Comparative analysis of container ports performance in West Africa by Felix Ibeh

“…Improving port efficiency speeds the transportation of goods and reduces logistics costs and delays. West African ports have recently handled more containers, indicating their growing significance in global trade. …”
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Phosphate-solubilizing microorganisms and phosphorus rates affecting yield, nutrient uptake and economic viability of corn and rice in the off-season by Dennis Ricardo Cabral Cruz, Adriano Stephan Nascente, Izabely Vitória Lucas Ferreira, Natasha Ohanny da Costa Monteiro, Gabriella Alves Duarte, Izaque de Sousa Rocha

“…This study aimed to evaluate the effects of inoculation with phosphate-solubilizing microorganisms combined with phosphorus rates on the agronomic performance, production costs and sustainability in off-season corn and upland rice cultivation. …”
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Research on Weakly Supervised Face Segmentation Technology Based on Visual Large Models in New Media Post-Production by Baihui Tang, Sanxing Cao

“…However, existing approaches primarily depend on fully supervised learning, which requires extensive manual annotation and incurs high labor costs. To overcome these limitations, we propose a novel weakly supervised face segmentation framework that leverages large-scale vision models to automatically generate high-quality pseudo-labels. …”
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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…Early identification of possible problems and prompt and precise diagnosis reduce unscheduled downtime, lower maintenance costs, and prevent catastrophic failures. Traditional human-dependent diagnostic techniques are changing as a result of advances in artificial intelligence (AI), opening the door to automated and predictive maintenance plans. …”
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Correlation Between Individual Body Condition and Seasonal Activity in Buresch’s Crested Newt, <i>Triturus ivanbureschi</i> by Simeon Lukanov, Irena Atanasova

“…The results suggest that winter activity may carry energetic costs later in the season and highlight potential sex-based differences in aquatic behavior.…”
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Local Community Attitude towards Forest-Based Ecotourism Development in Arbegona and Nensebo Woredas, Southern Ethiopia by Bruktawit Gezahegn, Zerihun Girma, Megersa Debele

“…Creating awareness through persuasion and communication of new and well-suited information, promoting alternative livelihood options, encouraging local benefits from the conservation of forest resources, and compensating costs induced by wild animals can minimise negative attitudes, thereby contributing to the enhancement of local communities’ positive attitudes towards forest resource conservation.…”
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Flexible Stabilisation of the Degenerative Lumbar Spine Using PEEK Rods by Jacques Benezech, Bruno Garlenq, Gilles Larroque

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Preparing self-cleaning and antibacterial polysulfone nano-fibers using TiO2, ZnO, and SiO2 nanoparticles with electrospinning method by Aida Babakhani, Sonya AzamiGheimasi

“…Polysulfones are widely applied industrial polymers due to their low costs and high resistance; hence, various nanoparticles can be used to add unique features to this type of polymer. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…Vehicle-to-grid (V2G) technology is gradually gaining attention to support issues of performance optimization, energy fluctuations, reducing grid operating costs and bringing optimal efficiency to owners. …”
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Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. by Bhavana Jonnalagadda, Stephen Becker

“…Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using artificial neural networks, specifically with convolutional layer architecture, that trains on existing simulation data. …”
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Reinforcement Learning Model for Optimizing Bid Price and Service Quality in Crowdshipping by Daiki Min, Seokgi Lee, Yuncheol Kang

“…A numerical analysis shows that the bid strategies learned by RL provide more rewards and lower costs than other benchmark strategies. In addition, a comparison of price-based and multi-attribute strategies reveals that the choice of appropriate strategies is situation-dependent.…”
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Rapidly vanishing lung pseudotumor in a patient with acute bilateral bronchopneumonia by Lazović Biljana, Stajić Zoran, Putniković Biljana

“…This is the way to avoid incorrect interpretation of this finding causing additional, unnecessary, costly or invasive imaging, interventions and drugs.…”
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Comments Regarding the Book How To Avoid A Climate Disaster by VIRGINIA CÂMPEANU

“…Of the 12 chapters of the book, the author presents synthetically a) the premises from which the research began; b) the solutions to achieve the planet's climate neutrality, and c) the recommendations of the author of the book to reduce the costs involved in combating climate change and achieving zero net carbon in 2050. …”
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A data-driven approach to pricing models for balanced public–private healthcare systems by Aydin Teymourifar, Onur Kaya, Gurkan Ozturk

“…While public hospitals have lower costs, they also suffer from long waiting times and diminishing patients’ perceived quality of care. …”
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A design-based framework for optimal stratification using super-population models with application on real data set of breast cancer. by Faizan Danish

“…To address this, the study proposes a robust methodology for calculating OSB and SS, leveraging knowledge of the survey's per-unit stratum measurement costs or its probability density function. An empirical application of the method is demonstrated using breast cancer data, where the mean perimeter is estimated based on mean radius and mean texture. …”
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The Future of Healthcare: Portable IoT based Patient Monitoring Systems by Muhammad Daniyal Maqsood Alvi, Khair Ul Wara, Syed Faizan Raza Shah Zaidi, Komal Tariq, Saad Abdullah, Shahzad Nasim

“…The most cutting-edge advancement in this field is the capacity to remotely or portably monitor patients, which is very beneficial given the rapidly expanding global population, rising healthcare costs, and limited access to medical institutions in less developed nations. …”
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Twenty years of applied experimental research on wood-plastic composites. An Italian case study by Sara Lanzoni, Luca Guardigli, Pietro Pizzardi

“…It summarises, in a critical manner, the activity that led to the optimisation of the product according to a series of criteria such as durability, physical–mechanical characteristics, production costs, processability and reduction of environmental impact. …”
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Framework for experimental evaluation of software solutions in a virtual environment by D. Ilin

“…The developed domain-specific software framework addresses shortcomings of existing tools to reduce labor costs when conducting experiments to evaluate information technology solutions. …”
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Home telework, travel behavior, and land-use patterns: A path analysis of British single-worker households by João de Abreu e Silva, Patricia C. Melo

“…The results suggest that home-based teleworking is a strategy used by people to cope with long and costly commutes. Workers living in less transit accessible areas and with longer commutes tend to work from home more frequently. …”
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Conceptual framework of value creation through CSR in separate member of value creation chain by Jonikas Donatas

“…Such practical model should help to determine which CSR action might bring maximized value outcome with lowest costs. The main attention in this paper is concentrated only on a single company as a member of value creation chain (VCC). …”
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