bluuebunny/crossref_metadata_2025_split huggingface dataset:
The spatial distribution of dispersal sources effects how restored habitat is used: a case study on a red-listed wood-dependent beetle
Authors: Djupström Line Boberg , Lindman Ly , Schroeder Martin , Weslien Jan , Ranius Thomas 
Published: May 2022

Abstract
When maintaining and restoring habitat, an important question is whether the spatial distribution of habitat affects its contribution to biodiversity conservation. The most straightforward way to test this is to assess the colonisation and extinction rate of habitat patches with different spatial locations in relation to potential dispersal sources. We did so, testing hypotheses developed within the framework of metapopulation theory. As a study species we used a red-listed beetle, Peltis grossa , which in our study landscape occurs mainly in high-cut stumps of a type routinely created at forestry operations in Sweden. At a per stump level, we analysed colonisation and extinction rates, and presence/absence in relation with high-cut stump succession, quality and connectivity. Most results were consistent with metapopulation theory, including a positive relationship between the colonization rate and a connectivity measure considering the species abundance in the surrounding area. However, the relationship became absent when using a connectivity measure based only on the occurrence of high-cut stumps in the surroundings. Thus, the spatial distribution of conservation efforts is important for this species: restored dead wood habitats are used by this species to a higher extent if situated close to large dispersal sources rather than further away. However, when detailed knowledge about dispersal sources is lacking, as it often is, connectivity is difficult to assess and include in conservation strategies.
Integrated transcriptome and proteome revealed that the declined expression of cell cycle-related genes leads to follicular atresia in geese
Authors: Yang Wanli , Chen Xingyong , Liu Zhengquan , Zhao Yutong , chen Yufei , Geng Zhaoyu 
Published: May 2022

Abstract
Background
Geese exhibited relatively low reproductive performance, and follicular atresia is an important factor that restricts the egg production of geese. Systematic analysis of the regulation of follicle atresia in geese through transcriptome and proteome levels could provide meaningful information on clarifying the mechanism of follicle atresia in poultry.
Result
The granulosa cell layer was loose, disintegrated and showed apoptosis in atretic follicles and remained intact in normal follicles. The hormone levels of FSH and LH were significantly decreased in the atresia follicles compared to the normal follicles (P < 0.05). A total of 954 differentially expressed genes (DEGs, 315 increased and 639 decreased) and 161 differentially expressed proteins (DEPs, 61 increased and 100 decreased) were obtained in atresia follicles compared to normal follicles, of which, 15 genes were differentially expressed in both transcriptome and proteome. The DEGs were mainly enriched in sodium transmembrane transport, plasma membrane, and transmembrane transporter activity based on the GO enrichment analysis and in the cell cycle pathway based on the KEGG enrichment analysis. The DEPs were mainly enriched in localization, lysosome, and phospholipid-binding based on the GO enrichment analysis. Candidate genes Smad2–3, Smad4, Annexin A1 (ANXA1), Stromelysin-1 (MMP3), Serine/threonine-protein kinase (CHK1), DNA replication licensing factor (MCM3), Cyclin-A2 (CCNA2), mitotic spindle assembly checkpoint protein (MAD2), Cyclin-dependent kinase 1 (CDK1), fibroblast growth factor 12 (FGF12), and G1/S-specific cyclin-D1 (CCND1) were possibly responsible for the regulation of atresia.
Conclusion
The cell cycle is an important pathway for the regulation of follicular atresia. Sodium outflow and high expression of MMP3 and MMP9 were important causes of structural destruction and apoptosis of follicular cells.
Recovery from refractory hepatic encephalopathy following angiographic obliteration of a large, spontaneous portal-umbilical portosystemic shunt: a case report
Authors: Ngu Natalie Lee Yee , Saxby Edward , Farmer Caitlin , Lyon Stuart , Le Suong 
Published: May 2022

