Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioactive Compounds from Pale Ale Beer Powder Attenuate Experimental Colitis in BALB/c Mice

Phenolic compounds (PCs) present in foods are associated with a decreased risk of developing inflammatory diseases. The aim of this study was to extract and characterize PCs from craft beer powder and evaluate their potential benefits in an experimental model of inflammatory bowel disease (IBD). PCs were extracted and quantified from pure beer samples. BALB/c mice received either the beer phenolic extract (BPE) or beer powder fortified with phenolic extract (BPFPE) of PCs daily for 20 days by gavage. Colon samples were collected for histopathological and immunohistochemical analyses. Dextran sodium sulfate (DSS)-induced mice lost more weight, had reduced colon length, and developed more inflammatory changes compared with DSS-induced mice treated with either BPE or BPFPE. In addition, in DSS-induced mice, the densities of CD4- and CD11b-positive cells, apoptotic rates, and activation of NF-κB and p-ERK1/2 MAPK intracellular signaling pathways were higher in those treated with BPE and BPFPE than in those not treated. Pretreatment with the phenolic extract and BPFPE remarkably attenuated DSS-induced colitis. The protective effect of PCs supports further investigation and development of therapies for human IBD.
Cloth physical modeling and 3-D garment real-time simulation

For computational efficiency and stability of cloth physical modeling,proposed a cloth mass-spring model based on constraint.Taking geometry sphere and cylinder as examples,the paper explains the whole strategy which is used to deal with cloth deformable bodies colliding with environment object.The procedure of physically based simulation is described.The experimental results reveal that the computed data according to the model is very close to the actual values in spite of the complexity of the cloth geometry and it is suitable for real-time simulation.The above research results are applied to 3-D garment simulation environment,and examples are presented.
Ki67 and LSD1 Expression in Testicular Germ Cell Tumors Is Not Associated with Patient Outcome: Investigation Using a Digital Pathology Algorithm

TGCTs represent a model of curable disease afflicting especially young men. Defining tumor biological characteristics is crucial to increase current knowledge and tailor the best clinical management. Ki67, a potential prognostic marker, still exhibits heterogenous associations with patient outcomes, thus bringing the need of corroboration with larger cohorts in clinical practice. LSD1, an epigenetic enzyme, represents a future target for epigenetic drugs that may lower treatment-associated morbidity. This study aimed to assess Ki67/LSD1 immunoexpression across all TGCT histological subtypes and correlate it with clinicopathological features. Results were compared with an in silico analysis of the TCGA database. Immunohistochemistry for Ki67 and LSD1 was carried out in a cohort of 157 TGCT tumor samples and assessed using a digital pathology algorithm. LSD1 protein expression was explored in TGCT cell lines, including ATRA-differentiated clones. There was a significant positive correlation between Ki67 and LSD1 H-scores (rs = 0.182, p = 0.037). Ki67 positivity percentage and H-score were significantly higher in non-seminomas (p = 0.0316 and 0.0113, respectively). Expression was not significantly different according to clinicopathological features, including stage, IGCCCG prognosis-based system, or relapse/progression-free survival, which was corroborated by in silico analysis. Our study, making use of digital image analysis, does not confirm the utility of these biomarkers in a daily practice cohort. Although not affecting patient outcome in our cohort, LSD1 is expressed overall in TGCTs, suggesting sensitivity to LSD1 inhibitors.
Cell delivery peptides for small interfering RNAs targeting SARS-CoV-2 new variants through a bioinformatics and deep learning design

Nucleic acid technologies with designed delivery systems have surged as one the most promising therapies of the future, due to their contribution in combating SARS-CoV-2 severe disease. Nevertheless, the emergence of new variants of concern still represents a real threat in the years to come. It is here that the use of small interfering RNA sequences to inhibit gene expression and, thus, protein synthesis, may complement the already developed vaccines, with faster design and production. Here, we have designed new sequences targeting COVID-19 variants and other related viral diseases through bioinformatics, while also addressing the limited number of delivery peptides by a deep learning approach. Two sequences databases were produced, from which 62 were able to target the virus mRNA, and ten displayed properties present in delivery peptides, which we compared to the broad use TAT delivery peptide.
Surgical management of spontaneous thoracic and lumbar spondylodiscitis by fixation and debridement

