bluuebunny/crossref_metadata_2025 huggingface dataset:
A Real-Time Fault-Tolerant Control Approach to Ensure the Resiliency of a Self-Healing Multilevel Converter
Authors: Ahmadi Sajjad , Poure Philippe , Khaburi Davood Arab , Saadate Shahrokh
Published: June 2022

Ensuring service continuity in safety critical applications is crucial. In some of these applications, multilevel converters play a vital role. In this regard, this research work presents a self-healing fault-tolerant control approach to ensure the resiliency of a neutral-point clamped converter when a semiconductor component encounters an open circuit fault. The defective semiconductor can be a power switch or a clamping diode. By applying the proposed real-time fault-tolerance control, the rated output voltage and output current are restored during post-fault operation. Furthermore, the total harmonic distortion value of the output voltage during application of the real time self-healing control does not increase when compared with that during healthy operation. Since the realization of the proposed control strategy does not require any bidirectional switch, a fast transition between the healthy and fault-tolerant operation is accomplished. Moreover, the proposed structure can ensure service continuity in case of a fault event in the anti-parallel diodes, something which has been overlooked in previously conducted research works.
A Multi-Agent Adaptive Architecture for Smart-Grid-Intrusion Detection and Prevention
Authors: Kisielewicz Tomasz , Stanek Stanislaw , Zytniewski Mariusz
Published: June 2022

The present paper deals with selected aspects of energy prosumers’ security needs. The analysis reported aim to illustrate the concept of the implementation of intrusion-detection systems (IDS)/intrusion-prevention systems (IPS), as supporting agent systems for smart grids. The contribution proposes the architecture of an agent system aimed at collecting, processing, monitoring, and possibly reacting to changes in the smart grid. Furthermore, an algorithm is proposed to support the construction of a smart-grid-operating profile, based on a set of parameters describing the devices. Its application is presented in the example of data collected from the network, indicating the process of building a device-operation profile and a possible mechanism for detecting its changes. The proposed algorithm for building the operating profile of devices in the smart grid, based on the mechanism of continuous learning by the system, allows for detecting network malfunctions not only in terms of individual events but also regarding limits of the scope of system alerts, by determining the typical behavior of devices in the smart grid. The paper gives recommendations to a software-agent system development, which is dedicated to detecting and preventing anomalies in smart grids.
Economic Analysis of Heat Distribution Concepts for a Small Solar District Heating System
Authors: Andersen Martin , Bales Chris , Dalenbäck Jan-Olof
Published: June 2022

One challenge in today’s district heating systems is the relatively high distribution heat loss. Lowering distribution temperatures is one way to reduce operational costs resulting from high heat losses, while changing the distribution system from steel pipes to plastic pipes and changing the heat distribution concept can reduce investment costs. The result is that the overall life cycle cost of the district heating system is reduced, leading to the improved cost competitiveness of district heating versus individual heating options. The main aim of this study was to determine the most cost-efficient distribution system for a theoretical solar district heating system, by comparing the marginal life cycle cost of two different distribution systems. A secondary aim was to determine the influence of the employed pipe type and insulation level on the marginal life cycle cost by comparing detailed economic calculations, including differences in pipe installation costs and construction costs, among others. A small solar-assisted district heating system has been modeled in TRNSYS based on a real system, and this “hybrid” model is used as a basis for a second model where a novel distribution system is employed and the heating network operating temperature is changed. Results indicate that a novel distribution concept with lower network temperatures and central domestic hot water preparation is most efficient both from an energy and cost perspective. The total life cycle costs vary less than 2% for a given distribution concept when using different pipe types and insulation classes, indicating that the investment costs are more significant than operational costs in reducing life cycle costs. The largest difference in life cycle cost is observed by changing the distribution concept, the novel concept having approximately 24% lower marginal life cycle cost than the “hybrid” system.
Coordinated Reactive Power Control with a Variable Shunt Reactor and an Inverter-Based Wind Power Plant
Authors: Song Seung-Ho , Kim Soo-Bin
Published: June 2022

Underground or submarine cables have a higher capacitance component than overhead lines, and they inject a large amount of capacitive reactive power into the system. A separate reactive power compensation device is required in order for a wind power plant (WPP) connected to the public network with a cable to meet the reactive power requirements required by the grid code. In this paper, a reactive power control using a variable shunt reactor (VSR) was proposed to satisfy the reactive power requirement required by the grid code for a WPP connected to the grid through a cable. The proposed reactive power control method compensates for the capacitive reactive power of the cable by using a VSR, and it follows the reactive power command through the reactive power control of a WPP. In the section where it is difficult to follow the WPP reactive power command only with the reactive power capacity of a WPP due to cable losses or a cable reactive power compensation error of the VSR, the reactive power control is additionally supported through the hysteresis control of the VSR. The proposed method satisfies the grid codes, and it enables fast and accurate reactive power control. The performance of the proposed method was verified through simulation using MATLAB/Simulink.
The Effect of Single Sandstone Stacking Pattern on the Sandstone Reservoir Physical Properties—A Case Study from the Shanxi Formation in the Daniudi Area, Northeastern Ordos Basin
Authors: He Yun , Guo Hengwei , Lan Haoxiang , Ling Can , Fu Meiyan
Published: June 2022

