bluuebunny/crossref_metadata_2025 huggingface dataset:
Plant Phenology Simulation and Trigger Threshold Based on Total Climatic Production Factors—A Case Study of Stipa krylovii Phenology
Authors: Zhou Guangsheng , Gu Wenjie , Liu Erhua , Zhou Li , Song Xingyang , Lv Xiaomin , Ji Yuhe
Published: June 2023

In response to the new concept of the impact of total climate production factors on plant phenology, this study verifies the feasibility of simulating plant phenology and triggering thresholds based on total climatic production factors by using the phenological and meteorological observation data of S. krylovii plants from 1985 to 2018 at the Xilinhot National Climate Observatory of China Meteorological Administration. The results indicate that the total climate production factors have a significant impact on plant phenological changes and can be effectively utilized for simulating phenology and determining triggering thresholds. The mutation of cumulative climate production potential based on total climate production factors can effectively indicate the green-up date and the wilting date of S. krylovii plants, and their triggering thresholds depend on the parameters of climate resource changes and the characteristics of plant biology, which are (0.085, −5.363) and (0.086, −27.620), respectively. The cumulative climate production potential based on total climate production factors can effectively indicate the heading date of S. krylovii plants, and its triggering thresholds also depend on the parameters of climate resource changes and the characteristics of plant biology, which is (394.632, −38,026.268). Furthermore, the results support the viewpoint that abrupt changes to the climate determine the beginning and ending of plant growth, while the accumulative climate resources determine the other phenological dates. This study provides new ideas for the study of plant phenology.
Influence of Bio-Fertilizer Type and Amount Jointly on Microbial Community Composition, Crop Production and Soil Health
Authors: Li Lijun , Tong Lihong , Lv Yizhong
Published: June 2023

To ensure long-term food production in a changing world, it is critical to identify field management practices that increase crop yields and maintain soil health. Additionally, sustainable agriculture needs to provide experimental evidence to support the use of traditional agricultural practices. In this study, a 20-year investigation of the effects of different combinations of fertilizer types (control, chemical fertilizer, organic fertilizer, and bio-fertilizer) and fertilization amount (conventional dosages and high dosages) on wheat yield and soil health, including soil enzyme activity and microbial biomass, soil microbial diversity, and crop yield. Our long-term study indicates that the use of high dosages of bio-fertilizer can increase the fertilizer yield contribution rate by a minimum of 76.7% compared to other management combinations. Furthermore, this practice can improve soil biological quality, including the concentration of soil microbial biomass carbon, promote bacterial biodiversity, and enhance the soil health index. The effect of high dosages fertilizer was greater than that of conventional dosages fertilizer. The highest soil health index was 0.88 in high dosage bio-fertilizer, and the lowest was 0.12 in chemical fertilizer. In summary, these results suggested that the use of bio-fertilizer can help maintain soil health and crop productivity in the long term.
Ecotoxicological Evaluation of Earthworm (Eisenia fetida) Induced by Enrofloxacin and Di-(2-Ethylhexyl) Phthalate
Authors: Gao Jianpeng , Sun Qinghong , Liu Yuan-Liang , Xiong Wei-Jie , Zeng Si-Han , Zhang Yulong , Li Yongtao , Xu Hui-Juan
Published: June 2023

We found that the typical fluoroquinolone antibiotic enrofloxacin (ENR) and plasticizer di-(2-ethylhexyl) phthalate (DEHP) are often detected simultaneously and at high frequencies in the environment, but their combined exposure effects on soil animals are poorly understood. Here, oxidative stress, DNA damage and changes in digestibility of the earthworm were investigated to reflect the toxicological effects of single and combined exposure of DEHP and ENR on earthworms (Eisenia fetida). We found that the DEHP treatment group and the combined pollution treatment group showed significantly increased reactive oxygen species content of earthworms at 14 d and 28 d. ENR exposure alone had little effect on the antioxidant enzyme system, while DEHP and combined treatment showed a trend of inhibition and then activation. Addition of both pollutants caused a rise in the lipid peroxidation levels of earthworms. Malonaldehyde (MDA) was mainly scavenged by glutathione sulfur transferase (GST). ENR and DEHP caused more DNA damage to earthworm tissue than their combined pollution under the regulation of GST. Both single and combined pollution inhibited the digestive enzyme activity of earthworms, but the combined pollution had a stronger inhibitory effect. Cellulase, MDA and GST were the three most sensitive indicators on PCA. The toxicity was ENR + DEHP > DEHP > ENR according to the IBR index, and the combined toxicity showed a synergistic effect. The results showed that the combined pollution of phthalate esters and antibiotics in the actual environment was a significant ecological risk that deserves special attention.
Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton
Authors: Shen Chao , Cao Zheng , Xu Zhiyong , Ouyang Lejun , Zhang Xumin , Guo Zhishan , Yu Jieli , Chen Rong , Huang Wenxi
Published: June 2023

