Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of the Static Trade-Off Theory determinants vis-à-vis Capital Structure phenomenon in context of Pakistan ’ s Chemical Industry

This paper investigates the application of the Static Trade-Off theory regarding the capital structure of the Pakistani Chemical Industry. We have used panel data analysis for the sample of 31 listed chemical firms from the period 2005 to 2013. The study is unique in its type as unlike to Shah & Hijazi (2005) who studied many industrial sections, this study only focuses on the listed Chemical Firms. We used five independent variables such as Profitability (P), Tangibility (T), Liquidity (L), Firm Size (FS) and Total Assets Growth (TAG) to study the effect on independent variable Financial Leverage (FG). The results confirmed the relationship of Profitability, Liquidity and Firm Size. However the results were not confirmed for Tangibility and Firm Assets Growth. Even though the results for Tangibility were positive, however the significance of the coefficients failed to support the hypothesis. This study hold a unique position for researchers for future research and also has significance for the investors helping them to make wise investment decisions when investing in Pakistani Chemical Industry since this industry holds a major portion of industrial GDP of the country.
Cortical thickness and inflammation in Metabolic Syndrome

Metabolic Syndrome (MetS), the clustering of obesity, high blood pressure, and disordered glucose and lipid/lipoprotein metabolism within a single individual, is associated with poorer cognitive function and dementia in later life. It has been hypothesized that cognitive impairment in MetS occurs primarily within the context of inflammation. MetS risk factors are also associated with thinning of the cerebral cortex. However, the mechanisms by which MetS and inflammation affect the brain are poorly understood. The present study used statistical mediation to examine the relationship between MetS risk factors, cortical thickness in a priori regions of interest (ROIs) and inflammation. ROIs in the inferior frontal, superior temporal, middle frontal, supra marginal, anterior cingulate and middle occipital regions were chosen from the previous literature. Serum levels of pro-inflammatory markers (interleukin 1, interleukin 2, interleukin 6 and C-Reactive Protein) were measured using enzyme-linked immunosorbent assays. Forty-three adults between the ages of 40 and 60 years
DO WOMEN ON BOARD, RISK MANAGEMENT, INVESTMENT IN NON-CORE BUSINESS AND STRATEGIC CHOICES AFFECT EARNING PERSISTENCE? - CASE IN INDONESIA

Purpose of the study: The objectives of this research are (a) to determine association of gender diversity on boards of commissioners and boards of directors, risk management and infrastructure investment in non-core business to earnings persistence; (b) to find out whether strategy choices could moderate association of gender diversity of the board of commissioners and board of directors, risk management and infrastructure investment in non-core business to earnings persistence. Methodology: This research used multiple regression with five years of observation (2011-2015) and used IBM SPSS statistic version 22 to test the hypotheses. The sampling technique was purposive sampling. The results obtained 79 companies from the selection that met the criteria and hence, the total observations are 395 samples. Findings: This research found that gender diversity on board of directors had a positive effect on earning persistence and investment in non-core business had a negative impact on earning persistence. On the other hand, there was no direct effect of diversity gender on board of commissioners and risk management to earning persistence. However, when gender diversity on board of commissioners combined with the type of prospector strategy, it had a positive effect on earnings persistence, so did risk management. Novelty/Originality: This study has a practical contribution to shareholders, investors, board, and academics. This paper underlines that women should be courageous to take part in the business either as a board of commissioners or directors, and the company should provide wider opportunities for women. An investor should carefully with the companies’ strategic choice. This study also has an empirical contribution to filling the literature gap of factors that influence the earnings persistence beyond financial factors. There are limited researches that examined earning persistence, which includes risk management, investment in non-core business infrastructure and strategy as variables.
Physiotherapy treatment of whiplash-associated disorders in Sweden in relation to current scientific evidens - a questionnaire study

