Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Activity Recognition on Smartphones using Machine Learning Algorithms

Activity Recognition is one among the most imperative period at the back of various applications like human survey system, clinical investigation and it is a functioning examination subject in smart homes and smart health. Smart mobiles are outfitted with various worked in detecting sensors like a gyroscope, accelerometer, GPS sensor and compass sensor. We can structure a device to catch the condition of the user. Activity Recognition (AR) framework takes the unrefined sensor data from compact sensors as sources of information and assessments a human movement using data mining and machine learning systems. In this paper, we examine the execution of two sort calculations i.e. Random Forest (RF) and Modified Random Forest (MRF) in an online Activity Recognition framework running on Android frameworks and this technique can underpin online training and class the utilization of the accelerometer data most successfully. For the most part, first, we utilize the Random Forest classification algorithm related next we tend to use an improvement of Modified Random Forest i.e. MRF. For the rationale of Activity Recognition, Modified Random Forest will expel the computational complexities of the Random Forest through developing decision trees (creating littler preparing units for each activity and class may be done dependent on those diminished preparing sets). We will expect the general execution of these classifiers from a movement of observations on human movements like sitting, walking, running, resting and standing in an online activity recognition contraption. On this paper, we're proposed to break down the general execution of classifiers with constrained preparing records and confined open memory on the smart devices contrasted with offline.
MANEJO DE LAS NAÚSEAS Y VÓMITOS EN EL EMBARAZO CONSENSO DE LA FEDERACIÓN COLOMBIANA DE ASOCIACIONES DE PERINATOLOGÍA (FECOPEN). BOGOTÁ, 2016

Introduccion: Las nauseas y vomito del embarazo (NVE) son descritas como una condicion comun que afecta a la salud de la mujer embarazada y a su feto. Contribuye de manera significativa a los costos de salud y perdida de tiempo laboral. El objetivo de este consenso es brindar al lector los elementos de juicio que a la luz de la evidencia, permitan enfocar de manera integral la patologia, diagnosticarla y brindar el esquema de tratamiento mas pertinente, con el fin de identificar las potenciales complicaciones de la entidad. Materiales y metodos: La FECOPEN convoco a una reunion de expertos nacionales, con el proposito de realizar un consenso no formal de expertos basados en una revision de la literatura para identificar la informacion mas relevante con respecto a las Definiciones, Epidemiologia, Patogenesis, Hiperemesis Gravidica, Diagnostico, Diagnostico Diferencial, Morbilidad Materna, Resultados Perinatales y Esquemas de Tratamiento. Resultados: 79 articulos fueron incluidos para el analisis final asi: Epidemiologia 10, patogenesis 10, Hiperemesis gravidica 26, diagnostico 10, Morbilidad materno fetal 19, tratamiento 9. Algunos articulos fueron utilizados para diferentes items. Conclusion: es una entidad multifactorial que requiere un manejo integral. Se propone un esquema practico de facil seguimiento. CONSENSUS OF THE COLOMBIAN FEDERATION OF PERINATOLOGY ASSOCIATIONS (FECOPEN). MANAGEMENT OF NAUSEA AND VOMITING OF PREGNANCY, BOGOTA 2016. ABSTRACT Introduction: Nausea and vomiting of pregnancy (NVE) is described as a common condition that affects health of the pregnant woman and the fetus. It contributes significantly to health care costs and lost working time. The objective of this agreement is to provide the reader with evidence that allows to focus holistically pathology, to diagnose and provide the most appropriate treatment scheme in order to identify potential complications of the entity. Materials and methods: the FECOPEN convened a meeting of national experts in order to conduct a non formal consensus based on literature review to identify the most relevant regarding definitions, epidemiology, pathogenesis, Hyperemesis gravidarum, diagnosis, differential diagnosis, maternal morbidity, perinatal outcomes information and treatment schemes. Results: 79 items were included for final analysis: epidemiology (10), pathogenesis (10), Hyperemesis gravidarum (26), diagnosis (10) maternal fetal morbidity, treatment (9). Some of them were used for different items. Conclusion: This is a multifactorial disease that requires a comprehensive management. A practical easy guideline scheme is proposed.
The Effects of a Game Changing Posture Gear on Chest Expansion and Rehabilitation

