Miracle-dz/UniFAR-FTUs huggingface dataset:
Islamic Perspective on Importance of Breastfeeding: Two Case Reports

Breast milk contains all basic nutrition needed by a child. Exclusive breastfeeding is recommended to all infants in their first 6 months of life. Infants who had been exclusively breastfed have a better health status compared to infants who were introduced with mixed feeding in their early life. Exclusive breastfeeding not only gives benefits to the child, but also to the mother. In infants it offers protective mechanism in lowering risk of gastrointestinal infection and promotes bonding between the mother and the child. The first case was a 2 years and 7 months old girl who was admitted to Hospital Tengku Ampuan Afzan Kuantan due to acute gastroenteritis with some dehydration. She had been admitted a month earlier due to pneumonia. She was breast fed exclusively for 3 months after she was born. Formula feeding was started after she turned 4 months old. The second case was a 1 year and 4 months old boy who was hospitalized due to acute bronchiolitis. He was not breast fed due to no milk production. Islam views childhood as a critical phase in molding an individual. Parents have been entrusted by Allah to observe and fulfill the rights of the children in providing a conducive environment for them to develop and grow. A good healthcare and proper nutrition are among the child’s rights that need to be filled by the parents. Islam emphasizes the importance of breastfeeding up to 2 years old as a way in providing good nutrition. Islam also provides solution for mothers who are unable to breastfed their child by adopting wet mother. Parents are responsible in providing good health and nutrition for their children. Breastfeeding is also highly encouraged by Islam because it provides medical benefits for both mother and children.
Hardware Implementation of Dynamics Keystroke Applied for Cloud Computing

— Cloud computing is a growing technology which provides remote access to computing resources and user data. Due to its core philosophy of enabling the user to access his data from anywhere and at any time, cloud computing has a major issue with security and user authentication. Biometric identification is a very good candidate technology, which can facilitate a trusted user authentication with the minimum constraints on the security of the access point. However, most of the biometric identification techniques require special hardware, thus complicate the access point and make it costly. Keystroke recognition is a biometric identification technique which relies on the user behavior while typing on the keyboard. It is more secure and does not need any additional hardware to the access point. This paper presents a hardware implementation of an algorithm based on keystroke dynamics analysis synthesized, simulated and implemented on FPGA. The authentication process is based on the GP methods to test the ability of the distance measure between keystrokes and how to distinguish users through their typing dynamics keystroke . The proposed architecture achieves maximum delay 0.55 ns
Decentralized Privacy Preserving Modified MA-CP-ABE-r Scheme Developed for cloud

--Cloud computing enables flexible, on-demand and low-cost usage of computing resources. However, those advantages, ironically, are the causes of data loss, privacy, security and revocation issues which emerge because the data owned by different users are stored in some cloud servers instead of under their own control. To deal with these problems, privacy preserving access control scheme in multi authority with efficient encryption & revocation is proposed. In MA-CP-ABE, encryptor intelligently decides who should or should not have access to the data that she encrypts. GID is used where all the keys generated by authorities using PRKG are tied together. Therefore, even if multiple authorities are corrupted, they cannot collect the user’s attributes by tracing his GID. In Modified CP-ABE designed to resist malicious key delegation by issued different secret key to user. An efficient Modified Multi– Authority Ciphertext –Attribute Based Encryption (MA-CP-ABE-r) on Threshold Access Structure with Revocation facility is designed. Index Terms— Attribute-based Encryption, Multi-authority, Privacy-Preserving Extract Protocol, Access Control.
Protein Fold Classification Using Sequence Features

—Protein fold classification is one of the challenging problems in bioinformatics. It classifies the protein fold in the given protein sequences without depending on sequence similarity. Many traditional machine learning techniques like Support Vector Machines (SVM), K-Nearest Neighbor (KNN) and Neural Networks (NN) are used for this problem. In this paper, we use different meta classifiers for the fold classification problem. The main objective of this paper is to analyze the different meta classifiers on this problem here we found that in-adequate classes are present in the dataset. Support Vector Machine (SVM) which can be effectively extended from a binary to a multi-class classifier does not perform well on this problem. In order to tackle this problem we use different boosting algorithms, rotation forest and random forest in which it has better accuracy than the other classifiers in the existing system.
Opinion Mining and Summarization of User statements in Health Communities

