bluuebunny/crossref_metadata_2025 huggingface dataset:
Sympathetic Innervation of Interscapular Brown Adipose Tissue is not a Predominant Mediator of Oxytocin-Induced Brown Adipose Tissue Thermogenesis in Female High Fat Diet-Fed Rats
Authors: Dodson Andrew D. , Herbertson Adam J. , Honeycutt Mackenzie K. , Vered Ron , Slattery Jared D. , Goldberg Matvey , Tsui Edison , Wolden-Hanson Tami , Graham James L. , Wietecha Tomasz A. , O'Brien Kevin D. , Havel Peter J. , Sikkema Carl L. , Peskind Elaine R. , Mundinger Thomas O. , Taborsky, Jr. Gerald J. , Blevins James E.
Published: October 2024

Recent studies have indicated that hindbrain [fourth ventricle (4V)] administration of the neurohypophyseal hormone, oxytocin (OT), reduces body weight, energy intake and stimulates interscapular brown adipose tissue temperature (TIBAT) in male diet-induced obese (DIO) rats. What remains unclear is whether chronic hindbrain (4V) OT can impact body weight in female high fat diet-fed (HFD) rodents and whether this involves activation of brown adipose tissue (BAT). We hypothesized that OT-elicited stimulation of sympathetic nervous system (SNS) activation of interscapular brown adipose tissue (IBAT) contributes to its ability to activate BAT and reduce body weight in female high HFD-fed rats. To test this hypothesis, we determined the effect of disrupting SNS activation of IBAT on OT-elicited stimulation of TIBAT and reduction of body weight in DIO rats. We first measured the impact of bilateral surgical SNS denervation to IBAT on the ability of acute 4V OT (0.5, 1, and 5 µg ≈ 0.5, 0.99, and 4.96 nmol) to stimulate TIBAT in female HFD-fed rats. We found that the high dose of 4V OT (5 µg ≈ 4.96 nmol) stimulated TIBAT similarly between sham rats and denervated rats (P=NS). We subsequently measured the effect of bilateral surgical denervation of IBAT on the effect of chronic 4V OT (16 nmol/day ≈ 16.1 mg/day) or vehicle infusion to reduce body weight, adiposity and energy intake in female HFD-fed rats (N=7-8/group). Chronic 4V OT reduced body weight gain (sham: -18.0±4.9 g; denervation: -15.9±3.7 g) and adiposity (sham: -13.9±3.7 g; denervation: -13.6±2.4 g) relative to vehicle treatment (P<0.05) and these effects were similar between groups (P=NS). These effects were attributed, in part, to reduced energy intake evident during weeks 2 (P<0.05) and 3 (P<0.05). To test whether these results translate to other female rodent species, we also examined the effect of chronic 4V infusion of OT on body weight and adiposity in two strains of female HFD-fed mice. Similar to what we found in the HFD-fed rat model, we also found that chronic 4V OT (16 nmol/day) infusion resulted in reduced body weight gain, adiposity and energy intake in female DIO C57BL/6J and DBA/2J mice (P<0.05 vs vehicle). Together, these findings suggest that 1) sympathetic innervation of IBAT is not necessary for OT-elicited increases in BAT thermogenesis and weight loss in female HFD-fed rats and 2) the effects of OT to elicit weight loss translate to other mouse models of diet-induced obesity (DIO).
AI-Driven Data Processing and Decision Optimization in IoT through Edge Computing and Cloud Architecture
Authors: Zhou Shiji , Sun Jun , Xu Kangming
Published: October 2024

This study discussion point of this paper is to make an in-depth analysis of the development impact of the Internet of Things combined with edge computing and artificial intelligence. In the analysis process, the importance and criticality of data processing and decision making of edge computing as well as the challenges faced should be elaborated respectively. With the rapid popularization and development of Internet of Things devices, edge computing has brought more innovative solutions for different application scenarios such as intelligent furniture industrialization, automatic driving and intelligent transportation by reducing the delay of processing data and improving the characteristics of security data, film and television. Resource and energy efficiency have certain limitations, so it is necessary to combine artificial intelligence to enhance edge computing devices, hardware accelerators, and its utility and federated learning technologies, which can effectively improve the performance and scalability of edge computing and promote the development of more self-service network systems for smart devices. The core of this study is how to promote the Internet through AI-driven edge computing to further develop and provide insights for research priorities and suggest related future research directions.
Egg Cryopreservation for Social Reasons-A Literature Review
Authors: Kynigopoulou Stavroula , Matsas Alkis , Tsarna Ermioni , Christopoulou Smaragdi , Panagopoulos Periklis , Bakas Panagiotis , Christopoulos Panagiotis
Published: October 2024

