bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Cerebral Amyloid Angiopathy on Functional Outcome of Patients Affected by Spontaneous Intracerebral Hemorrhage Discharged from Intensive Inpatient Rehabilitation: A Cohort Study
Authors: Barbato Carmen , Liuzzi Piergiuseppe , Romoli Anna , Draghi Francesca , Maccanti Daniela , Mannini Andrea , Macchi Claudio , Cecchi Francesca , Hakiki Bahia
Published: October 2022

Background: Sporadic CAA is recognized as a major cause of sICH and sABI. Even if intensive rehabilitation is recommended to maximize functional recovery after sICH, no data are available on whether CAA may affect rehabilitation outcomes. In this observational prospective study, to explore the impact of CAA on rehabilitation results, functional outcomes after intensive rehabilitation have been compared between patients affected by sICH with and without a diagnosis of CAA. Methods: All adults affected by sABI due to sICH and admitted to the IRU of IRCCS-Don-Gnocchi-Foundation were consecutively enrolled for 12 months. Demographic and clinical data were recorded upon admission and discharge. Results: Among 102 sICH patients (age: 66 (IQR = 16), 53% female), 13% were diagnosed as probable/possible-CAA. TPO and functional assessment were comparable upon admission, but CAA patients were significantly older (p = 0.001). After a comparable LOS, CAA patients presented higher care burden (ERBI: p = 0.025), poorer functional recovery (FIM: p = 0.02) and lower levels of global independence (GOSE > 4: p = 0.03). In multivariate analysis, CAA was significantly correlated with a lower FIM (p = 0.019) and a lower likelihood of reaching GOS-E > 4, (p = 0.041) at discharge, independently from age. Conclusions: CAA seems to be independently associated with poorer rehabilitation outcomes, suggesting the importance of improving knowledge about CAA to better predict rehabilitation outcomes.
Infusing Mindset through Mathematical Problem Solving and Collaboration: Studying the Impact of a Short College Intervention
Authors: Boaler Jo , Brown Kyalamboka , LaMar Tanya , Leshin Miriam , Selbach-Allen Megan
Published: October 2022

After experiencing years of procedural teaching in K-12 mathematics classrooms, many students arrive at college with ideas about, and approaches towards, mathematics that are not helpful to their learning. Students’ prior experiences and misconceptions can then negatively impact their experiences in university STEM courses. This paper describes a short course in the “big ideas” of calculus, that offered students an approach of problem-based learning, combined with mindset messages, otherwise known as a “mathematical mindset approach”. The mixed-method study considered how a ‘mathematical mindset’ teaching intervention impacted the learning, achievement, and beliefs of incoming college students, finding that the intervention significantly changed students’ ideas about mathematics, their own potential, and the value of collaboration. At the end of the course students also significantly improved their achievement on assessments of problem solving and collaboration. Importantly the course allowed students to believe in their own potential and to approach mathematics with a growth mindset, suggesting a role for such courses in students’ mathematics pathways.
The Effect of the Conceptual Change Model on Conceptual Understanding of Electrostatics
Authors: Addido Johannes , Burrows Andrea , Slater Timothy
Published: October 2022

This research investigated the effectiveness of the conceptual change model (CCM) in addressing pre-service elementary teachers’ misconceptions and promoting their conceptual understanding of electrostatics. The participants were 55 pre-service elementary teachers enrolled in an elementary physical science course, 44 females and 11 males. An embedded mixed-methods approach was employed to help answer the two research questions put forward in this research. The results showed that the CCM moderately correlated with participants’ conceptual understanding of electrostatics. The data from the three open-ended questions showed that the CCM positively affected participants’ conceptions of the topic of electrostatics. The results of this research contribute to the literature on the effect of the conceptual change model in building conceptual understanding and minimizing pre-service teachers’ misconceptions about electrostatics. The results also showed that the phases of the CCM did not have the same effect on participants’ conceptual understanding of electrostatics. This information brings to the fore a discussion about the optimal approach to using the conceptual change instructional model.
Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing
Authors: Liu Haoran , Liu Mingzhe , Li Dongfen , Zheng Wenfeng , Yin Lirong , Wang Ruili
Published: October 2022

This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications in image processing. The PCNN is a neurology-inspired neural network model that aims to imitate the information analysis process of the biological cortex. In recent years, many PCNN-derived models have been developed. Research aims with respect to these models can be divided into three categories: (1) to reduce the number of manual parameters, (2) to achieve better real cortex imitation performance, and (3) to combine them with other methodologies. We provide a comprehensive and schematic review of these novel PCNN-derived models. Moreover, the PCNN has been widely used in the image processing field due to its outstanding information extraction ability. We review the recent applications of PCNN-derived models in image processing, providing a general framework for the state of the art and a better understanding of PCNNs with applications in image processing. In conclusion, PCNN models are developing rapidly, and it is projected that more applications of these novel emerging models will be seen in future.
Estimating Sound Speed Profile by Combining Satellite Data with In Situ Sea Surface Observations
Authors: Ou Zhenyi , Qu Ke , Wang Yafen , Zhou Jianbo
Published: October 2022

