bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal reconstruction and recognition of images by Jacobi Fourier moments and artificial bee colony (ABC) algorithm
Authors: Yahya SAHMOUDI , EL-Mekkaoui Jaouad , BENSLIMANE Mohamed , Janati Idrissi Boujamaa , El Ogri Omar , Hjouji Amal
Published: May 2024

The orthogonal moments giving relevant results of these last years within the framework of object detection, pattern recognition and image reconstruction, this work based on orthogonal functions called Orthogonal Jacobi Polynomials (OJPs), and we introduce a new set of moments called Generalized Jacobi Fourier Moments (GJFMs), these polynomials are characterized by parameters . However, it was very important to optimize these parameters in order to obtain a good result, in this context; this study used a new approach to optimized Jacobi Fourier parameters  using the artificial bee colony algorithm (ABC) in order to improves the quality of reconstruction of images of large sizes. On the one hand, to validate this technique which offers a high image reconstruction quality. On other hand, the comparison carried out with other algorithms clearly indicates the advantage of the proposed method.
Développement des équations de volume total et des volumes à diamètre et longueur variables des grumes d’arbres individuels du pin maritime (Pinus pinaster Ait.) en Tunisiein maritime (Pinus pinaster Ait.) en Tunisie
Authors: ESSOUSSI Iheb , SGHAIER Tahar
Published: May 2024

Des tarifs de cubage globaux et marchands ont été développés pour le pin maritime (Pinus pinaster) en Tunisie. Les données utilisées proviennent de 90 arbres échantillonnés dans la forêt artificielle de pin maritime localisée dans les régions du Nord et du Nord- Ouest du pays. La technique d’ajuste- ment adoptée est celle de régression non-linéaire sans corrélation apparente (NSUR : Nonlinear Seemingly Unrelated Regression equations), basée sur les moindres carrés généralisés. Pour corriger l’autocorrélation observée entre les erreurs successives issues des observa- tions en provenance d’une même tige, un processus autorégressif d’ordre 3 sur ces erreurs a été incorporé dans le modèle d’ajustement des paramètres des différentes équations étudiées. Les tarifs de cubage développés permettent de prédire avec un coefficient de corrélation R2 ajusté variant de 97 à 99 % : (i) le volume total du bois fort des grumes jusqu’à une découpe quelconque, (ii) le volume entre deux niveaux de la grume, et (iii) le diamètre à une hauteur donnée ainsi que la hauteur à un diamètre de découpe donné de la grume. Grâce à ces tarifs, des tables de cubage d’estimation des volumes globaux et marchands des grumes d’arbres individuels de pin maritime ont été générées. Les équations de volume élaborées dans le cadre de cette étude représentent des outils flexibles, précis et pratiques pour la ges- tion adéquate des forêts de pin maritime en Tunisie et dans le bassin méditerranéen.
Analysis of Instrument Development to Evaluate Employee Protection from Tuberculosis in Hospitals
Authors: Lestari Fetrina , Modjo Robiana , Kurniawidjaja Meily , Susanto Agus Dwi , Alfiyyah Arifah
Published: May 2024

Introduction: Tuberculosis (TB) continues to be a major global public health threat, affecting millions of people annually. Despite efforts to control TB, the number of cases remains high. The situation is exacerbated by the COVID-19 pandemic, which has strained healthcare systems. The increased workload of hospital employees also raises the risk of TB transmission. This study aims to develop an instrument to evaluate employee protection from TB in hospitals. Methods: This study used a qualitative design with an exploratory approach. Data were collected from existing policies and through in-depth interviews with stakeholders, including academics, practitioners, regulators, infection control officers, occupational health and safety officers, and non-government organization representatives for TB. Results: The instrument developed comprised seven components, namely management commitment; program planning; coordination, communication, and education; implementation of TB and other disease management programs in the workplace; handling TB cases in the workforce; training and competence; and monitoring and evaluation. Conclusion: Instrument development is crucial for capturing the current state of TB problems and managing prevention and control programs in hospitals. The terms of reference serve as an effort to protect hospital employees
Dysmenorrhea and Seborrheic Dermatitis due to Occupational Stress Among Female Bank Workers
Authors: Badri Putri Rizki Amalia , Febriani Ratika , Saraswati Nia Ayu , Artanto Ardi , Febrianti Yuni , Apriyani Selvy , Najwa Annisya Nur
Published: May 2024

