Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Dietary Inclusion of Probiotics and Organic Acids on Performance, Intestinal Microbiology, Serum Biochemistry and Carcass Traits of Broiler Chickens. J. World Poult. Res., 7 (2): 57-71.;

Department of Nutrition and Clinical Nutrition, Faculty of Veterinary Medicine, Beni-Suef University, Beni-Suef, Egypt Department of Animal Behaviour, Management and Development of Animal Wealth, Faculty of Veterinary Medicine, Minia University, Minia, Egypt Department of Food Safety and Technology, Faculty of Veterinary Medicine, Minia University, Minia, Egypt *Corresponding author's Email: Ibrahim.Youssef@vet.bsu. edu.eg Received: 14 April 2017 Accepted: 21 May 2017 ABSTRACT
HETEROGENEOUS NODE RECOVERY FROM A FAILURE IN WIRELESS SENSOR ACTOR NETWORKS

: The effectiveness of wireless sensor-actor networks deployed in search and rescue, battlefield reconnaissance, surveillance, and other applications depends on inter-node interaction. In WSAN, sensors probe their information from the physical world and forward their data to actor nodes then actors collaboratively respond to achieve predefined application mission. The network can be partitioned into disjoint blocks if an actor suddenly fails and violate such a connectivity goal. The simultaneous recovery scheme imposes a high node relocation overhead and bunch of topology changes and also extent inter-actor data paths. Our approach explore the simultaneous node recovery from a multi-node failure with maintain the nominal topology change by using the Least Disruptive PILOT (Pre-defined Intelligent Lightweight topology management) Node (LDPN) algorithm. LDPN algorithm, use a set of PILOT nodes that can be used whenever a link failure between two sensor nodes. This approach removes the faulty node by using the best PILOT node and it act as a bridge between two neighbors of failed node. The LDPN algorithm can reestablish the network connectivity and make sure that the minimal topology changes within the network.
Improvising Authenticity and Security of Automated Teller Machine Services

—This work aims at improvising the security and authenticity of the Automated Teller Machine (ATM) using a trusted third party application. This system would in turn benefit all the customers who have a valid ATM card registered officially with their mobile number. This system provides the following facilities of withdrawing currency at any remote terminal, verification of the end users identity using Personal Identification Number and an authentic One-Time-Passkey (Pk) validation through the mobile. The customers, without any insider privileges, can withdraw currency without being detected by any mechanisms of theft of card and eaves dropping of the Password from the card holders within the terminal software are also the major threat yet to be addressed. A basic solution is the ATM systems having a two tier authentication Pk and Random Security Question (RSQ) are being generated and validated from the user’s input from the ATM Terminal with authenticity being ensured and the confidentiality being maintained. In such a system, the correctness burden on the terminal’s code is significantly less as the customers have been given the chance to authorize themselves from their hand-held devices and are allowed to withdraw currency in terminal only after their identity is proved by a series of authentication procedures. In this paper along with the dual tier authentication implementation, the issues arise along with them and the solvencies to these issues related to the generation of the RSQ and Pk independent and unique for each session are addressed.
Study of Rayleigh Waves in Transversely Isotropic Dual Phase Lag Thermo- elasticity under Magnetic Field

ABSTRACT: The guiding equations of transversely isotropic Dual Phase Lag Thermo-elasticity (DPLT) along with the magnetic field were solved using the surface wave solution. Further, the frequency equation for Rayleigh waves is calculated by applying the particular solution using the boundary conditions at a surface which is thermally shielded as well as isothermal stress free. These conditions were also approximated to find the numerical solution for the non-dimensional velocity of Rayleigh waves. Later in this present work the Rayleigh wave’s speed is represented graphically for the various types of thermo-elasticity i.e. Lord and shulman thermo-elasticity (LS-T), coupled thermo-elasticity (CT), Dual Phase Lag Thermo-elasticity (DPLT) and magnetic field. The effect of Dual Phase Lag (DPL), transverse isotropy and Magnetic field are also monitored for the speed of Rayleigh wave.
A SURVEY ON ARIMA FORECASTING USING TIME SERIES MODEL

