bluuebunny/crossref_metadata_2025 huggingface dataset:
Post-weaning Social Isolated Flinders Sensitive Line Rats Display Bio-Behavioural Manifestations Resistant to Fluoxetine: A Model of Treatment-Resistant Depression
Authors: Mncube Khulekani , Möller Marisa , Harvey Brian H.
Published: November 2021

Treatment-resistant depression (TRD) complicates the management of major depression (MD). The underlying biology of TRD involves interplay between genetic propensity and chronic and/or early life adversity. By combining a genetic animal model of MD and post-weaning social isolation rearing (SIR), we sought to produce an animal that displays more severe depressive- and social anxiety-like manifestations resistant to standard antidepressant treatment. Flinders Sensitive Line (FSL) pups were social or isolation reared from weaning [postnatal day (PND) 21], receiving fluoxetine (FLX) from PND 63 (10 mg/kg × 14 days), and compared to Sprague Dawley (SD) controls. Depressive-, anxiety-like, and social behaviour were assessed from PND 72 in the forced swim test (FST) and social interaction test (SIT). Post-mortem cortico-hippocampal norepinephrine (NE), serotonin (5-HT), and dopamine (DA), as well as plasma interleukin 6 (IL-6), tumour necrosis factor alpha (TNF-α), corticosterone (CORT), and dopamine-beta-hydroxylase (DBH) levels were assayed. FSL rats displayed significant cortico-hippocampal monoamine disturbances, and depressive- and social anxiety-like behaviour, the latter two reversed by FLX. SIR-exposed FSL rats exhibited significant immobility in the FST and social impairment which were, respectively, worsened by or resistant to FLX. In SIR-exposed FSL rats, FLX significantly raised depleted NE and 5-HT, significantly decreased DBH and caused a large effect size increase in DA and decrease in CORT and TNF-α. Concluding, SIR-exposed FSL rats display depressive- and social anxiety-like symptoms that are resistant to, or worsened by, FLX, with reduced plasma DBH and suppressed cortico-hippocampal 5-HT, NE and DA, all variably altered by FLX. Exposure of a genetic animal model of MD to post-weaning SIR results in a more intractable depressive-like phenotype as well as changes in TRD-related biomarkers, that are resistant to traditional antidepressant treatment. Given the relative absence of validated animal models of TRD, these findings are especially promising and warrant study, especially further predictive validation.
Analysis of the Mediating Effect of Risk Perception on the Relationship Between Time Perception and Mental Health of College Students During the COVID-19 Epidemic
Authors: Cao Hua , Zhang Hui Wen , Yang Ling , Li Ling , Wang Jun Zhi , Zada Bakht , Li Min Xiao , Liu Wei Jian , Su Ting Hong , Zhao Yu
Published: November 2021

Background: COVID-19 has had a wide impact on the mental health of college students. This study aims to explore the relationship between time perception, risk perception, and the mental health of college students during COVID-19 through a questionnaire survey.

Subjects: One thousand two hundred and eighteen college students, 449 male and 769 female, who studied online during the COVID-19 epidemic were selected.

Methods: Time Perception Scale, Risk Perception Scale, and SCL-90 were used to investigate the relationship using correlation analysis.

Results: During the COVID-19 period, mental health problems of college students were widespread, and 65.93% of college students reported moderate to severe mental health problems. The correlation analysis showed that risk perception, time perception, and the mental health of college students were significantly related. Risk perception played a partial mediating role between present enjoyment and mental health, and risk perception played a partial mediating role between future time perception and mental health.

Conclusion: In the case of sudden public crises, we should pay close attention to the mental health of college students, adjust their attitude toward the present and the future, and pay attention to their perception of risk so as to improve their mental health level under crisis.
Relationship of Problematic Smartphone Use, Sleep Quality, and Daytime Fatigue Among Quarantined Medical Students During the COVID-19 Pandemic
Authors: Zhang Chi , Zeng Ping , Tan Joshua , Sun Siwei , Zhao Minghao , Cui Ju , Zhang Guifang , Jia Jinzhong , Liu Deping
Published: November 2021

Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.

Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 ± 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.

Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35–0.61, PS < 0.001). Subjects with PSU were more likely to report sleep disturbance (β = 1.07, P < 0.001, OR = 2.91, 95%CI = 2.17–3.91), physical fatigue (β = 1.16, P < 0.001, OR = 3.18, 95%CI = 2.45–4.15), and mental fatigue (β = 0.88, P < 0.001, OR = 2.42, 95%CI = 1.86–3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.

Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.
Animal Welfare and Farmers' Satisfaction in Small-Scale Dairy Farms in the Eastern Alps: A “One Welfare” Approach
Authors: Spigarelli Chiara , Berton Marco , Corazzin Mirco , Gallo Luigi , Pinterits Sabine , Ramanzin Maurizio , Ressi Wolfgang , Sturaro Enrico , Zuliani Anna , Bovolenta Stefano
Published: November 2021

The multidimensional concept of animal welfare includes physical health, good emotional state, and appropriate behavior of the animals. The most recent methods for its assessment are inspired by the Welfare Quality, a project compiling animal-, resource-, and management-based measures. Recently, animal welfare assessment has also considered the human factor in a so-called “One Welfare” approach. The One Welfare framework highlights the interconnections between animal welfare, human well-being, and the environment. The concept seems to fit particularly well to mountain areas where the relationship between human, animals, and the environment is stronger. In such disadvantaged areas, farmers' well-being plays a key role in maintaining livestock farming profitably and sustainably. This study aims to investigate the relationship between farmers' satisfaction, animal welfare outcomes, and overall farm performance in 69 small-scale dairy farms in the Eastern Alps. Animal welfare assessment consisted of animal-based measures and was performed using the methodology proposed by the European Food Safety Authority for this type of farm. Moreover, the farmers were interviewed to retrieve data on farm characteristics and on their level of satisfaction toward workload, land organization, relationship with the agricultural/non-agricultural community, and the future of local agriculture. The results show that good animal welfare can be obtained in a mountain farming system. Clinical indicators show a low prevalence of diseases and of very lean cows as opposed to integument alterations. The workload is not perceived as a problem in traditional farms (i.e., tie-stall and with no participation in quality-certification schemes). Animal welfare is higher in those farms where farmers have a positive engagement with both the agricultural and non-agricultural community and where farmers are satisfied with their land organization. A One Welfare approach could be applied on a larger scale to fully understand the links between animal and human well-being in mountain areas.
A Scoping Review of Empirical Evidence on (Digital) Public Services Co-Creation
Authors: Rodriguez Müller A. Paula , Casiano Flores Cesar , Albrecht Valerie , Steen Trui , Crompvoets Joep
Published: November 2021

The public sector is facing significant challenges regarding public services provision, including declination of users’ trust and limited resources. An alternative approach to traditional public service provision with the potential to address these challenges is the co-creation of public services. Co-creation promises to foster innovative solutions to provide high-quality services that respond to users’ needs. Considering this background, we aim at critically exploring public service co-creation via a scoping review, employing the PRISMA-ScR method. Our review focuses on 25 empirical studies out of 75 analyzed articles that examine the implementation of co-creation of (digital) public services and investigates how the empirical literature portrays the concept of public service co-creation. Our findings primarily suggest that co-creation can be implemented in a wide range of sectors and settings, to improve public services and to foster innovation, throughout the whole public service cycle, using a variety of digital, analog and hybrid co-creation tools and strategies. Yet, our review has also shown that there is still an implementation gap that needs to be bridged between knowing and doing in the context of public services co-creation in a digital setting.
Design and Verification of Flush Air Data Sensing Module with Navigation and Temperature Information
Authors: Fan Xiaoshuai , Jiang Zhenyu , Bai Xibin , Zhang Shifeng , Liu Longbin
Published: November 2021

For aircraft which move in the atmosphere, the angle of attack and angle of sideslip cannot be measured precisely. This limits the precision of guidance and control systems, so the flush air data sensing system module with navigation and temperature information is designed for atmosphere parameter calculation. In this work the traditional parameter calculation method is improved, and a new algorithm which combines pressure data, temperature data and navigation data to calculate the atmosphere parameters is proposed. A ground experiment test scheme with a simulated flight environment is designed and the measured data is fitted and filtered to complete the experiments. The flush air data sensing module gets pressure data and temperature data of the atmosphere with sensors, and the measured data is integrated with navigation information to calculate the aircraft parameters of the angle of attack, angle of sideslip, dynamic pressure, static pressure, Mach number and so on. Calculated parameters can be transmitted to guidance and control systems to improve the attitude and trajectory precision for an aircraft. Experimental results show that the software and hardware of the flush air data system module with navigation and temperature information work well, and communication of various devices is normal. The flight status of aircraft can be precisely calculated online, which provides a useful reference for prospective wind tunnel experiments and flight tests.
Comprehensive Evaluation of Soil Moisture Sensing Technology Applications Based on Analytic Hierarchy Process and Delphi
Authors: Yu Limin , Tao Sha , Ren Yanzhao , Gao Wanlin , Liu Xinliang , Hu Yongkang , Shamshiri Redmond R.
Published: November 2021

The demand for smart irrigation and water-saving practices in agriculture has triggered the development of different soil moisture sensing techniques that can operate under harsh field conditions. In this study, a soil moisture sensing technology appropriate for the field applications was comprehensively evaluated. From a qualitative and quantitative perspective, the Delphi and analytic hierarchy process methods were used to construct an index system involving technological advantage, economic benefit, risk analysis, policy support, four second-level indicators, and 23 fourth-level indicators. The results showed that economic benefits account for the largest weight. The practical evaluation resulted in 12 farms that showed that the selected soil water sensing methods performed reasonably and exhibited obvious water-saving irrigation benefits, which are usually used for scheduling irrigation. The overall score of M4 in different soil types was 0.2% lower than that of M5. Farms with reasonable economic conditions and a high awareness scored 5.3% higher on technology than those with modest economic conditions, which clearly affects the evaluation scores of the two technologies. The evaluation results help farmers and government decision-making bodies in technology selection, production decision-making, and risk control.
Content of Amino Acids in Maize and Yellow Lupine after Fluorine Application to Soil
Authors: Szostek Radosław , Ciećko Zdzisław , Rolka Elżbieta , Wyszkowski Mirosław
Published: November 2021