Introduction: Bank workers who provide services to customers are required to have an optimal performance. They are vulnerable to stress that can interfere with their performance. Stress causes an increase in sebaceous glands, resulting in seborrheic dermatitis and an increase in hormones. This can cause contraction of the uterine muscles which can lead to dysmenorrhea. This study aims to determine the relationship between occupational stress and dysmenorrhea and seborrheic dermatitis among female bank workers. Methods: This research followed an analytic observational cross-sectional design using primary data from female workers at SumSel Babel Bank A. Rivai Branch. The sample consisted of 75 female bank workers, who met the inclusion and exclusion criteria and were selected using consecutive sampling. The independent variable in this study was occupational stress, while the dependent variables were dysmenorrhea and seborrheic dermatitis. Data were collected from primary data, the workplace stress scale questionnaire for occupational stress, the WaLIDD score for dysmenorrhea, and seborrheic dermatitis examination by a dermatologist. After obtaining the data, bivariate analysis was performed using the Chi-square test. Results: Sixty respondents (80%) had occupational stress, 47 respondents (62.7%) experienced dysmenorrhea, and 69 respondents (92%) did not experience seborrheic dermatitis. The results of statistical tests showed that there was a relationship between occupational stress and dysmenorrhea in female bank workers with a p-value 0.000 and no significant relationship between stress and the incidence of seborrheic dermatitis with p-value 0.202. Conclusion: Occupational stress can cause health problems including dysmenorrhea in female workers.
Safety Perceptions among Ship-to-Shore (STS) Crane Operators at PT Terminal Teluk Lamong
Authors: Utami Sentagi Sesotya , Setyonugroho Winny , Islami Moch Zihad , Permana Iman , Srihandono Janatarum , Muljoko Tipung
Published: May 2024

Introduction: Ship-to-shore (STS) crane operators strive for efficiency in their work, but they must take a hard look at their high-risk jobs. It is necessary to learn how to improve occupational safety and health. This study aims to investigate the problems faced by STS crane operators working in container ports and to understand the importance of fit-for-work monitoring procedures, particularly for individuals working in high-risk industries such as STS operators. Methods: This study used a qualitative approach, and data were collected through interviews and observations of STS operators and in-house clinic staff. Nine STS operators, two in-house clinic staff, and two safety, health, and environment (SHE) staff were interviewed. Results: This study found that container terminal companies emphasise two critical aspects for STS operators: productivity and occupational safety and health. STS operators face health problems, including physical and psychological problems, due to the fast-paced work system, sleep patterns, daily activities, and thoughts that are difficult to control. Employees have coping mechanisms to deal with fatigue, and stakeholders have effectively communicated the company's safety and health culture. Most stakeholders in a container terminal company want a fit-for-work monitoring system to make the business efficient and sustainable. Conclusion: The STS industry faces a significant problem with operator fatigue, which can negatively impact safety and productivity. This issue requires a comprehensive strategy, including legislation to regulate working hours and shift patterns, technology to combat fatigue, and operator education and training.
Factors Related to Traffic Accidents among Online Motorcycle Taxi Riders in Bekasi
Authors: Olivia Frisilia , Seri Ani Luh
Published: May 2024

Introduction: Online motorcycle taxi riders in Bekasi are at risk of traffic accidents, with unknown contributing factors. This study aims to determine the factors associated with these traffic accidents. Methods: This quantitative study was conducted using a cross-sectional method with a sample size of 178 riders selected through accidental sampling. Data collection was carried out from April to May 2022 by surveying riders along the road in Bekasi. The dependent variable was traffic accidents, while the independent variables included characteristics of riders, safety riding behavior, work stress, and sleep quality. Data were collected by distributing questionnaires. Analysis was carried out using the Chi-squared test and binary logistic regression. Results: This study found a correlation between the incidence of traffic accidents among online riders and sex, age, and safety riding behavior. However, factors such as education level, duration of work, period of work, knowledge of safety riding, perception of safety riding, work stress, and sleep quality were not related to traffic accidents. Conclusion: Factors such as sex, age, and safety riding behavior were found to be related to the incidence of traffic accidents among online riders. Therefore, to reduce the death rate, it is recommended that riders, especially female and young riders, prioritize safety driving behavior.
Comparative Analysis Research of Safety Climate Assessment in the Jababeka Manufacturing Industry
Authors: Satrya Chandra , Susilowati Indri Hapsari , Khaliwa Agra Mohamad , Alam Eriena Nur
Published: May 2024

Introduction: The manufacturing industry transforms various materials, substances, or components into new products using mechanical, physical, or chemical forces. Safety climate refers to the perception of workers of prioritizing safety over organizational goals in the workplace. PT A, B, and C are manufacturing companies located in the Jababeka area. This study aims to identify the main factors that influence the perception of workers of safety climate in PT A, B, and C. Methods: A quantitative study with a cross-sectional design was conducted in August 2021 to analyze the safety climate of three companies. This study focused on various factors, such as leadership, risk management, implementation of occupational health and safety management system (OHSMS), regulation, management commitment, worker engagement, and worker competence. The sample size consisted of 330 workers selected from the three companies using the Lemeshow formula from a total of 1500 workers using the cluster sampling technique with the analysis of variance (ANOVA) test. Results: The results showed that risk management had the lowest score among the safety climate sub-variable for the three companies. Conclusion: The ANOVA test revealed a significant relationship among the safety climate variables. Furthermore, it is necessary to prioritize management in terms of policy and administration by involving all departments.
Characteristics and Correlation of Indonesian Cabin Crew Marital Status and Anxiety 2022
Authors: Augisna Fadhilah Qostholani , Theresa Ria Maria , Lardo Soroy , Herardi Ryan , Savitri Pritha Maya
Published: May 2024

