Disturbances of visual perception in non-demented patients with Parkinson’s disease by R. Timofejavaitė, V. Vilda, A. Liveikienė, R. Kaladytė-Lokominienė

“…Parkinson’s disease (PD) is a neurodegenerative disease associated with a wide spectrum of non-motor symptoms, including visual hallucinations. Disturbances of visual perception are usually considered to be a complication of PD progression predicting a probability of psychosis or coexisting dementia. …”
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Visual analysis of fruit harvesting machine based on CiteSpace by YANG Daorina, ZHANG Fengkui, WANG Yulong, HE Ruohong, ZHU Jikui, LI Ping

“…With the help of visual analysis software Citespace v6.1.6R, the data of 838 English literatures were analyzed in terms of the number of published papers, authors, institutions, countries, journals, etc., and the visual images of co-occurrence network and density map were completed. …”
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EasyMetagenome: A user‐friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research by Defeng Bai, Tong Chen, Jiani Xun, Chuang Ma, Hao Luo, Haifei Yang, Chen Cao, Xiaofeng Cao, Jianzhou Cui, Yuan‐Ping Deng, Zhaochao Deng, Wenxin Dong, Wenxue Dong, Juan Du, Qunkai Fang, Wei Fang, Yue Fang, Fangtian Fu, Min Fu, Yi‐Tian Fu, He Gao, Jingping Ge, Qinglong Gong, Lunda Gu, Peng Guo, Yuhao Guo, Tang Hai, Hao Liu, Jieqiang He, Zi‐Yang He, Huiyu Hou, Can Huang, Shuai Ji, ChangHai Jiang, Gui‐Lai Jiang, Lingjuan Jiang, Ling N. Jin, Yuhe Kan, Da Kang, Jin Kou, Ka‐Lung Lam, Changchao Li, Chong Li, Fuyi Li, Liwei Li, Miao Li, Xin Li, Ye Li, Zheng‐Tao Li, Jing Liang, Yongxin Lin, Changzhen Liu, Danni Liu, Fengqin Liu, Jia Liu, Tianrui Liu, Tingting Liu, Xinyuan Liu, Yaqun Liu, Bangyan Liu, Minghao Liu, Wenbo Lou, Yaning Luan, Yuanyuan Luo, Hujie Lv, Tengfei Ma, Zongjiong Mai, Jiayuan Mo, Dongze Niu, Zhuo Pan, Heyuan Qi, Zhanyao Shi, Chunjiao Song, Fuxiang Sun, Yan Sun, Sihui Tian, Xiulin Wan, Guoliang Wang, Hongyang Wang, Hongyu Wang, Huanhuan Wang, Jing Wang, Jun Wang, Kang Wang, Leli Wang, Shao‐kun Wang, Xinlong Wang, Yao Wang, Zufei Xiao, Huichun Xing, Yifan Xu, Shu‐yan Yan, Li Yang, Song Yang, Yuanming Yang, Xiaofang Yao, Salsabeel Yousuf, Hao Yu, Yu Lei, Zhengrong Yuan, Meiyin Zeng, Chunfang Zhang, Chunge Zhang, Huimin Zhang, Jing Zhang, Na Zhang, Tianyuan Zhang, Yi‐Bo Zhang, Yupeng Zhang, Zheng Zhang, Mingda Zhou, Yuanping Zhou, Chengshuai Zhu, Lin Zhu, Yue Zhu, Zhihao Zhu, Hongqin Zou, Anna Zuo, Wenxuan Dong, Tao Wen, Shifu Chen, Guoliang Li, Yunyun Gao, Yong‐Xin Liu

“…To address these challenges, we developed EasyMetagenome, a user‐friendly pipeline that supports multiple analysis methods, including quality control and host removal, read‐based, assembly‐based, and binning, along with advanced genome analysis. …”
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The Verification of the Usefulness of Electronic Nose Based on Ultra-Fast Gas Chromatography and Four Different Chemometric Methods for Rapid Analysis of Spirit Beverages by Paulina Wiśniewska, Magdalena Śliwińska, Jacek Namieśnik, Waldemar Wardencki, Tomasz Dymerski

“…A set of 24 samples of raw spirits, 33 samples of vodkas, and 8 samples of whisky were analysed by fast GC e-nose. Four data analysis methods were used. The PCA was applied for the visualization of dataset, observation of the variation inside groups of samples, and selection of variables for the other three statistical methods. …”
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Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ-Biplot Statistical Methods by Javier De La Hoz-M, Karime Montes-Escobar, Viorkis Pérez-Ortiz

“…With recent technological advances, artificial intelligence (AI) has begun to play a crucial role in improving diagnostic and treatment methods. It is crucial to understand how AI has integrated into LC research and to identify the main areas of focus. …”
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Use of Sanger Sequencing in Etiological Diagnostics of Bacterial Complications in Hospital Environment by N. E. Barantsevich, E. P. Barantsevich

“…The study used classical microbiological methods of seeding and identification of cultures, as well as Sanger sequencing. …”
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Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard (<i>Brassica juncea</i> L.) Based on Discrete Element Method by Man Gu, Haiyang Shen, Weiwen Luo, Jie Ling, Bokai Wang, Fengwei Gu, Shumin Song, Liang Pan, Zhichao Hu

