First Detection of the Molecular Cloud Population in the Extended Ultraviolet Disk of M83 by Jin Koda, Linda Watson, Françoise Combes, Monica Rubio, Samuel Boissier, Masafumi Yagi, David Thilker, Amanda M Lee, Yutaka Komiyama, Kana Morokuma-Matsui, Celia Verdugo

“…The observed 1 kpc ^2 region is at about 1.24 times the optical radius ( R _25 ) of the disk, where CO( J = 2–1) was previously not detected. The detection and nondetection, as well as the level of star formation (SF) activity in the region, can be explained consistently if the clouds have the mass distribution common among Galactic clouds, such as Orion A—with star-forming dense clumps embedded in thick layers of bulk molecular gas, but in a low-metallicity regime where their outer layers are CO-deficient and CO-dark. …”
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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…However, fraudulent activities account for an estimated 3%–10% of total healthcare expenditures, resulting in financial losses exceeding $300 billion annually. …”
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PHENOTYPIC PROFILE AND FUNCTIONAL ACTIVITY OF MONOCYTES IN THE PATIENTS WITH ACUTE PANCREATITIS by A. A. Savchenko, A. G. Borisov, D. E. Zdzitovetskiy, I. V. Kudryavtsev, A. Yu. Medvedev, A. V. Moshev, I. I. Gvozdev

“…The functional characteristics of the monocytes in patients with acute pancreatitis are defined as a decrease in phagocytic activity and low respiratory burst intensity. Reduced phagocytic activity of monocytes was detectable in all the cellular subpopulations. …”
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Neuronal Multi Unit Activity Processing with Metal Oxide Memristive Devices by Caterina Sbandati, Xiongfei Jiang, Deepika Yadav, Spyros Stathopoulos, Dana Cohen, Alex Serb, Shiwei Wang, Themis Prodromakis

“…An intriguing proposition is the memristive integrating sensor (MIS) approach, which uses resistive RAM (RRAM) for threshold‐based neural activity detection. MIS leverages analogue multi‐state switching properties of metal‐oxide RRAM to compress neural inputs by encoding above‐threshold events in resistance displacement, facilitating efficient data down‐sampling in the post‐processing, enabling low‐power, high‐channel systems. …”
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Secure performance analysis and detection of pilot attack in massive multiple-input multiple-output system by Xianyu Zhang, Daoxing Guo, Kefeng Guo, Hehao Niu

“…This optimization problem is efficiently solved by fractional programming. Numerical simulation results are derived to validate the secrecy performance of the massive multiple-input multiple-output system, the active pilot attacker detection performance, and the energy efficiency optimization effect.…”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…Sleep is vital for our physical and mental health, and sound sleep can help us to focus on daily activities. Therefore, a sleep study that includes sleep patterns and disorders is crucial to enhancing our knowledge about individual health status. …”
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Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM by Nilo Legowo, Wilyu Mahendra Bad

“…This study aims to develop a model for detecting anomalous activities within authentication log data obtained from VPN usage. …”
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Identifying High-Risk Bacteria with Active Nasal Swab Surveillance in Intensive Care Units to Prevent Ventilator-Associated Pneumonia by Yu Kuramasu, Yu Suzuki, Daisuke Akaneya, Yoshikazu Okuma, Yuta Tsujimoto, Daisuke Ishizawa, Kazunori Moriya, Parichart Hongsing, Mohan Amarasiri, Cameron Hurst, Paul G. Higgins, Kenji Shibuya, Anthony Kicic, Yoshitaka Shimotai, Hiroshi Hamamoto, Dhammika Leshan Wannigama, Shuichi Abe

“…Background: Active nasal surveillance culture (ANSC) is recognized to enable rapid detection of antibiotic-resistant bacteria in the intensive care unit (ICU), which can contribute to the prevention of Ventilator-associated pneumonia (VAP). …”
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Dynamic change of microbial community structure of activated sludge influenced by oxytetracycline in wastewater by TANG Lu, NIU Chengzhen, LYU Zhenmei

“…However, treatment efficiency of activated sludge containing OTC would tend to recover in the course of extended operation time. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

“…To overcome these challenges, we developed a robust and efficient approach for estimating the age of secondary mangrove forests (ASMF) by integrating Landsat time-series data and the Continuous Change Detection and Classification (CCDC) algorithm. …”
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The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China by Lan-Wei Guo, Zhang-Yan Lyu, Yin Liu, Qing-Cheng Meng, Li-Yang Zheng, Qiong Chen, Hui-Fang Xu, Rui-Hua Kang, Shu-Zheng Liu, Shao-Kai Zhang

