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The Orie Condo: A New Benchmark in Luxury Living at Toa Payoh

The Orie Condo, developed by CDL, Frasers Property, and Sekisui House, offers smart-enabled units in Toa Payoh with top-tier amenities, prime location, excellent connectivity, and proximity to schools and essential services.




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Nvidia B200 GPU and Google Trillium TPU debut on the MLPerf Training v4.1 benchmark charts; the B200 posted a doubling of performance on some tests vs. the H100

Nvidia, Oracle, Google, Dell and 13 other companies reported how long it takes their computers to train the key neural networks in use today. Among those results were the first glimpse of Nvidia’s next generation GPU, the B200, and Google’s upcoming accelerator, called Trillium. The B200 posted a…




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AI Systems Solve Just 2% of Advanced Maths Problems in New Benchmark Test

Leading AI systems are solving less than 2% of problems in a new advanced mathematics benchmark, revealing significant limitations in their reasoning capabilities, research group Epoch AI reported this week. The benchmark, called FrontierMath, consists of hundreds of original research-level mathematics problems developed in collaboration with over 60 mathematicians, including Fields Medalists Terence Tao and Timothy Gowers. While top AI models like GPT-4 and Gemini 1.5 Pro achieve over 90% accuracy on traditional math tests, they struggle with FrontierMath's problems, which span computational number theory to algebraic geometry and require complex reasoning. "These are extremely challenging. [...] The only way to solve them is by a combination of a semi-expert like a graduate student in a related field, maybe paired with some combination of a modern AI and lots of other algebra packages," Tao said. The problems are designed to be "guessproof," with large numerical answers or complex mathematical objects as solutions, making it nearly impossible to solve without proper mathematical reasoning. Further reading: New secret math benchmark stumps AI models and PhDs alike.

Read more of this story at Slashdot.




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Ontario man bench presses his own weight to break world record

A Canadian man bench-pressed his body weight and unofficially broke a Guinness World Record with 38 repetitions in 30 seconds.




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GIGABYTE’s R183-Z93 Achieves Leading Scores in Latest SPEC CPU Benchmarks

Nov. 13, 2024 — Giga Computing, a subsidiary of GIGABYTE and a leader in generative AI servers and advanced cooling technologies, today announced that the innovative GIGABYTE R183-Z93 server has […]

The post GIGABYTE’s R183-Z93 Achieves Leading Scores in Latest SPEC CPU Benchmarks appeared first on HPCwire.




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Deep Democratic bench gets opportunity in political wilderness

For the first time in four years, Democrats are leaderless. But chaos is a ladder, as the saying goes, and the party is packed with climbers.




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SC constitutional bench to take up 18 rights cases today

• Matters include review of Justice Isa’s appointment as BHC CJ, pollution caused by industries in Islamabad
• SCBA says 26th amendment has rendered ‘fundamental rights a mere farce’, executive can’t pick and choose judges

ISLAMABAD: Amidst the backdrop of deteriorating air quality, the Supreme Court’s constitutional bench will take up on Thursday (Nov 14) as many as 18 human rights cases, including one related to air pollution as well as a review petition against the 2018 judgement on the appointment of Justice Qazi Faez Isa as Balochistan High Court chief justice.

Likewise, a six-judge constitutional bench, headed by Justice Aminuddin Khan, will resume hearing around 10 cases, including suo motu cases such as lady health workers programme, harassment case of singer Meesha Shafi and similar other harassment case.

Justice Jamal Khan Mandokhail, Justice Muhammad Ali Mazhar, Justice Syed Hassan Azhar Rizvi, Justice Musarat Hilali and Justice Naeem Akhtar Afghan will be part of the bench.

The six-judge bench was formed in view of unavailability of the seventh judge, Justice Ayesha A Malik, on Nov 14 and Nov 15.

The cause list was issued after a meeting of the three-judge committee constituted as per Article 191A (4) under the chairmanship of Justice Aminuddin Khan to discuss matters related to the composition of the constitutional bench. The committee had resolved that priority should be accorded to the oldest cases.

The SC had constituted a three-judge committee to determine fixation, issuance of court roster, sitting of benches and number of cases to be heard in a week by the constitutional benches, which the top court had formed recently.

On Thursday, the constitutional bench will also resume the 2007 hearing of a public petition against pollution caused by industrial units in Islamabad’s Sectors I-9 and I-10. The petitions were filed by one Nazir Ahmed and other residents of I-9 and I-10 about environmental degradation causing asthma, respiratory infections, allergies and heart ailments since the establishment of industrial units, especially steel furnaces and marble units, in the Federal Capital Industrial Estate.

In 1993, the CDA had developed a negative list of undesirable industrial plants working in the industrial estate. It encouraged them, especially the steel furnaces, to switch to some other trade and offered not to charge the normal fee.

