Miracle-dz/UniFAR-FTUs huggingface dataset:
Scotland's Rural College Effects and mode of action of chitosan and ivy fruit saponins on the microbiome, fermentation and methanogenesis in the rumen simulation technique Belanche,

This study investigates the effects of supplementing a control diet (CON) with chitosan (CHI) or ivy fruit saponins (IVY) as natural feed additives. Both additives had similar abilities to decrease rumen methanogenesis (–42% and –40%, respectively) using different mechanisms: due to its antimicrobial and nutritional properties CHI promoted a shift in the fermentation pattern towards propionate production which explained about two thirds of the decrease in methanogenesis. This shift was achieved by a simplification of the structure in the bacterial community and a substitution of fibrolytic (Firmicutes and Fibrobacteres) by amylolytic bacteria (Bacteroidetes and Proteobacteria) which led to greater amylase activity, lactate and microbial protein yield with no detrimental effect on feed digestibility. Contrarily, IVY had negligible nutritional properties promoting minor changes in the fermentation pattern and on the bacterial community. Instead, IVY modified the structure of the methanogen community and decreased its diversity. This specific antimicrobial effect of IVY against methanogens was considered its main antimethanogenic mechanism. IVY had however a negative impact on microbial protein synthesis. Therefore, CHI and IVY should be further investigated in vivo to determine the optimum doses which maintain low methanogenesis but prevent negative effects on the rumen fermentation and animal metabolism.
Binomial Transform of the Generalized k-Fibonacci Numbers

We recall the concept and some properties of the generalized \(k\)-Fibonacci numbers and then apply the binomial transform to these sequences. As consequence, we obtain new integer sequences related to the generalized \(k\)-Fibonacci numbers. Finally, we find the recurrence relation of these new sequences and the formulas for their sums.
HUMAN MOTION DETECTION USING BACKGROUND SUBTRACTION ALGORITHM

Recent analysis in computer vision has more and mor e targeted on building systems for observant humans and understanding their look, activities, and behavior providing advanced interfaces for interacting with humans, and making smart models of humans for numerous functions. In o rder for any of these systems to function, they req uir methods for detecting people from a given input image or a vide o. Visual analysis of human motion is currently one f the most active research topics in computer vision. In which the moving human body discovery is the mos t critical piece of the human body movement examina tio , the design is to recognize the moving human body fr om the foundation picture in feature successions, a d for the subsequent treatment, for example, the objective or der, the human body following and conduct understan ding, its compelling location assumes an essential part. Huma n ovement investigation concerns the discovery, fo llowing and acknowledgment of individuals practices, from pictu re successions including people. As per the consequ ence of moving item discovery research on feature groupings This paper presents a new algorithm for detecting m oving objects from a static background scene to det ect moving object based on background subtraction. We s et up a reliable background updating model based on statistical. After that, morphological filtering is initiated to remove the noise and solve the background interrup tion difficulty. Finally, form projection examination is joined with the shap e investigation to uproot the impact of shadow; the moving human bodies are precisely and dependably identified. The trial results demonstrate that the proposed techni que runs quickly, precisely and fits for the simultaneous discovery. KEYWADS: Background Model, Background Subtraction,Backgroun d Updating, Moving Object Detection INTRODUCTION By and large, three parts of examination bearings a re considered in the investigation of human body mo vement: following and assessing movement parameters, dissec t ng of the human body structure, and perceiving of movement exercises. At present systems utilized as a part of moving art icle location are for the most part the casing subt raction strategy, the foundation subtraction technique and the optical stream system. The vicinity of calculat ing so as to move articles dictated the contrast between two back to back pictures, in the frame subtraction method. Its calculation is simple and easy to implement. For a mixed bag of element s ituations, it has an in number versatility, yet it is for the most part hard to acquire complete layout of moving item, mindful to show up the vacant wonder, subsequently the reco gniti n of moving article is not exact. Optical stream system is to f igure the picture optical stream field, and do grou ping preparing as per the International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) ISSN(P): 2250-1568; ISSN(E): 2278-9448 Vol. 5, Issue 5, Oct 2015, 17-24 © TJPRC Pvt. Ltd.
EFFECT OF CARBONATED DEAD BIOMASS OF A NON-EDIBLE MUSHROOM (TRAMETES VERSICOLOR) ON NUTRIENT ADSORPTION FROM WASTEWATER AND AQUEOUS SOLUTION

