Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantification and influence of skin chromophores for remote detection of anemic conditions

Current standards for diagnosing and monitoring anemia are relatively invasive. The superficial symptoms of this condition are due to an underlying deficiency of red blood cells (RBC) or erythrocytes, and hemoglobin in the blood. This results in an inadequate supply of oxygen to the body’s tissues. For point-of-care diagnostic systems, remote determination of blood conditions will depend on an understanding of the interaction of light with hemoglobin. However, the skin acts as the first barrier for this detection. In this study, we pursue the possibility of detecting anemic conditions from the perfused blood in the dermis using optical models and Monte Carlo (MC) methods. The skin is composed of two primary layers, the epidermis and the dermis. The avascular epidermis absorbs light due to its primary chromophore, melanin. Subsequently, the absorption in the dermis layer is quantified by hematocrit and hemoglobin concentrations. Two-layer models of the human skin are set up and optical properties are assigned to these models. The optical variability across these models are defined by six melanin (epidermis) and two erythrocytes (dermis) concentrations. The twelve combinations of optical properties are assessed at six wavelengths of interest in the Virtual Tissue Simulator (VTS) environment. The chosen wavelengths range across the visible and near-infrared spectrum, which is a known and important diagnostic window for biological tissues. In this study, we explore the variability of light interactions for healthy and anemic blood conditions quantified in the dermis while accounting for variable melanin concentrations in the epidermis.
Fuzzy Logic Controller based Dynamic Stability Enhancement of WPGS, PV and Super capacitor inter-connected system-IJAERD

Abstract: This paper proposes a new method for enhancing the dynamic stability enhancement of a hybrid wave and photovoltaic(PV) power generation system integrated into a distribution power grid. The wave power generation system (WPGS) is simulated by a linear permanent magnet generator (LPMG) driven by an Archimedes wave swing (AWS). The output of the WPGS and the PV system are connected to a common DC-link through a voltage-source converter(VSC) and a DC/DC boost converter, respectively. The common DC-link is interfaced to the distribution power grid via a voltage-source inverter (VSI). A super-capacitor (SC) is utilized to smooth the generated power delivered to the distribution power grid. The proposed control scheme to maintain stable operation of the system while achieving maximum power extraction for the wave system and the PV system is test in matlab environment and results are compared with conventional controller.
Ultrahigh accurate statistical interferometric technique utilizing uniformity of speckle phase in the study of plant physiology

Statistical interferometer technique (SIT) is a highly sensitive optical interferometer developed by us capable of measuring sub-nanometer displacements and when applied to plant growth studies revealed nanometric intrinsic fluctuations (NIF). NIF observed in minimum time scale of several tens of seconds is strongly influenced by the environmental conditions. Our earlier experiments with rice under ozone or heavy metal stress, such as cadmium even for a short duration of one hour decreased NIF. In contrast, having a micronutrient, such as zinc increased NIF. Therefore, presence of NIF is found to be a novel phenomenon characterizing plant condition that could appear only under sub-nanometric measurement. In this study, we report the effects of adding a plant growth hormone called auxin. Roots of rice seedlings were exposed to auxin solutions of different concentrations of 0, 1, and 4 μM for 24 hours. Significant increment was seen in NIF for a concentration of 1 μM while a significant reduction was seen in NIF for 4 μM within an hour after immersion of the roots. Application of an inhibitor to auxin called TIBA also resulted in almost immediate reduction of NIF. Current results suggest for NIF affected by the enodgenous hormones to be related to growth, as the action of a growth-related endogenous hormone auxin is chemically inactivated. Thus, NIF not only could be applied to investigate and speedily assess the effects of environmental agents on plant elongation or shrinkage but also could be implicated as one of the possible mechanisms for the origin of NIF itself.
Association between 25-Hydroxyvitamin D Levels and Glycemic Status

