Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainability of supply chains in the wake of the coronavirus (COVID-19/SARS-CoV-2) pandemic: lessons and trends

PurposeThe purpose of this article is to address the prioritisation and focus of supply chain managers subsequent to coronavirus disease 2019 (COVID-19)/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the great lockdown of 2020.Design/methodology/approachIn this article, concepts and trends on resilient and sustainable supply chains are systematized. Main trends in sustainability of supply chains in the wake of COVID-19 are presented.FindingsGuidelines on building smarter and more resilient supply chains are provided and future tendencies, which includes the increase of a sustainable consumption perspective, are highlighted.Originality/valueThis is a conceptual article blended with a practical approach aiming to propose guidelines for managers and scholars on how to address supply chain management challenges after the coronavirus pandemic.
Genetic Diversity and Potential High Temperature Tolerance in Barley (Hordeum vulgare)

Heat stress is an important abiotic stress causing the major threat to the growth and development of most crop plants. A panel of 326 barley genotypes comprises of 320 wild barley accessions and six local cultivars were evaluated for days to heading (DTH), days to flowering (DTF), number of tillers per plant (NoT), plant height (PH), Chlorophyll content (CC), spike length (SL), thousand kernel weight (TKW) and single plant yield (SPY) under optimum sowing and heat-stressed conditions. All measured traits exhibited highly significant differences both among evaluated genotypes and between the optimum sowing and the heat-stressed conditions. Plants exposed to high temperatures flowered earlier. A drastic reduction in morphological and yield contributing traits, i.e., PH, NoT, SL, TKW, SPY and CC under heat stress conditions was observed. Cluster analysis revealed two distinct groups based on heat stress tolerance with substantial diversity among the heat tolerant genotypes.
A Multiobjective Optimisation based Approach of PID Controller Tuning in an AVR System

: We all know very well that there is need of PID controller tuning in an AVR system to maintain stability in transient conditions. Many soft computing techniques such as Artificial Neural Network, Fuzzy logics, Optimisation and many more can be used to achieve the purpose. There can be many parameters for selecting an appropriate method such as Robustness, Accuracy, Efficiency, Time required, complexity etc. In this paper we have selected Optimisation technique just because of its less complexity and many options available within it. We also have many wide options in the form of a vast range of different algorithms. We have taken Multiobjective Optimisation in our study, its basic working is same as conventional optimisation techniques and difference is it allows us to achieve more than one objectives in an optimisation problem.
Influence of the aggregate skeleton matrix and volumetric composition on the resistance of stone mastic asphalt to permanent deformation

The influence of different aggregate skeleton matrices, as well volumetric composition and mixture stiffness, on the resistance of SMA to permanent deformation was assessed. Nine SMA with different optimised aggregate skeleton matrices, studied elsewhere, were now evaluated to permanent deformation with wheel tracking. The results were statistically analysed concerning relationship with specimens’ volumetric characteristics, Marshall properties and mixture stiffness. Aggregate skeleton optimised with the dry rodded compaction tend to produce asphalt mixtures similar to SMA designed with pre-established grading envelopes. SMA with aggregate skeleton optimised with Proctor and steel roller compaction showed higher coarse aggregates and binder contents, and thus, it is expected a better cracking resistance and durability for the same level of resistance to permanent deformation. Statistical analysis shows that the new proposed property (ratio between binder film thickness and porosity) and, ratio between Marshall stability and flow had the best correlations with permanent deformation properties.
Antimycobacterial Activity from Cyanobacterial Extracts and Phytochemical Screening of Methanol Extract of Hapalosiphon.

