bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of stress changes on the Poso fault caused by large inland earthquake: Case study of the 2017 Mw 6.6 Poso and the 2018 Mw 7.5 Palu-Donggala earthquakes
Authors: Massinai Muh. Altin , Rafie Muhammad Taufiq , Razin Tsaqif , Assagaf M. Alimuddin Hamzah , Syamsuddin Erfan , Maria Maria 
Published: August 2023

Abstract
The 2017 Mw 6.6 Poso and the 2018 Mw 7.5 Palu-Donggala earthquakes are the most recent large inland earthquakes (Mw ≥ 6.5) that occurred in the central part of Sulawesi Island. These large earthquakes transferred the stress to the surrounding faults which can promote or inhibit the critical condition in a fault, thus evaluating the stress transfer from these large events could give us a better understanding regarding the fault potential to be advanced towards rupture. In this study, we investigate the effect due to these two large events by resolving the accumulated Coulomb stress change onto a multi-strike segment of the Poso fault. The increase in tectonic stress rate is also estimated which comes from the geodetic measurement of the coupling of triple-junction plate convergence. Based on the stress changes of large earthquake and the tectonic stress rate, we analyse the Coulomb stress changes time function on the Poso fault. The coulomb stress changes on the Poso fault due to the 2017 Poso earthquake vary, ranging from positive values of 7 kPa to 27 kPa in the central segment of the Poso fault, negative values of -4 kPa to -10 kPa in the northern segment of the fault, and less significant effects in the southern segment. The 2018 Palu-Donggala earthquake transferred a relatively high negative Coulomb stress ranging from -16 kPa to -27 kPa in the entire northern segment of the fault. Additionally, the cumulative Coulomb stress of both earthquakes decreased the Coulomb stress mainly on the northern part of the Poso fault, suggesting a delay in reaching its critical point. Furthermore, the analysis of the Coulomb stress changes time function shows that the stress accumulation of some segments in the north of the Poso fault are more modulated by the stress release due to large inland earthquakes while stress accumulation in the southern segments of the Poso fault are more controlled by the long-term tectonic stress loading.
Two-sample Mendelian Randomization Study: Iron Deficiency Anemia Increases the Risk of Epilepsy
Authors: Tong Yu , Liu Xianyun , Yang Wenqi , Qin Ningxiang , Peng Xi 
Published: August 2023

Abstract
Background
Several studies have suggested a possible association between iron deficiency anemia (IDA) and neurological dysfunction. In the present study, we aimed to investigate whether there is a causal relationship between IDA and epilepsy. We used a two-sample Mendelian randomization design.
Methods
We obtained summary data of IDA and epilepsy from the FinnGen consortium. Genetic variants significantly associated with iron deficiency anemia were used as instrumental variables. Epilepsy, focal epilepsy, and generalized epilepsy were the outcomes. We used inverse variance weighting (IVW) as the primary estimate, and other MR methods were used as supplementary measures. Sensitivity analysis was also performed to assess heterogeneity and pleiotropy.
Results
IVW estimates genetically predicted a causal relationship between iron deficiency anemia and the risk of epilepsy [odds ratio (OR), 1.153; 95% confidence interval (CI), 1.054–1.261; p = 0.002] and focal epilepsy (OR, 1.978, 95%CI, 1.576–2.482, p=3.975E-09), while no significant causal relationship was found with generalized epilepsy（OR, 1.103, 95%CI, 0.936-1.300, p=0.242）. There was no evidence of horizontal pleiotropy and heterogeneity in the sensitivity analysis.
Conclusions
This two-sample Mendelian randomization study found that iron deficiency anemia has a negative effect on the development of epilepsy. Clinical control of iron deficiency anemia may be helpful in the prevention of epilepsy.
Improved NSGA-III Algorithm for sloving the Optimal Allocation problem of Water Resources in Jinzhong City
Authors: zhu sifeng , li zixu 
Published: August 2023

