bluuebunny/crossref_metadata_2025 huggingface dataset:
EDITORIAL, Vol. 3, Nº 3, Edição Especial, 2013
Authors: Carvalho José Ribamar Marques de
Published: July 2024

Caríssimos (as),   Este é o Volume 3, Nº 3, Edição Especial, da REUNIR – Revista de Administração, Contabilidade e Sustentabilidade da UACC/CCJS/UFCG e conta com sete publicações.   O volume faz uma discursão por alguns tópicos de interesse da pesquisa em Administração, Contabilidade e Sustentabilidade. Depois de investigar como as indústrias calçadistas do polo de Campina Grande – PB utilizam o orçamento empresarial no processo de gestão, analisando as contribuições e limitações das práticas orçamentárias no desempenho das empresas estudadas (artigo 1), trata em seguida analisar a qualidade de vida no ambiente de trabalho dos funcionários das empresas que aderem ao projeto EdC, bem como, mais especificamente, àquelas localizadas no Pólo Empresarial Spartaco (artigo 2). A relação entre o impacto do Produto Interno Bruto (PIB) per capita sobre a evolução das vendas da sétima geração de consoles de mesa nas principais regiões consumidoras dessa indústria, no período de 2006 a 2011 é abordado no artigo 3. O artigo 4 realiza uma abordagem quantitativa através de um levantamento bibliométrico realizado nos trabalhos aprovados nos Enanpads do triênio 2009-2011, específicos das seções Cultura e Consumo (em 2009 e 2011) e Consumo, Cultura e Grupos Sociais (em 2010), ambos da Divisão Acadêmica Marketing, no que tange à cooperação acadêmico-científica entre seus autores. No artigo 5 são analisadas as práticas ecológicas e de coleta seletiva adotadas pela Universidade Estadual da Paraíba. Já o artigo 6, analisa os ganhos informacionais gerados pela obrigatoriedade na elaboração da Demonstração de Fluxo de Caixa para o setor público após a aprovação da NBCASP 16.6. O artigo 7 demonstra os motivos que conduzem as empresas a optarem pela terceirização dos serviços de distribuição logística, segundo a visão de um coordenador de operações logísticas. Já o artigo 8, busca analisar o impacto da racionalidade limitada em um ambiente de decisão com base em informações contábeis na perspectiva de profissionais de contabilidade.   Desejamos a todos (as) uma boa leitura!   Prof. José Ribamar Marques de Carvalho Editor Científico – REUNIR Universidade Federal de Campina Grande Centro de Ciências Jurídicas e Sociais, Campus Sousa, PB. Unidade Acadêmica de Ciências Contábeis
Chemical composition of Tagetes hydrolates and in vitro and in vivo evaluation against disease ssociated fungi in strawberry (Fragaria x ananassa)
Authors: Ruíz-González Miguel Ángel , Serrato-Cruz Miguel Ángel , Valadez-Moctezuma Ernestina , Solano-Vidal Roney
Published: July 2024

Background / Objective. Aromatic plants contain chemical compounds with potential to formulate antifungal products. The objective of this study was to characterize the chemical composition in hydrolates of Tagetes species and to evaluate their effect in vitro and in vivo against disease-associated fungi in strawberry. Materials and Methods. The hydrolates of T. coronopifolia, T. minuta, T. parryi and T. terniflora were analyzed by gas chromatography coupled to a mass spectrometry. Hydrolates at 100, 75, 50 and 25 % and Promyl commercial fungicides were evaluated in vitro against Botrytis cinerea, Fusarium oxysporum, Rhizoctonia solani and Ridomil Gold against Phytophthora capsici. In the in vivo evaluation, strawberry plants sprayed with the hydrolates and 24 h later the plants were inoculated with 1 x 106 spore suspension. Data were analyzed by analysis of variance and Turkey’s means test (p ≤ 0.05). Results. Monoterpenes were the major compounds in the four Tagetes species. T. parryi hydrolate in vitro totally inhibited the growth of B. cinerea being effective as a preventive treatment in the in vivo evaluation. F. oxysporum, P. capsici and R. solani were less susceptible to all the hydrolats. Conclusion. T. parryi hydrolate can be applied as a preventative against B. cinerea on strawberry plants.
Bocconia frutescens little leaf, a new plant disease associated to a ´Candidatus Phytoplasma pruni´ related strain in Costa Rica
Authors: Villalobos-Muller William , Garita-Salazar Laura , Conejo-Barboza Ana María , Sandoval-Carvajal Izayana , Montero Astúa Mauricio , Moreira-Carmona Lisela
Published: July 2024

