bluuebunny/crossref_metadata_2025_split huggingface dataset:
A blind area information perception and AR assembly guidance method based on RGBD data for dynamic environments and user study
Authors: Hou Zhenghang , Zhang Qiang , Wang Shuxia , He Weiping , Zhang Shaohua 
Published: July 2023

Abstract

In this research, a blind area information perception and guidance approach for dynamic context is proposed as a solution to the issue of difficult and time-consuming assembly in blind areas. The proposed approach involves the utilization of real-time RGBD data to perceive both blind area context and operator hand information. The resulting data is then used to visualize the blind area scene and provide assembly guidance through the application of augmented reality technology. Unlike conventional methods, the proposed solutions are based on dynamic RGBD data rather than static predefined CAD models, making it simpler to configure and adapt to more scenarios. A user study was designed and conducted to confirm the feasibility of the suggested approach. The results indicate that the suggested approach can decrease assembly time by 49.5%, greatly lower the percentage of assembly errors, reduce the mental load on the workers, and significantly enhance their operational experience.
Unique vulnerability of RAC1-mutant melanoma to combined inhibition of CDK9 and immune checkpoints
Authors: Chernoff Jonathan , Cannon Alexa , Budagyan Konstantin , Uribe-Alvarez Cristina , Kurimchak Alison , Araiza-Olivera Daniela , Peri Suraj , Zhou Yan , Cai Kathy , Duncan James 
Published: July 2023

Abstract
RAC1 P29S is the third most prevalent hotspot mutation in sun-exposed melanoma. RAC1 alterations in cancer are correlated with poor prognosis, resistance to standard chemotherapy, and insensitivity to targeted inhibitors. Although RAC1P29S mutations in melanoma and RAC1 alterations in several other cancers are increasingly evident, the RAC1-driven biological mechanisms contributing to tumorigenesis remain unclear. Lack of rigorous signaling analysis has prevented identification of alternative therapeutic targets for RAC1P29S-harboring melanomas. To investigate the RAC1P29S-driven effect on downstream molecular signaling pathways, we generated an inducible RAC1P29S expression melanocytic cell line and performed RNA-sequencing (RNA-seq) coupled with multiplexed kinase inhibitor beads and mass spectrometry (MIBs/MS) to establish enriched pathways from the genomic to proteomic level. Our proteogenomic analysis identified CDK9 as a potential new and specific target in RAC1P29S-mutant melanoma cells. In vitro, CDK9 inhibition impeded the proliferation of in RAC1P29S-mutant melanoma cells and increased surface expression of PD-L1 and MHC Class I proteins. In vivo, combining CDK9 inhibition with anti-PD-1 immune checkpoint blockade significantly inhibited tumor growth only in melanomas that expressed the RAC1P29S mutation. Collectively, these results establish CDK9 as a novel target in RAC1-driven melanoma that can further sensitize the tumor to anti-PD-1 immunotherapy.
Numerical Investigation of the Effect of Swab and Surge Pressure on the Time-Dependent Wellbore’s Development of Natural Fractures
Authors: Lenwoue Arnaud Regis Kamgue , Li Zhonghui , Hu Pengjie , Sun Wentie , Marembo Micheal , Djouonkep Lesly Dasilva Wandji 
Published: July 2023

Abstract
During drilling operations, the wellbore pressure is subjected to fluctuations caused by some factors such as swab and surge pressure which can result in wellbore instability. In this research, a numerical model is built using the ABAQUS software to demonstrate the effect of swab and surge pressure on the wellbore’s growth of natural fracture and the time dependent pore pressure. A MATLAB program is then developed to determine the safe mud window by computation of the time dependent wellbore collapse pressure and fracture pressure. The results demonstrated that the fracture width as a function of time profiles increased with the swab and surge pressure. The biggest percentage increase of the fracture width after incorporation of swab and surge pressure was 70%. Interestingly, an increase of 69% of the fracture width was observed in the near wellbore region after application of swab and surge pressure. However, the fracture length, the loss circulation rate and the pore fluid pressure remained relatively unchanged after integration of swab and surge. The analysis of the time-dependent wellbore stability revealed that the mud window, which was initially constant, narrowed with the time after integration of swab and surge pressure. The collapse pressure without swab and surge pressure increased by 14% while the fracture pressure decreased by 14%. The numerical model was verified by evaluating the gap between ABAQUS numerical results and analytical solutions and good consensus was observed after comparisons. The model developed in this research can be useful for wellbore strengthening studies to determine the optimal Particle Size Dimension necessary to plug the natural fractures and mitigate the lost circulation.
Fake Detection in Imbalance Dataset by Semi-Supervised Learning with GAN
Authors: Bordbar Jinus , Ardalan Saman , Mohammadrezaei Mohammadreza , Shiri Mohammad Ebrahim 
Published: July 2023