Introgression is an important driver of new genetic variation that increases species and genetic diversity. However, the relationship between introgression and geographic distribution of upland cotton is still unclear. Herein, we explored geographically comprehensive genomic data based on 890 upland cotton accessions to decipher the degree of introgression between different geographic distributions and its effect on selection and fiber quality. We found introgression intervals to exist across different geographic distributions. Introgression is affected by the similarity of the environment in which they live, and those with similar ecological environments tend to share the same introgression area. Introgression is affected by artificial selection. A genome-wide association study (GWAS) meta-analysis was performed with 6 fiber traits and identified 261 quantitative trait loci (QTLs). We found that 67 QTLs had introgression signals, and the genome interval size was 118.81 Mb, while 123 QTLs had selection signals, and the genomic interval was 28.38 Mb. These results provide insights into the population-scaled introgression landscape, suggesting that introgression contributed to the cotton genetic improvement, which provides a useful reference for studying intraspecific introgressions from different geographical distributions in other species.
Microbial Mechanisms of the Priming Effect over 12 Years of Different Amounts of Nitrogen Management
Authors: Yang Kepan , Peng Peng , Duan Fuyuan , Tang Hu , Wu Kaixuan , Wu Zhenying , Li Fan , Chen Yong , Zou Chaoqun , Liu Lei , Wang Jianwu
Published: June 2023

The return of crop residues and application of chemical nitrogen (N) can influence the soil organic carbon (SOC) turnover. However, the changes in the response of the priming effect (PE) to N management in real farming systems are not fully understood. In this research, we launched a 270-day in situ experiment in three N management plots (N0, no N; N1, 300 kg hm−2; and N2, 360 kg hm−2) on a long-term maize farm in order to examine the microbial mechanisms that trigger the PE in the presence of 13C-labeled maize residues. We found that N1 decreased SOC mineralization and the positive PE, but increased the residual C mineralization and microbial C use efficiency in comparison with N0 and N2, respectively. The positive PE can be explained by the microbial nutrient mining theory for N0 and by the microbial stoichiometry decomposition theory for N1 and N2, as reflected by the increased abundance of oligotrophic phyla in N0 and the increased abundance of copiotrophic phyla in N1 and N2. The microbial biomass C (MBC), residue-derived MBC, and the communities’ complexity were decreased in N2 due to the acidification of the soil environment, but N1 enhanced the MBC, residue-derived MBC, and bacterial communities’ complexity. The keystone bacterial taxa of Vicinamibacteraceae and Gemmatimonas preferred the recalcitrant C of SOC in N0 and N2, respectively. However, Acidibacter favored the labile residual C in N1. The keystone fungal taxa of Penicillium, Sarocladium, and Cladophialophora exhibited wide substrate-use abilities in N0, N1, and N2, respectively. Our research depicts the mechanisms of how microbial communities’ structures are reshaped through N management and emphasizes the functions of the keystone microbial taxa in C turnover and the PE in farming systems.
Genome-Wide Selection Signal Analysis to Investigate Wide Genomic Heredity Divergence between Eurasian Wild Boar and Domestic Pig
Authors: Wu Xinming , Zhang Haoyuan , Long Haoyuan , Zhang Dongjie , Yang Xiuqin , Liu Di , E Guangxin
Published: June 2023

As important livestock species, pigs provide essential meat resources for humans, so understanding the genetic evolution behind their domestic history could help with the genetic improvement of domestic pigs. This study aimed to investigate the evolution of convergence and divergence under selection in European and Asian domestic pigs by using public genome-wide data. A total of 164 and 108 candidate genes (CDGs) were obtained from the Asian group (wild boar vs. domestic pig) and the European group (wild boar vs. domestic pig), respectively, by taking the top 5% of intersected windows of a pairwise fixation index (FST) and a cross population extended haplotype homozygosity test (XPEHH). GO and KEGG annotated results indicated that most CDGs were related to reproduction and immunity in the Asian group. Conversely, rich CDGs were enriched in muscle development and digestion in the European group. Eight CDGs were subjected to parallel selection of Eurasian domestic pigs from local wild boars during domestication. These CDGs were mainly involved in olfactory transduction, metabolic pathways, and progesterone-mediated oocyte maturation. Moreover, 36 and 18 haplotypes of INPP5B and TRAK2 were identified in this study, respectively. In brief, this study did not only improve the understanding of the genetic evolution of domestication in pigs, but also provides valuable CDGs for future breeding and genetic improvement of pigs.
Effects of the Inclusion of Dietary Bitter Gourd (Momordica charantia) on the Performance and Carcass Characteristics of Pigs: Potential Application in the Feed Chain
Authors: Guan Xiaonan , Santos Regiane R. , Koopmans Sietse J. , Molist Francesc
Published: June 2023

