bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultural adaptation and validation of the Positive and Negative Affect Schedule for Children (PANAS-C) among Indonesian adolescents
Authors: Haywood Sharon , Garbett Kirsty M , Craddock Nadia , Hayes Chloe , Saraswati L Ayu , Nasution Kholisah , Medise Bernie Endyarni , Vitoratou Silia , Diedrichs Phillippa C 
Published: August 2023

Abstract

Background
Although mental health issues among Indonesian adolescents are of growing concern, a psychometrically valid measure of affect in Indonesia to inform related research and prevention and treatment efforts does not exist.
Methods
The present study’s aim was to culturally adapt and validate the widely used Positive and Negative Affect Schedule for Children (PANAS-C) among Indonesian adolescents. The original 30-item PANAS-C in English underwent forward and back translations to Bahasa Indonesia (the national language of Indonesia) followed by cognitive interviews with private and public school students ages 12–15 (n = 18). The adapted PANAS-C and measures to assess convergent validity were completed by 704 Indonesian adolescents from Greater Jakarta and the Javanese city of Surabaya (Mage = 13.56, SD = 0.906) (56.96% girls; 42.75% boys; 0.28% other). Most participants identified their ethnicity as Javanese (72.59%), Betawi (8.24%), or Sundanese (3.41%).
Results
Exploratory and confirmatory factor analyses were conducted, which resulted in 26 items with a two-factor structure consistent with the original PANAS-C: A 12-item Positive Affect subscale and a 14-item Negative Affect subscale. Internal consistency was satisfactory for the Positive Affect subscale (Cronbach’s alpha was 0.88; McDonald’s omega was 0.88) and excellent for the Negative Affect subscale, (Cronbach’s alpha was 0.90; McDonald’s omega was 0.89). Test-retest reliability was acceptable for all items, and convergent validity was confirmed by significant correlations with measures of distress and well-being.
Conclusion
The adapted PANAS-C was found to be a reliable and valid measure of positive and negative affect that can be used with Indonesian adolescent girls and boys. This is the first validated measure of positive and negative affect for young people in Indonesia, which fills a need in mental health research and practice.
MyData Cloud: Secure Cloud Architecture for Strengthened Control Over Personal Data
Authors: Heo Seungmin , Kwon Yonghee , Kim Beomjoong , Jeon Kiseok , Lee Junghee 
Published: August 2023

Abstract
MyData is a personal data management approach that allows data subjects to control their data and service providers to utilize it. The data subjects can decide how to use and where to provide their data. With the explicit consent of the participants, service providers can collect scattered data from data sources and offer personalized services based on the collected data. MyData services are commercialized using two main approaches: the operator and device models. In the operator model, a centralized data controller collects the personal data of all data subjects. In the device model, a data controller located on the personal device collects the personal data of only one subject. Personal data from both models are provided to the data processors with the explicit consent of the data subjects. However, in practice, tracing and controlling personal data are difficult for subjects once it is transferred to third-party processors. In this paper, we propose a cloud model in which personal data are collected and processed only in the cloud. As both the data controllers and processors are hosted on a cloud, personal data remains confined to the cloud. However, a data breach could endanger all the data. The threat analysis showed that cloud-only approaches could not reduce this risk. We propose a cloud- device cooperative architecture that minimizes data leakage by encrypting personal data using a key managed by a user device. This architecture poses a similar level of risk to the device model while allowing data subjects to easily control their data.
A new (p, q)− rung orthopair fuzzy SIR method with a multi-criteria decision making approach
Authors: Shahzadi Gulfam , Luqman Anam , Shahzadi Sundas , Deveci Muhammet 
Published: August 2023