Abstract
The phenomenon of water resources caused by unreasonable use of water resources is becoming more frequent, the demand for the optimization allocation of water resources is also increasing. The optimal allocation of water resources refers to the rational allocation of regional water resources by scientific and effective methods under the premise that the total amount of water resources is limited, comprehensively considering social、economic and ecological benefits. In this paper, the status of water resources in Jinzhong City is analyzed, the demand for optimizing the allocation of water resources in Jinzhong City is considered comprehensively, and a model of Jinzhong Water Resources Optimized Configuration Model with social benefits、economic benefits and ecological benefits is established. Finally, the improved NSGA-III algorithm is applied to the optimized configuration model of the water resources of Jinzhong City and conducted instance analysis, at the same time, it is compared with other intelligent algorithm solutions. Example analysis results show that the water resources optimization configuration based on the improved NSGA-III algorithm is less lacking、higher economic benefits and less discharged pollutants than the other intelligent algorithm optimization configuration solution based on the improved NSGA-III algorithm, and the feasibility of the optimization of water resources in Jinzhong City based on the improved NSGA-III algorithm is proved. Based on the different targets of decision makers for different goals, three optimized configuration solutions and three solutions are given, these configuration schemes also take into account social、 economic benefits and ecological benefits at the same time, which can effectively solve the problem of optimizing the configuration of water resources with multi sub-regions, multi water sources, multi users and multi multiple constraints, and can provide a new way of thinking for water resources allocation and planning in Jinzhong city.
Resveratrol and 3,3’-diindolylmethane differentially regulate aryl hydrocarbon receptor and estrogen receptor alpha to modulate diverse signalling pathways in MCF-7 human breast cancer cells
Authors: Das Siddhartha , Ulven Stine M , Matthews Jason 
Published: August 2023

Abstract
Background
Inhibitory crosstalk between estrogen receptor alpha (ERα) and aryl hydrocarbon receptor (AHR) regulates 17β-estradiol (E2)-dependent breast cancer cell signalling. ERα and AHR are ligand activated transcription factors that mediate the actions of E2 and pollutants such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), respectively. Like ERα, AHR binds many dietary compounds, including resveratrol (RES) and 3,3´diindolylmethane (DIM) often found in berries and cruciferous vegetables, respectively. RES activates ERα but inhibits AHR, whereas DIM activates ERα and AHR. Thus, dietary intake of RES and DIM will modulate both receptor activities. Here we used chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) and transcriptomics (RNA-seq) to study ERα and AHR crosstalk after treatment of MCF-7 human breast cancer cells with DIM, RES, E2 or TCDD alone or in combination.
Methods and Results
1 h or 6 h ligand treated MCF-7 cells were profiled for ERα and AHR binding sites using ChIP-seq or gene expression changes using RNA-seq, respectively. E2 resulted in 866 differentially expressed genes (DEGs), 532 of which were also bound by ERα. DIM and RES resulted in 577 and 446 DEGs, respectively, with 278 of the RES and 393 of the DIM DEGs also bound by ERα. An estrogen response element (ERE) was enriched after treatments with all three ligands, while an AHR response element (AHRE) was also enriched in the DIM-ERα but not after E2-ERα bound sites. An ERE was enriched in E2 + TCDD and DIM AHR bound sites but not for the TCDD-AHR bound sites. We found that 90% of the DEGs closest to an AHR binding site after DIM or E2 + TCDD also had an ERE and 60% of coregulated genes were common to both treatments. Collectively, our data show that DIM activates ERα and AHR like that of E2 + TCDD, while RES activates ERα but inhibits AHR.
Conclusion
The dietary compounds DIM and RES differentially regulate ERα and AHR action and likely other signalling pathways, which need to be considered to properly interpret their cellular and biological responses. These data further highlight the complex crosstalk between ERa and AHR and suggest that when both receptors are activated ERa dominants causing the preferential recruitment of AHR to ERa target genes.
Video-based Analysis of the Blink Reflex in Parkinson’s Disease Patients
Authors: Jansen Talisa S. , Güney Gökhan , Ganse Bergita , Monje Mariana H.G. , Schulz Jörg B. , Dafotakis Manuel , Antink Christoph Hoog , Braczynski Anne K. 
Published: August 2023

