Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTI-INFLAMMATORY ACTIVITY AND BRINE SHRIMP BIOASSAY OF ALEURITOPTERIS ANCEPS

The main objective of current study was to find out the presence of anti-inflammatory activity and perform brine shrimp bioassay in the methanol extract of Aleuritopteris anceps (Ranisinka). The plant was collected from Kathmandu and Lalitpur district about 1300 meter altitude in months June to July. The plant was subjected to hexane, ethyl acetate and methanol extraction by maceration process. Previous studies on qualitative analysis revealed that different extract of the fern offered diverse phytochemical compounds such as alkaloids, saponins, glycosides, terpenoids, tannins, carbohydrates and phenols. This plant also possesses different biological activity such as antioxidant, antimicrobial sensitivity test and anti-diabetic activity. The methanol extract of fern showed mild cytotoxic activity with LC50 50.118 μg/ml. There was dose dependent anti-inflammatory activity shows by 200mg/kg and 400 mg/kg concentration of methanol extract comparing with standard drug Indomethacin after 5 hour of egg albumin induce paw edema. The percentage of anti-inflammatory activity of 200mg/kg was found 24.31% 400mg/kg extract showed 26.18% where as standard Indomethacin showed 31.79%. Thus Aleuritopteris anceps showed significant anti-inflammatory activity.
FUNCTIONAL AND NON-FUNCTIONAL QoS AWARE WEB SERVICE DISCOVERY

: Web services are becoming widespread nowadays. Determining the desired Web services is becoming an emergent and challenging research problem in many of the enterprise business applications. In this paper, we propose a Web service discovering approach which compares functional similarities to users’ queries, and non-functional QoS characteristics of Web services to obtain normalized result based on Qos metrics. Services are searched based on keywords and user preferences. The similarity computation will be designed to improve the functional accuracy of searching result. Finally, the integration of both functional and non-functional evaluation component will lead to quality information of Web services and user will be provided with appropriate services.
Design, fabrication of Powder Compaction Die and Sintered behavior of Copper Matrix Hybrid Composite

1,3B. Tech. Student, Department of Mechanical Engineering, Sri Vasavi Engineering College, Tadepalligudem, West Godavari district, AP, India. 2Professor and HoD, Department of Mechanical Engineering, Sri Venkateswara Institute of Sciences and Information Technology, Tadepalligudem. 4Associate Professor, Department of Mechanical Engineering, Sri Vasavi Engineering College, Tadepalligudem. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – An extensive research is being carried out to invent new materials to meet various requirements with respect to materials. Composite material is one such option that which can be explored and utilized in Manufacturing, aerospace, defence, automobile sectors. Therefore, in this research work a powder compaction die is designed and fabricated through WEDM process and synthesized Copper4 wt% TiC3 wt% Graphite matrix composite was reinforced with different percentages of SiC (3, 6 and 9 wt %) through blending, followed by compaction and sintering. Hardness and compressive strength results were carried out for those specimens and finally concluded that the hardness of the specimens increased with increase in SiC weight percentage in the composition and 6 wt% SiC shows the high compressive strength among remaining compositions. This copper matrix hybrid composite have extensive applications in manufacturing of bushes and bearings, heat transfer conductors, high conductivity electrical contactors and so on.
Fabric Drape Prediction Using Artificial Neural Networks and Finite Element Method

— In this paper the mechanical behavior of woven materials is investigated in order to study and predict their dynamic draping. This model can simulate fabric deformation, taking into account its physical and mechanical properties. Once the model is tested and validated, an artificial neural network designed to train fabric drape is coupled with the finite element model to predict the drape behavior of various fabrics. The designed artificial neural network predicts physical and mechanical properties of the fabric from its technical parameters (design parameters). The predicted properties are used as inputs for finite element model that simulates and calculates parameters related to the fabric drape. The process is repeated until the difference between the actual drape and the simulated one becomes smaller than a limit value.
REVIEW ON UNIVERSAL VERIFICATION METHODOLOGY (UVM) CONCEPTS FOR FUNCTIONAL VERIFICATION

-The main goal of functional verification in hardware design is to find out the bugs in design description given by design engineers and to check the functionality of design whether the output matches with desired value or not and then customize the design to get the desired functionality of DUT. Various verification techniques have been developed from past few years to make the verification process much easier and user friendly. This paper presents a recent approach to using UVM, the Universal Verification Methodology, for functional verification by mainstream users. The goal is to identify a minimal set of concepts sufficient for constrained random coverage-driven verification in order to ease the learning experience for engineers coming from a hardware design background who do not have extensive object-oriented programming skills. We describe coding guidelines to address the canonical structure of UVM component and transaction, the construction of the UVM component hierarchy, the interface with the design-under-test, the use of sequences, and the use of the factory and configuration mechanisms. We also provide some key factors which allowed the user to migrate from OVM to UVM for verification purpose.
Analysis and Detection of Botnets and Encrypted Tunnels