Given that spatiotemporal measurement of the subsurface profile over a wide range are difficult to obtain, surface observations from satellites are often used to estimate the sound speed profile (SSP). This paper proposes a multisource method based on the self-organizing map (SOM) to improve the estimation of the SSP by merging surface observations with satellite data. Surface observations from the Kuroshio Extension Observatory (KEO) were used to supplement satellite observations (anomalies in the measured sea level and sea surface temperature) to this end. Different combinations of the surface parameters were assessed, their errors were analyzed, and differences between the results before and after the multisource parameters were used are discussed. The proposed method significantly increased the accuracy of estimating the SSP when the parameters obtained from in situ measurements were used, with a root mean square error of 2.18 m/s, less than a third of the error obtained when only satellite observations were used. The proposed method provides a new approach to determining an accurate three-dimensional structure of the sound speed when various surface observations are available.
Integration of PV Distributed Generators into Electrical Networks for Investment and Energy Purchase Costs Reduction by Using a Discrete–Continuous Parallel PSO
Authors: Grisales-Noreña Luis Fernando , Montoya Oscar Danilo , Marín-García Edward-J. , Ramos-Paja Carlos Andres , Perea-Moreno Alberto-Jesus
Published: October 2022

The problem of optimally integrating PV DGs into electrical networks to reduce annual costs (which include energy purchase and investment costs) was addressed in this research by presenting a new solution methodology. For such purpose, we used a Discrete–Continuous Parallel Particle Swarm Optimization method (DCPPSO), which considers both the discrete and continuous variables associated with the location and sizing of DGs in an electrical network and employs a parallel processing tool to reduce processing times. The optimization parameters of the proposed solution methodology were tuned using an external optimization algorithm. To validate the performance of DCPPSO, we employed the 33- and 69-bus test systems and compared it with five other solution methods: the BONMIN solver of the General Algebraic Modeling System (GAMS) and other four discrete–continuous methodologies that have been recently proposed. According to the findings, the DCPPSO produced the best results in terms of quality of the solution, processing time, and repeatability in electrical networks of any size, since it showed a better performance as the size of the electrical system increased.
A Robust Design of the Model-Free-Adaptive-Control-Based Energy Management for Plug-In Hybrid Electric Vehicle
Authors: Liu Xiaodong , Guo Hongqiang , Cheng Xingqun , Du Juan , Ma Jian
Published: October 2022

This paper proposes a robust design approach based on the Design for Six Sigma (DFSS), to promote the robustness of our previous model-free-adaptive-control-based (MFAC-based) energy management strategy (EMS) for the plug-in hybrid electric vehicles (PHEVs) in real-time application. First, the multi-island genetic algorithm (MIGA) is employed for a deterministic design of the MFAC-based EMS, and the Monte Carlo simulation (MCS) is utilized to evaluate the sigma level of the strategy with the deterministic design results. Second, a DFSS framework is formulated to reinforce the robustness of the MFAC-based EMS, in which the velocity and the vehicle mass are considered external disturbances whilst the terminal state of charge (SOC) of the battery and the fuel consumption (FC) are conducted as responses. In addition, real-time SOC constraints are incorporated into Pontryagin’s minimum principle (PMP) to confine the fluctuation of battery SOC in MFAC-based EMS to make it closer to the solution of the dynamic programming (DP). Finally, the effectiveness of the robust design results is assessed by contrasting with other strategies for various combined driving cycles (including velocity, vehicle mass, and road slope). The comparisons demonstrate the remarkable promotion of the robust design in terms of the energy-saving potential and the performance against external disturbance. The average improvement of the FCs can reach up to a considerable 19.66% and 9.79% in contrast to the charge-depleting and charge-sustaining (CD-CS) strategy as well as the deterministic design of MFAC-based EMS. In particular, the energy-saving performance is comparable to DP, where there is only a gap of −1.68%.
A Slime Mould Algorithm Programming for Solving Single and Multi-Objective Optimal Power Flow Problems with Pareto Front Approach: A Case Study of the Iraqi Super Grid High Voltage
Authors: Al-Kaabi Murtadha , Dumbrava Virgil , Eremia Mircea
Published: October 2022

Optimal power flow (OPF) represents one of the most important issues in the electrical power system for energy management, planning, and operation via finding optimal control variables with satisfying the equality and inequality constraints. Several optimization methods have been proposed to solve OPF problems, but there is still a need to achieve optimum performance. A Slime Mould Algorithm (SMA) is one of the new stochastic optimization methods inspired by the behaviour of the oscillation mode of slime mould in nature. The proposed algorithm is characterized as easy, simple, efficient, avoiding stagnation in the local optima and moving toward the optimal solution. Different frameworks have been applied to achieve single and conflicting multi-objective functions simultaneously (Bi, Tri, Quad, and Quinta objective functions) for solving OPF problems. These objective functions are total fuel cost of generation units, real power loss on transmission lines, total emission issued by fossil-fuelled thermal units, voltage deviation at load bus, and voltage stability index of the whole system. The proposed algorithm SMA has been developed by incorporating it with Pareto concept optimization to generate a new approach, named the Multi-Objective Slime Mould Algorithm (MOSMS), to solve multi-objective optimal power flow (MOOPF) problems. Fuzzy set theory and crowding distance are the proposed strategies to obtain the best compromise solution and rank and reduce a set of non-dominated solutions, respectively. To investigate the performance of the proposed algorithm, two standard IEEE test systems (IEEE 30 bus IEEE 57 bus systems) and a practical system (Iraqi Super Grid High Voltage 400 kV) were tested with 29 case studies based on MATLAB software. The optimal results obtained by the proposed approach (SMA) were compared with other algorithms mentioned in the literature. These results confirm the ability of SMA to provide better solutions to achieve the optimal control variables.
An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced Grid Voltages
Authors: Reddy Kumeshan , Saha Akshay Kumar
Published: October 2022

