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Shiba Inu (SHIB) Price Predicted To Surge By 300% As 500M SHIB Tokens Burnt 

As the price of Bitcoin (BTC) recorded a new all-time high of $80,137, the overall cryptocurrency market experienced a massive inflow. The buying pressure was key to the recovery trend witnessed by most altcoins, including Shiba Inu (SHIB), which saw its burn rate surge remarkably.  Shiba Inu Burns Nearly 500M SHIB Coins As Memecoin Surges [...]




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Trump Appoints Elon Musk To Lead D.O.G.E. Commission. Experts Predict DOGE Price To Hit $2.4

U.S. President-elect Donald Trump has named Tesla CEO Elon Musk and former Republican presidential candidate Vivek Ramaswamy to lead the newly formed Department of Government Efficiency (D.O.G.E). The initiative aims to streamline government operations and cut wasteful government spending.  Trump Appoints Elon Musk And Vivek Ramaswamy To Head D.O.G.E And Cut $2 Trillion In Government [...]




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Satellite Collision Prediction Lost During Recent Solar Storm

Collision avoidance technologies need beefing up to cope with solar storms, says astronomers.




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Update: Comet Tsuchinshan-ATLAS Might Outshine Predictions

A new brightness forecast for Comet Tsuchinshan-ATLAS whets our hopes for a fine appearance in late September and early October.

The post Update: Comet Tsuchinshan-ATLAS Might Outshine Predictions appeared first on Sky & Telescope.



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Methodologies for Service Life Prediction of Buildings With a Focus on Façade Claddings

Location: Electronic Resource- 




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Industry analysts predict what 2024 holds for Illinois' real estate market

(The Center Square) – What is in store for the Illinois housing market in 2024 is uncertain, but inventories and interest rates are expected to be a major factor.




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Predictive Text Detox: Unplugging the Suggestions in iOS

In this episode, Thomas Domville demonstrates how to enable or disable predictive text and inline predictive text on iOS. Predictive text allows you to write entire sentences with just a few taps. As you type, suggested words, emoji, and information appear above the onscreen keyboard. You can double tap a suggestion to apply it. Inline predictions complete the word or phrase you’re currently typing, appearing in gray text. To accept an inline prediction, double tap the Space bar; to reject it, keep typing. You can manage predictive text settings in Keyboard settings on your iPhone 12 or newer models running iOS 17 or later versions.

Open Settings on your iPhone.
Scroll down and double tap on General.
Double tap Keyboard.
Double tap the Predictive switch to enable or disable predictive text.
To manage inline predictive text, ensure that the Predictive switch is enabled or disabled.
While typing, you’ll see inline predictions. To accept a suggestion, double tap the Space bar; to reject it, keep typing.

transcription:
Disclaimer: This transcript is generated by AIKO, an automated transcription service. It is not edited or formatted, and it may not accurately capture the speakers’ names, voices, or content.

Hello and welcome.

My name is Thomas Donville also known as AnonyMouse.

Now every so often when I am composing an email or I'm trying to send off a text to a friend or family whatever that might be and I'm using the keyboard as I'm typing there is something called predictive text that will pop up so it tries to predict what you are going to spell out and this feature what this does it tries to help you shorten your typing that you have to do so you just find the various words on top of your keyboard tap on that and it selects that then they have this inline predictive text now which is a newer feature which takes it a next step that allows you to highlight within the text itself and allows you to choose those words but for me those are distracting I am trying to focus and I am NOT a multitasker as I would love to be but as I'm typing along I it just bothers me hearing these words pop up and they don't help me at all I want to kind of stay focused and type in what I want so I'm going to show you how you can turn those features off if you are interested in doing so and if you are distracted like I am when those things come up I'm also going to show you some pointers and advice some other things you can turn off as well what they call features and for some may be distracting to you as well or something that drives you bonkers so do in order to go and change this settings we are going to head over to the native settings itself settings double tap to open now that you located the settings let's do one finger double tap to open this up settings now you are going to need to swipe to the right until we get to something called general general button and we are going to do one finger double tap here about button and now we are looking for something called keyboard so swipe to the right until you get to keyboard keyboard button and at last we are here one finger double tap on keyboard keyboards to button now the easiest way to get to the area that we need to do is set your rotor to headings and go to the first heading all keyboards heading and now what we're looking for is predictive text so swipe to the right a couple times and…




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How to Disable Predictive Text Suggestions on macOS

In this episode, Tyler demonstrates how to disable predictive text suggestions on macOS.

