Miracle-dz/UniFAR-FTUs huggingface dataset:
Mécanismes impliqués dans l'atrophie et la récupération musculaire après immobilisation chez le rat : rôle des altérations de la matrice extracellulaire

Le muscle squelettique est le reservoir principal d’acides amines libres de l’organisme. Ainsi, l’atrophie musculaire induite par l’immobilisation peut entrainer un affaiblissement et un allongement des periodes de recuperation generant des couts de sante publique eleves. Une aggravation de l’atrophie caracterise de facon surprenante le muscle tibialis anterior (TA) apres le deplâtrage, retardant la recuperation. Mon objectif a ete de comprendre les mecanismes a l’origine de l’aggravation de l’atrophie du TA pendant les phases precoces de recuperation en etudiant i) la structure et le phenotype des muscles, ii) la composition de la matrice extracellulaire (MEC), iii) la proteolyse et l’apoptose, et iv) les processus de signalisation via les integrines. Des rats ont ete soumis a une immobilisation par plâtrage pendant 8 jours d’une des deux pattes arriere, l’autre servant de temoin, et places en recuperation pendant 10 jours. L’aggravation de l’atrophie du TA apparait des deplâtrage, correlee avec i) une baisse de l’aire des fibres associee a leur deformation, ii) une redistribution des isoformes des chaines lourdes de myosines, iii) une augmentation de l’apoptose localisee dans le tissu conjonctif, iv) un epaississement de l’endomysium pendant la remobilisation, v) des adaptations au niveau des processus de remodelage des collagenes, et vi) une activation prononcee et persistante du systeme proteolytique ubiquitine-proteasome (UPS) et de l’apoptosome. Nous montrons egalement une elevation des niveaux ARNm dans le TA remobilise vii) de la tenascine-C et de Sparc des le deplâtrage, et viii) de marqueurs de l’autophagie a partir du moment ou l’atrophie se stabilise. Enfin, nous montrons egalement une elevation des ARNm dans le TA immobilise ix) des facteurs myogeniques, et x) des integrines membranaires et de leurs partenaires pendant l’immobilisation et apres le deplâtrage. En conclusion, mon travail de these a permis de montrer que l'aggravation de l’atrophie du TA est precoce, associee a un remodelage important de la structure et de la composition de la MEC et du phenotype des fibres musculaires, et pourrait resulter de l’augmentation persistante et prononcee de la voie UPS et de l’apoptose. Ce travail suggere que des modifications au niveau des molecules matricielles pendant la remobilisation pourraient influencer la signalisation dependante des integrines et la regeneration musculaire.
Development of Yttrium Hydride Moderator for the Transformational Challenge Reactor

Hydrogen is an outstanding moderator for neutrons of less than a few MeV of kinetic energies in nuclear systems by reason of its substantial equivalence in mass to the neutron, its low neutron absorption cross section, and its acceptably high neutron scattering cross section. Metal hydrides have been perceived as an efficient, low-risk option for high-density hydrogen storage since the late 1970s [1]. Transition metals are known to absorb large quantities of hydrogen to form metal-hydrogen solid solution at low hydrogen content and the hydride compounds at higher hydrogen content. The atomic density of hydrogen in many of these materials is far greater than in liquid hydrogen itself. Metal hydrides are particularly well suited to thermal reactor system in which core weight and volume need to be minimized, where they serve as a constituent in fuels and in moderator and shield materials. Zirconium hydride (ZrHx) and yttrium hydride (YHx) are two most promising moderator materials in terms of the moderating ratio (the ratio of the macroscopic slowing-down power to the macroscopic cross section for neutron absorption). ZrHx has been frequently used as a high-performance moderating material in advanced reactors. Examples include the Systems Nuclear Auxiliary Power (SNAP) Program [2]; Training, Research, Isotopes, General Atomic (TRIGA) research reactors [3]; and nuclear thermal propulsion reactor designs [4]. Large, hexagonal-cross-section rods of clad YHx each with a central axial hole for a fuel element and coolant channel were moderator elements in the gas-cooled Aircraft Nuclear Propulsion reactor developed by General Electric [5]. Following several decades of hiatus in constructing advanced reactors, U.S. DOE recently launched a plan to build and operate an additively manufactured microreactor at Oak Ridge National Laboratory (ORNL), the Transformational Challenge Reactor (TCR), to demonstrate a faster, more affordable approach to advanced nuclear energy [6]. YHx was selected as the leading moderator material for this reactor [7]. Therefore, there is a strong need for thermally and chemically stable massive metal hydrides for use in shield, reflector, moderator, and moderator-fuel in nuclear reactor components.
Arts-based methodologies to explore Asian-Canadian youth identities in the Greater Toronto Area: Sharing some implementation experiences from the field

