Miracle-dz/UniFAR-FTUs huggingface dataset:
Javan Rhino (Rhinoceros sondaicus Desmarest 1822) Utilization Distribution and Habitat Selection in Ujung Kulon National Park

Javan rhino (Rhinoceros sondaicus Desmarest 1822) is one of world's rarest endangered species (IUCN 2008). Currently, their distribution is limited to Ujung Kulon National Park (UKNP) of Indonesia. Natural disasters, disease, poaching, encroachment, and competition are threats facing Javan rhino's population, hence creating pockets of habitats outside the UKNP was necessary and should be based on scientific studies of javan rhino utilization distribution and habitat selection in UKNP as the natural habitat. The objectives of the study were to determine the utilization distribution of Javan rhino and its habitat characteristics and determine javan rhino habitat selection within UKNP. The research indicated that Javan rhinos highest use of areas comprised of swampy shrub (w = 2.197) and shrub (w = 2.012), relatively open habitat (w = 4.233), flat area (w = 1.313) and slightly sloping areas (w = 1.007), lowland (w = 1.346), close to river (w = 1.087), close to road network (w = 1.395), close to coasts/beaches (w = 1.862), close to wallowing areas (w = 3.709), and close to rumpang (w = 3.783). The results suggested that javan rhino showed selection and preferences for its habitat.
Precognition: Automated Digital Forensic Readiness System for Mobile Computing Devices in Enterprises

Enterprises are facing an unprecedented risk of security incidents due to the influx of emerging technologies, like smartphones and wearables. Most of the current mobile security systems are not maturing in pace with technological advances; they lack the ability to learn and adapt from the past knowledge base. In the case of a security incident, enterprises find themselves under-prepared for the lack of evidence and data. The systems are not designed to be forensic ready. There is a need for automated security analysis and forensically ready solution, which can learn and continuously adapt to new challenges, improve efficiency and productivity of the system. In this research, the authors have designed a security analysis and digital forensic readiness system targeted at smartphones and wearables in an enterprise environment. The proposed system detects applications violating security policies, analyzes Android and iOS applications to identify possible vulnerabilities on the server, and applies machine learning algorithms to improve the efficiency and accuracy of vulnerability prediction. The system continuously learns from past incidents, and proactively collects required information from the devices which can help in digital forensics. Machine learning techniques are applied to the set of features extracted from the decompiled mobile applications and applications classified based on consisting of one or more vulnerabilities. The system was evaluated in a real-world enterprise environment with 14151 mobile applications and vulnerabilities was predicted with an accuracy of 94.2%. The system can also work on virtual instances of the mobile devices.
Diet of grey-headed albatrosses at the Diego Ramírez Islands, Chile: ecological implications

The diet of grey-headed albatrosses at Diego Ramírez was analysed and compared to that of the sympatric black-browed albatross. Diet composition was inferred from an analysis of prey hard parts present in 103 chick regurgitates obtained during breeding seasons 2000, 2001 and 2002. The squid Martialia hyadesi predominated in the diet samples in 2001 and 2002 (89% and 81% of reconstituted mass), but was absent from the 2000 samples. Reconstituted mean mass per sample in 2000 was significantly lower than in 2001 and 2002. Chick growth rate during 2000 was also the lowest recorded. This suggests that M. hyadesi plays an important role in the breeding performance of grey-headed albatrosses at Diego Ramírez. Low presence of M. hyadesi in grey-headed albatrosses' diet at South Georgia in 2000, a year with significant low breeding success, suggests ocean-wide processes affecting the availability of this prey to both populations simultaneously. Overlap in diet composition, and inferred feeding areas, between the sympatric albatross species at Diego Ramírez was minimal. Grey-headed albatrosses fed mainly on species associated with the Antarctic Polar Front, whereas black-browed albatrosses consumed benthopelagic species frequently caught in fishing operations in southern Chile.
A flexible model for the collaborative annotation of digitized literary works

