Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Electric Power Consumption, Foreign Direct Investment and Economic Growth in Sri Lanka

Purpose: This paper investigates the long run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Design/Methodology/Approach: The annual time series data over the period 1970–2017 is considered to this study. Augmented Dickey–Fuller (ADF) unit root analysis is employed for examining the stationary properties of the variables. Consequently, Autoregressive Distributed Lag (ARDL) analysis is employed to examining the shortrun and long-run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Further, this study used the diagnostic tests such as the residual normality test, heteroskedasticity and serial autocorrelation tests for misspecification to validate the parameter estimation outcomes achieved by the estimated model. CUSUM test is applied to test the stability of the model. Collected data were analyzed using STATA version 15. Findings: The findings of the bound test confirm that the variables are cointegrated. Further the results reveal that there is a statistically positive significant relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka in the long run and short term. The empirical finding reveals that one percent increase in electricity consumption and foreign direct investment increases the GDP by 1.5 percent and 12.9 percent in the long run respectively. Review Article Maheswaranathan; SAJSSE, 6(1): 21-31, 2020; Article no.SAJSSE. 54893 22
Knowledge of modern contraceptives and their use among rural women of childbearing age in Rivers State Nigeria

Background: The use of modern contraceptive (MC) is a cost-effective public health measure for reducing maternal deaths due to unintended and high-risk pregnancies. In Nigeria, efforts have been made by government and nongovernmental organizations toward improving access to family planning services. The impact of this effort among rural women in Rivers State, Nigeria, however, is insufficiently documented hence the need for this study. Subjects and Methods: A total of 380 rural women of childbearing age in Rivers State, Nigeria, were recruited by a multistage random sampling method using a cross-sectional descriptive design. Respondents provided information on their socioeconomic background, sources of information and knowledge of MCs, contraceptive use, and the reasons for use or nonuse of contraceptives. Data were analyzed with SPSS version 15 and the level of statistical significance was set at P = 0.05. Results: Almost all (n = 378; 99.5%), the rural women had awareness of MCs, but only 238 (63.0%) had good knowledge of it. The most common known methods were the male condom (n = 255; 67.1%) and injectables (n = 190; 50.0%). Those in current use of any MC method were 140 (36.8%) while only 86 (22.6%) used it consistently. Male condom was the commonly used method. Conclusion: Although the awareness of MCs among rural women in Rivers State Nigeria is high, their uses are unacceptably low. Family planning education should be provided for community-based health-care givers; mass media efforts need to be intensified in local languages.
Review on different ATP techniques for laser communication

Higher data rate is core requirement of any communication system. Traditional RF communication link has limited supported data rate in terms of Mbps. Nowadays laser is used instead of RF carrier in communication. Laser communication provides high security, low weight, low power consumption and lesser size for system. Laser communication can be established for ground to satellite which is known as FSO and also satellite to satellite which is known as DSOC. In FSO and DSOC there are platform disturbances which can disturb Line of Sight. To maintain Line of Sight for high data rate communication an embedded system is used which is ATP system. If line of sight is not aligned properly between receiver and transmitter data rate get slower or diminishes completely. This paper contains survey of various ATP techniques for FSO and DSOC.
Scene Representations from Focal Stack for Depth Estimation

This paper explores the use of focal stacks as deep learning scene representation embeddings to improve depth estimation with or without the focal stack at inference time. The general approach taken was to train a deep learning model to first create a scene embedding for each image and its focal length in the focal stack. These scene embeddings are then used to create a single combined scene embedding which is then sent through a decoder network to predict the depth map. The intuition is that this allows the network to learn the depth cues from varying blur in each image along with its focal length. More training would be desirable as the test performance is still improving but a few promising conclusions seem evident. The deep learning model is able to learn from the blur depth cues in the focal stack. Beyond learning how to render the depth map from the focal stack it also appears to have learned a prior on the common features of the depth maps such as the walls. This prior can improve on the sensory gathered depth maps much as a human’s grounding would be able to guess what would be in shadow based on what can be seen.
A Review Of Neurolaw And Its Contribution To The Judiciary

Neurolaw is an interdisciplinary research program which aims not only to re-examine the axioms of law but also to enrich it in term of methodology and evidence. Although historically there are cases of application of neuroscience in the legal sphere, rapid growth has been recorded only after 1990. The radical debate in the field is between two perspectives i.e. neuroscience will show that we don’t have free w ill and this will lead to nonassignment of responsibility for actions including legal one and secondly, that neuroscience will show that humans have free will and thus there will be no changes in the legal system. In, this paper we will migrate from these theoretical arguments, to access the infield contribution of neuroscience to the legal system i.e. neurolaw.
Pharmacokinetic profiles of levofloxacin after intravenous, intramuscular and subcutaneous administration to rabbits (Oryctolagus cuniculus)