The role of the single sandstone stacking pattern in controlling the physical properties of the sandstones deposited in the distribution channels of the deltaic plain is unclear. This study aims to reveal the effect of the single sandstone packing patterns on the reservoir qualities of sandstones from the Shanxi Formation in the Daniudi gas field of Ordos Basin. Based on the core observation, 2D-image analysis, and thin section identification, the lithofacies were identified, the stacking patterns of the single sandbody were divided, and the differences in minerals composition and diagenesis of different sandstone stacking patterns were analyzed. According to the sedimentary facies analysis, 10 types of lithofacies have been identified in the Shanxi Formation in the study area. The single sandstone stacking patterns include mixed stacking patterns of coarse to medium-grained sandstone, fining upwards stacking patterns of coarse- to medium-grained sandstone, and coarsening upwards stacking patterns of fine- to coarse-grained sandstone. Among these single sandstone stacking patterns, there is a greater percentage of lithofacies with high reservoir quality in the fining upwards stacking patterns of coarse- to medium-grained sandstone. Through a comparative study of the differences in minerals composition, the degree of compaction, and dissolution of sandstones, it is suggested that the high porosities and permeabilities of the coarse- to medium-grained sandstone lithofacies in the fining upwards stacking patterns are caused by the low content of the matrix in sandstone, relatively weak compaction, relatively high amounts of primary pores, and strong dissolution. The relatively high content of rigid clastic particles with coarser-grained size was favorable for the preservation of primary pores. The relatively high primary porosity could provide favorable passages for the late diagenetic fluid, leading to the development of dissolved pores. The study can provide an important basis for the exploration of high-quality sandstone reservoirs in the distributary channels of the delta plain.
Performance Estimation of a Downsized SI Engine Running with Hydrogen
Authors: Galloni Enzo , Lanni Davide , Fontana Gustavo , D’Antuono Gabriele , Stabile Simone
Published: June 2022

Hydrogen is a carbon-free fuel that can be produced in many ways starting from different sources. Its use as a fuel in internal combustion engines could be a method of significantly reducing their environmental impact. In spark-ignition (SI) engines, lean hydrogen–air mixtures can be burnt. When a gaseous fuel like hydrogen is port-injected in an SI engine, working with lean mixtures, supercharging becomes very useful in order not to excessively penalize the engine performance. In this work, the performance of a turbocharged PFI spark-ignition engine fueled by hydrogen has been investigated by means of 1-D numerical simulations. The analysis focused on the engine behavior both at full and partial load considering low and medium engine speeds (1500 and 3000 rpm). Equivalence ratios higher than 0.35 have been considered in order to ensure acceptable cycle-to-cycle variations. The constraints that ensure the safety of engine components have also been respected. The results of the analysis provide a guideline able to set up the load control strategy of a SI hydrogen engine based on the variation of the air to fuel ratio, boost pressure, and throttle opening. Furthermore, performance and efficiency of the hydrogen engine have been compared to those of the base gasoline engine. At 1500 and 3000 rpm, except for very low loads, the hydrogen engine load can be regulated by properly combining the equivalence ratio and the boost pressure. At 3000 rpm, the gasoline engine maximum power is not reached but, for each engine load, lean burning allows the hydrogen engine achieving much higher efficiencies than those of the gasoline engine. At full load, the maximum power output decreases from 120 kW to about 97 kW, but the engine efficiency of the hydrogen engine is higher than that of the gasoline one for each full load operating point.
Kefir Enriched with Carob (Ceratonia siliqua L.) Leaves Extract as a New Ingredient during a Gluten-Free Bread-Making Process
Authors: Spizzirri Umile Gianfranco , Abduvakhidov Avazbek , Caputo Paolino , Crupi Pasquale , Muraglia Marilena , Oliviero Rossi Cesare , Clodoveo Maria Lisa , Aiello Francesca , Restuccia Donatella
Published: June 2022

This work is focused on the preparation of an innovative gluten-free (GF) bread with remarkable softness and antioxidant features over time. To overcome the technological inconveniences related to the removal of gluten from bread, the kefir beverage fortified with antioxidant vegetable extracts is employed as a functional ingredient in the bread-making process. In this context, carob (Ceratonia siliqua L.) leaves represent an outstanding source of active molecules and are proposed to enrich milk-based beverages. Different extraction strategies were evaluated, and the process was improved to select a solvent (water, ethanol, or hydroalcoholic solution) and methodology (Soxhlet or ultrasound-assisted extraction) able to guarantee the best performances in terms of yield and antioxidant capacity. For kefir addition, two varieties of carob leaves (Selvatica and Amele) are employed. Functional GF bread, obtained by partially replacing the water with the enriched kefir, is prepared, and the final product is characterized in terms of its antioxidant and rheological properties. The final product shows improved compositional and technological parameters over time.
Isolation and Characterization of Flavonoids from Fermented Dandelion (Taraxacum mongolicum Hand.-Mazz.), and Assessment of Its Antioxidant Actions In Vitro and In Vivo
Authors: Yin Na , Wang Yuan , Ren Xuerong , Zhao Yang , Liu Na , An Xiaoping , Qi Jingwei
Published: June 2022

