Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Design of Multi Agent Systems

— the multi agent systems are used in the cooperative negotiations in the consistent planning. Inthe case of real time systems are cooperating temporal restrictions specified by interactionmandatory. A problem in agent called Tire Negotiator Agent. The organization model is built in the systems of single entity. Theagents make the decision of the internal constraints. Thestructures of the agent designs communication protocols are distribute entities between physical nodes. The artifacts obtained in the different models of the analysis activity. The main objectives of the design from high level points. The agent systems simulation the frame work of computational methodology. The multi agent systems are retyped into Egress analysis (or)MASS Egress.It frequently observed in social behavior in emergencies. It provides a good basic building complex software system. In The applications of multi agent systems are environment is an interesting of work line that can gives new solution to very complex and restrictive systems that are real time systems. The design of multi agent systems that based on the notations of interacting frames and framing. The design is developed by the artifacts obtained in different models of the analysis activity.
Green Synthesis Of Silver Nanoparticles And Its Antibacterial Activity

An ecofriendly method of obtaining spherical silver nanoparticles (AgNPs) has been synthesized, using Carica papaya fruit extract as reducing agent. The biomolecules present in the extract was responsible for reduction of Ag+ ions from AgNO3. The prepared nanoparticles were characterized by UV–visible spectroscopy (UV–vis), XRay Diffraction pattern (XRD), Transmission Electron Microscopy (TEM) and Energy dispersive spectroscopy (EDS) technique to identify the size and shape of nanoparticles. The prepared AgNPs were monodispersed, spherical in shape with the average particle size of 16 nm and shows surface plasmon resonance (SPR) peak around 429nm. The consequences of the antibacterial studies confirm the superior ability of prepared silver nanoparticles to inhibit the growth of bacteria.
Performance Evaluation of Modified Hough Transformation for Lane Detection

-among the various complex and challenging tasks of upcoming road vehicles, one is road detection or road boundaries detection. Many people die every year in roadway departure crashes caused by driver inattention in most of the cases. Lane detection systems are helpful in avoiding these accidents as safety is the major purpose of these systems. Such systems have the objective to detect the lane marks and to advise the driver in case the vehicle has a chance to depart from the lane. In this paper, after a brief overview of existing methods of lane detection and discovering their limitation of ineffective detection of curved roads, we present a novel lane colorization technique using modified hough transformation. The proposed technique can detect both the straight and curved roads very efficiently and enhance the results. Moreover, it also gives efficient results in sunny day, foggy day, and rainy day and at night time.
Clustering Methods for Categorical and Numerical Dataset: A Recent Survey

: - Clustering is unsupervised learning because it doesn’t use predefined category labels associated with data items. Clustering algorithms are engineered to find structure in the current data, not to categories future data. A clustering algorithm attempts to find natural groups of components (or data) based on some similarity. There are many clustering methods have been developed, each of which uses a different induction principle. Farley and Raftery suggest dividing the clustering methods into two main groups Hierarchical and partitioning methods. Han and Kamber (2001) suggest categorizing the methods into additional three main categories: density-based methods, model-based clustering and grid based methods. In this paper present the study of Hierarchical clustering methods.
ON THE ISSUE OF THE GENETIC STRUCTURE OF SPECIES FOUND IN THE RELIC COMMUNITIES OF CENTRAL RUSSIAN UPLAND SOUTHERN TERRITORIES

This paper performs a comparative analysis of population genetic structure concerning specially protected species of terrestrial mollusk Helicopsis striata Müller and the herbaceous plant Androsace kozo-poljanskii Ovsz. included in the relic communities of Central Russian Upland southern territories. A low level of allelic diversity and the small values of effective number are revealed, which confirm their vulnerable status. It was found that all studied species use different strategies for survival in fragmented landscape conditions.
An Efficient Way to Reduce Energy Consumption and Delay using Multilevel Priority Packet Scheduling for WSN

: Wireless device networks have extensive range of application like environmental watching, traffic analysis, plan of action systems and process watching. Developing packet planning algorithms in wireless device networks with efficiency will enhance the delivery of packets through wireless links. Packet planning will guarantee quality of service and improve transmission rate in wireless device networks. It’s the method accustomed chooses that packet to be serviceable or that to be born supported the priority like real time packet and non-real time packet. This paper deals with packet planning algorithms. Wireless device network contains a completely different packet planning strategy and each has their own advantage and disadvantage. This paper proposes a formula which is Energy aware and provides priority primarily based planning which also improve the performance of task scheduling schemes in terms of end to end delay and deadlock prevention.
CHARACTERIZATION OF CARBAPENEM RESISTANT ACINETOBACTER BAUMANNII ISOLATED IN A TERTIARY CARE HOSPITAL: EPIDEMIOLOGY AND TREATMENT OUTCOME

