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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
Showing 201 - 265 of 265 Journals sorted by number of followers
Quantum Science and Technology     Hybrid Journal   (Followers: 15)
Logo STI Science, Technology and Innovation     Open Access   (Followers: 14)
Alfarama Journal of Basic & Applied Sciences     Open Access   (Followers: 12)
Patterns     Open Access   (Followers: 9)
The Innovation     Open Access   (Followers: 8)
History of Science and Technology     Open Access   (Followers: 6)
Frontiers in Climate     Open Access   (Followers: 5)
Discover Sustainability     Open Access   (Followers: 5)
Proceedings of the Indian National Science Academy     Full-text available via subscription   (Followers: 5)
Indian Journal of History of Science     Hybrid Journal   (Followers: 3)
Jaunujų mokslininkų darbai     Open Access   (Followers: 3)
Acta Nova     Open Access   (Followers: 2)
Experimental Results     Open Access   (Followers: 2)
South American Sciences     Open Access   (Followers: 2)
Orbis Cógnita : Revista Científica     Open Access   (Followers: 2)
International Science and Technology Journal of Namibia     Open Access   (Followers: 2)
ARPHA Conference Abstracts     Open Access   (Followers: 1)
Natural Sciences Education     Hybrid Journal   (Followers: 1)
BJHS Themes     Open Access   (Followers: 1)
Fundamental Research     Open Access  
Research Integrity and Peer Review     Open Access  
Journal of Responsible Technology     Open Access  
Natural Sciences     Open Access  
Türk Bilim ve Mühendislik Dergisi     Open Access  
Vilnius University Proceedings     Open Access  
Sciential     Open Access  
ARPHA Proceedings     Open Access  
Gaudium Sciendi     Open Access  
Crea Ciencia Revista Científica     Open Access  
Rafidain Journal of Science     Open Access  
Revista Tecnológica     Open Access  
Fides et Ratio : Revista de Difusión Cultural y Científica     Open Access  
Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales     Open Access  
Entre Ciencia e Ingeniería     Open Access  
Revista Politécnica     Open Access  
Reportes Científicos de la FaCEN     Open Access  

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J : Multidisciplinary Scientific Journal
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2571-8800
Published by MDPI Homepage  [258 journals]
  • J, Vol. 7, Pages 204-217: Challenges and Advancements in All-Solid-State
           Battery Technology for Electric Vehicles

    • Authors: Rajesh Shah, Vikram Mittal, Angelina Mae Precilla
      First page: 204
      Abstract: Recent advances in all-solid-state battery (ASSB) research have significantly addressed key obstacles hindering their widespread adoption in electric vehicles (EVs). This review highlights major innovations, including ultrathin electrolyte membranes, nanomaterials for enhanced conductivity, and novel manufacturing techniques, all contributing to improved ASSB performance, safety, and scalability. These developments effectively tackle the limitations of traditional lithium-ion batteries, such as safety issues, limited energy density, and a reduced cycle life. Noteworthy achievements include freestanding ceramic electrolyte films like the 25 μm thick Li0.34La0.56TiO3 film, which enhance energy density and power output, and solid polymer electrolytes like the polyvinyl nitrile boroxane electrolyte, which offer improved mechanical robustness and electrochemical performance. Hybrid solid electrolytes combine the best properties of inorganic and polymer materials, providing superior ionic conductivity and mechanical flexibility. The scalable production of ultrathin composite polymer electrolytes shows promise for high-performance, cost-effective ASSBs. However, challenges remain in optimizing manufacturing processes, enhancing electrode-electrolyte interfaces, exploring sustainable materials, and standardizing testing protocols. Continued collaboration among academia, industry, and government is essential for driving innovation, accelerating commercialization, and achieving a sustainable energy future, fully realizing the transformative potential of ASSB technology for EVs and beyond.
      Citation: J
      PubDate: 2024-06-27
      DOI: 10.3390/j7030012
      Issue No: Vol. 7, No. 3 (2024)
       