Time series modeling and forecasting has a fundamental importance to numerous realistic domain names. Therefore a whole lot of lively research works goes on in this subject at some point of several years. Many vital models were proposed in literature for enhancing the accuracy and efficiency of time collection modeling and forecasting. The intention of this paper is to expect the forecast the use of arima version gift a concise description of some famous time series forecasting models used in exercise, with their salient functions. Whilst fitting a model to a dataset, special care is taken to pick the maximum parsimonious one to evaluate forecast accuracy as well as to evaluate among distinct fashions suited to a time series models. ARIMA stands for [Autoregressive Integrated Moving Average Models]. ARIMA is actually a forecasting technique that projects the future values of a series based entirely on its own inertia. ARIMA is a superior to exponential smoothing techniques when the data is reasonably long and the correlation between past observations is stable. The following is a literature survey study on the various prediction models proposed, modeled and suggested by various authors earlier.
The Effect of Presentation Variety of Interactive Multimedia Learning to the Learning Result

research aims to investigate the impact of many kinds of computer-based interactive multimedia learning presentation to the learning result by controlling the student's prior knowledge. The kinds of learning presentation consist of multimedia learning with high interactivity ((animation visualization + narration) and (static visualization + clue + narration)) and multimedia learning with low interactivity ((animation visualization + narration) and (static visualization + clue + narration)). The research method used quasi experimental approach, with the kinds of multimedia learning presentation act as independent variable with 4 kinds of treatment, the student's learning result as the dependent variable, and student's prior knowledge as the covariate variable. The research was conducted in STMIK STIKOM Bali with the research subject is the students of even semester 2013/2014, and the analysis method used the Covariance Analysis. Based on the analysis results, it can be concluded that by controlling the student's prior knowledge of high interactivity multimedia learning group (built by Adobe Flash) is more effective than the low interactivity multimedia learning group (built by PowerPoint and Screencast-O-Matic). Besides that, on the high interactivity multimedia learning group, the effectiveness of the visualization content through animation+narration is equal with the content visualization through static visualization+clue+narration. This condition is also applied with the low interractivity multimedia learning. Keywordslearning, animation, high interactivity, low interactivity, prior knowledge, learning result.
Burden of Carers for Elderly People in Greece. Proposals to Alleviate it through Restructuring of the Care Model

Aim: The aim of this study was the assessment of Alzheimer patients carers burden in order illustrate the need of actions to alleviate this burden from the carers and also to describe some of these actions as they are suggested in National Action Plan for DementiaAlzheimer’s Disease. Method: The assessment of Dementia patients carers as well as Non Dementia elderly carers in various sites in Greece from urban and rural areas regarding their burden and quality of life using Zarit and SF-36 scales retrospectively as well as checking for various demographic data regarding these two groups Results: Overall 164 carers were assessed. Out of them 93 dementia cares and 71 non-dementia carers. Carers with patients suffering from dementia have a decrease quality of life p = 0,009. It was shown that the carers age for both groups was correlated significantly with increased burden and decreased quality of life p = ,002 and p = ,012 retrospectively. It was also shown that there is a greater burden for the male carers p = ,033 as well as greater decrease in quality of life if the patient with dementia was male p = ,002. Finally, there was statistically significant difference regarding residence. Elderly suffering from dementia is more likely to live in an urban environment p = ,003. Conclusion: Carvers burden is a complicated and multifactorial phenomenon. It seems that male gender of the patient, age of the carer and male gender of carer increase carers burden and decrease quality of life. It is also discussed in the paper that due to the fact that dementia care decreases quality of life for the carers and since carers themselves gradually are more stressed by patients care a number of measures to reduce these burden are proposed in the National Action Plan for Dementia-Alzheimer’s Disease. The most important of them are legislation changes, treatment protocols and guidelines in order for them to be more prepared to deal with the later stages of disease. Restructuring of the care home framework that will allow respite and short admissions for the patients as well as easy access for every one and also end of life units in order to support the patients and their carers at the end stages of the disease.
MicroRNAs: new biomarker for diagnosis, prognosis, therapy prediction and therapeutic tools for acute lymphoblastic leukemia