Flavonoids are famous for their diverse sources, strong biological activity, and low toxicity and could be used as a natural antioxidant in animal husbandry. In this study, the purification process and antioxidant activity of flavonoids from fermented dandelion were investigated. The adsorption and desorption characterizations of AB-8 macroporous resin for flavonoids from fermented dandelion (FD) were determined and purification parameters were optimized. Qualitative analysis using UPLC-MS/MS analysis was explored to identify the components of the purified flavonoids of FD (PFDF). The antioxidant activity of PFDF in vitro and in vivo was analyzed. The optimum purification parameters were as follows: a sample concentration of 2 mg/mL, 120 mL of the sample volume, a pH of 2.0, and eluted with 90 mL of 70% ethanol (pH 5). After purification, the concentration of the flavonoids in PFDF was 356.08 mg/mL. By comparison with reference standards or the literature data, 135 kinds of flavonoids in PFDF were identified. Furthermore, PFDF had a strong reducing power and scavenging ability against 8-hydroxy radical and DPPH radical. PFDF can effectively reduce the oxidative stress of zebrafish embryos and IPCE-J2 cells by modulating antioxidant enzyme activities. In summary, the purified flavonoids from fermented dandelion have good antioxidant activity and display superior potential as a natural antioxidant in animal husbandry.
Energy-Optimized Content Refreshing of Age-of-Information-Aware Edge Caches in IoT Systems
Authors: Pappalardo Martina , Virdis Antonio , Mingozzi Enzo
Published: June 2022

The Internet of Things (IoT) brings internet connectivity to everyday devices. These devices generate a large volume of information that needs to be transmitted to the nodes running the IoT applications, where they are processed and used to make some output decisions. On the one hand, the quality of these decisions is typically affected by the freshness of the received information, thus requesting frequent updates from the IoT devices. On the other hand, the severe energy, memory, processing, and communication constraints of IoT devices and networks pose limitations in the frequency of sensing and reporting. So, it is crucial to minimize the energy consumed by the device for sensing the environment and for transmitting the update messages, while taking into account the requirements for information freshness. Edge-caching can be effective in reducing the sensing and the transmission frequency; however, it requires a proper refreshing scheme to avoid staleness of information, as IoT applications need timeliness of status updates. Recently, the Age of Information (AoI) metric has been introduced: it is the time elapsed since the generation of the last received update, hence it can describe the timeliness of the IoT application’s knowledge of the process sampled by the IoT device. In this work, we propose a model-driven and AoI-aware optimization scheme for information caching at the network edge. To configure the cache parameters, we formulate an optimization problem that minimizes the energy consumption, considering both the sampling frequency and the average frequency of the requests sent to the device for refreshing the cache, while satisfying an AoI requirement expressed by the IoT application. We apply our caching scheme in an emulated IoT network, and we show that it minimizes the energy cost while satisfying the AoI requirement. We also compare the case in which the proposed caching scheme is implemented at the network edge against the case in which there is not a cache at the network edge. We show that the optimized cache can significantly lower the energy cost of devices that have a high transmission cost because it can reduce the number of transmissions. Moreover, the cache makes the system less sensitive to higher application-request rates, as the number of messages forwarded to the devices depends on the cache parameters.
Early Discrimination and Prediction of C. fimbriata-Infected Sweetpotatoes during the Asymptomatic Period Using Electronic Nose
Authors: Wu Jiawen , Pang Linjiang , Zhang Xiaoqiong , Lu Xinghua , Yin Liqing , Lu Guoquan , Cheng Jiyu
Published: June 2022

Sweetpotato is prone to disease caused by C. fimbriata without obvious lesions on the surface in the early period of infection. Therefore, it is necessary to explore the possibility of developing an efficient early disease detection method for sweetpotatoes that can be used before symptoms are observed. In this study, sweetpotatoes were inoculated with C. fimbriata and stored for different lengths of time. The total colony count was detected every 8 h; HS-SPME/GC–MS and E-nose were used simultaneously to detect volatile compounds. The results indicated that the growth of C. fimbriata entered the exponential phase at 48 h, resulting in significant differences in concentrations of volatile compounds in infected sweetpotatoes at different times, especially toxic ipomeamarone in ketones. The contents of volatile compounds were related to the responses of the sensors. E-nose was combined with multiple chemometrics methods to discriminate and predict infected sweetpotatoes at 0 h, 48 h, 64 h, and 72 h. Among the methods used, linear discriminant analysis (LDA) had the best discriminant effect, with sensitivity, specificity, precision, and accuracy scores of 100%. E-nose combined with K-nearest neighbours (KNN) achieved the best predictions for ipomeamarone contents and total colony counts. This study illustrates that E-nose is a feasible and promising technology for the early detection of C. fimbriata infection in sweetpotatoes during the asymptomatic period.
Investigation of Bioavailability and Food-Processing Properties of Arthrospira platensis by Enzymatic Treatment and Micro-Encapsulation by Spray Drying
Authors: Maag Patricia , Dirr Simon , Özmutlu Karslioglu Özlem
Published: June 2022