Levofloxacin pharmacokinetic profiles were evaluated in 6 healthy female rabbits after intravenous (I/V), intramuscular (I/M), or subcutaneous (S/C) administration routes at a single dose of 5 mg/kg in a 3 × 3 cross-over study. Plasma levofloxacin concentrations were detected using a validated Ultra Performance Liquid Chromatography method with a fluorescence detector. Levofloxacin was quantifiable up to 10 h post-drug administration. Mean AUC0-last values of 9.03 ± 2.66, 9.07 ± 1.80, and 9.28 ± 1.56 mg/h*L were obtained via I/V, I/M, and S/C, respectively. Plasma clearance was 0.6 mL/g*h after I/V administration. Peak plasma concentrations using the I/M and S/C routes were 3.33 ± 0.39 and 2.91 ± 0.56 µg/mL. Bioavailability values, after extravascular administration were complete, - 105% ± 27% (I/M) and 118% ± 40% (S/C). Average extraction ratio of levofloxacin after I/V administration was 7%. Additionally, levofloxacin administration effects on tear production and osmolarity were evaluated. Tear osmolarity decreased within 48 h post-drug administration. All 3 levofloxacin administration routes produced similar pharmacokinetic profiles. The studied dose is unlikely to be effective in rabbits; however, it was calculated that a daily dose of 29 mg/kg appears effective for I/V administration for pathogens with MIC < 0.5 µg/mL.
Removal of ethylbenzene from air by graphene quantum dots and multi wall carbon nanotubes in present of UV radiation

Luminescent graphene quantum dots (GQDs) and multi wall carbon nanotubes (MWCNTs) as photocatalytic sorbent based on was used for removal of toxic ethylbenzene from air in present of UV-radiation. A novel method based on solid gas removal (SGR) based on GQDs and MWCNTs as an efficient adsorbent was used for ethylbenzene removal from air in Robson quartz tubes (RGT). After synthesized and purified of GQDs and MWCNTs, a system was designed for generation of ethylbenzene in air with difference concentrations, and then the mixture was moved to quartz tubes with UV radiation in optimized conditions. The ethylbenzene in air was absorbed on the 25 mg of GQDs or MWCNTs, desorbed from sorbent at 146oC and determined by GC-FID.
News focuses on individuals for rising health care costs

This study examines how the American news media have framed the question of who is responsible for rising healthcare costs in the United States. Commercial pressures seem to influence news media to focus less on such social-level causes as pharmaceutical companies, while patients—an individual-level cause—have been mentioned most frequently as being responsible for rising healthcare costs.
Editorial: adult education and the aesthetic experience

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TermEval: an automatic metric for evaluating terminology translation in MT

Terminology translation plays a crucial role in domain-specific machine translation (MT). Preservation of domain-knowledge from source to target is arguably the most concerning factor for the customers in translation industry, especially for critical domains such as medical, transportation, military, legal and aerospace. However, evaluation of terminology translation, despite its huge importance in the translation industry, has been a less examined area in MT research. Term translation quality in MT is usually measured with domain experts, either in academia or industry. To the best of our knowledge, as of yet there is no publicly available solution to automatically evaluate terminology translation in MT. In particular, manual intervention is often needed to evaluate terminology translation in MT, which, by nature, is a time-consuming and highly expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems are often needed to be updated for many reasons (e.g. availability of new training data or leading MT techniques). Hence, there is a genuine need to have a faster and less expensive solution to this problem, which could aid the end-users to instantly identify term translation problems in MT. In this study, we propose an automatic evaluation metric, TermEval, for evaluating terminology translation in MT. To the best of our knowledge, there is no gold-standard dataset available for measuring terminology translation quality in MT. In the absence of gold standard evaluation test set, we semi-automatically create a gold-standard dataset from English--Hindi judicial domain parallel corpus. We trained state-of-the-art phrase-based SMT (PB-SMT) and neural MT (NMT) models on two translation directions: English-to-Hindi and Hindi-to-English, and use TermEval to evaluate their performance on terminology translation over the created gold standard test set. In order to measure the correlation between TermEval scores and human judgments, translations of each source terms (of the gold standard test set) is validated with human evaluator. High correlation between TermEval and human judgements manifests the effectiveness of the proposed terminology translation evaluation metric. We also carry out comprehensive manual evaluation on terminology translation and present our observations.
abOut stress, ... Or abOut hans selye’s twO errOrs, cOnquered the wOrld

