Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing the healing effect of Lotus Corniculatus Hydroethanolic Extract and phenytoin cream 1% on the rat’s skin wound: A Morphometrical and Histopathological Study

Aim: The aim of this study was to evaluate Lotus corniculatus L. hydro-ethanolic extract healing effect on skin wound in male rat compared with phenytoin cream 1%, and complementary histological study on the healing process in the understudy groups. Method: After induction of anesthesia in 80 male Wistar rats, using 2*1shablon and Surgical blade a full-thickness rectangular wound with an area of 2cm was made behind their head and the skin was removed. Male Wistar rats were divided into 8 groups of ten including; the control (A), phenytoin 1% (B), Lotus corniculatus hydroethanolic extract 10% (C), Lotus corniculatus hydroethanolic extract 20% (D), Lotus corniculatus hydroethanolic extract 40% (E), phenytoin cream1% + Lotus corniculatus hydroethanolic extract 10% (F), phenytoin cream1% + Lotus corniculatus hydroethanolic extract 20% (G) and phenytoin cream 1% + Lotus corniculatus hydroethanolic extract 40% (H). Wound measurement with digital image analysis and medication prescription was performed for 21 days. In microscopic studies, biopsy was performed from wound healing site on the days 3,7,14, and 21. Considering histopathologic factors healing outcome for all groups were determined. The results were analyzed using SPSS 18 software. Results: The results showed that based on treatment period; histometric findings, the mean of the healed wound area in groups H (phenytoin cream 1% + Lotus corniculatus hydroethanolic extract) and E (Lotus corniculatus hydroethanolic extract 40%) was lower than other groups (p<0.01). Also based on the histopathological results, the outcome of healing in these groups was better than the other groups. Conclusion: Considering the anti-inflammatory, anti-microbial and healing effects of Lotus corniculatus hydroethanolic extract compared with phenytoin cream 1%, it can be claimed that its components are more effective in the healing of full-thickness skin wounds.
STRUCTURIZATION OF CERAMICS BASED ON FUSIBLE CLAYS WITH THE ADDITION OF WASTES OF CHROMIA-ALUMINA CATALYST

In this work are represented results of research of impact of waste of chromia-alumina catalyst (hereinafter CAC) on ceramic samples structure formation. It is established that with increase of CAC dose from 1.5 to 12%, general quantity of pores decreases, structure became denser. Increasing of samples burning temperature from 960 to 1160 о C reduces defectiveness of structure, porosity decreases by cost of more complete filling of inter-grain space, increases the degree of ingredients packing. Results of roentgen-phase analysis and electronic microscopy show that increase of density is stipulated by larger volume of crystalline new growths that are forming in space between grains at high temperature burning, and also by increase of density of glass phase by cost of its armoring by crystals.
Development of Microcontroller Based System for the Diagnosis of pH Electrode

pH is the most widely used parameter in process control industry and analytical laboratory. Monitoring of pH istheoretically simple process but experimental complications are due to problems with glass electrode such as slow response, unstable and incorrect results. The electronic parametersof glass electrode like resistance and capacitance of glass are primarily responsible for the complications. This paper describes the new automatic method for the measurement of electronic parameters of glass electrode. A microcontroller based system has been designed for the measurement of electronic parameters of glass electrode. The high resistance value of glass has been measured by indigenously developed '1/400 deflection ' method whereJunction Field Effect Transistor (JFET) used as voltage variable resistor (VVR). The Digital to Analog convertor (DAC) and Analog to Digital convertor (ADC) of ARM LPC2148 microcontroller have been used to vary the resistance of VVR and measure the deflection potential respectively. The 'Capacitance to Time' convertor circuit interfaced to the digital port has been used for the precise measurement of small capacitance value of glass electrode. Software program has been writtenin C-language for the operations, such as control of gate voltage of JFET, measurement of full and 1/400 deflection potential, measurement of periodic time, solving equations of resistance and capacitance. The developed system has been successfully used for the diagnosis of new and old electrodes. The measured values of resistance and capacitance of new glass electrode are 410 MΩ and 60 pF respectively.
Competency Mapping: A Strategic Hr Tool towards Effective Skill Mapping In Global Market