Back ground: MicroRNA (miRNA) was originally discovered in Caenorhabditis elegans by Victor Ambrose in 1993. It was predicted that miRNA account for 1-6% of the human genome and regulated at least 33% of protein-coding genes. Recently, 945 distinct miRNAs molecules have been identified within the human genome. It has been associated with the pathogenesis, progression and prognosis of different diseases, such as leukemia. MiR-181 family is one of those miRNA families, which generally expressed in 70 species and various human cancers.Objective: Assessment of mir-181a and LDH as promising co-biomarkers in order to provide additional information influence decisions about treatment sequentially to improve health outcomes of ALL in the Egyptian children.Patients and methods: This study was conducted on 100 children; 50 with ALL (38 males and 12 females) as ALL group. Other 50 healthy age and sex matched children were collected randomly as control group. Serum lactate dehydrogenase (LDH) and miRNA-181a were evaluated for all participants.Results: The results showed that there was a statistical significant difference between ALL and control groups regarding both molecular and biochemical indications of mir-181a and LDH were about almost five time as the control value, (P = 0.001). The ROC curve analysis revealed that the studied LDH and mir-181a markers were highly sensitive, highly specific and highly accurate test in the differentiation between the two studied ALL and control groups, with cutoff: ALL if mir-181a > 2.071, ALL if LDH > 0.307 respectively.Conclusion: MiRNA-181a and LDH can be used as co-biomarkers for ALL and might be beneficial in early diagnosis.
ROLE OF LAPAROSCOPY IN DIAGNOSIS AND MANAGEMENT OF CHRONIC ABDOMINAL PAIN

Chronic abdominal pain is a difficult complaint. It leads to evident suffering and disability, both physically and psychologically. Laparoscopy is one of the modalities that could be of benefit in such cases. We aim to evaluate the diagnostic and therapeutic value of laparoscopy in cases with chronic abdominal pain.As results, the most common site of pain was the right lower quadrant (50%). A definitive diagnosis was made in 45 patients (90%) while 5 patients (10%) had no obvious pathology. Appendiceal pathology were the most common laparoscopic findings (40.7%) followed by ovarian pathology (16.7%), and adhesions (14.8%). Postoperatively, pain relief was achieved in 47 patients (94%) after two months. Laparoscopy is an effective diagnostic and therapeutic modality in the management of patients with chronic abdominal pain.
UNDERSTANDING DETERMINANTS OF CLOUD COMPUTING ADOPTION USING AN INTEGRATED DIFFUSION OF INNOVATION (DOI)-TECHNOLOGICAL, ORGANIZATIONAL AND ENVIRONMENTAL (TOE) MODEL

Purpose of the study: This study aims to investigate the internal and external factors for CC adoption decisions of companies in Izmir, Turkey using a combination of DOI and TOE models. Methodology: This is a confirmatory survey of businesses, forming a questionnaire for 176 IT decision-makers of non-cloud or cloud user businesses in the city of Izmir in Turkey. SmartPLS 3.0 software is used to assess the determinants affecting cloud computing adoption. Main Findings: The study identified relative advantage, compatibility, complexity, and top management support, using security and privacy concerns and cost savings as mediating variables of relative advantage for CC adoption. The survey results indicated that complexity and top management supports are significantly important for efficient CC adoption. The model explained 41.2 percent of CC adoption. Applications of this study: The study is believed to be useful in fields including business development for most sectors, computing, cloud providers as well as researchers on business administration, sales, marketing, and IT infrastructure. Particularly this study and the suggested framework will help companies and businesses adopt CC appropriately. Moreover, as suggested in the study, governments can use such frameworks when encouraging cloud providers to support companies in their decision making and transition periods for CC adoption. Novelty/Originality of this study: This study will undoubtedly contribute to the decision making processes of the companies for CC adoption. Through the integrated in-depth analysis of the factors that affect the adoption decisions in an industrial region of Turkey, the study will also provide valuable data for the researchers and businesses within similar company personas.
A randomized control trial of hypothermia alert device in low birth weight newborns and the effect on kangaroo mother care and weight gain