Due to its high-protein content of 60–70% on dry weight, Arthrospira platensis, has been considered as one of the most sought-after protein alternatives. However, the processing of Arthrospira platensis extract (spirulina, SP) in food is usually limited due to the strong green colour and taste, as well as the lack of bioavailability of plant proteins. Therefore, this study aimed to increase its use in food applications through technologies such as microencapsulation by spray drying and enzymatic treatment. The effect of different combinations of maltodextrin (MD) and gum arabic (GA) as coating material were tested in ratios of 1:2 and 1:4 for Arthrospira platensis, core to wall material, respectively. Additionally, enzymatic treatment was used to investigate whether digestibility, protein solubility and powder solubility can be improved. Thermal stability was examined by differential scanning calorimetry (DSC), and colour intensity was analysed over L* a* b* colour system. The sample SP-MD1:2 showed the highest heat stability with a denaturation peak at 67 °C, while the samples SP-MD1:4 and ESP-MD1:4 revealed the best brightening effects. The crude protein content stated by the manufacturer of 67% was confirmed. Encapsulation and enzymatic hydrolysis enhance the protein solubility, under which ESP-MD1:4 had the greatest solubility at around 83%. The protein digestibility peaks were around 99% with sample SP-MD1:2.
Anthocyanins, Carotenoids and Chlorophylls in Edible Plant Leaves Unveiled by Tandem Mass Spectrometry
Authors: Sousa Clara
Published: June 2022

Natural pigments are a quite relevant group of molecules that are widely distributed in nature, possessing a significant role in our daily lives. Besides their colors, natural pigments are currently recognized as having relevant biological properties associated with health benefits, such as anti-tumor, anti-atherogenicity, anti-aging and anti-inflammatory activities, among others. Some of these compounds are easily associated with specific fruits (such as blueberries with anthocyanins, red pitaya with betalain or tomato with lycopene), vegetables (carrots with carotenoids), plant leaves (chlorophylls in green leaves or carotenoids in yellow and red autumn leaves) and even the muscle tissue of vertebrates (such as myoglobin). Despite being less popular as natural pigment sources, edible plant leaves possess a high variety of chlorophylls, as well as a high variety of carotenoids and anthocyanins. The purpose of this review is to critically analyze the whole workflow employed to identify and quantify the most common natural pigments (anthocyanin, carotenoids and chlorophylls) in edible plant leaves using tandem mass spectrometry. Across the literature there, is a lack of consistency in the methods used to extract and analyze these compounds, and this review aims to surpass this issue. Additionally, mass spectrometry has stood out in the context of metabolomics, currently being a widely employed technique in this field. For the three pigments classes, the following steps will be scrutinized: (i) sample pre-preparation, including the solvents and extraction conditions; (ii) details of the chromatographic separation and mass spectrometry experiments (iii) pigment identification and quantification.
Effectiveness of Multimedia-Based Learning on the Improvement of Knowledge, Attitude, and Behavioral Intention toward COVID-19 Prevention among Nurse Aides in Taiwan: A Parallel-Interventional Study
Authors: Hsu Yi-Min , Chang Ting-Shan , Chu Chien-Lun , Hung Shu-Wen , Wu Chih-Jung , Yeh Tzu-Pei , Wang Jiun-Yi
Published: June 2022

Because nurse aides are one of the first-line care providers in hospitals, they should possess better knowledge, attitude, and behavioral intention toward COVID-19 during the pandemic. This study aimed to compare the improvements of COVID-19-related education on learning outcomes between multimedia-based and traditional face-to-face learning models for nurse aides. The parallel-group randomized controlled trial recruited 74 participants in both the experimental and control groups. Two 90 min interventions with the same contents, but in different ways, were delivered. A structured questionnaire was used to collect data of demographic information, knowledge, attitude, and behavioral intention toward COVID-19 before and after the interventions. Results from generalized estimation equations analysis indicated that the nurse aides in the multimedia-based learning group had greater improvement in the scores of knowledge (difference in change: 3.2, standard error: 0.97, p < 0.001), attitude (difference in change: 10.2, standard error: 2.97, p < 0.001), and behavioral intention (difference in change: 0.5, standard error: 0.04, p < 0.001) than those in the face-to-face learning group. During the outbreak of COVID-19, multimedia-based learning as an effective learning method could improve the learning outcomes related to COVID-19 and achieve learning goals without close contact.
Play-Based Activities with a CoderBot Robot on a Pediatric Ward: A Case Study
Authors: Castiglioni Marco , Caldiroli Cristina Liviana , Antonietti Alessandro
Published: June 2022