This work presents an investigation into the use of swarm intelligence techniques for the control of the doubly fed induction generator under unbalanced grid voltages. Swarm intelligence is a concept that was introduced in the late 20th century but has since undergone constant evolution and modifications. Similarly, the doubly fed induction generator has recently come under intense investigation. Owing to the direct grid connection of the DFIG, an unbalanced grid voltage harshly impacts its output power. Established mitigation measures include the use of the dual vector and proportional–resonant control methods. This work investigates the effectiveness of utilizing swarm intelligence for the purpose of controller gain optimization. A comparison of the application of swarm intelligence to the dual vector and proportional–resonant controllers was carried out. Three swarm intelligence techniques from across the timeline were utilized including particle swarm optimization, the bat algorithm, and the gorilla troops optimization algorithm. The system was subject to single-phase voltage dips of 5% and 10%. The results indicate that modern swarm intelligence techniques are effective at optimizing controller gains. This shows that as swarm intelligence techniques evolve, they may be suitable for use in the optimization of controller gains for numerous applications.
Grants and Funding for the Processes of Decarbonization in the Scope of Sustainability Development—The Case from Poland
Authors: Czarnecka Marzena , Chudy–Laskowska Katarzyna , Kinelski Grzegorz , Lew Grzegorz , Sadowska Beata , Wójcik-Jurkiewicz Magdalena , Budka Borys
Published: October 2022

The study aimed to determine how the public perceives the directions of decarbonization to develop a sustainable energy strategy for Poland. The political challenge is to use dedicated funds and grants to move from the energy market to low-carbon technology. For sustainable development, governments must implement an environmentally friendly, cost-effective, and socially acceptable policy. The risk of social acceptance plays a vital role in Poland, especially in Silesia, influencing the decarbonization process. The study’s main objective was to identify socio-economic features that affect the assessment of the decarbonization process in Poland, assuming that respondents used central or local funds to carry out this process. The authors deepened the multidisciplinary aspect of the analysis of decarbonization, mainly pointing to social issues, which was presented in the article. The study was conducted using the “snowball” method on a group of 444 socially diverse people. They were based on non-parametric statistical methods: Chi-square, Mann–Whitney U, and the Kruskal–Wallis test, which showed that the most effective factors in the decarbonization process are subsidies used by local governments. Moreover, it was found that people with higher education give less support to the centralization of funds for decarbonization, though they perceive that local funds provide a greater chance of success for decarbonization processes. This study fills the gap in social sciences.
The IGF1/FSH Ratio Correlates with Sperm Count and Testicular Volume
Authors: Cannarella Rossella , La Vignera Sandro , Condorelli Rosita A. , Calogero Aldo E.
Published: October 2022

BACKGROUND. Several studies have already investigated the relationship between IGF1 and semen parameters. However, clinical studies rarely concluded on the existence of a relationship between IGF1 and the sperm number, and whether the IGF1 serum levels have a practical value in the diagnostic work-up of patients with oligozoospermia is still unclear. OBJECTIVE. Molecular evidence reported that IGF1 and FSH belongs to the same molecular pathway. The aim of this study is to assess whether insulin-like growth factor-1 (IGF1)/follicle-stimulating hormone (FSH) ratio has an impact on testicular function and, specifically, on sperm number and testicular volume in a cohort of unselected men. METHODS. This is a cross-sectional study on 59 patients who attended the Seminology laboratory of the Division of Endocrinology of the University of Catania (Catania, Italy) for semen analysis. Data were analyzed to evaluate the relationships between IGF1 or IGF1/FSH ratio and sperm concentration, total sperm count (TSC), and testicular volume (TV). We also evaluated the occurrence of any difference in IGF1 and FSH serum levels and the IGF1/FSH ratio in patients with oligozoospermia and those with a TSC > 39 million/ejaculate. MAIN RESULTS AND ROLE OF CHANGE. Patients had a mean age of 31.0 ± 8.5 years. The mean FSH and IGF1 levels were 3.95 ± 2.55 mIU/mL and 232.59 ± 65.13 ng/mL, respectively. IGF1 serum levels did not correlate with sperm concentration, TSC, and TV. The IGF1/FSH ratio showed a positive correlation with sperm concentration (r = 0.408; p = 0.004), TSC (r = 0.468; p = 0.001), and TV (0.463; p = 0.002). Patients with oligozoospermia (Group 1, 23.7%, n = 14) had a significant lower IGF1/FSH ratio (57.9 ± 9.5 vs. 94.1 ± 8.7; p = 0.03) compared to those with TSC > 39 million/ejaculate (Group 2, 76.3%, n = 45). They did not differ significantly for neither IGF1 nor FSH serum levels. CONCLUSION. We found a positive correlation between the IGF1/FSH ratio and sperm concentration, TSC and TV. Furthermore, patients with oligozoospermia showed a significantly lower ratio compared to those with a normal TSC, while neither IGF1 nor FSH differed significantly in the two groups. Our results may reflect the existence of a molecular pathway to which IGF1 and FSH belongs. However, further studies are needed.
Critical Aspects of People’s Participation in Community-Based Forest Management from the Case of Van Panchayat in Indian Himalaya
Authors: Nagahama Kazuyo , Tachibana Satoshi , Rakwal Randeep
Published: October 2022