ABSTRACT The recent increase in the number of multidrug-resistant clinical isolates of M. tuberculosis. has created an urgent need for the discovery and development of new antituberculosis leads. Natural products form one avenue in the search for new antitubercular agents. Cyanobacteria (blue-green algae) are a diverse group of photosynthetic, prokaryotic microorganisms found in fresh and marine waters. They produce a diversity of secondary metabolites having potential activity as antimicrobials, antivirals, and as other pharmacologically active compounds. In the current study, organic extracts of 10 cyanobacterial strains collected from the fields of an agricultural research institute in India were investigated for their antimycobacterial properties by an agar diffusion bioassay followed by minimum inhibitory concentration determination. Preliminary phytochemical screening methodologies were performed to identify active component of an extract from Hapalosiphon. sp. This study may be the first documentation of the activity of these species against mycobacteria.
The role of knowledge management in MSMEs business performance

This research purpose is to examine the effect of knowledge management on MSMEs business performance and how these relationships are mediated by business innovation. The population in this study was the owner of MSMEs in the city of Semarang. Data collection methods were observation, questionnaires, and interviews. Purposive sampling was used in this study, in addition, 100 respondents collected as a sample. Structural Equation Modeling (SEM) through the Warp PLS program was used to test the hypothesis. The results of the study revealed that knowledge management is influencing business innovation. Business innovation also affects business performance. In this study, knowledge management has no direct influence on business performance, however, knowledge management affects business performance through business innovation as a mediation. This study provides an overview of the importance of knowledge management to be applied in large or small and medium enterprises. This research provides an understanding of the mechanism of the role of knowledge management in MSMEs.
Metabolic Effect of Breaking Up Prolonged Sitting with Stair Climbing Exercise Snacks

Supplemental digital content is available in the text. ABSTRACT Purpose Prolonged sitting is associated with cardiometabolic complications. The study purpose was to investigate whether breaking up prolonged sitting with brief stair climbing exercise “snacks” could lower postprandial insulin, glucose, and free fatty acids responses. Methods In two separate randomized crossover studies, 12 young healthy-weight men (study 1) and 11 adults with overweight/obesity (OW; study 2) completed two experimental conditions: i) sedentary (SED; 9-h sitting) and ii) stair climbing snacks (SS; 8 × 15–30 s once per hour). The same high-glycemic index meals were consumed at 0, 3, and 6 h at each condition. The primary outcome was total insulin area under the curve (AUC) across 9 h. Results In healthy-weight men, there were no significant differences between SS and SED for total (9-h) insulin AUC (P = 0.24, d = 0.4), total glucose AUC (P = 0.17, d = 0.48), total nonesterified fatty acid (NEFA) AUC (P = 0.22, d = 0.4), or total triglyceride AUC (P = 0.72). In adults with OW, total insulin AUC (−16.5%, P = 0.036, d = 0.94) and total NEFA AUC (−21%, P = 0.016, d = 1.2) were significantly lower in SS versus SED. No differences were found for total glucose and triglyceride AUC (all, P > 0.31) in participants with OW. Conclusions Breaking up 9 h of prolonged sitting with hourly brief stair climbing exercise snacks lowered postprandial insulin and NEFA levels in adults with overweight/obesity.
Doing It All For My Baby: Determinants of Multidimensional Paternal Involvement with Infants

The measurement of paternal involvement as a multidimensional construct has evolved with current societal trends of fathering and corresponding advanced theories. As a result, research must keep pace by continuing to examine predictors of the dynamic ways that fathers are involved with their children, particularly with infants. The current study built upon Belsky’s theoretical model of determinants of parenting to posit that paternal involvement with their infants (dependent variable) will be influenced by a combination of father, child, and contextual factors (independent variables). A total of 456 participants were recruited within the United States. Paternal involvement was categorized into five subfactors from the Paternal Involvement with their Infants Scale (PIWIS). Five separate linear regressions were conducted using each of the PIWIS subscale domains as the dependent variable. Results provide support for examining paternal involvement with a multidimensional approach. Characteristics of the child, and psychosocial and relational and contextual variables of the father were uniquely related to the five domains of involvement measured by the PIWIS. Clinical and programmatic implications as well as future directions for research are discussed.
Phytochemical screening of the common weed Chrozophora rottleri to explore the antioxidant property

