bluuebunny/crossref_metadata_2025 huggingface dataset:
Necrotizing Epididymo-Orchitis: A Rare Manifestation of COVID-19
Authors: Tavoosian Ali , Ahmadi Sana , Aghamir Seyed Mohammad Kazem
Published: July 2022

Epididymo-orchitis is an infection of the epididymis and testis, one of the most common urogenital infections. It can be seen at any age. It is caused by sexually transmitted microorganisms and nonsexual transmitted pathogens. Viruses such as mumps and cytomegalovirus can also cause epididymo-orchitis. During the COVID-19 pandemic, in case of abnormal clinical manifestations of COVID infection and inadequate therapeutic response to the routine therapies, this disease with unusual manifestations should be considered. The case introduced in this paper is a 55-year-old man referred to a urology clinic with typical clinical presentations of epididymo-orchitis. Diagnosis by color Doppler examination and ultrasound also confirmed epididymo-orchitis. The patient underwent appropriate and routine treatment for epididymo-orchitis. Because of the lack of adequate clinical response and the continuation of fever and the development of scrotal lesions and the results of the control ultrasound, which suggested rupture of the tunica albuginea capsule, he underwent surgical exploration and subsequent orchiectomy. Due to the unconventional conditions and the usual culture and pathology, COVID-19 PCR was also performed on the tissues. The PCR showed tissue infection with COVID-19. The patient’s clinical condition improved with an orchiectomy, the fever stopped, and he was discharged in a good general condition. It should be noted that before referral to the urology clinic and during hospitalization, evaluation, and treatment, the patient had no evidence in favor of respiratory tract infection with the coronavirus.
Prevalence and Complications of Glycogen Storage Disease in South Korea: A Nationwide Population‐Based Study, 2007‐2018
Authors: Lee Eun Jung , Chang Ha Eun , Kim Sung Hwa , Jeong Yong Whi , Koh Hong , Kang Yunkoo
Published: July 2022

Glycogen storage disease (GSD) is a rare disease that can cause life‐threatening problems owing to metabolic errors in storing or using glycogen. The disease course of GSD remains unknown, despite medical technology advances. We determined the prevalence and complications of GSD using data from the National Health Insurance Service database. Data were collected and analyzed for the entire South Korean population with GSD during 2007–2018. GSD was defined as a combination of disease code E74.0 and rare incurable disease insurance code V117, a unique disease code combination for GSD in South Korea. Overall, 23,055 patients had the E74 disease code; 404 had an additional V117 insurance code. Most GSD patients were aged <10 years. Many complications were identified, the most common being hepatomegaly, hyperuricemia, and elevated liver enzyme levels. The most prescribed drug was α‐glucosidase, followed by allopurinol. Seventy‐two percent of patients were treated in pediatrics. Twenty‐five patients underwent liver transplantation, and 14 died after GSD diagnosis. In South Korea, more patients than expected had GSD diagnosis and were managed accordingly. GSD causes many complications and hospitalizations, resulting in high medical expenses. Serious complications can result in liver transplantation and, eventually, death in some cases. Although the patients’ condition was identified only by the disease code, this is the first study to present the current situation of GSD patients in South Korea. Because GSD patients can have dangerous medical conditions, they should be managed consistently while minimizing various complications that may occur with optimal metabolic control.
Prediction Algorithm of Uncertain Fund Demand for Regional Economics Using GM Model and Few-Shot Learning
Authors: Wang Baoqian
Published: July 2022

The forecast of capital demand has the characteristics of uncertainty. There are known and unknown information about the capital demand for regional economic development. In fact, there are also some in between, that is, uncertain. Consumption is the ultimate goal of production and a key link in realizing a virtuous circle of economic development. This paper uses the GM (1, 1) model to compare the predicted value of the test area with the actual value in 5 years, and the loudness is as high as 90%. Under the guidance of the profit model, the regional economic capital demand has a decisive influence on the regional economic development. The predictive analysis model of capital needs is conducive to fully mobilizing the impact of infrastructure construction of all parties and is an important factor affecting economic development. The mathematical model proposed in this paper is helpful for deepening the research on the management of regional economic development and enriching the theoretical system of regional economic development.
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review
Authors: Alqaysi M. E. , Albahri A. S. , Hamid Rula A.
Published: July 2022

Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in childhood and continues throughout life, affecting communication and verbal and behavioral skills. It is challenging to discover autism in the early stages of life, which prompted researchers to intensify efforts to reach the best solutions to treat this challenge by introducing artificial intelligence (AI) techniques and machine learning (ML) algorithms, which played an essential role in greatly assisting the medical and healthcare staff and trying to obtain the highest predictive results for autism spectrum disorder. This study is aimed at systematically reviewing the literature related to the criteria, including multimedical tests and sociodemographic characteristics in AI techniques and ML contributions. Accordingly, this study checked the Web of Science (WoS), Science Direct (SD), IEEE Xplore digital library, and Scopus databases. A set of 944 articles from 2017 to 2021 is collected to reveal a clear picture and better understand all the academic literature through a definitive collection of 40 articles based on our inclusion and exclusion criteria. The selected articles were divided based on similarity, objective, and aim evidence across studies. They are divided into two main categories: the first category is “diagnosis of ASD based on questionnaires and sociodemographic features” (

n
=
39

). This category contains a subsection that consists of three categories: (a) early diagnosis of ASD towards analysis, (b) diagnosis of ASD towards prediction, and (c) diagnosis of ASD based on resampling techniques. The second category consists of “diagnosis ASD based on medical and family characteristic features” (

n
=
1

). This multidisciplinary systematic review revealed the taxonomy, motivations, recommendations, and challenges of diagnosis ASD research in utilizing AI techniques and ML algorithms that need synergistic attention. Thus, this systematic review performs a comprehensive science mapping analysis and identifies the open issues that help accomplish the recommended solution of diagnosis ASD research. Finally, this study critically reviews the literature and attempts to address the diagnosis ASD research gaps in knowledge and highlights the available ASD datasets, AI techniques and ML algorithms, and the feature selection methods that have been collected from the final set of articles.
An Application of ITO Analysis in Secondary Kinship Identification
Authors: Zhou Peng , Chen Xuemei , Wang Qianrong , Wang Junfu , Xu Xiaoqun , Wei Ran
Published: July 2022

Objective. As the methods of the paternity and kinship testing have been developed, the second-degree and more distant relationships remain challenging in forensic science. Currently, the ITO method is the mainstream method to clarify the kinship between two individuals. Methods. In this study, the ITO algorithm was used to calculate the uncle-nephew index based on 55 autosomal short tandem repeats (STRs) loci that were universally used for forensic identification. 19 STRs loci in Y chromosome were used for verification of the kinship. Results. The cumulative uncle-nephew index between A and B was calculated to 0.993 by the analysis of the genotyping results of 21 STRs. When genotyping results of the other 34 STRs were added to the calculation algorithm, the cumulative uncle-nephew index between A and B was promoted to 227.928. Meanwhile, genotyping results of 17 Y-STRs loci showed that A and B shared the same Y-STRs haplotype that was in accord with the paternal inheritance law. Conclusion. The biological uncle-nephew relationship between A and B are identified by applying the statistical principles and genetic technologies.
Q-Switched Laser Combined with Intense Pulsed Laser in the Treatment of Melasma Based on Reflection Confocal Microscope
Authors: Xu Jiali , Pu Yijing
Published: July 2022

Chloasma is a prevalent clinical hyperpigmentation skin disorder that causes symmetrical brown to tan patches on the cheeks, as well as the neck and forearms on rare occasions. The pathophysiology of this condition is complicated, and there is now no cure. Under the light microscope, the full-thickness melanin of the epidermis in the skin lesions was increased, and the dermal chromophages increased. At present, the treatment of melasma mainly includes topical drugs, chemical peels, systemic drugs, laser therapy, and traditional Chinese medicine. With the development of medical technology, intense pulsed light and Q-switched laser have been widely used in the treatment of melasma, which can emit laser beams to penetrate the dermis uniformly to treat deep pigmented lesions in the dermis. After a stable treatment outcome for melasma is achieved, it is important to minimize side effects such as postinflammatory hyperpigmentation and skin irritation. Therefore, this paper uses a reflection confocal microscope to establish an evaluation index system and then uses a neural network to evaluate the treatment effect. The work of this paper is as follows: (1) this paper introduces various methods of treating melasma at home and abroad and focuses on the application of intense pulsed light therapy and low-energy Q-switched Nd: YAG laser in the treatment of melasma. (2) In this paper, the case data samples are trained with the designed BP network to obtain a reliable evaluation network model. (3) The results and mistakes of the evaluation are produced by training the genetic algorithm optimized backpropagation (GA-BP) network structure model to evaluate the treatment effect of chloasma. Finally, it has been demonstrated that the GA-BP network has great accuracy and stability.
Extraction of Catechins from Aegle marmelos Fruit Pulp: Statistical Optimization Using Response Surface Methodology and Artificial Neural Networks
Authors: Kurimilla Divya , Vangalapati Meena , Myneni Venkata Ratnam
Published: July 2022

Aegle marmelos is a medicinal herb that has a variety of biological constituents. “Catechins” are a class of phenolic compounds that have therapeutic value. The present study employs batch extraction with methanol as a solvent to extract the catechins from the pulp of Aegle marmelos fruit. Box–Behnken design of response surface methodology (RSM-BBD) is used to optimize the operational parameters impacting catechin extraction, such as solvent concentration, pH, and extraction time. Extraction of 96.5% of catechins was achieved at a methanol concentration of 80%, pH 6.24, and a soaking period of 44.7 hrs (desirability: 0.966). Additionally, MATLAB’s artificial neural network (ANN) was used to accurately estimate the extraction yield. The antimicrobial activity of the methanolic extract was tested against five different pathogens, including Streptococcus, Bacillus mega, Pseudomonas putida, Bacillus cerecus, and Staphylococcus aureus, using the agar diffusion method and the tube dilution method. Streptococcus, Bacillus cereus, and pseudomonas putida showed high activity.
Investigation of Molecular Mechanism of Banxia Xiexin Decoction in Colon Cancer via Network Pharmacology and In Vivo Studies
Authors: Ma Lili , Fang Xiaojie , Yin Xin , Li Yanyan
Published: July 2022

