Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Influence of Executive Compensation Incentive on Company Growth

Based on the panel data of GEM listed companies from 2014 to 2016, this paper studies the relationship between different executive compensation incentive methods and the growth of companies, and discusses how different executive incentive methods affect the growth of innovative enterprises. The results show that there is a significant positive correlation between executive compensation incentive, equity incentive and the growth of innovative enterprises. However, the compensation gap has no significant impact on the growth of innovative enterprises. It can be seen that compensation incentive and equity incentive can positively promote the growth of innovative enterprises, but the relationship between compensation gap and the growth of innovative enterprises has not been effectively verified.
Labor Productivity Convergence in Indonesia: Spatially Dynamic Panel Data Analysis

The problem of labor productivity in Indonesia is a regional and sectoral inequality. To know the time required to remove inequality, can be measured by the level of convergence of labor productivity. The research would analyze the rate of sectoral labor productivity convergence among provinces in Indonesia spatially and identify the determinant factors of labor productivity. The analytical methods used is spatial dinamic panel data with Spatially Corrected Blundell-Bond (SCBB) estimation method. The results show that there are spatially sectoral labor productivity convergence. Primary sector takes the longest half-life convergence of 7-8 years, while secondary takes 1-2 years and tertiary sector takes 3-4 years. Furthermore, the Gross Capital Fixed Formation, Mean Years of Schooling, and real wage sectoral are significantly have positive affect to the labor productivity while Life Expectancy is significantly have negative affect to labor productivity.Keywords : convergence, spatial analysis, labor productivity
ESTABLISHMENT OF NOVEL URINARY KIDNEY DISEASE NEW BIOMARKERS AND THERAPEUTIC EFFECT OF METHANOL FRACTION OF TERMINALIA ARJUNA ON ACETAMINOPHEN INDUCED KIDNEY DISEASE IN RATS

Objective: There were main two objectives, first was the identification of best biomarkers for early screening of kidney diseases whether plasma urea and creatinine or novel urinary low molecular weight protein biomarkers Interleukin-18 (IL-18), kidney injury molecule-1 (KIM-1), and cystatin-C. Second was the therapeutic efficacy of methanol fraction of Terminalia arjuna (MFTA) on urinary novel biomarkers. Methods: A total of 35 adult male rats were divided into three Groups (n=5), Group 1 was fed normal food, Group 2, normal food with administration of acetaminophen (APAP) for 5 days, 10 days, and 15 days, and Group 3, normal food with administration of APAP and coadministration of MFTA for 5 days, 10 days, and 15 days. All rats were sacrificed at 15th day of the experiment. Results: Results showed 5 days, 10 days, and 15 days administrations of APAP increased novel urinary biomarkers as IL-18, KIM-1 near two-folds and cystatin-C near six-folds increased than old biomarkers plasma urea and plasma creatinine. Administration of APAP with coadministration of MFTA represented the protective effect by decreasing old and new novel biomarkers with superoxide dismutase and catalase but malondialdehyde level increased. Sodium dodecyle sulphate-polyacrylamide gel electrophoresis showed new low molecular weight urinary protein bands in APAP administration rats, the protective effect of MFTA presents no band at this molecular level as normal rats. Conclusion: MFTA is the most potent nephroprotective agent, and urinary low molecular proteins are the best thing diagnostic tools for early detection of kidney disease over common plasma urea and creatinine.
Vorbereitung in 4 Stufen

Der Ansatz des gezielten Aufwärmens beinhaltet Aspekte aus Sportund Trainingswissenschaft, Physiound Sporttherapie sowie der Medizin. Viele Athleten profitieren bereits im allgemeinen Training von dieser Art des Aufwärmens. Es gibt in diesem Zusammenhang eine Reihe an Schnittstellen zwischen einem sportartspezifischen Training und der Medizinischen Trainingstherapie. Bereits in der Frühphase der Rehabilitation lassen sich etwa sportartspezifische Inhalte in den Ablauf der Medizinischen Trainingstherapie integrieren. Anzunehmen ist, dass bekannte positive Effekte dieser Strategie auch für die (sport-)physiotherapeutische Behandlung gelten und übertragbar sind.
Design and Analysis of an On-chip Programmable Op-amp Based Filter

In this paper a simulation based method is proposed to determine the position of the dominant nonlinear contribution in the schematic of multistage op-amp operated in a feedback configuration. The key idea is to combine the Best Linear Approximation (BLA) and a classical noise analysis to determine the dominant source of nonlinear contributions. This results in a powerful yet simple design tool which does not require special analyses or custom models. As an example, the method is applied to a folded-cascode op-amp.
Clinical values and potential pathways of miR-183-5p in gastric cancer: a study based on integrational bioinformatics analysis.

