Miracle-dz/UniFAR-FTUs huggingface dataset:
LARGE DETERMINANT OF GREENHOUSE GAS EMISSIONS DISCLOSURE IN INDONESIA

The purpose of this study is to examine the influence of corporate governance and financial performance toward th e g reenhouse gases disclosure. Study in the companies listed in Bursa Efek Indonesia (BEI) for the year 2014-2017. This study used secondary data from sustainability report dan company’s annual report. The sampling technique used purposive sampling. Sample of this study consist by 13 companies in four year to 52 companies. Data was analyzed by multiple linier regression. As for data processing using SPSS. The result of this study showed that environmental management system, environmental committee, leverage, and board independence has no effect to greenhouse gases disclosure. While profitability, capital expenditure, company size, and financial slack has effect positive and significant to greenhouse gases disclosure. Keywords: greenhouse gases disclosure, environmental management system, environmental committee, capital expenditure, financial slack.
A method of core wire extraction from point cloud data of rebar

In recent years, reinforced concrete has been widely used as a building material having high strength. However, when the arrangement of the reinforcing bars embedded in the inside are not correct, there is a problem that the strength drops greatly. Therefore, when use reinforced concrete, it is necessary to confirm whether the reinforcing bars are correctly arranged. In this paper, we propose a method of thinning of point clouds scanned by range scanner from reinforcing bars, and extracting the core wires of point clouds by introducing a concentration distribution function. This process moves points according to a gradient field of a concentration field. In addition, we conducted an experiment to confirm the effectiveness of the proposed method. As a result of the experiment, it was confirmed that the core wires can be extracted from the point clouds of the reinforcing bars.
BACK TO THE FUTURE?

Language evolves over time in many ways relevant to natural language processing tasks. For example, recent occurrences of tokens ’BERT’ and ’ELMO’ in publications refer to neural network architectures rather than persons. This type of temporal signal is typically overlooked, but is important if one aims to deploy a machine learning model over an extended period of time. In particular, language evolution causes data drift between time-steps in sequential decisionmaking tasks. Examples of such tasks include prediction of paper acceptance for yearly conferences (regular intervals) or author stance prediction for rumours on Twitter (irregular intervals). Inspired by successes in computer vision, we tackle data drift by sequentially aligning learned representations. We evaluate on three challenging tasks varying in terms of time-scales, linguistic units, and domains. These tasks show our method outperforming several strong baselines, including using all available data. We argue that, due to its low computational expense, sequential alignment is a practical solution to dealing with language evolution.
Effects of Minimum Wage on Import and Innovation: Theory and Evidence from China

This study explores the heterogeneous effects of minimum wage on innovation of different types of firms. Using firm-level data in China, we find that a higher minimum wage is associated with more innovation by importing firms but less innovation by non-importing firms. To interpret these empirical findings, we develop an open-economy R&D-based growth model and find that a higher minimum wage reduces innovation of firms that use domestic inputs but increases innovation of firms that import foreign inputs. Intuitively, when a higher minimum wage reduces employment, importing firms respond by importing more inputs, which have technology spillovers and enhance their innovation.
Implementing Zero Waste Fashion in Apparel Design

The fashion industry is one of the largest contributors to the economy in Indonesia. However, this industry is the producers of both pre-production and post-production waste in large quantities causing environmental pollution. To meet the needs of consumers for fashion products, this industry actively design or renewing the design of apparel, resulting fabric waste from production in significant quantities during the process. Currently, there are varying viewpoints from practitioners and academics who argue that in order to reduce waste, the effort will be optimized when done during the pattern making and cutting process. Since the year 2008, the concept of zero waste fashion design or better known by the acronym ZWFD has been widely studied and practiced by students, academics, and practitioners in the field of fashion that has interest in the issues of waste pre-production and its influence on the environment. ZWFD itself refers to the steps to produce apparel with the minimum waste from fabrics during the pattern making and cutting process. This research aims to examine how the concept of ZWFD can be implemented in the course of design and apparel production. Characteristic of the fabric used in this experiment is first identified in order to deliver the possible way to work with the fabric in a three dimensional form. Furthermore, the experiment process continues until a certain form and and a lowest waste percentage is achieved. The final result of this research is a garment with as much as seven different looks from one key pattern with two different pattern making methods, namely flat pattern cutting and draping. Keywords : Apparel, Draping, Zero Waste
Variability of visible and near-infrared (vis-NIR) diffuse spectral reflectance of cement-based solidified/ stabilized pre-treated oil-based drill cuttings

