Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on Orbital Linear Measurements among Bengalee Population

Human androgens like testosterone and oestrogen are responsible for sexually dimorphic features like more musculoskeletal system in men. Testosterone affects a number of facial features. In pubertal males, a high testosterone/oestrogen ratio is thought to facilitate the lateral growth of cheek bones, mandible and chin and the forward growth of the bones of eyebrow ridges and lengthening of the lower face leading to more robust face shape. The data for the present study was collected from the 283 individuals of both sexes, which includes 144 mals and 139 female. Considering the present study in Bengalee Hindu caste population. In another hand it is easily highlited that orbital linear measurements (Burley et al, 2003; Debopriya, 2008) which clinically represents the measurement for assessing ocular Hypertelorism, are strongly correlated but in case of male 2D:4D ratio as a proxy measurement for prenatal androgen level is not correlated with Orbital region linear measurements which denotes that prenatal hormonal environment do not affect the orbital measurements. Though in females a negative correlations are found between Inter pupillary distance and outer canthal distances and canthal indices are positively correlated. canthal linear measures in case of males are not correlated with digit ratio which represents the prenatal hormonal level but in case of females Inter pupillary distance and Outer canthal distance are negatively correlated and inner canthal distance and Canthal indices are positively correlated. It also stated that orbital Hypertelorism signifies an increased distance between both medial sides and lateral sides of orbits which associated with curved hairline.
Analysis of Volume Local Binary Patterns for Video based Smoke Detection

A video based smoke detection method using dynamic texture feature extraction with volume local binary patterns is studied. Dynamic texture features were extracted from blocks and irregular motion regions, respectively. Different operators were used to extract dynamic texture for smoke detection to study their characteristics. The results show that dynamic texture is a reliable clue for video based smoke detection. Irregular motion regions based method reduces adverse impacts of block size and motion area ratio threshold. It is generally conducive to reducing the false alarm rate by increasing the dimension of the feature vector. Additionally, it is found that the feature computing time is not directly related to the vector dimension, which is important for the realization of real-time detection.
O îmbunătăţire a performanţelor algoritmului KNN în sistemele de recomandare pe web

REZUMAT Lucrarea de faţă prezintă o abordare ce poate conduce la îmbunătăţirea rezultatelor întoarse de sistemele de recomandare bazate pe o implementare de tipul filtrării colaborative. Recomandările oferite de acest tip de sisteme sunt generate pe baza preferinţelor utilizatorilor care au comportamente asemănătoare cu cel al utilizatorului curent. Pentru identificarea acestor utilizatori se utilizează foarte frecvent o metodă de clasificare automată bazată pe algoritmul „cei mai apropiaţi K vecini”. Scopul acestei lucrări este să trateze o modalitate de a prezenta şi corecta unele probleme ale acestui algoritm, prin aplicarea unei interpolări asupra claselor întoarse de către varianta standard a algoritmului de clasificare, astfel încât să se îmbunătăţească acurateţea metodei şi, implicit, a rezultatelor fumizate de sistemele de recomandare.
ANALYSIS OF THE FACTOR WHICH GIVES INFLUENCE TO AVHRR NDVI DATA

Land cover change of global scale from 1982 to 1993 was studied using NOAA Pathfinder AVHRR Land (PAL) data set. In order to reduce influence of clouds, the Temporal Window Operation (TWO) method was proposed for time series NDVI data. After the investigation of the relationship NDVI data and solar zenith angle (SZA), the result shows that NDVI data with SZA of larger than 60 degrees has more atmospheric effect. By analyzing average and standard deviation of temporal NDVI, areas with unstable NDVI were extracted. The unstable NDVI does not necessary mean land cover change. Further study is necessary to separate land cover changes and other causes in unstable NDVI.
Cycloastragenol Increase in Telomere Length Leads to Faster Feather Regeneration*