Objective: Carbapenem resistant Acinetobacter baumannii (CR- Ab ) has emerged as a major nosocomial pathogen, but optimal treatment regimens are unknown. Our objectives were to determine the epidemiology and outcome of CR- Ab infections at a tertiary care hospital. Methods: CR- Ab isolates were collected from January to April 2013. MICs were determined and isolates were subjected to screening for carbapenemase production by Modified Hodge test (MHT), metallo-β-lactamase (MBLs) by EDTA disk synergy test and AmpC β-lactamase by AmpC disk test. 15 isolates were subjected to PCR for detection of resistant genes, bla OXA-23 , bla VIM and bla NDM . Treatment outcomes of infections were evaluated. Results: 51 CR- Ab isolates from tracheal aspirate (21), blood (15); tissue/wound/drainage (13) and urine samples (2) were collected. Colistin appeared to be the most effective agent with 98% in vitro activity. MHT showed 98% positivity, MBLs production was detected in 94.1% isolates and 64.7% were positive for AmpC β-lactamase production. All 15 isolates carried bla OXA-23 and bla VIM , of these 3 also carried bla NDM gene. Colistin containing combinations were more commonly used (68.3%). Colistin-noncarbapenem combination showed improved clinical response compared to colistin-carbapenem combination against Acinetobacter isolates carrying bla OXA-23 and bla VIM . Conclusion: A stringent infection control practice along with antimicrobial stewardship is needed to prevent emergence of Acinetobacter carrying multiple carbapenemase genes along with bla NDM . Various colistin combinations are preferentially used to treat CR- Ab infections. Identification of antimicrobial combinations with proven in vitro activity that encompass local susceptibility patterns as well as molecular mechanisms of resistance is needed to provide better outcome. Keywords : Acinetobacter baumannii , Carbapenem resistance, Carbapenemases, Colistin combination, metallo-β-lactamase, NDM
International Journal of Advance Research in Computer Science and Management Studies

: Product reviews are valuable for upcoming buyers in helping them make decisions. To this end, different opinion mining techniques have been proposed, where judging a review sentence’s orientation (e.g. positive or negative) is one of their key challenges. Recently, deep learning has emerged as an effective means for solving sentiment classification problems. A neural network intrinsically learns a useful representation automatically without human efforts. However, the success of deep learning highly relies on the availability of large-scale training data. We propose a novel deep learning framework for product review sentiment classification which employs prevalently available ratings as weak supervision signals. The framework consists of two steps: (1) learning a high level representation (an embedding space) which captures the general sentiment distribution of sentences through rating information; (2) adding a classification layer on top of the embedding layer and use labeled sentences for supervised fine-tuning. We explore two kinds of low level network structure for modeling review sentences, namely, convolutional feature extractors and long short-term memory. To evaluate the proposed framework, we construct a dataset containing 1.1M weakly labeled review sentences and 11,754 labeled review sentences from Amazon. Experimental results show the efficacy of the proposed framework and its superiority over baselines.
RASPBERRY PI BASED GESTURE BASED EMAIL ACCESS AND VOICE COMMAND FOR BLIND AND DUMB

- In today’s world communication has become so easy due to integration of communication technologies with internet. But the blind people find difficult to use this technology because of they require visual sensitivity and in our country around 2.78% of peoples are not able to speak (dumb). Their communications with others are only using the motion of their hands and expressions. In order to overcome the complexity of the dumb and blind peoples this project has been proposed. This system is based on the motion sensor (accelerometer). Gesture based system is designed to provide the communication between dumb, deaf and blind people and their communication with the healthy person. Gesture used in this project is by using the data glove and it is based on the microcontroller. Data glove with inbuilt sensor is used to detect the movements of the hands and converts it into as voice output and generates email with predefined images and subject to the concern person.
Healing on Immunomodulatory Response of Herbomineral Formulation in Male Sprague Dawley Rats