This paper provides an overview of the social reasons that lead women to consider egg cryopreservation, as well as the attitudes and knowledge of women towards this procedure. Methods: For the creation of this article, a literature review was carried out both in the existing medical literature and in search engines. The key points are 1. The main reasons women choose to delay childbearing are the lack of a suitable male partner, education and career advancement, and financial instability. Women feel societal and family pressure to have children, even though they may not feel ready. 2. Women's attitudes towards egg cryopreservation vary. While some are open to the idea, many are opposed to it, especially when it is used for non-medical reasons. There are concerns about the success rates, health risks, and ethical implications of the procedure. 3. The legal and regulatory framework around egg cryopreservation differs across countries. Some countries allow it only for medical reasons, while others have more permissive policies. The issue of who should bear the financial cost of the procedure is also debated. 4. There is a need to better educate women, as well as healthcare providers, about fertility decline and the options available for preserving fertility, including egg cryopreservation.
The Demise of the Spirit of Primitive Federalism of Confucianism: From Duke of Zhou, Confucius to Dong Zhongshu
Authors: Kong Lingkai
Published: October 2024

This study examines the evolution and eventual decline of the spirit of primitive federalism within Confucianism, tracing its trajectory from the time of the Duke of Zhou and Confucius to the significant reinterpretations by Dong Zhongshu. The Duke of Zhou's establishment of a confederation-like system (fengjian) and the "Zhou ritual norms" laid the groundwork for a political structure that embraced diversity and distributed power among vassal states, reflecting a proto-federalist concept. Confucius's teachings continued this legacy, advocating for a return to the balanced systems of the Duke's era, where both the central government and local states shared responsibilities and rights. Transformation happened under Emperor Wu of Han, where Dong Zhongshu re-envisioned the role of feudal lords as administrative extensions of a centralized government, effectively eroding local autonomy and shifting towards a unified, centralized system. This ideological shift involved the suppression of alternative philosophies and the establishment of Confucianism as the state's dominant ideology, leading to a reinterpretation of Confucianism that supported an authoritarian framework and cultural assimilation, thus diminishing the rights of the people. In intrinsic tensions between centralized authority and the pursuit of a more decentralized and inclusive form of governance, Confucian theory was transformed from a federalist theory promoting diversity, and advocating decentralization, to one that legitimized a centralized, unified, and authoritarian system. This cannot help but be lamented as a pity of Confucianism.
Assessing the Polarizing Impacts of Low-Traffic Neighbourhoods: A Community Perspective from Birmingham, UK
Authors: Whelan Isabelle , Luiu Carlo , Pope Francis D.
Published: October 2024

Globally, the transport sector is a major contributor to air pollution. Currently in the UK, vehicle emissions contribute significant amounts of nitrogen oxide (NOx) and particulate matter (PM) pollution in urban areas. Low-emission zones policies have been used as an intervention to tackle air pollution, and in this context, the UK launched the Low- Traffic Neighbourhood scheme. This study investigates the impacts of the Low- Traffic Neighbourhood in Kings Heath, Birmingham, UK, to evaluate its impact in reducing air pollution and local community perspectives about the scheme and perceived impacts on health and well-being. The study employs a mixed-method ap-proach comprising air quality monitoring assessment and a survey questionnaire involving 210 residents. The findings reveal an increase in active travel and a reduction in air pollution levels in the years after the implementation of the scheme, although the area is still non-compliant with the 2021 WHO air quality guidelines. Nonetheless, the scheme has a polarizing effect and created a division within the local community about the overall scheme acceptance and spatial distribution of the scheme’s benefits. The study underscores the importance of comprehensive baseline data, long-term community engagement, and integration with broader urban planning initiatives to enhance the success of future Low-Neighbourhood Traffic schemes.
Optimizing the Lateral and Vertical 2D In2S3 nanoflakes via Chemical Vapor Deposition for Enhanced PEC performance
Authors: Kaur Narinder
Published: October 2024

In the present work, vertically aligned ultrathin 2D In2S3 nanosheets are grown with a chemical vapor deposition technique to enhance the photoresponse by increasing surface area, and optical absorption. The 2D vertically aligned In2S3 nanosheets have shown excellent PEC water-splitting in terms of excellent photocurrent density value of 4.5 mAcm-2, incident photon to current conversion efficiency is 53 % and hydrogen production of 90% has been achieved in the visible region with higher stability. Ultrathin vertically aligned In2S3 nanosheets also show high responsivity, high charge carrier density, lesser recombination rate, and a capacious space charge layer for excellent water-splitting performance. This straightforward method of creating ultrathin 2D nanosheets of In2S3 also has significant potential for other fields where effective absorption and charge separations are required, like photodetection, optical electronics, and gas sensing.
Analyzing the Impact of Ephemerality on the Migration of Users from Conventional to Ephemeral Online Social Networks
Authors: Nayak Surabhi , More Vishal
Published: October 2024

