bluuebunny/crossref_metadata_2025 huggingface dataset:
Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks
Authors: Volnyi Vladislav , Ilyushin Pavel , Suslov Konstantin , Filippov Sergey
Published: August 2023

The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.
Biomass-Derived 2,3-Butanediol and Its Application in Biofuels Production
Authors: Bai Yuchen , Feng Huiya , Liu Nan , Zhao Xuebing
Published: August 2023

2,3-butanediol (2,3-BDO) is an important biomass-derived platform chemical with various applications. Currently, the biological conversion of renewable carbon sources with bacteria or yeasts is a sustainable way to produce 2,3-BDO. Various carbon sources including glucose, glycerol, molasses and lignocellulose hydrolysate have been used for 2,3-BDO production, and the 2,3-BDO concentration in the fermentation broth can be higher than 150 g/L by optimizing the operating parameters with fed-batch operations. Various derivatives can be produced from 2,3-BDO, including isobutyraldehyde, 1,3-butadiene, methyl ethyl ketone (MEK), diacetyl, etc.; among these, there is a large market demand for MEK and 1,3-butadiene each year. Some of the derivatives can be used as fuel additives or to produce biofuels. Generally, there are three ways to produce hydrocarbon fuels from 2,3-BDO, which are via the steps of dehydration, carbon chain extension, and hydrogenation (or hydrodeoxygenation), with MEK or 1,3-butadiene as the intermediates. C8–C16 alkanes can be produced by these routes, which can be potentially used as bio-jet fuels. This review article focuses on the microbial production of 2,3-BDO, the biomass feedstock used for fermentation, the recovery of 2,3-BDO from the fermentation broth as well as the downstream derivative products and their potential application in bio-jet fuel production. It was concluded that 2,3-BDO is a promising biomass-derived product, but its production and application in the biofuel field is still facing the problem of high production cost. Future work is recommended to develop more efficient processes to increase the 2,3-BDO yield and more advanced technologies to produce hydrocarbon fuels.
Influence of Parasitic Elements and Operating Conditions of Semiconductor Switches on Power Losses and the Junction Temperature of These Switches
Authors: Górecki Krzysztof
Published: August 2023

This article presents the results of computer analysis of selected switching networks. In these analyses, the influence of selected parasitic components of electronic switches on the total and active power losses in these switches is considered. Analyses are performed using the SPICE software for two models of semiconductor switches: an ideal switch with RC parasitic components and the SPICE model of an IGBT. The influence of parasitic capacitances and resistances of these devices operating with the control signal of different parameters values on the total and active power dissipated in these switches is analyzed. On the basis of the obtained computations the average and peak-to-peak values of the junction temperature of electronic switches at the steady state are calculated using a compact thermal model. It is shown that parasitic elements visibly influence waveforms of the active and total power. It is proved that the simplified model using the total power in computations of the junction temperature makes it possible to obtain a high accuracy of computations only in a situation when the transistor operates with a resistive load. For an inductive load, such simplification can cause an unacceptably high computation error exceeding even 30%. Such an error is a result of big differences between the active and total powers during switching-on and switching-off processes.
Assessing the Impact of Trade Barriers on Energy Use in Turbulent Times: Current Conditions and Future Outlook for Greece
Authors: Bertsatos Gerassimos , Tsounis Nicholas
Published: August 2023

This paper develops a multi-sector computable general equilibrium (CGE) model with specific features for Greece and the non-EU Rest of the World (RoW). The novelty of this work stems from the lack of energy-focused CGE models for Greece in the current literature. The study’s objective is to determine how the Greek economy would react if a 30% import tariff and a quota of 67% on energy imports and 35% on remaining imports were implemented. Furthermore, if quotas and tariffs are in force, the Greek economy will initiate countermeasures by increasing investment in renewable energies through substitution and a 35% subsidy. To quantify this, the 2015 Input-Output (I-O) table for Greece and the non-EU RoW was used. To offer a better understanding, the 36 production sectors have been divided into Agriculture, Energy, Manufacturing, and Services. The quota scenario resulted in a reduction in all sectors in domestic production in terms of output and domestic uses, with some sectors experiencing around a 30% reduction. Renewable energy investments, on the other hand, have proven to be effective for domestic production, increasing output and domestic uses by (6.561%) and (7.886%), respectively. In terms of import tariffs, prices have increased, resulting in a significant decrease in household consumption that exceeds 30% in several sectors. Finally, policy recommendations for addressing these trade barriers and Greece’s renewable energy opportunities are proposed.
Design and Analysis of a Temperature-Sensitive Thermal Meta-Regulator Possessing Different Heat Distribution Modes
Authors: Li Yiyi , Zhang Haochun , Chen Yingjie , Zhang Jian
Published: August 2023

