bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel arc suppression method for single-phase grounding fault considering line voltage drop
Authors: Ding Jingming , Zou Guibin , Zhou Chenghan , Wen Xuhui , Xu Chunhua , Sun Weijie 
Published: November 2022

Abstract
The existing active voltage arc suppression methods don’t consider the influence of line voltage drop, which leads to the existence of large fault residual current at the fault point for low resistance grounding fault occurring in the distribution network and affects the reliable extinguishing of the fault arc. In this paper, an active inverter is used to inject a compensating current to the neutral point of the system before and after the fault, and the distance between the fault point and the bus is calculated, then the reference value of the neutral point voltage which controls the fault point voltage to zero can be obtained. A double closed-loop control strategy of current inner loop and voltage outer loop is used to track the voltage reference value. The simulation results show that the proposed method is independent of the exact zero- sequence admittance value, and not only has a good arc suppression effect under different fault conditions, but also can effectively suppress the harmonic components of the fault current.
Canine umbilical cord tissue derived mesenchymal stem cells naturally express some of the antimicrobial peptides
Authors: Manna Camelia , Das Kinsuk , Mandal Durgadas , Banerjee Dipak , Mukherjee Joydip , Ganguly Indrajit , Naskar Shymal , Bag Sadhan 
Published: November 2022

Abstract
Antimicrobial peptides (AMPs) are naturally produced by all living organisms at a constitutive rate. They represent the first line of active defence systems against invading microorganisms, helping in innate immunity. Besides their therapeutic applications, great attention has also been given to the mesenchymal stem cells (MSCs) due to their antimicrobial activities. The study aimed to observe the expression profile of few antimicrobial peptides (AMPs) in canine MSCs during standard in vitro culture. MSCs were isolated from canine umbilical cord tissue, propagated and characterized by morphology, surface markers and tri-lineage differentiation capability. The mRNA expression of eleven commonly known antimicrobial peptides was checked by Reverse Transcriptase PCR. It has been found for the first time that canine MSCs naturally express the AMPs like CXCL8, Elafin, Hepcidin, Lipocalin 2 and SLPI. However, their relation with antimicrobial effect of canine MSCs needs to be explored.
Food inflation and child undernutrition in low and middle income countries
Authors: Headey Derek , Ruel Marie 
Published: November 2022

Abstract

The 21st Century has been marked by increased volatility in food prices, with global price spikes in 2007-08, 2010-11, and again in 2021-22. The impact of food inflation on the risk of child undernutrition is not well understood, however. This study explores the potential impacts of food inflation on wasting and stunting among 1.27 million pre-school children from 44 developing countries. On average, a 5 percent increase in the real price of food increases the risk of wasting by 9 percent and severe wasting by 14 percent. These risks apply to young infants, suggesting a prenatal pathway, as well as to older children who typically experience a deterioration in diet quality in the wake of food inflation. Male children and children from poor and rural landless households are more severely impacted. Food inflation during pregnancy and the first year after birth also increases the risk of stunting for children 2-5 years of age. This evidence provides a strong rationale for interventions to prevent food inflation and mitigate its impacts on vulnerable children and their mothers.
The Microbiome of Kidney Stones and Urine of Patients with Nephrolithiasis
Authors: Lemberger Ursula , Pjevac Petra , Hausmann Bela , Berry David , Moser Daniel , Jahrreis Victoria , Özsoy Mehmet , Shariat Shahrokh F. , Veser Julian 
Published: November 2022