According to earlier reports, 1,500 tonnes of effluents generated by the pharmaceutical industry, flour mills, oil and ghee mills, marble factories and plastic extrusion mills are thrown into the Leh nullah every day, heavily polluting underground water. Around 500 factories in the I-9 and I-10 industrial estates were causing water and air pollution in the area like the steel melting furnaces, re-rolling mills, flour mills, oil and ghee mills, marble cutting and polishing units and metal working and engineering units, GI pipes, soap, chemical, plastic, marble, spices and printing, a report had suggested.

A number of applications by different industrial units in the affected sectors were also pending before the court against the decision to de-seal these steel and casting units. Overall air pollution in the country was also on the table of the constitutional bench.

Some cases concern the restoration of the trial court under the control of narcotic substance act, or appointment of certain officers, though most of the cases have become infructuous.

One of the review petitions relates to the appointment of Justice Isa as BHC chief justice. The review petition was filed by Advocate Riaz Hanif Rahi against the July 7, 2018, SC judgement in which the court, while rejecting the petition, had held that the appointment was done in view of the extraordinary circumstances when all the judges, including the then chief justice, had resigned and the high court had become vacant. As such the initiation of the name of Justice Isa as BHC CJ was made in an exigency and thus not hit by any illegality, former CJP Mian Saqib Nisar had held in a seven-page verdict.

Earlier on April 5, a three-judge SC bench rejected the petition of Advocate Rahi challenging the appointment and later elevation of Justice Isa to the Supreme Court.

The detailed judgement had observed that the appointment of Justice Isa directly as BHC CJ was legal because it was made by the President and the then-Balochistan governor conferred it, thus meeting the requirement of Article 193.

SCBA sees threat to democracy

Meanwhile, in a statement, the recently elected secretary of the Supreme Court Bar Association (SCBA) Salman Mansoor categorically condemned the 26th Amendment as being against ordinary citizens and a direct threat to democracy and freedom in Pakistan.

The 26th Amendment was in violation of the principle of separation of powers and independence of judiciary, which “now stand altered, repealed and abrogated”, he said, adding those principles were guardians of fundamental rights of ordinary citizens and ensure a free, fair and democratic society and state.

The executive is the strongest adversary of ordinary citizens and their daily opponent in courts, he said, adding that the executive, enjoying majority in parliament, could not be allowed to select judges of its choice in all litigation where challenges are made to constitutional authority of executive and parliament.

Published in Dawn, November 14th, 2024




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Bears veterans want Caleb Williams benched after offensive coordinator was fired: report

The Chicago Bears fired offensive coordinator Shane Waldron, and, according to a new report, some veterans want Caleb Williams benched.



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SKDRDP provides desks and benches worth ₹2.75 crore to 507 government primary schools in four districts of Karnataka

Rajya Sabha MP Veerendra Heggade urges parents to get their wards admitted to government schools as they now have better facilities




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Marakumbi atrocity case: 99 persons granted bail by High Court Dharwad Bench




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SC releases cause list for cases to be heard by constitutional bench

The Supreme Court on Wednesday released the cause list of cases which will be heard by the recently established constitutional bench on November 14 and 15.

Earlier, the SC constituted a three-judge committee to fix cases, issue court rosters, form benches, and decide weekly caseload for its recently established constitutional bench.

SC on Tuesday announced that the constitutional bench will start hearing cases on November 14 and 15.

According to the cause list, available on the SC’s website, a six-member bench headed by Justice Aminud Din Khan will hear a total of 34 cases, including 18 cases on Nov 14 and 16 cases on November 15.

On Nov 5, the Judicial Commission of Pakistan (JCP), in its maiden session, had picked Justice Amin as head of the constitutional bench by a seven-to-five majority.

Chaired by Chief Jus­tice of Pakistan (CJP) Jus­tice Yahya Afridi, the reconstituted JCP for­m­ed a seven-member con­stitutional bench, inc­­luding Justices Ami­nud Din Khan, Jamal Khan Mandokhail, Muha­m­mad Ali Mazhar, Ayesha A Malik, Hassan Azhar Rizvi, Musarrat Hilali and Naeem Akhtar Afghan.

Cases related to environmental pollution from 1993, 2003, and 2018 have been scheduled for hearing.

The scheduled cases also include a revision petition against the dismissal of the petition regarding the appointment of Qazi Faez Isa as the chief jus­tice of the Balochistan High Court.

A request for rescheduling the 2024 general elections has also been fixed for hearing where the petition sought to shift the elections from Feb to the first week of March.

According to the cause list, cases related to harassment of women in offices have been fixed. The Ali Zafar and Meesha Shafi harassment case has also been fixed for hearing.

A suo motu notice case on private use of the Islamabad Convention Centre will also be heard by the bench. The convention centre suo motu was taken on the note of former judge Qazi Faiz Isa.

An application filed for the disqualification of the members of the assembly having business and assets abroad has also been scheduled.

Other scheduled cases include a petition for banning the marriage of government officials with foreign nationals, a petition to declare the legislation passed by the Pakistan Democratic Movement (PDM) government as null and void and a suo motu notice case on overseas bank accounts of Pakistanis.

