Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

“…Its superior performance and precision make it ideal for real-world applications in automated medical diagnosis, treatment planning, and more, offering reliable and efficient healthcare outcomes.…”
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Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets by Sumaiya Binte Shahid, Maleeha Kaikaus, Md. Hasanul Kabir, Mohammad Abu Yousuf, A. K. M. Azad, A. S. Al-Moisheer, Naif Alotaibi, Salem A. Alyami, Touhid Bhuiyan, Mohammad Ali Moni, Mohammad Ali Moni, Mohammad Ali Moni

“…The results indicate that our proposed model achieved a standard accuracy of 96.96%, 98.35% and 97.13% for ADNI, OASIS, and Merged datasets, respectively, outperforming other competing DL structures.DiscussionWe hope that our proposed framework may automate the precise classifications of various AD categories, and thereby can offer the prompt management and treatment of cognitive and functional impairments associated with AD.…”
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Structure-guided deep learning for back acupoint localization via bone-measuring constraints by Yulong Wang, Tian Lan, Wenjian Dou, Zhi Chen, Song Zhang, Gong Chen, Gong Chen

“…This study introduces a novel automated framework for recognizing back acupoints, uniquely integrating the traditional TCM bone-measuring principle with advanced deep learning for medical image analysis. …”
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Characterization of blaCTX-M Gene in One Klebsiella pneumoniae Isolate from Sick Chickens in China by Gong-zheng HU, Han HU, Bao-guang LIU, Li YUAN, Jian-hua LIU, Yu-shan PAN, Hua WU, Yu-xia CHEN

“…Two Klebsiella pneumoniae isolates (Kpc1 and Kpc2) were obtained from liver samples of seven dead chickens and identified with Vitek-32 automated identification system. Antimicrobial susceptibilities were determined by the microdilution broth method. …”
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Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasoundCentral MessagePerspective by Tsukasa Ishiwata, MD, PhD, Terunaga Inage, MD, PhD, Masato Aragaki, MD, PhD, Alexander Gregor, MD, PhD, Zhenchian Chen, MD, Nicholas Bernards, PhD, Kamran Kafi, MD, Kazuhiro Yasufuku, MD, PhD

“…An annotation system facilitated automated image extraction from endobronchial ultrasound videos. …”
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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“… The spectral separation of brain tumour using multimodal Magnetic Resonance Imaging (MRI) is a crucial but laborious undertaking in the field of medical imaging and suggests advanced procedures of automated models in order to mitigate the limitation of manual marking. …”
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Precision medicine in oncology: role and prospects of mass spectrometry by E. S. Khmelevskaya, E. A. Perina, E. E. Buyko, A. A. Ufandeev, O. A. Kaidash, V. V. Ivanov, A. N. Baikov, E. V. Parochkina, E. V. Udut

“…Moreover, contemporary mass spectrometry technology is capable of automating the analysis, thereby facilitating its diverse clinical applications in diagnosis, drug therapy selection, and even potential assistance to surgical oncologists in the operating room. …”
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Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images by Chittathuru Himala Praharsha, Alwin Poulose, Chetan Badgujar

“…This research contributes to advancing automated pest detection systems, ultimately aiding in early pest identification and proactive pest management strategies in tomato cultivation.…”
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Low-volume and thin-layer panoponics in intensive artificial-light culture of cucumber: basics and results of application by O. R. Udalova, L. M. Anikina, G. V. Mirskaya, P. Yu. Kononchuk, G. G. Panova

“…The creation and widespread implementation of high-tech automated phytotechnological complexes based on innovative technologies for growing plants in intensive light culture, including the development of new-generation root-dwelling environments, low-volume and thin-layer analogs of soil and systems for providing plants with water and mineral nutrition elements, is one of the promising ways to solve this problem.The purpose. …”
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Distributions of non‐native and native plants are not determined by the same environmental factors by Bart Steen, Antoine Adde, Martin A. Schlaepfer, Antoine Guisan, Luigi Maiorano

“…In the framework of correlative species distribution models, we used newly developed methods for efficient automated selection of a parsimonious number of predictor environmental variables to determine which ones, out of a large candidate set in eight classes, have the strongest explanatory power for both species groups. …”
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Review of Luneburg Lens Antenna Designs Manufactured Using 3D Printing by D. V. Kusaykin, I. V. Grigoriev, D. V. Denisov, P. A. Turalchuk

