Miracle-dz/UniFAR-FTUs huggingface dataset:
Biallelic Variants in CFAP61 Cause Multiple Morphological Abnormalities of the Flagella and Male Infertility

Multiple morphological abnormalities of the flagella (MMAF) can lead to male infertility due to impaired sperm motility and morphology. Calmodulin- and spoke-associated complex (CSC) are known for their roles in radial spoke (RS) assembly and ciliary motility in Chlamydomonas, while the role of cilia- and flagella-associated protein 61 (CFAP61), a mammalian ortholog of the CSC subunits, in humans is yet unknown. Here, we recruited three unrelated Pakistani families comprising of 11 infertile male patients diagnosed with MMAF. CFAP61 variants, c. 451_452del (p.I151Nfs*4) in family 1 and c.847C > T (p.R283*) in family 2 and 3, were identified recessively co-segregating with the MMAF phenotype. Transmission electron microscopy analyses revealed severe disorganized axonemal ultrastructures, and missings of central pair, RSs, and inner dynein arms were also observed and confirmed by immunofluorescence staining in spermatozoa from patients. CFAP61 and CFAP251 signals were absent from sperm tails of the patients, which suggested the loss of functional CSC in sperm flagella. Altogether, our findings report that homozygous variants in CFAP61 are associated with MMAF and male infertility, demonstrating the essential role of this gene in normal sperm flagellum structure in humans.
Interpretable Model Based on Pyramid Scene Parsing Features for Brain Tumor MRI Image Segmentation

Due to the black box model nature of convolutional neural networks, computer-aided diagnosis methods based on depth learning are usually poorly interpretable. Therefore, the diagnosis results obtained by these unexplained methods are difficult to gain the trust of patients and doctors, which limits their application in the medical field. To solve this problem, an interpretable depth learning image segmentation framework is proposed in this paper for processing brain tumor magnetic resonance images. A gradient-based class activation mapping method is introduced into the segmentation model based on pyramid structure to visually explain it. The pyramid structure constructs global context information with features after multiple pooling layers to improve image segmentation performance. Therefore, class activation mapping is used to visualize the features concerned by each layer of pyramid structure and realize the interpretation of PSPNet. After training and testing the model on the public dataset BraTS2018, several sets of visualization results were obtained. By analyzing these visualization results, the effectiveness of pyramid structure in brain tumor segmentation task is proved, and some improvements are made to the structure of pyramid model based on the shortcomings of the model shown in the visualization results. In summary, the interpretable brain tumor image segmentation method proposed in this paper can well explain the role of pyramid structure in brain tumor image segmentation, which provides a certain idea for the application of interpretable method in brain tumor segmentation and has certain practical value for the evaluation and optimization of brain tumor segmentation model.
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions

The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 and SRTM) and medium (Sentinel-2 and ALOS) spatial resolution data on wildfire susceptibility prediction using random forest (RF) and support vector machine (SVM) models. In addition, we investigate the fusion of the predictions from the different spatial resolutions using the Dempster–Shafer theory (DST) and 14 wildfire conditioning factors. Seven factors are derived separately from the coarse and medium spatial resolution datasets for the whole forest area of the Guilan Province, Iran. All conditional factors are used to train and test the SVM and RF models in the Google Earth Engine (GEE) software environment, along with an inventory dataset from comprehensive global positioning system (GPS)-based field survey points of wildfire locations. These locations are evaluated and combined with coarse resolution satellite data, namely the thermal anomalies product of the moderate resolution imaging spectroradiometer (MODIS) for the period 2009 to 2019. We assess the performance of the models using four-fold cross-validation by the receiver operating characteristic (ROC) curve method. The area under the curve (AUC) achieved from the ROC curve yields 92.15% and 91.98% accuracy for the respective SVM and RF models for the coarse RS data. In comparison, the AUC for the medium RS data is 92.5% and 93.37%, respectively. Remarkably, the highest AUC value of 94.71% is achieved for the RF model where coarse and medium resolution datasets are combined through DST.
MOO-DNAS: Efficient Neural Network Design via Differentiable Architecture Search Based on Multi-Objective Optimization