Objective. Banxia Xiexin decoction (BXD) is widely used in the treatment of gastrointestinal and other digestive diseases. This study is based on network pharmacology to explore the molecular mechanism of BXD in the treatment of colon cancer. Methods. The bioactive components and potential targets of BXD were obtained from public database. The protein-protein interaction (PPI) network of the potential targets of BXD for colon cancer was constructed based on the STRING database, cytoscape software, gene ontology (GO), and kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis of the PPI network. Finally, we established a xenograft nude mouse model to verify the effect of BXD in colon cancer treatment. Results. We have acquired a total of 55 bioactive components and 136 cross-targets of BXD. The results of enrichment analysis suggested that the oxidate stress and diet were the key factors of colon cancer occurrence, and AGE-RAGE signaling pathway plays an essential role in the treatment of colon cancer with BXD. Animal experiments revealed that BXD could suppress tumor growth and induce tumor cell apoptosis in the xenograft nude mouse model with HCT116 cells. Conclusion. This study uncovered that BXD inhibits the malignant progression of colon cancer that may be related to multiple compounds (berberine, quercetin, baicalein, etc.), multiple targets (Bcl2, Bax, IL6, TNFα, CASP3, etc.), and multiple pathways (human cytomegalovirus infection, AGE-RAGE signaling pathway in diabetic complications, etc.).
Methane Alleviates Lung Injury through the IL-10 Pathway by Increasing T Regulatory Cells in a Mouse Asthma Model
Authors: Yao Ying , Miao Xiaoyong , Wang Liping , Jiang Zhengyu , Li Lingxia , Jiang Ping , Wang Yifei , Jin Aixia , Li Na , Wang Changli , Tan Kezhe , Meng Yan , Bian Jinjun , Zhang Yan , Deng Xiaoming , Cao Jianping
Published: July 2022

Allergic asthma is associated with allergen-induced airway hyperresponsiveness and inflammatory cell infiltration. While moderate-to-severe asthma with refractory symptoms is difficult to treat, methane is protective against organ damage. In this study, an asthmatic mouse model was established. Airway resistance under acetylcholine stimulation in asthmatic mice and histology of lung tissue injury were determined. EOS infiltration was determined by flow cytometry. Enzyme-linked immunosorbent assays (ELISAs) were performed for the determination of relevant cytokine levels in asthmatic mice with or without methane treatment. The potential mechanisms of methane under anti-IL-10 antibody intraperitoneal intervention were assessed by ELISA and flow cytometry. Pulmonary T regulatory cells (Tregs) were analyzed by flow cytometry, and anti-CD25 antibody was used to block them. Immunoblot analysis was performed to evaluate if methane played a role in the asthmatic lungs via the NF-κB and MAPKs pathways. The results showed that methane significantly improved airway compliance, relieved asthma-induced lung injury, and reduced EOS accumulation and inflammatory mediators in the lungs of ovalbumin-treated asthmatic mice. Anti-IL-10 treatment diminished the ameliorating effect of methane on asthma. In addition, methane enhanced pulmonary Tregs in asthma, which could be blocked by the anti-CD25 antibody. Further analysis revealed that methane decreased p-p65/p65 and p-p38/p38 expression. In conclusion, methane is a readily available and inexpensive molecule potentially suitable for human use, which can alleviate asthma-induced lung injury and EOS infiltration through the IL-10 pathway by increasing Tregs and decreasing NF-κB and p38 MAPK in a mouse model.
Test of Ultimate Bearing Capacity of Building Concrete Structures in Earthquake Area Based on Virtual Reality
Authors: Liu Hui , Yang Xintian , Dou Lijun
Published: July 2022

In order to solve the poor matching ability between concrete structures of traditional architectural space optimization design methods, it leads to the problem of low space optimization ratio, so based on virtual reality technology, the author proposes a new method for optimizing the space of concrete structure buildings. Using virtual reality technology to improve the basic structure of building space, reorganize the form through the design space, and optimize the design of the concrete structure building space function; based on the test model of virtual reality technology, design the matching method of concrete structure, increase the proportion of building space optimization, and adopt linear buckling method, geometric nonlinear method, and double nonlinear analysis method; the ultimate bearing capacity of steel structures of residential buildings in earthquake areas is tested. Experimental results show that for the simple structure building space, the average optimization ratios are 97.17% and 96.71%, respectively; for the complex structure building space, under the proposed optimization design, the average optimization ratio is maintained at 94.34%, and the error between the stress prediction value of the finite element model and the axial stress obtained by testing is less than 6%. Compared with the traditional space optimization design, in the proposed space optimization design method, the proportion of building space optimization is higher; it can be seen that the virtual reality technology has a better matching effect on the concrete structure, and the accuracy of the ultimate bearing capacity value obtained by prediction is high.
Evaluating the Performance of Emergency Centers during Coronavirus Epidemic Using Multi‐Criteria Decision‐Making Methods (Case Study: Sari City)
Authors: Hosseini SeyedAmir , Ahmadi Choukolaei Hassan , Ghasemi Peiman , Dardaei-beiragh Helia , Sherafatianfini Soheil , Pourghader Chobar Adel
Published: July 2022

