Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating Sex Differences in the Characteristics and Outcomes of Lupus Nephritis: A Systematic Review and Meta-Analysis

Abstract Introduction More frequent and severe lupus nephritis (LN) has been reported in men compared to women, but data are limited and inconsistent. We conducted a meta-analysis of the literature to compare the histopathologic findings and outcomes between men and women with biopsy-proven LN. Methods A systematic search of MEDLINE, Embase, Cochrane, and Web of Science databases was conducted through February 2021. Clinical information was extracted and synthesized from 25 studies that met inclusion criteria (1,210 men and 6,635 women). Pooled odds ratios (OR) with corresponding 95% confidence intervals (CIs) were generated via meta-analysis, and meta-regression was performed to assess the impact of several covariates, both using random-effects models. Results Twenty studies reported kidney histopathology, eleven reported kidney outcomes, and eight reported mortality rates. Men had greater odds of class IV ± V LN (OR 1.26, 95% CI: 1.01–1.56), and the composite of end-stage kidney disease, persistent eGFR <15 mL/min or doubling of serum creatinine (OR 2.20, 95% CI: 1.59–3.06), and lower odds of complete remission (OR 0.52, 95% CI: 0.39–0.68). Mortality was not statistically significantly different between sexes (OR 1.50, 95% CI: 0.92–2.46). Meta-regression did not reveal statistically significant study-level relationships between sex differences in any of the covariates that could account for the greater odds of worse kidney outcome in males. Conclusion Our analysis confirms the association between male sex and increased severity of LN as well as worse kidney outcomes. Larger prospective studies are needed to validate this association and inform treatment strategies adapted to this population.
Butterflies and bow echoes: Addressing poor forecasts with ensemble simulations

vii GENERAL INTRODUCTION . 1 1 Mesoscale convective systems . 2 2 Bow echoes and derechos . 3 3 Predictability horizons . 5 4 Numerical simulation . 7 5 Key questions . 10 ON CONTRASTING ENSEMBLE SIMULATIONS OF TWO GREAT PLAINS BOW ECHOES . 14 Abstract . 14
Marine Toxins as Pharmaceutical Treasure Troves: A Focus on Saxitoxin Derivatives from a Computational Point of View

This work highlights the significant potential of marine toxins, particularly saxitoxin (STX) and its derivatives, in the exploration of novel pharmaceuticals. These toxins, produced by aquatic microorganisms and collected by bivalve mollusks and other filter-feeding organisms, offer a vast reservoir of chemical and biological diversity. They interact with sodium channels in physiological processes, affecting various functions in organisms. Exposure to these toxins can lead to symptoms ranging from tingling sensations to respiratory failure and cardiovascular shock, with STX being one of the most potent. The structural diversity of STX derivatives, categorized into carbamate, N-sulfocarbamoyl, decarbamoyl, and deoxydecarbamoyl toxins, offers potential for drug development. The research described in this work aimed to computationally characterize 18 STX derivatives, exploring their reactivity properties within marine sponges using conceptual density functional theory (CDFT) techniques. Additionally, their pharmacokinetic properties, bioavailability, and drug-likeness scores were assessed. The outcomes of this research were the chemical reactivity parameters calculated via CDFT as well as the estimated pharmacokinetic and ADME properties derived using computational tools. While they may not align directly, the integration of these distinct datasets enriches our comprehensive understanding of the compound’s properties and potential applications. Thus, this study holds promise for uncovering new pharmaceutical candidates from the considered marine toxins.
Investigating the reproductive migration and spatial ecology of Nassau Grouper (Epinephelus striatus) on Little Cayman Island using acoustic tags – an overview

1 Reef Environmental Education Foundation (REEF) Pacific Coast Office, 4726 38th Ave NE, Seattle, WA 98105 Coastal Ecology & Conservation Research Group U.S. Geological Survey, Center for Aquatic Resource Studies, 7920 NW 71st St., Gainesville, FL 32653 3 Department of Environment, Cayman Islands Government, P.O. Box 486GT, Grand Cayman, Cayman Islands Department of Fisheries and Wildlife, 104 Nash Hall, Oregon State University, Corvallis, OR 97331
Metastatic splenic angiosarcoma presenting with anemia and bone marrow fibrosis mimicking primary myelofibrosis: A case report and literature review