The progress devoted to improving the performance of neural networks has come at a high price in terms of cost and experience. Fortunately, the emergence of Neural Architecture Search improves the speed of network design, but most excellent works only optimize for high accuracy without penalizing the model complexity. In this paper, we propose an efficient CNN architecture search framework, MOO-DNAS, with multi-objective optimization based on differentiable neural architecture search. The main goal is to trade off two competing objectives, classification accuracy and network latency, so that the search algorithm is able to discover an efficient model while maintaining high accuracy. In order to achieve a better implementation, we construct a novel factorized hierarchical search space to support layer variety and hardware friendliness. Furthermore, a robust sampling strategy named “hard-sampling” is proposed to obtain final structures with higher average performance by keeping the highest scoring operator. Experimental results on the benchmark datasets MINST, CIFAR10 and CIFAR100 demonstrate the effectiveness of the proposed method. The searched architectures, MOO-DNAS-Nets, achieve advanced accuracy with fewer parameters and FLOPs, and the search cost is less than one GPU-day.
Basic problem on emergency disposition of abrupt heavy geological disaster

Emergency disposition of geological disaster is a key link of emergency response of the disaster and a emeragent disaster-mitigating action based on geological hazard or disaster situation.Implementation of the emergency disposition find expression in six "quickness",i.e."investigate, monitor,determine the nature,demonstrate plan for engineering control,make decision and put into effect all quickly". It is pointed out that there are some theoretical problems in six response stages,and put forward that scientists and technical experts must have knowledge of policy and law,scientific theory,engineering means,working procedures and social development state for carrying out emergency response based on author's personal experience for more than ten years.Finally,some(emergency) examples are introduced that consists of emergency disposition for violent landslide risk situation(grade Ⅰ emergence response) and for larger loess slope breakdown(grade Ⅱ emergence response).
Association Between Trypanosoma cruzi DNA in Peripheral Blood and Chronic Chagasic Cardiomyopathy: A Systematic Review

Chronic chagasic cardiomyopathy (CCC) is the most important complication of patients with Chagas disease (CD). The role of persistent detection of DNA in peripheral blood and its association to CCC is unknown. We performed a systematic review up to July 2021, including studies that reported ratios of CCC and PCR positivity among non-treated adult patients. We identified 749 records and selected 12 for inclusion corresponding to 1,686 patients. Eight studies were performed in endemic countries and 4 in non-endemic countries. Only two studies showed an association between CCC and Trypanosoma cruzi parasitemia by means of PCR detection. Six studies reported greater positive PCR ratios among patients with CCC than in the patients with indeterminate chagas disease (ICD) with no statistical significance. A significant risk of bias has been detected among most of the studies. Therefore, while we performed a meta-analysis, wide inter-study heterogeneity impeded its interpretation. Conclusions With the available information, we could not establish a correlation between PCR-detectable parasitemia and CCC. Systematic Review Registration: https://www.crd. york.ac. uk/prospero/display_record. php? ID=CRD42020216072, identifier: CRD42020216072.
Assessment of Oral Health Status among Orphanage Children (Underprivileged Population): A Descriptive Cross-Sectional Study

INTRODUCTION: An orphan is a child under 18 year who has lost both parents or has been abandoned by them. Such children are deprived of the parental love and care and get little health care as well as their oral cavity is generally neglected. AIM: To assess the dental caries experience, oral hygiene status and periodontal status among the orphanage children in Prakasam District, Andhra Pradesh, India. MATERIALS AND METHOD: A cross sectional study among 485 orphan children of various institutes ranged from 12 to 16 years where WHO oral health assessment form 2013 was used and chi- square test and descriptive statistics test were used for statistical analysis by using SPSS 22.0 software. RESULTS: It was seen that 73.4% were having dental caries and the mean DI-S scores, CI-S scores and OHI-S scores were 1.41 ±0.47, 1.07 ±0.47 and 2.48 ±0.92 respectively. The prevalence and severity of gingival bleeding was found to be more i.e.64.7% among them. CONCLUSION: Majority of orphan children were suffering from oral problems. Oral health fraternity should actively involve with other parts of the community in order to maintain oral care of this group.
Climax as Work: Heteronormativity, Gender Labor, and the Gender Gap in Orgasms

