bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Analysis of Security Attacks for Docker Container Communications
Authors: Lee Haneul , Kwon Soonhong , Lee Jong-Hyouk
Published: February 2023

Docker has become widely used as an open-source platform for packaging and running applications as containers. It is in the limelight especially at companies and IT developers that provide cloud services thanks to its advantages such as the portability of applications and being lightweight. Docker provides communication between multiple containers through internal network configuration, which makes it easier to configure various services by logically connecting containers to each other, but cyberattacks exploiting the vulnerabilities of the Docker container network, e.g., distributed denial of service (DDoS) and cryptocurrency mining attacks, have recently occurred. In this paper, we experiment with cyberattacks such as ARP spoofing, DDoS, and elevation of privilege attacks to show how attackers can execute various attacks and analyze the results in terms of network traffic, CPU consumption, and malicious reverse shell execution. In addition, by examining the attacks from the network perspective of the Docker container environment, we lay the groundwork for detecting and preventing lateral movement attacks that may occur between the Docker containers.
Comparing the Sustainability of Different Powertrains for Urban Use
Authors: Cignini Fabio , Alessandrini Adriano , Ortenzi Fernando , Orecchini Fabio , Santiangeli Adriano , Zuccari Fabrizio
Published: February 2023

The real environment impacts the fuel and energy consumption of any vehicle: technology, physical and social phenomena, traffic, drivers’ behaviour, and so on; many of them are difficult to quantify. The authors’ methodology was used to test the real impact of vehicles in “standard” urban conditions, and many generations of hybrid powertrains are compared. One of the latest performance indexes is the percentage of time the vehicle runs with zero emissions (ZEV). For example, the hybrid vehicle tested ran up to 80% with no emissions and fuel consumption below 3 L per 100 km. A few energy performance indicators were compared between five vehicles: one battery electric vehicle (BEV), two hybrid gasoline–electric vehicles (HEVs), and two traditional vehicles (one diesel and one gasoline). Their potential to use only renewable energy is unrivalled, but today’s vehicles’ performances favour hybrid power trains. This paper summarises the most sustainable powertrain for urban use by comparing experimental data from on-road testing. It also evaluates the benefits of reducing emissions by forecasting the Italian car fleet of 2025 and three use cases of the evolution of car fleets, with a focus on Rome.
Scaling Automated Programming Assessment Systems
Authors: Mekterović Igor , Brkić Ljiljana , Horvat Marko
Published: February 2023

The first automated assessment of student programs was reported more than 60 years ago, but this topic remains relevant and highly topical among computer science researchers and teachers. In the last decade, several factors have contributed to the popularity of this approach, such as the development of massive online courses, where large numbers of students can hardly be assessed manually, the COVID-19 pandemic with a strong online presence and physical relocation of students, and the ever-increasing shortage of personnel in the field CS. Modern Automated Programming Assessment Systems (APASs) are nowadays implemented as web applications. For such web applications, especially those that support immediate (on-demand) program assessments and feedback, it can be quite a challenge to implement the various system modules in a secure and scalable manner. Over the past six years, we have developed and actively deployed “Edgar”—a state-of-the-art APAS that enables immediate program evaluation and feedback in any programming language (SQL, C, Java, etc.). In this article, we look at the APAS web application architecture with a focus on scalability issues. We review fundamental features such as dynamic analysis and untrusted code execution, as well as more complex cases such as static analysis and plagiarism detection, and we summarize the lessons learned over the previous six years of research. We identify scalability challenges, show how they have been addressed in APAS Edgar, and then propose general architectural solutions, building blocks and patterns to address those challenges.
Correlating Edge with Parsing for Human Parsing
Authors: Gong Kai , Wang Xiuying , Tan Shoubiao
Published: February 2023

Human parsing has great application prospects in the field of computer vision, but there are still many problems. In the existing algorithms, the problems of small-scale target location and the problem of background occlusion have not been fully resolved, which will lead to wrong segmentation or incomplete segmentation. Compared with the existing practice of feature concatenation, using the correlation between two factors can make full use of edge information for refined parsing. This paper proposes the mechanism of correlation edge and parsing network (MCEP), which uses the spatial aware and two max-pooling (SMP) module to capture the correlation. The structure mainly includes two steps, namely (1) collection operation, where, through the mutual promotion of edge features and parsing features, more attention is paid to the region of interest around the edge of the human body, and the spatial clues of the human body are collected adaptively, and (2) filtering operation, where parallel max-pooling is adopted to solve the background occlusion problem. Meanwhile, semantic context feature extraction capability is endowed to enhance feature extraction capability and prevent small target detail loss. Through a large number of experiments on multiple single-person and multi-person datasets, this method has greater advantages.
Destination Image Perception Mediated by Experience Quality: The Case of Qingzhou as an Emerging Destination in China
Authors: Guan Li-Ping , Ayob Norazirah , Puah Chin-Hong , Arip Mohammad Affendy , Jong Meng-Chang
Published: February 2023

