Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioactive Compounds from Kefir and Their Potential Benefits on Health: A Systematic Review and Meta-Analysis

Despite evidence of health benefits from kefir administration, a systematic review with meta-analysis on bioactive compounds associated with these benefits is still absent in the literature. Kefir is fermented milk resulting from the metabolism of a complex microbiota in symbiosis. Recent researches have investigated the bioactive compounds responsible for the preventive and therapeutic effects attributed to kefir. However, differences in functional potential between industrial and artisanal kefir are still controversial. Firstly, we identified differences in the microbial composition among both types of kefir. Available evidence concerning the action of different bioactive compounds from kefir on health, both from in vitro and in vivo studies, was subsequently summarized to draw a primary conclusion of the dose and the intervention time for effect, the producer microorganisms, the precursor in the milk, and the action mechanism. Meta-analysis was performed to investigate the statistically significant differences (P < 0.05) between intervention and control and between both types of kefir for each health effect studied. In summary, the bioactive compounds more commonly reported were exopolysaccharides, including kefiran, bioactive peptides, and organic acids, especially lactic acid. Kefir bioactive compounds presented antimicrobial, anticancer, and immune-modulatory activities corroborated by the meta-analysis. However, clinical evidence is urgently needed to strengthen the practical applicability of these bioactive compounds. The mechanisms of their action were diverse, indicating that they can act by different signaling pathways. Still, industrial and artisanal kefir may differ regarding functional potential—OR of 8.56 (95% CI: 2.27–32.21, P ≤ .001)—according to the observed health effect, which can be associated with differences in the microbial composition between both types of kefir.
Media and the Rise of Right-Wing Populism: Gauging the Role of CNews in Promoting Far-Right Ideology in France

This paper reflects the concept of populism, based on an analysis of a media editorial line and the increasing populist, demagogic discourses present on mainstream media in France. It presents the concept of populism and its current problems, then offers a methodological reflection centered on the desire to emphasize the role of media on the rise of right-wing populism and far-right ideology. The aim is to study the role of media, which can promote populist communication. This study doesn’t focus on contextual factors such as the electoral success of right-wing populist parties; instead, it explores other aspects, such as media editorial line and opinion journalism, largely independent of political reality which can increase the chances of populist rhetoric being included in media coverage. Therefore, this paper offers a brief review of the communicative aspect of populism. It discusses the rise of populist rhetoric in the media in France and the role of the CNews television channel in mobilizing and promoting far-right ideologies in the French political and media landscape. The results highlight how CNews, with its far-right columnists, such as Eric Zemmour, contribute to the rise of right-wing populist rhetoric in the French media landscape; since the increase of its audience coincides with the rise of right-wing populist and far-right rhetoric in the French political spectrum.
QTL analysis of vegetative phase change in natural accessions of Arabidopsis thaliana

Shoot development in plants is divided into two phases, a vegetative phase and a reproductive phase. Vegetative growth also has two distinct juvenile and adult phases, the transition between which is termed vegetative phase change. To understand how this developmental transition is regulated in natural populations of plants, we grew a group of 70 accessions of Arabidopsis thaliana and measured the appearance of traits associated with vegetative and reproductive phase change. We found that these transitions were uncorrelated, implying they are regulated by different mechanisms. Furthermore, an analysis of accessions from Central Asia revealed that precocious changes in leaf shape poorly correlated with the timing of abaxial trichome production (an adult trait) and with variation in the level of miR156 (a key regulator of vegetative phase change). This suggests the timing of vegetative phase change is regulated by more than one mechanism. To identify the genes responsible for the precocious vegetative phenotype of these accessions, we used a set of recombinant inbred lines derived from a cross between the standard lab strain, Col-0, and one of these accessions, Shakdara. We identified eight quantitative trait loci involved in the vegetative phase change, some of which regulated different components of leaf development. All of these loci were distinct from those that regulate flowering time. These data provide the foundation for future studies to identify the loci and the regulatory networks responsible for natural variation in the timing of vegetative phase change in A. thaliana.
Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis

Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is involved in sensorimotor behavior but has not been widely studied within the context of post-stroke upper limb sensorimotor impairment. The hippocampus is vulnerable to secondary degeneration after stroke, and damage to this region could further weaken sensorimotor circuits, leading to greater chronic sensorimotor impairment. The purpose of this study was to investigate the cross-sectional association between non-lesioned hippocampal volume and upper limb sensorimotor impairment in people with chronic stroke. We hypothesized that smaller ipsilesional hippocampal volumes would be associated with worse upper-limb sensorimotor impairment. Cross-sectional T1-weighted brain MRIs were pooled from 357 participants at the chronic stage after stroke (>180 days post-stroke) compiled from 18 research cohorts worldwide in the ENIGMA Stroke Recovery Working Group (age: median = 61 years, interquartile range = 18, range = 23-93; 135 women and 222 men). Sensorimotor impairment was estimated from the Fugl-Meyer Assessment of Upper Extremity scores. Robust mixed-effects linear models were used to test associations between post-stroke sensorimotor impairment and hippocampal volumes (ipsilesional and contralesional separately; Bonferroni-corrected, p-value < 0.025), controlling for age, sex, lesion volume, and lesioned hemisphere. We also performed an exploratory analysis to test whether sex differences influence the relationship between sensorimotor impairment and hippocampal volume. Upper limb sensorimotor impairment was positively associated with ipsilesional (p = 0.005; d = 0.33) but not contralesional (p = 0.96; d = 0.01) hippocampal volume, such that impairment was worse for participants with smaller ipsilesional hippocampal volume. This association remained significant independent of lesion volume or other covariates (p = 0.001; d = 0.36). Evidence indicates an interaction between sensorimotor impairment and sex for both ipsilesional (p = 0.008; d = −0.29) and contralesional (p = 0.006; d = −0.30) hippocampal volumes, whereby women showed progressively worsening sensorimotor impairment with smaller hippocampal volumes compared to men. The present study has identified a novel association between chronic post-stroke sensorimotor impairment and ipsilesional, but not contralesional, hippocampal volume. This finding was not due to lesion size and may be stronger in women. We also provide supporting evidence that smaller hippocampal volume post-stroke is likely a consequence of ipsilesional damage, which could provide a link between vascular disease and other disorders, such as dementia.
Graph-Reinforcement-Learning-Based Task Offloading for Multiaccess Edge Computing

Network applications involve massive heterogeneous data fusion and analysis. Artificial intelligence can significantly improve the convenience and user experience, but it requires a lot of storage, bandwidth, and computing resources. Multiaccess edge computing (MEC) extends intelligence services to IoT devices through offloading approaches and joint processing, which solves the resource bottleneck. However, designing advanced collaboration technology to offload tasks to MEC servers is still challenging. Heuristic algorithms and deep reinforcement learning (DRL)-based approaches have been proposed to offload tasks and minimize application latency. However, heuristic algorithms heavily depend on accurate mathematical models for the MEC system, and DRL does not make fair use of the relationship between devices in the MEC graph. To solve this, we propose a task offloading mechanism based on graph neural network (GNN), which can directly learn on graph data with messages passing and aggregation. We propose a graph reinforcement learning-based offloading (GRLO) framework, which models MEC as an acyclic graph and the offloading policy by graph state migration. GRLO combines GNN with the actor-critic network and trains offloading decision makers without labels. To efficiently train the GRLO, we propose a method that quickly explores action space and approaches the optimal solution. The numerical results show that the GRLO has lower latency compared to baselines while having generalization ability to new environments and topologies. Moreover, we verified the effectiveness of GRLO on a prototype.
Statistical analysis of wind characteristics and wind energy potential of Port Blair, India

This study aims to find out the wind characteristics and wind energy potential of Port Blair. Besides it also testifies whether most famous Weibull distribution function is suitable or not to determine the wind characteristics and wind energy potential in a region where probability of calm wind is significant. Here Weibull distribution function is modified with adding Dirac Delta function to incorporate the calm winds. Here mean wind speed, wind power and energy densities have been calculated from the data, Weibull distribution and Weibull Dirac distribution. It is found that annual mean wind speeds obtained from data, Weibull and Weibull dirac functions are 2.40 m/s, 3.011 m/s and 2.406 m/s respectively. Similarly annual wind power densities obtained are 30.82 W/m, 33.30 W/m and 28.41 W/m respectively. And annual wind energy densities obtained to be 270.79 kWh/m/year, 291.71 kWh/m/year and 248.87 kWh/m/year respectively. This study also finds the monthly and diurnal variations of wind speed and wind speed at different heights at this location.
Clonal gametogenesis is triggered by intrinsic stimuli in the hybrid's germ cells but is dependent on sex differentiation