This study investigated the effects of solidification/stabilization (S/S) variables on visible and near-infrared (vis-NIR) spectral reflectance of solidified/stabilized low-temperature thermally desorbed (pre-treated) oil-based drill cuttings. Partial least squares (PLS) regression models were also developed to rapidly estimate the levels of total petroleum hydrocarbon (TPH), Cu, and Ba present in the solidified/stabilized matrix. Composite samples of the drill cuttings were collected from a drill cutting Treatment Company in the Niger Delta region (5.317°N and 6.467°E), Nigeria and subjected to cement-based S/S. Reference TPH analysis was done by gas chromatography mass spectrometry and heavy metals by flame atomic absorption spectrometry. Sample optical measurement was carried out with a portable fibre-optic LabSpec2500® vis-NIR spectrophotometer (350–2,500 nm) (PANalytical, Boulder, CO, USA). Results show that spectral absorption minima observed around 1411, 1759, 1950, and 2204 nm in the NIR band are linked to relics of hydrocarbon-based oil, oxides of metallic ions, sulphate, and water (but not necessarily in that order). Spectral reflectance increased with drill cuttings addition, days of curing, and water-to-cement ratio. PLS model predictions were almost good for Cu (validation residual prediction deviation [RPD] = 1.97) and excellent for both TPH and Ba (RPDs = 2.41 and 3.45, respectively). Hence, vis-NIR diffuse reflectance spectroscopy is a potential means for semi-quantitative measurement of the levels of TPH and heavy metals present in cement-based solidified/stabilized pre-treated oil-based drill cuttings. Key words: Characterization, hazardous waste management, near-infrared spectroscopy, solidification/ stabilization, hydrocarbons, heavy metals
Nigella sativa Extract and Thymoquinone Regulate Inflammatory Cytokine and TET-2 Expression in Endothelial Cells

Many natural compounds in particular flavonoids and polyphenols have been studied for their potential antiinflammatory actions. Nigella sativa (N. sativa) commonly known as black cumin is a spice, demonstrating anti-inflammatory, antidiabetic, antimicrobial and anticancer properties [1–3]. The spice is from the botanical Ranunculacea family and is found in North Africa, Southern Europe, India and the Middle East and has been used as herbal medicine in the treatment of several diseases including asthma, chronic headaches and skin disorders. Several compounds are present in Nigella seeds including Thymoquinone (TQ), thought to be its main active compound, as well as nigellicine, thymol and carvacol [4,5].
Environmental behaviour and choice of sustainable travel mode in urban areas: comparative evidence from commuters in Asian cities

Abstract Promoting pro-environmental travel modes is an important strategy for sustainable transportation. Previous studies have shown a positive relationship between environmental awareness and environmental-friendly travel modes, but very few studies have considered pro-environmental behaviour and choice of travel mode, particularly in the context of non-Western countries. This study examines the impact of pro-environmental behaviour on the choice of commuting mode in Tokyo, Beijing, Shanghai and Singapore using original survey data. We use the Multiple Indicator Multiple Cause model to construct latent variables of environmentally friendly behaviours. The multinomial logistic regression results indicate that (1) pro-environmental activities and commuting mode choice are unrelated in Tokyo and Singapore, (2) recycling and energy-savings activities are positively related to commuting by bicycle/on foot in Beijing, and (3) participants in organised pro-environmental activities are less likely to use pro-environmental commuting modes in Beijing and Shanghai. The results provide supporting evidence of the habit discontinuity hypothesis and suggest a possible substitution effect between environmentally friendly travel mode choice and other environmental activities.
Diagnosis of Left Ventricular Hypertrophy Based on Electrocardiogram Signal and Fuzzy Logic