The control and regulation of thermal fields is of great significance in solving various thermal management problems in human life. Benefitting from the emerging space transformation technique and thermal meta-material, thermal meta-structures with unique thermal control capabilities have been rapidly developed in recent years. However, the exploration of the functional diversity of thermal meta-materials and structures is still inadequate; most related works are still limited to the single-field control effect and lack sensitivity to external environment changes. For the designed functional structures, observation and analysis of energy fluctuations and irreversible heat loss during the regulation process of the diffusive thermal field are also scare. Therefore, in this current work, we design a thermal meta-regulator (based on the space transformation theory) that is capable of differently distributing thermal energy according to the heat input direction and switching field control pattern with the change of ambient temperature. In addition to the common indicator of temperature, we also introduce the local entropy production rate and the total entropy production in the thermo-dynamic category to carry out entropy analysis of the energy processes involved in the thermal meta-regulator, making a multi-angle evaluation of the structural performance. Furthermore, we use the statistical response surface method to explore the comprehensive/interaction effect of multiple influencing factors on the thermal meta-regulator; the derived regression equations can be used to accurately predict the structural effects under different design schemes and temperature conditions. Our work further enriches the diversity and flexibility of thermal field manipulation manners and the demonstrated functions are also expected to be realized in other physical fields.
Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Authors: Ma Ping , Cui Shuhui , Chen Mingshuai , Zhou Shengzhe , Wang Kai
Published: August 2023

With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization. Accurate forecasting of future short-term residential electricity demand for each major appliance is a key part of the energy management system. This paper aims to explore the current research status of household-level short-term load forecasting, summarize the advantages and disadvantages of various forecasting methods, and provide research ideas for short-term household load forecasting and household energy management. Firstly, the paper analyzes the latest research results and research trends in deep learning load forecasting methods in terms of network models, feature extraction, and adaptive learning; secondly, it points out the importance of combining probabilistic forecasting methods that take into account load uncertainty with deep learning techniques; and further explores the implications and methods for device-level as well as ultra-short-term load forecasting. In addition, the paper also analyzes the importance of short-term household load forecasting for the scheduling of electricity consumption in household energy management systems. Finally, the paper points out the problems in the current research and proposes suggestions for future development of short-term household load forecasting.
A Novel Hybrid Control Strategy and Dynamic Performance Enhancement of a 3.3 kW GaN–HEMT-Based iL2C Resonant Full-Bridge DC–DC Power Converter Methodology for Electric Vehicle Charging Systems
Authors: Narasipuram Rajanand Patnaik , Mopidevi Subbarao
Published: August 2023

The conventional resonant inductor–inductor–capacitor (L2C) DC–DC converters have the major drawbacks of poor regulation, improper current sharing, load current ripples, conduction losses, and limiting the power levels to operate at higher loads for electric vehicle (EV) charging systems. To address the issues of the L2C converter, this paper proposes an interleaved inductor–inductor–capacitor (iL2C) full-bridge (FB) DC–DC converter as an EV charger with wide input voltage conditions. It comprises two L2C converters operating in parallel on the primary side with 8-GaN switches and maintains the single rectifier circuit on the secondary side as common. Further, it introduces the hybrid control strategy called variable frequency + phase shift modulation (VFPSM) technique for iL2C with a constant voltage charging mode operation. The design requirements, modeling, dynamic responses, and operation of an iL2C converter with a controller are discussed. The analysis of the proposed concept designed and simulated with an input voltage of 400 Vin at a load voltage of 48 V0 presented at different load conditions, i.e., full load (3.3 kW), half load (1.65 kW), and light load (330 W). The dynamic performances of the converter during line and load regulations are presented at assorted input voltages. In addition, to analyze the controller and converter performance, the concept was validated experimentally for wide input voltage applications of 300–500 Vin with a desired output of 48 V0 at full load condition, i.e., 3.3 kW and the practical efficiency of the iL2C converter was 98.2% at full load.
Effects of Freeze–Thaw Cycles on the Structures and Functional Properties of Clitocybe squamulosa Protein Isolates
Authors: Xu Lijing , Wang Xin , Xu Yaping , Meng Junlong , Feng Cuiping , Geng Xueran , Cheng Yanfen , Chang Mingchang
Published: August 2023

Changes in the functional properties and structures of Clitocybe squamulosa protein isolate (CSPI) in the process of freeze–thaw (F–T) cycles were explored. Remarkable alterations and the reduced content of protein ordered structure were revealed through structural analysis of CSPI after F–T treatments. The surface hydrophobicity and free sulfhydryl content of CSPI first increased and then decreased. However, after the F–T treatments, the carbonyl content of CSPI continued to increase. Similarly, the water holding capacity (WHC), oil holding capacity (OHC), and solubility of CSPI all declined as the number of F–T cycles increased. The foaming properties and emulsifying properties of CSPI were significantly improved and reached maximum values after three F–T cycles. CSPI undergoing two F–T cycles showed the highest digestibility, maximum polypeptide content, and highest DPPH and ·OH-radical-scavenging activities. The ·OH-radical-scavenging activities and reducing power of the gastrointestinally digested CSPI had the highest value after one F–T cycle. Therefore, it has been demonstrated that F–T treatments could be a residue-free and cost-effective tool for improving mushroom protein functional properties.
Chayote (Sechium edule (Jacq.) Swartz) Seed as an Unexploited Protein Source: Bio-Functional and Nutritional Quality of Protein Isolates
Authors: Vieira Elsa F. , Fontoura Ana Q. , Delerue-Matos Cristina
Published: August 2023