A botnet is a collection of compromised systems. A botnet has a bot-master which identifies the vulnerable systems and compromises them by injecting a malware code and remotely controls all these compromised systems using Command-and-Control Infrastructure. These compromised systems are bots. Thus, a botnet is a network of bots. These bots receive commands from bot-master to perform various malicious activities like Distributed Denial of Service (DDoS) attack, phishing, sending spam emails etc. Nowadays, Botnets have become a major threat to online ecosystems. Thus, Analysis and detection of the botnets has become a major research topic in recent years. Nowadays, botnets are relying on anonymous networks to hide their existence. Anonymous communication implies that no one will be able to retrieve the identity of the users in the network. The Tor browser is the most widely used anonymous network among botnets. The Tor aims to eliminate the mapping between user and services or servers by hiding the user’s IP address and thereby blocks the user identification and communication tracking. The Tor browser provides anonymity to all of its users. Botnets are now using tor anonymity due to which they hide themselves and it becomes difficult to detect them. The proxy servers are also used to hide the identity of the users. Browsing using Proxy server changes the IP-address of its user due to which backtracking is difficult and it becomes extremely difficult to detect if a chain of proxies is used. This paper aims to identify several ways to reveal the identities of the bots and their bot-master that are using tor or any other anonymous network.
In vitro Antifungal Activity of The Orange Jasmine (Murraya paniculata [L.] Jack. ) Leaves Ethanol Extract From Indonesia Against Candida albicans

Candida albicans can cause infections that range from superficial infections of the skin to lifethreatening systemic infections. The use of antifungal drugs in the therapy of fungal diseases can lead to the development of antifungal resistance. The availability of natural materials can be used as a source of traditional medicine that can answer the challenge of fungal resistance. Empirically, Orange jasmine (Murraya paniculata [L.] Jack.) leaves have been used to treat vaginal discharge caused by C. albicans. Therefore, this research study was aimed to evaluate the antifungal activity of orange Jasmine leaves extract against C. albicans in vitro. The research methods included: extraction, phytochemical screening, antifungal activity test and determination of minimum inhibitory concentration (MIC). The simplisia of Orange jasmine leaves was extracted using a maceration method. The phytochemical screening was conducted using standard method. Antifungal activity was tested using the agar diffusion method. The extract concentrations used in the antifungal activity test were 20%, 40%, 60%, and 80% w/v with metronidazole in concentration of 40% w/v as comparative agent. Furthermore, the MIC test was done by a macrodilution method and following by subculturing the overnight result on to the surface of agar media to determine the minimum fungicidal concentration. The results showed that the ethanol extract of orange jasmine leaves had antibacterial activity against C. albicans with MIC/MFC ranged at 0,3125-0,625 %w/v.
Physicians' and Nurses' Evaluation of a Pharmacist-Managed Heparin Protocol Service

A total of 60 physicians and 90 nurses in a 300-bed, non-teaching, community-based hospital were surveyed to determine their attitudes and impressions of pharmacists' management of an inpatient, intravenous, unfractionated heparin dosing and monitoring service. Written questionnaires were used to gather their opinions of: (1) the value of having pharmacists provide the heparin protocol service, (2) the effectiveness of having pharmacists provide therapeutic management of thromboembolic disorders, and (3) the effectiveness of communications with pharmacists. Survey response rates were 82% and 53% for nurses and physicians, respectively. For all three service aspects evaluated, responses from nurses were significantly higher (p < 0.05) than physicians. Data from this study strongly support pharmacist-provided therapeutic management of thromboembolic disorders and show that nurses and physicians place a high value on pharmaceutical care services.
Composition, in Vitro Antioxidant and Antileishmanial activities of Vitex agnus-castus L. and Thymus syriacus Boiss. Essential Oils

The essential oils represent valuable sources for active molecules against Leishmania infections and natural antioxidant. In this present study, essential oils from fruits of Syrian Vitex agnus-castus L. (VAC), and leaves of Thymus syriacus Boiss. (TS) were analyzed by gas chromatography-mass spectrometry. The main constituents found in VAC essential oil were 1,8-Cineole (14.25%) and Sabinene (11.54%), while the major constituents in TS essential oil were thymol (40.61%) and p-Cymene (20.40%). The antioxidant activity of the essential oils were determined by their scavenging effect on 2.2-diphenyl-1picrylhydrazyl and total phenolic contents. The result showed that antioxidant activity of TS essential oil was higher than the antioxidant activity of VAC essential oil. Finally, the biological activity, of both VAC and TS essential oils, against L. tropica were determined using 3-(4.5-dimethylthiazol-2-yl)-2.5-diphenyl tetrazolium bromide, and The IC50 values were 211.62 μg/ml and 101. 08μg/ml, respectively. Therefore, further work is needed to identify the compound(s) responsible for the effects of VAC and TS essential oils and their correlation with in vivo studies.
AN ENHANCEMENT TOWARDS THE SECURITY OF AODV ROUTING PROTOCOL IN MANET