Objective/Background. Bocconia frutescens (Papaveraceae) is a small tree distributed naturally from Mexico to Argentina and the Caribbean Bassin. Bocconia trees showing symptoms resembling phytoplasmas infection, such as little leaves and witches´-broom, were found in Cartago province, Costa Rica. Detection and identification of the potential phytoplasmas associated with B. frutescens little leaf symptoms was the objective out of this study. Materials and Methods. Evaluation of leaves tissue using transmission electron microscopy (TEM), nested PCR using universal and specific primers to amplify phytoplasmas 16S rRNA and secA genes. Nucleotidic sequences (Sanger method) were obtained from amplicons, and used for BLASTn, phylogenetic analyses, and in silico RFLP’s. Results. Presence of phytoplasmas into phloem tissue, only in symptomatic trees, was evidenced by TEM. Comparison of partial sequences (16Sr and secA genes) by BLASTn, in silico RFLP´s and phylogenetic analyses, showed the occurrence of a ´Candidatus Phytoplasma pruni´ related strain in the samples evaluated. Conclusion. Phytoplasmas were found only in the symptomatic B. frutescens trees evaluated. The phytoplasmas were identified as a ´Ca. Phytoplasma pruni´ related strain. This is the first report of B. frutescens as a natural host of ´Ca. Phytoplasma pruni´.
Variability and Correlation-coefficient Analysis for Some Proximate Components of Lablab purpureus (L.) Sweet Genotypes of Assam
Authors: Rajkumari Jinu Devi , Das Dulumoni , Yasmin Jerifar , Ingtipi Werina
Published: July 2024

Background: Lablab purpureus (L.) Sweet is an important and primarily consumed vegetable crop in Assam. Large number of genotypes of Lablab purpureus (L.) Sweet are available in Assam, India, which are prosperous source of the gene pool. However, there has been limited understanding of the genetic background of the various proximate components of Lablab, although we primarily use the crop for these proximate components. The present study helps us understand the genetic background of the various proximate components so that they can be efficiently utilized to further improve the genotypes. Methods: Sixteen (16) genotypes of Lablab purpureus (L.) Sweet of Assam were collected from the 6 (six) Agro-climatic zones of Assam, their genetic variability were assessed and correlation analysis with respect to their proximate components during the period 2020-2023. The various proximate components that were analyzed includes moisture, ash, fibre, fat, crude protein content and total carbohydrate content. Various genetic parametres were also determined which included heritability, genotypic and phenotypic coefficient of variance (GCV and PCV) and genetic advance percentage of mean (GAPM). Result: Significant differences were found among the genotypes in all studied traits in the study. GCV and PCV revealed variability and less influence of the environment that supports the influence of heritable components on traits. High heritability and genetic advance for all the traits indicated action of additive genes. Heritability along with GAPM is a positive indicator of expected progress through selection. The study will help us in understanding the genetic parameters associated with the various proximate components.
The Effect of Buriti Oil (Mauritia flexuosa L.) as Feed Additive on the Organic and Inorganic Materials Digestibility on Heat Stress Exposed Broilers
Authors: Burhanudin  , Sunaryo Hadi Warsito  , Bodhi Agustono  , Nusdianto Triakoso  , Ragil Angga Prastiya  , Faisal Fikri
Published: July 2024

Heat stress due to high environmental conditions can affect the digestibility of organic and inorganic broilers. Buriti oil (Mauritia flexuosa L.) contains antioxidants that can suppress Reactive Oxygen Species (ROS) thereby reducing the negative effects of heat stress. This study aims to determine the effect of adding buriti oil to the ration on the organic and inorganic matter of digestibility in broiler exposed to heat stress. This research was experimental and the method used is the completely randomized design method (CRD). The treatment be carried out on 20 broiler aged 22-35 days who are kept in individual cages. Broiler in the treatment group were given heat stress induction using gasolec up to a temperature 35 ± 1o°C for 4 hours every day. Broiler were randomly selected in 4 treatment groups divided into K- (temperature 27 ± 2°C + complete feed), K+ (exposure to temperature 35 ± 1°C + complete feed), P1 (exposure to temperature 35 ± 1°C + complete feed + 2% buriti oil total feed gram /head /day) and P2 (exposure to temperature 35 ± 1°C + complete feed + 4% buriti oil total feed gram /head /day).
Analisis Kepuasan Masyarakat Terhadap Kehadiran Mal Pelayanan Publik (MPP) di Kota Bandung
Authors: Afifah Zaidiah Nur , Rohimah Nur Siti , Putra Rizky Utama , Septiadi Muhammad Andi
Published: July 2024

The main focus that must be considered by the government is public satisfaction, which is reflected in the establishment of the Public Service Mall (MPP) as an effort to facilitate public access to administrative services. The purpose of this study is to identify the level of public satisfaction with the existence of MPP in Bandung City and analyze the factors that influence satisfaction. This research uses a mixed method, combining qualitative and quantitative methods. The results showed that the people of Bandung City were generally satisfied with the services provided, especially in terms of ease of procedures, speed of service time, fairness of tariffs, and comfort of facilities. The behavioral aspects of service officers related to friendliness and politeness also received high appreciation from the community. However, there are shortcomings, namely the inconsistency of employee attendance at MPP Bandung City. Evaluation continues to be carried out to ensure the improvement of public services in Bandung City. This study concludes that MPP Bandung City has met the standard indicators set out in Permen PAN Number 14 of 2017 by evaluating and continuously improving the aspects of service that are still lacking. This research contributes to improving public satisfaction, shows the importance of active community participation in service evaluation and improvement to improve the quality of public services in the future, and can also be a reference for other local governments that plan to implement MPP in their area.
Keywords: Public Service Mall, Public Satisfaction, Service Quality
Directions for strengthening the protection of software processing state electronic information resources and used at critical infrastructure facilities
Authors: Shevchuk Olha , Zhylin Artem , Mykytiuk Artem , Minochkin Anatolii
Published: July 2024