Abstract
As social media grows faster, harassment becomes more prevalent, which leads to the consideration of fake detection as a fascinating field among researchers. The graph nature of data, with a large number of nodes, causes different obstacles, including a considerable amount of unrelated features in matrices, as well as high dispersion and imbalanced classes in the dataset. To address these issues, Auto-encoders and a combination of semi-supervised learning and the GAN algorithm, called SGAN, were used. This paper deploys a smaller number of labels and applies SGAN as a classifier. The results of this test showed that the accuracy reached 81% in detecting fake accounts using only 100 labeled samples.
Perturbations in Microbiota Composition as a Novel Mediator in Neuropsychiatric,
Neurological and Mental Disorders: Preventive and Therapeutic
Complementary Therapies to Balance the Change
Authors: Moghadam Majid Taati , Ramírez-Coronel Andrés Alexis , Darijani Samaneh , Akbarizadeh Majid Reza , Naderifar Mahin , Soltaninejad Simin , Shahbazi Shahla , Dousari Amin Sadeghi , Mojtahedi Ali , Akhavan-Sigari Reza 
Published: July 2023

Abstract:
Although microbiology and neurology are separate disciplines, they are linked to some
infectious and neurological diseases. Today, microbiome is considered as one of the biomarkers of
health by many researchers. This has led to the association of microbiome changes with many
neurological diseases. The natural microbiota has many beneficial properties. If disrupted and altered,
it can lead to irreversible complications and many neurological diseases. Therefore, according to
previous studies, some preventive and therapeutic complementary therapies can prevent or restore
microbiome dysbiosis and inflammation in the nervous system. With our current perception of the
microbiological basis for different neurological disorders, both aspects of drug treatment and control of
perturbations of the microbiome should be considered, and targeting them simultaneously will likely
help to attain favorable results.
Cold Non-equilibrium Plasma as a Tool for Air Disinfection and Destruction
of Biological Objects
Authors: Ponizovskiy Alexander Zalmanovich , Plochov Alexander Vasilevich 
Published: July 2023

Introduction:
The paper presents the results of experiments on the purification of air con-taminated with S. aureus, as well as the destruction of yeast under the action of cold nonequilibrium plasma of a nanosecond streamer corona discharge.

Methods:
It is shown that plasma is an effective means for destroying both bacteria in the air and biological objects on the surface. The main parameters of the nanosecond streamer corona discharge and their relationship with the operating time of the active plasma components were determined. It was experimentally established that the inactivation time of 80% of S. aureus bacteria with a con-centration of 2.1∙104 KOE m-3 was 0.4 s with a specific energy of 28 J∙l-1.

Results:
The results of measurements of the dependence of the yeast destruction degree on the yeast size, the time of direct exposure to the nanosecond streamer corona discharge, active elements of cold nonequilibrium plasma, and third-party ultraviolet radiation are presented.

Conclusion:
A comparison of the results of air disinfection experiments with data on yeast destruc-tion shows that the latter can be used for rapid analysis of the effects of low-temperature plasma on other biological objects.
Evaluation of the Effect of Resveratrol on Hippocampus in Experimental Traumatic Brain Injury
Authors: Deveci Engin , Aşır Fırat , Başaran Süreyya Özdemir , Kaplan Özge , Aktaş Ayfer , Ermiş Işılay Sezen , Firidin Mustafa Nevzat 
Published: July 2023