Sokolow – Lyon index in detection of left ventricular hypertrophy is a hard limited index, so the clinical manifestation of the disease can be ignored when the measured index is near the threshold. Several proposed studies incorporate multiple index to improve diagnostic quality. However, the process of examination and diagnosis will be longer due to the need to collect more data. To solve this problem, the paper proposes a method of classifying left ventricular hypertrophy using fuzzy logic combining with digital signal processing techniques. The proposed method mainly uses the Sokolov-Lyon index (SV1+RV5/V6 ≥ 35 mm) for major changes in ECG signal but with four soft thresholds corresponding to the different clinical manifestations of the disease. In addition, a program is written in C++ language with QT Creator compiler also is developed to implement the algorithm. From there, the doctors can refer and propose to the patient's treatment regimen. Keywords ECG, left ventricular hypertrophy, signal processing, fuzzy logic. References [1] Malcolm S. Thaler, The only EKG book, seventh ed. Lippincott Williams & Wilinks, Philadelphia, 2012. [2] Vakili BA, Okin PM, Devereux RB, Prognostic implications of left ventricular hypertrophy, Am Heart J, 141(3) (2001) 334-341.https://doi.org/10.1067/mhj.2001. 113218. [3] Tran Do Trinh, Tran Van Dong, How to read EGC signal, Medical Publishing House, 2011 (in Vietnamese). [4] Himanshu Gothwal1, Silky Kedawat1, Rajesh Kumar, Cardiac arrhythmias detection in an ECG beat signal using fast fourier transform and artificial neural network, J. Biomedical Science and Engineering 4 (2011) 289-296.https://doi.org/10.4236/jbise.2011. 44039. [5] El-Sayed A. El-Dahshan, Genetic algorithm and wavelet hybrid scheme for ECG signal denoising, Journal of Telecommunications Systems 46(3) (2011) 209-215.https://doi.org/10.1007/s11235-010-9286-2. [6] C. Li, C. Zheng, and C. Tai, Detection of ECG characteristic points using wavelet transforms, IEEE Trans.Biomed. Eng 42(1) (1995) 21-28.https://doi.org/10.1109/10.362922. [7] A.K. M. Fazlul Haque1, Md. Hanif Ali1, M. Adnan Kiber2 and Md. Tanvir Hasan, Detection of small variations of ECG features using Wavelet, ARPN Journal of Engineering and Applied Sciences 4(6) (2009) 27-30. [8] Krimi Samar, Ouni Kas, Noureddine Ellouze, Using Hidden Markov Models for ECG Characterisation, Hidden Markov Models, Theory and Applications, 4 (2011) 151-165.https://doi.org/10.5772/13916. [9] Van Ngoc Tuyet, Bang Ai Vien, Nguyen Van Tri, Medical Journal Ho Chi Minh city, Diagnosis of left ventricular hypertrophy by ECG I 15(1) (2011) 135-140 (in Vietnamese). [10] Buckley, James J., Eslami, Esfandiar, Introduction to Fuzzy Logic and Fuzzy Sets, Physica-Verlag Heidelberg, Berlin, 2002. [11] Phan Xuan Minh, Nguyen Doan Phuoc, Fuzzy Control Theory, Science and Technics Publishing House, Ha Noi, 2006 (in Vietnamese).
SEMANTIC FRAMING OF COMPUTER VIRUSES: THE STUDY OF SEMANTIC ROLES’ DISTRIBUTION

Просьба ссылаться на эту статью в русскоязычных источниках следующим образом: Isaeva E. V. , Crawford R. Semantic Framing of Computer Viruses: the Study of Semantic Roles’ Distribution // Вестник Пермского университета. Российская и зарубежная филология. 2019. Т. 11, вып. 1. С. 5–13. doi 10.17072/2073-6681-2019-1-5-13 Please cite this article in English as: Isaeva E. V. , Crawford R. Semantic Framing of Computer Viruses: the Study of Semantic Roles’ Distribution. Vestnik Permskogo universiteta. Rossiyskaya i zarubezhnaya filologiya [Perm University Herald. Russian and Foreign Philology], 2019, vol. 11, issue 1, pp. 5–13. doi 10.17072/2073-6681-2019-1-5-13 (In Eng.)
ASSESSMENT OF THE PHYSICAL DEVELOPMENT OF PRE-SCHOOL AND PRIMARY SCHOOL CHILDREN PRACTISING ARTISTIC GYMNASTICS

