Miracle-dz/UniFAR-FTUs huggingface dataset:
Free Cash Flow, Investment, Capital Structure and Firm Value

: Shareholders are very interested in the company's performance and prospects, which are generally referred to as company value. Information of corporate value declining is not mitigated by companies that have many stakeholders. Literature shows that the following factors have an impact on company values such as free cash flow, investment and capital structure. Decreasing the value of the company can endanger all parties including investors. A supervisory system for company management decisions is needed to reduce losses and adverse effects of a decrease in company value. However, in-depth research on corporate value models that are influenced by free cash flow and investment through capital structures is still rarely done. The purpose of the study was to examine the effect of intervening variable of capital structure in the relationship between free cash flow and investment with firm value. The research population is non-banking companies listed on the Indonesia Stock Exchange in 2014-2016. The dependent variable of this study is company value and the independent variable is free cash flow and investment. Intervening variable is capital structure. Control variable is company size, audit quality and company growth. The results of multiple regression analysis show that free cash flow and investment have a positive effect on firm value. The results of this research also show that free cash flow and investment have a negative effect on capital structure. However, this study did not find the effect of capital structure on firm value. Hence, capital structure does not play a role as an intervening variable between free cash flow and investment with firm value.
Enhancement of sensory and nutritional quality of Sel‐roti by the incorporation of soy flour

Abstract Sel‐roti is a doughnut‐like deep‐fat fried, puffed, spongy, ring‐shaped, and fermented rice‐flour confectionary indigenous to Nepal. This study was aimed to enhance the sensory and nutritional quality of Sel‐roti by incorporating soy flour. The best product was selected by a series of sensory evaluations, and the nutritional quality was then compared with the control. Sel‐roti prepared by incorporating 10% of roasted soybean flour (RSF) had significantly superior (p < .05) sensory perceptions viz. color and appearance, texture, flavor, taste, and overall acceptance among the studied samples. The moisture, crude fat, crude protein, total ash, crude fiber, iron, calcium, and energy content in the best product were significantly increased (p < .05) by the incorporation of 10% RSF. However, total carbohydrates was significantly reduced (p < .05) at 10% RSF incorporation. The results can be used by food processors to formulate a batter for the production of Sel‐roti with enhanced sensory and nutritional properties.
Efficacy of a terpinen-4-ol based dipping for post-milking teat disinfection in the prevention of mastitis in dairy sheep

ABSTRACT Mastitis is the main cause of antibiotic use in dairy sheep. Post-milking teat disinfection is adopted to prevent intra-mammary infections. Use of chemical disinfectants is associated with biocide and antibiotic resistance. Terpinen-4-ol (T-4-ol), component of the Melaleuca alternifolia essential oil, shows antibacterial properties without inducing resistance. Aim of the trial was to evaluate the efficacy of a T-4-ol post-dipping compound in preventing bacterial mastitis in dairy sheep. In two different farms, two groups of 35 ewes were recruited as experimental and control arm (exposed to chlorhexidine-based disinfectant). No differences were observed during the follow-up. In one livestock, during the first year, 30-day incidence of mastitis was significantly lower in the T-4-ol group. Post-milking teat disinfection with T-4-ol showed equivalent efficacy in terms of mastitis incidence. Disinfectants based on natural compounds for mastitis prevention could potentially reduce environmental pollution, avoid drug residues in milk and decrease the antimicrobial resistance development.
Tunnel displacement prediction under spatial effect based on Gaussian process regression optimized by differential evolution

The prediction and analysis of surrounding rock deformation is a primary risk assessment method in tunnel engineering. However, the accurate prediction result is not easy to achieve due to the influence of multiple factors such as rock mass properties, support structure, and the spatial effect of tunnel construction. In this paper, a multivariate time-series model (MTSM) for tunnel displacement prediction is studied based on Gaussian process regression (GPR) optimized by differential evolutionary (DE) strategy, where the spatial effect is intuitively expressed through an extended time-series model. First, building learning samples for GPR, in which the inputs is the displacement data of the previous n days and the output is the data of the day (n + 1). Then, for each sample, an input item is added successively to form an expanded learning sample, which is the “distance between the construction face and monitoring section” on the day (n+ 1). Taking the root mean square error between the regression and measured data as the control index, the GPR model is trained to express the nonlinear mapping relationship between input and output, and the optimal parameters of this model are searched by DE. The displacement multivariate time-series model represented by DE-GPR is known as MTSM. On this basis, the applicability of GPR for tunnel displacement prediction and the necessity of DE optimization are illustrated by comparing the prediction results of several commonly used machine learning models. At the same time, the influence of GPR and DE parameters on the regression result and the computational efficiency of the MTSM model is analyzed, the recommendation for parameter values are given considering both calculation efficiency and accuracy. This method is successfully applied to the Leshanting tunnel of Puyan expressway in Fujian province, China, and the results show that the MTSM based on DE-GPR has a good ability in the deformation prediction of the surrounding rock, which provides a new method for tunnel engineering safety control.
Penyuluhan Kesehatan tentang Pentingnya Deteksi Dini Kanker Payudara dan Praktik Pemeriksaan Payudara Sendiri pada Remaja Putri melalui Zoominar