Abstract Interspecific hybridization may trigger the transition from sexual reproduction to asexuality, but mechanistic reasons for such a change in a hybrid's reproduction are poorly understood. Gametogenesis of many asexual hybrids involves a stage of premeiotic endoreplication (PMER), when gonial cells duplicate chromosomes and subsequent meiotic divisions involve bivalents between identical copies, leading to production of clonal gametes. Here, we investigated the triggers of PMER and whether its induction is linked to intrinsic stimuli within a hybrid's gonial cells or whether it is regulated by the surrounding gonadal tissue. We investigated gametogenesis in the Cobitis taenia hybrid complex, which involves sexually reproducing species (Cobitis elongatoides and C. taenia) as well as their hybrids, where females reproduce clonally via PMER while males are sterile. We transplanted spermatogonial stem cells (SSCs) from C. elongatoides and triploid hybrid males into embryos of sexual species and of asexual hybrid females, respectively, and observed their development in an allospecific gonadal environment. Sexual SSCs underwent regular meiosis and produced normally reduced gametes when transplanted into clonal females. On the other hand, the hybrid's SSCs lead to sterility when transplanted into sexual males but maintained their ability to undergo asexual development (PMER) and production of clonal eggs, when transplanted into sexual females. This suggests that asexual gametogenesis is under complex control when somatic gonadal tissue indirectly affects the execution of asexual development by determining the sexual differentiation of stem cells and once such cells develop to female phenotypes, hybrid germ cells trigger the PMER from their intrinsic signals. Significance Statement Although sexual reproduction is a dominant trait among all eukaryotes, many taxa have evolved the ability to reproduce asexually. While asexuality often appears to be linked to interspecific hybridization, it remains unknown how the coexistence of diverged genomes may initiate such a swap in reproduction. In our study, we transplanted germ cells between asexual hybrids and their parents. On the one hand, the ability of clonal gametogenesis occurred exclusively in hybrid germ cells, suggesting that asexual development is directly triggered by the hybrid genomic constitution of the cell. On the other hand, clonality was observed only in cells transplanted into females, suggesting that the execution of clonal development is influenced by signals from the gonadal environment and regulated by somatic factors.
Investigating Machine Learning & Natural Language Processing Techniques Applied for Predicting Depression Disorder from Online Support Forums: A Systematic Literature Review

Depression is a common mental health disorder that affects an individual’s moods, thought processes and behaviours negatively, and disrupts one’s ability to function optimally. In most cases, people with depression try to hide their symptoms and refrain from obtaining professional help due to the stigma related to mental health. The digital footprint we all leave behind, particularly in online support forums, provides a window for clinicians to observe and assess such behaviour in order to make potential mental health diagnoses. Natural language processing (NLP) and Machine learning (ML) techniques are able to bridge the existing gaps in converting language to a machine-understandable format in order to facilitate this. Our objective is to undertake a systematic review of the literature on NLP and ML approaches used for depression identification on Online Support Forums (OSF). A systematic search was performed to identify articles that examined ML and NLP techniques to identify depression disorder from OSF. Articles were selected according to the PRISMA workflow. For the purpose of the review, 29 articles were selected and analysed. From this systematic review, we further analyse which combination of features extracted from NLP and ML techniques are effective and scalable for state-of-the-art Depression Identification. We conclude by addressing some open issues that currently limit real-world implementation of such systems and point to future directions to this end.
Knowledge, Attitude, and Practice of Evidence-Based Medicine among Emergency Doctors in Kelantan, Malaysia

This study aimed to determine the prevalence of high levels of knowledge, positive attitude, and good practice on evidence-based medicine (EBM) and identify the associated factors for practice score on EBM among emergency medicine doctors in Kelantan, Malaysia. This cross-sectional study was conducted in government hospitals in Kelantan. The data were collected from 200 emergency physicians and medical officers in the emergency department using the Noor Evidence-Based Medicine Questionnaire. Simple and general linear regressions analyses using SPSS were performed. A total of 183 responded, making a response rate of 91.5%. Of them, 49.7% had a high level of knowledge, 39.9% had a positive attitude and 2.1% had good practice. Sex, race, the average number of patients seen per day, internet access in workplace, having online quick reference application, and attitude towards EBM were significantly associated with EBM practice scores. It is recommended that appropriate authorities provide emergency doctors with broader access to evidence resources. EBM skill training should be enhanced in the current medical school curriculums.
Evaluation of Patient-Oriented Medicines Supply Information on Russian Healthcare Providers’ Websites

