bluuebunny/crossref_metadata_2025 huggingface dataset:
Voices of Women within the Devanga Community, Bangalore, India
Authors: Haridarshan Pooja
Published: September 2021

Women face a unique set of challenges in India on account of traditionally held views of their gender, as well as often having lower educational and community status. Gender discrimination has continued to remain an evil in our society. Almost 70% women in South Asia are married at a young age, which is coupled with early childbearing and a lack of decision-making abilities within the traditional family structures, further enhancing their “disadvantaged” position in society. In India, the relationship of status and patriarchal values in addition to the deprived status of women worsens the situation. Despite advances having been made in the active participation of women in the political and economic domain, not much change has been seen in incidences of gender discrimination or dominant patriarchy. Daily interactions ensure that gender stereotypes have a strong influence on our values, judgements and evaluations to an extent that men and women are treated differently in society. A small weaving community, the Devanga community, which has its roots spread across India, practices stereotypes and patriarchal norms which have ensured the existence of male dominance in almost every aspect of decision making. The position of women within this community is worthy of debate and discussion, although no prior research has been conducted on this issue within the Devanga community. This paper draws upon the voices of women from within this community to understand the various levels of discrimination faced by them on a regular basis, along with highlighting male privilege as a cause of perpetuated discrimination and lesser opportunities for girls compared with boys. The reported research study analyzed data obtained from 120 women from the Devanga community through semi structured questionnaires and interviews and adopted an ethnographic feminist perspective to interpret these data. Findings indicate that the voices of women within this community are suppressed due to contributory factors such as orthodox beliefs and practices, male dominance, early marriage, and domestic responsibilities and all of these can be viewed as a barrier to providing educational opportunities to girls. Findings suggest that despite the progress made by women in India, they are still considered to be the single largest group of backward citizens.
The Integration of Different Curriculum Ideologies in a School Science Subject
Authors: Mnguni Lindelani
Published: September 2021

School science subjects may be informed by curriculum ideologies such as discipline-centered, service-centered, student-centered, or citizen-centered ideologies. The distinct characteristics of each ideology complicate the extent to which science subjects could integrate different curriculum ideologies. Consequently, the present research explored how different curriculum ideologies are reflected in a school science subject. Natural Sciences was used as a case study that followed a mixed-methods approach. Inductive content analysis was performed on the curriculum document to determine its foregrounding curriculum ideologies using a validated open-ended instrument. Findings indicate that Natural Sciences integrates four curriculum ideologies concurrently. These are the student-centered ideology, service-centered ideology, discipline-centered ideology, and citizenship-centered ideology. However, while attempting to adopt multi-curriculum ideologies, the subject could not ensure equal representation of these ideologies. For example, citizenship-centered ideology received the least representation even though it is the ideology most related to the imperatives of social empowerment. It is concluded that the integration of different ideologies may lead to teaching difficulties where teachers find it challenging to adapt teaching methods that satisfy all four curriculum ideologies. Additionally, students in different schools may be taught according to different curriculum ideology principles, leading to inconsistencies in attained learning outcomes.
Criticality Analysis and Maintenance of Solar Tower Power Plants by Integrating the Artificial Intelligence Approach
Authors: Benammar Samir , Tee Kong Fah
Published: September 2021

Maintenance of solar tower power plants (STPP) is very important to ensure production continuity. However, random and non-optimal maintenance can increase the intervention cost. In this paper, a new procedure, based on the criticality analysis, was proposed to improve the maintenance of the STPP. This procedure is the combination of three methods, which are failure mode effects and criticality analysis (FMECA), Bayesian network and artificial intelligence. The FMECA is used to estimate the criticality index of the different elements of STPP. Moreover, corrections and improvements were introduced on the criticality index values based on the expert advice method. The modeling and the simulation of the FMECA estimations incorporating the expert advice method corrections were performed using the Bayesian network. The artificial neural network is used to predicate the criticality index of the STPP exploiting the database obtained from the Bayesian network simulations. The results showed a good agreement comparing predicted and actual criticality index values. In order to reduce the criticality index value of the critical elements of STPP, some maintenance recommendations were suggested.
A Review of the Current State of Technology of Capacitive Wireless Power Transfer
Authors: Lecluyse Cédric , Minnaert Ben , Kleemann Michael
Published: September 2021

Wireless power transfer allows the transfer of energy from a transmitter to a receiver without electrical connections. Compared to galvanic charging, it displays several advantages, including improved user experience, higher durability and better mobility. As a result, both consumer and industrial markets for wireless charging are growing rapidly. The main market share of wireless power is based on the principle of inductive power transfer, a technology based on coupled coils that transfer energy via varying magnetic fields. However, inductive charging has some disadvantages, such as high cost, heat dissipation, and bulky inductors. A promising alternative is capacitive wireless power transfer that utilizes a varying electric field as medium to transfer energy. Its wireless link consists of conductive plates. The purpose of this paper is to review the state of the art, link the theoretical concepts to practical cases and to indicate where further research is required to take next steps towards a marketable product. First, we describe the capacitive link via a coupling model. Next, we highlight the recent progress in plate topologies. Additionally, the most common compensation networks, necessary for achieving efficient power transfer, are reviewed. Finally, we discuss power electronic converter types to generate the electric field.
Evaluation of the Effectiveness of the Activated Sludge Process in the Elimination Both ATB-Resistant and ATB-Susceptible E. coli Strains
Authors: Paśmionka Iwona Beata , Bulski Karol , Herbut Piotr , Boligłowa Elżbieta , Vieira Frederico Márcio C. , Bonassa Gabriela , Prá Marina Celant De , Bortoli Marcelo
Published: September 2021