Gender scholars have addressed a variety of gender gaps between men and women, including a gender gap in orgasms. In this mixed-methods study of heterosexual Canadians, we examine how men and women engage in gender labor that limits women’s orgasms relative to men. With representative survey data, we test existing hypotheses that sexual behaviors and relationship contexts contribute to the gender gap in orgasms. We confirm previous research that sexual practices focusing on clitoral stimulation are associated with women’s orgasms. With in-depth interview data from a subsample of 40 survey participants, we extend this research to show that both men and women engage in gender labor to explain and justify the gender gap in orgasms. Relying on an essentialist view of gender, a narrow understanding of what counts as sex, and moralistic language that recalls the sexual double standard, our participants craft a narrative of women’s orgasms as work and men’s orgasms as natural. The work to produce this gendered narrative of sexuality mirrors the gender labor that takes place in the bedroom, where both women and men engage in sexual behaviors that emphasize men’s pleasure to a greater extent than women’s.
Immunohistochemical features of canine ovarian papillary adenocarcinoma and utility of cell block technique for detecting neoplastic cells in body cavity effusions

Dogs with ovarian papillary adenocarcinoma occasionally present with ascites and/or pleural effusion. These aspirated fluids often contain a large number of cells, and distinction between neoplastic cells and activated mesothelial cells can be difficult. In this study, 7 cases of canine ovarian papillary adenocarcinoma, including 3 with ascites and pleural effusion, were immunohistochemically examined. Ovarian tumor cells were positive for cytokeratin CAM5.2 (CAM5.2), Wilms’ tumor 1 (WT-1) and progesterone receptor (PR) in all 7 cases. A metastatic lesion of the mediastinum in one case was also positive for CAM5.2, WT-1 and PR. Immunohistochemistry on cell blocks obtained from ascites and/or pleural effusion of 2 cases revealed the presence of PR-positive epithelial cells. Whereas, activated mesothelial cells in ascites or pleural effusion collected from dogs without neoplastic lesions were negative for PR. In addition, surface epithelium and subsurface epithelial structures (SES) of normal canine ovaries, that are considered to be the cell of origin for ovarian papillary adenocarcinoma, were also positive for CAM5.2, WT-1 and PR. These results indicate that, together with CAM5.2, WT-1 and PR is a useful diagnostic marker for canine ovarian papillary adenocarcinoma. Expression of PR may be associated with progesterone-dependent nature of canine ovarian papillary adenocarcinoma.
Impact of Sequential Lipid Meals on Lymphatic Lipid Absorption and Transport in Rats

The sequential meal pattern has recently received more attention because it reflects a phycological diet style for human beings. The present study investigated the effects of the second lipid meal on lymphatic lipid absorption and transport in adult rats following a previous lipid meal. Using the well-established lymph fistula model, we found that the second lipid meal significantly increased the lymphatic output of triglycerides, cholesterol, phospholipids, and non-esterified fatty acids compared with a single lipid meal. Besides that, the time reaching the peak of each lipid output was significantly faster compared with the first lipid meal. Additionally, the second lipid meal significantly increased the lymphatic output of apolipoprotein A-IV (ApoA-IV), but not apolipoprotein B-48 (ApoB-48) or apolipoprotein A-I (ApoA-I). Interestingly, the triglyceride/apoB-48 ratio was significantly increased after the second lipid meal, indicating the increased chylomicron size in the lymph. Finally, the second lipid meal increased the lymphatic output of rat mucosal mast cell protease II (RMCPII). No change was found in the expression of genes related to the permeability of lymphatic lacteals, including vascular endothelial growth factor-A (Vegfa), vascular endothelial growth factor receptor 1 (Flt1), and Neuropilin1 (Nrp1). Collectively, the second lipid meal led to the rapid appearance of bigger-sized chylomicrons in the lymph. It also increased the lymphatic output of various lipids and apoA-IV, and mucosal mast cell activity in the intestine.
Sustainable relationship between FDI, R&D, and CO2 emissions in emerging markets: An empirical analysis of BRICS countries

