Miracle-dz/UniFAR-FTUs huggingface dataset:
UV VISIBLE SPECTROSCOPIC ANALYSIS OF GREEN SYNTHESIZED SILVER NANO PARTICLES

Green synthesis of AgNPs was carried out using Cardiospermum halicacabum leaves extract. Here plant extract plays dual role in biosynthesis as reducing as well as stabilizing agent. The mechanism of the reaction involves the reduction of aqueous metal ion in the presence of plant extract. The formation of AgNPs was confirmed by the visible colour change from colourless to brownish yellow colour with the addition of plant extract to silver nitrate solution. Further, it was quantitatively monitored by UV-Visible spectroscopic studies. It can be clearly seen that after 5 min, there was a change in the surface plasmon resonance (SPR) absorption of wavelength in the range of 400-500 nm. It can also be observed that, the intensity of the peak was gradually increases with increasing AgNO3 concentration, indicating the reduction of Ag to Ag. This is due to the formation of AgNPs with the progress of the reaction because the intensity of the SPR is directly proportional to the density of the nanoparticles presented in that solution. It showed a distinct SPR band around 430 nm, indicating the formation of the AgNPs. The formation of AgNPs was confirmed by the UV Visible spectra. The dispersions of silver nanoparticles display intense colours due to the plasmon resonance absorption. The surface of a metal is like plasma, having free electrons in the conduction band and positively charged nuclei. Surface plasmon resonance (SPR) is a collective excitation of the electrons in the conduction band; near the surface of the nanoparticles. Electrons are limited to specific vibrations modes by the particle’s size and shape. Therefore, metallic nanoparticles have characteristic optical absorption spectrums in the UV-Visible region.
SSD Real-Time Illegal Parking Detection Based on Contextual Information Transmission

: With the improvement of the national economic level, the number of vehicles is still increasing year by year. According to the statistics of National Bureau of Statics, the number is approximately up to 327 million in China by the end of 2018, which makes urban traffic pressure continues to rise so that the negative impact of urban traffic order is growing. Illegal parking-the common problem in the field of transportation security is urgent to be solved and traditional methods to address it are mainly based on ground loop and manual supervision, which may miss detection and cost much manpower. Due to the rapidly developing deep learning sweeping the world in recent years, object detection methods relying on background segmentation cannot meet the requirements of complex and various scenes on speed and precision. Thus, an improved Single Shot MultiBox Detector (SSD) based on deep learning is proposed in our study, we introduce attention mechanism by spatial transformer module which gives neural networks the ability to actively spatially transform feature maps and add contextual information transmission in specified layer. Finally, we found out the best connection layer in the detection model by repeated experiments especially for small objects and increased the precision by 1.5% than the baseline SSD without extra training cost. Meanwhile, we designed an illegal parking vehicle detection method by the improved SSD, reaching a high precision up to 97.3% and achieving a speed of 40FPS, superior to most of vehicle detection methods, will make contributions to relieving the negative impact of illegal parking.
The relationship of Long-term Television Watching to Overweight and Anxiety Problems on Iranian Primary Students

Background: Television has become an important part of the children's world. They spend much of their time on watching television. Television has some positive and negative effects on children's health. Materials and Methods: This research as a correlation study reviews the relationship between long-term TV watching to overweight and anxiety problems among primary students. Our subjects were 50 (boy) students in grades of fourth and fifth at a primary. The students completed Spielberger State-Trait Anxiety Inventory (STAI) and a researcher-made questionnaire. Results: The results showed that there was a significant relationship between duration of watching TV and overweighting. Also there was a significant relationship between daily TV watching duration and anxiety. There was no significant relationship between daily time spent on TV watching and Trait-anxiety. There was also a significant relationship between daily hours of watching TV and Stateanxiety. Conclusion: The study showed a direct correlation between time spent on TV watching and overweighting and anxiety related problems with primary students. Reducing times spent on TV could help prevent this health related conditions.
Emotion Recognition Based on Efficient Self Organized Map

