Miracle-dz/UniFAR-FTUs huggingface dataset:
Alterations in superoxide dismutiase , vitamins C and E in HIV infected children in Umuahia , Abia state

Alterations in superoxide dismutase (SOD), vitamins C and E status of HIV-infected children in Umuahia were investigated at the HIV/AIDS clinic Federal Medical Centre Umuahia. A total number of one hundred and twenty six (126) subjects aged 2 -12 years were recruited and grouped into three (3) of forty-two (42) each of control (group 1), HIV-infected children on therapy (HAART) (group II) and HIV-infected children without therapy (HAART) {group III) with equal number on males and females. The levels of the parameters were evaluated spectrophotometrically after determination of the HV statuses of the subjects. HIV-infected children in group III showed significantly lower values of SOD (2.8±0.9 u/ml), vitamin C (3.7±0.5 ng/ml) and vitamin E (6.1±0.5u,moL/L) (L) when compared with group II (3.4±1.Ou/ml; 4.8±0.5u.glmL and 7.4±0.7u.ml/L) and group I (7.8±1.5ulml; 6.5±0.8|ag/ml and 10.4±1.8u>mol/L) respectively at p<0.05. A significant strong positive correlation was found between SOD, vitamins C and E and the alterations observed were not gender dependent at P<0.05. The results showed an increase oxidative stress following HIV-infection with loss of antioxidants which accelerates the disease progression.
OYSTER MUSHROOM: ANSWER TO HUMAN AILMENTS

Oyster mushroom is consumed all over the world due to its taste, flavor, high nutritional value, and some medicinal properties. Many species of this genus are rich in proteins with essential amino acids, polysaccharides, essential amino acids, dietary fibers, important minerals, and some vitamins. Because of this nutritional composition and presence of bioactive molecules, oyster mushroom has been reported to have anticancer, antihypertensive, antihypercholestromic, antidiabetic, antiobesity, antiaging, antimicrobial, and antioxidant activities. The high nutritional value and potent medicinal uses suggest that Pleurotus mushrooms are important functional foods or nutraceuticals.
Buyer-Vendor incentive inventory model with fixed lifetime product with fixed and linear back orders

The cooperation strategy followed by the buyer and vendor results is an overall effect on the saving percentage along with the impact of inventory costs such as holding cost, fixed and linear backorder cost. This paper deals with buyer vendor incentive inventory model with fixed lifetime product with fixed and linear back order cost. A distinguishing feature of this model is that both fixed and linear backorder costs are included, where as previous work include without backorders. The model is developed and proved with a numerical example. The outcome of increasing holding cost, backorder cost for both buyer and vendor or individually is found.
The Effect of Organizat Commitment, Job Satisfaction and Work Performance in Select Public Services

Organization learning denotes a change in organization knowledge. Organizational learning typically adds to, transforms, or reduces organizational knowledge. Hence we examine the relationship among these variables using a sample of select public services managers in Telangana. Organization learning was found positively related to organizational commitment, job satisfaction, and work performance. Organizational commitment and job satisfaction are also positively related with work performance and these variables partially mediate the relationship between organizational learning and work performance.
Facial Gender Recognition Using Eyes Images

: In the last decade, computer vision and pattern recognition field draw more attention; Facial gender classification can significantly improve human identification. It is useful in many applications that make use of the gender information. This paper proposes a novel feature extraction technique that used only the eye and eyebrow region to extract the features will be used in the gender classification. The proposed technique was consisting of several steps. The first step was to crop the eye area from the image as a pre-processing. Then apply one of the feature extraction methods: 2D-Wavelet Transform, Gray Level Co-occurrence Matrix and Discrete Cosine Transform. Finally, use SVM in the classification step to get the results. The proposed method obtained accuracy rate of 99.49 % on gender recognition using 2D-Wavelet Transform, accuracy rate of 98.49 % on gender recognition using GLCM and 99.62 % with DCT on Faces94 database.
FREEGOR: A FAST AND RELIABLE AND ENERGY EFFICIENT GEOGRAPHIC OPPORTUNISTIC ROUTING PROTOCOL IN WIRELESS VISUAL SENSOR NETWORKS

