Bevacizumab in Platinum-Sensitive Recurrent Epithelial Ovarian Cancer: A Risk-Stratified Analysis by İrem Öner, Pınar Karaçin

“…In this respect, our study aims to contribute to developing more personalized treatment strategies for specific patient subgroups.…”
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The evolutionary history of Plasmodium falciparum from mitochondrial and apicoplast genomes of China-Myanmar border isolates by Yini Tian, Run Ye, Dongmei Zhang, Yilong Zhang

“…Additionally, by mapping global patterns of mt/apico genome polymorphism, we will gain valuable insights into the evolutionary history of P. falciparum and optimised strategies for controlling P. falciparum malaria at international borders. …”
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CPS-IIoT-P2Attention: Explainable Privacy-Preserving With Scaled Dot-Product Attention in Cyber-Physical System-Industrial IoT Network by Yakub Kayode Saheed, Joshua Ebere Chukwuere

“…These mechanisms adaptively modify their emphasis to prioritize crucial features within the CPS-IIoT network traffic data, providing additional computational resources to data segments that are likely to include abnormalities and patterns that indicate security issues. …”
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Epidemiological and clinical analysis, and outcomes of tuberculosis co-infection among people living with HIV in Türkiye (2014-2024) ClinSurv HIV cohort: A large case series. by Ali Mert, Okan Derin, Esra Zerdali, Abdurrahman Kaya, Özlem Gül, Deniz Borcak, Ahmet Furkan Kurt, Meliha Meriç Koç, Bircan Kayaaslan, Ayşe Batırel, Alper Gündüz, İnci Yılmaz Nakir, Gülşen Yörük, Dilek Yıldız Sevgi, Hayat Kumbasar Karaosmanoğlu, Bilgül Mete, Melike Nur Özçelik, Nagehan D Sarı, Yasemin Akkoyunlu, Fehmi Tabak

“…In patients who underwent chest CT scans (n=200), radiological patterns revealed post primary TB in 46%, primary TB in 36%, and miliary TB in 18%. …”
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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

“…Moreover, microbiome compositions are heavily context dependent, with characteristics of the host and the abiotic environment leading to distinct patterns in host-microbiome associations. Consequently, off-the-shelf generative modeling has not been successfully applied to microbiomes.To address these challenges, we develop a generative model for host-associated microbiomes derived from the consumer/resource (C/R) framework. …”
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The Spatiotemporal Organizational Order of Living Circle Units Based on the Law of Walking Time-Distance Distributions by Jianming Zhang, Jun Cai, Xinhai Zhang, Wansong Zhang

“…Additionally, an ideal layout pattern for living circle units was proposed, featuring a “snowflake-shaped” facility layout and a “twice-speed” transfer method. …”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…The increasing complexity of malware poses significant challenges in cybersecurity due to the inability of existing methods to understand detailed and contextual relationships in modern software behavior. Therefore, developing innovative detection frameworks that can effectively analyze and interpret these complex patterns has become critical. …”
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…Furthermore, the ResNet50 model is employed for feature extraction to capture complex spatial patterns in visual data. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…Escalating temperature, polar ice melting, global sea level rise, and shifting weather patterns, all stem from climate change. One of the pathways towards achieving sustainable development involves the advancement of the agricultural sector, a vital economic segment. …”
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General regression and representation model for classification. by Jianjun Qian, Jian Yang, Yong Xu

“…SRC and CRC) show a great potential for pattern classification. However, most existing coding methods assume that the representation residuals are uncorrelated. …”
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Mechanistic computational modeling of sFLT1 secretion dynamics. by Amy Gill, Karina Kinghorn, Victoria L Bautch, Feilim Mac Gabhann

“…In doing so, sFLT1 plays an important role in vascular development and in the patterning of new blood vessels in angiogenesis. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

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Improved YOLOv8-Based Method for the Carapace Keypoint Detection and Size Measurement of Chinese Mitten Crabs by Ke Chen, Zhuquan Chen, Changbo Wang, Zhifan Zhou, Maohua Xiao, Hong Zhu, Dongfang Li, Weimin Liu

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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…The recent emergence of deep learning methods, particularly convolutional neural networks (CNNs), applied to fMRI data presents a promising avenue in psychiatry research, offering advantages over traditional analyses by requiring minimal assumptions and enabling detection of higher-level patterns and intricate, nonlinear relationships within inherently complex fMRI data. …”
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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

“…However, dense planting patterns and complex environments within greenhouses present challenges for accurately detecting growth stages. …”
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Energy absorption and mechanical performance of kenaf yarn/fibreglass mesh/acrylonitrile butadiene styrene composites: Influence of mesh density by Mohamad Yusuf Salim, Muhamad Fauzi Muhammad Fitri, Muhammad Asyraf Muhammad Rizal, Rushdan Ahmad Ilyas, Mohd Haziq Dzulkifli, Shukur Abu Hassan, Abu Bakar Mohd Supian, Muhammad Rizal Razman

“…The stacking sequence for the kenaf/fibreglass mesh/ABS composites followed a GKKGKKG pattern. Three different fibreglass mesh densities were tested: 1 mm2 (KGFM-1/fine), 3 mm2 (KGFM-3/medium), and 5 mm2 (KGFM-5/coarse), with results compared to kenaf/ABS composites (control sample). …”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…We extracted 94 physiological features across 6MWT phases (baseline, walking, recovery) and clinical variables, developing predictive models using five machine learning algorithms evaluated through rigorous five-fold cross-validation. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…Even though consumption-based models have been applied extensively to the detection of power theft, it can be difficult to reliably identify theft instances based only on patterns of usage. In this paper, a novel rule-based combined machine learning (rML) technique is developed for power theft detection to address the drawbacks of systems that rely just on consumption patterns. …”
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Leishmania donovani Induced Cutaneous Leishmaniasis: An Insight into Atypical Clinical Variants in Sri Lanka by Yamuna Siriwardana, Bhagya Deepachandi, Chalukya Gunasekara, Wipula Warnasooriya, Nadira D. Karunaweera

“…Patients in other regions when travelled to North developed more ACL than when they travelled to South (60.9%, 42.9%). …”
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Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Additionally, the study generated field-scale CGI spatiotemporal distribution maps, revealing the temporal and spatial variation patterns of crop growth. In summary, this study provides an efficient method for monitoring the growth of drip-irrigated spring maize in Northwest China, offering valuable guidance for precision agriculture management and sustainable development.…”
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