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Psychological and Linguistic Peculiarities of English Mastering by the Children of Young School Age in the Process of Associative Symbols Usage by Людмила Гусак, Ольга Шапран, Юрій Шапран

“…It is proved that the use of the associative symbol method in learning of a foreign language allows younger students to perceive language material with the help of all analyzers: visual, auditory, speech and motor ones. …”
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Visual and motor skills development in preterm and full-term infants: A protocol for longitudinal data collection by Ana Isabel Ferreira, Alice Nunes, Cláudia Silva, Teresa Tomé, Cláudia Quaresma, Carla Quintão

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Validation and application of a visual LAMP assay for Mpox diagnosis — Insights from clinical samples in Thailand by Wansadaj Jaroenram, Yada Ongchanchai, Ravee Nitiyanontakij, Pawita Suwanwatthana, Ratchana Ponang, Wansika Kiatpathomchai

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(Re)mobiliser les acteurs autour d’un projet de territoire : un enjeu de méthode et de medium by Elsa Vivant

“…The article will show how the attention paid to the method redefines the objectives of the process: from the remobilization of local actors to the projection into a future to be made. …”
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A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport by Watson P. J., Fieldsend J. E., Stiles V.H.

“…This scoping review provides coaches, sport-scientists and researchers with a data-driven visual resource to aid the selection of methods of acquiring data from athletes in all categories of sport relative to logistical circumstances. …”
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Exploring the Potential of Electroencephalography Signal–Based Image Generation Using Diffusion Models: Integrative Framework Combining Mixed Methods and Multimodal Analysis by Chi-Sheng Chen, Shao-Hsuan Chang, Che-Wei Liu, Tung-Ming Pan

“…ObjectiveThe primary goal of this study was to extend EEG-based classification to image generation, addressing the limitations of previous methods and unlocking the full potential of EEG for image synthesis. …”
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A rapid review of adolescent engagement in massive open online courses (MOOCS) in health and education: Content, engagement strategies and evaluation methods by Putu Novi Arfirsta Dharmayani, Allyson R. Todd, Jennifer Dam, Josephine Y. Chau, Sara Wardak, Katrina E. Champion, Seema Mihrshahi, Stephanie R. Partridge

“…A narrative synthesis method was used to summarise findings based on the following themes: topics covered in MOOCs, engagement strategies and MOOC content, and evaluation methods.Results Twenty-three studies were included in this review, with six health-related topics. …”
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Stop to smell the virtual roses: a mixed-methods pilot study on the impact of multisensory virtual reality nature experiences on feelings of relaxation by Marilia Karla Soares Lopes, Belmir Jose De Jesus, Olivier Manuel Rosanne, Susanna Pardini, Lora Appel, Lora Appel, Lora Appel, Christopher Smith, Christopher Smith, Tiago Henrique Falk

“…IntroductionThis study aimed to investigate the psychological and physiological impacts of audio-visual (AV) and audio-visual-olfactory (AVO) stimuli within an immersive virtual nature environment.MethodsTwenty-two nurses from the mental health in-patient ward of a Canadian hospital participated in the study. …”
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Analysis of Splicing Manipulation in Digital Images using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) Methods by Zumratul Muhidin, Muh. Nasirudin Karim, Muhamad Masjun Efendi

“…However, this can lead to negative impacts, including visual deception. This research aims to detect splicing type image manipulation using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) methods. …”
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REAL-TIME ELASTOGRAPHY AND ITS CLINICAL APPLICATION COMPARED WITH OTHER METHODS FOR EVALUATION OF THE LIVER FIBROSIS DEGREE IN PATIENTS WITH CHRONIC HEPATITIS C by M. A. Belopolskaya, V. Yu. Avrutin, O. D. Denisova, E. V. Lichnaya, E. Yu. Yushina, S. I. Gurina, A. V. Dmitriev, A. A. Yakovlev

“…Due to the possibility to visualize a larger area under study, the RTE method has clear advantages in evaluating the degree of fibrosis in liver tissue in patients with focal changes in the liver. …”
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Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

“…Purpose This study developed and evaluated a feature-based ensemble model integrating the synthetic minority oversampling technique (SMOTE) and random undersampling (RUS) methods with a random forest approach to address class imbalance in machine learning for early diabetes detection, aiming to improve predictive performance. …”
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Performance of Dental Students in Understanding and Retention of Oral Pathology Concepts: A Comparative Analysis of Traditional versus Live-Field Teaching Methods by Anitha Salian, Swathi Sanal Kumar, Srikant Natarajan, Amitha J. Lewis, Nidhi Manaktala, Dilip G Naik, Karen Boaz, Nandita KP, Shweta Yellapurkar

“…Understanding oral aspects of pathology by traditional techniques has always been a paradigm in the field of dental education. Traditional methods of teaching include interaction using black board, projectors, and alternate methods of teaching such as a student-centered approach where live-field demonstrations, audio visual aids, and student interaction are also gaining importance, ultimately promoting active education. …”
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Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…In this regard, there is great interest in developing models of risk stratification to identify adverse outcomes in these patients with a view to more careful monitoring of patients in this group.Material and methods. For the construction of predictive models, a statistical method was used for the classification trees and, the procedure for neural networks implemented in the STATISTICA package. …”
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