Chronic poor posture can be either acquired or the result of a genetic disorder. It is a prevalent issue and can lead to numerous musculoskeletal complaints, impacting physical and mental health. Kyphosis, or progressive slouching, is also associated with restricted thoracic mobility and a sedentary lifestyle, and often leads to limited chest expansion and poor pulmonary functions. One study found that those who are in a sedentary environment for over seven hours per day have reduced thoracic mobility because of habitual poor posture [1]. A decrease in thoracic mobility is associated with neck and shoulder muscle pain [2,3]. Forward head posture has also been found to cause structural changes that lead to defects in breathing and respiratory functions [4]. A sedentary position corresponds with high levels of Electro Myographic (EMG) activity in the neck and shoulders relative to those of a straight, standing posture, showing there is increased strain on these muscles when sitting [5]. A study conducted by Tudor L et al. [6] found that people with sedentary occupations spend about 11 hours per day sitting down. These findings suggest that the excessive time people spend in sedentary positions through work or other lifestyle factors puts stress on the body, affecting their posture and breathing, as well as neck and shoulder muscles.
Soft Computing Based Intrusion Detection System

--- Intrusion Detection System is used to detect the unwanted activities over the network and to design IDS soft computing techniques are used. This paper describes the role of Artificial Neural Network, Fuzzy Logic and Genetic Algorithm in Intrusion Detection System. The artificial neural network learning algorithms, data retrieval using fuzzy logic under uncertainty and power of Genetic algorithm to optimize the decision of fuzzy inference system in aspect of IDS are discussed. Main focus of the paper is to combine all the modules of the IDS and explaining the role of soft computing
A RCC MPPT based open-end winding induction motor drive for pumping applications

An open end winding induction motor (OEWIM) presents an integrated solution for a photovoltaic (PV) fed water-pump drive system. The dual-inverter-fed OEWIM drive achieves the functionality of a three-level inverter and requires low worth dc-bus voltage. This helps in an optimal arrangement of PV modules, which could avoid large strings and helps in refining the PV performance with wide bandwidth of operating voltage which in turn decreases the voltage rating of the dc-join capacitors and switching devices incorporated in the system. The proposed control system accomplishes a summation of both maximum power point tracking (MPPT) followed by V/f control for the productive usage of the PV boards and the machine. Proposed method is implemented by using RIPPLE correlation control. The proposed control plan requires the detecting of PV voltage and current as it were.By implementing this technique number of sensors required is less. All the simulation results of this work under various natural conditions are presented in this paper.
Proposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public Universities

Integration of technology in learning such as Electronic-learning has become an indispensable segment of higher education in Sub-Saharan Africa. This has opened up opportunities that improve teaching and learning. There is need for intervening in e-learning environments towards developing Self-regulated learning support, which can lead to improvement in performance and learner retention. SRL provides students with capability to acquire and update complex and systemic concepts and make judgements about their progress as they do so. Lack of ability to self-regulate is a major reason for dropout rates and poor performance in E-learning courses, due in part to students not recognizing the effort and organization required to succeed in online courses and the difficulty for instructors to monitor student progress. This study was carried out in order to develop an SRL model for collaborative e-learning based on SRL theories to determine the SRL strategies to model. The study proposes an SRL model based on Social Cognitive Theory of SRL as an intervention for reducing drop-out rates and improving performance of e-learning environments in Kenyan Public Universities.
Investigation and Analysis of Hough-DCT-Hamming Distance Based Method of Iris Recognition

: As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of this system is majorly depends on use of such techniques. In this paper we will first present the literature review over the different methods for iris segmentation, iris encoding as well matching. Thereafter, we will present the experimental evaluation of Hough-DCT-Hamming distance based Iris Recognition system. We simulated this approach using MATLAB and different datasets.
Assessment of Poverty in Coastal Zone of Tirunelveli District, Southern Tamilnadu using Geoinformatics