Background The clinicopathological value and exploration of the potential molecular mechanism of microRNA-183-5p (miR-183-5p) have been investigated in various cancers. This study further explored the transcriptome profile regulated by miR-183-5p. Methods Messenger RNA (mRNA) expression data, miRNA expression, and clinical information of stomach adenocarcinoma (STAD) were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) that related to mir-189-5p expression and cancer proliferation were acquired using bioinformatics analysis. The biological functions of these genes were analyzed in terms of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Hub genes relating to gastric cancer (GC) signal pathway were explored. The results were validated by further experiments. Results A total of 308 genes were found to be regulated by miR-183-5p, and they were related to cancer and GC patients' survival outcome. The biological function of these genes was found to act mainly on biological processes and the involved signal pathways included neuroactive ligand-receptor interaction, cell adhesion molecules, and axon guidance. In addition, miR-183-5p was also shown to regulate the mTOR, Wnt, MAPK, and PI3K-Akt signaling pathways through the genes WNT2B, NGFR, and NTRK2. Conclusions The miRNA miR-183-5p participates in the tumorigenesis and development of GC via certain signaling pathways, in particular the nerve- and immunity-related genes.
EVALUATION OF THE PROPHYLACTIC ROLE OF INDIAN SHRIMP IN ALUMINUM CHLORIDE-INDUCED ALZHEIMER’S DISEASE ON EXPERIMENTAL RATS

Objective: This work was aimed to investigate the prophylactic and therapeutic role of Indian shrimp in aluminum chloride-induced Alzheimer’s disease (AD) in rats. Methods: The male Wistar rats were selected and divided into six groups. Group I received distilled water, Group II received AlCl3 ( 100 mg/kg, p.o.), Group III received rivastigmine (1 mg/kg, p.o.), Group IV received AlCl3 + shrimp powder (200 mg/kg, p.o), and Group V received AlCl3 + shrimp powder (400 mg/kg, p.o) for 60 days. At the end of the study, various parameters such as behavioral and biochemical investigations were assessed. Results: The result of the study shows that the shrimp (400 mg/kg) has better effect on the treatment of aluminum chloride-induced AD in rats. It showed a remarkable improvement in the behavioral and biochemical parameters, and the result of histopathology study shows that the hippocampus region of brain tissue recovered as compared with control. Conclusion: From this study, it is evident that dietary intake of shrimp can help to inhibit oxidative stress produced due to the accumulation of AlCl3 in the brain and used as a prophylactic for AD.
Groundwater Quality Assessment Using Water Quality Index: A Case Study of Nagarparkar, Sindh, Pakistan

In the present study, groundwater quality of hilly Nagarparkar area was assessed using water quality index (WQI). WQI was calculated based on the analysis of physicochemical parameters of groundwater viz. pH, electrical conductivity (EC), total dissolved solids (TDS), turbidity, total alkalinity (TA), total hardness (TH), chloride (Cl), dissolved oxygen(DO), sulphate (SO4), calcium (Ca), magnesium (Mg), iron (Fe), cadmium(Cd), nickel (Ni), copper(Cu), manganese (Mn), arsenic (As) and fluoride (F). Groundwater samples were collected from the dug-wells of the study area, were preserved and analyzed by using standard lab methods. The analysis results of groundwater samples revealed that the physiochemical parameters, pH, Mg, fluoride, SO4, Fe, Cu, Mn, Zn, and As in the groundwater were within the WHO permissible limit while rest of parameters exceeded the WHO permissible limit. Based on water quality index (WQI), the considered water quality parameters were found in various categories. Category wise, 20% of water samples had excellent, 15% good, 15% poor, 20% very poor water quality while the 30% of the samples were unsuitable for drinking purpose. Overall, the groundwater quality of most of the area was not suitable for drinking and domestic purposes
Recognition of Lane Markings in Factories and Self-position Estimation Method Using AR Markers

