Miracle-dz/UniFAR-FTUs huggingface dataset:
A human ESC-based screen identifies a role for the translated lncRNA LINC00261 in pancreatic endocrine differentiation

Long noncoding RNAs (lncRNAs) are a heterogenous group of RNAs, which can encode small proteins. The extent to which developmentally regulated lncRNAs are translated and whether the produced microproteins are relevant for human development is unknown. Using a human embryonic stem cell (hESC)-based pancreatic differentiation system, we show that many lncRNAs in direct vicinity of lineage-determining transcription factors (TFs) are dynamically regulated, predominantly cytosolic, and highly translated. We genetically ablated ten such lncRNAs, most of them translated, and found that nine are dispensable for pancreatic endocrine cell development. However, deletion of LINC00261 diminishes insulin+ cells, in a manner independent of the nearby TF FOXA2. One-by-one disruption of each of LINC00261's open reading frames suggests that the RNA, rather than the produced microproteins, is required for endocrine development. Our work highlights extensive translation of lncRNAs during hESC pancreatic differentiation and provides a blueprint for dissection of their coding and noncoding roles.
Large‐scale comparative evaluation of user‐friendly tools for predicting variant‐induced alterations of splicing regulatory elements

Discriminating which nucleotide variants cause disease or contribute to phenotypic traits remains a major challenge in human genetics. In theory, any intragenic variant can potentially affect RNA splicing by altering splicing regulatory elements (SREs). However, these alterations are often ignored mainly because pioneer SRE predictors have proved inefficient. Here, we report the first large‐scale comparative evaluation of four user‐friendly SRE‐dedicated algorithms (QUEPASA, HEXplorer, SPANR, and HAL) tested both as standalone tools and in multiple combined ways based on two independent benchmark datasets adding up to >1,300 exonic variants studied at the messenger RNA level and mapping to 89 different disease‐causing genes. These methods display good predictive power, based on decision thresholds derived from the receiver operating characteristics curve analyses, with QUEPASA and HAL having the best accuracies either as standalone or in combination. Still, overall there was a tight race between the four predictors, suggesting that all methods may be of use. Additionally, QUEPASA and HEXplorer may be beneficial as well for predicting variant‐induced creation of pseudoexons deep within introns. Our study highlights the potential of SRE predictors as filtering tools for identifying disease‐causing candidates among the plethora of variants detected by high‐throughput DNA sequencing and provides guidance for their use in genomic medicine settings.
Anatomical Anomalies of Carotid-Vertebral Arteries in Patients with Dizziness and Impaired Hearing

Currently, Doppler ultrasound examinations are of particular importance, including con- tinuous wave Doppler and color-coded pulsed wave Doppler. Excellent images are obtained using contrast computed tomography angiography (CTA) and magnetic reso- nance angiography (MRA), which give greater understanding of blood flow in the cranial and intracranial vessels under normal conditions and in pathological situations caused by both anatomical anomalies and acquired abnormalities. Our previous studies, concerning the analysis of the frequency and types of anatomical anomalies of the cranial arteries, i.e. vertebral and carotid arteries, in patients with dizziness and impaired hearing, demonstrated that hypoplasia of the right vertebral artery was the most common anatomical anomaly occurring in 58.7% of cases, of which 51.7% were women and 6.9% men; hypoplasia of the left vertebral artery, occurring in 24.7% of the study group, of which 13.8% were women and 10.3% men; hypoplasia of the right internal carotid artery found in 3.4% of women and of the left internal carotid artery in 6.8% of cases, 3.4% in women and 3.4% in men; and hypoplasia of the right common carotid artery was reported in 3.4% of men, whereas critical stenosis of the left subclavian artery with subclavian steal syndrome was observed in 3.4% of women. Although tinnitus was the most frequent symptom occurring in those patients, in this study dizziness was most common in patients admitted to the Department for the diagnosis, possibly because they found it more disturbing.
Do Illness Perception Predict Perceived Learning Needs Among Patients Treated With Percutaneous Coronary Intervention.

BACKGROUND The number of coronary heart disease (CHD) patients treated with percutaneous coronary intervention (PCI) has increased. The illness perception (IP) of PCI recipients needs to be evaluated. Yet, little is known whether patients' IP predicts perceived learning needs among patients treated with PCI. OBJECTIVE The aim of this study was to assess patients' IP and to examine its influence on perceived learning needs post PCI. METHODS A cross-sectional design was used. A convenience sample of 208 patients who had undergone first-time PCI participated in the study. Data were collected before patients were discharged from the hospital using the Brief Illness Perception Questionnaire and the Percutaneous Coronary Intervention Learning Need Scale. RESULTS Patients were highly concerned about their illness and perceived high consequences and symptoms related to CHD. They perceived low levels of personal and treatment control over their illness. Patients reported high learning needs. Multiple linear regression showed that low perception of personal control (P < .037), treatment control (P < .041), and high perception of disease symptoms (P < .018) significantly predicted high perceived learning needs. CONCLUSION Hence, the patients' IP influences perceived learning needs, which may be included in routine clinical assessments. Tailored health education programs are needed for patients treated with PCI; such a program should target patients who perceived low levels of personal and treatment control over illness and have a high perception of symptoms.
Markov Modeling in Reliability

