An Improved VSLAM for Mobile Robot Localization in Corridor Environment by Gengyu Ge, Zhong Qin, Lilve Fan

“…Localization is a fundamental capability for an autonomous mobile robot, especially in the navigation process. The commonly used laser-based simultaneous localization and mapping (SLAM) method can build a grid map of the indoor environment and realize localization task. …”
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Influence Diagnostics in Gamma-Pareto Regression Model With Cook’s Distance for Standardized and Adjusted Pearson, Deviance, and Likelihood Residuals: Simulation and Application by Nasir Saleem, Atif Akbar, Ateeq Ur Rehman Irshad, Burhanettin Ozdemir, Javaria Ahmad khan

“…Influential analysis is the main diagnostic process to obtain reliable regression results. Same is true for the generalized linear model (GLM). …”
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Quantum Computing in Health Care and Dentistry: Transformative Potential, Applications, and Challenges by Roja Lakshmi Karri, Chinta Priyanka Reddy, Sindhuri Yerra, Juneda Vahid Shaik, Srujananjali Grandhi, Tejaswi Gavidi

“…Quantum computing, powered by principles such as superposition and entanglement, holds the promise to revolutionize health care and dentistry by solving problems that classical computers struggle with. With its ability to process massive datasets and simulate molecular behavior at lightning speed, quantum computing could pave the way for breakthroughs in disease diagnosis, treatment, and drug discovery. …”
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Spectral and temporal properties of type-II parametric down-conversion: The impact of losses during state generation by Denis A. Kopylov, Michael Stefszky, Torsten Meier, Christine Silberhorn, Polina R. Sharapova

“…Our theoretical approach is based on the formalism of Gaussian states and the Langevin equation, which is elaborated for weak parametric down-conversion and photon-number-unresolved click detection. Using the example of frequency-degenerate type-II SPDC generated under the pump-idler group-velocity-matching condition, we show how the joint-spectral intensity, mode structure, normalized second-order correlation function, and Hong-Ou-Mandel interference pattern depend on internal losses of the SPDC process. …”
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Clinical and epidemiological characteristics of outbreaks of acute intestinal diarrheal infections by A. V. Semena, V. V. Malyshev, U. P. Finogeev, I. O. Myasnikov, D. A. Makarov

“…Specific factors of transmission of enteric pathogens on the basis of analysis of existing materials have not been established, but the analysis of risk factors can be said about the dominance of food factor in the transmission of the epidemic process of acute intestinal infections. In order to identify the etiology of acute intestinal infections should be more widely applied in practice techniques for the detection of viral agents in epidemiological investigations.…”
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Implementation Path of Intelligent Rehabilitation under the Background of Healthy China Construction by HUANG Guozhi

“…By elaborating the service process of intelligent rehabilitation, the intelligent technical means suitable for integration are analyzed in detail from the four key links of real-time health detection, remote home intelligent rehabilitation intervention, health classification and evaluation standard system and health intervention standard system in order to build the general framework of the implementation path of intelligent rehabilitation. …”
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Massive tuberculous exudative pericarditis under the guise of hydropericardium in a patient with non-compaction cardiomyopathy: diagnosis and treatment by O. V. Blagova, I. N. Alieva, P. V. Senchikhin, L. D. Nazarova, S. V. Chernyavsky, G. Yu. Sorokin, E. V. Pavlenko, V. P. Sedov, N. V. Gagarina, N. D. Sarkisova

“…It was made only after repeated elimination of 3,5 l of hemorrhagic exudate and the detection of mycobacterial DNA by PCR. As a result of quadruple tuberculostatic therapy, a remission of the process was achieved (there is no fluid in the pericardial cavity).…”
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Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label by Sahasat Khumang, Supaporn Kansomkeat, Wiwatana Tanomkiat, Sathit Intajag