In this study, due to the importance of emergency centers and patient transport vehicles in epidemic conditions, the performance of emergency centers has been evaluated based on health protocols. The criteria were first divided into preventive and operational sections by collecting opinions, health experts, standard criteria, and the Delphi method. Preventive criteria for evaluating emergency centers and operating criteria for assessing vehicles in these centers are considered. The weighting of the determined criteria was done by the triangular fuzzy aggregation method. According to the standard criteria, the emergency centers have been evaluated for a 30‐day period. The results have been assessed as a qualitative and quantitative matrix using the PROMETHEE method. The results showed better performance of Center A (63%) due to proper performance and better compliance with protocols in both criteria (preventive and operational). The reason for the superiority of this center over Center B can be considered the better performance of this center in terms of prevention indicators and better performance of the center’s vehicles (Ambulance A‐1 and Ambulance A‐2) in the performance index by observing the standards.
Consumers’ Impulsive Buying Behavior in Online Shopping Based on the Influence of Social Presence
Authors: Zhang Mingming , Shi Guicheng
Published: July 2022

The rapid development of online shopping has contributed to marketing strategy. Social presence plays an important role in the field of marketing. Therefore, this paper studies the influence of social presence on online impulse buying. The key marketing strategy is that consumers make impulsive buying behavior in online shopping. This paper proposes a research scheme for an impulsive buying sharing model based on user features and an article studied before which has some factors presented. The model is evaluated on a data analysis based on SPSS24.0 and AMOS23.0. The results show that the main factors such as interactivity, vividness, and media richness, all have positive effects on social presence. Therefore, in the variable relationship, social presence has a direct impact on impulsive buying behavior. This result has a theory contribution on the marketing theory model which also has an important practice significance in marketing strategy for enterprises.
Numerical Simulation of Deformation and Failure of Drainage Boat Pond Caused by Underground Coal Mining-Induced Subsidence
Authors: Xie Bin , Zhang Jidang , Liu Youchun , Li Weiguo , Zhang Wenhui , Liu Huan
Published: July 2022

The prediction of surface subsidence after underground coal mining is of practical significance for land planning and utilization in subsidence area. For a case study, the deformation and failure of a drainage boat pond caused by an underground coal mining-induced subsidence are investigated (the drainage boat pond is located in the Nanyang Lake Farm, Jining City, China). A mining subsidence prediction model suitable for the irregular coalface is established using the improved probability integral method to analyze the subsidence parameters. A numerical model of the boat pond deformation is established to simulate the stress, displacement, and plastic zone distribution of the boat pond. The boat pond deformation prevention structure is proposed from the prospects of pond bottom, pond slope, and pond slope protection. Moreover, the reinforcement of drainage boat pond is achieved in five steps. Finally, the deformation and failure state of the reinforcement boat pond under coal mining subsidence is simulated, and the rationality of the reinforcement measures is also verified by a field investigation. The research results have an important practical significance for water resource protection and structure construction in underground coal mining-induced subsidence.
An Advanced Amalgam of Nature-Inspired Algorithms for Global Optimization Problems
Authors: Nourin Asia , Mashwani Wali Khan , Bilal Rubi , Sagheer Muhammad , Shah Habib , Arjika Sama , Shah Hussain
Published: July 2022

Large-scale global optimization problems are ambitious and quite difficult to handle with deterministic methods. The use of stochastic optimization techniques is a good choice for dealing with these problems. Nature-inspired algorithms (NIAs) are stochastic in nature, computer-based, and quite easy to implement due to their population-based nature. The Grey wolf optimizer (GWO) and teaching-learning-based optimization are the most recently developed and well-known NIAs. GWO is based on the preying strategies of grey wolves while TLBO is based on the effect of the influence of a teacher on the output of learners in a class. NIAs are quite often stuck in the local basins of attraction due to the improper balancing of exploration versus exploitation. In this paper, an advanced amalgam of nature-inspired algorithms (ANIA) is developed by employing GWO and TLBO as constituent algorithms. Initially, an equal number of solutions are assigned to both NIAs to perform their search process of population evolution; then, in later iterations, the number of solutions are allocated to each constituent algorithm based on their individual performance and achievements gained by each algorithm in the previous iteration. The performance of an algorithm is determined at the end of iteration by calculating the ratio of total updated solutions to the total assigned solutions in the amalgam. The proposed strategy effectively balanced the exploration versus exploitation dilemma via compelling the parent algorithms to show continuous improvement during the whole course of the optimization process. The performance of the proposed algorithm, ANIA is evaluated on recently designed benchmark functions of large-scale global optimization problems. The approximated results found by the proposed algorithm are promising as compared to state-of-the-art evolutionary algorithms including the GWO and TLBO in terms of diversity and proximity. The proposed ANIA has tackled most of the benchmark functions efficiently in the parlance of evolutionary computing communities.
Changes in Physical Activity, Functional Capacity, and Cardiac Function during Breast Cancer Therapy
Authors: Bellissimo MP , Canada JM , Jordan JH , Ladd AC , Heiston EM , Brubaker P , Mihalko SL , Reding K , D”Agostino R , O”Connell N , Hackney MH , Weaver KE , Lesser GJ , Avis NE , Hundley WG
Published: July 2022

