Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Hiearachical Clustering and Naive-Bayes Nearest-Neighbor For Image Classification

This paper addresses the problem of image classification, which has successful applications in many fields, such as image retrieve, object detection and recognition. As a simple nonparametric methods, NaiveBayes Nearest-Neighbor(NBNN) employs NN distances in the space of the local image descriptors and computes direct ‘Image-to-Class’ distances without descriptor quantization. However, the high compute cost is the severe bottleneck for the generation of NBNN, which is particular for large scale image classification. Under the naive bayes assumptation (the local features are considered i.i.d.), this paper combines hierarchical clustering with Naive-Bayes nearest-neighbor for image classification, which provides high scalability to the tradeoff between accuracy and efficiency. Furthermore, this paper proposes the scheme of category cutting, which could improve the test speed at the cost of little accuracy dropping, which is particularly efficient for large scale image classification. Experiments showed that our scheme is the most efficiency among LSH, kd-tree, and linear search algorithms. Keywords-Naive Nearst Neighbour Classifier; image classification;Imageto-Class distance hierarchical clustering; category cutting ;
PERFORMANCE ANALYSIS OF BREAST CANCER CLASSIFICATION USING DECISION TREE CLASSIFIERS

Breast cancer is one of the dangerous cancers among world’s women above 35 y. The breast is made up of lobules that secrete milk and thin milk ducts to carry milk from lobules to the nipple. Breast cancer mostly occurs either in lobules or in milk ducts. The most common type of breast cancer is ductal carcinoma where it starts from ducts and spreads across the lobules and surrounding tissues. According to the medical survey, each year there are about 125.0 per 100,000 new cases of breast cancer are diagnosed and 21.5 per 100,000 women due to this disease in the United States. Also, 246,660 new cases of women with cancer are estimated for the year 2016. Early diagnosis of breast cancer is a key factor for long-term survival of cancer patients. Classification plays an important role in breast cancer detection and used by researchers to analyse and classify the medical data. In this research work, priority-based decision tree classifier algorithm has been implemented for Wisconsin Breast cancer dataset. This paper analyzes the different decision tree classifier algorithms for Wisconsin original, diagnostic and prognostic dataset using WEKA software. The performance of the classifiers are evaluated against the parameters like accuracy, Kappa statistic, Entropy, RMSE, TP Rate, FP Rate, Precision, Recall, F-Measure, ROC, Specificity, Sensitivity.
HISAM: AN ACCIDENT DATA BASE MANAGER

The Highway Safety Analysis and Monitoring software was developed under a Federal Highway Administration research contract and is designed to aid local agencies with data base development and accident analysis. The package of programs is designed to enter, retrieve, process, and analyze traffic accident report data, link description data, and node description data. The city of Charlotte, North Carolina, with a population of 350,000, was chosen as the test site for the developed software. The average 20,000 accidents per year provided an excellent data base with which the software could be tested. By the end of the test phase the city was able to identify high-accident locations based on accident frequencies, accident rates, or EPDO indexes and rates. This paper describes both the data input and the report output of HISAM, as well as the city's experience with the software.
A flatness property for filtered D-modules

Let M be a coherent module over the ring Dx of linear differential operators on an analytic manifold X and let Z1, . , Zk be k> germs of transverse hypersurfaces at a point x ∈ X. The Malgrange-Kashiwara V-filtrations along these hypersurfaces, associated with a given presentation of the germ of M at x, give rise to a multifiltration U•(M) of Mx as in Sabbah's paper [9] and to an analytic standard fan in a way similar to [3]. We prove here that this standard fan is adapted to the multifiltration, in the sense of C. Sabbah. This result completes the proof of the existence of an adapted fan in [9], for which the use of [8] is not possible.
Retention factors in relation to organisational commitment in medical and information technology services : original research

