bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital Health Interventions in Older Adult Populations Living With Chronic Disease in High-Income Countries: Protocol for a Scoping Review
Authors: Ashraf Mir Nabila , Gallant Natasha L , Bradley Cara 
Published: March 2024

Background
Globally, around 80% percent of adults aged 65 years or older are living with at least 1 chronic disease, and 68% percent have 2 or more chronic diseases. Older adults living with chronic diseases require greater health care services, but these health care services are not always easily accessible. Furthermore, the COVID-19 pandemic has resulted in unprecedented changes in the provision of health care services for older adults. During the COVID-19 pandemic, digital health interventions for chronic disease management were developed out of necessity, but the evidence regarding these and developed interventions is lacking.

Objective
In this scoping review, we aim to identify available digital health interventions such as emails, text messages, voice messages, telephone calls, video calls, mobile apps, and web-based platforms for chronic disease management for older adults in high-income countries.

Methods
We will follow the Arksey and O’Malley framework to conduct the scoping review. Our full search strategy was developed following a preliminary search on MEDLINE. We will include studies where older adults are at least 65 years of age, living with at least 1 chronic disease (eg, cancer, cardiovascular disease, chronic obstructive pulmonary disease, and diabetes), and residing in high-income countries. Digital health interventions will be broadly defined to include emails, text messages, voice messages, telephone calls, video calls, mobile apps, and web-based platforms.

Results
This scoping review is currently ongoing. As of March 2023, our full search strategy has resulted in a total of 9901 records. We completed the screening of titles and abstracts and obtained 442 abstracts for full-text review. We are aiming to complete our full-text review in October 2024, data extraction in November 2024, and data synthesis in December 2024.

Conclusions
This scoping review will generate evidence that will contribute to the further development of digital health interventions for future chronic disease management among older adults in high-income countries. More evidence-based research is needed to better understand the feasibility and limitations associated with the use of digital health interventions for this population. These evidence-based findings can then be disseminated to decision-makers and policy makers in other high-income countries.

International Registered Report Identifier (IRRID)
DERR1-10.2196/49130
Influence of rice straw and wood fiber combination on physical and mechanical properties of rice straw pulverized composite board
Authors: Dhanapal Sujatha , Singh Mamatha , Nagammanavar Uday 
Published: March 2024

The production of particleboards from various kinds of ligno cellulosic materials are successful on commercial scale in various parts of the country. However, much success is not seen in use of crop residues for particleboards. Rice straw and wheat straw are one such materials that are abundantly available in India that can be used to produce particleboard. The present work investigated the effect of Rice straw particles and wood fibers combination on physical and mechanical properties of the composite board. The pulverized rice straw composite boards were produced with three different composition of rice straw material (100 %, 70 %, 50 %) and wood Fibers (0 %, 30 %, 50 %). Melamine Urea Formaldehyde (MUF), Phenol Cardanol Formaldehyde (PCF), Blocked Isocyanate resin combined with PCF (BPCF), Blocked Isocyanate combined with Urea Melamine Formaldehyde (BUMF) and Blocked Isocyanate combined with PF (BPF) resins were synthesized. The resin system (10%,12%,14%) with requisite additive was admixed with rice straw and wood fibers. According to the resin system employed, the hot press temperature, specific pressure and curing time were worked out for compression of the boards. The boards were produced with 780 - 850 kg/m3 nominal density and prior to testing, the test specimens were exposed to an atmosphere maintained at a relative humidity of 65 ± 5 percent and at a temperature of 27 ± 2 °C until their masses are nearly constant. The boards made were subjected for evaluation of physical and mechanical properties according to IS 3087. It was found that the Rice Straw particles with Wood Fibers of 50-50 combination bonded with PCF and also with MUF adhesive of 12 % resin solids confirms to the requirement of physical and mechanical properties as per IS 3087 particleboards of wood and other lignocellulosic materials (medium density) for general purposes Specification. Comparison with resin for hybrid boards of rice straw particles with wood fiber, BPCF has shown excellent properties than BPF and BUMF. The study indicated that increasing the percentage replacement of wood fibers with rice straw particles by more than 50 % decreased the internal bond strength. It can be concluded that rice straw pulverized particleboard can be successfully made with the combination of 30 % - 50 % wood fibers using PCF resin or BPCF resin.
Uncovering the Significance of Transformational Leadership in Islamic-Based Institutions: A Systematic Exploration
Authors: Jasni Jabran , Mohd Sharip Sharfizie , Daud Dalila 
Published: March 2024

