Miracle-dz/UniFAR-FTUs huggingface dataset:
PERITRAUMATIC DISTRESS INVENTORY IN THE COURSE OF THE COVID-19 PANDEMIC

The context of the present study was the COVID-19 pandemic, which has become an unprecedented global health emergency inducing a considerable degree of uncertainty, fear, concern, and worry. Peritraumatic reactions may contribute to the development of Acute Post-traumatic Stress Disorder (PTSD) and the prediction of full PTSD. The aim of this study was to validate the Peritraumatic Distress Inventory (PDI) in a Greek sample during the outbreak of COVID-19 pandemic and explore its association with PTSD as assessed by PTSD-8. A total of 2,827 patients completed the PDI along with validated scales measuring post-traumatic, anxiety and depressive symptoms. CFA confirmed both the unifactorial model, with modest fit, and the bifactorial model of PDI with acceptable fit in the Greek sample. The threeand the four-factor models were not supported. Overall, the scale demonstrated good psychometric properties in the Greek population and can be considered a useful instrument to assess elevated stress during traumatic crises.
PROJECT ( A 21 st Century Center of Excellence Project ) KUMQRP DISCUSSION PAPER SERIES DP 2003-14 On the Commitment Motive of the Demand for Illiquid Securitie s

This study develops a method for decomposing the demand for illiquid securities into the commitment motive and the interest motive, and characterizes the commitment motive by the interest rate and the degree of time inconsistency. * Graduate School of Economics, Keio University Faculty of Economics and Faculty of Business and Commerce, Keio University 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan On the Commitment Motive of the Demand for Illiquid Securities Takasi Komatubara∗† Graduate School of Economics Keio University
/ Information Clues in Topical Web Searches : Is the Web Message Getting Through

This article discusses the construct of learning ‘community’ for educators and proceeds to examine fundamental issues around the theory and practice of constructing learning communities using communication technologies (virtual learning communities). This concept of community asks the reader to ponder some possible shapes virtual learning communities could take in the future, and the contribution that communication technologies c a n make to designing powerful learning environments. Résumé: Cet article débute avec une discussion de la notion d’une «communauté» d’apprentissage pour les enseignants, pour ensuite passer a l’examen de questions fondamentales entourant la théorie et la pratique de la construction de communautés d’apprentissage reposant sur la technologie des commumcations (des communautés virtuelles technologtsées) Ce concept dc communauté pousse le lecteur à réfléchir aux formes possibles que pourraient adopter ces communautés virtuelles technologtsées a l’avenu. ainsi qu’a la contribution que la technologie des communications pourrait apporter à la conception de milieux d‘apprentissage fertiles. A Definition of Learning Community Communities are collections of individuals who are bound together by shared ideologies and will, SO a learning community emerges when people are drawn together to learn. Although learning communities emphasize outcomes in education, their power resides in their ability to take advantage of, and in some cases, invent a process for learning. In Nichomachean Ethics, Aristotle explains that community is not SO much about unity as it is about harmony (Aristotle cited in Porter, 1997, p. 135). Harmony can exist within social, religious, political and moral frameworks, and as a result, communities can emphasize one or more of these dimensions. This definition of a learning community is partly woven from Kantian principles emphasizing that people operate from a rational, autonomous will, both as individuals and within groups. Individuals within a learning community (including students, teachers and administrators) have a will to do what is “right” and “good” in accordance with agreed values and ethical principles. For example, if a shared principle is to respect individuals, members of learning communities might attack ideas vigorously, but avoid personal attacks. These relationships exemplify moral reasoning, not instrumental reason. Kantian principles suggest that a learning community emerges when the "I" considers the “We” (Honderich, 1995, p. 439) and this is dependent on open discourse among participants and underlying principles (e.g.freedom to take risks, unconditional acceptance, shared Canadian Journal of Educational Communication, VOL 26, NO. 1, PAGES I12, ISSN 0710-4340
Total Acid Number Determination in Residues of Crude Oil Distillation Using ATR-FTIR and Variable Selection by Chemometric Methods

