Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified Milne Simpson Method for Solving Differential Equations

In the present paper, modified Milne Simpson method have been developed for solving ordinary differential equations. We apply Daftardar-Gejji and Jafari iterative method on implicit Milne Simpson method to derive the proposed method. The efficiency and error of this method is tested through various types of numerical test problems. It is observed that the proposed method gives better solution as comparative to other methods.
Design of Level Shifter for Multiple Supply Voltage SOC

Level shifter is an interfacing device playing a wide application in System On Chip (SOC) design. Modern SOC utilize Multi Supply Voltage Design (MSVD) because of their low static and dynamic power consumption. When a high voltage supplied cell of SOC is driven by a low voltage supplied cell then their occur error due to inability of low signal to drive a high voltage cell. For interfacing these two different voltage driven cells a level shifter is necessary between them. Since Multi Supply Voltage Design is adopted to reduce power consumption the added interfacing device should not degrade its value. In this paper I compared a variety of existing level shifter upconverting near/sub threshold level to super threshold levels in terms of power and delay. From the comparison I came to know DCVS level shifter be the best among all other level shifter circuit. Thus I proposed DCVS with NMOS diode current limiter level shifter to provide improved conversion range with less power consumption and reduced delay. CADENCE Virtuoso 180 nm CMOS technology is utilized for performing simulation, layout editing, RC extraction and post layout simulation.
PV/BATTERY TO THE GRID INTEGRATION OF HYBRID ENERGY CONVERSION SYSTEM WITH POWER QUALITY IMPROVEMENT ISSUES

Grid integration of photo voltaic (PV)/Battery hybr id energy conversion system with (i) multi-function al features of micro grid-side bidirectional voltage source con verter (μGVSC) (ii) tight voltage regulation capability of b attery converter (iii) MPPT tracking performance of high g ain integrated cascaded boost (HGICB) dc-dc Convert er with quadratic gain and less current ripple are presente d in this paper. The PV side HGICB Converter is con trolled by P&O MPPT algorithm to extract the maximum power fro m the variable solar irradiation. This paper propos es a modified Instantaneous symmetrical components theory to the μG-VSC in micro-grid applications with following int elligent functionalities (a) to feed the generated active po wer in proportional to irradiation levels into the grid (b) compensation of the reactive power, (c) load balancing and (d) miti gation of current harmonics generated by non-linear lo ds, if any, at the point of common coupling (PCC), thus enablin g the grid to supply only sinusoidal current at uni ty power factor. The battery energy storage system (BESS) is regulat ed to balance the power between PV generation and u tility grid. A new control algorithm is also proposed in t his paper for the battery converter with tight DC l ink voltage regulation capability. The dynamic performance of battery conv erter is investigated and compared with conventiona l average current mode control (ACMC). A model of a hybrid PV Energy Conversion System is developed and simulated in MATLAB/SIMULINK environment. The effectiveness of t he proposed control strategies for HGICB converter and μG-VSC with battery energy conversion system are val idated through extensive simulation studies.
Genetic Polymorphism and Diversity of Iraqi native cattle (Misan province) Using PCR-RAPD

This study was conducted in the genetic engineering laboratory/ biology department/ college of science/Misan University. Three primers (OPA-16, OPB-08, OPF-05 ) were applied in this study, all of which showed polymorphism, the highest polymorphism was with the primer OPA-16 which reached to 85% while the primer OPF-05 showed the lowest polymorphism that reached to 80%. Also the results showed that the total number of polymorphic bands was 339 with the three primers, the percentage of polymorphism was 82% The molecular weight of the bands ranged between 50-1350 bp. The results of this study explained the adaptation of local Iraqi cows with the hard climatic condition in the region as well as increase resistance to diseases .
Real Estate Investment Advising Using Machine Learning

- The project makes a comparative study of various Machine Learning algorithms namely Linear Regression using gradient descent, K nearest neighbor regression and Random forest regression for prediction of real estate price trends. The aim of this paper is to examine the feasibility of these machine learning algorithms and select the most feasible one. To achieve the aim, parameters like Living Area, Number of rooms, Distance from airport/highway/station/major landmarks, Proximity to hospitals, Shopping options, Number of theaters, geographical location(harbor/central/western) are used as the input to the model and real estate price in the next quarters is the output variable. The quarterly data during 2005-2016 is employed as the data set to construct the model and the data has been obtained using Web Scraping from websites like 99acres.com, Magicbricks.com, Google.com. The experimental results on the training data set are used to compare the various algorithms based on error calculation using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE).
A new method for a nonlinear acoustic echo cancellation system