Diabetes is widely prevalent globally and around 285 million people have diabetes this number is expected to reach 438 million by the year 2030 [1]. Vitamin D deficiency is also an important public health problem globally [2]. Exposure to ultraviolet light and consumption of foods rich in fat-soluble vitamin D (egg, oily fish, meat and eggs) are the main sources of vitamin D and its levels can be measured by concentration of serum 25-hydroxyvitamin D (25(OH) vitD) [3]. 25(OH) vitD levels are positively related to bone mineral density [4], muscle mass and strength [5]. Moreover, there is a possible association of 25(OH) vitD with certain types of cancer [6,7] infections [8], autoimmune diseases [9] and cardiovascular disease [10]. 25(OH) vitD levels vary with age [11], obesity [12], skin type [13] and ethnicity [14], season [15], liver and kidney disease, medication, nutritional habits and others [16]. Moreover, there is an association of 25(OH) vitD levels with type 2 diabetes mellitus [17,18]. The aim of this study was to examine the association of vitamin D levels with glycemic status in two groups of subjects: patients with diabetes and normal subjects. Methods
COMPARATIVE STUDY OF GOGHRITA AND ARJUN-GHRITA ON BIOLOGICAL PARAMETERS IN HEALTHY HUMAN VOLUNTEERS

Introduction: Ayurveda classified the vaya (age) into three avastha (stages) Baalyavastha, Madhyamavastha and Vaardhakyavastha. In Vardhakyavastha, predominance of Vata causes Shoshana and Kshaya of different Dhatu. In modern medicine, Dyslipidemia and Cardiovascular disease (CVD) are specifically described in relation to aging. Heart is one of the vital organs which is found to be commonly affected in old age. In India, there has been an alarming increase in the prevalence of CVD over the past two decades. According to Ayurveda, origins of diseases are classified into Santarpana and Apatarpanajanya vikar. In Charak Samhita, Hridayavyatha is described under Aptarpanjanyavikar. In vruddhavastha, degenerative changes are prominent, Bruhan chikitsa is recommended. Goghrita is known as best Bruhan, Rasayan and Vayasthapan. Arjun ghrita is mentioned in Ayurveda classics for all types of Hridroga. But in modern medicine, due to increased prevalence of CVD, it is suggested to avoid consumption of ghee. These things are found to be paradoxical. Aim & Objective: This study is aimed to explore the Efficacy of Go-ghrita and Arjun-Ghrita on biological parameters in healthy human volunteers. Methodology: This was a Randomized clinical study. Total 15 volunteers were selected by Cluster Random Sampling method. They were categorized as high, medium and low socioeconomic group. Goghrita and Arjun-ghrita was given in the dose of 10 ml once a day in the morning on empty stomach with lukewarm water for continuous 60 days. Results: No significant change was found in biological parameters because Ghee is a good source of short chain saturated fatty acids which are easier to digest. Conclusion: The consumption of Go and Arjun-ghrita is good for health in the quantity of 10 gm daily in healthy people. It might be helpful for improvement in cardiac function. Further study can be conducted in large number of healthy volunteers for longer duration for confirmation of result.
A Review on Wormhole Detection and Prevention Technique

: - Wormhole attacks can undermine or put out of action wireless sensor networks. In a typical wormhole attack, the attacker be given packets at one point in the network, forwards through a wired or wireless network with take away latency than the network links, and transmits them to a different point in the network. This paper describes a give out wormhole recognition algorithm for wireless sensor networks, which detects wormholes based on the distortions they create in a network. Since wormhole attacks are passive in nature, a hop count technique is used by the algorithm as a explore procedure, renovates local maps in each node, and then uses a diameter element to detect abnormalities reason by wormholes. It can provide the approximate location of wormholes, which is useful in implementing countermeasures this is the main advantage of algorithms.
Automation of Manual Seed URLs Cull Approach for Web Crawlers