Pemeriksaan payudara sendiri atau SADARI hingga saat ini merupakan cara deteksi dini kanker payudara yang cukup efektif. SADARI mudah dilakukan dan bisa diterapkan kepada semua usia, baik remaja dan wanita dewasa. Dengan melakukan SADARI yang benar dan rutin, sebanyak 80 persen kanker payudara bisa ditemukan. Meski gerakan sangat mudah, nyatanya belum banyak wanita yang tergerak untuk melakukan SADARI. Penyuluhan deteksi dini kanker payudara dengan SADARI dilakukan dengan metode ceramah, demonstrasi dan praktik. Penyuluhan kesehatan terlaksana dengan baik. Sebagian besar peserta mengaku tidak mengerti tentang gejala kanker payudara dan mereka mengakui bahwa kegiatan ini memberikan banyak manfaat bagi mereka.
PENGARUH RASIO LIKUIDITAS, SOLVABILITAS, AKTIVITAS, DAN PROFITABILITAS TERHADAP INVESTMENT OPPORTUNITY SET (Studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia Periode 2014-2018)

he growth of the company is an expectation desired by all parties, either by internal parties (boardof commissioners, board of directors, staff, etc.) or external parties (investors or creditors). One ofthe parameters used to determine future investments in the Investment Opportunity Set. InvestmentOpportunity Set describes the breadth of investment opportunities for a company but is highlydependent on the company's future spending options. This study was conducted to provide empiricalevidence whether the financial ratio of liquidity, solvency, activity, and profitability affectsthe Investment Opportunity Set.The population of this study is a manufacturing company listed on the Indonesia Stock Exchangewith observations from 2014 to 2018. Determination of samples using purposive samplingmethod, which is a sampling technique with certain considerations that are considered to providebetter data. The data used is sourced from the company's financial statements which can beaccessed through www.IDX. co.id and www.idnfinancials. com. The number of samples used in thisstudy was as many as 120 samples. The analysis technique used is multiple regression to obtain acomplete picture of the relationship between variables. This study used an α value of 5%. Based onthe results, the ratio of liquidity, solvency, and activity have influenced the InvestmentOpportunity Set with significance values of 0.009, 0.018, and 0.002, respectively. While theprofitability ratio does not affect the Investment Opportunity Set due to the value of significanceowned by 0.198.
Children and new media: can playing with smartphones be beneficial?

C hildren are human beings between the stages of birth and puberty. During this time, they need care as they grow biologically and socially. Parents now often play music on their smartphones to quiet down young children and entertain them. Thus, children get acquainted with smartphones at a few months of age. Children get better access to smartphones and use an increasingly wide range of apps as they grow (Yadav & Chakraborty, 2018). The attitude of parents toward their children using smartphones varies. Some parents encourage, while others discourage, their children to spend time with smartphones. This brings us to the question whether playing with new media such as a smartphone can be beneficial to children. It is widely known that smartphones have become an integral part of the lives of children today but whether this trend is good or bad needs further deliberation. The relevance of this discussion also stems from the current global pandemic that forces parents to willingly or unwillingly handing over their smartphones to homebound children while they work from home. We have been researching what we call childsmartphone interaction (Yadav & Chakraborty, 2021a) for the last five years. The question in our commentary’s title cannot be answered with a simple yes or no. It has been stressed that smartphones with suitable apps can be safe and helpful for children if they are used within well prescribed time limits (Yadav & Chakraborty, 2018). We need to consider what apps the children are using and their usage pattern. Children are attracted to smartphones more than other household gadgets. The small size, stylish design and multimedia features of smartphones fascinate children. Children gradually acquire skills to use smartphones between two and 10 years of age (Yadav & Chakraborty, 2021b). Children can hold a smartphone firmly in their hands by two years of age (Yadav & Chakraborty, 2017); tap on the screen at an intended place and follow information provided as images and videos by four years of age; and read from the screen and perform complex touchscreen gestures like drag and drop and pinch and zoom by seven years of age. Ten-yearold children can use professional quality apps (Yadav et al., 2021). More importantly, it has been found that playing with appropriate apps can help children in several ways.
Evaluation of Workers and Customers Exposure to Noise Level in Delta Mall and Robinson Plaza, Delta State, Nigeria

