Miracle-dz/UniFAR-FTUs huggingface dataset:
Physico-chemical Properties Comparison between Released Varieties and Local Germplasm of Sapota

Aim: Comparison of physico-chemical properties between released varieties and local germplasm of Sapota with a view to selecting the superior germplasm/variety in respect of nutritional quality. Study Design: A laboratory experiment was done by the following Completely Randomized Design (CRD) with 4 replications. Sample Collection: Local germplasms were collected from different homestead of Dumki upazila and six released varieties were collected from Germplasm Center, Department of Horticulture, PSTU and Bangladesh Agricultural Research Institute, Gazipur, Bangladesh. Original Research Article Dola et al.; EJNFS, 10(4): 273-283, 2019; Article no.EJNFS. 2019.028 274 Place and Duration of Study: The study was conducted during March, 2018 to February, 2019 at the Plant Biotechnology Lab and Postharvest Lab, Department of Horticulture, Patuakhali Science and Technology University, Bangladesh. Results: The highest fruit length (4.85 cm), width (4.93 cm), weight (115.33 g), edible portion (92.33%), phenolic content (2.537 mg/100 g) and anthocyanin content (1.807 μg/100 g) were exhibited in local germplasm (G3). The highest carotenoid content (5.320 μg/100 g) was found in local germplasm G3 followed by G1 (5.173 μg/100 g). On the other hand the highest vitamin-C content (11.42 mg/100 g) and carbohydrate percentage (22.99%) were observed in local germplasm G1 and G2 respectively. BARI-3 (V10) exhibited the highest percentage of TSS (21.28%) along with highest peel weight (6.80 g) and the highest percentage of antioxidant (95.80 mg/100 g) was traced in BARI-2 (V9). Conclusion: Based on the selected physico-chemical properties it was revealed that local germplasm (G3) was superior than the other germplasm/varieties. G1, G2, V9 and V10 germplasm/variety were identified as good source of phytochemicals. Based on Physico-chemical properties local germplasm (G3) was better for eating fresh fruit as well as processing than the other germplasms/varieties considered in this research.
How to Extract Meaningful Insights from UGC: A Knowledge-Based Method Applied to Education

New analysis and visualization techniques are required to glean useful insights from the vast amounts of data generated by new technologies and data sharing platforms. The aim of this article is to lay a foundation for such techniques so that the age of big data may also be the age of knowledge, visualization, and understanding. Education is the keystone area used in this study because it is deeply affected by digital platforms as an educational medium and also because it deals mostly with digital natives who use information and communication technology (ICT) for all manner of purposes. Students and teachers are therefore a rich source of user generated content (UGC) on social networks and digital platforms. This article shows how useful knowledge can be extracted and visualized from samples of readily available UGC, in this case the text published in tweets from the social network Twitter. The first stage employs topic-modeling using LDA (latent dirichlet allocation) to identify topics, which are then subjected to sentiment analysis (SA) using machine-learning (developed in Python). The results take on meaning through an application of data mining techniques and a data visualization algorithm for complex networks. The results obtained show insights related to innovative educational trends that practitioners can use to improve strategies and interventions in the education sector in a short-term future.
Procedural Level Generation to Improve a Digital Math Game's Development: Does it Impact Player Experience?

Procedural content generation can improve the game development process, however, few studies evaluated how it influences players, especially on digital math games. This work tackles this problem by investigating how procedural level generation influences players of an introduced digital math game. Additionally, we validated the game and analyzed both the relationship between fun, willingness to play the game again (i.e., returnance), and curiosity, and the impact of demographic and in-game data on player experience and performance. A two-sample experiment was designed where participants played a game version with (dynamic) or without PCG (static) in which in-game (n = 724) and questionnaire (n = 506) data were gathered and empirically analyzed. The results demonstrate the experiences of players from the dynamic version were similar to those of the static in all but one question, while being more difficult and providing equivalent engagement. The findings also show: the game is fun and arises players’ curiosity and returnance, players’ curiosity has a strong correlation to fun and returnance, and demographics and in-game performance impact players’ experiences. Our results are valuable to developers and designers, showing the impact of procedural level generation on players, and how and which factors might play a role in their experiences.
Multi-label classification and description generation of Pulmonary diseases in Chest X-rays using Deep Learning techniques