The total acid number (TAN) was determined in the atmospheric residue (AR) and vacuum residue (VR) of the petroleum distillation process using mid-infrared spectroscopy with attenuated total reflection in association with chemometric methods. Calibration and prediction sets consisted of 44 and 13 samples, respectively (16 AR samples and 41 VR samples). Calibration models were developed using three variable-selection models: interval partial least squares (iPLS), synergy interval partial least squares (siPLS), and backward interval partial least squares (biPLS). Different treatments and preprocessing steps were also evaluated for development of the models. The treatment based on the first derivative with a Savitzky−Golay filter and the mean centered was selected for model construction. A root-mean-square error of prediction of 0.164 mg g−1 of KOH was achieved using the biPLS algorithm with spectra divided into 20 intervals and combinations of 5 intervals (2992−2826, 1823−1657, 1656−1490, 1489−1323, and 821.
Ultrasound Coupled with Fenton Oxidation Pre-Treatment of Sludge to Release Organic Carbon, Nitrogen and Phosphorus

We focused on the effects of ultrasound and Fenton reagent in ultrasonic coupling Fenton oxidation (U+F) pre-treatment processes on the disintegration of wastewater treatment plant sludge. The results demonstrated that U+F treatment could significantly increase SCOD, TOC, total N, proteins, total P and PO43- concentrations in sludge supernatant. This method was more effective than ultrasonic (U) or Fenton oxidation (F) treatment alone. U+F treatment increased the SCOD by 2.1-and 1.4-fold compared with U and F alone, respectively. U+F treatment increased the total N and P by 1.7-and 2.2-fold, respectively, compared with F alone. This demonstrated that U+F treatment induces disintegration of sludge and release of organic carbon, nitrogen and phosphorus better.
Genomic epidemiologic assessment implicates prolonged silent carriage, virulence factors and transmission between staff and patients in a NICU outbreak of MRSA.

Introduction: Methicillin-resistant Staphylococcus aureus (MRSA) is an important pathogen in neonatal intensive care units (NICU) that carries significant morbidity and mortality. Improving our understanding of MRSA transmission dynamics, especially among high risk patients, is an infection prevention priority. Methods: We investigated a cluster of clinical MRSA cases in the NICU using a combination of epidemiologic review and whole genome sequencing (WGS) of isolates from clinical and surveillance cultures obtained from patients and healthcare personnel (HCP). Results: Phylogenetic analysis identified two genetically distinct phylogenetic clades and revealed multiple silent transmission events between HCP and infants. The predominant outbreak strain harbored multiple virulence factors. Epidemiologic investigation and genomic analysis identified a HCP colonized with the dominant MRSA outbreak strain who cared for the majority of NICU patients who were infected or colonized with the same strain, including one NICU patient with severe infection seven months before the described outbreak. These results guided implementation of infection prevention interventions that prevented further transmission events. Conclusion: Silent transmission of MRSA between HCP and NICU patients likely contributed to a NICU outbreak involving a virulent MRSA strain. WGS enabled data-driven decision making to inform implementation of infection control policies that mitigated the outbreak. Prospective WGS coupled with epidemiologic analysis can be used to detect transmission events and prompt early implementation of control strategies.
Large-Vocabulary Continuous Speech Recognition

2 Overview of a speech recognition system 2 2.1 Speech concepts . 2 2.2 Broad overview . 2 2.3 Decoder . 3 2.4 Phonetic dictionary . 4 2.5 Acoustic model . 5
Multi-Symbol L A TEX Conversion

We propose a system of deep neural network models that convert handwritten LaTeX into the corresponding symbol form. In this paper, we train both VGG-16 and ResNet50 PyTorch [4] implementations over various numbers of symbol classes on the LaTeX classiﬁcation task. We ﬁnd that top-1 accuracy decreases signiﬁcantly as the number of classes increases, potentially due to the similarity of symbols, but top-5 accuracy remains strong. We also analyze performance on sequences of symbols that a user may typically enter into a system and ﬁnd that sequences with unique symbols are predicted accurately.
Transformations towards food sustainability using the participatory Food Sustainability Assessment Framework (FoodSAF)