We present an overview of evaluating the reliability of the complex systems with Markov modeling. In this article, the definition of reliability and the description of basic reliability models are given. Markov models are discussed in detail and illustrations are provided to explain the technique of Markov modeling. Keywords: reliability; Markov chain; distribution function; Laplace transforms
Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood

Abstract Background Visual and auditory signs of patient functioning have long been used for clinical diagnosis, treatment selection, and prognosis. Direct measurement and quantification of these signals can aim to improve the consistency, sensitivity, and scalability of clinical assessment. Currently, we investigate if machine learning-based computer vision (CV), semantic, and acoustic analysis can capture clinical features from free speech responses to a brief interview 1 month post-trauma that accurately classify major depressive disorder (MDD) and posttraumatic stress disorder (PTSD). Methods N = 81 patients admitted to an emergency department (ED) of a Level-1 Trauma Unit following a life-threatening traumatic event participated in an open-ended qualitative interview with a para-professional about their experience 1 month following admission. A deep neural network was utilized to extract facial features of emotion and their intensity, movement parameters, speech prosody, and natural language content. These features were utilized as inputs to classify PTSD and MDD cross-sectionally. Results Both video- and audio-based markers contributed to good discriminatory classification accuracy. The algorithm discriminates PTSD status at 1 month after ED admission with an AUC of 0.90 (weighted average precision = 0.83, recall = 0.84, and f1-score = 0.83) as well as depression status at 1 month after ED admission with an AUC of 0.86 (weighted average precision = 0.83, recall = 0.82, and f1-score = 0.82). Conclusions Direct clinical observation during post-trauma free speech using deep learning identifies digital markers that can be utilized to classify MDD and PTSD status.
The role of the MTG in negative emotional processing in young adults with autistic traits: a fMRI task study

Individuals with autistic traits are those within the normal population who demonstrate social, communication, and cognitive impairments but who do not meet the clinical threshold for autism spectrum disorder (ASD). ASD is a pervasive neurodevelopmental disorder associated with deficits in high-level cognitive functions such as negative emotion processing and social cognitive processing, and people with autistic traits also have these impairments. Few previous studies have explored negative emotion processing in people with autistic traits using task-based functional magnetic resonance imaging (fMRI). In this study, we focused on the behaviors of a large sample (N=104) of Chinese individuals with different levels of autistic traits, who we tested using a popular questionnaire called the autism spectrum quotient (AQ). We then applied task fMRI to determine negative emotion processing and social cognition associated with differences in brain activation and functional connectivity. The results mainly showed significantly positive activation in the right middle temporal gyrus (MTG), and the right hippocampus gyrus (HG) in multiple regression analysis. More importantly, mediation analysis showed that the right MTG suppresses the relationship between AQ (total) score and negative emotional processing, showing that a higher autistic trait score in individuals leads to a smaller difference between the rating of negative images and the neutral images. Furthermore, generalized psychophysiological interaction analyses (gPPI) analysis also suggested that the right MTG shows significant functional connectivity (FC) with the left parahippocampal gyrus (PHG), suggesting that individuals with autistic traits have high level of spontaneous negative emotion. According to these findings, we assumed that the MTG might have a specific effect on processing negative emotion in individuals with autistic traits related to weaker to social emotion ability. The emotion perception mechanisms in the MTG region may be affected by atypical negative emotion processing in other brain regions such as HG and PHG, during a negative emotion processing task with socially emotion-relevant information in individuals with autistic traits.
Dynamic reorganization of microfilaments and microtubules is necessary for the expression of non‐host resistance in barley coleoptile cells

