bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel MiRNA Markers and Their Mechanism of Esophageal Squamous Cell Carcinoma (ESCC) based on TCGA
Authors: Yuan Ping , Gao Xiaoyan , Xiong Zijun , Shen Jun , Xing Huanhuan , Yang Ruofan , Zhao Liang , Liu Xi , Gu Jiaowei , Liu Wenting 
Published: August 2023

Abstract

Background
MiRNAs are promising biomarkers for early ESCC detection and prognostic prediction. This study aimed to explore the potential biomarkers and molecular pathogenesis in early diagnosis of esophageal squamous cell carcinoma (ESCC).
Results
48 differentical expressed miRNAs (DEMs) and 1319 differentical expressed genes (DEGs) were identified between 94 ESCC tissues and 13 normal esophageal tissues in TCGA. Among 6558 target genes of the 48 DEMs, 400 are also in 1319 DEGs. Top GO and KEGG enrichment of these 400 DEGs includes cell cycle, proteoglycans in cancer, p53 signaling pathway, protein digestion and absorption, transcriptional dysregulation in cancer, and oocyte meiosis, where 66 DEGs are in these six biological pathways, called GO-DEGs. In total, 32 DEMs downregulated these 66 GO-DEGs, where 22 DEMs were verified by different types of experiments in ESCC tissues, cells or serum from literature. For the other 10 DEMs, only hsa-miR-34b-3p showed no significant correlation with the overall survival of ESCC patients by single-factor cox regression analysis. Novel nine DEMs related to ESCC were: three down-regulated (hsa-miR-215-5p, hsa-miR-194-3p, hsa-miR-29b-2-5p), and six up-regulated (hsa-miR-944, hsa-miR-205-3p, hsa-miR-4652-5p, hsa-miR-452-3p, hsa-miR-6499-3p, and hsa-miR-767-5p).
Conclusion
This study identified nine novel miRNA markers potentially related to the diagnosis of ESCC (hsa-miR-944, hsa-miR-205-3p, hsa-miR-4652-5p, hsa-miR-452-3p, hsa-miR-6499-3p, hsa-miR-767-5p, hsa-miR-215-5p, hsa-miR-194-3p, hsa-miR-29b-2-5p) and participated in the occurrence and development of ESCC through cell cycle, proteoglycans in cancer, p53 signaling pathway, protein digestion and absorption, transcriptional dysregulation in cancer, and signaling pathway for oocyte meiosis.
Cheetah Optimizer for Multi-objective Optimization Problems
Authors: Sharma Shubhkirti , Kumar Vijay 
Published: August 2023

Abstract

In this paper, a new algorithm named multi-objective cheetah optimizer is presented for solving multi-objective optimization problems. Cheetah optimizer is a new optimization algorithm, which has been proven to be more effective for solving large-scale and complex optimization problems. The proposed MOCO is developed from the single-objective cheetah optimizer by introducing the concepts of non-dominance sorting and archiving. Non-dominance sorting is used to get Pareto optimal solutions. An Archive is used for improving and maintaining their distribution. The experimental results show that the proposed algorithm performs better than the existing multi-objective algorithms in terms of fitness value. The Pareto-optimal fronts exhibit good convergence and coverage. The empirical comparison results of the proposed algorithm with existing multi-objective algorithms exhibit its competitiveness. Simulation studies were performed on well-known multi-objective benchmark functions and real-world engineering design optimization problems to verify the proposed MO algorithm and ensure its applicability in real-life scenarios. Comparative analysis is done for the proposed multi-objective cheetah optimizer and other multi-objective algorithms that have recently been proposed.
Neurophysiologic evidence of motor imagery in lower limb amputees: an event-related potential study
Authors: Wei Conghui , Hu Bo , Yuan Zhen , Xiong Ziying , Shan Xinying , Luo Jun 
Published: August 2023

