Miracle-dz/UniFAR-FTUs huggingface dataset:
Capturing investor sentiment from Big Data: the effects of online social media on SET50 index

This research aims to introduce a market sentiment index which can be used as a leading indicator for the Stock Exchange of Thailand (SET). This new index is constructed from Big Data extracted from online social media. The data used in this project are the daily firm-level and market data, market capitalizations of firms and the SET, the total trading value in the SET and the values of stocks bought and sold by investor types, the data on S&P global index, the implied volatility index of S&P500 (known as VIX) and the exchange rate of Thai Baht. Meanwhile, tonal words regarding 50 companies listed in the SET50 index are extracted from selected online/social media using search engines and an application programming interface (API). Note that 50 firms included in the analyses and index construction change every six months following the announcement of the SET. The daily data will be collected for the period 2015 - 2018. Machine Learning algorithms are employed to conduct a bag-of-word analysis which will count the number of positive, negative and neutral tonal words for 50 firms in a set of articles over a 4-year period. The findings show that the introduced sentiment index has significant relationships with the changes in SET50 index. The sentiment index can signal changes in SET50 index from day t to day t+3. The analysis results indicate that this sentiment index can act as a leading indicator of the SET50 index and thus the SET index.
The experiment of activity and stability of antioxidant extracted from Senduduk (Melastoma malabathricum L) leaves at various conditions of concentration, pH values, and temperatures

Melastoma Malabathricum L. (Senduduk) is a type of weed that serves as an antibacterial, antioxidant, anti-inflammatory, anti-cancer, anti-hepatoxic, anti-diabetic and antiseptic to kill or prevent the growth of microorganisms. The purpose of this study is to obtain antioxidant extracts from Senduduk leaves and to test its antioxidants stability in various temperatures and pH. Senduduk leaves are extracted by macerating them with 95% ethanol solvent for 72 hours, and then the solvent is evaporated using a vacuum evaporator at 40 °C. In this experiment, DPPH (1,1-diphenyl-2-pikrihidazil 1,1-diphenyl-2-pikrihidazil) method is used to test the antioxidant activity. Based on this experiment, the extract yield produced from Senduduk leaves was 10.40% (w/w). The results show that the extracts experience an ability to inhibit DPPH free radical formation by 91.734% at 100 ppm concentration. It is known that the antioxidant from the extract of Senduduk leaves is stable at pH 3-5 and at temperature of 70 °C. The IC50 (Inhibition Concentration) value is 55.432 ppm, which proves that the antioxidant properties of the leaves extracts can be classified as strong antioxidant.
Chemical, serologic and biologic properties of lipid-free and lipid-containing glycerol teichoic acid /

3. When a map, drawing or chart, etc., was part of the material being photographed the photographer followed a definite method in "sectioning" the material. It is customary to begin photoing at the upper left hand corner of a large sheet and to continue photoing from left to right in equal sections with a small overlap. If necessary, sectioning is continued again — beginning below the first row and continuing on until complete.
Coverage Path Planning for a Moving Vehicle

A simple coverage plan called a Conformal Lawn Mower plan is demonstrated. This plan enables a UAV to fully cover the route ahead of a moving ground vehicle. The plan requires only limited knowledge of the ground vehicle’s future path. For a class of curvatureconstrained ground vehicle paths, the proposed plan requires a UAV velocity that is no more than twice the velocity required to cover the optimal plan. Necessary and sufficient UAV velocities, relative to the ground vehicle velocity, required to successfully cover any path in the curvature restricted set are established. In simulation, the proposed plan is validated, showing that the required velocity to provide coverage is strongly related to the curvature of the ground vehicle’s path. The results also illustrate the relationship between mapping requirements and the relative velocities of the UAV and ground vehicle. Next, I investigate the challenges involved in providing timely mapping information to a moving ground vehicle where the path of that vehicle is not known in advance. I establish necessary and sufficient UAV velocities, relative to the ground vehicle velocity, required to successfully cover any path the ground vehicle may follow. Finally, I consider a reduced problem for sensor coverage ahead of a moving ground vehicle. Given the ground vehicle route, the UAV planner calculates the regions that must be covered and the time by which each must be covered. The UAV planning problem takes the form of an Orienteering Problem with Time Windows (OPTW). The problem is cast the problem as a Mixed Integer Linear Program (MILP) to find a UAV path that maximizes the area covered within the time constraints dictated by the moving ground vehicle. To improve scalability of the proposed solution, I prove that the optimization can be partitioned into a set of smaller problems, each of which may be solved independently without loss of overall solution optimality. This divide and conquer strategy allows faster solution times, and also provides higher-quality solutions when given a fixed time budget for solving the MILP. We also demonstrate a method of limited loss partitioning, which can perform a trade-off between improved solution time and a bounded objective loss.
The role of trust in information adoption in social commerce: A PLS approach