“…The disadvantage of Luneburg lens antennas has always been the complexity of their manufacture; however, additive manufacturing technologies open up new opportunities for their fast, high-quality, and automated production. Various 3D printing technologies can be used to create dielectric lens antennas, which differ in the resolution of printers, printing speed, and cost. …”
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Dendritic cells and type I and II interferon production in the local microenvironment of sinonasal tumors by D. B. Nizheharodava, N. A. Marozava, G. I. Ivanchyk, S. S. Kulinich, J. V. Kolyadich, M. M. Zafranskaya

“…Tumor-infiltrating immune cells were isolated from tissue using automated and enzymatic cell dissociation. The surface and intracellular cells phenotype was assessed using monoclonal antibodies and flow cytometry. …”
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ESP distance learning methods At technical universities by Nadiia P. Vilkhovchenko

“…The process of control has become automated and, thus, more convenient. Diagnostic and control works were performed in the form of current and final tests, hosted on the Moodle platform (virtual learning environment of Lviv Polytechnic National University). …”
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Data Verification and Respondent Validity for a Web-Based Sexual Health Survey: Tutorial by Jayelin N Parker, Theresa L Rager, Jade Burns, Okeoma Mmeje

“…However, this shift toward digital platforms brings forth a new set of challenges, particularly the infiltration of automated bots that can compromise data integrity and the reliability of survey results. …”
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Few-shot transfer learning enables robust acoustic monitoring of wildlife communities at the landscape scale by Giordano Jacuzzi, Julian D. Olden

“…Pre-trained classifiers for bioacoustic species detection have emerged as accessible tools for conservation and automated biodiversity monitoring at scale. Despite their wide use, these models are trained primarily on high-quality, weakly labeled species recordings from disparate regions that can fail to account for variation in passive ambient soundscape data due to poor signal-to-noise ratio and the presence of novel sounds such as abiotic noise and concurrent vocalizations. …”
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An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

“…Traditional ripeness assessment methods are often subjective, labor-intensive, or destructive, highlighting the need for automated, non-invasive solutions. This study evaluates the performance of R-CNN-based deep learning models—Faster R-CNN and Mask R-CNN—for the detection and segmentation of cocoa pods across four ripening stages (0–2 months, 2–4 months, 4–6 months, and >6 months) using the RipSetCocoaCNCH12 dataset, which is publicly accessible, comprising 4116 labeled images collected under real-world field conditions, in the context of precision agriculture. …”
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Spatiotemporal Distribution Characteristics and Influencing Factors of Negative Air Ion (NAI) Concentrations in Yunnan by Xiaodong Dou, Shengfang Hou, Yinghua Shen, Qiyang Peng, Huajun Liu, Qi Yi, Yujie Liu

“…To comprehensively investigate the spatiotemporal variation characteristics and influencing factors of negative air ion (NAI) concentrations in Yunnan Province, based on one year of NAI concentration data from 88 automated monitoring stations across Yunnan, combined with meteorological data, pollutant levels (PM2.5, SO2, NO2), vegetation coverage (NDVI), and topographic data, this paper clarified for the first time the temporal variation characteristics of NAI concentration in Yunnan Province and its influencing factors. …”
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Microaccelerometer on Surface Acoustic Waves with a Ring Resonator on Anisotropic Material by Dmitry P. Lukyanov, Alexander M. Boronakhin, Sergey Yu. Shevchenko, Mariya A. Khivrich, Temurmalik A. Amirov

“…Experimental studies were also conducted using the INSTRON 5985 floor automated test system.Results. An original design of MMA on a SAW capable of measuring shock effects in hundreds of g was proposed. …”
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Evaluation of serum electrolytes and kidney function among untreated malaria (Plasmodium falciparum) patients in health centers, Konso zone, South Ethiopia by Bachaw Basire, Belayhun Kibret, Kibru Kifle, Freshet Assefa

“…Data were collected using questionnaires administered by interviewers. 5 ml of blood samples were collected to investigate kidney function such as creatinine and urea, as well as serum electrolytes such as sodium ion (Na+) and potassium ion (K+), using a chemistry automated analyzer. Data were analyzed using the statistical package for social science (SPSS) version 27. …”
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Real‐Time Behaviour Recognition on Bio‐Loggers Enables Autonomous Audio Playback Experiments in Free‐Ranging Seabirds by Ryoma Otsuka, Hibiki Sugiyama, Yuichi Mizutani, Ken Yoda, Takuya Maekawa

“…However, traditional audio playback experiments could only be performed in limited locations and/or situations where direct observation and/or video recording by human observers or installation of automated devices, such as camera traps, were possible. …”
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