Miracle-dz/UniFAR-FTUs huggingface dataset:
Postharvest quality maintenance of 'Crimson Seedless' grapes by preharvest applications

The present study was carried out during both 2018 and 2019 growing seasons on ‘Crimson Seedless’ grape vine grown on sandy soil. Vines received water, salicylic acid 200 mg/L, chitosan 10 g/L, putrescine 5 mM, phenylalanine 400 mg/L, ascorbic acid 500 mg/L, citric acid 700 mg/L, gibberellic acid 20 mg/L, active dry yeast 15 g/L at véraison (change of color) stages and at 10 days before harvesting time. Fruit clusters were harvested when total soluble solids (TSS) reached 16%, stored at 0°C and 85–90 relative humidity for 35 days then kept 2 days at shelf life (25 ±2°C and air humidity 70 ±2). Results at harvest time showed that, salicylic acid, putrescine, gibberellic acid and yeast increased average berry weight and juice volume. Salicylic acid, chitosan, putrescine, citric acid and gibberellic acid maintained the berry adherence strength and firmness. Salicylic acid, chitosan, putrescine and phenylalanine increased berry red color, as well as berry anthocyanin, TSS and sugars content. Highest acidity content was obtained by salicylic acid, chitosan, citric acid and gibberellic acid spraying. Results after cold storage and shelf life showed that, berry weight loss decreased significantly by all chemical sprays, except phenylalanine. High maintenance of berry adherence strength and firmness occurred by gibberellic acid followed by putrescine. All chemicals reduced the unmarketable grapes except the phenylalanine.
Low Molecular Weight Fucoidan Inhibits Pulmonary Fibrosis In Vivo and In Vitro via Antioxidant Activity

In this study, sulfated polysaccharides extracted from Laminaria japonica were degraded by free radicals to obtain low molecular weight fucoidan (LMWF). The in vivo and in vitro effects of LMWF on bleomycin-treated pulmonary fibrosis mice and TGF-treated A549 cells, respectively, were evaluated, and the role of antioxidant activity was assessed. H&E, Masson's trichrome, and Sirius red staining results showed that bleomycin induced obvious pathological changes and collagen deposition in the lung tissue of mice. However, LMWF effectively inhibited collagen deposition, and based on immunohistochemistry analyses, LMWF can also inhibit the expression of fibrosis markers. At the same time, LMWF could regulate related antioxidant factors in the lung tissue of pulmonary fibrosis mice and reduce the pressure of oxidative stress. Moreover, LMWF could improve the morphology of cells induced with TGF, which confirmed that LMWF could inhibit fibrosis via antioxidant activity modulation.
Development and validation of a conceptual framework for IT offshoring engagement success

The study presented in this thesis investigates Offshore Information Technology Outsourcing (IT offshoring) relationships from clients’ perspective. With more client companies outsourcing their IT operations offshore, issues associated with the establishment and management of IT offshoring relationships have become very important. With the growing volume of offshore outsourcing, the numbers of failures are also increasing. Therefore, both clients (service receivers) and suppliers (service providers) face increasing pressure to meet with the objectives of IT offshoring initiatives. Improving the quality of the relationship between client and supplier has frequently been suggested in the literature as probable solution area, however not much literature and empirical evidence is available in this respect. The aim of the study is to make a theoretical and practical contribution by studying the interplay between the critical factors influencing the relationship intensity level of the exchange partners and suggest measures that can potentially increase the success rate in IT offshoring engagements. The objectives of this study are: 1. To identify the relevant critical factors and explore its causes and effects (antecedents and consequences) on the relationship intensity significance level. 2. To develop an integrated conceptual framework combining the hypothetical relationship among these identified critical factors. 3. To empirically validate the conceptual framework.
Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment

Background: Stroke is the second cause of mortality worldwide and the first in women. The aim of this study is to develop a predictive model to estimate the risk of mortality in the admission of patients who have not received reperfusion treatment. Methods: A retrospective cohort study was conducted of a clinical–administrative database, reflecting all cases of non-reperfused ischaemic stroke admitted to Spanish hospitals during the period 2008–2012. A predictive model based on logistic regression was developed on a training cohort and later validated by the “hold-out” method. Complementary machine learning techniques were also explored. Results: The resulting model had the following nine variables, all readily obtainable during initial care. Age (OR 1.069), female sex (OR 1.202), readmission (OR 2.008), hypertension (OR 0.726), diabetes (OR 1.105), atrial fibrillation (OR 1.537), dyslipidaemia (0.638), heart failure (OR 1.518) and neurological symptoms suggestive of posterior fossa involvement (OR 2.639). The predictability was moderate (AUC 0.742, 95% CI: 0.737–0.747), with good visual calibration; Pearson’s chi-square test revealed non-significant calibration. An easily consulted risk score was prepared. Conclusions: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.
How do chief executive officers with pilot status navigate through corporate social responsibility?