Abstract
In comparison to Fermatean, Pythagorean, and intuitionistic fuzzy sets, (p; q)—rung orthopair fuzzy sets have a wider range of displaying membership grades and can therefore provide with more confusing situations. The accuracy of (p; q)—rung orthopair fuzzy numbers is investigated using sine trigonometric functions. First, the (p; q)—rung orthopair fuzzy data are extended to the sine trigonometric operational laws (STOLs). In order to aggregate the (p; q)—rung orthopair fuzzy data, a number of additional aggregation operators are offered, based on the STOLs that are put forth. We also go over some of the features of these aggregation operators and examine how the various operators relate to one another. These operators are also used to create a mechanism for multi-attribute decision-making for (p; q)—rung orthopair fuzzy numbers. A variation of the well-known PROMETHEE approach that can be more effective in handling multi-attribute decision-making problems (MADM) is the superiority and inferiority ranking (SIR) method. In this study, we suggest a novel (p; q)—rung orthopair fuzzy SIR approach to address the uncertainty group MADM problem. This strategy handles unclear information, incorporates individual perspectives into group viewpoints, makes conclusions based on many criteria, and ultimately structures a specific decision map. The suggested method is demonstrated in a simulation of a situation involving group decision-making and the choice of the best journal.
Multiscale modelling of fluid transport in vascular tumours subjected to electrophoresis anti-cancer therapies
Authors: Fülöp Zita Borbála , Penta Raimondo , Ramírez-Torres Ariel 
Published: August 2023

Abstract
Electrophoresis facilitated cancer treatment has demonstrated experimental efficacy in enhancing drug delivery within vascularised tumours. However, the lack of realistic mathematical models with direct measurements in the context of eletrochemotheraphy poses a challenge. We investigate the impact of an applied electric potential on the flow of Darcian-type fluid occurring in two distinct phases: the tumour and healthy regions. We employ the asymptotic homogenisation technique, assuming that the macroscale of the tumour domain is larger than the microscale characterised by vessel heterogenities. We retain information about the microstructure by encoding information in the homogenised coefficients. We take into account both vascularisation and the microscale variations of the leading order and fine scale electric potential. The resulting effective differential problem reads as a Darcy-type system of PDEs, where the flow is driven by an effective source. The novel model can be used to predict the effect of an applied electric field on cancerous biological tissues, paving a new way of improving current electrochemotherapy protocols.
Fragmentation Analysis to Quantify the Changes in Forest Cover after the Massive Rohingya Refugee Influx in Bangladesh
Authors: Mitra Juthi Rani , Ahmed Tanzia Tasneem 
Published: August 2023

Abstract
This study aims to quantify the changes in forest cover in the Rohingya refugee camp areas after the highest influx of refugees. Rohingya refugee migration in 2017 broke the previous records when hundreds of thousands of people fled to Bangladesh with the hope of saving their lives. To respond to this humanitarian emergency, densely populated Bangladesh had few choices other than to clear a forest area to make temporary shelters for Rohingya refugees. Hence, this study applied land use land cover classification techniques, and fragmentation analysis to detect and quantify the changes occurred because of sudden migration. Sentinel 2 images for 2016 and 2022 were classified into four classes: Forest, Water, Agriculture/Open field, and Settlement. Moreover, considering spatial aspects, landscape patterns were analyzed based on seven class-level metrics and two landscape-level metrics. From 2016 to 2022, results showed a decline in total forest areas from 1581 to 737.01 hectares, whereas settlement areas increased (3.71 to 63.09%) dramatically after the establishment of new camps. An increase in the number of patches (804 to 2642), patch density (32.2 to 105.83), and division index (0.81 to 0.99) for the Forest class indicates that the forest area became more fragmented in 2022 than in 2016. In addition, landscape-level metrics revealed an increase in the number of patches, and patch densities also exhibited fragmented landscape in 2022. Over the last six years, the establishment of refugee camps has noticeably changed the landscape and created adverse effects on agriculture, water resources, and ecosystem balance.
Factors influencing the joint practice of evidence-based medicine and shared decision-making: A qualitative study of junior doctors and consultants
Authors: Simons Mary , Fisher Georgia , Spanos Samantha , Zurynski Yvonne , Davidson Andrew , Stoodley Marcus , Rapport Frances , Ellis Louis A. 
Published: August 2023

