bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Analysis Method of spatial Distribution of Faults and Correlation Analysis of Water Inrush based on improved fractal Dimension and 3-D geological Model: A Case Study in Dafosi Coal Mine
Authors: Yan Junsheng , Liu Zaibin , Xie Qian , Liu Chenguang , Wu Xuefei , Ji Kang , Wang Xiaohui , Wang Huahui 
Published: July 2024

Abstract

Fault is one of the most threatening factors among the hidden disaster-causing factors in coal mines. The current quantitative analysis method of fault is still unsatisfactory, which is mainly reflected in the fact that the quantitative results cannot reflect the morphological characteristics of fault and lack of three-dimensional(3-D) quantitative methods. In this paper, we propose a method for quantitative analysis of spatial distribution faults based on improved fractal dimension and 3-D geological model. The method utilizes the Delaunay algorithm to improve the fractal dimension calculation parameters. On the other hand, the 3-D geological model is used to calculate the curvature of the fault plane, and the mean curvature of the fault plane is used to correct the number of parameters in the calculation of 3-D fractal dimension. The calculated indices can reflect the spatial distribution characteristics of the faults in the study area as well as their own structural characteristics. Finally, we calculated the correlation coefficients between the calculated results and the distribution of water inrush points by linear regression analysis. The regression coefficient \({\text{R}}^{2}\) obtained are above 0.7, which proves that the spatial distribution faults proposed in this paper has a strong correlation with the water inrush conditions in mines, and further verifies the validity of the method proposed in this paper.
An interactive feature-fusion neural network for 3D fault seismic recognition
Authors: Shan Huilin , Wang Xingtao , Luo Jianwei , Chen Xin , Huang Yaobo , Zhang Yinsheng 
Published: July 2024

Abstract

Currently, most deep-learning-based fault-recogni-tion methods rely on traditional networks, such as U-Net and convolutional neural networks (CNNs). Traditional networks excel in feature extraction because they use a large number of traditional convolution operations. However, they suffer from issues such as feature redundancy, slow model inference speed, and overfitting. This study proposes an interactive feature-fusion neural network (IFFN) for three-dimensional (3D) fault recognition. First, the IFFN adopts a U-shaped network structure, leveraging techniques such as three-dimensional (3D) depth-separable convolution, mixed-hole convolution, and upsampling to address feature redundancy caused by conventional con-volutions. Dropout layers are incorporated into each convolution block to suppress overfitting and enhance the generalization ability of the network. Second, the IFFN introduces an attention mechanism to emphasize the relationship between features, considering the inherent relationships among fault structures. Finally, the IFFN employs an interactive feature-fusion layer that effectively combines low- and high-level features to mitigate feature loss during the convolution process, ensuring accurate feature extraction. The flexibility of the interactive feature-fusion layer allows customization according to specific task require-ments by adjusting the number of layers in the encoder and decoder. Experimental evaluations conducted on the FaultSeg3D dataset, which is enhanced to address overfitting, demonstrates that the IFFN achieves superior performance. The IFFN exhibits a 10% reduction in network complexity with only 2.76 million parameters compared with that of traditional U-shaped networks. Furthermore, it attains an impressive intersection-union ratio of 86.4%. The proposed 3D fault identification method in this study provides a valuable approach for improving fault-recognition for earthquake interpretation.
Prevalence and Regional Distribution of Beta-Hemoglobin Variants in Saudi Arabia: Insights from the National Premarital Screening Program" Running Title: Burden of Beta-Globin Variants in Saudi Arabia
Authors: Aljabry Mansour , Sulimani Suha , Alotaibi Ghazi , Aljabri Hassan , Alomary Shaker , Aljabri Omar , Sallam Maha , Alsultan Abdulrahman 
Published: July 2024