A petition filed by Mohammad Ali Durrani to bring back laundered money from other countries will also be heard.

Moreover, cases related to the jurisdiction of Gilgit-Baltistan courts in Pakistan and various applications of Khawaja Asif regarding energy projects have also been scheduled.




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LXer: AmpereOne CPPC CPUFreq Schedutil vs. Performance Governor Benchmarks

Published at LXer: Similar to the ACPI CPUFreq and AMD/Intel P-State CPU frequency scaling driver and scaling governor benchmarks and power efficiency comparisons I routinely do on Phoronix, when...



  • Syndicated Linux News

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LXer: Early Linux 6.12 Kernel Benchmarks Showing Some Nice Gains On AMD Zen 5

Published at LXer: With the Linux 6.12 merge window wrapping up this weekend and the bulk of the new feature merges now in the tree, I've begun running some Linux 6.12 benchmarks. Here is an...



  • Syndicated Linux News

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Body Pump 62 Lunges: To Bench, or Not To Bench?

As we pointed out in our review of this latest release, the floor's clearly the best place for the bar to rest during Body Pump 62's killer lunge track. After all, the amount of weight a bar adds to the lunge workout is relatively small in comparison to a person's total body weight - it's actually the extra work involved with maintaining your balance and form that really ups the ante when you lay that bar across your shoulders. Do the math - you're probably adding maybe 5-10% more weight, at most.

But what about the bench? After giving this track a fair run for the money in our classes, there's little doubt in our minds that it's pretty doggone easy to underestimate the effect this has on the workout. Get out your measuring tape and likely to find the average bench probably sits a good 1/3 the height of whatever vertical distance the typical lunge covers. And if that figure's even remotely accurate, consider this: You'd have to extend the usual 4:45 lunge track to well over six minutes long just to get the same workout! Yeah, the bench takes it to a whole new level.

So here's what we tell our classes: Leave the bar on the floor for the 62 lunge track. And, if you're new at this stuff (we define "new" as anything less than a month, at three times a week) then you're probably best served by setting the bench aside as well. There's no shame in perfecting your form before graduating to the tougher workout regimens. But for the regulars who've got that form nailed - complete with right angles in both knees on the downstroke - adding a bench to the mix is just what the doctor ordered. Grab your weapon, folks - it's lunge time...




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Incline Dumbbell Biceps Curl on Bench

How to do the seated incline dumbbell biceps curl including HD exercise video.




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Hammer Chest Press on Incline Bench

How to do the incline hammer chest press with exercise video.




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Most 9800X3D reviews lacked 1440P and 4K gaming benchmarks, but I found some




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Understanding ESB Performance & Benchmarking

ESB performance is a hot (and disputed topic). In this post I don't want to talk about different vendors or different benchmarks. I'm simply trying to help people understand some of the general aspects of benchmarking ESBs and what to look out for in the results.

The general ESB model is that you have some service consumer, an ESB in the middle and a service provider (target service) that the ESB is calling. To benchmark this, you usually have a load driver client, an ESB, and a dummy service.

+-------------+      +---------+      +---------------+
| Load Driver |------|   ESB   |------| Dummy Service |
+-------------+      +---------+      +---------------+

Firstly, we want the Load Driver (LD), the ESB and the Dummy Service (DS) to be on different hardware. Why? Because we want to understand the ESB performance, not the performance of the DS or LD.

The second thing to be aware of is that the performance results are completely dependent on the hardware, memory, network, etc used. So never compare different results from different hardware.

Now there are three things we could look at:
A) Same LD, same DS, different vendors ESBs doing the same thing (e.g. content-based routing)
B) Same LD, same DS, different ESB configs for the same ESB, doing different things (e.g. static routing vs content-based routing)
C) Going via ESB compared to going Direct (e.g. LD--->DS without ESB)

Each of these provides useful data but each also needs to be understood.

Metrics
Before looking at the scenarios, lets look at how to measure the performance. The two metrics that are always a starting point in any benchmark of an ESB here are the throughput (requests/second) and the latency (how long each request takes). With latency we can consider overall latency - the time taken for a completed request observed at the LD, and the ESB latency, which is the time taken by the message in the ESB. The ESB latency can be hard to work out. A well designed ESB will already be sending bytes to the DS before its finished reading the bytes the LD has sent it. This is called pipelining. Some ESBs attempt to measure the ESB latency inside the ESB using clever calculations. Alternatively scenario C (comparing via ESB vs Direct) can give an idea of ESB Latency. 

But before we look at the metrics we need to understand the load driver.

There are two different models to doing Load Driving:
1) Do a realistic load test based on your requirements. For example if you know you want to support up to 50 concurrent clients each making a call every 5 seconds on average, you can simulate this.
2) Saturation! Have a large number of clients, each making a call as soon as the last one finishes.