Abstract

We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s Disease (iPD) patients as well as healthy age-matched subjects. We also video-graphically assessed the effect of dopaminergic medication on the GTR in iPD patients, as well as frequency and velocity of reflex and non-reflex blinks. The Glabellar Tap Reflex is a clinical sign seen in patients e.g. suffering from iPD. Reliable tools to quantify this sign are lacking.
Methods: We recorded the GTR in 11 iPD patients and 12 healthy controls (HC) with a high-speed camera and a framerate of at least 180 images/s. In these videos, reflex and non-reflex blinks were analyzed for blink count and velocity in an automated fashion.
Results: With our setup, the GTR can be extracted from high-resolution cameras using landmarks of MediaPipe face algorithm. iPD patients did not habituate to the GTR; dopaminergic medication did not alter that response. iPD patients’ non-reflex blinks were higher in frequency and lower in velocity (mean width); dopaminergic medication decreased the frequency and increased the velocity – both in the direction of HC.
Conclusion: We developed a quantitative, video-based tool to assess the GTR and other blinking-specific parameters in HC and iPD patients. Further studies could compare the video data to electromyogram (EMG) data for accuracy and comparability, as well as evaluate the specificity of the GTR in patients with other neurodegenerative disorders, in whom the GTR can also be present.
Significance: The video-based detection of the blinking parameters allows for unobtrusive measurement in patients, a safer and more comfortable option.
Introduction of Pediatric Laparoscopic Inguinal Hernia Repair in Guatemala
Authors: Cóbar Juan P. , Nichol Peter F. 
Published: August 2023

Abstract
Purpose
Introducing new surgical techniques in a developing country can be challenging. Inguinal hernias in children are a common surgical problem, and open repair is the standard surgical approach. Laparoscopic repair has gained popularity in developed countries because of similar results. This study aimed to determine the outcomes following the introduction of laparoscopic repairs in Guatemala.
Methods
This retrospective analysis of prospectively collected data from all patients under 18 years who underwent laparoscopic repair at Corpus Christi Hospital in Patzun, Guatemala, from September 5th to September 8th, 2022.
Results
A total of 14 patients were included in the study. A board-certified pediatric surgeon and a Guatemalan physician performed all cases. The mean patient age was 7.6 years; 7 boys and 7 girls. All patients were interviewed at 7 days, 30 days, and 6 months. There were no postoperative infections, pain requiring re-evaluation, gonadal atrophy, or hernia recurrence.
Conclusion
Under controlled circumstances with limited but proper equipment and disposables, laparoscopic inguinal hernia repairs can be introduced and performed in a developing country with a risk complication profile comparable to that in developed countries. This study provides promising evidence of laparoscopic repair feasibility and safety where surgical resources are limited.
Nucleoporin NUP98 suppresses the basal HIV-1 gene expression through its N-terminal domain
Authors: Chintala Kumaraswami , Yandrapally Sriram , Faiz Warisha , Kispotta Chhaya Rani , Mishra Krishnaveni , Banerjee Sharmistha 
Published: August 2023

Abstract
Background: Nucleoporins (NUPs) are cellular effectors of HIV-1 replication that support nucleocytoplasmic trafficking of viral components, and non-canonically promote viral DNA integration into the host genome and proviral DNA transcription. However, some of the NUPs were also shown to aid the host restriction factor MX2 to inhibit the replication of HIV-1, indicating both pro- and anti-viral role for NUPs towards HIV-1 replication.
Results: Here, we examined the expression of NUPs such as NUP98, NUP62, NUP155, NUP133, NUP107 and NUP85 during HIV-1 infection, and observed that the expression of NUP98 was downregulated. However, its cellular localization remained unchanged. Over-expression, supplemented with knockdown studies indicated that NUP98 negatively affected HIV-1 LTR promoter activity. This negative effect on promoter activity was independent of HIV-1 Tat suggesting that NUP98 prevents the basal viral gene expression from HIV-1 LTR promoter. Further we demonstrated that NUP98 associated with HIV-1 LTR promoter, and that NUP98-mediated perturbation in viral gene transcription was independent of host factors, HEXIM1 and NF-kB. The attenuation of HIV-1 LTR-driven transcription was predominantly contributed by the N-terminal domain of NUP98.
Conclusions: Our experimental evidence for the first time demonstrates that NUP98 associates with HIV-1 LTR and suppresses the viral gene transcription. HIV-1, attempting to downregulate NUP98, supports the concepts of evolutionary conflicts between viruses and host anti-viral factors.
Nanopore Sequencing for smear-negative pulmonary tuberculosis - a multicentre prospective study in China
Authors: Yan Xiaojing , Yang Guoli , Wang Yunfei , Wang Yuqing , Cheng Jie , Xu Peisong , Qiu Xiaoli , Su Lei , Liu Lina , Geng Ruixue , You Yingxia , Liu Hui , Chu Naihui , Ma Li , Nie Wenjuan 
Published: August 2023

