Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10A: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Thermometer

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10F: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Pulse oximeter

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10E: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Weighing scales

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10D: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Glucose meter

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10G: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Continuous glucose monitoring

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10: Transcoding for Bluetooth Low Energy: Personal Health Gateway - General requirements

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10G: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Continuous glucose monitoring

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10F: Transcoding for Bluetooth Low Energy: Personal Health Gateway - Pulse oximeter

Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 10: Transcoding for Bluetooth Low Energy: Personal Health Gateway - General requirements

HSTP-MCTA - Media coding toolbox for IPTV: Audio codecs

HSTP-MCTB - Media coding toolbox for IPTV: Audio and video codecs

HSTP-MCTB - Media coding toolbox for IPTV: Audio and video codecs

HSTP-VID-WPOM - Working practices using objective metrics for evaluation of video coding efficiency experiments

TR.NCDP - Session-layer network coding protocol for multicast data transmission

Information technology - ASN.1 encoding rules: Specification of JavaScript Object Notation Encoding Rules (JER)

Software tools for speech and audio coding standardization

Podcast - Decoding The Future Of AI Regulation And Frontier Models  Mondaq News Alerts

Production downtime and unforeseen costs due to faulty marking systems posed significant challenges for Arizona's largest brewery, Four Peaks. Frequent printhead clogs severely impacted production efficiency. The solution came with the switch to LEIBINGER's printing technology.

Location: Sciences Library Library- QH506.M45 v.1402

Compartmentalized protein expression in the spider silk gland provides clues to spinning more sustainable materials. 

Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac 12th November 2024 There’s a whole lot of buzz around the new Qwen2.5-Coder Series of open source (Apache 2.0 licensed) LLM releases from Alibaba’s Qwen research team. On first impression it looks like the buzz is well…

Coding for #AI and #machinelearning – online course/workshop We are exploring a new way to learning how to code for AI and Machine Learning by applying ideas of  deliberate practise Starting Oct 2018 – the workshop has limited places Please contact info@futuretext.com if you want to sign up for our online workshop (300 USD)   [...]

Certain tables that are created in SAS Scalable Performance Data (SPD) Server might not be displayed correctly by SAS Federation Server Manager. Tables that have Latin5 characters in column names encounter this

Gijs Joost Brouwer
Nov 4, 2009; 29:13992-14003
BehavioralSystemsCognitive

Neural decoding is a tool for understanding how activities from a population of neurons inside the brain relate to the outside world and for engineering applications such as brain–machine interfaces. However, neural decoding studies mainly focused on different decoding algorithms rather than different neuron types which could use different coding strategies. In this study, we used two-photon calcium imaging to assess three auditory spatial decoders (space map, opponent channel, and population pattern) in excitatory and inhibitory neurons in the dorsal inferior colliculus of male and female mice. Our findings revealed a clustering of excitatory neurons that prefer similar interaural level difference (ILD), the primary spatial cues in mice, while inhibitory neurons showed random local ILD organization. We found that inhibitory neurons displayed lower decoding variability under the opponent channel decoder, while excitatory neurons achieved higher decoding accuracy under the space map and population pattern decoders. Further analysis revealed that the inhibitory neurons’ preference for ILD off the midline and the excitatory neurons’ heterogeneous ILD tuning account for their decoding differences. Additionally, we discovered a sharper ILD tuning in the inhibitory neurons. Our computational model, linking this to increased presynaptic inhibitory inputs, was corroborated using monaural and binaural stimuli. Overall, this study provides experimental and computational insight into how excitatory and inhibitory neurons uniquely contribute to the coding of sound locations.

Harmonics are an integral part of music, speech, and vocalizations of animals. Since the rest of the auditory environment is primarily made up of nonharmonic sounds, the auditory system needs to perceptually separate the above two kinds of sounds. In mice, harmonics, generally with two-tone components (two-tone harmonic complexes, TTHCs), form an important component of vocal communication. Communication by pups during isolation from the mother and by adult males during courtship elicits typical behaviors in female mice—dams and adult courting females, respectively. Our study shows that the processing of TTHC is specialized in mice providing neural basis for perceptual differences between tones and TTHCs and also nonharmonic sounds. Investigation of responses in the primary auditory cortex (Au1) from in vivo extracellular recordings and two-photon Ca²⁺ imaging of excitatory and inhibitory neurons to TTHCs exhibit enhancement, suppression, or no-effect with respect to tones. Irrespective of neuron type, harmonic enhancement is maximized, and suppression is minimized when the fundamental frequencies (F₀) match the neuron's best fundamental frequency (BF₀). Sex-specific processing of TTHC is evident from differences in the distributions of neurons’ best frequency (BF) and best fundamental frequency (BF₀) in single units, differences in harmonic suppressed cases re-BF₀, independent of neuron types, and from pairwise noise correlations among excitatory and parvalbumin inhibitory interneurons. Furthermore, TTHCs elicit a higher response compared with two-tone nonharmonics in females, but not in males. Thus, our study shows specialized neural processing of TTHCs over tones and nonharmonics, highlighting local network specialization among different neuronal types.

