Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting Electrical Load for Home Appliances using Genetic Algorithm based Back Propagation Neural Network

— The combining usage of genetic algorithms and artificial neural networks, were originally motivated by the astonishing success of these concepts in their biological counterparts. Despite their totally deferent approaches, both can merely be seen as optimization methods, which are used in a wide range of applications. “Genetic algorithms (GA) are good at taking large, potentially huge search spaces and navigating them, looking for optimal combinations of things, solutions you would find difficult to accomplish. ” A genetic algorithm (GA) is an iterative search, optimization and adaptive machine learning technique premised on the principles of Natural selection. They are capable to finding solution to NP hard Problems. Neural Networks utilizing back propagation based learning have promisingly showed results to a vast variety of function and problems. Electrical load forecasting is one such classical problem for computation. This paper presents the application of GA based Back propagation Network for long term load forecasting in power system. This problem is formulated as optimization problem. Advantages and disadvantages of this algorithm are reported and discussed.
Solving Classification Issues Over Encrypted Data

— Data Mining and Cloud computing are the two very technologies that makes the classification and storage of the data so simple. The classification tasks of data mining is very useful, however it leads to certain privacy issues. Hence, several solutions have been suggested over the years. With the invention of cloud computing users can now outsource their data over to the cloud along with several data mining tasks that can be performed there. Even if the cloud provides so splendid features, it however gives rise to certain security issues which makes data storage difficult. So, the data is uploaded over it in ‘encrypted form’ to ensure encryption of data. The classification technique, however, does not apply over the ‘encrypted data’. Hence, we aim to solve the classiﬁcation (k-NN Classiﬁer) problem over the encrypted data.
Antibacterial Activity of Punica granatum, Allium sativum and Piper nigrum against Methicillin Resistant Staphylococcus aureus(MRSA) isolated from Wound Infections in Al-Hilla, Iraq

A total of 65 clinical samples were collected from patients suffering from wounds infections who admitted to Al-Hilla General Teaching Hospital. Among total 76bacterial isolates were identified,48(63.16%) isolates of S. aureus and all of them 48(100%) were methicillin resistant S. aureus(MRSA) depending on the rsults of antimicrobial susceptibility test of methicillin disc(5mg)and the cultivation on CHROM Agar MRSA Medium. Antibacterial activities of ethanolic, methanolic and aqueous extract of Punica granatum, Allium sativum and Piper nigrum agains MRSA. These three plants are mostly used in the prescriptions of folk medicine in Iraq.The antibacterial activity was measured by agar well diffusion Method and all extracts of Punica granatum showed high antibacterial activity with maximum inhibition zone (31-40)mm. Ethanolic and methanolic extracts of Allium sativum and piper nigrum have antibacterial activity, while their aquesous extracts have no antibacterial activity against MRSA.
Effects of Two Experimental Models of Osteoporosis on Alveolar Bone: Histopathologic and Densitometric Study

Aim: The aim of this study was to compare two different models of osteoporosis radiographically and histopathologically and evaluate the effect of osteoporosis on alveolar bone. Methods: Twenty two rats were involved in this study. Study groups are; Control (C, n=6) group; retinoic acid-induced osteoporosis group (EG-1, n=8) and bran bread-induced osteoporosis group (EG2, n=8). Retinoic acid induced osteoporosis was created by intraperitoneal injection of 70 mg/kg retinoic acid for 15 days. Bran bread induced osteoporosis was created with the replacement of normal rat diet to the bran bread for 45 days. The study period began with the osteoporosis induction. Rats were kept alive for 15 days and then sacrificed. Femurs and mandibles of the rats were extracted and digitalized radiographs were taken. Density measurements were performed on radiographs. Mandibles of the rats were examined morphologically and histopathologically. Receptor Activator of Nuclear Factor Kappa-B Ligand (RANKL) and TRAP staining were performed on histological slides. Results: There was no significant difference in RANKL expression among groups (p>0.05). Femoral density was lower in the EG2 group than those of the others (p<0.05). Mandibular density was lower in the EG2 group than EG1 (p<0.05). TRAP positive osteoclast numbers were higher in the EG2 group than other groups (p<0.05). Conclusion: Within the limitations of this study, we concluded that bran bread induced osteoporosis may decrease mandibular bone density and may increase osteoclastic activity but both model of osteoporosis did not affect alveolar bone morphology.
Etiología y sensibilidad antibiótica de infección del tracto urinario en menores de 4 años en el Instituto Nacional de Salud del Niño durante el año 2008