Purpose: Functional capacity and cardiac function can decline during breast cancer (BC) therapy. In non-cancer populations, higher physical activity (PA) is associated with better physical function and cardiac health. This study compared baseline PA, functional capacity, and cardiac function between women with and without BC and tested if greater PA participation was related to higher functional capacity and/or better heart function after three months of BC therapy. Methods: Data was collected in 104 women without BC (82% Caucasian, baseline only) and 110 women with stage I-III BC (82% Caucasian) before therapy and after three months of treatment. Participants self-reported PA and underwent six-minute walk distance (6MWD) testing to measure functional capacity and cardiovascular magnetic resonance to assess left ventricular ejection fraction (LVEF). Analyses were adjusted for age, race, body mass index (BMI), and medication use. Results: The BC group was older (56.2 ± 10.7 vs 52.1 ± 14.7 yrs, P=0.02) with a higher average BMI than the non-cancer group (30.3 ± 6.8 vs 27.7 ± 6.2 kg/m2, P<0.01). Pre-treatment, BC participants reported lower PA scores (27.9 ± 2.8 vs 34.9 ± 2.8, P=0.04) with similar 6MWD and LVEF relative to those without cancer (485 ± 11 vs 496 ± 11 m, P=0.4 and 59.7 ± 0.7 vs 58.9 ± 0.8%, P=0.37, respectively). After three months of BC therapy, declines were observed for PA scores (27.9 ± 2.8 vs 18.3 ± 2.5, P=0.02), 6MWD (485 ± 11 vs 428 ± 10 m, P<0.001), and LVEF (59.7 ± 0.7 vs 56.1 ± 0.7%, P<0.001). Compared to BC participants who reported no PA at three months (n=24, 22%), BC women who reported any PA (n=78, 86%) had higher 6MWD (442 ± 11 vs 389 ± 17 m, P=0.006) but similar LVEF (56.5 ± 0.9 vs 55.3 ± 1.5%, p=0.5). Women who reported any PA were less likely to exhibit an LVEF below normal (<50%) or decline in LVEF of ‚â•10 points compared to inactive women (BMI-adjusted, OR [95% CI]: 0.27 [0.09, 0.85]). Conclusions: These preliminary results indicate that self-reported PA, LVEF and 6MWD decline in the first three months of BC treatment, but PA participation during BC treatment may mitigate declines in functional capacity and cardiac function. Further research is needed to identify barriers and facilitators of PA participation during BC therapy. Funding: Data collection was funded by the Wake Forest NCORP Research Base grant 2UG1CA189824 with support of the NCI Community Oncology Research Program (NCORP). Additional funding for this study was provided by grants from the National Institutes of Health, National Cancer Institute (1R01CA199167 and 5T32CA093423). Clinical Trial ID: NCT02791581 for WF97415 UPBEAT.
Type-2 Diabetes Mellitus and Risk of Colorectal Polyps: A Colonoscopy-Based Study Using Natural Language Processing
Authors: Hardikar S , Krick B , Benson R , Winn M , Winterton C , Newcomb PA , Inadomi JM , Ulrich CM
Published: July 2022