Aims: To evaluate the Russian Federation healthcare providers’ websites compliance to legal requirements on availability of patient-oriented medicines supply information and compare the evaluation results between public and private healthcare facilities. Study Design: Cross-sectional study. Place and Duration of Study: The evaluation of compliance to legal requirements to medicines supply information on public and private healthcare providers’ websites available on the Internet was conducted in September 2021. Methodology: The study included a simple random sample of 66 websites of Russian healthcare providers containing two groups: public (n=33) and private (n=33) healthcare facilities’ websites. The compliance evaluation was performed by checking the availability of 4 medicines lists on the websites: (1) essential medicines list; (2) list of medicines for the most expensive chronic diseases to treat; (3) list of medicines that are prescribed only by shared decision of healthcare facility medical commission; (4) list of medicines that are dispensed for certain social groups with no charge or with 50% discount in outpatient care settings. Results: The difference of availability of the first list was 90.9% (95% CI 77.7%–97.4%) vs. 33.3% (95% CI 19.2%–50.3%) on public and private healthcare facilities’ website, respectively, P<. 001. The difference of that in the second list was 42.4% (95% CI 26.8%–59.3%) vs. 15.2% (95% CI 6.0%–30.1%), P<. 028. For the third no statistical significance was revealed (P>.05). For the fourth list the difference was 66.7% (95% CI 49.7%–80.8%) vs. 21.2% (95% CI 10.0%–37.2%), P<. 001. Conclusion: It is required to improve the supervision approaches for both public and private healthcare facilities for better patient-oriented medicines supply information provision. The problem may be solved by the implementation of a centralized government policy repository with regularly updated lists, requirements, and best practices.
The natural factors and anthropogenic stressors influence on Chironomidae communities of two north-African wadis

Mediterranean streams reveal high biodiversity and play a crucial role for local populations. North African wadis are less known than European streams. Hence, there is a need to explore factors influencing their communities. Chironomid assemblages of the Seybouse and El Kebir-west wadis, located in Algeria, were surveyed between July 2016 and July 2017. Among 28,045 collected larvae, 51 taxa were identified. The obtained results indicate that wadis saprobity, conductivity and pH vary seasonally. Air temperature and precipitation affect wadis differently in summer and winter. Two gradients driven by altitude define the river continuum: (1) the bottom substrate, from coarse to fine, and water quality, (2) the variety of meso-habitats from natural to anthropogenic. El Kebir-west, as a natural wadi, has unified communities throughout all its length. Communities of Seybouse vary due to the fact that this larger river is strongly influenced by human activity. Water management in Algeria should focus equally on water quality and natural habitats treatment.
Inter-organizational purchasing contracts: the effects of multi-agents in a supplying firm

Abstract We investigate how supplier performance is influenced by the behaviors (self-interested behaviors and gatekeeping actions) of a supplier’s salesperson and engineer, and how such behaviors affect a performance-based contract design to ensure the desired performance from the supplier. This article develops a incentive contract that proves how such behaviors affect supplier performance, elucidating how agents’ behaviors influence a buyer’s incentive contract form for collaboration with the supplier. Our study found that in general, the behaviors of salespeople and engineers can damage supplier performance. Their impact changes depending on some contingent factors, proposing incentive contract forms that can mitigate the negative consequences of the behaviors on supplier and buyer performance. This paper takes multiple agents’ behaviors and their behavioral disutility into consideration when developing an incentive contract.
Identifying Mucormycosis Severity in Indian COVID-19 Patients: A Nano-Based Diagnosis and the Necessity for Critical Therapeutic Intervention

The COVID-19 infection caused by the new SARS-CoV-2 virus has been linked to a broad spectrum of symptoms, from a mild cough to life-threatening pneumonia. As we learn more about this unusual COVID-19 epidemic, new issues are emerging and being reported daily. Mucormycosis, also known as zygomycosis or phycomycosis, causes severe fungal illness to individuals with a weakened immune system. It is a devastating fungal infection, and the most frequent kind is the rhino cerebral type. As a devastating second wave of COVID-19 sweeps India, doctors report several instances involving a strange illness—sometimes known as the “black fungus”—among returning and recovered COVID-19 patients. This paper analyzes the existing statistical data to address the severity of prevalence and further notes the nano-based diagnostic parameters, clinical presentations, its connection with other conditions like diabetes, hypertension, and GI disorders, and the importance of anti-fungal therapy in treating the same. Anti-fungal therapies, as well as surgical interventions, are currently used for the treatment of the disease. Proper and timely diagnosis is necessary, along with the reduction in the spread of COVID-19. From the review, it was found that timely pharmacologic interventions and early diagnosis by using a nano-based diagnostic kit can help control the disease. Additionally, this paper provides novel information about the nanotechnology approaches such as fungal detection biosensors, nucleic acids-based testing, point-of-care tests, and galactomannans detection, in the diagnosis of mucormycosis, and thereby reinforces the need for further research on the topic.