information adoption, information quality, social commerce, social support, trust Social commerce (s-commerce or SC) is rapidly growing and it is an increasingly favourite shopping way that customers adopt. Based on the view of trust as a social reality and Petty and Cacioppo’s (1986) ELM theory, the paper proposes a theoretical model integrating information quality and social support to explain information adoption through perceived consumer trust. A survey with PLS-SEM analysis of 333 consumers shows that 7 out of 11 hypotheses are empirically supported and the model explains up to 47.4% of consumer information adoption. Moreover, as expected, the information quality of s-commerce sites is always to be present to build consumer trust in s-commerce sites and in members of scommerce sites.
Soft Sensor for Online Prediction of Cement Fineness in Ball Mill

This paper describes the design and implementation of a soft sensor based on backpropagation neural network model to predict the cement fineness online in a ball mill. The input variables of these models were selected by studying the cement grinding process. The fineness results of laboratory tests were collected to obtain the output variable. This paper introduces a procedure for the extraction, analysis, treatment, and cleaning of raw data received from the factory, which provided a low prediction error. Estimating this variable in real-time can be extremely useful for maintaining the desired fineness during the cement grinding process, which will also allow a significant increase in the system energy efficiency. The model that presented the highest performance and the ability to predict fineness was selected to implement as a soft sensor. The developed system was tested in a cement mill grinding process, and good results were achieved, demonstrating the ability to provide information about the variables previously obtained only through offline laboratory tests.
Improvised learning for pre-primary students using augmented reality

In this age of digital advancements, where technologies are changing in a fraction of time. From the abacus which made tutoring math easy millennia back, to word processor which changed the way research paper is being written and presented. After every era, with the advancements in the technology has not only given shaped the education but also transformed it. There was a time when the education world of black on white changed to projected presentations. However, now in this paper, we believe to go beyond the two-dimensional space and create a whole new educational world for children. Augmented Reality (AR) has successfully made classroom learning more interactive and engaging for students as well as for teachers to deliver their lectures. AR is the combination of the real-world with computer- generated world. It is one of the most emerging fields in computer science. The conventional approach for learning can be stressful and to a certain extent less effective for some students. So, we propose a system in which students use smart devices like tablets, mobile, etc. that act as an alternative to boring supportive textbooks. Also, we plan to develop an application consisting of two modules like interactive learning and fun examination, a hybrid of the traditional approach and innovative practical illustrations of complicated concepts leading education in another dimension.
The Relative Effects of Local and Landscape Characteristics of Hedgerows on Bats

The role of hedgerows in maintaining biodiversity in areas of intensive agriculture is well known, particularly for bats. However, few studies have addressed the importance of the intrinsic characteristics of hedgerows for bats and disentangled the relative effects of local and landscape characteristics of hedgerows on bat activity. In an acoustic survey, we assessed bat activity by recording bat calls using detectors and manually verified all calls using spectrogram analysis. The parameters used to determine local hedgerow structures were the length of the line of trees, of shrub hedgerows, of wooded hedgerows without shrubs and of hedgerows including the three strata (tree, shrub and herb) at a local scale. We assessed the influence of hedgerow structure and on bat activity with an approach considering both species and community, comparing two different scales, the local and the landscape. We highlighted the importance of hedgerow characteristics for bats on both the local and landscape scales even though responses differ between species and spatial scales. We found that the presence of trees in hedgerows exerts a generally positive influence on bat activity and that hedgerows with the three strata had lower bat activity than hedgerows with trees. In our study, some bats seemed to prefer agricultural landscapes dominated by wooded hedgerows and, on the local scale, hedgerows that include trees with little diversified among strata, except for gleaning species. Our study shows that in terms of hedgerow management, conservation efforts must be designed and undertaken on both the local and landscape scales.
Developing Multimedia-Based Interactive Learning Media on Football Learning Courses

The purpose of this study is to develop multimedia-based interactive learning media on football subject. This research method is R&D, development research where product development consists of four steps namely (1) Define, (2) Design, (3) Development and (4) Dissemination. The population and sample in this study were all class students of 2017 who took football courses at STOK of Bina Guna Medan. Data collection techniques were conducted by observation, interview and questionnaire. The testing phase was carried out with product validation by two media experts, and two material experts, as well as testing on users (students). The data analysis technique used is descriptive analysis technique. The results of this study are: (1) based on two media experts, the score is 83.33 with the category “very appropriate” to be used as a learning medium. (2) based on two material experts, the score was 71.53 with the appropriate category to be used as learning media. (3) based on the assessment by the students gained a total score of 75.90 with the category "very appropriate" as a learning media. Based on the above results, multimedia-based interactive learning media on football learning subject can be used as learning media.
Credit Financing and Agricultural Growth in Nigeria

