Miracle-dz/UniFAR-FTUs huggingface dataset:
COPD_A_253812 1909..1918

1Observational & Pragmatic Research Institute Pte Ltd, Singapore, Singapore; 2AstraZeneca, Durham, NC, USA; 3AstraZeneca, Mölndal, Sweden; 4Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; 5AstraZeneca, Morristown, NJ, USA; 6General Practitioners Research Institute, Groningen, The Netherlands; 7Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, University of British Columbia, Vancouver, BC, Canada; 8Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, BC, Canada; 9Academic Primary Care, University of Aberdeen, Aberdeen, UK Introduction: Early identification of preventable risk factors of COPD progression is important. Whether exacerbations have a negative impact on disease progression is largely unknown. We investigated whether the long-term occurrence of exacerbations is associated with lung function decline at early stages of COPD. Methods: Patients diagnosed with mild/moderate COPD (obstruction and FEV1% predicted 50–90%), aged ≥35 years, and a smoking history, who had ≥6 years of UK electronic medical records after initiation of maintenance therapy were studied. Multilevel mixedeffect linear regression was performed to determine the association between the count of any year in which the patient had ≥1 exacerbation over a 6-year period and FEV1 decline, adjusted for sex, age, anthropometrics and smoking habits. Exacerbations were defined as any prescription for an acute oral corticosteroid course and/or lower respiratory-related antibiotics and/or any COPD-related emergency or inpatient hospitalization. Results: Of 11,337 patients included (mean age 65 years; 49% female) 31.6%, 23.3%, 16.6%, 11.6%, 8.1%, 5.3% and 3.4% had 0, 1, 2, 3, 4, 5 and 6 years with ≥1 exacerbation. The mean annual FEV1 decline accelerated by 1.50 mL/year (95% Confidence Interval 1.02; 1.98) with every additional year with ≥1 exacerbation from 31.0 mL/year in subjects without any exacerbation to 40.0 mL/year in patients experiencing ≥1 exacerbation every year. Patients with more years with ≥1 exacerbation had a lower mean FEV1 at first diagnosis: 14.7 mL (11.7; 17.8) lower with every additional year with exacerbations. When counting years with ≥2 exacerbations, greater effects were observed (2.19 [1.50; 2.88] mL/year excess decline per year with ≥2 exacerbations; 16.5 mL [12.1; 20.8] lower FEV1 at diagnosis). Conclusion: Patients who experienced a greater exacerbation burden after initiation of maintenance therapy had worse lung function at diagnosis and a more rapid lung function decline thereafter, which emphasizes the need for better treatment strategies.
“Reconstructions of the past distribution of Testudo graeca mitochondrial lineages in the Middle East and Transcaucasia support multiple refugia since the Last Glacial Maximum”: A response to Turkozan et al. (2021)

Species distribution models (SDMs) are frequently used to characterise current, past or future realised environmental niches. Two recent studies applied different approaches to infer range dynamics in eastern subspecies of the spur-thighed tortoise Testudo graeca Linnaeus, 1758. We discuss differences in the conclusions of the two papers and use multivariate environmental similarity surface (MESS) analyses to show that the results of the study by Turkozan et al. (2021), recently published in the Herpetological Journal, are compromised by extrapolation and therefore have to be interpreted with caution.
Illuminating Game Space Using MAP-Elites for Assisting Video Game Design

In this paper we demonstrate the use of Multi-dimensional Archive of Phenotypic Elites (MAP-Elites), a divergent search algorithm, as a game design assisting tool. The MAP-Elites algorithm allows illumination in the game space instead of just determining a single game setting via objective based optimization. We showed how the game space can be explored by generating a diverse set of game settings, allowing the designers to explore what range of behaviours are possible in their games. The proposed method was applied to the 2D game Cave Swing. We discovered different settings of the game where a Rolling Horizon Evolutionary Algorithm (RHEA) agent behaved differently depending on the selected game parameters. The agent’s performance was plotted against its behaviour for further exploration, which allowed visualizing how the agent performed with selected behaviour traits.
The Impact of Total Quality Management on Corporate Performance in Malaysian Public Listed Companies

