Miracle-dz/UniFAR-FTUs huggingface dataset:
Parental Perspectives of Children Born With Cleft Lip and/or Palate: A Qualitative Assessment of Concerns, Satisfaction, and Suggestions for Healthcare Improvements and Interventions

Cleft lip and/or palate is the fourth most common birth defect and requires a great deal of medical intervention from healthcare professionals. Little has been published describing parental experiences and satisfaction related to the care of their child born with a cleft. This study characterizes parental concerns and stresses during the first year of their children’s lives and clarifies what parents expect from the healthcare professionals who care for their children. Qualitative interviews were completed with seventeen parents of children under the age of one who were born with cleft lip and/or palate and who have been treated by members of a comprehensive craniofacial center at a Midwest pediatric hospital. Among the concerns and stressors that parents shared were the following: stress of surgeries before and after the procedure(s), difficulty with feeding, and the social and cosmetic implications for their child. All participants (100%) were satisfied with their children’s care. Interventions that parents identified as effective included repetition of information, showing pictures of other children (before and after surgery), and anticipatory guidance about surgeries and their children’s development. Despite the high level of satisfaction, parents expressed that they want healthcare professionals to use more written and visual information, to have more contact with other parents of children born with clefts, and would like healthcare professionals outside the Craniofacial Center to be more knowledgeable about cleft lip and/or palate. These recommended interventions need to be considered not only for families who have a child born with a cleft but also families who have children born with other birth defects.
CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES

- Cancer is one of the major problem today, diagnosing cancer in earlier stage is still challenging for doctors. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. Therefore a novel multi layered method combining clustering and decision tree technique is used to build a cancer risk prediction system. The proposed system is predicts lung, breast, oral, cervix, stomach and blood cancers and it is user friendly and cost saving. This research uses data mining techniques such as classification, clustering and prediction to identify potential cancer patients. We have proposed this cancer prediction system based on data mining techniques. This system estimates the risk of the breast cancer in the earlier stage. This system is validated by comparing its predicted results with patient’s prior medical information. The main aim of this model is to provide the earlier warning to the users and it is also cost efficient to the user. Finally a prediction system is developed to analyze risk levels which help in prognosis. This research helps in detection of a person’s predisposition for cancer before going for clinical and lab tests which is cost and time consuming .
A study on the gastroprotective effect of Andrographis paniculata and andrographolide in rats subjected to pylorus ligation

The study investigated the anti ulcer effect of Andrographis paniculata (AP) (Acanthacea) and andrographoide (AGL), a chief compound present in the leaves of AP in male albino Wistar rats. Rats pretreated with hydroalcoholic extract of Andrographis paniculata (HAEAP) (100, 200 and 500 mg/kg b.wt) or AGL (1, 3 and 5 mg/kg b. wt) orally for a period of 30 days were subjected to pylorus ligation (PL). We have found that HAEAP (200 mg/kg b.wt) or AGL (3 mg/kg b.wt) markedly decreased the incidence of ulcer. The test drugs were found to reduce the activities of pepsin, H+K+ATPase and myeloperoxidase when compared to PL rats without drug treatment. HAEAP or AGL was found to maintain the level of GSH, micin and enzymatic antioxidants. The results indicate that the gastroprotective activity of AP and AGL may probably due to its antisecretory and antioxidant property.
Role of silicon in counteracting abiotic and biotic plant stresses

Food security has been a major concern in India so to fulfil the nutritional needs of the people, numerous attempts are being made to defeat hunger. Since ages, the use of pesticides is thought of as an immediate solution to increase crop productivity but this strategy is leading to a drastic environmental stresses faced both by man and plants. So the need of the hour is to rely on eco-friendly approaches so as to be in harmony with nature. One of such approach is use of Silicon in our agricultural practices to combat various stresses as Silicon is continuously gaining serious attention since last few years due to its abundance and non-hazardous nature. Silicon nutrition is found to be helpful in abating many abiotic stresses including physical stresses such as drought, high temperature, flood, lodging, freezing, UVradiation and chemical stresses such as salt, metal toxicity and nutrient deficiency. In context of biotic stresses, Silicon provides resistance to plants against diseases either due to an accumulation of absorbed Silicon in the epidermal tissue, or expression of pathogenesis-induced host defence responses. A better molecular understanding of Si uptake in plants is important to maximize the benefits derived from Silicon fertilization.
The Role of Acute Phase Proteins in Induction of Tension of Nonspecific Resistance System in Various Clinical Phenotypes of Myasthenia