“…To improve the TB-lesion segmentation model performance, a contextual background label process was designed for decomposing the heterogeneous CXR image background. …”
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Large language models for PHM: a review of optimization techniques and applications by Tingyi Yu, Junya Tang, Qingyun Yu, Li Li, Ying Liu, Raul Poler

“…Abstract The rapid advancement of Large Language Models (LLMs) has created unprecedented opportunities for industrial automation, process optimization, and decision support systems. …”
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Comparison of the adsorption behavior of melphalan anti-cancer drug on MgS nano-cage: A DFT study by Shahnaz Azari Gharelar, Shiva Masoudi, Nasrin Masnabadi, Mohammad Hadi Ghasemi

“…MgS nanocage is a ϕ-type sensor that can be active in the detection of MEL drug. Adsorption process of MEL on MgS nanocage as well as the structural changes after adsorption were studied by UV/Vis absorption, NCI and QTAIM analyses. …”
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The Role and Forming of Internal Control Over the Economic Stability of Business Entities by A. N. Ryakhovskaya, M. V. Melnik

“…Improving and developing control processes at all levels requires focusing on methodological materials for this control area. …”
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A Highly Sensitive SPR Refractive Index Sensor Based on Microfluidic Channel Assisted With Graphene-Ag Composite Nanowire by Akhilesh Pathak, Charusluk Viphavakit, B. M. A. Rahman, Vinod Singh

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Research Progress on Vehicle Status Information Perception Based on Distributed Acoustic Sensing by Wenqiang Dong, Xin Cheng, Jingmei Zhou, Wei Liu, Jianjin Gao, Chuan Hu, Xiangmo Zhao

“…Secondly, it investigates the correlations between DAS sensing characteristics, deployment process, and driving behavior characteristics. The results indicate that both the intensity of driving behavior and the degree of deployment–process coupling are positively associated with DAS signal sensing characteristics. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…Furthermore, our method has the potential to simplify the process of delivering immediate and precise diagnoses.…”
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Effects of the ratio of grain to rice husk on the physicochemical property and volatile flavor compounds of strong-flavor Baijiu Zaopei by WANG Xiaomei, WEN Kexiong, LU Yanping, LIU Duotao, LEI Xuejun, LI Zhansheng, ZHANG Xia, ZHENG Jia

“…The blending process of raw materials based on the appearance observation of Zaopei (fermented grains) is the key link of traditional process of strong-flavor (Nongxiangxing) Baijiu, which has an important impact on the yield and quality of the original Baijiu production. …”
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Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning by Amr Eledkawy, Taher Hamza, Sara El-Metwally

“…Abstract Background Millions of people die from cancer every year. Early cancer detection is crucial for ensuring higher survival rates, as it provides an opportunity for timely medical interventions. …”
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CAV-generated mobility data modeling mechanism for adaptive signal control by Wei Lin, Heng Wei, Lan Yang, Xiangmo Zhao

“…In the long-run, the CV/AV-generated data source could gradually substitute traditional inductive loop data as the maturity levels of the relevant data process techniques are progressively increasing. However, use of the CV/AV-generated data is still yet mature due to lack of the data process mechanism and models to integrate the data into the adaptive traffic signal control system. …”
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A model for promoting breast self-examination among rural South African women in KwaZulu-Natal by Nelisha Sarmah, Maureen N. Sibiya, Thandokuhle E. Khoza

“…Aim: To describe the process involved in developing and describing the model for promoting BSE among rural African women in South Africa. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…The dataset’s suitability was confirmed by Monte Carlo outlier detection. Detailed analysis, utilizing the Taylor Diagram and performance metrics, confirmed that SVR and CatBoost models achieved the highest accuracy in predicting CO2 adsorption. …”
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The Power of Reagent Titration in Flow Cytometry by Diana L. Bonilla, Alberta Paul, Jesus Gil-Pulido, Lily M. Park, Maria C. Jaimes

“…Flow cytometry facilitates the detection of multiple cell parameters simultaneously with a high level of resolution and throughput, enabling in-depth immunological evaluations. …”
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