- Acoustic echo cancellation (AEC) is a fundamental requirement of signal processing to increase the quality of teleconferences. AEC has been concerned since the 1950s in telecommunications and efficient solutions for linear echo cancellation had been devised. Teleconferencing systems employ FIR adaptive filter to echo cancellation. However, in this case the problem is difficult to solve because of nonlinear echo path. In this paper, we propose a new method for acoustic echo cancellation system which uses neural network combined with Laguerre filter model to reduce echo signal in nonlinear system. The results of simulations on Simulink will demonstrate the efficiency of the solution.
Vital Pulpotomy and its Perspectives

The article is devoted to the history of research and the development of materials being the protectors of the pulp used for vital amputation and pulp capping when it is accidentally exposed and also to the use of MTA in dentistry, including pediatric, as well as the prospect of the use of MTA in vital amputation of permanent teeth with the formed apex as a stage of preparation for prosthetics.
Graphene sensor for smart phone based continuous monitoring of ECG signals

ECG (Electrocardiography) is an important vital sign in the body of a human, which can detect different illness including cardiac arrhythmias, heart attacks and cardiomyopathy. Continuous monitoring of ECG can prevent such type of diseases on time and help to control the death rates and decrease the healthcare costs by enabling early intervention. In this regard, this paper presents a graphene-based ECG sensor for continuous monitoring using behind the ear location. Due to excellent electrical conductivity, the graphene layer is coated on the surface of Ag/AgCl ECG measurement electrodes using a drop casting technique for the improvement of skin to electrode contact. The quality of the contact is further compared with traditional Ag/AgCl electrodes to evaluate the performance in terms of the better output signal. The obtained results showed that the signal from graphene-based electrodes is better than the one obtained with conventional electrodes in term of SNR (signal to noise ratio) and shoes that all the waveforms of a cardiac cycle very clearly. Furthermore, the ECG acquisition unit is integrated with the CBT (Core body temperature) sensor capable of measuring temperature from the tympanic membrane (in the ear). Both sensors are capable of measuring the vital signs from the ear location. Moreover, the device is capable of sending the data to the mobile application via Bluetooth communication, the application running in the phone of the user would allow continuous monitoring of their ECG and CBT in real time by providing a user-friendly environment. *Correspondence to: Wamadeva Balachandran, Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK, Tel: +44 (0) 1895 265774; Fax: +44 (0) 1895 269782; E-mail: wamadeva. balachandran@brunel.ac. uk
IN VITRO ANTIFUNGAL SUSCEPTIBILITY OF TRICHOPHYTON SPECIES AGAINST ITRACONAZOLE, KETACONAZOLE AND TERBINAFINE

OBJECTIVE: This study was to evaluate the antifungal susceptibility of Trichophytonrubrum(n-75), Trichophytonmentagrophyte(n-50)and Trichophytontonsurans(n-25) against three antifungal drugs namely Itraconazole, Ketaconazole and Terbinafine. METHOD: Antifungal susceptibility was evaluated by CLSI M38 (A) method with minor modifications. RESULT: All tested organisms produced detectable growth after 7 days of incubation at room temperature. Buffered RPMI1640 medium yielded adequate growth of dermatophyte. When all the strains were considered together, the geometric means of the MICs of terbinafine was lowest, which is 0.025 forT.rubrum, 0.03 for T.mentagrophyteand0. 012 for T.tonsurans. The comparison of the in vitro susceptibilities of all three tested antifungal agents revealed that they were highly effective, but terbinafine was the most effective. Ketoconazole showed highest MIC values to the tested isolates. Mean difference in susceptibility of each antibiotic to different species was significant at the 0.05 level (P>0.05). Conclusion: Drugresistance could possibly be due to the absence of a proper Antifungal bio gram. While it may seem that fungal infections are generallybenign, a continued lack of adherence to protocols of antifungal susceptibility testing will eventually lead to a situation akin to that observed in the emergence of multi-resistant organisms. If clinical resistance to antifungals is suspected, in vitro antifungal susceptibility testing is to be utilized for better antibiotic choice in contrast to a blind misuse of antifungals.
knowledge production through collaborative management research