Abstract
Purpose: The incidence of nephrolithiasis is rising worldwide. Although it is a multifactorial disease, lifestyle plays a major role in its etiology. Another considerable factor could be an aberrant microbiome. In our observational single-center study, we aimed to investigate the composition of bacteria in kidney stones and urine focusing on patients with features of metabolic syndrome.
Material and Methods: Catheterized urine and kidney stones were collected prospectively from 100 consecutive patients undergoing endoscopic nephrolithotomy between 2020 and 2021 at our clinic. Microbiome composition was analyzed via 16S rRNA gene amplicon sequencing.
Results: Detection of bacteria was successful in 24% of the analyzed kidney stones. These patients had a prolonged length of stay compared to patients without verifiable bacteria in their stones (2.9 vs 1.5 days). Patients with features of metabolic syndrome were characterized by kidney stones colonized with classical gastrointestinal bacteria and displayed a significant enrichment of Enterococcacea and Enterobacteriaceae. Stones of patients without features of metabolic syndrome are characterized byUreaplasma and Staphylococcaceae.
Conclusion: Patients with bacteria in their kidney stones exhibit a longer length of stay, possibly due to more complex care. Patients presenting with features of metabolic syndrome displayed a distinct stone microbiome compared to metabolically fit patients. Understanding the role of bacteria in stone formation could enable targeted therapy, prevention of postoperative complications and new therapeutic strategies.
Comprehensive analysis identified and validated BRD4, CHD1, and KDM7A as potential biomarkers for osteoarthritis
Authors: Li Yusheng , Zhang Juntao , Meng Lin , Shang Man , Huo Ruchen , Li Jinzhu , Zhang Chenglong , Fan Fangyang , Yang Cheng , Liu Qi , Jiao Hongzhuo , Li Linzhen , Chai Dejian 
Published: November 2022

Abstract
Background
Osteoarthritis (OA) is a common degenerative joint disease and costly public health problem. Current treatments for OA provide only limited symptomatic benefits. The onset of OA can be a long-term silent process and the articular cartilage will likely have been damaged before the onset of typical symptoms. Therefore, better diagnostic and treatment methods are needed.
Objective
Chromatin regulators (CRs) are a class of regulators of epigenetics and play an important role in OA. However, the mechanisms of CRs in OA are unclear. Identifying and validating signature CRs in OA will assist in the diagnosis and treatment of OA. And it is essential to further explore the potential mechanisms by which CRs intervene in OA.
Methods
Firstly, the publicly available Gene Expression Omnibus database was used to download the OA-related chip data sets GSE55235 and GSE55457. Afterward, we extracted the expression matrix of chromatin regulator-related genes (CRRGs) in the OA-related data sets and screened for differentially expressed CRRGs (DECRRGs). GO and KEGG enrichment analyses were performed on the DECRRGs. Subsequently, we constructed the PPI network and screened for the key cluster network. We used three machine-learning methods to screen for potential biomarkers. Two additional OA datasets (GSE12021 and GSE1919) were used to validate the diagnostic value of these biomarkers. Then we performed an immune cell infiltration analysis. Finally, we explore the potential mechanisms through which these biomarkers intervene in OA in the context of the relevant literature published in PubMed over the last five years.
Results
We obtained the expression matrix for 717 CRRGs. Through differentially expressed analysis, we obtained 85 DECRRGs. By three machine-learning methods, we screened four potential biomarkers. The diagnostic value of these potential biomarkers was evaluated by two additional OA datasets (GSE12021 and GSE1919). Finally, we obtained three biomarkers (BRD4, CHD1, and KDM7A). Through immune cell infiltration analysis, we found that all these biomarkers were significantly associated with mast cells. Through reviewing the relevant literature published in PubMed in the last five years, we have initially revealed the potential mechanisms by which these biomarkers intervene in OA.
Conclusion
BRD4, CHD1, and KMD7A are potential biomarkers of OA. BRD4 may play an important role in the inflammatory response to OA. CHD1 and KDM7A may contribute to altered epigenetic markers in OA by affecting histone modifications. Our study laid the foundation for further studies to follow.
Involuntary Psychiatric Treatment during the Covid-19 Pandemic. An international qualitative study.
Authors: Carbone Agostino , Knapp Martin 
Published: November 2022

Abstract
Aims

Over the past years, the Covid-19 pandemic has had a profound psychological impact on the world population. Recent studies report that in the first months of the lockdown there was a slight decrease in requests for mandatory psychiatric treatment, while, in contrast, following the second wave, the cases increased. The purpose of this research is to investigate the use of compulsory psychiatric treatments in different national contexts in the first and subsequent phases of the Covid-19 pandemic.

Method

Nine key people were interviewed (October and December 2021) among mental health care professionals and scholars in four countries: Italy, Greece, China and Chile. People were asked to express their point of view through a narrative interview on their experience about the motivations, diagnoses and management of patients undergoing an involuntary psychiatric hospitalization.