Introduction: Fear of getting COVID-19 has led to an upsurge in mental health problems, particularly among those who deal directly with others, such as cabin crew. A regulation has been established requiring travelers to attach the results of a COVID-19 test to prevent the transmission of the virus during flight. While the number of confirmed COVID-19 cases continued to rise, the regulations were subsequently repealed in early 2022. The marital status of an individual is one factor that can influence the level of anxiety. Studies regarding the correlation between marital status and anxiety levels of cabin crew during the COVID-19 pandemic in Indonesia are still lacking. This study aims to determine the correlation between marital status and anxiety levels of Indonesian cabin crews in 2022. Methods: In November 2022, a cross-sectional offline survey was conducted using a written questionnaire. Using consecutive sampling with inclusion and exclusion criteria, a final sample of 79 was analyzed. The independent variable is classified as either married or unmarried based on Indonesia Law Act No. 1 of 1974. Anxiety levels, the dependent variable, were collected using a Hamilton Anxiety Rating Scale (HARS) questionnaire and a personal data questionnaire. Results: A correlation was observed between the marital status of Indonesian cabin attendants in 2022 and their anxiety levels (p=0.025), according to the findings. Conclusion: Increased anxiety levels about cabin personnel's marital status are driven by the worry of catching COVID-19, which will result in feelings of loneliness, particularly for cabin crew with unmarried marital status
Tailoring porous structure in non-ionic polymer membranes using multiple templates for low-cost iron-lead single-flow batteries
Authors: Zhang Jiaxuan , Lejarazu-Larrañaga Amaia , Yang Fan , Jiang Weilong , Hu Mingruo , Sui Sheng , Li Haolong , Jiang Fengjing
Published: May 2024

Porous ion-selective membranes are promising alternatives for the expensive perfluorosulfonic acid membranes in redox flow batteries. In this work, novel non-ionic porous polyvinylidene fluoride-hexafluoro propylene membranes are designed for iron-lead single-flow batteries. The membranes are prepared using a multiple template approach, involving simultaneously using polyethylene glycol and dibutyl phthalate (DBP) as pore-forming templates. Their porous structure is finely tuned by adjusting the ratio of the two templates. As a result, dual-porous membranes bearing both macro and micropores are obtained. The H3520 membrane with modified porous structure attains a high proton conductivity of 43.5 mS·cm-1 and a relatively low ferric ion diffusion constant (8.61 × 10-8 cm2·min-1) and demonstrates the best balance between these performance-determining parameters (selectivity 5.04 × 105 S·min·cm-3, higher than that of the N115 membrane). Besides, performance tests of the iron-lead single-flow single cells equipped with the dual-porous membranes show a high energy efficiency, exceeding 87.2% at its rated current density, and outstanding cycling stability over 200 charge-discharge cycles. Altogether, the mixed template method presents a promising strategy to prepare high-performance and low-cost non-ionic membranes for redox flow batteries.
The role of financial accountability control in improving financial performance
Authors: Novandalina Arini , Khajar Ibnu , Ghoniyah Nunung
Published: May 2024

Purpose – This study aims to describe the effect of diversity of knowledge and financial capabilities on accountability for behavior control and improvement of financial performance.Design/methodology/approach – The population in this study were all branches of the Baitul Maal Wat Tamwil Sharia Savings and Loans Cooperative (KSPPS BMT) in Central Java. The sample used purposive sampling to obtain 146 respondents. Data were analyzed using the Structural Equation Modeling (SEM) analysis technique with the application of Analysis Moment of Structural (AMOS 24).Findings – The results of the study explain the increase in financial performance based on Behavioral Accounting Theory and Human Resource Management Theory. The behavior control accountability model shows that perceived interest and intention in self-confidence to control accountability behavior as indicated by behavioral intention, perceived behavioral control, process and financial accountability can affect financial performanceResearch limitations/implications – Where the factors of diversity of knowledge and financial capability in shaping accountability for behavior control and impact on financial performance will offer a deeper understanding of the supporting factors for accountability for behavior control and also have an impact on efforts to improve financial performance.Practical implications – A better understanding of the factors influencing improvement efforts should assist accountants in information processing, quality of judgments, accounting problems that arise with accounting users and preparers, and the use of information in accounting decision making.Originality/value – Using and explaining about improving financial performance based on Behavioral Accounting Theory and Human Resource Management Theory. The behavior control accountability model shows that perceived interest and intention in self-confidence to control accountability behavior as indicated by behavioral intention, perceived behavioral control, process and financial accountability can affect financial performance
A Review of Generative Pretrained Multi-step Prompting Schemes –and a New Multi-step Prompting Framework
Authors: Cohen Yuval , Aperstein Yehudit
Published: May 2024

This paper reviews the pioneering work related to the generation of a sequence of prompts in Pretrained Language Models (PLMs) to automatically complete a complex writing task. The paper identifies the main categories of automated multi-step prompting and discusses their advantages and disadvantages. The paper also proposes an additional approach for automated multi-step prompting with iterative four main phases: in the first phase a sequence of prompts is geared to elicit the structure of the requested task. This is done by identifying the task’s main parts, the general contents of the different parts and their precedence relations. The structure of each main part is iteratively explored to find secondary and tertiary parts if they exist. A second phase is followed by a sequence of prompts that fill in the primary, secondary, and tertiary parts, and seek to fine-tune the result. The third phase reviews the generated text and criticizes it. Based on this criticism a revision is prepared. The fourth phase is fine-tuning the document, with emphasis on section length and text tone. Future research could deal with the system identification of points where the system should initiate interaction with the user for desired feedback and guidance.
An Overview of Nanoparticle-Based Delivery Platforms for Vaccines
Authors: Lin Yang , Chen Xuehua , Wang Ke , Liang Li , Zhang Hongxia
Published: May 2024