The first one is aimed at testing what the ESB does before its fully CPU loaded. In other words, if you are looking to see the effect of adding an ESB, or the comparison of one ESB to another under realistic load, then #1 is the right approach. In this approach, looking at throughput may not be useful, because all the different approaches have similar results. If I'm only putting in 300 requests a sec on a modern system, I'm likely to see 300 request a sec. Nothing exciting. But the latency is revealing here. If one ESB responds in less time than another ESB thats a very good sign, because with the same DS the average time per request is very telling.

On the other hand the saturation test is where the throughput is interesting. Before you look at the throughput though, check three things:
1) Is the LD CPU running close to 100%?
2) Is the DS CPU running close to 100%?
3) Is the network bandwidth running close to 100%?

If any of these are true, you aren't doing a good test of the ESB throughput. Because if you are looking at throughput then you want the ESB to be the bottleneck. If something else is the bottleneck then the ESB is not providing its max throughput and you aren't giving it a fair chance. For this reason, most benchmarks use a very very lightweight LD or a clustered LD, and similarly use a DS that is superfast and not a realistic DS. Sometimes the DS is coded to do some real work or sleep the thread while its executing to provide a more realistic load test. In this case you probably want to look at latency more than throughput.

Finally you are looking to see a particular behaviour for throughput testing as you increase load.
Throughput vs Load
The shape of this graph shows an ideal scenario. As the LD puts more work through the ESB it responds linearly. At some point the CPU of the ESB hits maximum, and then the throughput stabilizes.  What we don't want to see is the line drooping at the far right. That would mean that the ESB is crumpling under the extra load, and its failing to manage the extra load effectively. This is like the office worker whose efficiency increases as you give them more work but eventually they start spending all their time re-organizing their todo lists and less work overall gets done.

Under the saturation test you really want to see the CPU of the ESB close to 100% utilised. Why? This is a sign that its doing as much as possible. Why would it not be 100%? Two reasons: I/O, multi-processing and thread locks: either the network card or disk or other I/O is holding it up, the code is not efficiently using the available cores, or there are thread contention issues.

Finally its worth noting that you expect the latency to increase a lot under the saturation test. A classic result is this: I do static routing for different size messages with 100 clients LD. For message sizes up to 100k maybe I see a constant 2ms overhead for using the ESB. Suddenly as the message size grows from 100k to 200k I see the overhead growing in proportion to the message size.


Is this such a bad thing? No, in fact this is what you would expect. Before 100K message size, the ESB is underloaded. The straight line up to this point is a great sign that the ESB is pipelining properly. Once the CPU becomes loaded, each request is taking longer because its being made to wait its turn at the ESB while the ESB deals with the increased load.

A big hint here: When you look at this graph, the most interesting latency numbers occur before the CPU is fully loaded. The latency after the CPU is fully loaded is not that interesting, because its simply a function of the number of queued requests.

Now we understand the metrics, lets look at the actual scenarios.

A. Different Vendors, Same Workload
For the first comparison (different vendors) the first thing to be careful of is that the scenario is implemented in the best way possible in each ESB. There are usually a number of ways of implementing the same scenario. For example the same ESB may offer two different HTTP transports (or more!). For example blocking vs non-blocking, servlet vs library, etc. There may be an optimum approach and its worth reading the docs and talking to the vendor to understand the performance tradeoffs of each approach.

Another thing to be careful of in this scenario is the tuning parameters. Each ESB has various tuning aspects that may affect the performance depending on the available hardware. For example, setting the number of threads and memory based on the number of cores and physical memory may make a big difference.

Once you have your results, assuming everything we've already looked at is tickety-boo, then both latency and throughput are interesting and valid comparisons here. 

B. Different Workloads, Same Vendor
What this is measuring is what it costs you to do different activities with the same ESB. For example, doing a static routing is likely to be faster than a content-based routing, which in turn is faster than a transformation. The data from this tells you the cost of doing different functions with the ESB. For example you might want to do a security authentication/authorization check. You should see a constant bump in latency for the security check, irrespective of message size. But if you were doing complex transformation, you would expect to see higher latency for larger messages, because they take more time to transform. 

C. Direct vs ESB
This is an interesting one. Usually this is done for a simple static routing/passthrough scenario. In other words, we are testing the ESB doing its minimum possible. Why bother? Well there are two different reasons. Firstly ESB vendors usually do this for their own benefit as a baseline test. In other words, once you understand the passthrough performance you can then see the cost of doing more work (e.g. logging a header, validating security, transforming the message). 

Remember the two testing methodologies (realistic load vs saturation)? You will see very very different results in each for this, and the data may seem surprising. For the realistic test, remember we want to look at latency. This is a good comparison for the ESB. How much extra time is spent going through the ESB per request under normal conditions. For example, if the average request to the backend takes 18ms and the average request via the ESB takes 19ms, we have an average ESB latency of 1ms. This is a good result - the client is not going to notice much difference - less than 5% extra. 

The saturation test here is a good test to compare different ESBs. For example, suppose I can get 5000 reqs/sec direct. Via ESB_A the number is 3000 reqs/sec and via ESB_B the number is 2000 reqs/sec, I can say that ESB_A is providing better throughput than ESB_B. 