Total Quality Management (TQM) is a holistic approach that focuses on meeting needs and expectation of customers through the involvement of all organizational functions and individuals for continued improvement. It is widely accepted as a mean of sustaining competitive advantage. However, the review of performance-related TQM literature shows that researchers have different approaches in conceptualization of performance measures and inconclusive about the positive impact of TQM on corporate performance. Therefore, this study aims to examine the effect of TQM practices on corporate performance, both financial and nonfinancial performance. The empirical data had been drawn from 132 human resource managers in Malaysian public listed companies and analysed using the multiple regression analysis. Finding of this study revealed that TQM has a positive impact on corporate performance across five measure practices, which are, top management leadership, human resource management, customer focus, strategic planning, and information and process management. The major implication of the finding is that the positive impact of TQM on corporate performance is not limited only to Malaysia manufacturing companies, but also be equally achieved across sectors in Malaysia public listed companies.
Sentiment Analysis of Twitter Streaming Data for Recommendation using Apache Spark

—Twitter is free social networking micro blogging service. In that micro-blogging allows to registered members to broadcasting the short posts also called tweets. It can broadcast the tweets by using multiple platforms and devices. Twitter member replies to tweets. Existing system focuses on document level sentiment analysis that means they used Hadoop Framework for concerning moving or product reviews. In that system web pages or blocks on which posts are published therefore in that system complexity of document level opinion mining many efforts have been made towards the sentence level sentiment analysis. The existing systems classify the accuracy only one word. This process is time consuming due to documentation. In the system which we are devolve in that we used spark framework instead of Hadoop framework. Due to the use of Spark Framework, garbage or unclean data are removing. So that user gets better efficiency and less time required for processing, than earlier system.
Role Perceived Price, Perceived Usefulness and Trust on the Customer’s Purchase Intention

The goal connected with the present literature is to inspect the impact of trust, perceived usefulness, and perceived price on the purchase intension of the customers in Malaysia. Data were collected from the customer relation manager of the companies and SPSS employed to test the hypotheses. The outcomes demonstrated that positive connection among the trust and purchase intension, perceived usefulness and purchase intension, and perceived price and purchase intension.
Numerical solution of the Lane-Emden equation

This dissertation describes the results of an investigation into the numerical solution of the Lane-Emden equation which is a singular non-linear boundary value problem. The approach used is the Newton iteration method on a linearised form of the differential equation. The piecewise polynomial representation is obtained using B-splines by collocation at Gaussian points. The mathematical background which is the theoretical basis for the numerical solution is described. In particular the paper “Collocation at Gaussian points” by de Boor and Swartz is discussed and how the main theorems show how to solve non-linear problems efficiently [1]. The Lane-Emden equation can be used as a simple model of the structure of stars. The numerical solution is compared against those analytic solutions which exist to investigate the accuracy of the solution. A solution is then obtained for the model of our sun for which no analytic solution exists and this is used to estimate some key physical parameters at the core of the sun. P0114977 2 Mark Cannon
The study of the relation between Earnings Management and Long Run Stock Performance

In this paper, we exam firm’s incentive to manage earnings raising external capital varies with investor beliefs. Under thespline specification regression: a firm is more likely to management earnings when investors are more optimistic about the industry prospects, but more reluctant when investor belief is low. We evaluate monitory cost to explore the reasons and find that using venture capitalists as specialized investors with lower monitoring costs than other institutional investors, earnings management is less likely for low investor beliefs but more likely for high investor beliefs for VC-backed firms relative to non-VC-backed firms. We can also obtain the same results as former study that auditor’s quality negatively related with earnings management. Considering above consequence, we documents IPOs firms engaged in managing earnings with high investor beliefs have an influence on the long-run abnormal stock return performance. These findings have implications for investors, firms, and accounting standard setters. More prudential monitory is important during market booming periods.
The Shift in the Jewish Attitude Towards Conversion

