Unhealthy Phenotype as Indicated by Salivary Biomarkers: Glucose, Insulin, VEGF-A, and IL-12p70 in Obese Kuwaiti Adolescents by Mor-Li Hartman, J. Max Goodson, Ping Shi, Jorel Vargas, Tina Yaskell, Danielle Stephens, Maryann Cugini, Hatice Hasturk, Roula Barake, Osama Alsmadi, Sabiha Al-Mutawa, Jitendra Ariga, Pramod Soparkar, Jawad Behbehani, Kazem Behbehani, Francine Welty

“…Salivary glucose concentration was measured by a high-sensitivity glucose oxidase method implemented on a robotic chemical analyzer. The concentration of salivary insulin and 20 other metabolic biomarkers was assayed in 744 randomly selected saliva samples by multiplexed bead-based immunoassay. …”
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Industry 4.0 and healthcare: Context, applications, benefits and challenges by Konstantinos Kotzias, Faiza A. Bukhsh, Jeewanie Jayasinghe Arachchige, Maya Daneva, Abhishta Abhishta

“…Next, our results show: (i) nine applications of Industry 4.0 in the Healthcare domain: Augmented Reality and Simulation, Autonomous Robotics, Cybersecurity, Big Data Analytics, Internet of Things, Cloud Computing, Additive Manufacturing and Systems Integration; and (ii) 10 benefits and nine challenges in Healthcare 4.0. …”
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Microstructured Liquid Metal‐Based Embedded‐Type Sensor Array for Curved Pressure Mapping by Haoyu Li, Chengjun Zhang, Hongyu Xu, Qing Yang, Zexiang Luo, Cheng Li, Lin Kai, Yizhao Meng, Jialiang Zhang, Jie Liang, Feng Chen

“…The stretchable and mechanically stable sensor arrays possess shape‐adaptability that enables pressure mapping on non‐flat surfaces, which has great potential for object recognition in robotic skins and human‐computer interaction.…”
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Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer by Lei Liu, Ting Zhang, Yi Wu, Qi Wang, Taichang Gao

“…The accuracy of the backscatter coefficient profiles derived from the CYY-2B ceilometer is analyzed by using the Vaisala CL51 ceilometer, MPL, forward scatter visibility instrument, and aerosol optical depth (AOD) dataset from aerosol robotic network (AERONET). Spectral conversions of the ceilometer’s and lidar’s data are performed using the Ångström exponent estimated by AERONET measurements. …”
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Application of Gaseous ClO2 on Disinfection and Air Pollution Control: A Mini Review by Tse-Lun Chen, Yi-Hung Chen, Yu-Lin Zhao, Pen-Chi Chiang

“…In conclusion, we suggest the future priority research direction of ClO2 gas application are included the development of smart and robust ClO2 gas release system, the integration of an innovative robotic technology in ClO2 sterilization for epidemic prevention, and the evaluation of ClO2 emissions impact on indoor air quality in hospitals.…”
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Priming bumble bees with caffeine, odour of the target crop, and a food reward, has minimal effects on fruit crop pollination and yield in a semi-commercial setup by Sarah Arnold, Celine Silva, Jan-Hendrik Dudenhöffer, David Hall, Dudley Farman, Felix Wäckers, Philip Stevenson, Michelle Fountain

“…Inexperienced bees primed with caffeine also made more initial visits to target robotic flowers emitting the target odour, compared to control bees or those primed with odour alone. …”
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Real-Time Diagnostic Technique for AI-Enabled System by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Subrata Kumar Kundu

“…The last few decades have witnessed a dramatic evolution of Artificial Intelligence (AI) algorithms, represented by Deep Neural Networks (DNNs), resulting in AI-enabled systems being significantly dominant in various fields, including robotics, healthcare, and mobility. AI-enabled systems are currently used even for safety-critical applications, including automated driving, where they encounter reliability challenges from both hardware (HW) and software (SW) perspectives. …”
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Calibration between a panoramic LiDAR and a limited field-of-view depth camera by Weijie Tang, Bin Wang, Longxiang Huang, Xu Yang, Qian Zhang, Sulei Zhu, Yan Ma

