bluuebunny/crossref_metadata_2025 huggingface dataset:
Microhabitat Conditions and Inter-Species Competition Predict the Successful Restoration of Declining Relict Species Populations
Authors: Kamocki Andrzej K. , Kołos Aleksander , Pogorzelec Magdalena , Ożgo Małgorzata
Published: December 2022

The local populations of relict plant taxa living near the limits of their geographical range are particularly vulnerable to extinction. For example, Salix lapponum is one of the rarest and most endangered glacial relicts in Western and Central Europe. In Poland, the number of its sites has dramatically decreased over the past few decades, prompting us to take conservation measures focused on saving endangered populations. During a field experiment aimed at the reconstruction of the downy willow population in the Knyszyn Forest (NE Poland), 730 individuals of the species were planted in four different natural sites. The seedlings were obtained by micropropagation from parts of vegetative individuals taken from the most abundant population of this species in eastern Poland (Lake Bikcze). The success of the reintroduction, measured by the number of individuals that survived 2–3 years in the wild and took up growth, was about 67%, however, with low flowering efficiency (7.5%). Additionally, monitoring showed significant differences in plant survival and growth rates under different habitat conditions prevailing at the site and with different cover from competing species, especially tall grasses. However, the restoration projects for relict shrub species should include periodic removal of competing plants and protection of plants from trampling and browsing by herbivorous mammals to increase reintroduction success.
COVID-19 in German Nursing Homes: The Impact of Facilities’ Structures on the Morbidity and Mortality of Residents—An Analysis of Two Cross-Sectional Surveys
Authors: Preuß Benedikt , Fischer Lasse , Schmidt Annika , Seibert Kathrin , Hoel Viktoria , Domhoff Dominik , Heinze Franziska , Brannath Werner , Wolf-Ostermann Karin , Rothgang Heinz
Published: December 2022

The COVID-19 pandemic constitutes an exceptional risk to people living and working in nursing homes (NHs). There were numerous cases and deaths among NH residents, especially at the beginning of the pandemic when no vaccines had yet been developed. Besides regional differences, individual NHs showed vast differences in the number of cases and deaths: while in some, nobody was affected, in others, many people were infected or died. We examine the relationship between facility structures and their effect on infections and deaths of NH residents and infections of staff, while considering the influence of COVID-19 prevalence among the general population on the incidence of infection in NHs. Two nationwide German surveys were conducted during the first and second pandemic waves, comprising responses from n = 1067 NHs. Different hurdle models, with an assumed Bernoulli distribution for zero density and a negative binomial distribution for the count density, were fitted. It can be shown that the probability of an outbreak, and the number of cases/deaths among residents and staff, increased with an increasing number of staff and the general spread of the virus. Therefore, reverse isolation of NH residents was an inadequate form of protection, especially at the beginning of the pandemic.
Effect of Farmers’ Awareness of Climate Change on Their Willingness to Adopt Low-Carbon Production: Based on the TAM-SOR Model
Authors: Ling Jiaxu , Xue Yongji , Yang Chenyujing , Zhang Yuanyuan
Published: December 2022

The COVID-19 pandemic highlighted the intricate relationships between human health and the social-ecological system in an era of climate and global change. Widespread COVID-19 adversely affected farmers’ employment, production practices, and livelihood resilience. At the same time, climate change is a key issue limiting agricultural production worldwide. Emissions of greenhouse gases, such as carbon dioxide, are a major factor leading to global climate change. Greenhouse gas emissions from agricultural production are receiving increasing attention. Therefore, it is particularly important to develop low-carbon agriculture. Based on data from 920 family farms in Jiangsu province and Shaanxi province, this study constructs a structural equation model and empirically tests the relationship between the variables using the bootstrap method. The results show that: (1) climate change awareness did not directly stimulate farmers’ willingness to pursue low-carbon production; (2) climate change awareness has an impact on low-carbon production willingness through perceived ease of use and consequence awareness; and (3) anti-risk ability can effectively moderate the impact of climate change awareness on low-carbon production behavior in agriculture. The theoretical model framework proposed in this study provides a reference for research in the field of low-carbon agriculture and also provides some insights and suggestions for environmentalists and governments. In addition, policymakers should effectively raise the sense of responsibility of farmers to address climate change and promote low-carbon agricultural production to achieve healthy and sustainable agricultural development.
Research on Coal Dust Wettability Identification Based on GA–BP Model
Authors: Zheng Haotian , Shi Shulei , Jiang Bingyou , Zheng Yuannan , Li Shanshan , Wang Haoyu
Published: December 2022