The current Jewish narrative is of a segregated club that discourages new members. In the ancient world, however, the Jewish population was not an isolated society, but rather a society imbued with a zeal for conversion. The change in the attitude towards conversion occurred during a period characterized by a drastic decline in the global Jewish population (1st-3rd centuries CE). Surprisingly, the Jewish establishment responded to this crisis by creating numerous barriers discouraging conversion into Judaism. The paper presents this historical puzzle and introduces a model of rational religious conversion that attempts to explain it. JEL Classification Numbers: N3, N9.
Effect of Operations Capabilities on Financial Performance of Firms with Moderating Role of Supply Chain Management Capabilities: A case of Indonesian Pharmaceutical Firms

Operational capabilities and competences not only generate value for business itself but also for its customers and suppliers. This study intended to investigate the effect of operational capabilities on financial performance of Indonesian pharmaceutical firms with moderating role of supply chain management practices. The data was collected from managing directors, managers of supply chain, planning managers and operational managers of pharmaceutical firms in Indonesia by using survey questionnaire method. Collected data was analysed by PLS statistical software in two steps. In first step, reliability and validity was inspected and in second step proposed relationship between constructs was investigated. This study found that new product design, just-in-time and total quality management have significant and positivity association with financial performance of pharmaceutical firms in Indonesia. Furthermore, supply chain management practices significantly moderate the relationship of justin-time and total quality management with financial performance of pharmaceutical firms in Indonesia. However, supply chain management practices have no moderating role on the relationship of new product design with financial performance of firms. Findings of this study provide guideline to managers of pharmaceutical firms in Indonesia regarding the role of operational capabilities and supply chain management practices.
Literature Survey: Neural Machine Translation in Low Resource Setting

Neural Machine Translation(NMT) is the dominant paradigm in the ﬁeld of Machine Translation(MT) now. It has signiﬁcantly improved the performance of MT models compared to previous approaches like Statistical or rule-based MT. One problem with Neural models is that they require lot of clean parallel data to perform well which makes it unsuitable for low resource language pairs. In this paper we ﬁrst look at the basics and recent developments in the ﬁeld of NMT and then move on to approaches which help mitigate the problem of low resourceness. We look at RNNs and its various types, transformer model, byte pair encoding, backtranslation, pivoting, multilingual models, phrase table injection and cmbined corpus.
The Predictive Performance of Extreme Value Analysis Based-Models in Forecasting the Volatility of Cryptocurrencies

This paper implements the analysis of volatility behaviour of the eight major cryptocurrencies (Bitcoin, Ethereum, Ripple, Litecoin, Monero, Stellar, Dash and Tether) for the period starting from October 13th 2015 to November 18th 2019. The GARCH-type models with heavy-tailed distributions are fitted to filter the conditional volatility exhibited by cryptocurrencies. Extreme value analysis based on the peak over threshold approach is then used to model the extreme tail behaviour of the cryptocurrencies. The predictive performance of the GARCH-EVT model in forecasting Value-at-Risk is evaluated at both 5% and 1% levels of significance. The backtesting results demonstrate the superiority of the GARCH-EVT model in both out-of-sample forecasts and goodness-of-fit properties to cryptocurrency returns and forecasting Value-at-Risk. Overall, the empirical results of this study recommend the heavy-tailed GARCH-EVT based model for modelling and forecasting the volatility of cryptocurrencies.
Ultrasonographic Optic Nerve Sheath Diameter as A Surrogate Measurement of Intracranial Pressure in Preeclampsia