— In the modern world, online health communities provide a variety of medical information helpful for medical practitioners, administrators and patients. In this task we collect real time health posts from reputed websites, where patients express their opinions, including their experiences and side-effects on drugs used by them. We deduce useful conclusions for medical fraternity as well as for the patient community, by performing Summarization of user health post based on the drug. Further, we also classify the users based on their experience with the drug. Also, we shall perform knowledge discovery from users opinion, whereby useful ‘patterns’ about the ‘symptoms-drug-disease’ is done by Association Rule Mining.
Osteopenic fractures in Preterm Infants <1500 Grams -

Introduction: Preterm infants, with a gestational age <29 weeks are at high risk to suffer from osteopenia of prematurity (39%) and may develop spontaneous fractures in 2%-10%. In addition to an insufficient prenatal bone mineralization, the inadequate supplementation with calcium/phosphorus and vitamin D3, immobility, prolonged parenteral nutrition and adverse effects of steroids or diuretics might be further risk factors. However, data on osteopenic fractures in preterm infants are limited and associated co-morbidities are not fully understood so far. Aim of the study was to report on preterm infants with osteopenic fractures and to analyzeco-morbidities.
LECTURERS’ PERCEPTIONS ON USING INFORMATION AND COMMUNICATIONS TECHNOLOGY IN HIGHER EDUCATION INSTITUTIONS

The world is fast growing and its advancement is not in isolation of the Information and Communications Technology (ICT). While it is inconceivable today of a modern organisation operating in isolation of ICT, three Higher Education Institutions (HEIs) in This article seeks to explore how Higher Education practitioners exploit the benefits of ICT in their practice. Using the qualitative approach through interviewing Lecturers, the study explores that despite eff with computer hardware and software, equipping lecturers with skills on how to use ICT, many lecturers still strongly resist using ICT. By reflecting on lecturers’ values and beliefs obtained through their voices performance, the study explores that it is their attitude that promotes or hinders using ICT. The study concludes that for ICT to succeed, HEIs have to assist their lecturers to change their negative attitude on ICT in their practice. V to achieve this are recommended.
A STUDY ON THE ECONOMIC AND OCCUPATIONAL CHALLENGES OF NORTHEAST MIGRANT WOMEN WORKERS IN CHENNAI

The primary focus of the research was to understand the problems, issues, and challenges of Northeast women who have been working in Chennai Metropolitan city particularly from the economic and occupational per spective. The objectives of the study are to find out the demogra phic details; identify the occupational and economi c status and to document / bring out the type of abuses and harassm ents in workplaces.The researcher had used descript ive research design. Using random sampling, probability simple random sampling was applied in this research. Using questionnaire schedule and case studies, the primary data was col lected from 100 respondents. secondary data was als o collected from the articles applied in the research journals, book s, and web sources. The data analysis was done thro ug two soft-wares such as MS-Excel and SPSS 20 version. The findings of the study revealed that employed tribal women in Tamil Nadu particularly in Chennai city undergo unfair treatme nt, abuses, stressful life, income and expenditure problems. This research suggests that the existing Labour laws and company acts are strict to be imposed to protect m igrant female workers from abuses and exploitation and to receive their rightful salaries. Northeast Tribal organiza tions, Companies, NGOs, Governments need to create awareness of their rights and polices, holistic well-being grievance c ll, Counselling, and recourse centers, to install safety devices and to legalize migration registration and to intersta te migration, women act. Skill and self-defense training can definitely make a transformational change in their lives.
Clinical Significance of Soluble CD27 in Chronic Lymphocytic Leukemia