Background: Whiplash injury is an accelerationsand deceleration injury to the neck as a result of traumatic force, for example a motor vehicle accident. This type of injury can result in different boneand soft tissue injuries. The most common symptoms after a whiplash injury are neck pain and headache. Other symptoms like nausea and dizziness can also occur. The mental health can also be affected. The patients’ attitudes towards their ability to be painfree and recover from the symptoms play a vital role in the rehabilitation. As of today there are no clear guidelines in Sweden for how to treat patients with whiplash associated disorders (WAD). Aim: The aim of this study was to examinate how physiotherapists in health care centers in Sweden treat patients with whiplash-associated disorders in the acute phase and if this is consistent with the evidence found for WAD treatment. Method: A questionnaire was used in this study, which was answered by 33 clinically practicing physiotherapists in primary care units in Sweden. Results: This study shows that physiotherapists in primary care units in Sweden base their treatment, of patients with WAD, on dependable experience. According to the current scientific evidence the physiotherapists give the patients advice about movement training for the cervical spine and also advice them to return to everyday activities. Conclusions: This study shows that physiotherapists often work after to the most effective treatment methods according to current scientific evidens. According to this study the information that the physiotherapists provide their patients in the acute fase is deficient. There should also be more follow ups. We also think that it should be prepared national guidelines for the treatment of patients with WAD, partially so that the patients receives equal treatment regardless of health care providers and also make it easier for caregivers to provide the right treatment. Sammanfattning Bakgrund: Whiplash är en accelerationsoch deaccelerationsmekanism som sker i nacken vid traumatiskt våld, till exempel vid en bilolycka, vilket kan ge upphov till olika benoch mjukdelsskador. De vanligaste symtomen efter en whiplash skada är nacksmärta samt huvudvärk. Men det kan även förekomma andra symtom som illamående och yrsel. Även den psykiska hälsan kan påverkas. Idag finns det inga klara nationella riktlinjer för behandling av patienter med WAD. Syfte: Syftet med denna studie var att ta reda på hur sjukgymnaster på vårdcentraler i Sverige behandlar patienter med Whiplash-Associated dissorders (WAD) i det akuta skedet och om detta stämmer överens med den vetenskapliga evidens som finns för WAD-behandling. Metod: I denna studie användes en enkät. Den besvarades av 33
Decoder : Generate rewritten-utterance Encoder : Last Utterance RepresentationEncoder : Context Representation

Context modeling has a pivotal role in open domain conversation. Existing works either use heuristic methods or jointly learn context modeling and response generation with an encoder-decoder framework. This paper proposes an explicit context rewriting method, which rewrites the last utterance by considering context history. We leverage pseudoparallel data and elaborate a context rewriting network, which is built upon the CopyNet with the reinforcement learning method. The rewritten utterance is beneficial to candidate retrieval, explainable context modeling, as well as enabling to employ a single-turn framework to the multi-turn scenario. The empirical results show that our model outperforms baselines in terms of the rewriting quality, the multi-turn response generation, and the end-to-end retrieval-based chatbots.
Review on Higher Diploma Training Experiences, Quality Teaching and Its Challenges in Mizan_Tepi University, Ethiopia