Orientation : Retaining staff with scarce and critical skills in the medical and information technology (IT) industry has become a top priority because of skills shortages. Research purpose : The objectives of the study were to investigate empirically: (1) the relationship between employees' satisfaction with organisational retention factors (measured by the Retention Factors Scale) and their organisational commitment (measured by the Organisational Commitment Questionnaire) and (2) whether gender, age, race and tenure groups differ significantly in terms of these variables. Motivation for the study : Medical and information technology professionals have specialised and hard to replace skills. They also have strong tendencies to leave their organisations and countries. Understanding the retention factors that will increase their organisational commitment may benefit the organisations who want to retain their valuable talent. Research design, approach and method : The researchers used a cross-sectional survey design to collect data from a purposive sample of 206 staff members who had scarce skills in a South African medical and information technology services company. Correlational and inferential statistics were computed to achieve the objectives. Main findings : The results showed that the participants' satisfaction with retention factors has a significant relationship with their organisational commitment and that the biographical groups differ significantly in terms of the variables. Practical/managerial implications : The measured retention factors were all associated with human resource management practices that influence employees' intentions to leave. Contribution/value-add : The results are important to managers who are interested in retaining staff who have scarce skills and provide valuable pointers for designing effective retention strategies.
Challenges and success factors in pursuing disruptive innovations: A Finnish hightech start-up case study

Despite increasing acknowledgment of disruptive innovations for their potential to generate high growth, their high rate of failure necessitates research on what kind of challenges start-ups pursuing disruptive innovations face and how they overcome them. This study contributes to increase understanding in this field by studying the case of a Finnish high-tech start-up’s successful new-market disruption in business-to-business context. Identifying disruptive innovations that have market potential, obtaining adequate funding at initial stages of the business, marketing of the disruptive innovation, and the length and riskiness of the process are main challenges in Finland. Success factors derived from the case study and insights of an expert practitioner of the field provide a roadmap for start-ups to overcome these challenges. Findings from this business-tobusiness study challenge the disruptive innovation theory which has been created in the context of business-to-consumer innovations.
Synbiotic Tarhana as a functional food

In the present study formulated synbiotic tarhana (Turkish fermented cereal food) was produced as a functional food from the fermentation of wheat flour, some spices (salt, pepper, dill and sweet marjoram (Organum majorana)), some vegetables (tomato (Lycoprsicum esculentum), pepper (Capsicum annum) and onion (Allium cepa)), and synbiotic yoghurt which prepared with prebiotic (inulin and lactose each 3%) and different concentrations of the probiotic culture (0.5, 1.5, 3, 4.5% DVS-ABT2 containing Streptococcus thermophilus, Lactobacillus acidophilus and Bifidobacterium bifidum). After fermentation (3 days), tarhana dough was dried in the sun. The effect of the fermentation (0, 1, 2 and 3 days) and the probiotic culture concentration on the chemical composition and the probiotic population of the wet tarhana were evaluated. The effect of the probiotic culture concentration on the chemical composition, the probiotic population and the sensory attribute of dried tarhana were evaluated. Also the effect of dried tarhana (prepared from yoghurt which was fermented by 4.5% probiotic culture) on the plasma lipid profile of human subjects was studied. The results showed that the pH value decreased while the acidity increased, acetaldehyde and diacetyl values increased during the fermentation period and by increasing the probiotic culture concentration of the wet and the dried tarhana. Neither the fermentation nor the concentration of the probiotic culture of wet and dried tarhana affected the crude protein, ether extract, crude fibre, and ash values. The numbers of probiotic bacteria increased until the second day of fermentation. However, in the following day, with an increase of the acid content their number decreased. Generally the increasing of the probiotic culture concentration increased the numbers of probiotic bacteria of the wet and dried tarhana. Also the concentration of the probiotic culture didn't affect the sensory attributes of dried tarhana. Subjects supplemented with dried tarhana showed significant reduction in total plasma cholesterol, low density lipoproteins (LDL-C) and triglycerides, while high density lipoprotein (HDL-C) increased.
A Decision Support System Approach To Lot-Sizing Problem in Material Requirements Planning Process.