In recent years, the competition in the tourism market has become more and more fierce. Tourism destinations need to ensure they have sufficient sources of tourists, and thus, improving their market competitiveness, image, and reputation are particularly important. For this reason, tourism academia has always attached great importance to the study of tourism destination image. Many studies have shown that tourists’ travel behavior is largely influenced by their perception of tourism destinations. Research on heritage tourism from the supply perspective is relatively abundant, whereas not much research has been conducted on the demand side, and the influence of heritage tourism on the perception of a destination’s image has rarely been discussed. This study examines destination image perceptions through three components: cognition, affection, and quality of experience. We propose a conceptual model that clarifies how the quality of experience mediates the formation of cognition and affection with regard to emerging destinations in mainland China. This study employed the PLS-SEM discontinuous two-stage approach, which involved the examination of higher-order constructs (HOCs). The results from a sample of 475 visitors to the ancient city of Qingzhou in mainland China showed that cognition positively influences affection, and they both positively influence the overall image. Quality of experience was shown to be a mediating factor between cognition and affection. Moreover, the variables under quality of experience were confirmed to be consistent with those under cognition.
MDP-Based MAC Protocol for WBANs in Edge-Enabled eHealth Systems
Authors: Su Haoru , Pan Meng-Shiuan , Chen Huamin , Liu Xiliang
Published: February 2023

In recent years, eHealth systems based on the Internet of Things (IoT) have attracted considerable attention. The wireless body area network (WBAN) is an essential technology of eHealth systems. A major challenge in WBAN is the design of the medium access control (MAC) protocol, which plays a significant role in avoiding collisions, enhancing the energy efficiency, maximizing the network life, and improving the quality of service (QoS) as well as the quality of experience (QoE). In this study, we apply the mobile edge computing (MEC) network architecture to an eHealth system and design a multi-channel MAC protocol for WBAN based on the Markov decision process (MDP). In this protocol, the channel condition and the reward value are considered. By continuously interacting with the environment, the optimal channel resource allocation strategy is generated. Simulation results indicate that the proposed WBAN MAC protocol can adaptively assign different channels to the sensor nodes for data transmission, thereby reducing the collision rate, decreasing the energy consumption, improving the channel utilization, and enhancing the system throughput and QoE.
A Scientometric Analysis of Deep Learning Approaches for Detecting Fake News
Authors: Dhiman Pummy , Kaur Amandeep , Iwendi Celestine , Mohan Senthil Kumar
Published: February 2023

The unregulated proliferation of counterfeit news creation and dissemination that has been seen in recent years poses a constant threat to democracy. Fake news articles have the power to persuade individuals, leaving them perplexed. This scientometric study examined 569 documents from the Scopus database between 2012 and mid-2022 to look for general research trends, publication and citation structures, authorship and collaboration patterns, bibliographic coupling, and productivity patterns in order to identify fake news using deep learning. For this study, Biblioshiny and VOSviewer were used. The findings of this study clearly demonstrate a trend toward an increase in publications since 2016, and this dissemination of fake news is still an issue from a global perspective. Thematic analysis of papers reveals that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, as well as fake news, are crucial but underdeveloped, while studies on deep fake detection, digital contents, digital forensics, and computer vision constitute niche areas. Furthermore, the results show that China and the USA have the strongest international collaboration, despite India writing more articles. This paper also examines the current state of the art in deep learning techniques for fake news detection, with the goal of providing a potential roadmap for researchers interested in undertaking research in this field.
Comparative Analysis of Remote Sensing and Geo-Statistical Techniques to Quantify Forest Biomass
Authors: Ahmad Naveed , Ullah Saleem , Zhao Na , Mumtaz Faisal , Ali Asad , Ali Anwar , Tariq Aqil , Kareem Mariam , Imran Areeba Binte , Khan Ishfaq Ahmad , Shakir Muhammad
Published: February 2023

Accurately characterizing carbon stock is vital for reporting carbon emissions from forest ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in moist temperate forests in the Galies region of Abbottabad Pakistan. Above-ground biomass (AGB), estimated from 60 field plots, was correlated with vegetation indices obtained from Sentinel-2 image-to-map AGB using regression models. Furthermore, additional explanatory variables were also associated with AGB in the geo-statistical technique, and kriging interpolation was used to predict AGB. The results illustrate that the atmospherically resistant vegetation index (ARVI) is the best index (R2 =0.67) for estimating AGB. In spectral reflectance, Band 1(Coastal Aerosol 443 nm) performs better than other bands. Multiple linear regression models calibrated with ARVI, NNIR and NDVI yielded better results (R2 = 0.46) with the lowest RMSE (48.53) and MAE (38.42) and were therefore considered better for biomass estimation. On the other hand, in the geo-statistical technique, distance to settlements, ARVI and annual precipitation were significantly correlated with biomass compared to others. In the stepwise regression method, the forward selection resulted in a very significant value (less than 0.000) for ARVI. Therefore, it can be considered best for prediction and used to interpolate AGB through kriging. Compared to the geo-statistical technique, the remote sensing-based models performed relatively well. Regarding potential sites for REDD+ implementation, temporal analysis of Landsat images showed a decrease in forest area from 8896.23 ha in 1988 to 7692.03 ha in 2018. Therefore, this study concludes that the state-of-the-art open-source sensor, the Sentinel-2 data, has significant potential for forest biomass and carbon stock estimation and can be used for robust regional AGB estimation with acceptable accuracy and frequent availability.
Climatic Factors Affecting Wild Mushroom Foraging in Central Europe
Authors: Procházka Petr , Soukupová Jana , Tomšík Karel , Mullen Kevin J. , Čábelková Inna
Published: February 2023

