Miracle-dz/UniFAR-FTUs huggingface dataset:
Group I Metabotropic Glutamate Receptors and Interacting Partners: An Update

Group I metabotropic glutamate (mGlu) receptors (mGlu1/5 subtypes) are G protein-coupled receptors and are broadly expressed in the mammalian brain. These receptors play key roles in the modulation of normal glutamatergic transmission and synaptic plasticity, and abnormal mGlu1/5 signaling is linked to the pathogenesis and symptomatology of various mental and neurological disorders. Group I mGlu receptors are noticeably regulated via a mechanism involving dynamic protein–protein interactions. Several synaptic protein kinases were recently found to directly bind to the intracellular domains of mGlu1/5 receptors and phosphorylate the receptors at distinct amino acid residues. A variety of scaffolding and adaptor proteins also interact with mGlu1/5. Constitutive or activity-dependent interactions between mGlu1/5 and their interacting partners modulate trafficking, anchoring, and expression of the receptors. The mGlu1/5-associated proteins also finetune the efficacy of mGlu1/5 postreceptor signaling and mGlu1/5-mediated synaptic plasticity. This review analyzes the data from recent studies and provides an update on the biochemical and physiological properties of a set of proteins or molecules that interact with and thus regulate mGlu1/5 receptors.
Words of Suicide: Identifying Suicidal Risk in Written Communications

Suicide is a global health problem with more than 700,000 individuals dying by self-destruction each year, yet it is classified as a low base rate behavior that is difficult to prognosticate. Aiming to advance suicide prediction and prevention, we examined the potential use of machine learning and text analyses models to predict suicide risk based on written communications. Specifically, we used a dataset consisting of more than 27,000 general writings unrelated to suicide, 193 genuine suicide notes from individuals who committed suicide, and an additional 89 suicide posts shared on sub-Reddits for an in-the-wild test to examine the prediction accuracy of two machine learning models (SVM & RoBERTa) and a linguistic marker model. Our tests showed that the machine learning models performed better than the linguistic marker model when examined on the test data. However, the linguistic marker model achieved higher results in the wild, correctly classifying 88% of written communications as a "high risk of suicide" versus 56% and 70% of the machine learning models. The best in-the-wild performing model was adopted in an online suicide risk assessment tool called Edwin to honor Edwin Shneidman for his numerous contributions to the field of suicidology. Finally, discrepancies between training and real-world data, vocabulary variation across domains, and the limited number of benchmarks constitute limitations that need to be addressed in future research.
Burnout among physicians in Saudi Arabia: a brief review

Burnout refers to the state of tiredness, exhaustion, or weariness in a person with underlying root causes primarily associated with professional factors. This condition could also be described as a psychological disorder (depicted as burnout syndrome) that might occur due to stress associated with occupation-related elements. Burnout is prevalent among the professionals that specifically require dealing with public services such as educational departments, police services, and medical profession. Major risk factors associated with burnout among physicians in Saudi Arabia were also reported in multiple studies. Furthermore, sleep deprivation, negative impact on family life, medical ailment, e.g., back pain, being in residency, young age, Saudi nationality, low salary, tobacco smoking, psychotropic medication, mismanagement of patient flow, pressure or violence from patients, exhaustive paperwork, lack of cooperation from colleagues were some of the observed factors associated with burnout among physicians serving in the healthcare sector in Saudi Arabia.
A Systematic Review of Assessment Tools Measuring Cultural Competence Outcomes Relevant to Pharmacy Education

Objective. To identify and describe validated assessment tools that measure cultural competence and are relevant to pharmacy education. Methods. A systematic approach was used to identify quantitative cultural competence assessment tools relevant to pharmacy education. A systematic search of the literature was conducted using the OVID and EBSCO databases and a manual search of journals deemed likely to include tools relevant to pharmacy education. To be eligible for the review, the tools had to be developed using a study sample from the United States, have at least one peer-reviewed validated publication, be applicable to the pharmacy profession, and be published since 2010. Results. The systematic literature and manual search identified 27 tools. Twelve assessment tools met the criteria to be included in the summary and their relevancy to pharmacy education is discussed. Conclusion. A review of literature demonstrates that assessment tools vary widely and there is no one tool that can effectively assess all aspects of cultural competence in pharmacy students or the Doctor of Pharmacy curriculum. As cultural competence is a priority within the accreditation standards for pharmacy education, PharmD programs are encouraged to develop additional tools that measure observed performance.
Supplementary Product Forms: Analysis of Polish Market Trends