  • J, Vol. 7, Pages 218-235: Enhancing Obscured Regions in Thermal Imaging: A
           Novel GAN-Based Approach for Efficient Occlusion Inpainting

    • Authors: Mohammed Abuhussein, Iyad Almadani, Aaron L. Robinson, Mohammed Younis
      First page: 218
      Abstract: This research paper presents a novel approach for occlusion inpainting in thermal images to efficiently segment and enhance obscured regions within these images. The increasing reliance on thermal imaging in fields like surveillance, security, and defense necessitates the accurate detection of obscurants such as smoke and fog. Traditional methods often struggle with these complexities, leading to the need for more advanced solutions. Our proposed methodology uses a Generative Adversarial Network (GAN) to fill occluded areas in thermal images. This process begins with an obscured region segmentation, followed by a GAN-based pixel replacement in these areas. The methodology encompasses building, training, evaluating, and optimizing the model to ensure swift real-time performance. One of the key challenges in thermal imaging is identifying effective strategies to mitigate critical information loss due to atmospheric interference. Our approach addresses this by employing sophisticated deep-learning techniques. These techniques segment, classify and inpaint these obscured regions in a patch-wise manner, allowing for more precise and accurate image restoration. We propose utilizing architectures similar to Pix2Pix and UNet networks for generative and segmentation tasks. These networks are known for their effectiveness in image-to-image translation and segmentation tasks. Our method enhances the segmentation and inpainting process by leveraging their architectural similarities. To validate our approach, we provide a quantitative analysis and performance comparison. We include a quantitative comparison between (Pix2Pix and UNet) and our combined architecture. The comparison focuses on how well each model performs in terms of accuracy and speed, highlighting the advantages of our integrated approach. This research contributes to advancing thermal imaging techniques, offering a more robust solution for dealing with obscured regions. The integration of advanced deep learning models holds the potential to significantly improve image analysis in critical applications like surveillance and security.
      Citation: J
      PubDate: 2024-06-27
      DOI: 10.3390/j7030013
      Issue No: Vol. 7, No. 3 (2024)
       
  • J, Vol. 7, Pages 116-126: Genome Doubling of Northern Spicebush, Lindera
           benzoin L.

    • Authors: Ramsey F. Arram, Thomas B. Morgan, John T. Nix, Yu-Lin Kao, Hsuan Chen
      First page: 116
      Abstract: Lindera benzoin is a dioecious understory shrub native to eastern North America. Northern spicebush is a beautiful shrub with a natural round shrub shape, golden-yellow fall foliage, attractive bright red drupes, and precocious yellow flowers in early spring; however, its market value as an ornamental value has been overlooked. To improve the ornamental values of this under-cultivated nursery crop, breeding for a better compact form, larger leaves, enlarged flower clusters and fruit, and increased stress tolerances could all be beneficial. Polyploidy manipulation is a valuable method to improve such traits for many ornamental plants. This study established the genome doubling method by oryzalin-infused solid agar treatment on young northern spicebush seedlings. The seedlings of two wild populations in North Carolina were collected and used. A total of 288 seedlings were treated with solid agar containing 150 µM oryzalin for 24, 72, and 120 h. The results were sporadic in their survival ratios and tetraploid conversion ratios between different treatments; however, a total of 16 tetraploid L. benzoin plants were produced in this study. The 24-h treatment showed the optimal result, with 7.1% of total treated seedlings or 15.2% of surviving seedlings converted into tetraploids. Tetraploid plants had visible differences in leaf morphology, a statistically significant enlarged stomata size, and reduced stomatal density compared to diploid plants. This research provides ploidy manipulation information for all future breeding processes of L. benzoin and related species.
      Citation: J
      PubDate: 2024-03-22
      DOI: 10.3390/j7020007
      Issue No: Vol. 7, No. 2 (2024)
       
