21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…First, we provide a theoretical background, showing how different stellar populations (SPS models, initial mass functions (IMFs), and stellar temperatures) and nebular conditions impact observed galaxy spectra. …”
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Risks as an object of internal control: identification and assessment by М.М., I.I.

“…The main purpose of internal control is to ensure timely detection and analysis of business risk, reliability of relevant information, integrity of assets, compliance with regulations, internal policies and procedures, implementation of plans and efficient use of resources. …”
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A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

“…The same hardware resources, i.e., an orthogonal frequency-division multiplexing (OFDM) baseband processor and a beam-steering phased array antenna frontend, the same signal waveform and the same frequency channel are used for both sensing and communication. …”
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The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

“…Implementing multisectoral One Health will improve human, animal, and environmental health globally using limited resources. Abstract Parasitic infections including Schistosoma spp., hookworm, and Strongyloides spp. are commonly co‐existing diseases in underdeveloped countries including South Sudan and Sudan. …”
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Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

“…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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Historical traces in Southern Grevena during Ottoman occupation by Vasileios D. Spanos

“…In particular, attention was paid to the detection of all reports of the settlement, in written sources (published and unpublished), so that all the information concerning each settlement, even the simple reports, become known and accessible to the research and also in order to record all types with which each toponym is found, which also facilitates its etymology (although this identification was not always possible). …”
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Identification of positive selection signatures associated with milk and composition traits in Murciano-Granadina and Barki by Hossein Mohammadi, amir hossien khaltabadi farahani, Mohammad Hossein Moradi

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Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022 by Paul Eze, Judith Chidumebi Idemili, Friday Onwubiko Nwoko, Nigel James, Lucky Osaheni Lawani

“…From the 2022 submissions, 116 (62%) countries reported functional (Level 4 or 5) prevention capacity, 162 (87%) had functional detection capacity, 118 (63%) had functional response capacity, 121 (65%) had functional enabling resources and coordination capacity, and 133 (72%) had functional operational readiness against public health events. …”
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Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

“…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…Additionally, we provide quantitative resource estimates, demonstrating a constant factor improvement in the number of samples required to detect a specified change in CDF. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

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Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks by Ashish Bagwari, Geetam Singh Tomar

“…Cognitive radio (CR) is a regulated technique for opportunistic access of idle resources. In CR, spectrum sensing is one of the key functionalities. …”
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Mitochondrial genome of Lonicera macranthoides: features, RNA editing, and insights into male sterility by Zhong Chen, Wei Zhuo, Yuqi Wang, Junpeng Qi, Li Liu, Sheng’E. Lu, Han Wang, Tao Sun, Liqiang Wang, Fengming Ren, Fengming Ren

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Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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Intra action review of the cholera outbreak response in Kadoma city, Zimbabwe, 2024 by Clayton Munemo, Chido Zibanayi, Hamilton Gomba, Precious Banda, Sarah Tengawarima, Sikhanyisiwe Moyo, Daniel Chirundu

“…The working groups covered eight response pillars aligned to the five core functions of the Incident Management System (IMS). …”
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Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

“…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
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LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

“…<i>glycinea</i>, is one of the most devastating diseases in soybean with significant yield losses ranging from 4% to 40%. The timely detection of BBS is the foundation for disease control. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Following this, each individual completed pulmonary function tests and participated in questionnaire surveys. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…The RL-based mechanism continuously adapts decision-making by learning from system states, prioritizing transactions, and dynamically resolving conflicts using a reward function that accounts for key performance parameters, including the number of conflicting transactions, cost of aborting transactions, temporal validity constraints, and system resource utilization. …”
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