Purpose: The purpose of the paper is to present the results of research on the identification of supplementary product forms and analysis of the variability in all submissions of dietary supplements depending on the forms of supplementary products. Methodology: Quantitative analyses of supplementary products submitted for registration in Poland at the State Sanitary Inspectorate (SSI) in 2007-2019*. Supplementary products subject to registration include, dietary supplements, fortified foods and special-purpose foods for infants, people requiring special medical care and food supplements for daily diet. In the studied period, the SSI received 86,849 submissions of products for registration that underwent statistical analysis, i.e., comparative analysis in groups, variability in the number of all submissions depending on the form in which the supplementary products were marketed. Findings: The research allowed for the identification of the form in which supplementary products were principally marketed. Then, the products were divided into three main categories, solid (S), liquid (L) and semi-solid (SS). Research determined that 83.67% of all submissions include solid supplementary products. Practical Implications: The conducted research can be useful to both decision-makers and to consumers. The study results specify the form in which supplementary products are most often marketed and can certify the consumers’ acceptance of such a form or point to new trends. Originality/value: The paper’s original value is its scope and subject, especially the analysis of the supplementary products introduced into the Polish market depending on the product’s form. New knowledge can determine innovative supplementary product production market development trends. It can especially determine new supplementary product form development trends and/or scope of in-depth research on new technologies, production processes, maintenance or safe disposal of supplementary products and the related wastes.
Straight-path tracking control of underactuated ships using dynamic nonlinear Sliding

A straight-path tracking control algorithm was developed for underactuated ships with state constraints,actuator saturation and lateral drift.The control problem was transformed into the stabilization of a scalar zero-order-system by means of the iterative sliding mode control(ISMC) method,in which the nonlinear sliding surfaces were recursively designed base on the system's output feedback.The algorithm was integrated with incremental feedback to stabilize the ship's heading and cross-tracking error without estimates of the parametric uncertainties and disturbances induced by both of the current and the wind.Numerical simulations on the training ship "YU LONG" verify that the controller is robust to systemic variations or disturbances and is easily adjusted due to the clear meaning of the parametric functions.
Exploring Personal Development Workshops' Effect on Well-Being and Interconnectedness.

Introduction: Personal development workshops are increasingly popular. This study evaluated the relationships between the measures of well-being, interconnectedness, and extended perception in various workshops and explored which kinds of workshops and individual characteristics predicted changes in these outcomes. Materials and Methods: In a prospective, uncontrolled, within-participant design study, adult participants completed questionnaires and online tasks before and after personal development workshops. Three analyses were conducted: (1) examining the relationships between measures by using only pre-workshop measures using Spearman correlations; (2) exploring change scores pre- to post-workshop and workshop using Wilcoxon signed-rank test; (3) assessing workshop format and content, and individual characteristics as predictors of those change scores multivariate nonparametric regression. The following outcomes were collected: Well-being-Arizona Integrative Outcomes Scale, positive and negative affect, Dispositional Positive Emotions Scale-Compassion subscale, Sleep Quality Scale, Numeric Pain Rating Scale; Interconnectedness-Cloninger Self-Transcendence Scale, Inclusion of Nature in Self and Inclusion of the Other in Self; and Extended perception tasks-Intuition Jar, Quick Remote Viewing, Psychokinesis Bubble, and Time Estimation. The following potential predictor variables were collected: demographic, mental health, psychiatric and meditation history, Single General Self-Rated Health Question, Brief Five-Factor Inventory-10, and the Noetic Experience and Belief Scale. Workshop leaders also selected which format and content characteristics applied to their workshop. Results: Interconnectedness measures were significantly and positively correlated with well-being (ρ: 0.27 to 0.33), positive affect (ρ: 0.20 to 0.27), and compassion (ρ: 0.21 to 0.32), and they were negatively correlated with sleep disturbance (ρ: -0.13 to -0.16) and pain (ρ: -0.11 to -0.16). Extended perception task performance was not correlated with interconnectedness or well-being. General personal development workshops improved subjective interconnectedness, well-being, positive emotion, and compassion, and they reduced sleep disturbances, negative emotion, and pain (all p's < 0.00005). The lecture (p = 0.03), small groups (p = 0.001), pairs (p = 0.01), and discussion (p = 0.03) workshop formats were significant predictors of well-being outcomes. The workshop content categories of meditation (p = 0.0002) and technology tools (p = 0.01) were also predictive of well-being outcomes, with meditation being the most consistent predictor of positive well-being changes. Conscientiousness was the only significant individual characteristic predictor (p = 0.002), although it was associated with increases in some well-being measures and decreases in others. Conclusions: This study provides preliminary evidence for the positive relationship between the subjective sense of interconnectedness and multiple well-being measures and the beneficial effects of some personal development workshops.
Estimert glomerulær filtrasjonshastighet som mål på nyrefunksjon