Material Requirements Planning (MRP) is a system that has inputs like master production scheduling, product tree, inventory status information and outputs like planning reports of order precedence, performance control reports, and lead time. Decision Support Systems (DSS) is a flexible information technology system that is designed to help the decision making system in case the decision isn’t structural. This study is made for the purpose of resolving the lot-sizing problem in MRP process by using a DSS approach in flour milling system manufacturer firm. Thus, a DSS is developed in Visual Basic 6.0 and using the developed DSS, techniques that determine order quantities and makes cost analysis are researched and these techniques are implemented in the firm. After monthly demand quantities are inserted, the DSS is run, the optimal lot-sizing method that minimises the cost is found as the feasible method.
TESTING APPROACH TO ESTIMATE HOURLY REFERENCE EVAPOTRANSPIRATION WITH SCINTILLOMETER MEASUREMENTS UNDER MEDITERRANEAN CLIMATE

In the paper a comparison between radiation-aerodynamic and radiation based evapotranspiration models with an independent dataset of Alfalfa reference evapotranspiration acquired by means a scintillometer is carried out. The satisfactory performance of the selected models is comparable to that showed in earlier investigations. This study also shows that using values of model parameters locally determined, is possible to improve hourly estimation of potential evapotranspiration, as obtained with the scintillometer.
ICA Model Order Estimation Using Clustering Method

In this paper a novel approach for independent component analysis (ICA) model order estimation of movement electroencephalogram (EEG) signals is de- scribed. The application is targeted to the brain-computer interface (BCI) EEG preprocessing. The previous work has shown that it is possible to decompose EEG into move- ment-related and non-movement-related independent com- ponents (ICs). The selection of only movement related ICs might lead to BCI EEG classification score increasing. The real number of the independent sources in the brain is an important parameter of the preprocessing step. Previously, we used principal component analysis (PCA) for estima- tion of the number of the independent sources. However, PCA estimates only the number of uncorrelated and not independent components ignoring the higher-order signal statistics. In this work, we use another approach - selec- tion of highly correlated ICs from several ICA runs. The ICA model order estimation is done at significance level α = 0.05 and the model order is less or more dependent on ICA algorithm and its parameters.
Reflections on a Study Skills Training Program at a University in Limpopo Province, South Africa

Abstract The purpose of the present study was to explore students’ views on study skills and other factors that might have influenced their learning at a university in Limpopo Province of South Africa. The study made use of a qualitative approach in which a case study design was employed. Purposive sampling was used to select two samples from a group of 45 students who completed the Foundation Program in the university. Each sample consisted of 6 participants and data were collected through individual and focus group interviews. Data were analyzed through content analysis. The study found that there were numerous factors that impacted negatively on students’ learning efforts. The study concluded that the type of study skills offered in the Foundation Program were not appropriate for learning in higher education. The study makes recommendations to enhance student learning in the university.
Laboratory studies to determine the efficacy of selected insecticides on tomato/potato psyllid

Tomato/potato psyllid (Bactericera cockerelli) was first recorded in New Zealand in 2006, and is now a significant pest of solanaceous crops in both glasshouses and fields. Given the potential impact of this insect and its associated pathogen(s) on crop yields, immediate control options are required. Thirteen insecticides were selected for testing. In laboratory bioassays, insecticides were applied at recommended field rates as a spray (12 chemicals) or a seedling drench (1 chemical). The recorded mortality of tomato/potato psyllid nymphs 48 h after spraying with dichlorvos, lambda-cyhalothrin, methomyl, taufluvalinate, methamidophos and abamectin was 98-100%. After 168 h, applications of azadirachtin, spiromesifen, abamectin, spirotetramat and thiacloprid gave 82-100% mortality, while buprofezin, pymetrozine and imidacloprid drench gave 36-53% mortality of nymphs. Further tests are required to confirm the efficacy under cropping conditions.
CARDIFF METROPOLITAN UNIVERSITY CARDIFF SCHOOL OF SPORT PERMISSION FOR EXTENSION OF ASSIGNMENT SUBMISSION DATE Name: Callum Shields Programme: SCRAM