The objective of this study was to determine the effect of bitter gourd (BG) leftovers (stems and leaves) as an alternative dietary ingredient on pig performance, carcass characteristics, serum parameters (urea, insulin, and leptin levels), and faecal consistency. Healthy Tempo × Great Yorkshire and Landrace pigs (N = 240; 120 gilts and 120 boars) weighing 25.8 kg (9–10 weeks of age) were randomly assigned to three treatments (eight pens per treatment; each pen with five gilts and five boars). The three treatments consisted of a non-supplemented commercial diet (control; CON) and a CON diet supplemented with 6.5 g/kg BG (BG1) or 13 g/kg BG (BG2). Pigs were fed the experimental diets until slaughter (120 kg body weight; BW). Feed intake was recorded daily and calculated for each experimental phase (i.e., days 0–36, days 36–66, days 66–98, and the overall experimental period). Average daily feed intake (ADFI), average daily gain (ADG), and feed conversion ratio (FCR) were calculated. The frequencies of visiting the feed station and of feeding were recorded daily. Faecal scores (FS) for consistency were measured per pen twice weekly. On the day of slaughter, two pigs per pen (one male and one female) were randomly selected for the measurement of muscle thickness and blood collection. At the slaughterhouse, carcass weight, dressing percentage, back fat thickness, muscle depth, and lean meat percentage were recorded. Data were analysed using ANOVA, with the pen as the experimental unit. Diets BG1 or BG2 did not affect the performance of the pigs, except for a significant decrease in the ADG of the pigs fed the BG2 diet in the feeding period of 50–80 kg. However, no differences in performance were observed in the overall experimental period. Faecal scores, carcass quality, and serum levels of urea, insulin, and leptin were also not affected by the diet. In summary, leftovers (stems and leaves) of BG can be successfully added to the diet of growing-finishing pigs without interfering with performance and carcass characteristics.
Impact of Solvent Emissions on Reactive Aromatics and Ozone in the Great Lakes Region
Authors: Stroud Craig A. , Zhang Junhua , Boutzis Elisa I. , Zhang Tianchu , Mashayekhi Rabab , Nikiema Oumarou , Majdzadeh Mahtab , Wren Sumi N. , Xu Xiaohong , Su Yushan
Published: June 2023

While transportation emissions have declined over the past several decades, volatile organic compound (VOC) emissions from solvent use applications have increased as urban areas expand. In this work, the Canadian air quality model (GEM-MACH-TEB) is used to assess the importance of solvent emissions during the Michigan Ontario Ozone Source Experiment (MOOSE). Model predictions are compared to ozone and total mono-substituted aromatics (TOLU) observations collected in Windsor, Ontario. For summer 2018, model estimates of TOLU from solvent emissions are smaller (30% for an 8 h daytime average) in Windsor than estimates from positive matrix factorization (44% for a 24 h average). The use of updated U.S. solvent emissions from the EPA’s VCPy (Volatile Chemical Product framework) for summer 2021 simulations increases the solvent use source contribution over Detroit/Windsor (30–50% for an 8 h daytime average). This also provides a more uniform spatial distribution across the U.S./Canada border (30–50% for an 8 h daytime average). Long-chain alkanes are the dominant speciation in the model’s air pollutant emission inventory and in the observation-derived solvent use factor. Summertime 8 h daytime ozone decreased by 0.4% over Windsor for a 10% solvent use VOC emission reduction scenario. A 10% mobile NOx emission reduction scenario resulted in a 0.6% O3 decrease over Windsor and more widespread changes over the study region.
Is There a Relationship between Increased Land-Use Intensity and the Rise in PM2.5 Pollution Levels in the Yangtze River Economic Belt, China (2000–2021)?
Authors: He Jia , Jing Yuhan , Ran Duan
Published: June 2023

With the rapid urbanization and industrialization of the past few decades, environmental issues have become increasingly prominent, and air pollution in the form of PM2.5 has become a major concern in China. The Chinese government has recognized the severity of these environmental challenges and has placed great emphasis on protecting the environment while promoting economic growth. This study utilizes remote sensing technology to analyze the spatio-temporal evolution characteristics of the decoupling between land-use intensity and PM2.5 in the Yangtze River Economic Belt (YREB) using 2000–2021 series of PM2.5 and land-use-change data, with the Mean Center Change analysis and the Tapio Decoupling Model. This study attempts to analyze the causes of change from the perspectives of economic development stage and policy execution. The study found that the average PM2.5 level decreased by 11.77 μg/m3 during this period, with high levels concentrated in urban areas and low levels found in less developed regions. The central trajectory of the land-use intensity shifted southeast, indicating a consistent trend in urbanization and industrialization in that direction. Meanwhile, the average land-use intensity value increased by 0.19, with the highest values concentrated in urban areas. A total of 71.12% of the regions in the YREB exhibited strong negative decoupling or negative decoupling between land-use intensity and PM2.5 levels, suggesting rapid urbanization and industrialization with a decrease in PM2.5 levels. These findings provide insight into the dynamic relationship between economic development, urbanization, and PM2.5 in China’s Yangtze River Economic Belt.
Realizable Eddy Damped Markovian Anisotropic Closure for Turbulence and Rossby Wave Interactions
Authors: Frederiksen Jorgen S. , O’Kane Terence J.
Published: June 2023

A realizable Eddy Damped Markovian Anisotropic Closure (EDMAC) is presented for the interaction of two-dimensional turbulence and transient waves such as Rossby waves. The structure of the EDMAC ensures that it is as computationally efficient as the eddy damped quasi normal Markovian (EDQNM) closure but, unlike the EDQNM, is guaranteed to be realizable in the presence of transient waves. Jack Herring’s important contributions to laying the foundations of statistical dynamical closure theories of fluid turbulence are briefly reviewed. The topics covered include equilibrium statistical mechanics, Eulerian and quasi-Lagrangian statistical dynamical closure theories, and the statistical dynamics of interactions of turbulence with topography. The impact of Herring’s work is described and placed in the context of related developments. Some of the further works that have built upon Herring’s foundations are discussed. The relationships between theoretical approaches employed in statistical classical and quantum field theories, and their overlap, are outlined. The seminal advances made by the pioneers in strong interaction fluid turbulence theory are put in perspective by comparing related developments in strong interaction quantum field theory.
Optimization of Probability Density Functions Applicable for Hourly Rainfall
Authors: Shen Tieyuan , Xiang Yiheng
Published: June 2023

