Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment for Learning revisited: an Asia-Pacific perspective

In March of this year, 2009, the Third International Conference on Assessment for Learning was held in Dunedin, New Zealand. Colleagues from Australia (4), Canada (6), Europe (5), New Zealand (7), United Kingdom (5) and the United States of America (4) met to advance the understanding and practices of Assessment for Learning at all levels of education. An important outcome of this meeting was a position paper on Assessment for Learning (AfL) that has been reproduced with permission in this editorial because of its significance to a recurrent theme of the majority of the articles published in this special Asia-Pacific issue of the journal. The text of this statement is set out in italics below.
SURVEY OF HEART DISEASE PREDICTION BASED ON DATA MINING ALGORITHMS

The medical field is dealing with huge amount of data regularly. Handling that large data by traditional way may affect the results. Advanced data mining techniques are used to find out facts in database and for medical research, particularly in Heart disease prediction. Heart disease is the leading cause of death all over the world. The massive amounts of data generated for prediction of heart disease which is too difficult and baggy to be processed and analyzed by conventional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. Use of data mining algorithms will result in quick prediction of disease with high accuracy. In this paper we survey different papers in which single or hybrid combination of data mining algorithms are used for the prediction of heart disease, so that we can identify the algorithms with high accuracy for further research.
BOVINE MASTITIS : A REVIEW

Bovine mastitis is a disease complex which occurs in acute, gangrenous, chronic, and subclinical forms of inflammation of the bovine udder, and is due to a variety of infectious agents. Animal care, hygiene, and management are important factors in this dairy cow disease of great economic importance. Mastitis continues to be the most costliest disease of dairy animals affecting the entire Dairy industries throughout the world. With overuse of antibiotics in bovine mastitis and continuing appearance of antibiotic-resistant bacteria, search for alternative substances for antibiotics is imminent. Over time, some bacteria have developed ways to dodge the effects of antibiotics. Widespread use of antibiotics is thought to have made evolutionary changes in bacteria that allow them to survive these powerful drugs. With many of the antibiotics already being used in bovine mastitis are also used in human medicine, and with the way antibiotic resistant bacteria can easily transfer their resistance traits to unrelated bacteria once inside the human body, this can be a major problem we have to face in the near future. Therefore, the bacteriocins produced by micro organisms may represent new antimicrobial peptides with potential applications in the prevention and treatment of bovine mastitis. Recent focus on managing subclinical mastitis and minimizing antibiotic use in food animals has led to a renewed interest in evaluating bacteriocins as a tool in managing mastitis. In this review we have focus on the overview of mastitis, direct and indirect measures corresponding to the diagnosis of infection, bacteriological analysis of milk and exhaustive information on infected quarters, pathogen involved, pathogenesis of the mastitis in dairy cows, existing antibiotic treatments and function of bacteriocin. An extensive review is also made on mastitis applications that exploit their attributes, potential drawbacks in their use, and current status of bacteriocinbased mastitis products, possible alternative for application of bacteriocins from bacteria in the prophylaxis, treatment and prevention of this disease.
The role of radiation therapy in patients with primary and metastatic liver tumours

wania leczenia oraz systemach stabilizujących pozycję chorego i zapewniających powtarzalność wiązki terapeutycznej sprawił, że radioterapia konformalna (RK) i jej bardziej zaawansowana technologicznie odmiana, jaką jest radioterapia stereotaktyczna (RS), znajdują coraz szersze zastosowanie w leczeniu chorych z pierwotnymi i przerzutowymi guzami wątroby. Zarówno w RK, jak i RS wykorzystuje się szeroki zakres dawek całkowitych i różnorodne sposoby ich frakcjonacji. Wyniki uzyskane za pomocą RK/RS lub w ich skojarzeniu z embolizacją cytostatykami podanymi do tętnicy wątrobowej (ECTW) są lepsze w porównaniu z wynikami uzyskanymi w kontrolnych seriach historycznych, gdzie standardem postępowania była samodzielna ECTW. Obserwacja ta wymaga jednak potwierdzenia w badaniach klinicznych z randomizacją. Dobre wyniki RK i RS wyrażają się wysokim odsetkiem kontroli miejscowej, dobrym efektem przeciwbólowym (w leczeniu paliatywnym), jak również wysoką – jak na tę sytuację kliniczną – medianą przeżycia leczonych. Najlepsze rokowanie odnotowano u chorych, którym podano wysokie dawki.
Spam Review Detection through Lexical Chain Based Semantic Similarity Algorithm (LCBSS) for Negative Reviews