Chayote seeds have good protein quality and recognized bioactive properties, being still unexplored as a nutraceutical. In this work, chayote seed protein isolates (CSPIs) were prepared by alkaline extraction (AE) and ultrasonic-assisted extraction (UAE) using a probe (20 kHz) or a water bath (40 kHz), and their physicochemical, functional properties and nutraceutical potential were investigated. For all treatments, protein solutions (10% w/v) were treated for 20 min. The UAE significantly (p < 0.05) improved the protein extraction yield and functional properties (protein solubility, turbidity, and emulsifying and foaming properties) of CSPIs. This effect was more pronounced using a probe sonication device. The CSPI obtained by UAE-20 kHz contained 8.2 ± 0.9% dw of proteins with a balanced amino acid profile, higher content of essential amino acids (315.63 mg/g of protein) and higher protein digestibility (80.3 ± 4.5%). Furthermore, CSPI.UAE-20 kHz exhibited the highest phenolic content (7.22 mg GAE/g dw), antioxidant capacity and α-amylase inhibition (74%, at 100 μg/mL concentration). Overall, these results suggest that ultrasound technology contributed greatly to the corresponding functional and nutritional properties of chayote seed proteins. It would be, therefore, useful to apply this Cucurbitaceae species in food systems, promoting its nutritional and commercial value.
The Role of Green Tea on the Regulation of Gut Microbes and Prevention of High-Fat Diet-Induced Metabolic Syndrome in Mice
Authors: Mei Huiling , Li Jin , Liu Shujing , Jeyaraj Anburaj , Zhuang Jing , Wang Yuhua , Chen Xuan , Yuan Qijun , Li Xinghui
Published: August 2023

Green tea is a popular non-alcoholic beverage consumed worldwide and has been shown to be beneficial for human health. However, further exploration is needed to fully understand its function in reducing obesity and regulating gut microbes. Here, we investigated the modulatory effects of green tea and its functional components on high-fat diet (HF)-induced metabolic alterations and gut microbiota in obese mice. Our results showed that 1%, 2%, and 4% of green tea promotes weight loss, with the 2% and 4% groups exhibiting distinct gut microflora clusters compared to the HF group. These results were comparable to those observed in the tea polyphenols (TPP)-treated group, suggesting the TPP in green tea plays a crucial role in body weight control and gut microbiota regulation. Additionally, 32 bacteria were identified as potential obesity markers via 16S rRNA gene sequencing. The 16SrDNA gene is a chromosomal gene present in all bacterial species, highly conserved in structure and function, that can reflect the differences between different taxa. The 16S rRNA-based analysis revealed that Akkermansia, a gut-beneficial bacteria, significantly increased in the TPP group.
Daughter Coloured Noises: The Legacy of Their Mother White Noises Drawn from Different Probability Distributions
Authors: Bakalis Evangelos , Lugli Francesca , Zerbetto Francesco
Published: August 2023

White noise is fundamentally linked to many processes; it has a flat power spectral density and a delta-correlated autocorrelation. Operators acting on white noise can result in coloured noise, whether they operate in the time domain, like fractional calculus, or in the frequency domain, like spectral processing. We investigate whether any of the white noise properties remain in the coloured noises produced by the action of an operator. For a coloured noise, which drives a physical system, we provide evidence to pinpoint the mother process from which it came. We demonstrate the existence of two indices, that is, kurtosis and codifference, whose values can categorise coloured noises according to their mother process. Four different mother processes are used in this study: Gaussian, Laplace, Cauchy, and Uniform white noise distributions. The mother process determines the kurtosis value of the coloured noises that are produced. It maintains its value for Gaussian, never converges for Cauchy, and takes values for Laplace and Uniform that are within a range of its white noise value. In addition, the codifference function maintains its value for zero lag-time essentially constant around the value of the corresponding white noise.
Quality of Life Assessment in Intestinal Stoma Patients in the Saudi Population: A Cross-Sectional Study
Authors: Alharbi Reem Awad , Ahmad Nadeem , Alhedaithy Fatemah Yasser , Alnajim Majdoleen Dakhil N. , Waheed Naima , Alessa Aisha A. , Khedr Banan A. , Aleissa Marriyam A.
Published: August 2023

