Miracle-dz/UniFAR-FTUs huggingface dataset:
VARIATION OF COGNITIVE SKILL ON AGE AND SEX OF PRIMARY SCHOOL CHILDREN OF WEST BENGAL

The cognitive growth of the children is an important phenomenon along with the physical growth. The purpose of the present study was to investigate the influence of age and sex on visuospatial function and the ability of learning and memory among 5-10 years school going boys and girls. A cross-sectional study was conducted on 905 school going children of which 445 was boys and 460 was girls from different districts of West Bengal state, India. Visuospatial ability of the children were evaluated by Picture completion test (PCT). The Learning ability of the participants was evaluated by Ray's auditory verbal learning test (RAVLT). The result showed that performances of visuospatial skill increases with the advancement of age in both sexes but the performances of boys were significantly (p<0.001) greater than that of the girls. The results of RAVLT revealed that the 5 years old boys and girls recalled significantly lesser words on each of the learning trials and showed significantly lower learning score compared to that of older boys. It was also found that performances of girls were significantly greater than that of the boys. Age was significantly (P<0.001) and positively correlated with verbal learning and memory, and visuospatial scores of both boys and girls. Multiple regression analysis demonstrated that even after controlling the effect of the height, weight, BMI and socioeconomic status the age had strong significant impact on visuospatial skill (PCT) learning of trials (LOT) and recognition (REC).
IMPACT OF THE LARYNX MOVEMENTS ON THE PROTECTION OF AERIAL WAYS DURING THE DEGLUTITION

Introduction: Deglutition, an essential act for the body’s nutrition and hydration, is performed through a coordinated sequence of complex and interlinked neuromuscular events. This requires precise coordination among its phases, which will favor deglutition with no food or saliva entering the airways. Aim: This study aims to analyze the laryngeal movements during deglutition and to verify its impact on airway protection. Methods: This is a descriptive retrospective study approved by Ethical Committees in Research under protocol numbers 2013/008 and 362.826 that analyzes an image database from the correlation of two assessors, whose study objects are laryngeal movements during deglutition and the outcome of airway protection quality. Fifty-two deglutition video fluoroscopic swallowing studies were analyzed, 26 from males and 26 from females with average age of 76 years. The exams were carried out over one year at a Radiology and Imaging Service in a Primary Health Center, where two independent assessors evaluated laryngeal movements during deglutition, presence of dysphagia, and airway protection quality with liquid and pasty consistencies. Results: The assessors agreed in all analyzes performed. Among the statistically significant laryngeal movements, inappropriate laryngeal elevation and anteriorization, i.e., lack of anteriorization, reduced elevation, and incomplete and repeated laryngeal elevation, were the most harmful for airway protection. Conclusion: The impact of the lack of or inappropriate laryngeal elevation and anteriorization movements affect the deglutition process and promote laryngeal penetration and tracheal aspiration, which leads to dysphagia.
Clinical Findings and Management of Imported Cutaneous Leishmaniasis- Presentation of 8 Cases from Poland with a Review of Current Knowledge about Leishmaniasis

Background: Leishmaniasis is a frequent parasitic disease in the world, caused by protists of Leishmani genus and transmitted by Phlebotomusspp. and Lutzomyia spp. sandflies. It is a relatively unknown and uncommon disease on our continent therefore it remains a diagnostic and therapeutic challenge for European physicians. There are two clinical forms of the disease that can be distinguished: cutaneous and visceral leishmaniasis. Aim of the study was to expand the knowledge about cutaneous leishmaniasis among physicians and to show that patients with leishmaniasis can be found in any country due to globalization. Case presentation: Laboratory results of patients infected with cutaneous leishmaniasis and a clinical course of this disease have been presented. 8 patients infected with cutaneous leishmaniasis were treated in the Department of Tropical and Parasitic Diseases in Gdynia, Medical University of Gdansk in the years 2005-2013. All of them were admitted with symptoms lasting at least several months prior to the admittance. Satisfactory results were obtained with the applied treatment. Conclusions: Cutaneous leishmaniasis is a rare finding in Poland, and diagnosis and treatment of the disease are hampered by poor knowledge about the disease among physicians and laboratory staff, as well as lack of registered antimony-based drugs in Poland. The problem of misdiagnosis and, as a consequence, inappropriate treatment of cutaneous leishmaniasis persists also in other European countries as well as Canada and the United States. According to the literature, almost every case of leishmaniasis in these countries was initially treated inappropriately and time to definite diagnosis usually took several weeks.
Isatin-Mediated Synthesis and Characterization of Silver Nanoparticles