Network lifetime, reliability and timely communication in Wireless Visual Sensor Networks (WVSNs) are major problems since visual data are not one dimensional. Reliable communication may need multiple transmissions resulting in delay and waste of energy and may need retransmissions. Our challenge is to provide these contradictory quality constraints in one protocol.Attaining one particular quality service proficiently and not considering the other quality services is not a smart choice nowadays. In this paper, we have made an attempt to provide multiple quality constraints such as reliability, timeliness, energy efficiency, network lifetime, bandwidth consumption and less overhead cost for routing in WVSNs. We propose FREEGOR protocol which exploits geographic opportunistic routing to transmit visual data by choosing the nodes having high reliability, maximum energy and least delay. The FREEGOR protocol provides the best routing with maximum network life time, less overhead and negligible retransmissions. Evaluation results show that the FREEGOR represents its name.
Physical and Rehabilitation Medicine in Patients Suffering from Chronic Pain

The World Health Organization (WHO) has defined Rehabilitation as “the use of all available means, with the aim of reducing the impact of disability as well as the diseases that cause it, allowing the disabled to reach an optimal level of social integration “ [1]. More broadly, the Section for Physical Medicine and Rehabilitation of the European Union of Specialist Physicians (UEMS-PRM Section) defines Physical and Rehabilitation Medicine (PRM) as: “an independent medical specialty, related to physical and cognitive functioning, to activity Behavior), participation (including quality of life), and modification of personal and environmental factors. Being therefore responsible for the prevention, diagnosis, treatment, as well as the management of rehabilitation for disabled people of all age ranges” [2].
Proliferator Activity, Expression Interleukin-2 andInterferon-γ of Immunoglobulin Y Anti HIV in Peripheral Blood

The present study was performed to investigate the effect of Immunoglobulin (Ig)Y anti HIVon PHA-activated peripheral blood mononuclear cells (PBMCs) proliferation, interleukin (IL)-2 and interferon (IFN)-γ secretion. Effects of IgY anti HIV in different concentrations of 25, 50 and 100 μg/mlon phytohemagglutinin (PHA) activated-human peripheral blood mononuclearcells (PBMC) proliferation were determined byMTT assay. The concentration of IL-2 and IFN-γ in the PBMCs supernatant was determined using enzymelinked immunosorbent assay (ELISA). Determination of mRNA expression of IL-2 and IFNγ by reverse transcription-polymerase chain reaction (RT-PCR). IgY anti HIVsignificantly enhanced the proliferation of PBMC induced by PHA. Furthermore, IgY anti HIV dosedependently enhanced IL-2 and IFN-γ production in PHA-activated PBMC, suggestingthat pharmacological activities of Ig Y anti HIV inPHA-activated PBMC may be mediated by regulating the production ofcytokines in PBMC. In the RT-PCR, production of cytokines such as IL-2 and IFN-γ in PHA-activated PBMC cultures were increased by IgY anti HIV. We concluded that the enhancements of IL-2 and IFN-γproductions in PHA-activated PBMC were related to IgY anti HIV stimulating the mRNA transcription of these cytokines.IgY anti HIVincreased IL-2 and IFN-γ productions in PHA-activated PBMC cultures by modulation of their gene expression. Cell proliferation, IL-2 and IFN-γ production of PBMC play important roles against bacterial and viral infection. It suggests that IgY anti HIV may be an immunotherapy. However, its detailed mechanisms of action are subjected for further study.
Pharmacodynamic Model of Ligand Gated Ion Channel Concomitant with Cell Signalling Pathways

In this present paper the authors endeavored to show the effect of neuromuscular drug on the ligand channels via cell signaling pathways. It is well known that during surgery neuromuscular drug is administered to achieve muscle relaxation. Thus the response of the ligand gated channels along with acetylcholine receptor concomitant with cell signaling pathways due to neuromuscular drugs are simulated with help of MATLAB. It has been investigated that due to increment in doses of neuromuscular drug the frequency at which power spectrum density (PSD) occurs, decreases very slowly. Keywords—Ligand binding channels, Neuromuscular drug, Power Spectrum Density, Signaling Pathways.
Comparison of recovery profile of desflurane and sevoflurane in dental surgeries