Cultural identity is a complex, fluid and context bound concept. Cultural identity is informed by immigrant and second-generation youths’ experiences of adaptation and integration. Cultural identity has also been linked to youth mental health and wellbeing. Research recognizes the need to develop research tools to better capture and understand youths’ lived experiences with their identity and integration in multicultural settings. We present preliminary research findings from our community-based project that applied arts-based methodologies to explore Asian-Canadian youth identities in the Greater Toronto Area in Canada. Inclusion criteria were (i) youth between the ages of 16-29 and (ii) who self-identify as Asian or Asian-Canadian. We organized two workshops with youth participants. In workshop 1 we applied visual arts: Self-Portrait and a Relational Map. In workshop 2 we applied drama (Readers’ Theatre). Youth feedback highlighted the effectiveness of arts-based methodologies in (i) helping youth to discuss their lived experiences without feeling like they were under evaluation, (ii) providing a universal way of communicating their experiences and, (iii) allowing youth to think of issues that participants had not previously reflected on. We also shared some implementation experiences. This pilot study informed implementation strategies for a current larger project that has the objective of evaluating the effectiveness of artsbased methodologies to explore Asian-Canadian youth identities.
Examining the relationship between students’ motivation and critical thinking skills in learning torque and static equilibrium.

This study designed to determine the motivation components that most motivated students in learning torque and static equilibrium and the relationship of the motivation with students’ critical thinking skills on Torque and Static Equilibrium subject. The research was conduct in Senior High Scholl Laboratory State University of Malang. This study used correlational research design and using the Physics Motivation Questionnaire II (PMQ II) and Torque and Static Equilibrium Critical Thinking test as Instrument. The analysis showed that students have a weak motivation level in learning torque and statistic equilibrium. Grade motivation found to be the most motivating for students. The least motivated for students is Career Motivation. Researcher found that critical thinking skills correlate significantly with intrinsic motivation, grade motivation, and self-efficacy, but the relationship between critical thinking skills with self-determination and career motivation were not significant. However, the overall motivation has a significant correlation with students’ critical thinking skills.
Maturity Structure of Banking Transactions and Its Role in Predicting Negative Net Worth of Banks

In this paper, we perform a microeconomic analysis of positive and negative imbalances in the maturity structure of Russian banks’ transactions. In particular, using Heckman selection models at the cross-section of Russian banks, we test the ability of such imbalances to predict the probability of the detection of banks’ negative net worth and its expected magnitude in advance (three months before negative worth detection). The estimation results show that, first, certain indicators of imbalances do offer ‘value added’ in predicting ‘holes’ in banks’ capital: taking into account these imbalances in banks’ short- and medium-term transactions with households and short-term transactions with enterprises improves the quality of out-ofsample forecasts. Second, the very division into positive and negative imbalances makes sense: the effects are in many cases found to be opposite with respect to the size and likelihood of negative net worth detection at banks. Third, a separate analysis of banking transactions with households and those with businesses is also of great importance: the effect of imbalances in transactions similar in maturity structure but with different types of economic agents is in many cases opposite in sign. The results may be useful for the Bank of Russia in identifying potentially fragile banks as part of its prudential policy.
The puzzle of protein location in plant proteomics