Abstract

Background
Hemoglobinopathies are among the most prevalent inherited disorders globally, with carrier prevalence varying significantly across regions. In Saudi Arabia, high rates of consanguineous marriages amplify the risk of these disorders.
Aim
This study aims to assess the burden of hemoglobinopathies by evaluating the prevalence and regional distribution of beta-hemoglobin variants, including rare variants, among couples participating in the national premarital screening program.
Methods
Data were collected from the premarital genetic screening program and entered into the SEHA platform, covering the 13 administrative regions of Saudi Arabia. Blood samples underwent various screening tests for infectious and genetic diseases. Hemoglobin electrophoresis samples were analyzed using capillary electrophoresis, High-Performance Liquid Chromatography (HPLC), or a combination of both methods.
Results
From 2011 to 2018, 1,871,184 individuals were enrolled in the study, with 49.8% male and 50.2% female. The average age was 30.2 years. Hemoglobin S (HbS) was identified in 88,431 individuals (4.7% of the tested population and 78.5% of abnormal screening results), primarily as a sickle cell trait. β-thalassemia was the second most common disorder, identified in 22,420 individuals (1.2% of the population and 19.9% of hemoglobin disorders). Rare variants such as HbO-Arab, HbD, HbG, HbC, HbE, and Hb Lepore were infrequently detected.
Conclusion
The study demonstrates regional variation in the prevalence of hemoglobin genetic variants in Saudi Arabia. Enhancing public education and awareness, particularly focusing on genetic screening and counseling, is crucial to mitigate this risk.
MVCRNet: A Semi-Supervised Multi-View Framework for Robust Animal Pose Estimation with Minimal Labeled Data
Authors: Zeng Xianghao , Zhang Jikai , Zhu Zhaoli , Guo Dongliang 
Published: July 2024

Abstract

Due to its high dependence on labeled data, animal pose estimation faces significant challenges in practical applications. Effectively utilizing large amounts of unlabeled data to improve the accuracy of pose estimation has become an urgent research topic to be addressed. In this paper, we propose the MVCRNet, which is designed to label a minimal amount of data at a low cost, while effectively utilizing large amounts of unlabeled data for accurate animal pose estimation. We first train an initial model on the limited set of labeled samples, and then use this model to generate preliminary pseudo-labels for the unlabeled data. Given the inevitable presence of noise in these pseudo-labels, the framework adopts the small loss trick coupled with confidence evaluation to retain only those pseudo-labels that satisfy both low loss and high confidence. However, this approach may be overly cautious, potentially discarding pseudo-labels of inferior quality that still contain learning value. To address this problem, we innovatively incorporate a multi-view based triple consistency checking strategy aimed at detecting and relabeling pseudo-labels containing potential learning value within high-loss, low-confidence samples, and a teacher-student consistency constraint strategy that further strengthens the stability and accuracy of the model throughout the training process. Experimental evaluations on two challenging datasets, AP-10K and Zebra, show that our method consistently outperforms existing semi-supervised algorithms, demonstrating its effectiveness and sophistication for animal pose estimation under data-constrained conditions. Our code and datasets are available at https://github.com/cf2xh123/MVCRNet.
Selection of accelerometric time histories for the Lazio region (Italy) by clustering of probabilistic seismic hazard data
Authors: Hailemikael Salomon , Martini Guido , Mascandola Claudia , Barani Simone , Zini Alessandro , Peloso Alessandro 
Published: July 2024

Abstract

Selection of accelerometric time histories is a fundamental step in seismic microzonation studies as well as in structural and ground response analyses. In this study, we propose an update of the procedure of Mascandola et al. (2020) for record selection in vast areas, which is based on cluster analysis of seismic hazard data to identify zones (called mesozones) that are homogeneous in terms of seismic hazard. This procedure was applied in the Lazio region in Central Italy. For each mesozone, two conditional spectra (computed for two conditioning oscillator periods) were defined and then adopted as reference for the selection of real accelerometric records. Such records were selected from a large sample of accelerograms that include earthquakes having magnitude and distance consistent with the seismic scenarios controlling the hazard. Before record selection, two algorithms for seismic mesozonation were compared: K-means and spectral clustering. We found that the latter provides a zonation that is more consistent with the spatial distribution of the seismic hazard as well as of hazard disaggregation, and is therefore suggested for record selection in vast areas.
Adolescent’s health and well-being into the COVID-19 pandemic: A two-wave prospective investigation – The HUNT Study
Authors: Kvaløy Kirsti , Sund Erik Reidar , Rimehaug Tormod , Pape Kristine , Ingul Jo Magne , Rangul Vegar 
Published: July 2024