Aim: Many antioxidant compounds have been tried to prevent traumatic brain injury (TBI). In this study, we aimed to demonstrate the therapeutic effect of Resveratrol in the hippocampus in TBI by histopathologic and immunologic evaluation.
Study Design: Twenty-four male Sprague-Dawley rats were divided into Control, TBI, TBI+Resveratrol (20 mg/kg/day, oral) groups. Rats were subjected to traumatic brain injury by dropping the weight from a height with a 50 g/1m weight-height impact device. All rats were decapitated 14 days after trauma induction and the protective effects of Resveratrol were evaluated by histopathological and immunohistochemical analyses.
Result: In the TBI group, degeneration of cells, dilatation of vessels and apoptosis due to traumatic inflammation were observed in the alveus and pyramidal layer. In the plexiform layer, synaptic degeneration was present in nerve extensions. In TBI+Resveratrol group, vascular dilatation was decreased and axonal extensions were normal, hyperplasia was observed in pyramidal neurons. S100 expression was positive in pyramidal neurons, glial cells and vascular endothelium. In the Resveratrol treated group, negative expression was observed in membranes, pyramidal neurons and positive s100 expression was observed in plexiform layer and axons.
Conclusion: We suggest that after TBI, Resveratrol treatment alleviates cerebral tissue pathology and can be demonstrated by s100 expression in neuronal regeneration.
Keywords: Traumatic brain injury, hippocampus, s100, Resveratrol, immunohistochemistry
Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet
Authors: Wang Yin 
Published: July 2023

Abstract
Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has brought great benefits to schools and greatly improved their teaching capacity, it has also brought problems to equipment management. In traditional practical training room management, problems such as low equipment utilization, work efficiency, and teaching efficiency are encountered. Along with the development of Internet technology, real-time monitoring and intelligent management of practical training rooms are possible. This paper firstly thus proposes the logical level, management dimensions, and information interaction contents of the intelligent, practical training management system to establish the architecture of the intelligent, practical training management system, and thus leads to the key technologies and methods for the design and establishment of the intelligent, practical training management system. Secondly, starting from the analysis of the training process, the bottom physical environment is sorted out in detail. The four dimensions of equipment status, consumables status, energy consumption status and teaching status of the smart training management system are collected in the information. The smart training management system model is established to analyze the data in a single dimension and derive effective information to help managers manage collaboratively. Finally, the model’s effectiveness is verified by applying the smart training room management system in Z higher education institutions in Xiamen. The study of Xiamen Z higher vocational institution in this paper shows that the use of an intelligent teaching management system effectively improves performance by 34.12%, the affiliation and utility rate of an Bar and coffee training room is better than the traditional training platform, and the influence parameter on the learning process of Xiamen Z higher vocational institution is found to be 79.62 through classification, which provides effective decision for teachers to implement differentiated teaching. The intelligent teaching management system proposed in this paper realizes data visualization of the training room equipment, provides data support for teachers to set differentiated teaching programs, improves teaching efficiency, improves students’ practical training skills through data-based analysis of problems in students’ practical training, and provides motivation for talent training in universities.
Navigating the Disruptive Challenges and Opportunities of Digital Transformation in the Labour Market: Upskilling and Reskilling for the Fourth Industrial Revolution
Authors: Gorski Andra-Teodora , Gligorea Ilie , Gorski Hortensia , Oancea Romana 
Published: July 2023

Abstract
Digital transformation and the Fourth Industrial Revolution (4IR) present opportunities for businesses, but also generate disruptive challenges for organizational performance and the labor market, requiring new skills and competencies. Upskilling and reskilling are crucial in a volatile environment that demands a digital mindset. The paper aims to delineate the key challenges and opportunities presented by emerging and disruptive technologies (EDT) concerning the labor market and to identify the top skills required for thriving in the 4IR business environment. Some guidelines are also offered for organizations and managers regarding the necessity to embrace a holistic approach and promote digital IQ, digital dexterity, and employee career development. To prevent a digital divide in a disruptive technological landscape, a comprehensive and responsible skilling strategy is required. Attainment of high-performance levels and competitive advantage through digital transformation mandates leadership competencies in addition to digital capabilities. Furthermore, success in this regard requires cooperation between businesses, industry, educational institutions, and governments, to promote investment in infrastructure and lifelong learning. In order to effectively leverage the potential of EDTs and alleviate the skills mismatch within the context of the 4IR, the education system must undergo a transformation that fosters agility, resilience, and proactive responsiveness to these trends.
Deep learning system assisted detection and localization of lumbar spondylolisthesis
Authors: Zhang Jiayao , Lin Heng , Wang Honglin , Xue Mingdi , Fang Ying , Liu Songxiang , Huo Tongtong , Zhou Hong , Yang Jiaming , Xie Yi , Xie Mao , Cheng Liangli , Lu Lin , Liu Pengran , Ye Zhewei 
Published: July 2023

Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary diagnosis of lumbar spondylolisthesis and compare it with doctors’ evaluation to verify the effectiveness and feasibility of the DL algorithm in the diagnosis of lumbar spondylolisthesis.Methods: Lumbar lateral radiographs of 1,596 patients with lumbar spondylolisthesis from three medical institutions were collected, and senior orthopedic surgeons and radiologists jointly diagnosed and marked them to establish a database. These radiographs were randomly divided into a training set (n = 1,117), a validation set (n = 240), and a test set (n = 239) in a ratio of 0.7 : 0.15: 0.15. We trained two DL models for automatic detection of spondylolisthesis and evaluated their diagnostic performance by PR curves, areas under the curve, precision, recall, F1-score. Then we chose the model with better performance and compared its results with professionals’ evaluation.Results: A total of 1,780 annotations were marked for training (1,242), validation (263), and test (275). The Faster Region-based Convolutional Neural Network (R-CNN) showed better precision (0.935), recall (0.935), and F1-score (0.935) in the detection of spondylolisthesis, which outperformed the doctor group with precision (0.927), recall (0.892), f1-score (0.910). In addition, with the assistance of the DL model, the precision of the doctor group increased by 4.8%, the recall by 8.2%, the F1-score by 6.4%, and the average diagnosis time per plain X-ray was shortened by 7.139 s.Conclusion: The DL detection algorithm is an effective method for clinical diagnosis of lumbar spondylolisthesis. It can be used as an assistant expert to improve the accuracy of lumbar spondylolisthesis diagnosis and reduce the clinical workloads.
The role of peripheral β-amyloid in insulin resistance, insulin secretion, and prediabetes: in vitro and population-based studies
Authors: Xu Zihui , Chen Juan , Wang Pei , Li Linyan , Hu Shan , Liu Hongjie , Huang Yue , Mo Xiaoxing , Yan Hong , Shan Zhilei , Wang Di , Xu Jian , Liu Liegang , Peng Xiaobo 
Published: July 2023

BackgroundPrevious experimental studies have shown that mice overexpressing amyloid precursor protein, in which β-amyloid (Aβ) is overproduced, exhibit peripheral insulin resistance, pancreatic impairment, and hyperglycemia. We aimed to explore the effects of Aβ on insulin action and insulin secretion in vitro and the association of plasma Aβ with prediabetes in human.MethodsWe examined the effects of Aβ40 and Aβ42 on insulin-inhibited glucose production in HepG2 cells, insulin-promoted glucose uptake in C2C12 myotubes, and insulin secretion in INS-1 cells. Furthermore, we conducted a case-control study (N = 1142) and a nested case-control study (N = 300) within the prospective Tongji-Ezhou cohort. Odds ratios (ORs) and 95% confidence intervals (CIs) for prediabetes were estimated by using conditional logistic regression analyses.ResultsIn the in vitro studies, Aβ40 and Aβ42 dose-dependently attenuated insulin-inhibited glucose production in HepG2 cells, insulin-promoted glucose uptake in C2C12 myotubes, and basal and glucose-stimulated insulin secretion in INS-1 cells. In the case-control study, plasma Aβ40 (adjusted OR: 2.00; 95% CI: 1.34, 3.01) and Aβ42 (adjusted OR: 1.94; 95% CI: 1.33, 2.83) were positively associated with prediabetes risk when comparing the extreme quartiles. In the nested case-control study, compared to the lowest quartile, the highest quartile of plasma Aβ40 and Aβ42 were associated with 3.51-fold (95% CI: 1.61, 7.62) and 2.75-fold (95% CI: 1.21, 6.22) greater odds of prediabetes, respectively.ConclusionElevated plasma Aβ40 and Aβ42 levels were associated with increased risk of prediabetes in human subjects, which may be through impairing insulin sensitivity in hepatocytes and myotubes and insulin secretion in pancreatic β-cells.
Teaching and placement of dental amalgam restorations at South African dental schools
Authors: Essa Ameera Y. , Ahmed Suwayda , Dyason Achmat , Karjiker Farzana , Adam Razia Z. 
Published: July 2023