ABSTRACT We investigate whether and how managerial risk-tolerance at the individual level affects corporate social responsibility (CSR) performance at company level. We use CEO aviation training as an observable ex-ante measure of CEO risk-tolerance. Contrary to a commonly held view, we show that firms led by CEOs with pilot status exhibit lower CSR performance. This finding holds even after controlling for CEO pay–performance incentives, military experience, overconfidence and other CEO and firm characteristics that prior studies document as affecting CSR performance. In further cross-sectional tests, we show that when a firm is R&D intensive, belongs to a high-tech industry, or faces fiercer product market competition, the negative effect of CEO risk-tolerance on CSR performance is more pronounced, suggesting that CSR may act as an insurance or risk-hedging tool. Overall, we provide evidence that risk-tolerance of CEO plays a significant role in shaping CSR performance.
Post-model-selection inference in linear regression models: An integrated review

The research on statistical inference after data-driven model selection can be traced as far back as Koopmans (1949). The intensive research on modern model selection methods for high-dimensional data over the past three decades revived the interest in statistical inference after model selection. In recent years, there has been a surge of articles on statistical inference after model selection and now a rather vast literature exists on this topic. Our manuscript aims at presenting a holistic review of post-model-selection inference in linear regression models, while also incorporating perspectives from high-dimensional inference in these models. We first give a simulated example motivating the necessity for valid statistical inference after model selection. We then provide theoretical insights explaining the phenomena observed in the example. This is done through a literature survey on the post-selection sampling distribution of regression parameter estimators and properties of coverage probabilities of näıve confidence intervals. Categorized according to two types of estimation targets, namely the populationand projection-based regression coefficients, we present a review of recent uncertainty assessment methods. We also discuss possible pros and cons for the confidence intervals constructed by different methods. MSC2020 subject classifications: Primary 62F25; secondary 62J07.
A Multivariate Approach to Study the Bacterial Diversity Associated to the Wooden Shelves Used for Aging Traditional Sicilian Cheeses

The present study was carried to correlate the microbial diversity of the biofilms developed on the wooden boards used for aging traditional Sicilian cheeses with cheese typology. To this end, the microbial diversity of the shelves in contact with the cheeses PDO Pecorino Siciliano, PDO Piacentinu Ennese, and TAP Caciocavallo Palermitano, during ripening, was evaluated by a multivariate statistical approach. The shelf biofilms of this study were previously analyzed for their microbial composition, but no correlation between biodiversity and cheese type was investigated. Canonical discriminant analysis confirmed a cheese typology effect on the microbial loads of the wooden shelves investigated. Regarding the plate count data, the centroids of different cheeses were statistically distant from one another. This analysis also showed a good graphic separation of data regarding bacterial order operational taxonomy units (OTUs). Thus, the microbiological differences imputed to the cheese typologies were not affected by the environmental conditions of the facilities. Furthermore, wooden shelf lactic acid bacteria (LAB) were investigated for their ability to inhibit the main dairy pathogens. Although inhibitors were mainly enterococci, P. pentosaceus WS287 and W. paramesenteroides WS581 showed the highest inhibition activity, indicating their possible application to control the undesired bacteria in situ.
Tuning Collective Plasmon Resonances of Femtosecond Laser-Printed Metasurface

The optical response of properly excited periodically arranged plasmonic nanostructures is known to demonstrate sharp resonance features associated with high-Q collective modes demanding for various applications in light–matter interaction, filtering and sensing. Meanwhile, practical realization and replication of plasmonic platforms supporting high-Q modes via scalable inexpensive lithography-free approach is still challenging. Here, we justify direct ablation-free irradiation of Si-supported thin Au film by nanojoule-energy femtosecond laser pulses as a single-step and scalable technology for realization of plasmonic metasurfaces supporting collective plasmonic response. Using an adjustable aperture to control and upscale the size of the fabricated nanostructures, nanobumps and nanojets, we demonstrated plasmonic metasurface supporting collective resonances with a moderately high Q-factor (up to 17) and amplitude (up to 45%) within expanded spectral range (1.4–4.5 µm). Vacuum deposition of thin films above the as-fabricated nanostructure arrays was demonstrated to provide fine tuning of the resonance position, also expanding the choice of available materials for realization of plasmonic designs with extended functionality.
Improving lexical errors in EFL writing by using software-mediated corrective feedback