As you type on your Mac, macOS by default attempts to finish words and phrases it thinks you're trying to type. If you find that hearing these suggestions spoken by VoiceOver is more distracting than helpful, you can turn them off by going to System Settings > Keyboard, clicking the Edit button under the "Text input" heading, and toggling the "show inline predictive text" switch off.

transcription:

Disclaimer: This transcript is generated by AIKO, an automated transcription service. It is not edited or formatted, and it may not accurately capture the speakers’ names, voices, or content.

Hey, Apple vissers, Tyler here, with a quick tip for how to disable predictive text suggestions on macOS.

By default, as you type on your Mac, macOS attempts to finish words and phrases that it thinks you're trying to type.

While this may increase the speed of text entry for some, if you're a voiceover user, you may find that hearing these suggestions spoken while you're trying to type is more distracting than helpful, in which case you can turn them off.

To do that, go into system settings, keyboard, hit the edit button under the text input heading, and turn the show inline predictive text switch off.

And I'm going to demonstrate that now, I'm going to system settings on my Mac, k for keyboard, vio command h to get to the text input heading, vio right, edit, and at the leftmost of this dialog, k, that's what we want, vio right, scroll area, interact with vio shift down arrow, and vio right until I find the setting I want, show inline predictive text, if I vio right once more, show inline predictive text off switch, it's off for me because I turned it off.

If it's on for you and you want to turn it off, just press vio space, then stop interacting with the scroll area, with vio shift up arrow, and vio right to done, hit it, and here we are back in keyboard settings.

So now as you type, you will not hear text suggestions predicted by macOS, which could almost ironically increase your speed of text entry because this feature is off and is no longer giving you distracting or potentially distracting feedback.

So that's a tip for how to disable predictive text suggestions on macOS, I hope you found it helpful.

Peace.

Thank you.




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Trump, defying media predictions, mainly picks seasoned Capitol Hill veterans such as Marco Rubio

President-elect Donald Trump has gone against media expectations by tapping Marco Rubio, Kristi Noem and a number of other Capitol Hill veterans to fill posts in his second administration.



  • bc8dc025-a659-536a-88a9-491ba5ea4546
  • fnc
  • Fox News
  • fox-news/politics
  • fox-news/columns/media-buzz
  • fox-news/person/donald-trump
  • fox-news/politics/executive/white-house
  • fox-news/person/kristi-noem
  • fox-news/person/marco-rubio
  • fox-news/person/joe-biden
  • fox-news/politics
  • article

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A researcher explains why polls failed to predict a Trump victory

NPR's Scott Simon speaks to Sunmin Kim, an assistant professor in Dartmouth College's sociology department, about the reliability of political polling leading up to elections.




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Sportsbet predicts Labor to win Macarthur

BETTING agency Sportsbet has predicted Macarthur to be the only western Sydney seat expected to change hands after Saturday’s Federal Election.




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The Death and Life of Prediction Markets at Google—Asterisk

Over the past two decades, Google has hosted two different internal platforms for predictions. Why did the first one fail — and will the other endure?




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Kiszla: Fearless prediction for 2024? Nikola Jokic and Nathan MacKinnon will lead dueling victory parades through streets of Denver

On any given night, Nuggets center Nikola Jokic or Avalanche center Nathan MacKinnon can be a whole flight of stairs above any competitor on the court or in the rink.




