Smooth Guided Adversarial Fully Test-Time Adaptation by Dong Li, Panfei Yang

“…Fully test-time adaptation (FTTA) refers to a specific type of domain adaptation that involves adjusting a pre-trained machine learning model to work with a new target domain, without accessing any data from the source domain. The lack of access to source data makes it more difficult to adjust to the target domain. …”
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Study on Performance of Coordinated Ventilation Strategies during T-Shaped Subway Station Hall Fire by Yanan Hou, Wei Ding, Zhengbo Hou, Xingcheng Li, Ling Li, Zhihao Yang, Congling Shi

“…For fires on the ‘T’s horizontal side, lateral airflow from longitudinal fans can effectively disrupt smoke spreading, with coordinated extraction strategies outperforming the traditional methods. However, for fires on the ‘T’s longitudinal side, horizontal fans are ineffective in controlling smoke flow, making the traditional fire shutter closure optimal. …”
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Linking Electrocardiogram and Echocardiogram: Comparing Classical Machine Learning and Deep Learning Neural Networks for the Detection of Regional Wall Motion Abnormalities by Shantanu M. Joshi, Hana R. Shaik, Shivam Rai Sharma, Philip Strong, Uma Srivatsa, Imo Ebong, Hyoyoung Jeong, Chen-Nee Chuah, Lihong Mo

“…Nightingale Open Science provides an open-source ECG dataset linking to an imaging marker, regional wall motion abnormality (RWMA), that is primarily associated with myocardial ischemia or infarction. …”
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Research on the promotion of clinical practice guidelines implementation (V): evalua-tion of clinical guidelines implementation and expert consensus on Traditional Chinese Medicine... by Hong-Yan LI, Xiu-Qing SHI, Jing GUO, Rong ZHANG, Jie ZHOU, Ying-Hui JIN, Hong-Cai SHANG

“…Incorporating implementation science into the guideline formulation process, managing and guiding formulation from the source, and optimizing the presentation and dis-semination strategies of the guidelines can promote the implementation of guidelines/consensus appli-cation.…”
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Multi-agent based DRL with federated learning for data transmission in mobile sensor networks by M. Senthamilselvi, C. Ranjeeth Kumar

“…A plethora of routing options have been suggested to tackle this problem. The proposed method distributed and designed to run on a network of interconnected routers. …”
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From plant biomass to biofuels and bio-based chemicals with microbial cell factories by Maša VODOVNIK, Matevž ZLATNAR

“…Waste plant biomass represent abundant source of renewable energy that can be transformed to biofuels and other value-added products, which is currently limited due to the lack of cost-effective biocatalysts. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…This Special Issue on “Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data” presents innovative strategies leveraging remote sensing technologies, artificial intelligence (AI), and non-destructive testing (NDT) to optimize road infrastructure assessment. The ten papers published in this issue explore diverse methodologies, including novel deep learning algorithms for road inventory, novel methods for pavement crack detection, AI-enhanced ground-penetrating radar (GPR) imaging for subsurface assessment, high-resolution optical satellite imagery for unpaved road assessment, and aerial orthophotography for road mapping. …”
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IP-Enabled C/C++ Based High Level Synthesis: A Step towards Better Designer Productivity and Design Performance by Sharad Sinha, Thambipillai Srikanthan

“…We discuss our proposed methodology in the context of supporting efficient hardware synthesis of a class of mathematical functions without altering original C/C++ source code. Additionally, we also discuss and propose methods to integrate legacy IP cores in existing HLS flows. …”
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Psycho-Theological Learning Model to Improve Mental Resilience in Muslim Adolescents by Muhammad Zamzam, Winsidi Winsidi

“…The research utilized a qualitative approach with a phenomenological design to explore the lived experiences of Muslim adolescents undergoing such learning. Data were sourced from purposively selected teachers and students actively engaged in faith-based character education programs. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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KNOWLEDGE AND ATTITUDES TOWARDS COVID- 19 AMONG THE ROMA COMMUNITY IN BULGARIA by V. Rangelova, A. Kevorkyan, K. Krasimirova, P. Stoyanova, E. Mitkov, M. Aleksandrova

“…Conclusion: Adherence to basic preventive measures is not optimal, including vaccination, and this necessitates the need for field meetings, trust building and communication techniques to inform the community.…”
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Sealing mechanisms and enrichment patterns of deep coalbed methane: insights from the Jiaxian block, Ordos Basin by Qifan Zhang, Peijie Li, Dameng Liu, Yanbin Yao, Yidong Cai, Yilin Guo, Zefan Wang

“…And it addresses these gaps by integrating experimental methods, advanced 3D seismic attribute analysis, and multi-source data fusion to construct a comprehensive model for evaluating roof and floor sealing capacity. …”
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Ensemble programme for early intervention in informal caregivers of psychiatric adult patients: a protocol for a randomised controlled trial by Daniel Wenger, Shyhrete Rexhaj, Shadya Monteiro, Philippe Golay, Claire Coloni-Terrapon, Jérôme Favrod

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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…Evolutionary algorithms offer a powerful solution for achieving optimal KFE. This proposed method leverages an interactive GA with a well-designed Fitness Function and elitism-based survivor selection to enhance performance. …”
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Map‐matching for cycling travel data in urban area by Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn

“…The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.…”
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Test accuracy of loop-mediated isothermal amplification for schistosomiasis in low endemicity areas: a systematic review and meta-analysis by Xinjie Zhou, Jiajia Li, Jiayin Qiu, Ting Feng, Chao Lv, Wangping Deng, Robert Bergquist, Jing Xu, Shizhu Li, Zhiqiang Qin

“…Subgroup analyses and univariable meta-regression were performed to explore the source of heterogeneity. Specifically, subgroup analyses were performed by categorizing into species (S. japonicum, S. mansoni, S. haematobium), sample type (stool, urine, serum, snails), and DNA extraction methods to explore factors influencing test performance. …”
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Feasibility of a Sustainable On-Site Paper Recycling Process by Karl Jakob Levin, David dos Santos Costa, Lii Urb, Anna-Liisa Peikolainen, Tanel Venderström, Tarmo Tamm

“…Several EU initiatives and directives emphasize waste reduction and immediate reuse at the source. This study introduces a novel on-site recycling method for transforming printing house paper waste into high-quality, eco-friendly cardboard without mixing it with lower-quality or heterogeneous waste streams. …”
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Factors affecting the design of the management dashboard framework with an emphasis on the components of human resources productivity by Hassan Barmaki, Farshad Faezy Razi, Ehtesham Rashidi

“…AbstractThe purpose of this research is the effective factors on the design of the management dashboard framework with an emphasis on the components of human resources productivity. The research method is applicable in terms of purpose, qualitative in terms of execution method, and cross-sectional survey in terms of nature. …”
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Does the Timing of the Initiation of Physical Therapy Post‐Rotator Cuff Repair Impact Shoulder Function? by Reivian Berrios Barillas, James Irrgang

“…Payor source may have influenced the number of PT visits (R2 = 0.060, p < 0.001). …”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…Finally, the equation parameter and the optimal sample division scheme are obtained with the PM algorithm-based interval linear regression method, and the harmonic responsibility in the medium and long term time scope is calculated on the basis of the constructed interval harmonic responsibility division. …”
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