ii CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 4 1.1 Hypertension 4 1.2 Post-Exercise Hypotension 5 2.1 Exercise Modes to Reduce Blood Pressure 6 2.2 Aerobic Exercise 7 2.3 Interval Exercise 8 3.1 Temperature Effects on Blood Pressure 10 3.2 Effects of Heat 10 3.3 Effects of Cold 12 CHAPTER 3: METHODS 14 1. Subjects 14 2. Procedure 14 2.1 Preliminary Test 15 2.2 Calculating Intensities 15 2.3 Experimental Protocol 15 3. Measurements 16 3.1 Blood Pressure 16 3.2 Heart Rate 16 3.3 Body Temperature 16 3.4 Oxygen Consumption 16 4. Statistical Analysis 17 CHAPTER 4: RESULTS 18 1. Pre-Exercise Resting Variables 18 2. Blood Pressure 18 2.1. SBP 18 2.2. DBP 18 3. Heart Rate 21 4. Body Temperature 22 CHAPTER 5: DISCUSSION 24 1. Previous Research 24 2. Findings 26 2.1 Blood Pressure 26 2.2 Heart Rate 27 2.3 Body Temperature 28 3. Limitations 29 4. Positives 29 5. Summary 30 6. Implications 31 7. Future Research 31
How much does childhood poverty affect the life chances of children

This study examines the impact of the level of income and the timing of economic deprivation in childhood on completed schooling in the US. Data were obtained from the Panel Study of Income Dynamics among a sample of 1323 children born during 1967 and 1973 and 328 sibling pairs. The average level of income increased across childhood. Income at ages 11-15 years was about 40% higher than income at ages 0-5 years. Only 39% of children with family incomes below $15000 in early childhood had incomes that low in adolescence. Almost 50% of siblings had 15-year average incomes that differed by over $5000. Multivariate analysis reveals that children with family incomes of $15000-25000 completed . 82 years more schooling had 4.1 times greater odds of completing high school and had an insignificantly lower risk of a nonmarital birth. At the next higher income level children had a half a year higher schooling level than children with income of $15000-25000. A $10000 increase to income averaged over the 0-5 years of life for children in low-income families was associated with a . 81 year increase in completed schooling and a 2.9 times increase in the odds of finishing high school. These estimated effects were larger than at ages 6-10 years and 11-15 years. Parental income during adolescence was less important in the completion of high school and more important for college decisions. Children with early childhood family incomes of $15000-25000 averaged . 66 years more schooling than children in the lowest income group. Stage-specific income from all childhood stages did not strongly predict nonmarital childbearing. High income during adolescence enabled children to enter college but did not predict completion of college. Sibling findings supported the individual-based findings that economic conditions in early childhood particularly among low-income families were key determinants of completed schooling.
Solar Photovoltaic Generators with MPPT and Battery Storage in Microgrids

Maximum power point tracking (MPPT) of a photo voltaic system with different temperature and insolation conditions used for Micro grids can be explained in this paper. The different steps of the design of this controller are presented together with its simulation and the feasibility of control methods to be adopted for the operation of a micro grid when it becomes isolated. Normally, the micro grid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation can take place. In such conditions, the micro grid must have the ability to operate stably and autonomously. An evaluation of the need of storage devices and load to take off strategies is included in this paper. Solar photovoltaic (PV) energy has witnessed double-digit growth in the past decade. The penetration of PV systems as distributed generators in low-voltage grids has also seen significant attention. In addition, the need for higher overall grid efficiency and reliability has boosted the interest in the microgrid concept. High-efficiency PV-based microgrids require maximum power point tracking (MPPT) controllers to maximize the harvested energy due to the nonlinearity in PV module characteristics. This paper proposes an approach of coordinated and integrated control of solar PV generators with the maximum power point tracking (MPPT) control and battery storage control to provide voltage and frequency (V-f) support to an islanded microgrid. The simulation studies are carried out with the IEEE 13-bus feeder test system in grid connected and islanded microgrid modes. The MPPT of a Photovoltaic System for Micro Grid operation is successfully designed and simulated by using MATLAB/Simulink Software in this paper.
Genetic Diversity and Variability among Populations and Ecological Characteristics of the Uechtritzia Armena Freyn (Asteraceae) Endemic to Turkey