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Perinchief Predicted Olympic Games Future

Bermuda triple jumper Jah-Nhai Perinchief was always confident he would one day represent the island at the Olympic Games. Perinchief, who is making his Olympic debut in Paris, gets his campaign underway today [August 7] in the men’s triple jump qualifiers at the Stade de France. In a YouTube video from the Youth Olympic Games […]






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‘Fart blaster’ tops Christmas toy wishlist as experts predict record sales

Despicable Me 4 tie-in smells more like popcorn while a waddling duck and an interactive pet monkey also feature A “fart blaster” with a repertoire of 15 sounds that blasts “fog fart rings” and a waddling mother duck are among the toys destined to appear on Christmas lists as experts predict a…





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Astronomers successfully predict an asteroid impact above Iceland

Two hours before asteroid 2022 EB5 entered Earth’s atmosphere, scientists knew exactly when and where the space rock would strike.




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The Role of Word-, Sentence-, and Text-Level Variables in Predicting Guided Reading Levels of Kindergarten and First-Grade Texts

Texts classified according to guided reading levels (GRL) are ubiquitous in U.S. beginning reading classrooms. This study examined features of texts across three grade bands (kindergarten, early first grade, final first grade) and the 10 GRLs within these bands. The 510 texts came from three programs with different functions in beginning reading instruction: core, intervention, and content areas.




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As Pepe Unchained Launch Date Nears, Analyst Makes ‘Massive’ Prediction For PEPU

Continuing to set records, Pepe Unchained recently achieved a new milestone after reaching $26 million. The project’s presale has now… Continue reading As Pepe Unchained Launch Date Nears, Analyst Makes ‘Massive’ Prediction For PEPU

The post As Pepe Unchained Launch Date Nears, Analyst Makes ‘Massive’ Prediction For PEPU appeared first on ReadWrite.




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News24 | Wednesday's weather: Severe weather predicted in parts of the country with multiple warnings issued

The country is set to experience varied weather conditions, with several impact-based warnings issued across various provinces, according to the South African Weather Service.




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China Needs to Make the Belt and Road Initiative More Transparent and Predictable

China Needs to Make the Belt and Road Initiative More Transparent and Predictable Expert comment sysadmin 29 April 2019

The global infrastructure project must move beyond mish-mash of opaque bilateral deals

Beijing hosts the Second Belt and Road Forum for International Cooperation. Photo: Getty Images.

As China welcomes dozens of world leaders to Beijing for its second Belt and Road forum, it has one simple aim: relaunching President Xi Jinping’s controversial global infrastructure drive.

Since it began five years ago, the Belt and Road Initiative (BRI) has sunk hundreds of billions into port, railway and power projects stretching from south-east Asia to central Europe. But its path has been bumpy, drawing sharp criticism over the ruinous debts that some countries have racked up amid Chinese largesse.

Xi will stress sustainable financing and transparency this week, amid the usual talk of ‘win win’ cooperation. Yet BRI’s problems are structural, not presentational. For any pledges to be meaningful, China must move beyond its present mish-mash of opaque, bilateral deals.

After bad headlines last year, BRI has in fact enjoyed a good run in recent weeks. Malaysia announced it would resume a previously cancelled high-speed rail project, while Italy’s decision to join up last month marked a further European incursion. Indeed, if attendance is any guide to success, BRI looks in fine fettle. The first forum in 2017 attracted 29 world leaders. China says 37 will turn up this week. Phillip Hammond, UK chancellor, arrives hunting deals too, just a day after news that Chinese technology group Huawei will be allowed to help build 5G networks in Britain.

Even so, three interlinked problems remain at the heart of President Xi’s pet project, all of which must be addressed if BRI is to move beyond the pitfalls that have damaged its reputation.

The first and most obvious is debt. Critics allege that China ‘traps’ its BRI partners financially, often pointing to a debt-for-equity deal that handed China control of a port in Sri Lanka. These claims are exaggerated — few other projects have ended up this way. Yet poorer nations from Laos to Tajikistan are still signing up to vastly expensive Chinese schemes that offer poor value for money while straining their public finances.

The second problem is transparency. Despite its grand scale there is still no reliable list of BRI projects, no disclosure of the lending standards China follows, nor even the amount China has invested. Beijing claims more than $1 trillion; independent estimates suggest perhaps a few hundred billion. Either way, it will be hard for China to convince doubters on debts until it is open about the criteria it uses in deciding who to lend to and why.

