Miracle-dz/UniFAR-FTUs huggingface dataset:
Memory Constraints on Cross Situational Word Learning

A simple memory component is amended to local (“Pursuit”; Stevens, Gleitman, Trueswell, and Yang (2017)) and global (e.g., Yu and Smith (2007); Fazly, Alishahi, and Stevenson (2010)) models of cross-situational word learning. Only a finite (and small) number of words can be concurrently learned; successfully learned words are removed from the memory buffer and stored in the lexicon. The memory buffer improves the empirical coverage for both local and global learning models. However, the complex task of homophone learning (Yurovsky & Yu, 2008) proves a more decisive advantage for the local model (dubbed Memory Bound Pursuit; MBP). Implications and limitations of these results are discussed.
Dietary Supplementation with Omega-3 Alpha- Linoleic Acid and Polyunsaturated Fatty Acids (Pufas): A New Therapeutic Protocol Additional to Scaling and Root Planing in the Treatment of Chronic Periodontitis: A 6 Months Follow Up

Objectives: Periodontitis is a chronic inflammatory disease with a multifactorial etiology. In the literature, numerous adjuvant treatments have been introduced for the treatment of this pathology. Recently, polyunsaturated fatty acids (PUFAs) have been shown to have anti-inflammatory therapeutic properties in chronic inflammatory diseases, including periodontitis.The aim of this pilot study was to investigate the effect of 6 months dietary supplementation with Omega 3, α-linolenic acid (ALA) and PUFAs (Freia Alfalife Farmaceutici Srl)following Scaling and Root Planning (SRP) in patients affected by chronic periodontitis. Methods: Twenty-four participants with moderate chronic periodontitis were enrolled in our randomised, placebo-controlled trial. The control group (CG=12) was treated with SRP and given a placebo; the treatment group (TG=12) was treated with SRP and dietary supplementation of 3g daily of alphalife (Freia Farmaceutici Srl). Probing depth (PD), clinical attachment level (CAL), bleeding on probing (BOP) and modified sulcus bleeding index (SBI) were recorded at baseline and after 6 months. Results: CAL, PD, BOP and SBI were significantly improved in both groups after 6 months (p< 0.001). After 6 months CAL improved significantly better in the test than in the control group (p< 0.001), also PD in the tendency (p = 0.1). BOP improved better in the test group after 6 months (p = 0.065). Conclusion: Our results suggest PUFAs can significantly reduce periodontal parameters following SRP. Therefore, dietary supplementation may have potential benefits in the treatment of patients with chronic periodontitis. Keywords α-linolenic acid (ALA);Adjuvant treatment;Chronic periodontitis;Dietary Supplements;Omega-3;Polyunsaturated fatty acids (PUFAs).
COMPARISON OF STRENGTHENING EXERCISE AND RANGE OF MOTION (ROM) TO DECREASE THE INTENSITY OF PAIN IN THE ELDERLY WITH OSTEOARTHRITIS IN SIMPANG TIGA PEKABARU HEALTH CENTER

Osteoarthritis is a degenerative disease, which is experienced by elderly that characterized by pain in the lower extremities and its prevalence increases by getting older. Non-pharmacological management is a very important component to solved pain with Strengthening Exercise and Range of Motion (ROM) exercises. This study aims to determine the comparison of Strengthening Exercise and Range of Motion (ROM) to decrease the intensity of pain in the elderly with Osteoarthritis in Simpang Tiga Pekabaru Health Center. This type of quantitative research, quasy experiment design with pre-test and post-test design. The number of respondents was 28 people, Strengthening Exercise 14 people and Range of Mation (ROM) 14 people. This research used Purposive sampling technique. Data analysis by dependent T-test and Independent T-test. The results showed that there was a significant comparison between Strengthening Exercise and Range of Mation (ROM) to decrease pain intensity with p <0.05 (p = 0.000). In conclusion Strengthening Exercise is more effective in reducing pain intensity in the elderly with osteoarthritis. Suggestion Strengthening Exercise is more recommended as a treatment for mild and moderate pain intensity in osteoarthritis than in Range of Mation (ROM) Keyword : Strengthening Exercise, Range Of Mation, Osteoarthritis, elderly
Measuring the efficiency of tourism sector in Sri Lanka: An extension of the method to stochastic frontier analysis

