Fear of aging among young people by Danijela Lahe, Maja Hmelak

“…The data collection was carried out using the method of improbable (occasional) sampling. To ensure representativeness, data were weighted by gender. …”
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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

“…Fraud detection in e-markets is increasingly challenging due to the scale and complexity of multi-aspect data streams. This study introduces SATrade, an unsupervised and scalable approach for real-time anomaly detection in big multi-aspect data streams. …”
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Factors influencing vaccine hesitancy toward non-covid vaccines in South Asia: a systematic review by Sophie C.W. Stuetzle, Matthew Willis, Ewelina Julia Barnowska, Ann-Kristin Bonkass, Anil Fastenau

“…Abstract Declared as one of the ten most pressing threats to global health in 2019, the complexity around vaccine acceptance and hesitancy has once again gained great momentum following the COVID-19 pandemic. …”
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Multimodal neural network for enhanced protein stability prediction by integration of contact scores and spatial maps by G Gladstone Sigamani, P.M. Durai Raj Vincent

“…This work contributes to the broader effort to enhance computational models for protein stability prediction, underscoring the need for balanced complexity in model design. The dataset was modeled via AlphaFold, followed by refinement with amber relaxation to ensure that the resultant 3D models of the variants were both structurally accurate and energetically feasible. …”
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Utilization of aspen DMC3 in process control of crude distillation unit (CDU) by Bol Ram, Z Ahmad, N Md Nor

“…These challenges, coupled with the inherent complexity of the Crude Distillation Unit (CDU), demand advanced control strategies to ensure stable and efficient operation. …”
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Lattice-Based Certificateless Proxy Re-Signature for IoT: A Computation-and-Storage Optimized Post-Quantum Scheme by Zhanzhen Wei, Gongjian Lan, Hong Zhao, Zhaobin Li, Zheng Ju

“…Furthermore, the scheme significantly reduces computational overhead and optimizes signature storage complexity through structured compression techniques, facilitating deployment on resource-constrained devices like Internet of Things (IoT) terminals. …”
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Analyzing Chemical Decay in Environmental Nanomaterials Using Gamma Distribution with Hybrid Censoring Scheme by Hanan Haj Ahmad, Dina A. Ramadan, Mohamed Aboshady

“…Additionally, we utilize the Markov chain Monte Carlo technique within the Bayesian framework to ensure robust parameter estimation. Through simulation studies and statistical tests—such as Chi-Square, Kolmogorov–Smirnov, and others—we assess the Gamma distribution’s fit and compare its performance with other distributions, validating the proposed model’s effectiveness.…”
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Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis. by Leonardo V Castorina, Filippo Grazioli, Pierre Machart, Anja Mösch, Federico Errica

“…Understanding the interaction between T Cell Receptors (TCRs) and peptide-bound Major Histocompatibility Complexes (pMHCs) is crucial for comprehending immune responses and developing targeted immunotherapies. …”
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Application of Classical and Genomic Cryptography on Textual Dataset by İbrahim Türkoğlu, Alev Kaya

“…These factors include the file format used, the volume and complexity of the data. Additionally, the key system and application platform (software and hardware) also affect performance. …”
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An efficient enhanced stacked auto encoder assisted optimized deep neural network for forecasting Dry Eye Disease by Steffi Rajan, Suresh Ponnan

“…The present study enhances prediction functions by extracting MGD-related features and complicated relationships from the DED dataset. To ensure essential feature identification, the ESAE minimizes irrelevant and redundant features. …”
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GuardianMPC: Backdoor-Resilient Neural Network Computation by Mohammad Hashemi, Domenic Forte, Fatemeh Ganji

“…Our experimental results for multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) assess GuardianMPC’s time complexity and scalability across diverse NN model architectures. …”
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Hybrid multi-objective node deployment for energy-coverage problem in mobile underwater wireless sensor networks by Salmah Fattah, Ismail Ahmedy, Mohd Yamani Idna Idris, Abdullah Gani

“…Moreover, MOGA-AMPazy ensures maximum global convergence and has less computational complexity. …”
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Development of a Method for the Synthesis of Ammoniacal Niobium Oxalate Trihydrate for Use as a Precursor in Chemical Reactions by Vitor Manoel Silva Fernandes de Souza, Vinícius Gomes de Sousa Duarte, Kivia Fabiana Galvão Araújo, Maria José dos Santos Lima, Gerlânea Silva Oliveira, Sibele Berenice Castella Pergher, Uilame Umbelino Gomes

“…The synthesis was based on physical and chemical processes, including fusion, decantation, filtration, and complexation, using niobium pentoxide and potassium bisulfate. …”
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Patient safety competency and educational needs of nursing educators in South Korea. by Haena Jang, Nam-Ju Lee

“…They reported educational needs of "medication" and "infection prevention" as being higher and "human factors" and "complexity of systems" as being lower. Nursing educators desired different types of education for patient safety.…”
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Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications by Rasheed Mohammad, Omer S. Alkhnbashi, Mohammad Hammoudeh

“…This gap is largely due to challenges like the lack of suitable training datasets, the diversity of Arabic dialects, and the language’s structural complexity. In this study, a panel of medical experts evaluated responses generated by LLMs, including ChatGPT, for Arabic healthcare inquiries, rating their accuracy between 85% and 90%. …”
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Institutional Principles of Formation and Implementation of Ukrainian Tax Policy by Kaneva Tetiana V., Teslia Ruslan D.

“…The multidimensionality and complexity of tax policy is emphasized, which ensure its flexibility and adaptability. …”
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A Lightweight Deep Learning Network with an Optimized Attention Module for Aluminum Surface Defect Detection by Yizhe Li, Yidong Xie, Hu He

“…Furthermore, we employed the genetic K-means algorithm to optimize prior region selection, and a lightweight Ghost model to reduce network complexity by 14.3%, demonstrating the superior performance of the Ghost model in terms of loss function optimization during training and validation as well as in terms of detection accuracy, speed, and stability. …”
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Challenges of projectification in an engineering school: Lessons learned and room for improving the whole performance of the institution by Claudette El Hajj, Germán Martínez Montes

“…Academic staff is not exempt from the need for permanent training, and it is necessary to incorporate project management and its principles to capacity-building programs to ensure their best performance.…”
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Unveiling the art of video enhancement: a comprehensive examination of content selection and sequencing for optimal quality in conventional and AR/VR environments by Mehrunnisa, Mikolaj Leszczuk, Dawid Juszka

“…Adherence to technology-driven, inclusive, and collaborative approaches leads to a better outcome that ensures productivity.…”
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INSTITUTIONAL CAPACITY FOR THE DEVELOPMENT OF TEAM MANAGEMENT IN THE CIVIL SERVICE MANAGEMENT SYSTEM IN UKRAINE UNDER MARTIAL LAW by Nataliia Larina, Ihor Zbihlei

“…This is due to the complexity of the tasks faced by civil servants under martial law in Ukraine and the prospects for transformational changes in public administration in the post-war period, as well as in the context of Ukraine's integration processes into the European community. …”
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