The applications of deep learning have broadened their spectrum in the field of medical research. One such field is medical radiography which uses several imaging techniques like CT-Scan, X-Ray to view the internal abnormalities of a human body. Traditional image classifiers could not process these noisy, blurred or unclear X-Ray images, which leads to incorrect results. These image classifiers lack in mimicking the exact understanding of a professional, which comes from rigorous training and hands-on experience. Hence, a novel solution to x-ray image classification and description generation has been presented. This approach works towards detection and classification of pulmonary diseases like fibrosis as well as generates a medical interpretation of the detected abnormalities. This model is prepared in two parts. The first part works as a multi-label classifier and is based on a pre-trained MobileNet Convolutional Neural Network (CNN), while the second part of the model is designed by combining a pre-trained CNN VGG16 and a Long-short term memory-recurrent neural network (LSTM-RNN) to generate a medical description of the diagnosis. Chest x-ray image dataset from OpenI and NIHCC with their medical labels have been used for training and testing the model. This multi-label classifier and the captioning system performs well with an overall prediction accuracy of about 87% and BLEU score of 0.58.
DEVELOPMENT OF CARBON STORAGE MODEL FOR ABOVEGROUND VEGETATION IN CHINA

Aboveground vegetation is an important component of the terrestrial ecosystem carbon storage, with a significant role in maintaining the global carbon cycle and balance. At present, the estimation method of aboveground vegetation carbon storage was concerned by people. Based on the national data of major trees, forest sample plots and major crops, the carbon storage models of 13 species of tree and 9 types of stands were established through regression analysis, and the carbon storage factors of main crops per unit area was calculated, Moreover, the carbon storage of forest in China was estimated. The results of model fitting showed that the fitting determination coefficients (R) were all above 0.9. Evaluation indicators of five regression models were selected to conduct model verification. And the verification results showed that the variation range of total relative error (TRE) of tree regression model is -6.03~4.76%, and that of forest classification regression model is -3.24~7.43%. The China forest carbon storage calculated by regression model is 8.999 Pg, considering that forest inventory is carried out based on a certain degree of canopy density, so the error between the results 8.427 Pg of regression model and forest inventory is within the permit range. Therefore, the aboveground vegetation carbon storage models established in this study can be used to estimate the carbon storage of China’s main vegetation types.
Awareness and Application of Creatinine Clearance/eGFR in Non-Nephrology Doctors

Introduction: We conducted this study to determine the awareness of usage of estimated GFR/creatinine clearance formulas while dealing with patients in various wards and outpatient departments of different tertiary hospitals in Lahore in doctors who are not working or trained in nephrology, it was done by using a questionnaire in between January 2019 to May 2019. It was found that good percentage of doctor is not using basic formulas and need education by fellow nephrology colleagues for basic patient management, drug dosing, and referral. Objective: To study the awareness and usage of creatinine clearance calculations in doctors not trained in nephrology. Study design: Descriptive, cross-sectional study. Methodology: The cross-sectional observational study was conducted. A questionnaire was designed which included questions about knowledge of estimated GFR/creatinine clearance, calculation methods, use of these formulas while dealing with patients for defining and diagnosing AKI and CKD, medicine dosage adjustment according to creatinine clearance and referral to nephrologists. Results: A total of 170 doctors working in different specialties were contacted and all of them filled questionnaire. 56 (32.9%) doctors answered that they know and calculate eGFR in routine practice while 114 (67.1%) were not performing eGFR while encountering patients. 80 (47.1%) were confident in staging chronic kidney disease and 90 (52.9%) were unable to stage chronic kidney disease on basis of eGFR. In routine patients dose and adjustment according to GFR was documented by 39 (22.9%) doctors and 131 (77.1%) doctors were not practicing dose adjustments for different medicines after calculating GFR. Referral to nephrologist was being done 99 (58.2%) doctors and 71 (41.8%) were not referring patients to nephrologists. Conclusion: Several considerable challenges remain regarding CKD and AKI early diagnosis and management and referral in Pakistan including inadequate knowledge and training systems, and needs education in this regard.
Paraphilic Disorder: Definition, Contexts And Clinical Strategies