Background: Artistic gymnastics is one of the few sports that pre-school children can practise. It develops basic physical skills and body symmetry. However, for the achievement of these characteristics, an individual approach to the training process appears to be a crucial factor, especially for children. The adequate assessment of physical development is essential for individualising sports training. Thus, the aim of our study was to assess, using accessible methods, the physical development in pre-school and primary school children practising artistic gymnastics. Methods: The survey included 40 children (22 boys and 18 girls) between the ages of 4 and 12, engaged in gymnastics. Certain anthropometric (height, weight, body mass index (BMI)) and dynamometric (grip strength of the left and right hands) indicators were measured. The age dependent percentileand Zscores for each anthropometric indicator were calculated using specialized software of the World Health Organization (WHO). Results: According to BMI Z-scores, seven of the children, who were included in the study, were assessed as overweight. However, this group included gymnasts, with over two years of experience in sports and a low body fat percentage, who could not be defined as overweight children; greater sports experience led to equalization of grip strength in both hands and an increase in the arm muscle area. Conclusion: BMI does not provide an adequate assessment of the weight and physical development in child athletes with greater muscle mass. In these cases, additional indicators (% fat, muscle hypertrophy and dynamometry) for proper assessment of a child’s growth and development for the purpose of training practice should be included.
Evaluation of trade cumulus and the DualM parameterization in the ECMWF model

CALIPSO observations are used to assess trade cumulus cloudiness in three versions of the Integrated Forecasting System of the European Centre for Medium-Range Weather Forecasts. The observations are recast onto the model grid, and two simple threshold criteria for cloud top height and cloud fraction are used to identify grid points containing trade cumulus clouds. The cloud fraction and top height distributions of the sample populations are then compared. Results show that all versions of the model overestimate the frequency of occurrence of trade cumulus clouds, but underestimate their cloud fraction when present. These effects partially compensate. Cloud top heights are overestimated in model cycles using the modified Tiedtke parameterization for shallow convection, but are in very good agr eement with observations when the Dual Mass Flux parameterization is introduced.
Surgical and non-surgical procedures for eyebrow lift: systematic review and
 decision flowchart

Introduction: To review the medical literature regarding the surgical and non-surgical treatments of eyebrow ptosis and to present a decision flowchart for eyebrow lift. Methods: A systematic review of the literature available was held in PUBMED following inclusion and exclusion criteria. A flowchart was elaborated to systematize the approach to eyebrow ptosis based on the experience of the authors. Results: Several articles were included describing a variety of surgical and non-surgical correction techniques for eyebrow ptosis. The most common surgical approaches were internal eyebrow elevation, direct elevation, temporal elevation, and coronal/pretrichial/endoscopic rhytidoplasty. The non-surgical approaches found were botulinum toxin injections, fillers, and fixation threads. Conclusion: There are several surgical and non-surgical procedures described in the literature for lifting of the eyebrow, demonstrating that there is no ideal method for all patients. The use of a flowchart can help carry out a systematic and personalized approach according to the characteristics of each patient. ■ ABSTRACT
MARKETING STRATEGY FOR “SUSTAINABLE DESIGN” COMPANY IN FINLAND: Case Company: Start-up Whaly