BRI’s third and most important challenge is its muddled organization. Despite BRI’s image as a centrally run mega-project, China has allowed many deals to be struck locally, via a mix of state-backed companies, public sector banks and freewheeling regional governments. And it is here that the problems began.

Infrastructure deals are notoriously complex, especially for transnational projects like high-speed rail. Renegotiations are common, even for experienced bodies like the World Bank. Yet BRI has repeatedly seen terms negotiated behind closed doors, in countries such as Malaysia and Pakistan, come unstuck in the face of public outcry.

Rather than seeking to trap others with debt, China’s central government more often has to step in to fix dubious projects agreed by underlings lower down the chain.

These negotiations go one of two ways. Either China’s partners complain and win terms, as was true in Malaysia and in Myanmar over a multibillion-dollar deep-sea port. Or, as in the case of Sri Lanka, the renegotiations go in China’s favour, but at the cost of accusations of debt trickery. In both cases China looks bad.

Speaking last year, Xi responded to criticism of BRI by describing it as ‘an open platform for cooperation’. Yet, so far, he has proved resistant to the step that would deliver on that vision — namely turning BRI into an institution with open standards and international partners.

The reasons for his reluctance are obvious. Ending BRI’s reliance on loose bilateral deals would limit Beijing’s room for geopolitical manoeuvre. Yet what might be lost in political flexibility could easily be gained in economic credibility, while avoiding some of the painful renegotiations that have dogged many BRI projects.

At a time when China’s economy is slowing and its current account surplus is shrinking, formalising and institutionalising, BRI could also help avoid wasting scarce public resources on white elephant projects. China even has an easy template in the form of the Asian Infrastructure Investment Bank, the Beijing-based institution that has won plaudits for its project quality and openness since it started in 2016.

Whichever model is chosen, a dose of Chinese-style central planning is called for, along with more openness. Without it, the oddly chaotic and decentralised model pioneered in BRI’s first five years is unlikely to help the project thrive over the next five.

This article was originally published in the Financial Times.




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GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy

Yu Xue
Sep 1, 2008; 7:1598-1608
Research




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Ukraine's Unpredictable Presidential Elections




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[18F]F-AraG Uptake in Vertebral Bone Marrow May Predict Survival in Patients with Non-Small Cell Lung Cancer Treated with Anti-PD-(L)1 Immunotherapy

Visual Abstract




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[18F]FDG and [68Ga]Ga-FAPI-04-Directed Imaging for Outcome Prediction in Patients with High-Grade Neuroendocrine Neoplasms

Visual Abstract




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Prediction and validation of mouse meiosis-essential genes based on spermatogenesis proteome dynamics

Kailun Fang
Nov 30, 2020; 0:RA120.002081v1-mcp.RA120.002081
Research




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Peptidomics-driven strategy reveals peptides and predicted proteases associated with oral cancer prognosis

Leandro Xavier Neves
Nov 11, 2020; 0:RA120.002227v1-mcp.RA120.002227
Research




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Peptidomics-driven strategy reveals peptides and predicted proteases associated with oral cancer prognosis [Research]

Protease activity has been associated with pathological processes that can lead to cancer development and progression. However, understanding the pathological unbalance in proteolysis is challenging since changes can occur simultaneously at protease, their inhibitor and substrate levels. Here, we present a pipeline that combines peptidomics, proteomics and peptidase predictions for studying proteolytic events in the saliva of seventy-nine patients and their association with oral squamous cell carcinoma (OSCC) prognosis. Our findings revealed differences in the saliva peptidome of patients with (pN+) or without (pN0) lymph node metastasis and delivered a panel of ten endogenous peptides correlated with poor prognostic factors plus five molecules able to classify pN0 and pN+ patients (ROC-AUC>0.85). In addition, endo- and exopeptidases putatively implicated in the processing of differential peptides were investigated using cancer tissue gene expression data from publicly repositories reinforcing their association with poorer survival rates and prognosis in oral cancer. The dynamics of the OSCC-related proteolysis was further explored via the proteomic profiling of saliva. This revealed that peptidase/endopeptidase inhibitors exhibited reduced levels in the saliva of pN+ patients, as confirmed by SRM-MS, whilst minor changes were detected in the level of saliva proteases. Taken together, our results indicated that proteolytic activity is accentuated in the saliva of OSCC patients with lymph node metastasis and, at least in part, this is modulated by reduced levels of salivary peptidase inhibitors. Therefore, this integrated pipeline provided better comprehension and discovery of molecular features with implications in the oral cancer metastasis prognosis.




