bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Approach for Software Defect Prediction using CNN and GRU Based on SMOTE Tomek Method
Authors: Khleel Nasraldeen
Published: November 2022

Software defect prediction (SDP) plays an important role in enhancing the quality of software projects and reducing maintenance-based risks through the ability to detect defective software components. SDP refers to the methods that use historical defect data to build the relationship between software metrics and software defects. Several prediction models such as machine learning (ML), deep learning (DL) have been developed and adopted to recognize defect in software modules and many methodologies and frameworks have been presented. One of the most difficult problems that these models face in binary classification is the classes imbalance. When the distribution of classes is unbalanced, the accuracy may be high, but the model cannot recognize data instances in the minority class, this will lead to weak classifications. So far, few research have been done in the previous studies that address the problem of class imbalance in SDP. To address the class imbalance problem, we propose a novel SDP approach based on convolutional neural network (CNN) and gated recurrent unit (GRU) combined with synthetic minority oversampling technique plus Tomek link (SMOTE Tomek). To establish the efficiency of the proposed models, the experiments have been conducted on benchmark datasets which obtained from the PROMISE repository and the experimental results have been compared and evaluated in terms of accuracy, precision, recall, f-measure, the area under the ROC curve (AUC), the area under the precision-recall curve (AUCPR), mean square error (MSE). The average accuracy of the proposed models on the original datasets were 89% for CNN and 87% for GRU, while the average accuracy of the proposed models on the balanced datasets were 94% for CNN and 92% for GRU. The results showed that the proposed models on the balanced datasets improves the average accuracy by 5% for both models compared to original datasets. This indicates the positive effects of combining ML techniques with data balancing methods on the performance of defect prediction regarding datasets with imbalanced class distributions.
The quantification of 3D-trabecular architecture of the fourth cervical vertebra using CT osteoabsorptiometry and micro-CT
Authors: Poilliot Amélie , Gay Max , Müller-Gerbl Magdalena
Published: November 2022

Background
Bone functional adaptation rationalizes the inhomogeneous morphology found in bone. By means of computed tomography osteoabsorptiometry and micro-computed tomography, the mineralisation of the subchondral endplates and trabecular microstructure of vertebral bodies can be assessed to visualise the chronic loading conditions bone endures over time. In this study, we determined cancellous and compartment-specific trabecular architecture in the cervical vertebra to aid with successful integration of orthopaedic implants.
Methods
We examined the micro-computed tomography scans of seven prospectively healthy C4 vertebrae, evaluated their microstructure parameters (bone volume fraction (BV/TV), bone surface density (BS/BV), trabecular thickness (Tb.Th), trabecular separation (Tb.Sp), trabecular number per volume (Tb.N), connectivity density (Conn.D), structure model index (SMI), and degree of anisotropy (DA), and compared the trabecular architecture in twelve predefined volumes of interest; the cranial and caudal 0–10%, 10–15%, and 25–50% in both the ventral and dorsal half. Using computed tomography osteoabsorptiometry, the subchondral bone mineralisation of the subchondral endplates of nine C4 vertebrae was also evaluated.
Results
Highest mineralisation is located dorsally at the endplates. Tb.Sp and Tb.N were the only two parameters that displayed significant differences in averaged values of VOI. Nonetheless, distinct, consistent ventral-dorsal modulations were seen in matched sample ventral-dorsal comparison in the BV/TV, BS/BV, and SMI overall levels, as well as in Tb.Th in the three caudal levels. To simplify the vertebra was split into ventral-cranial, dorsal-cranial, ventral-caudal, and dorsal-caudal equal quarters. The ventral quarters display higher BV/TV, respectively lower BS/BV and SMI than their sample paired dorsal quarters. The ventral-cranial quarter shows the lowest BV/TV and the highest BS/BV and SMI, describing spacious cancellous bone with rod-like trabeculae. In contrast, the dorsal-caudal quarter exhibits the highest BV/TV and Tb.Th and the lowest BS/BV and SMI, illustrating thicker, denser, and more plate-like trabecula. The dorsal-cranial and ventral-caudal quarters are comparable and represent intermediate characteristics.
Conclusions
Our results suggest that the strongest part is the caudal dorsal part, and the weakest is the cranial ventral one. Recommend placement of orthopaedic implants, should be positioned dorsally with screws anchored in the dorsal-caudal region.
Prevalence and genotype distribution of HPV infection among women in Xiamen, China
Authors: Shen Ye , Huang Yanru , Wang Wenbo , Zhang Jian , Chen Xiaolu , Zhang Lutan , Huang Xiaomei , Ge Yunsheng
Published: November 2022