We are facing a global food crisis: the percentage of people with malnutrition are increasing, along with devastating results for the social-ecological environments, showing the unsustainability of the currently dominant food systems. The complex set of food-related problems requires multidimensional perspectives, using interand transdisciplinary methodologies, to address social-ecological aspects over a mere focus on productivity. This article introduces a hands-on Food Sustainability Assessment Framework (FoodSAF) that allows non-academic actors to identify pathways for making food systems more sustainable through collective transformations in a “spiral of change”. The emphasis is on making the concept of “food sustainability” operational and applicable, by exploring transdisciplinary methodologies, encourage genuine participation of actors at the local level, and elevate their solutions in the direction of decision-making spaces, where policy makers have a key role in supporting change. The results provide evidence-based scientific knowledge for the promotion of innovation strategies and policy options that improve the sustainability of food systems with the specific aim of strengthening local food systems in a long-term process to co-create transformations.
An Approach of Applying Machine Learning Model in Flight Delay Prediction- A Comparative Analysis

Flight delay is a major issue in the aviation industry. In commercial aviation, if a flight reaches its destination 15 minutes later than the scheduled arrival, it is said to be delayed. Flight delays cause a great deal of bother to travelers. It could make them late to their booked occasions or miss a corresponding flight, accordingly prompting outrage and dissatisfaction. Likewise, travelers may not generally be entitled for a refund when a postponement happens. Carriers report that couple of the numerous reasons prompting most flight delays are carrier glitches, climate conditions, support issues with the airplane and congestion in air traffic. Rapid development in airline industry has led to an increased number of aircrafts in the skies, this has brought about air-gridlock causing flight delays. Flight delays are not only extremely undesirable financially but also have adverse environmental effects. Air-traffic management is becoming increasingly challenging. The aim of our research work is to predict the delay of flights due to various factors using machine learning and deep learning so as to minimize losses and increase customer satisfaction. This Machine Learning model could be integrated with Airlines systems for the use of staff and customers and it could also rank Airlines and flights based on delays. Key-words: Flight, Delay, Machine Learning, Algorithms, Naïve Bayes, SVM, Decision Trees.
Performance of Female Volleyball Players in VO2max

Aims: In volleyball the main achievement is winning the match so the tools and methods used during the training sessions are very important to achieve this goal. Purpose of the study is the identification of volleyball players in the development performance of i VO2max. Method: Test Astrand was used to evaluate VO2max in 75 female volleyball players in the average age of 17.1 years of the Albanian championship in two different periods _Pre and _Post mini phase of their training in the respective teams. Anthropometric measurements BH, BW, BMI and Astrand test were developed. Results; showed a positive value of progress from Pre-test to Post-test of volleyball players. There was a correlation between the maximum heart rate per minute and the maximum intake 021 / min, Maximum heart rate per minute and MaxV02 intake ml / kg / min in the post test, which showed a negative correlation, but the results are not significant at p≤0.05. The comparison of the test before and after did not mark a significant. Conclusion: It was noted that the training of volleyball players was aimed at strength. Strength training has made the only positive contribution to this type of improvement. Our study shows that the correlation between strength training and performance improvement of maximum VO2max results of laboratory values compared to the good part of them were significant. The impact of strength training can not be said to be a primary indicator but a secondary indicator in VO2max performance.
Reactivity of Perovskites with Water: Role of Hydroxylation in Wetting and Implications for Oxygen Electrocatalysis