— Mobile Ad-hoc Network (MANET) is an infrastructure less network of mobile nodes. Because of the increased number of budget friendly, modest and more powerful devices MANET became a fastest growing network. As it does not have a centralized administration mechanism and the network is open shared medium any node can enter or leave the network at any time. This is the main vulnerability in MANET which leads to many security attacks. The previous approaches for the security of MANET couldn't completely prevent the problem. Many researchers had developed many algorithms, but none of them made a decent trade off between the security and performance. In this paper, we enhance the AODV protocol to minimize the attacks and hence the error packets. The proposed method uses NMAC(nested message authentication code) along with the sequence number of the node to minimize the attacks. In this method we detect sinkhole attack and minimize the rate of error packets by observing the highest sequence number. This paper shows performance metrics as the average packets sent, packets lost and the overall error rate.
Review and Classification of Heat Treatment Procedures of Niti Instruments and Its Implication on Files Fatigue

The nickel–titanium alloys used in root canal treatment contain approximately 56% (wt) nickel and 44% (wt) titanium. The two unique features of relevance to clinical dentistry are termed shape memory (SM) and super-elasticity (SE). Those properties are attributed to the reversible, stress-induced martensitic transformation driven by stress and influenced by the temperature. Changes in the transformation behavior, via heat treatment, have been used to reorganize the crystallographic structure of the alloy to enhance their properties. The literature concerning the influence of heat treatment on mechanical properties of NiTi alloy has been analyzed using selected criteria. A closer look at multiple patents was important to understand the effects of heating on crystalline microstructure and phase transformation properties. Consequently, a classification of three generations is proposed according to microstructural composition and heating process. The main advantage gained by heat treatment process is the increase of Af (Austenite finish) temperature of the alloy. If “Af” is superior to body temperature, the file will be in a mixed martensitic, R-phase and austenitic structure in intracanal temperature. Therefore, heat treated instruments showed a significant increase in flexibility and flexural fatigue resistance. Only few reports describe the mechanical behavior under torsional loads. Interestingly, modifications in crystalline structure seem to have an influence on angle of deflection and torque load, which are two determinant parameters of torsional fracture. An analysis of the different effects of heat treatment on Niti instruments is presented, thus enabling an easier understanding of mechanical properties of new thermo mechanically
Entanglement by Anisotropic Metamaterial

By using the Green-function approach to the quantization of the electromagnetic field, the procrustean distillation for quantum entanglement by the anisotropic magnetodielectric metamaterial has been proposed. We study the distillation of the non-maximally entangled pure states by a single layer of the anisotropic magnetodielectric metamaterial. The Clauser– Horne–Shimony–Holt parameter S for the entangled pure state has been calculated theoretically. It is shown that near the resonant peak of transmission for the y-polarized photon, the parameter S for the output states get the maximal value. Near the resonant peak of the transmission for the x-polarized photon, the entanglement of the output state is lower than the input state. For the frequency far from the resonant peak, the entanglement of the output state is dependent on the input state. Finally we find that the maximally entangled output is always appearing near the resonant frequency of the transmission for the y-polarized photon, no matter how low the entanglement of the input state is. This means that our method to realize the quantum distillation is effective.
Role of protease inhibitors in Insulin therapy of Diabetes : are these beneficial ?

For the treatment of diabetes, currently available insulin replenishment is the most successful therapy which improves insulin receptor sensitivity, reduces glucotoxicity and lipotoxicity. However, insulin injection therapy has disadvantages such as pain, inconvenience of multiple injections, allergic reactions, hyper-insulinemia, and insulin lipodystrophy at injection site. Non-invasive delivery of insulin would eliminate side effects, compliance problems to treatment adherence and other complications associated with insulin injection therapy such as pain caused by injection, psychological barriers associated with multiple daily injections such as needle anxiety and possible infections. Several approaches have been developed to improve bioavailability of insulin, such as use of protease inhibitors to prevent enzymatic degradation of insulin, enhancement of membrane permeability or widening of tight junctions to improve absorption of insulin, and development of novel insulin carriers. Protease inhibitors such as aprotinin, bacitracin and camostat are known to improve insulin absorption and bioavailability as evident by several experimental and clinical studies. However, these are not approved for use in combination with insulin to treat diabetes. This may be due to the adverse effects associated with use of protease inhibitors as well as lack of sufficient clinical data. Moreover, there are reports which indicate that there is no clear-cut benefit of protease inhibitors when these were used in combination with insulin to treat the diabetes. This review article mainly focuses on role of different protease inhibitors to improve therapeutic usefulness of insulin. Moreover, the risks or adverse effect associated with protease inhibitors have been discussed.
Distributed Routing Simulation for Generic Network-on-Chip Topologies