Results

Data analysis was conducted through Grounded Theory Methodology and highlighted four core themes: a) the culture of psychiatric care services, b) the effect of the pandemic on involuntary hospitalizations, c) exceptional management of hospitalization in order to reduce the spread of infection, d) policies and suggestions for more inclusive mental health treatments.

Conclusion

During the first wave of the pandemic (March-May 2020), respondents reported a general decrease in the use of involuntary treatments, while a gradual increase was found in the following months. Italy extended compulsory psychic treatment to a group of new users, such as young people and adolescents with acute crises, in other realities the main users are psychiatric patients with chronic psychopathologies.
A non-randomised controlled trial to assess the protective effect of SMC in the context of high parasite resistance in Uganda
Authors: Nuwa Anthony , Baker Kevin , Bonnington Craig , Odongo Musa , Kyagulanyi Tonny , Bwanika John Baptist , Richardson Sol , Nabakooza Jane , Achan Jane , Kajubi Richard , Odong David Salandini , Nakirunda Maureen , Magumba Godfrey , Beinomugisha Geofrey , Marasciulo-Rice Madeleine , Abio Hilda , Rassi Christian , Rutazaana Damian , Rubahika Denis , Tibenderana James , Opigo Jimmy 
Published: November 2022

Abstract
Background: Until recently, due to widespread prevalence of molecular markers associated with sulfadoxine-pyrimethamine (SP) and amodiaquine (AQ) resistance in east and southern Africa, seasonal malaria chemoprevention (SMC) has not been used at scale in this region. This study assessed the protective effectiveness of monthly administration of SP+ AQ (SPAQ) to children aged 3–59 months in Karamoja sub-region, Uganda, where parasite resistance is assumed to be high and malaria transmission is seasonal.
Methods:A two-arm quasi-experimental, open-label prospective non-randomised control trial (nRCT) was conducted in three districts. In two intervention districts, 85,000 children aged 3–59 months were targeted to receive monthly courses of SMC using SPAQ during the peak transmission season (May to September) 2021. A third district served as a control, where SMC was not implemented. Communities with comparable malaria attack rates were selected from the three districts, and households with at least one SMC-eligible child were purposively selected. A cohort of 200 children per district were selected and followed using passive surveillance for breakthrough confirmed malaria episodes during the five-month peak transmission season. Malaria incidence rate per person-months and number of malaria episodes among children in the two arms were compared. Kaplan-Meier failure estimates were used to compare the probability of a positive malaria test. Other factors that may influence malaria transmission and infection among children in the two arms were also assessed using multivariable cox proportional hazards regression model.
Results: The malaria incidence rate was 3.0 and 38.8 per 100 person-months in the intervention and control groups, respectively. In the intervention areas 90.0% (361/400) of children did not experience any malaria episodes during the study period, compared to 15% (29/200) in the control area. The incidence rate ratio was 0.078 (95% CI: 0.063–0.096), which corresponds to a protective effectiveness of 92% (95% CI: 90.0–94.0) among children in the intervention area.
Conclusion: SMC using SPAQ provided high protective effect against malaria during the peak transmission season in children aged 3 to 59 months in the Karamoja sub-region of Uganda.
Racial and Ethnic Differences in Self-reported Satisfaction With Fertility Clinics and Doctors
Authors: Wang Ange , Anderson-Bialis Jake , Morris Jerrine R. , Corley Jamie , Anderson-Bialis Deborah , Citro Lauren , Seegulam Muhammad Esa , Fujimoto Victor 
Published: November 2022

Abstract
Objective: To investigate if differences in self-reported satisfaction with fertility clinics and doctors differ by race/ethnicity.
Study Design: We used cross-sectional survey data from FertilityIQ online questionnaires completed by patients receiving U.S. fertility care from July 2015 to December 2020. Univariate and multivariate logistic and linear regression analyses performed to assess association of race/ethnicity on patient reported clinic and physician satisfaction.
Results: Our total sample size included 21,472 patients (15,986 Caucasian, 1,856 Black, 1,780 LatinX, 771 East Asian, 619 South Asian, 273 Middle Eastern, 187 Native American self-reported). When adjusting for all confounders (demographic and patient satisfaction), we found that Black patients rated their doctors more highly (OR 1.30, 95% CI 1.04-1.62 p=0.022 logistic and Coef 0.082, 95% CI 0.013-0.15 p=0.02 linear), while other ethnic groups did not show significant differences compared to Caucasian patients. East Asians had borderline lower satisfaction with clinic satisfaction in logistic regression (OR 0.74 95% CI 0.55-1.00 p=0.05), while significant differences were not found for other ethnic groups for clinic satisfaction.
Conclusions: In summary, some but not all minority groups differed in their self-reported perception of satisfaction with fertility clinic and doctors compared to Caucasian patients. Cultural differences towards surveys may contribute to some of these findings, and satisfaction by racial/ethnic group may also be modified by results of care.
Short Review: Automated Hyperparameter Tuning Methods for High Accuracy Tabular Classification
Authors: Sinha Abhas Kumar 
Published: November 2022