The CIA burglar who went rogue: http://j.mp/UpJtCJ Using the Enigma and the Sigaba, world powers encrypted their messages in hopes of catching their opponents by surprise.

Mosquitoes take blood meals from a diverse range of host animals and their host associations vary by species. Characterizing these associations is an important element of the transmission dynamics of mosquito-vectored pathogens. To characterize mosquito host associations, various molecular techniques have been developed, which are collectively referred to as blood meal analysis. DNA barcoding has diverse biological applications and is well-suited to mosquito blood meal analysis. The standard DNA barcoding marker for animals is a 5' fragment of the cytochrome c oxidase I (COI) gene. A major advantage of this marker is its taxonomic coverage in DNA sequence reference databases, making it feasible to identify a wider range of mosquito host species than with any other gene. However, the COI gene contains high sequence variation at potential priming sites between vertebrate orders. Coupled with the need for primer sequences to be mismatched with mosquito priming sites so that annealing to mosquito DNA is inhibited, it can be difficult to design primers suitable for blood meal analysis applications. Several primers are available that perform well in mosquito blood meal analysis, annealing to priming sites for most vertebrate host taxa, but not to those of mosquitoes. Because priming site sequence variation among vertebrate taxa can cause amplification to fail, a hierarchical approach to DNA barcoding-based blood meal analysis can be applied. In such an approach, no single primer set is expected to be effective for 100% of potential host species. If amplification fails in the initial reaction, a subsequent reaction is attempted with primers that anneal to different priming sites, and so on, until amplification is successful.

Enhance your website's visibility in search engine results and attract more organic visitors by integrating digital public relations into your overall marketing strategy.

Hi,

I'm searching for a way to get a quick overview of too low cpk-values after a montecarlo sim. The non-MC results have the spec and thus the easy/understandable red/green/(yellow) colorcoding, but for MC sims I don't get a highlight for high variations inside the limits.

Is this possible (besides copying each expression into avg()+3*std()) and ..-..)?

It would be really handy to scan through finished sims...

(My final application is then to export the table for my reports and documentation...)

Regards,

leo

Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of sequence variation on gene expression. Reading out molecular phenotypes with sequencing enables interrogating the impact of sequence variation beyond genome scale. Machine learning models integrate and codify information learned from MPRAs and enable generalization by predicting sequences outside the training data set. Models can provide a quantitative understanding of cis-regulatory codes controlling gene expression, enable variant stratification, and guide the design of synthetic regulatory elements for applications from synthetic biology to mRNA and gene therapy. This review focuses on cis-regulatory MPRAs, particularly those that interrogate cotranscriptional and post-transcriptional processes: alternative splicing, cleavage and polyadenylation, translation, and mRNA decay.

Vault RNAs (vtRNAs) are evolutionarily conserved small noncoding RNAs transcribed by RNA polymerase III. Vault RNAs were initially described as components of the vault particle, but have since been assigned multiple vault-independent functions, including regulation of PKR activity, apoptosis, autophagy, lysosome biogenesis, and viral particle trafficking. The full-length transcript has also been described as a noncanonical source of miRNAs, which are processed in a DICER-dependent manner. As central molecules in vault-dependent and independent processes, vtRNAs have been attributed numerous biological roles, including regulation of cell proliferation and survival, response to viral infections, drug resistance, and animal development. Yet, their impact to mammalian physiology remains largely unexplored. To study vault RNAs in vivo, we generated a mouse line with a conditional Vaultrc5 loss-of-function allele. Because Vaultrc5 is the sole murine vtRNA, this allele enables the characterization of the physiological requirements of this conserved class of small regulatory RNAs in mammals. Using this strain, we show that mice constitutively null for Vaultrc5 are viable and histologically normal but have a slight reduction in platelet counts, pointing to a potential role for vtRNAs in hematopoiesis. This work paves the way for further in vivo characterizations of this abundant but mysterious RNA molecule. Specifically, it enables the study of the biological consequences of constitutive or lineage-specific Vaultrc5 deletion and of the physiological requirements for an intact Vaultrc5 during normal hematopoiesis or in response to cellular stresses such as oncogene expression, viral infection, or drug treatment.