The present study discloses the synthesis of silver nanoparticles using isatin by different methods such as (i) at room temperature, (ii) variation of concentration of silver nitrate, (iii) variation of pH, (iv) at higher temperature, (v) by sonication method and (vi) solar method. Among all these methods solar method and sonication methods yielded nanoparticles quickly and easily. The synthesized silver nanoparticles were of average size 82 nm. Silver nanoparticles formed were analysed by UV-Visible spectroscopy (UV-Vis), Fourier Transform Infrared Spectroscopy (FTIR), X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM).
Score Fusing In a Multimodal System

: Biometrics consists of techniques for identifying persons based upon one or more intrinsic physical or behavioral traits. A system which is based only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Multimodal biometrics is an emerging field of biometric technology, where more than one biometric trait to improve the combined performance. This paper presents a new approach to combine decisions from face and fingerprint classifiers for multi-modal biometry by exploiting the individual classifier space on the basis of availability of class specific information present in the classifier space. This system takes advantage of the capabilities of each individual biometrics. It can be used to overcome some of the limitations of a single biometrics, increases the performance and robustness of identity authentication systems. In this context, a key matter is the fusion of a two different modality to obtain a final decision of classification. We propose to evaluate a binary classification schemes: support vector Machine to carry on the fusion. The experimental results show that merging multiple biometrics can help to reduce the error rate of the system.
The Role of an Information Retrieval in the Current Era of Vast Computer Science Stream

-The modern era of search technology has changed the way the information searched and retrieved compared to the previous decade of search engines. Today’s search engine has evolved as a way of shifting the locus of control over information dissemination closer to the consumers of that content. Information retrieval being a vast field, has many application related to it. In this paper we analyze various fields in which IR is being used as an application. We divide the application into seven categories; they are Communication, Databases, Natural Language Processing
ECG Enhancement and Heart Beat Measurement

: The following paper deals with the detailed study and analysis of ECG signal enhancement by the means of MATLAB tool effectively. Study of ECG signal includes generation & simulation of ECG signal, acquisition of real time ECG data, ECG signal filtering and pre-processing, feature extraction, analyzing different ECG signal analysis algorithms & techniques (i.e. Wavelet transform or so), detection of any abnormalities in ECG by calculating beat rate and using the most familiar and multipurpose MATLAB software. This project has been inspired by the need to find an efficient method for ECG Signal Analysis which is simple and has good accuracy and less computation time. The initial task for efficient analysis and enhancement is the removal of noise. It actually involves the extraction of the required cardiac components by eliminating the background noise. Enhancement of signal is achieved by the use of smooth function. The other task to detect R-peak of ECG waveform is achieved by using Discrete Wavelet Transform. And an extensive algorithm is required for the measurement of heart rate (beats per minute). The simulation is done in MATLAB environment and making a graphical user interface for it.
INTEGRATION OF CORPORATE SOCIAL RESPONSIBILITY (CSR) INTO CORPORATE GOVERNANCE: NEW MODEL, STRUCTURE AND PRACTICE: A CASE STUDY OF SAUDI COMPANY

This paper seeks to explore the integration of corporate social responsibility (CSR) into corporate governance (CG) structure and system. To obtain this objective, this paper firstly reviews the extensive literature of CG and CSR. Second, it investigates the conception and understanding of interrelationship between CG and CSR within case study context of petrochemical company operates in Saudi Arabia. A qualitative case study was adopted by conducting in-depth interviews with participants at various levels of board and management in petrochemical company operates in Saudi Arabia. The findings suggested that the majority of participants consider CG as an essential foundation for sustainable CSR activities. The significance of the findings can be found in the fact that the previous trend of focusing solely on CG in developing countries has been reverted and more attention is dedicated to CSR. The current study contributes to existing body of CSR and CG literature by presenting the new CSR governance model. Two important implications can be found in this study. At organizational level, board members and managers can improve the corporate policy and practice in context of engaging with stakeholders. At the national level, the policy makers within developing countries can build on the conclusion drawn in this paper and enhance capacities of their regulatory and judicial systems to protect stakeholder’s interest.
Mammographic image Classification using Gabor Wavelet

— Breast cancer is the most common type of cancer in women. Mammography is used for early detection and diagnosis of breast diseases. This system is developed for classification of digital mammograms as Benign or Malign. The proposed system can be divided into various phases as preprocessing, feature extraction, and classification. The preprocessing takes an image and perform image enhancement using histogram equalization and median filter to remove noise and unwanted text written on it. Then feature extraction phase extracts the most prominent and distinguishable features from objects and images which further can be used to represent various classes of objects. Gabor wavelet features are given as an input to classifier that assigns them to the class that they represent. After extraction of desired features Principal Component Analysis (PCA) is used for dimensionality reduction. Then extracted features are fed to Support Vector Machine Classifier which classifies the images into normal or abnormal (benign or malignant) images. The system output is checked on the database of 322 images, originating from the MIAS database.
Uterine contractions in non-pregnant and pregnant state The non-pregnant uterus is not a quiescent