The study carriedout during 2007 major Tsunami episode occurred,its affects damaged to coastal property as well as economically damaged to people’s property. In this study has carried out to find out the coastal poverty location along the coast of Tirunelveli District of Tamilnadu. The parameters like gender, religion, family, occupation, house type, electricity, family members, education, total income, food expentiture, cloth expentiture, education expenditure, saving and debt information. The thematic GIS overlays of different layers were carried out to find out the coastal poverty location.The final results show the level and magnitude of poverty level is noticed. The GIS based analysis of socioeconomic data is significant to understand society as well as country economic development. Keywords---Tsunami, Property, Coast, Expenditure, GIS, Poverty
Financial Fraud Prediction Models: A Review Of Research Evidence

Despite reports about significant advances in techniques for prediction of financial frauds research findings till now do not provide specific evidence or tools for predicting frauds that could be averted. Researchers have explored different methods with varied degree of success relying on financial data as well as non-financial factors for their purpose. This paper reviews reported models/evidence including adaptations/improvements in the models used during investigation. Fraud triangle theory specified by Cressey in 1953 is at the foundation applied in empirical predictive modelling postulated by a number of researchers. Prominent contributors are Beasley, M.S. (1996). , Dechow, et al. (1996). ,Beneish M. D. (1997). , Nieschwietz et al. (2000), Skousen and Wright (2008). Convergence of fraud triangle theory to fraud diamond theory was suggested by Wolf and Hermanson in 2004. This paper additionally reviews specific computational models known as Z-Score (Altman,1968 ), M-Score (Beneish, 1999, 2012), and computer software based models from Green B.P. & Choi J.H. (1997) Zaki & Theodoulidis (2013) and Arta & Seyrek, (2009). There is a noticeable changing trend in research going towards numerous investigations now using computer supported machine learning and artificial intelligence tools for prediction of financial frauds. At the end an assessment is made about degree of success achieved in prediction of financial frauds till date. Empirical fraud prediction, Fraud Triangle/Diamond, M-Score, Z-Score, Machine Learning & Artificial Intelligence for fraud prediction.
NUTRITION AND HEALTH POLICIES FOR THE CHILDREN IN UTTAR PRADESH

Human resource is one of the greatest strength of our country. However, poverty and unemployment lead to an increase in health problems and diseases. Government’s Health policy enables to direct the attention towards the key problem. Uttar Pradesh has the highest number of malnourished children, thus making the State most under-nourished state of the country. With the use of diverse sources i.e. government reports and records, newspapers etc, explore the state policies in eradicating under nutrition among the children and analyse the impact of these policies in improving the nutritional status and reducing the child mortality and morbidity in the State. Together with this, analysis of the nutrition programmes such as State’s Nutrition Mission, Mid- day Meal scheme and its impact will also be studied here. The poor state of nutrition of children is due to lack of comprehensive policy, low nutrition budgeting but above all the gap in implementation of State’s Nutrition Mission Program and other schemes at ground level.
Inhibitory Effects of Averrhoa bilimbi Extract on Human Cervical Cancer Cells through Inducing G0/G1 Cell Cycle Arrest and p53-Mediated Mitochondrial Apoptosis Pathway

