MaPep1 and MbPep1, as plant elicitor peptides in banana, confer resistance to banana blood disease caused by Ralstonia syzygii subsp. celebesensis by Praphat Kawicha, Ladawan Rattanapolsan, Ratri Boonruangrod, Yube Yamaguchi, Kusavadee Sangdee, Aphidech Sangdee, Thanwanit Thanyasiriwat

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Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning by Caterina Barrasso, Robert Krüger, Anette Eltner, Anna F. Cord

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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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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…This was accomplished by calculating the detection efficiency and energy resolution through experimental measurements using standard gamma-ray sources and simulations using MCNP5. …”
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A Novel Landfill Liner Material for Solidified Lake Sediment Based on Industrial By-Product and Construction Waste: Engineering Behavior and Cr(VI) Breakdown Characteristics by Wencheng Meng, Lin Guo, Jiayue Yuan, Shiyu Chen, Guanghua Cai, Haijun Lu

“…Engineering sludge, industrial waste, and construction waste are marked by high production volumes, substantial accumulation, and significant pollution. The resource utilization of these solid wastes is low, and the co-disposal of multiple solid wastes remains unfeasible. …”
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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

“…We close by discussing next steps, including automating phenology annotations, adding new phenology targets, for example leaf phenology, and further integration with other resources to form a global central database integrating all in situ plant phenology resources.…”
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Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data by Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

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Spatiotemporal Variation in Aerosol Optical Depth and Its Potential Effects on Snowmelt in High Mountain Asia from 2004 to 2023 by Lichen Yin, Xin Wang, Wentao Du, Jizu Chen, Youyan Jiang, Weijun Sun, Chengde Yang, Bowen Li, Xingyu Xue, Changsheng Lu

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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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Approaches used to prevent and reduce the use of restrictive practices on adults with learning disabilities: a realist review by Joy Duxbury, Alina Haines-Delmont, John Baker, Peter Baker, Gary Bourlet, Elaine Craig, James Ridley, Rachel Whyte, Beth Morrison, Michaela Thomson, Anthony Tsang, Tella Lantta

“…The main literature searches were then conducted using six databases: Applied Social Sciences Index and Abstracts (ProQuest), Cumulative Index to Nursing and Allied Health Literature (EBSCO), MEDLINE (Ovid), PsycInfo (Ovid), EMBASE (Ovid) and Web of Science Core Collection (Emerging Sources Citation Index). The search covered evidence from 1 January 2001 up to 21 July 2021 and yielded 16,775 hits, which were then reduced to 14,383, after using EndNote X9’s (2013) inbuilt duplication detection function and manual de-duplication. …”
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Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing by Jing Chen, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, Kedi Wang

“…Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. …”
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Genetic diversity in wild species and cultivars of strawberry for the <i>FanAAMT</i> gene controlling fruit flavor volatiles by A. S. Lyzhin, I. V. Luk’yanchuk

“…‘Karmen’, ‘Ostara’, ‘Samson’, ‘Symphony’, ‘Troubadour’ and ‘Vima Tarda’, in which the functional allele of the FanAAMT gene was found. In the remaining studied strawberry genotypes the marker FanAAMT was not detected, which presumably indicates that the FanAAMT gene is absent. cells (R9.4.1).…”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…The target of rapamycin complex 1 (TORC1) is a highly conserved protein complex whose primary function is to link nutrient availability to cell growth in eukaryotes, particularly nitrogen sources. …”
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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

“…Thus, according to literature sources, the frequency of pathology in patients under 20 years of age reaches 10% in the population and less than 2% in children under 10 years of age. …”
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PoreWalker: a novel tool for the identification and characterization of channels in transmembrane proteins from their three-dimensional structure. by Marialuisa Pellegrini-Calace, Tim Maiwald, Janet M Thornton

“…Therefore, computational methods which, given a set of 3D coordinates, can automatically identify and describe channels in transmembrane proteins are key tools to provide insights into how they function.Herein we present PoreWalker, a fully automated method, which detects and fully characterises channels in transmembrane proteins from their 3D structures. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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WHO malaria nucleic acid amplification test external quality assessment scheme: results of eleven distributions over 6 years by Rebecca M. Thomson, Jane A. Cunningham, Michelle M. Gatton, Sean C. Murphy, Maria de la Paz Ade, Xavier C. Ding, Sandra Incardona, Eric Legrand, Naomi Lucchi, Didier Menard, Samuel L. Nsobya, Agatha C. Saez, Jaya Shrivastava, Peter L. Chiodini

“…The use of nucleic-acid amplification (NAAT) for detection of Plasmodium spp. has expanded rapidly in recent years, for epidemiological research globally and clinical care in high-resource settings. …”
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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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