Angiosarcomas, originating from endothelial cells, are infrequent soft tissue sarcomas characterized by a high propensity for metastasis and an unfavorable prognosis. Splenic angiosarcoma, an exceedingly rare and aggressive neoplasm, exhibits variable clinical manifestations. The present case report describes a patient initially exhibiting anemia and bone marrow fibrosis, mimicking primary myelofibrosis, ultimately diagnosed with splenic angiosarcoma. The findings of the present case report underscore the importance of considering splenectomy for histopathological confirmation. Employing a panel of vascular differentiation markers is invaluable for establishing the diagnosis of angiosarcoma.
The Measurement Of Good Corporate Governance In Islamic Banking And Its Effect On Financial Performance (Empirical Study Of Islamic Commercial Banks In Indonesia)

This research aims to measure the quality of Good Corporate Governance (GCG) in Islamic Banking and examine its effect on financial performance. The independent variables examined include GCG Index, Board of Commissioner (BOC), Audit Committee (AC), Sharia Supervisory Board (SSB), Gender Diversity of BOC and SSB. The dependent variable includes financial performance determined by Return on Assets (ROA). This research uses samples of 11 Islamic Commercial Banks period of 2015-2019. They were selected using judgement sampling method. The data analysis method used panel data regression analysis with Fixed Effect estimation model. The result revealed that the GCG quality of Islamic Commercial Banks in Indonesia adheres to 90% of the indicator used in the GCG Index. Despite that, the GCG Index found no significant effect on financial performance. Moreover, the Good Corporate Governance implication in Board of Commissioner, Audit Committee, Sharia Supervisory Board and Gender Diversity also found no significant effect on Islamic banking’s financial performance.
DEM generation and hydrologic modelling using LiDAR data

Communities and governments in flood prone areas around the globe seek to prevent the disastrous effects of major floods. There are plenty of examples of such events in the 21st century occurring around the globe. A particular event of significance to southeast Queensland is the floods of December 2010 and January 2011 which did much damage to communities in affected regions of the state. Airborne LiDAR has provided a sophisticated method of capturing data for digital elevation models (DEM) which provides a basis for flood flow and inundation predictions to inform the design of future developments and mitigation measures to reduce the consequences of major floods. This dissertation investigated the use of Airborne LiDAR for hydrologic modelling, the accuracy of LiDAR data, its use as a tool for terrain change analysis and its effectiveness for basic flood extent modelling. LiDAR data captured in 2010 and 2012 covering the East Creek catchment in Toowoomba was obtained for this project. Hydrologic models were created and results were compared between the 2010 and 2012 LiDAR datasets. It was found that hydrologic flow lines and watershed boundaries varied on side streams. This variation was also found to be less in undeveloped areas than in developed areas. A conventional field survey was carried out over a small area on East Creek to validate the LiDAR datasets and it was found that both LiDAR datasets were within the specified accuracies overall, though there was a tendency to overestimate elevations in areas covered by vegetation. The datasets and validation analysis were used to search for terrain changes between the periods of data capture and several areas of definite probable terrain change were found. The results highlighted the potential of LiDAR data for this application. A basic flood surface extent analysis was done in the same area and LiDAR was found to perform well with minor effects of elevation overestimation errors due to vegetation. This dissertation shows some of the capabilities and limitations of LiDAR. Future research should make use of more sophisticated hydraulic modelling software and techniques. However the use of two independent LiDAR datasets provided a useful independent check which would be helpful for future studies of a similar topic.
Fault Diagnosis of High-Speed Train Bogie by Residual-Squeeze Net

