A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting by Bin Li, Yuqing He

“…Consequently, the FEB-LCR-ACM achieves sufficiently good performance for the LHV prediction with a lightweight deep learning architecture based on the typical small datasets, and then it is supposed to overcome the operational nonlinearity, dynamics, coupling, and complexity of CTHS partially.…”
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Games and gamers: the influence of participating players on the process and outcome of regional spatial energy games by Hartmut Dumke, Pia Nabielek

“…The paper closes with three concluding recommendations: It is important to pay attention to player’s attributes as well as to constellations of players since they influence game experience (outcome) and achieved scenario (output). Player’s attributes and constellations can partly explain differences in game results, but more empirical work on the influence of players and games on the results is necessary. …”
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Comorbidities And Reducing InEquitieS (CARES): Feasibility of self-monitoring and community health worker support in management of comorbidities among Black breast and prostate can... by Laura C. Schubel, Ana Barac, Michelle Magee, Mihriye Mete, Malinda Peeples, Mansur Shomali, Kristen E. Miller, Lauren R. Bangerter, Allan Fong, Christopher Gallagher, Jeanne Mandelblatt, Hannah Arem

“…Once weekly self-recording of BP and BG was achieved in 92 % of individuals (with hypertension) and 77 % of individuals (with diabetes and hypertension). …”
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‘Health Camp’ model: a unique approach for child vaccination in non-state armed actor controlled, inaccessible geographies in Somalia by Mohamed Hussein Kahow, Salad Ahmed Halane, Asma Ali, Rashed Shah

“…The project underscores the critical role of local community-based organizations and clan elders in reaching inaccessible populations through humanitarian negotiation amidst security challenges. The project has achieved significant milestones aligned with national health strategic plans, including progress towards universal health coverage and improved immunization access in Somalia’s most challenging regions.…”
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Level measurement, regional variations, and the dynamic evolution of active aging in China—analysis based on CHARLS tracking data by Jiru Guo, Xiaoli Zhang, Xiaoli Zhang, Longyin Chen, Hong Yang

“…Local governments should not only fully leverage their regional advantages but also interact with other regions to achieve cross-regional joint development.…”
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Experimental Research on Fracture Characteristics of Reactive Powder Concrete in Different Volume Content of Steel Fiber by Wenzhen Wang, Haixiao Lin, Xiaogang Wu, Yuyao Zhao, Ziyu Hu, Pengshuai Wang, Menglong Zhou

“…Based on the experimental results and fracture mechanics theory, the mechanical property of reactive powder concrete, fracture energy, ductility index, initial fracture toughness, and unstable fracture toughness are quantitatively and qualitatively analyzed. The research achievements indicate that there is a stable crack propagation process before the instability failure of the three-point bending beam specimen of reactive powder concrete. …”
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The operational readiness factor of satellite communication networks by T. E. Gelfman, A. P. Pirkhavka

“…The reliability of networks with ring and radial topology was compared in terms of the operational readiness factor.Conclusions. To achieve a higher reliability, it is necessary to use an SCN with a radial structure. …”
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Development of an advanced multimode refractive index plasmonic optical sensor utilizing split ring resonators for brain cancer cell detection by Ali Khodaie, Hamid Heidarzadeh, Farrokhfar Valizadeh Harzand

“…Through detailed parametric analysis, we optimize critical dimensional parameters to achieve superior performance. The novelty of this work lies in the dual-mode sensing mechanism, which enables robust detection by exploiting the resonance characteristics of gold, silver, and aluminum. …”
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Integrated care teams in primary care improve clinical outcomes and care processes in patients with non-communicable diseases by Pei Lin Hu, Cynthia Yan-Ling Tan, Ngoc Hoang Long Nguyen, Rebekah Ryanne Wu, Juliana Bahadin, Nivedita Vikas Nadkarni, Ngiap Chuan Tan

“…The ICT cohort was more likely to achieve treatment goals for systolic blood pressure (SBP) (adjusted odds ratio [AOR] = 1.52, 95% confidence interval [CI] = 1.38–1.68), low-density lipoprotein cholesterol (AOR = 1.72, 95% CI = 1.49–1.99), and glycated haemoglobin (AOR = 1.28, 95% CI = 1.09–1.51). …”
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Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis by Ao Song, Wanli Yang, Jun Wang, Yisa Cai, Lizheng Cai, Nan Pang, Ruihua Yu, Zhikun Liu, Chao Yang, Feng Jiang