What is not  a good metric here is comparing throughput in saturation mode for direct vs ESB. 


Why not? The reason here is a little complex to explain. Remember how we coded DS to be as fast as possible so as not to be a bottleneck? So what is DS doing? Its really just reading bytes and sending bytes as fast as it can. Assuming the DS code is written efficiently using something really fast (e.g. just a servlet), what this is testing is how fast the hardware (CPU plus Network Card) can read and write through user space in the operating system. On a modern server hardware box you might get a very high number of transactions/sec. Maybe 5000req/s with each message in and out being 1k in size.

So we have 1k in and 1k out = 2k IO.
2k IO x 5000 reqs/sec x 8bits gives us the total network bandwidth of 80Mbits/sec (excluding ethernet headers and overhead).

Now lets look at the ESB. Imagine it can handle 100% of the direct load. There is no slowdown in throughput for the ESB. For each request it has to read the message in from LD and send it out to DS. Even if its doing this in pipelining mode, there is still a CPU cost and an IO cost for this. So the ESB latency of the ESB maybe 1ms, but the CPU and IO cost is much higher. Now, for each response it also has to read it in from DS and write it out to LD. So if the DS is doing 80Mbits/second, the ESB must be doing 160Mbits/second. 

Here is a picture.

Now if the LD is good enough, it will have loaded the DS to the max. CPU or IO capacity or both will be maxed out. Suppose the ESB is running on the same hardware platform as the DS. If the DS machine can do 80Mbit/s flat out, there is no way that the same hardware running as an ESB can do 160Mbit/s! In fact, if the ESB and DS code are both as efficient as possible, then the throughput via ESB will always be 50% of the throughput direct to the DS. Now there is a possible way for the ESB to do better: it can be better coded than the DS. For example, if the ESB did transfers in kernel space instead of user space then it might make a difference. The real answer here is to look at the latency. What is the overhead of adding the ESB to each request. If the ESB latency is small, then we can solve this problem by clustering the ESB. In this case we would put two ESBs in and then get back to full throughput.

The real point of this discussion is that this is not a useful comparison. In reality backend target services are usually pretty slow. If the same dual core server is actually doing some real work - e.g. database lookups, calculations, business logic - then its much more likely to be doing 500 requests a second or even less. 

The following chart shows real data to demonstrate this. The X-Axis shows increasing complexity of work at the backend (DS). As the effort taken by the backend becomes more realistic, the loss in throughput of having an ESB in the way reduces. So with a blindingly fast backend, we see the ESB struggling to provide just 55% of the throughput of the direct case. But as the backend becomes more realistic, we see much better numbers. So at 2000 requests a second there is barely a difference (around 10% reduction in throughput). 


In real life, what we actually see is that often you have many fewer ESBs than backend servers. For example, if we took the scenario of a backend server that can handle 500 reqs/sec, then we might end up with a cluster of two ESBs handling a cluster of 8 backends. 

Conclusion
I hope this blog has given a good overview of ESB performance and benchmarking. In particular, when is a good idea to look at latency and when to use throughput. 





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Intel Arc 140V iGPU Benchmarks vs Radeon 890M and more @ NT Compatible

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Judiciary stakes: Bar-bench bond breached in 2010 clashes

Lawyers movement forgotten as year dominated by clashes within legal community.




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Benchmarking - ASQ™ TV

This ASQ TV episode covers the basics of benchmarking, reviews the recommended six phases of a benchmarking process, and explains one vital ingredient in benchmarking: metrics.




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In a first, constitutional bench to begin hearing cases from Nov 14

Facade of the Supreme Court. — SC website/file

Justice Mandokhail, Justice Mazhar attended committee’s meeting. Meeting held to discuss matters related to constitutional bench.Justice Ayesha will not be available on Nov 14, 15, says SC.




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Benchmark survey of the common plants in North-east of England to help biodiversity change monitoring

A recently completed benchmark survey of common plants provides a comprehensive dataset of vascular plant diversity and abundance in South Northumberland and Durham, contributing an additional 35,000 observations to the 200,000 observations collected by local recorders since the turn of the millennium.

Apart from contributing an updated inventory of vascular plant diversity, the survey is intended to be used as a reference point with which to identify change in the countryside and study the drivers of biodiversity change in the North-east of England.

Changes in the abundance of rare species have little impact on other species, but change in the abundance of common species can have cascading effects on whole ecosystems. The new survey provides a solid foundation that can be used to qualify the abundance of common species and compare against previous and future studies.


The distribution of heather predicted from the common plant survey data. This is one of the region's most characteristic species and one that many other organisms rely upon for food and cover.

The survey was part of the North-East Common Plants Survey Project, conducted over four years and required volunteers to go to various places. Some surveyed post-industrial brown-field sites, while others walked for miles across bleak moorland to reach sites high in the hills. Although these moors are arguably wilder and natural, the industrial wastelands turn out to be far more biodiverse.