Water reuse is now becoming a global necessity. However, one of the drawbacks in releasing wastewater into the environment is some persistent pollutants that are not completely removed in wastewater treatment plant. Residual bacteria and antibiotics in the inflowing wastewater can contribute to the antibiotic resistance spread in the aquatic environment. This study determined the effectiveness of activated sludge process for fecal coliform bacteria elimination, and also the Escherichia coli resistance to antimicrobial agents as erythromycin, azithromycin, clarithromycin, ofloxacin, ciprofloxacin, trimethoprim, and metronidazole in treated wastewater. The research was carried out using the membrane filtration technique, and the susceptibility of isolates to antimicrobial agents was tested by the disc diffusion method. The concentrations of fecal coliform bacteria and Escherichia coli differed significantly depending on the seasonal period in which it was carried out. Despite up to 99% reduction in the number of sanitary indicators in biologically treated wastewater, 89% of E. coli isolates resistant to the tested antibiotics was found, while 100% of the isolates were susceptible to metronidazole. Most of the isolates showed resistance to trimethoprim, and the fewest isolates were resistant to ofloxacin, indicating that some strains may react differently to antibiotics.
Mechanism of Splitting Failure for High Sidewall Cavern of Hydropower Station Based on Complex Function and Strain Gradient
Authors: Li Fan , Zhang Qiangyong , Xiang Wen
Published: September 2021

With the rapid development of society, the number of hydropower projects has increased. During the construction of these projects, due to excavation-induced unloading, the high sidewalls of the hydropower station are often subject to splitting failure, which produces many adverse effects on the construction of the cavern. In order to reveal the formation mechanism of splitting failure of hydropower stations, based on the strain gradient theory and elasto-plastic damage theory, we proposed an elasto-plastic damage softening model. Using the ODE45 program in MATLAB, we solved the numerical solution of displacement and stress of circular cavern based on our proposed elastoplastic damage model. Then, we apply the complex function method and use the Schwarz–Christoffel integral formula to obtain the mapping function from the outer domain of the high sidewall cavern to the outer domain of the unit circle. Finally, the elastic-plastic region and displacement distribution of the high sidewall cavern are obtained by mapping the obtained elastic-plastic solution of the circular cavern under the axisymmetric condition. In future research, it is necessary to further study the corresponding relationship between the internal length parameter of the material and its internal microstructure in order to accurately determine the internal length parameter.
The Data-Driven Modeling of Pressure Loss in Multi-Batch Refined Oil Pipelines with Drag Reducer Using Long Short-Term Memory (LSTM) Network
Authors: Wang Shengshi , Zuo Lianyong , Li Miao , Wang Qiao , Xue Xizhen , Liu Qicong , Jiang Shuai , Wang Jian , Duan Xitong
Published: September 2021

Due to the addition of the drag reducer in refined oil pipelines for increasing the pipeline throughput as well as reducing energy consumption, the classical method based on the Darcy-Weisbach Formula for precise pressure loss calculation presents a large error. Additionally, the way to accurately calculate the pressure loss of the refined oil pipeline with the drag reducer is in urgent need. The accurate pressure loss value can be used as the input parameter of pump scheduling or batch scheduling models of refined oil pipelines, which can ensure the safe operation of the pipeline system, achieving the goal of energy-saving and cost reduction. This paper proposes the data-driven modeling of pressure loss for multi-batch refined oil pipelines with the drag reducer in high accuracy. The multi-batch sequential transportation process and the differences in the physical properties between different kinds of refined oil in the pipelines are taken into account. By analyzing the changes of the drag reduction rate over time and the autocorrelation of the pressure loss sequence data, the sequential time effect of the drag reducer on calculating pressure loss is considered and therefore, the long short-term memory (LSTM) network is utilized. The neural network structure with two LSTM layers is designed. Moreover, the input features of the proposed model are naturally inherited from the Darcy-Weisbach Formula and on adaptation to the multi-batch sequential transportation process in refined oil pipelines, using the particle swarm optimization (PSO) algorithm for network hyperparameter tuning. Case studies show that the proposed data-driven model based on the LSTM network is valid and capable of considering the multi-batch sequential transportation process. Furthermore, the proposed model outperforms the models based on the Darcy-Weisbach Formula and multilayer perceptron (MLP) from previous studies in accuracy. The MAPEs of the proposed model of pipelines with the drag reducer are all less than 4.7% and the best performance on the testing data is 1.3627%, which can provide the calculation results of pressure loss in high accuracy. The results also indicate that the model’s capturing sequential effect of the drag reducer from the input data set contributed to improving the calculation accuracy and generalization ability.
Forecasting Water Quality Index in Groundwater Using Artificial Neural Network
Authors: Kulisz Monika , Kujawska Justyna , Przysucha Bartosz , Cel Wojciech
Published: September 2021