“…The analysis of the receiver operating characteristic (ROC) curve demonstrated that the area under the curve (AUC) exceeded 0.95 for all models, with the LDA model achieving an accuracy rate of 99.4% in identifying lung cancer patients compared to healthy individuals. …”
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The use of specialised Sheff-Vax ACF supplements for ВНК-21/SUSP/ARRIAH cell cultivation and FMDV reproduction by M. S. Guseva, M. I. Doronin, A. A. Shishkova, D. V. Mikhalishin, M. A. Shevchenko, B. L. Manin

“…Compliance with the existing purity and safety requirements for immunobiologicals can be effectively achieved by the use of serum-free nutrient media and specialised supplements of non-animal origin. …”
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Binder jet 3D printing of 316L stainless steel: A Taguchi analysis of the dependence of density and mechanical properties on the printing parameters by M. Zago, G. Segata, M. Perina, A. Molinari

“…The results showed that green density ranged from 51.3% ± 0.9%–57.0% ± 0.9%, while a sintered density of 98.6% ± 0.08% was achieved. Mechanical testing revealed green strengths between 1.8 ± 0.1 MPa and 6.1 ± 0.8 MPa, while tensile tests provided yield strength of 175.1 ± 3.5 MPa, ultimate tensile strength (UTS) of 532 ± 9.7 MPa, and elongation at break of 87.7% ± 7.5%.ANOVA analysis indicated a statistically significant effect of the dark body (binder saturation) on density and mechanical properties. …”
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Cyber Threat Inference Focused on Threat Class Sequence With Threat Class Sequence System by Hyoungjun Kim, Jae-Yeol Kim, Kyung-Ho Lee

“…Various experimental results demonstrate the superiority of TCSS over comparable methods, achieving an impressive 98.73% post-connection attack detection rate. …”
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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…From the analysis results, it shows that RFR, ANN, and SVR achieved coefficient of determination (R2) of 20%, 25%, and 35%, respectively. …”
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SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence by G. Sathish Kumar, E. Suganya, S. Sountharrajan, Balamurugan Balusamy, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan

“…The proposed SRADHO algorithm achieves 98.2% of accuracy, 97.2% of precision rate, 98.3% of recall rate and 98.1% of F1-Score value with 0.3% of error rate. …”
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Assessment of degraded lands in the Ile-Balkhash region, Kazakhstan by Sanim Bissenbayeva, Ruslan Salmurzauly, Ruslan Salmurzauly, Aigul Tokbergenova, Nazym Zhengissova, Jialuo Xing

“…This study aims to evaluate the dynamics and risk rates of desertification, as well as its severity, in the Ile-Balkhash region. To achieve the set goal of objectives, a variety of methods were employed, including desertification divided index (DDI) for the identification of desertification dynamics, correlation analysis for the detection of relationships between different indicators, and Principal Component Analysis (PCA) for the modelling of the desertification risk rate in the study area. …”
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The Analyze Comparative of Physics Computational Thinking Skill (CTs) in Experiment Laboratory by Suritno Fayanto, Sul Daeng Naba, Aris Kurniawan, Utami Putri, Veronika Dua Padang

“…Physics and Physics Education stood out with exemplary achievements, while Geography and Mining Engineering also showed good progress. …”
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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

“…The newly developed EXTEMPLAR‐ML model allows for exospheric temperature predictions at any location with one model and provides performance improvements over its predecessor. We achieve reductions in mean absolute error of 2 K on an independent test set while providing similar error standard deviation values. …”
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Larvas urticantes (Lepidoptera) asociadas con cultivos hortícolas en Cerro Punta, Chiriquí, Panamá by Rubén Collantes González, Alonso Santos Murgas, Javier Pitti Caballero, Randy Atencio Valdespino, Anovel Amet Barba Alvarado, José Fernando Cardona Nicosia

“…De acuerdo con los resultados, las larvas encontradas en los cultivos correspondieron a Leucanella hosmera (Schaus, 1941) (Saturniidae), Halysidota tessellaris (Smith, 1797) (Erebidae), Acharia stimulea (Clemens, 1860) (Limacodidae) y se encontró un espécimen adulto de Megalopyge opercularis (Smith, 1797) (Megalopygidae) en una pared. …”
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IMCMK-CNN: A lightweight convolutional neural network with Multi-scale Kernels for Image-based Malware Classification by Dandan Zhang, Yafei Song, Qian Xiang, Yang Wang

“…Experimental results show that IMCMK outperforms the state-of-the-art methods in malware family classification accuracy, which has achieved 99.25 %.…”
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