Chrozophora is a common weed of the family Euphorbiaceae is selected for the study to investigate its antioxidant property basing on the preliminary phytochemical screening. The antioxidant activity was screened in vitro against Nitric oxide radical, hydroxyl radical and Superoxide radical and compared with standard antioxidant ascorbic acid. The reductive ability of Chrozophora rottleri were compared with standard antioxidant BHT. From the results it is evident that Chrozophora rottleri exhibited in vitro antioxidant IC50 values at very high concentration when compared against standards. Hence the present study did not show any evidence of in vitro antioxidant activity against commonly encountered free radicals whereas the phytochemical screening showed the presence of Alkaloids, Flavonoids, Glycosides, Tannins Saponins, Triterpenoids, Terpenoids. Hence although it showed an insignificant anti oxidant property in the plant extract but in the phytochemical screening it had shown very important active ingredients which forms a base for drug discovery.
Carrying capacity estimations to support tourism coastal management in Ungapan Beach Indonesia

The development of tourism in Malang Regency can be seen from the increase in the number of visitors and new tourist destinations that have emerged. Especially tourist attractions that utilize coastal and marine resources on the southern coast of Malang Regency. One of them is Ungapan beach tourism area in Gedangan District. An increase in the number of tourist visits has become an advantage while providing challenges in coastal management. The purpose of this study was to determine the estimated carrying capacity of Ungapan beach tourism. The method used in this study is a descriptive- quantitate method that assesses tourism carrying capacity to support coastal management. Components that we assessed are;first, Physical carrying capacity (PCC); second, Real Carrying Capacity (RCC); and also third, Effective Carrying Capacity (ECC). Results calculation show that the study are the PCC is 12,960 tourists per/day, RCC is 1,993 people/day and the current ECC is 1,533 per/day. The Conclusion is the Ungapan Beach is good place for recreational activities but still has some aspect to improve without causing disruption to the coastal ecosystem and the comfort of the tourists themselves.
Fluoxetine in the Management of Major Depressive Disorder in Children and Adolescents: A Meta-Analysis of Randomized Controlled Trials

Background Fluoxetine is a serotonin-specific reuptake inhibitor antidepressant and is the only approved pharmacological treatment for major depressive disorder (MDD) in children and adolescent. Methods We searched the published randomized controlled-trials to review fluoxetine efficacy and tolerability using the databases PubMed, EudraCT, ClinicalTrials.gov, and Cochrane Central Register of Controlled Trials for fluoxetine role in managing MDD in children and adolescents. A meta-analysis was conducted using the identified 7 clinical trials to assess efficacy using the outcomes: Children's Depression Rating Scale–Revised (CDRS-R), Clinical Global Impressions–Severity of Illness (CGI-S) and Clinical Global Impressions–Improvement (CGI-I) response rate. The risk of discontinuation due to adverse effects and common side effects were examined. Results The mean difference in change from baseline for CDRS-R was −2.72 (95% confidence interval [CI], −3.96, −1.48) favoring fluoxetine treatment (P < .001). Similarly, mean difference for CGI-S was −0.21 (95% CI, −0.36, −0.06). The risk ratio (RR) of discontinuing due to adverse events was 0.98 (95% CI, 0.54, 1.83), with RR for headache side effects 1.34 (95% CI, 1.03, 1.74) and rash 2.6 (95% CI, 1.32, 5.14). Conclusion Fluoxetine demonstrates significant improvements in symptom intensity control in young patients suffering from MDD and is considered well tolerated with similar rates of trials discontinuation; however, fluoxetine was associated with a higher risk of headache and rash side effects. These findings will guide psychiatrists and pharmacists in their clinical role for supporting the care of young mental health patients.
Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis

Background Lung squamous cell carcinoma (LSCC) is a frequently diagnosed cancer worldwide, and it has a poor prognosis. The current study is aimed at developing the prediction of LSCC prognosis by integrating multiomics data including transcriptome, copy number variation data, and mutation data analysis, so as to predict patients' survival and discover new therapeutic targets. Methods RNASeq, SNP, CNV data, and LSCC patients' clinical follow-up information were downloaded from The Cancer Genome Atlas (TCGA), and the samples were randomly divided into two groups, namely, the training set and the validation set. In the training set, the genes related to prognosis and those with different copy numbers or with different SNPs were integrated to extract features using random forests, and finally, robust biomarkers were screened. In addition, a gene-related prognostic model was established and further verified in the test set and GEO validation set. Results We obtained a total of 804 prognostic-related genes and 535 copy amplification genes, 621 copy deletions genes, and 388 significantly mutated genes in genomic variants; noticeably, these genomic variant genes were found closely related to tumor development. A total of 51 candidate genes were obtained by integrating genomic variants and prognostic genes, and 5 characteristic genes (HIST1H2BH, SERPIND1, COL22A1, LCE3C, and ADAMTS17) were screened through random forest feature selection; we found that many of those genes had been reported to be related to LSCC progression. Cox regression analysis was performed to establish 5-gene signature that could serve as an independent prognostic factor for LSCC patients and can stratify risk samples in training set, test set, and external validation set (p < 0.01), and the 5-year survival areas under the curve (AUC) of both training set and validation set were > 0.67. Conclusion In the current study, 5 gene signatures were constructed as novel prognostic markers to predict the survival of LSCC patients. The present findings provide new diagnostic and prognostic biomarkers and therapeutic targets for LSCC treatment.
Analysis of hospital traffic and search engine data in Wuhan China indicates early disease activity in the Fall of 2019

: The global COVID-19 pandemic was originally linked to a zoonotic spillover event in Wuhan’s Huanan Seafood Market in November or December of 2019. However, recent evidence suggests that the virus may have already been circulating at the time of the outbreak. Here we use previously validated data streams - satellite imagery of hospital parking lots and Baidu search queries of disease related terms - to investigate this possibility. We observe an upward trend in hospital traffic and search volume beginning in late Summer and early Fall 2019. While queries of the respiratory symptom “cough” show seasonal fluctuations coinciding with yearly influenza seasons, “diarrhea” is a more COVID-19 specific symptom and only shows an association with the current epidemic. The increase of both signals precedes the documented start of the COVID-19 pandemic in December, highlighting the value of novel digital sources for surveillance of emerging pathogens.
Diffraction of (l,n)th mode Laguerre-Gaussian laser beam by a curved fork-shaped grating

The transformation of (l,n)th mode Laguerre-Gaussian (LG) laser beam, in the process of its diffraction by a curved fork-shaped grating with topological charge p, is theoretically studied. The analytical solutions for the diffracted wave field amplitudes are derived in the Fresnel regime and in the back focal plane of a convergent lens. The zeroth-diffraction order is found as (l,n)th mode LG beam. The higher, th diffraction-order beam is described in the radial direction through a product of the Gauss-doughnut function by the double sum of hypergeometric Kummer functions. Its topological charge can be increased or reduced compared to that of the incident beam, or it can be equal to zero. The radial intensity distributions are plotted and compared to the corresponding ones valid when a fork-shaped grating is used. The results are specialized for the cases of incident LG beams of modes (l, n = 0), (l = 0,n) and (l = 0,n = 0) i.e. Gaussian mode.
Data-driven model-free sliding mode learning control for a class of discrete-time nonlinear systems

This paper proposes a data-driven model-free sliding mode learning control (MFSMLC) for a class of discrete-time nonlinear systems. In this scheme, the control design does not depend on the mathematical model of the controlled system. The nonlinear system can be transformed into a dynamic linear data system by a novel dynamic linearization method. A recursive learning control algorithm is designed for the nonlinear system that can drive the sliding variable reach and remain on the sliding surface only by using output and input data. Moreover, the chattering is reduced because there is no non-smooth term in MFSMLC. After the strict stability analysis, the effectiveness of MFSMLC is validated by MATLAB simulations.
The management of strong opioid-induced constipation in neoplastic patients