The rise in popularity of online social networks has led a large number of users to share a substantial amount of personal information on these platforms. This trend has caused privacy issues and security concerns among the users since the increased availability of personal data online increases the risk of unauthorized access, identity theft, and misuse of information. In response to these concerns, the ephemeral and anonymous online social networks have emerged in recent years. Platforms like Snapchat, Signal and WhatsApp have enabled a disappearing message setting allowing users to view and share content online for a limited period of time, before its self-destruction. The shift towards ephemeral social networks marks a new development in social media usage. Despite introducing this new dynamic to social media, various issues such as data breaches, cyber-bullying, and misinformation persist and continue to affect both conventional and upcoming social networks adversely. In an attempt to study online social networks from an ephemerality perspective, this study, spanning a period of ten years, employs a survey based approach to compare and analyze the usage patterns of users on conventional and ephemeral social networks over the period of ten years, and seeks to determine the factors affecting the usage and eventual likelihood of users migrating from conventional online social networks to ephemeral social networking platforms.
From Beach Nuisance to an Organic agricultural Input: The Sargassum Story
Authors: Ali Omar , Arsene Marie-Ange , Ramsubhag Adesh , Jayaraman Jayaraj
Published: October 2024

Several environmental and economic issues have been brought about by mass accumulations of Sargassum along the coastlines in Trinidad and Tobago, and the wider Caribbean region. Though there are massive environmental issues associated with this seaweed biomass, there is also a chance to make innovations, thereby making this problem into a solution. The holopelagic species such as S. natans and S. fulitans have considerably high amounts of beneficial compounds which can be leveraged for agriculture. The value chain transformation of Sargassum from a nuisance to a resource for agricultural production is narrated in the following report. Details of the application of products from Sargassum including composts, soil amendments, and liquid biostimulants are given. A case study is presented for OJA1 biostimulant, which was developed from Sargassum biomass at the University of the West Indies, St. Augustine, Trinidad. This biostimulant has shown increased productivity and resistance to diseases of several cash crops. The valorization of Sargassum contributes to sustainable agriculture and propels economic development in coastal communities. The Caribbean could lead with the adoption of the circular economy, turning environmental adversity into a lever for sustainable development.
Human Resource Management in Complex Environments: A Viable Model Based on Systems Thinking
Authors: Aguilar-Fernández Mario , Salgado-Escobar Graciela , Barragán-Hernández Andrés David
Published: October 2024

The study addresses the challenges companies face in increasingly complex environments, which traditional Human Resource Management (HRM) models struggle to address. It proposes a Viable Model of HRM (MV-HRM) based on systems thinking and complex adaptive systems to enhance flexibility and adaptability. This model integrates five interconnected systems: operational processes, information systems, operational control, strategic planning, and governance. The methodology used includes a qualitative literature review to identify existing research gaps and the subsequent design of the MV-HRM using Beer's Viable System Model (VSM). The results show that MV-HRM enhances organizational resilience by promoting self-organization and interaction between systems, which supports agile decision-making in response to external changes. The model highlights the importance of aligning HRM with dynamic environments through effective communication, feedback, and a systemic approach to human capital management. The findings emphasize the need for HR leaders to adopt holistic strategies that integrate internal processes with environmental demands, ensuring long-term sustainability and competitive advantage. The study concludes that understanding HRM as a viable system is essential for addressing the complexity of modern organizational environments.
Corporate Governance Practice and Financial Performance of Microfinance Institutions: Contemporary Literature
Authors: Tura Bekana Dembel
Published: October 2024

The main purpose of this paper is to review systematically both theoretical and empirical literature about the relationship between corporate governance variables and the performance of microfinance institutions. The theoretical reviews were: agency theory stakeholders’ theory, resource dependency theory, stewardship theory, and social contract theory which deal with corporate governance mechanism and their effect on the performance of the firm. Empirical studies carried out in different countries at different times together with different findings were reviewed to compare the effect of corporate governance mechanisms on the performance of microfinance institutions and to establish areas of gaps for further studies. Board characteristics which include size, education, meeting frequency, board composition, and board independence, and their effect on the financial performance of microfinance institutions were discussed. The findings of different scholars show a lack of consistency on the effect of corporate governance variables on the financial performance of Microfinance Institutions so further investigation is required from potential scholars. Finally, theoretical, measurement and methodological drawbacks of previous studies were identified, and significant recommendations were forwarded for future studies in this area.
Polarizing Magnetic Field Effect on Some Electrical Properties of a Ferrofluid in Microwave Field
Authors: Marin Catalin Nicolae , Fannin Paul C. , Malaescu Iosif
Published: October 2024

The complex dielectric permittivity, ε (f, H) = εʹ (f, H)- i εʺ (f, H), in the microwave frequency range f, of (0.1 - 3) GHz and polarizing field values H, in the range of (0 - 135) kA/m, was measured for a kerosene-based ferrofluid with magnetite particles. A relaxation process attributed to interfacial type relaxation was highlighted, determining for the first time in the microwave field, the activation energy of the dielectric relaxation process in the presence of the magnetic field, EA(H), in relation to the activation energy in zero field, EA(H=0). Based on the complex permittivity measurements and the Claussius-Mossotti equation, the dependencies on frequency (f), and magnetic field (H), of the polarizability (α) and electrical conductivity (σ), were determined. From the dependence of α(f,H), the electric dipolar moment, p, of the particles in the ferrofluid, was determined. The conductivity spectrum, σ(f,H), was found to be in agreement with Jonscher's universal law and the electrical conduction mechanism in the ferrofluid was explained using both Mott's VRH (variable range hopping) model and CBH (correlated barrier hopping) model. Based on these models and conductivity measurements, the hopping distance, Rh, of the charge carriers and the maximum barrier height, Wm, for the investigated ferrofluid was determined for the first time in the microwave field. Knowledge of these electrical properties of the ferrofluid in the microwave field is useful for explaining the mechanisms of polarization and control of electrical conductivity with an external magnetic field, in order to use ferrofluids in various technological applications in microwave field.
Accelerating Drug Discovery: GPU-Enhanced Computational Biology Methods for Molecular Docking Simulations and Virtual Screening
Authors: Cit Abi
Published: October 2024