Abstract
The problem of very high-accuracy classification has led to the development of several methods, systems like – XGBoost which often get state-of-the-art on tabular data classification and regression tasks. Deep learning methods on the other hand fail to achieve high accuracy most of the time where – 1. The dataset size is restricted 2. The tabular format of the dataset. We demonstrate custom models that get generated from AutoML systems and automatically tuned for peak hyperparameter settings, perform competitively well, with no human intervention for model creation, hyperparameter tuning, and dataset manipulation tasks to achieve state-of-the-art results compared to other methods and systems out there. We briefly discuss the approaches in AutoML to construct, train and tune deep learning models automatically and discuss the results we got from it on a hackathon competition organized by NCPI.
Quantifying the Capacity Credit of IDC-based Demand Response in Smart Distribution Systems
Authors: Zhang Changhao , Zeng Bo , Li Weikang , Mu Hongwei 
Published: November 2022

Abstract
With the explosive growth of online services, the Internet Data Center (IDC) has been constantly growing, and becoming an emerging load demand in modern power systems. The power consumption of IDCs is believed suitable for demand response (DR) purposes. However, to what extent IDCs could be used as candidate DR resources to provide capacity support are not only dependent on the technical property of IDC equipment but also affected by the willingness of data end-users to participate in the DR program. To address the above issue, this paper presents a methodological framework for quantifying the potential value of IDC-based DR in smart distribution grids. To achieve this, through comprehensive consideration of operational constraints for both data center and power systems, the concept of capacity credit (CC) is introduced and extended into the IDC scenario. The proposed framework explicitly considered the impacts of both uncertainty of user participation intention and the reliability of basic information in the DR process. A novel Z-number based price elasticity uncertainty model is introduced, and then a more realistic evaluation of IDC capacity credit is obtained. Finally, the effectiveness of the proposed model and method is illustrated on a modified IEEE-33 node network, and the obtained results verify the significance of IDC-based DR in enhancing the adequacy of supply in distribution grids.
Case Report: A case of primary intracranial parasagittal meningeal angiosarcoma
Authors: Cao Jun , Fang Jincheng , Jiang Xiaochun , Di Guangfu , Shen Jun 
Published: November 2022

Abstract
Background: Angiosarcoma, also known as malignant hemangioendothelioma, is a rare vasogenic malignant tumor, commonly found on the skin of the head and neck, rarely occurring in the intracranial region.As for intracranial meningeal angiosarcoma, only 7 cases have been reported and there is no clinical study with large sample size. We report here a case of parasagittal meningeal angiosarcoma.
Case Description: A 48-year-old Asian male patient was admitted to our hospital due to headache accompanied by bilateral lower limb weakness. On admission, CT showed a high-density mass on both sides of the sagittal sinus at the top of the frontal lobe. We performed exploratory surgical resection of the tumor. During the operation, it was found that the tumor originated from the dura mater and extensively invaded the surrounding brain tissue and skull, and the surrounding hemosiderin deposition was observed. Postoperative pathology suggested angiosarcoma.
Conclusions: Intracranial meningeal angiosarcoma is difficult to accurately diagnose before surgery, so radiologists and neurosurgeons need to strengthen their understanding of this disease. The presence of extensive superficial hemosiderin deposition during operation may contribute to the diagnosis, and immunohistochemistry is very important for the diagnosis of intracranial angiosarcoma.
Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning
Authors: Jiang Haodi , Li Qin , Hu Zhihang , Liu Nian , Abduallah Yasser , Jing Ju , Xu Yan , Wang Jason T. L. , Wang Haimin 
Published: November 2022