Background: Preeclampsia affects five to ten percent of pregnant women and accounts for about twelve percent of maternal mortality. It is the third most common cause of maternal mortality worldwide. Papilledema is an indirect and late indicator of raised intracranial pressure (ICP), whereas a pressure rise in optic nerve sheath (and the resulting enlargement of the optic nerve diameter) is a more dynamic process. The retrobulbar optic nerve sheath diameter (ONSD) can be measured at a position 3 mm posterior to the globe, where ultrasound contrast is greatest with more reproducible results. Objective: To evaluate the correlation between ultrasonographic measurement of ONSD with the degree of severity of preeclampsia. Patients and methods: This prospective observational study was conducted at Mansoura University Hospital Intensive Care Unit from July 2019 to June 2020. Just after delivery, 175 pregnant females aged between 18 and 45 years old were enrolled for participating in this study. Out of them, 25 females were excluded. Results: As regarding body weight, there was a significant difference between the control group (79.9±6.36 kg) and preeclamptic without severe feature group (87.7±10.58 kg). The mean body weight in severe preeclampsia group was (91.5 ±14.73kg) which showed no significant difference from that of the non-severe group. ONSD values showed significant difference between the studied groups. The control group had ONSD mean value of 4.85±0.32 mm, mild preeclamptic group had mean value of 6.05±0.096 mm, while severe preeclampsia group had a mean value of 6.76±0.25 mm. Conclusion: Ultrasonographic measurement of ONSD provides a non-invasive, quick and readily accessible tool for evaluation of raised intracranial pressure (ICP).
LEVEL OF ANXIETY, FATIGUE AND DEPRESSION AMONG COLLEGE GRADUATING STUDENTS ENROLLED IN BILIRAN PROVINCE STATE UNIVERSITY

Background: The need to finish the graduating degree becomes very compelling to the students to meet the expectations of their families, relatives and friends. However, when the student faces obstacles to meet the said expectations, the student may experience emotional problems such as fatigue, anxiety and depression especially among those who are about to finish the degree. Assessment of the student's mental health, specifically the level of fatigue, anxiety and depression is vital to prevent further complications. The purpose of this study is to determine the prevalence of anxiety, fatigue and depression among graduating students enrolled at Biliran Province State University. Methods: The study used a descriptive survey design using standardized tools such as the Beck's Anxiety Inventory (BDI), Brief Fatigue Inventory (BFI) and the Kutcher's Adolescent Depression Scale to determine the prevalence of anxiety, fatigue and depression among the respondents. Results: The results revealed that most of the respondents had mild anxiety, fatigue and depression. However, there were also some students who experienced moderate-severe anxiety, fatigue and depression. Conclusion: The results of the study highlight the need to craft interventions such as health education campaigns or counselling that will help students in the prevention of anxiety, fatigue and depression especially among graduating students.
Analisis Dimensi Brand Trust Terhadap Brand Loyalty (Studi Pada Pengguna Simcard Im3 Mahasiswa Febis Unikarta )

Abstract: The purposes of the study were analyzing the effect of dimensions of brand trust on brand loyalty both partially and simultaneously. Beside that, to find out the dominant variable in influencing brand loyalty. The analytical tool used was a factor analysis with 75 respondents. Based on the results where the KMO table and Barlett’s test was obtained at 0.887 with a significant value less than 0.05(0,000 ≤ 0, 05). It can be concluded that the dimensions of brand trust have a significant and simultaneous influence on brand loyalty. The result also show the analysis of anti image correlation where each variable gives a contribution to the value of brand loyalty where each variables contributes: brand predictability (X1) 0,905; brand likings (X2) 0,895; brand competence (X3) 0,858; brand reputation (X4) 0,898 and trust in company (X5) 0,92. All these number above 0,5 and sig is far below 0.005 (0,000<0,000). It can be concluded that the dimensions of brand trust have a significant and partial influence on brand loyalty Based on the results of the component matrix analysis brand competence has the most dominant influence on the formation of brand loyalty IM3 brand with the highest correlation value 0,932. Keywords: Brand Trust, Brand Loyalty.
Analisis Pemberdayaan Ekonomi Mustahik Melalui Zakat Produktif (Studi Kasus Badan Amil Zakat Nasional Kota Banjar)

