A Multidisciplinary Approach to Managing Carcinoid Syndrome in Pregnant Women: Ensuring Maternal and Fetal Safety Trough Interdisciplinary Collaboration by Andreea Elena CONSTANTIN, Monica Mihaela CIRSTOIU, Gratiela DRAGHICI, Catalina POIANA

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Collaborative modification strategy to improve the formation of biochar-derived persistent free radicals for aniline removal via peroxymonosulfate activation by Zilong Zhao, Shuting Zhu, Shuyu Qi, Ting Zhou, Yang Yang, Feng Wang, Qi Han, Wenyi Dong, Hongjie Wang, Feiyun Sun

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Implementing one health in Palestine: Mapping ministerial mechanisms for pandemic preparedness, zoonotic disease control, and inter-sectoral collaboration by Leen Humos, Hanin Basha, Walaa Saleh, Fa’ida Awashreh, Ali Baradiea, Eias Salhab, Mohammad Salaymeh, Jakob Zinsstag, Maysaa Nemer, Niveen Abu Rmeileh, Said Abukhattab

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Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review by Aisha Raji, Urvashy Gopaul, Jessica Babineau, Milos R. Popovic, Cesar Marquez-Chin

“…Some of the cobots used were equipped with sensors to detect and respond to the movement of the extremities and minimize the risk of injury. …”
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A full response chain surge capacity test of a small rural hospital, prehospital resources and collaborating organisations by Kristina Stølen Ugelvik, Kristina Lennquist Montán, Øyvind Thomassen, Geir Sverre Braut, Thomas Geisner, Silje Longva Todnem, Ove Njå, Elin Seim, Torunn Oveland Apelseth, Janecke Engeberg Sjøvold, Geir Arne Sunde, Sølvi Kasin, Carl Montán

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Research on traffic representation in network anomaly detection by SUN Jianwen, ZHANG Bin, CHANG Heyu

“…Firstly, the integrated collaboration between traffic representation granularity and the coupling among traffic representation, feature learning, and detection in malicious anomaly detection was introduced. …”
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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

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Exploring Immersive Solutions for Surgery in the Virtuality Continuum: A Review by Belén Palma, Pablo Casanova-Salas, Jesús Gimeno, Manuel Pérez-Aixendri, José Vicente Riera

“…This also promotes collaboration between different members of the healthcare community. …”
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A Survey of Camouflaged Object Detection and Beyond by Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Longxiang Tang, Ziyun Yang, Xiu Li, Chunming He

“…Camouflaged object detection (COD) refers to the task of identifying and segmenting objects that blend seamlessly into their surroundings, posing a significant challenge for computer vision systems. …”
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Towards Seamless Human–Robot Interaction: Integrating Computer Vision for Tool Handover and Gesture-Based Control by Branislav Malobický, Marián Hruboš, Júlia Kafková, Jakub Krško, Mário Michálik, Rastislav Pirník, Pavol Kuchár

“…This paper presents the development of a robotic workstation that integrates a collaborative robot as an assistant, leveraging advanced computer vision techniques to enhance human–robot interaction. …”
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A Hardware Implementation of Spaceborne SAR BP Algorithm Based on Precise Region Focusing and Hardware–Software Collaboration by Yongrui Li, Liang Chen, Pengnan Zheng, Jie Ding, Zhihan Zhang, Zhu Yang, Yizhuang Xie, Han Li

“…Combined with image detection and recognition, it can rapidly downlink and distribute the effective information. …”
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Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

“…An explainable object detection algorithm was proposed for the identification of fractures. …”
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Evolution of global scientific collaboration in mRNA vaccine research: Insights from bibliometric and social network analysis (2010~2023) by Juan Chen, Lizi Pan, Yan Lu, Ting Zhang, Dongzi Xu, Shu Yan, Zhaolian Ouyang

“…Significant correlations between collaboration type and publication impact and between geographical distance and collaborative publication counts were detected. …”
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Initiating HERMÓPOLIS Collaborative Design: Local Definitions for Building a Global Smart City Platform to Improve the Quality of Life of the Elderly by Víctor Manuel Padrón Nápoles, José Luis Esteban Penelas, Esther Pizarro Juanas, Juan Diego López-Arquillo, Esther Delgado-Pérez, Alberto Bellido-Esteban, Rafael Muñoz Gil, Olalla García Pérez, Patricio Martínez García, Ignacio Loscertales, Silvia Álvarez Menéndez, Mariana Bernice Arteaga Orozco

“…This paper describes the first step in a collaborative design of a smart city platform based on this concept. …”
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Impact of collaborative pharmaceutical care on older inpatients’ medication safety: multicentre stepped-wedge cluster randomised trial (MEDREV Study) by Géraldine Leguelinel-Blache, Sophie Bouvet, Pierrick Bedouch, Bérengère Bachelet, Catherine Chenailler, Thomas Dantin, Laure Geneletti, Alexia Janes, Florence Scher, Bogdan Cireașă, Jean-Marie Kinowski, Christel Castelli, Clarisse Roux-Marson, Working Group “Valorisation of Pharmacist Interventions” of the French Society of Clinical Pharmacy, MEDREV working group

“…Every 14-day period, one hospital unit was electronically randomised to switch to the intervention period until all cluster groups received the intervention, which consisted of collaborative pharmaceutical care (CPC) associating medication reconciliation at hospital admission, pharmaceutical analysis of the medication order, medication review and collaborative meeting. …”
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Cobot Kinematic Model for Industrial Applications by Giorgio Figliolini, Chiara Lanni, Luciano Tomassi

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New Diagnostic Tools for Pulmonary Embolism Detection by Jacob Shapiro, Adam Reichard, Patrick E. Muck

“…Artificial intelligence (AI) technology plays a key role in the PE workflow with automated detection and flagging of suspected PE in CTPA imaging. …”
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Rapid Diagnostic Technique for Rabies Virus Detection by Farzaneh Sheikholeslami1*

A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles by Haohua Que, Haojia Gao, Weihao Shan, Xinghua Yang, Rong Zhao

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