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Prediction and validation of mouse meiosis-essential genes based on spermatogenesis proteome dynamics [Research]

The molecular mechanism associated with mammalian meiosis has yet to be fully explored, and one of the main reasons for this lack of exploration is that some meiosis-essential genes are still unknown. The profiling of gene expression during spermatogenesis has been performed in previous studies, yet few studies have aimed to find new functional genes. Since there is a huge gap between the number of genes that are able to be quantified and the number of genes that can be characterized by phenotype screening in one assay, an efficient method to rank quantified genes according to phenotypic relevance is of great importance. We proposed to rank genes by the probability of their function in mammalian meiosis based on global protein abundance using machine learning. Here, nine types of germ cells focusing on continual substages of meiosis prophase I were isolated, and the corresponding proteomes were quantified by high-resolution mass spectrometry. By combining meiotic labels annotated from the MGI mouse knockout database and the spermatogenesis proteomics dataset, a supervised machine learning package, FuncProFinder, was developed to rank meiosis-essential candidates. Of the candidates whose functions were unannotated, four of ten genes with the top prediction scores, Zcwpw1, Tesmin, 1700102P08Rik and Kctd19, were validated as meiosis-essential genes by knockout mouse models. Therefore,  mammalian meiosis-essential genes could be efficiently predicted based on the protein abundance dataset, which provides a paradigm for other functional gene mining from a related abundance dataset.




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Artificial Intelligence Prediction and Counterterrorism

Artificial Intelligence Prediction and Counterterrorism Research paper sysadmin 6 August 2019

The use of AI in counterterrorism is not inherently wrong, and this paper suggests some necessary conditions for legitimate use of AI as part of a predictive approach to counterterrorism on the part of liberal democratic states.

Surveillance cameras manufactured by Hangzhou Hikvision Digital Technology Co. at a testing station near the company’s headquarters in Hangzhou, China. Photo: Getty Images

Summary

  • The use of predictive artificial intelligence (AI) in countering terrorism is often assumed to have a deleterious effect on human rights, generating spectres of ‘pre-crime’ punishment and surveillance states. However, the well-regulated use of new capabilities may enhance states’ abilities to protect citizens’ right to life, while at the same time improving adherence to principles intended to protect other human rights, such as transparency, proportionality and freedom from unfair discrimination. The same regulatory framework could also contribute to safeguarding against broader misuse of related technologies.
  • Most states focus on preventing terrorist attacks, rather than reacting to them. As such, prediction is already central to effective counterterrorism. AI allows higher volumes of data to be analysed, and may perceive patterns in those data that would, for reasons of both volume and dimensionality, otherwise be beyond the capacity of human interpretation. The impact of this is that traditional methods of investigation that work outwards from known suspects may be supplemented by methods that analyse the activity of a broad section of an entire population to identify previously unknown threats.
  • Developments in AI have amplified the ability to conduct surveillance without being constrained by resources. Facial recognition technology, for instance, may enable the complete automation of surveillance using CCTV in public places in the near future.
  • The current way predictive AI capabilities are used presents a number of interrelated problems from both a human rights and a practical perspective. Where limitations and regulations do exist, they may have the effect of curtailing the utility of approaches that apply AI, while not necessarily safeguarding human rights to an adequate extent.
  • The infringement of privacy associated with the automated analysis of certain types of public data is not wrong in principle, but the analysis must be conducted within a robust legal and policy framework that places sensible limitations on interventions based on its results.
  • In future, broader access to less intrusive aspects of public data, direct regulation of how those data are used – including oversight of activities by private-sector actors – and the imposition of technical as well as regulatory safeguards may improve both operational performance and compliance with human rights legislation. It is important that any such measures proceed in a manner that is sensitive to the impact on other rights such as freedom of expression, and freedom of association and assembly.