In order to improve the calculation accuracy of the rainfall probability distribution in related applications, this study aimed to select a theoretical function from applicable functions for three classes of the class-conditional probability density function (CCPD) of hourly rainfall series. The three applicable functions are generalized gamma distribution (GΓD), generalized normal distribution (GND), and Weibull distribution. For the reason that it is hard to distinguish the advantages and disadvantages of the three functions by the probability plot and error analysis of fitted values, optimization criteria are proposed, which are the Bayesian information criterion (BIC) and the estimated accuracy of both the annual average rainfall (AAR) and the annual average continuous rainfall (AACR). The results show that by using three applicable functions in 15 regions, the relative fitting deviations for CCPD1 were less than 2.3% and less than 3.3% for ln(CCPD1). The goodness-of-fit values were all above 0.98 for CCPD1 and greater than 0.94 for ln(CCPD1). The fitting effect of the Weibull distribution was relatively poor from the perspective of the probability plot and error analysis of the fitted values, while the three applicable functions could be used to fit CCPD. GΓD had the highest fitting accuracy for the three classes of CCPDs, but there is concern about overfitting due to its broad spectrum. GND, with fewer parameters, had comparable performance to GΓD, and when fitting CCPD1 using GND, the mean relative fitting deviation was 0.6%, the coefficient of determination was 0.999, and for ln(CCPD1), they were 1.45% and 0.989. At the same time, GND performed well in estimating the AARs, with an 8.6% relative error and a 0.92 correlation coefficient in the fifteen regions, indicating that GND can well reflect the spatial variation characteristics of the AAR. Moreover, the function form of GND is simple. GND follows the parsimonious principle, and it is suitable for the whole domain. Therefore, GND is recommended as the theoretical density function based on the optimization criteria. The genetic algorithm was adopted to obtain the approximate solution of the parameters through optimization, which can simplify the derivation and calculation steps. The multiplicative and additive fitting errors were both used in the objective functions, which gave comprehensive consideration to both ends of the fitting curve.
Destination-Centric Wine Exports: Offering Design Concepts and Sustainability
Authors: Dressler Marc
Published: June 2023

With more than 40% of produced wine crossing borders, wine represents a truly global beverage. Wine export serves as a sales lever, especially for producers where home wine consumption diminishes but the global wine business is highly competitive. The literature tells that in competitive market innovation, customer centrism, and increasing sustainability are key. Wine export offerings need to meet the customer’s desires in the targeted foreign destinations. German wine providers have to catch-up in regard to destination-specific preferences so they can offer adaptation or suffer a competitive disadvantage in sustainability positioning. The main aims of this study were to validate the importance of sustainability in wine import and to explore destination-specific preferences and potential sustainable offer designs on the basis of new, fungus-resistant grape (FRG) wines by an explorative, qualitative approach. Evaluating the key export markets for German wine, the study delved into a performance assessment on how German providers who are marked by small-scale structures and fragmentation are positioned in regard to the primary purchasing factors in global wine competition, in regard to sustainability, and how to overcome performance gaps by tailoring destination-specific export offerings. In order to close a lack of research on destination-oriented sustainable wine offer design and to provide orientation for practitioners, an empirical study tested wine export offerings in the form of four concepts with a strong emphasis on sustainability and FRGs. More than 100 wine experts in the five key countries for German wine exports served to explore country preferences for offer elements and perceived performance of German wine producers. The interviews revealed (a) that sustainability is a must for wine export sales; (b) that German wine producers limp in sustainability reputation; (c) the existence of country-specific preferences allowing exporters to tailor their offerings to the specific needs in their ambition to increase export performance; (d) that German wine producers can potentially claim sustainability on the basis of a fitting concept; (e) FRGs are potentially suited to reposition innovatively and sustainably; (f) a playful exploitation of stereotypes for German suppliers is risky; (g) that an offer concept on sustainability and “made in Germany” characteristics (design, technology, and reliability) is highly regarded potentially allowing to escape price cutting in their key export destinations.
A Pilot Study of Short-Course Oral Vitamin A and Aerosolised Diffuser Olfactory Training for the Treatment of Smell Loss in Long COVID
Authors: Chung Tom Wai-Hin , Zhang Hui , Wong Fergus Kai-Chuen , Sridhar Siddharth , Lee Tatia Mei-Chun , Leung Gilberto Ka-Kit , Chan Koon-Ho , Lau Kui-Kai , Tam Anthony Raymond , Ho Deborah Tip-Yin , Cheng Vincent Chi-Chung , Yuen Kwok-Yung , Hung Ivan Fan-Ngai , Mak Henry Ka-Fung
Published: June 2023