With its unique properties and potential applications, nanoparticle-based delivery platforms for vac-cines have gained significant attention in recent years. Nanoparticles have the advantages of enhancing immunogenicity, targeting delivery and improving stability, providing a new solution for drug and vaccine delivery. And in some clinical studies, a variety of nanoparticle delivery platforms have been gradually applied to a wide range of vaccine applications. Current research priorities are exploring various types of nanoparticles as vaccine delivery system to enhance vaccine stability and immunogen-icity. Lipid nanoparticles have shown promising potential in preclinical and clinical studies to efficiently deliver antigens to immune cells. Moreover, lipid nanoparticles (LNPs) and other nanoparticles as nu-cleic acids especially mRNA delivery system, have shown vast potential for vaccine development. In this review, we present various vaccine platforms with an emphasis on nanoparticles for mRNA nano-vaccine delivery vehicles. We introduce several novel nanoparticles delivery platforms for mRNA vac-cine such as lipid, polymer, protein-based nanoparticle and so on. In addition, we overview the an-ti-tumor immunity of nanovaccine against different tumors in cancer immunotherapy. Finally, we give an outlook future perspectives and remaining challenges for this promising technolo-gy-nanoparticle-based delivery platforms for vaccines.
Cathode Materials for Intermediate Temperature Solid Oxide Fuel Cells
Authors: Nisar Jamila , Kaur Gurpreet , Giddey Sarbjit , Bhargava Suresh , Jones Lathe
Published: May 2024

Intermediate temperature solid oxide fuel cell (SOFC) operation provides numerous advantages such as high combined heat and power (CHP) efficiency, potentially long-term materials stability, and the use of low-cost materials. However, due to the sluggish kinetics of the oxygen reduction reaction at intermediate temperature, the cathode of SOFC requires an efficient and stable catalyst. Significant progress in the development of cathode materials has been made over recent years. In this article, multiple strategies for improving the performance of cathode materials have been extensively reviewed such as A and B site doping of perovskites, infiltration of catalytic active materials, the use of core-shell composites, etc. Emphasis has been given to intrinsic properties such as thermal expansion compatibility, chemical and thermal stability, and oxygen transport number. Furthermore, to avoid any insulating phase formation at the cathode/electrolyte interface, strategies for interfacial layer modifications have also been extensively reviewed and summarized. Based on major technical challenges, future research directions have been proposed for efficient and stable intermediate temperature solid oxide fuel cell (SOFC) operation.
FAIR as a Journey: Lessons Learned and Takeaways from Building the GoTriple Discovery Platform for SSH
Authors: De Santis Luca
Published: May 2024

This report describes the experience in implementing the FAIR principles for the GoTriple Discovery Platform for the Social Sciences and Humanities (SSH). It shows how adherence to FAIR should be considered as a continuous process throughout the entire lifespan of any information management system, including GoTriple, rather than a static goal with decisions only made at design time. The report presents an introduction highlighting the importance of the FAIR principles, indicating how they can be assessed in data management systems. Then the GoTriple case is presented, with a general overview of this discovery platform before describing some of the implemented practices in support of FAIR. The Discussion section shows on the one hand some virtuous reuse of GoTriple data, together with one major pitfall in the platform’s FAIR implementation. In this sense, this report serves as a case study that can offer insights and actionable advice for those implementing information systems aligned, from the very outset, with the FAIR principles.
Artificial Intelligence Application for Thoracic Surgeon: “Phe-Nomenal Cosmic Powers into the Magic Lamp”
Authors: Cusumano Giacomo , D'arrigo Stefano , Terminella Alberto , Lococo Filippo
Published: May 2024

In the digital age, Artificial Intelligence (AI) is emerging as a transformative force in various sectors, in-cluding medicine. This article explores the potential of AI, akin to the magical genie of Aladdin's lamp, particularly within thoracic surgery and lung cancer management. It examines AI applications like ma-chine learning and deep learning in achieving more precise diagnoses, preoperative risk assessment, and improved surgical outcomes. The challenges and advancements in AI integration, especially in computer vision and multi-modal models, are discussed alongside their impact on robotic surgery and operating room management. Despite its transformative potential, implementing AI in medicine faces challenges regarding data scarcity, interpretability issues, and ethical concerns. Collaboration between AI and medi-cal communities is essential to address these challenges and unlock the full potential of AI in revolution-izing clinical practice. This article underscores the importance of further research and interdisciplinary collaboration to ensure the safe and effective deployment of AI in real-world clinical settings.
Exploring the Impact of Noise and Image Quality on Deep Learning Performance in Dxa Images
Authors: Hussain Dildar , Hyeon Gu Yeong
Published: May 2024