Pollution of the natural environment with fluorine compounds makes the continuous monitoring of the content of this element necessary, not only in the air, water and soil, but also in food. A high level of fluorine contamination of soils can affect quality of the obtained yields, affecting the amino acid composition of protein. It often becomes a cause of reducing nutrition and feed value of agricultural yields. In the undertaken studies, the influence of fluorine application to the soil on the amino acid content in proteins accumulated in the above-ground parts (aerial) of Zea mays L. and Lupinus luteus L. was studied. The lowest and medium doses of fluorine had a significant positive effect on the content of exogenous and endogenous amino acids in the protein of the aerial mass of maize, for which the increase of sum of all amino acids was 7% and 8%, respectively, in relation to controls. The above-ground parts of yellow lupine were characterised by a much higher content of the tested amino acids than maize. The subsequent influence of soil contamination with fluorine on the amino acid content in yellow lupine did not have the same effect as in the main plant, and the influence of fluorine was somewhat limited. With respect to yellow lupine, it was demonstrated that the lowest fluorine dose (100 mg F kg−1 of soil), did not have a beneficial influence on the sum of all amino acids. The medium and highest doses of fluorine depressed in a small degree the content of the sum of these compounds in the dry mass of yellow lupine.
A New Organic-Inorganic Compound Fertilizer for Improving Growth, Yield, and 2-Acetyl-1-Pyrroline Biosynthesis of Fragrant Rice
Authors: Luo Haowen , Duan Meiyang , He Longxin , Yang Shuying , Zou Yingbin , Tang Xiangru
Published: November 2021

Fragrant rice (Oryza sativa L.) is a high-valued rice type and possesses a unique aroma with 2-acetyl-1-pyrroline (2-AP) as the critical component. However, the cultivation measures in fragrant rice production are far from perfect. In this study, a new organic-inorganic compound fertilizer was made with organic matter, urea, superphosphate, potassium chloride, zinc sulfate, and lanthanum chloride. A four-year field experiment was conducted to investigate its effects on fragrant rice growth, yield formation, and 2-acetyl-1-pyrroline biosynthesis. Three treatments, i.e., (CK) no fertilizer was applied, (IF) the urea, superphosphate, and potassium chloride were applied at 234 kg ha−1, 450 kg ha−1 and 108 kg ha−1, and (OICF) this new fertilizer composed of 10% organic matter, 26% urea, 50% superphosphate, 12% potassium chloride, 1.9% zinc sulfate, and 0.1% lanthanum chloride, was applied at 900 kg ha−1, were adopted in the present study. Across four experimental years, the results showed that the grain yield in OICF treatment ranged between 5.86–8.29 t ha−1, and was significantly (p < 0.05) higher than that in IF treatment and CK. The improvement in grain yield due to OICF treatment was explained by increased effective panicle number per m2 and seed-setting rate. The highest or equally highest chlorophyll content and the net photosynthetic rate at 20, 40, 60, and 80 days after transplanting were recorded in OICF treatment among three treatments. OICF treatment also increased the aboveground biomass of fragrant rice compared with IF treatment and CK. Moreover, compared with CK and IF treatment, OICF treatment significantly (p < 0.05) increased grain 2-AP content by 30–38% and 10–21%, respectively. The contents of 2-AP related precursors, including proline and 1-pyrroline, also increased due to OICF treatment. This study provided a new organic-inorganic compound fertilizer and suggested that it could be used to achieve the goals of high yield and high grain 2-AP content in fragrant rice production.
Unravelling the Role of Rhizosphere Microbiome and Root Traits in Organic Phosphorus Mobilization for Sustainable Phosphorus Fertilization. A Review
Authors: Amadou Issifou , Houben David , Faucon Michel-Pierre
Published: November 2021

Moving toward more sustainable sources for managing phosphorus (P) nutrition in agroecosystems, organic phosphorus (Po) derived from organic inputs and soil is increasingly considered to complement mineral P fertilizer. However, the dynamics of P added by organic input in soil-plant systems is still poorly understood and there is currently no clear information on how the Po composition of these amendments determines P availability through interactions with the soil microbiome and root traits. Here, we review the main mechanisms of rhizosphere microbiome and root traits governing the dynamics of organic input/soil-derived Po pools in the soil-plant system. We discuss the extent to which the major forms of Po derived from organic input/soil can be used by plants and how this could be improved to provide efficient utilization of organic inputs as potential P sources. We provide new insights into how a better understanding of the interactions between Po forms, root traits, and rhizosphere microbiomes can help better manage P fertilization, and discuss recent advances in the mobilization and recovery of Po from organic inputs. We then develop proposed strategies in agroecology that could be used to improve Po utilization, specifically by better linking plant traits and Po forms, and developing new cropping systems allowing more efficient Po recycling.
Effects of Potassium Availability on Growth and Development of Barley Cultivars
Authors: Azzawi Widad Al , Gill Muhammad Bilal , Fatehi Foad , Zhou Meixue , Acuña Tina , Shabala Lana , Yu Min , Shabala Sergey
Published: November 2021