The importance of community-based forest management (hereafter, CBFM) is drawing attention to forest policies in finding solutions for deforestation and importantly to also understand the basis of people’s involvement. Focusing on the latter, the study presented here targets a regional CBFM (Van (forest) Panchayat; hereafter, VP) at the village level in Uttarakhand, India and looks into characteristics and critical aspect of people’s participation. Participatory observations were conducted in four selected villages, followed by structured interviews with 113 of a total of 131 households and semi-structured interviews with additional 28 female villagers. Some specific findings were (a) the VP members were mostly involved in forest-related activities, e.g., plantation, forest patrols, (b) a greater use of firewood by the management committee (hereafter, MC) where most members were from the higher-caste, and (c) most of the VP forest users were women; however, few women members were involved in decision-making, as they were mostly fixed members and they had not voluntarily chosen their positions. In the above context, it implied a limited participation of women in the decision-making process, i.e., no or little involvement in the management plan by the main VP forest users. Results concluded three stages of local peoples’ participation in forest management: “participation in activities”, “participation in decision-making” and “participation in management plan creation”. In summary, what our study shows is that participation by the VP members in CBFM activities was easy. The most difficult aspect related to the participation of female members was the decision-making process in each VPMC investigated.
Investigating the Relation between Visitor Attention and Visual Quality of Forest Landscape: A Mobile EEG Study
Authors: Wu Jiangzhou , Zhong Yongde , Wang Ying , Gong Chen
Published: October 2022

Forest-based destinations rely on quality forest landscapes as a critical resource, and recently the use of psychophysiological techniques that monitor the electrophysiological responses of the brain has gained research attention in forest landscape assessment. This study innovatively employed a mobile EEG methodology to investigate 130 participants’ attentional changes as they walked through the tourist tracks of a national park, and adopted a multi-method design triangulating the findings of a psychometric experiment, self-report measures, and expert assessments of forest landscapes. Results demonstrated a strong correlation between visitors’ attentional changes over time and on different tourist tracks, based on test–retest and alternate-form reliability testing. Moreover, the brain attention values showed some correspondence with the perceived visual quality of forest landscapes as rated by experts, and the consistency between the EEG and expert approaches was particularly evident in relation to landscapes of high and low aesthetic quality. Results provided persuasive evidence for the use of mobile EEG devices as a supplementary or alternative measure of visual quality assessment of forest landscape, and to inform landscape planning and experience design in forest-based destinations.
Electronics, Close-Range Sensors and Artificial Intelligence in Forestry
Authors: Borz Stelian Alexandru , Proto Andrea Rosario , Keefe Robert , Niţă Mihai Daniel
Published: October 2022

The use of electronics, close-range sensing and artificial intelligence has changed the management paradigm in many of the current industries in which big data analytics by automated processes has become the backbone of decision making and improvement [...]
Additive Allometric Equations to Improve Aboveground Biomass Estimation for Mongolian Pine Plantations in Mu Us Sandy Land, Inner Mongolia, China
Authors: Siqing Bilige , Meng Shengwang , Liu Liping , Zhou Guang , Yu Jian , Xu Zhenzhao , Liu Qijing
Published: October 2022

Afforestation is conducive to improving ecosystem service functions and ecosystem diversity in the Mu Us Sandy Land, however, the important attribute of biomass for Mongolian pine (Pinus sylvestris var. mongolica Litv.) plantations has yet to be accurately evaluated. This study aimed to develop additive allometric biomass equations for the species and evaluate biomass partitioning patterns within tree components. A total of 131 trees were measured for stem, branch, and leaf biomass by destructively sampling and tree climbing, with the latter as a supplement. For each biomass component, we tested three equations with the diameter at breast (D) alone, height (H) as additional, and diameter in combination with height (D2H) as predictors using the weighted least squared method. Weighted nonlinear seemingly unrelated regression was adopted to fit a system of additive allometric biomass equations utilizing the selected equations. A leave-one-out cross-validation method (the jackknife procedure) was used to assess the predictive ability. The biomass partitioning pattern was evaluated by calculating the ratios. The results revealed that the diameter alone is a good predictor for branches and foliage biomass estimates, while the stem requires H included to improve estimation accuracy. Mongolian pine allocates relatively more biomass to the crown (51.4%) compared to the stem (48.6%). Branch biomass fraction increased monotonously with increasing tree size while a reverse trend was observed for foliage. In conclusion, the additive models developed in this study provide a robust biomass estimation and can be extensively used to estimate Mongolian pine forests biomass in Mu Us Sandy Land.
Clove Oil-Nanostructured Lipid Carriers: A Platform of Herbal Anesthetics in Whiteleg Shrimp (Penaeus vannamei)
Authors: Kaewmalun Somrudee , Yata Teerapong , Kitiyodom Sirikorn , Yostawonkul Jakarwan , Namdee Katawut , Kamble Manoj Tukaram , Pirarat Nopadon
Published: October 2022