Abstract

Purpose: In this prospective study, the diagnosis accuracy of nanopore sequencing-based Mycobacterium tuberculosis (MTB) detection was determined through examining sputum or bronchoalveolar lavage ﬂuid (BALF) samples from pulmonary tuberculosis (PTB) -suspected patients. Compared the diagnostic performance of nanopore sequencing, mycobacterial growth indicator tube (MGIT) culture and Xpert MTB/rifampin resistance (MTB/RIF) assays.
Methods: Specimens collected from suspected PTB cases across China from September 2021 to April 2022 were tested then assay diagnostic accuracy rates were compared.
Results: Among the 111 suspected PTB cases that were ultimately diagnosed as PTB, the diagnostic rate of nanopore sequencing was statistically significant different from other assays (P < 0.05). Fleiss’ kappa values of 0.219 and 0.303 indicated fair consistency levels between MTB detection results obtained using nanopore sequencing versus other assays, respectively. Respective PTB diagnostic sensitivity rates of MGIT culture, Xpert MTB/RIF and nanopore sequencing of 36.11%, 40.28% and 83.33% indicated superior sensitivity of nanopore sequencing. Analysis of area under the curve (AUC), Youden’s index and accuracy values and the negative predictive value (NPV) indicated superior MTB detection performance for nanopore sequencing (with Xpert MTB/RIF ranking second), while the PTB diagnostic accuracy rate of nanopore sequencing exceeded corresponding rates of the other methods.
Conclusions: In comparison with MGIT culture and Xpert MTB/RIF assays, BALF’s nanopore sequencing provided superior MTB detection sensitivity and thus is suitable for testing of sputum-scarce suspected PTB cases. However, negative results obtained using these assays should be confirmed based on additional evidence before ruling out a PTB diagnosis.
Adaptive Hierarchical Knowledge Distillation from GNNs to MLPs
Authors: Zhang Junfeng , Xie Cheng , Yu Beibei , Yang Rui 
Published: August 2023

Abstract
Knowledge distillation has attracted much attention in knowledge and information systems.
The latest distillation methods use Kullback-Leibler Divergence to distill complex models from simple models, yielding surprising results.
However, due to the difference in the capacity of GNNs and MLPs models, distilling GNNs through fixed dimensions and layers of MLPs will inevitably cause information loss.
Also, the gap between the features produced by GNNs and the features produced by MLPs gradually becomes larger as the number of layers increases.
To this end, we propose an adaptive hierarchical distillation framework that distills GNNs through MLPs with variable dimensions and layers to ensure the integrity of the distilled information.
Specifically, we use a Neural Architecture Search(NAS) to adaptively find MLPs with appropriate dimensions and layers for each layer of GNNs.
Then, the graph structure information is distilled from GNNs layer by layer, which makes the student neural network(NN) structure can better match with the teacher model, and the features are better aligned, so as to better learn the graph structure information.
At last, the student model distilled to the complete information is used in the downstream learning task.
Experimental results on various datasets show impressive improvements in node classification tasks compared with previous state-of-the-art methods.
An MCDM Approach for Enhancing Breast Cancer Diagnosis Using AHP and Bidirectional RNN with Bayesian Optimization
Authors: Hoda Sk Anamul , Mondal Abhoy Chand 
Published: August 2023