In the modern world, where more and more aspects of our lives become dependent on computer systems and networks, cybersecurity becomes increasingly critical. One of the key elements of cybersecurity is protecting the software used in these systems. Software can contain vulnerabilities that attackers can exploit to gain unauthorized access to systems, data, and resources. These vulnerabilities may arise from coding errors, improper configurations, or inadequate software updates. Attackers continuously refine their methods and tactics not only to exploit software vulnerabilities but also to influence their emergence by targeting the supply chain. This makes software cybersecurity an increasingly complex challenge. This article addresses the pressing issue of cybersecurity in the context of the proliferation of cyberattacks on software, including supply chain attacks. Examples of known cyberattacks targeting the supply chain are provided. The shortcomings in the existing system of standards and rules for secure software development are highlighted, as well as the lack of security requirements and vulnerability management. A comprehensive approach to ensuring software security is proposed, which includes the development of appropriate requirements, standards, and control mechanisms.
Фреймінг у сучасному регіональному новинному теледискурсі
Authors: Нагорна Ю. О.
Published: July 2024

Статтю присвячено дослідженню особливостей фреймінгу у телевізійних випусках новин регіонального телеканалалу «Київ», окреслено специфічні риси, розглянуто його особливості у новинних сюжетах. Наголошено, що фреймінг сьогодні став засобом, завдяки якому медійники можуть інформувати аудиторію та впливати на неї. Апелювання до емоцій глядачів за допомогою «рамкування» інформації у порядку денному дозволяє журналістам створити модель індивідуальної подачі матеріалу. Зазначено, що фреймінг відіграє важливу роль у медіасистемі, оскільки дозволяє формувати спосіб мислення реципієнтів про певну подію. Окрім того, рамкування передбачає соціальне конструювання дійсності за посередністю медіа. Методом фрейм-аналізу новин проаналізовано коментарі головних героїв сюжетів, підводки журналістів, пряму мову експертів, ключові слова, метафори та мовностилістичні фігури.
Harnessing Biopolymer Gels for Theranostic Applications: Imaging Agent Integration and Real-Time Monitoring of Drug Delivery
Authors: Jirvankar Pranita S , Agrawal Surendra S , Chambhare Nikhita , Agrawal Rishabh
Published: July 2024

Biopolymer gels have gained tremendous potential for therapeutic applications due to their biocompatibility, biodegradability, and ability to adsorb and bind biological fluids, making them attractive for drug delivery and therapy. The versatility of biopolymer gels in theranostic backgrounds, with a focus on integrating imaging features and facilitating real-time monitoring of drug delivery. Different methods of delivery are explored imaging agents into biopolymer gels, including encapsulation, surface functionalization, nanoparticle encapsulation and layer-by-layer assembly techniques. Integration of Agents and Real-Time Monitoring Drug Delivery We summarize the synthesis methods, general properties, and mechanisms of biopolymer gels functionality, demonstrating their broad applications as multimodal systems for imaging-based therapeutics. These techniques not only enable multiple imaging but also provide signal enhancement and imaging a targeted facilitates, increasing the diagnostic accuracy and therapeutic efficacy. In addition, current techniques for incorporating imaging agents into biopolymer gels are discussed, and their role in precise drug delivery and monitoring.
The REPLUMLESS Transcription Factor Controls the Expression of the RECEPTOR-LIKE CYTOPLASMIC KINASE VI_A2 Gene Involved in Shoot and Fruit Patterning of Arabidopsis thaliana
Authors: Kenesi Erzsébet , Beöthy-Fehér Orsolya , Szőllősi Réka , Domonkos Ildikó , Valkai Ildikó , Fehér Attila
Published: July 2024

The promoter of the RECEPTOR-LIKE CYTOPLASMIC KINASE VI_A2 gene contains nine binding sites for the REPLUMLESS transcription factor. In agreement, the expression of the kinase gene was strongly downregulated in the rpl-4 mutant. Comparing phenotypes of loss-of-function mutants, it was revealed that both genes are involved in stem growth, phyllotaxis, organization of the vascular tissues, and the replum, highlighting potential functional interactions. Expression of the RLCKVI_A2 gene from the constitutive 35S promoter could not complement the rpl-4 phenotypes, but exhibited a dominant positive effect on stem growth and affected vascular differentiation and organization. The results also indicated that the number of vascular bundles is independently regulated from stem thickness. Although our study cannot demonstrate the direct link between the RPL and RLVKVI_A2 genes, it highlights the significance of the proper developmental regulation of the RLCKVI_A2 promoter for balanced stem development.
Assessing Perceived Landscape Change From Opportunistic Spatio-Temporal Occurrence Data
Authors: Dunkel Alexander , Burghardt Dirk
Published: July 2024