The research was conducted to examine the performance of Sri Lanka's tourism industry. Secondary data was obtained from the annual reports of the Sri Lanka Tourism Development Authority. The inefficiency in tourist arrival, total annual receipts and per day receipt from a tourist were estimated using Stochastic Frontier Analysis (SFA) between the periods from 1970 to 2019. And the factors influencing on the above tree inefficiencies were estimated combined with Cobb–Douglas frontier function under the assumption of half-normal distribution. The study found that the efficiencies were 86.2 %, 78.4 %, and 89.6 % respectively in tourist arrival, tourist receipts and per day receipts. The productivity of both the number of tourist arrivals and the overall reception of tourists was significantly (p<0.05) increased by the number of indirect jobs involved in tourism activities and the number of beds available for accommodation. Tourist arrival inefficiency could be substantially (p<0.05) improved by embarkation tax. Similarly, the number of international conferences held in BMICH significantly (p<0.05) had a negative impacted on the inefficiency of Sri Lanka's tourist arrival and tourism receipts. The present study revealed that growing investment in conference halls will create an opportunity to start more international conferences and symposiums to increase the efficiency of the tourism industry in Sri Lanka instead of investing more in rooms and direct recruitment to the tourism sector.
Investigation of Different Aspects of Image Quality

Image quality is a fundamental problem in computer vision. For variety of applications, for instance scanning documents, QR codes, bar codes or algorithms like object detection, recognition, tracking, scene understanding etc. images with good contrast, high illumination and sharpness are desired. Similarly in computer graphics for information visualisation, animations, presentations etc. aesthetically pleasing design and good colorization of the images are desired. Therefore the definition of image quality depend on the context and application of the image. In this thesis we attempt to address various challenges pertaining to image quality, (1) for natural imaging, we explore a novel approach for predicting the capture quality of the images taken in the wild. (2) For Graphics designs, we explore the aesthetic quality of images by suggesting multiple aesthetically pleasing colorization of graphics designs. Due to increasing advancements and portability of smartphone cameras, it has become a default choice for capturing images in the wild. However, there are quality issues with camera captured images due to reasons like lack of stability during capture process. This hinders the automatic workflows which takes camera captured images as input e.g. Optical Character Recognition (OCR) for documents image, face detection/recognition from human image etc. Part of this thesis is focused on Image Quality Assessment (IQA), the aim is to quantify the degradation like out-of-focus blur and motion artefacts in a given image. One of the major challenge in IQA for images captured in the wild is that, we do not have ground truth to measure the capture quality. Therefore various previous attempts of IQA require human in loop for creating the ground truths for capture quality of images. Large user studies are conducted and mean human opinion scores are then used as measure for quality. In this work we use a signal processing based technique to generate the IQA ground truth, and propose a comprehensive IQA dataset which is a good representative of the real degradation during the process of capture. Further, we propose deep learning based approach to predict image quality for captures in the wild. Such IQA algorithm can be helpful in the cause by either giving online quality suggestion during capture or rating the quality post capture. Another dimension to the image quality is aesthetic quality. Increasing usage of internet, social media and advancement in the mobile camera, photography has become a very popular hobby and interest to a large section. Even for a well captured image, people use varieties of filters and effects post capture to enhance the appearance of the image e.g. adjusting color temperature, contrast or even blurring part of
Optimal parameters for the enhancement of human osteoblast-like cell proliferation in vitro via shear stress induced by high-frequency mechanical vibration

Introduction: Biomechanical stimulation of cultured human osteoblast-like cells, which is based on controlled mechanical vibration, has been previously indicated, but the exact mechanical parameters that are effective for cells' proliferation enhancement are still elusive due to the lack of direct data recordings from the stimulated cells in culture. Therefore, we developed a low friction tunable system that enables recording of a narrow range of mechanical parameters, above the infrasonic spectrum, that applied uniformly to human osteoblast-like cells in monolayer culture, aiming to identify a range of mechanical parameters that are effective to enhance osteoblast proliferation in vitro. Methods: Human osteoblast-like cells in explant monolayer culture samples were exposed to mechanical vibration in the 10-70Hz range of frequencies for two minutes, in four 24 hours intervals. Cell numbers in culture, cellular alkaline phosphatase activity (a marker of cell maturation), and lactate dehydrogenase activity in culture media (representing cell death) were measured after the mechanical stimulation protocol application and compared statistically to the control cell cultures kept in static conditions. The cell proliferation was deduced from cell number in culture and cell death measurements. Results: We found that 50-70 Hz of vibration frequency protocol (10-30 μm of maximal displacement amplitude, 0.03g of peak-to-peak acceleration) is optimal for enhancing cells' proliferation(p<0.05), with a parallel decrease of their maturation (p<0.01). Discussion: We detected the optimal mechanical parameters of excitation protocol for induction of osteoblast proliferation in vitro by a mechanical platform, which can be used as a standardized method in the research of mechanotransduction in human osteoblast.
A comparative analysis of machine learning techniques for automatic text classification