Abstract
On average, one woman loses her life to breast cancer every minute. On the other hand, there are currently an unprecedented number of grounds for optimism. Breast cancer patients have a greater surviving chance if they obtain an early diagnosis of the disease. In order to conduct a more accurate assessment of machine learning models, the purpose of this research is to make use of an innovative strategy that integrates artificial intelligence (AI) with a multi-criteria decision-making (MCDM) process. The MCDM technique[1] that has been implemented incorporates the Preference AHP technique for Ranking Evaluations. The neural network model considered is the Bidirectional Recurrent Neural Network and for hyper-parameter tuning and optimization of the performance, Bayesian Optimization is considered. The proposed model consisting of BRNN and BES is found to be the most advantageous model for the early identification of breast cancer. It was able to provide a performance accuracy of 99.5%
Empathic Resonance and Discretion in Public Administration: Interplay of Mental Health and Artificial Intelligence among Street-Level Bureaucrats
Authors: Salah Mohammed , Alhalbusi Hussam , Alshallaqi Mohammad , Abdelfattah Fadi 
Published: August 2023

Abstract
This article investigates the influence of a novel construct, Empathic Resonance and its three dimensions—helping behavior, empathic concern, and perspective-taking—on street-level bureaucrats’ discretion. Mental health factors’ effect on bureaucrats’ behavior during implementation and enforcement through the moderating role of Artificial Intelligence (AI) perception were also examined. Approximately 1,214 bureaucrats were surveyed about various aspects of Empathic Resonance, including its dimensions, discretion, mental health, and AI perception. Empathic Resonance, characterized by the ability to understand, assist, and maintain positive relationships with clients, and regulate and comprehend one’s own emotions and those of others, significantly impacted discretion, and mental health among street-level bureaucrats. Analyses included the contributions of helping behavior, empathic concern, and perspective-taking to Empathic Resonance, and showed that certain mental health factors, including depression, anxiety, and stress, negatively influenced bureaucrats’ discretion; this relationship was intensified by their views regarding AI. These findings highlight the importance of Empathic Resonance, its dimensions, mental health, and AI perception in understanding and enhancing discretion among street-level bureaucrats and emphasize the need for further research.
Shock Wave at the Rear Surface of Reinforced Concrete Panel - A Numerical Investigation
Authors: Nguyen Xuan Bang , Mai Viet Chinh 
Published: August 2023

Abstract
The utilization of sacrificial walls for safeguarding human life and critical structures presents a captivating subject within the realm of blast resistance design. Sacrificial layers can be strategically positioned in front of structures requiring protection, aiming to absorb the energy generated by blasts and consequently mitigate the impact of shock waves on non-sacrificial structures. The efficiency of shock wave reduction stands as a pivotal criterion in the formulation of such protective barriers. This simulation-based study investigates the characteristics of shock waves behind protective barriers. Numerical models are constructed using the Abaqus Explicit platform, employing the Coupled Eulerian-Lagrangian (CEL) concept to simulate wave propagation within the air medium. The analysis outcomes shed light on the impact of factors such as concrete strength, panel dimensions, and others, on the peak magnitude of shock waves at the rear surface of the sacrificial wall.
Occupational Stress and Coping Strategies in Chinese Medical Research Graduate Students: An Investigation into the Origins of Stress and Recommendations for Effective Mitigation
Authors: Jiang Weiwei , Gong Zhenye , Xu En , Hu Weiguo , Jin Haijiao , Li Xiaoyang 
Published: August 2023

Abstract
Background
Medical research graduate students face considerable stress that can adversely impact their wellbeing and performance. A comprehensive understanding of stress sources, effects and coping methods is needed to create a supportive academic environment. This study investigated the multidimensional stress landscape among medical research graduate students.
Methods
A mixed-methods approach combining an online survey (N = 186) and semi-structured interviews was utilized to examine stress experiences among graduate students at two hospitals in Shanghai. Quantitative data was analyzed using descriptive statistics, comparative analysis and correlation methods. Qualitative data was thematically analyzed.
Results
High stress levels were reported, especially regarding research workload (mean 3.74/5) and publishing demands (mean 3.92/5). Key stressors were academic requirements, career uncertainty and work-life imbalance. Females exhibited more work-life and relationship stress. Doctoral students showed greater publishing stress. Coping strategies varied by demographics; females and older students preferred counseling while males used physical activities more.
Conclusions
The complex interplay of stress sources, impacts and coping methods with demographic factors emphasizes the need for tailored interventions to support graduate students. A multidimensional approach is recommended to address this significant issue. Findings provide insights to foster graduate student wellbeing and growth.