The exponential growth of user-contributed data provides a comprehensive basis for assessing collective perceptions of landscape change. A variety of possible public data sources exist, such as geospatial data from social media or Volunteered Geographic Information (VGI). Key challenges with such ‘opportunistic’ data sampling are variability in platform popularity and bias due to changing user groups and contribution rules. In this study, we use five case studies to demonstrate how intra- and inter-dataset comparisons can help to assess the temporality of landscape scenic resources, such as identifying seasonal characteristics for a given area, or testing hypotheses about shifting popularity trends observed in the field. By focusing on the consistency and reproducibility of temporal patterns for selected scenic resources and comparisons across different dimensions of data, we aim to contribute to the development of systematic methods for disentangling the perceived impact of events and trends from other technological and social phenomena included in the data. The proposed techniques may help to draw attention to overlooked or underestimated patterns of landscape change, fill in missing data between periodic surveys, or corroborate and support field observations. Despite limitations, the results already provide a comprehensive basis for developing indicators with a high degree of timeliness for monitoring perceived landscape change over time.
Marigold Flower (Tagetes erecta) Extract Microcapsules by Ultrasound-Assisted Extraction and Spray Drying: Antioxidant and Antimicrobial properties
Authors: Oo Nilar , Shiekh Khursheed Ahmad , Jafari Saeid , Kijpatanasilp Isaya , Assatarakul Kitipong
Published: July 2024

Keywords: Response surface methodology; Ultrasonication; marigold flower; polyphenols, microcapsules; antimicrobial activity.
Water Injection for Cloud Cavitation Suppression: Analysis on the Effects of Injection Parameters
Authors: Wang Wei , Li Zhijian , Ji Xiang , Wang Yun , Wang Xiaofang
Published: July 2024

This study investigates cloud cavitation suppression around a model scale NACA66 hydrofoil using active water injection and explores the effect of multiple injection parameters. Numerical simulations and a mixed-level orthogonal test method are employed to systematically analyze the impact of jet angle αjet, jet location Ljet, and jet velocity Ujet on cavitation suppression efficiency and hydrofoil energy performance. The study reveals that jet location has the greatest influence on cavitation suppression, while jet angle has the greatest influence on hydrofoil energy performance. The optimal parameter combination (Ljet = 0.30C, αjet = +60 degrees, Ujet = 3.25 m/s) effectively balances energy performance and cavitation suppression, reducing cavitation volume by 49.34% and improving lift-drag ratio by 8.55%. The study found that the jet's introduction not only enhances vapor condensation and reduces the intensity of the vapor-liquid exchange process but also disrupts the internal structure of cavitation clouds and elevates pressure on the hydrofoil suction surface, thereby effectively suppressing cavitation. Further analysis shows that positive-going horizontal jet components enhance the lift-drag ratio, while negative-going components have a detrimental effect. Jet arrangements near the trailing edge negatively impact both cavitation suppression and energy performance. These findings provide valuable reference for selecting optimal injection parameters to achieve a balance between cavitation suppression and energy performance in hydrodynamic systems.
Contributions of Communication and Management of Bad News in Nursing to the Readaptation Process in Palliative Care: A Scoping Review
Authors: Moura Teresa , Ramos Ana , Sá Eunice , Pinho Lara , Fonseca César
Published: July 2024

: Background. Delivering bad news is a sensitive and challenging aspect of nursing healthcare, requiring a holistic approach that respects patients' preferences, cultural values, and religious beliefs to promote adaptation to the state's health. Aim: map the evidence of the dimensions present in the communication and management of bad news by nurses, with the person in a palliative situation, their caregivers, and family members. Methods: Based on Joanna Briggs Institute methodology, the search was conducted through MEDLINE Complete (EBSCOhost), CINAHL Complete (EBSCOhost), SciELO, and Open Access Scientific Repository in Portugal. From a total of 756 articles, 14 were included, published between 2018 and 2023. Results: Structure components in bad news are influenced by the characteristics of the palliative patients, their caregivers, family members; nurses; and the organizational environment. Promoting the quality of the communication process is desirable through continuous and advanced training in end-of-life; training in bad news; religiously and culturally sensitive nursing interventions centered on hope and maintaining faith; emotional management; and utilization of a checklist protocol. Conclusions: Honest communication allows people to actively participate in the decision-making process and in the trajectory of the care plan that is focused on themselves and their preferences, which has outcomes in functional capacity and readaptation.
Combining KAN with CNN: KonvNeXt's Performance in Remote Sensing and Patent Insights
Authors: Cheon Minjong , Mun Changbae
Published: July 2024

The rapid advancements in satellite technology have led to a significant increase in high-resolution remote sensing (RS) images, necessitating advanced processing methods. Additionally, a patent analysis revealed a significant increase in deep learning and machine learning applications in remote sensing, highlighting the growing importance of these technologies. Therefore, this paper introduces the Kolmogorov-Arnold Network (KAN) model to remote sensing, aiming to enhance efficiency and performance in RS applications. We conducted several experiments to validate KAN's applicability, starting with the EuroSAT dataset, where we combined the KAN layer with multiple pretrained CNN models. The optimal performance was achieved with ConvNeXt, leading to the development of the KonvNeXt model. KonvNeXt was evaluated on the Optimal-31, AID, and Merced datasets for validation, and it achieved accuracies of 90.59%, 94.1%, and 98.1%, respectively. The model also showed fast processing speed, with the Optimal-31 and Merced datasets completed in 107.63 seconds each, while the bigger and more complicated AID dataset took 545.91 seconds. This result is meaningful since it achieved faster speeds and comparable accuracy compared to the existing study which utilized VIT and proved KonvNeXt's applicability for remote sensing classification tasks. Furthermore, we investigated the model's interpretability by utilizing Occlusion Sensitivity and by displaying the influential regions, it validated its potential use in a variety of domains including medical imaging and weather forecasting. This paper is meaningful in that it is the first use of KAN in remote sensing classification, proving its adaptability and efficiency.
Socioeconomic Characteristics And Satisfaction Level Across Forest Products And Vegetable Farming Of The Agroforestry Community In Khost Province, Afghanistan
Authors: Ahmadzai Mujib Rahman , Ismail Mohd Hasmadi , Zaki Pakhriazad Hassan , Magiman Mohd. Maulana , Bawon Paiman
Published: July 2024

