Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of Some New Annulated Pyranopyrazole Derivatives, a New Series of Herbicidal Substances and Some Related Compounds

In this study we aimed to synthesis the substituted pyranopyrazole and oxinobispyrazole derivatives having biological activity as herbicidal activity. The bifunctional pyrano-pyrazole derivatives were prepared by the reaction of some active methylene compounds, namely malononitrile, cyanoacetic acid, ethylacetoacetate, diethylmalonate, pyrazolone and cyanoacetamide with 3-formylchromone in the presence of ammonium acetate or piperidine, respectively. The structures of the new compounds were substantiated and characterized by means of their IR, H-NMR and mass spectra. The herbicidal activity against grass weeds and some of broad leaf weeds.
Evaluation of Visual Evoked Potential in Migraine Individuals

Background: Migraine is a multifactorial brain disorder characterized by recurrent disabling attacks of a headache. The migraine patients have visual disturbances during the attack as well as during the interictal period. In addition, even between attacks some aspects of cortical dysfunction are peculiar in migraineurs. Aim: This study aims for knowing the pathogenesis of migraine in between attacks that lead to migraine disorder. Materials and Methods: The study was conducted by evaluating the visual evoked potential of 30 migraine patients during the headache-free period and compared with 30 normal persons. The results were interpreted and statistically analyzed. Results: There was statistically significant increase in amplitude of P100 wave of the migraine patients due to deficient habituation after a period of 15 min stimulation. In normal subjects, there was a decrease in amplitude of P100 wave due to the effect of habituation. The deficient habituation can be due to decreased serotonin levels leading to reduced pre-activation of the cortex. Conclusion: The migraine patients has attributed to abnormal cortical processing in migraine with interictal hyperactivity leading to heightened responsiveness and lack of habituation and lack of intracortical inhibition.
GTCM Based Skin Lesion Melanoma Disease Detection Approach for Optimal Classification of Medical Images

: The medical image classification plays vital role in the detection of various diseases. Number of approaches available for the detection of skin lesion melanoma but suffers to achieve higher performance. Towards this issue, a GTCM (Gray-Texture-Covariance-measure) based melanoma detection approach is presented in this paper. The method reads the input skin image and enhances by applying multi level gray filters. From the enhanced image, the method extracts gray features and texture features. The texture features of the lesion have been extracted based on the gray covariance matrix generated. Extracted features has been converted into GTC matrix and based on the values of GTC, the method estimates the GTCM measure towards the available training set. Finally based on the similarity of GTCM, the method estimates the GTC lesion strength to perform detection of melanoma. The method improves the performance of melanoma detection and reduces the false classification ratio.
Data Security in Cloud Computing using Encryption and Steganography

--Cloud Computing is a technology that readily makes available resources that otherwise may require huge amount of investment. Besides, it increases the availability of resources since anyone can access the data using web. But this advantage comes at a cost. Firstly, the data is uploaded unsecurely which has a high risk of being hacked by some malicious people. Secondly, the data saved at remote servers is under the surveillance of unknown people who can do anything with our data. So, these data security risks are causing a hindrance in the development of the field of cloud computing. Thus, this paper has designed a scheme that can help, solve this issue.
A Framework for Personal Computer Hardware Fault Diagnosis and Maintenance

: Computer hardware fault is the basic reason for several computer system faults in the industries. To address this problem, this study attempts to design a framework for personal computer hardware fault diagnosis. The required knowledge is acquired from domain experts, previous solved computer hardware fault cases and other relevant documents through semi-structured interview and document analysis. The domain experts are selected from university of Gondar ICT support staff and lab technicians by using purposive sampling, and then the cases are organized in attribute-values dimension and converted to plain text file for building case base. Attributes are represented using the CBR developmental tool, jCOLIBRI framework for implementing the four “ Re ’ s ” (Retrieve, Reuse, Revise and Retain) of CBR application tasks. The performance of the prototype system is evaluated using precision and recall and user acceptance (satisfaction) techniques. Thus, the system has a recall of 79% and precision of 74% performance. Moreover, the system achieves 88% user acceptance by domain experts.
ANTIMICROBIAL ACTIVITY OF MEDICINAL PLANTS AND THE BIOLOGICAL EFFECTS OF SELECTED PLANTS ON STAPHYLOCOCCUS AUREUS