Abstract
Background This study aims to investigate w lower limb amputation affects the motor imagery (MI) process. In order to understand the potential neural mechanisms of phantom limb pain, we have measured the cerebral activation of event-related potential (ERP) in lower limb amputees and healthy controls with comparing the relationship between phantom limb pain (PLP) and cerebral activation. In addition, there is a model of motor imagery based on lower limb amputation by using deep learning techniques.
Methods This study includes 18 lower limb amputees and 20 healthy controls, who performed a bilateral lower limb motor imagery task. A 256-channel electroencephalographic system has been recorded to capture cerebral activation. Electrodes C3 and C4 (corresponding to the sensorimotor area) were selected to analyze the cerebral activation of the ERP. Besides, the level of PLP in the lower limb amputees has been assessed using the visual analog scale (VAS), while the correlation between the level of PLP and cerebral activation has been computed. Lastly, we have decoded the post-amputation motor imagery using deep learning techniques.
Results The cerebral activation degree has been calculated as the potentials of electrodes C3 and C4 at 0-800 ms. What is more, the ERP amplitudes are smaller in healthy controls compared with those in lower limb amputees, and the correlation analysis shows a significant positive correlation between the level of PLP and cerebral activation in the sensorimotor area (P < 0.05). Finally, the deep learning training accuracy is as high as 83.7%.
Conclusion Lower limb amputees should activate more neural activity to perform MI tasks, and PLP is involved in cerebral activation processes which may influence neural plasticity in sensorimotor areas. Additionally, the classification of MI potentials can be used as a basis for brain-computer interface (BCI) control strategies aimed at achieving more natural control of neural prostheses or robotic arms.
Data-driven Method for Fault Diagnosis in Braking System of Urban Rail Vehicle Based on Reduced Kernel Principal Component Analysis
Authors: OUYANG Jian , LIN Hao , HONG Ye , ZHANG Yanzhong 
Published: August 2023

Abstract
Condition monitoring and fault diagnosis in braking system of urban rail vehicles have important practical value, and can directly improve the stable operation of equipment and passenger comfort. In this study, a data integration system was established to consistently acquire accurate online information, and then the operating conditions were extracted from a massive historical dataset. Kernel principal component analysis (KPCA) is widely used for fault detection and diagnosis, however, the approach is limited by the high computational cost and memory requirements of large-scale training datasets. Herein, the reduced KPCA (RKPCA) approach is developed. The proposed method reduced redundant data in the training dataset by 32.84%. Furthermore, fault detection performance of RKPCA is superior to those of principal component analysis and KPCA.
Temporal Analysis of Drought Risk in Kilis (in Turkey)
Authors: Gömleksiz Türkan Zengin , Özdemir Emrah Tuncay 
Published: August 2023

Abstract

Drought identification and monitoring are crucial for water resource manage-ment. Kilis province is facing the risk of drought and it is located on the southernborder of Turkey. Due to the Syrian war, Kilis frequently receives refugees andis crucial from a strategic standpoint. In this study, drought analysis was carriedout using standard precipitation index (SPI), standardized precipitation evapo-transpiration index (SPEI) and normalized difference vegetation index (NDVI)using meteorological data recorded from Kilis Meteorology Station between 1959-2022 and Landsat 8-9 satellite data. In the study, SPI and SPEI indices werecalculated in two different periods. (1959-1990 and 1991-2022). It is clear from ananalysis of the SPI that extremely wet conditions don’t show significant seasonal change but rather show an increase over the long term and at the mesoscale. Thisis supported by 3-6-12 month SPI and SPEI analyses. Extremely dry conditions,show an increase over the long term but remain rather stable at the mesoscaleand seasonal levels. Similar to this, it can be demonstrated by an examination of the SPEI that extremely wet conditions do not exhibit any apparent seasonal,mesoscale, or long term variations. On the other hand, across the long-term,seasonal, and mesoscale periods, there appears to be a rise in extremely dry cir-cumstances. Given the escalating drought, it’s crucial to implement provincial plans, essential actions, and raise public awareness. This is necessary to effectively manage the intensified and prolonged drought in the research area, highlighting the significance of drought management strategies within the province.
Physical activity levels, willingness, and preferences in liver Cancer Patients: A Cross-Sectional Study
Authors: Chen Haiyan , Zhou Huimin , Wu Bo , Lu Hanxiao , Dong Zhixia , Zhang Shuo , Gu Yuanlong , Yang Jun 
Published: August 2023