Aim: Is to find the recovery profile of desflurane anaesthesia to sevoflurane anaesthesia during dental surgeries. Settings and Design: Single Blind Randomized controlled trial. Methods: Forty ASA I and II patients undergoing dental surgeries were randomly allocated into two groups of 20 each, Desflurane (Group D) and sevoflurane (Group S). Group D received desflurane as maintainance agent & Group S received sevoflurane as maintainance agent. Results: There was no difference in demographic profile between both the groups. Time of eye openingin Group D was (6.85 min±1.01) and was Group S was (11.7 min±1.30), Time of stating name in Group D was (9.75 min ± 0.626) and in Group S was (15.4 min ±0.66), Time of walking in Group D was (110.65 min±1.23) and Group S was (152.4 min ±1.74), Time of discharge from PACU in Group D was (159.4 min± 1.39) and Group S was (198.5 min±1.5), all these value were statistically significant. Conclusion: Desflurane is superior to sevoflurane for early recovery during dental surgeries.
ECG Digitzation By Morphological Top-Hat Transform

: The electrocardiogram (ECG) is a 2-D signal graph basically printed on thermal grid lined paper showing heart functionality and is sensed by special electrodes attached over the heart surface. Digitization of ECG is a today’s demand for various cardiologists for preserving papered ECG, for easy analysis of previous records, for fast processing, for solving the problems of complex nature of today’s complex machineries that providing various formats of digitized ECG. In this paper a new approach based on morphological Top-hat transform is developed in order to suppress noises from the ECG signals.
A Multi-Scale Circular Weber Local Descriptor Approach For Matching Sketches With The Digital Face Images

– One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an algorithm that extracts discriminating information from local regions of both sketches and digital face images. All details information present in local facial regions are encoded using multi-scale circular Weber’s local descriptor The proposed descriptor, MCWLD, is based on Weber’s Law. It has several advantages, such as detecting edges elegantly, robustness to noise and illumination change, and its powerful representation ability. WLD features described previously are extracted from the 3 _ 3 neighborhood, which implies a single and fixed granularity. Motivated by this idea , we have developed the multiscale WLD for characterizing local salient patterns in different granularities. It is computed using a circular symmetric neighbor set of P pixels placed on a circle. Parameter P denotes the number of the neighbors, whereas R radius of neighboring pixels surrounded by central pixel. multi-scale analysis of MCWLD can be accomplished by combining theinformation provided by multiple operators of varying Parameter P,R. MCWLD extracts features to compute a histogram by encoding both differential excitations and orientations at certain locations of an sketch and digital face image. Further, an memetic optimization approach is proposed to assign optimal weights to every local facial region to boost the identification . Foreign sketches drawn by sketch artist is of poor quality, a pre-processing technique is used to enhance the quality of images and improve the identification performance. Comprehensive experimental evaluation on different sketch databases show that MCWLD proposed algorithm yields better identification performance compared with the existing face recognition algorithms i.e SIFT ,LBP , Gabor Algorithm face recognition.
A Review on Topic Detection and Term-Term Relation Analysis in Big Data

- Topic models provide a way to aggregate vocabulary from a document corpus to form latent topics. In particular, Latent Dirichlet Allocation (LDA) is one of the most popular topic modeling approaches. Learning the meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging. Topic detection is a tool to detect topics from media attracts much attention. Generally, a topic is characterized by a set of informative keywords/terms. Traditional approaches are usually based on various topic models, such as Latent Dirichlet Allocation (LDA). They cluster terms into a topic by mining semantic relations between terms. However, they neglect the co-occurrence relations found across the document, which leads to the detection of incomplete information. Furthermore, the inability to discover latent co-occurrence relations via the context or other bridge terms will prevent the important but rare topics being detected. To solve this problem we integrate semantic relations and implicit co-occurrence relations for topic detection. Specifically, the approach combines multiple relations into a term graph and detects topics from the graph using a graph analytical method. By combing mutually complementary relations it cannot detect the topics more effectively. This approach can mine important rare topics by leveraging latent co-occurrence relations in huge corpus.
EFFECTIVE TECHNIQUES ON QFD APPROACH AND HOQ USING FUZZY LOGIC

