Miracle-dz/UniFAR-FTUs huggingface dataset:
Production and chemical composition of Mentha x piperita var. citrata (Ehrh.) Briq. essential oil regarding to different potassium concentrations in the hydroponic solution

This work aimed to evaluate the production of fresh and dry mass of leaves, stems and aerial parts, and the contentand quality of lemon mint (Mentha x piperita var. citrata) essential oil as a result of four potassium (K)concentrations (276, 414, 552 and 690 mg.L-1) under hydroponic solutions. The experiment was carried out in thehydroponic NFT (Nutrient Film Technique) system. Leaves were separated and weighted to determine the freshmass and part of them was used to extract oil in a Clevenger apparatus. The analysis of the oil chemicalcomposition was performed in a gas chromatograph fitted with a mass spectrometer. The estimated concentrationfor the maximum fresh mass production of the leaves corresponded to 384 mg.L-1 K. The greatest K concentrationproportionated an increase in essential oil content and yield per plant, but decreased linalool and linalyl acetate inthe oil. Under the conditions the experiment was carried out, in order to obtain an adequate quantity of leaves for ahigher essential oil yield per plant and linalool and linalyl acetate accumulus, the K concentration of 414 mg.L-1 isrecommended in the hydroponic solution for the cultivation of lemon mint.Key-words: Mint, Lamiaceae, hydroponic cultivation, linalool, linalyl acetate, medicinal plant.
What Do Compressed Deep Neural Networks Forget

Deep neural network pruning and quantization techniques have demonstrated it is possible to achieve high levels of compression with surprisingly little degradation to test set accuracy. However, this measure of performance conceals significant differences in how different classes and images are impacted by model compression techniques. We find that models with radically different numbers of weights have comparable top-line performance metrics but diverge considerably in behavior on a narrow subset of the dataset. This small subset of data points, which we term Pruning Identified Exemplars (PIEs) are systematically more impacted by the introduction of sparsity. Compression disproportionately impacts model performance on the underrepresented long-tail of the data distribution. PIEs over-index on atypical or noisy images that are far more challenging for both humans and algorithms to classify. Our work provides intuition into the role of capacity in deep neural networks and the trade-offs incurred by compression. An understanding of this disparate impact is critical given the widespread deployment of compressed models in the wild.
Rethinking Expertise

Second, communication within the audience segments is repeatedly acknowledged as the basis of transformation of labeled sets into classes, types into categories, and concepts into forms. One needs to clarify this communication process, describe it, and understand it. Prior ecological works presumed that the classification task was incumbent to the observer, raising questions about the validity, existence, and durability of the categories and forms (e.g., Durand 2006). Undoubtedly, the formalization of diverse audiences’ comparative categorization proposed in the book represents a major reconceptualization, but the societal hierarchies, verticalities, and conflicts need to be part of the communication basis. Third, although the fourth part of the book deals with organizational change, loyal to the core assumptions of ecology theory, the organizations and their spokespersons do not seem able to influence the evolution of the fields, industries, or populations. Organizations hardly possess intentions, governance characteristics, or market and non-market resources to do better than adapt a multimeaning multi-audience reality, to wit to shape, carve, and influence the very selection criteria that rule the fields where they operate. Finally, more than the possibility of categorization, the ontological nature of forms and population is a question looming around the entire population ecology story, old and new style. Yesterday imposed by the ecologist as erudite observer, today forms and populations are “decentralized” to audiences. This displacement fills a caveat of the former version of population ecology. The next question worth investigation nevertheless lies in the epistemological nature and ontological status of concepts, categories, forms, and populations. Does the linguistic turn of organizational ecology open the Pandora’s box for a neo-constructivism, a post-realism about forms and populations? Organizational ecologists have long avoided the too-human considerations of politics and ideologies. However, the decentralization of categorization processes, the evanescence of group membership, and the importance given to (social and cultural) codes imply that beliefs, causal associations, and discursive elaboration are to integrate the newly refounded ecological corpus. Overall, I applaud the conceptual details, thorough definitions, and meticulous demonstrations of this book. Readers of the book will appreciate differently this new theorization of known themes, from full acceptance to some resistance. One may regret certain minimal or backhanded references to extant literature (in particular on social categorization, status construction, and organizational identity). One may reject premises (having a more political theory of legitimacy, a more controversial social positioning of audiences, and a more classificatory argument of audiences’ habitus). But everyone can make up their mind by reading and appreciating the conceptual qualities of this book.
Forecasting GDP Movements in Nepal Using Autoregressive Integrated Moving Average (ARIMA) Modelling Process