Potassium deficiency is one of the major issues affecting crop production around the globe. Giving the high cost of potassium fertilizers and environmental concerns related to inappropriate fertilization practices, developing more potassium use efficient (KUE) varieties is critical for sustainable food production in agricultural systems. In this study, we analysed the impact of potassium availability on agronomical attributes of thirty barley genotypes grown at four different levels of potassium (0.002 mM, 0.02 mM, 2 mM, 20 mM) under glasshouse conditions. The results showed that the availability of potassium in the soil had a major effect on yield components i.e., spike number, grain number and grain weight. Furthermore, grain weight showed a strong correlation with grain number and spike number at all levels of potassium supply. Although an increase in potassium supply led to an increase in plant height in all genotypes, the correlation with grain weight was very weak at all levels. Potassium supplementation caused an increase in shoot dry weight, which also showed a weak correlation with grain weight at the 0.002 mM potassium supply level. The genotypes Gebeina, Skiff, YF374, Flagship and YF374 were highly efficient in performing at suboptimal K supply levels and, thus, can be recommended to be grown in K-impoverished soils. We also suggest that grain and spike numbers could be used as proxies for KUE studies, to construct DH lines and identify QTL to improve low potassium tolerance and KUE in barley.
Water Quality for Agricultural Irrigation and Aquatic Arsenic Health Risk in the Altay and Tianshan Mountains, Central Asia
Authors: Liu Wen , Ma Long , Abuduwaili Jilili
Published: November 2021

Due to a lack of water-quality studies compared with water-quantity studies, an investigation into the factors influencing the hydrochemical composition of the rivers in the Tianshan and Altay Mountains was conducted with a model of multiple linear regression, while the suitability of the water quality for irrigation and the health risks of arsenic (As) were assessed with classical evaluation methods. The results suggest that 44.0% of the water samples from the Altay Mountains fell into the Ca-HCO3 category type, 48.0% of the water samples were of the Ca-HCO3-Cl type, and the remaining samples belonged to the Ca-Na-HCO3-Cl type. In the Tianshan Mountain area, 58.6% of the water samples fell into the Ca-HCO3 hydrochemical category, 20.7% of the water samples were of the Ca-HCO3-Cl type, and 20.7% of the water samples belonged to the Ca-Na-HCO3-Cl type. The major ions in the water were dominated by the control of the water and rock interaction. The interaction between water and rock in the Altay area controlled 69.2% of the overall variance in the As content in the river waters, and it dominated 76.2% of the variance in the Tianshan region. The river waters in the Altay and Tianshan Mountain regions are suitable for agricultural irrigation with excellent-to-good water quality. The results also suggest that there is no non-carcinogenic risk and that the carcinogenic risk is between the acceptable/tolerable risk range of 10−6–10−4, except only one sample in Tianshan Mountain region. The research methodology provided a reference for revealing the potential sources of toxic element pollution, and the results provided a scientific basis for regional agricultural irrigation, as well as a reference for decision making on the environmental protection of the watershed.
Evaluating the Diversity of Ecotypes of Red Clover (Trifolium pratense L.) from Northwestern Spain by Phenotypic Traits and Microsatellites
Authors: Fernández-Otero Cristina Isabel , Ramos-Cabrer Ana María , López-Díaz Julio Enrique , Pereira-Lorenzo Santiago
Published: November 2021

For more than 50 years, the CIAM-AGACAL (Agricultural Research Centre of Mabegondo, Xunta de Galicia, A Coruña, Spain) has been carrying out the important task of conserving the phytogenetic resources of ecotypes and natural populations of grassland species from northwestern Spain. The CIAM-AGACAL’s germplasm bank has 57 populations of red clover (Trifolium pratense Lam.), one of the most cultivated forage legumes in the world. The goal of the present study was to evaluate the diversity among cultivars and natural clover populations at morphological and molecular level. Twelve polymorphic SSR loci revealed 241 microsatellite alleles with an average of 20.08 alleles per locus. Two main groups were detected by the Structure software, one of them including local populations and the second clustering cultivars and related populations. Intra-specific variability was found among cultivars and natural populations. A moderate genetic differentiation of Spanish red clover cultivars was observed (Fst = 0.08) between the two main clusters. Finally, a certain relationship between phenotypic and genotypic variation was detected.
The Composition and Seasonal Variation of Epigeic Arthropods in Different Types of Agricultural Crops and Their Ecotones
Authors: Langraf Vladimír , Petrovičová Kornélia , Schlarmannová Janka
Published: November 2021