Botanical surveying continues in the region despite the end of the project. Volunteers continue to monitor rare plants in the region and are currently working towards the next atlas of Britain and Ireland, coordinated by the Botanical Society of Britain and Ireland.

This survey is also among the first one to make use of the Integrated Publishing Toolkit (IPT) functionality, jointly developed by EU BON and GBIF, that allows the easy export and exposure of datasets to maximize their discoverability and reuse. The survey was published in the Biodiversity Data Journal, providing easy and streamlined publication of GBIF data via a variety of newly introduced plugins.

Original Source:

Groom Q, Durkin J, O'Reilly J, Mclay A, Richards A, Angel J, Horsley A, Rogers M, Young G (2015) A benchmark survey of the common plants of South Northumberland and Durham, United Kingdom. Biodiversity Data Journal 3: e7318. doi: 10.3897/BDJ.3.e7318





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A benchmark survey of the common plants of South Northumberland and Durham, United Kingdom




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Benches and Bleachers

For most people who know me very well, it’s no surprise to learn that I graduated from college with a BA in Religion. What might come as a shock though is the fact that my minor was in Recreation. See, I’m not exactly what you would call the athletic or sporty type. You probably won’t catch me running much unless someone with a weapon is chasing me or one of my children has run out into the street. And while I can host a killer Super Bowl party, chances are, I have no idea who is playing because I just want to see the half-time show. It just so happened that a Recreation minor would get me done with school the fastest, so I went with it. With all that said, something has been brewing on my heart for some time now, and the image that pops into my mind every time I think about it is, of all things, sports related, and it revolves around the idea of benches and bleachers. 

We’ve all been there, probably more than once, and we’ll all be there again. Sidelined . . . pulled . . . a spectator at the game(s) we wish we were playing in. Sometimes it’s by choice and other times it’s by force, but either way, it’s an opportunity for real growth and understanding if handled well. I wish I could say I’ve always processed these seasons like a champ, but no can do. However, I have learned some solid lessons along the way. 

There are two kinds of spectators at a sporting event. There are those on the bench and those in the bleachers. The first group is made up of team members not currently playing on the field whether it’s because they’re just waiting their turn, recovering from an injury, too green to actually play, or made to sit out because of poor behavior. But, they are still team members. They have actual skin in the game, which means they bear part of the weight of the mantle of their team winning or losing. The latter is made up of those cheering on one of the competing teams. It’s family members, friends, mentors, and admirers supporting their loved ones. There are similarities between these two groups of people, but there are drastic differences that are worth exploring because they can be a game changer for you as you process through your seasons as a spectator. Once I realized the differences, a new level of peace settled into my heart that carried me through my own similar season.

A little backstory . . . Upon my family’s move to the Nashville area at the very end of 2016, I was met with my first spectator season in over 12 years. I went from leading worship on a weekly basis to not being behind a microphone for over 9 months. During that time, multiple opportunities presented themselves to embed myself into some different ministry opportunities. Each of them was different from one another, but each of them also would allow me to utilize my unique gifts well. I began exploring, networking, and building relationships while praying for clarity as to where the Lord wanted me to focus my energies and efforts. Over a few months, it started to become clearer and clearer where my gifts were more effective and where they were not. I had assumed that reaching this point would be followed by relief, but instead I was confronted with an unexpected confusion and disappointment because the places I was being met with the most resistance were the places I thought were the obvious matches. I began praying specifically for understanding and that’s when the Lord began showing me these visions of benches and bleachers. I was trying to force myself into a game that I wasn’t supposed to be playing. Instead, the Lord wanted me in the bleachers cheering on that particular ministry so that He could use me in another game that needed my specific giftings more. 

Once I wrapped my heart and mind around this idea, those feelings of rejection and failure began to disappear and a deeper level of comfort began to settle in. Soon after, doors began opening for me to serve elsewhere effectively and wholeheartedly, all while still being able to joyfully and authentically root for those other ministries to thrive. 

Can any of you relate? Perhaps you’re in the middle of a similar season now, where you’ve been pulled out of a game you were comfortable in. Maybe you’re transitioning from vocational worship ministry at a local church to a broader form of ministry. Maybe a ministry you were heavily invested in is moving in a different direction and you’re not sure where you fit into it all. Whatever it is, you’ve found yourself no longer playing an active role in it and you’re not sure where to go from here. 
This is where scriptures that we’ve been quoting since 1st grade become alive and active in a new way. 

Trust in the Lord with all your heart, and do not lean on your own understanding. In all your ways acknowledge Him, And He will make your paths straight.  - Proverbs 3:5-6
In times like this, we have to learn to press harder into the Father heart of God, trust that He has a perfect plan, and resist the urge to try and understand things from our temporal perspectives. Instead, refocus your prayers and searching on things such as….
  1. Do you feel confident that this is still the game you’re supposed to be in, whether now or in the future?
  2. If so, is there any reason that the Lord might have moved from the field to the bench? A secret sin? Burnout? A hurt that is keeping you from being effective? Perhaps just to rest?
  3. If not, what could He possibly be moving you toward? Is there another ministry opportunity in your peripheral that you could invest in? Is there a new gift that He’s been fostering in you to use somewhere else?
This obviously is not an exhaustive list, rather just a place to start. Nevertheless, times of restlessness are rarely for no reason. Usually the Lord is at work, doing something that He’s not quite ready to reveal yet. The best thing we can do in those seasons is keep asking for His direction for the next step, resting in His peace as we continue moving forward, and believing for His best as we pursue His heart and will.