Being hospitalized is a threatening and stressful experience for many children. From a psychological point of view, children may experience increased feelings of anxiety and fear that can negatively influence their behavioral, cognitive, and emotional outcomes. To mitigate such adverse effects on children’s mental health and well-being, interventions that might contribute to protecting the emotional domain of hospitalized children are welcome. The present case study of a single-setting intervention allowed us to evaluate the impact, on children admitted to a pediatric short-term recovery ward (N = 61), of participating in play-based activities with a CoderBot robot. The methodology spanned multiple data sources (children, parents, nurses), field observation, and a sequential (quantitative–qualitative) mixed-method approach to data analysis. We found that robot-based activities are associated with enhanced well-being (particularly positive emotions). Both the participating children and their caregivers reported that the activity was enjoyable and interesting, especially thanks to its technologically innovative nature. We critically discuss these positive findings in relation to the strengths of our pilot study, as well as its contextual and methodological limitations, and outline possible future lines of development for this kind of project.
Trends in the Utilization of Human Papillomavirus Vaccines and the Incidence of Malignant Cervical Cancer in Women and Teenagers: A Secondary Analysis
Authors: Luna Myah , Upadhyay Soumya
Published: June 2022

Background: Human papillomavirus (HPV) is a sexually transmitted infection, and HPV types 16 and 18 are responsible for approximately 66% of all U.S. cervical cancer cases in women. The quadrivalent HPV vaccine was licensed in mid-2006, and it was designed to target and protect against HPV types 6, 11, 16, and 18. The aim of this study is to examine the utilization rate of the HPV vaccine, and the trends and incidence rate of malignant cervical cancer across the United States. Methods: This study utilized data from Surveillance, Epidemiology, and End Results (SEER) and the National Immunization Survey’s (NIS) teenage datasets across select years. For the SEER survey, the modification for confidence intervals by Tiwari et al., 2006, was utilized to obtain the incidence rate per 100,000, so that it could be age-adjusted for the 2000 U.S. standard population, as noted in the data provided by the U.S. Census. The dates examined started in the year 2000 and ended in 2017. For the NIS-Teen survey, the public-use data file was used, and a point estimate (%), with a 95% confidence interval, was performed to examine the trends in HPV vaccine utilization across the U.S. adolescent female population from the years 2007 to 2019. Results: This study found that the rate of diagnosis had been falling over the nearly two decades examined in this study. Implications: This study would support current efforts to encourage the utilization of HPV vaccines that are currently in the vaccination schedule rotation, and to illustrate the importance of completing all doses of the three-step series.
The Effect of Type of Delivery on Female Postpartum Sexual Functioning: A Systematic Review
Authors: Nikolaidou Effrosyni , Antoniou Evangelia , Sarella Angeliki , Iliadou Maria , Orovou Eirini , Dagla Maria
Published: June 2022

Female sexual function could be considered as multifactorial. Specific physiological structures and hormonal fluctuations postpartum, along with the psychological adjustment of women, could result in altered sexual function. The primary aim of this review was to systematically appraise the existing data on the effect of mode of delivery on female sexual function. This review was designed based on the PRISMA statement guidelines. An extensive literature search was performed in the Pubmed, Scopus, and PsycInfo databases, using prespecified inclusion/exclusion criteria, between the 20 September and 10 October 2021. Studies’ quality assessment was conducted using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies of the National Heart, Lung, and Blood Institute. The initial search involved 1592 studies. The last step of the screening procedure yielded 16 studies, including 41,441 subjects with a mean age of 29.9 years. Studies included groups with spontaneous and assisted vaginal and C-section delivery modes. No statistically significant difference between groups was found. The type of delivery appears to be irrelevant regarding this relationship. Moderating factors seemed to indirectly influence this relationship. Health professionals should educate expectant mothers and be aware of the possibility that delivery method could affect sexual function.
Postharvest Preservation of Thai Mango var. Chok-Anan by the Combination of Pulsed Electric Field and Chemical Pickling
Authors: Supasin Supakiat , Kantala Chatchawan , Intra Panich , Rattanadecho Phadungsak
Published: June 2022