Uechtritzia armena Freyn (Asteraceae) which is an endemic species for Turkey grows in the provinces of Gumushane, Erzurum and Artvin. In this study, its distribution, ecological features and threats are discussed. Its local future is treated. The distribution of the species is related to P. sylvestris var. hamata. It grows in the northern aspect in P. sylvestris var. hamata forest. The results of the soil analysis showed that the soil type of the species is loamy with clay. The pH of the soil varies between 6-7.52. The percentage of organic matter in the soil is between 2.9 to 4.24. In addition, genetic diversity among populations was determined by RAPD. 16 primer generated a total of 127 bands, with a mean of 7.94 bands per primer. RAPD analyses showed various band sizes, which ranged from 250 to 3000 bp. Mean polymorphic locus ratios were determined as 92.13% considering four populations. The percentage of polymorphic bands for this species was 96.21%. The Nei’s gene diversity (H) ranged from 0.166 to 0.183, Shannon’s Information Index (I) differed from 0.258 to 0.299, while Nei’s gene diversity (H) varied from 0.166 to 0.183. Genetic distances between populations ranged from 0.981 to 0.201. Cluster analysis showed correlation between genetic and geographic distance.
Temperature effects on growth, colony development and carbon partitioning in three Phaeocystis species

Phaeocystis is an ecologically important marine phytoplankton genus that is globally distributed. We examined the effects of temperature on the 3 most common species: P. globosa, P. antarctica, and P. pouchetii, which grew at 16-32, 0-6, and 4-8°C, respectively. P. pouchetii did not form colonies; P. globosa formed colonies at 16, 20, and 24°C, and P. antarctica colonies were observed at all temperatures. More cells were partitioned into the colonial form at lower tempera- tures than at higher temperatures for P. globosa and P. antarctica. P. globosa colony size decreased with temperature, whereas P. antarctica colony size showed no distinct response to temperature. Numbers of cells per unit of colony surface area of P. globosa and P. antarctica were lowest at tem- peratures where highest growth rates and colonial abundances were observed; more organic carbon was partitioned into solitary cell biomass at higher temperatures, whereas the carbon concentration of colonies was not affected by temperature. Maximum quantum yield of P. antarctica and P. globosa exhibited subtle responses to temperature, whereas that of P. pouchetii was relatively invariant within the growth temperature range. Future changes in sea surface temperature may dramatically alter the ecology and biogeochemical cycles of systems dominated by Phaeocystis spp. and result in further degradation, via oxygen depletion and altered food web structure.
Investigating People Management Issues in a Third Sector Health Care Organisation - an Inductive Approach

Objective: To explain use of inductive convergent interviewing to generate the perceived critical people management issues, as perceived by staff, as a prelude to longitudinal surveys in a third sector health care organisation. Design: Convergent interviewing is a qualitative technique that addresses research topics that lack theoretical underpinning and is an inductive, flexible, evolving research approach. The key issues converged after six rounds of interviews as well as a further round to ensure that all of the common people management issues had been generated. Setting: Studies in employee behaviour in the health care industry exist, but there is little in the way of tested models of predictors of such behaviour in third sector organisations in the Australian health care industry. The context is what differentiates this study covering a range of facilities and positions in hospitals and aged care situations within one third sector health care organisation. Subjects: The study proposed twenty seven extensive interviews over a range of facilities and positions. Twenty one interviewees participated in the final convergent process. Conclusions: Critical issues included: workload across occupational groups, internal management support, adequate training, the appropriate skill mix in staff, physical risk in work, satisfaction, as well as other issues. These issues confirm the proposition of sector-ness in health organisations that are multi-dimensional rather than uni-dimensional.