Background: Olfactory dysfunction (OD) is a common neurosensory manifestation in long COVID. An effective and safe treatment against COVID-19-related OD is needed. Methods: This pilot trial recruited long COVID patients with persistent OD. Participants were randomly assigned to receive short-course (14 days) oral vitamin A (VitA; 25,000 IU per day) and aerosolised diffuser olfactory training (OT) thrice daily (combination), OT alone (standard care), or observation (control) for 4 weeks. The primary outcome was differences in olfactory function by butanol threshold tests (BTT) between baseline and end-of-treatment. Secondary outcomes included smell identification tests (SIT), structural MRI brain, and serial seed-based functional connectivity (FC) analyses in the olfactory cortical network by resting-state functional MRI (rs–fMRI). Results: A total of 24 participants were randomly assigned to receive either combination treatment (n = 10), standard care (n = 9), or control (n = 5). Median OD duration was 157 days (IQR 127–175). Mean baseline BTT score was 2.3 (SD 1.1). At end-of-treatment, mean BTT scores were significantly higher for the combination group than control (p < 0.001, MD = 4.4, 95% CI 1.7 to 7.2) and standard care (p = 0.009) groups. Interval SIT scores increased significantly (p = 0.009) in the combination group. rs–fMRI showed significantly higher FC in the combination group when compared to other groups. At end-of-treatment, positive correlations were found in the increased FC at left inferior frontal gyrus and clinically significant improvements in measured BTT (r = 0.858, p < 0.001) and SIT (r = 0.548, p = 0.042) scores for the combination group. Conclusions: Short-course oral VitA and aerosolised diffuser OT was effective as a combination treatment for persistent OD in long COVID.
Identification of Cuproptosis Clusters and Integrative Analyses in Parkinson’s Disease
Authors: Zhang Moxuan , Meng Wenjia , Liu Chong , Wang Huizhi , Li Renpeng , Wang Qiao , Gao Yuan , Zhou Siyu , Du Tingting , Yuan Tianshuo , Shi Lin , Han Chunlei , Meng Fangang
Published: June 2023

Parkinson’s disease (PD) is the second most common neurodegenerative disease; it mainly occurs in the elderly population. Cuproptosis is a newly discovered form of regulated cell death involved in the progression of various diseases. Combining multiple GEO datasets, we analyzed the expression profile and immunity of cuproptosis-related genes (CRGs) in PD. Dysregulated CRGs and differential immune responses were identified between PD and non-PD substantia nigra. Two CRG clusters were defined in PD. Immune analysis suggested that CRG cluster 1 was characterized by a high immune response. The enrichment analysis showed that CRG cluster 1 was significantly enriched in immune activation pathways, such as the Notch pathway and the JAK-STAT pathway. KIAA0319, AGTR1, and SLC18A2 were selected as core genes based on the LASSO analysis. We built a nomogram that can predict the occurrence of PD based on the core genes. Further analysis found that the core genes were significantly correlated with tyrosine hydroxylase activity. This study systematically evaluated the relationship between cuproptosis and PD and established a predictive model for assessing the risk of cuproptosis subtypes and the outcome of PD patients. This study provides a new understanding of PD-related molecular mechanisms and provides new insights into the treatment of PD.
Cerebral Cortex Activation and Gait Performance between Healthy and Prefrail Older Adults during Cognitive and Walking Tasks
Authors: Fan Weichao , Xiao Chongwu , He Longlong , Chen Ling , Qu Hang , Yao Qiuru , Li Gege , Hu Jinjing , Zou Jihua , Zeng Qing , Huang Guozhi
Published: June 2023

Pre-frailty is a transitional stage between health and frailty. Previous studies have demonstrated that individuals with pre-frailty experience declines in cognitive and gait performances compared with healthy individuals. However, the basic neural mechanism underlying this needs to be clarified. In this cross-sectional study, twenty-one healthy older adults and fifteen with pre-frailty underwent three conditions, including a single cognitive task (SC), single walking task (SW), and dual-task (DT), while cortical hemodynamic reactions were measured using functional near-infrared spectroscopy (fNIRS). The prefrail group (PG) showed a significantly lower activation of the left dorsolateral prefrontal cortex (L-DLPFC) than the healthy group (HG) when performing SC (p < 0.05). The PG showed a significantly lower Timed Up and Go test and step speed than the HG during SW (p < 0.05). The coefficient of variation (CV) of the step length of the PG was significantly higher than that of the HG when performing DT (p < 0.05). No significant correlation in cerebral cortex activation and gait parameters in the HG when performing SW and DT was noted (p > 0.05). Participants of the PG with a higher oxygenated area in the left anterior prefrontal cortex (L-APFC) had a lower step frequency during SW (r = −0.533, p = 0.041), and so did the following indicators of the PG during DT: L-APFC and step speed (r = −0.557, p = 0.031); right anterior prefrontal cortex and step speed (r = −0.610, p = 0.016); left motor cortex and step speed (r = −0.674, p = 0.006); step frequency (r = −0.656, p = 0.008); and step length (r = −0.535, p = 0.040). The negative correlations between the cerebral cortex and gait parameters of the PG indicated a neural compensatory effect of pre-frailty. Therefore, older adults with pre-frailty promote prefrontal activation to compensate for the impaired sensorimotor systems.
Analysis of Psychological and Social Functioning in Undergraduate Students with a Specific Learning Disorder (SLD)
Authors: Bonuomo Marika , Marini Mara , Vegni Nicoletta , Melogno Sergio , Torregiani Giulia , Livi Stefano , Di Filippo Gloria
Published: June 2023