“…Abstract Depth cameras and LiDARs are commonly used sensing devices widely applied in fields such as autonomous driving, navigation, and robotics. Precise calibration between the two is crucial for accurate environmental perception and localization. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…In contrast to humans, robots do not grow tired from doing the same thing again and again. …”
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Demystifying early childhood computational thinking: An umbrella review to upgrade the field by Weipeng Yang, Jiahong Su, Hui Li

“…Efficacy was noted in tangible activities like unplugged applications and robotics in enhancing concrete understanding and competencies in coding, CT, and spatial skills. …”
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How knee muscles and ground reaction forces shape knee buckling and ankle push-off in neuromuscular simulations of human walking by Alexandra Buchmann, Bernadett Kiss, Alexander Badri-Spröwitz, Daniel Renjewski

“…Our findings contribute to the biomechanical understanding of ankle push-off, with applications in prosthetic and bipedal robotic design, and fundamental research on human gait mechanics.…”
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Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera by Yibing Chen, Songxiao Cao, Qixuan Wang, Zhipeng Xu, Tao Song, Qing Jiang

“…This paper aims to address the challenge of precise robotic grasping of molecular sieve drying bags during automated packaging by proposing a six-dimensional (6D) pose estimation method based on an red green blue-depth (RGB-D) camera. …”
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Nonlinear vibration analysis of a 3DOF double pendulum system near resonance by Asmaa Amer, W. Zhang, T.S. Amer, H. Li

“…The significance of the research model stems from its numerous applications such as the gantry cranes, robotics, pump compressors, transportation devices and rotor dynamics. …”
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

“…In contemporary industrial, robotics, and technical education settings, the efficient detection and sorting of electronic components play a pivotal role in advancing automation and increasing efficiency in these sectors. …”
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A compliant metastructure design with reconfigurability up to six degrees of freedom by Humphrey Yang, Dinesh K. Patel, Tate Johnson, Ke Zhong, Gina Olson, Carmel Majidi, Mohammad F. Islam, Teng Zhang, Lining Yao

“…Abstract Compliant mechanisms with reconfigurable degrees of freedom are gaining attention in the development of kinesthetic haptic devices, robotic systems, and mechanical metamaterials. However, available devices exhibit limited programmability and form-customizability, restricting their versatility. …”
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Latest Advances in Intersphincteric Resection for Low Rectal Cancer by Yifan Xv, Jiajun Fan, Yuan Ding, Yang Hu, Yingjie Hu, Zhengjie Jiang, Qingsong Tao

“…Laparoscopic ISR and robotic ISR have been widely used with the proposal of 2 cm or even 1 cm rule of distal free margin and the development of minimally invasive technology. …”
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3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

“…Due to its precise distance measurement capabilities, 3D LiDAR is a critical sensor in autonomous systems, including autonomous vehicles and self-driving robots. It plays a key role in Multi-Object Tracking (MOT). …”
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An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data by Fang-Cheng Zhou, Xiaoning Song, Pei Leng, Hua Wu, Bo-Hui Tang

“…Error analyses were performed using radiosonde sounding observations from Zhangye, China, and CE318 measurements of Dalanzadgad (43°34′37′′N, 104°25′8′′E) and Singapore (1°17′52′′N, 103°46′48′′E) sites from Aerosol Robotic Network (AERONET), respectively. In Zhangye, the algorithm had a Root Mean Square Error (RMSE) of 4.39 mm and a bias of 0.36 mm on cloud-free days, while on cloudy days there was an RMSE of 4.84 mm and a bias of 0.52 mm because of the effect of liquid water in clouds. …”
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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…With the help of AI and ML, the future of food industries is completely based on smart farming, robotic farming, and drones.…”
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Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

“…This framework enhances our understanding of collective behavior and has implications for bio-robotics, distributed systems, and complex networks.…”
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