: Today most business are characterized by operations of business,transition, paradigm shifts, competition pressure, wealth creation, creation of value, customerfocus,value& culture based products & context approach, management in diversity, culture &value driven & what not. The organizationalsuccessearlier depends on physical & financial asset, in today the success is dependent on the intangible ability & capability that lies in the capital and manifest in the form of competency. The buzz-word in the Indian IT industry circle is competency of employee that acts as catalyst to be competitive and attain sustainable competitive advantage of the firm in the face of variousdifficulties that day in-out squeezes and shatters its existence on the less competency is developed& retained. The crux of the organizationin its survival in knowledge era depends upon competency of employees, that lies underground same as seed unless somebody explores it, nourishes & nurturethem for achieving competitive advantage for the company of India. Employee’s competences are always an intangible resources & it is the only resource that can take an organization forward & not its physical & financial asset. Global organizations after the lapse of considerable time span have realized that it is the competencies of employees, which can guarantee all the miss-match & odds in the business world. In the difficult oceanic current the vessel may be sunk or capsized, if the captain & the crew were to be competent they will foresee thefutureand reducethe risksthrough strategic planning& execution & navigate the vessel to the sea shore, thus the competencies of the captain of the ship & his crew is therefore the trump card for the safe landing of the ship. Similarly the organizations in the complex & ever changing environment are subject to constant change & it is the employee competency, whichcreates andsustainscompetitiveadvantage for the firms. Thus the paper aims to highlight the importance of effective competency mapping for strategic HR implementation.
Glutathione and Malondialdehyde levels in the serum of type 2 diabetes mellitus with coronary heart disease

Diabetes is the most common metabolic disease of humans that its prevalence is increasing worldwide . The status of antioxidants in the serum is one of the most important indicators for controlling and treatment of diabetes, because it plays an important role in protection against oxygen species and oxidative stress . The purpose of this study is to evaluate the serum levels of Glutathione and Malondialdehyde in type 2 diabetes mellitus with coronary heart disease (T2DM-CHD) and comparing them to their levels in healthy individuals. Due to this reason, 50 cardiovascular patients effected by diabetes were studied over a period of two months, the blood samples of were taken from healthy volunteers after 8 hours of fasting, and after centrifugation and separation of serum, biochemical investigations conducted on the samples. The level of malondialdehyde serum in T2DM-CHD group was 19.32 ±16.83 μM/mg-pr and and it increased significantly comparing with healthy group (6/93±3/33 μM/mg-pr). The serum level of glutathione in diabetic group was 15/31±6/58 μM/mg-pr and it decreased significantly comparing with healthy group (34.84±10/06 μM/mg-pr). The evaluation of malondialdehyde and reduction of glutathione in T2DM-CHD decrease may play an important role in the developments of complications in these patients, therefore the using of antioxidant as drug or supplement can probably decrease complications in T2DM-CHD.
Analysis of Time Synchronization Protocols for Wireless Sensor Networks: A Survey

: – The time synchronization is a major problem for Wireless sensor networks. Wireless sensor networks have been changing and enhancing the way people perceive environment and technology. Many applications of sensor networks required local clocks to be synchronized for precision but sensor networks required different properties. In order to get fast and on-time response for different applications, it is necessary that wireless sensor nodes must co-operate with one other. The most important requirement to maintain the co-ordination among different sensor nodes is time synchronization. This paper surveys and analysis the existing clock synchronization protocols based on factors like precision, cost, accuracy and complexity. Also this paper compares the qualitative and quantitative evaluation for these WSN protocols. Finally, the survey provides a valuable framework by which researchers can compare new and existing synchronization protocols.
COLL ABORA TIVE BEAMFORMING FOR WIRELESS AD -HOC NETWORKS

