Miracle-dz/UniFAR-FTUs huggingface dataset:
Magnetic enhancement of oxygen evolution reaction performance of NiCo-spinel oxides

Low-cost and high-efficiency transition metal oxide catalysts are desired for high-efficiency water splitting technology. An applying magnetic field (MF) enhancement method is presented to improve the oxygen evolution reaction (OER) performance of NiCo-spinel magnetic catalysts, the enhancement of OER performance depends on the applied MF strength and magnetic properties of catalysts. The maximum enhanced current density percentage of about 90.6%, 93.7%, and 70.1% are obtained by applying 105 mT MF in NiCo2O4, Ni1.5Co1. 5O4, and Ni2CoO4, respectively. The enhanced performance originates from the improved intrinsic activity and facilitated mass transfer process. The MF decreases the activation energy, which then leads to the improvement of intrinsic activity. This work provides more basic data for further gaining into the enhanced mechanism by applying the MF, meanwhile, the strategy can be used to enhance the performances of other electrocatalysts.
COX-2 pathway is upregulated in ultra-high risk individuals for psychosis

Abstract Background The identification of Ultra-High Risk (UHR) individuals is thought to be useful for early intervention to improve psychosis outcomes. However, transition rates vary widely, and there is an effort to make these criteria more specific and accurate. Neuroinflammation has been discussed in the pathophysiology of psychosis. The metabolism of eicosanoids is a key process in inflammatory states. Therefore, we investigated whether the study of the inflammatory COX-2 pathway through the quantification of the eicosanoid levels can be a useful approach for the characterisation of UHR individuals. Methods One hundred and twenty-two individuals were included in this study (67 UHR and 55 controls) based on performance on the Prodromal Questionnaire. UHR status was assessed by Structured Interview for Prodromal Syndromes (SIPS). We determined the levels of Prostaglandin F2α (PGF2α), Prostaglandin E2 (PGE2), and Thromboxane B2 (TxB2) in plasma using ELISA assays. Results Concentrations of PGE2 and TxB2 were increased in UHR compared to controls (p = 0.01 and p < 0.05, respectively). PGE2 and PGF2α levels were correlated to negative symptoms (p < 0.01 and p < 0.05), whereas TxB2 correlated with positive symptoms (p = 0.05) as assessed by the SIPS. Conclusions Our findings suggest that overactivation of the COX-2 pathway may be related to an increased risk for psychosis. However, our data do not allow us to draw conclusions related to the cause-effect mechanisms. Future studies should determine whether the levels of the eicosanoids have a predictive value for the transition of UHR to frank psychosis.
Molecular mechanisms of endomembrane trafficking in plants.

Endomembrane trafficking is essential for all eukaryotic cells. The best-characterized membrane trafficking organelles include the endoplasmic reticulum (ER), Golgi apparatus, early and recycling endosomes, multivesicular body (MVB) or late endosome (LE), lysosome/vacuole, and plasma membrane (PM). Even although historically plants have given rise to cell biology, our understanding of membrane trafficking has mainly been shaped by the much more studied mammalian and yeast models. Whereas organelles and major protein families that regulate endomembrane trafficking are largely conserved across all eukaryotes, exciting variations are emerging from advances in plant cell biology research. In this review, we summarize the current statet of knowledge on plant endomembrane trafficking, with a focus on four distinct trafficking pathways: ER-to-Golgi transport, endocytosis, trans-Golgi network-to-vacuole transport, and autophagy. We acknowledge the conservation and commonalities in the trafficking machinery across species, with emphasis on diversity and plant-specific features. Understanding the function of organelles and the trafficking machinery currently non-existent in well-known model organisms will provide great opportunities to acquire new insights into the fundamental cellular process of membrane trafficking.
Do Smarter People Have More Conservative Economic Attitudes? Assessing the Relationship Between Cognitive Ability and Economic Ideology

Evidence on the association of cognitive ability with economic attitudes is mixed. We conducted a meta-analysis (k = 20, N = 46,426) to examine the relationship between objective measures of cognitive ability and economic ideology and analyzed survey data (N = 3,375) to test theoretical explanations for the association. The meta-analysis provided evidence for a small positive association with a weighted mean effect size of r = . 07 (95% CI = [0.02, 0.12]), suggesting that higher cognitive ability is associated with conservative views on economic issues, but effect sizes were extremely heterogeneous. Tests using representative survey data provided support for both a positive association of cognitive ability with economic conservatism that is mediated through income as well as for a negative association that is mediated through a higher need for certainty. Hence, multiple causal mechanisms with countervailing effects might explain the low overall association of cognitive ability with economic political attitudes.
Multi-locus phylogenetic analyses of Colletotrichum gloeosporioides species complex causing crown rot on strawberry in Florida.