Organelle proteomics allows the characterization of complex proteomes to understand the protein networks which regulate growth and development, as well as adaptation and evolution. Purification of organelles is of paramount importance and diverse protocols are published. Some organelles such as chloroplasts, mitochondria, and the nucleus are surrounded by membranes which facilitate their purification. Others have membranes easily disrupted (vacuoles and peroxisomes), or are complex systems for protein trafficking (endoplasmic reticulum, Golgi, and secretory vesicles). The cell walls present different difficulties since they have no physical limits allowing purification. The purity of the targeted cell compartment is usually evaluated by biochemical and/or immunological methods. Nevertheless, in any sub-cellular proteomic analysis, proteins from a different compartment can be detected and the difficulty is to decide whether it is a contamination, or the unexpected location is real and has a functional significance. Software to predict sub-cellular location of proteins is available. However, since not all the targeting signals are known at present, carefulness in the use of such tools is recommended. Different tactics to solve this puzzle are discussed in this commentary.
An Improved Scheme for High-Resolution Point Cloud Map Generation Based on FMCW Radar

For the frequency modulated continuous wave (FMCW) radar, the angle resolution of the generated point cloud map (PCM) is limited by both the number of receiver antennas and the interference of multi-target environments. This paper proposes an improved scheme for high-resolution PCM generation based on a 77 GHz FMCW radar system. The scheme consists of a method to synthesize an equivalent virtual array based on the time-division multiplexing (TDM) multiple-input multiple-output (MIMO) technique and an improved target detection algorithm based on multi-channel fusion. The results show that the proposed scheme could suppress the noise floor and improve the accuracy of target detection by 1.33 times compared to a conventional constant false alarm rate (CFAR) detector in a multi-target environment. Moreover, by applying the proposed scheme, the angle resolution of the PCM generated by the radar system reaches to 1.3022 degrees.
Comparing the Performance of Machine Learning Algorithms for Human Activities Recognition using WISDM Dataset

Human activity recognition is an important area of machine learning research as it has much utilization in different areas such as sports training, security, entertainment, ambient-assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Mobile phones are used to be more than luxury products, it has become a kind of urgent need for a fast-moving world with rapid development. Nowadays mobile phone is well equipped with advanced processor, more memory, powerful battery and built-in sensors. This provides an opportunity to open up new areas of data mining for activity recognition of human’s daily living. In this paper, we tested experiment using Tree based Classifiers (Decision Tree, J48, JRIP, and Random Forest) and Rule based algorithms Classifiers (Naive Bayes and AD1) to classify six activities of daily life by using Weka tool. According to the tested results Random Forest classifier is more accurate than other classifiers.
Psychological Care of Health Workers during the COVID-19 Outbreak in Italy: Preliminary Report of an Occupational Health Department (AOUP) Responsible for Monitoring Hospital Staff Condition

The recent worldwide COVID-19 outbreak provided a timely demonstration of the mental health needs of health care workers on the front lines of the response to the pandemic. In addition to international guidelines, local institutions demand rapid and practical approaches easily replicable in different populations and contests. The principal aim of this paper is to highlight and share the experience of an Occupational Health Department responsible for monitoring hospital staff conditions during the SARS-COV-2 pandemic phase 1. The multidisciplinary team of the Occupational Health Department of a major university hospital in central Italy (AOUP) developed a specific protocol called PsicoCovid19 in order to provide targeted help, based on new psychosocial risk factors, to workers involved in the COVID-19 emergency to preserve hospital staff health. As of the date of this report, 106 workers (79 female, 27 male, mean age respectively, 51 ± 9.8, 45.7± 10.1) requested this service, reporting mild to moderate subjective distress. Approximately 81% of all the participants were already monitored before the outbreak of the pandemic. Among the total sample, 60% received a remodeling of a previous therapeutic program. Meanwhile, 7% passed from a psychiatric therapy to a combination therapy with the addition of a psychological treatment. The results demonstrate that those who asked for help were primarily female nurses who already presented with mental health vulnerabilities. A more gender-specific, clinical approach is needed.
Diphenamid Metabolism in Tomato: Time Course of an Ozone Fumigation Effect