Background and Objective: Segmentation of the femur in Dual Energy X-ray (DXA) images poses challenges due to reduced contrast, noise, bone shape variations, and inconsistent X-ray beam penetration. In this study, we investigate the relationship between noise and certain deep learning (DL) techniques for semantic segmentation of the femur to enhance segmentation and bone mineral density (BMD) accuracy by incorporating noise reduction methods into DL models.
Methods: Convolutional neural network (CNN) based models were employed to segment femurs in DXA images and evaluate the effects of noise reduction filters on segmentation accuracy and its effect on BMD calculation. Various noise reduction techniques were integrated into DL-based models to enhance image quality before training. We assessed the performance of the fully convolutional neural network (FCNN) in comparison to noise reduction algorithms and manual segmentation methods.
Results: Our study demonstrated that FCNN outperformed noise reduction algorithms in enhancing segmentation accuracy and enabling precise calculation of BMD. The FCNN-based segmentation approach achieved a segmentation accuracy of 98.84% and a correlation coefficient of 0.9928 for BMD measurements, indicating its effectiveness in the clinical diagnosis of osteoporosis.
Conclusions: In conclusion, integrating noise reduction techniques into DL-based models significantly improves femur segmentation accuracy in DXA images. The FCNN model, in particular, shows promising results in enhancing BMD calculation and clinical diagnosis of osteoporosis. These findings highlight the potential of DL techniques in addressing segmentation challenges and improving diagnostic accuracy in medical imaging.
The Interplay between 2-Arachidonoylglycerol and Anandamide Amidohydrolase in Neuropathy
Authors: Ibrahim Iddrisu , Ayariga Joseph , Xu Junhuan , Robertson Boakai , Ajayi Olufemi
Published: May 2024

The endocannabinoid system (ECS) is a complex neuromodulatory network in the human body that have enormous impact in developing the central nervous system, as well as modulates various physiological processes. The ECS is made up of anandamide, 2-arachidonoylglycerol (2-AG), which are responsible for the synthesis and degradation of endocannabinoids, and enzymes such as FAAH and MAGL ensures the precise control over endocannabinoid levels. The ECS relies on CB1 receptors found in the central nervous system (CNS), and CB2 receptors found in the peripheral nervous system and immune cells. Dysregulation of the ECS has been associated with several health conditions, prompting investigations into its association with phytocannabinoids to harness their therapeutic potential. The ECS is intricately linked with the nervous system, and it is known to modulate neuronal activities in the CNS, influencing pain and mood modulation. The ECS is also associated with neuropathies-peripheral nerve damage leading to symptoms such as weakness, numbness and pain as evidenced in diabetic neuropathy, Guillain-Barré Syndrome, carpal tunnel syndrome, peripheral neuropathy, and postherpetic neuralgia. The focus of this review is on the interplay between 2-arachidonoylglycerol and anandamide amidohydrolase in neuropathy, elucidating their roles in pain regulation, inflammation, and specific neuropathies. The knowledge generated is expected to have broad implications, providing comprehensive insights into neuropathic conditions and how to improve on them. Ultimately, this understanding may lead to more effective treatments and improved quality of life for individuals affected by these conditions.
Elevated Temperature Effects on Protein Turnover Dynamics in Arabidopsis thaliana Seedlings Revealed by 15N-Stable Isotope Labeling and ProteinTurnover Algorithm
Authors: Fan Kai-Ting , Xu Yuan
Published: May 2024

Global warming poses a threat to plant survival, impacting growth and agricultural yield. Protein turnover, a critical regulatory mechanism balancing protein synthesis and degradation, is crucial for cellular response to environmental changes. We investigated the effects of elevated temperature on proteome dynamics in Arabidopsis thaliana seedlings using 15N-stable isotope labeling and ul-tra-performance liquid chromatography-high resolution mass spectrometry, coupled with the ProteinTurnover algorithm. Analyzing different cellular fractions from plants grown under 22°C and 30°C growth conditions, we found significant changes in the turnover rates of 571 proteins, with a median 1.4-fold increase, indicating accelerated protein dynamics under thermal stress. Notably, soluble root fraction proteins exhibited smaller turnover changes, suggesting tissue-specific adap-tations. Significant turnover alterations occurred with redox signaling, stress response, protein folding, secondary metabolism, and photorespiration, indicating complex responses enhancing plant thermal resilience. Conversely, proteins involved in carbohydrate metabolism and mito-chondrial ATP synthesis showed minimal changes, highlighting their stability. This analysis high-lights the intricate balance between proteome stability and adaptability, advancing our under-standing of plant responses to heat stress and supporting the development of improved thermo-tolerant crops.
A Novel Types of Fuzzy Closed Sets, Separation Axioms, and Compactness via Double Fuzzy Topologies
Authors: Alsharari Fahad , Alqurashi Wafa , Taha Islam M.
Published: May 2024