Aiming at the problems of the influencing factors of coal mine dust wettability not being clear and the identification process being complicated, this study proposed a coal mine dust wettability identification method based on a back propagation (BP) neural network optimized by a genetic algorithm (GA). Firstly, 13 parameters of the physical and chemical properties of coal dust, which affect the wettability of coal dust, were determined, and on this basis, the initial weight and threshold of the BP neural network were optimized by combining the parallelism and robustness of the genetic algorithm, etc., and an adaptive GA–BP model, which could reasonably identify the wettability of coal dust was constructed. The extreme learning machine (ELM) algorithm is a single hidden layer neural network, and the training speed is faster than traditional neural networks. The particle swarm optimization (PSO) algorithm optimizes the weight and threshold of the ELM, so PSO–ELM could also realize the identification of coal dust wettability. The results showed that by comparing the four different models, the accuracy of coal dust wettability identification was ranked as GA–BP > PSO–ELM > ELM > BP. When the maximum iteration times and population size of the PSO algorithm and the GA algorithm were the same, the running time of the different models was also different, and the time consumption was ranked as ELM < BP < PSO–ELM < GA–BP. The GA–BP model had the highest discrimination accuracy for coal mine dust wettability with an accuracy of 96.6%. This study enriched the theory and method of coal mine dust wettability identification and has important significance for the efficient prevention and control of coal mine dust as well as occupational safety and health development.
Does Quality of Care (QoC) Perception Influence the Quality of Life (QoL) in Women with Endometriosis? Results from an Italian Nationwide Survey during Covid Pandemic
Authors: Cofini Vincenza , Muselli Mario , Lolli Chiara , Fabiani Leila , Necozione Stefano
Published: December 2022

(1) Background: Endometriosis is a chronic and progressive illness that generates a slew of issues, lowering the quality of life of women. The purpose of this study was to look at the quality of life in women with endometriosis and how it relates to the quality of care. (2) Methods: This study is an online survey performed in Italy during the COVID pandemic using the Italian version of the Health Questionnaire SF-36 and a questionnaire for assessing the quality of care received. (3) Results: 1052 women with a self-reported diagnosis of endometriosis participated in the survey. The mean levels of Physical Component Summary (PCS) and Mental Component Summary (MCS) were 38.89 ± 10.55 and 34.59 ± 11.17, respectively. A total of 77% of women judged the services they received positively, and 51% considered the coordination between healthcare professionals to be satisfactory. The satisfaction index mean was 23.11 ± 4.80. PCS was positively related to Occupation, high educational level, physical activity, and health care satisfaction. MCS was positively related to higher age, physical activity, and health care satisfaction. (4) Conclusions: The study indicated that satisfaction with health care was a significant predictor of QoL in women with endometriosis, for both physical and mental health.
Disparities in Childhood Obesity Prevalence and Spatial Clustering Related to Socioeconomic Factors in Isaan, Thailand
Authors: Sritart Hiranya , Taertulakarn Somchat , Miyazaki Hiroyuki
Published: December 2022

Globally, rapid economic growth has contributed to an overall increase in the incidence of childhood obesity. Although the prevalence of obesity has been well recognized, the disparities related to a region’s socioeconomic environment in terms of the incidence of obesity are still less understood. Therefore, the purpose of this study was to examine the spatial pattern of childhood obesity and identify the potential associations between childhood obesity and socioeconomic environment in the northeastern region of Thailand, Isaan. Using nationally collected obesity data from children aged 0–5 years in 2019, we employed a geographic information system (GIS) to perform obesity cluster analysis at the smaller regional level, investigating a total of 322 districts in study area. Global and local statistical approaches were applied to calculate spatial associations between the socioeconomic status of neighborhoods and childhood obesity. The study revealed that 12.42% of the total area showed significant clusters at the district level, with high values observed in the western and northeastern areas. The results of the spatial statistical model revealed that childhood obesity was significantly positively associated with areas exhibiting high levels of socioeconomic environment factors. Identifying the associated factors and highlighting geographic regions with significant spatial clusters is a powerful approach towards understanding the role of location and expanding the knowledge on the factors contributing to childhood obesity. Our findings, as a first step, offer valuable references that could support policy-makers and local authorities in enhancing policy development with the aim of reducing childhood obesity and improving public health.
Location Optimization of Urban Fire Stations Considering the Backup Coverage
Authors: Tao Liufeng , Cui Yuqiong , Xu Yongyang , Chen Zhanlong , Guo Han , Huang Bo , Xie Zhong
Published: December 2022

Urban fires threaten the economic stability and safety of urban residents. Therefore, the limited number of fire stations should cover as many places as possible. Moreover, places with high fire risk should be covered by more fire stations. To optimize the location of urban fire stations, we construct a multi-objective optimization model for fire station planning based on the backup coverage model. The improved value of environment and ecosystem (SAVEE) model is introduced to quantify the spatial heterogeneity of urban fires. The main city zone of Wuhan is used as the study area to validate the proposed method. The results show that, considering the existing fire stations (85 facilities), the proposed model achieves a significant 38.56% in high-risk areas that can be covered by more than one fire station. If the existing fire stations are not considered when building 95 fire stations, the proposed model can achieve coverage of 50.07% in high-risk areas by utilizing more than one fire station. As a result, the proposed backup coverage model would perform better if the protection of high-risk areas is improved with as few fire stations as possible to guarantee more places covered.
Effects of Positive and Negative Experiences on Cooperative Behavior: The Role of Sharedness
Authors: Qi Fangzhu , Wang Wei , Wang Minghui , Liu Yongfang
Published: December 2022