Background: A stoma poses numerous physical, social, and psychological challenges and interferes with some religious practices, thus potentially negatively affecting the quality of life. In the contemporary era of stoma care, the study sought to assess this impact in a population with distinctive sociocultural characteristics. Methods: A modified City of Hope Quality of Life ostomy questionnaire was used to survey patients with intestinal stomas. The scoring was dichotomous on a 0 to 10 scale, where 0–3 indicated severe impact, 4–6 moderate, and 7–10 minimum. Statistical analysis involved Student’s t-test, one-way ANOVA, Spearman’s correlation, and multivariate linear regression. Results: There were 108 patients, with 59 males and 49 females. The mean age was 40.8 years. The overall quality of life score was 6, for the social domain 7, the physical domain 6, the psychological domain 5, and the spiritual domain 6. The stoma’s impact on the quality of life was severe in 2%, moderate in 61%, and minimal in 37% of patients. Young patients, women, and those with benign diseases or without a job had low scores. Furthermore, 90% of patients had difficulty performing religious activities. For the regression analysis, life quality predictors were dietary, religious, pouch and stoma site issues, leak, odor, diarrhea or constipation, depression, anxiety, and future and disease concerns. Conclusions: Despite advances in stoma care, stoma patients had multiple impediments to their life quality. These were mainly psychological, but the physical and religious ones were also significant. A holistic approach to managing stoma patients is thus needed to help them have fulfilling lives.
Interplay of Impaired Cellular Bioenergetics and Autophagy in PMM2-CDG
Authors: Ligezka Anna N. , Budhraja Rohit , Nishiyama Yurika , Fiesel Fabienne C. , Preston Graeme , Edmondson Andrew , Ranatunga Wasantha , Van Hove Johan L. K. , Watzlawik Jens O. , Springer Wolfdieter , Pandey Akhilesh , Morava Eva , Kozicz Tamas
Published: August 2023

Congenital disorders of glycosylation (CDG) and mitochondrial disorders are multisystem disorders with overlapping symptomatology. Pathogenic variants in the PMM2 gene lead to abnormal N-linked glycosylation. This disruption in glycosylation can induce endoplasmic reticulum stress, contributing to the disease pathology. Although impaired mitochondrial dysfunction has been reported in some CDG, cellular bioenergetics has never been evaluated in detail in PMM2-CDG. This prompted us to evaluate mitochondrial function and autophagy/mitophagy in vitro in PMM2 patient-derived fibroblast lines of differing genotypes from our natural history study. We found secondary mitochondrial dysfunction in PMM2-CDG. This dysfunction was evidenced by decreased mitochondrial maximal and ATP-linked respiration, as well as decreased complex I function of the mitochondrial electron transport chain. Our study also revealed altered autophagy in PMM2-CDG patient-derived fibroblast lines. This was marked by an increased abundance of the autophagosome marker LC3-II. Additionally, changes in the abundance and glycosylation of proteins in the autophagy and mitophagy pathways further indicated dysregulation of these cellular processes. Interestingly, serum sorbitol levels (a biomarker of disease severity) and the CDG severity score showed an inverse correlation with the abundance of the autophagosome marker LC3-II. This suggests that autophagy may act as a modulator of biochemical and clinical markers of disease severity in PMM2-CDG. Overall, our research sheds light on the complex interplay between glycosylation, mitochondrial function, and autophagy/mitophagy in PMM2-CDG. Manipulating mitochondrial dysfunction and alterations in autophagy/mitophagy pathways could offer therapeutic benefits when combined with existing treatments for PMM2-CDG.
Self at Risk: Self-Esteem and Quality of Life in Cancer Patients Undergoing Surgical Treatment and Experiencing Bodily Deformities
Authors: Wojtyna Ewa , Pasek Małgorzata , Nowakowska Aleksandra , Goździalska Anna , Jochymek Małgorzata
Published: August 2023

Self-esteem is an important factor determining QoL after surgical procedures leading to bodily deformities associated with cancer treatment. However, there are few data on which components of self-esteem are most closely related to QoL. The article presents two studies that aim to fill this gap. Study 1 concerns changes in global self-esteem and QoL in patients treated surgically for oral cancer (n = 35); Study 2 concerns changes in explicit and implicit self-esteem and QoL in women with breast cancer undergoing mastectomy (n = 96). The study was longitudinal with two measurements: before and after surgery. Both studies used the EORTC QLQ-C30 and Rosenberg’s SES questionnaires. In Study 2, the Implicit Association Test (IAT) was additionally performed. The patients’ global QoL and self-esteem deteriorated after surgery. In Study 1, patients with higher initial self-esteem showed a greater range of decreased self-esteem and QoL than patients with initially low self-esteem. In Study 2, the largest decreases in various dimensions of QoL and explicit self-esteem were observed in women with fragile self-esteem. A group of women with high explicit and implicit self-esteem showed the best QoL after mastectomy. Cancer patients with high, fragile self-esteem are at risk of the greatest deterioration in QoL and self-image after cancer surgery. These people should be given special psycho-oncological care.
Effectiveness of Exercise, Cognitive Behavioral Therapy, and Pharmacotherapy on Improving Sleep in Adults with Chronic Insomnia: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials
Authors: Yu Danny J. , Recchia Francesco , Bernal Joshua D. K. , Yu Angus P. , Fong Daniel Y. , Li Shirley X. , Chan Rachel N. Y. , Hu Xiaoqing , Siu Parco M.
Published: August 2023

