Molecular Characterization of <i>Philometra obladae</i> (Nematoda: Philometridae) in Juvenile <i>Oblada melanura</i> (Linnaeus, 1758) from the Tyrrhenian Sea off Sicily, Italy by Giovanni De Benedetto, Kristian Riolo, Emanuela Sturiale, Alessia Giannetto, Gabriella Gaglio

“…Partial sequences of both markers were submitted to GenBank. …”
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Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches by Giorgia Ghione, Vincenzo Randazzo, Eros Pasero, Marco Badami

“…Thus, this work proposes using a partially observable MDP (POMDP) for hourly CHP dispatch scheduling to address this partial observability. …”
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Interchangeability of hunts as a factor of sustainability of hunting use by S. P. Matveytchuk, I. A. Grebnev

“…The structural elements of this definition determine the algorithm of practical survey, which is necessary at the design stage of changing the protection regime and the use of hunting resources. …”
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A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

“…This study introduces two novel PAPR reduction techniques: a hybrid approach combining the Improved Salp Swarm Algorithm (ISSA) with Partial Transmit Sequence (PTS) and an innovative Iterative Sub-block Phase Rotation (ISPR) method. …”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

“…The proposed method integrates discrete wavelet transform (DWT) for multi-scale feature extraction, a novel reduced kernel partial least squares (Red-KPLS) algorithm for feature reduction, and ResNet-50 for classification. …”
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Universal Modeling for Non-Destructive Testing of Soluble Solids Content in Multi-Variety Blueberries Based on Hyperspectral Imaging Technology by Lingqi Meng, Guoliang Chen, Dayang Liu, Ning Tian

“…The characteristic wavelengths were optimized in stages by uninformative variables elimination (UVE) and the successive projections algorithm (SPA), and the model was simplified by multiple linear regression (MLR). …”
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The Parabolic Variational Inequalities for Variably Saturated Water Flow in Heterogeneous Fracture Networks by Zuyang Ye, Qinghui Jiang, Chi Yao, Yanzhang Liu, Aiping Cheng, Shibing Huang, Yaning Liu

“…This paper presents a systematic numerical method which aims to provide a better understanding of the effect of fracture distribution on the water seepage behavior in such media. Based on the partial differential equation (PDE) formulations with a Signorini-type complementary condition on the variably saturated water flow in heterogeneous fracture networks, the equivalent parabolic variational inequality (PVI) formulations are proposed and the related numerical algorithm in the context of the finite element scheme is established. …”
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Non-Destructive Detection of Fillet Fish Quality Using MQ135 Gas Sensor and Neutrosophic Logic-Enhanced System by M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

“…Artificial intelligence algorithms were employed to predict quality and calculate regression coefficients. …”
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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

“…In the first step, the data was split into training and testing sets via the Kernard-Stone algorithm to determine the appropriate pretreatments for the NIR spectra. …”
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Exploring the role of organisational learning culture in the relationship between teamwork self-efficacy and employee satisfaction: Insights from the Indian IT Sector across genera... by A. Shakti Priya, B. Prabu Christopher

“…The data were analyzed using partial least squares–structural equation modeling (PLS-SEM), followed by PLS predict algorithm. …”
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Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…To enhance feature selection, the competitive adaptive reweighted sampling (CARS) algorithm was applied to reduce redundant information, identifying 100 key wavelengths from an initial set of 774. …”
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A warning model for predicting patient admissions to the intensive care unit (ICU) following surgery by Li Li, Hongye He, Linjun Xiang, Yongxiang Wang

“…LASSO regression and random forest algorithms were used to screen clinical variables related to postoperative ICU admission. …”
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A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception by Hao Ren, Liu Yang, Hong-yuan Chang, Tieshan Zhang, Gen Li, Xiong Yang, Yifeng Tang, Wanfeng Shang, Yajing Shen

“…Its scalable plug-and-play capability, combined with an tactile perception algorithm, ensures seamless integration across various robots for diverse tasks. …”
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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…Primarily, the contribution of this study is to classify vaccine acceptability into Low, Medium, Partial High, and High categories. Secondly, this study implements the Feature Importance method to make the model highly interpretable for healthcare providers. …”
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Psychometrics of the questionnaire on the intention to use medicinal plants in patients with type 2 diabetes based on the developed theory of planned behavior by Batool Yamani Ardakani, Vali Bahrevar, MoradAli Zareipour, Mojtaba Fattahi Ardakani, Razieh Nabimeybodi

“…Data analyzed via confirmatory factor analysis method using Smart PLS software (partial least squares structural equation modeling [PLS-SEM]) was used to confirm the structure of the questionnaire. …”
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Multi-objective optimization of residential energy-saving design based on fuzzy multi-criteria decision-making behavior model by Suzhen Pei, Gaoxiang Chen, Jian Yao, Yichen Dang

“…This study introduces a multi-objective optimization framework based on a Fuzzy Multi-Criteria Decision-Making (FMCDM) behavioral model. The NSGA-II algorithm is applied to optimize building envelope configurations, targeting three objectives: minimizing per-unit-area energy consumption, reducing energy disparities across residential units, and lowering annual discomfort hours. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…While DDPMs usually denoise images containing pure noise to generate an original image, we utilize a partial diffusion approach to preserve the image structure. …”
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Adjoint-based RCS surface sensitivity calculation for very large electrical size object by Jun Deng, Zhenghong Gao, Lin Zhou, Ke Zhao, Jiangtao Huang, Wei Zhang

“…To address these challenges, we developed a surface sensitivity technique based on the multilevel fast multipole algorithm (MLFMA). An access and storage of sparse partial derivative tensor was improved to significantly enhanced the computation performance. …”
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Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach by s Manjunatha, Khalil Ur Rehman, Wasfi Shatanawi, Tanuja T N

“…The flow of ternary nanofluid is caused due to stretching inner cylinder with stationary outer cylinder. The nonlinear partial equations are derived for the flow model and reduced to non-linear ordinary differential equation by applying suitable similarity transformation. …”
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Trauma, personality structure and psychopathology: a cartography of psychodynamic constructs by Jürgen Fuchshuber, Victor Blüml, Nestor Kapusta, Henriette Löffler-Stastka, Johanna Alexopoulos, Elisa Renner, Hugo Senra, Human-Friedrich Unterrainer

“…A cross-sectional network between personality organization [IPO-16], hypomentalizing [RFQ-6], attachment [ECR-RD8]), primary affective traits [BANPS-GL], depression, anxiety and somatization symptoms [BSI-18], addiction [WHO-ASSIST] and childhood trauma [CTQ] was estimated via the EBICglasso and relimp algorithm. Regularized partial correlation edge weights, node centrality, predictability, bridge centrality, relative importance and stability coefficients were analyzed. …”
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