Groundwater quality monitoring in the vicinity of drilling sites is crucial for the protection of water resources. Selected physicochemical parameters of waters were marked in the study. The water was collected from 19 wells located close to a shale gas extraction site. The water quality index was determined from the obtained parameters. A secondary objective of the study was to test the capacity of the artificial neural network (ANN) methods to model the water quality index in groundwater. The number of ANN input parameters was optimized and limited to seven, which was derived using a multiple regression model. Subsequently, using the stepwise regression method, models with ever fewer variables were tested. The best parameters were obtained for a network with five input neurons (electrical conductivity, pH as well as calcium, magnesium and sodium ions), in addition to five neurons in the hidden layer. The results showed that the use of the parameters is a convenient approach to modeling water quality index with satisfactory and appropriate accuracy. Artificial neural network methods exhibited the capacity to predict water quality index at the desirable level of accuracy (RMSE = 0.651258, R = 0.9992 and R2 = 0.9984). Neural network models can thus be used to directly predict the quality of groundwater, particularly in industrial areas. This proposed method, using advanced artificial intelligence, can aid in water treatment and management. The novelty of these studies is the use of the ANN network to forecast WQI groundwater in an area in eastern Poland that was not previously studied—in Lublin.
Combined Profiling of Transcriptome and DNA Methylome Reveal Genes Involved in Accumulation of Soluble Sugars and Organic Acid in Apple Fruits
Authors: Ma Wenfang , Li Baiyun , Zheng Litong , Peng Yunjing , Tian Rui , Yuan Yangyang , Zhu Lingcheng , Su Jing , Ma Fengwang , Li Mingjun , Ma Baiquan
Published: September 2021

Organic acids and soluble sugars are the major determinants of fruit organoleptic quality. Additionally, DNA methylation has crucial regulatory effects on various processes. However, the epigenetic modifications in the regulation of organic acid and soluble sugar accumulation in apple fruits remain uncharacterized. In this study, DNA methylation and the transcriptome were compared between ‘Honeycrisp’ and ‘Qinguan’ mature fruits, which differ significantly regarding soluble sugar and organic acid contents. In both ‘Honeycrisp’ and ‘Qinguan’ mature fruits, the CG context had the highest level of DNA methylation, and then CHG and CHH contexts. The number and distribution of differentially methylated regions (DMRs) varied among genic regions and transposable elements. The DNA methylation levels in all three contexts in the DMRs were significantly higher in ‘Honeycrisp’ mature fruits than in ‘Qinguan’ mature fruits. A combined methylation and transcriptome analysis revealed a negative correlation between methylation levels and gene expression in DMRs in promoters and gene bodies in the CG and CHG contexts and in gene bodies in the CHH context. Two candidate genes (MdTSTa and MdMa11), which encode tonoplast-localized proteins, potentially associated with fruit soluble sugar contents and acidity were identified based on expression and DNA methylation levels. Overexpression of MdTSTa in tomato increased the fruit soluble sugar content. Moreover, transient expression of MdMa11 in tobacco leaves significantly decreased the pH value. Our results reflect the diversity in epigenetic modifications influencing gene expression and will facilitate further elucidating the complex mechanism underlying fruit soluble sugar and organic acid accumulation.
Enhanced Sentinel Surveillance System for COVID-19 Outbreak Prediction in a Large European Dialysis Clinics Network
Authors: Bellocchio Francesco , Carioni Paola , Lonati Caterina , Garbelli Mario , Martínez-Martínez Francisco , Stuard Stefano , Neri Luca
Published: September 2021

Accurate predictions of COVID-19 epidemic dynamics may enable timely organizational interventions in high-risk regions. We exploited the interconnection of the Fresenius Medical Care (FMC) European dialysis clinic network to develop a sentinel surveillance system for outbreak prediction. We developed an artificial intelligence-based model considering the information related to all clinics belonging to the European Nephrocare Network. The prediction tool provides risk scores of the occurrence of a COVID-19 outbreak in each dialysis center within a 2-week forecasting horizon. The model input variables include information related to the epidemic status and trends in clinical practice patterns of the target clinic, regional epidemic metrics, and the distance-weighted risk estimates of adjacent dialysis units. On the validation dates, there were 30 (5.09%), 39 (6.52%), and 218 (36.03%) clinics with two or more patients with COVID-19 infection during the 2-week prediction window. The performance of the model was suitable in all testing windows: AUC = 0.77, 0.80, and 0.81, respectively. The occurrence of new cases in a clinic propagates distance-weighted risk estimates to proximal dialysis units. Our machine learning sentinel surveillance system may allow for a prompt risk assessment and timely response to COVID-19 surges throughout networked European clinics.
Standing Long Jump Performance in Youth with Visual Impairments: A Multidimensional Examination
Authors: Pennell Adam , Yee Nicole , Conforti Carmen , Yau Katienne , Brian Ali
Published: September 2021