IntroductionThis paper set out to investigate the relationship between teaching and clinical practice of direct posterior restoration placement at tertiary dental institutions in South Africa.MethodsA cross-sectional study using a mixed methods approach was conducted, and all the South African dental schools were invited to participate. The quantitative phase of the study analyzed the Conservative Dentistry department's records of direct restorations at a single dental school. The number of amalgam and tooth-colored restorations placed by students in the fourth and fifth year of the program from 2004 to 2019 were compared. During the qualitative phase, semi-structured interviews were held with staff from the four dental schools involved with the teaching of direct posterior restorations.ResultsThe predominant direct posterior restoration placed in student clinics over a 15-year period at a South African dental school was tooth colored (75%). Teaching times do not correspond to a decrease in the placement of dental amalgam restorations for both one-surface and two-surface posterior restorations and a concomitant increase in the tooth-colored restorations.DiscussionAcademic staff involved in teaching identified that South Africa's ratification of the Minamata Convention has consequences for dental education and training. However, all schools reported that dental amalgam would continue to be taught in the absence of an appropriate alternative.
A atuação do enfermeiro da Atenção Primária à Saúde frente aos adolescentes com obesidade: revisão integrativa
Authors: Santos Jessica Moura , De Oliveira Déborah Raquel Carvalho 
Published: July 2023

Objetivo: Identificar e analisar nas publicações científicas nacionais e internacionais as ações realizadas pelo Enfermeiro da Atenção Primária à Saúde frente ao adolescente com obesidade. Método: O método proposto para o presente trabalho foi de um estudo bibliográfico descritivo do tipo de revisão integrativa de literatura, desenvolvido nas seguintes bases de dados: SCOPUS, PUB MED, CINAHL, Web of Science e LILACS. Resultados e discussão: A amostra final constituiu-se em 8 artigos. As ações evidenciadas foram: incentivo a adesão de uma alimentação saudável, diminuição do sedentarismo, limitação de exibição a telas, importância do sono adequado e elaboração de um plano de atividades físicas regulares. Conclusão: Destaca-se a partir desse estudo, que são poucas as pesquisas nacionais voltadas a esse tema, visto que a maioria das publicações encontradas que enfoquem na atuação do enfermeiro da Atenção Primária à Saúde no manejo do sobrepeso e obesidade são internacionais. Além disso, destaca-se também a importância do desenvolvimento de capacitações para Enfermeiros conseguirem implementar o manejo adequado da obesidade, visto que o despreparo dificulta uma intervenção efetiva.
Tuberculose: doença epidêmica na comunidade carcerária - uma revisão literária da saúde pública brasileira
Authors: Da Silva Camila Zeneide 
Published: July 2023

Esta pesquisa teve por objetivo analisar e explorar sobre a Tuberculose, uma doença epidêmica dentro do sistema carcerário que resultou em um problema de saúde pública no Brasil. O estudo baseia-se em uma pesquisa de um simples resumo de literatura qualitativo, a fim de investigar o que leva a Tuberculose ainda ser tão presente no sistema penitenciário brasileiro mesmo com a existência de tratamentos. O trabalho foi controlado por meio de artigos e publicações em revistas de saúde pública, que incluiu durante o processo de pesquisas 16 (dezesseis) temas e títulos com prioridades dos últimos 10 (dez) anos direcionados a tuberculose, pessoas privadas de liberdades e saúde pública brasileira. A revisão da literatura demonstrou um panorama abrangente sobre a Tuberculose nas prisões brasileiras e forneceu uma base sólida para a análise dos dados. A coleta de dados foi realizada por meio de pesquisas, estudos e entrevistas feitas por universidades com a Universidade de São Paulo (USP) e a Fundação Oswaldo Cruz (Fiocruz). Os resultados desta pesquisa revelaram que a tuberculose nas prisões brasileiras é um problema de saúde pública grave, com alta prevalência e condições precárias e que ações são urgentes e necessárias, incluindo melhoria das condições de vida, acesso a cuidados médicos e programas de prevenção e tratamento. Além disso, este estudo também se destaca como a superlotação é o maior problema e causador para essa disseminação da Tuberculose e tantas outras doenças infectocontagiosas dentro da comunidade carcerária.