A new proprietary herbomineral formulation was formulated, consisting of herbal root extract ashwagandha and minerals (zinc, magnesium, and selenium). The objective of this study was to evaluate the immunomodulatory effect of the Biofield Energy Healing (The Trivedi Effect ® ) Treatment on the test herbomineral formulation in male Sprague Dawley rats. The test formulation was divided into two parts; one was represented as control, while the other part was treated with the Biofield Energy Healing Treatment by eighteen renowned Biofield Energy Healers and defined as the Biofield Energy Treated formulation. Besides, one group of animals was also received Biofield Energy Treatment by same Biofield Energy Healers under similar conditions. The effect of the test formulation was monitored by an estimation of humoral immune response, delay type hypersensitivity, hematology, biochemistry, body weight, feed intake, relative organ weight, and histopathology in male Sprague Dawley rats. The primary antibody titre level was significantly increased by 36.36% in the Biofield Energy Treated formulation (G3); while decreased by 15.09% in the untreated test formulation (G4) compared to the disease control group (G2). The paw volume was significantly increased by 75% in the Biofield Energy Treated group per se at day -15 (G6) compared to the disease control. The level of red blood corpuscle (RBC) was significantly increased by 14.45% in the G6 group compared to the G2 group. The platelet count was significantly increased by 10.32% in the G3 group; while it was decreased by 5.71% in the G4 group compared with the G2 group. There was a significant elevation of serum phosphorus by 6.04% in the G3 group compared to the G2 group. The concentration of magnesium in serum was increased by 13.00% in the Biofield Energy Treated formulation (G3) compared to the disease control group (G2). The concentration of uric acid was significantly decreased by 8.05% in the Biofield Energy Treated formulation (G3) compared to the G2 group. Further, the change in body weight, feed consumption, organ to body weight ratio data, and histopathology examination did not suggest any statistical difference, which depicts that the Biofield Energy Treated test formulation was found to be safe. These data suggest that the Biofield Treated test formulation can be used for autoimmune and inflammatory diseases such as Rheumatoid arthritis, Alzheimer’s disease, Atherosclerosis, Dermatitis, Diverticulitis, Diabetes, etc. along with stress prevention and management and anti-aging by improving overall health. International Journal of Biomedical Science and Engineering 2017; 5(5): 53-62 54
Dynamic Control System Based On Context for Mobile Devices

: “To render the accurate information, at correct place in real period with custom-made setup and locality sensitiveness” is the inspiration for every location based information scheme. Android applications in mobile devices may often have access to susceptible data and resources on user device. “Location Based Services” can only provide services that give a data and information to person, wherever he might be through various android applications. To avoid the data misuse by malicious applications, an application may get privilege on the specific user location and thus a Context Based Access Control Mechanism (CBACM) is needed so that privileges can be established and revoked vigorously. A very interesting application include shadowing where immediate information is required to choose if the people being monitored are valid intimidation or an flawed object. The execution of CBACM differentiates between the narrowly located sub-areas within the distinct area. Android operating system is modified such that context based access restriction can be precise and imposed.
Establishment and Characterization of Vaginal Tissue Primary Culture: Feasibility of Cell Therapy for Mayer-Rokitansky-Kuster-Hauser Syndrome (MRKHS) Patient Treatment

Title: Establishment and Characterization of Vaginal Tissue Primary Culture: Feasibility of Cell Therapy Usage in MayerRokitansky-Kuster-Hauser Syndrome (MRKHS) Patient ́s Treatment. Background: The uterine and vaginal agenesis, MayerRokitansky-Küster-Hauser Syndrome (SMRKH), is a congenital malformation that implies in the impairment of sexual activity and reproductive life. The first line therapy is nonsurgical (dilatation method) but surgical methods may be necessary to create a functional neovagina. In the surgical procedure, various types of graft materials have been used to line the neovagina, and recently, alternative grafts have been studied to minimize adverse effects. Our aim was to establish vaginal primary cultures in order to prove the feasibility of cell therapy for the reconstruction of the vaginal lining. Methods and findings: Nine small biopsies were processed according to explant technique in order to isolate vaginal cells (VC). Different cell types were obtained, including fibroblast and epithelial cells, according to optical microscopy, flow cytometry and immunofluorescence assessment. These cells could not differentiate into mesenchymal lineages (adipogenic, chondrogenic and osteogenic) but are able to form tissue-like cell aggregates. The expression of telomeres and telomerase genes were similar to the endometrial fibroblast. Conclusion: We are able to obtain and characterize vaginaderived cells in primary cultures. The isolated cells seem to be good candidates to cell therapy usage in MRKHS as they have phenotypic and physiological characteristics suitable to the reconstruction of vaginal lining.
A STUDY OF EMOTIONAL INTELLIGENCE AND SELF-ESTEEM AMONG ADOLESCENT

The present study was made an attempt to find out find significant interaction between emotional intelligence and sex with self-esteem as dependent variable among adolescents.The researcher employed 250 samples stratified random sampling was used for selecting 250 samples for the present study. Self Esteem Inventory by Dr. Stanley Cooper smith and Emotional Intelligence Inventory by Dr.S. K MANGAL was used for collecting the data. The findings reveal that there is no significant interaction between emotional intelligence and sex among adolescent students with self esteem as the dependent variable.
Optimal Air Pollution Control Strategy Based on Particle Size Distribution