INTRODUCCION: La Infeccion del tracto urinario (ITU) es una de las infecciones bacterianas mas frecuentes en Pediatria. OBJETIVOS: Describir la etiologia y sensibilidad antibiotica en infeccion del tracto urinario en pacientes de O a 4 anos del Instituto Nacional de Salud del Nino durante el ano 2008. MATERIALES Y METODOS: El presente trabajo es un estudio descriptivo, transversal, retrospectivo y cuantitativo. Se realizo en el Instituto Nacional de Salud del Nino (INSN), con historias clinicas de ninos diagnosticados de Infeccion del Tracto Urinario (ITU) con urocultivo positivo entre Enero 2008 - Diciembre 2008. RESULTADOS: De los 118 urocultivos positivos el que tuvo mayor frecuencia en cuanto a ambos sexos y todas las edades fue la E. Coli con 87 (73,7 por ciento), seguido de Klebsiella (7; 5.9 por ciento) Y Pseudomona (5; 4,2 por ciento). 97 (82,2 por ciento) corresponde a pacientes hospitalizados y 21 (17.8 por ciento) para los atendidos por consultorio externo. El predominio de E. Coli en ambos sexos fue de 87 (73,7 por ciento) seguido por Klebsiella 4 (5.6 por ciento) y Pseudomona 3 (4.2 por ciento) por ciento) siendo la E.Coli predominante en el sexo femenino en 57 (79.2 por ciento). (AU) INTRODUCTION: Urinary tract infection is one of the most common bacterial infections in children. OBJECTIVES: To describe the etiology and antibiotic susceptibility in urinary tract infection in patients aged O to 4 years of the National Institute of Child Health in 2008.MATERIALS AND METHODS: This study is a descriptive, transversal, retrospective and quantitative. Was performed in NIH Child (INSN) with stories clinics children diagnosed with Urinary Tract Infection (UTI) for a positive urine culture between January 2008 - December 2008. Results: Of the 118 positive urine cultures, which was more frequent in both sexes; and all ages was 87 E. coli (73.7 per cent) followed by Klebsiella (7, 5.9 per cent) and Pseudomonas (S, 4.2 per cent). 97 (82.2 per cent) in hospitalized patients and 21 (17.8 per cent) for those treated in outpatient. The prevalence of E. coli in both sexes was 87 (73.7 per cent) followed by Klebsiella in April (5.6 per cent) and Pseudomonas 3 (4.2 per cent) per cent). and the prevalence of E. coli predominant in females in 57 (79.2 per cent). (AU)
Optimal Route Search Using Spatial Keyword Query

— Optimal route search using spatial keyword query focus on keyword searching using best keyword cover query which is a form of spatial keyword query. It operates on spatial objects stored in spatial database and comes with algorithms that can retrieve answer in a fast manner. Best keyword cover query aims to find objects associated with keywords. The method proposed considers keyword rating, keyword relevance and spatial relevance . It also helps to retrieve data based on Boolean range query.
Family violence and its relationship between Coping strategies and Psychological hardness among female students of king

Fatma Elsayed, Ph.D 1 * Eman Elyas, Ph.D 2 * 1-Assistant Professor of Psychology Faculty of Arts and Humanities -king Abdul Aziz University 2Assistant Professor of sociology Faculty of Arts-king Abdul Aziz University * E-mail :emanaleas@hotmail.com -This work was funded by the Deanship of Scientific Research (DSR), King Abdul Aziz University, Jeddah, under grant No. ( D1435-427-125 ). The authors, therefore, acknowledge with thanks DSR technical and financial support. Abstract
Hepatocellular Carcinoma Sub-types in North-Central Nigeria: A Histological Review of Liver Biopsies