In recent years, many unmanned transfer robots have been introduced in factories and warehouses. Functions such as self-position estimation are indispensable for freely operating automated guided vehicles. In this research, we estimated the self-position in the factory, proposed a robot control method using lane marking, and verified the measurement accuracy of the system in real time. In this study, the camera image is used to read the AR marker and lane markings to calculate the distance between the camera and lane markings and estimate the self-position. In this study, lane markings and AR markers are photographed horizontally with a camera. The distance is calculated from the position and tilt of the lane markings on the image. When the AR marker is detected, the camera is calibrated to calculate the distance and angle, and the self-position is estimated by comparing it with the actual coordinates. As an experiment to measure the distance to the lane marking, the distance was calculated by gradually bringing the camera closer to the stationary camera with a thick paper with a thickness of 30 mm, which is likened to the lane marking. In the distance calculation, two experiments were conducted with the camera oriented horizontally and diagonally with respect to the lane marking. As an experiment of self-position estimation using AR markers, we created a model like a passage in a factory, placed cameras at multiple points, and measured the error from theoretical values. As a method of expressing the self-position, I assigned the x-axis and y-axis to the model in the actual coordinate system and expressed it in two dimensions. In both experiments, in order to verify the accuracy, 100 continuous data were acquired at each point and the variability of the data was investigated.
M1 Bone Marrow-Derived Macrophage-Derived Extracellular Vesicles Inhibit Angiogenesis and Myocardial Regeneration Following Myocardial Infarction via the MALAT1/MicroRNA-25-3p/CDC42 Axis

Myocardial infarction (MI) is a severe cardiovascular disease. Some M1 macrophage-derived extracellular vesicles (EVs) are involved in the inhibition of angiogenesis and acceleration dysfunction during MI. However, the potential mechanism of M1 phenotype bone marrow-derived macrophages- (BMMs-) EVs (M1-BMMs-EVs) in MI is largely unknown. This study sought to investigate whether M1-BMMs-EVs increased CDC42 expression and activated the MEK/ERK pathway by carrying lncRNA MALAT1 and competitively binding to miR-25-3p, thus inhibiting angiogenesis and myocardial regeneration after MI. After EV treatment, the cardiac function, infarct size, fibrosis, angiogenesis, and myocardial regeneration of MI mice and the viability, proliferation and angiogenesis of oxygen-glucose deprivation- (OGD-) treated myocardial microvascular endothelial cells (MMECs) were assessed. MALAT1 expression in MI mice, cells, and EVs was detected. MALAT1 downstream microRNAs (miRs), genes, and pathways were predicted and verified. MALAT1 and miR-25-3p were intervened to evaluate EV effects on OGD-treated cells. In MI mice, EV treatment aggravated MI and inhibited angiogenesis and myocardial regeneration. In OGD-treated cells, EV treatment suppressed cell viability, proliferation, and angiogenesis. MALAT1 was highly expressed in MI mice, OGD-treated MMECs, M1-BMMs, and EVs. Silencing MALAT1 weakened the inhibition of EV treatment on OGD-treated cells. MALAT1 sponged miR-25-3p to upregulate CDC42. miR-25-3p overexpression promoted OGD-treated cell viability, proliferation, and angiogenesis. The MEK/ERK pathway was activated after EV treatment. Collectively, M1-BMMs-EVs inhibited angiogenesis and myocardial regeneration following MI via the MALAT1/miR-25-3p/CDC42 axis and the MEK/ERK pathway activation.
Point of purchase and consumer purchase process for agriculture based products: A study of Chandigarh and Shimla