Objective: Cervical cancer is extremely associated with human papillomavirus (HPV) infection and genotype distribution of HPV varies geographic regions. This study aimed to evaluate the prevalence of HPV and genotype distribution among female populations in Xiamen, Fujian Province, which can be conducive for local government to formulate cervical cancer screening and HPV vaccine strategies.
Methods: Clinical specimens were collected from 47926 participants aged 16-92 years at Women and Children’s Hospital, Xiamen University from November 2019 to June 2020. HPV DNA was extracted and detected by a conventional PCR method followed by HPV subtype-specific hybridization. The HPV infection rates based on different groups were compared by the c2 test. HPV prevalence and corresponding 95% confidence intervals (95% CI) were calculated by SPSS 19.0.
Results: The overall HPV prevalence among 47926 cervical swabs analyzed was 15.13%, of which single, double, and multiple infections accounted for 12.07%, 2.25% and 0.81%. The age-specific prevalence of HPV infection presented a “U” curve with an HPV prevalence peak observed in women aged <20. The gynecology clinic group had significant higher HPV positive rates compared with health examination group (P<0.001). The five most common HR-HPV subtypes in Xiamen were HPV52, 53, 58, 16 and 51 (2.69%, 1.74%, 1.63%, 1.23% and 1.05%). The five most common LR-HPV subtypes were HPV54, 61, 81, 70, and 34 (0.92%, 0.86%, 0.71%, 0.45%).
Conclusion: This article analyzed the current HPV prevalence and genotype distribution among women in Xiamen. Our finding demonstrate that the 9-valent HPV vaccine is recommended for regular immunization in Xiamen. It is necessary for aged women to participate in HPV screening to decrease the morbidity and mortality of cervical cancer.
Effectiveness of Repetitive Transcranial Magnetic Stimulation Combined with Visual Feedback Training in Improving Neuroplasticity and Lower Limb Function After Chronic Stroke
Authors: Cheng Hsien-Lin , Lin Chueh-Ho , Tseng Sung-Hui , Peng Chin-Wei , Lai Chien-Hung
Published: November 2022

Background After stroke, patients often experience lower limb motor deficits that interrupt their balance and gait functions and thereby lead to a high risk of falls. Sustained gait impairment can restrict participation in the activities listed in the International Classification of Functioning, Disability and Health model and poor quality of life. Repetitive transcranial magnetic stimulation (rTMS) and visual feedback training (VF) are key focuses in advanced rehabilitation medicine. The present study investigated the effectiveness of rTMS and VF training in improving lower limb motor performance, gait, and corticospinal excitability in patients with chronic stroke. Methods We recruited 30 patients with paretic legs at an average Brunnstrom stage of 3.7. The average time after the onset of stroke was 36.4 months. The patients were randomized into three groups: rTMS and VF, sham rTMS and VF, and sham rTMS and conventional rehabilitation groups. All participants underwent 50-minute intervention sessions three times per week for 4 weeks. The motor-evoked potential (MEP) of the tibialis anterior muscle, Berg Balance Scale (BBS) scores, Timed Up and Go (TUG) test scores, and Fugl–Meyer Assessment of Lower Extremity (FMA-LE) scores were determined before and after the intervention. Results The baseline characteristics were similar among the groups. After the intervention, the rTMS and VF group had improved MEP latency (Z = − 2.547,P = 0.011), TUG scores (Z = − 2.666,P = 0.008), and BBS scores (Z = − 2.539,P = 0.011). The sham rTMS and VF group had improved MEP latency (Z = − 2.207,P = 0.027) and TUG scores (Z = − 2.687,P = 0.052). The sham rTMS and conventional rehabilitation group had improved TUG scores (Z = − 2.537,P = 0.066). Conclusions rTMS and VF training may enhance the cortical excitability and walking ability of individuals with chronic stroke. However, future studies should use a larger study population and longer intervention time to validate this finding. Trial registration: This study was registered on theClinicalTrials.govProtocol Registration and Results System (ID:NCT03689491).
WITHDRAWN: SHOX variations in Idiopathic Short Stature in North India and its overall prevalence in Asia
Authors: Srivas Priyanka , Tyagi Ankita , Bamba Chitra , Kumari Anu , Kaur Harvinder , Seth Saurabh , Kaur Anupriya , Panigrahi Inusha , Dayal Devi , Pramanik Subhodip , Mandal Kausik
Published: November 2022