Abstract

Evidence based medicine (EBM) and shared decision making (SDM) are traditionally taught separately in health sciences education. However, recognition is gradually increasing for the importance of EBM training that includes SDM, whereby practitioners incorporate all steps of EBM, including person-centred decision making using SDM. Yet little progress has been made in understanding whether training that integrates EBM and SDM (EBM-SDM) can benefit junior doctors, and the factors that may influence this. We developed and ran a series of EBM-SDM courses for junior doctors within a private healthcare setting, which had protected time for educational activities. Using an emergent qualitative design, we first conducted pre- and post-course interviews with 12 junior doctors to describe the influence of an EBM-SDM course on their attitudes and practice of both EBM and SDM, and the barriers and facilitators to the integrated practice of EBM and SDM. We then conducted interviews with ten of the supervising consultants to understand their influence on junior doctors’ EBM-SDM learning and practice. From thematic analysis medical hierarchy, time factors, and lack of prior training were deemed barriers by junior doctors, whilst the private healthcare setting and supportive consultants were considered facilitators to the learning and practice of EBM-SDM. Junior doctors appreciated EBM-SDM training that involved patient participation and intended to improve their skills in person-centred decision-making including SDM. These findings suggest that future medical education and research should include training opportunities focused on EBM-SDM, and strategies to overcome barriers to the implementation of EBM-SDM learning and practice.
Integration analysis of miRNA-mRNA pairs between two contrasting genotypes reveals the molecular mechanism of jujube (Ziziphus jujuba Mill.) response to high-temperature stress
Authors: Jin Juan , Yang Lei , Fan Dingyu , Li Lili , Hao Qing 
Published: August 2023

Abstract
With global warming, high temperature (HT) has become one of the most common abiotic stresses resulting in significant yield losses in crops, especially for jujube (Ziziphus jujuba Mill.) which is an important temperate economic crop cultivated worldwide. This study explored the coping mechanism of jujube to HT stress at the transcriptional and post-transcriptional levels. High-throughput sequencing analyses of miRNA and mRNA were performed on jujube leaves which were collected from “Fucumi” (heat-tolerant) and “Junzao” (heat-sensitive) cultivars subjected to HT stress (42℃) for 0, 1, 3, 5, and 7 days, respectively. The results showed that 45 known miRNAs, 482 novel miRNAs and 13884 differentially expressed mRNAs (DEMs) were identified. Among them, integrated analysis of miRNA target genes prediction and mRNA-seq obtained 1306 differentially expressed miRNAs-mRNAs pairs, including 484, 769, and 865 DEMIs-DEMs pairs discovered in “Fucuimi”, “Junzao” and two genotypes comparative groups, respectively. Furthermore, functional enrichment analysis of 1306 DEMs revealed that plant-pathogen interaction, starch and sucrose metabolism, spliceosome, and plant hormone signal transduction were crucial pathways in jujube leaves response to HT stress. This study further proved the regulatory role of miRNAs in the response to HT stress in plants and will provide a theoretical foundation for the innovation and cultivation of heat-tolerant varieties.
A three-dimensional functional data geometric morphometrics approach for exploring shape variation
Authors: Pillay Aneesha Balachandran , Dabo-Niang Sophie , Pathmanathan Dharini 
Published: August 2023

Abstract
This research introduces a new method for analysing shape variation for 3D landmark coordinate data, called functional data geometric morphometrics (FDGM). FDGM uses functional data analysis (FDA) to treat landmark coordinates as continuous curves or functions. This allows for a more exhaustive description and analysis of shape variation compared to geometric morphometrics (GM), which treats landmark coordinates as discrete points. A simulation study was conducted to demonstrate the general effectiveness of FDGM compared to the GM. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to both the landmark coordinates and the functional form of the landmark coordinates. The analyses favoured FDGM. The reconstruction error for FDGM was smaller when smoothed data was considered in generating the data. FDGM and GM were then applied to distinguish dietary categories of kangaroos (omnivores, mixed feeders, browser, and grazer) using landmarks obtained from crania of 41 kangaroo extant species. The results demonstrate that FDGM is a powerful method for analysing shape variation in 3D landmark coordinate data. FDGM can substantially enhance the domain of morphometrics, providing a valuable resource for driving future progress within this realm.
Corrosion and wear performance of Si face of single-crystal SiC based on metal electrochemical corrosion
Authors: Hu Da , Lu Jiabin , Luo Yingrong , Yan Qiusheng , Luo Ziyuan 
Published: August 2023