- The face being the primary focus of attention in social interaction plays a major role in conveying identity and emotion. The emotion recognition system is a computer application for automatically identifying a person and its emotion from digital images or video frame from a video source. The proposed automatic facial expression recognition system can detect human face, extract facial features, and recognize facial emotions. The inputs to the proposed system are a sequence of images, still images or webcam images. An input of modified self-organizing map (SOM) is a facial geometric feature including eye, lip and eyebrow feature points. This system is very efficient in recognizing six basic emotions.
Developing a Puzzle using the Mixed Reality Technology for the Elderly with Mild Cognitive Impairment

Background/Objectives: As the number of elderly people around the world increases, urgent need to understand and find ways to cope with their problems arises. In particular, older people with mild cognitive impairment need a way to prevent or reduce it because of the high probability of dementia. Methods/Statistical analysis: The puzzle program is well-suited as a cognitive learning tool that is interesting and motivating to the user. Several studies have shown that puzzle activities have a positive effect on mental-health promotion and cognitive-function improvement in the elderly. There is growing empirical evidence that virtual reality (VR), augmented reality (AR) and mixed reality (MR) are valuable for education, training, entertainment and medical rehabilitation because of their capacity to represent real-life events and situations. In this study, an attempt was made to combine the puzzle program with the mixing technique to maximize brain activity in the elderly. Findings: Several studies have demonstrated the cognitive enhancement effect of the puzzle and the brain activation effect of the 3D image. Based on this, the responses of the elderly in terms of usability, ease of learning, and interest when using MR mixed puzzles were investigated. It received higher score than the conventional 2D puzzle in terms of ease of learning and interest, and it was rated higher than puzzles made only with VR technology in terms of ease of use. Overall, the combination of puzzles and the MR technology for use as a cognitive function improvement tool for the elderly seems to have a positive effect. Improvements/Applications: If the puzzle varies in shape and difficulty, the boredom of running the same puzzle multiple times can be reduced for users. If this kind of puzzle is operated in the elderly welfare field, elderly-related institutions, hospitals or the family, the elderly can use it easily and voluntarily, thereby preventing mild cognitive impairment.
GENETIC POLYMORPHISM OF GSTT1 AND SUSCEPTIBILITY TO LYMPHOID LEUKEMIAS

Background: Glutathione S-transferase (GST) enzymes that play a key role in detoxification of activated carcinogens are shown to be one of the potential modifiers of individualized risk for several cancer types. Objective: This purpose of this study was to investigate the frequency of the GSTT1 null genotype in lymphoid leukemia (ALL and CLL) in sudan. Materials and Methods: The study was conducted among 30 patients with chronic lymphocytic leukemia among both gender at different ages and 30 patient with acute lymphoctic leukemia and 60 apparently healthy control subjects. complete blood count were performed by an automated cell analyzer. The GSTT1 nul genotype was determined using polymerase chain reaction (PCR) method. Results: The GSTT1 null polymorphism in patients with acute lymphoid leukemia was detected in 20 of patient (67%) 10 of them were male and 10 were females with insignificant, The GSTT1 null polymorphism was detected in 22 of control (23%), The GSTT1 null polymorphism in patients with chronic lymphocytic leukemia was detected in 16 of patients (53%). 13 of them male and 3 of them female, but the difference was statistically significant (OR=3.5 for both ALL and CLL, 95% CI= 1.8-4.2, P= 0.015) Conclusion: Our finding suggests that heritable GSTT1 status may influence the risk of developing CLL and ALL.
ENVIRONMENTAL SCANNING AND ORGANISATIONAL PERFORMANCE IN UNILEVER

