Unsupervised Anomaly Detection with Continuous-Time Model for Pig Farm Environmental Data by Heng Zhou, Seyeon Chung, Malik Muhammad Waqar, Muhammad Ibrahim Zain Ul Abideen, Arsalan Ahmad, Muhammad Ans Ilyas, Hyongsuk Kim, Sangcheol Kim

“…These findings highlight the practical value of accurate anomaly detection in smart farming systems; timely identification of environmental irregularities enables proactive intervention, reduces animal stress, minimizes disease risk, and ultimately improves the sustainability and productivity of livestock operations.…”
Get full text

An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…This approach fully utilizes all feature map information while minimizing the computational and memory requirements. (2) the neck network structure is optimized using the Vovnet Gsconv Cross Stage Partial module. This operation also reduces the computational cost by decreasing the amount of required feature map channels, while maintaining the effectiveness of the feature representation. (3) he Minimum Point Distance Intersection over Union loss function is employed to optimize bounding box detection during model training. (4) to construct the overall network structure, the Layer-wise Adaptive Momentum Pruning algorithm is used for thinning.ResultsExperiments on the TinyPerson dataset demonstrate that IYFVMNet achieves a 46.3% precision, 30% recall, 29.3% mAP50, and 11.8% mAP50-95.DiscussionThe model exhibits higher performance in terms of accuracy and efficiency when compared to other benchmark models, which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides a reference for future research.…”
Get full text

RT-DETR-Smoke: A Real-Time Transformer for Forest Smoke Detection by Zhong Wang, Lanfang Lei, Tong Li, Xian Zu, Peibei Shi

“…To tackle these issues, we propose RT-DETR-Smoke, a specialized real-time transformer-based smoke-detection framework. First, we designed a high-efficiency hybrid encoder that combines convolutional and Transformer features, thus reducing computational cost while preserving crucial smoke details. …”
Get full text

SGSNet: a lightweight deep learning model for strawberry growth stage detection by Zhiyu Li, Jianping Wang, Guohong Gao, Yufeng Lei, Chenping Zhao, Yan Wang, Haofan Bai, Yuqing Liu, Xiaojuan Guo, Qian Li

“…Finally, the Inner-IoU optimization loss function is applied to accelerate model convergence and enhance detection accuracy.ResultsTesting results indicate that SGSNet performs exceptionally well across key metrics, achieving 98.83% precision, 99.45% recall, 99.14% F1 score, 99.50% mAP@0.5, and a loss value of 0.3534. …”
Get full text

Associations of sputum eosinophilia with pulmonary function and respiratory symptoms in bakery workers by O Giahi, M Ebrahemzadih, E Darvishi, J Khoubi, R Soltani Gerdfaramarzi

“…However, the median of voluminal percentage in bakery workers except forced vital capacity was reduced (p < 0.001). The mean respiratory volume of bread-bakers was reduced compared with supermarket employees (p < 0.05). …”
Get full text

Detection System Design and Implementation for Foreign Objects in Automatic Platform Door Gap by YU Qingguang, WANG Shi, GAO Bonan, CHEN Yuxuan, XIAO Chengbo, LIU Youqi, WANG Yujin, ZHAO Ming, LI Le, CAI Guanzhi

“…The use of multi-dimensional deep learning techniques reduces the probability of false alarms. Result & Conclusion In system design, a cross-stacking layered sensor installation method is proposed, enabling the redundant detection function of foreign objects in platform door gaps. …”
Get full text

Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

“…Next, we developed a novel pyramid pooling module(DASPPF) to capture global information through average pooling, effectively reducing the impact of edge and background noise on detection. …”
Get full text

Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences by Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng

“…Regardless of the difference in driver fingerprinting among the drivers being tested, using UCPs instead of IDBCPs to compute measurements will limit the drowsiness-detection performance of the measurements and reduce drowsiness-detection accuracies at the individual driver level. …”
Get full text

Functional gold nanoparticles in diagnosis and treatment of cancer: A systematic review by Bingrui Li, Maihemuti Yakufu, Ru Xie, Hanfei Peng, Xiaohu Mi, Hairegu Tuxun

Get full text

A ROLE FOR INTERLEUKIN 8 IN DIRECT REGULATION OF T CELL FUNCTIONAL ACTIVITY by M. E. Meniailo, V. V. Malashchenko, V. A. Shmarov, N. D. Gasatova, O. B. Melashchenko, A. G. Goncharov, G. V. Seledtsova, V. I. Seledtsov