XML Gayoso-Cabada, Joaquin, Universidad Complutense de Madrid, Spain, gayoxo@gmail.com Ruiz, Cesar, Universidad Complutense de Madrid, Spain, cruiz85@gmail.com Pablo-Nuñez, Luis, Universidad Complutense de Madrid, Spain, lpnunez@filol.ucm. es Sarasa-Cabezuelo, Antonio, Universidad Complutense de Madrid, Spain, asarasa@fdi.ucm. es Goicoechea-de-Jorge, Maria, Universidad Complutense de Madrid, Spain, mgoico@filol.ucm. es Sanz-Cabrerizo, Amelia, Universidad Complutense de Madrid, Spain, amsanz@filol.ucm. es Sierra-Rodriguez, Jose-Luis, Universidad Complutense de Madrid, Spain, jlsierra@fdi.ucm. es
Monoacylglycerol lipase is a new therapeutic target for Alzheimer ’ s disease

Rongqing Chen1,4, Jian Zhang1,4, Yan Wu1, Dongqing Wang3, Guoping Feng3, Ya-Ping Tang2, Zhaoqian Teng1, and Chu Chen1 1Neuroscience Center of Excellence, Louisiana State University Health New Orleans Sciences Center, New Orleans, LA 70112 2Department of Anatomy and Cell Biology, School of Medicine, Louisiana State University Health New Orleans Sciences Center, New Orleans, LA 70112 3McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
THE LONG-TERM EFFECTS OF COLONIAL LAND TENANCY : MICRO EVIDENCE FROM INDIA

This paper uses household survey data from India to examine the impact of historic land tenure institutions on economic and social outcomes for households today. It offers evidence on specific channels through which the structure and quality of land tenure (i.e. revenue collection) systems could persist today. We find that districts where land ownership was dominated by landlords, today have lower annual income, per capita consumption, and cumulative household asset levels than districts which were characterized by non-landlord tenure systems. Households in landlord districts are more likely to have narrower social networks and lower levels of memberships in community organizations, weaker propensity to work collectively in solving communal problems, and are more likely to be subject to crime than district where non-landlord systems were prevalent. Our results are significant and robust to a diverse set of controls.
Particle-Imaging Techniques for Experimental Fluid Mechanics

An important achievement of modern experimental fluid mechanics is the invention and development of techniques for the measurement of whole, instantaneous fields of scalars and vectors. These techniques include tomographic interferometry (Hesselink 1988) and planar laser-induced fluorescence for scalars (Hassa et al 1987), and nuclear-magnetic-resonance imaging (Lee et al 1987), planar laser-induced fluorescence, laser-speckle velocimetry, particle-tracking velocimetry, molecular-tracking velocimetry (Miles et al 1989), and particle-image velocimetry for velocity fields. Reviews of these methods can be found in articles by Lauterborn & Vogel (1984), Adrian (1986a), Hesselink (1988), and Dudderar et al (1988), in books written by Merzkirch (1987) and edited by Chiang & Reid (1988) and Gad-el-Hak (1989).
Eye-Gaze Tracking in Near-Eye Head-Mounted Displays

Existing near-eye microlens display designs do not account for variations in the user’s eye pose. This can lead to incorrectly rendered content thus degrading the overall experience. In this paper we describe the design of a microlens display equipped with an eye-gaze tracking camera. We describe how to calibrate the HMD so that the camera can be used for accurate 6DOF eye-pose estimation, present an approach to reduce the blur of presented images and present a method to simulate the user’s perception. Initial experiment results suggest that our approach provides a more accurate representation than images taken with a camera. In the future an evaluation of the system will provide important information for design of near-eye wide-field-of view HMDs. Author
Benchmarking Named Entity Recognition Tools for Portuguese

There has been much work in the Information Extraction field, particularly in the Named Entity Recognition task. However, for the Portuguese language, the implementations still perform below the results for other languages, as shown by the HAREM conferences. The goal of this work is to assess the current performance of well established tools, namely Stanford CoreNLP, OpenNLP, spaCy and NLTK, against a Portuguese dataset, specifically the HAREM gold standard collection. These tools were used with an out-of-the-box approach, meaning without any tuning. The results show that the referred tools can match the results of Portuguese state-of-the-art tools, presented in the HAREM conferences, specifically, Stanford CoreNLP with an F-measure of 56.10%, OpenNLP with 53.63%, spaCy with 46.81% and NLTK with 30.97%. Furthermore, a hyperparameter study was performed, improving over the default configurations, for about 2% in each tool, and almost 35% in NLTK’s MaxEnt classifier.
Preliminary phytochemical screening and HPTLC fingerprinting of fruits of three Ficus species