The objective of the study is to evaluate the effect of environmental scanning on organisational performance in Unilever Nigeria plc Ikeja, Lagos. This paper extends previous studies on effect of environmental scanning to organisational performance by measuring non-financial performance of Unilever Nigeria plc, Lagos in a single integrative construct. However data were collected from both primary and secondary sources. The study adopts a survey research design and data were collected through a structured questionnaire from a sample size of 227 and also from the company’s annual report from the period of 2012 to2016. The demographic data collected were analysed using frequency distribution and percentages. The findings revealed that internal environmental analyses affects consumer satisfaction and hence have a positive correlation as shown by the regression co-efficient (r)= . 493, also it revealed that internal environmental analysis have significant impact on product quality and a positive correlation or relationship exist as it is revealed by the regression co-efficient (r)= . 612 and the last hypothesis also revealed that relationship exist between external environmental analysis and profitability as shown by the regression co-efficient (r) = 0.914782. Based on this, the study concludes that environmental scanning has impact on non-financial orgnaisational performance and however, it is recommended that organisation should continuously, periodically scan and monitor the trends and changes in consumer satisfaction and incorporate changes in taste and preferences of consumers to reflect product quality as it may constitute opportunity and threats to the organisation.
Fettlebererkrankung bei Kindern und Jugendlichen

Zusammenfassung Die nicht-alkoholbedingte Fettlebererkrankung (NAFL) ist selbst bei Kindern und Jugendlichen eine der häufigsten chronischen Lebererkrankungen in den westlichen Industriestaaten. NAFL ist assoziiert mit Übergewicht, kardiovaskulären Erkrankungen oder Typ-2-Diabetes. Die Kombination von Risikofaktoren, wie z.B. Übergewicht, ungünstige Ernährungsgewohnheiten, Umweltfaktoren und genetische Prädisposition, führt zur Entwicklung einer einfachen Steatose im Kindes- und Jugendalter, die sich im weiteren Verlauf zur Steatohepatitis, Leberfibrose und Zirrhose entwickeln kann. Als wichtigste Voraussetzung, um eine NAFL im Kindes- und Jugendalter festzustellen, muss diese Diagnose überhaupt in Betracht gezogen werden. Erste Hinweise geben dabei erhöhte Alanin-Aminotransferase-Spiegel und eine generalisierte Echogenitätsanhebung in der Leberultraschalluntersuchung. Die histologische Begutachtung einer Leberbiopsie stellt den Goldstandard der NAFL-Diagnostik dar. Die Therapie sollte in Abhängigkeit von weiteren Komorbiditäten des Patienten, wie z.B. Hyperlipidämie oder Insulinresistenz individuell abgestimmt werden, um Spätfolgen im Erwachsenenalter möglichst früh entgegenzuwirken.
Sentiment Analysis of Google Reviews of a College

: Sentiment analysis is one of the key challenges for mining online and offline user generated content. This paper focuses the reviews of college which are an important form of opinionated contents. The objective of this work is to classify every sentence’s semantic orientation (e.g. positive, negative and neutral) of the reviews. This paper presents a weakly-supervised embedding model to learn the weak labels for college reviews sentiment analysis. This paper introduce the max entropy method to investigate the problem of incorporating sentiment prior knowledge to learn weak label meaningful word embeddings for sentiment analysis using R tool.
The Role of Modern Management in Preventing Deformities in Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic inflammatory joint disease that affects 1 percent of the population [1]. The common clinical manifestation is the symmetrical polyarthritis involving the small joints of the hands, wrists, elbows, shoulders and knees [1]. Untreated, then the patients could have complications of rheumatoid arthritis which include deformities, interstitial lung diseases and cardiovascular disease [2].
Knowledge representation with SOA

This paper addresses the problem of supporting the software development process through the artificial intelligence. The expert systems could advise the Domain Engineer in programming without the detailed experience in programming languages. He will use and integrate, with the help of deductive database and domain knowledge, the previously developed software components to new complex functionalities. The objective of this document is to provide the knowledge representation about atomic Web Services which will be registered as the facts in the deductive database. The author proposes to use the decision rules in decision tables for representing the service model which consists of semantic specification, interface description, service quality (QoS), non-functional properties. Also the use of Domain Specific Languages (DSL) for modeling Domain Engineer’s re-quests to the expert system will be considered within this document. As the illustrative use case for described knowledge representation the author proposes the domain of SOA-based geographic information systems (GIS) which represent a new branch of information and communication technologies.
Detection Of Structural Damages In Bridge Based On ZigBee Networks Using Sensors