The time course of diphenamid (N,N-dimethyl-2,2-diphenylacetamide) metabolism in tomato (Lycopersicon esculentum Mill. ‘Sheyenne’) was altered by fumigation with 30 pphm (parts per hundred million) of O3. After 2 days 70% of the absorbed diphenamid was metabolized in controls compared with 83% in fumigated plants. Concentrations of N-methyl-2,2-diphenylacetamide (MMDA) were equivalent in both fumigated and control plants. Less glucoside conjugate (MDAG) was present in fumigated plants 2 to 4 days after treatment than in the control plants. Gentiobioside conjugate (MDAGB) increased rapidly in fumigated plants after 0.5 day but not in control plants until after 2 days. Loss of diphenamid from aerated solution was demonstrated. A scheme for diphenamid metabolism is proposed.
Unveiling discourses on interculturality and identity construction in primary schools in Italy: a study based on translanguaging pedagogy

ABSTRACT This work aims at describing results drawn from a data corpus collected in a translanguaging-based research project named L’AltRoparlante, carried out since 2016 in four multilingual schools in Northern and Central Italy, in order to promote and support inclusive multilingual education. In this contribution, we will focus on the analysis of a corpus of interviews conducted with the teachers (11) and the students (146) of two schools involved in the project. All the interviews were analyzed and coded with NVivo 11 Pro, applying the principles of Grounded Theory and Qualitative Content Analysis. Aiming at combining the research on translanguaging pedagogy with that on multicultural discourses, our work sheds light on two main issues: (1) teachers’ discourses on students’ sociolinguistic repertoires, and the promotion of inclusive education and interculturality at school; (2) emergent bilingual students’ legitimization of their plural linguistic identities, and the promotion of their heritage cultures as a resource for the whole class.
Recent Advances in Stock Market Prediction Using Text Mining: A Survey

Market prediction offers great profit avenues and is a fundamental stimulus for most researchers in this area. To predict the market, most researchers use either technical or fundamental analysis. Technical analysis focuses on analyzing the direction of prices to predict future prices, while fundamental analysis depends on analyzing unstructured textual information like financial news and earning reports. More and more valuable market information has now become publicly available online. This draws a picture of the significance of text mining strategies to extract significant information to analyze market behavior. While many papers reviewed the prediction techniques based on technical analysis methods, the papers that concentrate on the use of text mining methods were scarce. In contrast to the other current review articles that concentrate on discussing many methods used for forecasting the stock market, this study aims to compare many machine learning (ML) and deep learning (DL) methods used for sentiment analysis to find which method could be more effective in prediction and for which types and amount of data. The study also clarifies the recent research findings and its potential future directions by giving a detailed analysis of the textual data processing and future research opportunity for each reviewed study.
Study on Decision Tree and KNN Algorithm for Intrusion Detection System

With the increase in use of network technology and internet in today’s world, cyber attacks and corruption of network protocols have become an inevitable part of the system. In order to tackle this, an efficient Intrusion Detection System (IDS) is required. IDS is a system that detects malicious activity by monitoring a system or a network. This paper focuses on implementing machine learning techniques Decision Tree and KNN on IDS and evaluates the performance of both the techniques based on their accuracy. The performance is calculated after applying the Univariate feature selection technique with ANOVA(Analysis of Variance) and algorithms are executed on the NSL-KDD dataset. The performance of algorithms is calculated by metrics like accuracy, recall, precision and F-score. The two algorithms are compared on the basis of these performance metrics. Keyword— ANOVA, Decision Tree, IDS, KNN, NSL-KDD Dataset
Is an Ounce of Remittance Worth a Pound of Health? The Case of Tajikistan