The drug discovery process is a complex and time-consuming endeavor that can greatly benefit from advancements in computational biology. This study explores the implementation of GPU-accelerated computational methods to enhance molecular docking simulations and virtual screening techniques, two crucial components of drug discovery. By leveraging the parallel processing capabilities of Graphics Processing Units (GPUs), we significantly accelerate the analysis of protein-ligand interactions and the identification of potential lead compounds. Our approach utilizes optimized algorithms and software frameworks to achieve substantial speedups over traditional CPU-based methods. Results demonstrate that GPU-accelerated molecular docking simulations and virtual screening can reduce computation times by up to 10-fold, enabling rapid and accurate identification of promising drug candidates. This accelerated workflow has the potential to revolutionize the drug discovery pipeline, facilitating the development of novel therapeutics and reducing the time and cost associated with bringing new treatments to market.
Superpixel Classification with the Aid of Neighborhood for Water Mapping in SAR Imagery
Authors: Miyamoto Tomokazu
Published: October 2024

Water mapping for satellite imagery has been an active research field for many applications, 1 in particular natural disaster such as flood. Synthetic Aperture Radar (SAR) provides high-resolution 2 imagery without constraint on weather conditions. Single-date SAR approach is less accurate than 3 multi-temporal but can produce results more promptly. This paper proposes novel segmentation 4 schemes that are designed to process both a target superpixel and its surrounding ones for the 5 input for machine learning. We devise MISP-SDT/XGB schemes to generate, annotate, and classify 6 superpixels, and perform land/water segmentation of SAR imagery. These schemes are applied to 7 Sentinel-1 SAR data to examine segmentation performances. Introducing single/mask/neighborhood 8 models in the MISP-SDT scheme and single/neighborhood models in the MISP-XGB, we assess the 9 effects of the contextual information about target and its neighbor superpixels on its segmentation 10 performances. As to polarization, it is shown that the VH mode produces more encouraging results 11 than the VV, which is consistent with previous studies. Also, under our MISP-SDT/XGP schemes 12 the neighborhood models show better performances than FCNN models. Overall, the neighborhood 13 model gives better performances than the single model. Results from attention maps and feature 14 importance scores show that neighbor regions are looked at or used by the algorithms in the neighbor- 15 hood models. Our findings suggest that under our schemes the contextual information has positive 16 effects on land/water segmentation.
Requirements of Constrictive Binding and Dynamic Systems on Molecular Cages for Drug Delivery
Authors: Montà-González Giovanni , Martínez-Máñez Ramón , Martí-Centelles Vicente
Published: October 2024

Molecular cages have promising host-guest properties for drug delivery applications. Specifically, guest⊂cage complexes can be used for on-command release of encapsulated guest molecules in response to specific stimuli. This research explores both dynamic and constrictive binding guest⊂cage systems for drug encapsulation and release in biological environments. In dynamic systems, the guest rapidly passes in and out through the portals of the cage, enabling drug delivery in vitro but facing limitations in vivo due to dilution effects that result in guest release. These challenges are addressed by constrictive binding systems, where the guest is trapped in a "gate-closed" state within the cage. In these systems, the on-command release is triggered by a "gate opening" event, which lowers the guest-out energy barrier. The full guest release is achieved when gate opening reduces the cage-guest affinity, making constrictive binding systems more effective for controlled drug delivery. As a result, this study shows that guest⊂cage complexes have suitable properties for drug delivery in biological contexts.
A New Quadratic Transformation Identity for the Confluent Heun Function
Authors: Ishkhanyan Artur
Published: October 2024

We present a new quadratic transformation identity for the confluent Heun function. This transformation is independent of the previously discovered quadratic transformation (Heliyon 10, e36535, 2024) and offers additional insights into the properties of this special function. Like the first transformation, this new identity involves two arbitrary parameters and has potential applications in both mathematical and physical contexts, particularly in quantum mechanics.
Enhancing Environmental Performance: A Method for Identifying and Prioritizing Key Environmental Issues in Industry
Authors: DELISSE Marie , Villot Jonathan , GAUCHER Rodolphe , AMARDEIL Anne , LAFOREST Valérie
Published: October 2024