Get full text

Selenium Accumulating Leafy Vegetables Are a Potential Source of Functional Foods by Petro E. Mabeyo, Mkabwa L. K. Manoko, Amra Gruhonjic, Paul A. Fitzpatrick, Göran Landberg, Máté Erdélyi, Stephen S. Nyandoro

“…Hence, following careful evaluation the studied vegetables may be considered as selenium enriched functional foods.…”
Get full text

Urinary Extracellular Vesicles: Potential Biomarkers of Renal Function in Diabetic Patients by Agnieszka Kamińska, Mark Platt, Joanna Kasprzyk, Beata Kuśnierz-Cabala, Agnieszka Gala-Błądzińska, Olga Woźnicka, Benedykt R. Jany, Franciszek Krok, Wojciech Piekoszewski, Marek Kuźniewski, Ewa Ł. Stępień

“…Albumin, uromodulin, and number of unique proteins related to cell stress and secretion were detected in the EVs fraction. Density and size of urinary EVs reflect deteriorated renal function and can be considered as potential renal damage biomarkers.…”
Get full text

Echocardiographic Assessment of Cardiac Structure and Function of Centenarians: A Systematic Review by Andrea Sonaglioni, Gian Luigi Nicolosi, Giovanna Elsa Ute Muti-Schünemann, Alessio Polymeropoulos, Michele Lombardo, Paola Muti

“…The centenarians were predominantly females [76.3% (IQR 60–85%)] with a small body surface area, long history of hypertension and slightly impaired renal functional reserve. The centenarian population showed a reduced burden of cardiovascular disease but an increased comorbidity burden, as assessed using the Charlson [median value 3.7 (IQR 1.8–5.5)] and Katz [median value 2.1 (IQR 1.1–3.1)] indexes. …”
Get full text

Case of autosomal dominant optic atrophy with relatively good visual function by Midori Tachibana, Takaaki Hayashi, Yuro Igawa, Kei Mizobuchi, Yosuke Miyasaka, Takashi Tsuchihashi, Kei Shinoda

“…We report our longitudinal findings of a 56-year-old man with autosomal dominant DOA whose visual functions remained relatively good and genetic testing was needed for the diagnosis of DOA. …”
Get full text

A Cost-Benefit Analysis of the Installation of an Automatic Incident Detection System in Vilnius by Aldona Jarašūnienė, Marta Novikova

“…A well-functioning transport network is a key element of a successful economy. …”
Get full text

AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…This issue diminishes the efficacy of Machine Learning models used for malware detection. Feature Selection (FS) is an approach commonly used to reduce the number of features in a malware detection dataset to a smaller set of features to facilitate the ease of the Machine Learning process. …”
Get full text

Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter by Jinmo Yang, Ye Jin Jin, R. Young Chul Kim

“…Fall detection is an essential technology for ensuring the safety of elderly individuals, as falling accidents are critical and can cause significant functional damage in old age. …”
Get full text

Distributed partition detection and recovery using UAV in wireless sensor and actor networks by Aditi Zear, VIRENDER RANGA

“…Network connectivity is a vital robustness measure for overall network performance. Different network functions such as routing, scheduling, and QoS provisioning depends on network connectivity. …”
Get full text

Gold nanobiosensors and Machine Learning: Pioneering breakthroughs in precision breast cancer detection by Soheil Sadr, Ashkan Hajjafari, Abbas Rahdar, Sadanand Pandey, Parian Poorjafari Jafroodi, Narges Lotfalizadeh, Mahdi Soroushianfar, Shahla Salimpour Kavasebi, Zelal Kharaba, Sonia Fathi-karkan, Hassan Borji

“…These sensors take advantage of the unique optical and electric properties that gold nanoparticles have, enabling them to achieve an accurate molecular level of detection. Gold nanobiosensors have been significantly developed through innovations like signal amplification and surface functionalization, integrated with the use of advanced imaging techniques. …”
Get full text

YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

“…Further, to cope with severe light attenuation and the dynamic nature of underwater scenes, we introduce specialized loss functions, enabling the reconstruction of underwater environments with realistic appearance and geometric detail even under high turbidity conditions. …”
Get full text