Agriculture is key to the industrial development of any nation this is because in addition to providing food security for the population, it also provide raw materials which industries depends upon for the production of goods and services. This study investigated the impact of credit financing on agricultural growth in Nigeria from 1989 to 2018. This study adopted an ex-post facto research design, the data empirically analysed was a time series data sourced from CBN statistical bulletin. Agricultural gross domestic product to proxy agricultural growth, Deposit Money Banks’ Credit to Agriculture, Agricultural Credit Guarantee Scheme and Government Expenditure on Agriculture to proxy credit financing. The study employed descriptive statistic, unit root test, co-integration, Bound Test and Auto Regressive Distributed Lag Model methods of analysis as the analytical tools and inferences were made at 5 percent significant level. The study shows that deposit money banks loans to the agricultural sector (β = 0.783423, t=5.371 p= 0.0000) impacted positively a significant effect on agricultural growth in Nigeria within the time frame. The study concluded that Deposit money banks&#39; loans to agriculture has significantly impacted on agricultural growth in Nigeria. The study also ascertained that government expenditure on agriculture (β = 0.093623, t= 1.132349, p= 0.2716) impacted positively but insignificant on agricultural growth in Nigeria. The study concluded that Government expenditure on agriculture has no significant impact on agricultural growth in Nigeria. The model also showed that Agricultural Credit Guarantee Scheme (β = -0.11088, t-0.813 p0.426) posits an inverse effect on Agricultural growth in Nigeria, however insignificant to determine agricultural growth in Nigeria. The study concluded that Agricultural credit guarantee scheme has no significant effect on agricultural growth in Nigeria The study concluded that the role of deposit money banks credit is more important as it is a source of providing different agricultural inputs which has strong impact on productivity. The government should provide subsidized credit to the farmers as this could positively influence more productivity in agricultural sector. To make the Agricultural credit guarantee scheme more productive special instructions and supervision should be carried out by loan issuing authorities.
Analytical Tools for Lipid Assessment in Biological Assays

Lipids are heterogeneous biological molecules with many important roles. In human body, lipids can be energy substrates, steroid hormones, inflammatory lipid mediators, transporters, and feature as structural cell and organelle membrane elements. At the cell membrane, lipids influence the distribution of surface proteins and, in part, protein signaling and, consequently, the activation of transcriptional factors. One of the best explored relationships in chemistry and science is the structure/activity one. Therefore, if the composition of a mixture is discovered and the structure of its components is known, a task of proposing relationship among all components and their activity would be closer to understanding. There are many powerful and advantageous analytical and bioanalytical tools available for the study of lipids, but all show at least some limitations. Knowing the advantages/disadvan-tages of each technique is essential for choosing the most appropriate one for the analysis as to answer a scientific question about lipid composition and role within a biological model. Often, inexperience and little familiarity with the cited analytical resources may limit the validity of the obtained results. Our chapter aims to present and discuss different tools available for the study of lipids and their main applications in biological assays.
SCREENING OF THE PHYSICAL AND STRUCTURAL PROPERTIES OF CHITOSAN-POLYCAPROLACTONE FILMS ADDED WITH Moringa oleifera LEAF EXTRACT

Physico-structural properties of biodegradable films of chitosan and polycaprolactone (PCL) added with Moringa oleifera leaf extract were determined. The films were analyzed for thickness, transparency, solubility, Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). The transparency was increased as the PCL concentration increased and there was no difference in solubility for any of the formulations evaluated. On the other hand, FTIR spectra revealed an increase in hydroxyl groups, amides and carbonyls bands as the concentration of PCL and M. oleifera extract increased. XRD diffractograms showed a good miscibility between chitosan and PCL using concentrated acetic acid as the solvent. The properties of PCL to modify the physico-structural characteristics of chitosan are maintained.
Analyzing Regulation of tRNAs, tRNA Fragments, and mRNAs in Whole Genomes

Author(s): Holmes, Andrew | Advisor(s): Lowe, Todd | Abstract: Rather than focus on individual pathways or genes, whole-genome analysis of regulation allows for the discovery of the biological processes that drive cells decisions and fate in single-celled and multicellular organisms. I report on three different forms of whole-genome analysis of gene regulation. The first is analysis of tRNA fragments using RNA-sequencing. I develop a computational method to analyze changes in RNA sequencing data from tRNAs and tRNA fragments and use this method to analyze changes in RNA-sequencing results from the use of demethylase treatment, PNK end treatment, and RNA sequencing kit to determine how RNA-sequencing results of tRNA can change from experiment to experiment. I also analyze tRNA sequencing on a chromatin level using previously published genome-wide chromatin data. Here, I categorize tRNAs based on their expression and compare these tRNAs to examine what the determinants of expression are. Using this expression data, I also build a method to compare tRNAs across related species and find how tRNA conservation varies with expression. Finally, I examine cis-regulatory structural mRNA elements in archaea. I find that the known types of cis-regulatory element in bacteria are conserved, and then I use a combination of RNA sequencing data and methods for finding conserved RNA structure to predict these elements in three archaeal species. I build a list of candidate structural elements including new ribosomal autoregulatory elements in each species.
New Dimension in Inhaler Technical Training: Puzzle