Mango is one of the most favorable tropical fruits grown and consumed in several parts of the world. However, there is overproduction during the ripening stage. In this situation, appropriate techniques are needed to utilize the abundant supply. Pickling is one of the oldest and most successful methods for preserving mango. In this study, mango pickles were prepared by using chemical pickling assisted with pulsed electric field (PEF). The physicochemical and textural properties of mango pickles prepared with PEF at 30 and 50 °Brix were studied in comparison with the conventional pickling process. The water loss, solids gain, and diffusion efficiency were increased by twofold when PEF was applied in pickling Thai mango variety Chok-anan. This process also reduced the moisture content and water activity. The PEF-assisted pickling process caused changes in lightness (L*) and redness (a*) values. The textural properties of the mango pickles produced by the PEF-assisted pickling process were also changed. In addition, the PEF-assisted pickling process caused a 20% increase in beta-carotene content and a 47% decrease in ascorbic acid content. The microstructure of the mango was more disintegrated on the surface after PEF than that from the conventional pickling process.
The Seed Traits Associated with Dormancy and Germination of Herbaceous Peonies, Focusing on Species Native in Serbia and China
Authors: Marković Tatjana , Prijić Željana , Xue Jingqi , Zhang Xiuxin , Radanović Dragoja , Ren Xiuxia , Filipović Vladimir , Lukić Milan , Gordanić Stefan
Published: June 2022

Even though peonies are highly valued as ornamental, medicinal, and edible species and are also considered to be long-lived and relatively disease and pest resistant, they are becoming rare or endangered in their natural habitats. This could be primarily associated with climate change and unsustainable wild collecting practices. So far, in situ conservation efforts have received little attention. In addition, very little is known about the cultivation of herbaceous peonies, particularly their propagation from seeds. What is known is that their seeds possess double dormancy, often accompanied by a low germination rate, which, together, make the cultivation of herbaceous peonies more difficult. Based on a comprehensive analysis of relevant literature, this paper summarizes, analyzes, and discusses all available studies on the seed traits of herbaceous peonies associated with the effect of seed harvest time on dormancy and seed germination, with a strong focus on dormancy breaking procedures. Improving our understanding of dormancy release modalities (impacts of temperature, moisture, light, hormones, various pre-treatments, etc.) will aid the establishment and management of in situ and ex situ collections of valuable species of herbaceous peonies and enable further studies for their successful propagation, breeding, and cultivation.
Effects of Subjective Health Perception on Health Behavior and Cardiovascular Disease Risk Factors in Patients with Prediabetes and Diabetes
Authors: Kwak Sungjung , Lee Yoonmi , Baek Seunghui , Shin Jieun
Published: June 2022

The purpose of this study is to confirm the health behavior performance rate and cardiovascular disease-related indicators according to the subjective health perception of prediabetic and diabetic patients using the 2016–2019 National Health and Nutrition Examination Survey (NHANES) data. This study classified hemoglobin A1c ≥ 6.5% as diabetes and 5.7–6.4% prediabetes among 2485 adults over 40 years of age among the data from the National Health and Nutrition Examination Survey. In addition, subjective health perception was divided into ‘good’ and ‘bad’ and then cross-classified into four groups (Good/PDM, Bad/PDM, Good/DM, and Bad/DM) to analyze the differences between the four groups. All statistical analyses were performed using SAS 9.4 (SAS Institute Inc., Cary, NC, USA), and complex sample analysis was performed using weights according to the KNHANES raw data usage guidelines from the Korea Centers for Disease Control and Prevention. The rate of subjective health awareness was higher in men than in women in both prediabetic- and diabetic-stage subjects and adults in the prediabetic stage were higher than in the elderly. The better the subjective health status, the higher the ratio of normal weight, proper sleep time, exercise, and eating out among health-related behaviors. As a result of analyzing blood pressure and blood indices related to the cardiovascular disease risk (Framingham Risk Score), in all indicators except blood pressure, the better the subjective health status and the lower the risk of cardiovascular disease. As a result, for disease prevention and continuous management through healthy behaviors in prediabetic and diabetic patients, it is necessary to improve the positive subjective perception of health.
Perception of Medical Students on the Need for End-of-Life Care: A Q-Methodology Study
Authors: Barros-Garcia-Imhof Jorge , Jiménez-Alfonso Andrés , Gómez-Acebo Inés , Fernández-Ortiz María , Alonso-Molero Jéssica , Llorca Javier , Gonzalez-Castro Alejandro , Dierssen-Sotos Trinidad
Published: June 2022

End-of-life care and the limitation of therapeutic effort are among the most controversial aspects of medical practice. Many subjective factors can influence decision-making regarding these issues. The Q methodology provides a scientific basis for the systematic study of subjectivity by identifying different thought patterns. This methodology was performed to find student profiles in 143 students at Cantabria University (Spain), who will soon deal with difficult situations related to this topic. A chi-square test was used to compare proportions. We obtained three profiles: the first seeks to ensure quality of life and attaches great importance to the patient’s wishes; the second prioritizes life extension above anything else; the third incorporates the economic perspective into medical decision-making. Those who had religious beliefs were mostly included in profile 2 (48.8% vs. 7.3% in profile 1 and 43.9% in profile 3), and those who considered that their beliefs did not influence their ethical principles, were mainly included in profile 3 (48.5% vs. 24.7% in profile 1 and 26.8% in profile 2). The different profiles on end-of-life care amongst medical students are influenced by personal factors. Increasing the clinical experience of students with terminally ill patients would contribute to the development of knowledge-based opinion profiles and would avoid reliance on personal experiences.
A Survey on the Knowledge, Attitudes, and Practices of Lebanese Physicians Regarding Air Pollution
Authors: Assi Hazem I. , Meouchy Paul , El Mahmoud Ahmad , Massouh Angela , Bou Zerdan Maroun , Alameh Ibrahim , Chamseddine Nathalie , Kazarian Houry , Zeineldine Salah , Saliba Najat A. , Noureddine Samar
Published: June 2022