India being a rich and varied flora of medicinal plants since the Vedic period. The present study deals with the scientific validation of three Ficus species Ficus benghalensis (Indian banyan), Ficus racemosa (gular) and Ficus religiosa (bo tree or sacred fig) with special reference to its pharmacognostical and phytochemical investigations. This is commonly known as gular, Indian banyan, sacred fig and is known to have medicinal properties, also even used as home remedies in the rural and the remotest parts of the India. The fruit of Ficus benghalensis used as astringent, haemostatic, anti-septic, anti-inflammatory, antioxidant and anticancer agent and also in the treatment of diarrhoea, dysentery and in the treatment of skin diseases, ulcers, vaginal disorders, leucorrhoea, menorrhagia and deficient lactation, the fruit of Ficus racemosa is medicinally more used for the treatment of diabetes, diarrhoea, dyspepsia, menorrhagia, haemoptysis, intrinsic haemorrhage, excessive thirst, visceral obstructions,. The seeds and fruits of Ficus religiosa are digestive, laxative and refrigerant. The dried fruit asthma, diseases of vagina. vomiting, anorexia and edema; therefore an attempt has been made to carried out the detailed quality control and assurance of the drug followed by HPTLC profiles, physiochemical analysis, preliminary phytochemical studies and fluorescence analysis of drug to get authentic therapeutic value.
Psychometric Validation of the EORTC QLQ-PAN26 Pancreatic Cancer Module for Assessing Health Related Quality of Life after Pancreatic Resection

Context The European Organization for Research and Treatment of Cancer has developed the PAN26 instrument to measure quality of life in patients with pancreatic cancer. Its use has been increasing, but it has not yet undergone psychometric validation in a large cohort or in the setting of pancreatic resection. Objective We aimed to validate the PAN26 in patients undergoing pancreatic resection using a highquality Phase III clinical trial dataset. Methods The European Organization for Research and Treatment of Cancer core questionnaire and pancreatic cancer module were administered pre-operatively and at 14 and 60 days post-operatively to 300 patients enrolled in a Phase III trial of pasireotide to prevent pancreatic fistula. Multi-trait scaling analysis was performed; construct validity and internal consistency were assessed. Results With the exception of the hepatic scale, the PAN26 scales had adequate internal consistency (Cronbach’s alpha = 0.69 - 0.97), and items were more correlated with their own scale than other scales, indicating appropriate aggregation. Adenocarcinoma diagnosis was associated with worse scores on multiple scales. As expected, the PAN26 and C30 pain scales were highly correlated (>0.7). Conclusions In the largest psychometric analysis to date of the PAN26, we demonstrated that the scales are reliable and valid, although the appropriateness of the hepatic scale in the post-operative setting may need more examination. We observed differences by final diagnosis (adenocarcinoma or benign), and have shown previously that scores on symptom scales were worse post-operatively than at baseline, confirming the sensitivity of the PAN26 to detect clinically meaningful differences in quality of life. Received Jul
Europe d Proceedings of the Fourth Annual DFRWS Europe Force Open : Lightweight black box fi le repair

We present a novel approach for automatic repair of corrupted files that applies to any common file format and does not require knowledge of its structure. Our lightweight approach modifies the execution of a file viewer instead of the file data and makes use of instrumentation and execution hijacking, two techniques from software testing. It uses a file viewer as a black box and does not require access to its source code or any knowledge about its inner workings. We present our implementation of this approach and evaluate it on corrupted PNG, JPEG, and PDF files. © 2017 The Author(s). Published by Elsevier Ltd on behalf of DFRWS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
SOFT COMPUTING OPTIMIZATION TECHNIQUES FOR SOLAR PHOTOVOLTAIC ARRAYS