The study was designed with the key objective to know if the point-of-purchase display (POP) advertisements actually trigger impulse purchase in case of agriculture based, as they are designed to in the retail environment. Present research work is predicated upon the 6 stages of buying decision process as given in Kotler & Keller (2006). Five point Likert type scale was used to rate how frequently POP influenced different stages of the purchase process. Sample of two hundred respondents (200) was selected by quota sampling from Shimla and Chandigarh. The results revealed that food and beverages purchase buying decision process was substantially influenced by point of purchase (POP). Respondents used the POP the most for post purchase evaluation of food & beverages. The recognition of needs, search for information, evaluation of choices available and purchase decision were partially but substantially influenced by POP for foods and beverages.
Pengaruh Brand Image, Brand Awareness dan Brand Trust Terhadap Minat Beli Pepsodent pada Mahasiswa Konsentrasi Kewirausahaan STIE Indragiri Rengat

The development of the toiletries industry in Indonesia is currently running so rapidly that it creates increasingly fierce competition, business people are also required to be more creative and have a competitive advantage compared to their competitors. The toiletry industry is one of the many industries that experience very tight competition, this can be shown by the increasing number of business actors entering this industrial sector. This study aims to determine the effect of brand image, brand awareness and brand trust on the buying interest of Pepsodent in entrepreneurship concentration students, Stie Indragiri Rengat. The population in this study were all students of the Entrepreneurship Concentration of STIE Indragiri Rengat, Indragiri Hulu Regency, Odd Semester, Academic Year 2020/2021, totaling 63 people. The sampling technique used is the census method. The results of hypothesis testing are: first, Brand Image partially influences the buying interest of Pepsodent in entrepreneurship concentration students of STIE Indragiri Rengat. Second, Brand Awareness partially affects the buying interest of Pepsodent in entrepreneurship concentration students of STIE Indragiri Rengat. Third, Brand Trust partially influences the buying interest of Pepsodent in entrepreneurship concentration students of STIE Indragiri Rengat.
Physiotherapy for Pain Control in Dogs and Cats

Analgesia and pain control are essential issues in the area of veterinary rehabilitation. Considered as the fourth vital sign, acute or chronic pain requires early intervention, the anticipation of evolution, and assessment to achieve individualized treatment protocols. The acronym PLATTER (PLan, Anticipate, TreaT, Evaluate, and Return) [1], guides the professional for the establishment of analgesia, including in the area of physiotherapy. Following the acronym, the first stage involves planning. In a rehabilitation program, it refers to the choice, within the methods available, those suitable for that patient’s condition. For example, laser therapy (Figure 1) may be the choice for a feline with spine pain, as it is an easy and non-invasive method with good acceptance of the species. But for a dog that accepts manipulation, acupuncture associated with massage therapy (Figure 2) can bring the result of analgesia as quickly and pleasantly treatment [2].
An empirical analysis of the impact of crude oil spot and futures prices volatility on the development of African equity markets

This study focused on the impact of crude oil, crude palm oil spot and futures of prices on African equity markets. It draws on daily data from January 2000 till July 2013, obtained from Bloomberg. The study employed Vector Error Correction (VEC). Findings from the econometric analysis show that there is relativity in the speed of adjustment among such countries’ equity market index as Mauritius, whose economic backbone is tourism, which responded faster compared with other ‘ equity markets. Kenya’s equity market index responded positively relative to those of Morocco and Nigeria, while South Africa’s equity market responded slowly, unlike other equity markets. The implication of Morocco and Nigeria’s equity markets adjusting slowly to the shock from crude oil market crisis was due to a high dependence of the governments of both countries on crude IBRAHIM. A.O. BAKARE et al. 32 oil revenues in financing their economic activities. The study shows the existence of a long-term relation between crude oil, crude palm oil spot and futures prices on equity markets. The VECM Granger causality test was applied to examine the association and impact among these variables. The results indicate that crude oil spot and futures price granger influence the equity markets of Mauritius, Kenya and Morocco, while futures prices of crude oil granger impact Nigeria’s and South Africa’s equity markets.
APPROXIMATE CONTROLLABILITY OF EULER-BERNOULLI VISCOELASTIC SYSTEMS

In this article, we study an Euler-Bernoulli viscoelastic control system which is dissipative due to the presence of the viscoelastic term. The main feature which distinguishes this paper from other related works lies in the fact that we no longer impose traditional conditions such as complete monotonicity and decay property on the kernel function g. Without loss of generality, we study the system in the case of g ≡ 1. By means of the duality principle and the Hahn-Banach theorem, we show that the system with g = 1 is approximately controllable in the appropriate function space.
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets

Training data is the backbone of developing either Machine Learning (ML) models or specific deep learning algorithms. The paucity of well-labeled training image data has significantly impeded the applications of ML-based approaches, especially the development of novel Deep Learning (DL) methods like Convolutional Neural Networks (CNNs) in mineral thin section images identification. However, image annotation, especially pixel-wise annotation is always a costly process. Manually creating dense semantic labels for rock thin section images has been long considered as an unprecedented challenge in view of the ubiquitous variety and complexity of minerals in thin sections. To speed up the annotation, we propose a human-computer collaborative pipeline in which superpixel segmentation is used as a boundary extractor to avoid hand delineation of instances boundaries. The pipeline consists of two steps: superpixel segmentation using MultiSLIC, and superpixel labeling through a specific-designed tool. We use a cutting-edge methodology Virtual Petroscopy (ViP) for automatic image acquisition. Bentheimer sandstone sample is used to conduct performance testing of the pipeline. Three standard error metrics are used to evaluate the performance of MultiSLIC. The result indicates that MultiSLIC is able to extract compact superpixels with satisfying boundary adherence given multiple input images. According to our test results, large and complex thin section images with pixel-wisely accurate labels can be annotated with the labeling tool more efficiently than in a conventional, purely manual work, and generate data of high quality.
APPLICATION OF B-SPLINE METHOD IN SURFACE FITTING PROBLEM

Abstract. Fitting a smooth surface on irregular data is a problem in many applications of data analysis. Spline polynomials in different orders have been used for interpolation and approximation in one or two-dimensional space in many researches. These polynomials can be made by different degrees and they have continuous derivative at the boundaries. The advantage of using B-spline basis functions for obtaining spline polynomials is that they impose the continuity constraints in an implicit form and, more importantly, their calculation is much simpler. In this study, we explain the theory of the least squares B-spline method in surface approximation. Furthermore, we present numerical examples to show the efficiency of the method in linear, quadratic and cubic forms and it’s capability in modeling changes in numerical values. This capability can be used in different applications to represent any natural phenomenon which can’t be experienced by humans directly. Lastly, the method’s accuracy and reliability in different orders will be discussed.
Detecting Public Sentiment of Medicine by Mining Twitter Data

The paper presents a computational method that mines, processes and analyzes Twitter data for detecting public sentiment of medicine. Self-reported patient data are collected over a period of three months by mining the Twitter feed, resulting in more than 10,000 tweets used in the study. Machine learning algorithms are used for an automatic classification of the public sentiment on selected drugs. Various learning models are compared in the study. This work demonstrates a practical case of utilizing social media in identifying customer opinions and building a drug effectiveness detection system. Our model has been validated on a tweet dataset with a precision of 70.7%. In addition, the study examines the correlation between patient symptoms and their choices for medication.
No Room for Squares: Using Bitmap Masks to Improve Pedestrian Detection Using CNNS.

In this paper we investigate a method to reduce the number of computations and associated activations in Convolutional Neural Networks (CNN) by using bitmaps. The bitmaps are used to mask the input images to the network that fall within a rectangular window but do not fall within the boundaries of the objects the network is being trained upon. The mask has the effect of rendering the operations on these portions of the training images trivial. The thesis is that applying this approach to CNNs will not degrade accuracy while at the same time reducing the computational workload and reducing memory footprint. We found that we can remove up to 60% of the input images and see no decrease in accuracy. This leads to activation sparsity that can be exploited using a hardware accelerator to speedup training and inference, and decrease energy consumed.
Exploring Parliament

Exploring Parliament offers a fresh perspective on an ancient institution. It provides a real-life insight into the inner workings, impact, and relevance of twenty-first century Parliament. Short academic and practitioner chapters are combined with relevant and practical case studies, to provide an introduction to Parliament's structures, people, and practices. As well as covering the broader structure of UK Parliament, this text explains the role of small parties in law-making, the design and space of Parliament, and offers illuminating case studies on highly topical areas such as the Backbench Business Committee, the Hillsborough Inquiry and recent pieces of legislation such as the Assisted Dying Bill.