  • J, Vol. 7, Pages 127-152: Dependence on Tail Copula

    • Authors: Paramahansa Pramanik
      First page: 127
      Abstract: In real-world scenarios, we encounter non-exchangeable dependence structures. Our primary focus is on identifying and quantifying non-exchangeability in the tails of joint distributions. The findings and methodologies presented in this study are particularly valuable for modeling bivariate dependence, especially in fields where understanding dependence patterns in the tails is crucial, such as quantitative finance, quantitative risk management, and econometrics. To grasp the intricate relationship between the strength of dependence and various types of margins, we explore three fundamental tail behavior patterns for univariate margins. Capitalizing on the probabilistic features of tail non-exchangeability structures, we introduce graphical techniques and statistical tests designed for analyzing data that may manifest non-exchangeability in the joint tail. The effectiveness of the proposed approaches is illustrated through a simulation study and a practical example.
      Citation: J
      PubDate: 2024-04-03
      DOI: 10.3390/j7020008
      Issue No: Vol. 7, No. 2 (2024)
       
  • J, Vol. 7, Pages 153-168: Electrothermal Instabilities in
           Barium-Titanate-Based Ceramics

    • Authors: Rizos N. Krikkis
      First page: 153
      Abstract: An electrothermal analysis for barium-titanate-based ceramics is presented, combining the Heywang–Jonker model for the electric resistivity with a heat dissipation mechanism based on natural convection and radiation in a one-dimensional model on the device level with voltage as the control parameter. Both positive-temperature-coefficient (PTC) and negative temperature coefficient (NTC) effects are accounted for through the double Schottky barriers at the grain boundaries of the material. The problem formulated in this way admits uniform and non-uniform multiple-steady-state solutions that do not depend on the external circuit. The numerical bifurcation analysis reveals that the PTC effect gives rise to several multiplicites above the Curie point, whereas the NTC effect is responsible for the thermal runaway (temperature blowup). The thermal runaway phenomenon as a potential thermal shock could be among the possible reasons for the observed thermomechanical failures (delamination fracture). The theoretical results for the NTC regime and the thermal runaway are in agreement with the experimental flash sintering results obtained for barium titanate, and 3% and 8% yttria-stabilized zirconia.
      Citation: J
      PubDate: 2024-04-26
      DOI: 10.3390/j7020009
      Issue No: Vol. 7, No. 2 (2024)
       
  • J, Vol. 7, Pages 169-182: Synergisms between Surfactants, Polymers, and
           Alcohols to Improve the Foamability of Mixed Systems

    • Authors: Luís Alves, Solange Magalhães, Cátia Esteves, Marco Sebastião, Filipe Antunes
      First page: 169
      Abstract: In order to produce detergents with improved performance and good market acceptability, it is crucial to develop formulations with improved foamability and cleaning performance. The use of a delicate balance of surfactants and additives is an appealing strategy to obtain good results and enables a reduction in the amount of chemicals used in formulations. Mixtures of hydrophobically modified linear polymers and surfactants, as well as balanced mixtures with co-surfactants and/or hydrotropes, are the most effective parameters to control foamability and foam stability. In the present study, the effect of the addition of hydrophobically modified linear polymers, nonionic co-surfactants and hydrotropes, and their mixtures to anionic and zwitterionic surfactant aqueous solutions was evaluated. It was found that the presence of the hydrophobically modified polymer (HM-P) prevented the bubbles from bursting, resulting in better stability of the foam formed using zwitterionic surfactant solutions. Also, the surfactant packing was inferred to be relevant to obtaining foamability. Mixtures of surfactants, in the presence of a co-surfactant or hydrotrope led, tendentially, to an increase in the critical packing parameter (CPP), resulting in higher foam volumes and lower surface tension for most of the studied systems. Additionally, it was observed that the good cleaning efficiency of the developed surfactant formulations obtained a higher level of fat solubilization compared to a widely used brand of commercial dishwashing detergent.
      Citation: J
      PubDate: 2024-05-10
      DOI: 10.3390/j7020010
      Issue No: Vol. 7, No. 2 (2024)
       