This study was aimed at assessing the efficiency of the dead biomass of Trametes versicolor in phosphate, sulphate and nitrate adsorption from aqueous solution and wastewater. The study was carried out using a batch setup and investigated the effects of contact time, adsorbent quantity, pH and temperature on nutrient adsorption. The results revealed that decreases in sulphate concentration were observed after 4 h and 5 h contact with the Trametes in wastewater and aqueous solution, respectively. Also, a high sulphate decrease was observed at a pH of 2. Higher pH was not observed to show any remarkable decrease in sulphate level, rather there were increases in some cases. This trend was irrespective of the wastewater or aqueous solution. In the case of temperature, the observation in this study was remarkable adsorption at temperature between 50 C and 60 C for nitrate and between 40 C and 50 C for sulphate. At the different adsorbent concentration investigated, the observation in this study was that increase in sulphate and nitrate adsorption with increase in adsorbent concentration up to a similar limit after which it did not follow any pattern. The study was able to provide information on the nutrient adsorption efficiency from wastewater and aqueous solution with the dead biomass of the Trametes under the experimental conditions investigated.
Persistence of Momentum and Contrarian Styles of Investors on Indian Bourse

The subsistence of anomalous behavior of equity shares on the basis of assorted investment styles have motivated to conduct the present study and it has taken a sample of 700 stocks listed on National Stock Exchange of India. In order to uncover the persistence of momentum (contrarian) style of investors, different holding period returns are calculated under various market scenarios. The findings of the study will have relevance for all investors across the world that has an interest in Indian equity market.
Real-time Video Mosaicing for UAV Applications Summary Report

This summary report describes the methods involved in creating a panoramic image, called a mosaic, which can be adapted and designed for UAV applications. There is an increasing demand to expand the field of view while operating UAVs, both in the civilian sector, such as search and rescue, and for military purpose such as threat detection and object recognition. Image mosaics displayed at real time can overcome this inherent problem by expanding the field of view, and if used in conjunction with object detection software will increase the chance of detecting an object or person. Although this project did not complete the main objective of creating a real time video for UAV applications, this project outlines the theory, processes, and presents a solution, which could be further developed to achieve this. The processes involved in creating a two and ten image mosaic, simulated UAV trajectory and real time application are presented. The algorithms used to create a two and ten image mosaic perform quite well when compared to popular online software, with a time of 237ms and 4.2s respectively. This summary report will explore how the created algorithm performs on an embedded system called a Pandaboard. The designed real time application achieves a frame rate of 5-6 Frames per Second with a 400x400 output window size.
1 THERMOELECTRIC SELF-COOLING FOR POWER 1 ELECTRONICS : INCREASING THE COOLING POWER 2

9 Thermoelectric self-cooling was firstly conceived to increase, without electricity 10 consumption, the cooling power of passive cooling systems. This paper studies the 11 combination of heat pipe exchangers and thermoelectric self-cooling, and demonstrates 12 its applicability to the cooling of power electronics. 13 Experimental tests indicate that source-to-ambient thermal resistance reduces by 14 around 30 % when thermoelectric self-cooling system is installed, compared to that of 15 the heat pipe exchanger under natural convection. Neither additional electric power nor 16 cooling fluids are required. This thermal resistance reaches 0.346 K/W for a heat flux of 17 24.1 kW/m 2 , being one order of magnitude lower than that obtained in previous designs. 18 In addition, the system adapts to the cooling demand, reducing this thermal resistance 19 for increasing heat. 20 Simulation tests have indicated that simple system modifications allow relevant 21 improvements in the cooling power. Replacement of a thermoelectric module with a 22 thermal bridge leads to 33.54 kW/m 2 of top cooling power. Likewise, thermoelectric 23 modules with shorter legs and higher number of pairs lead to a top cooling power of 24 44.17 kW/m 2 . These results demonstrate the applicability of thermoelectric self-cooling 25 to power electronics. 26 *Manuscript Click here to download Manuscript: Manuscript.docx Click here to view linked References © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
TURKISH ECONOMIC ASSOCIATION DISCUSSION PAPER 2009/1 http ://www.tek. org.tr MONEY PRICE RELATIONSHIP UNDER THE CURRENCY BOARD SYSTEM: CASE OF ARGENTINA

In this study, the endogenous money hypothesis is examined for the Argentinean economy employing exogeneity tests by using monthly data for the time period 1991-2001 within the frame of money and price relationship in a Currency Board-like system. Empirical results support the hypothesis which suggests that money supply is endogenous.
Fast Motion Estimation’s Configuration Using Diamond Pattern and ECU, CFM, and ESD Modes for Reducing HEVC Computational Complexity