Colletotrichum gloeosporioides is the causal agent of Colletotrichum crown rot of strawberry in the southern United States. Recent multi-gene studies defined C. gloeosporioides as a complex species comprised of 37 species. In our study, we phylogenetically characterized C. gloeosporioides isolates from strawberry and other non-cultivated plants around strawberry fields. One hundred and fifteen strawberry isolates and 38 isolates from non-cultivated hosts were sequenced for five genomic regions: internal transcribed spacer (ITS), actin (ACT), calmodulin (CAL), chitin synthase (CHS-1), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH). Phylogenetic analysis using the maximum likelihood and Bayesian inference methods, based on partition-specific models, revealed that most of the isolates in Florida (86%) were closely related to C. siamense, whereas 14 isolates were closely related to C. theobromicola (syn. C. fragariae), four isolates were C. fructicola, and three were C. clidemiae. However, only the first three species were pathogenic to strawberry. Morphological characteristics evaluated show that mycelial growth of all species is about 5 mm/day but colony morphology varies by species and incubation conditions. In vitro mating of the isolates demonstrated that C. fructicola is homothallic whereas C. siamense and C. theobromicola isolates are heterothallic. The biological importance of these different Colletotrichum species is currently being investigated to determine whether different management strategies are needed in strawberry production fields.
Ketamine for treatment‐resistant bipolar depression—need for more data!

Treatment-resistant bipolar depression (TRBD) is a significant but less well-defined and quantified condition compared to treatment-resistant depression (TRD, unipolarity implied). Ketamine, a novel glutamatergic anesthetic agent repurposed as a rapid-acting antidepressant, is considered a third-line treatment with Level 3 evidence for acute bipolar I and II depression.1 While there are numerous studies of the efficacy, safety, and tolerability of off-label intravenous (IV) racemic ketamine and its FDA-approved enantiomer intranasal esketamine for TRD the evidence base of ketamine for TRBD is much less.
Expending the Phenotypic Spectrum of Encephalocraniocutaneous Lipomatosis: About a Prenatal Case With Complete Autopsy

Encephalocraniocutaneous lipomatosis (ECCL) or Haberland syndrome (MIM #613001) is a rare congenital neurocutaneous disorder. It is characterized by unilateral ocular, cutaneous and central nervous system anomalies. Key clinical features include hairless fatty tissue nevus of the scalp, choristoma of the eye and intraspinal and intracerebral lipomas. We report one of the first cases diagnosed after termination of pregnancy at 35 WG, including antenatal and post-mortem imaging, complete autopsy and genetic analysis. Prenatal ultrasound and MRI of the third trimester showed multifocal spinal lesions and left lateral cerebral ventriculomegaly with cerebral atrophy. Diagnosis of ECCL was suggested at complete autopsy which revealed nevus psiloliparus of the scalp, facial hamartomas and intracranial and spinal lipomas. In addition, our case also exhibited a cardiac rhabdomyoma and a multicystic dysplastic kidney, both never reported to date in this syndrome. ECCL was confirmed by the identification of a postzygotic FGFR1 mutation. We reviewed the literature and discuss the pathogenesis of this syndrome.
The Influence of a Peer Support Camp on Mitigating Emotional Distress in Siblings of Children With Cancer