` Too broad understanding of the term “stress”, which Selye himself and his followers used in their popular science works, reduces its scientific value. Based on a brief analysis of examples of the ambiguity of the term “stress”, it is proposed to restore its research significance. For that, the concept of “stress” should be used more strictly and unequivocally and it would not be allowed to use a “commonly broad” understanding the term in scientific papers. In the frame of earlier Selye’s stress definition, it suggests a more detailed structuring of the term based on levels of studying of living objects, including genetic.
Emoticons and Text Analysis as context to Sentiment Analysis

Twitter is an online person to person communication benefit where overall clients distribute their feelings on an assortment of subjects, talk about current issues, and express constructive or antagonistic assessment for items they use in day by day life. Along these lines, Twitter is a rich wellspring of information for supposition mining and notion examination. In any case, opinion examination for Twitter messages (tweets) is viewed as a testing issue since tweets are short and casual. This paper around this issue by the investigating of images called feeling tokens, including feeling images. As indicated by perception, these feeling tokens are generally utilized. They specifically express one's feelings paying little heed to dialect, subsequently they have turned into a valuable flag for assessment examination on multilingual tweets. The paper way to deal with performing assumption examination, that can decide positive, negative and impartial slants for a tried theme items.
Diagnostic Criteria for the Asthma-COPD Overlap (ACO) Still Room for Improvement

In contrast with the remaining COPD phenotypes, patients with ACO present an elevated reversibility of airflow obstruction as well as a greater degree of eosinophilic bronchial inflammation, thereby demonstrating greater response to inhaled corticosteroid (ICS) treatment [2-4]. These characteristics are suggestive of asthma and can be explained by a history of asthma during youth being an independent risk factor for the development of COPD in smokers [5] (Figure 1).
5G TECHNOLOGY AND ADVANCEMENTS IN CONNECTED LIVING-COMPREHENSIVE SURVEY

: The fifth generation technology is a novel network platform that concentrates not only improving the mobile paradigm but extends the network to aid a huge set of heterogeneous devices and service. This evolving technology would change the present scenario in the world by providing a seamless connection with an increased capacity, lower latency and higher speed. The paper presents the comprehensive survey on the emerging 5G technology and it advancements in connected living
Perfect Attackability of Linear Dynamical Systems with Bounded Noise

This paper addresses the problem of secure state estimation in the presence of attacks on sensor measurements of a linear time invariant (LTI) system. We assume that the system is equipped with a common l0-based attack-resilient state estimator and a sound anomaly detector. We introduce the notion of perfect attackability (PA) for LTI systems with bounded noise, when the attacker may introduce an unbounded estimation error while remaining undetected by the anomaly detector. Finally, necessary and sufficient conditions for perfectly attackable systems are provided, and illustrated on examples.
Detecting EGFR mutations (L858R, T790M) using allele specific multiplex sequencing: A comparison with Pyrosequencing and TruSeq

We are presenting an evaluation of Allele Specific Multiplex Sequencing (ASMS) to detect two EGFR somatic mutations (L858R, T790M). Late stage lung cancer samples were tested for both EGFR mutations and were compared to either pyrosequencing or TruSeq. The analytical lower limit of detection (LLOD) for the ASMS-L858R assay was found to be 36 copies, and 72 copies for the ASMS-T790M assay. The forty-one FFPE samples that were tested for T790M showed 100% concordance with the respective comparative method. The forty-five FFPE samples tested previously by Truseq for L858R showed 100% concordance with ASMS. Out of the twenty L858R samples previously tested by pyrosequencing, there was 95% concordance with ASMS. Additionally, twenty-one normal blood samples were tested by ASMS were found to be negative for L858R and T790M. In conclusion, the detection of L858R and T790M by ASMS are in acceptable concordance with both pyrosequencing and TruSeq in detecting EGFR mutations from late stage lung cancer. Further, ASMS was able to detect EGFR (L858R) with 10 picograms (3 copies gDNA) of FFPE extracted DNA, and hence could be used to detect mutations from samples carrying low copy numbers.
Vitamin D status of pregnant Moroccan women during the last gestational trimester