BAT-based regulations necessitate defining Key Environmental Issues (KEIs) to focus data collection and discussions on the main topics when establishing Best Available Techniques (BATs) at the sector level. However, Article 14 of the Industrial Emissions Directive (IED) suggests that some significant environmental issues may not be covered by BAT conclusions but still require the implementation of BATs at the local level, even in the absence of defined sectoral BAT references. The IED, along with the associated Commission Implementing Decisions and guides, does not offer guidelines for selecting KEIs at the local level, whether by the competent authority or the operator. To ensure full compliance with the IED by installations under its scope, this paper proposes a methodology for determining KEIs locally. Based on the environmental aspects of the installation, the sensitivity of the environment, and the levels of emissions or consumption, this methodology has been tested on a case study at the plant level to demonstrate its effectiveness. The paper then discusses the contributions and limitations of the methodology and suggests areas for future research.
SMI-Capsular Fibrosis and Biofilm Dynamics: Molecular Mechanisms, Clinical Implications, and Antimicrobial Approaches
Authors: Schoberleitner Ines , Lackner Michaela , Coraca-Huber Debora C. , Augustin Angela , Imsirovic Anja , Sigl Stephan , Wolfram Dolores
Published: October 2024

Silicone mammary implants (SMIs) frequently result in capsular fibrosis, which is marked by the overproduction of fibrous tissue surrounding the implant. This review provides a detailed examination of the molecular and immunological mechanisms driving capsular fibrosis, focusing on the role of foreign body responses (FBR) and microbial biofilm formation. We investigate how microbial adhesion to implant surfaces and biofilm development contribute to persistent inflammation and fibrotic responses. The review critically evaluates antimicrobial strategies, including preoperative antiseptic protocols and antimicrobial-impregnated materials, designed to mitigate infection and biofilm-related complications. Additionally, advancements in material science, such as surface modifications and antibiotic-impregnated meshes, are discussed for their potential to reduce capsular fibrosis and prevent contracture of the capsule. By integrating molecular insights with clinical applications, this review aims to elucidate the current understanding of SMI-related fibrotic responses and highlight knowledge gaps. The synthesis of these findings aims to guide future research directions of improved antimicrobial interventions and implant materials, ultimately advancing the management of capsular fibrosis and enhancing patient outcomes.
Evaluating the Protective Role of Intranasally Administered Avian-derived IgY against SARS-CoV-2 in Syrian Hamster Models
Authors: Madai Mónika , Hanna Dániel , Hetényi Roland , Földes Fanni , Lanszki Zsófia , Zana Brigitta , Somogyi Balázs , Papp Henrietta , Kuczmog Anett , Faragó-Sipos Orsolya , Nemes Csaba , Palya Vilmos , Horváth Dávid Géza , Balka Gyula , Bányai Krisztián , Jia Xinkai , Balogh Péter , Kemenesi Gábor , Bajnóczi Pál
Published: October 2024

Background/Objectives: The ongoing COVID-19 pandemic has underscored the need for alternative prophylactic measures, particularly for populations where vaccines may not be effective or accessible. This study aims to evaluate the efficacy of intranasally administered IgY antibodies derived from hen egg yolks as a protective agent against SARS-CoV-2 infection in Syrian golden hamsters, a well-established animal model for COVID-19. Methods: Hens were immunized with the spike protein of SARS-CoV-2 to generate IgY antibodies. These antibodies were extracted from the egg yolks, purified, and their neutralizing activity was tested in vitro. Syrian golden hamsters were then treated with the IgY antibodies before being challenged with SARS-CoV-2. Viral loads were quantified using droplet digital PCR (ddPCR), and lung pathology was assessed through histopathological analysis. Results: The in vitro assays showed that IgY effectively neutralized SARS-CoV-2. In the in vivo hamster model, IgY treatment led to a significant reduction in viral loads and a marked decrease in lung consolidation and inflammation compared to the positive control group. Histopathological findings further supported the protective role of IgY in reducing lung damage caused by SARS-CoV-2. Conclusions: The results demonstrate that IgY antibodies exhibit strong antiviral activity and can significantly reduce SARS-CoV-2 viral loads and associated lung pathology in hamsters. These findings suggest that IgY could be a viable prophylactic option for preventing SARS-CoV-2 infection, particularly for individuals who cannot receive or respond to vaccines. Further studies are warranted to optimize dosage and explore the long-term efficacy of IgY antibodies.
Non-Invasive Gamma Brain Wave Optimization for Cognitive and Emotional Recovery in an Adolescent: A Case Study on REAC NPPO BWO-G Treatment
Authors: Modesto Valeria , Rinaldi Arianna , Rinaldi Salvatore , Fontani Vania
Published: October 2024