Agroforestry practices evolve with the development of basic and advanced facilities, changes in natural and artificial factors of land use change. The study aims to examine the socioeconomic characteristics and compare satisfaction levels across forest products and vegetable farming of the agroforestry community in Khost Province. Data were collected from 662 farmers and was analyzed using univariate Analysis of Variances (ANOVA) and Multivariate Analysis of Variances (MANOVA). The results found that forest and vegetable products, including fruits, berries, herbs, mushrooms, wild animals, oils, wood, honey, okra, eggplant, carrot, cucumber, pine nuts, pepper, and timber has different impact in terms of satisfaction with basic and advanced facilities, knowledge about land use and impacts, natural and artificial factors of land use change, and positive and negative impact of land use change. The limitation of the study included an absence of exogenous factors in the model such as climate change, financial conditions, market fluctuations, regulatory system, an area in which the study is selected, research design, and current condition of endogenous factors. Overall, agroforestry practices can improve the socioeconomic development of agroforestry-dependent communities in Khost Province, Afghanistan. This study provided useful insights for policymakers and development practitioners to promote agroforestry practice adoption and improve the socioeconomic development of agroforestry-dependent communities. Future works could explore the implications of agroforestry practices on the socioeconomic development of other dependent communities in Afghanistan.
A Terminal Residual Vibration Suppression Method of A Robot Based on Joint Trajectory Optimization
Authors: Liang Liang , Wu Chengdong , Liu Shichang
Published: July 2024

Vibration problems have become one of the most important factors affecting robot performance. To this end, a terminal residual vibration suppression method based on joint trajectory optimization is proposed to improve the accuracy and stability of robot motion. Firstly, based on the characteristics of the friction nonlinearity due to joint coupling and physical feasibility of dynamic parameters, a semidefinite programming method is used to identify dynamic parameters with actual physical meaning, thereby obtaining an accurate dynamic model. Then, based on the result of the residual vibration time domain analysis, a joint trajectory optimization model with the goal of minimizing joint tracking error is established. The Chebyshev collocation method is used to discretize the optimization model. The dynamic model is used as the optimization constraint, and barycentric interpolation is used to obtain the optimized joint motion trajectory. Finally, industrial robot experiments prove that the vibration suppression method proposed in this article can reduce the maximum acceleration amplitude of residual vibration by 62% and the vibration duration by 71%. Compared with the input shaping method, the method proposed in this paper can reduce the terminal residual vibration more effectively and ensure the consistency of running time and trajectory.
New Therapeutic Targets in Vitiligo
Authors: Kądziela Marcelina , Kutwin Magdalena , Karp Paulina , Woźniacka Anna
Published: July 2024

Vitiligo is a chronic autoimmune disease characterized by progressive depigmentation of the skin caused by the selective destruction of melanocytes. Although its etiopathogenesis remains unclear, multiple factors are believed to be involved, including genetic and metabolic factors linked to cellular oxidative stress, melanocyte adhesion defects, innate and adaptive immunity. The aim of this review is to provide an overview of the current state of knowledge regarding the role of different cellular mechanisms, including cytokines and chemokines interactions in the pathogenesis of vitiligo. Although there is no definitive cure for vitiligo, excessive progress has been made and several treatments have shown favourable results. A thorough understanding of the basis of the disease, uncover promising drug targets for future research, providing clinical researchers with valuable insights for developing improved treatment options.
Attention Semantic Segmentation Network for Remote Sensing Images of Water Area
Authors: LEE SEUNG JUN , Yoon Hong Sik , Kwak Sang Woo
Published: July 2024

With the rapid developments that have been made in computer vision and computer technology, semantic segmentation of high-resolution images has emerged as a mainstream and challenging task. The, segmentation of water areas remains a complex task due to the similar features between water areas or between water areas and other land objects. Meanwhile, since coastlines and riverbanks are typically presented in irregular shapes, it is difficult to obtain the categories of pixels at boundaries. This paper proposed the use of a Water-Land Boundary Attention Network (WLBANet) to improve the accuracy of pixels at boundaries between water and land. This network also reinforced the performance of contextual information extraction into distinguishing between water areas and other land objects. To prove the validity of this proposed network, WLBANet was performed on the Water Land Dataset (WLD), which is also by this paper, and which contains water areas and other land objects categories. The results demonstrates that the proposed method has significant effectiveness.
CrackScopeNet: A Lightweight Neural Network for Rapid Cracks Detection on Resource-Constrained Drone Platforms
Authors: Zhang Tao , Qin Liwei , Zou Quan , Zhang Liwen , Wang Rongyi , Zhang Heng
Published: July 2024