Introduction: Air pollution imposes a significant burden on public health. It is emerging as a modifiable risk factor for cancer, diabetes, and respiratory and cardiovascular diseases. This study aims to assess the knowledge, attitudes, and practices of Lebanese physicians regarding air pollution. Methods: This observational study uses a descriptive cross-sectional correlational design. The data were collected using a self-administered online survey that was sent to 874 potential respondents who are members of the Lebanese Order of Physicians. Data analysis was done using descriptive statistics and a chi-square test. Results: The results show a deficiency in the knowledge of physicians regarding many sources of air pollution, including dust, the smell of perfume, candles, vacuum cleaners, air fresheners, electronic cigarettes, etc. The majority of physicians agree that air pollution increases the risk of several health problems. Only 38% of physicians routinely ask their patients about exposure to air pollution, and 75% of them believe that they have a role as physicians in reducing air pollution levels. Over half of the sample are confident in counseling their patients on sources of air pollution, and two thirds of them are in support of including assessment of air pollution exposure during regular medical visits. Conclusion: Air pollution levels are progressively increasing over time. Given the health impact of exposure to air pollution, healthcare professionals need to stay up to date on this topic. The results of this study suggest the need for continuing education about air pollution for physicians and developing guidelines for what exactly to ask patients in assessing their exposure.
The Impact of Sport Activity Shut down during the COVID-19 Pandemic on Children, Adolescents, and Young Adults: Was It Worthwhile?
Authors: Raimondi Sara , Cammarata Giulio , Testa Giovanna , Bellerba Federica , Galli Federica , Gnagnarella Patrizia , Iannuzzo Maria Luisa , Ricci Dorotea , Sartorio Alessandro , Sasso Clementina , Pravettoni Gabriella , Gandini Sara
Published: June 2022

We conducted a national retrospective survey of 1764 athletes aged ≤25 years to investigate the benefit–risk balance of sport closure during the COVID-19 pandemic peaks in Italy. Univariate and multivariable analyses were carried out to investigate the association between sport practice during the study period and (1) the risk of SARS-CoV-2 infection in athletes and their families and (2) body mass index (BMI) change, and adherence to World Health Organization (WHO) guidelines for physical activity. The percentage of subjects with a positive SARS-CoV-2 test was similar in those participating and not taking part into sport activities (11% vs. 12%, respectively, p = 0.31). Restricting the analysis to subjects who practiced sports within an organized sport society/center, the risk of SARS-CoV-2 positivity was reduced for athletes who had never stopped their training (odds ratio (OR); 95% confidence intervals (CI): 0.62; 0.41–0.93). On the other side, responders who had stopped sport activity showed a 1% increase in BMI. Adherence to WHO guidelines for physical activity was significantly higher for athletes who had continued sport activities. In conclusion, sport closure and limitations had an important negative impact on the overall health of young athletes, being also not effective in reducing the spread of COVID-19.
Rebuilding Social Capital through Osekkai Conferences in Rural Communities: A Social Network Analysis
Authors: Ohta Ryuichi , Maiguma Koichi , Yata Akiko , Sano Chiaki
Published: June 2022

Social prescribing can promote the creation of new relationships, which may then promote the building of social capital in communities. One example of a social prescribing tool in Japan is Osekkai conferences, which increase social participation and mitigate the degree of loneliness in rural communities. A clarification of the changes in social interaction and intensity of connections among people through Osekkai conferences could contribute to better social prescribing in rural communities. This social network study was conducted among people who have participated in an Osekkai conference. The primary outcomes of degrees and centrality were measured as the degree of social capital. The primary outcomes were compared between April and September 2021 and between October 2021 and March 2022. The continuous performance of Osekkai conferences as social prescribing tools led to an increase in conference participation, mainly by middle-aged women in the communities. Based on a social network analysis, the average direct connection with each person did not increase; the network density decreased gradually; the network diameter decreased from 6 to 5. Regarding the node-level statistics, harmonic closeness centrality and eccentricity decreased, and modularity increased. Social prescribing initiatives should focus on improving social capital in communities, which may improve the number and meaningfulness of the collaborations among organizations and indigenous communities.
Association between Social Integration, Social Exclusion, and Vaccination Behavior among Internal Migrants in China: A Cross-Sectional Study
Authors: Wang Jun , Bai Yang , Zhu Jingmin , Wang Xueyao , Che Yue , Liu Jue
Published: June 2022