Studies on transformational leadership have shown to be beneficial for employees and organizations, particularly those with an Islamic foundation. Islamic elements present within Islamic institutions seem to have different viewpoints regarding the numerous implications of transformational leadership. To have a clear understanding of the transformational leadership presence in Islamic-based institutions, it is crucial to compile prior literature. Then will ensure the efficiency on effectiveness of transformational leadership in Islamic-based institutions for future reference. Regrettably, there has yet to be enough research that thoroughly reviews the body of knowledge on transformational leadership implications for employees in Islamic-based institutions. Therefore, a thorough literature assessment on the impact of transformational leadership on employees in Islamic-based institutions was conducted in this project. This study used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) review approach to guarantee that the results were of high quality. Two eminent databases, Scopus and Web of Science, as well as one auxiliary database, Google Scholar, were used to retrieve the articles. Two key topics were found through thematic analysis, including 1) employee performance and effectiveness, and 2) employee ethical behavior. Six sub-themes were then created by combining these two primary themes. This research will add to the body of knowledge currently available in the fields of transformational leadership and practical application in institutions with an Islamic foundation. The following are the study's key contributions: 1) pinpointing the beneficial effects of transformational leadership towards employees in Islamic-based organizations, and 2) formulating recommendations for more research in this area.
Threats to the Food Security of the Russian State in the Modern Settings
Authors: Kuzina S. I. , Sagiryan I. G. 
Published: March 2024

Introduction. National security of any state is ensured through development of the various spheres of its life — spiritual, political, military, economic and others. However, the fundamental factor ensuring existence of any society is availability of accessible quality and quantity of food to the citizens. Therefore, the goal of the state socio-economic policy of Russiais to ensure people’s food security. The article analyses the state policy and practices of Russia in countering the threats to the food security of the country in the modern difficult geopolitical settings. The relevance of studying the food security system of the Russian state is induced by one of the priorities of the state socio-economic policy implying the development of the food security threat preventing and countering measures as the fundamental condition of existence of the society. The aim of the study is to analyse the criteria of the state governance efficiency on ensuring the food security of the country, to study the state of the art in this field as well as to identify the existing threats and propose the countering measures. Materials and Methods. The research was conducted using the methods of structural-functional and statistical analysis, content analysis of the normative legal acts in the field of food security, at both national and international levels, the comparative-historical method, comparativism and other methods. Results. The state of the art of the food security system of Russia, which is an integral part of the national security of the state, has been analysed. The regulatory documents and statistical data on the state of the art of the food security of Russia have been investigated. The measures for ensuring the Russian Federation food security have been proposed through expansion of the domestic production of the environmentally friendly and safe for the human health products and other kind of products that is a necessary condition for preserving the population and the nature of our country and the decent standard of living of the Russian citizens. Discussion and Conclusion. The degree of ensuring the state food security has significantly improved, but has not reached the normative threshold values for the whole range of goods. Provision of the high-quality affordable food to the Russian citizens remains a riskogenics factor. The economic sanctions imposed by the Western countries against Russia are a newform of the hybrid warfare. The conclusions drawn upon the research aim to supplement and expand the scientific knowledge on the conditions of ensuring the food security of the Russian state that is the most important concern of the government, because food is the basic condition for existence of all the living beings on the planet. The independence of the state and its national sovereignty depend on ensuring the food security.
Problem Based Learning menggunakan Kompetensi 4C: Implementasi pada Pembelajaran Ekonomi
Authors: Widia Reni , Syamwil Syamwil 
Published: March 2024