Background: The clinical course of patients with B Cell Chronic Lymphocytic Leukemia (B-CLL) is quite variable, with many patients surviving for prolonged periods without any therapy, whereas others succumb rapidly despite aggressive treatment. Aim of work: We-therefore-studied the prognostic value of soluble CD 27 (sCD 27) and in relation to the level of β2microglobulin in fifty consecutive patients with B-CLL. Results: They were 32 males and 18 females, with a median age of 54 years. A significantly higher level of sCD 27 in patients with CLL has been detected with a mean + SD of 443.69 ± 346.71 U/ml compared to control level of 196.0+33.3 U/ml (P 0.01). Similarly, a significant higher level of serum β2microglobulin in patient with CLL has been detected compared to controls (4.516 ± 1.16 μL/ml vs. 0.6+1.3 μL/ml; P 0.02). Moreover, a significant positive correlation was detected between the pretreatment levels of sCD 27 and β2-microglobulins (r =0.423, P = 0.002). A significant higher pretreatment level of sCD27 and serum β2-microglobulins was detected in patients who didn’t achieve complete response (CR) compared to those who developed CR. Also, they were significant prognostic indicators for both progression free and overall survival rates. Conclusion: The sCD 27 is considered to have a predictive and prognostic value in patients with CLL. [Mohamed Mabed; Loaie El-Helw; Tarek Abouzeid; Emad Azmy; Mohamed A. Ebrahim; Sameh Shamaa. Clinical Significance of Soluble CD27 in Chronic Lymphocytic Leukemia. J Am Sci 2015;11(9):11-17]. (ISSN: 15451003). http://www.jofamericanscience. org. 2
Obesity: Role of Tumor Necrosis Factor-α and of Other Adipocytokines Involved in the Chronic Inflammation and the Immune and Metabolic Dysregulation

Obesity has been declared by the World Health Organization (WHO) as a “global epidemic” due to its high prevalence. It known that genetic, nutritional, metabolic and immunological factors predispose to the obesity. This pathology is considered a chronic inflammatory condition of low grade, which affect the immune and metabolic homeostasis, and is one of the critical processes associated with development of insulin resistance, diabetes and related diseases. Prolonged caloric overload leads to adipose expansion with adipocyte hypertrophy. Tumor necrosis factor-α (TNF-α) induces the gene expression of various inflammatory cytokines and chemokines. The secretion of monocytes chemoattractant protein (MCP-1), and cytokines, such as TNF-α, interleukin-1 (IL-1) and interleukin-6 (IL-6), cause infiltration of the immune cells and adipocyte dysfunction. The over-nutrition, smoking, physical inactivity and the ageing appear to contribute to the development of vascular dysfunction. Endothelial dysfunction associated with TNFα in pathophysiological conditions is linked to excess production of reactive oxygen species and a decrease in nitric oxide bioavailability. TNFα is involved in the regulation of the carbohydrate and lipid metabolism among other biological actions and have important influence on others adipocytokines, such as: adiponectin and leptin produced by the white adipose tissue. TNFα inhibits to the adiponectin that is anti-inflammatory and stimulates to the leptin that is proinflammatory which reveal its harmful effect in obesity. When a cytokine as TNF-α is in high concentrations cause immune and metabolic dysregulation since make up a network with other elements of the system, and the adverse consequences only could demonstrate by scientific studies.
Targeting HLA-B27 Misfolding as a Potential Therapeutic Treatment of Ankylosying Spondylitis

HLA-B27 is a Major Histocompatibility Complex (MHC) class I molecule whose predominant function is the presentation of short 8-10 amino acid long peptides to cytotoxic CD8+T cells. HLA-B27 exhibits a strong association with a group of inflammatory arthritic diseases referred to as the spondyloarthropathies (SpAs) [1]. The SpAs are characterized by inflammation at the entheses, followed by skeletal fusion, which predominantly occurs at the sacroiliac joint and along the vertebral column. In addition, the SpAs are characterized by inflammation of other organ systems such as the gastrointestinal tract, which is perhaps the next most common inflammatory lesion, manifesting as either a ‘Crohns’ or ‘colitis’ like disease [2]. It remains unknown why these specific sites are targets for disease development but it has been proposed that exposure to mechanical stress could be a contributory factor [3].
An Improved Greedy Geographic Routing in Large-Scale Sensor Networks for reduction of local minima problem