Cooperation is a fundamental ingredient of society. However, research on the effects of positive and negative experiences on cooperation remain largely inconsistent. Therefore, through two experiments, the present study examined the effects of positive and negative experiences on cooperative behavior, and the moderation effect of sharedness on this relationship. In Study 1, we directly compared positive and negative experiences in the same context. Seventy-four students participated the experiment (Mage = 19.88, SDage = 2.21). Results showed that participants reported higher levels of cooperative behavior in negative experiences than in positive experiences. In Study 2, we examined the moderation effect of sharedness on the relationship between positive/negative experiences and cooperative behavior. The result of the experiments involving 126 participants (Mage = 19.53, SDage = 1.14) showed a significant interaction effect between positive/negative experiences and sharedness on cooperative behavior. Participants exhibited higher level of cooperative behavior in shared negative experiences than in shared positive experiences, while there were no significant differences in cooperative behavior between unshared negative and positive experiences. These results suggested that shared negative experiences could facilitate cooperative behavior.
“Lovesick”: Mental Health and Romantic Relationships among College Students
Authors: Ritter Lacey J. , Hilliard Taylor , Knox David
Published: December 2022

This research investigated the interpersonal impact of self-reported mental health diagnoses and/or perceptions on undergraduate students’ current or most recent romantic relationship. Analysis of data from a 43-item online questionnaire completed by 267 undergraduates revealed that 68.3% of women and 52.5% of men reported having either been professionally diagnosed with a mental illness or perceive themselves to be mentally ill based on DSM criteria, with women and white students reporting significantly higher levels. Sociologically speaking, mental illness was found to influence relationship initiation, maintenance, and dissolution in this study. The mental health of the respondents’ potential partners was an important consideration in deciding to form a relationship, particularly for male, white, heterosexuals. When the respondents reported relationship problems, men were more likely to blame such problems on mental health issues than women. Finally, though more respondents reported having broken up with a romantic partner who had mental health issues than had romantic partners break up with them, there were no significant gender, race, or sexual orientation differences in the termination of these romantic relationships. Study findings emphasize the importance of acknowledging and providing mental health resources—particularly interpersonal options—for emerging adults in the college setting.
Retail Food Environment around Schools in Barcelona by Neighborhood Socioeconomic Status: Implications for Local Food Policy
Authors: Londoño-Cañola Catalina , Serral Gemma , Díez Julia , Martínez-García Alba , Franco Manuel , Artazcoz Lucía , Ariza Carlos
Published: December 2022

Childhood obesity is a relevant public health problem. The school food environment has been identified as an important factor for promoting healthy eating behaviors. This study assessed the availability of and proximity to unhealthy food stores around schools (n = 22) in the city of Barcelona and its association with neighborhood socioeconomic status (NSES). We conducted this cross-sectional study between 2019 and 2020. First, we identified all food retailers (n = 153) within a 400-m buffer around each school and identified those selling unhealthy food products. Then, we used Poison regression models to measure the association between NSES and the healthy food availability index (HFAI), adjusting for population density and distance. A total of 95% of the food establishments studied were classified as unhealthy (n = 146). In all, 90% of schools that had, at least, two unhealthy retailers in their proximity. There were significant differences in the mean distance to unhealthy establishments according to neighborhood SES and population density (p < 0.05). We found a positive association between schools located in higher SES neighborhoods and a higher availability and affordability of healthy food products (IIR = 1.67, 95% CI = 1.45–1.91 p = 0.000). We found strong social inequalities in the supply of healthy foods in Barcelona. Local food policy interventions addressing retail food environment around schools should consider socioeconomic inequalities.
Unplanned Pregnancy and Depressive Symptoms during the COVID-19 Pandemic
Authors: Costa Júnior Gilberto Assunção , Rêgo Adriana Sousa , Brito Andressa Pestana , Furtado Poliana da Silva Rêgo , Pereira Thayla Thais Jatahy , Beckman Lucas Frota , Mendonça Yuri Alfredo Araujo , da Cruz Cristina Nitz , Nitz Magali Kelli , Batista Márcia Rodrigues Veras , Nunes Márcio Anderson Sousa , Barbosa Janaina Maiana Abreu , Leite José Márcio Soares , Falcai Ângela , Pacheco Marcos Antônio Barbosa , Loyola Cristina Maria Douat , Silva Maria Raimunda Chagas , Firmo Wellyson da Cunha Araújo , Silva Flor de Maria Araujo Mendonça
Published: December 2022

This is a cross-sectional study conducted with pregnant women who underwent prenatal care at basic health units in São Luís City, Maranhão State, Brazil. The authors used a semistructured questionnaire to assess the socioeconomic, demographic, and clinical characteristics of pregnant women as well as the Edinburgh Scale to investigate depressive symptoms. In order to assess the association between the explanatory variable and the outcome variable, Poisson logistic regression was performed with statistical significance at p < 0.05. A total of 205 women were interviewed, most aged between 18 and 29 years (66.83%). Of this total, 74.63% had not planned their pregnancy and 26.67% had depressive symptoms. The variables unplanned pregnancy (PR = 1.41; CI = 0.99–2.00; p = 0.05) and not undergoing psychological counseling (PR = 1.42; CI = 0.51–0.83; p ≤ 0.01) correlated with depressive symptoms during pregnancy. It is thus possible to link the variables unplanned pregnancy (p > 0.05) and not undergoing psychological counseling (p = 0.001) to depression. Therefore, it is important to monitor the mental health of pregnant women, especially in situations of vulnerability.
Machine Learning Model in Predicting Sarcopenia in Crohn’s Disease Based on Simple Clinical and Anthropometric Measures
Authors: Tseng Yujen , Mo Shaocong , Zeng Yanwei , Zheng Wanwei , Song Huan , Zhong Bing , Luo Feifei , Rong Lan , Liu Jie , Luo Zhongguang
Published: December 2022