Abstract
BackgroundHepatic encephalopathy (HE) as a consequence of cirrhosis with portal hypertension has a profound impact on quality of life for both patients and caregivers, has no gold-standard diagnostic test, and is a risk factor for mortality. Spontaneous portosystemic shunts (SPSS) are common in patients with cirrhosis, can be challenging to identify, and in some cases, can drive refractory HE. Cross-sectional shunt size greater than 83mm2 is associated with liver disease severity, overt HE, and mortality. Case presentationWe report a patient with refractory HE and frequent hospitalisation in the context of an occult spontaneous portal-umbilical portosystemic shunt with an estimated cross-sectional area of 809mm2. Following identification and angiographic retrograde transvenous obliteration of the SPSS using plugs, coils and sclerosant, there was improvement in neurocognitive testing and no further hospitalisation for HE. ConclusionSPSS in the context of cirrhosis with portal hypertension can contribute to the debilitating effects of refractory HE. This case highlights the opportunity to search for SPSS in patients with HE unresponsive to therapy as angiographic obliteration is usually safe, well-tolerated, and clinically-effective.
Constraints on the evolution of sexually dimorphic life histories in seasonal environments: A cross-latitude comparison in a damselfly
Authors: Sniegula Szymon , Drobniak Szymon , Berger David , Watts Phillip , Johansson Frank 
Published: May 2022

Abstract
Shared genetic architecture between males and females may constrain independent evolutionary responses to sexually antagonistic selection (SAS), limiting the evolution of sexual dimorphism (SD) and imposing negative fitness consequences in each sex. Environmental change may also directly affect the expression of SD and underlying sex-specific genetic architectures. Here, we estimated the degree of SD and cross-sex genetic (co)variances in life history traits (development time, mass and growth rate until emergence) in progressively more seasonally time-stressed populations of the obligate univoltine damselfly Lestes sponsa originating from low-, central- and high-latitude sites. Populations were cross-reared in a common garden laboratory experiment mimicking the seasonal change in temperature and photoperiod at the latitude of each sampled population. This experimental design allowed us to test the influence of thermo-photoperiod on the genetic and environmental components of SD. Low-latitude populations showed greater SD in mass at emergence and growth rate in support of condition-dependent expression of SD. The thermo-photoperiod did not affect SD in any of the three life-history traits. All traits showed a strong cross-sex genetic correlation, suggesting constraints on optimal trait expression in the presence of SAS. Nevertheless, a trend for the thermo-photoperiod to affect sex-specific genetic variance in development time and growth rate was observed, suggesting a potential for the evolution of SD in response to changing seasonality. These results underline the importance of considering not only population-specific SD in life history traits but also the degree to which the environment affects genetic constraints on sex-specific adaptation.
Risk assessment of heavy metal contaminated vegetables and cereal crops from carpet industrial effluents irrigated areas of northern India
Authors: Singh Prince Kumar , Yadav Jay Shankar , Kumar Indrajeet , Kumar Umesh , Sharma Rajesh Kumar 
Published: May 2022

Abstract
Wastewater is often discharged to natural water bodies through an open channel as well as used by marginal farmers to irrigate agricultural fields, particularly in sub-urban areas of developing countries. In the present study, samples of irrigation water, soil and crops (palak; Beta vulgaris L. var All green H1, radish; Raphanus sativus L., garlic; Allium sativum L., cabbage; Brassica oleracea L. var. capitata, brinjal; Solanum melongena L., paddy; Oryza sativa L. and wheat; Triticum aestivum L.) were collected from the agricultural areas receiving untreated wastewater since a decade from a carpet industrial and residential areas. The contents of Cd, Cr, Cu, Ni, and Zn in the filtrates of water, soil, and crops were determined using an Atomic Absorption Spectrophotometer (Perkin-Elmer AAnalyst 800, USA). Daily intake, hazardous quotient and heavy metal pollution index were computed to assess the health risk associated with the consumption of heavy metal contaminated crops. The mean concentrations of Cd and Zn in B. vulgaris (5.35 µg g-1 dw and 58.41 µg g-1 dw, respectively) and Cr, Cu, and Ni in grains of T. aestivum (16.02 µg g-1 dw, 27.97 µg g-1 dw and 40.74 µg g-1 dw, respectively) were found highest and had exceeded the Indian safe limit. Daily intake of Cu, Ni, and Cr via consumption of cereal crops was found higher than vegetables. The health quotient revealed that the health of local residents is more linked to vegetables than the cereal crops. The present study suggests that necessary regulatory measures should be taken urgently by the controlling authorities for the safe disposal of wastewater in order to reduce the human health risk associated with the degree of heavy metal contaminated suburban food systems.
Prevalence and determinants of hyperuricemia in multi-ethnic Belgian population of inner-city living children and adolescents with obesity
Authors: Nauwynck Elise , Vanbesien Jesse , Staels Willem , Verheyden Stephanie , Rutteman Bart , Weets Ilse , Schepper Jean , Gies Inge 
Published: May 2022