Monitoring the damages in the bridge is an increasing concern for the benefit of public . The major challenge is to ensure that the condition of the civil infrastructure bridge is capable of can withstanding the cumulative weight of all the vehicles that travel in the bridge. In this framework, the ZigBee protocol is used for monitoring the bridges damages that exist in civil infrastructure, these damages are identified by using three types of sensors namely flex, load cell and vibration sensor. The load cell is used to find the capacity of bridge. The flex and vibration sensor is used to identify the internal and external damages . If damage is detected via ZigBee communication the damage detection is informed to the Base Station.
X-ray Analysis for Purification Process of Synthesized Multi-Walled Carbon Nanotubes by Chemical Vapor Deposition

In this work we report method that can be used for the purification of multiwall carbon nanotubes (MWNT) obtained by the CVD chemical vapor deposition method. The purification of multiwall carbon nanotubes are required in order to eliminate by-product that represent by the metal catalyst and unconverted carbon such as amorphous carbon. The purification of the sample was carried out by treatment with three steps ultrasonic water bath and separation funnel with ethanol, hydrogen peroxide, and then reflux with nitric acid. Later, we have reported method for purification synthesized MWNTs by reflux with nitric acid only to show the effect of the first two steps. The results show that treatment the sample with three steps were succeed to increase the purities of carbon nanotubes more than the method that depend on reflux. The samples were analyzed using, powder X-Ray diffraction (XRD) and measuring surface area. The results has discussed as compare with standard MWNTs from Aldrich.
Design Considerations of UWB Gaussian pulse for Channel Estimation

— Ultra-wideband (UWB) communication techniques have attracted a great interest in both academia and industry in the past few years for applications in short-range wireless mobile systems. This is due to the potential advantages of UWB transmissions such as low power, high rate, immunity to multipath propagation, less complex transceiver hardware, and low interference. In this paper we review commonly used Gaussian pulses and its derivatives and the influence of shape factor, finding its statistics of each derivative and to obtain possible better pulse shapes for channel estimation.
Improved Metrics for Scheduling in Cloud Computing

- Cloud Computing is the newly emerging distributed systems. One of the most complex issues in the cloud computing environment is the problem of resource allocation. This paper introduces a new scheduling algorithm in cloud computing based on existing algorithm min min and max min. The experimental results show that the proposed algorithm performs better than existing algorithms in different scenarios in cloud computing than other distributed environment.
IMPLEMENTATION OF INTRUSION TOLERANT ARCHITECTURE FOR WEB SERVER

This paper presents implementation of intrusion-tolerant architecture for Web servers. Now a day, more and more information systems are connected to the Internet and offer Web interfaces to the general public or to a restricted set of users. Sucopenness makes them likely targets for intruders, and conventional protection techniques have been shown insufficient to prevent all intrusions in such open systems. To prevent these attacks we use intrusion-tolerant architecture for Web servers. This is based on redundancy and diversification principles in order to increase the system resilience to attacks. Usually an attack targets particular software, running on a particular platform, and fails on others. it is composed of redundant proxies that mediate client requests to a redundant bank of diversified application server. And it provides same service by taking example of Tourist management system. And it also checks the server security using MD5 hash algorithm.
Study of Factor Affecting the Perception of Consumer Towards Nutrition Labeling on Product Like Cookies/Biscuits

