Development of a lean maturity assessment model using interval-valued spherical fuzzy AHP method by Alper Kiraz, Asiye Yücedag Gürel

“…Continuously adding value to a company's products and services is inevitable in adapting to this evolving and challenging global market. …”
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De la simulation à la simulation participative : apporter une vision intégrée de la rénovation urbaine aux aménageurs publics, à travers une démarche expérimentale by Anaïs Berry, Nicolas Becu, Onil Goubier, Nikolaos Papoulias, Nathalie Long, Didier Vye

“…The participatory simulation development is based on two phases: development of an integrated simulation model for energy consumption, then its adaptation into a participatory simulation. The numeric model allows the simulation of energy consumption of households for a set of buildings (« la Cité des Géraniums » in the district of Saint-Éloi in La Rochelle), for which an urban renewal project has been initiated in 2009. …”
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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…When improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed independently for signal denoising, the noise and feature signals of the transition components are retained or removed. …”
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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain by Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis

“…The other novelty of this work is the adaptation of boosting ensemble strategy to demand forecasting system by implementing a novel decision integration model. …”
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Regional gray matter thickness correlations of the hearing and deaf feline brains by Stephen G. Gordon, Alessandra Sacco, Stephen G. Lomber

“…As the microscale changes to cerebral morphology driving these adaptations can be reflected macrostructurally in MRI analyses, high interregional correlations in features such as gray matter thickness are potentially indicative of functional relationships. …”
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Fuzzy Approach in Rail Track Degradation Prediction by Mostafa Karimpour, Lalith Hitihamillage, Najwa Elkhoury, Sara Moridpour, Reyhaneh Hesami

“…In this research, a short review of rail track degradation prediction models has been discussed before estimating rail track degradation for the curves and straight sections of Melbourne tram track system using Adaptive Network-based Fuzzy Inference System (ANFIS) model. …”
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Examination of the physical profiles of physically handicapped female badminton players by Mehmet Fatih Yüksel

“…In control groups, disabled persons with inactive lifestyle (standing, n= 13 and wheelchair, n= 10) were included in the study. …”
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ProNDN: MCDM-Based Interest Forwarding and Cooperative Data Caching for Named Data Networking by Cong Pu

“…However, the conventional stateful forwarding approach is not adaptive and responsive to diverse network conditions because it fails to consider multiple network metrics to make Interest forwarding decision. …”
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Feature optimization-guided high-precision and real-time metal surface defect detection network by Sixian Chan, Suqiang Li, Hongkai Zhang, Xiaolong Zhou, Jiafa Mao, Feng Hong

“…The dual-branch transformation stage’s output features are adaptively merged, which may effectively lower feature information loss, improve feature expressiveness, and allow the model to collect useful feature information. …”
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Efficacy of Bluetooth-Based Data Collection for Road Traffic Analysis and Visualization Using Big Data Analytics by Ashish Rajeshwar Kulkarni, Narendra Kumar, K. Ramachandra Rao

“…With increasing number of on-board Bluetooth devices in new generation automobiles, these devices can act as sensors to convey the traffic information indirectly. …”
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Nonpharmacological Modulation of Chronic Inflammation in Parkinson’s Disease: Role of Diet Interventions by Stefania Kalampokini, Anouck Becker, Klaus Fassbender, Epameinondas Lyros, Marcus M. Unger

“…Dietary strategies should be encouraged in the context of a healthy lifestyle with physical activity, which also has neuroimmune-modifying properties. Thus, diet adaptation appears to be an effective additive, nonpharmacological therapeutic strategy that can attenuate the chronic inflammation implicated in PD, potentially slow down degeneration, and thereby modify the course of the disease. …”
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CardioMEMS in a Busy Cardiology Practice: Less than Optimal Implementation of a Valuable Tool to Reduce Heart Failure Readmissions by Robby Singh, Leon Varjabedian, Georgy Kaspar, Marcel Zughaib

“…Despite the benefits to patients and reducing healthcare expenditure, there has been a poor adaptation of this groundbreaking technology. Our study revealed that 79% of eligible heart failure patients did not receive the device. …”
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Comparison of the Effectiveness of Parent-Centered Meta-Emotional Training and Family-Centered Play Therapy in Reducing Aggression in Preschool Children by Zahra Mohammadzadeh, Molouk Khademi Ashkzari, Khadijeh Abolmaali Alhosseini

“…In the family-centered approach, the child’s more adaptive behaviors were significantly altered, and the family’s understanding of how to interact with the child was further enhanced through the use of the game. …”
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Les limites de la cartographie des risques littoraux : des perspectives pour la compréhension de tous by Aurélie Arnaud

“…With this in mind we emit some recommendations in the adaptation maps areas to end users. It has a major stake in the decision making to local actors and public communication (locals as tourists).…”
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Zero-TCE: Zero Reference Tri-Curve Enhancement for Low-Light Images by Chengkang Yu, Guangliang Han, Mengyang Pan, Xiaotian Wu, Anping Deng

“…Experimental results demonstrate that the proposed algorithm adapts better to the characteristics of images captured in low-light environments, producing enhanced images with sharp contrast, rich details, and preserved color authenticity, while effectively mitigating the issue of overexposure.…”
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Experiment Investigation on Stress Characteristics of Grouting Microsteel Pipe Piles with Cement-Soil Wall by Shujuan Yang, Mingyi Zhang, Xiaoyu Bai, Xueying Liu, Chen Zheng

“…Microsteel pipe piles are widely used in excavation support owing to their excellent bearing capacity, flexural rigidity, construction speed, and adaptability. In this study based on a project in soil-rock layers in Qingdao, China, a new type of support combining microsteel pipe piles mounted in cement-soil piles and anchors was adopted and studied. …”
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INTERNATIONAL LEGAL FRAMEWORK ON HUMAN TRAFFICKING AND CRIMINAL LIABILITY ON TRAFFICKERS by Paul Nwala

“…In conclusion, domestic legislation on Human Trafficking does not need to follow the language of the Trafficking in Persons Protocol precisely, but should be adapted in accordance with domestic legal systems to give effect to the concepts contained in the Protocol. …”
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Clinical case of combined correction of children's psychotraumatic experience and distress in the development of cancer by K. A. Blinova, E. V. Pchelintseva, N. P. Lapochkina

“…It is shown that the psychotherapeutic techniques used in the framework of the adapted diathesis-stress model (psychosynthesis, short-term analytical psychodrama, cognitive-behavioral psychotherapy) allow us to determine a behavior strategy in overcoming the traumatic situation that occurred in the early stages of childhood, in order to form the skills of the correct expression of our emotions, avoiding this deconstructive "coping" – strategy.…”
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Genetic Selection Pressure on TLR9 Gene Increases Individual Susceptibility to Systemic Inflammatory Disease: A Case Study of Kano State Population by Yusuf Jibril Habib, Mohammed Sani Jaafaru

“…The high frequency of TLR9 (rs187084) over-expression in Kano State residents may be the result of genetic adaptation to the state's common infectious and parasitic diseases. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. Hybrid approaches integrate multiple methods to enhance predictive accuracy by combining the physical insights of model-based methods with the statistical and analytical strengths of data-driven techniques. …”
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