DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Benefiting from continuous innovations in deep learning algorithms, the accuracy of building change detection (BCD) in remote sensing (RS) has significantly improved. …”
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National Land Coalitions and the Preservation of Communities’ Ancestral Land Heritage in Africa by Alain Christian Essimi Biloa, Constanze vonOppeln, Yonas Mekonen

“…The analytical framework is based on three components of the syntax namely the Attribute, aIm, and Condition (AIC). …”
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Predictive Ability of an Objective and Time-Saving Blastocyst Scoring Model on Live Birth by Bing-Xin Ma, Feng Zhou, Guang-Nian Zhao, Lei Jin, Bo Huang

“…<b>Objectives:</b> With the development of artificial intelligence technology in medicine, an intelligent deep learning-based embryo scoring system (iDAScore) has been developed on full-time lapse sequences of embryos. …”
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Advanced beamforming and reflection control in intelligent reflecting surfaces with integrated channel estimation by Sakhshra Monga, Anmol Rattan Singh, Nitin Saluja, Chander Prabha, Shivani Malhotra, Asif Karim, Md. Mehedi Hassan

“…Simulation results show that implicit channel estimation method requires fewer pilots than standard approaches, effectively learns to optimise sum rate or minimum‐rate targets, and generalises well. …”
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Synchronising English second language proficiency and mathematical understanding through plurilingualism in correctional centre classrooms: Empirical perspectives by Siphelele Mbatha, Xolani Khohliso, Sboniso Zondi, Nompumelelo Nzimande

“…The study was underpinned by the Socio-Cultural Learning theoretical stance. Amongst our findings is that L2 proficiency correlates positively with adult offenders’ mathematics understanding. …”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…Addressing the issues of low accuracy, high cost, and the risk of plant damage associated with traditional manual measurement methods, this study proposes a non-contact measurement method combining deep learning and geometric analysis to achieve precise measurement of sunflower flower head tilt angles. …”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…In view of the weak edge nature of oceanic fronts and the misdetection or missed detection of oceanic fronts by some deep learning methods, this paper proposes an oceanic front detection method based on the U-Net model that integrates Edge-Attention-Module and the Feature Pyramid Network Module (FPN-Module). …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…Detailed comparative analyses were conducted for single and combined-noise models against current state-of-the-art Deep learning (DL) methods. It exhibited an increase in the SI-SDR metric in the presence of APGN, by 17% and 24% for single and combined-noise models, respectively. …”
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Content Analysis and Criticism of the Pivotal Issues of the New History Textbook for 9th graders of the Turkish education system by Alireza Soleymanzadeh

“…The aim of the research is to provide a clear picture of the state of history textbooks or history teaching in Turkish schools.The results of the research indicate that in today's Turkey, besides to the idea of ​​transferring past knowledge to the present generation, the teaching of historical thinking and problem-solving skills has replaced the previous methods. As a result of such a method, the correct learning of history relies on two basic factors, namely " the design of the teacher's narrative " and "a good educational textbooks". …”
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Identifying the Dimensions and Components of a Gamification Model in the Marketing Processes for Sharing Economy Transportation Businesses by Somaye Moradi, Maysam Shafiee

“…The sample size was determined based on theoretical saturation. Content validity was ensured through content validity method, and member checking was employed for reliability. …”
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The request for assisted suicide – a challenging topic to teach in medical education. Project report on a compulsory elective course at the Aachen University Hospital by Scherg, Alexandra, Wegmann, Miriam, Biersching, Thekla, Fink, Daniel, Lemos, Martin, Elsner, Frank

“…Method: The course was initially offered to 15 students in a classroom-based format and entailed 120 minutes during which an introductory lecture and an interactive conversation with a simulated patient were held. …”
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Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen shoulder by Han-tao Jiang, Li-ping Shen, Meng-Qi Pang, Min-jiao Wu, Jiang Li, Wei-jie Gong, Gang Jin, Rang-teng Zhu

“…The nomogram constructed based on them had a good predictive value for the occurrence of FS. …”
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Blindfolded Flight: A Novel Approach for Secure Drone Flight by Kazumasa Oida, Tomoya Korezawa, Taiki Yamada, Sojiro Eto