This research aims at revisiting the role of software when it comes to providing learners with corrective feedback on their pieces of writing. The study, based on the analysis of handwritten and software-corrected versions of essays written by 33 undergraduate students enrolled in the undergraduate degree programme in English Studies at a Spanish University contributed to confirming the assumption that technology can indeed be a useful tool in the teaching and learning process. More specifically, this study demonstrated that students could reduce significantly the number of lexical errors in their essays through the autonomous use of error-correction software and that, over time, the students can improve on their ability to avoid such errors. Nevertheless, the study has also confirmed that software can in no way completely replace teachers, as computer programming is quite limited and there are errors that only proficient language users can detect and correct.
Characterizing the Separation and Reattachment of Suction Surface Boundary Layer in Low Pressure Turbine Using Massively Parallel Large Eddy Simulations

Characterizing the Separation and Reattachment of Suction Surface Boundary Layer in Low Pressure Turbine Using Massively Parallel Large Eddy Simulations. (December 2010) Shriram Jagannathan, B.Tech., National Institute of Technology, Tiruchirappalli Co–Chairs of Advisory Committee: Dr.Andrew Duggleby Dr.Taher Schobeiri The separation and reattachment of the suction surface boundary layer in a low pressure turbine is characterized using large-eddy simulation at Re=68,000 based on freestream velocity and suction surface length. A high pass filtered Smagorinsky model is used for modeling the sub-grid scales. The onset of time mean separation is at s/so = 0.61 and reattachment at s/so = 0.81, extending over 20% of the suction surface. The boundary layer is convectively unstable with a maximum reverse flow velocity of about 13% of freestream. The breakdown to turbulence occurs over a very short distance of suction surface which is followed by reattachment. Detailed investigations into the structure and kinematics of the bubble and turbulence statistics are presented. The vortex shed from the bubble, convects downstream and interacts with the trailing edge vortices increasing the turbulence intensity. On the suction side, dominant hairpin structures near the transitional and turbulent flow regime are observed. These hairpin vortices are carried by the freestream even downstream of the trailing edge of the blade with a possibility of reaching the next stage. Longitudinal streaks that evolve from the breakdown of hairpin vortices formed near the leading edge are observed on the pressure surface.
Generalisation of an averaged model approach to estimate the period-doubling bifurcation onset in power converters

The usual method of estimating the onset of bifurcation and studying non-linear phenomena in power electronic devices consists of defining the discrete-time model. This model provides more precise results than an averaged model. However, the discrete-time model cannot be developed easily for some particular systems. In this study, a continuous-time averaging model is developed for a boost converter in the continuous-conduction mode (CCM). This proposed model is used to obtain the eigenvalues of the system to predict the stable operation of the period-1 orbit. It is observed that the loss of the asymptotic stability of the proposed model corresponds to the onset of period-doubling bifurcation in the discrete-time model. The generalisation of this method is investigated by applying the proposed method to a DC active filter converter connected in parallel with a CCM boost converter. Using this model, it is possible to obtain the eigenvalues of the system to investigate robustness properties with regards to system parameter variations. To confirm the validity of the proposed method, simulation and experimental results are presented.
Digital Nursing Technology to Achieve Job Satisfaction: A Systematic Review

BACKGROUND: Technological advances are needed to provide nursing care for patients, however, there are still different perceptions of nurses in accepting its application in health care. This is because the use of these technologies can affect job satisfaction of nurses. AIM: This study aims to identify the digital technology in nursing and its effect on nurses’ job satisfaction. METHODS: This study used a systematic review method, where the articles are obtained on scientific databases such as PubMed, PubMed Central, Science Direct, Scopus, and Web of Sciences, that were published from 2019 to 2021. Meanwhile, the preferred reporting items were analyzed using Systematic Reviews and Meta-Analyses. RESULTS: Out of the 312 articles that were screened and checked, only 17 fulfill the eligibility criteria. The result showed that six articles were perceived as positive on the use of technology by nurses, six articles were positive and negative, and five articles were all negative. Furthermore, there were ten articles on technology information and communication, five on sensor technology, one article on the use of sensors and technology information, and another one article on technology. CONCLUSION: Nurses have a positive response because technology makes the completion of work easier, maintains patient safety where job satisfaction is affected, however, negative perceptions are the basis for solving the problems. Therefore, support from their leaders is required to motivate and create nurses’ awareness of technology to achieve patient safety goals and centered care.
Antagonism between western and Islamic cultures in Iranian English textbooks