  • J, Vol. 7, Pages 183-203: A Comprehensive Approach to Quantitative Risk
           Assessment of Rockfalls on Buildings Using 3D Model of Rockfall Runout

    • Authors: Mohammad Al-Shaar, Pierre-Charles Gerard, Ghaleb Faour, Walid Al-Shaar, Jocelyne Adjizian-Gérard
      First page: 183
      Abstract: Rockfalls are incidents of nature that take place when rocks or boulders break from a steep slope and fall to the ground. They can pose considerable threats to buildings placed in high-risk zones. Despite the fact that the impact of a rockfall on a building can cause structural and non-structural damage, few studies have been undertaken to investigate the danger associated with this event. Most of these studies indicated that the risk resulting from rockfall hazards is hard to forecast and assess. A comprehensive quantitative risk assessment approach for rockfalls on buildings is developed and described in this paper and applied for the Mtein village in Mount Lebanon. This method employs a 3D model to simulate the rockfall trajectories using a combination of digital elevation data, field surveys, and orthorectified aerial photographs. The spatial and temporal probability of rockfalls were evaluated using the analysis of historical data in two triggering-factor scenarios: earthquake and precipitation. The findings show that, during the period of 1472 years between the years 551 (the first observed large earthquake in Lebanon) and the current year of the study (2023), the temporal probability will potentially be equal to 0.002 and 0.105 in the cases of earthquake- and rainfall-triggered rockfalls, respectively, while the maximal damage values are expected to be 232 USD and 10,511 USD per year, respectively. The end result is a final map presenting the risk values assigned to each building that could be damaged by rockfalls.
      Citation: J
      PubDate: 2024-05-30
      DOI: 10.3390/j7020011
      Issue No: Vol. 7, No. 2 (2024)
       
  • J, Vol. 7, Pages 19-47: Blockchain in Smart Grids: A Bibliometric Analysis
           and Scientific Mapping Study

    • Authors: Georgios Lampropoulos
      First page: 19
      Abstract: To achieve sustainability and fulfill sustainable development goals, the digitalization of the power sector is vital. This study aims to examine how blockchain can be integrated into and enrich smart grids. In total, 10 research questions are explored. Scopus and Web of Science (WoS) were used to identify documents related to the topic. The study involves the analysis of 1041 scientific documents over the period 2015–2022. The related studies are analyzed from different dimensions including descriptive statistics, identification of the most common keywords and most widely used outlets, examination of the annual scientific production, the analysis of the most impactful and productive authors, countries, and affiliations. The advancement of the research focus and the most popular topics are also examined. Additionally, the results are analyzed, the main findings are discussed, open issues and challenges are presented, and suggestions for new research directions are provided. Based on the results, it was evident that blockchain plays a vital role in securing smart grids and realizing power sector digitalization, as well as in achieving sustainability and successfully meeting sustainable development goals.
      Citation: J
      PubDate: 2024-01-06
      DOI: 10.3390/j7010002
      Issue No: Vol. 7, No. 1 (2024)
       
  • J, Vol. 7, Pages 48-71: An Advanced Deep Learning Framework for
           Multi-Class Diagnosis from Chest X-ray Images