Purpose: Although type-2 diabetes (T2D) has been associated with colorectal cancer in previous studies, the association of T2D with colorectal polyps is unknown. Methods: Using pathology reports from the University of Utah (UU) Enterprise Data Warehouse (EDW), we developed a rule-based natural language processing (NLP) pipeline to extract colorectal polyp diagnoses and features (site, shape, number, size) on 15,679 patients who underwent a colonoscopy at the UU Gastroenterology clinic from 2013-2016. The NLP pipeline was validated by manual abstraction of 350 pathology reports, and demonstrated excellent performance (accuracy 91%). Patient characteristics, including age, sex, race, diabetes status, smoking, BMI, and medication use, were abstracted from the EDW. Odds ratios (OR) and 95% confidence limits (95% CI) adjusted for abstracted variables were calculated using multivariable polytomous logistic regression. Results: Participants were on average 56 years old, 85% White, 50% male, with a mean BMI of 29 kg/m2. About 27% of the participants reported history of T2D; 71% of whom used anti-diabetes medication. Participants were classified as having adenomas (30%), serrated polyps (16%), synchronous adenomas and serrated polyps (19%) or as polyp-free controls (35%). T2D was associated with a statistically significant lower risk of colorectal polyps [0.83(0.73,0.92)]. When evaluated by polyp subtype, T2D was marginally associated with reduced adenoma risk [0.90(0.80,1.02)], and inversely associated with risk of serrated polyps [0.80(0.67,0.93)]. The associations did not vary by lesion severity within polyp subtypes. There was a statistically significant deceased risk for polyps among anti-diabetes medication users [0.84(0.69,0.99)]. Conclusions: Overall, T2D was associated with a statistically significant reduced risk of colorectal polyps; this reduced risk was consistent for both adenomas and serrated polyps. As T2D has previously been shown to increase colorectal cancer risk, this differential association with colorectal polyps may possibly be due to a variable effect of anti-diabetes medication use. Further studies are needed to better understand the mechanisms through which diabetes and its treatment may be differentially associated with colorectal polyps.
The motivation and teaching strategies in pre-service physical education teachers
Authors: Tulyakul Singha , Werathummo Amonwan , Khun-inkeeree Hareesol , Rotsuwan Witsanu , Reudhabibadh Ratchaneekorn
Published: July 2022

Coronavirus disease 2019 (COVID-19) pandemics significantly affect teaching and learning. Especially physical education teaching that emphasizes practice in the field or large space. On the other hand, physical education classes must do online teaching, which leads to students not being interested in learning. This reason affects the teacher's motivation, making most teachers bored to teach without motivation. Specifically, in the pre-service physical educators who have low experience in teaching and leads to unenjoyed in their class. Consequently, pre-service physical educators need to find new strategies to teach students to be of greater interest. Thus, this study examined the relationship between teachers' motivation (intrinsic and external motivation) towards teaching strategies among pre-service physical educators. The instruments were regarding teachers' motivation in terms of intrinsic and external motivation and teaching strategies. The respondents were 157 pre-service physical educators in five universities in the border provinces of Southern Thailand. The result showed that there is a relationship between intrinsic and external motivation towards teaching strategies among the participants. These results provide guidelines for pre-service physical educators to improve their teaching and enhance students' achievement in the future through online physical education classes.
Effectiveness of video education on intention for cervical cancer screening
Authors: Setiyawati Nanik , Meilani Niken , Khafidhoh Nur
Published: July 2022

Cervical cancer represents 7.5% of deaths caused by cancer in women. Prevention of cervical cancer can be done by cervical cancer screening. The purpose of the study was to determine the effect of video on knowledge level, attitude, and intention for cervical cancer screening in Yogyakarta. This study was a quantitative study with a quasi-experimental nonequivalent control group design. The study was carried out in April-October 2021. The population of the study was all women of childbearing age. The sample was 50 respondents for each group, experiment group and control group. The intervention was given through video education for the experiment group and pocketbooks for the control group. Data analysis used T-test, Wilcoxon test, and Mann-withney. There was a difference in the pre-test and post-test of knowledge level (p=0.002), attitude (p=0.023), intention (p=0.005) in the experiment group and knowledge level (p=0.001), attitude (p=0.000), intention (p=0.004) in the control group. There was a significant difference in women’s intention (p=0.001) for cervical cancer screening with the video education method than pocketbooks. The method of providing educational videos and pocketbooks is effective for increasing the knowledge level, attitude, and intention for cervical cancer screening. Video has influence on intention to detection cervical cancer.
Students’ teacher-dependency and passiveness in online learning during COVID-19 pandemic
Authors: Ariebowo Teguh , Puspitasari Evi
Published: July 2022

Online learning during COVID-19 pandemic has made teacher and students even parents busy in adapting the change. Many issues rose regarding the implementation of online learning. One of the issues is the student's teacher dependency in learning. Along with this problem, students tend to be passive in online learning. This research was conducted in a higer education context. Quantitative survey research was conducted to 656 sophomore students and 10 teachers in a college of aerospace technology in Yogyakarta, Indonesia. Along with the questionnaire, an interview was held to gain the qualitative data to support the quantitive data. As the result, students tend to rely on their teachers and passive in learning.
Development of primary school fourth-grade students’ fraction calculation strategies through the argumentation method
Authors: Doğan Adem , Yıldırım Sır Havva Kevser
Published: July 2022