: Web mining has become a more emerging topic these days and is speedily increasing with the growth of data on web. It is playing an essential role in our life as it helps us providing quicker information by using new trends and technologies to improve. Hyperlink structure analysis and web crawling provide scope for more advanced research topics. If a system coverers various most relevant web pages in search engine environment, then it can improve the result of search engine. This URL’s set may be useful for extracting more relevant information or improving on existing and may also be useful to manage crawling infrastructure to offer quicker responses. Today, web crawling is an emerging issue in search engine which considers search quality, accessing pages at various servers to extract features. In the current scenario, the user may only be interested in the best result with some specific constraints. The constraint may define to the domain of search or importance of relevant pages. Here, we consider important or useful pages for particular user in searching environment. We proposed a framework, namely BUDG (Base URL’s Set for Directed Graph) which deals with URL’s hyperlink structure and generates a min set of ‘K’ URLs and then discover the covered graph for directed graph. Experimental results show that the proposed framework is working properly for different domain.
Impact and Effect of Technology towards Global Challenges

The main objective of this article is to make complete perception of a sustainable and present society through technology during the transition . It is understood that the technology usually supports and enhances a better path for society. It is also seen that majority of the world population still lives in poverty with inadequate food, housing, and energy along with sufferings which may be easily cured if the environment is made clean, transparent along with fresh water and availability of general medicines and latest technologies. It has been observed that a significant number of former developing countries are now on the threshold of development, helped by technology transfer and technological innovations that have benefited large parts of their populations. A better life usually requires that the basic needs of individuals should be met and aspirations for freedom, belonging, and self-realization are fulfilled as much as possible. It does not necessarily mean the maximization of material production and consumption. The technology should encompass essentially three meanings: tools and instruments to enhance human ability to shape nature and solve problems. This article also focuses on the ethics associated with current research in technology education and challenges that emerged for technology
Progressive Learning via Rearrangement of Noisy Labels

 Abstract: In the recent years the innovation in machine learning has scaled up to a whole another level. Large scale learning problems need a vast variety of labels which can be collected at a low cost. Crowdsourced data offers a really low cost but it comes with a lot of noise, this means that the data collected cannot be trusted and hence can degrade the performance. Among the noisy labels, some labels can be really important. To tackle the difficulty of noisy labels and degraded performance, we offer to propose and actualize, a framework including POSTAL (Progressive Stochastic Learning of Noisy Labels), a new innovation for rearrangement of labels. Our framework gives a double arrangement. One, it sorts all the labels from the reliable one to noisy one. Two, progressively feed the data into the machine to learn.
Camel Milk Ameliorates Hyperglycemia-Mediated Hyperlipidemia and Oxidative Stress on Streptozotocin-Induced Diabetic Rats

The present study aimed to assess the hypoglycaemic effects of camel milk (CM) and its efficiency on dyslipidaemia and altered antioxidant defence system in streptozotocin diabetic albino rats. The animals were divided into 2 categories; the pre-treated and the treated groups. Raw CM (33 ml/kg b. w.) administered daily by oral cannula for 2 weeks pre and after diabetes induction for pre-treated group and 2 weeks only after diabetes induction for treated group. The current study revealed that camel milk administration in pre-treated and treated groups revealed marked significant amelioration on hyperglycaemia, hypoinsulinaemia, hyperlipidaemia, impaired antioxidant defence mechanisms and modulation of PPAR-γ and GLUT4 genes expression as compared to the untreated diabetic rats. These findings revealed the hypoglycaemic effects of camel milk against STZ-induced diabetes through potentiating insulin secretion, modulating PPARγ and GLUT4 expressions and also by hypolipidaemic, potent antioxidant effects.
The role of surfactant type on morphology and thermal behavior of PET nanocomposites

A bentonite (Argel 35) in its pristine and purified form and a sodium montmorillonite (Cloisite Na + ) were organically modified with alkyl ammonium and phosphonium surfactants as well as a mixture of both salts to prepare poly(ethylene terephthalate) (PET) nanocomposites by melt blending. Intercalated nanocomposites were obtained when ammonium and ammonium-phosphonium salts mixture modified clays were used. Organoclays obtained with the salts mixture, especially the purified clays, seem to be best suited to obtain PET nanocomposites with higher thermal stability. The Argel 35 clay characteristics were similar to those of Cloisite-Na + when modified with the same surfactants.
Static Load Balancing of Parallel Mining Efficient Algorithm with PBEC in Frequent Sequences Dataset