The purpose of this review is to examine the existing practices of quality teaching in Mizan_Tepi University. Specifically, it is to discuss on how the knowledge, experiences and skills acquired from higher diploma program training is linked to quality teaching-learning. Higher diploma program training is effectively undertaking in Mizan_Tepi University. About 572 university academic staffs have been completed this training program within the last ten years. However, the impact of this training on the effective teaching of academic staff is not conducted yet. For this matter researches that have been done by different universities on this regard has been reviewed and compared with the real practices. Session observations of higher diploma trained academic staff classrooms, focus group discussion with the program candidates and teaching experiences were used as a base for this review. In general, the long period of time teaching experiences in the university and frequent session observations made indicates that the real practice of teaching and learning situation in Mizan_Tepi university looks like similar with the traditional teaching approach in which students are considered as passive listeners. Most teachers failed to make their lesson active and increase students’ engagement by blaming the mismatch between the contents of the subject in terms of its scope and the modular teaching approach. In practice it is observed that instructors are unused this skills and experiences that they have gained from higher diploma training in spite of the real use of it to facilitate students’ better learning. Some instructors with being less reflective of themselves, they attribute every failure to students though the program is supposed to help the realization of reflectiveness of teachers based on the constructivist teaching approach. Student engagement is most powerful in the process of quality teaching. To make such culture happen first teachers expected to believe that students learn better when they become active participant and create an environment which gives an opportunity to engage into learning. And also students must take responsibility for their learning and work hard to achieve the desired objectives. Lastly, the reviewer strongly recommends the academic community that to realize the usage of knowledge, skills and experiences gained from the training there has to be genuine focus, concern and commitment towards the quality teaching in the University. Keywords: Higher Diploma Training Experiences, Quality of Teaching DOI : 10.7176/JEP/10-10-11 Publication date : April 30 th 2019
Evaluation of Performance Metric of Automatic Machine Translation

Machine Translation (MT) is an automated translation from source language to target language using computer software with the same meaning and similar construction. Evaluation of any Machine Translation (MT) system is an important step to improve its accuracy. This paper evaluates the translation quality of MT systems. The evaluation of any translation system can be done in two ways, Machine Translation (MT) and human translation. Human evaluation not only provides the rank of the different MT system, but also analysis of the evaluation process at the higher level. We measured the correlation human judgments with automatic evaluation metrics. It is concluded that METEOR does not support Hindi by default, as it requires Hindi specific tools for computing stem words, synonym, etc. In this paper, we represent some of the automatic metrics and their advantages and disadvantages for the MT system. Keywords— Automatic Evaluation machine, Human Evaluation, Machine Translation, Natural Language Processing.
The Impact of Transformational Leadership Style Practiced by Principals in determining the Job Satisfaction of Teachers working at Private Degree Colleges in Bangalore City.

Leaders are doers the success of any organisation is vested in the hands of responsible and highly motivated leaders. A leader is one who knows the path and guides the followers to go on the right way by standing with them, lending support when ever needed. With this aspect, study on leadership style and its relation in determining the job satisfaction of teachers has been chosen to analyse the association of Transformational leadership style with job satisfaction of teachers working with the private degree colleges in the city of Bangalore This study focuses on how principal leadership quality and style will influence the college teaching staff in determining the job satisfaction that in turn contributes to overall success of the colleges and even the student community. Correlation and Regression analysis is made to understand the significant relationship between the Principal leadership style and job satisfaction of teachers from teachers perspective.
How Supply Chain Integration A ff ects Innovation in a Digital Age : Moderating E ff ects of Sustainable Policy

With the rapid development of digital technologies and increasing public attention on environmental problems, it has become a new challenge for global enterprises to manage supply chains responsibly, so as to improve their innovation performance for sustainability. Prior works have identified the effects of supply chain integration on firm innovation in advanced economies; however, so far, there has been limited research on the relationships between supply chain integration and firm innovation in emerging and developing countries. Hence, building upon transaction cost and resource dependence theories, this study used China’s manufacturing industry as the research setting, probing the dynamic mechanisms between supply chain integration and firm innovation. The results show that the degree of supply chain integration positively relates to firms’ patent output but negatively relates to their innovation efficiency, and that a sustainable policy moderates the foregoing associations. Our study enriches the body of knowledge regarding responsible supply chain integration in a new digital age with growing ecological concerns and thereby offers insightful practical implications for practitioners and policy makers.
Practice Datalink Analysis of Antidepressant Treatment Patterns and Health Care Costs in Generalized Anxiety Disorder