Changes in the structures of epigeic arthropods reflect changes in the ecological status of their habitats. The aim of this research was to assess the influence of ecotones and environmental variables (pH soil, soil moisture, potassium, phosphorus, nitrogen) on the abundance of epigeic arthropods. Between 2018 and 2020, an investigation of different types of crops (Brassica napus L., Pisum sativum L., Triticum aestivum L., T. spelta L., Zea mays L., grass mixture) recorded 31,315 individuals belonging to 14 taxonomic groups and their ecotones, using pitfall traps. The abundance of epigeic arthropods was affected by moisture, pH of soil, and levels of phosphorus, potassium and nitrogen. We observed a greater average number of individuals in the ecotones than in the fields in the months of September and October and in Triticum aestivum crops. During other months and for the remaining crops, we did not notice this difference. This contributed new information regarding the ecotone rule. Our results suggest that agricultural intensification affects epigeic arthropods in the crop Triticum aestivum, which is important for the production of biomass and also affects crop yields.
Antioxidative and Oxidative Profiles in Plasma and Saliva in Dairy Cows during Pregnancy
Authors: Bielecka Arletta , Jamioł Monika , Kankofer Marta
Published: November 2021

Increased metabolism that occurs during pregnancy can result in oxidative stress which is harmful to cells and, consequently, for the proper functioning of the whole organism. Plasma and recently also saliva are important resources for evaluating physiological and pathological conditions in animals. The study aimed to investigate the influence of the metabolic state on the effectiveness of the antioxidant profile of plasma and saliva during the pregnancy of cows. Seventy-six healthy pregnant and twelve non-pregnant control cows were included in the study. Blood and saliva samples were collected each month of the pregnancy course. Examined body fluids were used to evaluate both the total antioxidant capacity (TAC) and the oxidative parameters related to protein and lipid peroxidative processes. TAC, the content of hydroperoxides, and SH groups were determined spectrophotometrically while formylokinurenine and bityrosine contents were measured spectrofluorimetrically. The results showed dynamic changes depending on the period of pregnancy course. The highest antioxidant activity in plasma was mostly noted in early pregnancy and advanced pregnant cows. All tested parameters except SH groups expressed higher values in saliva compared to plasma. Obtained results reveal that the increase in oxidative intensity induced appropriate answers of cells reflected in the increase in antioxidative activity of the organism. Moreover, some examined parameters can indicate the intensity of oxidative stress and therefore could be used in a panel of markers of the physiological course of pregnancy. However, with regards to antioxidant/oxidative parameters, saliva reflects the content of plasma only in part, due to the local metabolism of the salivary gland. Further studies are necessary to establish physiological ranges of antioxidative/oxidative profiles in cows and to define the usefulness of saliva as biological material in oxidative stress diagnostics.
Effects of Receiving Two Initial Feedings of Colostrum on the Average Daily Gain and Health of Pre-Weaning Group Housed Holstein Heifer Calves
Authors: Zheng Qiu-Di , Leal Yepes Francisco A.
Published: November 2021

We studied the effect on average daily gain (ADG) and health of an additional colostrum feeding to Holstein dairy heifers 12–16 h after the first colostrum feeding, provided within 2 h of birth. Calves (n = 190) with an average birth weight of 38.8 kg (29.5–52.6 kg) were randomly enrolled in blocks to either the control (CON) or colostrum (COL). The CON received 3 L of acidified pasteurized whole milk, and the COL received 3 L of pasteurized colostrum [average: 25.5 (24.7–26.4)% Brix]. Calves were group-housed, weighed, withers height measured weekly. Serum was obtained and analyzed with a% Brix refractometer. Mixed linear models were used to assess the differences in ADG, body weight, and height between the treatment and control. There was no difference in ADG between the COL and CON. However, serum % Brix was higher in the COL group (9.7%) than in the CON group (9.2%). Calves in the COL had more antibiotic treatments for respiratory diseases but fewer antibiotic treatments for otitis than the CON. In conclusion, providing an extra feeding of colostrum did not contribute to ADG of Holstein heifers during the pre-weaning period but did provide them with a higher total serum protein concentration.
Anti-Candidal Activity of the Parasitic Plant Orobanche crenata Forssk
Authors: D’Angeli Floriana , Guadagni Fiorella , Genovese Carlo , Nicolosi Daria , Trovato Salinaro Angela , Spampinato Mariarita , Mannino Giuliana , Lo Furno Debora , Petronio Petronio Giulio , Ronsisvalle Simone , Sipala Federica , Falzone Luca , Calabrese Vittorio
Published: November 2021

