Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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THE EFFECTIVENESS OF TECHNOLOGY-BASED NON-CLINICAL COMMUNITY INTERVENTIONS TO REDUCE LONELINESS IN THE ELDERLY: A LITERATURE REVIEW by Wahyu Agustin Eka Lestari

“…Introduction: The condition of the elderly who experience various declines in biological and psychological functions can affect mobility and social contact, one of which is a sense of loneliness (loneliness). …”
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The missing cue problem in hetero associative memory retrieval by Rafael Morales, Luis A. Pineda

“…Abstract The Entropic Associative Memory is an auto-associative memory in which objects are represented and stored as discrete functions or “traces” in a table, so the memory content is a 2D relation or “memory plane”. …”
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Faeces, Feathers and Flight: Understanding of Escape Behaviour in Incubating Eurasian Woodcocks (Scolopax rusticola) by Martin Sládeček, Kateřina Brynychová, Lucie Nutilová, Miroslav E. Šálek

“…In this study, we investigate this behaviour in incubating female Eurasian woodcocks (Scolopax rusticola) using a large data set of 399 photographed nests sourced from various open‐source internet platforms. …”
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Characterization of sacha inchi (Plukenetia volubilis) and taro (Colocasia esculenta) flours with potential application in the preparation of both gluten-free and high protein food... by Jesús Eduardo Bravo Gómez, Ruby Aracely Narváez Cadena, Angie Paola Salas Zambrano, Karen Sofia Muñoz Pabon, Diego Fernando Roa-Acosta

“…Staphylococcus aureus and Salmonella spp. were detected in taro flour. Conclusions Taro and sacha inchi flours have great potential for the development of functional products like protein snacks, with good expansion due to taro starch and are naturally gluten-free, making them suitable for people with celiac disease.…”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Recombinant Tissue Plasminogen Activator Induces Neurological Side Effects Independent on Thrombolysis in Mechanical Animal Models of Focal Cerebral Infarction: A Systematic Review... by Mei-Xue Dong, Qing-Chuan Hu, Peng Shen, Jun-Xi Pan, You-Dong Wei, Yi-Yun Liu, Yi-Fei Ren, Zi-Hong Liang, Hai-Yang Wang, Li-Bo Zhao, Peng Xie

“…Subgroup analysis, meta-regression and sensitivity analysis were performed to explore sources of heterogeneity. Funnel plot, Trim and Fill method and Egger's test were obtained to detect publication bias.…”
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A Comprehensive Review of Detection Methods for <i>Staphylococcus aureus</i> and Its Enterotoxins in Food: From Traditional to Emerging Technologies by Assia Mairi, Nasir Adam Ibrahim, Takfarinas Idres, Abdelaziz Touati

“…The review underscores the necessity of context-driven method selection, balancing speed, sensitivity, and resource availability. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The models combine the adaptability of Gaussian Processes with the deep learning functionalities of RBM, LSTM, and CNN to improve prediction precision and uncertainty assessment. …”
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Mechanically flexible mid-wave infrared imagers using black phosphorus ink films by Theodorus Jonathan Wijaya, Naoki Higashitarumizu, Shifan Wang, Shogo Tajima, Hyong Min Kim, Shu Wang, Dehui Zhang, James Bullock, Tomoyuki Yokota, Takao Someya, Ali Javey

“…Leveraging this flexibility, we achieve full-azimuthal imaging, detecting directional light sources with precision. …”
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Evaluating Sleep in Pediatric Cancer: A Scoping Review of Assessment Tools for Quality and Care by Elena Rostagno, Veronica Rivi, Pierfrancesco Sarti, Pietro Guastella, Dorella Scarponi, Johanna Maria Catharina Blom