Text processing and its related activities have reached its peak demand in the present days due to the increase of unstructured data. The underlying structure in any text can be derived through categorization techniques. The capacity of text classification algorithms to perform the conversion from structured to unstructured data is the key factor in all text processing activities. To further enhance this, many concepts from other disciplines such as statistics, physics and mathematics were tailored to suit the needs of text analyzing pipelines. Text classification techniques help to build the template necessary for extracting meaningful information. Hence, this paper undertakes a study of comparison on various text classification algorithms to reiterate their suitability for particular classes of problems. The algorithms such as ‘Naïve Bayes’, ‘Support Vector Machine’, ‘K-nearest neighbour’ and ‘Decision Tree’ were studied based on empirical analysis with respect to WEKA data analysis platform. From the experimental results, it is seen that the strength of algorithms depended on the data type, nature of attributes and representation of the classes. This is verified by various accuracy metrics used in the study such as precision, recall, accuracy, F1-scores and ROC values.
Microsoft Word-81655030-file00

TNO, Zeist, The Netherlands (E.S., I.H.G.N., K.C.M.V., R.H., D.R., M.L.H.V., J.D., M.V., and H.M.W.); Pharmacology and Toxicology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands (R.G., M.S., and F.G.M.R); Drug Metabolism and Pharmacokinetics, Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (M.T.H. and M.M) DMD Fast Forward. Published on December 17, 2012 as doi:10.1124/dmd.112. 049023
Prevalence of Hypertension Among Adults in Rural Setting in Nigeria: The Need for Paradigm Shift in Prevention and Control

Background: Hypertension is a chronic non-communicable medical condition that often leads to complication such as coronary heart disease, renal failure, peripheral vascular disease, retinal hemorrhage and visual impairment, amongst others. It is usually perceived to be more associated with urban/city lifestyle than rural living, but sociodemographic and socio-economic drivers of hypertension in the population are in recent instance generally impactful even in rural setting which can influence changing pattern of the disease. Aim of Study: The study aimed to determine the prevalence of hypertension and level of awareness on risk of hypertension among adults with gender differential in Kpansia, Bayelsa State as a typical rural community in Nigeria. Materials and Methods: A descriptive cross-sectional study design was used to study 230 adults aged between 18-59 years in Kpansia community who were selected by multi-stage sampling technique. Blood pressure was measured using sphygmomanometer and stethoscope held at the left arm of the subjects, using systolic and diastolic blood pressure threshold of ≥140mmHg and ≥90mmHg respectively. Data was analyzed using SPSS version 23 and descriptive method used in presenting characteristics of respondents. Results: The overall systolic and diastolic hypertension among study population were 18.7% and 25.7% respectively. While systolic hypertension among males and females were 21.7% and 16.1% respectively, indicating 5.6% males’ disadvantage predisposition to systolic hypertension whereas diastolic hypertension among males and females in the study population were 32.1% and 20.2% respectively, indicating 11.9% males’ disadvantage predisposition to diastolic hypertension. Furthermore, both the systolic and diastolic prevalence of hypertension were significantly higher [t-test P-Value (Sig 2-tailed) = 0.000] in males than females of the study population. There was also significant difference on level of awareness on risk of hypertension between males and females of the study population based on place of information, knowledge and symptoms of hypertension with p-value x2 = 0.000 in all instances. Recommendation/Conclusion: Paradigm shift towards rural community’s focused prevention and control enlightenment campaigns on the risk factors of hypertension are necessary to tackle the burden of hypertension in our setting with gender differential in focus. Research Article
Practical Real Time Recurrent Learning with a Sparse Approximation

Recurrent neural networks are usually trained with backpropagation through time, which requires storing a complete history of network states, and prohibits updating the weights ‘online’ (after every timestep). Real Time Recurrent Learning (RTRL) eliminates the need for history storage and allows for online weight updates, but does so at the expense of computational costs that are quartic in the state size. This renders RTRL training intractable for all but the smallest networks, even ones that are made highly sparse. We introduce the Sparse n-step Approximation (SnAp) to the RTRL inﬂuence matrix. SnAp only tracks the inﬂuence of a parameter on hidden units that are reached by the computation graph within n timesteps of the recurrent core. SnAp with n = 1 is no more expensive than backpropagation but allows training on arbitrarily long sequences. We ﬁnd that it substantially outperforms other RTRL approximations with comparable costs such as Unbiased Online Recurrent Optimization. For highly sparse networks, SnAp with n = 2 remains tractable and can outperform backpropagation through time in terms of learning speed when updates are done online.
Investigating the Relationship between Fair Value Accounting of Non- Current Assets and Audit Fees in Listed Companies in Tehran Stock Exchange