 




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Bench-mounted and pedestal grinder safety

Bench-mounted and pedestal grinders – which are equipped with abrasive stones, wire brushes and buffing brushes to sharpen, grind, strip and polish metal – can be found in many industrial settings, according to the FIOSA-MIOSA Safety Alliance of British Columbia.




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ASIS Standard Sets New Benchmark for Cannabis Security Measures

The ANSI-approved standard aligns with the enterprise security risk management (ESRM) approach, serving as a tool to safeguard cannabis organizations and their assets by taking a holistic perspective.




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Bench grinder safety gauge

The Bench Grinder Safety Gauge is designed for use during the installation, maintenance and inspection of bench/pedestal grinders to ensure compliance with OSHA 1910.215.




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NSC releases report on MSD prevention benchmarking survey

Itasca, IL — Improving methods of tracking musculoskeletal disorders, continuously monitoring and assessing physical risk factors, and sharing best practices can help workplace MSD prevention programs have real impact.




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2020 Graduate in CPU Benchmarks, Graduates, Cambridge, UK, Hardware Engineering

If you consider yourself creative, innovative, a problem solver and you would like to influence and contribute to defining the next-generation CPUs that will be used in billions of devices worldwide, you will enjoy working and developing your professional career with us.

We are looking for graduate engineers who are passionate about understanding the workloads of the future to join our CPU benchmarking team.

Our benchmarking team is in charge of interacting with product managers, partners, CPU leads and performance modelling leads to understand the most relevant applications industry will use in the future and help to characterise and reproduce them on cutting-edge environments ranging from simulation to emulation or FPGA. The team is also responsible for investigating novel techniques to facilitate the utilisation of benchmarks that are relentlessly growing in complexity and make them suitable for the exploration of next generation CPU cores and systems.

As part of the CPU team, we will collaborate to innovate and find engineering solutions to the challenges of tomorrow in areas like IoT, automotive, servers or mobile; we will make devices smarter and more useful to society. Your contributions will help to build new technology that will influence the lives of billions of people!

Graduate on CPU Benchmark Role at Arm

We have exciting opportunities in the CPU group, where you will be part of a highly motivated team that helps define new generations of mainstream processors.

You will have real responsibilities from day one and you will get support and mentorship from specialists that will help you succeed and develop your career. Through teamwork, training, and dedication to personal development, we ensure that every graduate matures to become a specialist in the field.

You will work in a multi-site, multi-cultural environment and will have the opportunity to work on different projects.

What will your role be?

  • You will contribute to the definition of the next generation of Arm’s IP products, identifying and enabling new benchmarks, and proposing new insights on methodologies that could improve current practice in benchmark characterisation and simulation.
  • Together with marketing, technical leads, modelling leads and partners we will align on applications that will represent market requirements for future products.
  • You will propose, develop and maintain innovative ways of making relevant applications and benchmarks suitable for sophisticated simulation platforms.
  • You will collaborate with technical leads, performance modelling engineers and designers while doing performance analysis on existing and future designs.
  • Explore new methodologies and novel software techniques that will improve modelling efficiency.




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Benchmarking predictive methods for small-angle X-ray scattering from atomic coordinates of proteins using maximum likelihood consensus data

Stimulated by informal conversations at the XVII International Small Angle Scattering (SAS) conference (Traverse City, 2017), an international team of experts undertook a round-robin exercise to produce a large dataset from proteins under standard solution conditions. These data were used to generate consensus SAS profiles for xylose isomerase, urate oxidase, xylanase, lysozyme and ribonuclease A. Here, we apply a new protocol using maximum likelihood with a larger number of the contributed datasets to generate improved consensus profiles. We investigate the fits of these profiles to predicted profiles from atomic coordinates that incorporate different models to account for the contribution to the scattering of water molecules of hydration surrounding proteins in solution. Programs using an implicit, shell-type hydration layer generally optimize fits to experimental data with the aid of two parameters that adjust the volume of the bulk solvent excluded by the protein and the contrast of the hydration layer. For these models, we found the error-weighted residual differences between the model and the experiment generally reflected the subsidiary maxima and minima in the consensus profiles that are determined by the size of the protein plus the hydration layer. By comparison, all-atom solute and solvent molecular dynamics (MD) simulations are without the benefit of adjustable parameters and, nonetheless, they yielded at least equally good fits with residual differences that are less reflective of the structure in the consensus profile. Further, where MD simulations accounted for the precise solvent composition of the experiment, specifically the inclusion of ions, the modelled radius of gyration values were significantly closer to the experiment. The power of adjustable parameters to mask real differences between a model and the structure present in solution is demonstrated by the results for the conformationally dynamic ribonuclease A and calculations with pseudo-experimental data. This study shows that, while methods invoking an implicit hydration layer have the unequivocal advantage of speed, care is needed to understand the influence of the adjustable parameters. All-atom solute and solvent MD simulations are slower but are less susceptible to false positives, and can account for thermal fluctuations in atomic positions, and more accurately represent the water molecules of hydration that contribute to the scattering profile.