Background
Short stature homeobox (SHOX) haploinsufficiency underlies idiopathic short stature (ISS) and Leri-Weill dyschondrosteosis (LWD). The worldwide prevalence of SHOX variations in ISS varies from 2.5–15%. This study aims to assess the implication of SHOX variation in ISS in North India and its overall prevalence in Asian population.
Methods
SHOX gene analysis carried out by Multiplex ligation dependent probe amplification (MLPA) followed by Sanger sequencing in 54 patients with variable phenotypes. Meta-analysis was done to evaluate its prevalence which comprises 11 previous studies including present, carried out on a total of 979 participants.
Results
SHOX gene analysis resulted in 12.9% of positivity (7.4% deletions and 5.5% duplications). SHOX association was seen significantly related to gender, with predominance in female sex (P-value: 0.047). Short arms and forearms were the only significantly associated trait seen in 51.85% of children. We have found a rare association of multiple exostosis with LWD in a child with deletion. The prevalence of SHOX variation came as 15.2% in Asians. No significant difference was found in geographical region-specific analysis.
Conclusion
This meta-analysis compiles findings from the last decade and provides an updated picture of the prevalence of SHOX variations in Asians, emphasizing their potential as therapeutic targets in ISS patients.
Isolation and Whole Genome Sequencing of a novel Salmonella lytic bacteriophage
Authors: R Naveen Kumar , S Ashok , S Tamilazhagan , Panpatil Virendra , Kaliaperumal Venkatesh , Guda Sri Durga Gauthami , Putchaa Udaykumar , Ranganathan Uma Devi , Rajkumar Hemalatha , Ghosh Sudip , Bethunaickan Ramalingam
Published: November 2022

Salmonella is one of the leading causes of foodborne diseases in the world. In this study, Salmonella killing bacteriophage was isolated using the double-layer agar overlay technique and characterization of the phage genome was done. The morphology of phage was studied using Transmission Electron Microscopy. Whole-genome sequencing of phage DNA was performed in the Miseq platform. The genomic DNA library was prepared using the NexteraXT library prep kit method using the NexteraXT index kit. Paired-end sequencing of 2×251 cycles read length; the run was performed using the Miseq V3 kit. Phage formed clear plaques on S. enteritidis in the double agar overlay technique. The electron microscopy revealed that the phage belonged to Myoviridae family. The assembly produced a draft genome of length 161329 bp with a GC content of 44.425% and coverage of 104x. Rapid annotation subsystems technology yielded 333 coding sequences of which 285 proteins were hypothetical and 48 were assigned functions that included DNA ligase, capsid protein, endolysin, and other proteins. A pairwise comparative analysis showed closest genome as Salmonella Phage SSE-121. The study on the phylogenetic tree obtained showed a very close relationship with Salmonella Phage SSE-121 genome with a distance score of 0.1 disclosing it to be a new member of the SSE121 virus.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Theoretical Development of Connectivism through Innovative Application in China
Authors: Chen Li , Xu Yaqian
Published: November 2022