Detecting cracks in structural health monitoring is crucial for ensuring infrastructure safety and longevity. Using drones to obtain crack images and automate processing can improve the efficiency of crack detection. To address the challenges posed by the limited computing resources of edge devices in practical applications, we propose CrackScopeNet, a lightweight segmentation network model that simultaneously considers local and global crack features, suitable for deployment on drone platforms with limited computational power and memory. CrackScopeNet features a multi-scale branch to improve sensitivity to cracks of varying sizes without substantial computational overhead and a stripe-wise context attention mechanism to enhance the capture of long-range contextual information, mitigating the interference from complex backgrounds. Experimental results on CrackSeg9k dataset demonstrate that CrackScopeNet leads to a significant improvement in prediction performance, with the highest mean intersection over union (mIoU) scores reaching 82.12%, while maintaining a lightweight architecture with only 1.05M parameters and 1.58G floating point operations (FLOPs). Besides, CrackScopeNet excels in inference speed on edge devices without GPU because of its low FLOPs. CrackScopeNet contributes to the development of efficient and effective crack segmentation networks, suitable for practical structural health monitoring applications using drone platforms.
Point Cloud Densification Algorithm for Multiple Cameras and Lidars Data Fusion
Authors: Winter Jakub , Nowak Robert
Published: July 2024

Fusing data from many sources helps to achieve higher results of analysis. In this work, we present a new algorithm to fuse data from multiple cameras with data from multiple lidars. This algorithm was developed to increase the sensitivity and specificity of autonomous vehicle perception systems, where the most accurate sensors measuring the vehicle’s surroundings are cameras and lidar devices. Perception systems based on data from one type of sensor do not use complete information and have lower quality. The camera provides two-dimensional images; lidar produces three-dimensional point clouds. We developed a method for matching pixels on a pair of stereoscopic images using dynamic programming inspired by an algorithm to match sequences of amino acids used in bioinformatics. We improve the quality of the basic algorithm using additional data from edge detectors. We also improve the algorithm performance by reducing the size of matched pixels determined by available car speeds. We perform point cloud densification in the final step of our method, fusing lidar output data with stereovision output. We implemented our algorithm in C++ with Python API, and we provided the open-source library named Stereo PCD. This library very efficiently fuses data from multiple cameras and multiple lidars. In the article, we present the results of our approach to benchmark databases in terms of quality and performance. We compare our algorithm with other popular methods.
Enterprise Architecture Technology, Controls, and Viewpoints
Authors: Towoju Tobi
Published: July 2024

There is a lot of pressures from organizations to continually redesign the business processes and the technology infrastructure to support the organization, but to also help organizations manage competing stakeholder needs, changing objectives and behaviour, and so on. A key part of this is making sure that all their activities in the different components of the business are interconnected and that they are moving in the same direction. Enterprise Architecture (EA) is an effective way of dealing with the challenge of designing business activities and supporting IT. This paper will summarize the organization of EA and look more closely at some major components of EA: governance architecture, business architecture, information architecture and technical architecture and consider the overlap and constructive interaction involved. Enterprise Architecture can be best understood through business process redesign. So, it is useful to briefly review the leading frameworks for business process redesign, including COBIT from ISACA, LEAN from the Toyota Group, TOGAF from the Object-Management Group, and the Capgemini Integrated Architecture Framework (IAF). All these frameworks allow us to more successful transformation, to return to the central idea of this paper.
Influence of Long-Term Humid Ageing and Temperature on the Mechanical Properties of Hybrid FRP Composite Specimens
Authors: Tefera Getahun , Bright Glen , Adali Sarp
Published: July 2024

Present experimental study assesses the mechanical properties of glass/carbon/glass hybrid composite laminates after exposure to moisture and elevated temperatures for extended periods. The top and bottom layers of the hybrid laminates are glass fiber reinforced and the middle layer is carbon fiber reinforced with the matrix specified as a polymer material. The hybrid laminates were manufactured using the resin transfer molding method and their compressive and tensile properties were determined using a tensile testing machine. The material parameters such as the storage modulus, the loss modulus, and the damping factors of the laminates were identified using dynamic mechanical analysis as a function of the temperature and the vibration frequency. The experimental results on compressive and tensile properties revealed slight variations when the hybrid laminates were kept at low temperatures for extended periods. This might occur due to the increasing molecular cross-linking of the polymer network. As the temperature increased, compressive, tensile, storage modules, loss modulus, and damping factors decreased. This might occur due to the increasing mobility of the binder material. Particularly, the highest stiffness parameters were obtained on -80°C/GCG (Glass/Carbon/Glass) laminates due to the presence of beta transition on the glassy region. The relationships between the glass transitions and the targeted frequencies were characterized. The values of the glass transition shift towards higher temperatures as the frequency increases. This might occur due to a reduction in the gaps between the crosslinking of the epoxy network when the frequency increases. The accuracy of the storage modulus results was compared with the empirical models. The model based on the Arrhenius law provided the closest correlation. Meanwhile, another model was observed that was not accurate enough to predict when gamma and beta relaxations occur under a glassy state.
Membrane Localization of RNase Y Is Important for Global Gene Expression in Bacillus subtilis
Authors: Laalami Soumaya , Cavaiuolo Marina , Oberto Jacques , Putzer Harald
Published: July 2024

