Electrophysiological Insights in Exergaming—Electroencephalography Data Recording and Movement Artifact Detection: Systematic Review by Carolina Rico-Olarte, Diego M Lopez, Bjoern M Eskofier, Linda Becker

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Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery by Răzvan Danciu, Bogdan Andrei Danciu, Luiz-Sorin Vasiu, Adelaida Avino, Claudiu Ioan Filip, Cristian-Sorin Hariga, Laura Răducu, Radu-Cristian Jecan

“…This provides a narrow color spectrum image that is amenable to the development of an artificial neural network in the context of current technological progress. In the present study, we introduce a novel attention-enhanced recurrent residual U-Net (AER2U-Net) model that is able to accurately segment flaps on thermographic images. …”
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Cross-Level Adaptive Feature Aggregation Network for Arbitrary-Oriented SAR Ship Detection by Lu Qian, Junyi Hu, Haohao Ren, Jie Lin, Xu Luo, Lin Zou, Yun Zhou

“…The rapid progress of deep learning has significantly enhanced the development of ship detection using synthetic aperture radar (SAR). …”
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Optimizing survey conditions for Burmese python detection and removal using community science data by Kelly R. McCaffrey, Melissa A. Miller, Sergio A. Balaguera-Reina, Alexander S. Romer, Michael Kirkland, Amy Peters, Edward F. Metzger, LeRoy Rodgers, Frank J. Mazzotti

“…Consequently, programs exist which incentivize contractors to remove pythons. …”
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Advances in porcine epidemic diarrhea virus research: genome, epidemiology, vaccines, and detection methods by Linlin Zhuang, Ying Zhao, Jingyi Shen, Li Sun, Pan Hao, Jianbo Yang, Yu Zhang, Qiuping Shen

“…This paper presents a review of the latest research progress on PEDV genome, molecular epidemiology, vaccine development, and molecular detection methods. …”
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A novel dataset and deep learning object detection benchmark for grapevine pest surveillance by Giorgio Checola, Paolo Sonego, Roberto Zorer, Valerio Mazzoni, Franca Ghidoni, Alberto Gelmetti, Pietro Franceschi

“…However, progress in developing such a system has been hindered by the lack of effective datasets for training. …”
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E-CLIP: An Enhanced CLIP-Based Visual Language Model for Fruit Detection and Recognition by Yi Zhang, Yang Shao, Chen Tang, Zhenqing Liu, Zhengda Li, Ruifang Zhai, Hui Peng, Peng Song

“…With the progress of agricultural modernization, intelligent fruit harvesting is gaining importance. …”
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Detection and analysis of Serpin and RP26 specific antibodies for monitoring Schistosoma haematobium transmission. by Mio Kokubo-Tanaka, Anna Overgaard Kildemoes, Evans Asena Chadeka, Benard Ngetich Cheruiyot, Taeko Moriyasu, Miho Sassa, Risa Nakamura, Mihoko Kikuchi, Yoshito Fujii, Claudia J de Dood, Paul L A M Corstjens, Satoshi Kaneko, Haruhiko Maruyama, Sammy M Njenga, Remco de Vrueh, Cornelis Hendrik Hokke, Shinjiro Hamano

“…<h4>Conclusion/significance</h4>IgG detection against the ShSerpin-RP26 mixture demonstrated better sensitivity for detection of active S. haematobium infection. …”
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Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands by Deepak H. Basavegowda, Inga Schleip, Paul Mosebach, Cornelia Weltzien

“…Here, we developed a DL-based object-detection model to identify indicator species, a group of vascular plant species that serve as surrogates for biodiversity assessment in high nature value (HNV) grasslands. …”
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Monitoring the long-term molecular epidemiology of the pneumococcus and detection of potential 'vaccine escape' strains. by Gagan A Pandya, M Catherine McEllistrem, Pratap Venepally, Michael H Holmes, Behnam Jarrahi, Ravi Sanka, Jia Liu, Svetlana A Karamycheva, Yun Bai, Robert D Fleischmann, Scott N Peterson

“…The phylogenetic analysis of the 11 concatenated genes was performed with the MrBayes program, the single nucleotide polymorphism (SNP) analysis with the DNA Sequence Polymorphism program (DnaSP), and the recombination event analysis with the recombination detection package (RDP).…”
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Molecular detection and characterization of spotted fever group Rickettsia and Anaplasma in ticks from Pakistan by Khan Sadia Salim, Ahmed Haroon, Benedict S. Khoo, Evan J. Kipp, Abid Ali, Davide Sassera, Muhammad Umair Aziz, Jonathan D. Oliver