In this paper, we present collaborative/cooperative beam forming for wireless ad-hoc networks. Via collaborative beamforming, nodes in wireless network are able to transmit a common message over a long distance in an energy efficient manner. To improve the performance, we have developed a cooperative beamforming algorithm. The idea of cooperative beamforming is to take the help of neighboring nodes to form a beam of electromagnetic energy i.e. the idea of antenna array is used. Since, in this type of network the nodes cannot have antenna array to implement beamforming, we take the help of nearby node to participate in beamforming process. Source node in the network is allowed to transmit. Collaborating nodes receives the transmitted packets. Subsequently each collaborating node transmits its received signal. One or multiple beams are formed each focusing on one destination node and reinforcing the signal intended for a particular destination as compared to the other signals. The proposed work achieves higher throughput and improved SNR in the ad-hoc network.
Evaluation of the effect of hydroalcoholic extracts of Cassia occidentalis in carrageenan induced paw edema in Rats

Evaluation of the effect of hydroalcoholic extracts of Cassia occidentalis in paw edema induced by Carrageenan in Rats. The effect of oral administration of hydroalcoholic extract of Cassia occidentalis seeds on carrageenan induced inflammation has been studied and is compared with the effect of oral administration of Diclofenac sodium as standard on rats. A carrageenan resulted in paw edema. Supplementation with hydroalcoholic extract of Cassia occidentalis seeds significantly decreased paw edema. The results indicate that the seed of Cassia occidentalis is endowed with protected in paw edema.
Recognition of Vehicle License Plate in Real – Time Videos

 Abstract — Automatic video analysis from traffic surveillance cameras is a fast-emerging field of computer vision techniques. Intelligent transport system (ITS), public safety and traffic management can be done efficiently by this key technology. Here, a study of full-featured automatic system is presented for detecting vehicle, tracking and license plate recognition. The system has four modules-Acquisition of video, Vehicle detection and tracking, Extraction of License plate and Character recognition unit. Detection of moving objects in video streams is the first step of information and background subtraction is a very popular and effective approach for foreground segmentation. Next step is Extraction of License plate, which is an important stage in license plate recognition for automated transport system. A region-based method is used to segment the extracted license plates into individual characters. The recognition scheme combines adaptive iterative threshold with a template matching algorithm. This system has wide range of applications such as access control, tolling, border patrolling, traffic controlling, finding the stolen cars, etc. In this technology, any installation on cars is not needed, such as transmitter or responder .
PREPARATION, SPECTRAL CHARACTERIZATION, THERMAL STABILITY AND BIOLOGICAL ACTIVITIES OF Mn (II) COMPLEX WITH 2- AMINOBENZONITRILE AND OCTANOATE

Metal complex of Mn(II) with 2-aminobenzonitrile (ABN) and octanoate ion ligand was synthesized by using microwave irradiation and characterized by the elemental analysis, metal estimation, molar conductance, UV-Visible , IR and Far-IR spectra, non-electrolyte behaviour and monomeric nature of the complex assed from their low molar conductance value. The IR and UV-visible spectra suggest that the complex has Distorted octahedral geometry. The thermo gravimetric analysis of the complex shows the thermal stability of them. The antibacterial and antifungal activities of ligands 2aminobenzonitrile and sodium octanoate and Mn(II) complex were studied against the following strains of microorganisms E-coli, Enterobacter, Klebsiella, Staphylococcus aureus, Streptococci, Salmonella typhi, P.aeruginosa, C. albicance, Aspergillus Flavus and Aspergillus niger by disc diffusion method. Mn(II) complex show enhanced activity compared with that of free ligand for Klebsiella, Streptococci and P.aeruginosa, organisms at100μg/ml and at 50μg/ml.
Internet- und Mobilebasierte Interventionen in der Psychotherapie

