Design and Implementation of a State-Driven Operating System for Highly Reconfigurable Sensor Networks by Tae-Hyung Kim

“…Sensed data fusion might be needed before being transmitted as a tradeoff between procession and transmission in consideration of saving power consumption. …”
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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…ObjectivePedestrian detection is a crucial task in computer vision, especially in applications like autonomous driving, robot navigation, and intelligent surveillance. …”
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Mucosa-associated lymphoid tissue (MALT) lymphoma of the stomach: features of pathomorphological diagnostics by V. A. Tumanskiy, V A. Shavrin

“…On the base of our own observations and literature data it was determined that the distinctive pathologic features of MALT-lymphoma of the stomach are the presence of a dense diffuse lymphocytic infiltrate of centrocyte-like tumor cells of marginal zone (small cells resembling centrocytes with distinct bright rim of cytoplasm, with small nuclei of irregular shape, sometimes – split, containing coarse chromatin and indistinct nucleoli) in the lamina propria between the reactive lymph follicles and glands of the mucous membrane, monocytoid B-lymphocytes characterized by clear cell borders, broad light cytoplasm and bean-like nucleus, plasma cells, which may contain Dutcher bodies – intranuclear inclusions of immunoglobulins; single large centroblast-like or immunoblast-like cells having round-oval or slightly irregular in shape nuclei with 1-3 nucleoli, or vesicular-like round in shape nuclei with compact, centrally located nucleolus; small lymphocytes. …”
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Novel Approach Methodologies in Modeling Complex Bioaerosol Exposure in Asthma and Allergic Rhinitis Under Climate Change by Esra Atalay-Sahar, Ece Yildiz-Ozturk, Su Ozgur, Arzu Aral, Emre Dayanc, Tuncay Goksel, Ralph Meuwissen, Ozlem Yesil-Celiktas, Ozlem Goksel

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PENGARUH SALES PROMOTION, SERVICE QUALITY DAN CUSTOMER EXPERIENCE TERHADAP REPURCHASE INTENTION PADA PENGGUNA LAYANAN SHOPEEFOOD DI KOTA SURABAYA by Stevi Cris Angeline, Christina Whidya Utami

“…This is supported by research by a digital research company in 2021 which shows data on user platforms for ordering food and drinks online delivery orders via ShopeeFood reaching 28% which is still far from competitors like GrabFood at 82% and GoFood at 71%. …”
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Leveraging Machine Learning for Accurate and Fast Stellar Mass Estimation of Galaxies by Vahid Asadi, Akram Hasani Zonoozi, Hosein Haghi, Fatemeh Abedini, Atousa Kalantari, Marziye Jafariyazani, Nima Chartab

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Morphometric and morphological characteristics of the trigeminal ganglion of rats in an experimental model of aseptic inflammation and introduced cryopreserved placenta by O.D. Danyliv, V.I. Shepitko, Ye.V. Stetsuk, N.V. Boruta

“…Histological sections were studied in a light Biorex 3 microscope with a digi­tal camera using software adapted for research. Statistical data processing was performed using Microsoft Office Excel. …”
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Healthcare-Associated Infections: The Role of Microbial and Environmental Factors in Infection Control—A Narrative Review by Andreea M. Sandu, Mariana C. Chifiriuc, Corneliu O. Vrancianu, Roxana-E. Cristian, Cristina F. Alistar, Marian Constantin, Mihaela Paun, Alexandru Alistar, Loredana G. Popa, Mircea I. Popa, Ana C. Tantu, Manuela E. Sidoroff, Mara M. Mihai, Andreea Marcu, George Popescu, Monica M. Tantu

“…Artificial intelligence and machine learning systems offer promising predictive capabilities in processing large volumes of clinical, microbiological, and patient data but require robust data integration. …”
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EVALUATING CAUSES OF ROAD FAILURE ALONG KM 5, ADO-IKERE-EKITI ROAD, SOUTHWESTERN NIGERIA by Ajayi, C. A., Abdu-Raheem, Y. A., Talabi, A. O., Ilugbo S.O.