Abstract: RNase Y is an endoribonuclease that governs global mRNA turnover/processing in Ba-cillus subtilis and likely many other bacteria. The enzyme is anchored at the cell membrane, a pseudo-compartmentalization that appears coherent with its task to initiate decay of mRNAs translated predominantly at the cell periphery. However, the reason and consequence for RNase Y attachment to the membrane are largely unknown. We have studied a strain expressing wild-type levels of a cytoplasmic form of RNase Y from the chromosomal locus. This strain exhibits a slow growth phenotype similar to an RNase Y null mutant. Genome-wide data show a significant effect on the expression of hundreds of genes. Certain RNA substrates clearly require RNase Y membrane attachment but others do not. We found no correlation between mRNA stabilization and the cellular location or function of encoded proteins. The Y-complex, an RNase Y specificity factor, appears to also recognize the cytoplasmic form of the enzyme which is able to restore wild-type levels of the corresponding transcripts. We propose that membrane attachment of RNase Y is required for the functional interaction with many coding and non-coding RNAs, for limiting the cleavage of certain substrates and potentially to avoid unfavorable competition between RNase Y and other ribonucleases like RNase J that have a similar evolutionarily conserved cleavage speci-ficity.
Effects of High-Speed vs. Low-Speed Resistance Training on Neuromuscular and Functional Capacities in Institutionalized Older Adults: A Randomized Controlled Trial
Authors: Magtouf Elmoetez , Peyrot Nicolas , Cherni Yosra , Gaeid Chortane Oussama , Jolibois Jonathan , Rahmani Abderrahmane , Maktouf Wael
Published: July 2024

Objectives: To compare the effects of high-velocity resistance training to slow-velocity re-sistance training on neuromuscular and functional parameters and to analyze the relationship between changes in walking speed and improvements in neuromuscular parameters following intervetions. Methods: 40 participants were randomly assigned to either a high-speed resistance training group (GHS, n = 18; age = 80.41 ± 10.12 years; BMI = 23.81 ± 3.45 kg/m²) or a low-speed resistance training group (GLS, n = 22; age = 82.89 ± 5.32 years; BMI = 23.81 ± 3.45 kg/m²). Before and after the interventions, gait speed (m/s) was assessed using a 10-minute walking test, and relative maximal force (Relative F max, N/kg) was evaluated during maximal voluntary isometric con-traction of the plantar flexors. From the force-time curve, early (0 – 50 ms) and late (100 – 200 ms) rates of force development (RFD) were extracted from the linear slopes (Δ force / Δ time). Results: Gait speed significantly improved in both groups (p < 0.05). However, the improvement was more pronounced in the GHS compared to the GLS (p < 0.05). Relative Fmax showed a more significant increase in the GLS than in the GHS (p < 0.05). Moreover, a significant 10% increase in early RFD in the GLS and a 20.1% increase in the GHS were observed (p < 0.05). The improvement in early RFD was greater in the GHS (p < 0.05). Additionally, late RFD improved significantly only in the GHS (+20.4%, p < 0.05). Conclusion: High-velocity resistance training appears particularly effective in improving the ability to rapidly generate force, which is essential for many daily activities re-quiring explosive movements and quick responses.
Antibody Recognition to the Hyperglucosylated Adhesin Protein HMW1ct of Non Typeable Haemophilus Influenzae in Rett Syndrome
Authors: Real Fernandez Feliciana , Nuti Francesca , Altamore Lorenzo , Hurevich Mattan , Qvit Nir , Ponticiello Eduardo , Rovero Paolo , Hayek Joussef , Papini Anna Maria
Published: July 2024

Rett syndrome (RTT) is an X-linked neurodevelopment disorder associated with the single monogenic mutation in methyl-CpG binding protein 2 (MeCP2) in up to 95% of cases. The growing number of genome-wide association studies and incomplete concordance for autoimmune diseases in monozygotic twins concur to support the involvement of environmental factors, like infectious agents or chemicals, in the breakdown of tolerance leading to autoimmunity. In fact, the coexistence of a perturbation of the immune system in RTT patients has been previously hypothesized. We herein explored the hypothesis that an autoimmune component derived from environmental bacterial infection of non typeable Haemophilus influenzae may coexist in RTT. At this purpose we screened sera from RTT syndrome patients, non-RTT pervasive developmental disorders patients and healthy controls with the hyperglucosylated adhesin protein HMW1ct(Glc) used as a precise antigen in ELISA in order to identify specific antibodies to N-glucosylation sites. Results showed that HMW1ct(Glc) is able to significantly discriminate antibodies among RTT sera and controls. Competitive ELISA confirmed the specific interaction between antibodies characteristic of RTT syndrome and the N-glucosylation motifs of the bacterial adhesin protein HMW1ct(Glc).
Evaluation of Anti-CAR Linker mAbs for CAR T Monitoring After BiTEs/bsAbs and CAR T-cell Pretreatment.
Authors: Grahnert Anja , Seiffert Sabine , Wenk Kerstin , Schmiedel Dominik , Boldt Andreas , Vucinic Vladan , Merz Maximilian , Platzbecker Uwe , Klemann Christian , Ulrike Koehl , Friedrich Maik
Published: July 2024

