M2FNet: multi-modality multi-level fusion network for segmentation of acute and sub-acute ischemic stroke by Shannan Chen, Xuanhe Zhao, Yang Duan, Ronghui Ju, Peizhuo Zang, Shouliang Qi

“…Abstract Ischemic stroke, a leading cause of death and disability, necessitates accurate detection and automatic segmentation of lesions. While diffusion weight imaging is crucial, its single modality limits the detection of subtle lesions and artifacts. …”
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Hydroseismograms at Gran Sasso aquifer, central Italy, for earthquake hydrology studies by Domenico Isaya, Gaetano De Luca, Giuseppe Di Carlo, Vincenzo Guerriero, Raffaele Martorana, Marco Tallini

“…We compared data from the HPD and from GIGS to assess the HPD’s ability to detect earthquakes. The analysis covered the period from May 2015 to December 2023. …”
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Role of exhaled hydrogen sulfide in the diagnosis of colorectal cancer by Jian Chen, Yujen Tseng, Peizhun Du, Pengcheng Liu, Huilu Zhang, Guangjian Huang, Cheng’en Hu

“…The ROC curve showed an AUC value of 0.73 and 0.71 based on oral and nasal H2S detection, respectively. The exhaled H2S in patients with CRC was correlated with gender, lesion location and tumour progression, including depth of invasion, lymphatic metastasis and TNM (Tumor, Lymph Nodes, Metastasis) staging.Conclusion Exhaled H2S analysis is a convenient and non-invasive detection method for diagnosing CRC, suggesting a potential role in population screening for CRC.…”
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Innovating Cybersecurity in Tanzanian Academia: A Mobile Tool for Combatting Social Engineering Threats by Lucas Hosea Mjema, Bonny Said Mgawe, Mussa Ally Dida

“…Future work will integrate machine learning for enhanced threat detection and voice-guided features for accessibility, aiming to continuously adapt to evolving attack strategies. …”
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An Amperometric Sensor with Anti-Fouling Properties for Indicating Xylazine Adulterant in Beverages by Arielle Vinnikov, Charles W. Sheppard, Ann H. Wemple, Joyce E. Stern, Michael C. Leopold

“…The optimization of different materials and parameters during development created a greater fundamental understanding of the interfacial electrochemistry, allowing for a more informed subsequent design of effective sensors exhibiting XYL selectivity, effective sensitivity, rapid response times (<20 s), and low estimated limits of detection (~1 ppm). Most importantly, the demonstrated XYL sensors are versatile and robust, easily fabricated from common materials, and can effectively detect XYL at <10 ppm in both common alcoholic and non-alcoholic beverages, requiring only minimal volume (20 µL) of the spiked beverage for a standard addition analysis.…”
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Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis by Faisal Abdulaziz Almisned, Natacha Usanase, Dilber Uzun Ozsahin, Ilker Ozsahin

“…Employing rapid sophisticated models with high accuracy and precision holds significant promise in facilitating the effective detection of various diseases, including pancreatic cancer.…”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…Abstract Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. The speed-up process of detection and classification is crucial for effective cancer treatment. …”
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Investigation of Antibiotic Resistance of <i>E. coli</i> Associated with Farm Animal Feces with Participation of Citizen Scientists by Anna M. Timofeeva, Maria R. Galyamova, Dmitriy M. Krivosheev, Sergey Yu. Karabanov, Sergey E. Sedykh

“…The molecular analysis involved isolating the genomic DNA of the bacteria and conducting PCR assays to detect the <i>vanA</i>, <i>vanB</i>, and <i>mcr-1</i> antibiotic resistance genes. …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…Accurate segmentation of skin lesions is essential for early detection and successful treatment, yet many current techniques struggle to balance computational efficiency with the ability to capture complex lesion features. …”
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Experimental study on seepage characteristics model of tunnel lining based on infrared imaging by Zhijian Wu, Hua Wu, Yichen Peng, Renjie Song, Yimin Wu, Haiping Wu, Guangzheng Zhuang

“…This research lays a foundational basis for the rapid identification of water seepage areas in infrared detection technology for tunnel water leakage, while also providing theoretical support for promoting the transition from qualitative to quantitative analysis of water seepage areas in current infrared detection practices.…”
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Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier by Kun Zhang, Minrui Fei, Xin Li, Huiyu Zhou

“…Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. …”
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Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning by Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu

“…We conducted an interpretability analysis of the model using SHapley Additive exPlanations (SHAP) to clarify key features and decision-making mechanisms. …”
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Ensemble Deep Learning Models for Enhanced Brain Tumor Classification by Leveraging ResNet50 and EfficientNet-B7 on High-Resolution MRI Images by Retinderdeep Singh, Sheifali Gupta, Salil Bharany, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman

“…As it shows better accuracy and dependability, the suggested ensemble model implies that more consistent and reliable brain tumor detection is feasible. This paper focuses on the major contribution modern deep learning approaches provide to improve diagnostic results and offers sharp analysis on the development of artificial intelligence-driven medical imaging.…”
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Esophageal cancer and precancerous lesions: focus on resident bacteria and fungi by Liping Yuan, Yi Zhang, Chengli Wen, Sha Liu, Qin Zhang, Wen Yin, Qian Jia, Maolin Chen, Gang Luo, Mingming Deng, Muhan Lv, Wanmeng Xiao

“…Aspergillus demonstrated potential diagnostic value for ESIN, and its ratio to pathogenic functional clusters within network analysis significantly enhanced ESCC detection accuracy. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

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Optical and Digital Microscopic Imaging Techniques and Applications in Pathology by Xiaodong Chen, Bin Zheng, Hong Liu

“…The modern digital pathology combines the power of microscopy, electronic detection, and computerized analysis. It enables cellular-, molecular-, and genetic-imaging at high efficiency and accuracy to facilitate clinical screening and diagnosis. …”
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Surveillance and characteristics of vancomycin-resistant Enterococcus isolates in a Chinese tertiary hospital in Shenzhen, 2018 to 2024 by Hongwei Shen, Qiaomin Zhang, Shaobo Li, Tingting Huang, Wen Ma, Daming Wang, Peng Li

“…The clinical characteristics, antimicrobial susceptibility profiles and molecular features were subjected to analysis. Results: A total of 34 non-duplicate VRE isolates were identified, comprising 32 vancomycin-resistant Enterococcus faecium (VREfm) and 2 vancomycin-resistant Enterococcus faecalis (VREfa) strains. …”
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Molecular and genetic characteristics of Epstein-Barr virus isolates in adult patients with HIV infection in Nizhny Novgorod region by Mariia I. Popkova, E. N. Filatova, S. V. Minaeva, N. A. Sakharnov, O. V. Utkin

“…In the typical structure of Nizhny Novgorod region EBV isolates in the adults HIV(–) group, only EBV-1 was detected. In the HIV(+) group detection rate of EBV-1 was 88.2±3.4%, EBV-2 — 5.4±2.3%, EBV-1+EBV-2 — 6.4±2.6% cases. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…Among these, RGB imaging and machine vision technology may offer a promising solution for early disease detection and proactive disease management in advanced pig husbandry practices. …”
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Deep Learning-Based Rapid Flow Field Reconstruction Model with Limited Monitoring Point Information by Ping Wang, Guangzhong Hu, Wenli Hu, Xiangdong Xue, Jing Tao, Huabin Wen

“…The rapid reconstruction of the internal flow field within pressure vessel equipment based on features from limited detection points was of significant value for online monitoring and the construction of a digital twin. …”
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