The aim of this study was to investigate the relationship between fair value accounting of noncurrent assets and audit fees in listed companies in Tehran Stock Exchange. This research is a kind of applied-correlational research. Data were collected by using reported information in the financial statements of companies listed on the Stock Exchange of Tehran. In order to realize the study objectives, five hypotheses have been developed. The statistical samples included 60 companies during the five years period from 2009 to 2013. To analyze the data, Excel and Eviews 7 software have been used. To assess the hypotheses, regression, Hasmr and F Limer tests were used that the results of this research show that revaluation of the balance sheet, profits and losses and revaluation of cash flow statement to audit fees has a significant relationship.
Clinical and laboratory profile of urban sporotrichosis in a tertiary hospital in the city of São Paulo

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Space policy drives innovation through technological procurement: evidence from Italy

To what extent public procurement for mission-oriented policies drives innovation? Space policy is a particularly interesting case study, and we investigate the impact of technological procurement of the Italian Space Agency (ASI) on suppliers’ innovation output. We have built an empirical model that takes advantage of unique data on ASI orders merged with patent and company data of more than 460 firms involved in a procurement relationship with ASI over the period 2004-2018. We combine matching techniques with a diff-in-diff approach with heterogeneous timing in treatment to assess whether becoming a space agency technological supplier has an impact on the extent and quality of firms’ patenting activity. Our findings, that are novel for space policy studies, suggest a statistically significant effect of space agency procurement. The effect is stronger for high-tech suppliers. These results are robust to several alternative specifications and estimation methods and provide evidence about the importance of space policy in enhancing firms’ innovation capacity through the procurement pathway.
THE RELATIONSHIP BETWEEN HOPE OPTIMISM PHYSICAL ACTIVITY AND INVOLUNTARY ABSENTEEISM

This study examined the relationship between hope, optimism, physical activity and involuntary absenteeism. White-collar employees from various South African organisations completed an electronic questionnaire comprised of Likert-type scale items relating to Psychological Capital (PsyCap), as measured by the constructs of hope and optimism; participation in physical activity, either that resulting from engaging in physical exercise or household chores; and absenteeism from the workplace. The sample of 163 comprised males and females, ranging from 18 to 68 years old, and represented all ethnic groups. The results demonstrated a positive relationship between hope and participation in physical activity and between participation in chores and involuntary absenteeism. The findings of this study, supported by strong consensus in the literature, demonstrate the active role played by physical activity in increasing the physical and mental well-being of employees. Through providing health and wellness programmes that stimulate positive psychology and exercise, organisations are able to benefit from healthier employees and reduce the chances of employees becoming ill and staying away from work.
THE IMPORTANCE AND CHALLENGES OF OUTCOME- BASED EDUCATION – A CASE STUDY IN A PRIVATE HIGHER EDUCATION INSTITUTION

Purpose – Given the importance of quality assurance and the enhancement of curriculum in higher education institutions, it is vital to have a systematic process that measures students’ performance objectively and effectively for continuous improvement of the programme/curriculum. The purpose of this study is to analyse the process of establishing an Outcome-Based Education (OBE) system in a business school of a private higher education institution in Malaysia. The importance and challenges of the OBE system are discussed, with some recommendations proposed for common issues. Methodology – Document analyses and observations were conducted on ten undergraduate programmes in the business school of a private higher education institution from the year 2015 to 2019. This methodology was employed to assess and discuss the processes needed for the implementation of OBE, and highlights the importance and challenges of having an OBE system in the business school. 254 Malaysian Journal of Learning and Instruction: Vol. 17 (No. 2) July 2020: 253-278 Findings – To ensure effective functioning of the process for implementing an OBE system, proper planning is required. Data from the OBE system and its utilisation are essential to achieve continuous quality improvement to the curriculum, and to offer assurance to the relevant stakeholders on the quality of graduates. Several steps were discussed in this study that provided guidance to other education institutions on the implementation of the OBE process. However, it is clear that the investment of time and effort is needed to ensure the smooth-running of OBE establishment and maintenance. Significance – This study provided essential guidelines to relevant parties for the implementation of an OBE system in education institutions. The OBE system is needed to measure students’ performance objectively and effectively, while enriching the students’ learning experiences. This study highlighted some recommendations to the management of the education institution, policy makers, accrediting bodies and academics on the implementation of an OBE system in the education institutions.