Miracle-dz/UniFAR-FTUs huggingface dataset:
Petal Coloration of Interspecific Hybrids between Camellia chrysantha X C. japonica

Flowers of interspecific hybrids derived from a cross between Camellia chrysantha and white colored C. japonica have a pale yellow color. Hue-angles on petals of interspecific hybrids are quite similar to those of C. chrysantha, but the C-values of petal hues are intermediate between those of the parents. Almost the entire content of flavone-flavonol pigments but a low level of carotenoid pigments were transmitted to the F1 progenies. Among the parent camellias and interspecific hybrids, a relatively high correlation was observed between carotenoid contents and C-values. Because adequate yellow color was not transmitted from C. chrysantha, the seed parent, backcrossing of interspecific hybrids to C. chrysantha may be a possible means to increase the carotenoid content in the petals.
Pet Shop Recommendation System based on Implicit Feedback

기계 학습과 인공 지능 기술의 발전으로 다양한 응용분야들이 가능해지고 있고, 이중에 추천 시스템은 이미 여러 업체들에서 영화 추천이나 상품 추천 등의 서비스에 적용하여 효과를 보고 있다. 이러한 서비스 중인 추천 시스템들의 대부분은 아이템의 내용을 분석 하여 추천하거나 아니면 평점과 같은 직접적인 피드백에 기반하여 시스템을 학습하고 추천하고 있다. 하지만 많은 온라인 쇼핑몰 중 에는 아이템의 내용을 분석하는 것이 어렵고, 직접적인 피드백 정보가 없거나 혹은 거의 없어 추천 시스템 구축이 어려운 경우가 많다. 이러한 경우에도 사용자의 상품 조회에 관한 로그 기록들은 어렵지 않게 확보할 수 있고, 로그 기록들만 가지고도 추천 서비스를 제공 할 수 있다면 서비스의 질을 향상할 수 있을 것으로 기대된다. 본 논문에서는 사용자의 로그 기록으로부터 암묵적인 피드백인 상품 조 회 정보를 추출하고, 암묵적인 피드백에 기반한 추천 시스템을 구현하고, 제안된 시스템은 온라인 반려동물 용품점에 적용하여 확인 한다. 즉, 사용자들의 상품조회를 위한 클릭정보만을 활용하여 반려동물 용품 추천 시스템을 구축하여 서비스로 확인한다.
Fruit physico-chemical characteristics of some Chinese sandy pear selections

A survey was carried out to collect different Chinese Sandy pear selections in parts of District Budgam in Jammu and Kashmir State based on fruit quality characteristics. In total twelve selections were made. Fruit weight ranged from 50.47 g to 115.57 g in different selections. However fruit length ranged from 44.70 mm -70.64 mm and fruit breadth ranged from 47.80-59.16 mm. Fruit TSS in different selections ranged from 9.20% to 13.23% and fruit acidity ranged from 0.12 to 0.26 %. Fruit total sugars content in different selections ranged from 6.90 % to 9.80 %.
DMSP in Corals and Benthic Algae from the Great Barrier Reef

In this study the first measurements of DMSP in six species of corals and ten species of benthic algae collected from four coral reefs in the Great Barrier Reef are reported, together with DMSP measurements made on cultured zooxanthellae. Concentrations ranged from 21 to 3831 (mean=743) fmol DMSP zooxanthellae(-1) in corals, 0.16 to 2.96 nmol DMSP cm(-2) (mean=90) for benthic macroalgae, and 48-285 fmol DMSP zooxanthellae(-1) (mean=153) for cultured zooxanthellae. The highest concentrations of DMSP in corals occurred in Acropora formosa (mean= 371 fmol DMSP zooxanthellae(-1)) and Acropora palifera (mean=3341 fmol DMSP zooxanthellae(-1)) with concentrations in A. palifera the highest DMSP concentrations reported in corals examined to date. As well as inter-specific differences in DMSP, intra-specific variation was also observed. Adjacent colonies of A. formosa that are known to have different thermal bleaching thresholds and morphologically distinct zooxanthellae, were also observed to have different DMSP concentrations, with the zooxanthellae in the colony that bleached containing DMSP at an average concentration of 436 finol zooxanthellae(-1), whilst the non-bleaching colony contained DMSP at an average concentration of 171 finol zooxanthellae(-1). The results of the present study have been used to calculate the area normalized DMSP concentrations in benthic algae (mean=0.015 mmol m(-2)) and corals (mean=2.22 mmol m(-2)) from the GBR. This data indicates that benthic algae and corals are a significant reservoir of DMSP in GBR waters. (C) 2002 Published by Elsevier Science Ltd.
Semiconductor Materials by Ultrasonic Spray Pyrolysis