The evolution of the definition of perverted or paraphilic sexual activity reveals how psychiatric nosography reflects the society that expresses it. In the context of a culture that considered sexuality in relatively narrow terms, Freud (1905) first, in a closed socio-cultural context but eager to open up, defined perverse sexual activity according to various criteria, such as: focusing of body regions not necessarily genitals (eg: neck, back, .); the replacement of the usual sexual practice exclusively focused on genital contacts with a partner of the other sex, often for procreative purposes, according to the religious direction; the tendency to be the exclusive practice of the individual. From his first paper, however, cultural attitudes relating to sexuality have changed radically, thanks to globalization and the spread of telematics and social networks capable of connecting individuals separated by oceans and continents. Over the decades, from the first theorizations of the beginning of the last century, not surprisingly, couples (in their intimacy) have cleared a variety of sexual behaviours so to speak “bizarre”, up to the removal of perverse behaviours like anal penetration and homosexual orientation [1].
Formulation Development and Facial Skin Evaluation of Serum Containing Jellose from Tamarind Seeds

Jellose is a natural polysaccharide that is extracted from tamarind seed kernel. This natural polymer has many good properties to be a useful excipient for pharmaceutical and cosmeceutical products. It can used as a thickening agent, suspending agent, viscosity enhancer, emulsifying agent and more. Recently, it was reported that jellose can inhibit tyrosinase enzyme and has antioxidant activity which makes this ingredient interesting to be utilized for skin lightening in cosmeceutical products. The aim of this study was to formulate a facial serum product containing jellose as one of active ingredients, evaluate the physicochemical properties and stability, and also obtain a clinical result of product with the help of volunteers. Two types of jellose serums were developed: oil in water formula; and oil-free formula. The stability of serum was studied under heating and cooling cycle tests for 6 cycles, and then placed in room temperature (30±1°C) for 3 months. Results showed that both types of serums had good stability. The physicochemical properties such as viscosity, pH, antioxidant activity and tyrosinase enzyme inhibition activity were evaluated to select the optimal formulation. The selected formulation was tested by applying it on the facial area of 35 healthy volunteers aged 35-75 years, and then analyzing with Skin Visual Analyzer at 15, 30 and 60 days. It was found that the jellose serum can reduce skin roughness, has an anti-wrinkle property, and brightened the skin significantly when regularly used for at least 30 days. During this study, none of the volunteers reported any kind of allergies and the overall satisfaction assessment of jellose serum was excellent. It was concluded that jellose can become a novel and potential ingredient in cosmeceuticals.
Anti-nutritional Composition, Heavy Metal Content and Mineral Bioavailability of Red Tree Vine (Leea guineensis G. Don) Fruits