Extract

In cystic fibrosis (CF), Pseudomonas aeruginosa acquisition represents a turning point in disease progression. The presence of chronic P. aeruginosa infection is associated with worsening lung function and increased risk of earlier death, whereas treatment substantially improves lung function and survival [1, 2]. Efforts to diagnose and eradicate early P. aeruginosa provide lasting benefits for children with CF [3, 4]. However, the timing of infection varies considerably between individuals with CF, treatment centres [5, 6], and different birth cohorts of people with the disease [7, 8].

Hepatocyte nuclear factor 4 alpha antisense 1 (HNF4A-AS1) is a long noncoding RNA (lncRNA) gene physically located next to the transcription factor HNF4A gene in the human genome. Its transcription products have been reported to inhibit the progression of hepatocellular carcinoma (HCC) and negatively regulate the expression of cytochrome P450s (CYPs), including CYP1A2, 2B6, 2C9, 2C19, 2E1, and 3A4. By altering CYP expression, lncRNA HNF4A-AS1 also contributes to the susceptibility of drug-induced liver injury. Thus, HNF4A-AS1 lncRNA is a promising target for controlling HCC and modulating drug metabolism. However, HNF4A-AS1 has four annotated alternative transcripts in the human genome browsers, and it is unclear which transcripts the small interfering RNAs or small hairpin RNAs used in the previous studies are silenced and which transcripts should be used as the target. In this study, four annotated and two newly identified transcripts were confirmed. These six transcripts showed different expression levels in different liver disease conditions, including metabolic dysfunction-associated steatotic liver disease, alcohol-associated liver disease, and obesity. The expression patterns of all HNF4A-AS1 transcripts were further investigated in liver cell growth from human embryonic stem cells to matured hepatocyte-like cells, HepaRG differentiation, and exposure to rifampicin treatment. Several HNF4A-AS1 transcripts highly displayed correlations with these situations. In addition, some of the HNF4A-AS1 transcripts also showed a strong correlation with CYP3A4 during HepaRG maturation and rifampicin exposure. Our findings provide valuable insights into the specific roles of HNF4A-AS1 transcripts, paving the way for more targeted therapeutic strategies for liver diseases and drug metabolism.

An Epic Summer Adventure Awaits

West and HealthPrize are collaborating to provide an end to end connected health solution for pharmaceutical companies and the patients they serve.

Lucy Letby is a British nurse who was arrested on suspicion of murdering eight babies and attempting to murder ten others while working at the Countess of Chester Hospital in England.

You may be familiar with the gut microbiome's impact on overall health. Surprisingly, a similar principle applies to the semen microbiome, which may significantly

Sitting in Athens during the first COVID-19 lockdown, entrepreneur Rania Lamprou watched online e-commerce exploding because of social distancing. But merchants still struggled with low conversion rates because their checkout processes were complicated, and they had to integrate multiple providers for payments, shipping, and loyalty programs. “I knew there had to be a better way […]

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In April 2024, Meta AI was upgraded with the new state-of-the-art Llama 3 AI model, which is integrated into the search boxes at the top of WhatsApp, Instagram, Facebook, and Messenger. Now, the social media conglomerate has announced a few new

Shah Rukh Khan, well-known for his elegant yet approachable style, makes a statement with each presentation by fusing traditional elegance with contemporary elements. The Bollywood king's penchant for timeless appeal with a contemporary twist characterizes his ageless sense of style. He

Sourcegraph's Cody AI assistant, integrated with Google's Gemini 1.5 Flash, can evaluate the advantages of using long-context windows in AI models for code generation and understanding.

Decoding Social Media’s Role in Taliban 2.0 and its Implications for Afghan Youth Decoding Social Media’s Role in Taliban 2.0 and its Implications for Afghan Youth

Chris Piech, professor of computer science at Stanford University, answers the internet's burning questions about coding. Do you need to know math to be good at coding? How many computer languages are there? Are programming and coding the same thing? How do you code A.I.? What is the meaning of the "404" error? Chris answers all these questions and much more!

Is there still any value in specializing in front-of-the-frontend dev? Would you ever use the dialog element for a mobile navigation? Why did CodePen decide to use Go for its GraphQL server?

A look at the smart strategies that have taken the Chinese ‘internet company’ shooting to the top