Ultrasonic spray pyrolysis is a deposition technique that enables a fine mist of the precursor solution in order to deposit higher-density thin films. This characteristic makes of great potential the use of ultrasonically spray-deposited semiconductors films for lowcost, transparent, flexible and large-area applications. In this chapter, low-temperature deposition and characterization of ultrasonically spray-deposited zinc oxide (ZnO) films are presented. The ZnO films deposited by ultrasonic spray pyrolysis at 200°C were characterized by optical transmittance, photoluminescence spectroscopy, X-ray diffraction and Fourier transform infrared spectroscopy. The study of low-temperature annealing of ZnO films is also presented. Moreover, the characterization of aluminum-doped ZnO films deposited by ultrasonic spray pyrolysis at 200°C is presented. Finally, applications of these ultrasonic spray-deposited films in electronic devices are presented.
A Machine Learning Technique for Reducing Hospital Readmissions for Diabetic Diseases

The number of readmissions in diabetic diseases keeps increasing from time to time in patients from various hospitals. This brings a dreadful name to the hospital and is also considered as an act of irresponsibility of the doctors. So in order to reduce the readmissions of diabetic patients, we propose an approach which uses a machine learning technique to compare the hospital records of various patients. We have used various diabetic dataset features for our technique to predict the readmission probability rates of patients. We compared our proposed technique with existing Machine Learning algorithms like Random Forest, K-means clustering, Support Vector Machine(SVM) and found the best possible prediction with proposed approach using receiver operating characteristic( ROC) curve.
Size-Structured Morality in a Treespine Stickleback (Gastrosteus aculeatus) – Cutthroat Trout (Oncorhynchus clarki) Community

In a 112-ha bog lake on the Queen Charlotte Islands, British Columbia, small fish comprised the major element in the diet of cutthroat trout (Oncorhynchus clarki). Despite the presence of juvenile salmon and char in the lake, threespine stickleback (Gasterosteus aculeatus) was the most common fish in the diet (99.5%). Foraging activity appeared to be more frequent in littoral than in limnetic regions. Mark–recapture methods indicate an average population of 220 trout and 75 000 adult stickleback. Trout consumed an estimated 308 770 stickleback yearly (145 kg) of which 65% were taken during summer. Seventy-three percent of all fish consumed were young of the year and 2% were adults, the latter representing 4% of the adult population in the lake. There was a 75% reduction in total mortality between successive year classes of stickleback (0,1,2,3 +). This consumption curve, which resembles a typical survivorship curve of fish, is a function of the size-structure of the populations and includes interactions b.
Phytochrome A, phytochrome B and HY4 are involved in hypocotyl growth responses to natural radiation in Arabidopsis: weak de‐etiolation of the phyA mutant under dense canopies

The roles of phytochrome A (phyA), phytochrome B (phyB) and a putative blue-light (BL) photoreceptor (HY4) in the control of hypocotyl growth by natural radiation were investigated using phyA, phyB and hy4 mutants of Arabidopsis thaliana. Full sunlight inhibited hypocotyl growth to a larger extent in wild-type (WT) than in phyA, phyB and, particularly, hy4 seedlings. In WT seedlings, hypocotyl growth was promoted by selectively lowering BL irradiance, lowering red-light (R) plus far-red-light (FR) irradiance or lowering the R/FR ratio (which was achieved either by increasing FR or by reducing R). The effects of lowering BL were reduced in hy4 and exaggerated in phyA seedlings. The effects of lowering R+FR were reduced in phyA and exaggerated in hy4 seedlings. Neither phyB nor hy4 mutants responded to low R/FR ratios. Neighbouring plants reflecting FR without shading caused subtle reductions of the R/FR ratio. This signal promoted hypocotyl growth in WT but not in phyA, phyB or hy4 seedlings. Intermediate canopy shade produced similar effects in all genotypes. Under deep shade, de-etiolation was severely impaired in phyA seedlings, which died prematurely. Thus, the FR ‘high-irradiance reaction’ mediated by phyA could be important for seedling survival under dense canopies.
INTERNAL SERIES RESISTANCE DETERMINATED OF ONLY ONE IV-CURVE UNDER ILLUMINATION