Fault diagnosis of high-speed train (HST) bogie is essential in guaranteeing the normal daily operation of an HST. In prior works, feature extraction from multisensor vibration signals mainly relies on signal processing methods, which is independent of the classification process. Based on convolutional neural networks (CNNs), this paper presents a novel fault diagnosis system using the residual-squeeze net (RSNet), which is directly applicable to raw data (time sequences) and does not require any signal transformation or postprocessing. In this network, information fusion is achieved by using the convolutional layer. More specifically, via the squeeze operation, an optimal combination of channels is learnt by training the network. Experimental results obtained by using SIMPACK simulation data demonstrate the effectiveness of the proposed approach in both complete failure case and single failure case, with diagnosis accuracy near 100%. The proposed approach also shows good performance in identifying the locations of faulty components. Comparisons between RSNet and competitive methods shows the advantages of RSNet for fault classification.
Projected changes in atmospheric rivers affecting Europe in CMIP5 models

Atmospheric Rivers (ARs) are elongated bands of high water vapor concentration extending to the midlatitudes, which can be associated with intense precipitation and floods over continental areas. We analyze ARs reaching Europe in simulations from six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs) to quantify possible changes during the current century, with emphasis in five western European prone coastal areas. ARs are represented reasonably well in GCMs for recent climate conditions (1980–2005). Increased vertically integrated horizontal water transport is found for 2074–2099 (RCP4.5 and RCP8.5) compared to 1980–2005, while the number of ARs is projected to double on average for the same period. These changes are robust between models and are associated with higher air temperatures and thus enhanced atmospheric moisture content, together with higher precipitation associated with extratropical cyclones. This suggests an increased risk of intense precipitation and floods along the Atlantic European Coasts from the Iberian Peninsula to Scandinavia.
The Dominant Role of the Summer Hemisphere in Subtropical Lower Stratospheric Wave Drag Trends

It is well established that the shallow branch of the Brewer‐Dobson circulation accelerates in a warming climate due to enhanced wave drag in the subtropical lower stratosphere. This has been linked to the strengthening of the upper flanks of the subtropical jets. However, the seasonality of the zonal wind trends, peaking in the winter hemisphere, is opposite to that of the Eliassen‐Palm flux convergence trends, peaking in summer. We investigate the seasonality in the wave drag trends and find a different behavior for each hemisphere. The Shepherd and McLandress (2011, https://doi.org/10.1175/2010jas3608.1) mechanism, involving transient wave dissipation at higher levels following the rise of the critical lines, is found to maximize in austral summer. On the other hand, in the Northern Hemisphere the wave drag increase peaks in summer primarily due to the changes in the stationary planetary waves (monsoonal circulations) associated with enhanced deep convection.
Extraction, Isolation and Structure Elucidation of Two Phenolic Acids from Aerial Parts of Celery and Coriander

Celery and coriander are vastly applied in modern medicine and traditionally because various medicinal and nutritional benefits depend on their medicinal characteristics. The study aimed to detect, isolate and compare extracts contents of phenolic acids (caffeic and p-coumaric acids) in ethyl acetate fraction of fresh and dry aerial parts of coriander (Coriandrum sativum L.) and celery (Apium graveolens L.) of the Apiaceae family. The extraction of these constituents was carried out by maceration method using 70% ethanol and fractionation was done by using petroleum ether, and ethyl acetate. The existence of caffeic and p-coumaric acids in aerial part extracts of two plants was identified by thin-layer chromatography (TLC) and high-performance liquid chromatography (HPLC). After qualitative determination of these active constituents, high-performance liquid chromatography analysis was also applied for quantification of caffeic and p-coumaric acid and the results showed that ethyl acetate extract of dry coriander showed higher contents of caffeic and p-coumaric acid than ethyl acetate extracts of fresh coriander and celery (dry and fresh). Depending on the results of TLC and HPLC, two bioactive compounds (caffeic acid and p-coumaric acid) were isolated and identified by Fourier transform infrared spectroscopy, proton nuclear magnetic resonance spectroscopy, and full scan product ion mode liquid chromatography mass spectrometry. This result opens the minds to the dry plant era and leads to counter fiction of what was known that fresh plant gives better results than the dry one.
Evaluation of performances and selection response of three indigenous chicken genotypes at seventh-generation

