Study on Color Detection of Korla Fragrant Pears by Near-Infrared Spectroscopy Combined with PLSR by Yifan Xia, Yang Liu, Hong Zhang, Jikai Che, Qing Liang

“…The optimal detection models were determined. The results indicated that pre-processing and characteristic extraction improved the accuracy of the PLSR model. …”
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Ikigai as a Personal Resource for Work Engagement: A Cross-Sectional Study Among Nursing Trainees in Germany by Clemens Koob, Claudine M. Tomic

“…While job demands–resources theory has guided extensive research on job-related antecedents, personal resources have received comparatively less empirical attention, primarily focusing on self-efficacy, self-esteem, and optimism. This study examined the unique association between ikigai—the Japanese concept of life purpose—as a novel personal resource and work engagement in professional nursing practice, controlling for established job resources, demands, and personal resources. …”
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A Comprehensive Review of Safety Monitoring Technologies for Concrete Face Rockfill Dams Addressing the Challenges of "Three Highs, One Deep, and One Narrow" by XIAO Sheng, YANG Jie, LU Xi, ZHOU Heng, CHENG Lin, MA Chunhui, TONG Fei

“…The control methods for comprehensive deformation coordination in CFRDs are explored. …”
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A Study on the Yield Stability of Oilseed Sunflower Genotypes under Drought Stress by Nasrin Akbari, Reza Darvishzadeh

“…Therefore, taking into account the quantitative control, and the effects of the environment and the interaction of the genotype × environment, selection for this trait is complex, costly, and time-consuming. …”
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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm by Feng-Hsiag Hsiao

“…This paper presents a systematic design methodology for neural-network- (NN-) based secure communications in multiple time-delay chaotic (MTDC) systems with optimal H∞ performance and cryptography. On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems. …”
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Neural tuning instantiates prior expectations in the human visual system by William J. Harrison, Paul M. Bays, Reuben Rideaux

“…Abstract Perception is often modelled as a process of active inference, whereby prior expectations are combined with noisy sensory measurements to estimate the structure of the world. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Statistically significant metrics were selected as features, and machine learning models were used to distinguish between patients and controls. …”
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Impact of value-based care on quality of life, clinical outcomes, patient satisfaction, and enhanced financial protection among hypertensive patients in Ghana: A protocol for a mix... by Duah Dwomoh, Gifty Sunkwa-Mills, Kwasi Owusu Antwi, Maxwell Akwasi Antwi, Tobias Floris Rinke de Wit

“…Value-Based Care (VBC) is a healthcare delivery model that emphasizes improving patient outcomes while optimizing costs. …”
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Improving maize yield in newly reclaimed soils: effects of irrigation, mulching, and foliar treatments by Ahmed M. Abdelghany, A. S. Farouk, E. Sh. Alwakel, Mohamed Ebaid, Mahmoud Naser, Sobhi F. Lamlom, A. A. Shehab

“…The integration of drip irrigation, PoB foliar spray, and rice paddy straw mulching yielded superior results, improving grain yield (GY,10.0-13.08 t/ha) and biological yield (BY, 51.37–59.53 t/ha) in comparison to control treatments. The findings were validated through various multivariate analyses, such as principal component analysis (PCA), structural equation modeling (SEM), hierarchical clustering heatmap, and radar plot visualization. …”
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HEMERA 1 CarboxyHEMoglobin oxygEn delivery for Revascularization in Acute Stroke: A Prospective, Randomized Phase 1 Clinical Trial by Italo Linfante, Wayne Clark, Diogo C. Haussen, Ricardo Hanel, Rwoof Reshi, Guilherme Dabus, Ronald Jubin, Mona P. Roshan, Star Belnap, Thanh N. Nguyen, James Grotta, Robert Wicks, Marilyn J. Cipolla, David S. Liebeskind, Raul G. Nogueira

“…Background PP‐007 is a polyethylene glycol (PEG)ylated bovine carboxyhemoglobin gas transfer molecule with pleotropic cytoprotective effects, vasodilatation, plasma expansion, and optimization of oxygen delivery. Rodent middle cerebral artery occlusion models have demonstrated that PP‐007 increases blood flow in the collateral circulation and reduces final infarct volumes, supporting a potential role as neuroprotective agent in acute ischemic stroke. …”
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Practical application of correlation-regression analysis results for predicting the quality of coiled rebar products by S. A. Savchenko, A. B. Sychkov

“…Additionally, regression dependencies were established to predict the mechanical properties of rebar based on the steel’s chemical composition and technological cooling parameters. These models can be used to optimize the air-cooling process for coiled rebar products to achieve the required microstructure and mechanical properties…”
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V2X offloading and resource allocation under SDN and MEC architecture by Haibo ZHANG, Zixin WANG, Xiaofan HE

