Reconstructing the 1882 Historical Urban Landscape of Kayseri Based on a Historical Map Translation by Methiye Gül Çöteli

“…The results show the city of Kayseri to be beyond the spatial organization and development trends of other Anatolian cities.…”
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‘Do they care?’: a qualitative examination of patient perspectives on primary care clinician communication related to opioids in the USA by Leif I Solberg, Katrina M Romagnoli, Anthony W Olson, Andrei Bucaloiu, Clayton I Allen, Lorraine D Tusing, Hillary A Henzler-Buckingham, Christina M Gregor, Laura A Freitag, Stephanie A Hooker, Rebecca C Rossom, Eric A Wright, Irina V Haller

“…Objectives This substudy’s objectives were to (1) examine the transferability of a four archetype framework (simplified pattern of prototypical features) for patients at high risk for opioid use disorder (OUD) developed from a previous study with a similar population; (2) explore how patient preferences for terminology can inform clinician communication strategies for patients with OUD across archetypes and (3) explore how patient perceptions of opioid risks can inform clinician communication strategies across patient archetypes.Design This qualitative study collected data via semistructured phone interviews with patients about views on opioid-related discussions with primary care clinicians. …”
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Optimizing Public Spaces for Age-Friendly Living: Renovation Strategies for 1980s Residential Communities in Hangzhou, China by Min Gong, Ning Wang, Yubei Chu, Yiyao Wu, Jiadi Huang, Jing Wu

“…Semi-structured interviews with elderly residents identify key concerns and establish a preliminary evaluation framework, while a Likert-scale questionnaire quantifies the satisfaction with age-friendly features across four communities. The assessment reveals that key age-friendliness issues, including poor traffic safety, dispersed activity spaces, and insufficiently adapted facilities, are closely linked to the linear usage patterns within the spatial framework of the grid layouts. …”
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Successful local treatment for repeated hepatic recurrences of cholangiolocellular carcinoma: a report on a long-term survivor by Kentaro Shinohara, Tomoki Ebata, Yukihiro Yokoyama, Tsuyoshi Igami, Gen Sugawara, Takashi Mizuno, Junpei Yamaguchi, Yoshie Shimoyama, Shuichiro Shiina, Ryosuke Tateishi, Toru Arano, Masato Nagino

“…These findings were in accordance with the typical features of CoCC, revising his final diagnosis from ICC to CoCC. …”
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Spatiotemporal Decoupling Between Intensive Policy Interventions and Natural Gradual Recovery in Human–Land Systems During Transition Periods: A Remote Sensing Analysis by Xiao Xie, Chunxiao Zhang, Haojie Kang, Chao E, Jingzhong Li, Wanxia Ren

“…Addressing the ecological vulnerability and challenges of degradation-restoration dynamics in transitional human–earth systems represented by the Kubuqi Desert region, this study leverages the advantages of multisource remote sensing imagery in multifactor, annual cyclical, long-term, and spatially heterogeneous complex surface feature analysis. By integrating discrete pixel characteristics with continuous change processes in landscape pattern dynamics, we developed a remote sensing ecological index cube framework. …”
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Detection and Localization of Stationary Waves on Venus Using a Self‐Supervised Anomaly Detection Model by Husnu Baris Baydargil, Jose Eduardo Oliveira Silva, Yeon Joo Lee, Meeyoung Cha

“…To address this, we propose a self‐supervised anomaly detection model based on a vector‐quantized generative adversarial network to identify and localize stationary atmospheric waves in spacecraft images of Venus. Our model is developed over Akatsuki images of Venus and is trained on smaller cropped images containing features other than stationary waves, allowing it to learn the underlying patterns of normal cloud features. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The proposed models significantly improve the ability to recognize complex patterns and features, achieving high accuracy and robust performance in disease classification. …”
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Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

“…A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. …”
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Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats by Cezary BARTMAŃSKI, Alicja BRAMORSKA

“…A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. …”
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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…The core technology involves deep learning algorithms, particularly Convolutional Neural Networks (CNNs), which are designed to identify complex patterns and features within retinal images. These algorithms are trained on extensive datasets of retinal images, allowing them to learn the subtle signs of diabetic retinopathy, such as microaneurysms, hemorrhages, and other vascular anomalies.…”
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Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network by Xiaotong Wei, Ronglong Xiong, Ping Xu, Tingting Zhang, Junjun Zhang, Zhenlan Jin, Ling Li

“…Significant differences between two subtypes were found in clinical cognition and biomarkers, cerebral atrophy patterns, and enriched genes for metal ion transport and neuron projection development. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

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Extraction of <i>Suaeda salsa</i> from UAV Imagery Assisted by Adaptive Capture of Contextual Information by Ning Gao, Xinyuan Du, Min Yang, Xingtao Zhao, Erding Gao, Yixin Yang

“…The model accurately delineates fine-grained spatial distribution patterns of <i>Suaeda salsa</i>, outperforming existing approaches in capturing ecologically critical structural details.…”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…Potassium (K), a critical macronutrient for the growth and development of Korla fragrant pear (Pyrus sinkiangensis Yu), plays a pivotal regulatory role in sugar-acid metabolism. …”
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Epigenetic dynamics of partially methylated domains in human placenta and trophoblast stem cells by Hidehiro Toh, Hiroaki Okae, Kenjiro Shirane, Tetsuya Sato, Hirotaka Hamada, Chie Kikutake, Daisuke Saito, Takahiro Arima, Hiroyuki Sasaki, Mikita Suyama

“…Conclusions Our findings suggest that spatiotemporal genomic features shape megabase-scale DNA methylation patterns, including PMDs, in the human placenta and highlight distinct differences in PMDs between human cytotrophoblasts and trophoblast stem cells. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study used pen tablet and fNIRs device to compare writing dynamics and brain activity between ADHD with coexisting ASD and typically developing (TD) children during handwriting patterns. …”
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Hydroformer: Frequency Domain Enhanced Multi‐Attention Transformer for Monthly Lake Level Reconstruction With Low Data Input Requirements by Minglei Hou, Jiahua Wei, Yang Shi, Shengling Hou, Wenqian Zhang, Jiaqi Xu, Yue Wu, He Wang

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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Dynamic environmental factors, such as crop growth, changing weather patterns, and livestock movement, increase system uncertainty. …”
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Adaptation to Soil Conditions of in vitro Regenerated Birch Lines Selected for Salinity Resistance by Olga S. Mashkina, Tat’yana M. Tabatskaya

“…The survival rate, growth and development of plants have been evaluated depending on age, substrate composition and adaptation patterns. …”
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Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…For melanonychia, relevant AI models typically identify disease patterns through segmentation and/or classification approaches. …”
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