It is considered to be particularly interesting to enrich the scientific overview investigating the comorbidities of specific learning disorders (SLDs) in young adults. Therefore, this study aims to investigate the psychosocial and relational profiles associated with the presence of learning difficulties in a population of university students. The hypothesis is that young adults with SLDs have lower psychological and socio-relational functioning than their typical-development peers. We further hypothesized that the socio-relational difficulties of students with SLDs could be explained not only by referring to the presence of a learning disorder, but also by considering some variables that may follow the experience of students with SLDs. The results highlighted that students with SLDs, compared to their typical-development peers, have low self-efficacy, high academic anxiety scores, emotional problems, and issues with peers. We finally suggest considering these aspects as early as the diagnostic process to facilitate an effective treatment plan for learning disorders to prevent, in terms of developmental trajectory, the manifestation of these aspects in adulthood.
Relations between Prosociality and Psychological Maladjustment in Chinese Elementary and Secondary School Students: Mediating Roles of Peer Preference and Self-Perceived Social Competence
Authors: Li Mingxin , Jin Guomin , Ren Tongyan , Haidabieke Aersheng , Chen Lingjun , Ding Xuechen
Published: June 2023

Despite empirical findings that prosociality can prevent elementary and secondary school students from developing psychological maladjustment, little is known about the underlying mechanisms. The goal of the present study was to examine the mediating effects of peer preference and self-perceived social competence on the associations between prosociality and psychological maladjustment (i.e., depressive symptoms and loneliness). Participants were 951 students (Mage = 11 years, 442 girls) in Grades 3~7 from Shanghai, China. They completed peer nominations of prosociality and peer preference and self-report measures of self-perceived social competence, depressive symptoms, and loneliness. Multiple mediation analyses revealed that: (a) both peer preference and self-perceived social competence mediated the relations between prosociality and psychological maladjustment, and (b) a serial indirect pathway (i.e., prosociality → peer preference → self-perceived social competence → psychological maladjustment) emerged when controlling for age group and gender. These findings point to potential targets in the prevention and intervention of Chinese students’ internalization of problems.
Ultraviolet Radiation Transmission in Buildings’ Fenestration: Part I, Detection Methods and Approaches Using Spectrophotometer and Radiometer
Authors: Onatayo Damilola Adeniyi , Srinivasan Ravi Shankar , Shah Bipin
Published: June 2023

Fenestration, comprising windows and other openings in a building, influences occupant health and well-being while also enhancing energy efficiency through optimized design and placement. Selecting glazing materials that block or filter harmful UV radiation is crucial, as is having reliable methods to measure their UV transmission. This research paper, which comprises Part I of II, conducts an exhaustive analysis of the predominant methodologies and associated challenges inherent in assessing ultraviolet (UV) radiation transmission and deterioration status in fenestration, with particular emphasis on the usage of spectrophotometers and radiometers. It details the economic and operational challenges associated with these instruments and the limitations they pose in terms of sample size and the impact of glazing material degradation over time. Additionally, the paper provides a comparative analysis of UV radiation transmission characteristics across different glazing configurations such as green or yellow patterned glass, laminate glass, clear glass treated with UV protection film, and float glass. The review identifies laminated glass material as offering the best protection. Although spectrophotometers and radiometers offer high levels of accuracy in transmission data detection, their adoption is hindered by considerable financial and operational challenges. The paper underscores the need for developing alternative methodologies that are economically viable, operationally less complex, and are capable of overcoming the limitations of the traditional methods of detection, which will facilitate optimal fenestration configurations for UV protection and energy efficiency in buildings. The proposed Part II paper will explore UV imaging, image processing, and computer vision techniques as potential alternative approaches.
Chemical Treatments for Coffee Husks: Application in Mortar for Coating and Laying Blocks
Authors: Pinto Marina Souza , Marvila Markssuel Teixeira , de Azevedo Afonso Rangel Garcez
Published: June 2023

(1) The use of agro-industrial wastes, such as coffee husks, in cementitious materials is a viable way to achieve the sustainable development of new construction materials. Traditionally, these wastes are applied after calcination, spending energy and financial resources. Furthermore, the calcination of these wastes contributes to a more sustainable environment. This is interesting because calcination treatments are usually more expensive than those using chemical treatments. Thus, the objective of this research is to evaluate the possibility of using coffee husks with the use of chemical treatments with sodium and potassium hydroxide in mortars for coating and laying blocks. (2) The methodology of this article consists of producing test specimens of mortar for coating and laying blocks in the composition 1:1:6:1.55 (cement: hydrated lime: sand: water), using coffee husks that will be incorporated in quantities of 2.5% in relation to the mass of the cement in its natural state and after treatment with sodium and potassium hydroxide. Compositions containing calcined coffee husks are evaluated for comparison purposes. The evaluated parameters were the mass density in the hardened state, water absorption by immersion and compressive strength. To complement these analyses, XRD, SEM and calorimetry tests were executed to compare the proposed treatments. (3) The results indicate that the use of treatments with NaOH and KOH allows for the use of coffee husks in mortars, since the parameters obtained were compatible with this type of application. The use of natural coffee husks is not possible due to their low compressive strength and high water absorption, caused by porosity. The use of alkaline treatments, especially with KOH, does not affect the hydration of the cement, allowing for the obtention of values statistically equivalent to the reference composition. The results with calcined coffee husks are even more promising due to the high content of amorphous potassium, which promotes the conversion of ettringite into hydrous calcium aluminate monosulfate. (4) It is concluded that, for the application of coffee husks in mortars for coating and laying blocks, the chemical treatment with KOH meets the necessary parameters—for example, a compressive strength greater than 2 MPa, making sustainable building materials and promoting the use of agro-industrial waste in building materials.
Human Preferences for the Visual Appearance of Desks: Examining the Role of Wooden Materials and Desk Designs
Authors: Lipovac Dean , Burnard Michael D.
Published: June 2023