Cross-sectional studies about the association between social integration, social exclusion, and vaccination behavior among internal migrants in China are lacking. In this study, we aimed to explore the association between the influenza vaccination behavior and social integration as well as social exclusion in China based on a cross-sectional study. We included 12,467 participants aged 15 years old or above from the 2017 Migrant Population Dynamic Monitoring Survey (MDMS). We used univariate analysis and logistic regression models to access the association between social integration, exclusion status, and influenza vaccination rates. Results suggested that the association between social integration and the vaccination rate was significantly positive. Moving between different districts impact on people’s mental health and their health performance. Significant association between influenza vaccination behavior and education attainment, income status, health record, and awareness of basic public health services program was reported. Therefore, in order to reduce the incidence of influenza disease and increase the vaccination rate, policymakers and the public should promote social integration for internal migrants. Meanwhile, our finding also implies possible strategies to promote COVID-19 vaccination.
COVID-19 Pandemic and International Students’ Mental Health in China: Age, Gender, Chronic Health Condition and Having Infected Relative as Risk Factors
Authors: Antwi Collins Opoku , Belle Michelle Allyshia , Ntim Seth Yeboah , Wu Yuanchun , Affum-Osei Emmanuel , Aboagye Michael Osei , Ren Jun
Published: June 2022

International students in China were among the first group of individuals to be affected by the COVID-19 pandemic. However, the pandemic’s impact on their mental health is underexplored. This study—utilizing web-based survey data (N = 381), presents preliminary reports using ANOVA and MIMIC analytic approaches. Following the clinical demarcation of the 21-item version of the Depression Anxiety Stress Scales (DASS-21), we found 24.6%, 38.3%, and 43.6% of the students to suffer mild to extreme stress, anxiety, and depression, respectively. Female students reported significantly higher levels of stress and depression than males. Older students’ reports of stress were more substantial than younger students. Students who reported having a relative infected with the virus (vs. those without) experienced significantly higher anxiety and stress. Those who reported having pre-existing chronic health condition(s) (vs. those without) also reported significantly higher stress, anxiety, and depression levels. Moreover, students with an exercise routine (vs. those without) experienced significantly lower levels of stress, anxiety, and depression. Last, our MIMIC model results indicate that foreign students’ age, gender, chronic health status, and having a relative infected with the virus constitute significant risk factors explaining variations in foreign students’ experience of psychological distress. Implications for international students’ management have been thoroughly discussed.
The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China
Authors: Zhai Qianqian , Sher Ali , Li Qian
Published: June 2022

This paper systematically investigates the impact of consumers’ health risk perceptions on the purchase intention of blockchain traceable fresh fruits in China. It uses online-survey data collected from four pilot cities that are part of the food traceability system in China. The ordinary least squares (OLS) and the ordered probit model was applied to examine the posited relationships. The results show that consumers’ health risk perception has a significant positive effect on the purchase intention of blockchain traceable fresh fruits. The stronger consumers’ health risk perception, the stronger their purchase intention of blockchain traceable fresh fruits. Likewise, heterogeneity exists among gender, age, income, and education in their corresponding effect of consumers’ health risk perception on blockchain traceable fresh fruit purchase intention. This suggests that male, high-aged, high-income and high-educated groups have a higher health risk perception, and therefore a higher purchase perception for blockchain traceable fresh fruits than female, low-aged, low-income and low-educated, respectively. Furthermore, family structure, consumers’ traceability cognition and purchase experience of traceable products affect the purchase intention of blockchain traceable fresh fruits. The study has several insights on the broader promotion, acceptance and development of the food traceability system and provides practical cues for policy and practice.
Overweight and Fertility: What We Can Learn from an Intergenerational Mouse Obesity Model
Authors: Fabian Dušan , Kubandová-Babeľová Janka , Kšiňanová Martina , Waczulíková Iveta , Fabianová Kamila , Koppel Juraj
Published: June 2022

The aim of this study was to evaluate the effects of being overweight on the ability to conceive, fertilization rate, and in vivo development of embryos in regularly cycling, spontaneously ovulating, and naturally mated female mice. The study was based on statistical analysis of data collected during 14 experiments with identical design, performed on 319 control and 327 obese mice, developed in an intergenerational model of obesity induction which eliminates the impact of aging and high-fat feeding. Six-week-old mice with a vaginal sperm plug were slaughtered on embryonic days 2, 3, or 4, and the flushed contents of the oviducts and uteri were assessed by stereomicroscopy. The results showed no association between being overweight and the proportion of ovulating or fertilized females. On the other hand, a strong association was found between being overweight and ovulation yield. On embryonic day 2, significantly higher numbers of eggs were recovered from the oviducts of fertilized obese mice. Maternal overweight status was also associated with higher developmental capacities of preimplantation embryos. In conclusion, contrary to studies based on the high-fat-diet model, in female mice fed regular chow, being overweight was associated with an increased ovulation quota and higher developmental rate of fertilized oocytes. Being overweight did not impact ability to conceive. On the other hand, as documented in our previous studies, the quality of oocytes and blastocysts recovered from overweight mice developed in an intergenerational model of obesity was low.