“…Conclusion A wide range of tools exists for assessing sleep in pediatric oncology, each with distinct strengths and limitations. Selection of the most appropriate tool should consider the specific sleep concern, patient age, clinical context, and resource availability. …”
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Inoculant Formulation for <i>Bradyrhizobium</i> spp.: Optimizing CMC/Starch Blends for Improved Performance by Jaqueline Carvalho de Almeida, Vinício Oliosi Favero, Janaina Ribeiro Costa Rouws, Carla de Sant’Anna Freitas, Érica Barbosa de Sousa, Jéssica Feitoza da Rocha, Nainicelle Cibelle Sousa Chantre, Gustavo Ribeiro Xavier, Paulo Jansen de Oliveira, Norma Gouvêa Rumjanek

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Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing by Balabanov Alexandar, Andreeva Hristina, Danev Angel, Bosakova-Ardenska Atanaska, Ivanov Galin, Balabanova Tatyana

“…The current study presents two open-source software products – ImageJ and Scilab and their functionalities that are applied for image analysis of three samples of Kashkaval cheese, which are produced using different sodium chloride content. …”
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TRENDS IN HIGHER VOCATIONAL EDUCATION: PROFESSIONALIZATION OR DEPROFESSIONALIZATION? by Yu. R. Vishnevsky, D. Yu. Narkhov, Ya. V. Didkovskaya

“…Student population is the most important social resource of development of post-industrial information society. …”
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Impact of UAV-Derived RTK/PPK Products on Geometric Correction of VHR Satellite Imagery by Muhammed Enes Atik, Mehmet Arkali, Saziye Ozge Atik

“…Satellite imagery is a widely used source of spatial information in many applications, such as land use/land cover, object detection, agricultural monitoring, and urban area monitoring. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…Moreover, 25 participants are invited to carry out the exercise detection and analysis experiment, and the joint monitoring of their daily movements is tested. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In this method, the number of membership functions is 5 functions representing very low, low, medium, high and very high. …”
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A Fully Printable Strain Sensor Enabling Highly‐Sensitive Wireless Near‐Field Interrogation by Hassan A. Mahmoud, Hussein Nesser, Tarek M. Mostafa, Shehab Ahmed, G. Lubineau

“…Abstract Wireless, passive, and flexible strain sensors can transform structural health monitoring across various applications by eliminating the need for wired connections and active power sources. Such sensors offer the dual benefits of operational simplicity and high‐function adaptability. …”
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cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics by Tom Wagg, Katelyn Breivik, Mathieu Renzo, Adrian M. Price-Whelan

“…Alternatively, several analytic models are available for galactic potentials and star formation histories. cogsworth can also transform the intrinsic simulated population into an observed population using dust maps, bolometric correction functions, and survey selection functions. We provide a detailed explanation of the functionality of cogsworth and demonstrate its capabilities through a series of use cases: (1) we predict the spatial distribution of compact objects and runaways in both dwarf and Milky Way–like galaxies; (2) using a star cluster from a hydrodynamical simulation, we show how supernovae can change the orbits of stars in several ways; and (3) we predict the separation of disrupted binary stellar companions on the sky and create a synthetic Gaia color–magnitude diagram. …”
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Pharmacological Mechanisms of Cryptotanshinone: Recent Advances in Cardiovascular, Cancer, and Neurological Disease Applications by Zheng Z, Ke L, Ye S, Shi P, Yao H

“…Ziyao Zheng,1 Liyuan Ke,1 Shumin Ye,1 Peiying Shi,2 Hong Yao1,3 1Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, People’s Republic of China; 2Department of Traditional Chinese Medicine Resource and Bee Products, College of Animal Sciences (College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, People’s Republic of China; 3Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, Fujian Medical University, Fuzhou, 350122, People’s Republic of ChinaCorrespondence: Peiying Shi; Hong Yao, Email peiyshi@126.com; yauhung@126.com, hongyao@mail.fjmu.edu.cnAbstract: Cryptotanshinone (CTS) is an important active ingredient of Salvia miltiorrhiza Bge. …”
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