Background: Lack of thermal protection is one of the major challenges faced by developing nations for newborn survival. Early detection and subsequent prevention of hypothermia through Kangaroo Care could lead to significant health outcomes for the newborn. Hypothermia alert device is a bracelet that monitors for early hypothermia by sensing the extremities and sounding an alarm for parents to take action. Methods: In a randomized controlled trial, the effect of the hypothermia alert device on KMC compliance at home and weight gain of newborns on 4th week follow-up was evaluated. New borns discharged from the neonatal intensive care unit at Indira Gandhi Institute of Child Health (IGICH). Neonates who were LBW (less than 2500 grams) were included in the study once they were stable and ready for discharge. Neonates were given a hypothermia alert device to monitor their temperatures for hypothermia for 4 weeks. Weekly follow-ups were held with parents and to record measurements of growth. Additionally, parents were given a KMC diary to track sessions of KMC. Neonates were given either a placebo bracelet or a BEMPU Bracelet. Bracelets were identical and both monitored for hypothermia, however only the BEMPU Bracelet gave an alarm when the newborn was hypothermic. Results: Statistically 44 neonates completed the 4-week trial; 23 were in the control group and 21 were in the BEMPU group; of these, 19 participants in the control group completed KMC diaries and 19 BEMPU group completed KMC diaries. The results of the clinical trial reveal that parents of neonates in the BEMPU group demonstrated better compliance to KMC. In the BEMPU group, the average daily time spent doing KMC was significantly higher in first (3.02 v 1.96 h, p=0.016) and fourth (3.04 v 2.38 h, p=0.094) week of discharge. There was an increase of weight gain in the BEMPU group after the first (25.7 v 20.7 g, p=0.1.85) and fourth (28.3 v 22.9 g, p=0.057) week of discharge. Conclusions: The hypothermia alert device was found to be an effective intervention to promote parent adherence to Kangaroo Care and weight gain.
Comparison of Aggression, Academic Failure and Maladjustment in Children of Families with High and Low Population. J. Life Sci. Biomed. 4(1):23-25.;

The purpose of the present study is making comparison of aggression, academic failure, and maladjustment between the children of big and small families. In this causal-comparative research, 60 families (30 big and 30 small families) were selected using purposive sampling technique. Research instrument included researcher-made questionnaire. The results from the study showed that aggression, academic failure, and maladjustment in children of big families were significantly greater.
APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED

In the present study, multilayer perceptron (MLP) based neural network, which is one of the efficient artificial neural network (ANN) was applied for modeling daily rainfall-runoff in a Himalayan watershed called Bino watershed in Almora and Pauri Garhwal districts of Uttarakhand, India using the time series monsoon data of ten years (2000-2009) of rainfall and runoff. Gamma test (GT) technique was applied for selection of the best input combinations. Performance of model developed was evaluated qualitatively as well as quantitatively using indices viz. correlation coefficient (r), root mean square error (RMSE) and coefficient of efficiency (CE). The results of the study showed that model (MLP7) with 5 inputs and one hidden layer with 8 neurons was found to be the best followed by model (MLP 19) having 10 hidden neurons for first hidden layer and 11 for second hidden layer. The r, RMSE and CE values for MLP 7 during testing were determined to be 0.9207, 0.9644 (mm) and 0.7974, respectively. The result of study revealed that ANN can be successfully applied for rainfall-runoff modeling in the study area with good accuracy.
Influence of Substrate Types and Mulch Application on Growth, Yield and Quality of Lettuce Plants (Lactuca sativa L.)