Oxides are instrumental to applications such as catalysis, sensing, and wetting, where the reactivity with water can greatly influence their functionalities. We find that the coverage of hydroxyls (*OH) measured at fixed relative humidity trends with the electron-donor (basic) character of wetted perovskite oxide surfaces. Using ambient pressure X-ray photoelectron spectroscopy, we report that the affinity toward hydroxylation, coincident with strong adsorption energies calculated for dissociated water and hydroxyl groups, leads to strong H bonding that is favorable for wetting while detrimental to catalysis of the oxygen reduction reaction (ORR). Our findings provide novel insights into the coupling between wetting and catalytic activity and suggest that catalyst hydrophobicity should be considered in aqueous oxygen electrocatalysis.
ASSESSMENT OF SERUM LIPID PROFILE AND ITS ASSOCIATION WITH CHRONIC PERIODONTITIS- A CLINICO-BIOCHEMICAL STUDY

Aim: Aim of the present study was to evaluate the association of serum lipid profile in patients with chronic periodontitis. Materials and Methods: The study sample constituted 60 patients (males & females) in the age range of 30 to 50 years. The enrolled patients were allocated in one of the following two groups having 30 participants each: Group A: Individuals without periodontitis, Group B: Individuals with chronic periodontitis. Various periodontal factors such as plaque index, gingival index and pocket depth on probing and clinical attachment levels were documented. Employing a sterilized syringe, 2 ml of IV blood was taken from every patient’s antecubital vein and released into a vacutainer, following which it was subjected to lab analysis of complete lipid profile including the total cholesterol (TC), triglyceride (TGL), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), very low density lipoprotein levels (VLDL). Results: Group A (without periodontitis) demonstrated a mean plaque index score of 0.96±0.10 and a gingival index of 0.84±0.28. Group B (with chronic periodontitis) had a mean plaque index score was 1.76±0.86, gingival index of 1.82±0.52. The pocket depth on probing was 5.24±0.22 with a clinical attachment level of 4.80±0.74. In Group B with chronic periodontal disease, the serum lipid profile was noted to be higher. In this group the serum lipid levels were as follows: TC (224.33±13.64), TGL (118.64±10.56), HDL (40.08±10.12), LDL (156.67±10.42), VLDL (28.82±5.12). In Group A without periodontitis, the serum lipid levels were TC (152.24±8.52), TGL (83.40±6.30), HDL (46.39±8.44), LDL (71.27±9.20), VLDL (13.45±7.31). The difference between the two groups was statistically significant. Conclusion: This study concludes that high serum lipid profile levels were noted in the group with chronic periodontitis in contrast to the healthy individuals thereby posing as risk for hyperlipidemia within the confines of the inherent limitations of this research.
Converse categorization strategies

Abstract The categorization alluded to in the title is the assignment of a class of concepts to a lexeme class and/or a syntactic category. The purpose of the paper is to establish converseness of strategies of categorization among languages as a typological concept. It is argued that, quite in general, coding strategies in a given functional domain may be oriented in opposite directions across languages. Particular attention will be paid to the relationship between basic/lexical categorization and derived/syntactic categorization. A particular kind of converseness is produced by the alternative of basically lexicalizing some concept in grammatical category Ci and transferring it into category Cj by derivational or grammatical operations, or vice versa. The chief empirical domain to illustrate the principle is the categorization of dynamic relational concepts as verbs vs. non-verbs, the latter paired with prominence of light-verb constructions in the grammar. A couple of other functional domains susceptible of the same kind of analysis are analyzed more summarily. Whenever the elements of a certain conceptual field or functional domain are uniformly lexicalized in some particular category, this is typically coupled with a regular operation of recategorization into its complementary category. In such cases, both the basic category assignment and the presence of the operation shape the structure of sentences and of texts in the language.
Downward Power Consolidation and Public Investment: Theory and Evidence from China

What determines the dynamic patterns of local public investment in authoritarian countries? We analyze a unique dataset that matches public-private partnership (PPP) projects with Chinese mayors who served from 2010 to 2017, and document a robust tenure effect in public investment. Mayors decrease public investment over time during their tenure. We propose a theory of downward power consolidation for this tenure effect, and argue that mayors prioritize downward benefit distribution using PPP investment to consolidate power. We provide evidence for this hypothesis. Contract-level evidence shows that mayors allocate proportionally more investment to local firms, particularly local state-owned enterprises. Moreover, the tenure effect becomes more salient among mayors who lack local work experience or patronage connections with upper-level officials.
Explainable fintech lending