Wild mushroom foraging has a long tradition in Central European countries. Protein from wild mushrooms is an important part of Central European diets and has served historically as a meat protein substitute. In view of climate change, this protein source may become scarce. This study investigated the effects of temperature and precipitation on wild mushrooms using the Dickey–Fuller test and ordinary least squares method. The results from the Czech Republic show that when the precipitation change was increased by one unit, the change in the amount of foraged mushrooms went up by twenty-seven tons, while the factor of temperature was found to be statistically insignificant. This indicates that with a decline in precipitation, possibly due to climate change, there will be a decline in the amount of wild mushrooms foraged.
I4.0I: A New Way to Rank How Involved a Company Is in the Industry 4.0 Era
Authors: Zilli Vitória Francesca Biasibetti , Paredes Crovato Cesar David , Righi Rodrigo da Rosa , Mejia Rodrigo Ivan Goytia , Pesenti Giovani , Singh Dhananjay
Published: February 2023

Cloud, IoT, big data, and artificial intelligence are currently very present in the industrial and academic areas, being drivers of technological revolution. Such concepts are closely related to Industry 4.0, which can be defined as the idea of a flexible, technological, and connected factory, encompassing the shop floor itself and its relationship between workers, the chain of supply, and final products. Some studies have already been developed to quantify a company’s level of maturity within the scope of Industry 4.0. However, there is a lack of a global and unique index that, by receiving as input how many implemented technologies a company has, enables its classification and therefore, comparison with other companies of the same genre. Thus, we present the I4.0I (Industry 4.0 Index), an index that allows companies to measure how far they are in Industry 4.0, enabling competitiveness between factories and stimulating economic and technological growth. To assess the method, companies in the technology sector received and answered a questionnaire in which they marked the technologies they used over the years and the income obtained. The results were used to compare the I4.0I with the profit measured in the same period, proving that the greater the use of technology, the greater the benefits for the company.
Chemometric and Physico-Chemical Characterization of Fruit and Olive Oils from Autochthonous Cultivars Grown in Aragon (Spain)
Authors: Rey-Giménez Raquel , Vázquez Ayala Sergio , Laya Reig Diego , Sánchez-Gimeno Ana Cristina
Published: February 2023

Olive tree crops and the olive oil market are becoming less and less diverse due to the rise of intensive growth varieties, with the consequent loss of varietal richness provided by oils from minority and autochthonous cultivars. “Royal de Calatayud” and “Negral de Sabiñán” are two local minority cultivars in Aragon (Spain). Fruit parameters such as ripening, fresh weight, and oil yield were evaluated, as well as physico-chemical and chemical composition parameters in olive oil in comparison with “Arbequina”, a cultivar widespread in Spain and other countries. Fruits were harvested from October to December in 2017 and 2019. Chemometric analysis revealed significant varietal differences among the three cultivars. In comparison with “Arbequina”, higher oil yields were obtained in the two local cultivars. “Royal de Calatayud” has a higher oleic acid content and a greater quantity of phenolic compounds. It thus displays a better nutritional profile than “Arbequina”. This preliminary study shows that “Royal de Calatayud” could be regarded as an excellent alternative to the “Arbequina” cultivar in the parameters analyzed.
Phenotypic Analysis of Fourier-Transform Infrared Milk Spectra in Dairy Goats
Authors: Villar-Hernández Bartolo de Jesús , Amalfitano Nicolò , Cecchinato Alessio , Pazzola Michele , Vacca Giuseppe Massimo , Bittante Giovanni
Published: February 2023

The infrared spectrum of bovine milk is used to predict many interesting traits, whereas there have been few studies on goat milk in this regard. The objective of this study was to characterize the major sources of variation in the absorbance of the infrared spectrum in caprine milk samples. A total of 657 goats belonging to 6 breeds and reared on 20 farms under traditional and modern dairy systems were milk-sampled once. Fourier-transform infrared (FTIR) spectra were taken (2 replicates per sample, 1314 spectra), and each spectrum contained absorbance values at 1060 different wavenumbers (5000 to 930 × cm−1), which were treated as a response variable and analyzed one at a time (i.e., 1060 runs). A mixed model, including the random effects of sample/goat, breed, flock, parity, stage of lactation, and the residual, was used. The pattern and variability of the FTIR spectrum of caprine milk was similar to those of bovine milk. The major sources of variation in the entire spectrum were as follows: sample/goat (33% of the total variance); flock (21%); breed (15%); lactation stage (11%); parity (9%); and the residual unexplained variation (10%). The entire spectrum was segmented into five relatively homogeneous regions. Two of them exhibited very large variations, especially the residual variation. These regions are known to be affected by the absorbance of water, although they also exhibited wide variations in the other sources of variation. The average repeatability of these two regions were 45% and 75%, whereas for the other three regions it was about 99%. The FTIR spectrum of caprine milk could probably be used to predict several traits and to authenticate the origin of goat milk.
Recovery of Biologically Active Compounds from Stinging Nettle Leaves Part II: Processing of Exhausted Plant Material after Supercritical Fluid Extraction
Authors: Đurović Saša , Pezo Lato , Gašić Uroš , Gorjanović Stanislava , Pastor Ferenc , Bazarnova Julia G. , Smyatskaya Yulia A. , Zeković Zoran
Published: February 2023