Background: Siblings of children with cancer often experience anxiety and posttraumatic stress symptoms (PTSS), which negatively impact their self-esteem due to emotionally upsetting circumstances. The purpose of this longitudinal quantitative study was to investigate changes in anxiety, PTSS, and self-esteem of youth who participated in a peer support camp for siblings of children with cancer. Methods: A longitudinal study examined changes over time. Data were collected from 32 sibling surveys pre-, post-, and three months after camp. Siblings completed assessments to measure anxiety, PTSS, and self-esteem. A repeated measures ANOVA or Friedman Test was conducted to identify changes across the three data points for each outcome measured. Post hoc comparisons using paired sample t-tests or Wilcoxon Signed-Rank tests were conducted. Results: Significant improvements in anxiety; T1 and T2 (p < .000); T1 and T3 (p < .000). Significant decrease in PTSS; T1 and T2 (p = .001); T1 and T3 (p = .011). Significant improvement in self-esteem scores for older participants (ages 10–16); T1 and T2 (p < .000). Significant improvement in self-esteem for younger participants (ages 7–9); T1 and T3 (p = .005). Discussion: The data generated in this study expand knowledge about the influence of peer support camps on reducing the emotional distress of siblings of children with cancer. The findings warrant further research on the long-term impact of such camps, the value of repeated participation, differences between bereaved and nonbereaved siblings, the phase of the cancer experience, and elements of the camp that have the most impact.
EXTending availability of self-management structured EducatioN programmes for people with type 2 Diabetes in low-to-middle income countries (EXTEND)—a feasibility study in Mozambique and Malawi

Background Globally, there are estimated 425 million people with type 2 diabetes (T2D) with 80% from low-middle income countries (LMIC). Diabetes self-management education (DSME) programmes are a vital and core component of the treatment pathway for T2D. Despite LMIC being disproportionally affected by T2D, there are no DSME available that meet international diabetes federation criterion. Methods The aims were to test the feasibility of delivering a proven effective and cost-effective approach used in a UK population in two urban settings in Malawi and Mozambique by; (1) developing a culturally, contextually and linguistically adapted DSME, the EXTending availability of self-management structured EducatioN programmes for people with type 2 Diabetes in low-to-middle income countries (EXTEND) programme; (2) using a mixed-method approach to evaluate the delivery of training and the EXTEND programme to patients with T2D. Results Twelve healthcare professionals were trained. Ninety-eight participants received the DSME. Retention was high (100% in Mozambique and 94% in Malawi). At 6 months HbA1c (−0.9%), cholesterol (−0.3 mmol/L), blood pressure (−5.9 mm Hg systolic and −6.1 mm Hg diastolic) improved in addition to indicators of well-being (problem areas in diabetes and self-efficacy in diabetes). Conclusion It is feasible to deliver and evaluate the effectiveness of a culturally, contextually and linguistically adapted EXTEND programme in two LMIC. The DSME was acceptable with positive biomedical and psychological outcomes but requires formal testing with cost-effectiveness. Challenges exist in scaling up such an approach in health systems that do not have resources to address the challenge of diabetes.
Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio‐feature

Our study’s main purpose is to emphasise the significance of medical knowledge of pathophysiology before machine learning. We investigated whether combining domain knowledge with machine learning results might increase accuracy and minimise the number of bio‐features used to detect obstructive sleep apnea (OSA). The present study analysed data on 36 self‐reported symptoms and 24 clinical features obtained from 3,495 patients receiving polysomnography at a regional hospital and a medical centre. The area under the receiver operating characteristic (AUC) curve was used to evaluate patients with and without moderate or severe OSA using three prediction models on the basis of various estimation methods: the multiple logistic regression (MLR), support vector machine (SVM), and neural network (NN) methods. Odds ratios stratified by gender and age were also measured to account for clinicians’ common sense. We discovered that adding the self‐reported snoring item improved the AUC by 0.01–0.10 and helped us to rapidly achieve the optimum level. The performance of four items (gender, age, body mass index [BMI], and snoring) was comparable with that of adding two or more items (neck and waist circumference) for predicting moderate to severe OSA (Apnea–Hypopnea Index ≥15 events/hr) in all three prediction models, demonstrating the medical knowledge value of pathophysiology. The four‐item test sample AUCs were 0.83, 0.84, and 0.83 for MLR, SVM, and NN, respectively. Participants with regular snoring and a BMI of ≥25 kg/m2 had a greater chance of moderate to severe OSA according to the stratified adjusted odds ratios. Combining domain knowledge into machine learning could increase efficiency and enable primary care physicians to refer for an OSA diagnosis earlier.
Chronotype Differences in Energy Intake, Cardiometabolic Risk Parameters, Cancer and Depression: A Systematic Review with Meta-analysis of Observational Studies.