Introduction: Hepatocellular carcinoma (HCC) is the 6 most common cancer worldwide and a greater burden of this disease is born by the hepatitis B virus (HBV) endemic and resource deficient sub-Sahara Africa. This investigation was carried out to determine the pattern of hepatocellular carcinoma sub-types in north-central Nigeria. Materials and Methods: Archival formalin fixed and paraffin embedded 374 liver biopsy specimen blocks were obtained, sectioned, re-stained and examined histologically. Classification of primary liver cancers was done according to standard World Health Organisation criteria. Results: Chronic HBV infection was found in 219 (58.6%) and cirrhosis in 29 (7.8%) cases. HCC Original Research Article Vhriterhire et al.; BJMMR, 12(4): 1-8, 2016; Article no.BJMMR. 21772 2 occurred in 76 (20.3%) cases with background cirrhosis in 18 (23.7%) of the HCC. The HCC subtypes found were the trabecular 54 (71.1%), acinar 10 (13.2%) and mixed trabecular and acinar 6 (7.9%), clear cell 5 (6.6%) and fibrolamellar 1 (1.3%) respectively. Conclusion: HCC is the most common histologically diagnosed primary liver cell carcinoma with the trabecular subtype as the predominant variant in Nigeria, followed by the pseudoglandular and the mixed types.
EDDR 1 is a Potential Immunotherapeutic Antigen in Ovarian , Breast , and Prostate Cancer

Abbreviations: EDDR1: Epithelial Discoidin Domain Receptor 1; MHC: Major Histocompatibility Complex; HLA: Human Leukocyte Antigen; CTL: Cytotoxic T Lymphocytes; qRT-PCR: Quantitative Reverse Transcribed Polymerase Chain Reaction; PBMC: Peripheral blood mononuclear cells; GM-CSF: Granulocyte Macrophage Colony Stimulating Factor; KLH: Keyhole Limpet Hemocyanin; ELISpot: Enzyme Linked ImmunoSpot; HRP: Horse Radish Peroxidase; DAB: 3,3 ́-diaminodbenzidine; EOC: Epithelial Ovarian Cancer; CNS: Central Nervous System; PCA-1: Prostate Cancer Antigen-1
Temporal Sentiment Analysis: A Review

Natural language processing is a most common area of research that probe how computer understand and manipulate natural language text or speech to do useful things. Sentiment analysis is one of the active research area in natural language processing. Sentiment analysis is process of determining the emotional tone behind a series of words, identifying and categorizing opinions expressed in a entity, in order to derive whether the writer’s attitude towards a areas in natural language processing. Sentiment analysis based on temporality is gaining much attention in many real time applications. This manuscript highlights the key concepts of various state-of-art temporal sentiment analysis along with the research gaps. It also put focus on the normalization of various temporal expressions. It covers different temporal expressions and the methods for normalization of these expressions. The main focus is to find the research gaps in temporal sentiment analysis. To facilitate the future work, a discussion of state-of-art resources and methods for temporal sentiment analysis is also provided.
Influence of Macrophyte Types towards Agrochemical Phytoremediation in a Tropical Environment

1 Nelson Mandela African Institution of Science and Technology (NM-AIST), Department of Water Environmental Science and Engineering, P. O. Box 447, Arusha, Tanzania. E-maillemae@nm-aist.ac. tz Abstract The presence of agrochemicals waste water from agricultural fields poses major environmental and human health problems which may be solved by phytoremediation technologies. Phytoremediation is the use of plants to remediate contaminants in the environment. Batch experiments were conducted to evaluate the influence of four aquatic macrophytes (Cyperus papyrus, Typha latifolia, Cyperus alternifolius and Phragmites mauritianus) towards phytoremediation of agrochemicals from simulated wastewater in Arusha, Tanzania. The selected agrochemicals belonged to different categories namely heavy metal based (Cu, Fe, Mn and Zn) and pesticides (L-Cyhalothrin, Endosulfan and Permethrin). The change in mean concentration of the agrochemicals was described by first-order reaction kinetics. The results indicated that the removal rate constants were greater for the batch experiments planted with the macrophytes than for the control group. Furthermore, the rate of removal varied between the treatments for the different categories of agrochemicals. As far as heavy metals are concerned, Cyperus papyrus had a greater removal Cu and Fe with the k values of 0.338 d and 0.168 d respectively and Typha latifolia had a greater removal of Mn and Zinc with k values 0.420 d and 0.442 d respectively. On the other hand, the pesticides endosulfan and permethrin were greatly removed by Cyperus papyrus with k values 0.086 d and 0.114 d respectively. Lastly, L-Cyhalothrin was removed greatly by Typha latifolia with k value of 0.116 d. Generally, the results demonstrated that aquatic macrophytes can influence the reduction of agrochemicals in wastewater.
Defect Detection of Fabrics Made from Non-Newtonian Fluid based on DCT and DFT Sub-Block Method