Whiteleg shrimp (Penaeus vannamei) have been vulnerable to the stress induced by different aquaculture operations such as capture, handling, and transportation. In this study, we developed a novel clove oil-nanostructured lipid carrier (CO-NLC) to enhance the water-soluble capability and improve its anesthetic potential in whiteleg shrimp. The physicochemical characteristics, stability, and drug release capacity were assessed in vitro. The anesthetic effect and biodistribution were fully investigated in the shrimp body as well as the acute multiple-dose toxicity study. The average particle size, polydispersity index, and zeta potential value of the CO-NLCs were 175 nm, 0.12, and −48.37 mV, respectively, with a spherical shape that was stable for up to 3 months of storage. The average encapsulation efficiency of the CO-NLCs was 88.55%. In addition, the CO-NLCs were able to release 20% of eugenol after 2 h, which was lower than the standard (STD)-CO. The CO-NLC at 50 ppm observed the lowest anesthesia (2.2 min), the fastest recovery time (3.3 min), and the most rapid clearance (30 min) in shrimp body biodistribution. The results suggest that the CO-NLC could be a potent alternative nanodelivery platform for increasing the anesthetic activity of clove oil in whiteleg shrimp (P. vannamei).
Modification of Biotesting-Based Fermented Dairy Product Design for Curd and Curd Products
Authors: Zobkova Zinaida S. , Yurova Elena A. , Semipyatniy Vladislav K. , Lazareva Ekaterina G. , Zenina Daria V. , Shelaginova Irina R.
Published: October 2022

The key trends driving the global dairy market are shelf-life extension and generating consumer demand for new products. Healthy diets and special foods meet the criteria based on the protein digestibility-corrected amino acid score, while other factors affecting the digestibility and actual biological value of the protein are not considered. Express biological evaluation tests are very important for choosing the optimal formulation and efficient manufacturing process in order to maximize the biological value (BV). Such tests adequately represent the food properties: safety, nutrition value, digestibility, health benefits, etc. This study deals with the procedures for the quick biological evaluation of dairy products using indicator organisms. We adapted the relative biological value evaluation procedure, involving Tetrahymena pyriformis, for curd (cottage cheese) and curd products. The experiments showed that the most significant parameters are the milk pasteurization temperature and the curd heating temperature. The full factorial experiment identified the optimal curd production conditions to maximize the relative biological value (RBV): 81 °C milk pasteurization temperature and 54 °C curd heating temperature using the acid method of curd production. With these parameters, the RBV is at least 282%. Biotesting confirmed the optimal curd product component ratio of 60% curd to 40% fermented dairy beverage.
Analysis of Microbial Community Diversity on the Epidermis of Wine Grapes in Manasi’s Vineyard, Xinjiang
Authors: Xu Xiaoyu , Miao Yuanyuan , Wang Huan , Du Juan , Wang Chenqiang , Shi Xuewei , Wang Bin
Published: October 2022

Epiphytic microbial communities significantly impact the health and quality of grape berries. This study utilized high-performance liquid chromatography and high-throughput sequencing to explore the epiphytic microbial diversity and physicochemical indicators in nine different wine grape varieties. In total, 1,056,651 high-quality bacterial 16S rDNA sequences and 1,101,314 fungal ITS reads were used for taxonomic categorization. Among the bacteria, Proteobacteria and Firmicutes were the dominant phyla, and Massilia, Pantoea, Pseudomonas, Halomonas, Corynebacterium, Bacillus, Anaerococcus, and Acinetobacter were the dominant genera. Among the fungi, Ascomycota and Basidiomycota were the dominant phyla, and Alternaria, Filobasidium, Erysiphe, Naganishia, and Aureobasidium were the dominant genera. Notably, Matheran (MSL) and Riesling (RS) exhibited the highest microbial diversity among the nine grape varieties. Moreover, pronounced differences in epiphytic microorganisms in red and white grapes suggested that the grape variety significantly influences the structure of surface microbial communities. Understanding the composition of epiphytic microorganisms on the grape skin can provide a direct guide to winemaking.
Physicochemical, Morphological, and Functional Characterization of Edible Anthocyanin-Enriched Aloevera Coatings on Fresh Figs (Ficus carica L.)
Authors: Al-Hilifi Sawsan Ali , Al-Ali Rawdah Mahmood , Al-Ibresam Orass T. , Kumar Nishant , Paidari Saeed , Trajkovska Petkoska Anka , Agarwal Vipul
Published: October 2022