For monitoring of chimeric antigen receptor (CAR) T-cell therapies antigen-based CAR detection methods are usually applied. However, for each target-antigen a separate detection system is required. Furthermore, when monitoring CAR T-cells in the blood of patients treated with bispecific antibodies or T-cell engagers (bsAbs/BiTEs) recognize the same antigen, these methods producing false-positive results in clinical diagnostics. Anti-CAR-linker monoclonal antibodies (mAbs) targeting the linker sequence between the variable domains of the antigen binding CAR fragment, promise an universal and unbiased CAR detection. To test this, we analyzed clinical specimens of all BCMA- and CD19 targeting CAR T-cell products currently approved for clinical use. We found a highly specific and sensitive CAR detection by using anti-CAR-linker mAb in blood cells from patients treated with Ide-cel, Tisa-cel, Axi-cel, Brexu-cel, and Liso-cel. For Ide-cel and Tisa-cel the sensitivity was significant lower compared to antigen-based CAR detection assays. Strikingly, the specificity of anti-CAR linker mAb was not affected by the simultaneous presence of bispecific blinatumomab or teclistamab for Axi-cel, Brexu-cel, Liso-cel or Ide-cel, respectively. Cilta-cel (containing an monomeric G4S-CAR linker) could not be detected by anti-CAR linker mAb. In conclusion, anti-CAR-linker mAbs are highly specific and useful for CAR T-cell monitoring but not universal applicable.
Optimal Reconfiguration of Electrical Distribution Networks Using the Improved Simulated Annealing Algorithm with Hybrid Cooling (ISA-HC)
Authors: Simeon Pucuhuayla Franklin Jesus , Castillo Correa Carlos , Ñaupari Huatuco Dionicio Zocimo , Molina Rodriguez Yuri Percy
Published: July 2024

This paper presents a new algorithm to solve the optimal reconfiguration problem in distribution networks, using the algorithm called Improved Simulated Annealing combined with Hybrid Cooling (ISA-HC) and Selective Space Search, which leverages the capabilities of the Open Distribution System Simulator (OpenDSS) software and the selective space search concept to enhance performance and reduce the search space. The ISA-HC algorithm determines an adequate starting point for the temperature and initial solution according to the size of the system. For adequate cooling, a three-stage cooling approach was employed to achieve effective cooling, combining two methods widely used in the literature. Overall, the ISA-HC algorithm is a promising method for solving the optimal reconfiguration problem in distribution networks. The algorithm was tested on the systems of 5, 33, 69, and 94 buses and compared to other existing methods in the literature. The results show that the proposed method is more robust and efficient, providing better convergence and reliably achieving good-quality global solutions
Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures
Authors: Maree Mohammed , Shehada Wala’a
Published: July 2024

Digital recruitment systems have revolutionized the hiring paradigm, imparting exceptional efficiencies and extending the reach for both employers and job seekers. This investigation scrutinizes the efficacy of classical machine learning methodologies alongside advanced large language models (LLMs) in aligning resumes with job categories. Traditional matching techniques, such as Logistic Regression, Decision Trees, Naïve Bayes, and Support Vector Machines, are constrained by the necessity of manual feature extraction, limited feature representation, and performance degradation, particularly as dataset size escalates, rendering them less suitable for large-scale applications. Conversely, LLMs like GPT-4, GPT-3, and LLAMA, adeptly process unstructured textual content, capturing nuanced language and context with greater precision. We evaluate these methodologies utilizing two datasets comprising resumes and job descriptions to ascertain accuracy, efficiency, and scalability. Our results reveal that while conventional models excel with structured data, LLMs significantly enhance the interpretation and matching of intricate textual information. This study highlights the transformative potential of LLMs in recruitment, offering insights into their application and future research avenues.
Stages of gastrointestinal microbiota formation and the role of probiotics in the correction of intestinal colic in children of the first months of life
Authors: Bryksina E.Yu. ,   Rostov State Medical University, Rostov-on-Don, Russian Federation, Letifov G.M. , Davydova N.A. , Pervishko O.V. ,   Rostov State Medical University, Rostov-on-Don, Russian Federation,   Rostov State Medical University, Rostov-on-Don, Russian Federation,   Kuban State Medical University, Krasnodar, Russian Federation
Published: July 2024

The physiologic microbiota of the GI tract performs many important functions that coordinate various processes, such as trophic, protective, anti-inflammatory, and immune functions. Transient enzymatic immaturity and immaturity of neuroendocrine regulation of GI motility in newborns creates prerequisites for gastrointestinal dysfunctions that increase with imbalance of the intestinal microbiome, represented by intestinal colic, increased gas formation, gastroesophageal and duodenogastric regurgitation. The objective of the study was to analyze the effectiveness of Probielle® Baby probiotic in the correction of intestinal colic and associated functional GI disorders in children of the first months of life. Patients and methods. The study included 88 children of the first 3 months of life, divided into 3 groups – two main groups receiving Probielle® Baby probiotic and a control group, in which only symptomatic therapy of intestinal colic was performed. The parameters of efficacy assessment included: daily monitoring of crying duration, assessment of stool frequency and consistency, severity of flatulence, frequency and nature of regurgitation, dynamics of intestinal microbiota composition. In order to determine the severity of the intestinal colic syndrome, a score was used. Results. In association with Probielle® Baby, the regression of intestinal colic was more pronounced, and fewer episodes of flatulence and proximal gastroesophageal regurgitation were also noted. Thus, the use of probiotics will significantly increase the effectiveness of complex therapy of gastrointestinal dysfunctions in newborns and children of the first months of life. Key words: microbiota, newborns, immunity, intestinal colic, Probielle Baby