ABSTRACT: For the measurement of the internal series resistance (which desribes internal losses and losses due to bad contacts as well) two IV-curves of different irradiance but of the same spectrum and at the same temperature are necessary according to IEC 60891. For single cells and single modules the second IV-curve can be obtained by covering the cell or module with an insect-screen. For large PV-generators (several kW) this method could not be applied. A new method will be presented which allows to determinate the internal series resistance out of only one IV-curve under illumination. With a new method for the simulation of the second IV-curve, using the effective solar cell equation-method, now it is possible to obtain the internal series resistance out of only one IV-curve measured under illumination. The method will be presented as well as some experimental results to show the accuracy of the method.
Effect of Dietary Intake and Socio-Economic Factor on Nutritional Status of Primary School Going Children: a Cross-Sectional Study in old Dhaka City, Bangladesh

Though the economic growth of Bangladesh is increasing day by day, malnutrition remains one of the leading causes of child mortality and morbidity. The school age is the dynamic period of growth and development. The aim of this study is to assess the nutritional status and dietary pattern of primary school children in old Dhaka, Bangladesh and identify the risk factors of nutrition situation. This was a cross-sectional study conducted among 210 children aged 5 to 11 years at seven different primary schools in old Dhaka, Bangladesh. The sample was selected by multistage sampling from four than as of old Dhaka, Bangladesh. The majority (47.6%) of the participants came from low-income families, but about 41% and 44% spent high and moderate amount of money on foods, consequently. About 21.7% and 9.7% of the respondents were moderately underweight and overweight, respectively as indicated by Weight for age z-score (WAZ). In case of Height for age z-score (HAZ), 24.3% of the respondents were moderately stunting. The prevalence of thinness, overweight and obese among the participants were 22%, 11.9%, and 4.8%, respectively, as measured by BMI for age z-score (BAZ). The well-nourished children showed better school performance than the malnourished one. Significant association was found among food consumption score (FCS), individual dietary diversity score (IDDS), and anthropometric indices among the respondents. As malnutrition is prevalent among primary school children, so school health program with proper screening and better nutrition education should be recommended as early as possible.
Big Five Personality Traits and Their Impact on Job Performance of Managers in FMCG Sector

Personality of a manager is a very crucial factor to get success in his career and leading the high level of job performance in all departments of every organization. Appropriate personality of a manager always helps him to achieve the goal of the organisation. The prime objective of the research is to determine impact of five traits of personality on managers' performance at the workplace particularly in FMCG Sector. A questionnaire is made, comprising three stages where questions in first stage are based on respondent’s personal details, questions in stage second are framed for items of big five personality traits, which helps the managers to perform their jobs within a stipulated time period, part three for Job Performance. 400 managers of FMCG Sector are considered to collect the responses. Out of 400 managers, questionnaire was properly filled by 350 managers. Collection of data was done through interviews, questionnaire and www-link. Analysis of data was done through descriptive statistics i.e. measurement of percentage, mean and standard deviation, Correlation, regression technique and reliability analysis. This research study has made an attempt to study the big five personality traits and their impact on manager’s job performance. The result of the research shows that the manager’s personality traits affect their job performance in the organization.
Effect of Barren Soil Borders and Weed Border Treatments on Movement of the Twospotted Spider Mite into Peanut Fields1,2,3

Abstract Barren soil borders, weed border treatments, and caged barren soil were evaluated for their effect on movement of the twospotted spider mite, Tetranychus urticae Koch, into peanut (Arachis hypogaea L.) fields. In field cage tests when a 3, 4.5, or 6 m strip of barren soil separated a source of mite-infestation from initially mite-free peanut, mite damage to peanut was inversely related to the distance of barren soil crossed. In uncaged field tests, similar barren soil borders did not prevent mite movement into peanut fields, however, the number of mites were inversely related to the distance from the field border. There were no significant differences among weed border treatments and total numbers of mites entering peanut fields over time. There were, however, differences among weed border treatments on early mite movement and establishment trends into peanut fields. Mowing weed borders significantly increased the number of aerially dispersing twospotted spider mites within the adjacent peanut field.
An Association Rule Mining Based Model to Predict Learning Performance of a student with e-Learning Activity Log Data