Abstract
Herein, we proposed a chemical mechanical polishing method for single-crystal SiC based on metal electrochemical corrosion and investigated the corrosion and wear performance of the Si face of single-crystal SiC. By comparing the corrosion performance of Al, Cu, and Fe metals on the Si face in a Na2SO4 electrolyte solution, it was found that only Al can generate a noticeable corrosion layer. The EDS and XPS analyses of the Si face confirmed that the corrosion is due to the formation of the SiO2 layer. Frictional wear experiments were conducted to investigate the influence of solution composition on the wear behavior of Si face. Increasing the concentration of the Na2SO4 electrolyte solution resulted in higher wear, with a maximum wear value of 7.19 µm2 obtained in 1 mol/L Na2SO4 electrolyte solution. In an acidic corrosive solution, the Si face exhibited the highest material removal, with a wear value of 11.97 µm2 achieved at pH 3. The material removal mechanism of single-crystal SiC via metal electrochemical corrosion involved the corrosive reaction involving Al at the cathode, which generated a corrosion current, and the subsequent oxidation of the SiC surface at the anode, forming a SiO2 oxide layer leading to material removal.
Identification of key extracellular proteins as biomarkers for prediction and assessment of preeclampsia
Authors: Ran Xiaoxia , Xue Qing , Zhang Miaoxian , Ye Haowen , Jiang Junxiu , Chen Xiangli , Zeng Xiongying , Li Meng 
Published: August 2023

Abstract
Background
Preeclampsia (PE) is a major cause of maternal and neonatal death, and its pathogenesis is related to extracellular proteins (EPs) secreted by the placenta. However, there are no objective indicators for the diagnosis and treatment of PE. We hope to contribute to the clinical work by studying the role of extracellular proteins in PE.
Methods
Differential expression analysis and WGCNA were used to preliminary screening the extracellular proteins and differential expression genes (EP-DEGs). Machine learning algorithms were used to further identify key EP-DEGs. GO and KEGG were used to analyze the function and pathway of EP-DEGs. Immune infiltration, ROC curve and correlation analyses were performed to assess EP-DEGs and immune cells, diagnostic and prognostic abilities respectively.
Results
245 up-regulated and 233 down-regulated DEGs in GSE75010 were found and four thousand and six EPs were gained from HPA and Uniprot. 172 EP-DEGs were selected from the intersection of DEGs and EP. 5 genes (FSTL3, FLNB, P4HA1, CST6, EFNB1) were defined as the hub EP-DEGs by taking intersection of 6 candidate genes from Lasso regression algorithm and the top 10 most important genes from RF algorithm.
Conclusion
This study identified 5 key genes in PE and performed ROC curve and correlation analyses, indicating that EPs play important roles in signaling, cell adhesion, inflammation and immune response in PE.
ARID1B maintains mesenchymal stem cell quiescence via inhibition of BCL11B-mediated non-canonical Activin signaling
Authors: Chai Yang , Zhang Mingyi , Guo Tingwei , Pei Fei , Feng Jifan , Jing Junjun , Xu Jian , Yamada Takahiko , Du Jiahui , Ho Thach-Vu , Sehgal Prerna 
Published: August 2023

Abstract

ARID1B haploinsufficiency in humans causes Coffin-Siris syndrome, associated with developmental delay, facial dysmorphism, and intellectual disability. The role of ARID1B has been widely studied in neuronal development, but whether it also regulates stem cells remains unknown. Here, we employ scRNA-seq and scATAC-seq to dissect the regulatory functions and mechanisms of ARID1B within mesenchymal stem cells (MSCs) using the mouse incisor model. We reveal that loss of Arid1b in the GLI1+ MSC lineage disturbs MSCs’ quiescence and leads to their proliferation due to the ectopic activation of non-canonical Activin signaling via p-ERK. Furthermore, loss of Arid1bupregulates Bcl11b, which encodes a BAF complex subunit that modulates non-canonical Activin signaling by directly regulating the expression of activin A subunit, Inhba. Reduction of Bcl11b or non-canonical Activin signaling restores the MSC population in Arid1b mutant mice. Notably, we have identified that ARID1B suppresses Bcl11b expression via specific binding to its third intron, unveiling the direct inter-regulatory interactions among BAF subunits in MSCs. Our results demonstrate the vital role of ARID1B as an epigenetic modifier in maintaining MSC homeostasis and reveal its intricate mechanistic regulatory network in vivo, providing novel insights into the linkage between chromatin remodeling and stem cell fate determination.
Hidden Information Discovery in the JWST Selfie Through Statistical Separation of Outliers
Authors: Banerjee Shataneek , Ghosh Amardip , Dey Avijit , Pal Prasanta 
Published: August 2023