Recently, literature around the theme of collaborative management research has grown considerably. According to the definition of collaborative management research, two components are connected to each other in this context; managers of organizations and academic researchers. In literature, many authors claim that the relationship between these two components could lead to significant advantages for both of them. On the one hand, managers can learn more about new methods of handling complex systems, and on the other hand, researchers can have a chance to recognize new theories and develop their knowledge through this collaboration. Some authors argue that collaborative research not only leads to an increase in knowledge production, but also encourages knowledge sharing among the participating researchers. Therefore, knowledge production is an important issue in collaborative management research. In literature, many authors claim that the quality of knowledge production through collaborative research is higher than in non-collaborative cases. With the view of making collaborative management research more valuable, knowledge production could play an important role in three issues related to enriching collaborative management research; namely rigor, reflection and relevance. The issue of knowledge production has been a controversial and much disputed subject within the field of collaborative management research. In this paper, some studies are reviewed in order to find out the effect of collaborative management research on knowledge production. Moreover, the pattern of collaboration in knowledge production is also discussed.
DO WE HAVE SUFFICIENT LITERATURE ON E-RECRUITMENT AND SELECTION AN ANALYTICAL REVIEW BASED ON E-RECRUITMENT AND SELECTION

Recruitment and selection is one of a most prominent and primary function of all sorts of organizations regardless of public or private sector. The vitality of this function has been known by the factor that this function decides about the success and failure of an organization. Historically this function had been executed through a traditionally adopted mechanism which in somehow is still continue even in the era of information technology. The basic objective of this review study is to analyze the earlier literature that has been generated by the different researchers in the field of recruitment and selection by keeping in view a specific focus on the use of information technology. Another rational of this study is to understand how far these studies have addressed digitalization of the recruitment and selection to align it with the needs of modern trend where the issue of digital immigrants and natives has adopted a serious debate. A rigorous approach has been adopted to scrutinize the existing literature keeping in view its relatedness and importance to conduct a thoughtful analysis with a detailed logical discussion. This study has elucidated the various scenarios in the light of existing strength of related literature. It has been concluded that research in the field of electronic or digital recruitment & selection is at infancy level. There is a vital need of conducting further review
An Efficient Vehicle Tail Detection Scheme in Advance Driver Assistance

The vehicle taillight detection is the major constrain in different scenario like day time /night time, vehicle orientation, broken taillights and sharp bends. In this paper the above constrains are entirely recovered by proper thresholding selection. In final step the system has able to differentiate the braking signal, reverse signal and left/right signals efficiently. These signals are classified by the suitable classification technique. Then it forward the alert signal to the driver.
Molecular modeling studies and structure based virtual screening for identification of potent ligands for Cb2 receptor

The CB2 receptor is an attractive drug target for treatment of pain and inflammation. CB2 receptor is member of rhodopsin-like family of seven-transmembrane G-protein-coupled receptor. In this work, three dimensional structure model of CB2 receptor in Homo sapiens was determined based on template sequence (PDB code: 2KS9) by comparative homology modeling program MODELLER9v10. Selection of template was done through mGenTHREADER tool in MODELLER, which has 13.1% sequence identity with CB2 receptor. The computed model’s energy was minimized and validated using PROCHECK and ERRAT to obtain a stable model structure. Stable model was further used for virtual screening against N-1 alkyl chain length of cannabimimetic indoles through molecular docking studies using AutoDock 3.05. The docked complexes were validated and enumerated based on the AutoDock Scoring function to pick out the best agonist based on docked Energy. Thus from the entire 30 compounds which were Docked, we got best 3 of them with optimal docked energy as JHW-156 (Docking Energy -13.26 kcal/mol), JWH-122(Docking Energy:-12.53 kcal/mol) and JWH-146 (Docking Energy: -12.46 kcal/mol). Further the three best-docked complexes were analyzed through Python Molecular Viewer software for their interaction studies. Thus from the Complex scoring and binding ability its deciphered that these ligands could be used as interesting leads for the development of new active CB2 ligands. QSAR Properties of all these compounds were calculated, which shows these compounds could be used as interesting leads for development of new active CB2 ligands
An Ensemble Data Mining Approach for Intrusion Detection in a Computer Network

- As activities being done on the internet keep expanding every day due to the fact that we are in the era of the information age, securing sensitive and crucial data on computer networks against malicious attacks tends to be a challenging issue. Designing effective Intrusion Detection Systems (IDSs) with maximized accuracy and low rate of false alarms is an imperative need in the world of cyber attacks. This work was designed to employ an ensemble data mining technique for improving IDSs by carrying out some experiments using the KDD 99 intrusion dataset. Dataset was fragmented into five, representing the major categories of attacks: Normal, DOS (Denial of Service), Probing (Information gathering), R2L (Remote to Local) and U2R (User to Root). An ensemble classifier using the Stacking method with the Naïve Bayes and Multilayer perceptron algorithms as the base classifiers and J48 as the meta learner was developed. The base classifiers were also employed on the dataset individually, and performance comparison was done between individual classifiers and the ensemble classifier. A 10-fold cross validation for training and testing of data and Gain ratio technique for filtering of the dataset was adopted. Ensemble classifier maximized accuracy the most and helped in reduction of false positives of the U2R attack type.
A Survey on Effects of Computer Based Technology for Special Needs Learners