— The negative spam reviews are more harmful for hotel services because the impacts of negative information are faster and greater, than positive information. The sentiment analysis for detection of spam review is not effective in today scenario because for making new spam review, the spammers instead of copying exact texts; they are combining two or more text which contains the same sentiment. The spammer used synonyms, morphological words and also shuffled some word to create new negative spam review. In this paper, we have proposed Lexical Chain Based Semantic Similarity (LCBSS) algorithm which gives better accuracy, when compared with the Bag-of-Word (BOW) model and baseline-[1] method. The Proposed LCBSS algorithm has generated feature vector which is used as input to ten supervised algorithm. Amongst ten supervised algorithm, Support Vector Machine (SVM) gave 99.75% accuracy which is the highest accuracy up-till now.
Smiling and use of first-name by a healthcare receptionist robot: Effects on user perceptions, attitudes, and behaviours

Abstract Robots are now starting to be developed and used as receptionists in health applications. In this regard, it is important that robots’ behavioural skills are developed and researched so that people have appropriate and comfortable interactions. Smiling and use of first name are two more important social communication skills used during human interactions. While smiling and use of first name are often employed by robots in human interactions, the effect of these behaviours on perceptions of receptionist robots has not yet been experimentally investigated. This study explored the effects of robot smiling and robot use of the participant’s first name on perceptions of robot friendliness, mind, and personality, as well as attitudes and smiling behaviour. Forty participants interacted with a medical receptionist robot four times, in a two by two repeated measures design. Both smiling and use of first name had significant positive effects on participants’ perceptions of robot personality. Robot smiling also showed significant effects on participants’ overall attitudes towards robots, ratings of robot friendliness, and perceptions of the robot’s mind, and increased the frequency of participants’ own smiling. There were no significant interaction effects. Robot smiling in particular can enhance user perceptions of robots and increase reciprocal smiling.
Modern approach to diagnosis of inherited platelet function disorders

Inherited platelet function disorders (IPFD) comprise a heterogeneous group of diseases. Their real frequency is probably underestimated as in many patients with excessive subcutaneous and mucosal bleedings the disorder has not been recognized. The presented diagnostic recommendations are based on a systematic review of the scientific literature and describe the role of platelets in the clotting process and the most common congenital disorders of platelet function. A diagnostic algorithm for clinical and laboratory stepwise management of patients with IPFD is presented.
PATHOGENIC STUDIES OF METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS ISOLATES FROM BIOMEDICAL WASTES

Staphylococcus aureus is naturally present in the nasal membranes and skin of warm blooded animals including human beings. It can grow in aerobic and anaerobic conditions, forming grape-like clusters. It causes a range of infections from mild, such as skin infections and food poisoning to life threatening, such as pneumonia, sepsis, oseteomyelitis and infectious endocarditis. Methicillin Resistant Staphylococcus aureus (MRSA) isolated from clinical samples, band aid, cloth and cotton collected from hospitals and clinical laboratories in various parts of Tamilnadu. All MRSA isolates were transferred to nutrient agar containing 5% sodium chloride and 3 gm of oxacillin antibiotic. MRSA isolates were properly diluted with sterile saline and injected to tail vein of mice. After 14th day mice were dissected, liver and kidneys were selected for histopathological studies. MRSA injected mice group showed different pathogenic characters like lesions, white coloured patches, cellulitis and necrosis when compared with control group.
Study of Epidemiological Profile and Analysis of Platelet Count of Dengue Cases

The disease is caused by dengue virus which gets transmitted to humans by the bites of infected mosquitoes, Aedes aegypti and Aedes albopictus (Tang et al., 2012). The incidence of dengue has grown dramatically around the world in recent decades (http://www.who.int/mediacentre/fact sheets /fs117/en/). One recent estimate indicates 390 million dengue infections per year, of which 96 million manifest clinically (with any severity of disease) (Bhatt et al., 2013).
Feature Extraction Methods LPC, PLP and MFCC In Speech Recognition

: The automatic recognition of speech, enabling a natural and easy to use method of communication between human and machine, is an active area of research. Speech processing has vast application in voice dialing, telephone communication, call routing, domestic appliances control, Speech to text conversion, text to speech conversion, lip synchronization, automation systems etc. Nowadays, Speech processing has been evolved as novel approach of security. Feature vectors of authorized users are stored in database. Speech features are extracted from recorded speech of a male or female speaker and compared with templates available in database. Speech can be parameterized by Linear Predictive Codes (LPC), Perceptual Linear Prediction (PLP), Mel Frequency Cepstral Coefficients (MFCC) PLP-RASTA (PLP-Relative Spectra) etc. Some parameters like PLP and MFCC considers the nature of speech while it extracts the features, while LPC predicts the future features based on previous features. Training models like neural network are trained for feature vector to predict the unknown sample. Techniques like Vector Quantization (VQ), Dynamic Time Warping (DTW), Support Vector Machine (SVM), and Hidden Markov Model (HMM) can be used for classification and recognition. We have described neural network in our paper with LPC, PLP and MFCC parameters.
Implementation of Time and Method Studies for Improvement Continues in Productive Efficiency of the Mini System Production Line