Leea guineensis G. Don is an evergreen shrub that has been reported to be important in Nigeria due to its medicinal and nutritional uses. However, there is paucity of documented information on the antinutritional composition, heavy metal content and mineral bioavailability of L. guineensis whole fruits. Hence, this study investigated the essential minerals, heavy metals and anti-nutritional compositions of L. guineensis whole fruits with a view to assess the quantity, bioavailability of the mineral elements and ultimately the safety of the fruits using standard analytical procedures. The results of phytochemical screening confirmed presence of secondary metabolites in varying quantities. The anti-nutrient contents (mg/100g) were phytates (29530); oxalates (510); saponins (10333); alkaloids (30533) and tannins (53.3). The results of mineral analysis revealed that L. guineensis fruits were rich in essential minerals (mg/100g) like, potassium (493); calcium (200); magnesium (103.3); phosphorus (9.9); zinc (8.5); manganese (5.5) and iron (5.0). The heavy metals concentrations were in the order lead>chromium>nickel>cobalt>cadmium. The values obtained were within the WHO permissible limits for heavy metals in medicinal plants. Meanwhile, the results of molar ratio phytates: Ca (8.97); oxalates: Ca (0.7978) and Ca.phytates:Zn (0.64) were below the suggested critical values indicating the bioavailability of calcium to be high. While phytates: Fe (501.06) and phytates: Zn (348.22) were higher than the critical values indicating poor bioavailability of Fe and Zn. The study therefore suggests that L. guineensis fruits are a good source of phyto-minerals which can be harnessed for nutritional purpose. Also, the anti-nutrient contents in L. guineensis whole fruits should be reduced to a safe level through processing methods (soaking, de-pulping or fermentation) in order to achieve its optimum nutritional or medicinal use.
Modern Paradigm: Democratic Skills in a Higher Order Thinking Skills Frame

The demand for expertise in technology and rapid service in the modern era has penetrated the field of education. According to Geogi Lozanov in Robinson (2005: 1) in reaching citizens who are sensitive to the development of science and technology and have the ability to interact internationally requires critical thinking skills and democratic attitudes. Critical thinking also requires skills to think about assumptions in asking questions about the concept of democracy that is being discussed before it becomes an option to be developed into a way of living together as a nation. Efforts to reach generations of citizens who have critical thinking skills and have democratic skills are one of the goals of national education, one of them is learning. Besides that, in the effort to reach the generation of democratic citizens in the modern era, high order thinking skills are also needed. This ability to think at a higher level requires someone to apply new information or prior knowledge. The purpose of this study is to describe the concepts of democratic skills in the HOTS stage in the modern era. The method in this study uses a descriptive qualitative approach. The concepts of democratic skills in the HOTS frame are civic skills, intellectual skills, and participation skills. Through this research, HOTS is expected to strengthen democratic skills in the modern era.
PII: S0010-0277(02)00015-X

Two experiments document that conceptual knowledge influences 3-year-olds’ extension of novel words. In Experiment 1, when objects were described as having conceptual properties typical of artifacts, children extended novel labels for these objects on the basis of shape alone. When the very same objects were described as having conceptual properties typical of animate kinds, children extended novel labels for these objects on the basis of both shape and texture. Moreover, providing a salient perceptual cue (Experiment 2) did not interfere with children’s reliance on conceptual information in extending novel words: when an object with eyes was labeled with a novel word in the context of a story describing the object as an artifact, children extended the label on the basis of shape alone (i.e. as though the object were an artifact). These results, which challenge directly the position that ‘dumb attentional mechanisms’ can account for word learning, stand as evidence for the central role of conceptual information in mapping words to meaning. q 2002 Elsevier Science B.V. All rights reserved.
Genomic Breeding Values for Claw Diseases/Disorders in Czech Holstein Cows