Objective: To describe real-life prescription patterns, health care resource use, and costs in adults with generalized anxiety disorder (GAD) initiating antidepressant (AD) treatment in the United Kingdom. Methods: A retrospective longitudinal cohort study using data from Clinical Research Practice Datalink was conducted. Adults with incident prescription of an AD (index date) between January 1, 2006, and June 30, 2010, and with a diagnosis of GAD within the 2 months preceding or following the index date were included. Patients with a diagnosis of schizophrenia or bipolar disorder were excluded. Results: A total of 29,131 patients with GAD were included in the analysis. Their mean age was 48.5 15.5 years, and two thirds were women. GAD-licensed ADs (i.e., escitalopram, paroxetine, venlafaxine XR, and duloxetine) represented only 12.5% of the index AD prescriptions. At least one anxiolytic was prescribed for 23.5% of the patients. Only 33.2% of the patients continued index AD treatment over the study period. Discontinuation occurred for 46.0% of the patients, after a see front matter Copyright & 2013, International S
MICROSATELLITE MARKERS ( SSR ’ S ) FOR REVEALING POLYMORPHISM AND IDENTIFICATION AMONG WILLOWS CLONES

Microsatellite markers (SSR’s) were found effective in revealing polymorphisms among twenty two different species/clones of Willows. Out of 10 SSR primers only seven primers produced SSR profiles with intense banding pattern and generated a unique set of amplification products. Out of the total 24 scorable bands, 16 showed polymorphism and eight bands exhibited monomorphism with an average of 3.43 bands per primer. A unique band of approximately 100 bp was generated by SB-80 for S. udensis.Jaccard's similarity correlation coefficient values was highest value (0.98) between two male genotypes of Salix tetrasperma [S. tetrasperma (TFB) and S. tetrasperma (LNM)] and lowest (0.64) between S. udensis and S. nigra, S. udensis and S. tetrasperma (TWE) and between S. matsudana (PN-722) and S. pierotii and 799.The dendrogram exhibited six clear clusters with S. udensis coming out as an outline. SSR primer namely SB-80 produced unique band present only in S. udensis. This information could be used for characterizing particular genotypes.
Scholars of Marketing Science Bridging Asia and the World

Problem: How to help practitioners, academics, and decision makers use experimental research findings to substantially reduce forecast errors for all types of forecasting problems. Methods: Findings from our review of forecasting experiments were used to identify methods and principles that lead to accurate forecasts. Cited authors were contacted to verify that summaries of their research were correct. Checklists to help forecasters and their clients undertake and commission studies that adhere to principles and use valid methods were developed. Leading researchers were asked to identify errors of omission or commission in the analyses and summaries of research findings. Findings: Forecast accuracy can be improved by using one of 15 relatively simple evidence-based forecasting methods. One of those methods, knowledge models, provides substantial improvements in accuracy when causal knowledge is good. On the other hand, data models – developed using multiple regression, data mining, neural nets, and “big data analytics” – are unsuited for forecasting. Originality: Three new checklists for choosing validated methods, developing knowledge models, and assessing uncertainty are presented. A fourth checklist, based on the Golden Rule of Forecasting, was improved. Usefulness: Combining forecasts within individual methods and across different methods can reduce forecast errors by as much as 50%. Forecasts errors from currently used methods can be reduced by increasing their compliance with the principles of conservatism (Golden Rule of Forecasting) and simplicity (Occam’s Razor). Clients and other interested parties can use the checklists to determine whether forecasts were derived using evidence-based procedures and can, therefore, be trusted for making decisions. Scientists can use the checklists to devise tests of the predictive validity of their findings.
COMPARING THE CONSTRUCTION OF MATHEMATICAL KNOWLEDGE BETWEEN LOW-ACHIEVING AND HIGH-ACHIEVING STUDENTS – A CASE STUDY

The case study reported in this paper investigates whether there is a difference in the way high-achieving and low-achieving students construct mathematical knowledge and, if there is, how it might look. Furthermore, it investigates possible differences in metacognitive actions between these groups. For this, we study how pairs of highachieving and pairs of low-achieving students deal with a problem-solving task about the divisibility of sums, using the theory of abstraction in context and a category scheme for metacognitive activities. This paper is part of a larger ongoing project that compares knowledge construction of high-achieving and low-achieving students using different tasks.
Title Real time damage detection using recursive principal components and time varying autoregressive modeling