Despite the well-established treatment effectiveness of exercise, cognitive behavioral therapy for insomnia (CBT-I), and pharmacotherapy on improving sleep, there have been no studies to compare their long-term effectiveness, which is of clinical importance for sustainable management of chronic insomnia. This study compared the long-term effectiveness of these three interventions on improving sleep in adults with chronic insomnia. MEDLINE, PsycINFO, Embase, and SPORTDiscus were searched for eligible reports. Trials that investigated the long-term effectiveness of these three interventions on improving sleep were included. The post-intervention follow-up of the trial had to be ≥6 months to be eligible. The primary outcome was the long-term effectiveness of the three interventions on improving sleep. Treatment effectiveness was the secondary outcome. A random-effects network meta-analysis was carried out using a frequentist approach. Thirteen trials were included in the study. After an average post-intervention follow-up period of 10.3 months, both exercise (SMD, −0.29; 95% CI, −0.57 to −0.01) and CBT-I (−0.48; −0.68 to −0.28) showed superior long-term effectiveness on improving sleep compared with control. Temazepam was the only included pharmacotherapy, which demonstrated superior treatment effectiveness (−0.80; −1.25 to −0.36) but not long-term effectiveness (0.19; −0.32 to 0.69) compared with control. The findings support the use of both exercise and CBT-I for long-term management of chronic insomnia, while temazepam may be used for short-term treatment.
Impact of Quantitative Computed Tomography-Based Analysis of Abdominal Adipose Tissue in Patients with Lymphoma
Authors: Greco Federico , Beomonte Zobel Bruno , Mallio Carlo Augusto
Published: August 2023

Quantitative abdominal adipose tissue analysis is important for obtaining information about prognosis and clinical outcomes on a wide array of diseases. In recent years, the effects of abdominal adipose tissue compartments in patients with lymphoma and the changes in their distribution after therapies have been studied. This information could facilitate the improvement of therapies in patients with lymphoma, to prevent or treat both visceral obesity and sarcopenia. Opportunistic analysis of body composition on computed tomography (CT) images might contribute to the improvement of patient management and clinical outcomes together with implementation of targeted patient-tailored therapies. The purpose of this literature review is to describe the role of CT to evaluate abdominal adipose tissue quantity and distribution in patients with lymphoma.
Aroma Components Analysis and Origin Differentiation of Black Tea Based on ATD-GC-MS and E-Nose
Authors: Huang Jianfeng , Yan Tingyu , Yang Jiangfan , Xu Hui
Published: August 2023

Black tea (Fuyun 6) samples collected from three regions, Youxi, Fu’an, and Datian, were analysed by automatic thermal desorption-gas chromatography–mass spectrometry (ATD-GC–MS) combined with the electronic nose (E-nose) technique to investigate the aroma composition differences between black teas from different regions. The response surface methodology was used to optimize the ATD conditions for extracting the aroma components from the black tea. The results revealed that the optimal conditions for aroma component accumulation from black tea samples included a sample weight of 2.8 g, an adsorption time of 39 min, an adsorption temperature of 75 °C, and a cold trap temperature of −30 °C. The ATD-GC–MS analyses identified a total of 71 aroma components in the black tea samples, of which 31 were utilized to differentiate the origins of the black teas. Additional aroma activity analyses indicated that benzyl alcohol, linalool, hexanal, octanal, and nonanal had odour activity values (OAVs) greater than 10. Additionally, the OAV of decanal exceeded 100, indicating its significant contribution to the aroma profile of Fuyun 6 black tea. The E-nose results demonstrated the ability to differentiate the black tea samples from the three different origins. This study successfully identified the specific aroma substances associated with different tea origins, providing valuable insights into the aroma characteristics of black teas from various regions.
The Development of Molecular Markers for Peach Skin Blush and Their Application in Peach Breeding Practice
Authors: Guo Tianfa , Wang Jiao , Lu Xinxin , Wu Jinlong , Wang Lirong
Published: August 2023

Peach is an economically important fruit tree crop worldwide. The external color of the fruit governs the peach price, especially in fruits with different degrees of blush. Molecular marker-assisted breeding has become a necessary part of modern breeding practices, increasing their efficiency. Although the key related genes responsible for peel coloration have been found in peach, corresponding molecular markers have not been widely used in peach breeding. The development of molecular markers for peach peel color needs to be advanced and implemented in practice. This study aimed to explore the variation related to peach skin color and to develop molecular markers linked to these variants that can be used in breeding. By analyzing the expression of anthocyanin synthesis-related and regulatory genes, we confirmed that MYB10.1 is a key gene controlling skin color. We further identified that 5243 bp insertion and 483 bp deletion in the MYB10.1 promoter was highly associated with peach skin color phenotypes. In addition, we identified one transposon insertion mutation at the −2706 bp position of the MYB10.1 promoter associated with the non-red fruit skin trait and developed a molecular marker for validation. The insertion size amplified from the ‘ShiYuBaiTao’ genome DNA was approximately 3.5 kb. However, it explained a lower percentage of the non-red skin phenotype variance in peach, at 36.1%, compared to MYB10.1-2/MYB10.1-2 in this study. Based on these results, we propose that MYB10.1-2/MYB10.1-2 should not only be the only non-red skin genotype assessed but should also be combined with other molecular makers to increase the prediction accuracy of peach skin color.
Mandatory Vaccination against COVID-19: Qualitative Analysis of Responses to Open-Ended Questions
Authors: Giannakou Konstantinos , Soulioti Eftychia , Kyprianidou Maria
Published: August 2023