Muscular fitness, an important marker of health in youth, includes explosive strength, which can be assessed using the standing long jump (SLJ). Little is known concerning the SLJ in populations with disabilities such as youth with visual impairments (VI) who trend with decreased health- and performance-related outcomes. The purposes of this study were to investigate multidimensional SLJ performance outcomes in youth with VI (i.e., descriptives and percentages of occurrence) and to explore associations among such variables and known factors of interest (e.g., age) using robust linear bivariate regressions. This study was a secondary analysis from data collected in 2018 (N = 61, Mage = 12.98 years, SD = 2.21). SLJ performance was investigated using a multidimensional focus (e.g., distance, Test of Gross Motor Development-3 horizontal jump, landing developmental sequences, landing joint displacement, and stabilization after landing). In general, SLJ performance was substandard in youth with VI. Most SLJ assessment scores were predictive of other SLJ assessment scores. Few hypothesized variables of interest (e.g., multimorbidity) were predictive of SLJ performance. Youth with VI who match the characteristics of the current sample may have decreased explosive strength/muscular fitness and, worryingly, their SLJ performance may not be influenced by expected factors (e.g., age). Implications and explanations for these results are discussed.
Study on Ecosystem Service Value (ESV) Spatial Transfer in the Central Plains Urban Agglomeration in the Yellow River Basin, China
Authors: Liu Min , Fan Jianpeng , Wang Yating , Hu Chanjuan
Published: September 2021

Urban agglomeration is the key area to realizing regional sustainable development. Timely and accurate assessment of its ESV spatial transfer can provide a scientific basis for intercity environmental cooperation to solve transboundary environmental problems. The ESV and its spatial transfer characteristics in the Central Plains Urban Agglomeration in 2000 and 2018 were quantified by introducing the breaking point model. The findings were as follows: Firstly, taking the central city of Zhengzhou as the transferred-in area, ESV spatial transfer distributions and changes presented a trend of hinterland > metropolitan area. Secondly, the ESV spatial transfer intensity from the metropolitan area to the central city presented an increase trend, with an increase of RMB 498,400–1,053,000/km2, and the ESV spatial transfer intensity from the hinterland to the central city presented a decrease trend, with a decrease of RMB 15,200–814,000/km2 in contrast. Thirdly, a total of RMB 294.763–331.471 billion worth of ESV has been transferred, and only that worth RMB 0.534–1.716 billion reached the central city, accounting for 0.181–0.518% of the total ESV transferred and 2.760–17.482% of the central city’s ESV. Fourthly, the ESV spatial transfer radius of each city was 25.47–214.17 km, but the ESV spatial transfer range of a few cities could reach the central city. Lastly, there was inefficiency in the ESV spatial transfer only in the natural driving spatial transfer pattern due to the spatial heterogeneity of ESV distribution, and there was potential for strengthening the ecological interactions based on space guidance provided by ESV spatial transfer.
The Impact of Consequences Awareness of Public Environment on Medicine Return Behavior: A Moderated Chain Mediation Model
Authors: Lv Jun , Liu Xuan , Lay Sivhuang
Published: September 2021

With global aging trends and prosperity in the medicine market, the number of unused or expired household unused or expired medicines is increasing. Medicines which are discarded improperly result in serious pollution. From the perspective of behavioral science, the main contribution of this paper is the construction of a chain mediation model to analyze the influence mechanism between consequences awareness of the public environment and proper return behavior of unused or expired medicines. The model explores the moderating effect of personal health awareness with through observation of to the mediating effect of personal norms and return intention. Using a sample size of 366 residents from China, the proposed hypotheses are empirically tested. The results show: firstly, the direct effect of residents’ consequences awareness of public environmental awareness on the proper medicine return behavior is not significant; secondly, return intention plays a mediating role in the positive effect of consequences awareness of the public environment on proper return behavior; thirdly, personal norms and return intention play a chain mediating role in the positive impact of consequences awareness of the public environment on proper return behavior; and lastly, personal health awareness moderates the chain mediation path by strengthening the positive effect of return intention on proper return behavior.
From Digital Mental Health to Digital Social and Emotional Wellbeing: How Indigenous Community-Based Participatory Research Influenced the Australian Government’s Digital Mental Health Agenda
Authors: Bennett-Levy James , Singer Judy , Rotumah Darlene , Bernays Sarah , Edwards David
Published: September 2021

This paper describes the first six years of a government-initiated project to train Indigenous health professionals in digital mental health (d-MH). It illustrates how community-based participatory research (CBPR) methods were used to enable this “top-down” project to be transformed into a ‘ground-up’ community-guided process; and how, in turn, the guidance from the local Indigenous community partners went on to influence the national government’s d-MH agenda. The CBPR partnership between five community partners and a university rural health department is described, with illustrations of how CBPR harnessed the community’s voice in making the project relevant to their wellbeing needs. The local Indigenous community’s involvement led to a number of unexpected outcomes, which impacted locally and nationally. At an early stage, the conceptual framework of the project was changed from d-MH to the culturally-relevant Indigenous framework of digital social and emotional wellbeing (d-SEWB). This led to a significant expansion of the range and type of digital resources; and to other notable outcomes such as successful advocacy for an Aboriginal-specific online therapy program and for a dedicated “one-stop-shop” d-SEWB website, Wellmob, which was funded by the Australian government in 2019–2021. Some of the implications of this project for future Indigenous CBPR projects are discussed.
An Investigation on Korean Adolescents’ Dietary Consumption: Focused on Sociodemographic Characteristics, Physical Health, and Mental Health
Authors: Yim Hui-Rang , Yun Hyun Ju , Lee Jee Hye
Published: September 2021