There is a wider scope in research on log data of computed aided learning and interactive learning. We have an enormous collection of log data of students’ activities during their learning process. Data Mining(DM) algorithms help us to discover knowledge and information from a huge and complex data sets. In a time-series log data, it is very complicated to verify the DM algorithms to mine the dataset. e-Learning activity log data is taken and converted into categorical data to predict the learning behavior of the students to implement the algorithms. The excavated knowledge can be used to modify the e-learning system. It is very easy from the result to note the slow learners and advanced learners well in advance before conducting an examination. Time series data is a numeric data that measures in a time period in successive order. The dataset used in this work is a UCI EPM dataset. It is a Non-Linear Time-Series Data. The converted dataset is used to apply a rule mining algorithm to predict the performance of a student. The measurements support and confidence will help us to predict the students’ performance. The results also have been compared with other classification mining algorithms. It assists to improve and to build an educational model on e-Learning. In turn it supports students, teachers, and educational system as well Learning Management System.
Learning Heuristic Functions Through Supervised Learning

Probabilistic planning is a research ﬁeld that has become popular in the early 1990s. It aims at ﬁnding an optimal policy which maximizes the outcome of applying actions to states in an environment that feature unpredictable events. Such environments can consist of a large number of states and actions which make ﬁnding an optimal policy intractable using classical methods. Using a heuristic function for a guided search allows for tackling such problems. Designing a domain-independent heuristic function requires complex algorithms which may be expensive when it comes to time and memory consumption. In this thesis, we are applying the supervised learning techniques for learning two domain-independent heuristic functions. We use three types of gradient descent methods: stochastic , batch and mini-batch gradient descent and their improved versions using momentum , learning decay rate and early stopping . Furthermore, we apply the concept of feature combination in order to better learn the heuristic functions. The learned functions are provided to Prost , a domain-independent probabilistic planner, and benchmarked against the winning algorithms of the International Probabilistic Planning Competition held in 2014. The experiments show that learning an oﬄine heuristic improves the overall score of the search for some of the domains used in aforementioned competition.
Ionic toxicity assessment of groundwater for irrigation in the selected aquifers of Khulna area

An effort was made to evaluate the level of ionic toxicity of groundwater for irrigation collected from the selected aquifers of the district of Khulna. Fifteen samples were collected to explore major ionic constituents for the suitability of groundwater as irrigation usage. All the groundwater samples were slightly alkaline to alkaline in nature (pH=7.77-8.25) and were not problematic for irrigation. EC and SAR indicated that most of the groundwater samples were medium salinity (C2) and low alkalinity (S1) hazards expressing as C2S1. In respect of TDS values, all the samples were categorized as fresh water in quality and were not problematic for irrigation. As regards to SAR values, all the samples were excellent class. Based on SSP, water samples were classified as excellent, good, permissible and doubtful. According to RSC and permeability index (PI), all the samples were suitable for irrigation usage. As per hardness (H T), 3 samples were hard in quality and the rest 12 samples were very hard. The ionic dominance of groundwater samples were in the order of Cl>Na>SO4>Ca>Mg>Fe>Mn>K>HCO3>PO4. The detected Fe, Mn and Cl ions in the collected water samples were above the permissible limit for long-term irrigation and these ions were considered as toxicants. The contents of Na, K, HCO3, SO4 and PO4 ions were detected below the toxic level and might not pose threat to soil system as irrigation water. The association between chemical parameters and ionic constituents was established. The combinations of pH vs RSC, pH vs HT, EC vs TDS, EC vs SAR, TDS vs SAR, SAR vs SSP, SAR vs RSC, SAR vs HT, SAR vs PI, SSP vs RSC, SSP vs HT, SSP vs PI, RSC vs HT, RSC vs PI and HT vs PI exhibited significant relationships and the remarkable significant correlation existed between Ca vs K, Ca vs Na, Ca vs Cl, Mg vs K, Mg vs Na, Mg vs SO4, Mg vs HCO3, Mg vs Cl, K vs Na, K vs HCO3, K vs Cl, Na vs Cl and Fe vs Mn. In the study area, it was noted that the detected ions as toxicants should not be ignored for long-term irrigation.
Empirical Assessment of Transfer Learning Techniques for Surgical Tools Classification