In the present investigation, Aloe vera gel (AVG)-based edible coatings enriched with anthocyanin were prepared. We investigated the effect of different formulations of aloe-vera-based edible coatings, such as neat AVG (T1), AVG with glycerol (T2), Aloe vera with 0.2% anthocyanin + glycerol (T3), and AVG with 0.5% anthocyanin + glycerol (T4), on the postharvest quality of fig (Ficus carica L.) fruits under refrigerated conditions (4 °C) for up to 12 days of storage with 2-day examination intervals. The results of the present study revealed that the T4 treatment was the most effective for reducing the weight loss in fig fruits throughout the storage period (~4%), followed by T3, T2, and T1. The minimum weight loss after 12 days of storage (3.76%) was recorded for the T4 treatment, followed by T3 (4.34%), which was significantly higher than that of uncoated fruit (~11%). The best quality attributes, such as the total soluble solids (TSS), titratable acidity (TA), and pH, were also demonstrated by the T3 and T4 treatments. The T4 coating caused a marginal change of 0.16 in the fruit titratable acidity, compared to the change of 0.33 in the untreated fruit control after 12 days of storage at 4 °C. Similarly, the total soluble solids in the T4-coated fruits increased marginally (0.43 °Brix) compared to the uncoated control fruits (>2 °Brix) after 12 days of storage at 4 °C. The results revealed that the incorporation of anthocyanin content into AVG is a promising technology for the development of active edible coatings to extend the shelf life of fig fruits.
Genetic and Genomic Research on Sweet Potato for Sustainable Food and Nutritional Security
Authors: Xiao Yao , Zhu Mingku , Gao Shaopei
Published: October 2022

Food security is the main challenge to the developing world, especially in the least developed countries [...]
Reliability Generalization Meta-Analysis of Internet Gaming Disorder Scale
Authors: Gisbert-Pérez Júlia , Martí-Vilar Manuel , Merino-Soto César , Vallejos-Flores Miguel
Published: October 2022

The objective of this study was to carry out a reliability generalization meta-analysis of the Internet Gaming Disorder Scale (IGDS) to find out if it presents adequate values that justify its application in its four versions: original and abbreviated with dichotomous or ordinal response. A systematic review including 26 studies that apply this instrument from 2015 to June 2022 was conducted. For each version, a reliability generalization meta-analysis was performed with the random coefficients (RC) and varying coefficients (VC) model. Results showed reliability levels > 0.80 in the ordinal versions (IGDS9P and IGDS27P) and in the dichotomous 27-item version (IGDS27D), while the dichotomous 9-item version (IGDS9D) produced levels > 0.70. High heterogeneity was found in all versions (I2 > 95%; Rb > 90%). Cronbach’s α means with both models (RC-VC) did not differ significantly except for the IGDS9D version. It is concluded that, considering the dependence of the results on sample size, abbreviated versions do not guarantee that reliability remains acceptable, and dichotomous versions may provide limited but acceptable reliability. Finally, IGDS27P version is recommended in contexts where high precision is required.
Acupuncture in Women with Human Polycystic Ovary/Ovarian Syndrome: Protocol for a Randomized Controlled Trial
Authors: de Oliveira Natália M. , Machado Jorge , Huang Zaiwei , Criado Maria Begoña
Published: October 2022

(1) Background: Human polycystic ovary/ovarian syndrome (PCOS) is linked to endocrine, metabolic, and psychological complications. We propose a randomized controlled pilot study for an acupuncture protocol regarding the management of PCOS symptoms based on TCM diagnosis; (2) Methods: We will randomly allocate 120 women diagnosed with PCOS into two groups. The study group will be treated with acupuncture for points known to act upon the autonomous regulation of the hormonal, metabolic and emotional components. (3) Results and Conclusions: We expect to provide evidence of high methodological quality related to the effects and safety of an acupuncture protocol based on the perspective of a TCM diagnostic.
Facebook and Suicidal Behaviour: User Experiences of Suicide Notes, Live-Streaming, Grieving and Preventive Strategies—A Scoping Review
Authors: Shoib Sheikh , Chandradasa Miyuru , Nahidi Mahsa , Amanda Tan Weiling , Khan Sonia , Saeed Fahimeh , Swed Sarya , Mazza Marianna , Di Nicola Marco , Martinotti Giovanni , Di Giannantonio Massimo , Armiya’u Aishatu Yusha’u , De Berardis Domenico
Published: October 2022

Background: Facebook represents a new dimension for global information sharing. Suicidal behaviours and attempts are increasingly reported on Facebook. This scoping review explores the various aspects of suicidal behaviours associated with Facebook, discussing the challenges and preventive measures. Methods: PubMed, Google Scholar, and Scopus were searched for related articles published in English up to October 2021, using different combinations of “Facebook” and “suicide”. A group of experts comprising consultant psychiatrists screened the records and read the full-text articles to extract relevant data. Twenty-eight articles were chosen as relevant and included in the review under four selected themes. Results: Facebook impacts on suicidal behaviours in different aspects. Announcing suicides through sharing notes or personal information may lead to the prediction of suicide but be harmful to the online audience. Live-streaming videos of suicide is another aspect that questions Facebook’s ability to monitor shared contents that can negatively affect the audience. A positive impact is helping bereaved families to share feelings and seek support online, commemorating the lost person by sharing their photos. Moreover, it can provide real-world details of everyday user behaviours, which help predict suicide risk, primarily through novel machine-learning techniques, and provide early warning and valuable help to prevent it. It can also provide a timeline of the user’s activities and state of mind before suicide. Conclusions: Social media can detect suicidal tendencies, support those seeking help, comfort family and friends with their grief, and provide insights via timelining the users’ activities leading to their suicide. One of the limitations was the lack of quantitative studies evaluating preventative efforts on Facebook. The creators’ commitment and the users’ social responsibility will be required to create a mentally healthy Facebook environment.
“It Really Is an Elusive Illness”—Post-COVID-19 Illness Perceptions and Recovery Strategies: A Thematic Analysis
Authors: Schaap Gerko , Wensink Marleen , Doggen Carine J. M. , van der Palen Job , Vonkeman Harald E. , Bode Christina
Published: October 2022