The high performance of the high efficiency video coding (HEVC) video standard makes it more suitable for high-definition resolutions. Nevertheless, this encoding performance is coupled with a tremendous encoding complexity compared to the earlier H264 video codec. The HEVC complexity is mainly a return to the motion estimation (ME) module that represents the important part of encoding time which makes several researches turn around the optimization of this module. Some works are interested in hardware solutions exploiting the parallel processing of FPGA, GPU, or other multicore architectures, and other works are focused on software optimizations by inducing fast mode decision algorithms. In this context, this article proposes a fast HEVC encoder configuration to speed up the encoding process. The fast configuration uses different options such as the early skip detection (ESD), the early CU termination (ECU), and the coded block flag (CBF) fast method (CFM) modes. Regarding the algorithm of ME, the diamond search (DS) is used in the encoding process through several video resolutions. A time saving around 46.75% is obtained with an acceptable distortion in terms of video quality and bitrate compared to the reference test model HM.16. 2. Our contribution is compared to other works for better evaluation.
Dimethylnitrosamine-induced hepatic cirrhosis: a new canine model of an ancient human disease.

Abstract 1. A new canine model of hepatic cirrhosis, created by intermittent, oral administration of dimethylnitrosamine, a specific hepatotoxin, is described. 2. DMNA-induced cirrhosis is stable or progressive after discontinuing the toxin, is associated with significant physiological abnormalities which correlate with severity of histological lesions, and can be produced rapidly. 3. Histological, biochemical, and physiological abnormalities associated with DMNA-induced cirrhosis resemble many features of hepatic cirrhosis in man. Data suggest that this model may be useful in studying other parameters of this complex disorder.
CULTURAL ENTREPRENEURSHIP IN RURAL AREAS A CASE STUDY OF SIFNOS AND SYROS ISLANDS

Cultural and creative entrepreneurs have been seen as key agents of the development and revitalization of rural and remote areas. But what makes those individuals turn to areas like these? How do they achieve the revival of these places? What does essentially contribute to this revival? Many questions regarding the reasons why and the ways in which creative individuals implement entrepreneurship in rural areas remain utterly unaddressed. How do they deal with and apply their innovative ideas in these parts characterized by profound tradition and culture? How do they manage to merge their initiatives with the tradition and to be successful in achieving the involvement of the local community? This study focuses on innovative cultural entrepreneurial initiatives that contribute to the social, economic, cultural, environmental and educational development of Sifnos and Syros, two of the Cyclades most famous islands in Greece. It aims to examine why creative entrepreneurs take the decision to turn to these remote parts of Greece and how they manage to gain the appreciation and the involvement of a traditional community by initiating contemporary cultural events and projects. Furthermore, it seeks to scrutinize how those actions can coexist and be combined with the tradition and create beautiful outcomes inspired by the place. A wide literature has attempted to explain how cultural entrepreneurship and creative initiatives are meaningful for the development of rural and remote areas in the economic, environmental, social, educational and cultural domains. We address the issue through the lens of cultural entrepreneurship. One of the most predominant definitions of entrepreneurship entails the grasping of an opportunity with the precondition to creating an innovation, something novel; which is by entrepreneurs who have the willingness to make something new. Therefore, we recognize the need to investigate the reactions and the behavior of the locals who have a deep respect and love for their tradition, which could stand in contrast with the contemporary cultural entrepreneurial venturing. By conducting interviews with cultural entrepreneurs in Sifnos and Syros islands in Greece, this qualitative study aims to investigate why cultural entrepreneurs chose Sifnos and Syros to implement their cultural innovative vision and; how they implement cultural entrepreneurship, accounting for the strong traditions and potential resistance by the local community. By doing so, we seek to answer the question; how cultural entrepreneurs contribute to the development of the rural region, in cultural, social and economic terms.
Grant Report on PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis

We report on the ongoing project “PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis” describing completed and future work supported by this grant. This project is a multi-site, multi-study collaboration effort with research spanning seven sites across the US and Canada. The overall goal of the project is to study neurodegeneration within Alzheimer’s Disease, Frontotemporal Dementia, and related neurodegenerative disorders, using a variety of brain imaging and computational techniques to develop methods for the early and accurate prediction of disease and its course. The overarching goal of the project is to develop the earliest and most accurate biomarker that can differentiate clinical diagnoses to inform clinical trials and patient care. In its third year, this project has already completed several projects to achieve this goal, focusing on (1) structural MRI (2) machine learning and (3) FDG-PET and multimodal imaging. Studies utilizing structural MRI have identified key features of underlying pathology by studying hippocampal deformation that is unique to clinical diagnosis and also post-mortem confirmed neuropathology. Several machine learning experiments have shown high classification accuracy in the prediction of disease based on Convolutional Neural Networks utilizing MRI images as input. In addition, we have also achieved high accuracy in predicting conversion to DAT up to five years in the future. Further, we evaluated multimodal models that combine structural and FDG-PET imaging, in order to compare the predictive power of multimodal to unimodal models. Studies utilizing FDG-PET have shown significant predictive ability in the prediction and progression of disease.
Comparing machine learning and ensemble learning in the field of football