Nowadays in the modern world effective customer services is needed. Many chain management literatures and logistics describethe customer service management strategic, issues of companies, customer satisfaction and gain of market shares. The main aim of this paper is to focus on the original approaches off customer service management and new product development services adopted by quality function deployment (QFD). This methodology has introduced many successful customer services particularly, the main issue of the deployment of the house of quality (HOQ), logistics process improvement and customer satisfaction. The ill-defined nature of the qualitative linguistic judgement deals also with thefuzzy logic.
Multimodal Biometric System for User Authentication with Fuzzy Fusion of Face and Fingerprint

— The vast majority of the successful commercial biometric systems at present depend on fingerprint or face. Moreover, these biometric indicators complement one another in their strengths and advantages. While fingerprint gives exceptionally high verification precision, but still carry some verification errors. The Face recognition is second most preferred method with reasonably good accuracy. In this paper, integration of face and fingerprint recognition techniques using fuzzy fusion method is detailed. The introductory results are promising and indicate that the fusion of face recognition and fingerprint methods further improves the accuracy of the user identification system
A Survey on-Probabilistic Static Load-Balancing of Parallel Mining of Frequent Sequences

: Frequent sequence mining is well known and well studied problem in data mining. The output of the algorithm is used in many other areas like bioinformatics, chemistry, and market basket analysis. Unfortunately, the frequent sequence mining is computationally quite expensive. In this paper, we present a novel parallel algorithm for mining of frequent sequences based on a static load-balancing. The static load-balancing is done by measuring the computational time using a probabilistic algorithm. For reasonable size of instance, the algorithms achieve speedups up to =3/4 P where P is the number of processors. In the experimental evaluation, we show that our method performs significantly better than the current state-of-the-art methods. The presented approach is very universal: it can be used for static load-balancing of other pattern mining algorithms such as itemset/tree/graph mining algorithms.
Case Series of Placental Mesenchymal Dysplasia with Live Birth

Objective: Placental mesenchymal dysplasia (PDM) is a rare disease, the cause is unknown, some are called mesenchymal stem hyperplasia, and some are called pseudo-vesicular block or vascular malformation. The aim is to report the clinical and pathologic characteristics of three cases of placental mesenchymal dysplasia (PMD). Method: Pathologic and clinical data were retrieved from the electronic medical records. The data were reviewed and summarized by the same pathologist. Results: Maternal age was respective 36 years, 31 years and 33 years. Cesarean section was performed at 39 weeks, 37 weeks and 38 weeks, respectively. The newborns were born with birth weight of 1790, 2370 and 3150 grams, respectively, with placenta weight of 590, 579 and 510 grams respectively. Placenta for pathological examination was performed macroscopically thick-walled vessels. Microscopic observation showed that the part of the stem villus was saclikely dilated, the blood vessels were thickened in the villi, the blood vessel wall was thickened, the villus interstitial was loose, and the mucus was changed. Part of the villus edema and degeneration, no trophoblastic hyperplasia, the final villus structure is normal. Conclusion: The size of the lesions in the Placental mesenchymal dysplasia and the location of the lesion is closely related to the birth weight of the newborn. Detailed histology is necessary for diagnosis and differential diagnosis.
Performance Transaction’s Assessment Of Real Time Database System In Distributed Environment

Database performance is a very important aspect of database usability. The objective of this paper is to proposed policy to forecast the performance of transaction under real time database system in distributed environment. A real time database system in distributed environment is a transaction processing system design to handle the workload within a deadline. The objective of such scheme is to complete the processing of transaction before the deadline expires. The performance of the system depends on the factors like as database system architectures, underlying processors, various operating conditions, disks speeds and workloads. Our works involves of forecasting the transaction performance depends on the basis of comparing with commit and abort of a transition in the scheme to give the result through simulation.
REVIEW ON RECENT RESEARCH IN IOT AND ITS VARIOUS APPLICATIONS