Abstract
PurposeHyperuricemia in childhood obesity associates variably with distinct components of the metabolic syndrome. We aimed to investigate the prevalence of hyperuricemia in an ethnically diverse pediatric obese population in Brussels using age and sex-specific serum uric acid (SUA) reference ranges.Methods We performed a cross-sectional analysis of data from overweight/obese children at Universitair Ziekenhuis Brussel between 2013 and 2017. Hyperuricemia was defined by a SUA above the assay specific and age and gender defined reference range. Results Among 388 children and adolescents, 9% were overweight, 16.2% had class I obesity, 27.8% had class II obesity and 46.9% had class III obesity. Median SUA was 4.8 mg/dL, with 20.6% patients showing an elevated SUA. Degree of general and central obesity, pubertal status, gender, descent and the presence of metabolic syndrome and insulin resistance were not significantly different between those with and without hyperuricemia. Median waist-to-height ratio, serum triglycerides and insulin resistance were significantly higher in Turkish children compared to children of other descent. Conclusion Hyperuricemia was not associated with age, ethnicity, severity of global/central obesity, metabolic syndrome or its components. Future studies should focus on investigating the association with diet composition, obesity duration and the eventual risk for cardiovascular complications.
Evaluation of clinicopathological profiles and development of a risk model in renal epithelioid angiomyolipoma patients: A large-scale retrospective cohort study
Authors: Anwaier Aihetaimujiang , Xu Wen-Hao , Tian Xi , Ding Tao , Su Jia-Qi , Wang Yue , Qu Yuan-Yuan , Zhang Hai-Liang , Ye Ding-Wei 
Published: May 2022

Abstract
Background: To identify the malignant potential and prognostic indicators of renal epithelioid angiomyolipoma (eAML), clinicopathological and molecular features as well as the drug efficacy of 67 eAML cases were analyzed. Materials and Methods: Sixty-seven renal eAML patients were enrolled and the immunohistochemical features of these patients were examined. FFPE slides of all patients were re-examined. 21 patients with metastasis received Everolimus 10 mg orally once daily. Responses were evaluated with RECIST criteria by three authors. A risk stratification model was constructed using the following factors: pT3 and pT4, presence of necrosis, mitotic count≥2; the presence of atypical mitoses; severe nuclear atypia, SMA negative, Ki-67≥10%.Results: The average percentage of the epithelioid component was 85.6% (range, 80%–95%). Immunohistochemically, Ki-67 ≥10% and negative SMA staining were significantly correlated with malignant characteristics (Ki-67: p<0.001; SMA: p=0.001). Survival analysis suggested that tumor size>7cm, pT3-pT4 stage, pN1 stage, presence of necrosis, severe nuclear atypia, presence of atypical mitoses, mitotic count >=2, Ki-67 ≥10% and negative SMA expression were significantly associated with poorer PFS and OS (p<0.05). The risk model sufficiently discriminated recurrence/metastasis (AUC=0.897) and cancer-specific mortality (AUC=0.932) of renal eAML patients in different risk groups. 21 patients had received Everolimus targeted therapy after recurrence/metastasis. The best response for Everolimus treatment was 8/21 (38.1%) partial responses (PR), 9/21 (42.9%) stable disease (SD) and 4/21 (19.0%) progressive disease (PD).Conclusion: The risk stratification model could well distinguish eAML patients at high risk of recurrence/metastasis. Everolimus targeted treatment showed good efficacy in patients with recurrence/metastasis.
An efficient multi-receiver synthetic aperture sonar imaging algorithm for large data in heterogeneous environment
Authors: Zhong Heping , Zhou Zhiming , Zhang Peng , Tang Jinsong 
Published: May 2022