Decades of research have acknowledged that cancer is easier to prevent than to treat and that consumption of fruits and vegetables are linked to a reduce risk of cancer. One such promising approach is through cancer chemoprevention. In search for naturally occurring anticancer agents, a potential fruit extract was found to exert anticancer properties in vitro without any cytotoxic effect on normal cells. This study investigated the growth inhibitory and antiproliferative effect as well as the underlying cell death pathway induced by bilimbi (Averrhoa bilimbi) ethanolic extract on human cervical cancer cell line, HeLa. Anticancer potential of bilimbi extract was conducted by investigating the in vitro growth inhibitory effect, DNA fragmentation, cell cycle progression and anti-proliferation assay. Release of caspases, cytochrome c and apoptotic proteins were demonstrated to determine the mechanism of cell death pathway. Findings revealed that bilimbi significantly inhibited growth of HeLa cells in vitro. Bilimbi cytotoxic activity is likely due to the induction of apoptosis mediated by cell cycle arrest at G0/G1 checkpoint. Further evidences proved the induction of cell death as a consequence of apoptosis rather than necrosis. Released of cytochrome c coupled with upregulation of caspase-3/7, caspase-9, p53 and Bax pro-apoptotic proteins accompanied by downregulation of Bcl-2 anti-apoptotic proteins implied that bilimbi induced p53-mediated mitochondrial apoptosis pathway in HeLa. Collectively, this study suggests bilimbi ethanolic extract as a potential anticancer agent capable of inducing growth inhibitory effect and apoptosis on cervical cancer cell line.
Analysis the Optical Behavior and Stability Graphene Structures using DFT Method

Employing DFT method, Graphene molecule whose zigzag edges are filled with hydrogen, is simulated and computed orthogonally based on B3LYP/6-311G in 4 structures with different numbers of carbon and hydrogen. Different quantities such as stability, density of states and band gap are investigated in each case. By Structure Development, the stability is increased and the computed band gap and hardness are decreased. However, the polarizability increases and Fermi level becomes higher.
Inhibitory Effects of 1-[2-Cyano-3,12-Dioxooleana-1,9-Dien-28-Oyl] Methyl Ester (CDDO-Me) and Curcumin on Multiple Myeloma Cell Growth

Multiple myeloma (MM) is a plasma cell cancer featured by accumulation of malignant cells preferentially in the bone marrow leading to severe bone disease in humans. In order to identify potential drug candidates for MM disease treatment, we investigated the effects of two plant-derived compounds,1-[2-cyano-3,12-dioxooleana-1,9-dien-28-oyl] methyl ester (CDDO-Me) and curcumin, in proliferation of MM cells maintained in suspension cell culture and three-dimensional (3D) microenvironments in vitro. The effects of CDDO-Me and curcumin on cell proliferation were evaluated in MM RPMI 8226 cells in both suspension cell culture and 3D (encapsulated) gelatin hydrogels. Cell viability was estimated using Presto Blue assay in suspension culture and the Live/Dead assay in 3D hydrogels. Induction of apoptosis was determined through PE Annexin V: 7-AAD two-color flow cytometric analysis for cells in suspension culture. Both CDDO-Me and curcumin doseand time-dependently inhibited proliferation of MM cells in suspension cell culture. The inhibitory effects of both compounds were significantly attenuated when treating MM cells encapsulated in the 3D gelatin hydrogels. Apoptotic MM cells in suspension cell culture were increased following incubation with higher doses of both compounds. Our data indicate that CDDO-Me was a more potent cytotoxic agent for MM cells cultivated in suspension cell culture than curcumin. The gelatin-based 3D hydrogels hindered the therapeutic potency of both drugs, suggesting that MM cells may be more resistant to the cytotoxic effects of these agents when cultured in a biologically relevant 3D environment.
Weighted Page Rank Algorithm Based on Number of Visits of Links of Web Page

: The World Wide Web consists billions of web pages and hugs amount of information available within web pages. To retrieve required information from World Wide Web, search engines perform number of tasks based on their respective architecture. When a user refers a query to the search engine, it generally returns a large number of pages in response to user’s query. To support the users to navigate in the result list, various ranking methods are applied on the search results. Most of the ranking algorithms which are given in the literature are either link or content oriented. Which do not consider user usage trends. In this paper, a page ranking mechanism called Weighted PageRank Algorithm based on Visits of Links (VOL) is being devised for search engines, which works on the basis of weighted pagerank algorithm and takes number of visits of inbound links of web pages into account. The original Weighted PageRank algorithm (WPR) is an extension to the standard PageRank algorithm. WPR takes into account the importance of both the inlinks and outlinks of the pages and distributes rank scores based on the popularity of the pages. The proposed algorithm is used to find more relevant information according to user’s query. So, this concept is very useful to display most valuable pages on the top of the result list on the basis of user browsing behavior, which reduce the search space to a large scale. The paper also presents the comparison between original and VOL method.
Lifting Based Wavelet Transform for Lossy to Lossless Image Coding