Automated surgical tool classification in the medical images is a real-time computerized assistance for the surgeons in performing different operations. Deep learning has evolved in every facet of life due to availability of large datasets and emergence of Convolutional Neural Networks (CNN) that have paved the way for development of different image related processes. In the medical field there are number of challenges such as non-availability of datasets, image annotation requires extensive time, imbalanced data. Transfer learning is the process of applying existing pretrained models to the new problem. It is useful in those scenarios where the large datasets are not available, or the new dataset shares visual features with the existing dataset on which the model is pretrained. Most of the pretrained models are trained on ImageNet which is a largescale dataset (1.2 million labelled training images). In this paper we evaluated and explored two different CNN architectures namely VGG16 and MobileNet-v1-1.0-224 on subset of surgical toolset. This paper presents comparative analysis of the techniques using learning curves and different performance metrics.
The review of European Community and European Union through the prism of common market

The paper deals the characteristics and significance of the common market, which was the main objective while forming the European Economic Community (EEC), and institute with no alternative for the functioning of its successor – the European Union (EU). The research approach to this institute of international rank is fundamentally critical. The main reason for that view is disagreement with the claims that in internal market there are all types of business relationships and various transactions among Member States, without restrictions, problems and discrimination. The purpose of the paper is to look at market activities and identify problems that are their inevitable followers, the evaluation and affirmation of success, and identification of deficiencies. The aim of the paper is to look for an answer to the question: whether a single (internal) market really obliges each Member State to move towards the defined objectives, same directions, and whether it succeeds in standardizing its internal market, in order to make it compatible with the objectives contained in the Treaty establishing the European Economic Community (EEC).
Efficient Single Image Dehazing by Pixel-based JBDCP and Low Complexity Transmission Estimation

This paper proposes a single image dehazing that utilizes the transmission estimation with low complexity and the pixel-based JBDCP (Joint Bright and Dark Channel Prior) for the effective application of hazy outdoor images. The conventional transmission estimation includes the refinement process with high computational complexity and memory requirements. We propose the transmission estimation using combination of pixel-and block-based dark channel information and it significantly reduces the complexity while preserving the edge information accurately. Moreover, it is possible to estimate the transmission reflecting the image characteristics, by obtaining a different air-light for each pixel position of the image using the pixel-based JBDCP. Experimental results on various hazy images illustrate that the proposed method exhibits excellent dehazing performance with low complexity compared to the conventional methods; thus, it can be applied in various fields including real-time devices
Establishing Baseline in the Status of E-health Research in Norway

—E-health is a rapidly evolving research field. In Norway, it is governed by the National E-health Strategy, defining six focus areas to be addressed by both academics and industry. The strategy is relatively new and much research in the field has been performed before it was developed. Literature search and machine learning classification methods were used to map scientific publications into the focus areas of the National E-health Strategy. Results showed that all strategic areas were represented in scientific publications; one focus area, new ways to provide healthcare, attracted the most attention from research communities. This paper presents a method and baseline of e-health research activities in Norway alongside the initial results of applying this method to the existing body of literature.
Effect of Different Constant Temperatures on Biological and Life Table Parameters of Autographa gamma L

The present study was carried out to investigate the effect of three constant temperature degrees (20, 25 and 30°C ±1°C and 65±5% R.H.) on Autographa gamma L. biological and life table parameters. The duration period of immature stages, pre-oviposition, oviposition and post-oviposition periods and fecundity of A. gamma were significantly affected by temperature. The results showed that biological parameters had the shorter periods at 30°C than the other two temperatures. The net reproduction rate (R ), 0 the mean generation time, the generation doubling time, the intrinsic rate of increase (r ) and finite rate of m increase ( ) were higher at 30°C than at 20 and 25°C.