This paper empirically analyzes sustainable relations between inward FDI (IFDI), outward FDI (OFDI), the R&D expenditure ratio and CO2 emissions based on balanced panel data from the BRICS (namely, Brazil, Russia, India, China and South Africa) countries for the period 2003–2017. Generally, the results confirm a negative effect of IFDI and a positive effect of OFDI on the R&D expenditure ratio, both with statistical significance. Further exploration of the IFDI, OFDI and R&D impacts on CO2 emissions was based on an assumption that innovation development mitigates environmental pollution. The research outcome revealed positive associations between IFDI and the R&D expenditure ratio with CO2 emissions, showing the connection of environmental pollution to growth-focused national economic strategies. Based on these results, we recommend the following policies: (1) rethinking domestic industries protectionism trends and research support to enhance FDI spillover effects, (2) the drafting of New Development Bank specific environment-friendly investment programs aimed at innovation activities, and (3) looking into further easing the green technologies from developed countries.
Association of Higher Educational Attainment on Antenatal Care Utilization Among Pregnant Women in East Africa Using Demographic and Health Surveys (DHS) from 2010 to 2018: A Multilevel Analysis

Introduction The use of antenatal care (ANC) plays a major role in minimizing maternal and child mortality through effective and appropriate screening, preventive, or treatment intervention. Even though almost all pregnancy-related mortalities are largely preventable through adequate use of ANC, sub-Saharan Africa (SSA), particularly East African Countries, continues to share the largest share of global maternal, and newborn mortality. Therefore, this study assesses if educational attainment is associated with optimal ANC utilization in East Africa. Methods A secondary data analysis was done based on Demographic and Health Surveys (DHS) from 2010 to 2018 in the 11 East African Countries. A total weighted sample of 84,660 women who gave birth in the 5 years preceding each country’s DHS survey and had ANC visits were included in this study. Data processing and analysis were performed using STATA 15 software. A multilevel mixed-effect logistic regression model was fitted to examine the association of educational attainment and ANC utilization. Variables with a p-value <0.05 were declared as significant factors associated with ANC utilization. Model comparison was done based on Akaike and Bayesian Information Criteria (AIC and BIC). Results The magnitude of optimal ANC utilization in East African Countries was 56.37% with 95% CI (56.03, 56.69) with the highest optimal ANC utilization in Zimbabwe (80.96%) and the lowest optimal ANC utilization in Rwanda (44.31%). Women who had higher education levels were more likely to have optimal ANC utilization, compared to those with no education (AOR = 2.34; 95 and CI; 2.11–2.59). Women who had media exposure were more likely to have optimal ANC utilization than those who have no media exposure (AOR = 1.07; 95% CI; 1.03, 1.10). Conclusion Antenatal care utilization was low in East African countries. Educational attainment, maternal age, wealth index, birth order, media exposure, and living countries were factors associated with ANC utilization. Efforts to improve antenatal care and other maternal health service utilization in East Africa must take into account these factors. Specifically, working on the access to mass media by women may also improve antenatal care utilization.
Secondary organic aerosol and organic nitrogen yields from the nitrate radical (NO3) oxidation of alpha-pinene from various RO2 fates