Penelitian ini bertujuan untuk mengetahui program pemberdayaan ekonomi mustahik di BAZNAS Kota Banjar dengan mengoptimalkan dana ZIS yang terkumpul. Penelitian ini menggunakan metode kualitatif deskriptif atau menggunakan metode survei lapangan (filed research) yang bertujuan untuk mencari jawaban atas permasalahan yang diteliti. Sumber data yang digunakan dalam penelitian ini adalah data primer berupa observasi, dokumentasi serta wawancara kepada Staf BAZNAS Kota Banjar dan mustahik yang mendapatkan dana zakat produktif, serta data sekunder yang didapatkan dalam bentuk buku atau melalui referensi-referensi serta catatan yang relevan. Berdasarkan hasil analisis penelitian ini dapat diketahui bahwa dengan adanya program pemberdayaan zakat produktif yang disalurkan kepada mustahik, dapat mempermudah dan meringankan beban para mustahik yang kekurangan modal atau alat-alat dan bahan untuk keberlangsungan produksinya. Sehingga dana yang disalurkan kepada mustahik mampu meminimalisir kemiskinan dan dapat meningkatkan kesejahteraan sehingga para mustahik dapat berganti status menjadi muzakki.
Homogenized Balance Equations for Nonlinear Poroelastic Composites

Within this work, we upscale the equations that describe the pore-scale behaviour of nonlinear porous elastic composites, using the asymptotic homogenization technique in order to derive the macroscale effective governing equations. A porous hyperelastic composite can be thought of as being comprised of a matrix interacting with a number of subphases and percolated by a fluid flowing in the pores (which is chosen to be Newtonian and incompressible here). A general nonlinear macroscale model is derived and is then specified for a particular choice of strain energy function, namely the de Saint-Venant function. This leads to a macroscale system of PDEs, which is of poroelastic type with additional terms and transformations to account for the nonlinear behaviour of the material. Our new porohyperelastic-type model describes the effective behaviour of nonlinear porous composites by prescribing the stress balance equations, the conservation of mass and Darcy’s law. The coefficients of these macroscale equations encode the detailed microstructure of the material and are to be found by solving pore-scale differential problems. The model reduces to the following limit cases of (a) linear poroelastic composites when the deformation gradient approaches the identity, (b) nonlinear composites when there are no pores and (c) nonlinear poroelasticity when only the matrix–fluid interaction is considered. This model is applicable when the interactions between various hyperelastic solid phases occur at the pore-scale, as in biological tissues such as artery walls, the myocardium, lungs and liver.
The whole-genome sequence of the novel yeast species Metschnikowia persimmonesis isolated from medicinal plant Diospyros kaki Thunb

Abstract The new yeast Metschnikowia persimmonesis KCTC 12991BP (KIOM G15050 strain) exhibits strong antimicrobial activity against some pathogens. This activity may be related to the medicinal profile of secondary metabolites that could be found in the genome of this species. Therefore, to explore its future possibility of producing some beneficial activities, including medicinal ability, we report high-quality whole-genome assembly of M. persimmonesis produced by PacBio RS II sequencer. The final draft assembly consisted of 16 scaffolds with GC content of 45.90% and comprised a fairly complete set (82.8%) of BUSCO result using Saccharomycetales lineage data set. The total length of the genome was 16.473 Mb, with a scaffold N50 of 1.982 Mb. Annotation of the M. persimmonesis genome revealed presence of 7029 genes and 6939 functionally annotated proteins. Based on the analysis of phylogenetic relationship and the average nucleotide identities, M. persimmonesis was proved to a novel species within the Metschnikowia genus. This finding is expected to significantly contribute to the discovery of high-value natural products from M. persimmonesis as well as for genome biology and evolution comparative analysis within Metschnikowia species.
Investigation of in vitro lactogenic action of selected Angolan plants ethnobotanically described to affect human breast milk

A recent ethnobotanical study collected traditional knowledge on treatments and plants of tribes in Uige, Northern Angola, a region suffering from infant malnutrition and mortality. Aqueous extracts of twelve different plant species (leaves or stems) collected were prepared and subject of chemical profiling. The impact of twelve plant extracts on mammary epithelial cell differentiation was tested in vitro by dose-dependent treatment of HC11 cells. Leaf extracts of Carica papaya and Morinda lucida induced HC11 differentiation and elevated the mRNA expression of the milk protein β-casein, while the remaining ten inhibited the HC11 mammary differentiation.The majority of the plant extracts did not induce in vitro mammary epithelial cell differentiation assuming that the plants might rather exert their effects on prolactin levels or on other mechanism influencing the mammary gland health. Phenolic acids and flavonoids were identified as the predominant and potentially active chemical classes responsible for the observed lactogenic effects.