Article History Received 23 Oct 2019 Reviewed 15 Nov 2019 Revised 25 Nov 2019 Accepted 05 Dec 2019 Abstract This study attempts to test the ARIMA model and forecast annual time series of GDP in Nepal from midJuly, 1960 to mid-July, 2018. The annual time series on GDP used in this study consists of total 59 observations. Out of them, three years’ data from mid-July 2016 to mid-July 2018 have been used for in-sample forecasting and evaluation. The study uses univariate Box-Jenkins ARIMA modelling process to identify the best fitted model that describes the sample data set. The study examines a number of ARIMA family models and recommends ARIMA (0,1,2) as the most appropriate model that best describes the annual GDP series of the sampled period. The ARIMA (0, 1, 2) model incorporates zero lag order for autoregression, integrated with 2 lag order for moving average model using first difference operator. The ARIMA model forecasts documented in this study are not significantly different from actual because the actual annual GDP series observed in forecast period fall within 95 per cent confidence interval of estimates. Hence, ARIMA (0,1,2) model can best capture the GDP movement in Nepal for the sample period.
Quantum dynamics and magneto-structural correlations in molecule based magnets

The synthesis and study of magnetic nanostructures is of both intense scientific and technological interest. A single-molecule magnet (SMM) is a molecular nanomagnet that can be magnetized as a result of having a large spin ground state that experiences appreciable magnetoanisotropy, which leads to a thermodynamic barrier between spin-up and spin-down orientations. The monodisperse nature (same size, shape and anisotropy) of SMMs permits detailed studies of the magnetization and quantum dynamics of nanomagnets. The discovery of SMMs permitted, for the first time, detailed study of quantum effects associated with nanomagnets. The magnetic and quantum properties of these complexes is heavily dictated by molecular and crystal symmetry, and paramount to employing these systems as devices is a need to thoroughly understand and control environmental factors that govern their magnetization and quantum dynamics. To some extent this can be achieved by changing or eliminating co- crystallized solvate molecules and interchanging coordinated peripheral ligands. Magnetic and thermodynamic studies were carried out on a high symmetry system that exhibits a large spin ground state (S =51/2), a preferred orientation in an applied magnetic field, and slow magnetization relaxation dynamics. Strong competing magnetic exchange coupling between paramagnetic copper and manganese ions, in conjunction with high symmetry, gives rise to appreciable spin-frustration and geometric- frustration. These correlated effects lead to slow magnetization relaxation behavior. Detailed magnetization and thermodynamic studies were performed on a series of tetranuclear nickel complexes that exhibit fast magnetization tunneling and magnetic ordering. Magnetic ordering is a collective process that should drastically suppress or terminate quantum tunneling processes. It is revealed that even in an ordered state, the molecules within the crystal lattice act as single domains, thus, molecules quickly switch between magnetic ordering and single-domain quantum tunneling. A series/family of multifunctional tetranuclear manganese SMMs (magnetic and photoluminescent) were synthesized that systematically differ in co-crystallized solvate molecules and peripheral organic ligands to study magneto-structural correlation effects and quantum tunneling of magnetization. The goal is to couple emissive excited states to the magnetic moment of the SMM, which may allow, for the first time, detailed study of quantum dynamics on a 10⁻⁹-10⁻¹²s time scale
Source resolution of polycyclic aromatic hydrocarbons in the Los Angeles atmosphere: application of a chemical species balance method with first order chemical decay. Final report Jan-Dec 80