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Predicting the Phillies' Opening Day roster

Phillies pitchers and catchers have their first workout Wednesday morning at Carpenter Complex. Almost anything can happen between Wednesday and Opening Day. That said, here is a very early prediction of the Phillies' Opening Day roster, knowing the Phillies remain in the hunt to sign Bryce Harper or Manny Machado.




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Predicting the Angels' Opening Day roster

The Angels head to Spring Training with most of their roster set, but there will be competition for a few spots. Here's a look at the projected roster for the Angels, as they begin their first campaign under manager Brad Ausmus.




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Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study




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Quantitative SPECT/CT Metrics in Early Prediction of [177Lu]Lu-DOTATATE Treatment Response in Gastroenteropancreatic Neuroendocrine Tumor Patients

Our objective is to explore quantitative imaging markers for early prediction of treatment response in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing [177Lu]Lu-DOTATATE therapy. By doing so, we aim to enable timely switching to more effective therapies in order to prevent time-resource waste and minimize toxicities. Methods: Patients diagnosed with unresectable or metastatic, progressive, well-differentiated, receptor-positive GEP-NETs who received 4 sessions of [177Lu]Lu-DOTATATE were retrospectively selected. Using SPECT/CT images taken at the end of treatment sessions, we counted all visible tumors and measured their largest diameters to calculate the tumor burden score (TBS). Up to 4 target lesions were selected and semiautomatically segmented. Target lesion peak counts and spleen peak counts were measured, and normalized peak counts were calculated. Changes in TBS (TBS) and changes in normalized peak count (nPC) throughout treatment sessions in relation to the first treatment session were calculated. Treatment responses were evaluated using third-month CT and were binarized as progressive disease (PD) or non-PD. Results: Twenty-seven patients were included (7 PD, 20 non-PD). Significant differences were observed in TBSsecond-first, TBSthird-first, and TBSfourth-first (where second-first, third-first, and fourth-first denote scan number between the second and first, third and first, and fourth and first [177Lu]Lu-DOTATATE treatment cycles), respectively) between the PD and non-PD groups (median, 0.043 vs. –0.049, 0.08 vs. –0.116, and 0.109 vs. –0.123 [P = 0.023, P = 0.002, and P < 0.001], respectively). nPCsecond-first showed significant group differences (mean, –0.107 vs. –0.282; P = 0.033); nPCthird-first and nPCfourth-first did not reach statistical significance (mean, –0.122 vs. –0.312 and –0.183 vs. –0.405 [P = 0.117 and 0.067], respectively). At the optimal threshold, TBSfourth-first exhibited an area under the curve (AUC) of 0.957, achieving 100% sensitivity and 80% specificity. TBSsecond-first and TBSthird-first reached AUCs of 0.793 and 0.893, sensitivities of 71.4%, and specificities of 85% and 95%, respectively. nPCsecond-first, nPCthird-first, and nPCfourth-first showed AUCs of 0.764, 0.693, and 0.679; sensitivities of 71.4%, 71.4%, and 100%; and specificities of 75%, 70%, and 35%, respectively. Conclusion: TBS and nPC can predict [177Lu]Lu-DOTATATE response by the second treatment session.




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Composite Prediction Score to Interpret Bone Focal Uptake in Hormone-Sensitive Prostate Cancer Patients Imaged with [18F]PSMA-1007 PET/CT