: In the field of image coding many researchers demand increases for application in multimedia, communications and computer networks. It provides higher compression ratio which is desired and retaining good image quality which is needful in the present demanding environment . Many multimedia applications are demanding for low memorydisk space requirement, faster and good perceptual quality for images/video. This paper, reviewed abundant attempts made by researchers which fulfill the requirement of lossy to lossless coding. Mostly used image coding was DCT which is replaced by DWT. This paper have presented various methods for lossy to lossless image coding domain. In the field of research there is the advancement in filter banks and wavelet transforms based lifting, image coding with filter banks is currently best suitable method in all aspects.
Analyzing The Severity of The Diabetic Retinopathy and Its Corresponding Treatment

Diabetic-related eye disease is a major cause of blindness in the world. It is a complication of diabetes which can also affect various parts of the body. When the small blood vessels have a high level of glucose in the retina, the vision will be blurred and can cause blindness eventually, which is known as diabetic retinopathy. Regular screening is essential to detect the early stages of diabetic retinopathy for timely treatment and to avoid further deterioration of vision. This project aims to detect the presence of abnormalities in the retina such as the structure of blood vessels, micro aneurysms and exudates using image processing techniques by automating the detection of Diabetic retinopathy (DR). This Process is achieved by the fundus images using morphological processing techniques to extract features such as blood vessels, micro aneurysms and exudates and then we calculate the area of each extracted feature. Depending on the area of each feature we classify the severity of the disease. Then finally by knowing the severity of the disease corresponding treatment measures can be analyzed. It will surely help to reduce the risk and increase efficiency for ophthalmologists.
Effect of Melatonin Supplementation on Serum LH Level and BMI in Women with Polycystic Ovarian Syndrome

Background: Melatonin is a pineal gland secreted hormone and plays a role in circadian rhythms, sleep, reproduction, mood, tumor growth, and aging regulation . It has an inhibitory effect on GnRH secretion. Also, body weight has been shown to be affected by melatonin. The aim of this study: is to evaluate the effect of supplementation of melatonin on S. LH and body BMI in patients with polycystic ovaries in whom obesity and elevated LH level were important pathological features. Patients and methods: Three study groups:30 PCOS patients received melatonin 3mg tab at 10 p.m. daily for 2 months, 20 PCOS patients didn’t take any treatment and 20 healthy control group. Results: The s.milatonin level was significantly higher in control group and s. LH was significantly higher in PCOS patients than control group also there was a significant negative correlation between s.melatonin level and both s.LH and BMI and a significant positive correlation betweens.LH and BMI. melatonin treatment resulted in reduced s.LH and BMI. Conclusion melatonin treatment has beneficial effects on PCOS patients by affecting s.LH and body weight.
Effect of Defatting or Protein-removing Treatment of Wheat Flour on its Pasting, Thermal and Rheological Properties

Abbreviations Used: A-WF, Alcohol treated wheat flour; BD, Breakdown viscosity; DF-WF, Defatted wheat flour; DP-WF, Proteinremoved wheat flour; DSC, Differential scanning calorimetry; FV, Final viscosity; G9, Storage modulus; PT, Pasting temperature; PV, Peak viscosity; R14, Retrogradation ratio stored at 4°C for 14 d; RVA, Rapid visco analyzer; SB, Setback viscosity; tand, Loss tangent values; Tc, Conclusion temperature; To, Onset temperature; Tp, Peak temperature; WF, Wheat flour; ΔHgel, The gelatinization enthalpy; ΔHret14, The melting enthalpy after stored at 4°C for 14 d