“…PCR amplification of the ompA gene was used for detection of Rickettsia and portions of the 16S rDNA gene for detection of Anaplasma. …”
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ERK2-mediated phosphorylation of ZEB1 at S322 enhances PD-L1 expression and EMT, leading to pancreatic cancer progression by Mi Kyung Park, Hye Ja Lee, Jee Young Sung, Hyun Jung Byun, Hyun Ji Kim, Eun Ji Kim, Tuan Minh Nguyen, Gyeoung Jin Kang, Seung Hyun Oh, Jae Gal Shim, Ho Lee, Ki Taek Nam, Yong Yun Kim, Seung Bae Rho, Sang Gun Kim, Chang Hoon Lee

“…Inhibiting S322 phosphorylation mitigates EMT, PD-L1 expression, and progression of pancreatic cancer. The phosphoS322 detection antibody might be a valuable tool for predicting pancreatic cancer prognosis. …”
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Progress and challenges for the application of machine learning for neglected tropical diseases [version 3; peer review: 1 approved, 2 approved with reservations] by Rahmad Akbar, Norfarhan Mohd-Assaad, ChungYuen Khew

“…This can be achieved by utilizing machine learning tools to better the surveillance, prediction and detection program, and combat NTDs through the discovery of new therapeutics against these pathogens. …”
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Progress and challenges for the application of machine learning for neglected tropical diseases [version 2; peer review: 1 approved, 2 approved with reservations] by Rahmad Akbar, Norfarhan Mohd-Assaad, ChungYuen Khew

“…This can be achieved by utilizing machine learning tools to better the surveillance, prediction and detection program, and combat NTDs through the discovery of new therapeutics against these pathogens. …”
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Because the present dataset will be an important resource for researchers and developers working on automatic blood cell detection and classification systems, we will make it publicly available under the open-access nature in order to accelerate the collaboration and progress in this field.…”
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Transfer learning driven fake news detection and classification using large language models by Basma S. Alqadi, Suliman A. Alsuhibany, Samia Nawaz Yousafzai, Sharf Alzu’bi, Deema Mohammed Alsekait, Diaa Salama AbdElminaam

“…The extensive dissemination of fake news, regardless of whether it is produced by human beings or computer programs, has a negative impact not only on society but also on individuals in terms of politics and society. …”
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Combination of Individual Tests to Improve Diagnostic Accuracy in <i>Chlamydia trachomatis</i> Detection by Jelena Tošić-Pajić, Predrag Sazdanović, Aleksandar Nikolov, Dragan R. Milovanović, Violeta Ninković, Jelena Čukić, Slobodan Subotić, Marija Šorak, Dejan Baskić

“…Despite all national programs, strategies and guidelines, chlamydial infection is still the leading infection worldwide, especially in young populations. …”
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Environmental DNA Methods for Detection of Varroa destructor in Honey Bee (Apis mellifera) Hives by John M. K. Roberts, Richard J. Hall, Foyez Shams, Francisco Encinas‐Viso, Florence Bravo, Jenn Soroka, Liz Milla, Natale Snape, Francesco Martoni, Antonette Walford, Dianne Gleeson, Alejandro Trujillo‐González

“…Using varroa‐free hives introduced from the Chatham Islands to Wellington, New Zealand, we were also able to show that V. destructor eDNA was detectable during the initial invasion of hives. Our data highlight the potential for incorporating eDNA methods into Australia's biosecurity surveillance programs to help limit the spread of varroa mites to new areas and detect future incursions.…”
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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

“…For the short tensile process leading to significant amount of damage, a real-time and non-destructive detection method has been used to monitor the tensile damage progression and predict the residual life of the material. …”
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Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning by Farid, Proshanta Kumer Das, Monirul Islam, Ebna Sina

“…Next, we have customised the LabelImg image annotation tool to improve the following features: (a) Changing Label Font &#x0026; Border, (b) Detecting Incorrect Labels, (c) Abbreviating Label Names, (d) Improving Crosshair &#x0026; Bounding Box Guide, (e) Adding Progress Information, and (f) Improving File List Panel. …”
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