Unspecific bone uptake (UBU) related to [18F]PSMA-1007 PET/CT imaging represents a clinical challenge. We aimed to assess whether a combination of clinical, biochemical, and imaging parameters could predict skeletal metastases in patients with [18F]PSMA-1007 bone focal uptake, aiding in result interpretation. Methods: We retrospectively analyzed [18F]PSMA-1007 PET/CT performed in hormone-sensitive prostate cancer (PCa) patients at 3 tertiary-level cancer centers. A fourth center was involved in performing an external validation. For each, a volume of interest was drawn using a threshold method to extract SUVmax, SUVmean, PSMA tumor volume, and total lesion PSMA. The same volume of interest was applied to CT images to calculate the mean Hounsfield units (HUmean) and maximum Hounsfield units. Clinical and laboratory data were collected from electronic medical records. A composite reference standard, including follow-up histopathology, biochemistry, and imaging data, was used to distinguish between PCa bone metastases and UBU. PET readers with less (n = 2) or more (n = 2) experience, masked to the reference standard, were asked to visually rate a subset of focal bone uptake (n = 178) as PCa metastases or not. Results: In total, 448 bone [18F]PSMA-1007 focal uptake specimens were identified in 267 PCa patients. Of the 448 uptake samples, 188 (41.9%) corresponded to PCa metastases. Ongoing androgen deprivation therapy at PET/CT (P < 0.001) with determination of SUVmax (P < 0.001) and HUmean (P < 0.001) independently predicted bone metastases. A composite prediction score, the bone uptake metastatic probability (BUMP) score, achieving an area under the receiver-operating-characteristic curve (AUC) of 0.87, was validated through a 10-fold internal and external validation (n = 89 bone uptake, 51% metastatic; AUC, 0.92). The BUMP score’s AUC was significantly higher than that of HUmean (AUC, 0.62) and remained high among lesions with HUmean in the first tertile (AUC, 0.80). A decision-curve analysis showed a higher net benefit with the score. Compared with the visual assessment, the BUMP score provided added value in terms of specificity in less-experienced PET readers (88% vs. 54%, P < 0.001). Conclusion: The BUMP score accurately distinguished UBU from bone metastases in PCa patients with [18F]PSMA-1007 focal bone uptake at PET imaging, offering additional value compared with the simple assessment of the osteoblastic CT correlate. Its use could help clinicians interpret imaging results, particularly those with less experience, potentially reducing the risk of patient overstaging.




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Predicting Pathologic Complete Response in Locally Advanced Rectal Cancer with [68Ga]Ga-FAPI-04 PET, [18F]FDG PET, and Contrast-Enhanced MRI: Lesion-to-Lesion Comparison with Pathology

Neoadjuvant therapy in patients with locally advanced rectal cancer (LARC) has achieved good pathologic complete response (pCR) rates, potentially eliminating the need for surgical intervention. This study investigated preoperative methods for predicting pCR after neoadjuvant short-course radiotherapy (SCRT) combined with immunochemotherapy. Methods: Treatment-naïve patients with histologically confirmed LARC were enrolled from February 2023 to July 2023. Before surgery, the patients received neoadjuvant SCRT followed by 2 cycles of capecitabine and oxaliplatin plus camrelizumab. 68Ga-labeled fibroblast activation protein inhibitor ([68Ga]Ga-FAPI-04) PET/MRI, [18F]FDG PET/CT, and contrast-enhanced MRI were performed before treatment initiation and before surgery in each patient. PET and MRI features and the size and number of lesions were also collected from each scan. Each parameter’s sensitivity, specificity, and diagnostic cutoff were derived via receiver-operating-characteristic curve analysis. Results: Twenty eligible patients (13 men, 7 women; mean age, 60.2 y) were enrolled and completed the entire trial, and all patients had proficient mismatch repair or microsatellite-stable LARC. A postoperative pCR was achieved in 9 patients (45.0%). In the visual evaluation, both [68Ga]Ga-FAPI-04 PET/MRI and [18F]FDG PET/CT were limited to forecasting pCR. Contrast-enhanced MRI had a low sensitivity of 55.56% to predict pCR. In the quantitative evaluation, [68Ga]Ga-FAPI-04 change in SULpeak percentage, where SULpeak is SUVpeak standardized by lean body mass, had the largest area under the curve (0.929) with high specificity (sensitivity, 77.78%; specificity, 100.0%; cutoff, 63.92%). Conclusion: [68Ga]Ga-FAPI-04 PET/MRI is a promising imaging modality for predicting pCR after SCRT combined with immunochemotherapy. The SULpeak decrease exceeding 63.92% may provide valuable guidance in selecting patients who can forgo surgery after neoadjuvant therapy.




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BSC Develops AI Model to Predict Stroke Risk Using Mobile Devices

Nov. 8, 2024 — Barcelona Supercomputing Center‘s Innostroke project aims to transform the prevention and monitoring of stroke, one of the leading causes of death and disability worldwide, through artificial […]

The post BSC Develops AI Model to Predict Stroke Risk Using Mobile Devices appeared first on HPCwire.