Abstract

Purpose
Using data on Norwegian adolescents, this study aimed to explore changes in mental health, quality of life, somatic health complaints and loneliness into the COVID-19 pandemic, also considering the changes according to socioeconomic position (SEP).
Methods
The study involved a cross-sectional comparative design with data from Young-HUNT4 (2017–2019) (n = 4347) and Young-HUNT COVID (May/June 2021) (n = 2033), aged 16–19 years. Additionally, longitudinal changes from Young-HUNT4 (n = 1565), aged 13–15 years, with follow-up in Young-HUNT COVID were explored. The impact of SEP was investigated through regression analyses and investigating prevalence changes in high and low SEP groups.
Results
In the cross-sectional comparison, boys and girls reported higher levels of loneliness and mental distress (boys only) into the pandemic compared to before, while general health and quality of life remained stable. Longitudinally, all factors changed adversely except for general health in boys. Comparing younger (13–15 years) with older (16–19 years) adolescents from Young-HUNT4, demonstrated the same adverse pattern as in the longitudinal sample. Poor health, poor quality of life and loneliness were more prevalent in the low compared to the high SEP group. In the low SEP group, mental distress, poor general health and life quality worsened in boys while improved in girls during the study period.
Conclusion
Except for mental distress in boys, general health and life quality did not deteriorate in the study period, although loneliness increased in both sexes. In the low SEP group, girls seemed to cope better than boys where health and well-being even improved.
Menstrual experiences of adolescent female school pupils in England
Authors: Brooks Alice , Maybin Jacqueline A. , Harper Joyce C 
Published: July 2024

Abstract

Background
Menstruation can negatively impact quality of life (QoL), particularly during adolescence. In addition to physical and emotional symptoms, there is a stigma surrounding menstruation and a lack of support and education; which can have detrimental effects on wellbeing. This study aims to (1) explore if girls in schools across South East England feel that periods affect their wellbeing, (2) to understand the support and education that girls receive and (3) to suggest changes to improve menstrual health education and support in English schools.
Methods
Eight focus groups were carried out in four schools, two in each school, with a total of 49 year-10 girls participating (all cisgender). Four questions were asked in each focus group relating to the girls’ attitudes to having a period, how their period affected their wellbeing, the support they need and how could education be improved.
Results
The girls had mostly negative attitudes about periods, and said their periods negatively impacted their physical, emotional, and social QoL, affecting areas such as friendships, schoolwork, and socialising. They expressed a desire for more menstrual education and for boys to be included. They wanted improved menstrual support, especially at school, in the form of access to period products, days off school, and emotional support.
Conclusion
This study highlights the negative impact that menstruation can have on the QoL of girls. It also shows the need for improved support and education for both boys and girls from an early age; which may help dissipate period stigma and increase QoL.
Antiproliferative activity of Hoslundia opposita leaf extract and fractions against a human glioblastoma cell line (U251)
Authors: Ajibare Abosede Christiana , Ebuehi Osaretin Albert Taiwo , Adisa Rahmat Adetutu , Sofidiya Margaret Oluwatoyin , Akinyede Kolajo Adedamola , Samuel Titilola Aderonke , Olugbuyiro Joseph A.O. , Iyiolaa Helen Adeola , Phillips Oluwagbemiga Mofolorunsho 
Published: July 2024

Abstract

BACKGROUND: The ineffectiveness of many known anticancer agents for treating several cancer types, especially glioblastoma (GMB), which affects the body's central nervous system, is highly important. GBM is highly invasive and recalcitrant and accountsfor 42% of all central nervous system tumors and 60% of all brain tumors in adults, with a median survival of 15 months. The limitationsencountered in GBM treatment necessitate the discovery and development of new drugs.
METHODS: To investigate the anticancer activity of Hoslundia oppositaleaf extracts and fractions against a human glioblastoma cell line (U251) and human keratinocyte HACAT cell line, standard methods, MTT, clonogenic and caspase3 and 7 assays were used to determine the viability of the cells and colony formation and apoptotic activities, respectively. The fluorescent probe dyes dihydrofluorescindiacetate (DCFH-DA) and tetramethylrhodamine (TMRE) were used to determinethe intracellular reactive oxygen species (ROS) concentration and mitochondrial membrane potential (MMP), respectively, in the cells.
RESULTS: The crudemethanolic extracts and fractions of H. opposita leaves exhibited moderate cytotoxic and selective activity within the range of concentrations tested (25-100 µg/ml). The study revealed that crude AHO1 and specific fractions of AHO5 and AHO6 inhibitedmetastasis or colony formation, promoted apoptosis in the U251 cell line and depolarized the mitochondrial membrane potential, which was likelymediated by mitochondria-dependent ROS generation. Overall, the specificity and dose dependenceof the different treatments were observed for the U251 cell line.
Conclusions: The antiproliferative activities of Hoslundia opposita Vahl demonstrated by the crude extract and specific fractions against U251 cells warrant further investigations todecipher its mechanism of action.
Prolonged COVID-19's Double Impact: Stress and Male Fertility
Authors: Alkireidmi Mohammed Ahmed , Kaleem Mohammed , Naqvi Salma , Alabassi Fahad A. , Kamal Mohammad Amjad , Anwar Firoz 
Published: July 2024