    • Authors: Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, Minas Dasygenis
      First page: 48
      Abstract: Chest X-ray imaging plays a vital and indispensable role in the diagnosis of lungs, enabling healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning (DL) approaches have attained popularity in recent years and have shown promising results in automated medical image analysis, particularly in the field of chest radiology. This paper presents a novel DL framework specifically designed for the multi-class diagnosis of lung diseases, including fibrosis, opacity, tuberculosis, normal, viral pneumonia, and COVID-19 pneumonia, using chest X-ray images, aiming to address the need for efficient and accessible diagnostic tools. The framework employs a convolutional neural network (CNN) architecture with custom blocks to enhance the feature maps designed to learn discriminative features from chest X-ray images. The proposed DL framework is evaluated on a large-scale dataset, demonstrating superior performance in the multi-class diagnosis of the lung. In order to evaluate the effectiveness of the presented approach, thorough experiments are conducted against pre-existing state-of-the-art methods, revealing significant accuracy, sensitivity, and specificity improvements. The findings of the study showcased remarkable accuracy, achieving 98.88%. The performance metrics for precision, recall, F1-score, and Area Under the Curve (AUC) averaged 0.9870, 0.9904, 0.9887, and 0.9939 across the six-class categorization system. This research contributes to the field of medical imaging and provides a foundation for future advancements in DL-based diagnostic systems for lung diseases.
      Citation: J
      PubDate: 2024-01-22
      DOI: 10.3390/j7010003
      Issue No: Vol. 7, No. 1 (2024)
       
  • J, Vol. 7, Pages 72-93: Aerodynamic Modification of High-Rise Buildings by
           the Adjoint Method

    • Authors: Amirfarhang Nikkhoo, Ali Esmaeili, Shayan Rabizade, Majid Zamiri
      First page: 72
      Abstract: This study presents a novel numerical methodology that is designed for the dynamic adjustment of three-dimensional high-rise building configurations in response to aerodynamic forces. The approach combines two core components: a numerical simulation of fluid flow and the adjoint method. Through a comprehensive sensitivity analysis, the influence of individual variables on aerodynamic loads, including lift and drag coefficients, is assessed. The findings underscore that the architectural design, specifically the building’s construction pattern, exerts the most substantial impact on these forces, accounting for a substantial proportion (76%). Consequently, the study extends its evaluation to the sensitivity of fluid flow across various sections of the tower by solving the adjoint equation throughout the entire fluid domain. As a result, the derived sensitivity vector indicates a remarkable reduction of approximately 31% in the applied loads on the tower. This notable improvement has significant implications for the construction of tall buildings, as it effectively mitigates aerodynamic forces, ultimately enhancing the overall comfort and structural stability of these architectural marvels.
      Citation: J
      PubDate: 2024-02-05
      DOI: 10.3390/j7010004
      Issue No: Vol. 7, No. 1 (2024)
       
  • J, Vol. 7, Pages 94-102: Medial Patellofemoral Ligament and Lateral
           Patellofemoral Ligament Reconstruction after Tibial Tuberosity
           Transposition in a Young Woman with Patellar Instability

    • Authors: Jakob Merkač, Mateja Sirše
      First page: 94
      Abstract: In patients with reccurent lateral and medial patellar instability, isolated medial patellofemoral ligament (MPFL) reconstruction may be insufficient due to poor lateral retinacular tissue quality. In this report, we describe a case of a patient that underwent simultaneous MPFL and lateral patellofemoral ligament (LPFL) reconstruction on the left knee due to chronic bidirectional patellar instability. A 29-year-old female patient presented with first-time lateral patellar dislocation five years ago due to acute strain. She underwent a tibial tuberosity transposition in another hospital. After the surgery, she suffered from recurrent medial and lateral patellar dislocation and presented to our center. MPFL and concomitant LPFL reconstruction on the left knee was simultaneously performed due to bilateral patellar dislocation. The patella was stable postoperatively, and the patient underwent physiotherapy with successful results to date. Single-time patellar dislocation should be treated conservatively. Surgical treatment after the first episode of dislocation can magnitude the risk of postoperative complications. The simultaneous reconstructing of the LPFL yields patellar fixation indistinguishable from the native LPFL. These grafts provide separate tensioning depending on body anatomy, allowing for individualized stability. Anatomical MPFL reconstruction is supported by well-established high-quality research. Reconstructing the LPFL anatomically yields patellar fixation indistinguishable from the native LPFL.
      Citation: J
      PubDate: 2024-02-24
      DOI: 10.3390/j7010005
      Issue No: Vol. 7, No. 1 (2024)
       