Visually pleasing materials and furnishings may be an important component of pleasant, restorative indoor spaces, where people can rest, relax, and recover from stress. We conducted two studies to examine human preferences for different wooden desk materials and designs. In Study 1, 77 participants evaluated the visual appearance of 20 wooden materials and 18 desk designs, in which desk elements and their arrangements were systematically varied. The three highest rated wooden materials and desk designs from Study 1 were combined in 18 new desks evaluated by 80 participants in terms of visual appearance in Study 2, where we systematically varied the type of material, amount of material, and desk design. The results show that preference for different materials and desks varies greatly from person to person, but several evaluated items are on average preferred to others. Study 1 shows that certain materials, desk elements, and the arrangements of those elements received higher preference ratings than others. Study 2 indicates that the type of material, amount of material, and desk design all play a significant role in human preference for the visual appearance of desks. Researchers and designers can build on these findings to create aesthetically appealing indoor environments that have the potential to positively impact human wellbeing.
LSTM Deep Learning Models for Virtual Sensing of Indoor Air Pollutants: A Feasible Alternative to Physical Sensors
Authors: Gabriel Martin , Auer Thomas
Published: June 2023

Monitoring individual exposure to indoor air pollutants is crucial for human health and well-being. Due to the high spatiotemporal variations of indoor air pollutants, ubiquitous sensing is essential. However, the cost and maintenance associated with physical sensors make this currently infeasible. Consequently, this study investigates the feasibility of virtually sensing indoor air pollutants, such as particulate matter, volatile organic compounds (VOCs), and CO2, using a long short-term memory (LSTM) deep learning model. Several years of accumulated measurement data were employed to train the model, which predicts indoor air pollutant concentrations based on Building Management System (BMS) data (e.g., temperature, humidity, illumination, noise, motion, and window state) as well as meteorological and outdoor pollution data. A cross-validation scheme and hyperparameter optimization were utilized to determine the best model parameters and evaluate its performance using common evaluation metrics (R2, mean absolute error (MAE), root mean square error (RMSE)). The results demonstrate that the LSTM model can effectively replace physical indoor air pollutant sensors in the examined room, with evaluation metrics indicating a strong correlation in the testing set (MAE; CO2: 15.4 ppm, PM2.5: 0.3 μg/m3, VOC: 20.1 IAQI; R2; CO2: 0.47, PM2.5: 0.88, VOC:0.87). Additionally, the transferability of the model to other rooms was tested, with good results for CO2 and mixed results for VOC and particulate matter (MAE; CO2: 21.9 ppm, PM2.5: 0.3 μg/m3, VOC: 52.7 IAQI; R2; CO2: 0.45, PM2.5: 0.09, VOC:0.13). Despite these mixed results, they hint at the potential for a more broadly applicable approach to virtual sensing of indoor air pollutants, given the incorporation of more diverse datasets, thereby offering the potential for real-time occupant exposure monitoring and enhanced building operations.
Role of miRNAs in Rheumatoid Arthritis Therapy
Authors: Zhang Yiping , Yang Meiwen , Xie Hongyan , Hong Fenfang , Yang Shulong
Published: June 2023

Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease characterized by autoimmunity, synovial inflammation and joint destruction. Pannus formation in the synovial cavity can cause irreversible damage to the joint and cartilage and eventually permanent disability. Current conventional treatments for RA have limitations regarding efficacy, safety and cost. microRNA (miRNA) is a type of non-coding RNA (ncRNA) that regulates gene expression at the post-transcriptional level. The dysregulation of miRNA has been observed in RA patients and implicated in the pathogenesis of RA. miRNAs have emerged as potential biomarkers or therapeutic agents. In this review, we explore the role of miRNAs in various aspects of RA pathophysiology, including immune cell imbalance, the proliferation and invasion of fibroblast-like synovial (FLS) cell, the dysregulation of inflammatory signaling and disturbance in angiogenesis. We delve into the regulatory effects of miRNAs on Treg/Th17 and M1/M2 polarization, the activation of the NF-κB/NLRP3 signaling pathway, neovascular formation, energy metabolism induced by FLS-cell-induced energy metabolism, apoptosis, osteogenesis and mobility. These findings shed light on the potential applications of miRNAs as diagnostic or therapeutic biomarkers for RA management. Furthermore, there are some strategies to regulate miRNA expression levels by utilizing miRNA mimics or exosomes and to hinder miRNA activity via competitive endogenous RNA (ceRNA) network-based antagonists. We conclude that miRNAs offer a promising avenue for RA therapy with unlimited potential.
The Association of Prenatal Antibiotic Use with Attention Deficit and Autism Spectrum Disorders: A Nationwide Cohort Study
Authors: Lin Yu-Chun , Lin Ching-Heng , Lin Ming-Chih
Published: June 2023