In this paper, a novel baseline free approach for continuous online damage detection of multi degree of freedom vibrating structures using Recursive Principle Component Analysis (RPCA) in conjunction with Time Varying Auto-Regressive Modeling (TVAR) is proposed. In this method, the acceleration data is used to obtain recursive proper orthogonal components online using rank-one perturbation method, followed by TVAR modeling of the first transformed response, to detect the change in the dynamic behavior of the vibrating system from its pristine state to contiguous linear /non-linear-states that indicate damage. Most of the works available in the literature deal with algorithms that require windowing of the gathered data owing to their data-driven nature which renders them ineffective for online implementation. Algorithms focussed on mathematically consistent recursive techniques in a rigorous theoretical framework of structural damage detection is missing, which motivates the Fully documented templates are available in the elsarticle package on CTAN. ∗Corresponding author Email address: budhaditya.hazra@iitg.ernet. in (B.Hazra) Preprint submitted to Mechanical systems and Signal Processing February 12, 2017 development of the present framework that is amenable for online implementation which could be utilized along with suite experimental and numerical investigations. The RPCA algorithm iterates the eigenvector and eigenvalue estimates for sample covariance matrices and new data point at each successive time instants, using the rank-one perturbation method. TVAR modeling on the principal component explaining maximum variance is utilized and the damage is identified by tracking the TVAR coefficients. This eliminates the need for offline post processing and facilitates online damage detection especially when applied to streaming data without requiring any baseline data. Numerical simulations are performed on a 5-dof nonlinear system under white noise and El Centro excitations, with different levels of nonlinearity simulating the damage scenarios, demonstrate the robustness of the proposed algorithm. The method is further validated on results obtained from case studies involving experiments performed on a cantilever beam subjected to earthquake excitation; a two-storey benchscale model with a TMD and, data from recorded responses of UCLA factor building demonstrate the efficacy of the proposed methodology as an ideal candidate for real-time, reference free structural health monitoring.
Impact of ocean acidi ﬁ cation and high solar radiation on productivity and species composition of a late summer phytoplankton community of the coastal Western Antarctic Peninsula

The Western Antarctic Peninsula (WAP), one of the most productive regions of the Southern Ocean, is cur-rently undergoing rapid environmental changes such as ocean acidi ﬁ cation (OA) and increased daily irradiances from enhanced surface-water strati ﬁ cation. To assess the potential for future biological CO 2 sequestration of this region, we incubated a natural phytoplankton assemblage from Ryder Bay, WAP, under a range of pCO 2 levels (180 μ atm, 450 μ atm, and 1000 μ atm) combined with either moderate or high natural solar radiation (MSR: 124 μ mol photons m − 2 s − 1 and HSR: 435 μ mol photons m − 2 s − 1 , respectively). The initial and ﬁ nal phytoplankton communities were numerically dominated by the prymnesiophyte Phaeocystis antarctica , with the single
Supplementary information file Voltage-activated transport of ions through single-walled carbon nanotubes

1) Raman characterization of the structural distribution of the SWCNTs The structural distribution (diameter distribution) of the CNTs used for the fluidic devices was evaluated from Raman analysis on different samples all grown in the same CCVD conditions (lattice-oriented growth). The diameter distribution shown in S1a was obtained from the RBM recorded for 95 different tubes using 532 nm and 633 nm wavelengths and was calculated using the relationship ωRBM (cm-1) = (235.9/dt) +5.5 which was validated for SWCNTs on thermal SiO2 [1]. The nanotube diameters were found to range between 1.2 and 2 nm with most of tubes at 1.31. 5 nm. Most SWCNTs were found to display a G-band profile characteristic of semiconducting nanotubes.