Miracle-dz/UniFAR-FTUs huggingface dataset:
Gypsum endemics accumulate excess nutrients in leaves as a potential constitutive strategy to grow in grazed extreme soils

Abstract Extreme soils often have mineral nutrient imbalances compared to plant nutritional requirements and co‐occur in open areas where grazers thrive. Thus, plants must respond to both constraints, which can affect nutrient concentrations in all plant organs. Gypsum soil provides an excellent model system to study adaptations to extreme soils under current grazing practices as it harbours two groups of plant species that differ in their tolerance to gypsum soils and foliar composition. However, nutrient concentrations in organs other than leaves, and their individual responses to simulated herbivory, are still unknown in gypsum plants. We studied plant biomass, root mass ratio and nutrient partitioning among different organs (leaves, stems, coarse roots, fine roots) in five gypsum endemics and five generalists cultivated in gypsum and calcareous soils and subjected to different levels of simulated browsing. Gypsum endemics tended to have higher elemental concentration in leaves, stems and coarse roots than generalist species in both soil types, whereas both groups tended to show similar high concentrations in fine roots. This behaviour was especially clear with sulphur (S), which is found in excess in gypsum soils, and which endemics accumulated in leaves as sulphate (>50% of S). Moreover, plants subjected to clipping, regardless of their affinity to gypsum, were unable to compensate for biomass losses and showed similar elemental composition to unclipped plants. The accumulation of excess mineral nutrients by endemic species in aboveground organs may be a constitutive nutritional strategy in extreme soils and is potentially playing an anti‐herbivore role in grazed gypsum outcrops.
Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method

Deep learning-based clustering methods usually regard feature extraction and feature clustering as two independent steps. In this way, the features of all images need to be extracted before feature clustering, which consumes a lot of calculation. Inspired by the self-organizing map network, a self-supervised self-organizing clustering network ( $\text{S}^{3}$ OCNet) is proposed to jointly learn feature extraction and feature clustering, thus realizing a single-stage clustering method. In order to achieve joint learning, we propose a self-organizing clustering header (SOCH), which takes the weight of the self-organizing layer as the cluster centers, and the output of the self-organizing layer as the similarities between the feature and the cluster centers. In order to optimize our network, we first convert the similarities into probabilities which represents a soft cluster assignment, and then we obtain a target for self-supervised learning by transforming the soft cluster assignment into a hard cluster assignment, and finally we jointly optimize backbone and SOCH. By setting different feature dimensions, a Multilayer SOCHs strategy is further proposed by cascading SOCHs. This strategy achieves clustering features in multiple clustering spaces. $\text{S}^{3}$ OCNet is evaluated on widely used image classification benchmarks such as Canadian Institute For Advanced Research (CIFAR)-10, CIFAR-100, Self-Taught Learning (STL)-10, and Tiny ImageNet. Experimental results show that our method significant improvement over other related methods. The visualization of features and images shows that our method can achieve good clustering results.
Association of Physical Activity and Sedentary Behavior with Colorectal Cancer Risk in Moroccan Adults: A Large-Scale, Population-Based Case–Control Study

Background: Physical activity has been associated with a lower risk of colorectal cancer in studies mainly conducted in high-income countries, while sedentary behavior has been suggested to increase CRC risk. In this study, we aimed to investigate the role of physical activity and sedentary behavior on CRC risk in the Moroccan population. Methods: A case-control study was conducted involving 1516 case-control pairs, matched on age, sex and center in five university hospital centers. A structured questionnaire was used to collect information on socio-demographics, lifestyle habits, family history of CRC, and non-steroidal anti-inflammatory drug (NSAID) use. Information on physical activity and sedentary behavior were collected by the Global Physical Activity Questionnaire (GPAQ). For each activity (work, household, and recreational activities), a metabolic equivalent (MET) was calculated using GPAQ recommendations. Conditional logistic regression models were used to assess the association between physical activity, sedentary behavior and the risk of overall CRC, colon cancer, and rectal cancer taking into account other CRC risk factors. Results: High level of physical activity was associated with lower risk of rectal cancer, colon cancer, and overall CRC, the adjusted odds ratios (ORa) for the highest versus the lowest level of activity were 0.67 (95% CI: 0.54-0.82), 0.77 (95% CI: 0.62-0.96), and 0.72 (95% CI: 0.62-0.83), respectively. In contrast, sedentary behavior was positively associated with rectal cancer risk (ORa=1.19, 95% CI: 1.01-1.40), but was unrelated to colon cancer risk (ORa=1.02, 95% CI: 0.87-1.20). Conclusion: We found an inverse association between physical activity and CRC risk in the Moroccan population, and a positive association between sedentary behavior and rectal cancer risk. Considering that one-third of the total population studied had a sedentary lifestyle, these results may be used to improve strategies of public health suitable for Moroccan population.
3D printed human organoids: High throughput system for drug screening and testing in current COVID‐19 pandemic