Candida albicans (C. albicans) and Candida glabrata (C. glabrata) are part of the human microbiome. However, they possess numerous virulence factors, which confer them the ability to cause both local and systemic infections. Candidiasis can involve multiple organs, including the eye. In the present study, we investigated the anti-candidal activity and the re-epithelizing effect of Orobanche crenata leaf extract (OCLE). By the microdilution method, we demonstrated an inhibitory effect of OCLE on both C. albicans and C. glabrata growth. By crystal violet and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, we showed the ability of OCLE to inhibit the biofilm formation and the viability of yeast cells, respectively. By germ tube and adhesion assays, we proved the capacity of OCLE to affect the morphological transition of C. albicans and the adhesion of both pathogens to human retinal pigment epithelial cells (ARPE-19), respectively. Besides, by MTT and wound healing assay, we evaluated the cytotoxic and re-epithelizing effects of OCLE on ARPE-19. Finally, the Folin–Ciocalteu and the ultra-performance liquid chromatography-tandem mass spectrometry revealed a high content of phenols and the presence of several bioactive molecules in the extract. Our results highlighted new properties of O. crenata, useful in the control of Candida infections.
Multiple and High-Risk Clones of Extended-Spectrum Cephalosporin-Resistant and blaNDM-5-Harbouring Uropathogenic Escherichia coli from Cats and Dogs in Thailand
Authors: Nittayasut Naiyaphat , Yindee Jitrapa , Boonkham Pongthai , Yata Teerapong , Suanpairintr Nipattra , Chanchaithong Pattrarat
Published: November 2021

Resistance to extended-spectrum cephalosporins (ESC) and carbapenems in Escherichia coli (E. coli), increasingly identified in small animals, indicates a crisis of an antimicrobial resistance situation in veterinary medicine and public health. This study aimed to characterise the genetic features of ESC-resistant E. coli isolated from cats and dogs with urinary tract infections in Thailand. Of 72 ESC-resistant E. coli isolated from diagnostic samples (2016–2018), blaCTX-M including group 1 (CTX-M-55, -15 and -173) and group 9 (CTX-M-14, -27, -65 and -90) variants were detected in 47 isolates (65.28%) using PCR and DNA sequencing. Additional antimicrobial resistance genes, including plasmid-mediated AmpC (CIT and DHA), blaNDM-5, mcr-3, mph(A) and aac(6′)-Ib-cr, were detected in these isolates. Using a broth microdilution assay, all the strains exhibited multidrug-resistant phenotypes. The phylogroups were F (36.11%), A (20.83%), B1 (19.44%), B2 (19.44%) and D (4.17%), with several virulence genes, plasmid replicons and an integrase gene. The DNA fingerprinting using a repetitive extragenic palindromic sequence-PCR presented clonal relationships within phylogroups. Multiple human-associated, high-risk ExPEC clones associated with multidrug resistance, including sequence type (ST) 38, ST131, ST224, ST167, ST354, ST410, ST617 and ST648, were identified, suggesting clonal dissemination. Dogs and cats are a potential reservoir of ESC-resistant E. coli and significant antimicrobial resistance genes.
Modeling E-Behaviour, Personality and Academic Performance with Machine Learning
Authors: Seota Serepu , Klein Richard , van Zyl Terence
Published: November 2021

The analysis of student performance involves data modelling that enables the formulation of hypotheses and insights about student behaviour and personality. We extract online behaviours as proxies to Extraversion and Conscientiousness, which have been proven to correlate with academic performance. The proxies of personalities we obtain yield significant (p<0.05) population correlation coefficients for traits against grade—0.846 for Extraversion and 0.319 for Conscientiousness. Furthermore, we demonstrate that a student’s e-behaviour and personality can be used with deep learning (LSTM) to predict and forecast whether a student is at risk of failing the year. Machine learning procedures followed in this report provide a methodology to timeously identify students who are likely to become at risk of poor academic performance. Using engineered online behaviour and personality features, we obtain a Cohen's Kappa Coefficient (κ) of students at risk of 0.51. Lastly, we show that we can design an intervention process using machine learning that supplements the existing performance analysis and intervention methods. The methodology presented in this article provides metrics that measure the factors that affect student performance and complement the existing performance evaluation and intervention systems in education.
Atmospheric Optical Turbulence Characteristics over the Ocean Relevant to Astronomy and Atmospheric Physics
Authors: Xu Manman , Shao Shiyong , Weng Ningquan , Zhou Liangping , Liu Qing , Zhao Yuefeng
Published: November 2021

Due to the space and time constraints of turbulence measurement equipment and the experiment scene, it is difficult to obtain the atmosphere refractive index structure constant over the ocean. In this paper, the characteristics of atmospheric optical turbulence in offshore and open ocean conditions are summarized by analyzing the meteorological data obtained from two ocean atmospheric optical parameter field experiments. Because of the influence of land undersurface, the turbulence strength in offshore conditions is roughly the same as that on land and presents different characteristics in open ocean. Compared with the offshore area, the turbulence strength over the open ocean near-surface decreases during the day and increases at night, and the diurnal variation characteristics weaken. The turbulence strength profiles over the offshore area show different characteristics at different times, where the turbulence strength in the morning is higher than that in the evening. By retrieving the meteorological factors affecting the turbulence, it is found that the temperature gradient and wind shear are in good agreement with turbulence strength in both offshore and open ocean areas. Furthermore, the integrated parameters for astronomy and optical telecommunication are derived from profiles over the offshore and open ocean areas. It is of great significance to research the turbulent characteristics of ocean atmosphere for optical transmission and astronomical observations.
Comparative Phytochemical Analysis of Syzygium formosum (Wall.) Masam Leaf and Its Biological Activities
Authors: Hoang Khanh Hong Thi , Lim Jaeyoon , Nguyen My Tuyen Thi , Lee Nan-Young , Lee Chang-Kyu , Nguyen Van Dao , Kim Hye-Lynn , Park Jong-Tae , Kim Jaehan
Published: November 2021