This paper presents the soft computing optimization techniques to address the Maximum Power Point Tracking (MPPT) of Solar Photovoltaic (SPV) array under partial shaded conditions. Partial shaded SPV modules produce several local maximum power points, which makes the tracking of the Global Maximum Power Point (GMPP) a difficult task. Most of conventional tracking methods fail to work properly under partial shaded conditions. Methods proposed by some authors track the GMPP with some limitations. In this paper, three different soft computing techniques like Genetic algorithm (GA), Differential evolution (DE) and Particle Swarm optimization (PSO) techniques have been applied for GMPP tracking. The performances of these techniques are compared in respect of their tracking time and accuracy.
Review: Recent Developments of Carbon Nanotubes Hybrid Assemblies for Sensing

In this review, we discuss state-of-the-art sensing methods for the detection of chemical and biological molecules, using a well-known and much studied material, carbon nanotubes, as the hybrid materials for fabrication assemblies. CNTs possesses a wide range of unique characteristics, including intriguing physical properties, higher aspect ratios, larger surface area, better chemical and thermal stability, and electronic and optical properties. The objective of this review is to present an overview of the synthetic strategies and their applications in both amperometric sensors and SPME fiber coatings. These methods are fast, sensitive, cheap and suitable for in-situ monitoring. We comprehensively review the mechanisms, the principles and the performances of chemical sensors and biosensors available in the literature.
Phytochemical Screening, Extraction of Essential Oils and Antioxidant Activity of Five Species of Unconventional Vegetables

Unconventional vegetables, in general, are plants that have been largely consumed by the population at some point and, because of changes in eating behavior, now present reduced economic and social expression and have lost ground to other vegetables. The objectives of this study were to perform phytochemical screening of the ethanol extracts of Rumex acetosa L. , Tropaeolum majus L. , Solanum muricatum, Stachys byzantina K. Koch and Solanum betaceum Cav. and evaluate their antioxidant potentials via the methods involving scavaging of the DPPH free radical and the ABTS radical, phosphomolybdenum and reducing power. In phytochemical screening, five species of unconventional vegetables tested positive for tannins; for sesquiterpene, lactones and other lactones. These tests were positive for Tropaeolum majus L. and Rumex acetosa L. , Solanum betaceum Cav. and Solanum muricatum tested negative for steroids. Only Solanum betaceum Cav. gave positive tests for flavonoids. Among the five plant species studied, Stachys byzantina K. Koch presented the greatest antioxidant potential in all the methods evaluated.
Cosmetic Features Extraction by a Single Image Makeup Decomposition

In recent years, a large number of makeup images have been shared on social media. Most of these images lack information about the cosmetics used, such as color, glitter or etc., while they are difficult to infer due to the diversity of skin color or lighting conditions. In this paper, our goal is to estimate cosmetic features only from a single makeup image. Previous work has measured the material parameters of cosmetic products from pairs of images showing the face with and without makeup, but such comparison images are not always available. Furthermore, this method cannot represent local effects such as pearl or glitter since they adapted physically-based reflectance models. We propose a novel image-based method to extract cosmetic features considering both color and local effects by decomposing the target image into makeup and skin color using Difference of Gaussian (DoG). Our method can be applied for single, standalone makeup images, and considers both local effects and color. In addition, our method is robust to the skin color difference due to the decomposition separating makeup from skin. The experimental results demonstrate that our method is more robust to skin color difference and captures characteristics of each cosmetic product.
SIGN LANGUAGE RECOGNITION WITH MULTI FEATURE FUSION AND ADABOOST CLASSIFIER

Extracting and recognizing complex human movements from video sequences is a challenging task. In this paper a complicated problem from the class is approached using Indian sign language videos. A new segmentation model is developed using discrete wavelet transform and local binary pattern (LBP) features for segmentation. A 2D point cloud is created from the local sign shape changes in subsequent video frames. The classifier is fed with 2 types of features calculated from Global Haar features and Local LBP features. We also explore multiple feature fusion models after segmentation for improving the classification process with state of the art features such as HOG, SIFT and SURF. The extracted features input the Adaboost multi class classifier with labels forming the corresponding words. We test the classifier on Indian sign language video dataset prepared in controlled environments. The algorithms were tested for accuracy and correctness in identifying the signs.
Iterative learning control for the linear model with a singular feedthrough term via LQAT