Chronotype is a behavioral manifestation of the internal circadian clock system. It refers to the specific activity-rest preference of an individual over a 24-hour period and can be assessed using different methodologies that classify individuals into morning or evening chronotype. In recent years, several studies have suggested a relationship between individual chronotype, eating habits, and the risk of developing obesity and other conditions. Our aim was to evaluate the association between chronotype, energy intake and health status through a meta-analytical approach. A comprehensive search of MEDLINE, Embase, Scopus, Web of Science and Cochrane Database was conducted. Observational studies that reported a measure of association between chronotype, energy intake and health indicators were considered eligible. Overall, 39 observational studies (37 cross-sectional studies, 2 prospective cohort studies) were included in the systematic review, with a total of 377,797 subjects. By comparing morning and evening subjects, pooled analyses of cross-sectional studies showed significantly (P < 0.001) higher levels of blood glucose [Mean Difference (MD) 7.82; 95% CI 3.18, 12.45], glycated hemoglobin (HbA1c) [MD 7.64; 95% CI 3.08, 12.21], LDL-cholesterol [MD 13.69; 95% CI 6.84, 20.54] and triglycerides [MD 12.62; 95% CI 0.90, 24.35] in evening subjects. Furthermore, an association between evening type and the risk of diabetes [Odds Ratio (OR) 1.30; 95% CI 1.20, 1.41], cancer [OR 1.18; 95% CI 1.08, 1.30] and depression [OR 1.86; 95% CI 1.20, 2.88] was reported. Regarding the other outcomes examined, no significant differences were observed between the groups in terms of energy intake, anthropometric parameters, blood pressure, insulin, total and HDL-cholesterol and hypertension risk. In conclusion, evening chronotype was associated with worse cardiometabolic risk profile and higher risk of diabetes, cancer, and depression. Further studies are needed to confirm these results and to better elucidate the interplay between chronotype, nutrition, and health status.
GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds

We propose a geometry-supporting dual convolutional neural network (GeoDualCNN) for both point cloud normal estimation and denoising. GeoDualCNN fuses the geometry domain knowledge that the underlying surface of a noisy point cloud is piecewisely smooth with the fact that a point normal is properly defined only when local surface smoothness is guaranteed. Centered around this insight, we define the homogeneous neighborhood (HoNe) which stays clear of surface discontinuities, and associate each HoNe with a point whose geometry and normal orientation is mostly consistent with that of HoNe. Thus, we not only obtain initial estimates of the point normals by performing PCA on HoNes, but also for the first time optimize these initial point normals by learning the mapping from two proposed geometric descriptors to the ground-truth point normals. GeoDualCNN consists of two parallel branches that remove noise using the first geometric descriptor (a homogeneous height map, which encodes the point-position information), while preserving surface features using the second geometric descriptor (a homogeneous normal map, which encodes the point-normal information). Such geometry-supporting network architectures enable our model to leverage previous geometry expertise and to benefit from training data. Experiments with noisy point clouds show that GeoDualCNN outperforms the state-of-the-art methods in terms of both noise-robustness and feature preservation.
Acute and chronic effects of a light-activated FGF receptor in keratinocytes in vitro and in mice