This study aims to determine the effect of the 4C (Collaboration, Critical Thinking, Creativity, and Communication) problem-based learning model on the results of economic learning in year XI IPS MAN 2 Kota Padang. The quasi-experimental population of the study consists of students in the all-year XI IPS MAN 2 Kota Padang community. Technique used was purposeful sampling. The trial used a nonequivalent control group design. Prior to using the t-test statistic for hypothesis testing, the normality test and homogeneity test, both having a sig. 5%, were employed as analytical tests. The results of the study showed that the average post-test score for the experimental class, which was 84.50, was higher than the average score for the control class, which was 77.10, according to the study's findings. According to the t-test, tcount = 5,4 and tcount is greater than ttabel. H0 is disapproved whereas this Ha is accepted. Consequently, it was determined that the Problem-Based Learning model had an impact using 4C (Collaboration, Critical Thinking, Creativity, Communication) on student learning outcomes than a conventional model.
Development of risk management approaches in factoring companies
Authors: Golovanov I. D. , Frolova V. B. 
Published: March 2024

Reducing the number of risks and reducing damage from them is the task of every enterprise, including factoring companies. Modern methods of combating fraud and insolvency of counterparties are losing their relevance every day. In such situations, it is necessary to turn to innovations and technologies in the field of financial services, which are already actively used by international companies today and have every chance of their adaptation in the Russian market. The subject of the research is the study and analysis of modern technologies and innovative methods of risk management.The research results consist in identifying the main risks of factoring companies, analyzing existing innovative technologies to combat them and developing proposals for their use in the Russian market
DNA Cleavage and Cytotoxic Activity of Copper(II) Complexes Based on Reduced Schiff Bases Derived From Salicylaldehyde and Amino Acids
Authors: Korcová Jana , Húserková Mária , Lintnerová Lucia , Valentová Jindra 
Published: March 2024

Abstract
Metal complexes, which, under physiologic conditions, show redox properties and are able to bind to DNA, are great tools to cleave the DNA chain. This aspect is of great importance for their use as antineoplastic drugs. We synthesized ligands derived from short-chain amino acids and from salicylaldehyde. The prepared ligands of the type of reduced Schiff bases were subsequently used for the preparation of copper(II) complexes. The aim of the study was in vitro testing of copper(II) complexes, where it was confirmed that they are capable of cleaving DNA. Their cytotoxic activity was also confirmed by the resazurin redox method on Saccharomyces cerevisiae based on preserved healthy mitochondrial function.
Athlete biological passport: longitudinal biomarkers and statistics in the fight against doping
Authors: Dragčević Dora , Pandžić Jakšić Vlatka , Jakšić Ozren 
Published: March 2024

Abstract
As novel substances, short time windows, and limits of detection increasingly challenge direct methods of doping detection in sports, indirect tools inevitably take a greater role in the fight against it. One such tool is the athlete biological passport (ABP) – a longitudinal profiling of the measured haematological and biochemical biomarkers, combined with calculated scores, against the background of epidemiological data crucial for doping detection. In both of its modules, haematological and steroidal, ABP parameters are analysed with the Bayesian adaptive model, which individualises reference and cut-off values to improve its sensitivity. It takes into account the confounding factors with proven and potential influence on the biomarkers, such as race and altitude exposure. The ABP has already changed the fight against doping, but its importance will further grow with the new modules (e.g., endocrinological), parameters (e.g., plasma volume-independent parameters), and complementing indirect methods (e.g., transcriptomic).
Increased oxidative stress in shoe industry workers with low-level exposure to a mixture of volatile organic compounds
Authors: Umićević Nina , Kotur-Stevuljević Jelena , Baralić Katarina , Đukić-Ćosić Danijela , Miljaković Evica Antonijević , Đorđević Aleksandra Buha , Ćurčić Marijana , Bulat Zorica , Antonijević Biljana 
Published: March 2024