The chemical mass balance method which was originally developed for source resolution of chemical elements was extended in this study to chemically reactive compounds in atmospheric aerosols. The basic theoretical equation was reformulated to incorporate atmospheric decay factors for reactive species. The method was tested with selected polycyclic aromatic hydrocarbons (PAH) using source emission data and atmospheric concentrations reported in the literature. Absolute atmospheric concentrations of coronene, benzo(a)pyrene, benzo(e)pyrene, benzo(ghi)pyrene, and anthanthrene measured at 13 sites in the Los Angeles basin were apportioned between automobile and refinery emission sources. Refinery emission patterns of PAH in the Los Angeles basin were computed from an analysis of auto emissions data and ambient data from a refinery area. Rates of atmospheric degradation of the PAH were calculated from an analysis of auto emission and ambient air data. Literature reports on major emissions of PAH from combustion sources were reviewed and evaluated.
Profil Berpikir Relasional Mahasiswa Dalam Menyelesaikan Masalah Matematika

Berpikir relasional memiliki beberapa indikator yang berdasarkan polya yaitu mulai dari memahami masalah, merencanakan pemecahan masalah, melaksanakan rencana pemecahan masalah dan memeriksa kembali hasil pemecahan masalah. Tujuan dari penelitian ini adalah untuk mengetahui gambaran secara terperinci tentang berpikir relasional dalam menyelesaikan masalah matematika. Jenis penelitian ini adalah penelitian kualitatif. Subjek dipilih berdasarkan hasil tes pemecahan masalah. Metode pengumpulan data yang digunakan adalah observasi selama pembelajaran, tes dan wawancara mendalam. Instrumen penelitian adalah tes diagnostik dan pedoman wawancara. Analisis data dalam penelitian ini adalah analisis deskriptif kualitatif. Teknik analisis data yang digunakan adalah reduksi data, penyajian data dan penarikan kesimpulan dan kebsahan data. Data yang dianalisis adalah data hasil tes dan hasil wawancara mendalam yang digunakan untuk mendeskripsikan proses berpikir relasional dalam pemecahan masalah. Hasil yang didapatkan pada penelitian ini adalah pendeskripsian berpikir relasional mahasiswa dalam pemecahan masalah. Kata kunci : Berpikir Relasional, Pemecahan Masalah
Test case generation for Symbolic Distributed System Models : Application to Trickle based IoT Protocol (Génération de cas de test pour les modèles symboliques de système distribués : Application au protocole IoT à base de Trickle)

Les systemes distribues sont composes de nombreux sous-systemes distants les uns des autres. Afin de realiser une meme tâche, les sous-systemes communiquent a la fois avec l’environnement par des messages externes et avec d’autres sous-systemes par des messages internes, via un reseau de communication. En pratique, les systemes distribues mettent en jeu plusieurs types d’erreurs, propres aux sous-systemes les constituant, ou en lien avec les communications internes. Afin de s’assurer de leur bon fonctionnement, savoir tester de tels systemes est essentiel. Cependant, il est tres complique de les tester car sans horloge globale, les sous-systemes ne peuvent pas facilement synchroniser leurs envois de messages, ce qui explique l’existence des situations non deterministes. Le test a base de modeles (MBT) est une approche qui consiste a verifier si le comportement d’un systeme sous test (SUT) est conforme a son modele, qui specifie les comportements souhaites. MBT comprend deux etapes principales: la generation de cas de test et le calcul de verdict. Dans cette these, nous nous interessons a la generation de cas de test dans les systemes distribues. Nous utilisons les systemes de transition symbolique temporise a entrees et sorties (TIOSTS) et les analysons a l’aide des techniques d’execution symbolique pour obtenir les comportements symboliques du systeme distribue. Dans notre approche, l’architecture de test permet d’observer au niveau de chaque soussysteme a la fois les messages externes emis vers l’environnement et les messages internes recus et envoyes. Notre framework de test comprend plusieurs etapes: selectionner un objectif de test global, defini comme un comportement particulier exhibe par execution symbolique, projeter l’objectif de test global sur chaque sous-systeme pour obtenir des objectifs de test locaux, deriver des cas de test unitaires pour chacun des sous-systemes. L’execution du test consiste a executer des cas de test locaux sur les sous-systemes parametres par les objectifs de tests en calculant a la volee les donnees de test a soumettre au sous-systeme en fonction de donnees observees. Enfin, nous mettons en œuvre notre approche sur un cas d’etude decrivant un protocole utilise dans le contexte de l’IoT.
The use and adherence of oral anticoagulants in Primary Healthcare in Catalunya: a real-world data cohort study