Abstract:
Till now, 642 million COVID-19 cases have been confirmed, claiming around 6.62 million
lives. The impact of SARS-CoV-2 on the male reproductive system, both short and long-term,
remains a mystery. This study aims to scrutinize how SARS-CoV-2 affects sexual function, considering
potential mediators such as psychological stress. Results reveal that the infection intensifies
metabolic stress, directly or indirectly impacting male fertility and causing psychological distress
with heightened ROS generation. The exclusive presence of Angiotensin-converting enzyme 2
(ACE2) in type II pneumocytes, serving as the virus receptor, suggests lungs as the primary target. In
conclusion, SARS-CoV-2 infection potentially diminishes male fertility, primarily due to psychological
stress, raising concerns about COVID-19-induced male infertility amid other factors. Despite
limited therapeutic options for COVID-19 and ongoing vaccine efforts, the persistent threat of diverse
strains poses a long-term risk to global population health.
The Acceptability, Engagement, and Feasibility of Mental Health Apps for Marginalized and Underserved Young People: Systematic Review and Qualitative Study
Authors: Bear Holly Alice , Ayala Nunes Lara , Ramos Giovanni , Manchanda Tanya , Fernandes Blossom , Chabursky Sophia , Walper Sabine , Watkins Edward , Fazel Mina 
Published: July 2024

Background
Smartphone apps may provide an opportunity to deliver mental health resources and interventions in a scalable and cost-effective manner. However, young people from marginalized and underserved groups face numerous and unique challenges to accessing, engaging with, and benefiting from these apps.

Objective
This study aims to better understand the acceptability (ie, perceived usefulness and satisfaction with an app) and feasibility (ie, the extent to which an app was successfully used) of mental health apps for underserved young people. A secondary aim was to establish whether adaptations can be made to increase the accessibility and inclusivity of apps for these groups.

Methods
We conducted 2 sequential studies, consisting of a systematic literature review of mental health apps for underserved populations followed by a qualitative study with underserved young male participants (n=20; age: mean 19). Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, an electronic search of 5 databases was conducted in 2021. The search yielded 18,687 results, of which 14 articles met the eligibility criteria.

Results
The included studies comprised a range of groups, including those affected by homelessness, having physical health conditions, living in low- and middle-income countries, and those with sexual and gender minority identities. Establishing and maintaining user engagement was a pervasive challenge across mental health apps and populations, and dropout was a reported problem among nearly all the included studies. Positive subjective reports of usability, satisfaction, and acceptability were insufficient to determine users’ objective engagement.

Conclusions
Despite the significant amount of funding directed to the development of mental health apps, juxtaposed with only limited empirical evidence to support their effectiveness, few apps have been deliberately developed or adapted to meet the heterogeneous needs of marginalized and underserved young people. Before mental health apps are scaled up, a greater understanding is needed of the types of services that more at-risk young people and those in limited-resource settings prefer (eg, standard vs digital) followed by more rigorous and consistent demonstrations of acceptability, effectiveness, and cost-effectiveness. Adopting an iterative participatory approach by involving young people in the development and evaluation process is an essential step in enhancing the adoption of any intervention, including apps, in “real-world” settings and will support future implementation and sustainability efforts to ensure that marginalized and underserved groups are reached.

Trial Registration
PROSPERO CRD42021254241; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=254241
Automating Evaluation of Skill Assessment to Promote Skill Acquisition in the Area of Data Analytics Automation
Authors: Coyne Joshua G. , Summers Scott L. , Villanueva Brigham , Wood David A. 
Published: July 2024

SYNOPSIS
As accounting increasingly embraces automation and data analytics, proficient skill assessment remains a challenge. We introduce an automated tool that streamlines the evaluation of Alteryx workflows. Utilizing the design science methodology, our tool effectively executes and compares Alteryx workflows against a solution, providing scores and feedback. Validation demonstrates remarkable gains; our tool is error-free and 12–222 times faster than manual evaluation. The tool’s efficiency, accuracy, and user-friendliness make it much more feasible to evaluate unstructured Alteryx assessments. Enhanced technology skills will promote hiring and productivity gains associated with automation in accounting.
Analisa Pengaruh Laju Massa Uap Rata-Rata Terhadap Kualitas Uap Rata-Rata Pada Pipa BPV (Back Pressure Vessel) Ke Sterilizer Di Pabrik Kelapa Sawit Kapasitas 50 Ton/Jam
Authors: Effendi Zulham , Rangkuti Ika Ucha P , Nugroho Marfi Dwi 
Published: July 2024