Stinging nettle (Urtica dioica L.) is one fantastic plant widely used in folk medicine, pharmacy, cosmetics, and food. This plant’s popularity may be explained by its chemical composition, containing a wide range of compounds significant for human health and diet. This study aimed to investigate extracts of exhausted stinging nettle leaves after supercritical fluid extraction obtained using ultrasound and microwave techniques. Extracts were analyzed to obtain insight into the chemical composition and biological activity. These extracts were shown to be more potent than those of previously untreated leaves. The principal component analysis was applied as a pattern recognition tool to visualize the antioxidant capacity and cytotoxic activity of extract obtained from exhausted stinging nettle leaves. An artificial neural network model is presented for the prediction of the antioxidant activity of samples according to polyphenolic profile data, showing a suitable anticipation property (the r2 value during the training cycle for output variables was 0.999).
Glucosinolate Biosynthetic Genes of Cabbage: Genome-Wide Identification, Evolution, and Expression Analysis
Authors: Wang Peng , Cao Wenxue , Yang Limei , Zhang Yangyong , Fang Zhiyuan , Zhuang Mu , Lv Honghao , Wang Yong , Cheng Shanhan , Ji Jialei
Published: February 2023

Cabbage (Brassica oleracea var. capitata) is a vegetable rich in glucosinolates (GSLs) that have proven health benefits. To gain insights into the synthesis of GSLs in cabbage, we systematically analyzed GSLs biosynthetic genes (GBGs) in the entire cabbage genome. In total, 193 cabbage GBGs were identified, which were homologous to 106 GBGs in Arabidopsis thaliana. Most GBGs in cabbage have undergone negative selection. Many homologous GBGs in cabbage and Chinese cabbage differed in expression patterns indicating the unique functions of these homologous GBGs. Spraying five exogenous hormones significantly altered expression levels of GBGs in cabbage. For example, MeJA significantly upregulated side chain extension genes BoIPMILSU1-1 and BoBCAT-3-1, and the expression of core structure construction genes BoCYP83A1 and BoST5C-1, while ETH significantly repressed the expression of side chain extension genes such as BoIPMILSU1-1, BoCYP79B2-1, and BoMAMI-1, and some transcription factors, namely BoMYB28-1, BoMYB34-1, BoMYB76-1, BoCYP79B2-1, and BoMAMI-1. Phylogenetically, the CYP83 family and CYP79B and CYP79F subfamilies may only be involved in GSL synthesis in cruciferous plants. Our unprecedented identification and analysis of GBGs in cabbage at the genome-wide level lays a foundation for the regulation of GSLs synthesis through gene editing and overexpression.
Sequence Characterization of ITS Regions of Immortelle Helichrysum italicum (Roth) G. Don from the East Adriatic Coast
Authors: Hladnik Matjaž , Baruca Arbeiter Alenka , Bandelj Dunja
Published: February 2023

The immortelle (Helichrysum italicum (Roth) G. Don) is a typical perennial plant of natural vegetation in the Mediterranean region, and due to secondary metabolites with several biological properties (anti-inflammatory, antioxidant, antimicrobial, and anti-proliferative), it has become an important species for essential oil production, especially in the cosmetic industry. To increase the production of highly priced essential oils, it has been moved to cultivated fields. However, due to the lack of highly characterized planting material, there is a great need for genotype identification, and to provide a link with chemical profiles and geographic origin as a basis for the identification of local superior genotypes. The aims of the study were to characterize the ITS (ribosomal internal transcribed spacer) regions, ITS1 and ITS2, in samples from the East Adriatic region to determine the possibility of using these regions for plant genetic resources identification. Genetic variation was observed when comparing the ITS sequence variants of samples from the North-East Adriatic and the South-East Adriatic. Some rare and unique ITS sequence variants can be helpful for identifying specific populations from different geographical regions.
Nitrogen Fertilization Improves Growth and Bioactive Compound Content for Salvia miltiorrhiza Bunge
Authors: Xing Zhiheng , Bi Guihong , Li Tongyin , Zhang Qianwen , Knight Patricia R.
Published: February 2023