In the current pandemic, scenario the world is facing a huge shortage of effective drugs and other prophylactic medicine to treat patients which created havoc in several countries with poor resources. With limited demand and supply of effective drugs, researchers rushed to repurpose the existing approved drugs for the treatment of COVID‐19. The process of drug screening and testing is very costly and requires several steps for validation and treatment efficacy evaluation ranging from in‐vitro to in‐vivo setups. After these steps, a clinical trial is mandatory for the evaluation of treatment efficacy and side effects in humans. These processes enhance the overall cost and sometimes the lead molecule show adverse effects in humans and the trial ends up in the final stages. Recently with the advent of three‐dimensional (3D) organoid culture which mimics the human tissue exactly the process of drug screening and testing can be done in a faster and cost‐effective manner. Further 3D organoids prepared from stems cells taken from individuals can be beneficial for personalized drug therapy which could save millions of lives. This review discussed approaches and techniques for the synthesis of 3D‐printed human organoids for drug screening. The key findings of the usage of organoids for personalized medicine for the treatment of COVID‐19 have been discussed. In the end, the key challenges for the wide applicability of human organoids for drug screening with prospects of future orientation have been included.
Hospital‐Level Variation in Ticagrelor Use in Patients With Acute Coronary Syndrome

Background Despite improved outcomes associated with ticagrelor compared with clopidogrel in acute coronary syndrome (ACS), many studies have demonstrated slow adoption of ticagrelor in the United States because of its increased cost. Less is known about how ticagrelor is adopted when there is no added cost consideration. Our objectives were to determine patterns of use of ticagrelor, hospital‐level adoption of ticagrelor use, and factors associated with its use after ACS in a publicly funded health care system. Methods and Results We conducted a population‐based cohort study including patients (≥65 years) hospitalized with their first ACS from April 2014 to March 2018 in Ontario, Canada. We determined temporal trends in ticagrelor use and hospital‐level adoption of its use post‐ACS discharge. Using hierarchical regression models, we identified significant predictors of ticagrelor use. There were 23 962 patients with ACS (mean age 76.3 years, 59.7% men) hospitalized in 156 hospitals. Overall ticagrelor use increased from 32.6% in 2014/2015 to 51.8% in 2017/2018. There was substantial variation in ticagrelor use post‐ACS across hospitals, with hospital‐specific prescribing rates ranging from 0% to 83.6%. Lower odds of ticagrelor use was associated with advanced age and the presence of comorbidities. Besides patient factors, being admitted to a rurally located hospital more than halved the odds of being prescribed ticagrelor (odds ratio [OR], 0.49; 95% CI, 0.32–0.77). Being managed by a cardiologist during the index ACS hospitalization was associated with higher odds of having a ticagrelor prescription after ACS (OR, 2.80; 95% CI, 2.36–3.33). Conclusions Ticagrelor use rates varied substantially across hospitals and were strongly associated with physician and hospital factors independent of patient characteristics.
PLAGL1 Gene Demethylation Induced by Epigallocatechin Gallate Promotes Pheochromocytoma Cell Apoptosis Via Wnt/β-catenin Signaling Pathway

Objective: The aim of this study was to investigate the expression and the promoter methylation level of PLAGL1 gene and the mechanism of epigallocatechin gallate (EGCG) that induces PLAGL1 gene demethylation and promotes the apoptosis of pheochromocytoma (PCC) in PC12 cell line. Methods: The PC12 cells were treated with 25, 50, 75, 100, and 150 μg/mL EGCG for 48 hours. MSP was used to examine PLAGL1 gene methylation and an MTT assay was performed to detect the cell proliferation. The cell apoptosis was detected using flow cytometry. The mRNA and protein expressions of DNMT1, PLAGL1, Wnt, and β-catenin were detected using RT-quantitative PCR and Western blot. Results: EGCG dose-dependently reduced the cell viability and reversed PLAGL1 gene hypermethylation in PC12 cells (P<0.05). The cell apoptosis was significantly increased in PC12 cells treated with EGCG. The EGCG treatment restored the expressions of PLAGL1 and downregulated the expression of DNMT1, Wnt, and β-catenin in PC12 cells (P<0.05). Conclusion: The EGCG induces the demethylation process of PLAGL1 gene through down-regulating DNMT1 and restores the PLAGL1 mRNA and protein expression. The Wnt/β-catenin signaling pathway is involved in the regulation of PCC cell apoptosis promoted by EGCG inducing PLAGL1 gene demethylation.
Psychological distress, understanding of cancer and illness uncertainty in patients with Cancer of Unknown Primary