This article discusses the relevance of implementing a proposal that aims to apply the study of times and methods in the production line of the Mini System, a device that promises a sound with more power, quality and functionality produced by a company from Manaus Industrial Polo. The overall objective is to show that by calculating production times and methods it is possible to increase the company's capacity and reduce labor. The specific objectives are: to map the productive process; measure operation cycles, through time and production lead time; identify bottlenecks and constraints; identify losses; and propose improvement actions. Therefore, the methodology used was a biographical research, carried out through systematic studies in books, articles and websites; This was followed by field research through data collection in the Mini System assembly operation, focusing on the analysis of the total time spent on the production line. The results achieved with the study were put into practice, showing positive changes in efficiency, increased production, reduced labor and financial savings.
“E-€katrit”-An Android App as a Common Platform for Multiple Types of Donation

: Serving for the general public through specialized and programming aptitude. Our application comprises of use of left over stuff or item which can be used by poor one. We will incorporate private individuals, hospitals, education foundations, eatery and so on which can help individuals like halfway house home, seniority home, and society help required individuals by their left over stuff. Everybody who needs to give left over stuff can enroll in this site. The general population who needs to give anything need to transfer points of interest on site. According to subtle elements we will send vehicle to get stack and send it to penniless individuals. Consequently individuals will help individuals and serve for advancement of society. As we are seen that there is a few NGO whose sites are working for a specific thing like eye gift, blood gift, training, old - age individuals, kids and so forth. Yet, we are outlining a site which contain all things in just a single site that is the reason our site is called as "e -€katrit". Our application will be the total tolerating stage for the things which individuals need to give without login into another destination. Likewise our site comprise of various required rundown from numerous NGO which will acknowledge our client's gift. Alo ng these lines, that our client will have full confidence in us that we are not making any illicit utilization of their donation stuff. Our client will have the full track of their package. Consequently there is no compelling reason to go for a specific site for a specific gift; anybody can give every one of the things here by choosing their classifications according to the client's necessity which is valuable for benefactor.
A Review Paper on Face Detection and Recognition in Video

: The intention of this paper is to review various face detection and recognition methods, sort them into different categories and distinguish innovative trends. In this connection the face detection and recognition in video streams is the foremost significant step of information drawing out in many computer vision and image processing applications. Detecting and recognition of face in video stream in generally being a challenging problem, provides an enormous attention for recognition, classification, and activity analysis, making these later steps more efficient. Naturally, assumptions are made to constrain the detection and recognition problem in the perspective of a particular application. In this survey, investigation of many existing schemes in the literature of recent developments and general strategies of all these stages are done and limitations of the various methods and outline promising directions of research are discussed.
SOCIO-CULTURAL FACTORS INFLUENCING CHILD NUTRITION AMONG MOTHERS IN CALABAR MUNICIPALITY, CROSS RIVER STATE NIGERIA

Purpose: This study was carried out to assess the socio-cultural factors influencing child nutrition among mothers in Calabar Municipality, Cross: River State Nigeria. In order to successfully carry out the study, objectives and corresponding hypothesis'were formulated to guide the study. Literature was reviewed based on the research variables, Methods: A cross-sectional descriptive survey design was used for the study in Calabar Municipality, Cross River State. A simple random sampling technique was used to select 5 communities from the L.G. A. for the study and snowball non-probability sampling techniques was used to select the subjects for the study. The target population was unknown; a sample size of 376 was determined using Golden formula for infinite population. Their responses were analyzed using frequencies, percentage and Chi-square analysis and the following results were obtained. Result: The study reveal that majority of the respondents believed that feeding children with egg, meat and fish makes them thieves with mean value response of 3.48 and 3.53 respectively while majority also disagreed with stopping breastfeeding in the advent of a new pregnancy with mean value score of 2.03. majority also disagreed that their cultural practices had influence on the nutritional status of their children with a mean response value of 1.82 but the grand mean score of 2.77 and SD score of 0.64 which is greater than the criterion mean of 2.5 confirms that religious and cultural practices has an influence on the nutritional status of children. Conclusion: Socio-economic status of the family like the occupation of breadwinner, the person who controls the finance, and poor living conditions (inadequate water supply, inadequate sanitations), with a grand mean score of 2.91 has a negative influence on the nutritional status of children.
A theoretical cell-killing model to evaluate oxygen enhancement ratios at DNA damage and cell survival endpoints in radiation therapy