Telomeres the protective ends of linear chromosomes reveal themselves not only as a good proxy in terms of longevity, but more recently also as a marker of healthy ageing in laboratory rodents. Telomere erosion is prevented by the activation of telomerase, an enzyme suspected to be also vital for tissue regeneration and which experimental activation improves health state in mice. One emerging hypothesis is that telomerase activity accounts for the frequently reported positive links between telomere lengths and individual quality in a wide range of organisms. Still, we lack an experimental approach testing the exact impact of inter-individual differences in telomere length on individual trait variability. In a first step study, we tested the impact of the cycloastragenol, a plant-derived product stimulating the expression and the activity of telomerase, on telomere lengths and flight feather renewal capacity of captive zebra finches (Taenopygia guttata). Telomere length was longer in cycloastragenol treated finches while their feather grew faster than in controls. Our data support the idea that long telomeres could reflect high telomerase activity, and in so doing be a good predictor of greater telomerase-dependent tissue regeneration, which may ultimately explain variation in organism quality and longevity.
An Experiment with Sparse Field and Localized Region Based Active Contour Interactive Segmentation Techniques on Specific Images

This paper discusses various experiments conducted on different types of Level Sets interactive segmentation techniques using Matlab software, on select images. The objective is to assess the effectiveness on specific natural images, which have complex image composition in terms of intensity, colour mix, indistinct object boundary, low contrast, etc. Besides visual assessment, measures such as Jaccard Index, Dice Coefficient and Hausdorrf Distance have been computed to assess the accuracy of these techniques, between segmented and ground truth images. This paper particularly discusses Sparse Field Matrix and Localized Region Based Active Contours, both based on Level Sets. These techniques were not found to be effective where object boundary is not very distinct and/or has low contrast with background. Also, the techniques were ineffective on such images where foreground object stretches up to the image boundary.
Association between autonomic regulation and cardiovascular risk factors in middle-aged subjects

Heart rate variability (HRV) and barorefl ex sensitivity (BRS) can be used to examine non-invasively autonomic cardiovascular regulation. Although impairments in HRV and BRS are related to adverse outcomes in various populations, the factors that determine these autonomic markers are poorly understood. The present study applied time and frequency domain analyses of the R-R interval and arterial pressure variability (APV), and cross-spectral analysis of BRS, to examine the associations of these autonomic measures with life style, psychological factors, physical fi tness, pulse pressure, hypertension, and other cardiovascular risk factors. The beat-to-beat variability of pulse pressure and its associations with cardiovascular risk factors were also studied. The results show that HRV is reduced in untreated middle-aged hypertensive subjects. Higher heart rate, advancing age, higher blood pressure, female gender, and higher plasma renin activity are independent determinants of decreased HRV according to multivariate analyses combining hypertensive subjects and healthy controls. In a healthy middle-aged general population, psychological factors, particularly increased hostility and anxiety, and increased ambulatory pulse pressure are associated with reduced BRS and increased APV. Factors pertinent to the metabolic syndrome, such as higher levels of blood pressure, body fat percentage, insulin resistance, and serum triglycerides, are associated with decreased HRV and BRS and with increased APV. The exercise capacity had opposite associations with these parameters. Increased beat-to-beat variability of pulse pressure was related to several risk factors of arterial stiffening and to impaired BRS. Measures of autonomic cardiovascular regulation are modulated by a complex interplay of several factors, and may also refl ect non-autonomic effects, such as those related to arterial stiffening.
Author’s response to reviews Title: Malnutrition risks and their associated factors among home-living older Chinese adults in Hong Kong: hidden problems in an affluent Chinese community Authors:

Title: Malnutrition risks and their associated factors among home-living older Chinese adults in Hong Kong: hidden problems in an affluent Chinese community Authors: Martin Wong (martinwong@cuhk.edu.hk) Winnie So (winnieso@cuhk.edu.hk) Kai Choi (kchoi@cuhk.edu.hk) Regina Cheung (reginacheung@naac.org.hk) Helen Chan (helencyl@cuhk.edu.hk) Janet Sit (janet.sit@cuhk.edu.hk) Brenda Ho (tcdcu@naac.org.hk) Francis Li (francisli@naac.org.hk) Tin Lee (leety@naac.org.hk) Sek Chair (sychair@cuhk.edu.hk) Version: 1 Date: 03 Apr 2019 Author’s response to reviews: Responses to comments made by Kimberley LeBlanc (Reviewer 1) Thank you very much for taking the time to review the manuscript and provide useful suggestions on how to improve it. We have addressed your comments and amended the manuscript accordingly. Below shows our responses to your comments.
Increased Temperature Facilitates Adeno-Associated Virus Vector Transduction of Colorectal Cancer Cell Lines in a Manner Dependent on Heat Shock Protein Signature