Introduction: All over the world autoimmune diseases and one of the classic examples of such diseases myasthenia gravis are on the rise. This progressing autoimmune disease characterized by pathological muscle weakness and increased fatigue. The literature describes the cause of myasthenia as production of autoantibodies to acetylcholine receptor subunits thereof. However myasthenia inherent immunological phenomena are not described in the literature, except the concentration of interleukins. Methods: All the 69 patients were examined and divided into 3 groups depending on the morphological damage of the thymus: a group of "myasthenia without morphological damage of the thymus" represented by 30 patients, a group of "myasthenia with hyperplasia of the thymus" represented 23 patients, a group of "myasthenia with thymoma" represented by 16 patients. We used these laboratory methods: microscopic determining phagocytic activity of granulocytic neutrophils; studying oxygen-dependent metabolism of neutrophil granulocytes (NBT-test); determining of C-reactive protein in blood serum; photometric determination of haptoglobin content (with rivanol); photometric determination of ceruloplasmin content by Ravin; nephelometric determination of concentration of C3 component of the complement.
Channel Estimation of MIMO OFDM System

— Wireless Communication Technology has developed many folds over the past few years. One of the techniques to enhance the data rates is called Multiple Input Multiple Output (MIMO) in which multiple antennas are employed both at the transmitter and the receiver. Multiple signals are transmitted from different antennas at the transmitter using the same frequency and separated in space. Various channel estimation techniques are employed in order to judge the physical effects of the medium present. In this project, we analyze and implement various estimation techniques for MIMO OFDM Systems such as Least Squares (LS), Minimum Mean Square Error (MMSE), Constant Modulus Algorithm (CMA) and linear Pre-coding. These techniques are therefore compared to effectively estimate the channel in MIMO OFDM Systems
Comparative Analysis of Graph Database Models using Classification and Clustering by using Weka Tool

-The limitation of traditional databases, in particular relational model, to cover the requirements of current applications have leaded the development of new database technologies. The graph databases are calling the attention of the database community because in trendy projects where the database is needed the extraction of worthy information relies the processing of graph-like structure of the data. In this paper we present the systematic comparison of Neo4j and Dex graph database models. This paper includes general features (for data storing and querying), data modeling features (i.e. data structures, query languages and integrity constraints) and the support for graph essential queries with comparison of different graph databases such as Neo4j and Dex graph database models.
An Efficient Logic Test Structure For Low Power Testing

-In this paper proposes a new single cycle access test structure for logic test. It will eliminates the unnecessary dynamic power consumption problem of conventional shift-based scan chains during switching transition in the scan FF and also reduces the accessing time into one clock cycles. This leads to more realistic circuit behavior during stuck-at and at-speed tests. It enables the complete test to run at much higher frequencies equal or close to the one in functional mode. It will be shown, within one clock cycle testing can be achieved compared to other published solutions we carried out testing with some published solutions on ISCAS’89 net lists. And finally we developed BIST in steganography design where initially we developed new algorithm with high embedding capacity and also undetectable by statistical analysis methods such as Regular-Singular (RS) and Chi-square analyses. Here we use LFSR as key module to overcome the security holes in the existing systems. In functional mode this LFSR module will be used for steganography application and in testing mode this will act as a random generator . The structure allows an additional on-chip debugging signal visibility for each register.
PREPROCESSING OF WEB USAGE DATA FOR LOG ANALYSIS

— Frequent interaction of users with the World Wide Web to access wide ranges of information and available services, it become necessary to handle web usage data in an efficient manner. Web usage mining incorporate data generated at both client side as well as server side. But generally web log preprocessing are meant for the data available at server that is actually generated by the clients when they made any request to the server. The knowledge retrieved from preprocessing can be used to make a comfortable environment to the frequently visiting customer. Preprocessing of web log data is one of the important activities that are required to make web log data in proper format and then can be used for further knowledge discovery process This paper comprehensively addresses the activities involved to preprocess the web log data stored at server side. Preprocessed data are then useful to generate intelligent knowledge to personalize the web user’s environment.
The Impact of Transformational Leadership on Employee Voice Behavior: The Role of Organizational Identification and Procedural Justice

Through a questionnaire survey of 363 employees and their direct leaders in china, this study analyzes the effect of transformational leadership on employee voice behavior and the mediating role of organizational identification and procedural justice on the moderating effect. The results show that: the transformational leadership has a positive effect on employee voice behavior; transformational leadership affects employee voice through the mediating effect of organizational identification of employees; the procedural justice positively regulates the impact of transformational leadership on subordinates’ organizational identification, the procedural justice is higher, the positive relationship between transformational leadership and employee organizational identification is stronger, and vice versa the weak; finally discusses the research theory significance and the application value.
HOLE DETECTION AND HEALING FOR A RoI IN WIRELESS SENSOR NETWORKS