Author(s) BU-SHAKRA, DARIA Type of publication Bachelor’s thesis Published Autumn 2019 Number of pages 51 pages 2 pages of appendices Title of publication MARKETING STRATEGY FOR “SUSTAINABLE DESIGN” COMPANY IN FINLAND Case Company: Start-up Whaly Name of Degree Bachelor’s Degree Program in International Business In the modern world dilemma of sustainability concerns everyone. Most people prefer to buy eco-friendly products, and therefore businesses aim to follow sustainable strategies and be environmentally responsible. The case company Whaly produces sustainable furniture for kids. So, the purpose of the thesis is to create a marketing strategy for Whaly, considering its eco-friendly policy. Moreover, tactical marketing is reviewed for the case company. The thesis is conducted deductively, and a mixed research method qualitative and quantitative is used to develop a marketing strategy. The primary data is collected from the survey with the potential customers, and focus group discussion. The secondary data is gathered from the literature review related to marketing concepts. In the thesis, SWOT analysis and STP model are used to create a marketing strategy for the case company. For tactical marketing, 7P’s marketing mix tool is used together with digital marketing concepts. The potential market is analyzed through PEST analysis and Porter’s five forces tool. The research findings indicate the following: the company’s main target group is women with the age of more than 26, with the high purchasing power, and who considers a company’s sustainability policy as the benefit. Moreover, the company should present itself as a highly customer-oriented, luxury business. Whaly can differentiate itself on the market with the unique design of the products, new assembly technology, and eco-friendly policy.
THE EFFECTIVENESS OF MCTS LEARNING MODEL TO IMPROVE CRITICAL THINKING SKILLS AND DISPOSITION

MCTS learning model (Making Critical Thinking Students) is a learning model that refers to self regulated learning and uses ICT as a learning media. The purposes of this study was to analyze the effectiveness of the MCTS model to improving the critical thinking skills and disposition of students. This research was carried out to physics education students of Palangka Raya University who was attended the research methodology lecture. The effectiveness of the MCTS learning model is based on (1) the results of critical thinking skills and disposition of students and (2) students respons to the model. The results of the study show that critical thinking skills of physics education students at Palangka Raya University have increased significantly, with α = 5%, N-gain average critical thinking skills are consistently at very high criteria. Critical thinking disposition of learning a significant increase in positive criteria. Physics education students at Palangka Raya University averaged 95.33% giving a positive respons to MCTS learning model and its devices. Conclusion based on the results of the study of the effectiveness of the MCTS learning model is effective applied in learning to improve the critical thinking skills and disposition of physics education students of Palangka Raya University as a candidate physics teachers.
Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization

Abstract. The concentration of cloud condensation nuclei (CCN) is an essential parameter affecting aerosol–cloud interactions within warm clouds. Long-term CCN number concentration ( NCCN ) data are scarce; there are a lot more data on aerosol optical properties (AOPs). It is therefore valuable to derive parameterizations for estimating NCCN from AOP measurements. Such parameterizations have already been made, and in the present work a new parameterization is presented. The relationships between NCCN , AOPs, and size distributions were investigated based on in situ measurement data from six stations in very different environments around the world. The relationships were used for deriving a parameterization that depends on the scattering Angstrom exponent (SAE), backscatter fraction (BSF), and total scattering coefficient ( σsp ) of PM 10 particles. The analysis first showed that the dependence of NCCN on supersaturation (SS) can be described by a logarithmic fit in the range SS %, without any theoretical reasoning. The relationship between NCCN and AOPs was parameterized as N CCN ≈ ( ( 286 ± 46 ) SAE ln(SS/( 0.093±0.006 ))(BSF − BSF min ) + ( 5.2±3.3 )) σsp , where BSF min is the minimum BSF, in practice the 1st percentile of BSF data at a site to be analyzed. At the lowest supersaturations of each site (SS ≈0.1 %), the average bias, defined as the ratio of the AOP-derived and measured NCCN , varied from ∼0.7 to ∼1.9 at most sites except at a Himalayan site where the bias was >4 . At SS >0.4 % the average bias ranged from ∼0.7 to ∼1.3 at most sites. For the marine-aerosol-dominated site Ascension Island the bias was higher, ∼1.4 –1.9. In other words, at SS >0.4 % NCCN was estimated with an average uncertainty of approximately 30 % by using nephelometer data. The biases were mainly due to the biases in the parameterization related to the scattering Angstrom exponent (SAE). The squared correlation coefficients between the AOP-derived and measured NCCN varied from ∼0.5 to ∼0.8 . To study the physical explanation of the relationships between NCCN and AOPs, lognormal unimodal particle size distributions were generated and NCCN and AOPs were calculated. The simulation showed that the relationships of NCCN and AOPs are affected by the geometric mean diameter and width of the size distribution and the activation diameter. The relationships of NCCN and AOPs were similar to those of the observed ones.