Salvia miltiorrhiza B., an herb used in traditional Chinese medicine, has been widely used to prevent and treat cardiovascular and other diseases. Currently, the majority of medicinal plants used in the US are imported from foreign countries, which involves transportation, quality control, and other issues. The objective of this study was to investigate the effect of nitrogen fertilization on growth and content of tanshinone I, tanshinone IIA, cryptotanshinone, and salvianolic acid B for Salvia miltiorrhiza B. in Mississippi. Plants were fertilized with one of five nitrogen (N) rates (0, 2, 4, 6, or 8 g N/plant from NH4NO3). Plants were harvested in November 2020 and 2021. Plants treated with 8 g N had higher plant growth index, leaf SPAD value, shoot and root number, shoot and root weight, maximum root length and diameter, shoot: root ratio, N concentration in root, and content of bioactive components compared to plants treated with 0, 2, 4 g N. Plants receiving 6 g N had similar shoot number, maximum root length, maximum root diameter, root weight and content of bioactive components compared to plants receiving 8 g N. However, plants receiving 6 g N had higher photosynthetic activity compared to plants receiving the higher N rate. Higher N rates increased plant growth and content of tested bioactive compounds.
The Impact of Government Governance on Regional Public Health and Development Measures from the Perspective of Ecological Environment
Authors: He Tao , Liu Lulu , Gu Manyi
Published: February 2023

In order to further improve the satisfaction of public health safety, this paper discusses the impact of government governance on the satisfaction of regional public health safety and discusses the effectiveness of government public health governance and development countermeasures. From the perspective of ecological environment protection, combined with the survey data of national urban public health safety satisfaction in the last two years, this paper performs an in-depth empirical analysis on the relationship between government governance, public health governance efficiency, public credibility and regional public health safety satisfaction, as well as the impact mechanism. Through the analysis, it is found that the efficiency of government governance directly affects the satisfaction of regional residents with public health safety. With the help of the intermediary effect test, the significant level standard error of the indirect effect is greater than 1.96, and the confidence interval does not include 0, which proves that the intermediary effect exists. On this basis, the strategy of improving the satisfaction of regional public health security is further analyzed.
Predicting the Severity of Adverse Events on Osteoporosis Drugs Using Attribute Weighted Logistic Regression
Authors: Ibrahim Neveen , Foo Lee Kien , Chua Sook-Ling
Published: February 2023

Osteoporosis is a serious bone disease that affects many people worldwide. Various drugs have been used to treat osteoporosis. However, these drugs may cause severe adverse events in patients. Adverse drug events are harmful reactions caused by drug usage and remain one of the leading causes of death in many countries. Predicting serious adverse drug reactions in the early stages can help save patients’ lives and reduce healthcare costs. Classification methods are commonly used to predict the severity of adverse events. These methods usually assume independence among attributes, which may not be practical in real-world applications. In this paper, a new attribute weighted logistic regression is proposed to predict the severity of adverse drug events. Our method relaxes the assumption of independence among the attributes. An evaluation was performed on osteoporosis data obtained from the United States Food and Drug Administration databases. The results showed that our method achieved a higher recognition performance and outperformed baseline methods in predicting the severity of adverse drug events.
Equity of Elderly Care Facility Allocation in a Multi-Ethnic City under the Aging Background
Authors: He Haolin , Chen Yujia , Liu Yaxin , Gu Yang , Gu Ying
Published: February 2023

Societal concerns in ethnic minority areas are global issues. Paying close attention to the equitable allocation of social resources in an aging population is crucial to preserving the cultural diversity and social stability of multi-ethnic countries. This study took a multi-ethnic city—Kunming (KM), China—as an example. The population aging and the comprehensive service level of elderly care institutions at the township (subdistrict) scale were evaluated to discuss the equity of elderly care facility allocation. This study revealed that the overall convenience of elderly care institutions was low. The coupling coordination between the degree of aging and the service level of elderly care institutions in the majority of areas in KM showed poor adaptation. There is spatial differentiation in population aging and an imbalanced distribution of elderly care facilities and relevant service facilities among ethnic minority communities and other areas in KM. We also attempted to provide optimization recommendations for existing problems. This study, on the degree of population aging, the service level of elderly care institutions, and the degree of coupling coordination between them at the township (subdistrict) scale, offers a theoretical foundation for planning elderly care facilities in multi-ethnic cities.
Diving into the Resolution Process: Parent’s Reactions to Child’s Diagnosis
Authors: Barak-Levy Yael , Paryente Bilha
Published: February 2023

This research presents an in-depth observation of parental resolution regarding a child’s diagnosis with special needs to help counsellors understand the complexities of parental coping. Sixty-two parents of children with Autism Spectrum Disorder/Intellectual Developmental Delay participated in a Reaction to the Diagnosis Interview and a semi-structured interview. Categorical analysis revealed that 59.7% of the parents had reached resolution, with approximately 40% emotional orientation, 40% cognitive orientation, and 20% proactive orientation. Content analysis revealed three themes: emotions—feelings of guilt, shame, and emotional breakdown; thoughts—fear of stigma and concern for the child’s future; actions—concealment, seeking support, and attempts to reject the results of the diagnosis. Whereas most parents were diagnosed as having reached resolution, the content analysis still found complex subject matter suggesting lack of resolution. Research findings show that counsellors should identify the intricate emotional dynamics of parents coping while being cautious of premature coping categorization.
Management of Non-Communicable Diseases in Kosovo: A Scoping Review
Authors: Hoxha Ilir , Apuk Valid , Kryeziu Besfort , Rashiti Premtim , Aliu Mrika , Aquines Alejandro Gonzalez , Khan Olga , Nguyen Ha Thi Hong
Published: February 2023