Abstract
Background: Despite the benefits and feasibility of physical activity for cancer survivors, a large number of liver cancer patients were insufficient active. Therefore, the current study to identify the physical activity level, willingness, and preferences of liver cancer patients and determine any associations with selected demographic and medical variables.
Methods: A cross-sectional study was performed on a sample of 204 liver cancer patients. These patients completed a questionnaire anonymously, which collected information about their general and medical characteristics, as well as their willingness and preference to participate in physical activity programs. The International Physical Activity Questionnaire-Short Form (IPAQ-S) was used to determine their current physical activity levels.
Results: Only 29 participants (14.2%) were active but 150(73.5%) declared an interest in physical activity programs. Multivariate logistic regression showed that willingness to exercise was associated with time since diagnostic (OR:1.905, 95% CI:1.017 to 3.567, beyond 12 months vs. up to 12 months), current physical activity (OR:3.961, 95% CI: 1.159 to 13.538 for active vs. insufficiently active according to the recommendations set by the American Cancer Society). Patients lived outside city were less inclined to exercise (OR: 0.45, 95% CI: 0.23–0.86) than those who lived within city. Patients with higher scores on the Tampa Scale of Kinesiophobia were less likely to engage in the exercise program (OR:0.889, 95% CI: 0.831 to 0.950). The participates expressed a preference for exercise programs instructed by an oncologist, but also indicated that they were willing to do unsupervised exercise at home.
Conclusions: Liver cancer patients have been found to have insufficient activity levels; however, they have expressed a willingness to participate in personalized physical activity programs. The results of this survey can assist in tailoring interventions to help these patients achieve the recommended levels of physical activity.
Evaluating CNN Architectures Using Attention Mechanisms: Convolutional Block Attention Module, Squeeze, and Excitation for Image Classification on CIFAR10 Dataset
Authors: Ganguly Abhisek , Ruby A. Usha , J George Chellin Chandran 
Published: August 2023

Abstract
This paper compares the performance of various popular convolutional neural network (CNN) architectures for image classification on the CIFAR10 dataset. The comparison includes CNN architectures such as Inception V3, Inception-ResNet-v2, ResNetV1, and V2, ResNeXt, MobileNet, and DenseNet, with the addition of two attention mechanisms - Convolutional Block Attention Module (CBAM), and Squeeze and Excitation (SE). CBAM and SE are believed to improve CNNs' performance, especially for complex images with multiple objects and backgrounds. The models are evaluated using loss and accuracy. The main focus of this study is to identify the most effective CNN architecture for image classification on the CIFAR10 dataset with attention mechanisms. The study aims to compare the accuracy of various CNN architectures with and without attention mechanisms and to identify the critical differences between these architectures in terms of their ability to handle complex images. The findings of this study could have implications for developing advanced CNN architectures that can potentially improve the accuracy of computer vision systems in various applications.
Development of an interdisciplinary training program about chronic pain management for healthcare professionals: part of an effectiveness-implementation study
Authors: Munneke Wouter , Demoulin Christophe , Nijs Jo , Morin Carine , Kool Emy , Berquin Anne , Meeus Mira , Kooning Margot 
Published: August 2023

Abstract
Background
Many applied postgraduate pain training programs are monodisciplinary, while interdisciplinary training programs potentially improve interdisciplinary collaboration, which is favorable within the management of patients with chronic pain. However, there is limited research on the development and effectiveness of interdisciplinary training programs, especially in the context of chronic pain.
Methods
This study aimed to describe the development and implementation of an interdisciplinary training program regarding the management of patients with chronic pain, which is part of an implementation project. The training program contained two workshops of seven hours each and two e-learning modules and was targeted at general practitioners, (home)nurses, psychologists, physiotherapists, occupational therapists, dentists and pharmacists. An interdisciplinary expert panel was organised to prioritise learning objectives, rate healthcare professionals' current compliance with the learning objectives and formulate the barriers and needs relating to training content and the implementation of chronic pain management in clinical practice.
Results
The interdisciplinary expert panel considered the learning objectives as very important and current compliance was rated as relatively low. A wide variety of barriers and needs for Belgian healthcare professionals were formulated within the COM-B domains; capability, opportunity, motivation and behaviour. The interdisciplinary program about the management of patients with chronic pain aimed to promote and facilitate the implementation of the biopsychosocial model and pain science education into clinical practice.
Conclusion
We designed an interdisciplinary training program regarding the management of patients with chronic pain that can be used as a foundation for developing future training programs to enhance the quality of future training programs.
Robust identification of shared key genomic biomarkers for diagnosis and therapies of pancreatic cancer with type-2 diabetes
Authors: Hossen Md. Bayazid , Islam Md. Ariful , Horaira Md. Abu , Ali Md. Ahad , Himu Umma Hafsah , Kibria Md. Kaderi , Reza Md. Selim , Sarker Arnob , Hossen Md. Alim , Kabir Md. Hadiul , Mollah Md. Nurul Haque 
Published: August 2023