Several natural products especially secondary metabolites have formed the basis of medicines, although it’s been often difficult to justify the presence of these compounds in the biochemistry of plant; this as posited by Cragg et al., in their presentation on Ethnobotany and the Search for New Drugs, Ciba Foundation Symposium draws a challenge to scientists. It has been suggested that these compounds may have been synthesized by the plants as part of the defense system of the plant; a good example is that plants are known to produce phytoalexins as a response to attack by bacteria and fungi. Cragg and Newmann in Biodiversity: A continuing source or novel drug leads, support this though stating that the compound produced provides an invaluable resource that has been used to find new drug molecules This paper is set to identify the antimicrobial activity of these medicinal plants and their biological effects. The sampled out plant extracts include Thymus vulgaris, Berberis vulgaris and Calluna vulgaris with which inhibition or activation by different chemical catalysts is performed to establish their effects in the tested natural extracts. Experimental design is used where the reagents are determined and chemical reactions performed in the procedures as outlined in the methodology section. The results of the microbial activity based on the level of concentration is then recorded for every crude extracts and the effects of each with different antibiotics against Staphylococcus aureus. This study reflects that berberine showed excellent synergistic activity against Staphylococcus aureus at relatively low concentration and thus can be used against staphylococcus infections.
Internet Routing With Lightweight Route Attestation

The Internet routing system plays an essential role of gluing together tens of thousands of individual networks to create a global data delivery substrate. Over the years many efforts have been devoted to securing the routing system, the weak trust model in Border Gateway Protocol (BGP) introduces severe vulnerabilities for Internet routing including active malicious attacks and unintended misconfigurations. Although various secure BGP solutions have been proposed, the complexity of security enforcement and data-plane attacks still remain open problems. We propose TBGP, a trusted BGP scheme aiming to achieve high authenticity of Internet routing with a simple and lightweight attestation mechanism. TBGP introduces a set of route update and withdrawal rules that, if correctly enforced by each router, can guarantee the authenticity and integrity of route information that is announced to other routers in the Internet. To verify this enforcement, an attestation service running on each router provides interfaces for a neighbouring router to challenge the integrity of its routing stack, enforced rules, and the attestation service itself. If this attestation succeeds, the neighbouring router updates its routing table or announces the route to its neighbours, following the same rules. Thus, a router on a routing path only needs to verify one neighbour’s routing status to ensure that the route information is valid. Through this, TBGP builds a transitive trust relationship among all routers on a routing path. We implement a prototype of TBGP to investigate its practicality.
Comparative Analysis of Energy Detection and Cyclostationary Feature Detection using Simulink

: - Nearly 79 to 89 percent of the radio spectrum is not utilized at any instant of time, while on the other hand some regions of spectrum suffer from congestion simultaneously. A cognitive radio is an intelligent radio that can recognize the idle frequencies as well named as spectral holes or white spaces (which are not being used by any primary or licensed user) and allot them for the use of unlicensed secondary users. The basic functionality of a cognitive radio is aware of it environment, internal state, and location, which automatically to adjust to parameters (e.g. determine the RF environment, channel conditions, link performance) to achieve desired objective in response to the unexpected changes in the characteristics. Basic function of cognitive radio is to sense the spectrum precisely by evading any chances of hindrance or interference to primary or licensed users. By using spectrum sensing, cognitive radios can adapt themselves to the eternal wireless network. Spectrum sensing can be performed by many techniques. In our present work we have compared energy detection and cyclostationary feature detection technique for spectrum sensing with their merits and demerits on Simulink tool. Simulink is basically a data flow graphical programming language tool for modeling, simulating and analyzing a system or a model. Presently we have used Simulink for modeling different spectrum sensing (SS) models and results plotted on graph.
Incidence of Staphylococcus aureus Mastitis in Cows of Faizabad and Sultanpur Districts of Eastern Plain Zone of Uttar Pradesh

Mastitis (inflammation of mammary gland) is one of the most devastating disease conditions leading to significant economic losses globally (Kumar et al., 2010; AbdEllah, 2013) because of reduced milk production, treatment costs, increased labor, milk with holding following treatment, death and premature culling (Miller et al., 1993; Szweda et al., 2014). Due to multiple etiologies, it always remained a challenge to veterinarian worldwide. Approximately, 140 species of microorganisms have been identified as etiological agents of bovine mastitis. Of these various etiological agents, Staphylococcus aureus is a major pathogen associated with bovine clinical and subclinical mastitis (Piepers et al., 2007; Tenhagen et al., 2009; Bhatt et al., 2011; Cervinkova et al., 2013). The mastitis caused by S. aureus is characterized by significantly lower cure rates compared with infections caused by other microorganisms, which may be either as a result of unusually frequent acquisition of antibiotic resistance mechanisms among this group of bacteria or also their ability to form biofilm (slime) (Cramton et al., 1999).
Enhanced Hexagon with Early Termination Algorithm for Motion estimation

: To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. One of the ME techniques, known as Block Matching Algorithm (BMA), has been widely used in various video coding standards. In recent years, many of these BMAs have been developed with similar intention of reducing the computational costs while at the same time maintaining the video signal quality. Here, an algorithm called Enhanced Hexagon with Early Termination Algorithm is proposed with either Small Cross Search Pattern (SCSP) or X-Shaped Pattern (XSP) in the initial step. This is implemented in MATLAB and is tested with different standard video sequences. Experimental results show that the proposed XSP based algorithm is better than Enhanced Hexagonal Search (EHS) in terms of average number of search points and computational complexity.
A New Approach to Behavioral Reasoning in Smart Homes using DVSM Algorithm