Air pollution prevention and control is one of the key factors for sustainable Environmental Management System. Among all air pollutants, particulate matter attracted considerable attention of researchers. Particles smaller than 10 μm (PM10) & 2.5 μm (PM2.5) are associated with a range of respiratory and cardiovascular diseases. Overall collection efficiency of each one of the air pollution control devices depends on particle size distribution (PSD) of inlet stream. Existing air pollution control strategies does not consider PSD of particulate matter emitted into atmosphere and its impact on the environment. In the present work a Mixed Integer Non Linear model has been presented for selection of optimal air pollution control strategy. Collection efficiency of control equipments based on PSD has been considered. The Optimization model presented minimizes total cost of air pollution control strategy including economical and environmental cost meeting prescribed emission norms. The efficacy of the model has been successfully evaluated using a case study of typical process plant. The model presented can be used for selection of optimal emission norms with minimum social cost
Large Unilocular Radiolucent Lesions of the Jaws: A Pathologist’s Enigma and a Surgeon’s Conundrum

Unilocular radiolucent lesions of the jaws, in particular, those which cause extensive destruction and hollowing out of the bone, are a major cause for concern, both, with regards to their correct diagnosis, as well as a timely institution of the most appropriate treatment procedure. A relatively aggressive lesion with considerable invasive and recurrence potential, such as an Odontogenic tumor may radiologically and sometimes even histopathologically masquerade as a seemingly innocuous pathology such as an Odontogenic cyst. It is imperative to precisely diagnose and completely eliminate the lesion, while at the same time, ensure least possible morbidity for the patient, such as pathological fractures, persisting neurological deficits, esthetic deformity, functional debility, and of course, recurrence or persistence of the lesion. Histopathological examination supplemented by Immunohistochemical analysis of biopsy specimens, using Tumor Markers such as Calretinin and Prognostic Indicators such as Ki-67 and Proliferating Cell Nuclear Antigen (PCNA), have proved invaluable in correctly distinguishing between Odontogenic cysts and tumors and indicating their likely prognosis, thereby aiding in their correct management.
Design Role In Prevent & Overcome Obesity Prevelance

In last decade, the main concern for the world in general was about public health. Efforts were focused on controlling a spread of diseases as health costs have become the biggest single expenditure in all societies according to world health organization. The effort in controlling diseases were in providing clean water, improving the infrastructure, distribution of vaccines, improving the indoor air quality (IAQ), little was mentioned about obesity and its relation to many chronic diseases afterwards such as heart disease, blood pressure, sugar etc., these diseases can be moderated by incorporating and adapting physical activity in people's lifestyle. Previous studies showed that obesity is a result of unhealthy diet, physical inactivity, food price, income inequality, and change of life style without mentioning the role of built environment. Therefore, this research will discuss the correlation between the built environment and obesity (see figure 1). KeywordsObesity, overweight, physical activity, active design, BMI, WHO. www.ijraset. com Volume 3 Issue XII, December 2015 IC Value: 13.98 ISSN: 2321-9653 International Journal for Research in Applied Science & Engineering Technology (IJRASET) ©IJRASET 2015: All Rights are Reserved 374 Fig.1: Obesity reasons & effects
Literature Review on a Unified Approach for Mining in Lossless Representaion of Closed Itemsets

Data mining, often called as Knowledge discovery in databases (KDD), aims at the discovery of useful information from large collections of data. To achieve high efficiency for the mining task and provide a concise mining result to users, we propose a novel framework in this paper for mining closed+ high utility itemsets (CHUIs), which serves as a compact and lossless representation of HUIs. We propose three efficient algorithms named AprioriCH (Apriori-based algorithm for mining High utility Closed + itemsets), AprioriHC-D (AprioriHC algorithm with Discarding unpromising and isolated items) and CHUD (Closed+ High Utility Itemset Discovery) to find this representation. Further, a method called DAHU (Derive All High Utility Itemsets) is proposed to recover all HUIs from the set of CHUIs without accessing the original database. Keywords— Frequent itemset, closed+ high utility itemset, lossless and concise representation, utility mining, data
Workplace conflicts and psychological work-related injuries: our experience in Italy

In Europe, all countries regularly recognise mental disorders as workplace accidents (mainly post-traumatic stress disorders). However, there has been little emphasis on this emerging issue in Italy. Our discussion focuses on a recent case report regarding an employee who was a affected by an acute anxiety disorder after a common workplace conflict with a coworker. Given that prolonged and unresolved relationship conflicts may result in more extreme forms of conflict known as workplace bullying, relationship conflicts should be minimised or prevented as early as possible. These conflicts can also lead to acute stress disorders, particularly in workers who are at-risk for stress disorders. To prevent psychological work-related injuries, occupational stakeholders should use assessments for work-related stress as a framework for addressing all organisational risk factors that are related to workplace relationships and conflict. Language: en