Due to its worldwide usage, the necessity of teaching the English language is undeniable even in Islamic and religious countries like Iran. However, in order to avoid ‘cultural invasion’, the Iranian government decided to ban teaching English in the official curriculum of primary schools and asked a team of experts chosen by the Organization for Educational Research and Planning to design localized English textbooks for students in K12. Thus, in response to curriculum changes and the vital role of textbooks in language education, a plethora of Iranian scholars quantitively investigated the locally designed textbooks in language education focusing on objectives, content, culture, gender representation, and improvement of students’ language skills. However, the previous literature does not consider the role of visual content in transmitting the target language culture. Thus, in this study, we investigated the cultural references and cultural dimensions of visual content representation in two series of English language textbooks called ‘English for Schools’ (Prospect 1-3 and Vision 1-3). Due to the nature of the study, we applied qualitative visual content analysis for grouping and categorizing data. The analysis of the visual content of the textbooks revealed that the utmost portion of all six books has been devoted to
Facilitators of and Barriers to Successful Implementation of the One Key Question® Pregnancy Intention Screening Tool

Background: One Key Question® (OKQ) is a tool that embeds a patient-centered screening into routine visits with the goal of making pregnancy intention screening universal, but widespread implementation has not yet been adopted. We aimed to explore the barriers and facilitators of OKQ implementation to better understand how to best implement the tool across different settings. Methods: We invited staff and clinicians from one obstetrics and gynecology clinic and one family medicine clinic, which previously implemented OKQ, to complete surveys and qualitative interviews about their experiences with the tool. The interview guide and thematic analysis of the interview transcripts were informed by the Consolidated Framework for Implementation Research (CFIR). Main Findings: Major facilitators of OKQ implementation are the simplicity of the tool, engagement of clinic leadership, and compatibility between the perceived goals of the tool and those of practice staff and clinicians. Although participants indicated that OKQ had a minimal impact on clinic workflow during its implementation, preimplementation time concerns were a major barrier to implementation in both clinics. Barriers seen in the family medicine practice included OKQ distracting from the visit agenda, and concerns about the OKQ gold standard protocol of screening each patient at every visit. Participants even suggested asking OKQ only during annual check-up appointments. Conclusions: The perceived alignment between the tool's goals and those of clinic stakeholders was an important facilitator of OKQ implementation success. However, characteristics of the clinic setting, such as competing medical priorities and time constraints, influenced initial attitudes toward the feasibility of the intervention. Clinical Trial Registration Number: NCT03947788
Larvicidal Activities and Synergistic Effects of Essential Oils against Anopheles funestus and Culex quinquefasciatus (Diptera: Culicidae) from Kisumu, Kenya

Rapid development of resistance in vector mosquitoes to synthetic insecticides is a major challenge for malaria control. The use of plant-derived essential oils (EOs) is an attractive strategy in controlling mosquito populations because they are environmentally safe and may have a lower chance of developing resistance. This study assessed the larvicidal activities of EOs from Lantana camara, Lippia multiflora, Lippia chevalieri, and Cymbopogon schoenanthus against Anopheles funestus and Culex quinquefasciatus. The 3rd–4th instar larvae were tested using a World Health Organization (WHO)-modified protocol to evaluate larval mortality 24 h after exposure to EOs and their binary combinations. Culex quinquefasciatus larvae were more susceptible to EOs than An. funestus larvae. For Cx. quinquefasciatus, the lethal concentrations at 50% mortality (LC50s) of EOs from C. schoenanthus, L. multiflora, L. camara, and L. chevalieri were 23.32, 27.24, 38.54, and 54.11 ppm, respectively; whereas for An. funestus, the EO LC50s were 120.5, 67.5, 49.21, and 105.74 ppm, respectively. Synergistic effects were observed using EOs from C. schoenanthus + L. multiflora (LC50 = 44.05 ppm) on An. funestus, while L. camara + L. chevalieri (LC50 = 33.16 ppm), L. chevalieri + C. schoenanthus (LC50 = 12.08 ppm), and L. multiflora + L. chevalieri (LC50 = 20.61 ppm) were synergistic for Cx. quinquefasciatus. These results indicate the potential of EOs derived from local plants and their binary combinations as botanical larvicides. The EOs could be used as future ecofriendly agents to control these vectors.
Culture and corruption: An experimental comparison of cultural patterns on the corruption propensity in Poland and Russia

The development of effective anti-corruption measures relies on a sound understanding of underlying country-specific cultural patterns of corruption. However, finding these patterns faces the problem of ecological fallacies when tracing back the results of comparative macro-studies to the national level or of using ex-post explanations for cultural variances in experimental research designs. Thus, we ask how cultural patterns can explain country differences in the propensity to act corrupt without neglecting the aforementioned problems. Based on institutional theory, we model path-dependent cultural patterns at the macro, meso and micro levels promoting propensity to act corrupt in Poland and Russia. The results of experimental data gathered from students in Poland and Russia show that the extent to which legal nihilism and ethical dualism are institutionalized at the macro level, as well as the micro factors of gender-specific socialization and studying law, has a significant effect on the propensity to act corrupt.