Summary To show the involvement of microfilaments and microtubules in non-host resistance of barley, partially dissected coleoptiles which had been inoculated with a non-pathogen, Erysiphe pisi, were treated with several actin and tubulin inhibitors. If the coleoptiles were not treated with any of the inhibitors, the non-pathogen always failed to penetrate the coleoptile cells. However, when coleoptiles were treated with actin or tubulin polymerization or depolymerization inhibitors, the non-pathogen was able to penetrate successfully and to form haustoria in coleoptile cells of a non-host plant, barley. Actin polymerization inhibitors, cytochalasins, were more effective in causing an increase in penetration efficiency of E. pisi than tubulin inhibitors. The effects of cytochalasins depended on the kind of cytochalasin; the strength of the actin depolymerizing activity correlated significantly with the efficiency of increasing the penetration of the non-pathogen. When both actin and tubulin inhibitors were added simultaneously, the polarization of defense-related responses, such as massive cytoplasmic aggregation, deposition of papillae and accumulation of autofluorescent compounds, at fungal penetration sites was suppressed. Actin inhibitors did not affect arrangement and stability of microtubules and vice versa, and a double treatment of coleoptile cells with both microfilament and microtubule inhibitors showed an additive effect in increasing the penetration efficiency of E. pisi. Furthermore, cytochalasin A treatment allowed other non-pathogens, Colletotrichum lagenarium and Alternaria alternata, to penetrate successfully into the non-host barley cells. These results strongly suggest that microfilaments and microtubules might play important roles in the expression of non-host resistance of barley.
Master’s Programs in Patient Safety and Health Care Quality Worldwide

Objectives As we approach the 20th anniversary of the Institute of Medicine’s report To Err Is Human: Building a Safer Health System, it is important to assess the progress we have made with respect to patient safety thus far. This study reviews all the existing master’s-level degree programs worldwide and assesses them to determine trends and disagreements. Methods Web-based searches were performed using phrases such as “masters,” “education,” “patient safety,” and “healthcare quality. ” Communication with programs representatives was used to obtain pertinent data not represented on the programs’ webpages. Results Twenty-five programs exist worldwide, 17 of which within North America. These programs are predominantly taught in a part-time format, with many providing an online setting for learning and requiring various forms of scholarship. Conclusions Programs varied widely in credit hour structure and duration, as well as primary competencies. This highlights the need for the development of program standards to ensure the quality of such programs, as have been developed in other professional fields. Information pertaining to these programs including similarities, differences, trends, and characteristics is detailed in this section. The existence and development of these programs are paramount to future progression in health care, to prevent future errors by studying previous ones, thus improving health care.
Effects of marketing chicken meat as a whole or cut up on enterprise income

As research material, 521 broiler carcasses, 308 of which were cut up manually and 213 of which were cut up with machine, were used. The carcasses cut up were divided into 6 groups based on their weights. In both methods, the whole weights of the carcasses were determined first and recorded. After that, they were divided into 3 parts as wings, legs, and breast. It was found that the process of cutting up takes 12 s by hand and 50.5 s with machine. As a result of cutting up, net income increase was determined as 13.75% for manual cutting up and 11.37% for mechanical cutting up.
A Fault-Tolerant Ethernet for Hard Real-Time Adaptive Systems

Distributed embedded systems (DESs) that perform critical tasks in unpredictable environments must be reliable, hard real-time, and adaptive. Since a DES comprises nodes that rely on a network, the network must provide adequate support: it must be reliable, convey messages on time, and meet new real-time requirements as the nodes adapt. Ethernet is ill-suited for such hard real-time adaptive systems, but it can be made suitable. The flexible time-triggered (FTT) paradigm already supports hard real-time message exchanges and the necessary flexibility to meet evolving hard real-time requirements, but its Ethernet implementations had reliability limitations. To address these, we designed FTT replicated star for Ethernet (FTTRS), a communication subsystem that tolerates permanent and transient faults, even if they occur simultaneously, while keeping the paradigm's key features: support for both the timely exchange of periodic and sporadic real-time messages, and support for updating the real-time parameters of these messages at runtime. In this paper, we present FTTRS, the first Ethernet-based communication subsystem specifically designed for highly reliable hard real-time adaptive DESs.
Transmission mode associated with coronavirus disease 2019: a review.

OBJECTIVE In late December 2019 in Wuhan (China), Health Commission reported a cluster of pneumonia cases of unknown etiology, subsequently isolated and named Severe Acute Respiratory Syndrome (SARS) Coronavirus 2 (CoV-2). In this review, the main transmission routes and causes of mortality associated with COVID-19 were investigated. MATERIAL AND METHODS A review was carried out to recognize relevant research available until 10 April 2020. RESULTS The main transmission routes of COVID-19 have been the following: animal to human and human-to-human pathways, namely: respiratory transmission; oro-fecal transmission; air, surface-human transmission. Transmission from asymptomatic persons, healthcare transmission, and interfamily transmission have been well documented. CONCLUSIONS SARS-CoV-2 possesses powerful pathogenicity and transmissibility. It is presumed to spread primarily via respiratory droplets and close contact. The most probable transmission pathway is definitely the inter-human one. Asymptomatic patients seem to play a crucial role in spreading the infection. Because of COVID-19 infection pandemic potential, careful surveillance is essential to monitor its future host adaptation, viral evolution, infectivity, transmissibility, and pathogenicity in order to gain an effective vaccine and flock immunity and reduce mortality as soon and as much as it is possible.
Strategies for Alcohol Screening, Brief Intervention, and Referral to Treatment Sustainability in the Emergency Department