A substantial number of patients report persisting symptoms after a COVID-19 infection: so-called post-COVID-19 syndrome. There is limited research on patients’ perspectives on post-COVID-19 symptoms and ways to recover. This qualitative study explored the illness perceptions and recovery strategies of patients who had been hospitalised for COVID-19. Differences between recovered and non-recovered patients were investigated. Semi-structured in-depth interviews were held with 24 participating patients (8 recovered and 16 non-recovered) 7 to 12 months after hospital discharge. Data were interpreted using reflexive thematic analysis. Four overarching themes were identified: (I) symptoms after hospital discharge; (II) impact of COVID-19 on daily life and self-identity; (III) uncertainty about COVID-19; and (IV) dealing with COVID-19. Formerly hospitalised post-COVID-19 patients seem to have difficulties with making sense of their illness and gaining control over their recovery. The majority of non-recovered participants continue to suffer mostly from weakness or fatigue, dyspnoea and cognitive dysfunction. No notable differences in illness beliefs were observed between recovered and non-recovered participants
Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation
Authors: Sekiguchi Yasuki , Benjamin Courteney , Manning Ciara , Butler Cody , Szymanski Michael , Filep Erica , Stearns Rebecca , Distefano Lindsay , Lee Elaine , Casa Douglas
Published: October 2022

Assessing the adaptation of rectal temperature (Trec) is critical following heat acclimatization (HAz) and heat acclimation (HA) because it is associated with exercise performance and safety; however, more feasible and valid methods need to be identified. The purpose of this study was to predict adaptations in Trec from heart rate (HR), sweat rate (SR), and thermal sensation (TS) using predictive modeling techniques. Twenty-five male endurance athletes (age, 36 ± 12 y; VO2max, 57.5 ± 7.0 mL⋅kg−1⋅min−1) completed three trials consisting of 60 min running at 59.3 ± 1.7% vVO2max in a hot environment. During trials, the highest HR and TS, SR, and Trec at the end of trials were recorded. Following a baseline trial, participants performed HAz followed by a post-HAz trial and then completed five days HA, followed by a post-HA trial. A decision tree indicated cut-points of HR (<−13 bpm), SR (>0.3 L·h−1), and TS (≤−0.5) to predict lower Trec. When two or three variables met cut-points, the probability of accuracy of showing lower Trec was 95.7%. Greater adaptations in Trec were observed when two or three variables met cut-points (−0.71 ± 0.50 °C) compared to one (−0.13 ± 0.36 °C, p < 0.001) or zero (0.0 3 ± 0.38 °C, p < 0.001). Specificity was 0.96 when two or three variables met cut-points to predict lower Trec. These results suggest using heart rate, sweat rate, and thermal sensation adaptations to indicate that the adaptations in Trec is beneficial following heat adaptations, especially in field settings, as a practical and noninvasive method.
Prevalence of Anxiety and Burnout, and Coping Mechanisms among Clinical Year Medical Undergraduate Students in Universiti Kebangsaan Malaysia Amidst the COVID-19 Pandemic
Authors: Tee Ke Ran , Ismail Abdul Samat , Ang Yong Heng , Hishamuddin Hidayah Husna , Paul Vinneeshah Jacob , Aizuddin Azimatun Noor , Zaini Ida Zarina
Published: October 2022

This study aimed to determine the prevalence of anxiety and burnout, and the coping mechanisms among clinical year undergraduate medical students in Universiti Kebangsaan Malaysia (UKM) during the coronavirus disease 2019 (COVID-19) pandemic. In total, 378 clinical year undergraduate medical students in UKM participated in this cross-sectional study from May to July 2021. A self-administered questionnaire consisting of questions on the participant’s sociodemographic data and items from the DASS-21, CBI, and Brief-COPE was distributed. Chi-square and Spearman’s correlation tests were used to calculate the correlation coefficient between both anxiety and burnout, and coping mechanisms. The prevalence of anxiety and burnout were 44.2% and 22.2%, respectively. There was a significant difference in the percentage of students with extremely severe anxiety in the presence and absence of burnout, 23.8% vs. 4.8% (p < 0.001). Among the three coping mechanisms, avoidant coping had a significant positive moderate correlation with both the presence of anxiety (r = 0.3966, p < 0.001) and the presence of burnout (r = 0.341, p < 0.001). Meanwhile, coping that was neither approach nor avoidant had a positive weak correlation with the presence of burnout (r = 0.176, p = 0.001). The prevalence of anxiety and burnout was concerning. Increased anxiety and burnout among students may negatively impact aspects of their personal, professional, and academic lives. Early recognition and preventive measures should be emphasised to prevent negative ramifications.
A Systematic Review with Framework Synthesis of the Ways That Urban Environments Influence Opportunities for Healthy and Sustainable Mobility in Older Age
Authors: Ma Tracey , Kim Jinhee , Godinho Myron Anthony , de Leeuw Evelyne , Clapham Kathleen , Kobel Conrad , Ivers Rebecca
Published: October 2022