Patients who undergo intensive treatments with high doses of opiates will be confronted with opiate-induced constipation at a certain point during the treatment. This aspect, the presence of medication-induced constipation, significantly alters the quality of life in a negative way. From the very beginning of the opioid treatment initiation, patients should be warned about and they should become aware of the potential adverse effects of these medications, since constipation has a strong psychological impact. As a palliative treatment, laxatives should be administered from the first day of the opioid treatment.
ISOLATION AND IDENTIFICATION OF BACTERIA FROM BIOMEDICAL WASTE (BMW)

Present investigation was aimed to understand the microbial flora in the biomedical waste. The mean total of isolated viable aerobic and anaerobic heterotrophic bacteria population ranged from 2.7x10 7 CFU/gm, 1.6x10 7 CFU/gm, 2.2x10 7 CFU/gm and 3.6x10 7 CFU/gm. The bacteria with their frequency of isolation from the biomedical waste were Bacillus subtilis (12%), Staphylococcus aureus (9%), Klebsiella pneumonia (6%), and Escherichia coli (15%) were isolated and identified using standard protocols. Bacterial strains were morphologically identified using gram staining reaction and biochemical tests. The investigation revealed that the biomedical waste consist of bacterial community which useful for mankind and might be used for the biodegradation of 85% non-infectious hospital waste to recover the resource.
A Model of Practice for Building Teacher Capacity in Educating Young School-age Children on the Autism Spectrum: User Perspectives

ABSTRACT The increasing number of children on the autism spectrum entering mainstream schools requires classroom teachers with the knowledge and skills to create supportive and inclusive environments in which these students can thrive. This paper reports the perspectives offered by 33 teachers who volunteered to trial an Early Years Model of Practice (EY-MoP) designed to provide information and guidance on foundational practices supportive of students on the spectrum. All teachers worked in Australian primary schools and had at least one student on the spectrum in their early years classrooms. In pre-and post-trial interviews, teachers shared their impressions of, and experiences with, the EY-MoP. In general, they endorsed the model as a resource outlining foundational practices for working with students on the spectrum. Insights shared pointed to the positive impact that this kind of comprehensive, foundational resource can have on teaching practice both in everyday planning and as a reflective tool. Responses also indicated that the model enhanced teachers’ knowledge and confidence in supporting students on the spectrum. Taken together, these teacher data provide preliminary evidence for the viability of the EY-MoP as a resource to support both beginning and experienced teachers in their work with young children on the spectrum.
Study on Influence Factors of Pressure Injury Risk in the Elderly Inpatients with Kidney Disease Based on LASSO Regression

Objective: This paper aims to explore clinical status and related influence factors of pressure injury (PI) in the elderly inpatients with kidney disease, so as to provide reference for the prevention and treatment of PI in the elderly inpatients with kidney disease. Methods: Retrospective collection method is adopted to collect 158 clinical cases of the elderly inpatients with kidney disease aged ≥ 60 in the Nephrology Department, the First Affiliated Hospital of Jinan University from January 2017 to December 2019, and then least absolute shrinkage and selection Operator (LASSO) regression analysis is used to analyze 17 possible influence factors; finally Logistic regression model is established to analyze and screen influence factors of risk. Results: 1) Among 158 elderly inpatients with medium and high risk of PI, the incidence of PI is 20.25%; the most common stage of injury is stage I (42.5%); sacrococcygeal (60%) is the high-risk site of pressure injury. 2) LASSO regression analysis shows that history of present respiratory infection/respiratory failure (β = 1.2714. P β = 0.4177. P < 0.05) are independent factors influencing PI risk in the elderly inpatients with kidney disease. Conclusion: The elderly patients with kidney disease and PI risk are the high incidence population of hospital acquired PI; for the elderly inpatients with kidney disease and having respiratory infection history or respiratory failure, prolonged hospitalization will significantly increase the risk of PI. Therefore, targeted preventive and control measures should be taken to reduce the incidence of PI.