Lending to Small and Medium Enterprises (SME) is facilitated by the availability of advanced Machine Learning (ML) methods, embedded in financial technologies, which can accurately predict financial performance from the many data sources available. However, despite their high predictive accuracy, ML models may not provide sufficient explanations to investors and, therefore, may not be adequate for informed decision-making. We propose a financial machine learning model that is both accurate and explainable. To reach this aim, we propose to enhance random forest models with a model selection procedure that progressively removes the least explainable variable, according to the Shapley value method. We apply our proposal to 2,049 SMEs for which yearly financial performance indicators are available. Our results show that both the default and the expected return of SMEs can be well predicted and explained by a small set of indicators deduced from their balance sheets.
Antibiofilm Activity of an Antimicrobial Peptide

This research paper focuses on the biofilm formation can be inhibited on treatment with Supra MIC, MIC and Sub MIC of peptide in different incubation time. Supra MIC of peptide is more potent to eradicate biofilm than MIC and Sub MIC of peptide. The percentage of biofilm concentration gradually decreased when treated with Supra MIC and MIC of peptide in 24 hours, 48 hours and 72 hours. Peptides are involved in many biochemical processes and physiological functions in human and other organisms. Within last few years therapeutic peptides are emerged and expanded rapidly relative to overall drugs in the global market.
Studies on the effect of heavy metal pollution on Pistia statiotes L. (water lettuce)

Pistia stratiotes L. plants were treated with 5-100 ppm of Copper and Cadmium solutions for 72 hours. The plants were able to absorb 68% of Cu, 63% of Cd at high concentrations of 100 ppm. In Pistia 8.5 ± 0.5mg Cd, 16.0 ± 2.0 mg Cu in leaves and 30.0 ± 5.0 mg Cd, 45.0 ± 5.0 mg Cu in roots were accumulated after 72 hours exposure. The accumulation of metal ions in the roots was more than that in the leaves. Chlorophyll, Sugar and Protein contents were decreased with Cu, and Cd treatment, while phenol content and enzyme activities varied differently.
This information is current as Function Innate Lymphoid Cell Homeostasis and Taming the Beast within : Regulation of

Print ISSN: 0022-1767 Online ISSN: 1550-6606. Immunologists, Inc. All rights reserved. Copyright © 2013 by The American Association of 9650 Rockville Pike, Bethesda, MD 20814-3994. The American Association of Immunologists, Inc., is published twice each month by The Journal of Immunology at U niersity of V irinia H ealth Scences L irary on N ovem er 6, 2013 hp://w w w jim m unl.org/ D ow nladed from
NIIN As an Ohmic Contact to P-GAN

Based on the criteria for the solid state exchange reaction with p-GaN, we have investigated the intermetallic compound NiIn as a possible ohmic contact. The contacts were fabricated by depositing NiIn on p-GaN films (p ∼ 2 × 1017 cm−3) using RF sputtering from a compound target. The as-deposited, NiIn contacts were found to be rectifying and using I-V characterization a Schottky barrier height of 0.82 eV was measured. Rapid thermal annealing of the contacts was shown to significantly decrease their resistance, with contacts annealed at 800 °C for 1 min yielding the lowest resistance. When annealed at 800 °C for 1 min NiIn contacts exhibited a specific contact resistance of 8-9 × 10−3 Ω cm2 as measured by the circular transmission line model. To allow a more universal comparison the more traditional Ni/Au contacts, processed under the same conditions, were used as a standard. Their measured specific contact resistance (ρc = 1.2 − 2.1 × 10−2 Ωcm2) was significantly higher than that of the NiIn contacts. Demonstrating that NiIn has promise as an ohmic contact to p-GaN and should be studied in greater detail.