In this article, we first defined a stronger form of (r,s)-generalized fuzzy semi-closed sets (briefly, (r,s)-gfsc sets) called (r,s)-g*fsc sets and investigated some of its features. Moreover, we showed that (r,s)-fsc set → (r,s)-g*fsc set → (r,s)-gfsc set, but the converse may not be true. In addition, we explored novel types of fuzzy generalized mappings between double fuzzy topological spaces (U, τ, τ*) and (V, η, η*), and the relationships between these classes of mappings were examined with the help of some illustrative examples. Thereafter, we introduced novel types of higher separation axioms called (r,s)-GFS-regular and (r,s)-GFS-normal spaces with the help of (r,s)-gfsc sets and discussed some topological properties of them. Finally, some novel types of compactness via (r,s)-gfso sets were defined and the relationships between them were introduced.
Growth Hormone Receptor Antagonist Markedly Improves Gemcitabine Response in a Mouse Xenograft Model of Human Pancreatic Cancer
Authors: Basu Reetobrata , Kulkarni Prateek , Swegan Deborah , Duran-Ortiz Silvana , Ahmad Arshad , Caggiano Lydia J , Davis Emily , Walsh Christopher , Brenya Edward , Koshal Adeel , Brody Rich , Sandbhor Uday , Neggers Sebastian J.C.M.M , Kopchick John J
Published: May 2024

Chemotherapy treatment against pancreatic ductal adenocarcinoma (PDAC) is thwarted by tumoral activation of multiple therapy-resistance pathways. The growth hormone (GH) – GH receptor (GHR) pair is a covert driver of multimodal therapy resistance in cancer, and is overexpressed in PDAC tumors, yet the therapeutic potential of targeting the same has not been explored. Here, we report that GHR expression is a negative prognostic factor in patients with PDAC. Combinations of gemcitabine with different GHR antagonists (GHRAs) markedly improve therapeutic outcomes in nude mice xenografts. Employing cultured cells, mouse xenografts, and analyses of the human PDAC transcriptome, we identified that attenuation of the multidrug transporter and epithelial-to-mesenchymal transition programs in the tumors underlie the observed augmentation of chemotherapy efficacy by GHRAs. Moreover, in human PDAC patients, GHR expression strongly correlates with a gene signature of tumor-promotion and immune-evasion, which corroborate with that in syngeneic tumors in wild-type vs. GH transgenic mice. Overall, we found that GH action in PDAC promoted a therapy-refractory gene signature in vivo, which can be effectively attenuated by GHR antagonism. Our results collectively present a proof of concept towards considering GHR antagonist to improve chemotherapeutic outcome in the highly chemoresistant PDAC.
Magnetogenetics as a Promising Tool for Controlling Cellular Signaling Pathways
Authors: Latypova Anastasiia , Yaremenko Alexey , Pechnikova Nadezhda , Minin Artem , Zubarev Ilya
Published: May 2024

Magnetogenetics emerges as a transformative approach for modulating cellular signaling pathways through the strategic application of magnetic fields and nanoparticles. This technique leverages the unique properties of magnetic nanoparticles (MNPs) to induce mechanical or thermal stimuli within cells, facilitating the activation of mechano- and thermosensitive proteins without the need for traditional ligand-receptor interactions. Unlike traditional modalities that often require invasive interventions and lack precision in targeting specific cellular functions, magnetogenetics offers a non-invasive alternative with the capacity for deep tissue penetration and the potential for targeting a broad spectrum of cellular processes. This review underscores magnetogenetics' broad applicability, from steering stem cell differentiation to manipulating neuronal activity and immune responses, highlighting its potential in regenerative medicine, neuroscience, and cancer therapy. Furthermore, the review explores the challenges and future directions of magnetogenetics, including the development of genetically programmed magnetic nanoparticles and the integration of magnetic field-sensitive cells for in vivo applications. Magnetogenetics stands at the forefront of cellular manipulation technologies, offering novel insights into cellular signaling and opening new avenues for therapeutic interventions.
Enhancing Concrete Recycling in Iran: A Comprehensive Review of Strategies
Authors: Eshraghi Hesam , Alipouri Yaghoub
Published: May 2024

Concrete, the most-used construction material by weight, presents a significant environmental challenge due to its high production environmental footprint and huge quantities of demolition waste.Iran, with a thriving construction sector, faces escalating waste management issues.This paper provides a comprehensive review of strategies to increase concrete recycling in Iran. It explores the current state of concrete recycling practices, the environmental and economic benefits, and the existing barriers hindering wider adoption.The paper then analyzes various strategies across the concrete life cycle, including: demolition practices, collection and transportation systems, processing technologies, and market development for recycled concrete aggregates (RCAs).Several case studies are examined in order to identify best practices and strategies used by countries with successful concrete recycling programs that provide valuable insights about the factors contributing to their success which will be useful for implementation in Iran.Furthermore, the review concludes with recommendations tailored to the Iranian context, emphasizing the crucial role of collaboration between different stakeholders in Iran.
Effect of Lower Body, Core and Upper Body Kinematic Chain Exercise Protocol on Throwing Performance and Shoulder Muscle Strength Among University Shot Put Athletes – A Randomized Controlled Trial
Authors: K.C Vinod Kumar , Subramanian Shenbaga Sundaram , Mustafa Gaowgzeh Riziq Allah , Ahmed Alsenany Samira , Farghaly Abdelaliem Sally Mohammed , Saeed Alabdullah Amany Anwar , Alfawaz Saad Suleman
Published: May 2024