: Geographic (or geometric) routing is known for routing messages in greedy manner. It means that the current node selects a neighbor node that is closest to the destination and forwards the message to it. Despite its simplicity and general efficiency, this strategy alone does not guarantee delivery of message due to the existence of local minima (or dead ends). If we want to overcome local minima then it is necessary for nodes to maintain extra nonlocal state or to use auxiliary mechanisms. we study, how to facilitate greedy forwarding by using a minimum amount of such nonlocal states in topologically complex networks. Specifically, we investigate the problem of decomposing a given network into a minimum number of greedily routable components (GRCs), where greedy routing is guaranteed to work. We consider an approximate version of the problem in a continuous domain, with a central concept called the greedily routable region (GRR). We study about GRR concerning its geometric properties and routing capability. We then develop simple approximate algorithms for the problem. Greedy approach presented in this paper performs well in terms of data integrity parameter i.e. number of packets lost is minimized and also time required for transfer of packets from source to destination is minimized in our greedy approach.
Current Trends, Frameworks and Techniques Used in Speech Synthesis – A Survey

— Vocalized form of human communication is Speech. Here, we have reviewed some of the most popular and effective techniques used to generate synthetics speech. In this quest we are able to find the scenario where one method is advantageous over another. We have discusses Text To Speech Architecture putting more emphasize on the two components, namely, Natural Language Processing (NLP) and Digital Signal Processing (DSP). We have also reviewed some of the most popular generic frameworks like MBROLA, FESTIVAL, and FLITE that available in public domain for the development of a TTS synthesizer.
In-vitro cytotoxicity and Phytochemical Activity in Bryophyllum pinnatum

BACKGROUND: Plants and plant-based medicaments are the basis of many of the modern pharmaceuticals used for our various ailments ). Progress over the centuries towards a better understanding of a plant derived medicine has depended on two factors that have gone hand in hand. One has been the development of increasingly strict criteria of proof that a medicine really does what it is claimed to do and the other has been the identification by chemical analysis of the active compound in the plant. OBJECTIVE: present study aimed on the In vitro anti-cancer properties of Bryophyllum pinnatum kurz extrac ts by MTT cell line by A 549 (Lung Cancer cell line) and MCF7 (Breast cancer cell line) MATERIALS AND METHODS The plant extracts were analyzed for presence of Alkaloids, Flavonoids , Steroids, Terpenoids, Anthroquinones, Phenols, Saponins, Tannins and isolated compound analysed for for the anticancer activitity. RESULTS: The phytochemical investigations of Bryophyllum pinnatum extracts (hexane, ethyl acetate and hydroalcohol) revealed differences in their phytoconstituents and anticancer activity, of cancer cell line A 549. The extract was tested for concentrations of 60.5, 125, 250, 500 and 1000μg/ml. Higher cytotoxicity is seen in 1000μg/ml with a value of 90.1% and CTC50 in μg/ml is 206. CONCLOSION: The highest yield was obtained in hydroalcohol and least yield was found in hexane. The phytochemical investigations of Bryophyllum pinnatum extracts (hydroalcohol, ethyl acetate and hexane) revealed differences in their phytoconstituents. While comparing the phytochemicals present in Bryophyllum pinnatum extracts, hydroalcohol extract found to be more active than other two extract sample. Total antioxidant activity of hydroalcohol extract of Bryophyllum pinnatum, showed that hydroalcohol extract possess high antioxidant activity.
MYSTICAL STUDIES OVERCOMING EGOCENTRIC CONSCIOUSNESS AND TRANSFORMATION OF MAN AND SOCIETY

