Quality evaluation of Polygonatum sibiricum slices from different regions based on appearance traits and multi-index metabolites combined with TOPSIS and gray relation analysis by Cheng Wang, Cheng Wang, Ju Ye, Sisi Jiang, Sisi Jiang, Xuguang He, Xuguang He, Min Ma, Min Ma, Li Yin

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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Genomic Analysis of Two Histamine-Producing Strains Isolated from Yellowfin Tuna by Yazhe Wang, Di Wang, Shengjun Chen, Gang Yu, Zhenhua Ma, Ya Wei, Chunsheng Li, Yueqi Wang, Chaoming Shen, Yongqiang Zhao

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Biomimicry as a decision-making methodology in condition monitoring by Hariom Dhungana

“…However, traditional condition monitoring techniques face several limitations: they rely heavily on high-quality, continuous sensor input, struggle with adaptability to new fault scenarios, require significant computational resources, and often provide limited decision support beyond fault detection. …”
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An Emergency Response Framework Design and Performance Analysis for Ship Fire Incidents in Waterway Tunnels by Jian Deng, Shaoyong Liu, Xiaohan Zeng

“…The framework is mapped into a Petri net model encompassing three key stages: detection and early warning, emergency response actions, and recovery. …”
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Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine by Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour

“…Mineral exploration is becoming increasingly challenging because the depths at which undiscovered mineral deposits can be found are progressively increasing under barren cover. Therefore, detecting metal resources under barren cover is a significant step for industrial progress. …”
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Epidemic Process of Haemophilus influenzae Infection in WHO Regions by S. O. Vysokochanskaya, S. Y. Kombarova, R. V. Polibin, A. A. Basov

“…Although Hib infection is classified as vaccine-preventable, WHO and CDC do not post annual incidence information on their resources, unlike other vaccine-preventable infections. …”
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Consistent microbial insights across sequencing methods in soil studies: the role of reference taxonomies by Niranjana Rose Edwin, Aoife Duff, Coline Deveautour, Fiona Brennan, Florence Abram, Orla O'Sullivan

“…Our findings reveal that both methods offer moderately similar outcomes, providing consistent detection of major phyla, similar microbial community differentiation patterns, and largely identifying the same relationships between the phyla and nitrogen functions. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

“…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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Multiparameter Constraints on Empirical Infrasound Period-Yield Relations for Bolides and Implications for Planetary Defense by Elizabeth A. Silber, Josep M. Trigo-Rodríguez, Iyare Oseghae, Eloy Peña-Asensio, Mark Boslough, Rodney Whitaker, Christoph Pilger, Philip Lubin, Vedant Sawal, Claus Hetzer, Randy Longenbaugh, Peter Jenniskens, Brin Bailey, Esther Mas Sanz, Patrick Hupe, Alexander N. Cohen, Thom R. Edwards, Sasha Egan, Reynold E. Silber, Summer C. Czarnowski, Miro Ronac Giannone

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Microparticles That Form Immune Complexes as Modulatory Structures in Autoimmune Responses by Catalina Burbano, Mauricio Rojas, Gloria Vásquez, Diana Castaño

“…Initially MPs were considered to be inert cellular products with no biological function. However, an extensive research and functional characterization have shown that the molecular composition and the effects of MPs depend upon the cellular background and the mechanism inducing them. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…Abstract Directed greybox fuzzing (DGF) has proven effective in vulnerability discovery, but most efforts focus on the Linux platform, with substantially less attention devoted to Windows platform due to its closed-source and GUI software nature. This paper proposes WinDGF, a novel directed greybox fuzzer for Windows applications that addresses challenges including target function localization in persistent testing, GUI bypassing, and fitness metric calculation. …”
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Performance Analysis of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication Systems by Qi Zhang, Dian-Wu Yue, Xian-Ying Xu

“…In the RIS-assisted UWOC systems with intensity modulation and direct detection (IM-DD), we apply the approximate distribution of the sum of Gamma-Gamma random variables to derive the probability density function (PDF) of the instantaneous received signal-to-noise ratio (SNR) for the first time. …”
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Retracted: Wuju Opera Cultural Creative Products and Research on Visual Image Under VR Technology by Yahong Wang, Xiaobing Hu

“…The VR-Platform platform is used to establish a virtual three-dimensional landscape planning scene, and the roaming function can be realized by making cameras and adding collision detection. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Gene expression data is an important source for obtaining hypertension biomarkers. However, this data has a small sample size and high feature dimensionality, posing challenges to biomarker identification. …”
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The Propagation Properties of a Longitudinal Orbital Angular Momentum Multiplexing System in Atmospheric Turbulence by Qinghua Tian, Lei Zhu, Yongjun Wang, Qi Zhang, Bo Liu, Xiangjun Xin

“…The influences of system parameters on the average OAM mode probability densities are analyzed and discussed, such as propagation distance, strength of turbulence, sizes of finite aperture function, OAM mode numbers, and source parameters. …”
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Phase reconstruction via metasurface-integrated quantum analog operation by Qiuying Li, Minggui Liang, Shuoqing Liu, Jiawei Liu, Shizhen Chen, Shuangchun Wen, Hailu Luo

“…Besides, the consistency of entangled photon pairs in time domain makes it possible to achieve a high SNR imaging by trigger detection. The results may potentially empower the application of metasurfaces in optical chip, wave function reconstruction, and label-free biology imaging.…”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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