Colorectal cancer (CRC) is one of the most common cancers in human population. A great achievement in the treatment of CRC was the introduction of targeted biological drugs and solutions of chemotherapy, combined with hyperthermia. Cytoreductive surgery and HIPEC (hyperthermic intraperitoneal chemotherapy) extends the patients' survival with CRC. Recently, gene therapy approaches are also postulated. The studies indicate the possibility of enhancing the gene transfer to cells by recombinant adeno-associated vectors (rAAV) at hyperthermia. The rAAV vectors arouse a lot of attention in the field of cancer treatment due to many advantages. In this study, the effect of elevated temperature on the transduction efficiency of rAAV vectors on CRC cells with different origin and gene profile was examined. The effect of heat shock on the penetration of rAAV vectors into CRC cells in relation with the expression of HSP and AAV receptor genes was tested. It was found that the examined cells under hyperthermia (43°C, 1 h) are transduced at a higher level than in normal conditions (37°C). The results also indicate that studied RKO, HT-29, and LS411N cell lines express HSP genes at different levels under both 37°C and 43°C. Moreover, the results showed that the expression of AAV receptors increases in response to elevated temperature. The study suggests that increased rAAV transfer to CRC can be achieved under elevated temperature conditions. The obtained results provide information relevant to the design of new solutions in CRC therapy based on the combination of hyperthermia, chemotherapy, and gene therapy.
Research in the Department of Theory & BioSystems “ The good thing about science is that it ’ s true whether or not you believe in it . “

Cornell Advancing Science and Policy is a group of graduate students, post-docs and faculty interested in the intersection of science and policy. We engage our members in the policy making process and educate the public about the role of scientific input in advancing society. We provide trainings on writing and outreach, discussions of pertinent science policy topics, host invited speakers, and lead annual trips to Washington D.C. Join us to learn how to best make your voice heard, and understood, by those who represent you.
Assessment of Agriculture Impact on Water Quality with Agro-Environmental Indicators

Farmers use many of the natural resources of the world; therefore, monitoring of sustainable resource management and environmentally friendly farming practices should be an important policy aim in Latvia. The changes in market system caused conflicts among sustainable agriculture development dimensions. There is a need, thus, to determine appropriate measuring tools and methods for the evaluation of farm sustainability that would help the policy makers make rational decisions. Nitrogen leaching from intensive agricultural systems is one of major contributors to increased nitrate concentrations in groundwater and eutrophication of surface waters. Most of the changes in water quality indicators can be directly associated with the farm management in the river basin. Our results indicate that the nitrogen balance and share of arable land in a farm have significant impact on nitrogen losses.
KNOWLEDGE·BASED INTERPRETATION OF SCANNED LARGE-SCALE MAPS USING MULTI-LEVEL MODELLING

Present results of map interpretation systems still require significant manual interaction effort. This is mainly caused by a lack of high level knowledge in the systems. In this paper we introduce a multi-level model for a large-scale map as the key to improved and robust automatic map interpretation. The levels of the model are called semantic objects, graphics and text, image graph and image. Objects, operations to be performed on the objects and relations between the objects are presented for each level. Mixed bottom-up and top-down reasoning is performed by instantiating the concepts of a semantic network built up from the semantic objects, the graphics and text and the image graph levels. The interpretation uses relations on attributed arcs and nodes as well as template matching on the image. First results for the interpretation of a Bavarian cadastral map of scale 1 : 1000 are presented.
ON THE RATIONALITY OF NON-GORENSTEIN Q-FANO 3-FOLDS WITH AN INTEGER FANO INDEX