  • J, Vol. 7, Pages 103-115: Self-Defense Mechanism in Rice to Salinity:
           Proline

    • Authors: Yunus Emre Koc, Murat Aycan, Toshiaki Mitsui
      First page: 103
      Abstract: The increasing global population and climate change threaten food security, with the need for sustenance expected to rise by 85% by 2050. Rice, a crucial staple food for over 50% of the global population, is a major source of calories in underdeveloped and developing countries. However, by the end of the century, over 30% of rice fields will become saline due to soil salinity caused by earthquakes, tsunamis, and rising sea levels. Plants have developed strategies to deal with salt stress, such as ion homeostasis, antioxidant defense mechanisms, and morphological adaptations. Proline, an endogenous osmolyte, is the predominant endogenous osmolyte that accumulates in response to salinity, and its overexpression in rice plants has been observed to increase plant salinity tolerance. Exogenously applied proline has been shown to improve plant salt tolerance by reducing the destructive effect of salinity. Recent research has focused on ionic toxicity, nitrogen fixation, and gene expression related to salt tolerance. Exogenous proline has been shown to improve water potential and leaf content, restoring water usage efficiency. It can also ease growth inhibition in salt-sensitive plants. Exogenously applied proline increases antioxidant activities and enhances plant salinity tolerance. This review examines the role and processes of proline in rice plants under salt stress and its relationship with other tolerance mechanisms.
      Citation: J
      PubDate: 2024-03-11
      DOI: 10.3390/j7010006
      Issue No: Vol. 7, No. 1 (2024)
       
 
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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
Showing 201 - 265 of 265 Journals sorted by number of followers
Quantum Science and Technology     Hybrid Journal   (Followers: 15)
Logo STI Science, Technology and Innovation     Open Access   (Followers: 14)
Alfarama Journal of Basic & Applied Sciences     Open Access   (Followers: 12)
Patterns     Open Access   (Followers: 9)
The Innovation     Open Access   (Followers: 8)
History of Science and Technology     Open Access   (Followers: 6)
Frontiers in Climate     Open Access   (Followers: 5)
Discover Sustainability     Open Access   (Followers: 5)
Proceedings of the Indian National Science Academy     Full-text available via subscription   (Followers: 5)
Indian Journal of History of Science     Hybrid Journal   (Followers: 3)
Jaunujų mokslininkų darbai     Open Access   (Followers: 3)
Acta Nova     Open Access   (Followers: 2)
Experimental Results     Open Access   (Followers: 2)
South American Sciences     Open Access   (Followers: 2)
Orbis Cógnita : Revista Científica     Open Access   (Followers: 2)
International Science and Technology Journal of Namibia     Open Access   (Followers: 2)
ARPHA Conference Abstracts     Open Access   (Followers: 1)
Natural Sciences Education     Hybrid Journal   (Followers: 1)
BJHS Themes     Open Access   (Followers: 1)
Fundamental Research     Open Access  
Research Integrity and Peer Review     Open Access  
Journal of Responsible Technology     Open Access  
Natural Sciences     Open Access  
Türk Bilim ve Mühendislik Dergisi     Open Access  
Vilnius University Proceedings     Open Access  
Sciential     Open Access  
ARPHA Proceedings     Open Access  
Gaudium Sciendi     Open Access  
Crea Ciencia Revista Científica     Open Access  
Rafidain Journal of Science     Open Access  
Revista Tecnológica     Open Access  
Fides et Ratio : Revista de Difusión Cultural y Científica     Open Access  
Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales     Open Access  
Entre Ciencia e Ingeniería     Open Access  
Revista Politécnica     Open Access  
Reportes Científicos de la FaCEN     Open Access  

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