“…The 2-D subsurface resistivity structures of the failed portion of the road were obtained by processing and interpreting the data obtained from the ERT quantitatively employing the inverse modeling with DIPRO for Windows software. …”
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Balancing tech and humanity by Linda Cottone

“…The use of AI in identification processes raises concerns about wrongful identification, privacy breaches, and discrimination, especially when sensitive data is processed without human oversight. …”
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Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis by Si-Wa Chan, Chun-An Lin, Yen-Chieh Ouyang, Guan-Yuan Chen, Chein-I Chang, Chin-Yao Lin, Chih-Chiang Hung, Chih-Yean Lum, Kuo-Chung Wang, Ming-Cheng Liu

“…The methodology involved several steps: acquisition of multi-b-value IVIM-DWI images, image pre-processing, including correction for motion and intensity inhomogeneity, treating the multi-b-value data as hyperspectral image stacks, applying hyperspectral techniques like band expansion, and evaluating three tumor detection methods: kernel-based constrained energy minimization (KCEM), iterative KCEM (I-KCEM), and deep neural networks (DNNs). …”
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Auditory cortical detection and discrimination correlates with communicative significance. by Robert C Liu, Christoph E Schreiner

“…Plasticity studies suggest that behavioral relevance can change the cortical processing of trained or conditioned sensory stimuli. …”
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Discovery of 15 New Pulsars at High Galactic Latitudes with FAST by Xin Xu, Shi Dai, Qijun Zhi, Juntao Bai, Joanna Berteaud, Francesca Calore, Maïca Clavel, Weiwei Zhu, Di Li, Rushuang Zhao, Renxin Xu, Guojun Qiao

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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…Graphical representations of different measures like Dice, specificity and sensitivity validate the fact that ARU-Net excels in terms of healthy-tissue differentiation and that PLU-Net is accurate in the delineation of tumour core. …”
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Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems by Vinuja Ranasinghe, Nuwan Udara, Movindi Mathotaarachchi, Tharindu Thenuwara, Dileeka Dias, Raj Prasanna, Sampath Edirisinghe, Samiru Gayan, Caroline Holden, Amal Punchihewa, Max Stephens, Paul Drummond

“…We examine its effectiveness in generating a meaningful warning window for the New Zealand-based decentralised EEW sensor network implemented by the CRISiSLab operating with the adapted Propagation of Local Undamped Motion (PLUM)-based earthquake detection and node-level data processing. LoRa, popular for low-power, long-range applications, has the disadvantage of long transmission time for time-critical tasks like EEW. …”
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Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric Vehicles by Sameer Qazi, Bilal A. Khawaja, Abdullah Alamri, Abdulrahman AlKassem

“…These EVs will depend on smart grids (SGs) for their charging requirements. Like EVs, SGs are a booming market. In 2021, SG technologies were valued at USD 43.1 billion and are projected to reach USD 103.4 billion by 2026. …”
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Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review by Louis Agha-Mir-Salim, Isabelle Rose Alberto, Nicole Rose Alberto, Leo Anthony Celi, Pia Gabrielle Alfonso, Rachel Hicklen, Katelyn Legaspi, Rajiv Hans Menghrajani, Faye Yu Ng, Patricia Therese Pile, Christopher M Sauer

“…Analysis revealed a predominance of low-complexity technologies, such as electronic checklists, with limited exploration of advanced solutions like natural language processing. Most studies were in the pilot stage (33/53, 62%), while some described documented implementations (11/53, 21%). …”
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Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover by Tao He, Jianyu Chen, Linchong Kang, Qiankun Zhu

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Evaluation and prioritization of food safety risks in the Nigerian red meat industry by Ismail Ayoade Odetokun, Damilola Christiana Olawoye, Akeem Adebola Bakare, Tajudeen Opeyemi Isola, Nma Bida Alhaji, Oluwadamilola Olawumi Abiodun-Adewusi, Taiwo Adeniyi Adewoye, Hama Cisse, Ibraheem Ghali-Mohammed

“…Abstract Food safety is a global concern, particularly in developing countries like Nigeria. Hence, this study aims to identify and rank food safety priorities in the red meat industry in Ilorin, Northcentral Nigeria, as a first step towards targeting interventions and resource allocation. …”
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