Laju massa uap merupakan kombinasi dari tekanan masuk dan entalpi masuk dan entalpi keluar, Kualitas uap merupakan seberapa baik uap yang dihasilkan. Kualitas uap mempunyai faktor-faktor yang mempengaruhi kualitas uap antara lain tekanan, entalpi. Rata-rata laju massa uap yang di hari pertama yaitu 6,71 kg/s didapat terdapat kualitas uap rata-rata pada S terilizer No 1 didapat 0,848 kj/kg , S terilizer No 2 yaitu 0,847 kj/kg.dan pada hari kedua laju massa uap rata-rata yaitu 6,69 kg/s didapat rata-rata kualitas uap pada Sterilizer No 1 yaitu 0,845 kj/kg dan rata-rata kualitas uap pada Sterilizer No 2 yaitu 0,844 kj/kg. Rata -rata laju massa uap pada hari ketiga adalah 6,59 kg/s, rata-rata kualitas uap pada Sterilizer No 1 yaitu 0,834 kj/kg, rata-rata kualitas uap pada Sterilizer No 2 yaitu 0,833 kj/kg. rata-rata laju massa uap pada hari keempat adalah 6,61 kg/s rata-rata kualitas uap pada Sterilizer No 1 yaitu 0,835 kj/kg, rata-rata kualitas uap pada Sterilizer No 2 yaitu 0,835 kj/kg. laju massa uap rata-rata pada hari kelima yaitu 6,62 kg/s. rata-rata kualitas uap pada Sterilizer No 1 yaitu 0,838 kj/kg, rata-rata kualitas uap pada Sterilizer No 2 yaitu 0,839 kj/kg. Dari penelitian tersebut dapat diperoleh bahwasanya laju massa uap rata-rata memiliki pengaruh yang signifikan terhadap kualitas uap rata-rata. Kata kunci: Laju Massa Uap, Kualitas Uap, Pipa, Back Pressure Vessel, Sterilizer.
PENGGUNAAN VIDEO PEMBELAJARAN DALAM MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA
Authors: Nurlianti Intan , Septian Ari , Muhammad Guntur Maulana 
Published: July 2024

Latar belakang penelitian ini yaitu rendahnya kemampuan pemecahan masalah matematis siswa SMA masih dibawah rata-rata. Kemampuan pemecahan masalah matematis perlu dikuasai oleh siswa karena merupakan salah satu tujuan dalam pembelajaran matematika. Video pembelajaran merupakan salah satu media yang dapat digunakan untuk meningkatkan kemampuan pemecahan masalah matematis siswa. Tujuan penelitian ini untuk mengetahui peningkatan kemampuan pemecahan masalah matematis siswa yang menggunakan video pembelajaran lebih baik dari siswa yang tidak menggunakan video pembelajaran, ketercapaian indikator kemampuan pemecahan masalah matematis siswa, serta mengetahui sikap siswa terhadap pembelajaran yang menggunakan video pembelajaran. Metode penelitian ini adalah metode kuasi ekspesimen dan desain penelitian menggunakan One Group Pretest-Posttest. Populasi dalam penelitian ini adalah siswa kelas X MA Tanwiriyyah. Sampel diambil hanya dua kelas secara purposive sampling yaitu kelas X MIPA 2 sebagai kelas eksperimen dan X MIPA 1 sebagai kelas kontrol. Instrument yang digunakan dalam penelitian berupa tes kemampuan pemecahan masalah matematis siswa dan angket. Berdasarkan hasil penelitian dan pembahasan dapat ditarik kesimpulan bahwa siswa peningkatan kemampuan pemecahan masalah matematis siswa yang menggunakan video pembelajaran lebih baik, indikator kemampuan pemecahan masalah matematis siswa yang memperoleh pembelajaran dengan video pembelajaran tercapai dengan kualifikasi sangat baik dan baik, sikap siwa terhadap penggunaan video pembelajaran dalam pembelajaran matematika positif.