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Quantum Algorithms Institute Drives Predictive Model Accuracy with Quantum Collaboration

SURREY, British Columbia, Nov. 12, 2024 — Today, the Quantum Algorithms Institute (QAI) announced a partnership with Canadian companies, AbaQus and InvestDEFY Technologies, to solve common challenges in training machine learning […]

The post Quantum Algorithms Institute Drives Predictive Model Accuracy with Quantum Collaboration appeared first on HPCwire.




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NOAA: Antarctic ozone hole has shrunk, full recovery predicted

A hole in the atmosphere's ozone layer is the seventh-smallest since recovery began in 1992, the National Oceanic and Atmospheric Administration announced Wednesday.




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What Predicts Early College Success for Indiana Students?

Research from REL Midwest examines the student characteristics associated with early college success in Indiana, with a focus on financial aid.




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Texas women's basketball preview, prediction: How to watch Longhorns' game against Lamar

On Wednesday at Moody Center, a Lamar team that went 24-7 last season should provide a tougher test for the Longhorns than in their season opener.




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Aperiodic EEG Predicts Variability of Visual Temporal Processing

Michele Deodato
Oct 2, 2024; 44:e2308232024-e2308232024
BehavioralSystemsCognitive




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To See or Not to See: Prestimulus {alpha} Phase Predicts Visual Awareness

Kyle E. Mathewson
Mar 4, 2009; 29:2725-2732
BehavioralSystemsCognitive




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Coupling of Slow Oscillations in the Prefrontal and Motor Cortex Predicts Onset of Spindle Trains and Persistent Memory Reactivations

Sleep is known to drive the consolidation of motor memories. During nonrapid eye movement (NREM) sleep, the close temporal proximity between slow oscillations (SOs) and spindles ("nesting" of SO-spindles) is known to be essential for consolidation, likely because it is closely associated with the reactivation of awake task activity. Interestingly, recent work has found that spindles can occur in temporal clusters or "trains." However, it remains unclear how spindle trains are related to the nesting phenomenon. Here, we hypothesized that spindle trains are more likely when SOs co-occur in the prefrontal and motor cortex. We conducted simultaneous neural recordings in the medial prefrontal cortex (mPFC) and primary motor cortex (M1) of male rats training on the reach-to-grasp motor task. We found that intracortically recorded M1 spindles are organized into distinct temporal clusters. Notably, the occurrence of temporally precise SOs between mPFC and M1 was a strong predictor of spindle trains. Moreover, reactivation of awake task patterns is much more persistent during spindle trains in comparison with that during isolated spindles. Together, our work suggests that the precise coupling of SOs across mPFC and M1 may be a potential driver of spindle trains and persistent reactivation of motor memory during NREM sleep.




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George Friedman Predicts World War 3 Between Turkey and Poland

Looking at the future of geopolitics, the author reveals the surprising results of his research. Read more at http://www.smithsonianmag.com/specialsections/40th-anniversary/George-Friedman-on-World-War-III.html




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An Algorithm Predicts the Images in a Dream

A learning simulation, combined with fMRI readings, is able to predict the visualizations seen by a dreamer in real time




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Ask Smithsonian: Can Animals Predict Earthquakes and Other Natural Disasters?

Our host, Eric Schulze, explains how science is tackling this puzzling question from space.




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Apple's smart display with smart home AI focus predicted for March 2025

The pivot from Apple Car set the stage for bigger investments in the smart home, and the initial products from that shift could be launching as soon as March according to a new rumor.


Apple could release an iPad-like home hub with AI and smart home features

Apple has offered smart home options since 2014 with the launch of HomeKit. Beyond Siri integrations, HomePod, and few product category additions over the years, the company's investment in the area hasn't been as strong as some of its competitors.

That could change as soon as March with the launch of a new smart display that isn't an iPad, doesn't have an App Store, and is voice-first. This device would be a precursor to the rumored display with a robotic arm that's been rumored since Apple Car was abandoned.


Rumor Score: ???? Possible


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