Health education interventions for individuals with visual or hearing impairment: a scoping review by Sohyun Jin, Geumbo Ko, Youngshin Song

“…Abstract Background Visual impairment refers to a deficiency in one or more functions of the visual system, while hearing impairment refers to a loss of auditory function, defined either by its impact on communication and daily activities or by clinical thresholds of hearing ability. …”
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Biochemical, nutritional, and nutraceutical properties of cactus pear accessions by Yazgan Tunç, Mehmet Yaman, Kadir Uğurtan Yılmaz, Ali Khadivi, Daya Shankar Mishra

“…These findings contribute valuable insights for the conservation and utilization of wild cactus pear genetic resources, supporting the development of functional food products and sustainable cultivation strategies in Mediterranean climates.…”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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Metaanalyzing Foucault’s Archaeology Theory by Masoud Zare Mehrjardy, Ali Yousofi, Saeideh Mirabi

“…In this paper, Foucault’s archeology was analyzed through a meta-theoretical approach based on a combined model. This model is a selection of Ritzer’s meta-theoretical logic (including four external-social, internal-social, external-intellectual, and internal-intellectual approaches) and Chalabi’s conceptual package (including four analytical elements of theory including theory-building equipment, theoretical claims range, theoretical functions, and Theoretical construction). …”
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A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

“…The current work utilizes a novel Greylag Goose Optimization algorithm for optimal selection of the network hyperparameters. For checking the effectiveness of the suggested method, an open-source dataset was applied, which recorded the traffic of CAN using a real vehicle throughout injection attacks of message. …”
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

“…Abstract Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. …”
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Ranking economic and environmental performance of feedstocks used in bio-based production systems by Dania Muhieddine Orfali, Samir Meramo, Sumesh Sukumara

“…Nonetheless, this designed data source is the first step for reliable feedstock selection based on sustainability criteria.…”
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“Breaches” in the VKP(b) Okrug Organization in the Summer of 1929 – Summer of 1930 (Based on the Materials of Vyatka Okrug of Nizhny Novgorod Krai) by Yuri N. Timkin

“…The article examines the formation and functioning of the Vyatka Okrug VKP(b) organization in 1929–30, when radical transformations began in the country, primarily in the socio-economic sphere. …”
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SIMPLE: Simple Intensity Map Producer for Line Emission by Maja Lujan Niemeyer, José Luis Bernal, Eiichiro Komatsu

“…Simple can be applied to any spectral line sourced by galaxies. The Simple code is based on lognormal mock catalogs of galaxies including positions and velocities and assigns luminosities following the luminosity function. …”
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Comparative efficacy of robotic exoskeleton and conventional gait training in patients with spinal cord injury: a meta-analysis of randomized controlled trials by Shengye Liu, Fangyuan Chen, Jianqiao Yin, Guanqi Wang, Liyu Yang

“…Study selection Eligible randomized controlled trials contained information on the population (SCI), intervention (REGT), and outcomes (walking speed and distance, walking balance, functional scores for SCI rehabilitation, respiratory function). …”
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Przyswajanie zawczasu niezbędnych umiejętności, czyli o funkcji socjalizacyjno-przygotowawczej dawnych zabawek dziecięcych by Dorota Żołądź-Strzelczyk, Katarzyna Kabacińska-Łuczak

“…Based on the interpretations resting on selected source materials, it can be concluded that the socialization function of the toy was, albeit indirectly, known to many philosophers and pedagogues. …”
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Advances in the Application of Anthocyanin-based Smart Packaging Films for Food Preservation by Ying SUN, Peizhao LI, Shen LIU, Xing GUO, Binglin LU, Lianzhou JIANG, Shuping LIU

“…First, the chemical properties of anthocyanins are discussed to explain the principle of color change, then the source differences of anthocyanin, extraction methods, and the selection of film forming matrix of anthocyanin intelligent packaging film are discussed, and the construction of anthocyanin intelligent packaging film is sorted out. …”
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FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

“…The software using C++ is developed for the parametric identification and simulation of the functioning of the dynamic neighborhood model under consideration. …”
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Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration by Jinyuan Zhang, Xuning Qiao, Yongju Yang, Liang Liu, Yalong Li, Shengnan Zhao

“…Additionally, it combines the ’Three-dimensional Rubik’s Cube model with primary functional zoning to enhance the optimization of ecological security delineation. …”
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The Pore Diffusion Coefficient of Iodide Ion in Rock Samples Using X-ray K-edge Imaging by Jiujiang ZHAO, Zhe WANG, Zhidu ZHANG, Hong ZHAO

“…When the contamination source is removed after remediation, the contaminated porewater can be a long-term contamination source to the groundwater in fractures via back diffusion. …”
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SIU-ICUD: Principles and Outcomes of Focal Therapy in Localized Prostate Cancer by Alessandro Marquis, Jonathan Olivier, Tavya G. R. Benjamin, Eric Barret, Giancarlo Marra, Claire Deleuze, Lucas Bento, Kae J. Tay, Hashim U. Ahmed, Mark Emberton, Arnauld Villers, Thomas J. Polascik, Ardeshir R. Rastinehad

“…Cancer control rates vary by energy modality, tumor characteristics, and institutional experience, demonstrating comparable outcomes to radical treatments in well-selected patients. The safety profile is excellent, with high rates of urinary continence and sexual function preservation. …”
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Evaluation of Self-Regulating Doped Ferrite Nanoparticles with Glucose, Chitosan, and Poly-Ethylene Glycol Coatings for Hyperthermia and Dual Imaging by Negri A, Conti A, Milan E, Forlin E, Gherlinzoni F, Morana G, Gottardi M, Matteazzi P, Speghini A, Bongers A, Marzola P

“…Following intravenous administration, MRI and MPI functionalities were analyzed through phantom studies and in vivo murine models.Results: Coated M55 NPs displayed high colloidal stability in water and effective functionalization. …”
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Sensitivity and Specificity of Three Measures of Intrinsic Capacity in Older People Aged 80 and Over in Nursing Homes by Ma L, Zheng E, Fang Y, Chen H, Zhou C, Cai S, Luo F, Jiang W, Wang J, Ning X, Tu H, Yin Z

“…IC spans five function domains: Locomotor, psychological, cognitive, vitality, and sensory (including vision and hearing). …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Information Assisted Dictionary Learning for fMRI Data Analysis by Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas

“…Moreover, it can cope efficiently with uncertainties in the modeling of the hemodynamic response function. In addition, the method bypasses one of the major drawbacks of the DL methods; namely, the selection of the sparsity-related regularization parameters. …”
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