This work is a prospective study that aims to evaluate the vitamin D status of Moroccan women during the last trimester of their pregnancy to establish the prevalence of hypovitaminosis D. We carried out, within the Mohammed V Military Teaching Hospital (HMIMV), a six-month prospective study on the vitamin status D of 152 Moroccan women during their last gestational trimester. Maternal blood was collected at the Gynecology-Obstetrics Department during the last prenatal visit or during the delivery process. Serum assays for 25 (OH) D3, PTH, calcium, phosphorus and PAL were performed in the HMIMV Biochemistry Laboratory. A questionnaire was developed to reveal different parameters influencing vitamin status. The vitamin D deficiency rate is very high in our study sample. We found 97.37% hypovitaminosis D (<30 ng / ml) of which 9.21% in insufficiency ([20-30] ng / ml), 88.16% in deficiency (<20 ng / ml). Statistical analysis shows no correlation between age and vitamin concentration (p = 0.933). We found a negative correlation between 25 (OH) D3 and parathormone (PTH) (p = 0.016, r = - 0.194) and observed a variation of 25 (OH) D3 according to the sun, the BMI and the pigmentation of the skin although no statistical relationship has been established. There is no association between physical activity and 25 (OH) D3 concentration (p = 0.331). We recommend the implementation of corrective measures that focus on vitamin D information campaigns. The pregnant woman should be encouraged to receive adequate nutrition and a balanced diet. Keys words: 25-hydroxy-vitamin D3, calciferol, pregnancy, hypovitaminosis D.
Original Carvacrol Alleviated Negative Effects of Diabetes on Inflammation and Oxidation by Modulation in Gene Expression of Inflammatory and Antioxidant System in Diabetic Rat Model

Background: Diabetes has been known as a prevalence disorder and the use of common drugs has been faced many issues with multiple limitations. This study aimed to evaluate the use of carvacrol, as a novel agent, for treatment of diabetes. Materials and Methods: A single dose of streptozotocin (55 mg/kg body weight) was used to induce the diabetes in rats. The animals were grouped into five groups including 1. Control healthy animals; 2. Diabetic controls; 3, 4 & 5. Diabetic animals given carvacrol (5, 10 and 15 mg/kg body weight/day) in neutral sterile olive oil solution oral gavage, respectively. The levels of Malondialdehyde (MDA) and catalase, Superoxide Dismutase (SOD) and Glutathione Peroxidase (GPX) activities were evaluated. The levels of IL-1β, IL-6 and TNF-α expression in liver were assessed. Results: Administration of streptozotocin increased levels of MDA, IL-1β, IL-6 and TNF-α and also decreased activities of catalase, SOD and GPX (P<0.05). Oral administration of carvacrol, especially 15 mg/kg body weight/day, could decrease levels of MDA, IL-1β, IL-6 and TNF-α and also increase activities of catalase, SOD and GPX in comparison to diabetic control (P<0.05). Conclusion: Carvacrol could decrease or alleviate the negative effects of carvacrol on inflammation and antioxidant status that could be attributed to antioxidant properties. It could be recommended to apply carvacrol in commercial prescription in combination with other agents or as a single agent for treatment of diabetes.
COPD_A_234042 367..377

1National Center for Chronic NonCommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, People’s Republic of China; 2School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia; 3Center of Respiratory Medicine, China–Japan Friendship Hospital, Beijing, People’s Republic of China; 4Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; 5Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China Purpose: COPD prevalence has rapidly increased in China, but the geographical disparities
New Approaches to SCLC Therapy: From the Laboratory to the Clinic

Small cell lung cancer patient outcomes have not yet been significantly impacted by the revolution in precision oncology, primarily due to a paucity of genetic alterations in actionable driver oncogenes. Nevertheless, systemic therapies that include immunotherapy are beginning to show promise in the clinic. While these results are encouraging, many patients do not respond to or rapidly recur after current regimens, necessitating alternative or complementary therapeutic strategies. In this review, we discuss ongoing investigations into the pathobiology of this recalcitrant cancer and the therapeutic vulnerabilities that are exposed by the disease state. Included within this discussion is a snapshot of the current biomarker and clinical trial landscapes for small cell lung cancer. Finally, we identify key knowledge gaps that should be addressed in order to advance the field in pursuit of reduced small cell lung cancer mortality. This review largely summarizes work presented at the Third Biennial IASLC Small Cell Lung Cancer Meeting.
A Reliable Pressure Strain Correlation Model for Complex Turbulent Flows

Developing an accurate and reliable model for the pressure strain correlation is a critical need for the success of the Reynolds Stress Modeling approach. This is challenging because replicating the non-local effects of pressure using a modeling basis composed of local tensors is limiting. In this paper we use physics based arguments and analysis of simulation data to select additional tensors to extend this modeling basis for pressure strain correlation modeling to formulate models with improved precision and robustness. We integrate these tensors in the modeling basis and develop separate models for the slow and rapid pressure strain correlation. This complete pressure strain correlation model is tested for different turbulent flows and its predictions are compared to prior pressure strain correlation models. We show that the new model with an extended tensor basis is able to show improvements in accuracy and reliability.