---------------------------------------------------------------------- ABSTRACT ------------------------------------------------------------- With e-learning, the much talked technology in education, various learning environments and activities have come up to promote more effective, efficient and meaningful learning. As the learning requirements of general learners differ from that of special learners, learning technology comes to the rescue of special need learners. Special needs can be broadly categorized as physical and mental. This study concentrates on the special needs of mentally challenged learners. Learning disabilities for mentally challenged learners have a broad spectrum. Many learning technologies have come up with specialized programs for special need learners but satisfactory results have not been obtained. The study carried out focuses on the survey of various specialized programs such as ‘Math Explorer’, Teach Town: Basics, Animated Pedagogical Agents, to name a few, that have been used for special needs learners for their social, emotional and cognitive skills. Also the paper reviews the research work that uses Computer Assisted Technologies or other Learning Technologies carried out for the spectrum for special needs learner.
Pragmatic Trials: Importance and Impact

Clinical trials have been the mainstay of research and are considered as the gold standard to test and evaluate interventions over decades. The traditional clinical trials face a major challenge i.e., a gap between the research and the delivery of care. Now days there is a growing need for the development of a high-quality, widely applicable and a more evidence-based approach. Trials are categorized into two types: explanatory and pragmatic. Explanatory trials purpose to test whether an intervention works under ideal situations where as pragmatic trials are designed to evaluate the effectiveness of the trials in everyday practice. The pitfalls of the explanatory trials have found for a more practical approach i.e. pragmatic in attitude. Pragmatic trials provide results that can be more generalized and applied to a broader population and can be used in dayto-day practice whereas explanatory trials cannot be generalized broadly. This review discusses the concept of a pragmatic trial, its importance and impact of this design on health care systems, patients, and providers. Further, this review discusses the differences between the explanatory and pragmatic trials, examples of explanatory trials that need a more pragmatic approach, continuum between pragmatic and explanatory trials along with the limitations of pragmatic trials. Journal of Endocrinology and Thyroid Research ISSN: 2573-2188
Acaricidal activity of tropical plant extracts against citrus mites and their effect on predator and citrus plants

The objectives of this study were to evaluate the acaricidal activity of 30 tropical plants extracts against citrus mite and their effect on predator and citrus plants. The citrus rust mite Phyllocoptruta oleivora and the citrus red mite Panonichus citri were used as mite test, while Harmonia axyridis was as predator test. Plant materials were extracted with ethanol and water separately using infusion methods. Bioassays were conducted by leaf-residual feeding method. The results showed that some new resources of botanical acaricide screened from 30 plants species. Not all of ethanol extracts screened showed very strong or strong acaricidal activity. Aqueous seed extract of J. curcas (Euphorbiaceae) exhibited the strong acaricidal activity against P. oleivora with LC50 of 0.8%, followed by the aqueous seeds extract of M. elengi (Sapotaceae), P. pinnata (Sapindaceae), and the fruit extract of Br. javanica (Simaroubaceae) with LC50 of 1.06%, 1.29%, and 1.45%, respectively. All of the aqueous extracts assayed could not cause the death of the predator H. axyridis. Aqueous seed extracts of J. curcas and M. elengi at a concentration of 5% could not cause phytotoxicity symptoms on the citrus leaves of Citrus sinensis. Further studies are required to identify active compounds in those active extract.
Crypto Keys Based Secure Access Control for JTAG and Logic BIST Architecture

— A technique to provide programmable secure access to the scan based Logic Built in Self-Test (BIST) structures is proposed. Joint Test Access Group (JTAG) interface is the major test access method used in VLSI IC’s. At the same time, it can be misused as a means to access and hack the hardware circuitry of the IC. It is addressed in this method to prevent unauthorized users from hacking the JTAG interface and interfering in the Logic BIST test functions. A two stage, multiple crypto algorithms based separate authorization schemes are used. A configuration register can be programmed to select the level of security to a specific user group. Different crypto algorithms can be chosen, with user specifiable key lengths. A challenge response protocol is employed to authenticate the user and corresponding accessibility. All the features included are compliant with the IEEE JTAG standard 1149.1. This technique is applied on ISCAS-89 and ISCAS-99 benchmark designs with the help of Cadence Encounter true time 13.1 design automation tools and results are shown. A small amount of (less than 2 to 5%) increase in area reported for implementing the security features.