Background—Non-communicable diseases (NCDs) affect a growing share of the population in Kosovo. The country faces challenges with NCDs management, specifically detecting, screening, and treating people with NCDs. Objective—To assess the management of NCDs, including the inputs that influence the provision of NCDs and outcomes of NCD management. Eligibility criteria—Studies had to report NCD management in Kosovo. Sources of evidence—We systematically searched Google Scholar, PubMed, Scopus, and Web of Science. Charting methods—The data were charted by two researchers. We extracted data on general study details and design and information on the management and outcomes of NCDs in Kosovo. Synthesis of results—For the mix of studies that were included in the review, thematic narrative synthesis was used. We developed a conceptual framework based on health production core components to analyze the data. Results—Kosovo’s health care system is available to provide basic care for patients with NCDs. However, there are serious limitations in the availability of key inputs providing care, i.e., funding, medicines, supplies, and medical staff. Additionally, in terms of the management of NCDs, there are areas for improvement, such as limited application of clinical pathways and guidelines and issues with referrals of patients among levels and sectors of care. Finally, it is worth noting that there is overall limited information on NCD management and outcomes. Conclusions—Kosovo provides only basic services and treatment of NCDs. The data reporting the existing situation on NCD management are limited. The inputs from this review are helpful for existing policy efforts by the government aimed to enhance NCD care in Kosovo. Funding—This study is part of the research done for a World Bank review of the state of NCDs in Kosovo and was funded through the Access Accelerated Trust Fund (P170638).
Vitamin D—A Risk Factor for Bone Fractures in Children: A Population-Based Prospective Case–Control Randomized Cross-Sectional Study
Authors: Herdea Alexandru , Ionescu Adelina , Dragomirescu Mihai-Codrut , Ulici Alexandru
Published: February 2023

Background: Vitamin D is an essential component in calcium metabolism. Seasonality, advanced age, sex, dark skin pigmentation, and limited exposure to sunlight were reported as causes of vitamin D deficiency. This study aims to determine whether children with lower levels of vitamin D suffer more fractures than those with sufficient levels. Materials and Methods: Our institution underwent a prospective case–control randomized cross-sectional single-blinded study that included 688 children. They were split into two groups: the study group and the control group. The study group received supplements of vitamin D and calcium for 6 months. Another reference cohort was observed, which comprised 889 patients in the pediatric ward for different respiratory or gastroenterological conditions without a history of fractures. This group was used for age–sex matching tests. Results: Logistic regression showed that with every one unit increase of vitamin D level, the chance of having a middle third fracture in both bones of the forearm decreased by 7% (OR 1.07); distal third fracture incidence decreased by 1.03 times; middle third radius fracture incidence decreased by 1.03 times; distal third radius fracture incidence decreased by 1.06 times. The risk of having a distal third both-bone forearm fracture increased by 1.06 times with every year of age. Comparing the healing process, we noticed an improvement in bony callus formation for patients in the study group. Conclusions: Dosing the serum level of 25-OH-vitamin D should be taken into consideration for pediatric low-energy trauma fractures. Supplementing with vitamin D and calcium throughout childhood can be a solution for healthy bones. Our preliminary results show that the normal level of vitamin D in children should start at 40 ng/mL.
A Report on the Ke Ola O Ka ‘Āina: ‘Āina Connectedness Scale
Authors: Antonio Mapuana C. K. , Keaulana Samantha , Keli‘iholokai LeShay , Felipe Kaitlynn , Vegas Jetney Kahaulahilahi , Pono Research Hui Waimānalo , Limu Hui Waimānalo ,   Ke Ola O Ka ‘Āina Research Team and Thought Partners, Ho-Lastimosa Ilima
Published: February 2023

Optimal health from a Native Hawaiian worldview is achieved by being pono (righteous) and maintaining lōkahi (balance) with all our relations, including our relationships as Kānaka (humankind) with ‘Āina (land, nature, environment, that which feeds) and Akua (spiritual realm). The purpose of this study is to explore the role of ‘Āina connectedness in Native Hawaiian health and resilience to inform the development of the ‘Āina Connectedness Scale. Qualitative methods were conducted with 40 Native Hawaiian adults throughout Hawai‘i. Three themes emerged: (1) ‘Āina is everything; (2) Connection to ‘Āina is imperative to health; and (3) Intergenerational health, healing, and resilience are reflected through intergenerational connectedness with ‘Āina. Qualitative findings, supplemented with a scoping review of land, nature, and cultural connectedness scales, led to the development of the ‘Āina Connectedness Scale, which examined the degree to which people feel connected to ‘Āina, with implications for future research. ‘Āina connectedness may address concerns related to health disparities that stem from colonization, historical trauma, and environmental changes and better our understanding of Native Hawaiian health by fostering stronger ties to land. Resilience- and ‘Āina-based approaches are critically important to health equity and interventions that aim to improve Native Hawaiian health.
The Influence of Socioeconomic Factors on the Body Characteristics, Proportion, and Health Behavior of Children Aged 6–12 Years
Authors: Nieczuja-Dwojacka Joanna , Borowska Beata , Budnik Alicja , Marchewka-Długońska Justyna , Tabak Izabela , Popielarz Katarzyna
Published: February 2023