Background/Objectives: This study looks at how a kinematic chain exercise regimen that targets the lower, core, and upper body affects university shot put participants' shoulder muscle strength and throwing efficiency. This study fills an apparent research void on shot put training approaches by presenting a comprehensive kinematic chain workout program. It was anticipated that this method would improve performance the most, considering the complex biomechanical require-ments of the sport. Methodology: Athletes, seventy in age (19.87 ± 1.31 years), were assigned into two groups at random: experimental (n = 35) and control (n = 35). While the control group carried on with their usual training, the experimental group participated in an 8-week kinematic chain training program, pre- and post-training evaluations were carried out to evaluate shot put throwing ability, shoulder muscle strength, and participant satisfaction with the exercise regimen. Results: demonstrated that, when compared to the control group, the athletes in the kinematic chain program had a significantly improved throwing distance (p = 0.01) and shoulder muscle strength (p = 0.01). Furthermore, there was a significant difference (p = 0.005) in the athletes' satisfaction levels with the workout program among those in the experimental group. This implies that a kinematic chain-focused strategy improves performance and emphasizes the significance this type of training is for shot put athlete performance. Conclusion: As an improvement forward in sports science, the study's finding promotes the inclusion of kinematic chain workouts in shot put training programs and calls for more research on kinematic chain-based approaches in a variety of sports.
Aircraft Wake Evolution Prediction Based on Parallel Hybrid Neural Network Model
Authors: Deng Leilei , Pan Weijun , Wang Yuhao , Luan Tian , Leng Yuanfei
Published: May 2024

To overcome the time-consuming drawbacks of Computational Fluid Dynamics (CFD) numerical simulations, this paper proposes a hybrid model based on a parallel architecture based on the concept of intelligent aerodynamics, named PA-TLA (Parallel Architecture combining TCN, LSTM, and Attention mechanism). This model utilizes CFD data to drive efficient predictions of aircraft wake evolution at different initial altitudes during the approach phase. Initially, CFD simulations of continuous initial altitudes during the approach phase are used to generate aircraft wake evolution data, which are then validated against real-world LIDAR data to verify their reliability. The PA-TLA model is designed based on a parallel architecture, combining Long Short-Term Memory networks (LSTM), Temporal Convolutional Networks (TCN), and a tensor concatenation module based on the attention mechanism, which ensures computational efficiency while fully leveraging the advantages of each component in a parallel processing framework. The study results show that the PA-TLA model outperforms both the LSTM and TCN models in predicting the three characteristic parameters of aircraft wake: vorticity, circulation, and Q-criterion. Compared to the serially structured TCN-LSTM, PA-TLA achieves an average reduction in mean squared error (MSE) by 6.80%, mean absolute error (MAE) by 7.70%, and root mean square error (RMSE) by 4.47%, with an average increase in the coefficient of determination (R²) by 0.36%, and a 35% improvement in prediction efficiency. Lastly, this study combines numerical simulation and the PA-TLA deep learning architecture to analyze the characteristics of wake evolution during the near-ground phase, providing theoretical value for further reducing aircraft wake intervals and enhancing airport operational efficiency.
Energy Governance Systems and Climate Change in the World's Major Economies under the Low Carbon Background
Authors: CHAI Juan
Published: May 2024

In response to escalating global concerns regarding climate change, nations worldwide have been undertaking structural adjustments in their energy sectors to promote diversification and decarbonization. This study conducts a comparative analysis of the policies and measures adopted by major economies, including the United States, the United Kingdom, Japan, Germany, and France, focusing on climate change, energy structural adjustments, and carbon emission reduction. By analyzing recent carbon emission and highlighting achievements in renewable energy promotion, green industry development, industrial restructuring, and energy production decarbonization, this study aims to provide valuable insights and formulate strategies for constructing an innovative energy system that ensures economic and social development while facilitating rapid growth and wide applications of low-carbon energy sources.
Development and Evaluation of the Online Hybrid Model CAMx-LPiG
Authors: Piccoli Andrea , Agresti Valentina , Lonati Giovanni , Pirovano Guido
Published: May 2024

CAMx-LPiG (Comprehensive Air Quality Model with Extensions – Linear Plume in Grid) is an online hybrid model, based on the Chemistry and Transport Model (CTM) CAMx, that includes a sub-grid scale module to simulate the dispersion of linear road traffic emissions, called LPiG. LPiG is a plume in grid module specifically developed by extending the capabilities of the Lagrangian puff sub-grid model available in CAMx. The online integration of the local scale model within the Eulerian CTM allows for a multiscale simulation of air quality from the regional scale to the urban scale, preserving a coherent description of the chemical state of the atmosphere at all spatial scales and avoiding any double counting of the emissions simulated by the sub-grid module. In this work the model is presented and evaluated against measured NO2 concentrations for the city of Milan for the month of January 2017. The model is able to introduce road traffic induced gradient in NO2 concentration at sub-grid resolution. Moreover, CAMx-LPiG is shown to reduce the bias compared to CAMx stand-alone simulations.
Diagnostic Role of MDCT in Acute Mesenteric Ischemia
Authors: Ronza Francesco Michele , Di Gennaro Teresa Letizia , Buzzo Gianfranco , Piccolo Luciana , Della Noce Marina , Giordano Giovanni , Posillico Giuseppe , Mazzei Francesco Giuseppe , Ricci Paolo , Masala Salvatore , Scaglione Mariano , Tamburrini Stefania
Published: May 2024

