Impact of phytochemical-based hydrocolloid dressings on wound healing: A comparative review by Sipho Sibanda, Mapula Razwinani, Keolebogile Shirley Motaung

“…The recent introduction of phytochemical-based dressings to expedite wound healing uses a multi-targeted approach including antimicrobial, anti-inflammatory and antioxidant activity. …”
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Triple (and quadruple) soft-gluon radiation in QCD hard scattering by Stefano Catani, Dimitri Colferai, Alessandro Torrini

“…Abstract We consider the radiation of three soft gluons in a generic process for multi- parton hard scattering in QCD. In the soft limit the corresponding scattering amplitude has a singular behaviour that is factorized and controlled by a colorful soft current. …”
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Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…We then apply transfer learning to extract both features from a depression dataset, followed by fusion. A multi-domain adaptation algorithm trains the MoE model for depression recognition. …”
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Negative effects of humor in marketing communications by Baltezarević Ivana, Baltezarević Radoslav

“…Humor is an essential component of human psyche. Smart businesses recognize the value of incorporating humor into their marketing communications. …”
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Extra-Hepatic Portal Venous Obstruction in Pregnant Women of South-Asian Descent: A Case Series by Nimmi Amala, Akshaya Murali, Annamma Thomas

“…All five women and their neonates were discharged in good health. Multi-disciplinary approach with standardized antenatal care can give positive pregnancy outcomes in women with EHPVO. …”
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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…In this paper, visual information is added to the locomotion control problem of humanoid robot, and a three-stage multi-objective constraint policy distillation optimization algorithm is innovantly proposed. …”
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Establishment of Sensory Evaluation Method for Wolfberry Tea and Exploration of the Main Characteristic Aroma Substances by Yuanchao LI, Qinji LI, Yuqiong GUO, Zhilong HAO, Shan JIN

“…To establish the sensory evaluation method for wolfberry tea made from wolfberry buds and leaves, sensory evaluation experiments were designed with multi-variables, including brewing time and tea amount, by using two brewing methods with covered bowl and column cup, respectively. …”
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Discovering Large-scale Structure at 2 < z < 5 in the C3VO Survey by Denise Hung, Brian C. Lemaux, Olga Cucciati, Ben Forrest, Ekta A. Shah, Roy R. Gal, Finn Giddings, Derek Sikorski, Emmet Golden-Marx, Lori M. Lubin, Nimish Hathi, Giovanni Zamorani, Lu Shen, Sandro Bardelli, Letizia P. Cassarà, Gabriella De Lucia, Fabio Fontanot, Bianca Garilli, Lucia Guaita, Michaela Monika Hirschmann, Kyoung-Soo Lee, Andrew B. Newman, Vandana Ramakrishnan, Daniela Vergani, Lizhi Xie, Elena Zucca

“…The Charting Cluster Construction with VUDS and ORELSE (C3VO) survey is an ongoing imaging and spectroscopic campaign aiming to map out the growth of structure up to z  ∼ 5 and was born from the combination of the Visible Multi-Object Spectrograph Ultra Deep Survey and the Observations of Redshift Evolution in Large-Scale Environments (ORELSE) survey. …”
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New biomarkers for diagnosis of bladder cancer: a bibliometric analysis by Roberto Falabella, Valentina De Simone, Felice Crocetto, Francesco Del Giudice, Angelo Porreca, Nazario Foschi, Biagio Barone, Luca Di Gianfrancesco, Valentina Di Pasquale, Vincenzo Francesco Caputo

“…While some countries, such as Egypt and India, published exclusively Single Country Publications (SCPs), others demonstrated a higher level of international collaboration, with at least half of their publications being Multi-Country Publications (MCPs). Countries with higher rates of MCPs were Greece (66.6%), Italy (53.8%), Korea, and France (50%). …”
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Drivers and mechanisms contributing to excess warming in Europe during recent decades by Buwen Dong, Rowan T. Sutton

“…The CMIP6 models simulate well the magnitude of the thermodynamic component of excess European warming since 1979 in both winter and summer, they suggest only a weak dynamical contribution in the multi-model mean. The models suggest greenhouse gas-induced warming made the largest contribution to excess thermodynamic warming in winter, whereas changes in anthropogenic aerosols made the largest contribution in summer. …”
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ADVERTISEMENT AND CONSUMERS’ PATRONAGE: EVIDENCE FROM TABLE WATER BRANDS IN OSUN STATE, NIGERIA by Kayode Muhammed IBRAHIM, Oluseyi AJAYI, Akintunde Aremu AKINTAYO, Dolapo Stephen Akinwumi