The promotion of healthful dietary intake in adolescents is an important public health concern, as obesity is on the rise among adolescents. The current study aimed to determine the association between sociodemographic characteristics and dietary intake (breakfast, vegetables, milk, fruits, fast food, carbohydrate beverages, and caffeine beverages) and to examine the influences of physical and mental health on dietary intake. A nationally representative sample of 187,622 adolescents who attended middle and high schools and participated in the Korean Youth Risk Behavior Survey (2015, 2017, and 2019) was used. The results showed a decrease in breakfast, vegetable, milk, and fruit consumption and an increase in the obesity rate from 2015 to 2019. There was a significant association between dietary intake and gender, economic status, BMI, and academic achievement. Multiple logistic regression analysis results revealed that the consumption of breakfast, vegetables, milk, and fruit were associated with greater odds of having enough sleep. Fast food intake was shown to be a significant risk factor for depression with an odds ratio of 1.204 (95% CI = 1.169–1.239), and carbonated beverage consumption was shown to be a significant risk factor for stress with an odds ratio of 1.042 (95% CI = 1.030–1.054). These results provide fundamental data that can be used to develop an effective nutrition intervention program or nutrition policy for adolescents or school food service programs.
Lifestyle Factors Influencing Dietary Patterns of University Professors
Authors: López-Olivares María , De Teresa Galván Carlos , Nestares Teresa , Fernández-Gómez Elisabet , Enrique-Mirón Carmen
Published: September 2021

The objectives of this study are to identify eating patterns of university professors and to assess the relationships among sociodemographic factors in relation to lifestyle and physical activity. It is a cross-sectional, descriptive-correlational, and observational study with a representative sample of 127 educators, which covers almost the total population of university professors belonging to one of the campuses of the University of Granada (Spain). Two eating patterns were identified a posteriori through explanatory factor analysis: a Western pattern characterised by the consumption of dairy products, eggs, meat, sausages, refined oils, and butter, sugar, processed baked goods, and sugar-containing beverages and alcoholic drinks, and a Mediterranean pattern based on olive oil, fish, fruits, nuts, vegetables, pulses, cereals, and honey, which explain the 20.102 and 17.411 of variance, respectively. Significant differences are observed between the two genders with respect to anthropometric characteristics (weight and size, p < 0.001 in both cases) and to nutritional status (p = 0.011). Origin (p = 0.022) and level of physical activity (p = 0.010) were significantly related to adherence to a Western diet pattern. In the case of the Mediterranean diet pattern, significant differences are observed according to the professors’ type of bachelor’s degree (p = 0.37). This study provides evidence on factors having an impact on adherence to eating patterns of professors of the University of Granada, and it suggests that programmes addressed to such groups should be developed to promote health.
Domestic Work, Self-Reported Diagnosed Depression and Related Costs among Women and Men—Results from a Population-Based Study in Sweden
Authors: Molarius Anu , Metsini Alexandra
Published: September 2021

Background: In contrast to paid work, few studies have investigated the association between unpaid domestic work and mental health. The aim of this study was to investigate the association between domestic work and self-reported diagnosed depression and to estimate related costs in a general population. Method: The study is based on women (N = 7981) and men (N = 6203) aged 30–69 years who responded to a survey questionnaire in Mid-Sweden in 2017 (overall response rate 43%). Multivariate logistic regression models, adjusting for age group, educational level, family status, employment status, economic difficulties, and social support, were used to study the association between domestic work and depression. The estimation of direct and indirect costs was based on the calculation of population attributable risks, the literature, and administrative data. Results: In total, 25% of the women and 14% of the men spent more than 20 h a week on domestic work, and 57% of the women and 39% of the men experienced domestic work sometimes or more often as burdensome. A strong independent association between experiencing domestic work as burdensome and depression was observed both in women and men. The total cost of depression possibly related to burdensome domestic work was estimated up to EUR 135.1 million (min EUR 20.7 million–max EUR 21.4 billion) of the total EUR 286.4 million per year in Mid-Sweden. Conclusions: The association between experiencing domestic work as burdensome and depression was strong among both women and men and was not restricted to employed persons or to parents with children. Even though the cross-sectional design does not allow one to assess the direction of the association between domestic work and depression, and longitudinal studies are needed, the results imply that strain in domestic work should be taken into account when considering factors that contribute to the prevalence of depression in the general population and its high societal costs.
Gender Differences in Traumatic Experiences, PTSD, and Relevant Symptoms among the Iraqi Internally Displaced Persons
Authors: Taha Perjan Hashim , Sijbrandij Marit
Published: September 2021