The mandatory COVID-19 vaccination has been suggested as a strategy to increase vaccination uptake; however, there are doubts about its legitimacy as a measure. This study aimed to explore in depth the opinions of the Cypriot population regarding mandatory vaccination against COVID-19. Qualitative analysis of responses to an open-ended question was included as part of an anonymous, online, cross-sectional survey of the general population of Cyprus. A thematic analysis was performed by reading the responses and developing a coding frame. Descriptive analysis was performed on the sociodemographic and COVID-19-vaccine-related information. A total of 311 participants responded to the open-ended question, and the thematic analysis yielded two main themes: “Vaccination Perceptions and Challenges” and “Mandatory Vaccination Policies and Societal Impact.” Within these themes, participants expressed diverse opinions on universal and targeted mandatory vaccination, highlighting concerns about insufficient research, gaps in communication, and potential side effects. Views also varied on topics such as protective measures, interdisciplinary collaboration, vaccine side effects, human rights, and societal divisions. Criticisms encompassed political motives, skepticism towards the pandemic, and considerations of individual freedoms. In summary, the findings highlighted the intricate and varied perspectives surrounding the issue of mandatory COVID-19 vaccination, which can be valuable for policymakers and public health officials in designing targeted vaccination strategies. To optimize vaccination programs, policymakers and public health officials should prioritize trust, communication, and individual autonomy.
Best Practices to Support the Self-Determination of Indigenous Communities, Collectives, and Organizations in Health Research through a Provincial Health Research Network Environment in British Columbia, Canada
Authors: Erb Tara , Stelkia Krista
Published: August 2023

In Canada, the health research funding landscape limits the self-determination of Indigenous peoples in multiple ways, including institutional eligibility, priority setting, and institutional structures that deprioritize Indigenous knowledges. However, Indigenous-led research networks represent a promising approach to transforming the funding landscape to better support the self-determination of Indigenous peoples in health research. The British Columbia Network Environment for Indigenous Health Research (BC NEIHR) is one of nine Indigenous-led networks across Canada that supports research leadership among Indigenous (First Nations, Métis, and Inuit) communities, collectives, and organizations (ICCOs). In this paper, we share three best practices to support the self-determination of ICCOs in health research based on three years of operating the BC NEIHR: (1) creating capacity-bridging initiatives to overcome funding barriers; (2) building relational research relationships with ICCOs (“people on the ground”); and (3) establishing a network of partnerships and collaborations to support ICCO self-determination. Supporting the self-determination of ICCOs and enabling them to lead their own health research is a critical pathway toward transforming the way Indigenous health research is funded and conducted in Canada.
The Changing Landscape of Financial Credit Risk Models
Authors: Verster Tanja , Fourie Erika
Published: August 2023

The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As machine learning expands, it becomes necessary to understand how these techniques work and how they can be applied. The second factor is financial crises. Where predictive models view the future as a reflection of the past, financial crises can violate this assumption. This creates a new field of research on how to adjust predictive models to incorporate forward-looking conditions, which include future expected financial crises. The third factor considers the impact of financial technology (Fintech) on the future of predictive modelling. Fintech creates new applications for predictive modelling and therefore broadens the possibilities in the financial predictive modelling field. This changing landscape causes some challenges but also creates a wealth of opportunities. One way of exploiting these opportunities and managing the associated risks is via industry collaboration. Academics should join hands with industry to create industry-focused training and industry-focused research. In summary, this study made three novel contributions to the field of financial credit risk models. Firstly, it conducts an investigation and provides a comprehensive discussion on three factors that contribute to rapid changes in the credit risk predictive models’ landscape. Secondly, it presents a unique discussion of the challenges and opportunities arising from these factors. Lastly, it proposes an innovative solution, specifically collaboration between academic and industry partners, to effectively manage the challenges and take advantage of the opportunities for mutual benefits.
The Effect of Capital Structure on Firm Value: A Study of Companies Listed on the Vietnamese Stock Market
Authors: Bui Thi Ngoc , Nguyen Xuan Hung , Pham Kieu Trang
Published: August 2023