Football has been one of the most popular and loved sports since its birth on November 6th, 1869. The main reason for this is because it is highly unpredictable in nature. Predicting football matches results seems like the perfect problem for machine learning models. But there are various caveats such as picking the right features from an enormous number of available features. There have been many models which have been applied to various football-related datasets. This paper aims to compare Support Vector Machines a machine learning model and XGBoost an Ensemble learning model and how Ensemble Learning can greatly improve the accuracy of the predictions.
Prevalence and factors associated with postpartum depression at a primary healthcare facility in Eswatini

Background Routine mental health screening has not been integrated into maternal and child health (MCH) services in many developing countries, including in Eswatini (formerly Swaziland). As a result, the burden of postpartum depression (PPD) is not well understood and thus PPD remains untreated in such settings. Aim To describe the prevalence and factors associated with PPD among women seeking postnatal and child welfare services at a primary healthcare facility in Eswatini. Setting The study was conducted at the King Sobhuza II Public Health Unit in Manzini, Eswatini. Methods This was a cross-sectional study that used convenience sampling and the Edinburgh Postnatal Depression Scale (EPDS) to screen for depression among 114 mothers during the first 6 weeks of postpartum at the King Sobhuza II Public Health Unit, Manzini, Eswatini. Multiple logistic regression analysis was conducted to determine sociodemographic and clinical factors associated with PPD. Results A majority of the participants were older than 24 years (52.6%) and unemployed (64.9%), whereas 47.4% screened positive for PPD (≥ 13 score). Adjusting for other covariates, those who were unemployed (odds ratio [OR] = 3.20, 95% confidence interval [CI] 1.17–8.79) and with poor social support from their partners (OR = 9.41, 95% CI: 3.52–25.14) were more likely to be depressed, while those who attended antenatal classes fewer than four times were less likely to be depressed (OR = 0.32, 95% CI 0.11–0.92). Conclusion We found a high prevalence of PPD. There is a need to introduce routine maternal mental health screening during the postpartum period to ensure early detection and treatment of PPD.
Analysis for Improving Intrusion Detection System in Wireless Network

The Wireless is word that defined as "having no wires". In networking terminology, wireless is the term used to define in a computer network where there is no physical wired connection between sender and receiver, but rather the network is associate d with radio waves and/or microwaves to maintain communications. Wireless networking utilizes specific tools such as NICs, APs and routers in place of wires (copper or optical fiber) for connecting the network. WLAN is commonly referred to as wireless fidelity (WI-Fi). This paper focus on detecting intrusion or anomalous (abnormal) behavior of nodes in WLAN’s using signature based Intrusion detection technique. We explore the security vulnerabilities of 802.11 and numerous intrusion detection techniques.This paper, indicates the developing history of the Wireless Intrusion detection system (WIDS), and then sum up the related work on Wireless Intrusion Prevention System (WIPS) through an RF jamming technique.
Interpretable detection of unstable smart TV usage from power state logs

Power state logs from smart TVs are collected in order to construct a time-series representation of their usage. Time-series that belong to a TV exhibiting instability problems are classified accordingly. To do so, an automated feature extraction approach is used, together with linear classification methods in order to realise interpretable classification decisions. A normalized true positive rate of 0.84 ± 0.10 is obtained for the classification. The normalized true negative rate equals 0.80 ± 0.03. The final model returns a regularity statistic called the Approximate Entropy as its most important feature.
Tilburg University Number and prioritization of central bank objectives

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Deteksi Asap pada Video menggunakan LBP – TOP Smoke Detection on Video Using LBP – TOP

Smoke detection on video has a rapid advancement with supported methods that have been developed method and the performance of computers that the more up-to-date performance. Video Smoke itself is hard to recognize even by our own eyes because the smoke is easily carried by the wind. So now the smoke detection using the instrument sensor is more applied, but smoke detection uses longer sensors in detecting smoke than smoke detection in video in open space. LBP TOP is a texture extracting method. 3 dimensional texture extracting taken from moving objects results from Three-Frame Differencing. the moving object will be extracted texture using LBP-TOP and taken 4 features using color moment into 4 dimensional vector which will be classified using K-Nearest Neighbor. In this final project has been created smoke detection system on video using LBP-TOP The correct parameters on the system for this detection system on video based on serial testing are threshold 7 and time span 10 on Three-Frame Differencing, neighborhood 2 and time span 20 on LBP TOP, K value 9 at KNN with accuracy at frame level of 82.5%. and boxing level 52%. Keyword: multi-agent, BDI, IDS, Value, simulation. Keyword : LBP – TOP , subblok , Three-Frame Differencing , Histogram , K –Nearest Neighbor,plane.