Zusammenfassung Strukturelle Versorgungslücken und niedrige Inanspruchnahmeraten therapiebedürftiger Menschen beschränken eine bedarfsgerechte psychotherapeutische Versorgung. Internet- und Mobilebasierte Interventionen (IMIs) können als ort- und zeitunabhängige Angebote dazu beitragen, die psychotherapeutische Versorgung zu verbessern. Der vorliegende Beitrag gibt einen Überblick zum Gegenstandsbereich, der Evidenzbasierung sowie den Implementierungsmöglichkeiten von IMIs.
Test Case Minimization Strategies in CBSE Models: A Review

—Software systems evolve into complex systems every day. Software engineers usually use regression testing over the models detect whether faults introduced into Component Based models. The testing technique works by to doing all existing test cases, but technique however require a lot of time and efforts, depending on the size and complexity of the component based system under test. This paper reviews some of the test case minimization strategies that software engineers use in CBSE Models
Software Cost Estimation in Multilayer Feed forward Network using Random Holdback Method

— Software cost and effort estimation is the most critical task in handling software projects. Since it is very difficult to bridge the gap between estimated cost and actual cost, hence the accurate cost estimation is one of the challenging tasks in maintaining software projects. The software cost estimation is now one of Centre of attention for computer software industries. As software industry runs many projects simultaneously they have to prioritize different processes based on time, cost, and number of staff, sequentially. With the increasing complexity of software, the cost of the software development is also increasing. So it is required to rely on the effective techniques for estimating software costs. Accurate cost estimation is needed because it can help to prioritize and classify development projects. Software project effort estimation is frequently seen as complex and expensive for individual software engineers. Software production is in a crisis. It agonizes from unrestrained costs. Software production is recurrently out of control. It has been propounded that software production is out of control because we do not measure. You cannot bridle what you cannot measure. During last decade, huge analysis on cost estimation has been conducted. The Holdback method has a vital role in software cost estimation studies; its importance has been ignored especially in neural network based studies. The model presented here is based on Multi-Layer Feed forward network (MLF). Another difficulty associated with the cost estimation studies is the fact that the data collection requires time and care. Neural networks can be applied in software cost estimation studies with success. Failures of software are mainly due to the faulty project management practices, which include effort estimation. Continuous changing synopsis of software development technology makes effort estimation more challenging. Accurate software cost estimates are critical to both developers and customers. They can be used for procreating request for proposals, contract negotiations, scheduling, monitoring and control. The distinct relationship between the attributes of the effort estimation is difficult to enact. A neural network is good at pioneering relationships and pattern in the data. This paper is concerned with constructing software effort estimation model based on neural networks. The test results from the trained neural network are compared with (model name) model. By comparing the results of this model, it is proven that both works better than is an optimal neural network model for software effort estimation.
SEMESTER MEDICAL, ENGINEERING & GENERAL STREAM STUDENTS

In today’s ultra competitive environment, students face more stress than ever be, it related to studies, examination, peer, teachers or parent’s pressure. The present study aimed to explore whether academic stress, suicidal ideation, mental well-being differ significantly in terms of 1 st semester and 3 rd semester students of medical, engineering and general field. For this study, a sample of 444 students of medical, engineering and general courses was taken. Students were equally distributed in each stream with 148 students. Tools used included the Adult Suicidal Inventory, Mental well-being Scale and Student Life Stress Inventory. Data were collected using the technique of stratified sampling. Data were statistically analyzed by mean, S.D. , ANOVA and Product Moment correlation. The present study findings revealed that the students of 3 rd semester are more stressed and prone to suicidal ideation than 1 st semester students as well as significant positive correlation exists between academic stress and suicidal ideation but mental well-being is negatively correlated with both of the variables academic stress and suicidal ideation.
EVALUATION OF INDOOR AND OUTDOOR AIR QUALITY IN SELECTED OFFICES AND LABORATORIES IN UNIVERSITY OF CALABAR