This experiment was carried out at screened greenhouse to investigate the effects of substrate types and mulch application on the growth, yield and quality of lettuce. Five types of substrate (sand, sand + husk, perlite, perlite + peat moss and peat moss) and two cultivation systems (compost mulch and un-mulch) were conducted on (Lactuca sativa cv. Iceberg) at Central Laboratory for Agricultural Climate (CLAC), during two autumn seasons 2015/2016 and 2016/2017. The treatments were set up in a split plot design with four replications. Results indicated that substrate types, mulch application and there interaction had a significant effects on vegetative growth parameters (plant height, number of leaves and fresh and dry weights of leaves), chemical components of leaves (N, P and K %) and yield and its components (head diameter, ascorbic acid and total yield). Moreover, sand + husk substrate increased almost all parameters compared to other substrate types. Applied compost mulch had greater parameters values compared to un-mulch treatment. I. I. Sadek*, Fatma S. Aboud, Fatma S. Moursy,
FORECASTING TB NOTIFICATIONS AT SILOBELA DISTRICT HOSPITAL, ZIMBABWE

This research employs monthly time series data on TB notifications at Silobela District Hospital (SDH) from January 2014 to December 2018; to forecast TB notifications using SARIMA models. Diagnostic tests indicate that the TB notifications series is I (0). Based on the AIC, the study presents the special SARIMA model, the SARMA (1, 0, 1)(0, 1, 1) 12 model. Diagnostic tests further reveal that this model is stable and hence suitable for forecasting the TB notifications at SDH. The chosen parsimonious model shows that TB notifications will generally decline over the out-of-sample period, but it remains worrisome to note that this anticipated decline in TB notifications will not be as fast as it should be. The main policy direction emanating from this study is that there should be serious intensification of TB surveillance and control programmes in Silobela district in to order to reduce TB incidences not only in the Silobela community but also in Zimbabwe at large.
Effect of Plant Maturity on the Antioxidant Profile of Amaranthus cruentus L. and Celosia Argentea L

Amaranthus cruentus L. and Celosia argentea L. were analyzed for antioxidant activities and antioxidant phenolic compounds at 3, 4, 5 and 6 weeks maturity. The results of the study showed that as A. cruentus matured from 3 weeks to 6 weeks after planting, antioxidant activities, total phenol and flavonoid concentrations increased. Antioxidant activities ranged from 40-74%, total phenol ranged between 2750-6330 mg/100 g while flavonoid was between 91-125 mg/100 g. Antioxidant activities, total phenol and flavonoid concentrations of C. argentea peaked at 5 weeks, after which there was reduction. Antioxidant activities was generally high in C. argentea (75-81%) while total phenol ranged between 9167 to 19344 mg/100 g. Antioxidant activities of C. argentea was higher than that of A. cruentus at 3 to 5 weeks of harvest but not significantly higher at 6 weeks. In terms of antioxidant profile, these vegetables are best consumed at 5-6 weeks of age.
Energy Consumption and Manufacturing Performance in Sub-Saharan Africa: Does Income Group Matter?

This paper investigates the link connecting energy consumption with Manufacturing performance by using panel data for sampled low-income SubSaharan Africa (SSA) and middle-income SSA during the period 1995–2013. The panel cointegration test provides evidence of cointegration among the variables for both the low-income and the middle-income group in SSA. The result of the Fully Modified Ordinary Least Square indicates that in the long run, increase in energy consumption leads to increase in manufacturing performance for both the sampled low-income and middle-income SSA countries. This implied that both the low-income and middle-income SSA countries are energy dependent countries. In this regard, this study shows that energy is a relevant factor in socio-economic development for both the low-income and the middle-income SSA countries. Thus, policies on energy that will ensure lower negative impact on manufacturing performance are recommended.