Mesenteric ischemia diagnosis is challenging with an overall mortality in up to 50% of cases despite advances in treatment. The main problem that affects the outcome is the delayed diagnosis because of non-specific clinical presentation.
Multi Detector CT Angiography (MDCTA) is the first line investigation for the suspected diagnosis of vascular abdominal pathologies and is the diagnostic test of choice in suspected mesenteric bowel ischemia. MDCTA can accurately detect the presence of arterial and venous thrombosis, determine the extension and the gastrointestinal tract involved, and provide detailed information determining the subtype and the stage progression of the diseases helping clinicians and surgeons for the proper management. CT can differentiate forms that are still susceptible to pharmacological or interventional treatment (NOM= non-operative management) from advanced disease with transmural necrosis in which a surgical approach is required. Knowledge of CT imaging patterns and corresponding vascular pathways is mandatory in Emergency settings to reach a prompt and accurate diagnosis. The aims of this paper are 1. to provide technical information about the optimal CTA protocol; 2. To empathize the CTA arterial and venous supply to gastrointestinal tract and relative ischemic pattern; 3. To describe vascular, bowel and extraintestinal CT findings for the diagnosis of acute mesenteric ischemia.
Process of Object-Oriented Design of Gear Size Ranges. Part I: Analysis
Authors: Czader Wiesław , Drewniak Józef , Zhauyt Algazy , Rysiński Jacek , Alipbayev Kuanysh , Aden Alisher
Published: May 2024

Design process can be divided into stages of analysis and synthesis. This paper presents the application of the object-oriented technique to the analysis as well as theoretical considerations concerning to design of gear size ranges. This analysis consists in decomposition of the designed artefact (a gear) according to the rule “from general to details view”. The basics of the object-oriented analysis were formulated. Furthermore, design phases and the objects related to theses phases were discussed. The following models have been considered: hierarchical model, entity-relationship model, data-flow model and object model. Analysis is additionally connected with interactions between particular design phases.
A Comprehensive Research on Unclamped-Inductive-Switching (UIS)-Induced Electrical Parameters Degradations and Optimizations for 4H-SiC Trench MOSFETs Structures
Authors: Liu Li , Guo Jingqi , Shi Yiheng , Zeng Kai , Li Gangpeng
Published: May 2024

In this paper, single and repetitive frequency UIS characteristics of 1200 V asymmetric (AT)and double trench silicon carbide (DT-SiC) metal–oxide-semiconductor field-effect transistors (MOSFETs) under different working conditions are investigated by experiment and simulation. For asymmetric trench SiC MOSFETs, the failure mode is all thermal runaway under working conditions. However, the failure mode of double trench SiC MOSFETs mostly is gate oxide rupture, which indicates an instable avalanche robustness under UIS stress. The variations of measured parameters are recorded to evaluate typical electrical features of device failure. Furthermore, TCAD simulation is used to reveal the electro-thermal stress inside the device during avalanche. Additionally, failed devices are decapsulated to verify the location of failure point from the perspective of the semiconductor die. Finally, a new type of stepped-oxide vertical power DT MOSFET with P-type shielding and current spread layers is proposed for improvement of gate dielectric reliability.
Optimizing of Culture Conditions for the Isolation and Characterization of Extracellular Vesicles Derived from Lactobacillus crispatus PMC201
Authors: Lee Soyeon , Lee Youngkyoung , Choi Dongsic , Yang Haekang , Seo Hoonhee , Song Ho-Yeon
Published: May 2024

Extracellular vesicles (EVs) carry diverse cargo of DNA, RNA, proteins, and lipids. They are crucial mediators for regulating various functions through interactions with the host. Recent investigations suggest that EVs or their constituent proteins derived from probiotics could improve the effectiveness of probiotic strains in disease management compared to probiotic strains themselves. This enhanced effec-tiveness arises from their innate antimicrobial properties, which can specifically target pathogenic mol-ecules or cells, in addition to their significant ability to regulate immune responses. Significantly, previous studies have highlighted the inhibitory potential of Lactobacillus crispatus PMC201 against Mycobacterium tuberculosis. In this study, we focused on optimizing isolation conditions for studying extracellular vesicles and proteins from anti-TB potent strains. We provide analysis results based on food-grade media (FGM) optimization and isolation methods. Nanoparticle tracking analysis (NTA) was used to determine se-cretion patterns. Proteomic analysis was performed by liquid chromatography and tandem mass spec-trometry (LC-MS/MS). A total of 64 proteins were identified in the L. crispatus PMC201 strain, particularly enriched in s-layer and splX. Questions remain about their relevance to anti-TB. This anti-tuber strain has potential as a therapeutic agent, given its significant role in intercellular killing. Further studies are needed to investigate its mechanisms of action.