Anti-Tetanus Vaccination Is Associated with Reduced Occurrence and Slower Progression of Parkinson’s Disease—A Retrospective Study by Ariel Israel, Eli Magen, Eytan Ruppin, Eugene Merzon, Shlomo Vinker, Nir Giladi

“…<b>Results:</b> Our analysis revealed a significant reduction in PD occurrence following tetanus–diphtheria (Td) vaccination, with an adjusted odds ratio of 0.17 (95% CI [0.04, 0.70]) for PD onset within 5 years post-vaccination. …”
Get full text

Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…Applying the random forest method to classify predictions of adaptive responses based on climatic variables showed that all thermoregulatory, hormonal, biochemical, and hematological responses are important, except for urea and T₃ concentrations, which had negative importance values. …”
Get full text

Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods by Longlin Jiang, Kexun Li, Simiao Lu, Zhou Hong, Yifang Wang, Qin Xie, Qin He, Sirui Wei, Aoru Zhou, Hong Kang, Xuefeng Leng, Qing Yang, Yan Miao

“…Conclusions This study developed an optimized mapping algorithm to predict the utility index from the QLQ-C30 QLQ-LC13 to the SF-6D. …”
Get full text

A comparative study of bone density in elderly people measured with AI and QCT by Min Guo, Min Guo, Yu Zhang, Yu Zhang, XinXin Gu, XinXin Gu, Xuhui Liu, Xuhui Liu, Fei Peng, Fei Peng, Zongjun Zhang, Zongjun Zhang, Mei Jing, Mei Jing, Yingxia Fu, Yingxia Fu

“…The linear regression fit between the R2 values of QCT and Bone Density AI for measuring lumbar spine BMD with different equipment ranged from 0.88 to 0.96, indicating a high degree of consistency between the two measurement methods across devices.ConclusionThis multicenter study pioneers a dual-validation framework to establish the clinical validity of deep learning-based BMD prediction algorithms using routine thoracic/abdominal CT scans. …”
Get full text

Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress by Juliette Humeau, Allan Sauvat, Giulia Cerrato, Wei Xie, Friedemann Loos, Francesca Iannantuoni, Lucillia Bezu, Sarah Lévesque, Juliette Paillet, Jonathan Pol, Marion Leduc, Laurence Zitvogel, Hugues de Thé, Oliver Kepp, Guido Kroemer

“…Certain chemotherapeutics from the oncological armamentarium are able to trigger pre‐mortem stress signals that lead to immunogenic cell death (ICD), thus inducing an antitumor immune response and mediating long‐term tumor growth reduction. Here, we used an established model, built on artificial intelligence to identify, among a library of 50,000 compounds, anticancer agents that, based on their molecular descriptors, were predicted to induce ICD. …”
Get full text

Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Ultimately, the model’s robustness was validated by generating adversarial samples using the I-FGSM algorithm and optimizing model performance through adversarial training. …”
Get full text

Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks by Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangares, Zaid Alaa Hussien, Husam A. Neamah

“…Our scheme integrates chaotic-based public key cryptosystems, a Light Encryption Device (LED) with a 3-D Lorenz chaotic map algorithm, and blockchain-based fog computing technologies to enhance both efficiency and scalability. …”
Get full text

Anthropometric changes and risk of diabetes: are there sex differences? A longitudinal study of Alberta’s Tomorrow Project by Ming Ye, Paula J Robson, Dean T Eurich, Jennifer E Vena, Jian-Yi Xu, Jeffrey A Johnson

“…Diabetes cases were identified using the Canadian National Diabetes Surveillance System algorithm with administrative healthcare data (2000–2015) linked to the ATP cohort. …”
Get full text

Hybrid geometry optimization to mitigate maximum temperature gradient in solid oxide fuel cells without lowering the net output performance by Hongkun Li, Tongyu Dai, Tiantian Hu, Weiqun Liu, Qiao Zhu, Dawei Dong

“…., output power density) is also substantially suppressed due to the temperature reduction. Thus, maintaining the output power in SOFCs when optimizing the temperature distribution has been deemed as a challenging task. …”
Get full text

Drought Amplifies the Suppressive Effect of Afforestation on Net Primary Productivity in Semi-Arid Ecosystems: A Case Study of the Yellow River Basin by Futao Wang, Ziqi Zhang, Mingxuan Du, Jianzhong Lu, Xiaoling Chen

“…Among drought events identified using a three-dimensional clustering algorithm, high-intensity droughts caused an average NPP loss of 23.2 gC·m⁻² across the basin. …”
Get full text

Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These advancements result in significant reduction in off-chip data transfer, memory savings, and faster processing times. …”
Get full text

Modifiable factors and 10-year and lifetime cardiovascular disease risk in adults with new-onset hypertension: insights from the Kailuan cohort by Shouling Wu, Yanxiu Wang, Jiangshui Wang, Jun Feng, Furong Li, Liming Lin, Chunyu Ruan, Zhifang Nie, Jinwei Tian, Cheng Jin

“…Eight modifiable factors were assessed using the American Heart Association’s Life’s Essential 8 algorithm. We followed participants for incident CVD until December 2020, estimating 10-year and lifetime (age 25–95) CVD risks using the Fine-Gray competing risks model. …”
Get full text

Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.Results Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. …”
Get full text

Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Using the Deep Q-Network (DQN) algorithm, the system identifies optimal defensive strategies through multidimensional data interactions. …”
Get full text

Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

“…Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.…”
Get full text

Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…A Hybrid Policy Derivation Algorithm is introduced to balance encryption complexity and computational overhead by dynamically switching between these learning models. …”
Get full text

Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…The result reveals a 16.44% reduction in pitch natural frequency compared to the V-shaped floater. …”
Get full text

Assimilating multi-site eddy-covariance data to calibrate the wetland CH₄ emission module in a terrestrial ecosystem model by J. T. Kallingal, M. Scholze, P. A. Miller, J. Lindström, J. Rinne, M. Aurela, P. Vestin, P. Weslien

“…<p>In this study, we use a data assimilation framework based on the adaptive Markov chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS model using <span class="inline-formula">CH₄</span> eddy-covariance flux observations from 14 different natural boreal, temperate, and arctic wetlands. …”
Get full text

Obstetrical and perinatal pathology in women with risk of preterm labor by A. A. Shevchenko

“…The effectiveness of the premature birth risk treatment of the main group patients shows not only the improvement of this complication clinical symptoms and satisfactory functional state of feto-placental complex, but also reduction the percentage of early preterm birth, and as a consequence, decrease in severe perinatal morbidity. …”
Get full text

Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions by Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

“…Using the LS-DYNA software’s fluid–solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. …”
Get full text