Objective: To evaluate the effectiveness of group trainings for using inhaler drugs with a spacer with a game (puzzle) after face-to-face training and the satisfaction of health care professionals in a second-line hospital. Materials and Methods: Participants completed the post-training satisfaction questionnaire after both face-to-face and practical training. A cross-sectional, quasi-experimental study was performed. Results: A total of 102 participants were included in the study. After the face-to-face training, the most common inhaler error was not shaking the inhaler tube before inhalation. The rate of participants who received a full score after face-to-face training (total 7 points) increased to 91.2% from 49% after puzzle practice (p 90%) assessed themselves as providing adequate inhaler training with a spacer and treatment to the patients. In addition, the participants thought that the puzzle was highly instructive, interesting, and a facilitator for learning. Conclusion: The puzzle can be used as a complementary tool for face-to-face training and it seems to be useful as a visual education material. Large-scale and multicenter studies are needed to determine the effectiveness of puzzles in other disciplines.
Storm in My Comfort Zone!!

: The objective of this study was to analyse different situations about incidences where people found it difficult to change on different situations. Change has always been uncomfortable; it takes courage and time to accept it. Many models have been developed to assist in change management including Kurt Lewin’s model of change. Other authors have also indicated the importance of embracing change when it is appropriate. This paper sheds light on real life events and situations where change is due and employees in institutions are uncomfortable with it. The paper describes the different behaviours exhibited by different individuals in resisting change. Data was collected through recordings, interviews conducted with both the change agents, and in some instances with change champions. Ten respondents were interviewed and the author used a record to store the responses which later were used for analysis. The paper concludes by elaborating the importance of change and its successes. The incidences were collected from different institutions of higher learning in Kenya. Data was then coded analysed using Content analysis. Data was qualitatively presented through reporting and narration.
Tuna drift gillnet fishery at Chennai, Tamil Nadu- an update

The present study describes the status of multiday drift gillnet fishery for tuna from Chennai fishing harbour based on data for the years 2016 – 2017. The data is also compared with that during 1999-2006. Both the craft and gear increased in size with consequent extension of fishing grounds and increase in the number of days/ fishing trip. The size of the boats increased to 20-23 m OAL from 11-12 m OAL and weight of the gear from 1 to more than 6 t. Annual average catch increased to 8523 t during 2016-2017 from 595 t during 1999-2006. Average catch per unit effort was 8310 kg as against 730 kg during 1999-2006. Yellowfin tuna, Thunnus albacares and Skipjack tuna, Katsuwonus pelamis were the dominant species. The stock position of skipjack tuna and yellowfin tuna vis-à-vis the three indicators indicated that the percentage of mature yellowfin tuna in the catch in 2017 was 68%, fish in optimum length 35% and mega-spawners 33% whereas in skipjack tuna the respective percentages were 99.5, 21.1 and 79.1. Problems and prospects of multiday tuna drift gillnet fishery are also discussed.
Inclusion of copaiba oil ( Copaifera sp . ) as additive in supplements for cattle on pasture

This study analyzed the effect of including copaiba oil as an additive for cattle supplemented on pasture, during the dry season. Four crossbred steers, castrated, with 245 ± 25 kg, aged about 18 months, fitted with permanent rumen cannula; were randomly assigned to a 4x4 Latin square. All animals were housed in individual paddocks (0.3 ha), uniformly covered with Brachiaria brizantha cv Marandu, with through and drinking fountain; and were given a concentrate at 500g/100 kg BW containing 380 g/kg crude protein (%DM). The copaiba oil was added to the supplement as a spray, in the proportions of 0, 0.5; 1.0 and 1.5 g/kg DM intake. Spraying supplementation was performed daily at the time of supply of the supplement. Data of intake and digestibility of nutrients, ruminal pH; ruminal ammonia nitrogen, and microbial protein synthesis were tested by analysis of variance and polynomial regression, adopting a significance level of 5%. The inclusion of copaiba oil quadratically affected total dry matter intake (P=0.030) and CP digestibility (P=0.043), without altering ruminal metabolism (P>0.05) and microbial protein synthesis (P>0.05) of the animals kept on pasture.