“…To address the serious problem of delay and energy consumption increase and service quality degradation caused by complex network status and huge amounts of computing data in the scenario of vehicle-to-everything (V2X),a vehicular network architecture combining mobile edge computing (MEC) and software defined network (SDN) was constructed.MEC sinks cloud serviced to the edge of the wireless network to compensate for the delay fluctuation caused by remote cloud computing.The SDN controller could sense network information from a global perspective,flexibly schedule resources,and control offload traffic.To further reduce the system overhead,a joint task offloading and resource allocation scheme was proposed.By modeling the MEC-based V2X offloading and resource allocation,the optimal offloading decision,communication and computing resource allocation scheme were derived.Considering the NP-hard attribute of the problem,Agglomerative Clustering was used to select the initial offloading node,and Q-learning was used for resource allocation.The offloading decision was modeled as an exact potential game,and the existence of Nash equilibrium was proved by the potential function structure.The simulation results show that,as compared to other mechanisms,the proposed mechanism can effectively reduce the system overhead.…”
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Identification of Haptic Based Guiding Using Hard Reins. by Anuradha Ranasinghe, Prokar Dasgupta, Kaspar Althoefer, Thrishantha Nanayakkara

“…Based on experimental identification systems on human demonstrations show that the guider and the follower experience learning for an optimal stable state-dependent novel 3rd and 2nd order auto-regressive predictive and reactive control policies respectively. …”
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Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights by Shin I. Aleksandrovich, Tyan Ramazan, Raissa Utegaliyeva, Balzat Sarimbayeva, Gaukhar Keubassova, Rakhima Bissalyyeva, Kuanysh Syman, Gaukhar Abdikarimova

“…Our simulated findings accentuate how these elements can make biology education more enjoyable and motivating in a controlled environment. Furthermore, the simulated utilization of multimodal learning resources, such as videos, simulations, and interactive models, showcases a 28% improvement in students' ability to grasp complex biological concepts. …”
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Impacts of sulfate polysaccharide JCS1S2 on retinal neovascularization in oxygen-induced retinopathy rats by Yang Bai, Rui Wang, Can Jin, Can Jin, Lili Wang, Yun Tang, Han Wang, Kan Ding, Kan Ding, Shanjun Cai

“…This study investigated the effects of Dendrobium sulfate polysaccharide JCS1S2, derived from Dendrobium chrysogenum, on oxygen-induced retinopathy (OIR) in rat models and Müller cells of the rat retina. To this end, we established an OIR rat model and divided the rats into three primary groups, namely, Group I (control), Group II (OIR), and Group III (OIR + JCS1S2). …”
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Systematic Development of Peptide-Based Biostimulants from Whey Protein Hydrolysates by Wilfried Andlauer, Nancy Nicolet, Dimitri Bocquel, Esteban Alfonso, Markus Rienth, Wolfram M. Brück

“…This project aims to develop peptide-based biostimulants in a reproducible manner, ensuring their availability for use in plant model systems under strictly controlled conditions. …”
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Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI by Md Ismail Hossain Siddiqui, Shakil Khan, Zishad Hossain Limon, Hamdadur Rahman, Mahbub Alam Khan, Abdullah Al Sakib, S M Masfequier Rahman Swapno, Rezaul Haque, Ahmed Wasif Reza, Abhishek Appaji

“…Techniques like contrast enhancement and data augmentation were employed to optimize feature extraction. The model achieved state-of-the-art performance, attaining an accuracy of 99.38 % and an F1-score of 98.49 % on the Herlev dataset and an accuracy of 98.71 % and an F1-score of 97.53 % on SIPaKMeD. …”
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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

“…The absolute error for each scenario of model instance is approximately 10−06, 10−05, 10−07, 10−05, and 10−08. …”
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Towards a universal implementation of labor companionship: a synthesis of the policy and facility environment of eight low-and-middle income countries by Soha El-Halabi, Andrea Barnabas Pembe, Alexandre Dumont, Ana Pilar Betrán, Charles Kaboré, Effie Chipeta, Guillermo Carroli, Helle Mölsted Alvesson, Hussein Kidanto, Jean-Paul Dossou, Kristi Sidney Annerstedt, Lenka Beňová, Mechthild M. Gross, Peter Waiswa, Pisake Lumbiganon, Quoc Nhu Hung Mac, Meghan A. Bohren, Claudia Hanson, Claudia Hanson

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Machine learning investigation of wavy fin using penta type nanomaterial with multiple Parameters: Computational design by Badreddine Ayadi, Adnan, Sami Ullah Khan, Mutasem Z. Bani-Fwaz, Dana Mohammad Khidhir, Muhammad Mahmood Ali, Muhammad Nasir Bashir, Mohamed Bechir Ben Hamida

“…AI (artificial intelligence) methods can be utilized to model heat transfer behavior, design optimal fin geometry, and determine the most suitable nanofluid mixtures for a particular application. …”
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