The present study was conducted to assessed the performances of three native chicken genotypes under intensive management. A total of 1042 day-old chicks comprising of 3 types of chicken, namely Naked Neck (NN-381), Hilly (HI-313), and Non-descript Deshi (ND-348), were Hatched for this study. The seventh generation, selection was practiced at 40 weeks of age according to 40-week body weight (BW), egg production (EP) up to 40-week, egg weight (EW) at 40 weeks, and age at maturity (ASM). The data were analyzed in a CRD. Day-old chick weight was significantly (P < 0.001) highest in HI (32.52 ± 0.32 g). Significant (P < 0.001) body weight differences among the genotypes were observed at the 12th week of age. Genotype had a significant effect on chick mortality. The average age at the first egg of ND 145.54days was 8.81 days earlier than that of HI 154.35days. Hatchability on fertile eggs differed significantly (P < 0.05) among the genotypes. The percentage of dead germ was affected (P < 0.001) by genotype. Feed consumption from 9 to 16 weeks showed a significant (P < 0.001) variation in feed intake among the native chicken genotypes. EP of ND, HI, and NN birds were expected to increase by 0.875, 1.585, and 0.255 %, respectively. The EW of ND, HI, and NN birds were expected to increase by 0.205, 0.250, and 0.015g, respectively. Responses to selection for EP and EW for three genotypes (ND, HI, and NN) were expected to be positive (increase). It is concluded that the Hilly genotype may be chosen for meat production and the Non-descript Deshi genotype for egg production.
Upper Cambrian shumardiids from north-western Hunan, China

Material from two Upper Cambrian horizons in north-western Hunan, China, represents two new species of Shumardiidae. These provide important information concerning the morphology and evolution of early members of this family of small trilobites. Oculishumardia hunania gen. and sp. nov., the type species of Oculishumardia, from the middle Huaqiao Formation (Youshian Stage), is the oldest-known shumardiid. Symplesiomorphic characters, possibly inherited from a ptychoparioid ancestor, include the presence of palpebral lobes, facial sutures and an anterior border. This suggests that the sighted condition may have been phylogenetically basal for the shumardiid clade, and O. hunania may represent an intermediate stage of evolution between eye-bearing ptychoparioids and more derived. generally eyeless, shumardiids. Akoldinioidia shanjiangensis sp. nov. from the overlying Shenjiawan Formation (upper Taoyuanian Stage) has five thoracic segments, two of which are macropleural. It may represent an intermediate stage in an evolutionary succession from Akoldinioidia dydimacantha to Acanthopleurella. Acanthopleurella may have been derived from a form comparable to A. dydimacantha by reduction both in holaspid size and in the number of holaspid thoracic segments. The hypostome in A. shanjiangensis suggests that shumardiids were characterised by a natant mode of hypostomal attachment.
The Convergence of Economic Growth: Case Study of East Java

Economic growth is a parameter in achieving regional economic development, which describes an increase in the actual production capacity and the dynamics of the regional economy. This study aims to determine whether there is a yearly decrease in economic growth inequality (sigma convergence) or an acceleration of low economic growth to high economic growth (beta convergence) in East Java in 2016 – 2021. This study used secondary data. The analytical method used in this study is convergence and panel data regression analysis. The results showed that the dispersion of economic growth experienced a downward trend, indicating the occurrence of sigma convergence in East Java. Underdeveloped regions do not grow faster than developed regions, showing no absolute beta convergence in East Java. The HDI and Population Variables have not been able to accelerate convergence in East Java, indicating no conditional beta convergence in East Java.
Genomic risk prediction of cardiovascular diseases among type 2 diabetes patients in the UK Biobank