Background: Spondylodiscitis could be considered one of the most disturbing challenges that face neurosurgeons due to variety of management strategies. The lumbar region was highly affected then dorsal region with higher percentage for lesion in L4/5 (25%) followed by T11/12 and L5/S1 (15%). In our study, we discuss the efficacy of debridement and fixation in cases of spontaneous thoracic and lumbar spondylodiscitis. Methods: This retrospective study included 40 patients with spontaneous thoracic or lumbar spondylodiscitis indicated for surgical intervention in the period from March 2019 to February 2021. All patients were subjected to thorough history taking, neurological examination, and investigations. The patients were operated on through posterior approach by debridement and posterior transpedicular screws fixation and fusion. Results: Clinical assessment early postoperative revealed 75% of cases showed full motor power and 20% showed improvement in motor power, for sensory assessment, 85% showed improvement, the mean visual analog scale (VAS) score was of 3.65 ± 0.87. After 3 months postoperatively, 95% of cases were full motor power with sensory and autonomic (sphincteric) improvement. The mean VAS score was 2.5 ± 0.68. After 6 months postoperative, the clinical assessment revealed that 95% of cases were full motor power with sensory manifestation improvement, and 95% of them were continent. The mean VAS score was 1±0.85. Culture results showed that 65% of samples were negative culture, 15% had methicillin-resistant Staphylococcus aureus, and 10% had Escherichia coli with a single case of Pseudomonas and another one of fungal (Candida albicans). Postoperative 90% of cases showed improvement in erythrocyte sedimentation rate results and 95% of cases showed improvement in C-reactive protein results. Conclusion: Management of spontaneous thoracic and lumbar spondylodiscitis by surgical debridement and posterolateral open transpedicular fixation seems to be effective and safe method despite the presence of infection. We found that the clinical condition of our patients showed significant improvement with this addressed approach.
Intelligent Data Analysis for Infection Spread Prediction

Intelligent data analysis based on artificial intelligence and Big Data tools is widely used by the scientific community to overcome global challenges. One of these challenges is the worldwide coronavirus pandemic, which began in early 2020. Data science not only provides an opportunity to assess the impact caused by a pandemic, but also to predict the infection spread. In addition, the model expansion by economic, social, and infrastructural factors makes it possible to predict changes in all spheres of human activity in competitive epidemiological conditions. This article is devoted to the use of anonymized and personal data in predicting the coronavirus infection spread. The basic “Susceptible–Exposed–Infected–Recovered” model was extended by including a set of demographic, administrative, and social factors. The developed model is more predictive and applicable in assessing future pandemic impact. After a series of simulation experiment results, we concluded that personal data use in high-level modeling of the infection spread is excessive.
Latest Research Progress of the Pathogenesis of Depression and Its Status of TCM Treatment

Depressive disorder (DD) is one of the most common mental disorders and one of the main causes of disability in the world. Chronic or early life stress events are one of the main factors of DD. Recent studies have shown that the microbiota-gut-brain axis imbalance, the abnormal electrical activity of lateral habenula, and genetic variation are closely related to DD. Especially, in recent years, the emergence of the microbiota-gut-brain axis has attracted extensive attention. At present, the existing antidepressants and the therapeutic effect is not obvious even invalid for many patients, and it is likely to cause adverse effects. Traditional Chinese Medicine has obvious therapeutic effects, which are safe, reliable, low price, and significantly reduced the use of western medicine and its side effects. Therefore, traditional Chinese medicine and its therapeutic method gradually are applied to the clinical treatment of DD and achieved good results. The article summarizes the latest pathogenesis of DD and reviewed the mechanism of traditional Chinese medicine participating in DD treatment, to provide a reference for the clinical treatment of depression.
Women’s Role in Agriculture and Food Security

Ushering in the next phase of agriculture in India requires a deeper understanding of the growth process across regions and socio-economic contexts with an emphasis on strengthening the role of women. This paper argues that it is critical to capture socio-cultural diversity across various agro-climatic zones to arrive at a more detailed understanding of women’s labour contributions within the changing landscape of food security. The paper is based on an extensive survey carried out in the states of Gujarat and West Bengal. The analysis shows the immense contribution of women in the agricultural sector. Women’s contribution in farms is higher in West Bengal than Gujarat, but in Gujarat their contribution in the allied sector is significant. Women’s work in farms and their involvement in decision-making are the important determining factors for maintaining household food security. Thus, women’s roles in the farm need to be strengthened for the next phase of agriculture.
Cylinder Fitting with Roundness Estimate Method Based on Projection

The cylinder centerline position will usually be calculated when surveying offshore steel structure, but the precision of initial value is very important for cylinder fitting, cylinder fitting can be successful only when initial value is close to true value. A new method is introduced in this paper, which only need to survey a few points on cylinder, with the roundness estimate method based on projection, the initial value can be calculated precisely,so the successful rate of fitting cylinder increase greatly.
Joint Technology Initiatives:a Major Innovative Mechanism of EU Framework Programme