---------------------------------------------------------------------------- Abstract - Discovery of Frequent sequence mining is an essential data mining task with broad applications . The output of the algorithm is used in many other areas like market basket analysis, chemistry and bioinformatics. The frequent sequence mining is computationally high expensive. Further sequential patterns mining in a single dimension mining and multidimensional sequential patterns can give us more constructive and useful patterns. Due to the huge enhance in data volume and also fairly large search space, efficient solutions for finding patterns in multidimensional sequence data are currently very important. For this reason, developing a frequent sequence mining algorithm is necessary. Parallel algorithm follows the step by step approach and all participating processors or workers generate candidate sequence and count their estimate time and supports independently.
Sentiment Analysis and Machine Learning Based Sentiment Classification: A Review

Sentiments are the feelings expressed by an individual about entities such as products, services, organizations, individuals, issues, events, topics, and their attributes. Understanding the meaning of sentiment and interpreting them in positive, negative and neutral classes in a automated way is known as Sentiment Analysis. Machine Learning Classifier algorithms are used to classify the sentiment in different classes. This paper presents a comprehensive review of sentiment analysis addressing different concepts in this area, challenges applications along with a list of research areas in this field. It also addresses major machine learning algorithms used for sentiment classification, their comparisons and recent research work in this area. Keywords : Opinion, Sentiment Analysis; Naive Bayes ; Maximum Entropy; Decision Tree; Support Vector Machine.
PRELIMINARY PHYTOCHEMICAL SCREENING AND EVALUATION OF ANTIMICROBIAL AND ANTIOXIDANT ACTIVITY OF AZOLLA PINNATA

The aim of the present study was to evaluate the utilization of Azolla pinnata as potential source of antimicrobial compounds and investigate the antioxidant potential of the fern. Extracts of the fern was prepared using various solvents (ethyl acetate, methanol, chloroform, acetone and water) and preliminary screening was done. The phytochemical screening revealed the presence of various bioactive compounds especially phenols and flavonoids in the extracts. Further antimicrobial activity was carried out using different bacterial and fungal strains.Since the results of phytochemical analysis showed the presence of maximum phytochemicals in the methanolic extract, antioxidant activiy was evaluatd in the methanolic extractof Azolla. Antioxidant activity was evaluated by DPPH free radical scavenging assay and FRAP assay. Total phenolic and flavonoid content was estimated by Folin-Ciocalteau and aluminium chloride colorimetric method respectively. Extract of Azolla pinnata showed marked free radical scavenging and reducing potential. The significant antioxidant efficacy of A.pinnata could be attributed to the presence of high phenolic and flavonoid content. Hence the results of the present study suggests the potential of the aquatic pteridophyte as a rich source of antimicrobial compounds which could be exploited against pathogenic microbes and also a powerful antioxidant against oxidative stress.
THE 128-BIT BLOCK CIPHER

Main fundamental directions which are considered as important for practical ciphers are (1) security, (2) speed, and (3) cost for implementations. To realize these fundamental directions CLEFIA is designed. Clefia is a first block cipher employing the Diffusion Switching Mechanism (DSM) to enhance the immunity against the differential attack and the linear attack. Clefia uses lightweight components for efficient software and hardware implementations. This paper proposes compact and high speed hardware implementation for block cipher clefia-128. This hardware architecture uses minimum hardware resources and maximum frequency of 135.452 Mhz, through which we can achieve a throughputs of 17 Gbit/s
Vehicle Colour Recognition System using CCTV Cameras

— Vehicle Color Recognition System is the implementation of automatic detection of predominant color of vehicles from the traffic images captured through CCTV cameras installed at crossings. This document presents a new effective method for extracting color of vehicle using MATLAB, Firstly vehicle is cropped automatically from the traffic image and then color of individual vehicle is picked according to the probability of frequency of RGB intensity of each pixel. The dominant color is presented as vehicle color in the output.
THE EMERGING ROLE OF BOTULINUM TOXIN IN THE TREATMENT OF OROFACIAL DISORDERS: LITERATURE UPDATE