The study to evaluate the indoor and outdoor air quality in selected offices and laboratories in the University of Calabar was carried out. Laboratories in faculty of biological sciences (MCB LAB 222, GBT LAB, ZEB LAB) and selected offices within faculty of physical sciences (OFPS1, OFPS2) and Department of Microbiology (OMD1 OMD2), as well as the open car park in Biological Science (CPBB) were examined for microbial load. The sedimentation technique using open Petri-dishes containing Nutrient agar, Manitol salt agar, MacConkey agar, and Sabouraud dextrose agar placed one meter above the floor for 15 minutes at different sections of the aforementioned sampling sites was used. They were transported to the Department of Microbiology laboratory in a clean container for analysis. Bacterial isolates from the samples were identified using standard microbiological techniques while fungal isolates were identified based on colony appearance, microscopic examination of spores and hyphal characteristics of lactophenol cotton blue preparation. Results obtained in this study revealed that air samples collected from MCB LAB 222 had the highest total heterotrophic count (184±6.08cfu/m), total Staphylococcal count (20±2.83cfu/m) and fungal count (23±2.33cfu/m), while air samples collected from an office in faculty of Physical Science (OFPS1) had the least total heterotrophic count (38±2.32cfu/m), total Staphylococcal count (3±0.08cfu/m), total coliform count (0cfu/m) and total fungal count 4±0.08cfu/m). Bacterial species isolated from the air samples were identified as Bacillus sp. , Staphylococcus aureus, Pseudomonas sp. , Escherichia coli, Streptococcus sp. , and Micrococcus sp. , while the fungi species was identified as Aspergillus sp. , Mucor sp. , Penicillium sp. , and Fusarium sp. Amongst the bacteria isolates, Staphylococcus aureus had the highest frequency of occurrence (39) while for the fungi isolates, Fusarium sp had the highest frequency of occurrence (15). However, this study has revealed that the indoor air quality of the laboratories was not hygienic and exceeded the WHO standard of 100cfu/m for indoor air. Furthermore, the levels and type of airborne microorganisms identified in the air samples are capable of causing severe infections to occupants and visitors who have more severe impairment of immunity. Hence, improving hygienic practices as well as ventilation performance may be a viable solution to overcome this risk.
Preserve Quality Medical Drug Data toward Meaningful Data Lake by Cluster

Big data is facing many challenges in different aspects, which appear in characteristics such as: Velocity, Volume, Value and Veracity. Processing and analysis of big data are challenging issues to acquire quality information in order to support accurate medical drug practice. The quality of data taxonomy is indicated by three basic elements: are meaningful, predication and decision-making. These elements have been encouraged in previous work that focused on the same challenges of big data. Consequently, the proposed approach preserves the quality of medical drug data toward meaningful data lake by clustering. It consists of four components. Data collection and pre-processing represent the first component in the data lake. Profile data is treated with semi-structured data to clean it up. The second component is extracting data through enforcing rules on whole data to produce different groups and generate weight based on constraints within groups. In component three, data is organized and clustering. This component complies with schema profiling referring to component two in the data lake. Weight outputs of component three are inputs for component four, where K-Mean clustering is applied to obtain different clusters. Each cluster presents an alternative drug to achieve meaningful drug data that is consistent with component three in the data lake.This paper addressed two main challenges; the first challenge is extracting meaningful data from big data; whereas the second challenge is using big data technique with K-Mean clustering algorithm. An experimental approach was followed through using Food and Drug Administration (FDA) data and symptoms in R framework. ANOVA statistical test was carried out to calculate sum of square error, P- Value and F-Valuefor the evaluation of variances between clusters and variances within clusters. The results showed the efficiency of the proposed approach.
Performance Measure for Security of Bluetooth Enabled Devices Using BBD

— The use of Bluetooth is increasing rapidly because of wireless communication which has many advantages like cable replacement, fast and growing. In this paper we are using BBD to protect Bluetooth enabled devices against the attacks that are possible on such devices. With the help of BBD we can enhance the performance of Bluetooth enabled devices communication between two devices. This paper gives the performance analysis and evolution to execute the programs implemented which are used for securing the communication of Bluetooth enabled devices and we also discuss about the memory required and time to lead and execute the methods, threads and classes. This paper describes some java APIs and packages which are used during the implementation of proposed approach and J2ME provides the Bluetooth java APIs.