This case report describes the application of the REAC (Radio Electric Asymmetric Conveyer) Gamma Brain Wave Optimization (BWO-G) treatment in a 16-year-old female with a history of emotional trauma, depressive symptoms, and gender dysphoria. The patient underwent 18 sessions of REAC NPPO BWO-G, with quantitative electroencephalography (QEEG) conducted pre- and post-treatment. Initial QEEG analyses indicated altered brainwave activity, with peaks in alpha rhythm frequencies in occipital and right posterior temporal areas. Following treatment, significant improvements were observed, including a reduction in delta and theta rhythms and increased alpha and gamma rhythms, corresponding to enhanced cognitive clarity and emotional regulation. Clinically, the patient experienced reduced anxiety, improved mood, heightened social engagement, better auditory tolerance, and resumed weight management. These findings suggest that the REAC NPPO BWO-G treatment may be an effective, non-invasive approach to enhancing cognitive and neuropsychological resilience in individuals with complex psychosocial challenges.
Research on the structure and properties of traditional handmade bamboo paper during the ageing process
Authors: Zhu Zirui , Zhang Kai , Xue Yu , Liu Zhongming , Wang Yujie , Zhang Yanli , Liu Peng , Ji Xingxiang
Published: October 2024

Handmade papers, as carriers of paper-based cultural relics, have played a crucial role in the development of human culture, knowledge, and civilization. Understanding the intricate relationship between the structural properties and degradation mechanisms of handmade papers is essential for the conservation of historical documents. In this work, an artificial dry-heat accelerated ageing method was used to investigate the interplay between the mechanical properties of paper, the degree of polymerization (DP) of cellulose, chemical composition, hydrogen bond strength, crystallinity, and degree of hornification. The results show that the mechanical properties of handmade bamboo paper exhibited a first plateau region, a rapid decline region, and sometimes a second plateau region. A critical point in the mechanical properties of the paper occurs when the cellulose DP decreases to a range of 400-600, signifying a shift from the initial plateau to a sharp decline phase. The strengthening of intermolecular hydrogen bonds and the hornification process help counteract the embrittlement of fibers caused by cellulose chain scission due to DP reduction. A secondary plateau emerges when the DP is smaller than 400, cellulose degradation is slow, and the component content, hydrogen bond strength, crystallinity, and degree of hornification reach a secondary plateau.
Differential Quadrature Free Vibration Analysis of Sandwich Plates with Curvilinear Fiber Variable Stiffness Composite Face Sheets
Authors: Zhou Zhenyu , Liu Yi
Published: October 2024

Free vibration calculations of Sandwich plates with curvilinear fiber variable stiffness composite face sheets usually require a significant computing effort to obtain a high computational accu-racy. In order to get the natural frequencies of sandwich plates with high computational accuracy and low computational cost, an improved approach integrating the differential quadrature method (DQM) and first-order shear deformation theory (FSDT) is introduced in this work. The skins of sandwich plates are composed of one or several layers of variable stiffness composite laminates (VSCL) with fiber paths assumed to follow a specific linear pattern. The FSDT and von Kármán strain–displacement relationship were used to derive the governing equations of the sandwich plate, and DQM was applied to discretize such governing equations and solve for the fundamental frequency of the sandwich plate. The computational results were verified and compared with other FSDT–based computational results, and there was good agreement with the suggested model. Also, the variation patterns of the natural frequency under different pa-rameters such as fiber orientation angles, boundary conditions, number of layers, and core/skin thickness were investigated. This study entailed the development of an efficient solution to the problem of the fundamental frequency of VSCL sandwich plates, and the outcomes could pro-vide a basis for future dynamics comparative studies.
A Fault-Tolerant Control Strategy for Distributed Drive Electric Vehicles Based on Model Reference Adaptive Control
Authors: Zhou Zhigang , Zhang Guanghua , Chen Meizhong
Published: October 2024

Addressing the issue of compromised performance and stability in distributed drive electric vehicles during high-speed operation in the event of motor failure. A fault-tolerant control strategy for distributed drive electric vehicles is proposed, based on Model Reference Adaptive Control (MRAC). First, a seven-degree-of-freedom vehicle dynamics reference model is established, from which the output torque of each wheel during stable operation is determined. Secondly, based on the compensation principle that maintains constant longitudinal speed and total torque before and after the fault, the output torque of the remaining wheels is determined to ensure normal vehicle operation in the event of a single motor failure. To improve torque distribution accuracy, an MRAC controller that takes into account the output hysteresis of the motor is designed. The transfer functions of both the reference model and the actual model are derived. Using Lyapunov's second method, the adaptation rate of the MRAC system is formulated, ensuring that the state of the actual model converges to that of the reference model, thereby achieving adaptive regulation of system parameters and global stability. Finally, simulation experiments are conducted under high-speed dual-lane conditions. The results indicate that, in the case of a single motor failure with constant vehicle speed, the yaw rate and lateral displacement of the vehicle's center of mass decrease, thereby validating the effectiveness of the proposed fault-tolerant control strategy.
The Role of Data Networks and APIs in Enhancing Operational Efficiency in SME: A Systematic Review
Authors: Khanyi Mduduzi , Xaba Sfundo , Mlotshwa Nokunqoba , Thango Bonginkosi , Matshaka Lerato
Published: October 2024