Conflict in Iraq has led to a large number of internally displaced Iraqis, with a great impact on their mental health. A few previous studies investigated the gender differences of mental disorders in Iraqi internally displaced persons (IDPs). The aim of this study was to assess gender differences among Iraqi IDPs after the 2014 terrorist attacks in terms of types of traumatic experiences, prevalence of post-traumatic stress disorder (PTSD), and other symptoms of common mental disorders (depression, anxiety, and somatization symptoms). A cross-sectional survey was conducted in April–June 2015 among 358 female and 464 male adult IDPs living in IDP camps in Duhok, Iraq. The Harvard Trauma Questionnaire (HTQ), General Health Questionnaire (GHQ-28), and Self-Reporting Questionnaire (SRQ-20) were applied by local interviewers. Comparison of scores of these measures between the two genders was performed using independent sample t-tests. Logistic regression analysis was carried out to identify predictors for PTSD. Although the types of traumatic events experienced by female and male IDPs were nearly similar, males reported higher exposure to combat situation, torture, oppressions, and destruction of personal properties (t = 3.718 and 4.758, respectively, p < 0.001). Overall, males experienced more events than females (p < 0.001). The probable PTSD prevalence rates (29.1% among females and 31.9% among males) did not differ significantly (p = 0.212). Female IDPs reported more somatic (p < 0.001) and depressive/anxious (p < 0.001) symptoms than males. The demographic factors and duration of camp stay were not associated significantly with PTSD diagnosis. Probable PTSD rates among male and female IDPs in Iraq are substantial. Although no gender differences were found in probable PTSD rates between female and male Iraqi IDPs, the mean score of common mental disorders cases was higher among females and they presented with higher levels of somatic and depressive/anxious symptoms. Further studies are needed to clarify the underlying mechanisms contributing to gender differences in PTSD.
Primary Human Colon Epithelial Cells (pHCoEpiCs) Do Express the Shiga Toxin (Stx) Receptor Glycosphingolipids Gb3Cer and Gb4Cer and Are Largely Refractory but Not Resistant towards Stx
Authors: Detzner Johanna , Püttmann Charlotte , Pohlentz Gottfried , Humpf Hans-Ulrich , Mellmann Alexander , Karch Helge , Müthing Johannes
Published: September 2021

Shiga toxin (Stx) is released by enterohemorrhagic Escherichia coli (EHEC) into the human intestinal lumen and transferred across the colon epithelium to the circulation. Stx-mediated damage of human kidney and brain endothelial cells and renal epithelial cells is a renowned feature, while the sensitivity of the human colon epithelium towards Stx and the decoration with the Stx receptor glycosphingolipids (GSLs) globotriaosylceramide (Gb3Cer, Galα1-4Galβ1-4Glcβ1-1Cer) and globotetraosylceramide (Gb4Cer, GalNAcβ1-3Galα1-4Galβ1-4Glcβ1-1Cer) is a matter of debate. Structural analysis of the globo-series GSLs of serum-free cultivated primary human colon epithelial cells (pHCoEpiCs) revealed Gb4Cer as the major neutral GSL with Cer (d18:1, C16:0), Cer (d18:1, C22:1/C22:0) and Cer (d18:1, C24:2/C24:1) accompanied by minor Gb3Cer with Cer (d18:1, C16:0) and Cer (d18:1, C24:1) as the dominant lipoforms. Gb3Cer and Gb4Cer co-distributed with cholesterol and sphingomyelin to detergent-resistant membranes (DRMs) used as microdomain analogs. Exposure to increasing Stx concentrations indicated only a slight cell-damaging effect at the highest toxin concentration of 1 µg/mL for Stx1a and Stx2a, whereas a significant effect was detected for Stx2e. Considerable Stx refractiveness of pHCoEpiCs that correlated with the rather low cellular content of the high-affinity Stx-receptor Gb3Cer renders the human colon epithelium questionable as a major target of Stx1a and Stx2a.
Salmonella enterica Serovar Typhi Induces Host Metabolic Reprogramming to Increase Glucose Availability for Intracellular Replication
Authors: Wang Jingting , Ma Shuai , Li Wanwu , Wang Xinyue , Huang Di , Jiang Lingyan , Feng Lu
Published: September 2021

Salmonella enterica serovar Typhi (S. Typhi) is a human-limited intracellular pathogen and the cause of typhoid fever, a severe systemic disease. Pathogen–host interaction at the metabolic level affects the pathogenicity of intracellular pathogens, but it remains unclear how S. Typhi infection influences host metabolism for its own benefit. Herein, using metabolomics and transcriptomics analyses, combined with in vitro and in vivo infection assays, we investigated metabolic responses in human macrophages during S. Typhi infection, and the impact of these responses on S. Typhi intracellular replication and systemic pathogenicity. We observed increased glucose content, higher rates of glucose uptake and glycolysis, and decreased oxidative phosphorylation in S. Typhi-infected human primary macrophages. Replication in human macrophages and the bacterial burden in systemic organs of humanized mice were reduced by either the inhibition of host glucose uptake or a mutation of the bacterial glucose uptake system, indicating that S. Typhi utilizes host-derived glucose to enhance intracellular replication and virulence. Thus, S. Typhi promotes its pathogenicity by inducing metabolic changes in host macrophages and utilizing the glucose that subsequently accumulates as a nutrient for intracellular replication. Our findings provide the first metabolic signature of S. Typhi-infected host cells and identifies a new strategy utilized by S. Typhi for intracellular replication.
Postharvest Treatment of Hydrogen Sulfide Delays the Softening of Chilean Strawberry Fruit by Downregulating the Expression of Key Genes Involved in Pectin Catabolism
Authors: Molinett Sebastian A. , Alfaro Juan F. , Sáez Felipe A. , Elgueta Sebastian , Moya-León María A. , Figueroa Carlos R.
Published: September 2021