As a learning theory that reveals a new learning in the Internet environment, connectivism has become a popular academic topic at the forefront of online learning. The MOOC Research Team at the Distance Education Research Centre at Beijing Normal University designed and developed the first massive open online course, adapting a connectivist (cMOOC) approach in China. Using the data collected from six offerings of the cMOOC over 3 years, the big data paradigm was used for data analysis including complex network analysis, content analysis, text mining, behaviour sequence analysis, epistemic network analysis, and statistical and econometric models. This paper summarizes the findings of the patterns of connectivist learning, including a) the basic characteristics and evolutional patterns of complex networks, b) the characteristics and modes of knowledge production, c) the patterns of instructional interactions, and d) the relationships between pipe and content and between facilitators and learners. It is expected that the outcome of this study could make contributions to understanding the changes of online learning in depth and further promote the theoretical development and practical application of a connectivist approach.
Marketing research in the context of trust in the public sector: A case of the digital environment
Authors: Litovtseva Veronika , Krawczyk Dariusz , Kuzior Aleksandra , Brychko Maryna , Vasylieva Tetiana
Published: November 2022

Trust in public services is a driving force of socio-economic development. It ensures effective dialogue between citizens and government and becomes especially relevant in the digitalization. The lack of trust in the public sector can make reforms ineffective and the achievement of the goals of the Ministry of Digital Transformation within the framework of the State Strategy for Regional Development of Ukraine until 2027 in question. For this reason, marketing tools in public services should be directed toward achieving greater trust in those services and the government. This paper analyzes the current research on public sector marketing and its role in building trust as a foundation for the country’s digital development. Implementing multi-level bibliometric (Scopus tools), network (VOSviewer), and comparative (Google Trends) analysis, this study traces the development of marketing research on the process of public services delivery transformation from traditional to digital. 922 studies published between 1968 and 2022 were analyzed. The results show that public sector marketing is a multidisciplinary field of scientific research that is actively developing. Cluster analysis demonstrated that its modernization and the relationship between marketing in services and consumer behavior are the smallest and newest spheres of research. Researchers consider relationship marketing the principal mechanism for building trust in the public sector. This study found little research on the impact of marketing tools on consumers’ trust in public services. The comparative analysis confirmed the hypothesis of the need to change marketing tools due to the massive shift from offline to online services.
AcknowledgmentThe authors acknowledge the funding in terms of the projects “Simulation modeling of the trajectory of the impact of behavioral attractors on macroeconomic stability: the role of transparency and public trust (0121U100469)” and “Modeling mechanisms for de-shadowing and de-corrupting the economy to ensure national security: the impact of the financial behavioral patterns transformation (№ 0122U000783)”.
Fear of Covid-19 and Compliance with Preventive Behaviours: Gender Differences among Youth in India
Authors: Jhamb Shruti
Published: November 2022

The Covid-19 pandemic has emerged as a gendered phenomenon in several ways, with women reporting greater risk aversion, perceived chances of infection and fear of family members getting sick compared to men. The present study aimed to investigate gender differences in fear of Covid-19 and compliance to preventive behaviour during the pandemic among young adults in the metropolitan cities of India. Although India has been one of the countries hardest hit by the pandemic, this remains an under-investigated area here. Data was collected from 159 participants (79 men and 80 women) on two variables: fear, measured by the Fear of Covid-19 Scale, and compliance, measured by the Preventive Behaviours Questionnaire. The results indicated no gender differences for both variables, thereby, rejecting the hypothesis of the study that women will be more fearful and compliant than men. Further, a content analysis designed to identify the reasons for low compliance among participants who reported the least levels of adherence to preventive Behaviours found the main factors to be high rates of vaccination and the presence of Covid fatigue. The lack of gender differences found in the study necessitates further research but may potentially be partly attributed to the severity of the pandemic in the country, supplemented by similar levels of exposure to information about the pandemic among men and women. The lack of gender differences in fear may explain the lack of differences found for compliance. Implications and strategies for tackling factors driving low compliance to preventive Behaviours are discussed. Keywords: Fear of Covid, Gender differences, Health, Preventive behaviours.
A Case Report of Cutaneous Low-grade Myofibroblastic Sarcoma in the Neck
Authors: Park Hannara , Lim Junhyun , Park Hyochun , Yeo Hyeonjung
Published: November 2022