One of the most fundamental subjects of primary school mathematics, the concept of fraction plays a key role in students' educational background. Students experience difficulties and misconceptions regarding this concept. Therefore, it is of great importance to understand this subject well and to use different teaching methods and techniques. Various methods can be used in learning mathematics, such as invention method, computer-assisted teaching, problem solving, creative drama and discussion. Argumentation method is a scientific discussion of a claim on a subject by providing data, warrant and backing, and by revealing the rebuttal and the invalidity of the claim. Students gain more skills by interacting with teachers or collaborating with their peers, and that they possess skills that have not been obtained before or that are too difficult to achieve on their own. Therefore, the argumentation method was chosen for its effect on the development of primary school students’ fraction calculation strategies. Having a case study design, this study was conducted with 28 primary school fourth-grade students and 10 open-ended questions prepared by the researchers were used during interviews. The results suggested that primary school students were able to develop fraction calculation strategies through the argumentation method. In general, inventing strategies, using representations, number sense, addition and subtraction, using unit fractions and proportional reasoning were used as fraction calculation strategies. It recommended to use the argumentation method in other critical subjects of mathematics as well.
Non-invasive sensing techniques for glucose detection: a review
Authors: Al-Nabulsi Jamal , Abu Owida Hamza , Ma’touq Jumana , Matar Sabrina , Al-Aazeh Esraa , Al-Maaiouf Abdelqader , Bleibel Abdullah
Published: July 2022

Diabetes is becoming more prevalent over the world, with approximately 7.8 million new cases diagnosed each year. The most crucial aspect of diabetes therapy is frequent glucose monitoring; the one and only way diabetics can maintain healthy blood sugar standard is through diet and exercise. Blood glucose monitoring techniques have gone through massive transformations over the past few years. Non-invasive procedures outperform invasive and minimally invasive ones in terms of inconvenience, pain, and recovery time. Thus, this review aims to explore the latest tools for non-invasive glucose monitoring sensors and techniques. The study showed that non-invasive techniques such as optical and non-optical techniques are better than invasive techniques in terms of accuracy, reliability, repeatability, and ease of use. The study also uncovered that the photoacoustic spectroscopy and ultrasonic techniques have room for further development and advancement considering their flexible nature. The work also proved that the ultrasonic technique is the most promising approach, in conclusion.
3D modelling of the mechanical behaviour of magnetic forming systems
Authors: Ilhem Boutana , Mohamed Elamin Boussalem , Ahmed Laouira , Salaheddine Bouferroum
Published: July 2022

High-speed forming methods become attractive in manufacturing and significantly reduce the cost and energy requirements. Electromagnetic forming is a high-velocity pulse forming technique that applies electromagnetic forces to sheet or tubular workpieces using a pulsed magnetic field. In order to understand the physical behaviours of materials, numerical modeling is highly desired. Therefore, in this study, we investigate the mechanical behaviour of the electromagnetic sheet stamping and magnetic tube expansion and compression systems. For these 3D simulations, COMSOL multiphysics software is used. It provides the possibility to model the electromagnetic aspects of the problem along with the thermal and mechanical aspects in a coupled method. The developed 3D numerical fully coupled models lead to analyze the transient magnetic fields, Lorentz forces acting on workpieces, and the plastic deformations obtained in several magnetic forming systems. The effects of systems parameters are also investigated such as the coil’s form and the number of its turns.
Robust super-twisting sliding mode controller for the lateral and longitudinal dynamics of rack steering vehicle
Authors: Mat Adam Norsharimie , Irawan Addie , Ashraf Ahmad Mohd
Published: July 2022

Inertia phenomenon in steering vehicle is major factor that allow oversteering incident in which come from the insufficient steering and slip control over the vehicle itself. The efficient and robust control system is required to consider both precision and stability of the vehicle for better manuevering especially in cornering road. Therefore, this research has taken the initiative to contribute a better solution for vehicle control according to the mentioned problem and situation with a proposed robust super-twisting sliding mode control (ST-SMC) by simplified torque on wheel and steering angle input with decoupling lateral and longitudinal errors. This control technique approach to allow coping with the issue by reducing forces and inertia for optimum speed at the cornering period and with the almost precise steering positioning. The dynamic model of rack steering vehicle (RSV) is used as the model plant and the proposed control system is simulated for verification. The results shows that the proposed ST-SMC offers improved performance in terms of speed increase time and vehicle stability that gives impact to the RSV being skidded or collided to any obstacles during cornering period.
Performance analysis of demand forecasting in energy consumption based on ensemble model
Authors: Jaganathan Dhanalakshmi , Natarajan Ayyanathan
Published: July 2022

Over the previous decade, energy usage has increased exponentially all over the world. The machine learning algorithms are used to classify the demand and requirement of off and evening peak load of southern regional load dispatch centre (SRLDC) data. In this paper, data are classified based on demand and requirement of both evening and off peak of day wise southern regional grid of Andhra Pradesh, Karnataka, Kerala, Tamilnadu, and Pondicherry of different states are proposed. The machine learning algorithms like k-nearest neighbors (KNN), random forest, and logistic regression have been adopted to classify the model. To improve this model efficiency, an ensemble learning method is used to increase the accuracy. The performance measure of state-wise outcome is determined by classifying its demand and requirement needs over its state energy consumption and with different classification algorithms and it is improved by using a combined method of ensemble model with accuracy of 86%.
Assessing factors influencing internet banking adoption by using rasch model measurement
Authors: Azhar Aziz Khairi , A. Jabar Marzanah , Abdullah Salfarina , Haizan Nor Rozi Nor
Published: July 2022