The Joint Technology Initiatives(JTIs),accounting for 1.5%～4%EU research fund,is a major new element of the Seventh Framework Programme(FP7) implemented in 2007.Research shows that JTIs are legal entities which are proposed as a new way of realizing public-private partnerships in a relevant industrial research and development field at European level.The analysis is conducted that the selection of JTIs involves applying successively a series of criteria:strategic importance and presence of a clear deliverability;existence of market failure;Community value added;substantial,long-term industry commitment;inadequacy of existing Community instruments.Now the six areas are identified as JTIs,including fuel cells and hydrogen(FCH),aeronautics and air transport,innovative medicines(IMI),nanoelectronics,embedded computing systems,and global monitoring for environment and security.
QScout: A QGIS plugin tool suite for georeferencing and analysis of field‐scouted and remote sensing data

Field scouting is an important part of many research methodologies in plant pathology and plant phenomics. However, linking scouting data to field imagery is often hampered by the time‐consuming task of georeferencing with a GIS. Here, we present the QScout tool suite for integrating remote sensing imagery and raster data with field‐scouting data in QGIS, an open‐source GIS program. The central features of QScout are the Drop Pins and Locate Pins plugins, allowing the user to easily link scouted data to remote sensing imagery. QScout also includes the Value Grabber and Grid Aggregator plugins, which transfer raster data into pins and aggregate the data from the pins into a grid, respectively. The final tools, Drop, Grab, and Aggregate and Locate, Grab, and Aggregate, are plugins that combine subsets of the four core plugins. The interface allows GIS users to effectively make use of field‐scouted observations with remote imagery and can improve data organization, analysis, and identification of locations of interest for further scouting or targeted management. QScout is publicly available as a GitHub repository: (https://github.com/GoldLabGrapeSPEC/QScout).
Coupling between Ion Drift and Kinetics of Electronic Current Transients in MAPbBr3 Single Crystals

The optoelectronic properties of halide perovskite materials have fostered their utilization in many applications. Unravelling their working mechanisms remains challenging because of their mixed ionic–electronic conductive nature. By registering, with high reproducibility, the long-time current transients of a set of single-crystal methylammonium lead tribromide samples, the ion migration process was proved. Sample biasing experiments (ionic drift), with characteristic times exhibiting voltage dependence as ∝ V–3/2, is interpreted with an ionic migration model obeying a ballistic-like voltage-dependent mobility (BVM) regime of space-charge-limited current. Ionic kinetics effectively modify the long-time electronic current, while the steady-state electronic currents’ behavior is nearly ohmic. Using the ionic dynamic doping model (IDD) for the recovering current at zero bias (ion diffusion), the ionic mobility is estimated to be ∼10–6 cm2 V–1 s–1. Our findings suggest that ionic currents are negligible in comparison to the electronic currents; however, they influence them via changes in the charge density profile.
BAF-L Modulates Histone-to-Protamine Transition during Spermiogenesis

Maturing male germ cells undergo a unique developmental process in spermiogenesis that replaces nucleosomal histones with protamines, the process of which is critical for testicular development and male fertility. The progress of this exchange is regulated by complex mechanisms that are not well understood. Now, with mouse genetic models, we show that barrier-to-autointegration factor-like protein (BAF-L) plays an important role in spermiogenesis and spermatozoal function. BAF-L is a male germ cell marker, whose expression is highly associated with the maturation of male germ cells. The genetic deletion of BAF-L in mice impairs the progress of spermiogenesis and thus male fertility. This effect on male fertility is a consequence of the disturbed homeostasis of histones and protamines in maturing male germ cells, in which the interactions between BAF-L and histones/protamines are implicated. Finally, we show that reduced testicular expression of BAF-L represents a risk factor of human male infertility.
Rapid Acidification of the Arctic Chukchi Sea Waters Driven by Anthropogenic Forcing and Biological Carbon Recycling

The acidification of coastal waters is distinguished from the open ocean because of much stronger synergistic effects between anthropogenic forcing and local biogeochemical processes. However, ocean acidification research is still rather limited in polar coastal oceans. Here, we present a 17‐year (2002–2019) observational data set in the Chukchi Sea to determine the long‐term changes in pH and aragonite saturation state (Ωarag). We found that pH and Ωarag declined in different water masses with average rates of −0.0047 ± 0.0026 years−1 and −0.017 ± 0.009 years−1, respectively, and are ∼2–3 times faster than those solely due to increasing atmospheric CO2. We attributed the rapid acidification to the increased dissolved inorganic carbon owing to a combination of ice melt‐induced increased atmospheric CO2 invasion and subsurface remineralization induced by a stronger surface biological production as a result of the increased inflow of the nutrient‐rich Pacific water.
Progress and Hurdles of Therapeutic Nanosystems against Cancer