Sarcopenia is associated with increased morbidity and mortality in Crohn’s disease. The present study is aimed at investigating the different diagnostic performance of different machine learning models in identifying sarcopenia in Crohn’s disease. Patients diagnosed with Crohn’s disease at our center provided clinical, anthropometric, and radiological data. The cross-sectional CT slice at L3 was used for segmentation and the calculation of body composition. The prevalence of sarcopenia was calculated, and the clinical parameters were compared. A total of 167 patients were included in the present study, of which 127 (76.0%) were male and 40 (24.0%) were female, with an average age of 36.1 ± 14.3 years old. Based on the previously defined cut-off value of sarcopenia, 118 (70.7%) patients had sarcopenia. Seven machine learning models were trained with the randomly allocated training cohort (80%) then evaluated on the validation cohort (20%). A comprehensive comparison showed that LightGBM was the most ideal diagnostic model, with an AUC of 0.933, AUCPR of 0.970, sensitivity of 72.7%, and specificity of 87.0%. The LightGBM model may facilitate a population management strategy with early identification of sarcopenia in Crohn’s disease, while providing guidance for nutritional support and an alternative surveillance modality for long-term patient follow-up.
The Role of Sports in the Subjective Psychological Well-Being of Hungarian Adult Population in Three Waves of the COVID-19 Pandemic
Authors: Laczkó Tamás , Ács Pongrác , Morvay-Sey Kata , Cselik Bence , Stocker Miklós
Published: December 2022

(1) Background: In this study, sport and subjective psychological well-being is investigated in three waves of the COVID-19 pandemic. (2) Methods: We have conducted three different representative sample surveys (n = 3600 altogether) on the Hungarian adult population and investigated the sample’s subjective psychological well-being with the WHO-5 Well-Being Index, as well as changes in their subjective well-being through the different waves of the pandemic. Sporting habits and socio-economic variables were also surveyed, and OLS regression models were created focused on the WHO-5 measures. (3) Results: The subjective psychological well-being of the Hungarian adult population decreased significantly, but in the second and third wave of pandemic restrictions, an increase in subjective psychological well-being has been measured. The relationships between the time spent on doing sports and subjective psychological well-being were significant in each pandemic waves. The highest subjective psychological well-being and its highest increase were reported by those who could increase their time spent on doing sports as well. (4) Conclusions: The relationships between the sports activities, physical health, size of settlement, changes in income and subjective psychological well-being of the Hungarian adult population were significant in all three waves of the COVID-19 pandemic.
Sustainable Earnings among Immigrants, and the Role of Health Status for Self-Sufficiency: A 10-Year Follow-Up Study of Labour Immigrants and Refugees to Sweden 2000–2006
Authors: Helgesson Magnus , Brendler-Lindqvist Maria , Johansson Bo , Nordquist Tobias , Tondel Martin , Svartengren Magnus
Published: December 2022

This study aimed to investigate economic self-sufficiency for immigrants, and how health status affected self-sufficiency. The proportion of self-sufficiency during years 1–10 after receiving a residence permit is presented for all non-European labour immigrants (n = 1259) and refugees (n = 23,859), aged 18–54, who immigrated to Sweden 2000–2006, and compared to a control group of Swedish-born (n = 144,745). The risk of not being self-sufficient in year 10 was analysed with Cox regression models, and the results are presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Moreover, the impact on the self-sufficiency of having a diagnosis from specialised health care during the first five years in Sweden was analysed. The results showed that half of the refugees and three-quarters of the labour immigrants were self-sufficient 10 years after residency. The adjusted risk of not being self-sufficient at year 10 was 80% higher among labour immigrants (HR = 1.8; CI = 1.6–2.0) and more than two-fold among refugees (HR = 2.7; CI = 2.6–2.8) compared to the Swedish-born. Having a diagnosis from specialised health care during the first five years in Sweden had an impact on self-sufficiency in all groups; however, the impact of having a diagnosis did not differ between refugees and Swedish-born. Measures must be taken to increase immigrants’ work participation.
Organ Weights in NPC1 Mutant Mice Partly Normalized by Various Pharmacological Treatment Approaches
Authors: Antipova Veronica , Steinhoff Lisa-Marie , Holzmann Carsten , Rolfs Arndt , Hempel Carlos Junior , Witt Martin , Wree Andreas
Published: December 2022