Background: Polygenic risk score (PRS) has proved useful in predicting the risk of cardiovascular diseases (CVD) based on the genotypes of an individual, but most analyses have focused on disease onset in the general population. The usefulness of PRS to predict CVD risk among type 2 diabetes (T2D) patients remains unclear. Methods: We built a meta-PRSCVD upon the candidate PRSs developed from state-of-the-art PRS methods for three CVD subtypes of significant importance: coronary artery disease (CAD), ischemic stroke (IS), and heart failure (HF). To evaluate the prediction performance of the meta-PRSCVD, we restricted our analysis to 21,092 white British T2D patients in the UK Biobank, among which 4,015 had CVD events. Results: Results showed that the meta-PRSCVD was significantly associated with CVD risk with a hazard ratio per standard deviation increase of 1.28 (95% CI: 1.23–1.33). The meta-PRSCVD alone predicted the CVD incidence with an area under the receiver operating characteristic curve (AUC) of 0.57 (95% CI: 0.54–0.59). When restricted to the early-onset patients (onset age ≤ 55), the AUC was further increased to 0.61 (95% CI 0.56–0.67). Conclusion: Our results highlight the potential role of genomic screening for secondary preventions of CVD among T2D patients, especially among early-onset patients.
Halal Food Shopping Behavior of Millennials: Evidence in Indonesia

The global community is beginning to realize the importance of consuming halal food. The presence of the halal food industry can arouse the enthusiasm of people who want a shopping system that complies with their religious rules. This study aims to examine halal-labeled food shopping behavior of Indonesian millennials through four determinant factors, namely, spirituality, image, trust and satisfaction. In this study, validity and reliability were tested using partial least square (PLS) based on structural equation modeling (SEM). This study proves that spirituality cannot be directly associated with halal-labeled food shopping behavior. On the other hand, spirituality with the mediating variables of trust and satisfaction can predict shopping behavior for halal-labeled food. This research is limited to halal food consumers in Jabodetabek. To get more significant results, further research is recommended to expand the observation area to a national scale.
The Influence of Conformity and Family Economic Education on Consumption Behavior of High School Students in Mojokerto City

Objective: High school students who are in their teens tend to consume or buy because they always follow trends without seeing the motives for their needs, and without paying attention to whether the items purchased are really needed or not. This study aims to analyze the influence of conformity and family economic education on the consumption behavior of High School Students in Mojokerto City. Method: The analysis technique used was multiple linear regression analysis using IBM SPSS 22 software. The number of samples in this study were 323 students. Results: In this study, there are results that there is a partial influence of conformity on consumption behavior, there is a partial influence of family economic education on consumption behavior. Also, there is a simultaneous influence of conformity and family economic education on consumption behavior. The results of this study indicate that all independent variables in this model can be said to be appropriate and significant and have a contribution to the dependent variable. Novelty: This research can provide an overview of the influence of economic education in the family environment and conformity to the consumption behavior of high school students in Mojokerto City.
The Plasticity of Immune Cell Response Complicates Dissecting the Underlying Pathology of Multiple Sclerosis

Multiple sclerosis (MS) is a neurodegenerative autoimmune disease characterized by the destruction of the myelin sheath of the neuronal axon in the central nervous system. Many risk factors, including environmental, epigenetic, genetic, and lifestyle factors, are responsible for the development of MS. It has long been thought that only adaptive immune cells, especially autoreactive T cells, are responsible for the pathophysiology; however, recent evidence has indicated that innate immune cells are also highly involved in disease initiation and progression. Here, we compile the available data regarding the role immune cells play in MS, drawn from both human and animal research. While T and B lymphocytes, chiefly enhance MS pathology, regulatory T cells (Tregs) may serve a more protective role, as can B cells, depending on context and location. Cells chiefly involved in innate immunity, including macrophages, microglia, astrocytes, dendritic cells, natural killer (NK) cells, eosinophils, and mast cells, play varied roles. In addition, there is evidence regarding the involvement of innate-like immune cells, such as γδ T cells, NKT cells, MAIT cells, and innate-like B cells as crucial contributors to MS pathophysiology. It is unclear which of these cell subsets are involved in the onset or progression of disease or in protective mechanisms due to their plastic nature, which can change their properties and functions depending on microenvironmental exposure and the response of neural networks in damage control. This highlights the need for a multipronged approach, combining stringently designed clinical data with carefully controlled in vitro and in vivo research findings, to identify the underlying mechanisms so that more effective therapeutics can be developed.