(1) Background: Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are common cognitive and behavioral disorders. Antibiotics are widely used in pregnant women and their newborns. The objective of this study was to examine the potential association between prenatal exposure to antibiotics and the risk of ADHD and ASD in childhood from a nationwide perspective. (2) Methods: The Taiwan National Health Insurance Research Database (NHIRD) was used as the primary data source. This nationwide cohort study included only first-time pregnancies. A total of 906,942 infants were enrolled. All infants were followed up for at least 6 years. The Cox regression model was applied for covariate control. (3) Results: Prenatal exposure to antibiotics was found to significantly increase the cumulative incidence of ADHD while having only a borderline effect on the cumulative incidence of ASD. Exposure to antibiotics during any of the three different gestational age ranges significantly increased the cumulative risk. However, only exposure after 34 weeks of gestation had a significant impact on the occurrence of ASD. The study also revealed a dose-dependent effect on the occurrence of ADHD but no effect on the occurrence of ASD. (4) Conclusions: This study suggests that prenatal exposure to antibiotics may increase the risk of developing ADHD and ASD later in life.
Comorbidities of Rural Children and Adolescents with Migraine and without Migraine
Authors: Walter Suzy Mascaro , Dai Zheng , Wang Kesheng
Published: June 2023

(1) Background: Migraine is associated with comorbidities that are common in the general rural pediatric population. The purpose of this study is to evaluate the differences in the occurrence of comorbidities between rural children and adolescents with and without migraine. (2) Methods: A cross-sectional, secondary data analysis using electronic medical records of 1296 patients (53.8% females, aged 12.4 ± 3.2) was completed. Mann–Whitney U test was used to detect the difference in the number of comorbidities between the two groups. Chi-square test was used to identify the differences in the number of comorbidities, which were classified as low (0–1 comorbidities), medium (2–3 comorbidities), and high (4 or plus comorbidities) degree of comorbidities. (3) Results: Significant differences were found between those children and adolescents with migraine vs. those without for depression (p < 0.0001), anxiety (p < 0.0001), and Ehlers–Danlos Syndrome (EDS; p = 0.0309). A marginally significant difference was found between those children and adolescents with migraine (47.2%; n = 306) vs. those without (42.1%; n = 273) for unhealthy weight (p = 0.0652). Approximately 40% of the migraineurs had 2–3 comorbidities, whereas 32% of the non-migraineurs had 2–3 comorbidities (p = 0.0003). (4) Conclusions: Findings demonstrate the importance of identifying comorbidities associated with rural pediatric migraine in order to develop effective treatment strategies that optimize patient outcomes.
Improving Hepatitis B Screening Prior to Rituximab: A Quality Improvement Project
Authors: Villacis-Nunez D. Sofia , Orenstein Evan , Selvaggio Phyllis , Rouster-Stevens Kelly , Wang Chia-shi , Thakral Amit
Published: June 2023

Rituximab, used in the treatment of some rheumatic and kidney diseases, can lead to hepatitis B virus (HBV) reactivation; HBV screening is recommended for those starting this medication. We aimed to improve by 50% the proportion of patients undergoing HBV screening by implementing multimodal interventions to support clinicians in this evidence-based practice. We conducted a quality improvement project from November 2020 to June 2022 at a tertiary care pediatric hospital system, including patients with rheumatic and/or kidney diseases starting rituximab. Multimodal interventions targeting clinicians included electronic health tools (dot phrase, display of screening recommendations and screening results in rituximab order sets/therapy plans), educational meetings, and e-mail/paper reminders. The primary outcome was the proportion of patients with complete HBV screening, while the secondary outcome was utilization of each laboratory component, tracked using statistical process control charts. Pre- and post-intervention data were compared using Fisher’s test. One hundred eighty-two patients who had been prescribed rituximab were included, of which 98 (54%) were post-intervention. The proportions of patients undergoing complete HBV screening (6% vs. 44%; p < 0.001), HBsAg collection (60% vs. 79%; p = 0.006), anti-HBsAb collection (14% vs. 54%; p < 0.001), and total anti-HBcAb collection (8% vs. 52%; p < 0.001) were significantly higher in the post-intervention period. Improvement was sustained over 18 months, with shifts and/or data points above the control limits in all measures. Forty-five patients were HBV-non-immune. In this study, multimodal interventions including electronic health tools and education of the provider significantly increased the proportion of patients screened for HBV prior to rituximab and identified immunization opportunities.
Unveiling the Hidden Connection between Allergies and Sleep-Disordered Breathing in Children and Its Impact on Health
Authors: Zaffanello Marco , Piacentini Giorgio
Published: June 2023

Sleep-disordered breathing (SDB) and allergies in children are increasingly relevant health issues that require attention [...]