Optogenetic activation of FGFR2 allowed temporally precise induction of signaling and behavioural changes, but counter-regulation at multiple levels prevented a sustained response in keratinocytes. FGFs and their high-affinity receptors (FGFRs) play key roles in development, tissue repair, and disease. Because FGFRs bind overlapping sets of ligands, their individual functions cannot be determined using ligand stimulation. Here, we generated a light-activated FGFR2 variant (OptoR2) to selectively activate signaling by the major FGFR in keratinocytes. Illumination of OptoR2-expressing HEK 293T cells activated FGFR signaling with remarkable temporal precision and promoted cell migration and proliferation. In murine and human keratinocytes, OptoR2 activation rapidly induced the classical FGFR signaling pathways and expression of FGF target genes. Surprisingly, multi-level counter-regulation occurred in keratinocytes in vitro and in transgenic mice in vivo, including OptoR2 down-regulation and loss of responsiveness to light activation. These results demonstrate unexpected cell type–specific limitations of optogenetic FGFRs in long-term in vitro and in vivo settings and highlight the complex consequences of transferring optogenetic cell signaling tools into their relevant cellular contexts.
Diversity and Inclusion in Drug Development: Rethinking Intrinsic and Extrinsic Factors with Patient Centricity

Inadequate ethnic diversity in clinical trials, restrictive eligibility criteria, delayed or absent prescribing guidance for specific populations, and access lags impacting global health are under active discussion across academic, industry, and regulatory sectors. Outreach efforts, regulatory guidelines, and pragmatic trials are bridging these gaps. Transformative progress will require cross- stakeholder commitment to responsibly embrace diversity in intrinsic and extrinsic factors in clinical development, enabled by quantitative translational sciences, a Totality of Evidence mindset, purpose, and trust.
Temporo-spatial distribution of stem cell markers CD146 and p75NTR during odontogenesis in mice

Abstract Mesenchymal and epithelial stem cells were identified in dental tissues; however, knowledge about the odontogenic stem cells is limited, and there are some questions regarding their temporo-spatial dynamics in tooth development. Objective Our study aimed to analyze the expression of the stem cell markers CD146 and p75NTR during the different stages of odontogenesis. Methodology The groups consisted of 13.5, 15.5, 17.5 days old embryos, and 14 days postnatal BALB/c mice. The expression of CD146 and p75NTR was evaluated by immunohistochemistry. Results Our results showed that positive cells for both markers were present in all stages of tooth development, and the number of positive cells increased with the progression of this process. Cells of epithelial and ectomesenchymal origin were positive for CD146, and the expression of p75NTR was mainly detected in the dental papilla and dental follicle. In the postnatal group, dental pulp cells were positive for CD146, and the reduced enamel epithelium and the oral mucosa epithelium showed immunostaining for p75NTR. Conclusions These results suggest that the staining pattern of CD146 and p75NTR underwent temporal and spatial changes during odontogenesis and both markers were expressed by epithelial and mesenchymal cell types, which is relevant due to the significance of the epithelial-ectomesenchymal interactions in tooth development.
Correlation between Hypovitaminosis D and Nutritional Status with The Severity of Clinical Symptoms And Impaired Cognitive Function in Patients with Parkinson's Disease.

PURPOSE To evaluate the relationship between the severity of clinical symptoms and cognitive function of patients with Parkinson's disease (PD) and the serum vitamin D level and nutrition status. METHODS Thirty-three adult PD patient were included in the study (November 2016 to October 2018) and their clinical symptom severity (including the Hoehn and Yahr scale and unified Parkinson's disease rating scale (UPDRS)) and cognitive function (mini-mental state examination) were assessed in two visits (at time of enrollment and one year after the enrollment). In the meanwhile, their renal/liver function, serum level of vitamin D, vitamin B12, Folate and high-sensitive C-reactive protein were also measured for clinical correlation and comparisons. RESULTS From the two visits, we found our patients divided into two group, the well-nourished status group and at risk or malnutrition status group. In both visits, we uncovered patients at risk of malnutrition status had worse clinical severity and more impaired memory. As for hypovitaminosis D, the vitamin D level alone made no significant correlation with the clinical severity and cognitive function. CONCLUSION This study revealed that PD patient with at risk of malnutrition status has impaired cognitive function but patients with abnormal serum vitamin D level did not have such influence. But PD patients with abnormal vitamin D level have a higher hs-CRP level which has an influence on the cognitive function of PD patients. Therefore, abnormal serum vitamin D level may have an indirect influence on the cognitive function of PD patients through the influence on the hs-CRP level. This study is limited by the small case-number and short follow-up time. Further large scale study and longer observation period are needed for a better delineation of the relationship between the serum vitamin D level and nutritional status with the clinical condition of the PD patients.