Hydrogen sulfide (H2S) plays several physiological roles in plants. Despite the evidence, the role of H2S on cell wall disassembly and its implications on fleshy fruit firmness remains unknown. In this work, the effect of H2S treatment on the shelf-life, cell wall polymers and cell wall modifying-related gene expression of Chilean strawberry (Fragaria chiloensis) fruit was tested during postharvest storage. The treatment with H2S prolonged the shelf-life of fruit by an effect of optimal dose. Fruit treated with 0.2 mM H2S maintained significantly higher fruit firmness than non-treated fruit, reducing its decay and tripling its shelf-life. Additionally, H2S treatment delays pectin degradation throughout the storage period and significantly downregulated the expression of genes encoding for pectinases, such as polygalacturonase, pectate lyase, and expansin. This evidence suggests that H2S as a gasotransmitter prolongs the post-harvest shelf-life of the fruit and prevents its fast softening rate by a downregulation of the expression of key pectinase genes, which leads to a decreased pectin degradation.
Crosstalk between Metabolic Disorders and Immune Cells
Authors: Saitoh Shinichi , Van Wijk Koen , Nakajima Osamu
Published: September 2021

Metabolic syndrome results from multiple risk factors that arise from insulin resistance induced by abnormal fat deposition. Chronic inflammation owing to obesity primarily results from the recruitment of pro-inflammatory M1 macrophages into the adipose tissue stroma, as the adipocytes within become hypertrophied. During obesity-induced inflammation in adipose tissue, pro-inflammatory cytokines are produced by macrophages and recruit further pro-inflammatory immune cells into the adipose tissue to boost the immune response. Here, we provide an overview of the biology of macrophages in adipose tissue and the relationship between other immune cells, such as CD4+ T cells, natural killer cells, and innate lymphoid cells, and obesity and type 2 diabetes. Finally, we discuss the link between the human pathology and immune response and metabolism and further highlight potential therapeutic targets for the treatment of metabolic disorders.
Nitric Oxide: From Gastric Motility to Gastric Dysmotility
Authors: Idrizaj Eglantina , Traini Chiara , Vannucchi Maria Giuliana , Baccari Maria Caterina
Published: September 2021

It is known that nitric oxide (NO) plays a key physiological role in the control of gastrointestinal (GI) motor phenomena. In this respect, NO is considered as the main non-adrenergic, non-cholinergic (NANC) inhibitory neurotransmitter responsible for smooth muscle relaxation. Moreover, many substances (including hormones) have been reported to modulate NO production leading to changes in motor responses, further underlying the importance of this molecule in the control of GI motility. An impaired NO production/release has indeed been reported to be implicated in some GI dysmotility. In this article we wanted to focus on the influence of NO on gastric motility by summarizing knowledge regarding its role in both physiological and pathological conditions. The main role of NO on regulating gastric smooth muscle motor responses, with particular reference to NO synthases expression and signaling pathways, is discussed. A deeper knowledge of nitrergic mechanisms is important for a better understanding of their involvement in gastric pathophysiological conditions of hypo- or hyper-motility states and for future therapeutic approaches. A possible role of substances which, by interfering with NO production, could prove useful in managing such motor disorders has been advanced.
An Inducible and Vascular Smooth Muscle Cell-Specific Pink1 Knockout Induces Mitochondrial Energetic Dysfunction during Atherogenesis
Authors: Docherty Craig K. , Bresciani Jordan , Carswell Andy , Chanderseka Amrita , Friel Elaine , Stasi Marianna , Mercer John R.
Published: September 2021

DNA damage and mitochondrial dysfunction are defining characteristics of aged vascular smooth muscle cells (VSMCs) found in atherosclerosis. Pink1 kinase regulates mitochondrial homeostasis and recycles dysfunctional organelles critical for maintaining energetic homeostasis. Here, we generated a new vascular-specific Pink1 knockout and assessed its effect on VSMC-dependent atherogenesis in vivo and VSMC energetic metabolism in vitro. A smooth muscle cell-specific and MHC-Cre-inducible flox’d Pink1f/f kinase knockout was made on a ROSA26+/0 and ApoE−/− C57Blk6/J background. Mice were high fat fed for 10 weeks and vasculature assessed for physiological and pathogical changes. Mitochondrial respiratory activity was then assessed in wild-type and knockout animals vessels and isolated cells for their reliance on oxidative and glycolytic metabolism. During atherogenesis, we find that Pink1 knockout affects development of plaque quality rather than plaque quantity by decreasing VSMC and extracellular matrix components, collagen and elastin. Pink1 protein is important in the wild-type VSMC response to metabolic stress and induced a compensatory increase in hexokinase II, which catalyses the first irreversible step in glycolysis. Pink1 appears to play an important role in VSMC energetics during atherogenesis but may also provide insight into the understanding of mitochondrial energetics in other diseases where the regulation of energetic switching between oxidative and glycolytic metabolism is found to be important.
Passive Transfer of Blood Sera from ALS Patients with Identified Mutations Results in Elevated Motoneuronal Calcium Level and Loss of Motor Neurons in the Spinal Cord of Mice
Authors: Polgár Tamás F. , Meszlényi Valéria , Nógrádi Bernát , Körmöczy Laura , Spisák Krisztina , Tripolszki Kornélia , Széll Márta , Obál Izabella , Engelhardt József I. , Siklós László , Patai Roland
Published: September 2021