70  Abstract— Uterine contractions are important in many reproductive functions including the transport of sperms and embryo, menstruation, pregnancy and parturition. Improper or irregular uterine activity may underlie the common pathological disorders such as infertility, improper implantation, preterm labor, and weak uterine contraction during labor. In addition, successful labor is controlled by the coordinated activity and harmony between the uterine smooth muscle cells. If however, this activity becomes too weak or strong, normal labor may not be progressed which could lead to fetal morbidity and mortality. Uterine contraction is generated by shortening of uterine smooth muscle cells. Calcium ion is the key regulatory factor for this contraction to occur and its influx into the cell is initiated predominantly by depolarization of myometrial cell membrane. The transient increase in intracellular calcium concentration initiates cycles of myometrial contraction and relaxation. Basically, uterine contraction depends heavily on intracellular calcium concentration and any alteration of this concentration could affect the strength of uterine activity. This review presents an overview of the physiology of myometrial contraction and the role of calcium ions during contraction and relaxation.
Retained Placenta: Causes and Treatments

Retained placenta is defined as the failure to pass all or part of the placenta from the uterus within 24 hours of calving. There are several potential causes for placental retention but the effects on the general health of the cow and her subsequent reproductive performance are costly events to the dairyman. The following data include both obvious cases of retained placenta and those of cows sick with metritis with or without obvious placental retention. Retained placenta or metritis requiring systemic therapy occurs in 11 to 18 % of calvings (1, 5, 13, and 16). Cows with toxic early lactation metritis may die and the case fatality rate was estimated from our records at 1% and reported to be 1.5% in 29 California herds (7). Cows not achieving economical milk production and culled due to RP was estimated to occur in 6% of cases (1). We estimate that veterinary examination and treatment occurs in 10% of cases. The time required for veterinary effort was estimated at . 25 h. Treatment with systemic antibiotics occurs in 75% of cases (our estimate) with a drug cost of $15. Farmer labor required for daily evaluation and the course of treatments was estimated to be 10 minutes per day for 4 days or . 67 h. Bartlett (1) reported average milk discard for 7 d and a total of 102 kg. Milk not made due to RP was estimated to be 265 kg by DeLuyker (3) and 120 kg by Bartlett (1). The authors selected 250 kg milk loss due to RP. Delay in conception after RP has been reported to be 12 d by Halpern (9), 7 d by van Werven (16), 32 d by Borsberry (2), 19 d by Martin (11), and 12 d by Bartlett (1). The authors estimate that 15 d delay in conception is typical.
International Journal of Emerging Trends in Engineering and Development Issue 6, Vol. 1 (January 2016) Available online on http://www.rspublication.com/ijeted/ijeted_index.htm ISSN 2249-6149

Analyzing the retinal images is very helpful to diagnose the human eye diseases like Retinopathy and to interpret various problems in medical field. Retinal images quality is usually contaminated by noise and other illumination condition. In order to enhance the quality of retinal images focus should be made on contrast enhancement and noise removal. The best known technique for effective contrast enhancement is Unsharp masking technique. In this paper we will use Genetic Algorithm with multi-objective function for efficient retinal image enhancement. First the random chromosomes will be initialized using heuristic approaches and then perform adaptive crossover and mutation. Finally results are analyzed using performance measures. Keywords—Contrast Enhancement, Genetic Algorithm, Retinal Imaging, Unsharp Masking.
Towards A New Token Based Framework for Record Linkage in Arabic Data Set

Record linkage is the process of identifying if two records represent the same real entity or not. Record Linkage is one of the most important and most investigated issue in data quality literature. Most of the current researches have been applied on English context and these researches didn’t mention the required modifications in order to be applicable in other contexts like Arabic context. Applying record linkage algorithms on Arabic context is a challenging task due to the unique characteristics of Arabic language in terms of its morphological and orthographical features. This paper proposed a token based framework for record linkage in Arabic data set. In our framework we use a new technique for Arabic name tokenization and use a new approach for similarity computation.
MRI Image Segmentation Using Shannon and Non Shannon Entropy Measures

Image Segmentation is a vital tool in medical field that enable professionals to detect their patient’s problems and help them to get proper diagnosed. In this article, an entropy based approach for image segmentation is discussed to highlight tumour in MRI images. Magnetic Resonance Imaging (MRI) is a process, in which pixel values are based on radiation absorption. In the proposed approach we have selected threshold values on the basis of different entropy measures such as Shannon, Renyi, Harvard Charvart , Kapur and Vajda entropy measures to segmentize an MRI image indicating tumour. The gray level co-occurrence and probability matrix are utilized as basis functions for proposed methodology. Simulation results for different entropy measures depicts that Non Shannon Entropy measures give more promising results as compared to classical Shannon based approach, thus can be used to detect human body tumours using MRI images.
DGPPIsAS :A Dynamic Global PPIs Alignment System