Abstract

Background
Pancreatic cancer (PC) and type-2 diabetes (T2D) are both complex diseases and they stimulate each other for which PC patients with T2D may reach to the severe condition quickly. So, the discovery of shared key genomic biomarkers (sKGBs), pathogenetic processes, and associated drug molecules is essential for simultaneous diagnosis and therapies.
Methods
Integrated robust statistics and bioinformatics tools and databases were employed to find the necessary results.
Results
We robustly identified 52 shared differentially expressed genes (sDEGs) that can separate both T2D and PC patients from the control samples. The protein-protein interaction (PPI) network analysis of sDEGs provided top-ranked six sDEGs (GAPDH, CASP1, MYD88, TNFRSF1A, TIMP1, TNFSF10) as the PC and T2D causing sKGBs. The random forest-based prediction and the Box-plot analyses results with TCGA and GTEx data significantly supported the association of sKGBs with both T2D and PC. Functional enrichment analysis of sKGBs significantly disclosed some crucial biological processes, molecular functions, and pathways that are associated with the development of both T2D and PC. The DNA methylation analyses results showed that five sKGBs (GAPDH, CASP1, MYD88, TNFRSF1A, TNFSF10) are hyper-methylated and enriched to the apoptosis processes which indicates the involvement of these sKGBs with the development and progression of PC. The immune infiltration level analyses indicated that the gene GAPDH is negative, and the rest five sKGBs are positively associated with different infiltrating immune cells. Finally, we suggested sKGBs-guided six candidate drug agents (NVP-BHG712, Olaparib, Irinotecan, Gliquidone, Herbacetin, and Linsitinib) by the screening through molecular docking, ADME/T, and DFT analysis for therapies of PC with T2D.
Conclusions
Individual studies on T2D and PC jointly supported our proposed sKGBs as both T2D and PC-causing genes. Similarly, sKGBs-guided drug molecules also received support as the candidate drug molecules for both T2D and PC. Therefore, the finding of this study might be valuable resources for diagnosis and therapies of PC with T2D.
Structural requirements for nucleophilicity and antioxidant capacity on quinoline derivatives: a theoretical study
Authors: Borges Rosivaldo , Borges Vancley S. , Santos Igor B. , Souza Ana C. S. P. , Melo Fernanda P. A. , Aguiar Christiane P. O. , Sousa Daniel S. , Sousa Alexsandro G. , Silva Albérico B. F. 
Published: August 2023