Niemann-Pick Type C1 (NPC1, MIM 257220) is a rare, progressive, lethal, inherited autosomal-recessive endolysosomal storage disease caused by mutations in the NPC1 leading to intracellular lipid storage. We analyzed mostly not jet known alterations of the weights of 14 different organs in the BALB/cNctr-Npc1m1N/-J Jackson Npc1 mice in female and male Npc1+/+ and Npc1−/− mice under various treatment strategies. Mice were treated with (i) no therapy, (ii) vehicle injection, (iii) a combination of miglustat, allopregnanolone, and 2-hydroxypropyl-ß-cyclodextrin (HPßCD), (iv) miglustat, and (v) HPßCD alone starting at P7 and repeated weekly throughout life. The 12 respective male and female wild-type mice groups were evaluated in parallel. In total, 351 mice (176 Npc1+/+, 175 Npc1−/−) were dissected at P65. In both sexes, the body weights of None and Sham Npc1−/− mice were lower than those of respective Npc1+/+ mice. The influence of the Npc1 mutation and/or sex on the weights of various organs, however, differed considerably. In males, Npc1+/+ and Npc1−/− mice had comparable absolute weights of lungs, spleen, and adrenal glands. In Npc1−/− mice, smaller weights of hearts, livers, kidneys, testes, vesicular, and scent glands were found. In female Npc1−/− mice, ovaries, and uteri were significantly smaller. In Npc1−/− mice, relative organ weights, i.e., normalized with body weights, were sex-specifically altered to different extents by the different therapies. The combination of miglustat, allopregnanolone, and the sterol chelator HPßCD partly normalized the weights of more organs than miglustat or HPßCD mono-therapies.
Selected Biomarkers of Depression: What Are the Effects of Cytokines and Inflammation?
Authors: Harsanyi Stefan , Kupcova Ida , Danisovic Lubos , Klein Martin
Published: December 2022

Depression is one of the leading mental illnesses worldwide and lowers the quality of life of many. According to WHO, about 5% of the worldwide population suffers from depression. Newer studies report a staggering global prevalence of 27.6%, and it is rising. Professionally, depression belonging to affective disorders is a psychiatric illness, and the category of major depressive disorder (MDD) comprises various diagnoses related to persistent and disruptive mood disorders. Due to this fact, it is imperative to find a way to assess depression quantitatively using a specific biomarker or a panel of biomarkers that would be able to reflect the patients’ state and the effects of therapy. Cytokines, hormones, oxidative stress markers, and neuropeptides are studied in association with depression. The latest research into inflammatory cytokines shows that their relationship with the etiology of depression is causative. There are stronger cytokine reactions to pathogens and stressors in depression. If combined with other predisposing factors, responses lead to prolonged inflammatory processes, prolonged dysregulation of various axes, stress, pain, mood changes, anxiety, and depression. This review focuses on the most recent data on cytokines as markers of depression concerning their roles in its pathogenesis, their possible use in diagnosis and management, their different levels in bodily fluids, and their similarities in animal studies. However, cytokines are not isolated from the pathophysiologic mechanisms of depression or other psychiatric disorders. Their effects are only a part of the whole pathway.
NRF2 in Cancer: Cross-Talk with Oncogenic Pathways and Involvement in Gammaherpesvirus-Driven Carcinogenesis
Authors: Cirone Mara , D’Orazi Gabriella
Published: December 2022

Expanding knowledge of the molecular mechanisms at the basis of tumor development, especially the cross-talk between oncogenic pathways, will possibly lead to better tailoring of anticancer therapies. Nuclear factor erythroid 2-related factor 2 (NRF2) plays a central role in cancer progression, not only because of its antioxidant activity but also because it establishes cross-talk with several oncogenic pathways, including Heat Shock Factor1 (HSF1), mammalian target of rapamycin (mTOR), and mutant (mut) p53. Moreover, the involvement of NRF2 in gammaherpesvirus-driven carcinogenesis is particularly interesting. These viruses indeed hijack the NRF2 pathway to sustain the survival of tumor cells in which they establish a latent infection and to avoid a too-high increase of reactive oxygen species (ROS) when these cancer cells undergo treatments that induce viral replication. Interestingly, NRF2 activation may prevent gammaherpesvirus-driven oncogenic transformation, highlighting how manipulating the NRF2 pathway in the different phases of gammaherpesvirus-mediated carcinogenesis may lead to different outcomes. This review will highlight the mechanistic interplay between NRF2 and some oncogenic pathways and its involvement in gammaherpesviruses biology to recapitulate published evidence useful for potential application in cancer therapy.
Rapid Downregulation of H3K4me3 Binding to Immunoregulatory Genes in Altered Gravity in Primary Human M1 Macrophages
Authors: Vahlensieck Christian , Thiel Cora Sandra , Christoffel Swantje , Herbst Sabrina , Polzer Jennifer , Lauber Beatrice Astrid , Wolter Saskia , Layer Liliana Elisabeth , Hinkelbein Jochen , Tauber Svantje , Ullrich Oliver
Published: December 2022

The sensitivity of human immune system cells to gravity changes has been investigated in numerous studies. Human macrophages mediate innate and thus rapid immune defense on the one hand and activate T- and B-cell-based adaptive immune response on the other hand. In this process they finally act as immunoeffector cells, and are essential for tissue regeneration and remodeling. Recently, we demonstrated in the human Jurkat T cell line that genes are differentially regulated in cluster structures under altered gravity. In order to study an in vivo near system of immunologically relevant human cells under physically real microgravity, we performed parabolic flight experiments with primary human M1 macrophages under highly standardized conditions and performed chromatin immunoprecipitation DNA sequencing (ChIP-Seq) for whole-genome epigenetic detection of the DNA-binding loci of the main transcription complex RNA polymerase II and the transcription-associated epigenetic chromatin modification H3K4me3. We identified an overall downregulation of H3K4me3 binding loci in altered gravity, which were unequally distributed inter- and intrachromosomally throughout the genome. Three-quarters of all affected loci were located on the p arm of the chromosomes chr5, chr6, chr9, and chr19. The genomic distribution of the downregulated H3K4me3 loci corresponds to a substantial extent to immunoregulatory genes. In microgravity, analysis of RNA polymerase II binding showed increased binding to multiple loci at coding sequences but decreased binding to central noncoding regions. Detection of altered DNA binding of RNA polymerase II provided direct evidence that gravity changes can lead to altered transcription. Based on this study, we hypothesize that the rapid transcriptional response to changing gravitational forces is specifically encoded in the epigenetic organization of chromatin.
Metabolic Activation of Benzo[a]pyrene by Human Tissue Organoid Cultures
Authors: Caipa Garcia Angela L. , Kucab Jill E. , Al-Serori Halh , Beck Rebekah S. S. , Fischer Franziska , Hufnagel Matthias , Hartwig Andrea , Floeder Andrew , Balbo Silvia , Francies Hayley , Garnett Mathew , Huch Meritxell , Drost Jarno , Zilbauer Matthias , Arlt Volker M. , Phillips David H.
Published: December 2022