Background: The research aimed to determine how socioeconomic factors influence the body structure and health behaviors of children in a suburban commune. Methods: Data from 376 children aged 6.78 to 11.82 years from Jabłonna, Poland, were analyzed. A questionnaire was used to gather information regarding the socioeconomic status and dietary habits of these children, and physical measurements such as height, weight, pelvic width, shoulder width, chest, waist, hip, and arm circumferences, and three skinfolds were taken. Hip index, pelvi-acromial index, Marty’s index, BMI (body mass index), WHR (waist–hip ratio), and the sum of three skinfolds were calculated. One-way analysis of variance, Student’s t-test, and X2 test with p < 0.05 were used. Results: The size of the family and the level of education and occupation of the fathers had a significant impact on the body proportions of the children. Children from larger centers with more educated parents were seen to have healthier eating habits and higher levels of physical activity, and their parents were less likely to smoke cigarettes. Conclusions: It was concluded that the development environment of the parents, such as their level of education and profession, play a more important role than the size of birthplace.
Contribution of Live Video to Physicians’ Remote Assessment of Suspected COVID-19 Patients in an Emergency Medical Communication Centre: A Retrospective Study and Web-Based Survey
Authors: Larribau Robert , Healey Beth , Chappuis Victor Nathan , Boussard Dominique , Guiche Florent , Herren Tara , Gartner Birgit Andrea , Suppan Laurent
Published: February 2023

The COVID-19 pandemic had a major impact on emergency medical communication centres (EMCC). A live video facility was made available to second-line physicians in an EMCC with a first-line paramedic to receive emergency calls. The objective of this study was to measure the contribution of live video to remote medical triage. The single-centre retrospective study included all telephone assessments of patients with suspected COVID-19 symptoms from 01.04.2020 to 30.04.2021 in Geneva, Switzerland. The organisation of the EMCC and the characteristics of patients who called the two emergency lines (official emergency number and COVID-19 number) with suspected COVID-19 symptoms were described. A prospective web-based survey of physicians was conducted during the same period to measure the indications, limitations and impact of live video on their decisions. A total of 8957 patients were included, and 2157 (48.0%) of the 4493 patients assessed on the official emergency number had dyspnoea, 4045 (90.6%) of 4464 patients assessed on the COVID-19 number had flu-like symptoms and 1798 (20.1%) patients were reassessed remotely by a physician, including 405 (22.5%) with live video, successfully in 315 (77.8%) attempts. The web-based survey (107 forms) showed that physicians used live video to assess mainly the breathing (81.3%) and general condition (78.5%) of patients. They felt that their decision was modified in 75.7% (n = 81) of cases and caught 7 (7.7%) patients in a life-threatening emergency. Medical triage decisions for suspected COVID-19 patients are strongly influenced by the use of live video.
How Can Digital Financial Inclusion Promote High-Quality Agricultural Development? The Multiple-Mediation Model Research
Authors: Zhang Hua , Li Ying , Sun Hanxiaoxue , Wang Xiaohui
Published: February 2023

In order to balance the relationship between economics, society and environment, the Chinese government has stated that China’s economy should shift from high-speed growth to high-quality development. Since agriculture is the foundation of the national economy, high-quality development of agriculture plays significant roles in the achievement of food security, social stability and environmental sustainability in China. In practice, the expansion of digital financial inclusion (DFI) seems to provide valuable opportunities for the development of high-quality agriculture. Nevertheless, in theory, the extant literature ignores exploration of the close relationships between DFI and high-quality agricultural development (HQAD). Hence, using Chinese provincial panel data from 2011 to 2020 and structural equation model (SEM) in STATA 16.0, this paper attempts to investigate whether and how DFI can enhance HQAD. Analysis reveals that (1) DFI can directly promote HQAD; (2) DFI can indirectly facilitate HQAD through the mediator of farmland transfer (FLT); (3) DFI can indirectly promote HQAD through the mediator of farmland mechanization level (FML); (4) compared with the benefits brought by “high-mechanization”, the benefits brought by “large-scale” farmland transfer policies are much greater. To our knowledge, our research is one of the first to investigate the direct and indirect effecting mechanisms of DFI’s influence on HQAD from the perspectives of farmland scale and farmland technology.
The Association between Physical and Psychological Domestic Violence Experienced during the COVID-19 Pandemic and Mental Health Symptoms
Authors: Lund Emily M. , Thomas Katie B.
Published: February 2023