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Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions

Conformational heterogeneity of biological macromolecules is a challenge in single-particle averaging (SPA). Current standard practice is to employ classification and filtering methods that may allow a discrete number of conformational states to be reconstructed. However, the conformation space accessible to these molecules is continuous and, therefore, explored incompletely by a small number of discrete classes. Recently developed heterogeneous reconstruction algorithms (HRAs) to analyse continuous heterogeneity rely on machine-learning methods that employ low-dimensional latent space representations. The non-linear nature of many of these methods poses a challenge to their validation and interpretation and to identifying functionally relevant conformational trajectories. These methods would benefit from in-depth benchmarking using high-quality synthetic data and concomitant ground truth information. We present a framework for the simulation and subsequent analysis with respect to the ground truth of cryo-EM micrographs containing particles whose conformational heterogeneity is sourced from molecular dynamics simulations. These synthetic data can be processed as if they were experimental data, allowing aspects of standard SPA workflows as well as heterogeneous reconstruction methods to be compared with known ground truth using available utilities. The simulation and analysis of several such datasets are demonstrated and an initial investigation into HRAs is presented.




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Benchmarking benchmarks

At the tops of many mountains and along numerous roads across the USA are small brass disks called benchmarks.  These survey points are critical for mapping the landscape, determining boundaries, and documenting changes, and there are hundreds of them in Yellowstone National Park!




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Hardy launches HIBSD Bench Scale with display

Bright, integrated backlit display enables easy operation for weighing applications.




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INDCO benchtop mixers

INDCO HS-100 and HS-300 series benchtop dispersers can mix up to 5 gallons of materials at a time, making them ideal for a wide range of high shear applications within labs, pilot plants, and small-scale production environments.




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INDCO HS-100 and HS-300 series benchtop dispersers

INDCO HS-100 and HS-300 series benchtop dispersers can mix up to 5 gallons of materials at a time, making them ideal for a wide range of high shear applications within labs, pilot plants, and small-scale production environments.




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Admix debuts Benchmix 10 high shear lab mixer

The Benchmix 10 includes the patented Admix Rotosolver high shear mix head, engineered for high efficacy of wetting out and dispersing powders, eliminating agglomerates, and creating homogenous mixtures and emulsions. 




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Bottlers adjust benchmarks for today’s unit sales

The cost tracking of production is a never ending task for those responsible for recording, compiling and analyzing raw and packaging materials costs to determine realistic, accurate and beneficial data upon which to base selling prices in complicated and diverse markets.




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3 Wage Cases To Watch As Justices Return To Bench

Alex MacDonald says a California assembly bill unlawfully targets certain companies or groups of companies.

Law360 Employment Authority

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Dispense Works Introduces RF Series Benchtop Filling & Capping System

The RF Dispensing System features big performance and is available in several configurations to best suit unique requirements.




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[ E.840 (06/18) ] - Statistical framework for end-to-end network-performance benchmark scoring and ranking

Statistical framework for end-to-end network-performance benchmark scoring and ranking




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U4SSC - Policy benchmarks for digital transformation of people-centred cities

U4SSC - Policy benchmarks for digital transformation of people-centred cities




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[ F.748.18 (12/22) ] - Metric and evaluation methods for AI-enabled multimedia application computing power benchmark

Metric and evaluation methods for AI-enabled multimedia application computing power benchmark





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Despite long struggle over intellectual property, DoD still lacks bench of IP experts

DoD has funding for only five positions through 2023 for its new IP cadre. And the temporality of the jobs is an impediment to hiring the long-term experts DoD needs, according to the Government Accountability Office.

The post Despite long struggle over intellectual property, DoD still lacks bench of IP experts first appeared on Federal News Network.




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Apple’s New Benchmark, ‘GSM-Symbolic,’ Highlights AI Reasoning Flaws

A recent study conducted by Apple's artificial intelligence (AI) researchers has raised significant concerns about the reliability of large language models (LLMs) in mathematical reasoning tasks. Despite the impressive advancements made by models like OpenAI's GPT and Meta's LLaMA, the study reveals fundamental flaws in their ability to handle even basic arithmetic when faced with slight variations in the wording of questions.




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Thermo-Hydro-Mechanical-Chemical Processes in Fractured Porous Media: Modelling and Benchmarking Benchmarking Initiatives

Location: Electronic Resource- 




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Cam Newton Benched Over COVID ‘Misunderstanding’

It could open the gate for rookie QB Mac Jones to start.