Organoids are 3D cultures that to some extent reproduce the structure, composition and function of the mammalian tissues from which they derive, thereby creating in vitro systems with more in vivo-like characteristics than 2D monocultures. Here, the ability of human organoids derived from normal gastric, pancreas, liver, colon and kidney tissues to metabolise the environmental carcinogen benzo[a]pyrene (BaP) was investigated. While organoids from the different tissues showed varied cytotoxic responses to BaP, with gastric and colon organoids being the most susceptible, the xenobiotic-metabolising enzyme (XME) genes, CYP1A1 and NQO1, were highly upregulated in all organoid types, with kidney organoids having the highest levels. Furthermore, the presence of two key metabolites, BaP-t-7,8-dihydrodiol and BaP-tetrol-l-1, was detected in all organoid types, confirming their ability to metabolise BaP. BaP bioactivation was confirmed both by the activation of the DNA damage response pathway (induction of p-p53, pCHK2, p21 and γ-H2AX) and by DNA adduct formation. Overall, pancreatic and undifferentiated liver organoids formed the highest levels of DNA adducts. Colon organoids had the lowest responses in DNA adduct and metabolite formation, as well as XME expression. Additionally, high-throughput RT-qPCR explored differences in gene expression between organoid types after BaP treatment. The results demonstrate the potential usefulness of organoids for studying environmental carcinogenesis and genetic toxicology.
A Proteomic Approach Reveals That miR-423-5p Modulates Glucidic and Amino Acid Metabolism in Prostate Cancer Cells
Authors: Luce Amalia , Lombardi Angela , Ferri Carmela , Zappavigna Silvia , Tathode Madhura S. , Miles Amanda K. , Boocock David J. , Vadakekolathu Jayakumar , Bocchetti Marco , Alfano Roberto , Sperlongano Rossella , Ragone Angela , Sapio Luigi , Desiderio Vincenzo , Naviglio Silvio , Regad Tarik , Caraglia Michele
Published: December 2022

Recently, we have demonstrated that miR-423-5p modulates the growth and metastases of prostate cancer (PCa) cells both in vitro and in vivo. Here, we have studied the effects of miR-423-5p on the proteomic profile in order to identify its intracellular targets and the affected pathways. Applying a quantitative proteomic approach, we analyzed the effects on the protein expression profile of miR-423-5p-transduced PCa cells. Moreover, a computational analysis of predicted targets of miR-423-5p was carried out by using several target prediction tools. Proteomic analysis showed that 63 proteins were differentially expressed in miR-423-5-p-transfected LNCaP cells if compared to controls. Pathway enrichment analysis revealed that stable overexpression of miR-423-5p in LNCaP PCa cells induced inhibition of glycolysis and the metabolism of several amino acids and a parallel downregulation of proteins involved in transcription and hypoxia, the immune response through Th17-derived cytokines, inflammation via amphorin signaling, and ion transport. Moreover, upregulated proteins were related to the S phase of cell cycle, chromatin modifications, apoptosis, blood coagulation, and calcium transport. We identified seven proteins commonly represented in miR-423-5p targets and differentially expressed proteins (DEPs) and analyzed their expression and influence on the survival of PCa patients from publicly accessible datasets. Overall, our findings suggest that miR-423-5p induces alterations in glucose and amino acid metabolism in PCa cells paralleled by modulation of several tumor-associated processes.
Molecular and Macromolecular Interactions of Carbon-Based Nanostructures
Authors: Villari Valentina
Published: December 2022

The interactions of molecules and macromolecules with carbon nanostructures such as carbon dots, carbon nanotubes, graphene, graphene oxide, and fullerenes, have been stimulating the interest of the researchers working on the preparation, functionalization, properties and applications of carbon-based nanomaterials [...]
Surprising Structural and Functional Properties of Favism Erythrocytes Are Linked to Special Metabolic Regulation: A Cell Aging Study
Authors: Dinarelli Simone , Longo Giovanni , Germanova-Taneva Stefka , Todinova Svetla , Krumova Sashka , Girasole Marco
Published: December 2022