The adoption of Data Networks and Application Programming Interfaces (APIs) has become crucial for small and medium enterprises (SMEs) to streamline operations, improve efficiency, and reduce costs. However, SMEs often face challenges such as resource limitations and security vulnerabilities, which hinder their ability to fully leverage these technologies. This systematic review examines the role of Data Networks and APIs in enhancing operational efficiency within SMEs, focusing on key metrics such as speed, cost reduction, scalability, and security challenges. Following PRISMA 2020 guidelines, we conducted a systematic search across multiple databases including Web of Science, Scopus, IEEE Xplore, and Google Scholar. Studies published between 2014 and 2024, focused on SMEs and addressing the role of Data Networks and APIs in operational efficiency, were included. A total of 49 studies met the inclusion criteria and were analyzed for key outcomes related to operational efficiency, cost-effectiveness, and security risks. The review found that Data Networks and APIs significantly improve operational efficiency by increasing process speed (12% increase), reducing operational costs (8% reduction), and enhancing overall productivity. However, security challenges, particularly related to API vulnerabilities, were a major concern, with cyberattacks on APIs increasing by 400% in Q1 2023 alone. Despite these risks, the benefits of implementing Data Networks and APIs in SMEs, particularly in terms of scalability and real-time data processing, were evident across industries. Data Networks and APIs offer substantial improvements in operational efficiency for SMEs, though security remains a significant challenge. Future efforts should focus on developing security frameworks tailored to SMEs while maintaining the operational benefits of these technologies. Further research is needed to explore scalable and secure API models for SMEs.
Interferon Signaling Activation and LINE1 Expression under Influence of Anticancer Plant Secondary Metabolites
Authors: Vlasova Olga , Antonova Irina , Magomedova Khamis , Osipova Alena , Shtompel Polina , Borunova Anna , Zabotina Tatyana , Belitsky Gennady , Budunova Irina , Jordan Albert , Kirsanov Kirill , Yakubovskaya Marianna
Published: October 2024

Previously we discovered that among 15 DNA-binding plant secondary metabolites (PSMs) possessing anticancer activity, 11 compounds cause depletion of the linker histones H1.2 and/or H1.4 from chromatin fraction. Chromatin remodeling or multiH1 knocking-down is known to promote the upregulation of repetitive elements, ultimately triggering an interferon response. Herein, using HeLa cells and applying fluorescent reporter assay with flow cytometry and quantitave RT-PCR, we found that among PSMs depleting linker histones, 8 compounds significantly activate type I interferon signaling pathway. Out of these compounds resveratrol, berberine, genistein, delphinidin, naringenin and curcumin also caused LINE1 expression detected by quantitate RT-PCR and by immunefluorescent staining analysis of ORF1 LINE1 and γ-H2AX. Fisetin and quercetin, which also induced linker histone depletion, significantly activated only type I interferon signaling, but not LINE1 expression. Curcumin, sanguinarine and kaempferol, causing depletion of the linker histone H1.4 more intensively respectively to H1.2, activate interferon signaling less intensively without any changes of LINE1 expression. For 4 PSMs, which did not cause linker histone depletion, we did not observe effects of interest. Thus, we have shown for the first time that activation of type I interferon signaling accompanies chromatin remodeling caused by PSMs, and LINE1 expression often impacts this activation.
A Modified Novel Validated High-Throughput Hemagglutinin Inhibition Assay Using Recombinant Virus-Like Particles and Human Red Blood Cells for the Objective Evaluation of Recombinant Hemagglutinin Nanoparticle Seasonal Influenza Vaccine
Authors: Vincent Timothy S. , Zhu Mingzhu , Parekh Anand , Patel Urvashi , Cloney-Clark Shane , Klindworth Andrew , Silva David , Gorinson Andrew , Miranda Karlee , Wang Mi , Longacre Zachary , Zhou Bin , Cho Iksung , Cai Rongman , Kalkeri Raj , Fries Louis , Shinde Vivek , Plested Joyce S
Published: October 2024

Currently available seasonal influenza vaccines confer variable protection due to antigenic changes resulting from accumulation of diverse mutations. Analysis of new seasonal influenza vaccines is challenging in part due to limitations of the traditional hemagglutination inhibition (HAI) assay with A/H3N2 strains. An improved and objective novel HAI assay was developed using recombinant virus-like particles (VLPs) and egg-derived virus as agglutinins, oseltamivir treatment of VLPs, human red blood cells, and using an automated image reader-based analysis of hemagglutination. HAI validation was demonstrated using four VLP and egg-derived strains, with 46–56 serum samples tested 12 times in duplicate per strain. The validated HAI assay was precise as indicated by the percent geometric coefficient of variation for intra-, inter-, and total-assay precision, and accurate as evidenced by % bias measurements. The assay exhibited linearity, specificity for homologous type/subtype strains, and sensitivity with a starting dilution of 1:10. Assay robustness and sample stability were demonstrated as a % difference compared to reference condition. Validated HAI results were equivalent for singleton and duplicate sample testing and correlated well with a qualified live wild-type influenza microneutralization assay. These findings demonstrate the suitability of this high-throughput novel modified validated HAI assay, for evaluating vaccine immunogenicity and efficacy.
Weak Sustainability at Regional Scale
Authors: RANDALL ALAN , JONES MACKENZIE , IRWIN ELENA G
Published: October 2024