Abstract
The ability of a recently developed, computational filter to reveal hidden information in images is demonstrated by applying it to a selfie image of the James Webb Space Telescope (JWST). Data is decontaminated by the filter through an iterative, parametrically tuned sequence of operations involving the conditional flagging of outliers, followed by the curation of the flagged pixels. Every iteration produces a decontaminated image and an outlier image, till the sequence converges asymptotically producing a final decontaminated image that represents the ground-truth as accurately as possible. The intermediate outlier images are shown to contain a wealth of information about the original image. An iteration-by-iteration approach of deriving insight out of the intermediate outlier images is described. This is in sharp contrast to traditional filtering methods that discard outliers causing irreversible loss of information contained therein. The effect of kernel size on detecting outliers at different length scales is also demonstrated. The study indicates that by cascading through properly chosen kernel sizes and thresholds, the filter can not only produce a sanitized version of a raw image but can also reveal a wealth of information hidden in the input image at all possible scales.
Prevalence and factors associated with placental malaria in Lira District, Northern Uganda: a cross-sectional study
Authors: Epuitai Joshua , Ndeezi Grace , Nabirye Rose Chalo , Kabiri Lydia , Mukunya David , Tumuhamye Josephine , Oguttu Faith , Tumwine James K 
Published: August 2023

Abstract

Introduction
Malaria has stable perennial transmission across Uganda. Placental malaria is associated with adverse maternal, fetal, and neonatal outcomes. The magnitude and the factors associated with placental malaria are poorly studied in our setting. The purpose of this study was to assess the prevalence of placental malaria and to explore associated factors among parturient women in Lira District, Uganda.
Methods
This was a cross-sectional study among 366 pregnant women who delivered at Lira Regional Referral Hospital. An interviewer-administered questionnaire was used to collect data on socio-demographic, obstetric characteristics, and malaria preventive practices of the participants. Standard Diagnostic Bioline Rapid Diagnostic Tests were used to detect placental malaria present in the placental blood. We used microscopy to quantify the severity of placental malaria infection and multivariable Odds ratios were used to report associations between selected independent variables and placental malaria.
Results
The prevalence of placental malaria was 16/366 (4.4%). Microscopy revealed 13% (2/16) moderate severity and 31% (5/16) mild severity of malaria parasitaemia. Women aged less than 20 years (AOR 3.483, 95% CI 1.131–10.726), and those not taking iron supplements during pregnancy (AOR = 3.548, 95% CI = 1.022–12.315) were associated with an increased likelihood of having placental malaria parasitaemia at the time of birth. Uptake of sulfadoxine-pyrimethamine for intermittent prevention of malaria during pregnancy and low parity were not associated with placental malaria.
Conclusion
Nearly, one in every 22 women had placental malaria infection at the time of delivery. Placental malaria infection was associated with younger age and not taking iron supplements during pregnancy.
scSDSC: Self-supervised Deep Subspace Clustering for scRNA-seq Data
Authors: Zhao Jian-Ping , Yang Bo , Wang Hai-Yun , Zheng Chun-Hou 
Published: August 2023

background:
Single-cell RNA sequencing(scRNA-seq) data can identify heterogeneity between cells, thereby identifying cell types and discovering rare cell types. Clustering is often used to identify cell types, but the high noise and high dimension of scRNA-seq lead to the degradation of clustering performance and impact downstream analysis. Deep learning is widely used in this field, which provides promising performance in feature learning.

objective:
Most deep learning models only consider the relationship between genes, ignore the relationship between cells. We try to use the relationships between cells and the relationships between genes to construct clustering models.

method:
We proposed scSDSC: a deep subspace cluster architecture that considers the relationships between genes and cells at the same time. Similar to deep subspace clustering (DSC), we added a fully connected layer after the embedding layer to obtain the self-expression matrix. In addition, we also added a fully connected SoftMax layer to generate the pseudo-label and used the information carried by the pseudo-label for model training. Finally, the affinity matrix is obtained for spectral clustering.

result:
Experimental results on eight real datasets show that scSDSC outperforms existing methods in downstream analysis.

conclusion:
Our method plays an important role in improving clustering accuracy and downstream analysis.