Favism uniquely arises from a genetic defect of the Glucose-6 Phosphate Dehydrogenase (G6PD) enzyme and results in a severe reduction of erythrocytes’ (RBCs) reducing power that impairs the cells’ ability to respond to oxidative stresses. After exposure to fava beans or a few other drugs, the patients experience acute hemolytic anemia due to RBCs’ lysis both intra and extra-vascularly. In the present paper, we compared selected biochemical, biophysical, and ultra-morphological properties of normal RBCs and cells from favism patients measured along cellular aging. Along the aging path, the cells’ characteristics change, and their structural and functional properties degrade for both samples, but with different patterns and effectors that have been characterized in biophysical and biochemical terms. In particular, the analysis revealed distinct metabolic regulation in G6DP-deficient cells that determines important peculiarities in the cell properties during aging. Remarkably, the initial higher fragility and occurrence of structural/morphological alterations of favism cells develop, with longer aging times, into a stronger resistance to external stresses and higher general resilience. This surprisingly higher endurance against cell aging has been related to a special mechanism of metabolic regulation that permits lower energy consumption in environmental stress conditions. Our results provided a direct and coherent link between the RBCs’ metabolic regulation and the cell properties that would not have been possible to establish without an investigation performed during aging. The consequences of this new knowledge, in particular, can be discussed in a more general context, such as understanding the role of the present findings in determining the characteristics of the favism pathology as a whole.
The Role of Long Noncoding RNA (lncRNAs) Biomarkers in Renal Cell Carcinoma
Authors: Rysz Jacek , Konecki Tomasz , Franczyk Beata , Ławiński Janusz , Gluba-Brzózka Anna
Published: December 2022

Renal cell carcinoma is one of the common cancers whose incidence and mortality are continuously growing worldwide. Initially, this type of tumour is usually asymptomatic. Due to the lack of reliable diagnostic markers, one-third of ccRCC patients already have distant metastases at the time of diagnosis. This underlines the importance of establishing biomarkers that would enable the prediction of the disease’s course and the risk of metastasis. LncRNA, which modulates genes at the epigenetic, transcriptional, and post-transcriptional levels, appears promising. The actions of lncRNA involve sponging and sequestering target miRNAs, thus affecting numerous biological processes. Studies have confirmed the involvement of RNAs in various diseases, including RCC. In this review, we focused on MALAT1 (a marker of serious pathological changes and a factor in the promotion of tumorigenesis), RCAT1 (tumour promoter in RCC), DUXAP9 (a plausible marker of localized ccRCC), TCL6 (exerting tumour-suppressive effects in renal cancer), LINC00342 (acting as an oncogene), AGAP2 Antisense1 (plausible predictor of RCC progression), DLEU2 (factor promoting tumours growth via the regulation of epithelial-mesenchymal transition), NNT-AS1 (sponge of miR-22 contributing to tumour progression), LINC00460 (favouring ccRCC development and progression) and Lnc-LSG1 (a factor that may stimulate ccRCC metastasis).
Extending the Hierarchy of System Specifications and Morphisms with SES Abstraction
Authors: Zeigler Bernard P.
Published: December 2022

This article works toward a unification of two related concepts that underpin system-theory-based modeling and simulation–the hierarchy of system specifications and morphisms and the System Entity Structure (SES). The hierarchy organizes system specification along levels ranging from behavior to structure capturing increasing knowledge of the system input/output processing and state dynamics. The SES is a constructive ontology describing compositions of modular components via coupling of input/output ports. Toward unification of these concepts, we propose an abstraction of the SES called the MetaSES that supports the construction of complex systems of systems with multiple components belonging to specified classes. Moreover, we place the MetaSES within a computational framework with the goal of making it easier to design and build complex hierarchical DEVS models and to communicate their structures and intended behaviors to foster continued reuse and development. We discuss several examples of applications to illustrate how the MetaSES-based enhancement of the hierarchy of system specifications and morphisms helps to push the boundaries of complexity management in the theory and practice of modeling and simulation. Research directions stemming from the proposed concepts are suggested.
Morbidity and Mortality in Non-Obese Compared to Different Classes of Obesity in Patients Undergoing Transtibial Amputations
Authors: Sambandam Senthil , Bokhari Syed Muhammad Mashhood Ali , Tsai Shirling , Nathan Vishaal Sakthivel , Senthil Tejas , Lanier Heather , Huerta Sergio
Published: December 2022

This study assesses the effect of obesity classes on outcomes and inpatient-hospital-cost compared to non-obese individuals undergoing below-knee amputations (BKAs). Retrospective matched-case controlled study performed on data from NIS Database. We identified three groups: N-Ob (BMI < 29.9 kg/m2; n = 3104), Ob-I/II (BMI: 30 to 39.9 kg/m2; n = 3107), and Ob-III (BMI > 40; n = 3092); matched for gender, comorbidities, tobacco use and elective vs. emergent surgery. Differences in morbidity, mortality, hospital length of stay (LOS), and total inpatient cost were analyzed. Blood loss anemia was more common in Ob-III compared to Ob-I/II patients (OR = 1.2; 95% CI = 1.1–1.4); blood transfusions were less commonly required in Ob-I/II (OR = 0.8; 95% CI = 0.7–0.9) comparatively; Ob-I/II encountered pneumonia less frequently (OR = 0.9; 95% CI = 0.4–0.9), whereas myocardial infarction was more frequent (OR = 7.0; 95% CI = 2.1–23.6) compared to N-Ob patients. Acute renal failure is more frequent in Ob-I/II (OR = 1.2; 95% CI = 1.0–1.3) and Ob-III (OR = 1.8; 95% CI = 1.6–1.9) compared to the N-Ob cohort. LOS was higher in N-Ob (13.1 ± 12.8 days) and Ob-III (13.5 ± 12.4 d) compared to Ob-I/II cohort (11.8 ± 10.1 d; p < 0.001). Mortality was 2.8%, 1.4%, and 2.9% (p < 0.001) for N-Ob, Ob-I/II, and Ob-III, respectively. Hospital charges were $22,025 higher in the Ob-III cohort. Ob-I/II is protective against peri-operative complications and death, whereas hospital cost is substantially higher in Ob-III patients undergoing BKAs.
The Optimization of the Light-Source Spectrum Utilizing Neural Networks for Detecting Oral Lesions
Authors: Ito Kenichi , Higashi Hiroshi , Hietanen Ari , Fält Pauli , Hine Kyoko , Hauta-Kasari Markku , Nakauchi Shigeki
Published: December 2022