Patients diagnosed with Cancer of Unknown Primary (CUP) experience high levels of psychological distress and report poor understanding of their cancer. We aimed to investigate: (1) if CUP patients with poorer understanding of their cancer diagnosis and testing experience more symptoms of psychological distress than those with better understanding; (2) if the relationship between patients' understanding of their cancer and psychological distress is mediated by illness uncertainty; and (3) explore whether patients' degree of understanding of their cancer can be predicted by clinical and socio‐demographic factors.
CPK28-NLP7 module integrates cold-induced Ca2+ signal and transcriptional reprogramming in Arabidopsis

Exposure to cold triggers a spike in cytosolic calcium (Ca2+) that often leads to transcriptional reprogramming in plants. However, how this Ca2+ signal is perceived and relayed to the downstream cold signaling pathway remains unknown. Here, we show that the CALCIUM-DEPENDENT PROTEIN KINASE 28 (CPK28) initiates a phosphorylation cascade to specify transcriptional reprogramming downstream of cold-induced Ca2+ signal. Plasma membrane (PM)–localized CPK28 is activated rapidly upon cold shock within 10 seconds in a Ca2+-dependent manner. CPK28 then phosphorylates and promotes the nuclear translocation of NIN-LIKE PROTEIN 7 (NLP7), a transcription factor that specifies the transcriptional reprogramming of cold-responsive gene sets in response to Ca2+, thereby positively regulating plant response to cold stress. This study elucidates a previously unidentified mechanism by which the CPK28-NLP7 regulatory module integrates cold-evoked Ca2+ signal and transcriptome and thus uncovers a key strategy for the rapid perception and transduction of cold signals from the PM to the nucleus.
Ambient Air Pollution Associated with Body Fat Percentages at Different Body Compartments: A Cohort Study of UK Biobank Participants

Introduction A few population-based studies have examined the potential obesogenic effects of ambient air pollution.1–3 However, the measurements of obesity in these studies were restricted to whole-body assessments, including weight, body mass index (BMI), and body fat percentage. With the advancement of bioelectrical impedance technologies, more comprehensive and finessed measurements of adiposity at different body compartments are available. Characterizing the relationship between ambient air pollution and adiposity at different body compartments can deepen the understanding of the association between ambient air pollution and obesity. In this study,we examined the association between ambient air pollution and body fat percentages at different compartments (arm, leg, and trunk) among baseline and cohort participants from theUKBiobank.
Self-Paced Broad Learning System

Broad learning system (BLS), an efficient neural network with a flat structure, has received a lot of attention due to its advantages in training speed and network extensibility. However, the conventional BLS adopts the least square loss, which treats each sample equally and thus is sensitivity to noise and outliers. To address this concern, in this article we propose a self-paced BLS (SPBLS) model by incorporating the novel self-paced learning (SPL) strategy into the network for noisy data regression. With the assistance of the SPL criterion, the model output is used as feedback to learn appropriate priority weight to readjust the importance of each sample. Such a reweighting strategy can help SPBLS to distinguish samples from “easy” to “difficult” in model training, equipping the model robust to noise and outliers while maintaining the characteristics of the original system. Moreover, two incremental learning algorithms associated to SPBLS have also been developed, with which the system can be updated quickly and flexibly without retraining the entire model when new training samples are added or the network needs to be expanded. Experiments conducted on various datasets demonstrate that the proposed SPBLS can achieve satisfying performance for noisy data regression.
Integrating LGBTQIA + Community Member Perspectives into Medical Education

Abstract Problem LGBTQIA+ (lesbian, gay, bisexual, transgender, queer, intersex, asexual, and all sexual and gender minorities) people have unique health care needs related to their sexual orientation, gender identity and expression, and sex development. However, medical education has historically excluded LGBTQIA + health-related content in formal curricula. It is common for medical students to interact with diverse patient populations through clinical rotations; however, access to and knowledge about LGBTQIA + patients is inconsistently prioritized in medical schools. This is especially true for LGBTQIA + patients with intersecting historically marginalized identities, such as people of color and people with disabilities. Learning from and listening to medically underserved community members can help both medical students and educators better understand the unique health needs of these communities, and address implicit biases to improve health care and outcomes for their patients. Intervention : To address the lack of LGBTQIA + health-related content in medical education and improve access to and knowledge about LGBTQIA + patients, LGBTQIA + community members’ perspectives and lived experiences were integrated into undergraduate medical education via four primary methods: Community Advisory Groups, community panel events, standardized patients, and community member interviews. Context : LGBTQIA + community members’ perspectives and lived experiences were integrated into medical education at Harvard Medical School (HMS) as part of the HMS Sexual and Gender Minority Health Equity Initiative. Impact : LGBTQIA + community members’ perspectives and lived experiences were successfully integrated into multiple aspects of medical education at HMS. During this process, we navigated challenges in the following areas that can inform similar efforts at other institutions: representation of diverse identities and experiences, meeting and scheduling logistics, structural barriers in institutional processes, and implementation of community member recommendations. Lessons Learned : Based on our experiences, we offer recommendations for integrating LGBTQIA + community members’ perspectives into medical education. Engaging community members and integrating their perspectives into medical education will better enable medical educators at all institutions to teach students about the health care needs of LGBTQIA + communities, and better prepare medical students to provide affirming and effective care to their future patients, particularly those who are LGBTQIA+.
Investigation of movement-related behaviors and energy compensation in people living with liver disease: A scoping review