This research investigates the relationship between capital structure and firm value for companies listed on the Vietnamese stock market. The study utilizes data from audited financial statements of 769 companies spanning from 2012 to 2022, amounting to 8459 observations. Employing various estimation methods, such as ordinary least squares (OLS), fixed effects model (FEM), random effects model (REM), and generalized least squares (GLS), the impact of capital structure on key financial indicators, namely, return on assets (ROA), return on equity (ROE), and Tobin’s Q, is assessed. The findings indicate that the debt ratio exhibits a positive influence on ROA, ROE, and Tobin’s Q, with Tobin’s Q displaying the most pronounced impact (0.450) and ROA showing the weakest impact (0.011). However, the long-term debt ratio does not significantly affect firm value. Interestingly, both short-term and long-term debt ratios have negative effects on ROA, ROE, and Tobin’s Q, with the most substantial impact on Tobin’s Q reduction (0.562). Based on these research outcomes, the authors offer valuable recommendations to companies, investors, business leaders, and policymakers to make informed decisions in selecting an optimal and sensible capital structure.
A Novel FLCN Variant in a Suspected Birt–Hogg–Dubè Syndrome Patient
Authors: Bandini Erika , Zampiga Valentina , Cangini Ilaria , Ravegnani Mila , Arcangeli Valentina , Rossi Tania , Mammi Isabella , Schiavi Francesca , Zovato Stefania , Falcini Fabio , Calistri Daniele , Danesi Rita
Published: August 2023

Subjects with pathogenic (PV) and likely pathogenic (LPV) FLCN variants have an increased risk of manifesting benign and malignant disorders that are related to Birt–Hogg–Dubé syndrome (BHDS): an autosomal dominantly inherited disorder whose severity can vary significantly. Renal cell carcinoma (RCC) development in BHD (Birt–Hogg–Dubé) patients has a very high incidence; thus, identifying this rare syndrome at early stages and preventing metastatic spread is crucial. Over the last decade, the advancement of Next Generation Sequencing (NGS) and the implementation of multigene panels for hereditary cancer syndromes (HCS) have led to a subsequent focus on additional genes and variants, including those of uncertain significance (VUS). Here, we describe a novel FLCN variant observed in a subject manifesting disorders that were suspected to be related to BHDS and with a family history of multiple cancers.
Small Molecules with Thiourea Skeleton Induce Ethylene Response in Arabidopsis
Authors: Koyama Tomoyuki , Zaizen Honami , Takahashi Ikuo , Nakamura Hidemitsu , Nakajima Masatoshi , Asami Tadao
Published: August 2023

Ethylene is the only gaseous plant hormone that regulates several aspects of plant growth, from seedling morphogenesis to fruit ripening and organ senescence. Ethylene also stimulates the germination of Striga hermonthica, a root parasitic weed that severely damages crops in sub-Saharan Africa. Thus, ethylene response stimulants can be used as weed and crop control agents. Ethylene and ethephon, an ethylene-releasing compound, are currently used as ethylene response inducers. However, since ethylene is a gas, which limits its practical application, we targeted the development of a solid ethylene response inducer that could overcome this disadvantage. We performed chemical screening using Arabidopsis thaliana “triple response” as an indicator of ethylene response. After screening, we selected a compound with a thiourea skeleton and named it ZKT1. We then synthesized various derivatives of ZKT1 and evaluated their ethylene-like activities in Arabidopsis. Some derivatives showed considerably higher activity than ZKT1, and their activity was comparable to that of 1-aminocyclopropane-1-carboxylate. Mode of action analysis using chemical inhibitors and ethylene signaling mutants revealed that ZKT1 derivatives activate the ethylene signaling pathway through interactions with its upstream components. These thiourea derivatives can potentially be potent crop-controlling chemicals.
Antidepressant and Anxiolytic Effects of L-Methionine in the WAG/Rij Rat Model of Depression Comorbid with Absence Epilepsy
Authors: Sarkisova Karine Yu. , Gabova Alexandra V. , Fedosova Ekaterina A. , Shatskova Alla B. , Narkevich Victor B. , Kudrin Vladimir S.
Published: August 2023

Depression is a severe and widespread psychiatric disease that often accompanies epilepsy. Antidepressant treatment of depression comorbid with epilepsy is a major concern due to the risk of seizure aggravation. SAMe, a universal methyl donor for DNA methylation and the synthesis of brain monoamines, is known to have high antidepressant activity. This study aimed to find out whether L-methionine (L-MET), a precursor of SAMe, can have antidepressant and/or anxiolytic effects in the WAG/Rij rat model of depression comorbid with absence epilepsy. The results indicate that L-MET reduces the level of anxiety and depression in WAG/Rij rats and suppresses associated epileptic seizures, in contrast to conventional antidepressant imipramine, which aggravates absence seizures. The antidepressant effect of L-MET was comparable with that of the conventional antidepressants imipramine and fluoxetine. However, the antidepressant profile of L-MET was more similar to imipramine than to fluoxetine. Taken together, our findings suggest that L-MET could serve as a promising new antidepressant drug with anxiolytic properties for the treatment of depression comorbid with absence epilepsy. Increases in the level of monoamines and their metabolites—DA, DOPAC, HVA, NA, and MHPG—in several brain structures, is suggested to be a neurochemical mechanism of the beneficial phenotypic effect of L-MET.
Proteome and Interactome Linked to Metabolism, Genetic Information Processing, and Abiotic Stress in Gametophytes of Two Woodferns
Authors: Ojosnegros Sara , Alvarez José Manuel , Grossmann Jonas , Gagliardini Valeria , Quintanilla Luis G. , Grossniklaus Ueli , Fernández Helena
Published: August 2023