: Sensor technology is one of the fast growing technologies in the current scenario. And it has wide range of application also. The ability of sensors to work without being monitored by any individual is its unique quality. Wireless sensor network comprise of small sensors which have minimum communicational and computational power. Several anomalies are present in WSNs. One such problem is a hole. Area devoid of any node can be referred to as a hole. This degrades the performance of the whole network. It affects the routing capability of the network very badly. The formation of holes in a WSN is unavoidable due to the inner nature of the network. This paper deals with detecting and healing such holes in an on demand basis.
The Mediating Role of Proactive Coping Strategy in the Relationship Between Procrastination and Job Burnout among High-School Teachers

The purpose of this research was to test a model for the mediating role of proactive coping strategy in the relationship between teacher's procrastination and job burnout. The sample of the current research consisted of 200 high-school teachers in Isfahan, Iran, who were selected by stratified random sampling method. The instruments which used in this study were The Proactive Coping Inventory (PCI), General Procrastination Scale and Maslach Burnout Inventory (MBI). Fitness of the proposed model was examined through structural equation modeling (SEM), using SPSS-22 and AMOS-22 software packages. The indirect effects were tested using the bootstrap procedure. Findings indicated that the proposed model fit the data properly. According to these results application of coping strategies from teachers can improve the quality of teacher's efficiency (reduced procrastination) and can lead to lower level of job burnout.
IN SILICO ANTIMICROBIAL ACTIVITY OF ACTIVE PHYTOCOMPOUNDS FROM THE LEAF EXTRACT OF VITEX NEGUNDO LINN. AGAINST GLUCOSAMINE 6 PHASPHATE SYNTHASE

Phytocompounds play an important role in the field of drug development. In recent years, a great significant attention has been drawn to phytocompounds due to their fewer side effects or without side effects in therapeutic. The main aim of the study is to identify the phytocompounds with antimicrobial properties from the ethanol leaf extract of Vitex negundo and also to find the inhibitors of Glucosamine 6 phosphate synthase enzyme through molecular docking. GCMS was performed for the ethanol leaf extract of Vitex negundo Linn. Various phytochemical compounds were identified through GCMS. These compounds were in silico screened against Glucosamine 6 phosphate synthase as a target protein for the antimicrobial activity through docking studies by using Schrödinger software. The docking results enhanced the activity of new phytocompounds as promising antimicrobial agents. The binding energy is evaluated through docking studies of the ligand with the target protein. The interactions of the phytocompound with the amino acid residues of the Glucosamine 6 phosphate synthase enzyme showed high affinity with in the active site binding pocket. These Phytochemical compounds have a high docking score and glide energy. Results of our study suggested that these phytochemical compounds can be considered as strong inhibitors for Glucosamine 6 phosphate synthase and possess potential medicinal values with anti-microbial properties.
Topologies of Voltage Source Inverter for Domestic Induction Heating

Nowadays Induction heating applications are quickly gaining popularity. Induction Heating technology not only offers the advantage of having a better efficiency conversion compared to the other standard technologies like resistive heating, Electric heating, Gas heating but also offers Induction heating offers the advantages of rapid heating, local pot heating, direct heating, high power density, high reliability, low running cost and non-acoustic noise. This Paper summarizes the different Voltage Source Inverters for Induction Heating technology with its development in Domestic IH applications and contains Voltage Source Inverter topologies like Basic voltage source inverter, Single switch VSI, Multi-output VSI for Domestic IH. Index Terms / KeywordsInduction Heating (IH), Electromagnetic Interference (EMI), Resonant Inverter, Voltage Source Inverter (VSI), Zero voltage switching (ZVS), Single Switch Resonant Inverter, Multi Output Voltage Source Inverter. ——————————  ——————————
MANUFACTURING LABS: WHERE NEW DIGITAL TECHNOLOGIES HELP IMPROVE LIFE QUALITY

The aim of this paper is to analyze where Do It Yourself (DIY) comes to life, investigating the economic reality of Italian Fabrication Laboratories, an international network of digital laboratories which provide a space with new technologies tools for digital manufacturing, identifying their role both towards consumers and businesses in the Industry 4.0 era, with the purpose of helping to improve the quality of life. Data from Italian Fab Labs were collected using a questionnaire survey; 27 Fab Labs participated to the survey. The results show that, while some laboratories are still in an embryonic phase, with no or very few registered users, others are in full activity reaching over 100 users. Italian laboratories are characterized by ample space available, but limited capacity for investment in machinery and technology. The role of Fab Labs in the Italian economic panorama could be double, and affect the consumer side, transforming consumers in “co-designers” of products, and on the other side, helping businesses designing and building prototypes to improve products ‘quality.
Minimize Service Interruptions and Power Consumption in Handoff