Alcohol misuse remains the fourth leading cause of preventable death in the United States, with nearly 90,000 deaths occurring annually as a consequence of alcohol misuse. Screening, brief intervention, and referral to treatment (SBIRT) is an evidence-based strategy that includes initial screening using a valid tool, determining the need for intervention, a brief motivational interview, and referral to treatment leading to follow-up care when necessary. Although an abundance of evidence-based practices now exist as a guideline for quality patient care, an inconsistency persists between protocols supported by research and those actually integrated into daily clinical practice. Currently, there is little in the literature examining the sustainability of SBIRT programs in emergency departments. The authors examine challenges to SBIRT implementation in the emergency department and propose a number of strategies to ensure continued sustainability of this evidence-based practice.
Thought based Control of Robotic Arm Via Wireless

-Artificial limbs and exoskeletons have been widely used in a variety of applications, from military to medicine. The Defence Advanced Research Projects Agency (DARPA) primarily focuses on developing exoskeletons to aid ground soldiers in both physical performance skills and survivability. Robotic arms have been used to assist personalities who have lost the ability to perform everyday activities such as walking because of grievous medical injuries.The main objective of this project is to control a Robotic arm with the power of one's brain. The Brainwave regulator system will use brain waves to initiate, stop and change whereabouts of robotic arm. The main component of the control system is the Emotiv EPOC sensor, which detects the brain functions like thoughts. With the advancements in technology and healthcare facilities, the number of senior citizens and elderly who find it difficult to walk are benefitted. Hence there is a need for designing a robotic arm that is user friendly and this involves fewer complexities. The arm can also be used by the physically challenged who depend on others for physical movements that are challenging. Rehabilitation centres at hospitals can make use of this robotic arm.In this project we acquire the signal using the emotiv epoc. The acquired signals are processed using the LabVIEW environment. The various thought based signals are obtained, based on which the arm is activated. Key Word —BCI, EEG, Emotiv epoc, Robotic arm
Long Range SigFox Communication Protocol Scalability Analysis Under Large-Scale, High-Density Conditions

In recent years, the IoT concept is more and more powerful, having set the goal of integrating billions of devices to the Internet. Thus, from this perspective, the interest allocated to low-power wireless networks of sensors is higher than ever. In this paper, the SigFox scalability is analyzed from the IoT concept point of view. In the scientific research, there are a series of papers which tackle the SigFox issues, oftentimes at a comparative study level, without evaluating the performance level of the communication protocol. This paper comes to fill this gap by creating a realistic SigFox communication model. Moreover, a developed and tested generator of SigFox traffic has been implemented, using SDRs. This allows the possibility of evaluating the performance level of WSN networks, of a large-scale high-density-type. Both of the suggested instruments represent the novelty of this paper. The obtained results show that the maximum number of sensors that can transmit data at the same time, using the proposed scenarios, is of approximately 100, in order to obtain a high level of performance when the number of available channels is 360. If we are to increase the number of sensors, an avalanche effect ensues which triggers the sharp decrease of the performance of the SigFox network. At the end of this work, a series of solutions are being suggested with the main purpose of increasing the performance level of large-scale, high-density SigFox networks.
Differentiation and Evolution of Sex Change in Fishes

production have recently been challenged by findings on adult sex change in fishes. The sex of vertebrate individuals has generally been thought to be determined by genetically controlled factors, interacting in some cases such as turtles with the external environment early in development. The ability of some adult fish to change sex raises the question of how plasticity in sex determination can be maintained well into adult life. In all vertebrates, reproductive function is controlled by the combined action of the hypothalamus, the pituitary, and the gonads. Complex feedback relationships within this system usually produce either consistently male or consistently female reproductive performance. How can the operation of this system in sex-changing fish produce female function at one moment and male function later, or generate both functions simultaneously in synchronous hermaphrodites? Evolutionary approaches to sex allocation have had to be redefined and generalized (Charnov 1982) to examine the relative proportion of a sexchanging organism's life and energetic investment devoted to each sex. Vertebrate sexual reproduction requires a proximity between the sexes that is generally achieved by having a
Salivary and serum cathelicidin LL‐37 levels in subjects with rheumatoid arthritis and chronic periodontitis

Rheumatoid arthritis (RA) is associated with chronic periodontitis (CP) due to shared risk factors, immuno‐genetics and tissue destruction pathways. Human cathelicidin LL‐37 has been suggested as a possible mechanistic link for these diseases. This study investigated the levels of salivary and serum LL‐37 in subjects with RA and CP and their correlation with disease parameters.