Host selection is not a universal driver of phyllosphere community assembly among ecologically similar native New Zealand plant species by Anya S. Noble, Jaber Abbaszadeh, Charles K. Lee

“…Furthermore, we propose that phyllosphere microbiomes under strong host selection, such as that of mānuka, may act as a source of microorganisms for the phyllosphere microbiomes of neighbouring plants. …”
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Growth Toxic Effects of Metal Nanoparticles on Bacillus subtilis and Vibrio parahaemolyticus by Shiyu CHEN, Bin XIA, Lin ZHU, Shuang LI, Qiufen LI, Xuemei SUN, Wei DAI

“…Concurrently, organic colloids from natural sources, dust aerosols from volcanic eruptions, and other metal nanoparticles also widely exist in nature which can be transferred directly or indirectly into the ocean through sewage dumping, air subsidence, and surface runoff, thereby threatening marine environments. …”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Notably, case studies demonstrated a 30% boost in entity recognition accuracy in clinical notes and a 90% detection rate for malignancies in medical imaging. …”
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Involvement of transposable elements in neurogenesis by R. N. Mustafin, E. K. Khusnutdinova

“…Significant activity of long non-coding RNA was detected in the hippocampus, which confirms the role of transposons in the regulation of brain function. …”
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LH Gene Cloning, Sequence Feature Analysis and Prokaryotic Expression in Conger myriaster by Yan CHEN, Bao SHI, Chenggang WANG, Wanjun BO, Kewen YAN, Meijun TAO, Xinyu ZHAO, Xiaodong MA

“…Conger myriaster is an economic valuable fishery resources in the seas surrounding China, Korea, and Japan. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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Evaluation of Cloud Masking Methods using Sentinel-2 Satellite Images on Google Earth Engine: A Case Study in Vietnam by Le Minh Hang, Bui Xuan Hung, Nguyen Thi Thu Nga, Mai Phuong Pham, Nguyen Quoc Khanh

“…Sentinel-2 imagery is currently the primary source of data for Earth monitoring. There are several ways to create cloudless images from multi-temporal Sentinel-2 optical satellite imagery on the Google Earth Engine (GEE) platform. …”
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Targeting GJB4 to inhibit tumor growth and induce ferroptosis in pancreatic cancer by Xiangru Zheng, Wenjun Li, Xiaoli Li, Qianyi Yao, Luquan Zheng, Rongrong Fan, Ping Bie

“…Bioinformatics analysis was conducted to explore the function of GJB4 in PC cells. Changes in ferroptosis in PC cells following GJB4 downregulation were detected by immunofluorescence staining, transmission electron microscopy, and western blotting.ResultsGJB4 expression was found to be upregulated in PC tissues and positively correlated with patient survival. …”
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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

“…The focus of the current work is on detecting deviations from the ideal gap-density function describing randomized bit sequences. …”
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Genomic insights into population dynamics and adaptive strategies of the endangered dipterocarp, Hopea chinensis by Wei-Min Xiang, Yu-Ting Jiang, Jie Zou, Yan Deng, Kai Jiang, Kai-Jian Zhang, Xin-Yu Zhou, Kai-Xi Quan, Zi-Wen Han, Wei-Chao Liu, Liang Tang, Yuan-Yuan Li, Simon T. Segar, Yuan-Ye Zhang, Xing-Hua Hu, Rong Wang, Xiao-Yong Chen

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Features of the alpha-cell population organization in pancreas of spontaneously hypertensive rats (SHR) by T. V. Abramova, Yu. M. Kolesnyk

“…At the same time, glucagon-suppressive therapy is defined as the strategically main source of success of therapy for patients with type 2 diabetes mellitus. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…This estimation makes it possible to determine whether the network makes decisions as expected (decision-making is related to the model’s observation of objects belonging to different semantic classes in the environment) and to detect unexpected, seemingly chaotic behavior that might be, for example, the result of data bias, bad design of the reward function or insufficient generalization abilities of the model. …”
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Postpartum Methicillin-Resistant Staphylococcus aureus Toxic Shock Syndrome Caused by a Perineal Infection by Yoko Deguchi, Yuko Horiuchi, Kensaku Shojima, Naoyuki Iwahashi, Miwa Ikejima, Kazuhiko Ino, Kenichi Furukawa

“…Furthermore, since MRSA was not detected in the nasal and vaginal cavity during pregnancy, it suggests that vaginal colonization can also occur postpartum and be the disease source in mothers. …”
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EVL Promotes Osteo-/Odontogenic Differentiation of Dental Pulp Stem Cells via Activating JNK Signaling Pathway by Kangrui Zeng, Qiongyi Kang, Yutong Li, Weiping Li, Qing Cheng, Wenwei Xia

“…Human dental pulp stem cells (hDPSCs) were recognized as a suitable and promising source of stem cells in dental pulp regeneration. …”
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Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study by Elham Rohollahpour, Hadi Taleshi Ahangari

“…Subjects and Methods: The proton pencil beam source was defined as a function of the tumor size to encompass the tumor volume. …”
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The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

“…Working in stone-cutting factories is a known source for silica dust exposure, which has pathogenic effects on the respiratory system resulting finally in silicosis which may end in malignancy. …”
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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. The experiment confirms that our system can detect and recognize different types of drinks with an accuracy of 98.51%.…”
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Pearls on a String: Dark and Bright Galaxies on a Strikingly Straight and Narrow Filament by M. Arabsalmani, S. Roychowdhury, B. Schneider, V. Springel, E. Le Floc’h, F. Bournaud, A. Burkert, J.-C. Cuillandre, P.-A. Duc, E. Emsellem, D. Galárraga-Espinosa, E. Pian, F. Renaud, M. A. Zwaan

“…We study the cold H i gas in a 1.3 Mpc section of the filament through H i 21 cm emission line observations and detect 11 H i sources, many more than expected from the H i mass function in a similar volume. …”
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Cerebrospinal fluid CD4+ T cell infection in humans and macaques during acute HIV-1 and SHIV infection. by Vishakha Sharma, Matthew Creegan, Andrey Tokarev, Denise Hsu, Bonnie M Slike, Carlo Sacdalan, Phillip Chan, Serena Spudich, Jintanat Ananworanich, Michael A Eller, Shelly J Krebs, Sandhya Vasan, Diane L Bolton, RV254/SEARCH010 and RV304/SEARCH013 Study Teams

“…HIV-1 replication within the central nervous system (CNS) impairs neurocognitive function and has the potential to establish persistent, compartmentalized viral reservoirs. …”
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User satisfaction with train fares: A comparative analysis in five Australian cities. by Puteri Paramita, Zuduo Zheng, Md Mazharul Haque, Simon Washington, Paul Hyland

“…To address this underrepresentation, this paper reports on a study of train passengers' satisfaction with the fare paid for their most recent home-based train trip in five Australian capital cities: Sydney, Melbourne, Brisbane, Adelaide, and Perth. Two data sources are used: a nation-wide survey, and objective information on the train fare structure in each of the targeted cities. …”
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