Syzygium formosum (SF) leaves have long been used in traditional medicine for the treatment of skin-related diseases such as atopic dermatitis and psoriasis. To understand the underpinning pharmacological mechanism of skin relief functionality, the quantitative profile of phytochemicals in the leaf extract has been performed. Twenty phytochemical components including eight flavonoids, three phenolic acids, and nine triterpenoids were identified and quantitatively analyzed from the SF leaves. The dominant flavonoids of the SF leaves were found to be catechin and myricetin-3-O-rhamnoside. Gallic acid was the most abundant phenolic acid. Among triterpenoids, asiatic acid, corosolic acid, and betulinic acid exhibited a high concentration ranging 2.78–8.59, 3.19–3.91, and 3.58–6.14 mg/g dry leaf, respectively. The total triterpenoid contents were 14.18–19.00 mg/g dry leaf which were 3-fold higher than those in the Indonesian Centella asiatica leaves. In human keratinocytes assay, industrial scale extract of SF significantly reduced expressions of proinflammatory cytokines and cyclooxygenase-2. Furthermore, that SF extract exhibited very strong antibacterial activity on Staphylococcus aureus and Cutibacterium acnes that possibly induce serious skin problems. Our results proved that S. formosum leaf extract with high content of biologically active compounds could be a superior bioactive ingredient in cosmetic and pharmaceutical products.
A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
Authors: Linfati Rodrigo , Gatica Gustavo , Escobar John Willmer
Published: November 2021

The collection, transport, and final disposal of hospital waste may cause contamination and disease if improperly handled. Therefore, such residues are hazardous to the health of waste collectors. These wastes are generated by public agencies, such as hospitals, family health centers, dialysis centers, and private healthcare providers. In this study, a mixed-integer linear programming model is proposed for monthly customer scheduling and route assignment. The proposed approach was fulfilled according to customers’ collection frequency, truck capacity, and customer geographical location. The proposed mathematical model successfully balanced the number of customers and the workload during each day. The effectiveness of the proposed model was tested on data obtained from a waste collection company. The model has been implemented in AMPL language, and the performance of commercial solvers, GUROBI and CPLEX, to obtain an optimal solution were tested. The results show the efficiency of the proposed approach to balance the workload concerning previous scheduling is done ad hoc at the company. The use of the formulated model provides an automatic procedure that was previously performed manually. The methodology can be adapted to other companies with similar requirements.
Quality Classification of Dragon Fruits Based on External Performance Using a Convolutional Neural Network
Authors: Minh Trieu Nguyen , Thinh Nguyen Truong
Published: November 2021

Currently, most agricultural products in developing countries are exported to many countries around the world. Therefore, the classification of these products according to different standards is necessary. In Vietnam, dragon fruit is considered as the fruit with the highest export rate. Currently, the classification of dragon fruit is carried manually, lead to low-quality classification high labor costs. Therefore, this study describes an automatic dragon fruit classifying system using non-destructive measurements, based on a convolutional neural network (CNN). This classifying system uses a combination of a model of machine learning and image processing using a convolutional neural network to identify the external features of dragon fruits; the fruits are then classified and evaluated by groups. The dragon fruit is recognized by the system, which extracts the objects combined with the signal obtained from the loadcell to calculate and determine dragon fruit in each group. The training data are collected from the dragon fruit processing system, with a dataset of images obtained from more than 1287 dragon fruits, to train the model. In this system, the classification of the processing speed and accuracy are the two most important factors. The results show that the classification system achieves high efficiency. The system is effective with existing dragon fruit types. In Vietnamese factories, the processing speed of the system increases the sorting capacity of export packing facilities to six times higher than that of the manual method, with an accuracy of more than 96%.
The Relationship between Skinfold and Ultrasound Measures of Subcutaneous Fat in Untrained Healthy Males
Authors: Ryan-Stewart Helen , O’Leary Abigail , Paine Eloise , Faulkner James , Jobson Simon
Published: November 2021