1.1. The main purpose of this article is to prove the following: Theorem: Let X be a non-Gorenstein Q -Fano 3-fold with canonical singularities, such that KX H, where H is a Cartier divisor. If H 10, then X is rational. 1.2. The main application of 1.1 is the following: Corollary: Let X be a normal 3-fold and H be a hyperplane section of X, such that H is an Enriques surface with Du Val singularities. Then either X is a cone over H or X is rational. Proof: It follows from [Ch] that X is non-Gorenstein, 2KX 2H and either X is a cone over H or X has canonical singularities. In the last case H 10 (see [CD]) and X is rational by 1.1. 1.3. Remark: In 1.2, we can assume that X is even non-normal, but the properties of H imply that X is reduced and irreducible. In that case, it follows from [KMM, 7-2-4] that X has canonical Gorenstein singularities along H. Thus, we can take the normalization of X and repeat proof of 1.2 using 1.1. 1.4. Biregular classi cation of 3-folds containing Enriques surface as a hyperplane section was considered by G. Fano in [F], where he \proved" that they are rational and even \classi ed" them, but his paper is incorrect. A. Conte and J.P. Murre renovated G. Fano's ideas in [CM] conjecturing unproved facts. 1.5. From the modern point of view, 1.4 can be generalized in the following way: Problem: To classify all normal 3-folds containing Enriques surface with Du Val singularities as an ample Cartier divisor. 1.6. De nition: Let X be a 3-fold with canonical singularities, such that KX is ample, i.e. Q -Fano 3-fold with canonical singularities. Fano index of X is the maximal number , such that KX H, where H is a Cartier divisor. is a well-de ned positive rational number. 1.7. In [Ch] I proved the following: Theorem: Let X be a normal 3-fold and H be an ample Cartier divisor on X, such that H is an Enriques surface with Du Val singularities. Then either X is a generalized cone
Smoothing Estimates of Diffusion Processes

We present a novel method to sample efficiently from the posterior distribution over hidden diffusion processes given a time series of noisy observations. We use high-performance computing to increase iteratively the effective sample size (ESS) of the posterior, or "smoothing" distribution. This is done using an adaptive importance sampler based on the path integral cross entropy (PICE) control theory [16]. We call this method PICE Smoother (PICES). The novelty of this method vis-à-vis [16] and [24] is the implementation of the learning rule (5) to deep neural networks, its comparison to the bootstrap particle filter-smoother and its application to fMRI data.
THE DIVERSITY OF CROP STRUCTURE IN CUTOVER NATURAL FOREST, CENTRAL KALIMANTAN

Logging activities will have an impact on crop structure, composition, and species diversity. The research results showed that the composition and crop structure at each location were heterogeneous, as indicated by a very stable species diversity index. The types crop structure at the level of seedlings, stakes, poles, and trees from each location were also heterogeneous. There were, however, some of the same types encountered which dominated the locations of 2005, 2010 and 2015 such as Shorea sp, Dipterocarpus borneensis, Calophyllum inophyllum, Dehaasia sp. , Syzygium sp. The stand density at the site in 2005 was lower compared to the two locations in 2010 and 2015, while the location of 2010 had the highest species density of 10,800 species/ha. The highest INP (Important Value Index) value in five species of plants in three locations was dominated by Shorea sp by 48.2%. The high level of species diversity (H ') indicated that the site has good habitat, good soil fertility, and good climatic conditions. However, the value of species richness index (R) was low with R <3.5. The value of species evenness index (E) was quite evenly distributed across three locations due to the vegetation structure where plant species grow strongly for the survival of different plant species at each growth level such as seedlings, stakes, poles, and trees.
Sustainable Reuse of Treated Wastewater for Agriculture