“…Conclusions The model developed and validated in this study may be used to estimate the probability of lung cancer in nodules detected at baseline LDCT, allowing more efficient risk-adapted follow-up in population-based LCS programs. …”
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Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans by Faezeh Yousefi, Ali Heidari, Azita Ehsani, Maryam Farhadian, Marzieh Ehsani

“…By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects. …”
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Evaluating the Activity of Ultrasound on Biofilm Formation by Acinetobacter baumannii isolated from clinical Specimens by Shymaa Ali, Halah H. Al-Haideri, Amna M. Al Hishimi

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Selective Serotonin Reuptake Inhibitors: Antimicrobial Activity Against ESKAPEE Bacteria and Mechanisms of Action by Thiago Hideo Endo, Mariana Homem de Mello Santos, Sara Scandorieiro, Bruna Carolina Gonçalves, Eliana Carolina Vespero, Márcia Regina Eches Perugini, Wander Rogério Pavanelli, Gerson Nakazato, Renata Katsuko Takayama Kobayashi

“…Regarding their mechanisms of action as antibacterials, for the first time, increased membrane permeability was detected, as evidenced by heightened dye absorption, along with the increased presence of total proteins and dsDNA in the extracellular medium of <i>Escherichia coli</i> ATCC2 25922 and <i>Staphylococcus aureus</i> ATCC 25923, and oxidative stress was also detected in bacteria treated with sertraline and paroxetine, with reduced efficiency observed in the presence of antioxidants and higher levels of oxygen-reactive species evidenced by their reaction with 6-carboxy-2′,7′-dichlorodihydrofluorescein diacetate. …”
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DORA: Dionaea Observation and Data Collection Analysis for Real-Time Cyberattack Surveillance and Threat Intelligence by Hartinah Hartinah, Andi Syarwani, Ardiansyah Ardiansyah, Irfan Syamsuddin

“…DORA improves threat intelligence workflows, enhancing malware detection accuracy and classifying threats more efficiently. …”
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DEVELOPMENT, STANDARDIZATION AND VALIDATION OF ANALYTICAL METHOD FOR QUALITY ASSURANCE AND QUALITY CONTROL OF ALOE-BASED PHARMACEUTICALS AND NUTRACEUTICALS by R. B. Yadav, B. Kumar, A. Vats, S. N. Singh, D. P. Pathak, R. Arora

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Application of an Electronic Nose to the Prediction of Odorant Series in Wines Obtained with <i>Saccharomyces</i> or Non-<i>Saccharomyces</i> Yeast Strains by Raquel Muñoz-Castells, Margherita Modesti, Jaime Moreno-García, Alexandro Catini, Rosamaria Capuano, Corrado Di Natale, Andrea Bellincontro, Juan Moreno

“…In this study, five low-ethanol wines with distinctive sensory profiles—produced using <i>Saccharomyces</i> and non-<i>Saccharomyces</i> yeasts and tailored to modern consumer preferences—were analyzed to validate the E-nose. A total of 57 volatile compounds were quantified, 27 of which had an Odor Activity Value (OAV) over 0.2. …”
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Detecting Older Adults’ Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal Observational Study by Roschelle Fritz, Diane Cook

“…Behavior trends differed across exposures. In total, two key discoveries were made: (1) using retrospective analysis, the smart home was capable of detecting behavior changes related to 2 external events; and (2) older adults’ sleep efficiency, time out of home, and overall activity levels changed while experiencing external events. …”
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The combined negative effect of temperature, UV radiation and salinity on eDNA detection: A global meta-analysis on aquatic ecosystems by Eftychia Tzafesta, Milad Shokri

“…However, the efficiency of eDNA detection can be hindered by various environmental and methodological factors. …”
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Hyperspectral imaging-driven deep learning approach: Asymptomatic stage detection and severity grading of tomato yellow leaf curl disease by Junzhi Chen, Wenshan Zhong, Xuejun Yue, Ziyu Ding, Mengdan Du, Xuantian Li, Biao Chen, Haifeng Li, ZiFu He, Xiaoman She, Yafei Tang

“…The findings establish that hyperspectral imaging integrated with SSDBRN enables non-destructive, early asymptomatic-stage detection and precise severity classification of TYLCD, providing an efficient diagnostic solution for the agricultural industry.…”
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