In this paper, we propose an iterative learning control (ILC) strategy for the continuous-time linear time-invariant (LTI) model with a singular feedthrough term, from input to output. By combining with the linear quadratic analogue tracker (LQAT), the transient performance improvement is achieved through the initial control input, at the 0th iteration, obtained by the LQAT. Initially, we propose the PD-type iterative learning controller together with initial state learning law, and sufficient condition to guarantee the convergence of tracking error is derived. Thereafter, a novel LQAT, with a high-gain property, for the model under consideration is constructed. The role of LQAT is to obtain first (initial) control input of the ILC scheme. A numerical example illustrates the effectiveness of the proposed strategy.
ACL 2018 Cognitive Aspects of Computational Language Learning and Processing Proceedings of the Eighth Workshop

The task of taking a semantic representation of a noun and predicting the brain activity triggered by it in terms of fMRI spatial patterns was pioneered by Mitchell et al. (2008). That seminal work used word co-occurrence features to represent the meaning of the nouns. Even though the task does not impose any specific type of semantic representation, the vast majority of subsequent approaches resort to featurebased models or to semantic spaces (aka word embeddings). We address this task, with competitive results, by using instead a semantic network to encode lexical semantics, thus providing further evidence for the cognitive plausibility of this approach to model lexical meaning.
Distribution and Fractions of Phosphorus and Nitrogen in Surface Sediments from Dianchi Lake, China

Dianchi Lake is one of the most three seriously eutrophic lakes in China. In the present study, the phosphorus (P) and nitrogen (N) fractions in 37 surface sediments samples collected in the Dianchi Lake were investigated. The total phophorus (TP) in sediments was divided into two parts: inorganic P (IP) and residual P (Res-P). The results showed that the total phosphorus content in surface sediments ranged from 1465.27 to 3650.12 mg/kg, IP was the major component of TP and the Ca bound P was the main fraction of IP. The bio-available phosphorus (BAP) in Dianchi Lake was first estimated in this study. BAP ranged from 215.66 to 678.02 mg/kgand the mean concentration was 382.78±89.77 mg/kgfor all 37 samples. The nitrogen fractions for the whole Dianchi Lake were firstly studied. It was shown that the sediment had been an important N nutrient source of the water, owing to the high content of transferable nitrogen forms in the sediment.
Reproductive performance of sows submitted to intrauterine insemination.

The objective of this study was to evaluate the reproductive performance of sows artificially inseminated by the intrauterine (IAIU) technique. The experiment was arranged in a randomized complete block design, with 300 sows being distributed in five insemination techniques: control, intra-cervical (IAIC) with 3x109 spermatozoa/100 mL; intrauterine (IAIU) with 1x109 spermatozoa/100 mL; intrauterine with com 1x109 spermatozoa/50 mL; intrauterine with 5x108 spermatozoa/100 mL; and intrauterine com 5x108 spermatozoa/50 mL. The sows submitted to intrauterine insemination presented a farrowing rate of 90.8% and return to estrus rate of 9.2%, which did not differ from the rates obtained by the intra-cervical technique (90.0% and 10.0%, respectively). Total litter size did not differ between the techniques, with the means being from 11.4 to 11.9 piglets at farrowing. Although 4.6% of the sows submitted to intrauterine artificial insemination had difficulty with pipette insertion into the cervix, 100% of them were inseminated. When evaluating semen backflow, no difference was found between the intra-cervical and intrauterine insemination techniques. However, total semen backflow was higher in sows submitted to inter-cervical insemination. No difference was found in the presence of blood between the two methods evaluated. Hence, any of the intrauterine insemination techniques can substitute inter-cervical artificial insemination without damaging the reproductive performance of the animals.