Abstract. The reaction of α-pinene with NO3 is an important sink of both α-pinene and NO3 at night in regions with mixed biogenic and anthropogenic emissions; however, there is debate on its importance for secondary organic aerosol (SOA) and reactive nitrogen budgets in the atmosphere. Previous experimental studies have generally observed low or zero SOA formation, often due to excessive [NO3] conditions. Here, we characterize the SOA and organic nitrogen formation from α-pinene + NO3 as a function of nitrooxy peroxy (nRO2) radical fates with HO2, NO, NO3, and RO2 in an atmospheric chamber. We show that SOA yields are not small when the nRO2 fate distribution in the chamber mimics that in the atmosphere, and the formation of pinene nitrooxy hydroperoxide (PNP) and related organonitrates in the ambient atmosphere can be reproduced. Nearly all SOA from α-pinene + NO3 chemistry derives from the nRO2+ RO2 pathway, which alone has an SOA mass yield of 56 (±7) %. Molecular composition analysis shows that particulate nitrates are a large (60 %–70 %) portion of the SOA and that dimer formation is the primary mechanism of SOA production from α-pinene + NO3 under simulated nighttime conditions. Synergistic dimerization between nRO2 and RO2 derived from ozonolysis and OH oxidation also contribute to SOA formation and should be considered in models. We report a 58 (±20) % molar yield of PNP from the nRO2+ HO2 pathway. Applying these laboratory constraints to model simulations of summertime conditions observed in the southeast United States (where 80 % of α-pinene is lost via NO3 oxidation, leading to 20 % nRO2+ RO2 and 45 % nRO2+ HO2), we estimate yields of 11 % SOA and 7 % particulate nitrate by mass and 26 % PNP by mole from α-pinene + NO3 in the ambient atmosphere. These results suggest that α-pinene + NO3 significantly contributes to the SOA budget and likely constitutes a major removal pathway of reactive nitrogen from the nighttime boundary layer in mixed biogenic–anthropogenic areas.
Adaptive Batch Size Selection in Active Learning for Regression

Training supervised machine learning models requires labeled examples. A judicious choice of examples is helpful when there is a significant cost associated with assigning labels. This article improves upon a promising extant method – Batch-mode Expected Model Change Maximization (B-EMCM) method – for selecting examples to be labeled for regression problems. Specifically, it develops and evaluates alternate strategies for adaptively selecting batch size in B-EMCM. By determining the cumulative error that occurs from the estimation of the stochastic gradient descent, a stop criteria for each iteration of the batch can be specified to ensure that selected candidates are the most beneficial to model learning. This new methodology is compared to B-EMCM via mean absolute error and root mean square error over ten iterations benchmarked against machine learning data sets. Using multiple data sets and metrics across all methods, one variation of AB-EMCM, the max bound of the accumulated error (AB-EMCM Max), showed the best results for an adaptive batch approach. It achieved better root mean squared error (RMSE) and mean absolute error (MAE) than the other adaptive and non-adaptive batch methods while reaching the result in nearly the same number of iterations as the non-adaptive batch methods.
A comparison of dietary isotopes in pulp stones and incremental dentine from Early Neolithic individuals of the Whitwell Long Cairn, England

Abstract Objectives This study investigates if palaeodietary information can be obtained from pulp stones through stable isotope analysis, presents a method for their extraction from tooth samples, and assesses their utility as a source of paleodietary information when coupled with the incremental dentine method. Materials and Methods Six tooth samples (2 per individual), four of which contained pulp stones, were selected from three Early Neolithic (3720–3650 cal BC) individuals from the Whitwell Long Cairn in Derbyshire, England. After demineralization, each tooth was divided into 1 mm increments. Stable isotope analysis of collagen was conducted on each dentine increment and a portion of each pulp stone. Results All samples met the quality control criteria for well‐preserved collagen. Excluding the pulp stones, the mean δ13C value of the teeth sampled was −21.5 ± 0.2‰ and the mean δ15N value was 9.9 ± 0.5‰, suggesting these individuals had a terrestrial‐based diet. The pulp stones produced similar δ13C values between −21.6 and −21.4‰ and δ15N values between 9.1 and 9.8‰. Discussion The results demonstrate that paleodietary information can be obtained from pulp stones through stable isotope analysis. There are, however, significant challenges in interpreting this data, particularly as to inferring the timing and duration of their formation. The pulp stone results were compared with the incremental dentine profiles for each person to further investigate when they might have formed. For two individuals, the pulp stones appear to reflect diet from a time period after childhood and adolescence. For the third individual, it could not be determined if the pulp stones reflect a contemporary or later time period than the incremental dentine series. All teeth with pulp stones have moderate to severe wear on the occlusal surface, which could have been a contributing factor to their development.