Supporting older people’s use of sustainable transport is important for both population health and sustainable development, especially in the context of global population ageing. This systematic review identifies individual and environmental factors that influence older people’s sustainable transport use and synthesises findings using a framework approach. Factors influencing older people’s walking (n = 10 studies), bus use (n = 11), community transport use (n = 1), bicycling (n = 1), and e-bicycling (n = 1) were found to be physical, geographical, facility-based, economic, time-based, fear-based, space-based, information-based, or interpersonal. Many factors were common across transport modes. One reason for this is that environmental features designed to facilitate the use of one particular transport mode also influenced the use of other modes (e.g., bus shelters influence not only bus use but also walking as they provide pedestrian seating). Thus, environments need to be considered from the perspective of multiple, different types of road users. Another reason is that many factors related to the ways individuals experienced their environment (e.g., finding information guiding behaviour in public spaces to be unclear), regardless of any specific transport mode. This review highlights the important need for greater cross-sectoral action and input from older people.
Psychoanalytic Interventions with Abusive Parents: An Opportunity for Children’s Mental Health
Authors: Rosso Anna Maria
Published: October 2022

Research has extensively shown that most people who experience maltreatment in their childhood develop mental disorders, psychosocial adjustment problems, and, in many cases, become maltreating adults themselves. Preventing child maltreatment and treating abused children and abusive parents are, therefore, pressing public health issues. As established by the UK Children Act in 1989, child development is enhanced by remaining in the family whenever the child’s safety is assured. Thus, developing prevention and intervention programs for the purpose of repairing, whenever possible, the child–parent relationship should be a social priority. This narrative review focuses on the psychoanalytic studies related to intrapsychic dynamics and therapeutic intervention for physically abusive parents. The role of the transgenerational transmission of abuse and parents’ narcissistic fragility is crucial. Psychoanalytic interventions focus on helping the parent work through their past painful experiences and narcissistic vulnerability. Parent–child psychotherapy and mentalization-based treatment have been found to be prevalent, while there is scarce literature regarding intensive individual psychoanalytic treatment. Within the framework of attachment theory, brief interventions were developed; however, they did not prove effective for those parents who suffered experiences of maltreatment or severe neglect in childhood and for whom long-term parent–child psychotherapy resulted, which proved to be the most effective.
Prenatal Co-Exposure to Manganese, Mercury, and Lead, and Neurodevelopment in Children during the First Year of Life
Authors: Farías Paulina , Hernández-Bonilla David , Moreno-Macías Hortensia , Montes-López Sergio , Schnaas Lourdes , Texcalac-Sangrador José Luis , Ríos Camilo , Riojas-Rodríguez Horacio
Published: October 2022

Lead (Pb), mercury (Hg), and manganese (Mn) are neurotoxic, but little is known about the neurodevelopmental effects associated with simultaneous prenatal exposure to these metals. We aimed to study the associations of Pb, Hg, and Mn prenatal levels (jointly and separately) with neurodevelopment in the first year of life. Methods: Pb, Hg, and Mn blood lead levels were measured in 253 pregnant women. Their offspring’s neurodevelopment was assessed through the Bayley Scale of Infant Development III® at one, three, six, and twelve months. The metals’ mean blood levels (µg/L) were Pb = 11.2, Hg = 2.1, and Mn = 10.2. Mean language, cognitive, and motor development scores of the infants at each age were between low-average and average. Multilevel models’ results showed that language development coefficients of the offspring decreased by 1.5 points per 1 µg/dL increase in maternal blood lead levels (p = 0.002); the magnitude of the aforementioned association increased in children with maternal blood Mn < 9.6 µg/L (ß = −1.9, p = 0.003) or Hg > 1.9 µg/L (ß = −1.6, p = 0.013). Cognitive and motor development had negative associations with maternal blood Pb levels; the latter was statistically significant when the interaction term between Pb, Mn, and Hg was included (ß = −0.037, p = 0.03). Prenatal exposure to low Pb levels may impair infants’ neurodevelopment in the first year of life, even more so if they are exposed to Hg or deficient in Mn.
Status of Workers’ Health Behavior and the Association between Occupational Characteristics and Health Behavior
Authors: Lee Seung-Yeon , Jung Saemi , Lee Wanhyung
Published: October 2022

This study investigated differences in unhealthy lifestyle behaviors (ULBs) between workers and nonworkers and demonstrated the association of ULBs with occupational characteristics among workers. This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey from 2007 to 2019. For sociodemographic data, chi-squared tests were used to analyze categorical variables. Odds ratios (ORs) and 95% confidence intervals (CIs) for ULBs were estimated using Poisson regression models after adjusting for age, sex, educational level, and household income. The variables used were current smoking status, heavy drinking, and physical inactivity. Workers were associated with an increased risk of current smoking (adjusted OR (aOR) = 1.48, 95%CI = 1.41–1.56), heavy drinking (aOR = 1.79, 95%CI = 1.68–1.90), and physical inactivity (aOR = 1.07, 95%CI = 1.04–1.11) compared with nonworkers. Among workers, the differential risks of ULB according to occupational characteristics were as follows: skilled manual workers, self-employed workers, and workers working >40 h/week were at a higher risk of engaging in all ULBs than those in other occupational categories, paid workers, and workers working ≤40 h/week, respectively. Workers showed a higher risk of ULBs than nonworkers. The risk of ULBs differed according to occupational characteristics, highlighting the need for additional studies and detailed occupational health management.