: Non-Newtonian Fabrics are produced from Polymerization of Terephthalic Acid and Etylene Glycol. In view of manufacturing defects, the finished products are sold at a massive discount of 45%-65%. Presently manual inspection is being done, where an expert inspector detects only 70% of defects. Here, we are simulating automatic defect detection of fabrics by means of using computers. We proposed two algorithms; those are Discrete Cosine Transform and Discrete Fourier Transform.
Rough Sets for Feature Selection and Classification: An Overview with Applications

- Rough set theory provides a useful mathematical concept to draw useful decisions from real life data involving vagueness, uncertainty and impreciseness and is therefore applied successfully in the field of pattern recognition, machine learning and knowledge discovery. This paper presents an overview of basic concepts of rough set theory. The paper also surveys applications of rough sets in feature selection and classification.
Three Phase Induction Motor Drive Using Boost Converter and 3 Level Inverter Fed From Photovoltaic Panel

This paper proposes a topology of induction motor drive system integrating a boost converter and a three-phase 3 level inverter using solar photovoltaic panel. The motor is driven with the available power at the moment. To match impedance between the solar panel and motor load and to step up the panel voltage, a boost dc-dc converter topology is employed. Maximum power point tracking algorithm is implemented to extract maximum power from the PV panel. A 3 level inverter is used to drive the induction motor. To obtain optimum motor performance and to reduce THD of the inverter output waveform, we employed 3 level diode clamped inverter. The proposed system is simulated and results are discussed.
EEG based Brain-Computer Interface for Controlling Home Appliances

: Main aim of this paper is to help paralysed and physically disabled people to control the home appliances using Electroencephalogram (EEG) signals, so they become independent in their daily life. The BCI (Brain-Computer Interface) is considered as a recent and a unique transmission medium between the human brain and a computer. This approach offers an alternative communication path and the control system. It is referred as an artificial system that circumvents the human body’s normal adequate pathways, which are the neuromuscular output channels. Here, non-invasive Brain-Computer Interface approach is implemented. The NeuroSky brainwave sensor is used to sense the attention values of the brain signals and the eye blinks. The ARM7 processor is used as main interfacing device. According to the eye blink and the brain attention values the devices will be selected and through relays the switching on and off of the home appliances is done accordingly.
Oral Human Papillomavirus (HPV) Infection in Healthy Individuals and Patients with Head and Neck Squamous Cell Carcinoma (HNSCC)

Human papillomavirus (HPV) infection is the most common sexually transmitted disease. It also contributes significantly to infection-associated human malignancies, including cervical, anal, penile, vaginal, and vulvar cancer as well as a subset of head and neck squamous cell carcinoma (HNSCC). Despite our extensive knowledge on the role of HPV in the etiology of cervical cancer, cervical cancer screening, prevention, and clinical management, we have just begun to appreciate the role of HPV in the tumorigenesis of HNSCC. In this paper, we will review our current knowledge on the natural history of oral HPV infection in the general population, risk factors for oral HPV infection, the presence of novel HPV types infecting oral cavity, limitations of existing methods for oral HPV detection and its application in the clinical setting. Finally, we will also discuss the role of HPV vaccine in preventing HNSCC.
Mobile Sink Based Data Assemblage in Wireless Sensor Networks

A mobile sink, which is used to fetch data from various sensors to prevent the energy-hole problem or hotspot in WSN. To avoid the delay sustained by calling on the sensors a mobile sink is allowed to visit which is called as meeting points and the remaining nodes deliver their data to nearest rendezvous point. The improvement of sink’s data collecting method as well as the maximization of lifespan of the network is done by discovering a most favorable set of meeting points. However, it is very difficult to discover the assigned meeting points and moving way of mobile sink when the sensor produces data roughly. We propose an ultra-modern ACO based mobile sink data gathering in WSN. The important aims of the suggested algorithm are to elongate the existence of network and to reduce the delay in fetching data from sensor nodes. The algorithm also follows to again select the rendezvous points in order to stable the energy utilization of the sensor nodes.
Comparative Analysis and Detection of Street Parked Vehicles using Spatiotemporal Maps and Corner Detection Methods