Abstract
This study aimed to assess the redox status and trace metal levels in 49 shoe industry workers (11 men and 38 women) occupationally exposed to a mixture of volatile organic compounds (VOCs), which includes aliphatic hydrocarbons, aromatic hydrocarbons, ketones, esters, ethers, and carboxylic acids. All measured VOCs were below the permitted occupational exposure limits. The control group included 50 unexposed participants (25 men and 25 women). The following plasma parameters were analysed: superoxide anion (O2
•−), advanced oxidation protein products (AOPP), total oxidative status (TOS), prooxidant-antioxidant balance (PAB), oxidative stress index (OSI), superoxide dismutase (SOD) and paraoxonase-1 (PON1) enzyme activity, total SH group content (SHG), and total antioxidant status (TAS). Trace metal levels (copper, zinc, iron, magnesium, and manganese) were analysed in whole blood. All oxidative stress and antioxidative defence parameters were higher in the exposed workers than controls, except for PON1 activity. Higher Fe, Mg, and Zn, and lower Cu were observed in the exposed vs control men, while the exposed women had higher Fe and lower Mg, Zn, and Cu than their controls. Our findings confirm that combined exposure to a mixture of VOCs, even at permitted levels, may result in additive or synergistic adverse health effects and related disorders. This raises concern about current risk assessments, which mainly rely on the effects of individual chemicals, and calls for risk assessment approaches that can explain combined exposure to multiple chemicals.
Science-based evidence on pathways and effects of human exposure to micro- and nanoplastics
Authors: Bakan Buket , Kalčec Nikolina , Liu Sijin , Ilić Krunoslav , Qi Yu , Capjak Ivona , Božičević Lucija , Peranić Nikolina , Vrček Ivana Vinković 
Published: March 2024

Abstract
Human exposure to plastic particles has raised great concern among all relevant stakeholders involved in the protection of human health due to the contamination of the food chain, surface waters, and even drinking water as well as due to their persistence and bioaccumulation. Now more than ever, it is critical that we understand the biological fate of plastics and their interaction with different biological systems. Because of the ubiquity of plastic materials in the environment and their toxic potential, it is imperative to gain reliable, regulatory-relevant, science-based data on the effects of plastic micro- and nanoparticles (PMNPs) on human health in order to implement reliable risk assessment and management strategies in the circular economy of plastics. This review presents current knowledge of human-relevant PMNP exposure doses, pathways, and toxic effects. It addresses difficulties in properly assessing plastic exposure and current knowledge gaps and proposes steps that can be taken to underpin health risk perception, assessment, and mitigation through rigorous science-based evidence. Based on the existing scientific data on PMNP adverse health effects, this review brings recommendations on the development of PMNP-specific adverse outcome pathways (AOPs) following the AOP Users’ Handbook of the Organisation for Economic Cooperation and Development (OECD).
Beyond the Initial Export Boost: The Erosion of Trade Agreement Benefits
Authors: Ronen Eyal 
Published: March 2024