The objective of the study was to evaluate the effect of using treated wastewater as an alternative to fresh water for wheat ( methods. The experiment was conducted in plots of 2*3 m in the Agricultural Experimental Station of Sultan Qaboos University, Oman. Each plot had either a drip irrigation system or furrow bed of 60 cm width. Wheat was sown and all required parameters for soil and plants were measured. Plants were irrigated daily by drippers or every five days by furrows based on crop evapotranspiration value added some salts to the root zone with less salts found in furrow bed method due to heavy leaching process occurred during irrigation. However, the general data didn’t show a significant difference (p<0.05) in soil salinity between both irrigat wastewater has some extra nutrients compared to freshwater therefor plant growth was better with treated wastewater and almost all growth parameters were higher with treated wastewater compared to freshwater. Irrigation methods parameters. However, wheat irrigated by drip gave better biological yield compared to furrow bed irrigation. Generally, all measured data collected from both irrigation methods didn’t show any significant difference (p<0.05). Water with furrow bed compared to drip method. This indicates the higher efficiency of furrow bed compared to old method of furrow irrigation. However, drip irrigation could be better in reducing evaporated water whereas fu lower cost and high productivity.
New Proposed Classic Cluster Layer Architecture for Mobile Adhoc Network (cclam)

Organization, scalability and routing have been identified as key problems hindering viability and commercial success of mobile ad hoc networks. Clustering of mobile nodes among separate domains has been proposed as an efficient approach to address those issues. In this work, we introduce an efficient distributed clustering layer algorithm that uses location metrics for cluster formation and we divided cluster in layers to secure our ordinary nodes. Our proposed solution mainly addresses cluster stability and manageability issues. Also, unlike existing active clustering methods, our algorithm relieves the network from the unnecessary burden of control messages broadcasting, especially for relatively static network topologies. The efficiency, scalability and competence of our algorithm against alternative approaches have been demonstrated through algorithm.
Poster: An Alert System to Avoid Financial Fraud

In the modern information society online transactions are an important part of our daily lives. In this work we present an alert system that determines the current threat level of financial fraud in the internet. We use data from different sources and off-the-shelf machine learning algorithms to compute the current threat level. Based on the threat level our alert system issues alerts to raise users awareness of current attack vectors. We tested our approaches with real world online banking frauds. Our preliminary results suggest that this mechanisms can be effectively used to warn users about the current threat situation and therefore help avoiding financial fraud.
Use of Gliricidia sepium, Leucaena leucocephala and Paraserianthes falcataria leaves in concentrates to improve the appearance of young male goats Peranakan Etawa in East Java, Indonesia

Goat livestock productivity in Indonesia needs to be improved through improved feed quality. Various kinds of tree foliage including legumes have high crude protein content. The use of plant leaves as a protein supplement was expected to improve feed quality and production performance of goats. This research produced green concentrate (16% crude protein/CP) based on leaves of local tree foliage. Green concentrate formulation used a mixed leaf of Gliricidia maculata, Leucaena leucocephala, and Paraserianthes falcataria (1: 1: 1 ratio) as much as 10%, 20% and 30%. The control treatment uses commercial concentrate (SUSU PAP). Concentrate feed was given as much as 1% body weight (BW). The measured variables include: (a). Feed intake, (b). Digestibility, (c). Average Daily Gain (ADG), feed conversion, balance nitrogen (BN) and biological value (BV). The results showed that feed intake varied, but between treatments showed almost the same response except crude fiber intake (CFI). The use of mixed leaf meal up to 30% resulted in a significant increase in the CFI (23.87-24.41 g.kg -1 BW 0.75 .day -1 ) more than control feed (21.56 g .kg -1 BW 0.75 .day -1 ). The value of crude protein (CP), CF and Extract eter (EE) digestabillity showed better responses with increasing use of mixed leaf meal. The CP digestability value followed by the highest ADG was obtained for the use of 30% mixed leaf meal. It was concluded that the use of green concentrate with 30% mixed leaf meal as much as 1.0% BW can improve the appearance of goats with ADG of 118.31 ± 5.27 ab g.head -1 . day -1 .
Rules Of Engagement: A Case Of Employees In Jubilee Insurance

Organizations are striving to find better ways of engaging their employees since many organizations have realised that workers are the most imperative resource for achieving their goals. The objective of the study was to find out the factors affecting employee engagement at jubilee insurance. Descriptive survey was used as a research design and questionnaires distributed to the 175 respondents from a population of 580. Factor analysis was employed used for analysing data. Results indicated that four major factors influence employee engagement. It is recommended that managers should ensure they have a good relationship with employee and encourage teamwork in the organization.