Abstract
Synthetic aperture sonar is one kind of high resolution imaging sonar, which has been widely used in both military and civil applications. However, with the continuous improvement of imaging resolution, the amount of data processed per unit time is increasing, which seriously affects the application of synthetic aperture sonar. After analyzing the characteristics of each processing step of range Doppler imaging algorithm, such as range compression, fixed phase compensation, range cell migration compensation and azimuth compression, an efficient imaging algorithm in heterogeneous environment is proposed in this paper. CPU is mainly responsible for the control of the imaging process, while GPU is responsible for the intensive computation during the imaging processing process, which jointly realize the improvement of imaging efficiency. In order to eliminate the limitation of GPU memory, we proposed a blocking strategy, which can effectively improve the adaptability of the proposed imaging algorithm. We divide the key processing steps into blocks according to the data, upload the local data blocks to GPU memory in turn, and download them to the host memory after been processed, which can effectively avoid the limitation of GPU memory for large data processing. In order to verify the performance of the proposed algorithm, simulation imaging experiment is used to verify the correctness of the parallel imaging algorithm, real synthetic aperture sonar data imaging experiments are used to verify the efficiency of the proposed algorithm, and blocked parallel imaging processing with different number of pulse is simulated to verify the correctness and efficiency. The experimental results show that the real time acceleration rate of the proposed algorithm is above 14, which can meet the signal processing requirements of real time synthetic aperture sonar imaging system.
Nonreciprocal Charge Transport in Topological Kagome superconductor CsV3Sb5
Authors: Li Jun , Qi Yanpeng , Wu Yueshen , Wang Qi , Zhou Xiang , Wang Jinghui , Dong Peng , He Jiadian , Ding Yifan , Teng Bolun , Zhang Yiwen , Li Yifei , Liu Jianpeng , Watanabe Kenji , Taniguchi Takashi 
Published: May 2022

Abstract
Nonreciprocal charge transport phenomena are widely studied in two-dimensional superconductors, which demonstrates unidirectional anisotropy behaviors as a result of symmetry breaking. Here, we report a strongly nonreciprocal transport phenomenon in superconducting CsV3Sb5 thin flakes. The second harmonic voltage, mainly originates from the rectification effect of vortex motion, is unambiguously developed with in-plane and out-of-plane magnetic fields, and its magnitude is comparable to that in noncentrosymmetric superconductors. The second harmonic magnetoresistance splits into several peaks and some of them reverse their sign by ramping the magnetic field or current within the superconducting transition. The vortex dynamics for the specifically nonreciprocal transport phenomenon is dominated by an unconventional superconductivity pairing symmetry, providing a promising path to explore the possible topological superconductivity in CsV3Sb5.
Pre-processing of datasets with best feature selection and outlier removal techniques for a fair and robust model of software defect prediction
Authors: Singh Shiva , Haider Md Tanwir Uddin 
Published: May 2022

Abstract
In software engineering, the most demanding task is to predict soft- ware defects. Usually, for predicting defects machine learning techniques are required. As we know in machine learning, datasets play a vital role on par with code. Before applying these techniques pre-processing of data is required for improving the model training process along with making fair and robust models. Pre-processing of the dataset is also done to achieve better accuracy and minimum execution time. In today’s scenario main challenge is to make the dataset fair with the help of pre-processing. Seeing this fact in this paper, we investigate the result of the data pre-processing with the help of best feature selec- tion along with different outlier removal techniques using four different machine learning classifiers and compared the result with the existing state-of-the-art methods. The techniques used for pre-processing include feature selection which is a Hybrid technique combination of Sequen- tial forward selection(SFS) and Sequential backward selection(SBS) developed by us and outlier removal techniques which are IQR, Z- score, Isolation Forest, and DBSCAN. Our findings suggest that the accuracy for module-based defect prediction increases when we pre- processed the dataset by applying feature selection with the outlier removal technique as compared to the feature selection technique only.
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India
Authors: Masood Adil , Ahmad Kafeel 
Published: May 2022