Background The use of direct oral anticoagulants (DOAC) for stroke prevention in non-valvular atrial fibrillation (NVAF) has not been previously assessed in our setting. We aimed to describe sociodemographic, comorbidities, co-medication and risk of thromboembolic events and bleeding in patients with NVAF initiating oral anticoagulants (OAC) for stroke prevention, and to estimate adherence and persistence to OAC.Methods Population-based cohort study including all NVAF adult patients initiating OAC for stroke prevention in August 2013-December 2015. Persistence was measured in patients initiating OAC in August 2013-December 2014. Data source is SIDIAP, which captures electronic health records from Primary Health Care in the Catalan Health Institute, covering approximately 5.8 million people.Results 51,690 NVAF patients initiated OAC; 47,197 (91.3%) were naive to OAC and 32,404 initiated acenocoumarol (62.7%). Mean age was 72.8 years (SD 12.3) and 49.4% were women. Platelet-aggregation inhibitors were taken by 9,105 (17.6%) of the patients. For 22,075 patients, persistence was higher among the non-naive patients [n=258 (61.7%)] than among the naive [n=11,502 (53.1%)]. Adherence was estimated for patients initiating DOAC and was similar in naive and non-naive patients. Among the naive to DOAC treatment, those starting rivaroxaban showed a highest proportion [(n=360 (80.1%)] of good adherence at implementation (MPR>80%) while patients starting dabigatran were less adherent [n= 203 47.8%)]. Conclusions Acenocoumarol was the most frequently prescribed OAC as first therapy in NVAF patients. Non-naive to DOAC showed better persistence than naive. Rivaroxaban showed higher proportion of adherent patients during the implementation phase than apixaban and dabigatran the lowest.
PUBLIC DEBT SUSTAINABILITY IN THE WEST AFRICAN MONETARY ZONE

WAMZ countries have accumulated high levels of public debt less than two decades after the massive debt forgiveness effected under the Highly Indebted Poor Countries (HIPC) initiative. This has raised sustainability concerns as rising debt levels have the potential to create negative spillover effects and derail the macroeconomic convergence process in the Zone. This study examines the response of WAMZ countries to increases in public debt levels. Utilizing pooled OLS and panel fixed effects (FE) on annual data covering the period 2000 â€“ 2018, the study shows positive response of primary balance to changes in the debt to GDP ratio across WAMZ countries, indicating that public debt were sustainable during the period. Results from the Panel Smooth Transition Regression (PSTR) model indicate significant positive non-linear response of primary balance to increases in the debt ratio below a threshold debt-to-GDP ratio of 90 percent. The study recommends the continuation of fiscal consolidation efforts aimed at enhancing revenue and rationalizing unproductive expenditures in all Member States.
Application of normal essential oil and loaded-solid lipid nanoparticles as antioxidant

The industry adds antioxidants in the formulation of meat products to prevent or delay meat oxidation reactions. Therefore, this investigation was carried out to study the effect of normal essential oil and loaded-solid lipid nanoparticles as antioxidants and the effect of the abovementioned volatile oils on chemical properties (TBA) and shelf life of frozen beef burger. The antioxidant activity of volatile oils (cinnamon and ginger) normal and nano particle size at different concentrations were assessed. Also, the effect of the above mentioned volatile oils addition with different concentrations on chemical properties and shelf life of frozen beef burger was investigated. Results indicated that, the diphenylpicrylhydrazyl free radical scavenging activity increased by increasing the volatile oil concentrations for all studied treatments. Moreover, the antioxidant activity of volatile oils (cinnamon and ginger) nanoparticles was higher than that of the same concentrations of normal volatile oil. The chemical properties values thiobarbituric acid value (TBA) of beef burger decreased by increasing volatile oils concentrations and essential oils nanoparticles reduced chemical properties (TBA) values more than normal essential oils, beside extending the shelf life of beef burger treatments up to 6 months in comparison with control sample which have a four-month shelf life. In conclusion, the transformation of essential oils into nanoparticle size can affect their antioxidant activity and promote the chemical properties and shelf life of beef burger.
HYDROGEN PEROXIDE HANDBOOK