ABSTRACT The importance of integrated movement behaviours (MB, i.e., physical activity [PA], sedentary behaviour, and sleep) and their interdependence for health has been recently discussed in the literature. The proposition that the amount of time spent in any one of these behaviours may impact the amount of time spent in another is supported by the ActivityStat hypothesis. The aim of this review is to (1) to assess whether individuals with liver disease display MB and/or energy (i.e., total energy expenditure [EE], basal EE, resting EE, and activity EE) compensation throughout the day and/or days; and (2) to examine whether a prescribed PA intervention triggers compensatory responses. Documents were included if they focused on people living with liver disease; analysed MB and/or EE components; were data-based; and were published in English. Fifteen documents were included in the final synthesis. The one finding that addressed research question 1 showed no compensatory response. As for research question 2, most of the findings suggest no compensation effects in response to a PA intervention. There is insufficient evidence to support the ActivityStat hypothesis in people living with liver disease. Further research should be conducted to test this hypothesis using standardized methodological procedures.
Autoimmunitywith Limited TCR Diversity in Control of T Regulatory Cells + Foxp3 + CD25 + CD4

The importance of high TCR diversity of Tregulatory (Treg) cells for self-tolerance is poorly understood. To address this issue, TCR diversity was measured for Treg cells after transfer into IL-2R b 2 / 2 mice, which develop lethal autoimmunity because of failed production of Treg cells. In this study, we show that high TCR diversity of pretransferred Treg cells led to selection of therapeutic Treg cells with lower TCR diversity that prevented autoimmunity. Pretransferred Treg cells with lower diversity led to selection of Treg cells through substantial peripheral reshaping with even more restricted TCR diversity that also suppressed autoimmune symptoms. Thus, in a setting of severe breakdown of immune tolerance because of failed production of Treg cells, control of autoimmunity is achieved by only a fraction of the Treg TCR repertoire, but the risk for disease increased. These data support a model in which high Treg TCR diversity is a mechanism to ensure establishing and maintaining self-tolerance. The Journal of Immunology , 2010, 184: 000–000. likely represent a major control point in establishing and self-tolerance. Considerable data afﬁnity that versus negative selection
Epitheliumamong M Cell Lineages in Mouse Mucosal Convergent and Divergent Development

M cells are specialized epithelial cells mediating immune surveillance of the mucosal lumen by transepithelial delivery of Ags to underlying dendritic cells (DC). At least three M cell phenotypes are known in the airways and intestine, but their developmental relationships are unclear. We used reporter transgenic mouse strains to follow the constitutive development of M cell subsets and their acute induction by cholera toxin (CT). M cells overlying intestinal Peyer’s patches (PPs), isolated lymphoid follicles, and nasal-associated lymphoid tissue are induced by distinct settings, yet show convergent phenotypes, such as expression of a peptidoglycan recognition protein-S (PGRP-S) transgene reporter. By contrast, though PP, isolated lymphoid follicle, and villous M cells are all derived from intestinal crypt stem cells, their phenotypes were clearly distinct; for example, PP M cells frequently appeared to form M cell-DC functional units, whereas villous M cells did not consistently engage underlying DC. B lymphocytes are critical to M cell function by forming a basolateral pocket and possible signaling through CD137; however, initial commitment to all M cell lineages is B lymphocyte and CD137 independent. CT causes induction of new M cells in the airway and intestine without cell division, suggesting transdifferentiation from mature epithelial cells. In contrast with intestinal PP M cells, CT-induced nasal-associated lymphoid tissue M cells appear to be generated from ciliated Foxj1 + PGRP-S + cells, indicative of a possible precommitted progenitor. In summary, constitutive and inducible differentiation of M cells is toward strictly deﬁned context-dependent phenotypes, suggesting specialized roles in surveillance of mucosal Ags. The Journal of Immunology , 2011, 187: 5277–5285.