Radio-resistance induced under low oxygen pressure plays an important role in malignant progression in fractionated radiotherapy. For the general approach to predict cell killing under hypoxia, cell-killing models (e.g. the Linear-Quadratic model) have to be fitted to in vitro experimental survival data for both normoxia and hypoxia to obtain the oxygen enhancement ratio (OER). In such a case, model parameters for every oxygen condition needs to be considered by model-fitting approaches. This is inefficient for fractionated irradiation planning. Here, we present an efficient model for fractionated radiotherapy the integrated microdosimetric-kinetic model including cell-cycle distribution and the OER at DNA double-strand break endpoint (OERDSB). The cell survival curves described by this model can reproduce the in vitro experimental survival data for both acute and chronic low oxygen concentrations. The OERDSB used for calculating cell survival agrees well with experimental DSB ratio of normoxia to hypoxia. The important parameters of the model are oxygen pressure and cell-cycle distribution, which enables us to predict cell survival probabilities under chronic hypoxia and chronic anoxia. This work provides biological effective dose (BED) under various oxygen conditions including its uncertainty, which can contribute to creating fractionated regimens for multi-fractionated radiotherapy. If the oxygen concentration in a tumor can be quantified by medical imaging, the present model will make it possible to estimate the cell-killing and BED under hypoxia in more realistic intravital situations.
Clinical immunology Distribution of leukocyte and lymphocyte subsets in peripheral blood. Age related normal values for preliminary evaluation of the immune status in Polish children

Determination of the relative and absolute numbers of various lymphocyte subsets is currently considered significant for diagnosis and monitoring of various pathological inborn, as well as acquired immune-related conditions. The purpose of this study was to establish reference values of basic leukocyte and lymphocyte subsets for pediatric population in Poland useful for accurate interpretation of results in children with inborn and acquired disorders of immunity. The study was performed on whole cord and peripheral blood samples from a group of 292 healthy newborns and children from very narrow age groups. Multicolor flow cytometry, lyse-no-wash approach, and single platform technology were applied for the determination of distribution of T lymphocytes, their helper and suppressor subsets, B lymphocytes and NK cells. Additional information on maturation of T lymphocytes was obtained from the distribution of helper and suppressor T lymphocyte subsets expressing RA and RO isoforms of the CD45 molecule. Tremendous changes in the immune system encountering new antigens and gradually acquiring the ability to respond to that challenge were found during the first year of life. Variation in relative sizes of individual cell populations was found not to be directly consistent with the variation in absolute counts. Results of the study provide a useful tool for the interpretation of clinical and laboratory data obtained from the patients with suspected primary immune deficiency.
Viral Vectors, Animal Models, and Cellular Targets for Gene Therapy of Cystic Fibrosis Lung Disease.

After more than two decades since clinical trials tested the first use of recombinant adeno-associated virus (rAAV) to treat cystic fibrosis (CF) lung disease, gene therapy for this disorder has undergone a tremendous resurgence. Fueling this enthusiasm has been an enhanced understanding of rAAV transduction biology and cellular processes that limit transduction of airway epithelia, the development of new rAAV serotypes and other vector systems with high level tropism for airway epithelial cells, an improved understanding of CF lung pathogenesis and the cellular targets for gene therapy, and the development of new animal models that reproduce the human CF disease phenotype. These advances have created a preclinical path for both assessing the efficacy of gene therapies in the CF lung and interrogating the target cell types in the lung required for complementation of the CF disease state. Lessons learned from early gene therapy attempts with rAAV in the CF lung have guided thinking for the testing of next generation vector systems. Although unknown questions still remain regarding the cellular targets in the lung that are required or sufficient to complement CF lung disease, the field is now well positioned to tackle these challenges. This review will highlight the role next-generation CF animal models are playing in the preclinical development of gene therapies for CF lung disease and the knowledge gaps in disease pathophysiology these models are attempting to fill.
Determination of Fractional Chromatic Number on Two Different Graphs of Amalgamation Operation

The main problem in vertex coloring is how to color each vertex on a graph so that no two adjacent vertices have the same color. Fractional coloring is a double coloring at vertices of different colors where the adjacent vertices have different colors. In operations on the graph, one of them is known as amalgamation operation. Amalgamation in the graph is divided into two, namely vertex amalgamation and side amalgamation. Coloring vertex can be applied to the graph which is the result of the operation of some special graphs. Amalgamation operation is to combine the vertices or sides of each graph to form a new graph. In this case, the resulting amalgamation graph will produce the same fractional chromatic number with one of the fractional chromatic figures of the graph prior to be amalgamated.