Botulinum toxin (BTX) is a lethal neurotoxin produced by Gram-positive anaerobic bacterium called Clostridium botulinum. It is the first toxin used for therapeutic purposes since 1989. BTX treatment is relatively safe and efficacious, less invasive, conservative, and the effects are faster and reversible. The purpose of this article is to review the literature regarding the applications of BTX in the treatment of various orofacial disorders, their mechanism of action, contraindications, and complications. From the recently published literature, it is clear that the role of BTX as a therapeutic agent for several conditions is expanding. With the training of BTX-A injection techniques and adequate knowledge about treatment protocols, general dentists can safely administer BTX injections. The ability to use Botox as an adjuvant and primary mode of the treatment for various maxillofacial disorders offers exciting treatment options for dentists and patients in the future.
Retinal Fiber Layer and Macular Ganglion Cell Layer Thickness in Diabetic Patients

Background: To compare the ganglion cell-inner plexiform layer (GCIPL) thickness and the retinal nerve fibre layer (RNFL) thickness between type 2 diabetic patient's eyes with and without diabetic retinopathy (DR) and normal eyes. Methods: In this comparative case-control study two groups of 58 eyes were examined by SD-OCT with peripapillary RNFL, and macular GCIPL assessment. The first group includes 58 eyes of type 2 diabetic patients (33 eyes without DR, 25 eyes with moderate DR, without diabetic macular edema), the second group included 58 eyes of non-diabetic, non-glaucomatous patients. We compared RNFL and GCIPL thicknesses among different groups. We evaluated the potential systemic risk factors for RNFL and GCIPL loss (HBA1C, the presence of DR, other vascular diseases). Results: The two groups were matched concerning the age, gender and the intra-ocular pressure (IOP) level. A significant differences between the two groups was found for the average, superior and inferior RNFL thickness (p<0.001, p=0.005 and p=0.01 respectively). Concerning the GCIPL thickness, it was significantly less in the diabetic eyes (p<0.001), but no significant difference was noted between the diabetic patient's eyes without DR and the healthy controls in all quadrants for the RNFL and the GCIPL. Multivariate linear regression analysis concluded that the diabetic duration, the HbA1c were correlated to RNFL and GCIPL loss in diabetic patient's eyes and the presence of arterial hypertension as well as lipid disorders were found as risk factors in the non-diabetic group. Conclusion: RNFL and GCIPL loss seems to be the earliest retinal changes in diabetic patients, and associated with diabetic duration and poor control. These results can explain the higher risk of primitive angle closure glaucoma in diabetic patients and confirm the neurodegeneration theory in DR's physiopathology.
EFFECT OF FEEDING HIGH FORAGE DIET ON COW’S MILK FATTY ACIDS INTEREST OF HUMAN HEALTH

The aim of this review was to summarize the effect of high forage diets in relation heath promoting fatty acids. Fat content in the milk contributes mineral, vitamins, energy and essential fatty acids (C18:2n-6) and C18:3 n-3) to human. But, inclusion of high proportion milk and milk product especially, saturated fat in human diets is becoming questionable because of the health risk like obesity, cancer, diabetics, and cardiovascular disease. This creates negative altitude on consumers towards milk and milk product. Compromising the milk yield inclusion up to 70% of forage enhance n-3 PUFA and CLA (rumenic and vacinic acid). Studies in rat revealed that CLA (rumenic or vacenic acid) rich butter at 2% of its diet show reduction in mamary tumor and cholestrol indiuced coronary heart disease in rat. However, the contribution of the unsaturated fatty acid from milk to the total human diet is relatively low. Since for human to be effecteive it need reasonable to add 20% of its diet. Beside to this, the findings are still under animal model so further study is still needed to test its real effect on human health.