This article investigates the impact of international remittances on health outcomes. While the existing literature finds that remittances increase healthcare expenditure, expenditure alone is an incomplete proxy for health outcomes. Consequently, this article explores the impact of remittances on proxies for health outcomes beyond expenditure and for all household members (adults and children). It uses an instrumental variable approach to control for the endogeneity of remittances and finds a mostly positive relationship between remittances and health outcomes. This article also explores several possible transmission channels for how remittances affect health, finding that remittances have a positive and significant effect on household members’ likelihood of seeking direct medical care. It confirms remittances’ positive role in improving the welfare of the receivers and emphasizes the importance of distinguishing between remittances and other income sources in terms of their effects on development. JEL Classification: I15, F22, R23
Inclusion of People with Disabilities amid COVID-19: Laws, Interventions, Recommendations

The COVID-19 pandemic has presented an ongoing challenge especially for those people and children with special needs and disabilities as their voices are unheard in normal times and this unfortunate situation is heightened during this emergency. Government policies during the pandemic necessitate inclusion for people with disabilities who also have their global rights for no one should be left behind in this crisis. This article examines the laws of the Philippine Government on the provision for the inclusive special education and rights of the said learners, highlights the possible educational interventions to supplement their learning amid the pandemic and offers recommendations for the emergency preparedness legislative policies and services to be responsive to the educational, socio-emotional, and mental health needs of the students with disabilities amid the pandemic. Future research should examine the experiences of the children with disabilities in using digital media during the pandemic period and evaluate the effectiveness of assistive technologies to meet the learning needs of people with disabilities.
Punicalagin alleviates brain injury and inflammatory responses, and regulates HO-1/Nrf-2/ARE signaling in rats after experimental intracerebral haemorrhage

Purpose: To investigate the effect of punicalagin, an ellagitannin present in pomegranates, on intracerebral haemorrhage (ICH)-induced inflammatory responses and oxidative stress, and also unravel the underlying mechanism(s) of action. Methods: Collagenase type IV (0.2 U) was used to induce ICH in adult male Sprague-Dawley rats. Punicalagin was given to the rats at doses of 25, 50, and 75 mg/kg body weight via oral gavage for 15 days before ICH induction. The animals were sacrificed 24h following induction of ICH, and their brains were excised immediately and used for analysis. Histological changes were determined with Haematoxylin and Eosin (H&E) staining. Permeability to blood-brain barrier (BBB) was determined by quantifying the extent of extravasation of Evan Blue (EB). Protein expressions of HO-1/Nrf-2/ARE and NF-κB signaling were assayed using immunoblotting and RT-PCR. Levels of reactive oxygen species (ROS) and serum levels of cytokines were also determined. Results: Punicalagin treatment reduced inflammatory cell infiltration and cell damage, improved brain tissue architecture and BBB integrity. The punicalagin treatment increased the activities of antioxidant enzymes, and enhanced antioxidant status via activation of Nrf-2/ARE/HO-1 signaling pathway (p < 0.05). The treatment upregulated the expressions of HO-1 to 174 %, relative to 127 % in ICH control rats. Furthermore, it enhanced NF-κB levels and reversed the ICH injury-induced upregulations of IL-6, IL-18 and IL-1β. Conclusion: These findings indicate that punicalagin exerts neuroprotective effect in rats after experimental ICH through regulation of theHO-1/Nrf-2/ARE signaling pathway. Thus, punicalagin has therapeutic potential for ICH. Keywords: Brain injury, Haemoxygenase-1, Intracerebral haemorrhage, Inflammatory responses, Nrf2/ARE signalling, Punicalagin
The complete mitochondrial genome of the blue skate Dipturus batis

Abstract The complete mitochondrial genome of the blue skate Dipturus batis is described from shotgun sequencing on an Illumina next-generation sequencing platform. We report a 16,911 bp long sequence similar in size to other members of the genus, containing 13 protein-coding regions, 22 tRNA genes, 2 rRNA genes, and 2 non-coding areas. Phylogenetic analysis was performed using the complete mitochondrial genomes of 17 related species, placing D. batis within the Rajini tribe of the Rajidae family, consistent with current taxonomy. The new resource adds to a growing database of rajid mitogenomes which will help resolve phylogenetic relationships within the family.