Nanomedicine against cancer, including diagnosis, prevention and treatment, has increased expectations for the solution of many biomedical challenges in the fight against this disease. In recent decades, an exhaustive design of nanosystems with high specificity, sensitivity and selectivity has been achieved due to a rigorous control over their physicochemical properties and an understanding of the nano–bio interface. However, despite the considerable progress that has been reached in this field, there are still different hurdles that limit the clinical application of these nanosystems, which, along with their possible solutions, have been reviewed in this work. Specifically, physiological processes as biological barriers and protein corona formation related to the administration routes, designing strategies to overcome these obstacles, promising new multifunctional nanotherapeutics, and recent clinical trials are presented in this review.
Air Breakdown of High Power Microwave Pulse and Its Effect on Transmitted Energy

In this paper,air breakdown by high power micro wave pulse is modeled using the parameters in comparatively wide region for the interaction between electrons and air neutral molecules. Escaping time for high power microwave pulse is defined, and the relation between transmitted en ergy density and incident power density is anlyzed. The effects of a quantity of parameters on the transmitted energy are studied.
Variability of Hungarian oak (Quercus frainetto Ten.) from the territory of Lipovica according to morphological traits of seedlings

Natural populations of Hungarian oak in Serbia are found near the northwestern boundary of the range of distribution of this significant forest species. The survival of forest border provenances is endangered due to climate change, small population size, low species competitiveness, etc. Therefore, ancillary measures of population regeneration support are recommended along with broadening of their genetic diversity. Although the knowledge of the levels and structure of genetic diversity of populations is a prerequisite for successful conservation and use, research of this topic regarding Hungarian oak is rare. The analyses of morphological traits of one-year-old seedlings of 40 half-sib families are carried out in order to gain insight into the variability of Hungarian oak population in Lipovica. The intrapopulation variability was determined based on two measured morphological parameters and one derived ratio. The obtained results show there is a significant variability of morphological traits of seedlings on the level of half-sib families and they indicate a high phenotypic variability of the researched traits. The results of the analysis of variance show statistically significant differences between the researched halfsib families for all observed traits. The researched gene pool of Hungarian oak is characterized by a satisfactory degree of genetic variability and represents a good starting point for the process of further breeding. In order to confirm the results of this research, i.e., to determine more precisely genetic structure of the population, it is necessary to perform analyses of various phenotypic traits in specially designed field plantations as well as the analysis of adequate DNA markers.
Plant phenotypic plasticity changes pollinator-mediated selection

Many organisms change their phenotype in response to the environment, a phenomenon called phenotypic plasticity. Yet we hardly understand how such plasticity can affect biotic interactions and the resulting phenotypic selection. Here we use fast cycling Brassica rapa plants in a proof-of-concept experiment in the greenhouse to study the link between plasticity and selection. We detected strong plasticity in morphology, nectar, and floral scent in response to different soil types and aphid herbivory. We found positive selection on nectar and several morphological traits. Bumblebee-mediated selection on a principle component representing plant height, flower number, and flowering time (mPC3) differed depending on soil type and herbivory. For plants growing in richer soil, selection was stronger in the absence of herbivores, whereas for plants growing in poorer soil selection was stronger with herbivory. We showed that bumblebees visited tall plants with many flowers over-proportionally when they were rare (i.e. in plants in poor soil with herbivory), thus causing stronger positive selection on this trait-combination. We suggest that with strong plasticity under most stressful conditions, a shift in pollinator behavior may speed up adaptation to local environmental factors.
The Impact of Social Conformity on Adopting Decision of Shared Electric Vehicles: A Choice Experiment Analysis in China

Social conformity, a psychological phenomenon commonly shared by most individuals, has long been ignored by studies focusing on influencing preferences for shared electric vehicles (SEVs). To fill this gap, this paper divides social conformity into informational conformity and normative conformity, and analyzes their effects on individuals’ choice of SEVs. Respondents were selected randomly in Jiangsu Province, and the data were collected by the choice experiment method. The data were further analyzed by logit models. Results show that social conformity has a significant positive impact on individuals’ choice of SEVs, and informational conformity has a much more profound impact than normative conformity. The driving cost and the convenience of picking up and returning a vehicle also influence consumers’ preferences. In addition, social conformity cannot totally dispel the negative impact of poor experience. Finally, some targeted policy recommendations are proposed.
Social justice-oriented school counsellors and programmes: A new conceptual framework for social justice principles

ABSTRACT The purpose of this article is to provide a new social justice conceptual framework in school counselling. Although principles of social justice have been discussed in the counselling field, more discussion on the principles is needed to help school counsellors improve their counselling services for all students. This comprehensive literature review suggests eight social justice principles: (1) Constant self-examination, (2) appreciating students’ worldviews and life experiences, (3) focus on strengths, (4) liberatory consciousness, (5) sharing power (6) reciprocal collaboration, (7) taking action, and (8) leaving students with tools. Challenges to implementing these principles are discussed and recommendations for school counsellors are provided.