In the view of Computational Biology, Computational Chemistry, Chemical Engineering, Molecular Biology, Biochemistry and Genetics Engineering, investigating proteins networks of separate species in a significant way is definitely one of the most important problems in ongoing evolutionary and systems biology research and experiments. PPIs networks enable to check the sequence of proteins in a unique fashion. Dynamic PPIs Alignment System (DPPIsAS) is an algorithm based system that enables to find out the proteins associated in a certain network. DPPIsAS used Protein Road Discovery (PRD) to determine the similar proteins that shares the interactions. After PRD, Protein Road Maintenance (PRM) is assured under several steps. How the proteins interact is checked by Canonical Correlation Analysis (CCA). Finally, the results are depicted based on the closeness, betweenness, average distance, and degree and edge betweenness.
Somatic embryogenesis of medicinally important herb Centella asiatica L

Received: 16-01-2017, Revised: 01-03-2017, Accepted: 02-03-2017 Centella asiatica is a small herbaceous plant belonging to Apiaceae (Umbelliferae) family. This paper reports the induction of somatic embryogenesis. An efficient protocol was designed for successful regeneration of Centella asiatica (L.) from In vitro derived callus through somatic embryogenesis. Leaf explants were isolated and cultured on MS medium fortified with 0.5,1.0,1.5 & 2.0 mg/l 2,4D. The callus formed, compact, light green to greenish coloured. It was observed that the increased concentration of 2,4D induced the formation of embryoids. Some differences in the morphology of callus such as changes in the colour and texture was also observed with increasing the concentration of 2,4D. Maximum frequency of callus induction was noticed on 2.0 mg/l 2,4D. The calli were separated and further cultured on fresh media containing BAP alone and in combination with auxins such as NAA and IAA. The maximum shoots were recorded on KIN & BA 1.5, 2.0mg/L with combination of 0.2 mg/l IAA and NAA. The well regenerated healthy micro shoots were separated and transferred to rooting medium for rooting. MS medium supplemented with IAA 2.0, mg/L & NAA 2.0 showed maximum rooting frequency. The well rooted plants were transferred to field conditions.
RESEARCH AND OPTIONS OF PRACTICAL SOLUTION OF SOFTWARE SYSTEMS COMPATIBILITY PROBLEM

: This paper provides the results of the study on definition of a software conceptual scheme designed for automation of a process of original application code migration into the current versions of libraries used there. The basic artifacts involved in this process were found. The architectural requirements for the software which supports an application source code migration between different versions of libraries are developed. Specifications, functions and interactions between the main components of the software considered are represented
Effectiveness of Manual therapy followed by Active Exercises to improve the Functional Ability of Women with Neck Pain

Objective: The purpose of this study was to observe the effectiveness of manual therapy followed by active exercises to improve the functional ability of working and non-working women with neck pain. The results of this study would indicate to physiotherapist about treatment plan, used for the treatment of neck pain that would potentially increase the cervical range of motion and / or decrease pain experienced by the patient, improving the functional ability to work for their activities of daily living and leading to a more effective treatment protocol. The outcome of the study will help physiotherapist to select more appropriate treatment for patients based on the outcomes and clinical findings.
Big Data Analytics In Clinical Data using Multi Keyword Search

data to to cloud servers online– this achieves convenience and also reduces data management expenditure. To ensure privacy, data of a sensitive nature needs encryption before outsourcing. This renders impossible usual data recovery methods such as keyword - based document recovery. We study Big Data Analytics in clinical data employing multi – keyword search, which also supports active update operations such as document removal and addition. To be more specific, we build an index tree that is founded on the sculpture of vector space to search multi - keywords; this supports flexible update operations. In addition, cosine similarity measures are used to support the precise ranking of results emerging from the search. We proceed to formulate a search algorithm – this relies on a Greedy Depth-first strategy -to improve search efficiency. Clinical data experiments demonstrate the efficacy of the proposed scheme.
China-Nigeria Economic Relation Greater Resource Management f

The paper examines the relationship that exists between China and Nigeria on economic lines, looking at trade and investment as points of departure. Using the descriptive qualitative research as a method, findings show that, the Beijing consensus works in bringing infrastructure in Africa and paves further ways for Chinese to invest in Nigeria. The paper concludes that, such investment has boosted trade between the two nations and brought about development in such area. The paper recommends opening up and providing more enabling environment by Nigeria for such economic relations to perpetuate.