- In Wireless Access the terminal devices are usually highly mobile vehicles or transportation tools, which handoff much more frequently than those in wireless networks. However, the quality of network services like VoIP and multimedia streaming will be seriously influenced by too frequent handoff or too long handoff latency. Due to this reason traditional handoff mechanisms no longer satisfy the need of vehicular communications. At present, most existing fast handoff mechanisms are based on the signal strength of the APs, which does not suit vehicular communications fully. Generally speaking, the regional traffic in Vehicular Ad-hoc Networks (VANETs) keep changing and varying. This paper presents the Quality Scan scheme, an efficient pre-scanning method to improve the handoff performance in VANETs. With the attempt to reduce the handoff latency and maintain the load balance among the APs, our proposed scheme regularly collects the loading states of the nodes by the pre-established AP controller (APC), and predicts the network traffic of the next moment. Moreover, Mobile Nodes (MNs) can select the most suitable AP for the best QoS according to the parameters received by passive scanning, while more QoS parameters should participate in cooperation. The simulation result proves that our proposed scheme not only maintains the QoS and the load balance among the nodes, but also further enhances the handoff performance in VANETs.
A Fuzzy Behavioral Portfolio Model Based on Text Sentiment Analysis

— A Fuzzy Behavioral Portfolio model (FBPM) is proposed for security investment with insufficient market information and uncertain emotion influence on investment return and risk. Based on the general behavioral portfolio theory, trapezoidal fuzzy number is employed to characterize investment return and risk. Text emotion analysis based on emotional lexicons is introduced to obtain the market investment emotion and then adjust the investment value function to obtain the optimal portfolio solution of security. In the end, the back testing on Shanghai Composite Index, Shenzhen Component Index and Growth Enterprise Market Index implies the advantage of FBPM on both return and risk.
Environs Aware Broadcast Mechanism for Community Radio Service on an Ad hoc Device-to-Device Mobile Network

– Each device in a MANET (Mobile Ad Hoc Network) is free to move independently in any direction. The primary challenge in building a MANET is equipping each device to continuously maintain the information required to properly route traffic. Audio message send from one device to the entire network devices. Using static and dynamic topology. When the mobility is high using SBA (Scalable Broadcast Algorithm) and the mobility is low using MaBA (Memory aided Broadcast Algorithm) Using the above algorithm drawbacks are overhead and latency and packet loss . And this drawbacks are overcome using EABA (Environs Aware Broadcast Algorithm) Using this technique the node only decide to use either SBA or MaBA depending on network condition. The performance metrics are reachability and packet delivery ratio to be analyzed in EABA algorithm.
Implementation of Source Routing Protocol in Hierarchical Mobile Ad Hoc Networks

A mobile ad hoc network is characterized by constraints such as limited bandwidth, energy constraints, less memory and processing capabilities. Also MANET’s are required to be deployed under scalable conditions for some applications. A novel self-organizing hierarchical architecture is proposed for improving the scalability properties of ad-hoc wireless networks. This paper focuses on the evaluation of routing protocols applicable to this class of hierarchical ad-hoc networks. The performance of a hierarchical network with the popular Dynamic Source Routing (DSR) protocol is evaluated and compared with that of conventional flat ad-hoc networks using an NS-2 simulation model. The results for an example Mobile Ad hoc NETwork (MANET) scenario show significant capacity increases and reduction in control overhead with the hierarchical architecture. Simulation results using NS-2 show that our proposed scheme achieves good performance.
Top Down Approach for XML Keyword Query Processing using Disk based Index

— From the past many years there has been much scope in efficiently replying to the Extended Markup Language (XML) keyword queries. Limitations of the existing system can be listed as the common-ancestor-repetition (CAR) and visiting useless-nodes (VUN) issues. In order to solve the CAR problem, we hereby introduce a generic top-down strategy to answer a given keyword query. The meaning of this top-down method is that we will be visiting all the common ancestor (CA) nodes in approaches like depth-wise, left-to-right and by introducing generic approach it can be concluded that our implementation is not related to query semantics. So as to solve the issue of VUN, we implement to make use of child nodes, instead of descendant. We would be showing that for the purpose of faster document retrieval, the usage of tree is better than usage of array. Algorithms like LList based, Hash search based are performed for improved performance. We are using disk based index approach to reduce memory load. The advantage of the tree data structure over traditional array data structure is the searching process is more efficient and time saving.
A mathematical model of glucose-insulin interaction

In this paper, we present a mathematical model of diabetes mellitus, which is a metabolic disease concerned with the regulation process of glucose in the body by the pancreatic insulin. This paper considers the disappearance of glucose due to insulin action (insulin-dependent) as well as the disappearance of glucose due to tissue uptake such as the brain and nerve cells (insulinindependent) and rise in glucose level due to infusion through meal intake, oral glucose intake, continuous nutrition absorption and constant infusion. The linear and non-linear cases are considered and the model is analyzed using Lyapunov’s method. Conditions for local as well as global stability are obtained. Numerical simulations are carried out and graphs are also generated to indicate the role of insulin in the regulation process of glucose in the human body.