This research work titled “Evaluation of Noise Exposure Level in Delta Mall and Robinson Plaza” was aimed at the determination of the noise exposure level and it’s implication to the health of workers/individuals in Delta Mall and Robinson Plaza. A sound level meter (SLM) of model 407736 was used to measure the noise level in Delta Mall and Robinson Plaza. At Robinson plaza, the noise was measured in 13 different locations and they are numbered Block A – N with an exception of Block I. The procedure was carried out in the morning (9:00am – 9:30am), afternoon (1:00pm – 1:30pm), and evening (6:00pm – 6:30pm) measurements for a period of 30 days. The noise exposure level of the entire study area for Robinson Plaza, revealed an average dose of 177.2% and equivalent TWA of 94.1 dBA for 12 hours duration per day and when compared with OSHA standard, it exceeded the exposure action value in the OSHA noise exposure limits (90 dBA for 8 hours duration per day), hence, a detailed risk assessment must be completed for the entire Robinson Plaza. While the noise exposure level of the entire study area for Delta Mall, revealed an average dose of 115.5% and equivalent TWA of 91.0 dBA for 12 hours duration per day and when compared with OSHA standard, it exceeded the exposure action value in the OSHA noise exposure limits (90 dBA for 8 hours duration per day), hence, a detailed risk assessment must be completed for the entire Delta Mall. It’s therefore concluded that the noise generated from both Delta Mall and Robinson Plaza can be harmful to the health of workers. It was recommended that due to these possible effects of noise pollution on the populace, the following action should be carried out: Isolate noise at source, Using protection equipment, Urgent need for legislation to control noise pollution, and Public awakening and education.
Factors of influence in prisoner’s dilemma task: a review of medical literature

The Prisoner’s Dilemma (PD) is one of the most popular concepts amongst the scientific literature. The task is used in order to study different types of social interactions by giving participants the choice to defect or cooperate in a specific social setting/dilemma. This review focuses on the technical characteristics of the PD task as it is used in medical literature and describes how the different PD settings could influence the players’ behaviour. We identify all the studies that have used the PD task in medical research with human participants and distinguish, following a heuristic approach, seven parameters that can differentiate a PD task, namely (a) the opponent parties’ composition; (b) the type of the opponent as perceived by the players; (c) the interaction flow of the game; (d) the number of rounds; (e) the instructions narrative and options that are given to players; (f) the strategy and (g) the reward matrix and payoffs of the game. We describe how each parameter could influence the final outcome of the PD task and highlight the great variability concerning the settings of these parameters in medical research. Our aim is to point out the heterogeneity of such methods in the past literature and to assist future researchers with their methodology design.
Asymmetric Catalysis: Science and Opportunities (Nobel Lecture 2001).

Asymmetric catalysis, in its infancy in the 1960s, has dramatically changed the procedures of chemical synthesis, and resulted in an impressive progression to a level that technically approximates or sometimes even exceeds that of natural biological processes. The recent exceptional advances in this area attest to a range of conceptual breakthroughs in chemical sciences in general, and to the practical benefits of organic synthesis, not only in laboratories but also in industry. The growth of this core technology has given rise to enormous economic potential in the manufacture of pharmaceuticals, animal health products, agrochemicals, fungicides, pheromones, flavors, and fragrances. Practical asymmetric catalysis is of growing importance to a sustainable modern society, in which environmental protection is of increasing concern. This subject is an essential component of molecular science and technology in the 21st century. Most importantly, recent progress has spurred various interdisciplinary research efforts directed toward the creation of molecularly engineered novel functions. The origin and progress of my research in this field are discussed.
On the mesospheric removal of very long-lived greenhouse gases

The fluorinated gases SF6, NF3 and CFC-115 are chemically inert with atmospheric lifetimes of many centuries which, combined with their strong absorption of infrared radiation, results in unusually high global warming potentials. Very long lifetimes imply that potential mesospheric sinks could make important contributions to their atmospheric removal. In order to investigate this, the reactions of each species with the neutral metal atoms Na, K, Mg and Fe, which are produced by meteoric ablation in the upper mesosphere, were therefore studied. The observed non-Arrhenius temperature dependences of the reactions are interpreted using quantum chemistry calculations of the relevant potential energy surfaces. The absorption cross-section at the prominent solar Lyman-α solar emission line (121.6 nm) was also determined. In the second part of this study updated values for the infrared absorption cross sections of SF6, NF3 and CFC-115 were experimentally determined and used in two radiative transfer models in order to determine radiative forcing and efficiency values. These were carried out with thorough sensitivity analysis and included the effect of clouds and stratospheric adjustment. A three-dimensional chemistry climate model was used separately to determine updated atmospheric lifetimes of each species. Finally, we combined our results to determine updated global warming potentials over a 20, 100 and 500 year time period.
Analysis and Research on Risk Control and Profitability of Sharing Economy Business Model