“…The prediction of the current position is based on deep learning rather than motion equations. …”
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Ultrasonic radiomics in predicting pathologic type for thyroid cancer: a preliminary study using radiomics features for predicting medullary thyroid carcinoma by Dai Zhang, Dai Zhang, Dai Zhang, Dai Zhang, Fan Yang, Fan Yang, Fan Yang, Fan Yang, Wenjing Hou, Wenjing Hou, Wenjing Hou, Wenjing Hou, Ying Wang, Ying Wang, Ying Wang, Ying Wang, Jiali Mu, Jiali Mu, Jiali Mu, Jiali Mu, Hailing Wang, Hailing Wang, Hailing Wang, Hailing Wang, Xi Wei, Xi Wei, Xi Wei, Xi Wei

“…We constructed clinical model, radiomics model and comprehensive model by executing machine learning algorithms based on baseline clinical, pathological characteristics and ultrasound image data, respectively.ResultsThe study showed that the comprehensive model observed the highest diagnostic efficacy in differentiating MTC from PTC with AUC, sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 0.93, 0.88, 0.82, 0.77, 0.91, 85.8%. …”
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Enhancing maize above-ground biomass estimation through multispectral, digital and LiDAR fusion on UAV platforms by Ziheng Feng, Zheqing Yang, Liunan Suo, Ke Wu, Zhiyao Ma, Haiyan Zhang, Jianzhao Duan, Wei Feng

“…Existing vegetation index (VI)-based maize AGB estimation methods using unmanned aerial platforms show limited generalizability due to insufficient integration of environmental and management factors. …”
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Exposure to hate in online and traditional media: A systematic review and meta‐analysis of the impact of this exposure on individuals and communities by Pablo Madriaza, Ghayda Hassan, Sébastien Brouillette‐Alarie, Aoudou Njingouo Mounchingam, Loïc Durocher‐Corfa, Eugene Borokhovski, David Pickup, Sabrina Paillé

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Antecedents and consequences affecting job plateau among school employees in Tehran by Nafiseh Ghasemi Zargar, parivash jafari, Nadergholi Ghourchian, AmirHossein Mohammaddavoudi

“…Also, job plateauing was related to other variables, including age, gender, job history, race, and role ambiguity.Based on the research results, the following suggestions are presented:1- Considering the importance of education and awareness, school administrators should set up workshops according to the needs and methods of the day based on the development of employees and put targeted and continuous training programs in the executive agenda of their organization.2- Paying attention, recognizing and appreciating the small and big successes of employees will have a positive effect on the work process ahead of them. …”
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Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging by Jiaqi Lin, Qianhan Zheng, Yongjia Wu, Mengqi Zhou, Jiahao Chen, Xiaozhe Wang, Ting Kang, Weifang Zhang, Xuepeng Chen

“…Method This study retrospectively analyzed CBCT scans of 108 orthodontic patients to assess OIRR using deep learning-based tooth segmentation and volumetric analysis. …”
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Incremental diagnostic value of coronary computed tomography angiography derived fractional flow reserve to detect ischemia by Isabelle Ried, Insa Krinke, Rafael Adolf, Markus Krönke, Seyed Mahdi Moosavi, Eva Hendrich, Albrecht Will, Keno Bressem, Martin Hadamitzky

“…Endpoint was ischemia on a coronary vessel level assessed by CMR (n = 20), SPECT (n = 225), invasive angiography (stenosis ≥ 90%; n = 80) or invasive FFR (positive if ≤ 0.8; n = 96). CT-FFR was derived from CCTA images by a machine learning (ML) based software prototype. …”
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OS-RFODG: Open-source ROS2 framework for outdoor UAV dataset generation by Imen Jarraya, Mohamed Abdelkader, Khaled Gabr, Muhammad Bilal Kadri, Fatimah Alahmed, Wadii Boulila, Anis Koubaa

“…These datasets support the benchmarking of various localization methods, including learning-based models and sensor fusion techniques. …”
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