In principle, weak sustainability, WS, requires that inclusive wealth, IW, be non-decreasing. WS provides a more complete account of the sustainability of a geographical entity (e.g., the world, a nation, or a sub-national region) than sustainability indicators, SIs, on one hand, and conventional economic accounts (e.g., gross domestic product, GDP) on the other. We briefly summarize WS theory, noting that it was developed, implicitly, for a geographical space without internal boundaries. Empirical WS assessment was developed by international bodies (the World Bank and the UN Environmental Program) to shine light upon national governments that might be maintaining the current welfare of their citizens, but investing insufficiently in national assets to maintain intertemporal wealth. In so doing, the need arose to address a suite of issues stemming from national boundaries that may limit the mobility of people, resources, goods and services. WS assessment at sub-national levels (states and counties, in the case of the US) has similar motivations – to provide more complete accountability for regional officials who may be maintaining welfare by consuming assets – but the implications of cross-boundary flows are much greater given the porosity of regional boundaries. WS scholars and practitioners have arrived at a consensus that the appropriate criterion for WS status is IW/capita, i.e. the welfare of people should be sustained. Regional economists and economic geographers tend to associate regional success with population growth, which may increase total IW at some cost to individual welfare. We consider this issue in some depth – what is at issue, and how any conflict might be resolved – ultimately concluding that IW/capita is the appropriate criterion for WS assessment, while leaving broader questions of population ethics unresolved. We summarize recent research [1] that starts with the Arrow et al framework [2] and improves methods of assessing IW, especially its health capital component, and assesses IW/capita for all states and counties in the US. These improved methods reveal substantially more not-WS states and counties than the Arrow et al framework [2]. The not-WS counties exhibit a distinct rural bias, consistent with the hypotheses and empirical findings of regional scientists. Our work demonstrates that regional WS assessment is feasible, produces results that are consistent with prior expectations based on reasoning and empirical research, and has the potential to provide fresh insights into longstanding questions of regional development.
Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures
Authors: Salcedo Edwin
Published: October 2024

Computer vision-based gait recognition (CVGR) is a biometric technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Current CVGR systems often transmit collected data to a cloud server for machine-learning-based gait pattern recognition. While effective, this cloud-centric approach can lead to increased system response times. Alternatively, the emerging paradigm of edge computing, which involves moving computational processes to local devices, offers the potential to reduce latency, enable real-time surveillance, and eliminate reliance on internet connectivity. Furthermore, recent advancements in low-cost, compact microcomputers capable of handling complex inference tasks (e.g., Jetson Nano, Xavier NX, AGX Xavier, Raspberry Pi, and Khadas) have created exciting opportunities for deploying CVGR systems at the edge. This paper reports the state of the art in gait data acquisition modalities, feature representations, models, and architectures for CVGR systems amenable for edge computing. Moreover, this paper addresses the general limitations and highlights new avenues for future research in the promising intersection of CVGR and edge computing.
Investigating the Synergistic Effects of Carvacrol and Citral- edible Polysaccharide based Nanogels on shelf-life extension of Chalkidiki Green Table Olives
Authors: Zaharioudakis Konstantinos , Salmas Constantinos E. , Andritsos Nikolaos D. , Leontiou Areti A. , Moschovas Dimitrios , Karydis-Messinis Andreas , Triantafyllou Eleni , Avgeropoulos Apostolos , Zafeiropoulos Nikolaos E. , Proestos Charalampos , Giannakas Aris E.
Published: October 2024

Nowadays bioeconomy and sustainability trend drive food technology in the development of novel biobased edible food preservatives to enhance food shelf-life and safety. This study explored the development, characterization, and application of novel polysaccharide-based nanogels enhanced with essential oil derivatives carvacrol and citral, investigating their potential synergistic effects as active edible coatings for extending the shelf life of Chalkidiki PDO green table olives. Nanogels were formulated using xanthan gum and kappa-carrageenan and tested in various ratios (25:75, 50:50, 75:25). Physicochemical characterization of nanogels was done via zeta potential dynamic light scattering measurements and scanning electron microscopy images, while preliminary tests demonstrated high antioxidant activity. Antimicrobial assessments revealed significant bactericidal effects, with FIC results confirming a synergistic effect of NGCTCV 50:50 against Staphylococcus aureus and NGCTCV 25:75 and 75:25 against. The nanogel coatings were applied to Chalkidiki green table olives and evaluated over a 21-day storage period. The NGCTCV 50:50 and 25:75 coatings effectively reduced weight loss, maintained stable pH levels, and preserved visual quality, while inhibiting spoilage microorganisms without affecting beneficial lactic acid bacteria crucial for fermentation. Lab colorimetry confirmed the ability of these nanogels to prevent discoloration, maintaining the olives' characteristic green color. Sensory analysis indicated that NGCTCV 50:50 and 25:75 outperformed both individual nanogels and uncoated samples, effectively extending shelf life by over 14 days. Finally, this study demonstrates the potential of polysaccharide-based nanogels, particularly in the 50:50 and 25:75 ratios, for improving the shelf life of perishable food products, with promising applications in fermented food preservation.