Genomic breeding values (GEBV) were predicted for claw diseases/disorders in Holstein cows. The data sets included 6,498, 6,641 and 16,208 cows for the three groups of analysed disorders. The analysed traits were infectious diseases (ID), including digital and interdigital dermatitis and interdigital phlegmon, and non-infectious diseases (NID), including ulcers, white line disease, horn fissures, and double sole and overall claw disease (OCD), comprising all recorded disorders. Claw diseases/disorders were defined as 0/1 occurrence per lactation. Linear animal models were employed for prediction of conventional breeding values (BV) and genomic breeding values (GEBV), including the random additive genetic effect of animal and the permanent environmental effect of cow and fixed effects of parity, herd, year and month of calving. Both high and intermediate weights (80% and 50%, respectively) of genomic information were employed for GEBV50 and GEBV80 prediction. The estimated heritability for ID was 3.47%, whereas that for NID 4.61% and for OCD was 2.29%. Approximate genetic correlations among claw diseases/disorders traits ranged from 19% (ID x NID) to 81% (NID x OCD). The correlations between predicted BV and GEBV50 (84–99%) were higher than those between BV and GEBV80 (70–98%). Reliability of breeding values was low for each claw disease/disorder (on average, 3.7 to 14.8%) and increased with the weight of genomic information employed.
A Systematic Review for the Challenges Related to the Implementation of Building Information Modelling, Big Data Analytics and Internet of Things (BBI) in the Construction Sector

Under scrutiny for the past several years, the adoption of Building Information Modelling (BIM), Big Data Analytics (BDA) and Internet of Things (IoT) (together also known as BBI) is yet to grow significantly in the construction industry. The industry itself is realising the complexity and challenges which admittedly inhibit BBI implementation. The identification of these challenges is an imperative precondition for successful implementation of BBI. Even though there is a paucity of empirical data in this area, a notable body of research has reported such challenges which are the target consideration of this paper. However, no study has comprehensively reviewed, and synthesized existing research on the basis of treating BBI implementation as an integrated process and viewing these challenges as the cause for laggard manifestations, which underpins the originality and value of this study. To bridge this gap in literature, this paper primarily undertakes a critical systematic review of research around challenges related to BBI implementation. It emphasises a variety of important challenges inter-alia, skills and training needs, level of interoperability, infrastructure associated costs, data security, privacy, data ownership and supply chain concerns. This synthesis shows that BBI implementation is complex and challenging, and suggests that the industry as a whole need to take immediate actions. The need for more concerted research efforts to bridge the gaps are also identified. Finally, the paper proffers recommendations for managers and workers, which have social, technological, and economic capability and capacity dimensions.
UNDERSTANDING LEVEL OF FARMERS ON THE USE OF THE INTEGRATED LIVESTOCK AREA IN NGGORANG VILLAGE, KOMODO DISTRICT, WEST MANGGARAI IN EAST NUSA TENGGARA

The purpose of this community service activity is to support the Agro Tourism of Nggorang Village, Komodo District, West Manggarai to maximize the productivity of cattle farms by utilizing the availability of natural resources while empowering rice straw agricultural waste as the main source of feed by utilizing feed processing technology, creating a healthy environment in the village by supporting Agroeduwisata village and clean grazing center through the utilization of livestock feces waste into organic fertilizer using natural probiotics, which have an impact on environmental cleanliness. In achieving this goal, there are a number of methods for achieving the objectives, namely the active participation approach of the community in collaboration with the village component starting from the planning stage, including data collection and mapping of available resources; implementation phase; the monitoring and evaluation phase of the activities to ensure the achievement of all aspect of the objectives. Based on the results obtained in this activity, there is an understanding of the benefits and advantages of integrated grazing land that can be applied by farmers in Desa Nggorang village, Komodo District, West Manggarai in NTT
ASPECTS OF MESH THEORY ASPECTS OF MESH THEORY

The main purpose of this paper is to give a thorough account of planar quadrilateral and offset meshes. To this end, abstract meshes, the linear spaces C(M), P(M), and the distance functions d*(M1 , M2 ) are defined and applied to planar quadrilLteral meshes. We then study the discrete analogue of the Gauss map as well as the defining properties of circular and conical meshes. The proof of the angle condition for conical meshes is given and used as motivation for the study of Lie sphere geometry. We apply the theory of Laguerre and Moebius tramformations to conical and circular meshes respectively. All of this theory is then applied to the creation of a planar quadrilateral mesh with the face offsEt property in the context of a study project.