The object of the research in this article is a mystical phenomenon. The interest in the mystical phenomenon has been increasing in the conditions of the modern spiritual crisis in the face of national, religious, political, and other confl icts. One of the universal features of the mystical experience is a qualitative transformation of the mental life of a man. There are two direction vectors of mystical experience psychological (introvertive) and social (extravertive). At the heart of the mystical experience is a gradual transition from egocentric consciousness to enlightening, which contributes to the transformation of the human person. Mystical practice can be considered as “transegocentric” (“the one who overcomes the Ego”). The consequence is to educate a mental sane self-actualized person. Mystical traditions offer four basic methods of mystical psychopractice of overcoming egocentric consciousness: disciplinary asceticism, psychosomatic exercises, meditative contemplation and love-trust to the Absolute. Egocentric consciousness acquires several massive social forms: national, racial, religious, social, and others. Mystical experience presupposes tolerant relation to the representatives of another culture, religious confession and nationality. It sets the limits of tolerance, which is caused by the need to limit the egocentric consciousness.
Energy Efficiency for Data Center and Cloud Computing: A Literature Review

—Energy consumption cost and environmental effect are dynamic challenge to cloud computing. Data centers are the backbone of cloud computing. They continue to be challenging problems to energy efficiency. We investigated previous research based on energy efficiency approach and obtained the conditions to facilitate green cloud computing. Reducing energy consumption and emissions of carbon dioxide (CO 2 ) in data centers represent open challenges and driving the future research work for green data centers. It is found that there is an urgent need for integrated energy efficiency framework fordata centers which combines a green IT architecture with specific activities and procedures that lead to minimal impact on environment and less CO 2 emissions. The required energy efficiency framework should also consider the social network applications as a vital related factor in elevating energy consumption, as well as high potential for energy efficiency.
NZJHRM 2009 Special Issue: HRM & Performance

This paper examines the impact of management development system on firm performance through data collected from 146 organisations from four Asian countries and 584 organisations from six European countries. The analysis shows that the management development system is significantly associated with human resources outcomes (the firm‟s ability to attract and retain essential employees, and better inter-firm relationships), which in turn contributes to firm performance outcomes (improved product quality, product development and better customer satisfaction). Importantly, location (i.e., Asia versus Europe) and firm size (i.e., SMEs and Large) have significant effects on the management development system and human resources outcomes.
Jeyakumar Multi-Objective Evolutionary Algorithm Based Approach for Solving Rfid Reader Placement Problem Using Weight-Vector Approach with Opposition-Based Learning Method

For smart building applications, identifying and tracking the objects and people in and around a building is an inevitable problem. There exist many approaches for solving this problem. Nowadays, the RFID network based approaches have become most popular for its speed and accuracy. However, placing the RFID readers at optimal places in a building to cover all the areas in order to identify and track the objects and people is a cumbersome task. This paper proposes a model in which the RFID reader placement problem is formulated as a multi-objective optimization problem and also proposes an algorithmic framework to solve the same. The proposed algorithmic frame work consists of a multi-objective Differential Evolution algorithm which adds weights to each of the objective and also follows the opposition-based learning approach for initializing the populations. The results obtained in solving the RFID reader placement problem with proposed algorithmic framework is studied and reported in details for individual objectives, combined objectives with different schemes and for two different population initialization techniques.
Opinion Mining of Product Features with Customer

---With the fast growth in e-commerce, surveys for famous products on the web have grown rapidly. Although these reviews are significant in making decisions, it is difficult to read all reviews. Automation of emotion mining method was the well-known answer to the dilemma. Although there are algorithms for emotion mining, an algorithm with evolving accuracy is needed. An algorithm which extracts product traits from surveys based on traits frequency and generates a view on item traits is developed and tested on downloaded buyer review. The sentences were tagged, sentiment words were extracted and view orientations were identified using the semantic orientation of notion terms. The precision values for traits extraction and both precision and recall values for view orientation recognition were significantly improved by the proposed algorithm.