Recent days, the IoT attracts as a major focus of the researcher’s community in the field of information technology. IoT growing rapidly as it is the collection of various technologies, methodologies and a variety of applications. IoT is the things that connected to the internet which can be able to interact with each other to achieve the desired goals. This includes the interconnection of several heterogeneous devices to be connected to the internet through some networking protocols. IoTdeals with the hugecollection of data as it is connecting the people, things, application and database. Thedata in IoT are collected from various sources, which is to be analyzed and to classify them. IoT has a wide area of applications including smart cities, smart building, vehicular networks, healthcareservices,military and agriculture. The research areas in IoT include authorization, authentication, secured communication, traffic management, and knowledge engineering. This paper reviews the recent implementations of various IoT applicationsand their research issues.
A Survey on Proof of Retrievability and its Techniques

, anyplace. Variety of solutions are projected to tackle the integrity of stored cloud data and its retrievability. One amongst the most important consideration with data storage in cloud today is data integrity verification of untrusted cloud. A very important approach to attain this goal of data integrity verification is Proof Of Retrievability, in which the storage server will assure verifier via a concise proof that a client’s file is obtainable. In this work, the study on static and dynamic approaches of Proof Of Retrievability and numerous techniques are discussed.
THE CONCEPT OF BIOENHANCERS IN BIOAVAILABILITY ENHANCEMENT OF DRUGS – A PATENT REVIEW

Maximizing oral bioavailability is therapeutically important because the extent of bioavailability directly influences plasma concentrations and therapeutic efficacy after oral drug administration. Bioavailability of poor bioavailable drugs can be increased from the many available approaches in the literature and the most recent approach is the use of bioavailability enhancers. The use of bioenhancers seems to be a fruitful method for increasing bioavailability of an orally administered drug and nutraceutical. This approach leads to improved formulation with enhanced oral bioavailability of the active ingredient. Bioenhancers constitute an innovative concept and judicious use of bioenhancers lead to reductions in drug cost, toxicity, and other adverse effects, and have a beneficial influence on the national economy. This patent review article classifies and describes the various bioenhancers and emphasizes their diverse mechanism of action by virtue of which they act as bioenhancers.
AN SDN-BASED ADAPTIVE SAMPLING FRAMEWORK FOR BOTNET DETECTION IN IOT NETWORKS

: While the rapid development of IoT (the Internet of Things) brings convenience to our life, it also brings huge security risks. The massive devastation of many IoT bots, such as BASHLITE, Carna, Mirai, etc., proves that botnet is one of the biggest threats to IoT. As a development trend of the network, SDN (Software Defined Network) enables the replacement of the network middlebox with application layer services due to its scalability and controllability, thereby enhancing the security of the IoT network and reducing the deployment cost of the IoT network security devices. However, IoT SDN controller nodes usually have constrained computational and bandwidth resources, which impedes the deployment of botnet detection engines in the control plane and application plane. Therefore, we propose the ASFBD (Adaptive Sampling Framework for Botnet Detection). Compared with the traditional SDN-based method, it can significantly reduce bandwidth and computing resource consumption during botnet detection, and keep the loss of detection accuracy within a reasonable range.
CLUSTER BASED DYNAMIC KEYING TECHNIQUE FOR WIRELESS SENSOR NETWORK

: In heterogeneous wireless sensor networks the mobility of sensor node become essential for various applications. There is a possibility for the malicious node to occur. This causes the cluster or the whole network to be controlled by the malicious node . The mobile sensor nodes need to be authenticated; further clustering of nodes improves scalability, energy efficient routing and data delivery. The nodes with high configuration are chosen as cluster head based on weight values which is estimated using parameters such as node degree, average distance, average speed and virtual battery power. The keys are generated using dynamic clustering efficiency algorithm. Hierarchical trust management protocol is used for finding the malicious node among the group of sensor nodes.