— Networks-on-Chip (NoC) is recently proposed as an alternative to the on-chip bus to meet the increasing requirement of complex communication needs in Systems-on-Chip (SoC). Most researchers advocate the use of traditional regular networks like meshes as architectural templates which gained a high popularity in general-purpose parallel computing. However, most SoC platforms are special-purpose tailored to the domain-specific requirements of their application. They are usually built from a large diversity of heterogeneous components which communicate in a very specific, mostly irregular way. In such systems the size and nature of cores may vary quite widely making the topology irregular. Moreover regular topologies can become irregular due to faults in links and switches. In such scenario topology agnostic routing algorithms are generally required. In this paper, we have analyzed the performance and applicability distributed table based routing for irregular NoC on an Network-on-Chip simulation framework.
A Complete Processing Chain for Shadow Detection and Reconstruction in VHR Images

— Building information of automated update in maps from high-resolution aerial imagery is one of the most important and challenging researches in the field of remote sensing and photogrammetric. Up-to-date building information is needed for many practical applications such as GIS application analysis, city planning, fixed assets inventory, etc. Urban land used to focused on building extraction and height estimation from space borne optical imagery and study. The merits of such methods is a GIS databases for decision makers, 3D visualization of urban areas, and digital urban mapping. In particular, for efficient building extraction from optical multi-angular imagery, first essential to eliminate the presence of shadows in very high resolution (VHR) images, because shadow in VHR can represent a serious obstacle for their full exploitation. This paper proposes to face this problem as a whole through the proposal of a complete processing chain for Shadow Detection and Reconstruction in VHR images. After, a template matching algorithm is formulated for automatic relative height and estimation of the relative building height are utilized in conjunction with a support vector machine (SVM)-based classifier for extraction of non-buildings from buildings. The final results are presented as a building mapand an approximate 3Dimentional model of buildings extraction. The building detection accuracy of the proposed method is improved to 88%, compared to 83% without using multi-angular information
What Factors Make for a Positive or Negative Clinical Learning Experience? Exploring the Perceptions of Postgraduate Medical Trainees

Objectives: The clinical learning environment plays a critical role in medical education. In order to maximize the success of clinical placements, much research has sought to identify features of ideal educational environments; however, the quality of a trainees’ clinical learning experience can vary substantially, both across and within a given educational context. The aim of this study assess what assess factors that influence positive or negative learning experiences among postgraduate medical trainees. Methods: This mixed methods cross-section study distributed an electronic survey of residents in postgraduate years 2 to 5 in a large Canadian academic teaching centre. The qualitative portion of the survey included several open-ended questions asking residents to recall and describe specific clinical learning experiences that were either positive or negative. The quantitative section included two close-ended questions, whereby residents identified up to 5 factors from a list of characteristics identified from the literature to be impactful for resident learning. Results: Of a potential 682 residents, 71 (10%) responded. Content analysis of responses produced seven themes: organization, educational aspects, qualities of supervisor and staff, interpersonal team dynamics, self-worth, level of responsibility and balance between support and autonomy. Themes transcended both positive and negative experiences and aligned with quantitative factors identified by participants. Conclusions: This study adds to the existing literature around factors influencing resident perceptions of positive and negative learning experiences by providing a narrative description of the context behind these appraisals.
I've Got Rhythm

: Music is everywhere in the world, and its applications are extremely versatile. In order to create some music for background music, it is necessary to engage sound recordists and instrumental artist. However, this process is very time -consuming and costly. We introduce I’ve got Rhythm, a system which will be capable to automatically chooses chords to accompany a vocal melody or a vocal voice. A user with no musical background can create a song with instrumental music accompaniment just by singing into a microphone, and can try with different styles and chord patterns by using an interactions designed to be intuitive to non -musicians. We describe the implementation of I’ve got Rhythm, which trains a Markov Model chain using a music database and uses that mod el to select chords for melodies.
Analysis of Lossy Video Compression Technique

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Video compression techniques, there has been vast research over the years on design of codecs for the digital videos. This paper gives the study of various parameters (parameters like block size, motion estimation scheme, slow medium and fast motion videos, high and medium compressed videos and with or without scaling of DCT coefficients) of video processing. After these study, best parameters that can be used for an efficient codec is described.