Abstract
Context
Quinoline derivatives play a crucial role in antimalarial therapy, and their biological properties are highly dependent on the basicity, particularly on the amine groups. The Amine moieties significantly contribute to the antioxidant capacity of quinoline derivatives through electron transfer mechanisms. Notably, each amine group has a distinct contribution to the antioxidant capacity, with the aliphatic amine displaying a potent electron donating capacity, the exo-aromatic amine showing an intermediate capacity, and the endo-aromatic amine demonstrating the least potent capacity. Our findings reveal a synergistic effect between the 4-amino-quinoline and tertiary amine in quinoline derivatives, enhancing their overall antioxidant capacity. However, the presence of the chlorine atom decreases its contribution as an electron withdrawing group. In comparison, chloroquine exhibits a higher antioxidant capacity than quinine, and their respective electron donation abilities are correlated with their pKa values. The synergistic effect between the 4-amino-quinoline and tertiary amine is particularly evident in chloroquine, surpassing the antioxidant capacity of 6-methoxy-4-methyl-quinoline moiety in quinine. Additionally, we have successfully proposed two new strategies for the development of chloroquine derivatives.
Methods
A theoretical study was conducted to investigate the structure-nucleophilicity and antioxidant capacity of quinoline derivatives, specifically chloroquine and quinine, through electron transfer using DFT/B3LYP/6–31 + G(d,p) methods. The HOMO values were utilized to assess nucleophilicity, while the ionization potential was indicative of electron donating capacity. To explore different aspects of the molecules, four approaches of molecular modifications were proposed: molecular fragmentation, molecular modification on amine moieties, and molecular association. These approaches aimed to provide insights into the relationships between molecular structure and nucleophilicity or antioxidant capacity. The study also involved the development of new strategies in drug design, leveraging theoretical methods to explore potential modifications and optimizations for quinoline derivatives.
A Rapid Investigation of Artificial Intelligence Generated Content Footprints in Scholarly Publications
Authors: Tang Gengyan , Eaton Sarah Elaine 
Published: August 2023

Abstract

This study reports on a novel phenomenon observed in scholarly publications. Some research articles unrelated to the field of artificial intelligence (AI) generate content (AIGC contain confusing phrases such as “As an AI language model...”. We conceptualize this phenomenon as “AIGC footprints”. To provide early evidence, we conducted a small-scale sample investigation by collecting 25 articles. We found that the appearance of AIGC footprints corresponds to the time when the public version of ChatGPT was launched. These 25 articles were published by authors from countries in Central Asia, South Asia, and Africa. Among these authors, there were assistant professors (n = 5), Ph.D. researcher (n = 6), as well as Ph.D. and master’s students (n = 3). Single authors (n = 16) and single affiliations (n = 23) were more common. Analysis of the article content revealed that some authors utilized ChatGPT for literature reviews (n = 11) or idea generation (n = 11). Articles with AIGC footprints are widely distributed across various professional fields, such as Communication and Media Studies (n = 3), Cybersecurity (n = 2), Civil Engineering (n = 2), and Agricultural Technology (n = 2). The 25 articles with AIGC footprints were published in 18 different academic journals. Most of the academic journals did not disclose their APCs on their websites (n = 11), nor were they indexed by Web of Science, Scopus, and DOAJ (n = 17). The emergence of AIGC footprints reflects the potential challenges faced by scholarly publishing and higher education in ensuring quality assurance, as well as indicating potential problems in research integrity. We provide several recommendations, including the development of best research practice guidelines in the context of AIGC, integrating transparent use of AIGC into higher education instruction, and fostering ethical leadership.
Physiochemical Analyses of Underground Water (Spring and Handpump Water) collected from Kargil District, Ladakh UT, India
Authors: Banoo Hamida , Banoo Kulsooma , Parveen Kousar , Dar Umar , SHAHNAWAZ MOHD. 
Published: August 2023

Abstract
Out of the 71% water available on the earth surface only 3% is freshwater. Most of the fresh water (96.5%) is locked in the glaciers and only 3.5 % is available for drinking. Due to anthropogenic activities and environmental changes, the drinking water is getting contaminated and the drinking water leads to various diseases. So having a quality water is becoming challenging day by day. Various low-income countries are facing shortage of safe drinking water. In the present study an attempt was made to assess the quality of drinking water from two main sources (Silmoo (Gongma Ranthak Lakha) Spring water and GM Pore handpump water) in the Kargil District, Ladakh UT, India. Total 10 physico-chemical parameters viz. Colour, Taste, Odor, Temperature, pH, Conductivity, Turbidity, Total hardness, Calcium concentration, and Magnesium concentration were assessed as per standards. Most of the parameter of both the water sources were found within the permissible limits as per BIS and WHO. However, we have reported higher magnesium concentration (82.54mg/L) in Silmoo (Gongma Ranthak Lakha) Spring water samples, which is considered good for health, perhaps improving muscular function and lowering your risk of cardiovascular disease.