With the development of the Internet and big data technology, traditional production and consumption models have been challenged, and the "sharing economy" has become a new trend. The sharing of goods, services and information through the network platform using the business model of the sharing economy has attracted more and more attention from the industry and academia. Although the sharing economy is developing rapidly, there are still many competitions and uncertainties in its development. Therefore, it is particularly important to analyze the profitability of the sharing economy business model to identify and avoid busiwatness risks. This article adopts the literature research method, case research method and comparative analysis method to conduct comprehensive analysis from two perspectives of risk management and profitability. We discuss the risks and challenges facing the potential of the sharing economy, the current business model of the shared bicycle industry, and the risk management and profitability issues of the sharing economy business model, propose supplements and improvements to relevant regulations, ensure data transmission security, and formulate antitrust laws to promote Competition, rational application of blockchain technology and other countermeasures to help avoid risks and maximize profitability.
Automated Relative Humidity and Temperature Control System for Banana Tissue Culture Laboratory with Monitoring System and SMS Notification

The challenged to developers is to automate relative humidity and temperature which control and monitoring approaches is using SMS based on the notification as part of the technology innovation. Thus, it complicates in the banana tissue culture laboratory implementation to have efficient monitoring system supplements the concept of the study that makes it more interesting and timelier in the implementation of Internet of Things Approach. The project intent to help the owner to automatically control and monitor temperature and humidity in banana tissue culture laboratory to provide appropriate temperature and relative humidity for banana which is the basic requirements to maintain the fast growth and resistant to diseases and infection. The prototype was tested with a white-box testing approach which surpass the requirements to the real laboratory. A survey questionnaire was also being used as part of evaluating the functionality and usability of the prototype that a very agree on both are the result.
Heteroatoms-containing tricyclic compounds

PURPOSE: Provided are heteroatoms-containing tricyclic compounds of formulae(I to III) which can be prepared by various methods, e.g. acylation, reduction, alkylation, etc., and are useful as a pharmaceutical, particularly as an antiinflammatory, and as an immunosuppressant and antiproliferative agent. CONSTITUTION: Heteroatoms-containing tricyclic compounds are characteristically represented by the formulae(I to III) as defined in the specification. A pharmaceutical composition, such as an antiinflammatory, or an immunosuppressant and antiproliferative agent, comprises a compound of formulae(I to III) in free form or in pharmaceutically acceptable salt form in association with at least one pharmaceutically acceptable carrier or diluent.
Studying and modeling the air pollution caused by chemical pollutants emitting from thermal power station and generators in Baghdad city

This work refers to study and calculate the concentrations of pollutants that emitted to air of the Baghdad city through the production of electrical power by electrical generator and small generators. The electrical power plant in Baghdad (area of study) consumed a large amount fuel for producing the electricity because of large number of people that living in this city. Fixed box model was used to explain the distribution of concentrations of pollutants and the rates of emissions of pollutants from the city. The pollutants that included in this study were carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOX), hydrocarbons, and particulates. The results showed a high accuracy (low error) between the measured concentrations by portable measuring device and the calculated concentrations by the Fixed box model for all pollutants. The average error up to 8%, 9%, 6%, and 5% for carbon monoxide, sulpher dioxide, nitrogen oxides, and particulates, respectively. The results showed that when the average velocities increased the pollutants concentrations decreased. The major source of HC was the electrical power plant for Ministry of Electricity by about 80% from the total pollutants that used different types of fuel, followed by Generator of state of Government and Emergency generator, then Mini-emergency generator.
Knowledge transfer in project-based organisations: A dynamic granular cognitive maps approach

ABSTRACT Motivation is crucial for enhancing the effectiveness of knowledge transfer. This study aims to investigate how motivation for knowledge transfer and organisational context influence the effectiveness of knowledge transfer in project-based organisations. We further identify the key factors of motivation in an organisation context. We applied Dynamic Granular Cognitive Maps (DGCMs) to reveal the influencing mechanism of motivation and organisation context. Results show that three factors – knowledge transfer involvement, knowledge transfer satisfaction, and knowledge psychological ownership – are global controlled variables that reflect knowledge transfer performance. The motivation factors balanced reciprocity, avoiding punishment, organisational affective commitment, and achievement motivation are more important than others for knowledge transfer. Moreover, organisation context has a serious impact on knowledge transfer performance. Based on these results, a series of strategies are recommended to improve knowledge transfer in project-based organisations. This study offers a new approach to establishing crucial organisational relationships based on empirical evidence.