Abstract
Over the past few years, the concentration of fine particulate matter (PM2.5) in Delhi’s atmosphere has progressively increased, resulting in smog episodes and affecting people’s health. Therefore, accurate and reliable forecasting of PM2.5 concentration is essential to guide effective precautions before and during extreme pollution events. In this work, soft computing techniques, including Artificial Neural Network (ANN) and Gaussian Process Regression (GPR) are employed to predict PM2.5 concentrations in Delhi. Four models, namely, multi-layer feed-forward neural network (MLFFNN), General regression neural network (GRNN), Gaussian progression regression with ARD squared exponential kernel(GPARD_sqexp) and Gaussian progression regression with ARD rational quadratic kernel (GPARD_rat_quad) are built using meteorological and air quality data corresponding to a two-year period (2015-2016). The results of the study suggested that MLFFNN showed the best prediction performance among the four models, with testing correlation coefficient (R) 0.949, Root mean square error (RMSE) 30.193, Nash-Sutcliffe efficiency index (NSE) 0.892 and Mean absolute error (MAE) 18.388. Moreover, sensitivity analysis performed to understand the importance of different input variables reported that PM10, wind speed, AQI and Z0 are the most critical parameters influencing MLFFNN model forecasts. On the whole, the work has demonstrated that the artificial neural network model is more capable of dealing with PM2.5 forecasting in Delhi urban area than the Gaussian process regression model.
TSLP induces platelet mitophagy and promotes thrombosis in Kawasaki disease
Authors: Fu Lanyan , MacKeigan Daniel Thomas , Gong Qing , Che Di , Xu Yufen , Pi Lei , Sun Chaonan , Yu Hongyan , Chen Kaining , Zhou Huazhong , Jiang Zhiyong , Wang Zhouping , Zhang Li , Cerenzia Eric G. , Ni Heyu , Gu Xiaoqiong 
Published: May 2022

Abstract
Background
Kawasaki disease (KD) is an acute systemic vasculitis primarily affecting infants and children with an unclear etiology. Coronary artery aneurysm (CAA) is a common manifestation in severe KD patents, which may lead to thrombotic cardiovascular events such as heart attack and stroke even years after onset. We and others have previously reported systemic platelet activation in KD patients. Thymic stromal lymphopoietin (TSLP) is a recently identified interleukin-7 (IL-7) like cytokine associated with promoting pathological inflammation and most notably, platelet activation. The present study is to investigate the role of TSLP in KD-associated thrombosis.
Methods
To discover potential proteins underlying platelet activation in KD, we conducted a protein chip assay of 34 cytokines and discovered a significant upregulation in thymus stromal lymphopoietin (TSLP). ELISA corroborated the upregulation of TSLP in another group of KD patients. Clinical samples (plasma and platelets) from KD patients and healthy controls were analyzed via flow cytometry, immunofluorescent confocal microscopy, western blot, immunoprecipitation and thrombosis assays to reveal the underlying mechanisms.
Results
Among the 34 cytokines, we discovered several were aberrantly expressed, nine of which were continuously elevated after IVIG treatment and maintained during the convalescence in KD patients compared to healthy controls, including TSLP. The upregulation of TSLP in KD patients was confirmed by ELISA, which showed a further increase of TSLP in convalescent patients complicated with thrombosis. The expression of TSLP receptors (TSLPRs) on platelets were also significantly upregulated in KD patients complicated with thrombosis. Platelet activation, apoptosis, and mitochondrial autophagy (mitophagy) were increased in KD patients, which increase was exacerbated in convalescent patients complicated with thrombosis. In vitro, TSLP induced platelet activation and platelet mitophagy in healthy blood donors as we observed in KD patients. TSLP, similar to mitophagy agonist CCCP, promoted thrombosis, which was attenuated by the mitophagy inhibitor Mdivi-1. Co-immunoprecipitation in TSLP-treated platelets revealed TSLPR bound to mitophagy regulators, Parkin and VDAC1, suggesting a potential novel TSLP-mediated platelet mitophagy pathway.
Conclusions
Our results demonstrate that TSLP induces platelet mitophagy via a novel TSLPR/Parkin/VDAC1 mitophagy pathway that promotes thrombosis in KD. These results suggest TSLP as a novel therapeutic target against KD-associated thrombosis.