Abstract
Solar activity is often caused by the evolution of solar magnetic fields. Magnetic field parameters derived from photospheric vector magnetograms of solar active regions (ARs) have been used to analyze and forecast eruptive events such as solar flares and coronal mass ejections. Unfortunately, the most recent solar cycle 24 was relatively weak with few large flares, though it is the only solar cycle in which consistent time-sequence vector magnetograms have been available through the Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) since its launch in 2010. In this work, we look into another major instrument, namely the Michelson Doppler Imager (MDI) on board the Solar and Heliospheric Observatory (SOHO) from 1996 to 2010. The data archive of SOHO/MDI covers more active solar cycle 23 with many large flares. However, SOHO/MDI only has line-of-sight (LOS) magnetograms. We propose a new deep learning method, named MagNet, to learn from combined LOS magnetograms, Bx and By taken by SDO/HMI along with Halpha observations collected by Big Bear Solar Observatory (BBSO), and to generate synthetic vector components Bx' and By' of ARs. These generated vector components, together with observational LOS data, would form vector magnetograms for SOHO/MDI. In this way, we can expand the availability of vector magnetograms to the period from 1996 to present. Experimental results demonstrate the good performance of the MagNet method. To our knowledge, this is the first time that deep learning has been used to generate photospheric vector magnetograms of ARs for SOHO/MDI using SDO/HMI and Halpha data.
WITHDRAWN: Novel Gut microbiota as new biomarkers to evaluate the therapeutic effect of different DMARDs in Rheumatoid Arthritis
Authors: Jiang Chunlei , Chi Shuhong , Wang Fengkui , Wu Lihua , Yang Xiaojuan , Liu Miao , Ma Bing , Syed Ubaid , Su Chunxia , Duan Xiangguo 
Published: November 2022

Abstract
Before and after the treatment of RA patients with DMARDs, how the interaction between abnormal intestinal flora and immune cells and cytokines is involved in the pathogenesis of RA remains unclear. Our study found that the α and β diversity of the gut microbiota did not change significantly in the untreated, csDMARDs and csDMARDs + bDMARD-treated RA patients. At the genus level, the relative abundance of Ruminococcaceae_Ruminococcus was decreased in the csDMARDs and csDMARDs + bDMARDs group, while the relative abundance of Faecalibacterium was reduced in the csDMARDs group compared to the untreated group. Ruminococcaceae_Ruminococcus was negatively correlated with Treg and pre-switched memory B cells, while positively correlated with effector memory Tfh and switched memory B cells in RA patients treated with DMARDs. Ruminococcaceae_Ruminococcus was positively interrelated with inflammatory cytokines such as IL-17A, IFN-γ, and TNF-α in RA patients receiving DMARDs. The disturbance of intestinal flora leads to the imbalance of immune cells and cytokines that are involved in the development of RA. Some intestinal flora might be used as novel biomarkers to evaluate the therapeutic effects of different DMARDs. These results provide theoretical support and experimental data for revealing the pathogenesis of RA and finding new targets for RA diagnosis and treatment.
Future precipitation scenario in Bangladesh: A CMIP-6 based analysis
Authors: Ta Abu Tareqe Md , Islam Md. Rabiul , Imran H. M. 
Published: November 2022

Abstract
The goal of this study was to identify the expected changes in precipitation throughout Bangladesh under four shared socioeconomic paths (SSPs) with an observation period of 2021 to 2100. However, the precipitation changes were found to be much higher than the reference period over the Chittagong and Sylhet divisions between 2021 and 2080, and the same was found over Rangpur and Sylhet divisions in the period 2081 to 2100. The highest positive anomaly in annual average maximum precipitation is projected to be 1984 mm in 2081–2100 in Sylhet under the SSP5-8.5, while the highest negative anomaly is found at 611 mm over Khulna under the SSP3-7.0 in 2041–2060. In the study area, the highest positive anomaly of 516 mm under SSP5-8.5 in 2081–2100 and the highest negative anomaly of 216 mm under SSP5-8.5 in 2021–2040 over Barisal and Sylhet were found. The results of the current study suggest that extreme precipitation anomalies in the Khulna, Barisal, and Sylhet divisions may have had an impact on Bangladesh's socioeconomic development at numerous locations in the twenty-first century.