Nutritional labeling is found to affect the consumer purchase behavior significantly. Nutritional labeling are based on different dietary targets for various nutrients than the labels on specific foods. Nutritional labeling has become of increasing interest to both consumers and policy makers. This study tries to identify the factors affecting the perception of consumer towards nutrition labeled product like cookies/biscuits. Exploratory research is being undertaken among respondents belonging to different age groups, gender, educational qualification, city and income groups. A sample size of 200 respondents is being considered for the study. Non-probabilistic judgmental sampling is the technique used for sampling. Structured questionnaire has been used to collect the required data for the study which includes a combination of open-ended and closed-ended questions. Factor Analysis is applied in order to identify the factors responsible for the perception of consumer towards nutrition labeling of products like cookies etc. four factors are identified as ‘Lifestyle based purchase decisions’, ‘Investment of Time and Money’, ‘Information Related to nutrition labeling’ and ‘Knowledge related to nutrition labeling’.
Taking Urgent Actions to Combat Climate Change Impacts

Climate change will have important effects on development, poverty mitigation and reaching the millennium development objectives (specific objectives could be economic conditions (Stocker, 2014)). Some hard-fought improvements made to achieve these global objectives can reduce or even invert climate change threats to water, agricultural production, nutrition, food security, and public health Fitchett et al. [1]. Countries and districts that fail to adjust to climate change will cause global insecurity by dispersing disease, conflicts over supplies, and destruction of the economic systems Eisenack et al. [2].
FACTORS AFFECTING POSTPARTUM DEPRESSION AMONG WOMEN OF THE UAE AND OMAN

Objective : Is to evaluate factors related to the development of postpartum depression among an United Arab Emirates and Omani societies. Methods : The study was prospective, observational, and descriptive using a self-reporting questionnaire. Arab women in the UAE who had recently delivered within two months were eligible for inclusion in the study whether they had a vaginal or caesarean delivery. Results : The study included forty Emirati and Omani participants with Omani women being the majority (65%). Around 55% of the participants confessed low motherhood satisfaction, twenty-five (62%) residing in a city and had the baby in a local hospital, twenty-one (52.5%) of the newborns were boys. Many factors associated with an increased likelihood of PPD have been established in this study such as diet, exercise, colicky baby, financial constrains and many other factors which all show some association with PPD, Fifteen (37.5%) of the questioned women preferred artificial sweeteners during pregnancy, ten of them had a cesarean delivery. Statistical analysis revealed that twenty-five (62.5%) had a cesarean delivery, twenty-two of them complained of postpartum anxiety ( p-value = 0.009, significant difference is present between anxious women who had vaginal childbirth and cesarean delivery). Conclusion : PPD is a serious condition which merits thorough investigation and better understanding among families, friends, patients and healthcare providers. It is recommended that health authorities and institutions to arrange for public campaigns about this silent disease.
Hypnotherapy and Relaxation Intervention on Anxiety and Depression Level of Hiv/Aids Patients

Globally HIV/AIDS raised as a biggest health problem. Normally only pharmacological techniques are using for controlling HIV/AIDS symptoms. But some alternative techniques are also available which can control major psychological symptoms like anxiety and depression in HIV/AIDS patients. Present meta analysis emphasis effect of those alternative techniques hypnotherapy and Jacobson progressive muscular relaxation on anxiety and depression. The combined model of pharmacology and alternative techniques could be more useful than single technique model.
Emulation of Snort on Deter Testbed

: In the present era Internet has changed the normal way of performing the essential services such as banking, defense, trade, and marketing being operated. These operations of our day to day life are replaced by cheaper, more effect Internet based applications. It happens all because of the growth of the internet but with advancement the number of attacks on these services is increasing day by day. During internet design the more emphasis is on its functionality rather than the security due to which so many loop holes are generated in the internet. The possible way to detect those loop holes and then protects the system from the attack. The Intrusion Detection System is one type of guard which protect our network from attacking the by detecting the reason or way by which attack is performed. To configure the Intrusion Detection system we required a system and to test an Intrusion Detection System we required a complete setup lab or a network of computers. DETER EMULAB is one kind of lab based on emulation which provides us facility for performing the experiment related to the network security. In this paper we present our ongoing work of deployment and operation of an Intrusion Detection System Snort (which sniffs the packets and check the possibility of attack on our system and alert us regarding the occurrence of attack) on DETER EMULAB node.