Traffic control and efficient use of existing infrastructure are key challenges in recent time. This work carries out comparative analysis of various corner detection methods in different conditions, to detect presence of parked vehicles in street lanes. Different algorithmic implementations are used, to detect corners over targets in video stream and then classify them over a spatio-temporal analysis maps to identify parked vehicles. The system has been evaluated using i-Lids public dataset and has proven to be robust against common difficulties found in Closed Circuit Television (CCTV) such as high noise levels, varying illumination and the presence of momentary occlusion by other vehicles. This could be used to detect illegal and double-parked vehicles in metropolitan areas and to detect incidents on roads with lanes. This paper implemented three corner detection algorithms, Harris, SIFT and FAST and analyzed the comparative performances of all three implementations over different parameters viz. precision, recall, false alarm and then conclude on best performing algorithm. The comparative results are presented. General Terms Object detection, Harris corner detector, SIFT corner detector, FAST corner detector.
A comparative study of Conventional and CT based planning of Target volumes and organs at risk in Intra cavitary brachytherapy for Carcinoma of cervix

Introduction: Cervical cancer is the third most common malignancy in women worldwide, and it remains the leading cause of cancer related deaths in women in developing countries. In the management of cervical cancer, both intracavitary brachytherapy (ICBT) and external radiotherapy (ERT) are essential as they deliver a high dose to the primary tumor and low doses to adjacent organ. The dose can be delivered either by conventional orthogonal radiograph mapping or by the 3dimensional computed tomography mapping. In the present study, we have compared both the techniques. Aim and objectives: To compare intracavitary brachytherapy (ICBT) planning methods for cervical cancer based on orthogonal radiographs (conventional plan) and computed tomography sections (CT plan). Materials and methods: This was a prospective study, conducted in the department of Radiotherapy, MNJ Institute of Oncology and Regional Cancer Centre, over a period of two years from November 2012 to November 2014. The study consisted of total 25 registered patients having confirmed diagnosis of Squamous cell carcinoma of cervix. All the patients underwent conventional and CT planning for brachytherapy. One arm received the conventional plan of radiotherapy while the other arm received computed tomography (CT) based plan. Radhika Rani, R. Srikanth. A comparative study of Conventional and CT based planning of Target volumes and organs at risk in Intra cavitary brachytherapy for Carcinoma of cervix. IAIM, 2016; 3(9): 200-209. Page 201 Results: The patient age ranged from 35 to 65 years. The mean age was 47 years. The results of the study demonstrates that CT-guided brachytherapy planning is superior in terms of both conformity of target coverage and evaluation of OARs . Although this superiority was clear for small GTVs, for large GTVs both the conventional and CT-Plans had the drawbacks of inadequate target coverage and /or excessive radiation doses to normal organs. Conclusions: The conventional plan with the point A calculation relies on reference points on orthogonal films ,not tumor volumes defined on CT, which may cause underestimation of tumor doses. Likewise, the calculation of rectum and bladder doses made with ICRU reference points, not with bladder and rectal volumes may not reflect the actual organ doses. To overcome such problems, 3D CT-guided brachytherapy treatment planning is recommended.
Population Growth of Tomato Leaf Miner Moth (Tuta Absoluta) within Loitokitok Kajiado County-Kenya

The main purpose of the study was to assess the population growth of the invasive pest Tuta absoluta within Loitokitok district, Kajiado County in Kenya. The study used primary data that was collected from the experiment. The experiment was conducted to assess the population growth of Tuta absoluta. The study showed a variation on the number of Tuta absoluta collected from the protected and unprotected plants when Chlorantraniliprole was used to protect the plants from infestation. The results showed that the total mean number of larvae collected weekly during the period ranged from 1.3±0.6 to 20.8±3.4 in the protected plants and from 4.3±0.6 to 51.7±2.1 in the unprotected plants. Keywords: Tuta absoluta , Tomato, Population growth, Loitokitok Kajiado County-Kenya. DOI : 10.7176/JBAH/9-22-04 Publication date: November 30 th 2019