Smart Homes (SH) have gradually visible as realistic assistive environments capable of providing assistive living for the elderly and the disabled people.The machine learning and the sensing technology are implemented in the smart homes. The technologies are designed to recognize and track normal activities of people in routine life. The labeled training data are available for activities that are preselected. A computerized access is used to Behavior tracking that analyze frequent activities. We can then track the reliability of continuous behavioral activities to observe the functional health and to make changes in an individual’s sequence and resident’s lifestyle. In this work, we discuss about the Behavior mining and tracking approach, and validate our HMM and the DVSM algorithms based on the data collected in physical smart environments.
Research on Coordination Strategy of Low Carbon Supply Chain with Emission Limits

This paper considers a supply chain system, which is composed of a product manufacturer and a supplier who is in the supply chain and is in the upper reaches of the supply chain. Based on the game model of the supply chain, the coordination strategy of low carbon supply chain is discussed. Finally, the data is verified.
FORMULATION AND INVITRO EVALUATION OF STOMACH SPECIFIC FLOATING MICROSPHERES OF ACELCLOFENAC

: The aim of the present work is to study the effect of polymer characteristics on the drug release from hydrogels which were prepared using different polymers (Sodium alginate, Sodium CMC, HPMC K100 and Carbopol) by Ionotropic gelation method. The main objective of the research work is to study the drug and polymer interaction. The formulated hydrogels were characterized for their physico-chemical parameters like swelling ratio, water uptake, gel fraction, percentage yield, drug content, drug entrapment efficiency and size analysis. FTIR studies reveal the drug excipients compatibility. In-vitro drug release studies revealed that the high % drug release for F9 was 98.9% up to 14hrs. Swelling ratio and water uptake by F9 formulation was 12.6± 0.05 and found to be good swelling ratio, high water absorbing ability and high % adherence (77%). Among all formulations, F9 showed controlled drug release up to 14 hrs and considered as ideal formulation.
Effect of watery juice of aloe vera and opuntia ficus leaves on gastric acid secretion and healing of acute gastric ulcer in rats

This study aimed to reveal the effect of oral administration of aloe vera and opuntia ficus watery juice on gastric acid secretion and healing of acute gastric ulcer in rats. The experiment was performed on 49 rats distributed into 7 equal groups. One group of rats was kept as a negative control while, the other 6 groups were orally given 10% aspirin solution (200 mg/Kg b.wt. ) on an empty stomach (fasting period of 18 hrs.) for induction of acute gastric ulcer. One group of rats with experimental gastric ulcer was kept as a positive control, while the other groups were orally given aloe vera, opuntia ficus and their combination as a watery juice daily for 2 weeks. At the end of experiment, all rats were sacrificed and volume, total acidity and pepsin concentration in the gastric juice were determined. Gastric ulcer indexes were calculated and the histopathology of stomachs was carried out. Results showed that oral administration of the watery juice of aloe vera in combination with opuntia ficus at 20 % for 2 weeks to rats with experimental ulcer caused significant antisecretory and anti-ulcer effects. The combined juice of both plants decreased volume and total acidity of the gastric juice and inhibited pepsin outflow. It also increased in curative ratio from gastric ulcer and ameliorated of histopathological lesions caused by aspirin. Therefore, intake aloe vera combined with opuntia ficus at 20 % for 2 weeks as a drink with a sweet substance may be useful in the management of gastric ulcer. The study recommends conducting this experiment on patients suffering from acute gastric ulcer. [Journal of American Science 2010;6(10):600-605]. (ISSN: 1545-1003).
Outcomes of a Pharmacist Managed Anticoagulation Service

Objective: Managing patients on warfarin within a therapeutic range is complex due to factors that affect warfarin dosing, making it necessary to monitor patients closely and adjust medication doses to ensure maximal efficacy and minimal adverse events. The objectives of this study were to evaluate the effectiveness and safety of managing patients on warfarin by clinical pharmacists and physicians. Design: The study was a retrospective chart review. Setting: This study took place at the Internal Medicine Faculty Associates ambulatory care clinic affiliated with Atlantic Health System, which services patients in northern New Jersey. Participants: Patients were included in the study if they were seen at the clinic and prescribed warfarinfrom 2012 – 2014. Patients were divided into a pharmacist-managed armand the usual care arm. Measurements: The primary endpoint wastime in therapeutic range (TTR), calculated based on the Rosendaal method. Results: A total of 122 patients were included in the final analysis with 53 patients in the pharmacist-managed arm and 69 patients in the usual care arm. The calculated TTR was 66% for the pharmacist-managed arm and 56.6% for the usual care arm (p = 0.028). The number of INR tests per patient year was 19.59 in the pharmacistmanaged arm compared to 15.04 in the usual care arm (p = 0.0113). The percent of patients who had at least one INR > 4 was 28% in the pharmacist-managed arm and 45% in the usual care arm (p = 0.06). Conclusion: Pharmacist-management of warfarin led to a higher average TTR without any differences in supratherapeutic INRs.
Incremental conductance (IncCond) algorithm for Maximum Power Operating Point (MPOP) of Photo-Voltaic (PV) power generation system