Ultrasound measurement of adipose tissue offers an alternative measure of body composition with less technical skill requirement than skinfolds. However, the relationship between skinfold and ultrasound measurements of adipose tissue is uncertain. The aim of this study was to compare these measures in a healthy untrained male population. One hundred male participants (aged 18–40 years) of varying body compositions had skinfold measures taken at the biceps, triceps and front thigh sites. Ultrasound measures were also taken at the same sites using B-wave ultrasound with a linear probe in the transverse plane. Strong, significant (p < 0.01), positive correlations were observed between skinfold and ultrasound measures at the biceps (r = 0.828), triceps (r = 0.813), and front thigh (r = 0.888) sites. However, there was significant (p < 0.01) variance between the techniques at all measurement sites. Whilst skinfold and ultrasound measures of adipose tissue have good linear agreement, skinfolds are consistently higher at all sites indicating a difference in the nature of the tissue measured via each technique. The exact nature of the relationship should be established on a population-specific basis.
Driver Behavior Classification System Analysis Using Machine Learning Methods
Authors: Ghandour Raymond , Potams Albert Jose , Boulkaibet Ilyes , Neji Bilel , Al Barakeh Zaher
Published: November 2021

Distraction while driving occurs when a driver is engaged in non-driving activities. These activities reduce the driver’s attention and focus on the road, therefore increasing the risk of accidents. As a consequence, the number of accidents increases and infrastructure is damaged. Cars are now equipped with different safety precautions that ensure driver awareness and attention at all times. The first step for such systems is to define whether the driver is distracted or not. Different methods are proposed to detect such distractions, but they lack efficiency when tested in real-life situations. In this paper, four machine learning classification methods are implemented and compared to identify drivers’ behavior and distraction situations based on real data corresponding to different behaviors such as aggressive, drowsy and normal. The data were randomized for a better application of the methods. We demonstrate that the gradient boosting method outperforms the other used classifiers.
COVID-19 Lockdown in Belgrade: Impact on Air Pollution and Evaluation of a Neural Network Model for the Correction of Low-Cost Sensors’ Measurements
Authors: Vajs Ivan , Drajic Dejan , Cica Zoran
Published: November 2021

In this paper, we explore the impact of the COVID-19 lockdown in Serbia on the air pollution levels of CO, NO2 and PM10 alongside the possibility for low-cost sensor usage during this period. In the study, a device with low-cost sensors collocated with a reference public monitoring station in the city of Belgrade is used for the same period of 52 days in 2019 (pre-COVID-19 period), 2020 (COVID-19 lockdown) and 2021 (post-COVID-19 period). Low-cost sensors’ measurements are improved by using a convolutional neural network that applies corrections of the influence of temperature and relative humidity on the low-cost sensors. As a result of this study we have noticed a remarkable decrease in NO2 (primarily related to traffic density), while on the other hand CO and PM10, related to domestic heating sources and heating plants, showed constant or slightly higher levels. The obtained results are in accordance with other published work in this area. The low-cost sensors have shown a satisfactory correlation with the reference CO measurements during the lockdown, while the NO2 and PM10 measurements of 2020 were corrected using a convolutional neural network trained on meteorological and pollutant data from 2019. The results include an improvement of 0.35 for the R2 of NO2 and an improvement of 0.13 for the R2 of PM10, proving that our neural network model trained on data from 2019 can improve the performance of the sensor in the lockdown period in 2020. This means that our neural network model is very robust, as it exhibits good performance even in the case where training data from the prior year (2019) are used in the following year (2020) in very different environment circumstances—a lockdown.
Determination of the Reference Temperature for a Convective Heat Transfer Coefficient in a Heated Tube Bank
Authors: Kotšmíd Stanislav , Brodnianská Zuzana
Published: November 2021

The paper presents a theoretical analysis of heat transfer in a heated tube bank, based on the Nusselt number computation as one of the basic dimensionless criteria. To compute the Nusselt number based on the heat transfer coefficient, the reference temperature must be determined. Despite the value significance, the quantity has several different formulations, which leads to discrepancies in results. This paper investigates the heat transfer of the inline and staggered tube banks, made up of 20 rows, at a constant tube diameter and longitudinal and transverse pitch. Both laminar and turbulent flows up to Re = 10,000 are considered, and the effect of gravity is included as well. Several locations for the reference temperature are taken into consideration on the basis of the heretofore published research, and the results in terms of the overall Nusselt number are compared with those obtained by the experimental correlations. This paper provides the most suitable variant for a unique reference temperature, in terms of a constant value for all tube angles, and the Reynolds number ranges of 100–1000 and 1000–10,000 which are in good agreement with the most frequently used correlating equations.
State-Feedback Control in Descriptor Discrete-Time Fractional-Order Linear Systems: A Superstability-Based Approach
Authors: Borawski Kamil
Published: November 2021

In this article, the superstabilizing state-feedback control problem in descriptor discrete-time fractional-order linear (DDFL) systems with a regular matrix pencil is studied. Methods for investigating the stability and superstability of the considered class of dynamical systems are presented. Procedures for the computation of the static state-feedback (SSF) and dynamic state-feedback (DSF) gain matrices such that the closed-loop DDFL (CL-DDFL) system is superstable are presented. A numerical example is used to show the efficacy of the presented approach. Our considerations were based on the Drazin inverse matrix method.