Any change in the light-source spectrum modifies the color information of an object. The spectral distribution of the light source can be optimized to enhance specific details of the obtained images; thus, using information-enhanced images is expected to improve the image recognition performance via machine vision. However, no studies have applied light spectrum optimization to reduce the training loss in modern machine vision using deep learning. Therefore, we propose a method for optimizing the light-source spectrum to reduce the training loss using neural networks. A two-class classification of one-vs-rest among the classes, including enamel as a healthy condition and dental lesions, was performed to validate the proposed method. The proposed convolutional neural network-based model, which accepts a 5 × 5 small patch image, was compared with an alternating optimization scheme using a linear-support vector machine that optimizes classification weights and lighting weights separately. Furthermore, it was compared with the proposed neural network-based algorithm, which inputs a pixel and consists of fully connected layers. The results of the five-fold cross-validation revealed that, compared to the previous method, the proposed method improved the F1-score and was superior to the models that were using the immutable standard illuminant D65.
Multiscale Decomposition Prediction of Propagation Loss for EM Waves in Marine Evaporation Duct Using Deep Learning
Authors: Ji Hanjie , Yin Bo , Zhang Jinpeng , Zhang Yushi , Li Qingliang , Hou Chunzhi
Published: December 2022

A tropospheric duct (TD) is an anomalous atmospheric refraction structure in marine environments that seriously interferes with the propagation path and range of electromagnetic (EM) waves, resulting in serious influence on the normal operation of radar. Since the propagation loss (PL) can reflect the propagation characteristics of EM waves inside the duct layer, it is important to obtain an accurate cognition of the PL of EM waves in marine TDs. However, the PL is strongly non−linear with propagation range due to the trapped propagation effect inside duct layer, which makes accurate prediction of PL more difficult. To resolve this problem, a novel multiscale decomposition prediction method (VMD−PSO−LSTM) based on the long short−term memory (LSTM) network, variational mode decomposition (VMD) method and particle swarm optimization (PSO) algorithm is proposed in this study. Firstly, VMD is used to decompose PL into several smooth subsequences with different frequency scales. Then, a LSTM−based model for each subsequence is built to predict the corresponding subsequence. In addition, PSO is used to optimize the hyperparameters of each LSTM prediction model. Finally, the predicted subsequences are reconstructed to obtain the final PL prediction results. The performance of the VMD−PSO−LSTM method is verified by combining the measured PL. The minimum RMSE and MAE indicators for the VMD−PSO−PSTM method are 0.368 and 0.276, respectively. The percentage improvement of prediction performance compared to other prediction methods can reach at most 72.46 and 77.61% in RMSE and MAE, respectively, showing that the VMD−PSO−LSTM method has the advantages of high accuracy and outperforms other comparison methods.
Digital Assets in the Eyes of Generation Z: Perceptions, Outlooks, Concerns
Authors: Król Karol , Zdonek Dariusz
Published: December 2022

The recent decade saw an explosion of digital assets and digitalisation of financial services. The present contribution poses several research questions incorporated into a survey questionnaire and grouped into two categories: (1) associations with, knowledge of, and familiarity with notions relevant to digital assets and (2) perceptions of digital assets and attitude towards investing in them. Invitations to participate were sent to a group of 570 random representatives of Generation Z with 387 correctly completed questionnaires employed in the study. The research demonstrated that it was not insufficient funds that posed the greatest barrier to the growth in digital assets investments. The respondents justified their concerns about digital assets with poor knowledge of cryptocurrencies and non-fungible tokens (NFTs). The scepticism is fuelled mostly by the nontangible nature of digital assets (approx. 23%). The respondents most commonly (123, approx. 47%) associated NFTs with digital works of art, virtual objects, and NFT graphics. Blockchain most often brought to the minds of the respondents databases, algorithms, data recording, transaction data transfer, data cloud transactions, cryptocurrencies, cryptography, and decentralised financial systems. The research seems to suggest a certain difficulty with representing (characterising) the digital ecosystem and virtual reality. The media narrative emphasises the intangible nature of the digital ecosystem, often depicting it as impalpable and unreal, which does not help with how prospective investors view it. Some recommendations emerge from the research that should be considered when drawing a strategy for presenting digital assets, cryptocurrencies, and NFT markets.