Solar power is considered as a very promising source for electric power generation. The abundance of sunlight over a large area of the earth surface gives rise to several applications of photovoltaic systems. Electricity can be generated from sunlight either by directly employing the photovoltaic effect, or by using energy from the sun to heat up a working fluid that can be used to power up electricity generators. These two technologies are widely used today to provide power to either standalone loads or for connection to the power system grid. As the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems changes with changing atmospheric conditions (e.g. solar radiation and temperature). An important consideration in the design of efficient PV systems is to track the MPOP correctly. Many maximum power tracking (MPT) techniques have been considered in the past but techniques using microprocessors with appropriate MPT algorithms are favored because of their flexibility and compatibility with different PV arrays. Although the efficiency of these MPT algorithmic usually high, it drops noticeably in cases of rapidly changing atmospheric conditions. The authors have developed a new MPT algorithm based on the fact that the MPOP of a PV generator can be tracked accurately by comparing the incremental and instantaneous conductance of the PV array. The work was carried out by simulation, with results showing that the developed incremental conductance (IncCond) algorithm has successfully tracked the MPOP, even in cases of rapidly changing atmospheric conditions, and has higher efficiency than ordinary algorithms in terms of total PV energy transferred to the load.
Biochemical Study to Thiosemicarbazone Derivatives

There have been tremendous development in the chemotherapy of cancer and researches are still developing new and more effective drugs to combat this disease. Thiosemicarbazides and thiosemicarbazone derivatives are important and useful compounds with diverse pharmacological properties.In the present study, we evaluated the in vitro cytotoxic activity of new thiosemicarbaz -ones derivatives[1-[(6acetyl pyridine-2-YL ethylidene) amino]-thiourea(3) and 2,4di -acetyl pyridinebis3thiosemicarbazone(4) against MCF-7 (human breast cancer), HePG2 (Hepatocellular carcinoma), HCT116 (human colon cancer), PC3 (human pro -state cancer). In order to find new drugs with anticancer activities prepared compounds were evaluated for their in vitro and in vivo anticancer activities. Thiosemicarbazones exhibited a significant anticancer activity towards MCF-7, HEPG2, HCT116 and PC3 cancer cell lines. Also, in vivo study of, [1-[(6acetyl pyridine-2-YL ethylidene) amino]-thiourea(3) and 2,4diacetyl pyridinebis3thiosemicarbazone(4)] compounds revealed a significant anticancer activity towards Ehrlich ascites carcinoma (EAC) cells by reduction of its volume to 65.5 % and 73.3% (p<0.001), in the treated groups; respectively. And significantly decrease in the cell count by 65.9% and 78.9%, in treated groups (p<0.001); resp -ectively, compared to the positive control group. It turned out that they reduced cell viability of cancer cells in a time and concentration dependent manner in vitro and in vivo studies. This review discusses current advances of an emerging ‘new wave’ of thiosemicarbazide/thiosemicarbazone as potent anticancer agents and toxicity caused by them.
Product Aspect Ranking and Its Applications Sentiment Analysis

— various shopper surveys of items are presently accessible on the Internet. Purchaser surveys contain rich and significant information for both firms and clients. Be that as it may, the audits are frequently disrupted, prompting challenges in data route and information procurement. This article proposes an item aspect positioning system, which naturally recognizes the essential aspects of items from online purchaser surveys, going for enhancing the ease of use of the various audits. The essential item aspects are recognized in light of two perceptions: 1) the vital aspects are typically remarked on by an extensive number of purchasers and 2) customer feelings on the essential aspects enormously impact their general conclusions on the item. Specifically, given the purchaser surveys of an item, we initially distinguish item aspects by a shallow reliance parser and decide buyer feelings on these aspects by means of an estimation classifier. We then build up a probabilistic aspect positioning calculation to deduce the significance of aspects by all the while considering aspect recurrence and the impact of customer suppositions given to every aspect over their general feelings. The trial comes about on a survey corpus of 21 prevalent items in eight spaces show the adequacy of the proposed approach. Also, we apply item aspect positioning to two certifiable applications, i.e., report level supposition grouping and extractive audit rundown, and accomplish huge execution upgrades, which show the limit of item aspect positioning in encouraging certifiable applications.