Research has shown that rates of domestic violence generally increased during the coronavirus 2019 (COVID-19) pandemic, likely related to mitigation efforts that promoted staying at home and lockdown protocols. However, the link between pandemic-related domestic violence victimization and mental health outcomes has been less explored. The present study examined the possible association between exposure to domestic physical and psychological violence during the COVID-19 pandemic and depressive and post-traumatic stress symptoms (PTSS) in an online sample of American adults recruited in December 2021. Data from 604 participants were analyzed. Forty-four percent of participants (n = 266) reported experiencing physical domestic violence, psychological domestic violence, or both during the pandemic, with psychological violence more commonly reported than physical violence. Exposure to both forms of violence was associated with higher rates of depressive and post-traumatic stress symptoms. Given the high rates and negative associations between psychological domestic violence and mental health symptoms in this sample, healthcare providers should assess for domestic violence exposure even if no indications of physical abuse are present or if there were not concerns about domestic violence exposure prior to the pandemic. Potential psychological sequalae should also be assessed if a patient has a positive history of domestic violence victimization.
Methods and Strategies for Biomonitoring in Occupational Exposure to Plant Protection Products Containing Glyphosate
Authors: Moldovan Horațiu , Imre Silvia , Duca Radu Corneliu , Farczádi Lénárd
Published: February 2023

Glyphosate, and the ever growing reliance on its use in agriculture, has been a point of contention for many years. There have been debates regarding the risk and safety of using glyphosate-based herbicides as well as the effects of occupational, accidental, or systematic. Although there have been a number of studies conducted, the biomonitoring of glyphosate poses a series of challenges. Researchers attempting to determine the occupational exposure face questions regarding the most appropriate analytical techniques and sampling procedures. The present review aims to summarize and synthetize the analytical methodologies available and suitable for the purpose of glyphosate biomonitoring studies as well as discuss the advantages and disadvantages of each analytical technique, from the most modern to more well-established and older ones. The most relevant publications that have described analytical methods and published within the last 12 years were studied. Methods were compared, and the advantages and disadvantages of each methods were discussed. A total of 35 manuscripts describing analytical methods for glyphosate determination were summarized and discussed, with the most relevant one being compared. For methods that were not intended for biological samples, we discussed if they could be used for biomonitoring and approaches to adapt these methods for this purpose.
Dynamic Evolution of Land Use/Land Cover and Its Socioeconomic Driving Forces in Wuhan, China
Authors: Xie Qijiao , Han Yidi , Zhang Liming , Han Zhong
Published: February 2023

Human activities are considered as the main driving forces of land use/land cover (LULC) variation at city scales. Monitoring the dynamic variation of LULC and its socioeconomic driving forces helps to reveal the response of LULC change to human activities and land use policies. However, this issue remains poorly understood. In this study, the spatiotemporal transitions among different LULC types during nearly three decades in Wuhan, China, were modeled in detail using the transfer matrix method. Ten socioeconomic factors indicating the population level, economic condition and social development were selected to quantitatively explain LULC variation. Some typical policies were discussed for the LULC transitions. The results showed that construction land was detected to continuously increase, with the fastest change rate of 560.48% during the 29-year period. Farmland area significantly declined by 1855 km2, decreasing by 31.21%, contributing to 86.14% of the area increase in construction lands. To some extent, the net area increase in construction land was at the expense of farmland area. All 10 indicators considered in this study were positively correlated with the construction land area (R2 of 0.783~0.970) and negatively correlated with farmland area (R2 of 0.861~0.979). In general, social and economic development contributed considerably to urban expansion and cultivated land loss. The largest contributors were non-agricultural population and economic conditions (secondary industry output, primary industry output and local revenues). Governmental guidance and behavior were considered the original impetus for LULC transition, while the impact of land use policies and human activities on LULC transitions varied across the subperiods. These findings provide decision-making support for appropriate urban planning and efficient land use management.
Understanding the Environmentally Sustainable Behavior of Chinese University Students as Tourists: An Integrative Framework
Authors: Wang Zhihui , Nie Liangzhen , Jeronen Eila , Xu Lihua , Chen Meiai
Published: February 2023

The purpose of this study is to develop a theoretical framework by integrating the value-belief-norm (VBN) theory with environmental awareness in measuring Chinese university students’ environmentally sustainable behavior toward tourism destinations. University students tend to engage in sustainability efforts since their values and beliefs are still being formed. The participants were 301 university students from a university in eastern China. The empirical findings demonstrate that: (1) environmental awareness has positive influences on biospheric value, altruistic value and egoistic value; (2) biospheric value positively predicts the new ecological paradigm (NEP), whereas altruistic and egoistic values do not; (3) the NEP, awareness of consequence and personal norms play an important mediating role. Results indicate that extended VBN can explain students’ environmentally sustainable behavior. This research supports the growth of sustainable tourism and has a number of practical implications for universities and the relevant environmental departments to promote university students’ involvement in sustainable tourism.