Myofibroblastic sarcoma can be classified as low-, intermediate-, and high-grade. Low-grade myofibroblastic sarcoma (LGMS) is uncommon and rarely appears on the skin. LGMS is diagnosed based on histopathological and immunohistochemical findings. Additionally, LGMS metastases are rare as well. Herein, the authors describe a case of cutaneous LGMS in the neck. To the best of our knowledge, there are no cases regarding cutaneous LGMS in the neck present in the existing literature. Surgical resection is considered as the most important treatment for LGMS. Therefore, a complete tumor resection was performed in this case. However, another mass in the uterus was identified on abdominal computed tomography performed post-surgery.
A Case of Self-induced Pneumoparotid Improved with Conservative Treatment
Authors: Kim Jeongho , Kim Guiok
Published: November 2022

Pneumoparotid is a rare diagnosis to consider when faced with unexplained parotid swelling. It is caused by an excessive increase of intraoral pressure and reflux of air through the Stensen duct and its glandular branches. It is more likely to occur in persons who have regularly raised intraoral pressure, for example glass and balloon blowers and wind instrument players. It can also be self-induced by habitual tic. Herein, we report a rare case of pneumoparotid with initial presentation of painless swelling in left parotid region. It was caused by habitual cheek inflating and improved with conservative management.
A Case of Squamous Cell Carcinoma arising from an Odontogenic Keratocyst
Authors: Oh Jae Eun , Lee Chan Yeong , Kim Kyeong Min , Tak Min Sung , Byeon Hyung Kwon
Published: November 2022

Odontogenic keratocyst (OKC) accounts for 3-11% of all odontogenic cysts. OKC is a benign intra-osseous odontogenic tumor, but what makes this cyst special is its aggressive behavior and high recurrence rate. OKC is relatively aggressive compared to other odontogenic cysts, but its malignant transformation is considered extremely rare. Squamous cell carcinoma associated with odontogenic keratocysts have rarely been reported in the medical literature. We recently experienced a case of a 63-year-old man finally confirmed with squamous cell carcinoma of the mandible, which was initially diagnosed as a benign odontogenic keratocyst. Surgical resection was performed as definitive treatment. Therefore, we present this unique case with a review of the literature.
Photosynthetic response, antioxidase activity, and cadmium uptake and translocation inMonochoria korsakowiiwith cadmium exposure
Authors: Zhou Wei , Xin Jianpan , Tian Runan
Published: November 2022

To identify the tolerance mechanisms of wetland plants exposed to heavy metal, a hydroponic experiment was used to investigate variations in photosynthetically physiological parameters and antioxidant enzyme activities in leaves of Monochoria korsakowii exposed to 0.05, 0.15, 0.30, and 0.45 mM Cd2+ for 7 d. The Cd2+ concentrations in the plant roots, stems, and leaves were also investigated. Cd2+ exposure significantly decreased the total chlorophyll content, net photosynthetic rate, intercellular carbon dioxide concentration, and stomatal conductance, while stomatal limitation value had the opposite trend (P < 0.05). During Cd2+ stress, ascorbate peroxidase activity significantly increased (P < 0.05). The translocation factor for Cd2+ was significantly lower than that of the control, and both were less than 1 (P < 0.05). Cd2+ stress damaged the photosynthetic apparatus in the leaves. During Cd2+ stress, M. korsakowii alleviated oxidative stress by increasing the activities of antioxidant enzymes, such as APX. Under 0.45 mM Cd2+ stress, increased heat dissipation was responsible for alleviating the photooxidative damage to photosynthetic organs in the leaves. Meanwhile, the majority of Cd2+ was immobilized in the roots, thus alleviating excessive Cd2+ phytotoxicity in the aboveground parts. Generally, M. korsakowii has potential application in the phytoremediation of low-cadmium-polluted water.
trajetória do Zambêracatu e a identidade negra potiguar
Authors: Branco Louise Caroline Gomes
Published: November 2022

Resenha da obra: NUNES, F. S. "Ouçam o som do meu tambor ": Nação Zambêracatu, construção e movimento. 2020. Dissertação (Mestrado em Antropologia Social) — Programa de Pós-graduação em Antropologia Social, Universidade Federal do Rio Grande do Norte, Natal, 2020.