Estimated glomerular filtration rate is an established, routine clinical measurement for kidney function, but the estimate has limitations and cannot be used in all clinical situations. Estimated glomerular filtration rate has a high coefficient of variation, and deviations in the patient's height, weight or muscle mass may result in an imprecise estimate. If an accurate measurement of kidney function is essential, glomerular filtration rate can be measured using an exogenous substance.
A Nonlinear Observer-Based Approach to Robust Cooperative Tracking for Heterogeneous Spacecraft Attitude Control and Formation Applications

This article proposes a nonlinear observer-based approach to address the robust cooperative tracking problem and application for heterogeneous spacecraft systems. By introducing appropriate assumptions, a weight average estimation is proposed to construct a class of distributed nonlinear observers for heterogeneous spacecraft systems with a target whose dynamics are available only to a few chasers. By synthesizing the observer dynamics among the neighbors, a novel cooperative tracking controller is developed to address nonidentical parameters both in model uncertainties and nonlinear dynamics. Then, the robust consensus tracking problem can be solved if the cooperative behaviors between the chasers and their observers can be achieved synchronically. A special case of the identical model uncertainty and nonlinear dynamics scenario is also discussed. As applications of the proposed nonlinear observer-based approaches, the controller and observer designs of heterogeneous spacecraft attitude control and formation flying systems are revisited. Numerical simulations with a nonlinear dynamic model of spacecraft attitude control and formation flying systems demonstrate the effectiveness of the proposed approaches.
De novo protein structure prediction by incremental inter-residue geometries prediction and model quality assessment using deep learning

Motivation The successful application of deep learning has promoted progress in protein model quality assessment. How to use model quality assessment to further improve the accuracy of protein structure prediction, especially not reliant on the existing templates, is helpful for unraveling the folding mechanism. Here, we investigate whether model quality assessment can be introduced into structure prediction to form a closed-loop feedback, and iteratively improve the accuracy of de novo protein structure prediction. Results In this study, we propose a de novo protein structure prediction method called RocketX. In RocketX, a feedback mechanism is constructed through the geometric constraint prediction network GeomNet, the structural simulation module, and the model quality evaluation network EmaNet. In GeomNet, the co-evolutionary features extracted from MSA that search from the sequence databases are sent to an improved residual neural network to predict the inter-residue geometric constraints. The structure model is folded based on the predicted geometric constraints. In EmaNet, the 1D and 2D features are extracted from the folded model and sent to the deep residual neural network to estimate the inter-residue distance deviation and per-residue lDDT of the model, which will be fed back to GeomNet as dynamic features to correct the geometries prediction and progressively improve model accuracy. RocketX is tested on 483 benchmark proteins and 20 FM targets of CASP14. Experimental results show that the closed-loop feedback mechanism significantly contributes to the performance of RocketX, and the prediction accuracy of RocketX outperforms that of the state-of-the-art methods trRosetta (without templates) and RaptorX. In addition, the blind test results on CAMEO show that although no template is used, the prediction accuracy of RocketX on medium and hard targets is comparable to the advanced methods that integrate templates. Availability The RocketX web server are freely available at http://zhanglab-bioinf.com/RocketX. Contact zgj@zjut.edu. cn
Torrefaction of Palm Kernel Shell and Petcoke Blends for Various Mixing Ratios and Temperatures

In the present study, torrefaction of palm kernel shell (PKS) and petcoke blends was performed for the production of solid biofuels with high energy density. The torrefaction process was performed for mixtures with various mixing ratios (by weight) from 90:10 to 60:40 (PKS:petcoke). For torrefaction under various temperatures of 250℃ to 300℃, the mixing ratio of 60:40 was used. Meanwhile, residence time and nitrogen flow rate were fixed at 30 minutes and 1 l/min, respectively. In general, the fixed carbon and ash contents increased, while the moisture and volatile matter contents decreased after torrefaction. It has been elucidated that mass yield is a dominant factor that affects the energy yield of torrefied mixtures rather than the higher heating value (HHV) ratio. Based on the energy yield and ultimate analysis, it was found that a higher amount of petcoke and higher temperature give better performance, thus causing the torrefied mixture to become very close to coals region in Van Krevelen diagram. In this case, the mixture with a mixing ratio of 60:40 torrefied under the temperature of 300℃ gives the best performance. It was also found that this mixture is thermally stable than the mixture torrefied at 250℃.
S-5 formula for leadership development