Introduction: Previously, we demonstrated the degeneration of axon terminals in mice after repeated injections of blood sera from amyotrophic lateral sclerosis (ALS) patients with identified mutations. However, whether a similar treatment affects the cell body of motor neurons (MNs) remained unresolved. Methods: Sera from healthy individuals or ALS patients with a mutation in different ALS-related genes were intraperitoneally injected into ten-week-old male Balb/c mice (n = 3/serum) for two days. Afterward, the perikaryal calcium level was measured using electron microscopy. Furthermore, the optical disector method was used to evaluate the number of lumbar MNs. Results: The cytoplasmic calcium level of the lumbar MNs of the ALS-serum-treated mice, compared to untreated and healthy-serum-treated controls, was significantly elevated. While injections of the healthy serum did not reduce the number of MNs compared to the untreated control group, ALS sera induced a remarkable loss of MNs. Discussion: Similarly to the distant motor axon terminals, the injection of blood sera of ALS patients has a rapid degenerative effect on MNs. Analogously, the magnitude of the evoked changes was specific to the type of mutation; furthermore, the degeneration was most pronounced in the group treated with sera from ALS patients with a mutation in the chromosome 9 open reading frame 72 gene.
Intranasal Delivery of RGD-Containing Osteopontin Heptamer Peptide Confers Neuroprotection in the Ischemic Brain and Augments Microglia M2 Polarization
Authors: Davaanyam Dashdulam , Kim Il-Doo , Lee Ja-Kyeong
Published: September 2021

Osteopontin (OPN), a phosphorylated glycoprotein, is induced in response to tissue damage and inflammation in various organs, including the brain. In our previous studies, we reported the robust neuroprotective effects of the icosamer OPN peptide OPNpt20, containing arginine-glycine-aspartic acid (RGD) and serine-leucine-alanine-tyrosine (SLAY) motifs, in an animal model of transient focal ischemia and demonstrated that its anti-inflammatory, pro-angiogenic, and phagocytosis inducing functions are responsible for the neuroprotective effects. In the present study, we truncated OPNpt20 to 13 or 7 amino acid peptides containing RGD (R) and/or SLAY (S) motifs (OPNpt13RS, OPNpt7R, OPNpt7RS, and OPNpt7S), and their neuroprotective efficacy was examined in a rat middle cerebral artery occlusion (MCAO) model. Intranasal administration of all four peptides significantly reduced infarct volume; OPNpt7R (VPNGRGD), the 7-amino-acid peptide containing an RGD motif, was determined to be the most potent, with efficacy comparable to that of OPNpt20. Additionally, sensory–motor functional deficits of OPNpt7R-administered MCAO animals were significantly improved, as indicated by the modified neurological severity scores and rotarod test. Notably, the expression of M1 markers was suppressed, whereas that of M2 markers (Arginase 1, CD206, and VEGF) was significantly enhanced in OPNpt7R-treated primary microglia cultures. Inflammation resolution by OPNpt7R was further confirmed in MCAO animals, in which upregulation of anti-inflammatory cytokines (Arg1, IL-10, IL-4, and CD36) and enhanced efferocytosis were detected. Moreover, studies using three mutant peptides (OPNpt7R-RAA or OPNpt7R-RAD, where RGD was replaced with RAA or RAD, respectively, and OPNpt7R-sc containing scrambled sequences) revealed that the RGD motif plays a vital role in conferring neuroprotection. In conclusion, the RGD-containing OPN heptamer OPNpt7R exhibits neuroprotective effects in the post-ischemic brain by suppressing M1 markers and augmenting M2 polarization of microglia and the RGD motif plays a critical role in these activities.
Recording Persicaria maculosa and P. lapathifolia (Polygonaceae)
Authors: Wilcox Michael
Published: September 2021

Persicaria maculosa Gray (Redshank) is a distinct species which can be distinguished from all forms of P. lapathifolia (L.) Delarbe (Pale Persicaria) based on the outer tepal veins. The recording and identification of these two taxa can be clouded by colour variation (especially in the latter species) and due to varied treatments in different works or Floras. This article describes ways to separate the two species and gives details of the various treatments in order for others to decide which taxonomic work should be followed. It suggests that there is a greater need for further morphological and or molecular studies for this complex group in order to form a consensus. Hybrids may occur but none have been confirmed by scientific methods. It may be that most of these taxa (especially in P. lapathifolia s.l.) are recognizable as forms or varieties, and this is also suggested (informally at present) by the author below, until further work clarifies the situation.
Typification of Vulpia attenuata (Poaceae)
Authors: Stace Clive A.
Published: September 2021

The various interpretations of Vulpia attenuata Parl. are outlined. The species is lectotypified on a Sicilian specimen of V. geniculata (L.) Link in FI.