The purpose of this paper is to use the Rasch model software in analyzing the identified influencing factors of internet banking towards improving adoption usage and to find the validity and reliability of the instrument. An initial conceptual model was developed based on the previous of Literature Review. About 17 factors have been identified from the previous models and frameworks and they have been improved as influencing factors. Those factors are the website design (WD), the ease of use (EOU), the security, the quality system, the social influence, the trust, the electronic word of mouth (eWOM), the rewards, the perceived usefulness (PU), the perceived ease of use (PEOU), the intention to use (IU), the sustainability, the commitment, the user experience/generation, the knowledge, the profession, and the income. The questionnaire survey was successfully conducted with 51 respondents and pilot data verification of 30 respondents. The results showed that person reliability was 0.93 spread of person respondent was 54.06 and person separation was 3.66 However, item reliability result was 0.88, spread of item was 45.98 and item separation equal to 2.70 was fair. This paper was proven to be a significant contribution to the validity and reliability of using the Rasch model.
Simulation and performance evaluation of IEEE802.11 WLAN under different operating conditions
Authors: Khalaf Sara , Hasan Hamid M.
Published: July 2022

A wireless local area network (WLAN) based on IEEE802.11 protocol is the essential part for connection to the internet .and it is widely used in our life today and tomorrow. The growth in the number of nodes per small area likes home, office, and so on. This increase in density led to the degradation in performance in terms of throughput and delay experienced by the end-users. So many amendments proposed in order to improve the performance. Then the performance evaluation of WLAN is an important research topic. In this paper, the performance of WLAN working at 2.4GHz and 5 GHz assessed in a home-like area under the widely used applications the assessment is in terms of throughput and delay. The evaluation conducted by using the optimum networks (OPNET) 14.5 modeler simulator. In this work, we concluded that: using a single AP showed degradation in performance due to congestion. Because all nodes use the same transmission channel which showed clearly in the case of the data rate of 6 Mbps in both (a and g) standards. The effectiveness is about (1.1%, 1.3%) respectively. While using two APs improves the performance for the same case to about (28% and 65%) since it mitigates the congestion because each AP uses a different communication channel.
Model-predictive control based on Harris Hawks optimization for split-source inverter
Authors: Elthokaby Youssuf Ahmed , Abdelsalam Ibrahim , Abdel-Rahim Naser , Mohamed Abdealqawee Islam
Published: July 2022

This paper proposed a modified algorithm for controlling a single-phase split-source inverter. The proposed algorithm is a modified model predictive control based on Harris Hawks optimization, where the AC output voltage, the DC-link voltage, and the DC input current are controlled within one cost function. Hence, the discrete time models of both AC-side and DC-side are obtained. For proper operation of the modified MPC, each error term within the cost function has a weighting factor. Harris Hawks optimization technique is used to determine the weighting factors at each term of the cost function. The proposed algorithm is validated using MATLAB/Simulink. Simulation results show that the system has succeeded in controlling AC load voltage, input current, and achieving constant DC-link voltage over a wide operating range.
Techniques of medical image encryption taxonomy
Authors: Al-Fayoumi Mustafa A. , Odeh Ammar , Keshta Ismail , Ahmad Ashraf
Published: July 2022

Medical images are one of the most significant and sensitive data types in computer systems. Sending medical images over the internet necessitates using a robust encryption scheme that is resistant to cryptographic attacks. Confidentiality is the most critical part of the three security objectives for information systems security, namely confidentiality, integrity, and availability. Confidentiality is the most critical aspect for the secure storage and transfer of medical images. In this study, we attempt to classify various encryption methods in order to assist researchers in selecting the optimal strategy for protecting sensitive patient information while transferring medical images without alteration and outline the measures that should be adopted to address challenges and concerns relevant to techniques of medical image encryption.
Taguchi's T-method with nearest integer-based binary bat algorithm for prediction
Authors: Marlan Zulkifli Marlah , Jamaludin Khairur Rijal , Ramlie Faizir , Harudin Nolia
Published: July 2022

Taguchi’s T-method is a new prediction technique under the Mahalanobis-Taguchi system to predict unknown output or future states based on available historical information. Conventionally, in optimizing the T-method prediction accuracy, Taguchi’s orthogonal array is utilized to determine a subset of significant features to be used in formulating the optimal prediction model. This, however, resulted in a sub-optimal prediction accuracy due to its fixed and limited feature combination offered for evaluation and lack of higher-order feature interaction. In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi’s T-method. A comparative study is conducted by comparing the performance of the proposed method against the conventional approach using mean absolute error as the performance measure on four benchmark case studies. The results from experimental studies show a significant improvement in the T-method prediction accuracy. A reduction in the total number of features results in a less complex model. Based on the general observation, the nearest integer-based binary bat algorithm successfully optimized the selection of significant features due to recursive and repetitive searchability, in addition to its adaptive element in response to the current best solution in guiding the search process towards optimality.