Leadership is an area of perennial interest cutting across all fields of knowledge, including health sciences. The current models of leadership emphasize the skills and techniques derived from behavioural sciences and management. S-5 Formula is a developmental model, evidenced by learning theories and anchored in ancient Indian wisdom. The leadership journey begins by Setting a high goal (Sankalpa) to achieve something big, different and useful. This journey is aided by a Self- study and reflection (Swadhyaya). It gains Synergy (Satsanga) through collaborative learning, mentoring and feedback. The next phase is Service (Seva). Finally, the leader does act of Surrender (Samarpan), giving back to the society thus becoming an instrument of change. The theoretical framework behind these components and their implications for practice have been discussed.
A Review of Unilateral Biportal Endoscopic Decompression for Degenerative Lumbar Canal Stenosis

Background The unilateral biportal endoscopic (UBE) technique provides minimally invasive decompression for degenerative lumbar canal stenosis (DLCS). With appropriate control of the hydrostatic pressure of normal saline irrigation, the surgery can be performed in a clear and magnified surgical field through 2 small surgical wounds. Methods A review of published literature in PubMed was performed to identify studies of UBE decompression for DLCS. The outcome measures include operation time, length of hospital stay, estimated blood loss, visual analog scale (VAS) scores for back and leg pain, Oswestry Disability Index (ODI), and the Macnab criteria. Results A total of 76 relevant studies were retrieved through the PubMed search. After screening, 15 studies comprising 6 case series, 6 comparative studies, and 3 randomized controlled trials were included in this review. Significant improvements in pain and neurological symptoms were obtained in all studies. In the 6 case series studies, the outcome measures were extracted from each study and summarized. The follow-up periods ranged from 8.6 to 29 months. The operation time was 72.0 min. The VAS score for leg pain was reduced from 7.8 to 1.7, and the VAS score for back pain was reduced from 5.8 to 1.7. The ODI was reduced from 63.0 to 20.7, and 87.3% of patients reported good to excellent outcomes according to the Macnab criteria. The complication rates ranged from 5.5% to 13.8%, with dural tear having the highest incidence rate. In the comparative studies and randomized controlled trials examining the UBE, microscopic, microendoscopic, and uniportal endoscopic techniques, the UBE technique showed treatment results that were comparable with the others. Compared with the microscopic technique, the UBE technique resulted in significantly less tissue trauma and quicker recovery with less wound pain, lower serum creatine kinase and C-reactive protein levels, and lower ODI in the very early postoperative period. The UBE technique also provided adequate decompression with less facet joint destruction than all the other decompression techniques. Conclusions The UBE technique is safe and effective for decompression of DLCS. Along with its efficacy in decompression, this technique is capable of preserving segmental stability. However, a long-term comparative study is required to verify this hypothesis.
A Review on Service Quality Dimensions in Higher Education Sector and Research Prospects after COVID-19 Pandemic

With the development of higher education marketization and internationalization, the importance of service quality in higher educational institutions (HEIs) has been paid more and more attention by academic circles and the industry. This article reviews the research literature on service quality in HEIs, and examines several influential measurements of service quality in HEIs. Based on the literature review, this article will also discuss the following issues: what effect will the e-learning model emerging in the post-COVID-19 era have on higher education services? What changes will happen to the dimensions of service quality in HEIs? This article summarizes the findings on service quality in higher education sector and provides an outlook on future research trends, contributing to further in-depth research in academia and reform and policy-making in industry.
Cellular and Molecular Mechanisms Implicated in the Dual Role of ROR2 in Cancer.

ROR1 and ROR2 are Wnt receptors that are critical for β-catenin-independent Wnt pathways and were have been linked to processes driving tumor progression, such as cell proliferation, survival, invasion, and therapy resistance. Both receptors have garnered interest as potential therapeutic targets since they are largely absent in adult tissue, are overexpressed in several cancers, and, as members of the receptor tyrosine kinase family, are easier to target than all other components of the pathway. Unlike ROR1 which always promotes tumorigenesis, ROR2 has a very complex role in cancer acting either to promote or inhibit tumor progression in different tumor types. In the present article, we summarize the findings on ROR2 expression in cancer patients and its impact on clinical outcome. Further, we review the biological processes and signaling pathways regulated by ROR2 that explain its dual role in cancer. Finally, we describe the ongoing strategies to target ROR2 in cancer.
Transcriptome and Proteome Analyses Reveal Stage-Speci c DNA Damage Response in Embryos of Endangered Sturgeon

Ievgeniia Gazo (  gazo@frov.jcu.cz ) University of South Bohemia in České Budějovice Ravindra Naraine Academy of Science of the Czech Republic Ievgen Lebeda University of South Bohemia in České Budějovice Aleš Tomčala University of South Bohemia in České Budějovice Mariola Dietrich Polish Academy of Sciences Roman Fraňek University of South Bohemia in České Budějovice Martin Pšenička University of South Bohemia in České Budějovice Radek Šindelka Academy of Science of the Czech Republic