Abstract : This handbook is a compilation of the engineering properties and handling characteristics of propellant-grade hydrogen peroxide. The handbook includes data and information on Hydrogen peroxide physicochemical properties, production, storability, materials compatibility, materials treatment and passivation, facilities and equipment, disposal, transportation, safety, and decomposition.
Development of a Culturally Responsive Workforce in Urban Aboriginal and Torres Strait Islander Health

Introduction: A partnership between a community-controlled health organisation and a university enabled the development of a regionally coordinated model of health student practicums. The aim of this study was to evaluate students’ perceptions of these placements in developing their capacity to provide culturally responsive care. Methods: Students completed a post placement survey involving 15 five-point Likert items on their perceptions of the learning environment, skills development, awareness and self-development, and supervision. Written responses to two open-ended items on positive or negative aspects of the practicum were thematically analysed. Results: The student placement model facilitated increased numbers and diversity of clinical placement of health students within urban First Australian health. 241 students from various disciplines completed the survey from 2011-2016. Most students were satisfied with the quality of their placement (82%) and believed it was a supportive learning environment (87%). Most indicated greater awareness of First Australian culture (89%) and health concerns (87%), and believed their clinical skills were enhanced (79%). Discussion: These results support the efficacy of regionally coordinating clinical placements with First Australians in urban contexts as a means of cultivating a culturally responsive healthcare workforce. Future research needs to involve pre-and post-measures and link student outcomes with improved client outcomes.
Reproducibility Report - One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

The lottery ticket hypothesis states that smaller subnetworks within a larger deep network can be trained in isolation to achieve accuracy similar to that of original network, as long as they are initialized appropriately. However, whether these subnetworks or winning tickets are transferable across datasets and optimizers remains unclear. The paper "One ticket to win them all:generalizing lottery ticket initializations across datasets and optimizers" empirically shows that these winning tickets are transferable. We reproduce the results in the paper from scratch by implementing all the experiments. Our results support the original paper’s claim of the winning ticket initializations being transferable. While the paper is replicable, we ﬁnd that reproducing the paper requires access to large amount of computing resources for generating the winning tickets. Hence we also open-source the winning tickets we ﬁnd, so others can avoid the compute-intensive procedure of generating them.
The Correlation between Iranian EFL Learners’ Intercultural Sensitivity, Vocabulary Knowledge, and English Language Proficiency

AbstractThis study aimed to explore any type and level of association between Iranian EFL learners’ proficiency level and their intercultural sensitivity on the one hand, and the possible relation between vocabulary knowledge and sensitivity to cultural differences on the other. To this end, Oxford Quick Placement Test (OQPT) was administered to 220 EFL leaners. Based on the results of this test, a homogenized sample of 150 EFL learners (70 male and 80 female) at intermediate and upper-intermediate levels was selected. Afterwards, the participants took Vocabulary Levels Test (VLT) developed by Nation, and validated by Webb, Sasao, and Balance. Finally, Intercultural Sensitivity Scale (ISS) by Chen & Starosta was administered. The results of Pearson correlation analyses revealed a statistically significant correlation between the participants' proficiency level and their intercultural sensitivity. The results of regression analyses also indicated that language proficiency contributes as much as 55.4 percent to the prediction of level of intercultural sensitivity. Moreover, a significant positive correlation was detected between EFL learners’ L2 vocabulary knowledge and their intercultural sensitivity level. Further, the results revealed that Iranian EFL learners’ L2 vocabulary knowledge can offer contributions up to 17.3 percent to the prediction of intercultural sensitivity level. These findings can offer prominent implications for all practitioners, material developers, and EFL instructors who are primarily preoccupied with linguistic competence. The results can motivate them to consider intercultural sensitivity as a complementary element to EFL learners’ linguistic knowledge, as well as their communicative commands.