Ferns and lycophytes have received scant molecular attention in comparison to angiosperms. The advent of high-throughput technologies allowed an advance towards a greater knowledge of their elusive genomes. In this work, proteomic analyses of heart-shaped gametophytes of two ferns were performed: the apomictic Dryopteris affinis ssp. affinis and its sexual relative Dryopteris oreades. In total, a set of 218 proteins shared by these two gametophytes were analyzed using the STRING database, and their proteome associated with metabolism, genetic information processing, and responses to abiotic stress is discussed. Specifically, we report proteins involved in the metabolism of carbohydrates, lipids, and nucleotides, the biosynthesis of amino acids and secondary compounds, energy, oxide-reduction, transcription, translation, protein folding, sorting and degradation, and responses to abiotic stresses. The interactome of this set of proteins represents a total network composed of 218 nodes and 1792 interactions, obtained mostly from databases and text mining. The interactions among the identified proteins of the ferns D. affinis and D. oreades, together with the description of their biological functions, might contribute to a better understanding of the function and development of ferns as well as fill knowledge gaps in plant evolution.
Function of the R2R3-MYB Transcription Factors in Dalbergia odorifera and Their Relationship with Heartwood Formation
Authors: Ma Ruoke , Luo Jia , Wang Weijie , Song Tianqi , Fu Yunlin
Published: August 2023

R2R3-MYB transcription factors (TFs) form one of the most important TF families involved in regulating various physiological functions in plants. The heartwood of Dalbergia odorifera is a kind of high-grade mahogany and valuable herbal medicine with wide application. However, the role of R2R3-MYB genes in the growth and development of D. odorifera, especially their relevance to heartwood formation, has not been revealed. A total of 126 R2R3-MYBs were screened from the D. odorifera genome and named DodMYB1-126 based on their location on 10 chromosomes. The collinearity results showed that purification selection was the main driving force for the evolution of the R2R3-MYB TFs family, and whole genome/fragment replication event was the main form for expanding the R2R3-MYB family, generating a divergence of gene structure and function. Comparative phylogenetic analysis classified the R2R3-MYB TFs into 33 subfamilies. S3-7,10,12-13,21 and N4-7 were extensively involved in the metabolic process; S9,13,16-19,24-25 and N1-3,8 were associated with the growth and development of D. odorifera. Based on the differential transcriptional expression levels of R2R3-MYBs in different tissues, DodMYB32, DodMYB55, and DodMYB89 were tentatively screened for involvement in the regulatory process of heartwood. Further studies have shown that the DodMYB89, localized in the nucleus, has transcriptional activation activity and is involved in regulating the biosynthesis of the secondary metabolites of heartwood by activating the promoters of the structural genes DodI2’H and DodCOMT. This study aimed to comprehensively analyze the functions of the R2R3-MYB TFs and screen for candidate genes that might be involved in heartwood formation of D. odorifera.
Multi-Omics Analysis Reveals Mechanisms of Strong Phosphorus Adaptation in Tea Plant Roots
Authors: Liu Xiaomei , Tian Jing , Liu Guodao , Sun Lili
Published: August 2023

Low phosphorus (P) is a major limiting factor for plant growth in acid soils, which are preferred by tea plants. This study aims to investigate the unique mechanisms of tea plant roots adaptation to low-P conditions. Tea plant roots were harvested for multi-omics analysis after being treated with 0 µmol·L−1 P (0P) and 250 µmol·L−1 P (250P) for 30 days. Under 250P conditions, root elongation was significantly inhibited, and the density of lateral roots was dramatically increased. This suggests that 250P may inhibit the elongation of tea plant roots. Moreover, the P concentration in roots was about 4.58 times higher than that under 0P, indicating that 250P may cause P toxicity in tea plant roots. Contrary to common plants, the expression of CsPT1/2 in tea plant roots was significantly increased by four times at 250P, which indicated that tea plant roots suffering from P toxicity might be due to the excessive expression of phosphate uptake-responsible genes under 250P conditions. Additionally, 94.80% of P-containing metabolites accumulated due to 250P stimulation, most of which were energy-associated metabolites, including lipids, nucleotides, and sugars. Especially the ratio of AMP/ATP and the expression of energy sensor CsSnRKs were inhibited by P application. Therefore, under 250P conditions, P over-accumulation due to the excessive expression of CsPT1/2 may inhibit energy metabolism and thus the growth of tea plant roots.