“…The research recommends that producers should ensure they employ multi-level advertising strategies, especially outdoor and radio advertising if customer patronage is to be improved. …”
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Single stage auction clearing model for electricity market considering congestion by R.R. Lekshmi, S. Balamurugan

“…The solutions proposed in congestion management market and fixation of prices while exploiting the power of optimizing models, involve multi-stage approach deploying market clearance, power flow and congestion evaluation, and redispatch through pricing. …”
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AI-based approaches for improving autonomous mobile robot localization in indoor environments: A comprehensive review by Shoude Wang, Nur Syazreen Ahmad

“…We systematically categorize and critically analyze existing research on Simultaneous Localization and Mapping (SLAM)-based methods, odometry-based approaches, and multi-sensor fusion techniques, elucidating the principles and implementations of various AI methodologies. …”
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The identification and management of production-living-ecological space from the perspective of land system science: Connection logic and realization path by JI Zhengxin, XU Yueqing, SUN Danfeng, LUN Fei, SUN Qiangqiang, JIAO Xin, CHEN Lu

“…Based on ontological consistency, goal alignment, process relevance, and effect reciprocity, this paper summarizes, this paper summarizes the multi-dimensional interconnected relationship between land system science and the identification and management of PLES, attempts to construct a logical mechanism centered on the land system states between them, sequentially proposes the key solution paths for land system science to support the identification and management of PLES in terms of theoretical foundation, technical channels and practical vision. …”
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Spatiotemporal distribution of rural multifunctionality and its influencing factors: a case study of the Liaoning Coastal Economic Belt, China by Yu Chen, Jun Wang

“…In the spatial dimension, it shows the tendency of high coupling multi-core agglomeration and low coupling dispersion. (2) The degree of coupling coordination indicated a shift from reluctant coordination to good coordination, and the gap across counties was narrowing. (3) The dominating determinants had shifted away from natural resources toward socioeconomic and policy environment factors. …”
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Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals by Hao Wu, Yubo Jiao, Chaozhe Jiang, Tong Wang, Jiangbo Yu

“…The results indicate that as the length of the time window increases, the data captures more comprehensive information, leading to improved fatigue detection accuracy. Furthermore, multi-feature fusion significantly enhanced model performance. …”
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Occurrence of macrolides resistance in Legionella pneumophila ST188: Results of the Belgian epidemiology and resistome investigation of clinical isolates by Charlotte Michel, Fedoua Echahidi, Geraldine De Muylder, Max Sewell, Ian Boostrom, Olivier Denis, Owen B. Spiller, Denis Pierard

“…A total of 283 clinical isolates were typed by core genome multi-locus sequence typing (cgMLST). Acquired genes or mutations triggering resistance were extracted from all of them. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. Firstly，preprocess the collected raw load data and calculate the actual load value considering system energy loss； Secondly，the maximum information coefficient （MIC） is used to analyze the correlation between multiple loads and between multiple loads and weather factors，and to extract strongly correlated variables of multiple loads； Once again，the strongly correlated variables of multiple loads are substituted into CEEMDAN，and the load data is decomposed into stationary subsequences； Then，the feature sequence is substituted into the LSTM-MTL shared layer and the CSO algorithm is used to optimize the prediction model，achieving collaborative prediction of multiple loads； Finally，the performance of the constructed model was validated using a multivariate load dataset from a chemical park in Jilin City，Jilin Province，China. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…Comparative analysis against established models such as RoBERTa, Microsoft CodeBERT, and GPT-2 demonstrates that our approach yields significant improvements in prediction performance, with accuracy gains of up to 20% and 7% respectively in binary and multi class experimentation. Empirical studies validate the effectiveness of neural language models like CodeBERT for software defect prediction, highlighting substantial advancements in software testing and development techniques. …”
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Surfing with the tide: Real estate as a hedge against inflation by Malović Marko, Roganović Miloš

“…After a multi-year period of low interest rates and monetary expansions following the so-called great moderation, the issue of how to protect capital from value erosion became highly relevant once again. …”
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