Abstract
Preferential trade agreements (PTAs) are widely acclaimed for their potential to mitigate market imperfections and expand export opportunities. However, in changing economic circumstances, these beneficial effects may only endure for a while and often gradually fade, affecting industries unevenly. This study delves into this overlooked phenomenon by exploring Poland‘s export performance in the Western Balkan (WB) region, where the implementation of Stabilization and Association Agreements (SAAs) has evidently generated export growth, primarily driven by tariff reductions, though these gains were manifested disproportionally across sectors. Employing survival analysis, the study validates the positive influence of SAAs on Polish export competitiveness within the WBs while uncovering its temporal erosion and sectoral discrepancies. On average, a 51% and 84% decline in Polish export competitiveness to WBs is observed after 5 and 10 years, respectively. Moreover, a unique dataset on non-tariff measures (NTMs) is employed to identify specific sectors encountering significant NTMs contributing to the reported diverse export patterns. These insights highlight the need for policies that acknowledge the diminishing benefits of trade agreements and mitigate the trade imbalances caused by NTMs.
A Target Recognition Method of Small Sample Based on RCS Data
Authors: Ma Ruocheng , Liu Haoyang , Yu Jun , Hu Zhiyi 
Published: March 2024

Abstract
During the training of target recognition models based on Radar Cross Section (RCS) data, a persistent challenge arises in sampling due to the inherent difficulty in acquiring a sufficient number of samples. This scarcity of data poses a significant impediment to the effective training of models, resulting in diminished accuracy in target recognition. To address this issue, this article proposes a target classification method based on RCS data under small sample conditions. The approach adopts the fundamental concept of Model-Agnostic Meta-Learning (MAML) to train the target recognition model, enhancing the structure of MAML model. An hourglass-shaped convolution layer is introduced to the input layer, with an additional convolution layer preceding the output layer, and a switch to a central loss function. To substantiate the efficacy of the improved MAML model, comprehensive comparative analyses are conducted with benchmark models, including MAML, ResNet 18-layers, Long Short-Term Memory (LSTM), among others. Experimental results conclusively demonstrate the superior performance of the refined MAML model in target recognition under conditions of limited samples, attaining an average prediction accuracy of 85.62%. This signifies a noteworthy 5-percentage-point improvement compared to the baseline model prior to the introduced enhancements.
Indoor Robot SLAM with Multi-Sensor Fusion
Authors: He Jionglin , Fang Jiaxiang , Xu Shuping , Yang Dingzhe 
Published: March 2024

Abstract
In order to solve the problem of large positioning error and incomplete mapping of SLAM based on two-dimensional lidar in indoor environment, a multi-sensor fusion SLAM algorithm for indoor robots was proposed. Aiming at the mismatch problem of the traditional ICP algorithm in the front end of the lidar SLAM, the algorithm adopts the PL-ICP algorithm that is more suitable for the indoor environment, and uses the extended Kalman filter to fuse the wheel odometer and IMU to provide the initial motion estimation value. Then, during the mapping phase, the pseudo 2D laser data converted from the 3D point cloud data obtained by the depth camera is fused with the data obtained from the 2D lidar to compensate for the lack of vertical field of view in the 2D lidar mapping. The final experimental results show that the fusion odometer data has improved the positioning accuracy by at least 33% compared to a single wheeled odometer, providing a higher initial iteration value for the PL-ICP algorithm. At the same time, fusion mapping compensates for the shortcomings of a single two-dimensional lidar mapping, and constructs an environmental map with more complete environmental information.
Face Recognition System Based on Capsule Networks
Authors: Shi JiangRong , Zhao Li 
Published: March 2024

Abstract
This study introduces a technique for facial recognition according to capsule networks. The system utilizes the advantages of capsule networks to model the face features in the image hierarchically, and realizes the efficient recognition of faces. First of all, we know the difference between the capsule network and the convolutional neural network through the study of the operating principle and the structure of the capsule network. Secondly, the Capsule Network is realized through deep research on the algorithm for dynamic routing and the internal operating principle of the capsule. Finally, by conducting experiments on the face dataset and optimizing it with the Adam optimization algorithm as well as the boundary loss and reconstruction loss, the capsule network is promoted to learn more robust feature representations to obtain better face recognition results. The experiments show that the face recognition system based on capsule network can reach 93.5% correct rate of evaluation on WebFace dataset, which achieves a high recognition accuracy. The final results demonstrate the feasibility and effectiveness of capsule networks for face recognition.