Miracle-dz/UniFAR-FTUs huggingface dataset:
Amino Acid Composition of Developing Larval Freshwater Prawn Macrobrachium rosenbergii

— Amino acid profiles of freshwater prawn Macrobrachium rosenbergii were determined during early larval stages (I-IX) to provide some baseline biochemical information of the growing larvae. The larvae obtained from several females were stocked into three 250-L tanks at a density of 30 larvae/L. The feeding regime consisted of newly hatched Artemia nauplii and egg custard containing 5% cod liver oil. For each developmental stage, larval samples from each experimental tank were pooled, freeze dried and after acid hydrolysis, the quantification of amino acids was done by a reverse phase high performance liquid chromatography (N= 2). The highest represented of the total amino acids were for glutamic acid and phenylalanine (with cystine) with ranges from 13.4–16.6 and 9.7–11.5%, respectively, whereas tryptophan (1.4–1.6%). methionine (1.4–2.7%) and histidine (2.9–4.2%) were relatively lower. The levels of the following essential amino acids did not significantly change during larval development: arginine, leucine, phenylalanine (plus cystine), threonine, tryptophan and valine. Despite statistically significant changes that were observed in levels of some amino acids, amino acid composition appeared to be relatively unchanged during the larval growth. The results may suggest that the amino acid requirements of the freshwater prawn is relatively constant during larval life and can be satistied by a suitable protein source that resembles the larval amino acid profile.
The Croonian Lecture - On the arrangement of the muscular fibres of the ventricular portion of the heart of the mammal

The Lecturer began by referring to the descriptions of the arrangement of the ventricular fibres of the heart given by previous inquirers, more especially Lower, Senac, Wolff, Gerdy, Duncan, and Reid; he then proceeded to give an account of the results of his own investigations, which had been conducted on the hearts of the Sheep, Calf, Deer, Ox, Horse, &c. ; all of which, he observed, bear a perfect resemblance to the human heart. In order, as much as possible, to overcome the difficulties of the subject, he availed himself of drawings, explanatory diagrams, and models illustrating the course and relation of the fibres. To these last, however, he observed he attached no special importance, further than that they were useful vehicles of communication; and it was to the dissections themselves, some of which were before the Society, that he looked for a corroboration of the statements he advanced. Commencing with the left ventricle, which he believes to be the typical one, the Lecturer stated that, by exercising a little care, he had been enabled to unwind as it were its muscular substance, and so to separate its walls into several layers, each of which is characterized by a difference in direction. Seven layers, at least, can be readily shown by dissection; but he believes they are in reality nine; viz. four external, the fifth or central, and four internal. He explained how the external fibres are continuous with the internal fibres at the apex, as was known to Lower, Gerdy, and others and how the fibres constituting the several external layers are continuous with corresponding internal layers likewise at the base,— a fact to which the Lecturer drew particular attention, as being contrary to the generally received opinion, which is to the effect that the fibres at the base are non-continuous, and arise from the auriculo-ventricular tendinous rings—which, as he showed by numerous dissections, is not the case.
Reproductive Success, Group Size, and the Evolution of Cooperative Breeding in the Acorn Woodpecker

Acorn woodpeckers are cooperative breeders which live in family groups of up to 12 adults. Analysis of the reproductive success and subsequent survivorship of young within groups indicates that (1) yearly variation in conditions, (2) prior group history, (3) territory quality, and (4) group size all contribute substantially to the variability of these data. Of these, (1) and (2) are the most important. An analysis of covariance of reproductive success versus variables (1) to (4) above indicates that when the effects of the other variables are controlled, only yearly variation in conditions and prior group history are consistently significant in their effects on reproductive success. Reproductive success per group, controlling for variables (1) to (3), increases with group size up to size 7-8 but reproductive success per bird declines with increasing group size. Groups of size 7-8 produce the most total offspring, but simple pairs produce more young per individual than groups of any larger size. Similarly, two females nesting together produce more total offspring but fewer offspring per female than those nesting by themselves. A review of previously published data indicates that pairs are either the most productive group size or as productive as any larger group size in a wide variety of other cooperative species. The few data available further suggest that adult survivorship does not increase significantly with increasing group size in cooperative species. For species in which this is the case, group living cannot have evolved as a response to ecological factors favoring group exploitation of resources or group defense against predators. Instead, individuals must be ecologically "forced" to accept the option of group living in order to maintain access to a localized and limited resource without which reproduction and survivorship are severely impaired. For most cooperative species we have little idea what this resource might be, but in acorn woodpeckers the localized resource may be storage trees in which groups store acorns in the fall.
Dimensionality of quality from a customer perspective in the wood industry

This research analyzes product quality from a customer perspective in the case of the wood products industry. Of specific interest is to understand better how environmental quality is perceived from a customer perspective. The empirical material used comprises four datasets from Finland, Germany and the UK, collected during 1992 – 2004. The methods consist of a set of quantitative statistical analyses. The results indicate that perceived quality from a customer perspective can be presented using a multidimensional and hierarchical construct, with tangible and intangible dimensions, that is common to different markets and products. This applies in the case of wood products but also more generally at least for some other construction materials. For wood products, tangible product quality has two main sub-dimensions: technical quality and appearance. For product intangibles, a few main quality dimensions seem detectable: Quality of intangibles related to the physical product, such as environmental issues and product-related information, supplier-related characteristics, service and sales personnel behavior. In the case of wood products, environmental quality and information are often perceived as being inter-related. Technical performance and appearance are the most important considerations for customers in the case of wood products. However, organizational customers in particular also clearly consider certain intangible quality dimensions to be important, such as service and supplier reliability. The high technical quality of the tangible product may be considered as a “license to operate”, but product appearance and intangible quality provide potential for differentiation for attracting certain market segments. Environmental quality may not have been used to its full extent to attract customers, and one possibility is to increase the availability of the environment-related information, or to develop environmentrelated product characteristics to also provide some specific individual benefits. The results indeed indicate that wood products markets are segmented with regard to quality demands.
Proactive behavior of a humanoid robot in a haptic transportation task with a human partner

In this paper, we propose a control scheme that allows a humanoid robot to perform a complex transportation scenario jointly with a human partner. At first, the robot guesses the human partner's intentions to proactively participate to the task. In a second phase, the human-robot dyad switches roles: the robot takes over the leadership of the task to complete the scenario. During this last phase, the robot is remotely controlled with a joystick. The scenario is realized on a real HRP-2 humanoid robot to assess the overall approach.
APPLICATION OF THE BAYES RULE FOR ENHANCING THE PERFORMANCE OF THE BAGGING ENSEMBLE TO DETECT ABNORMAL MOVEMENTS ONBOARD AN AIRCRAFT

This paper presents a novel approach to the detection of abnormal passangers’ movements onboard an aircraft. Firstly, it uses the simple indicators of the total passengers’ movements along the aisle and in their seats as classification features. Secondly, five machine learning classifiers are studied, namely: decision trees, SVM with Gaussian kernel, bagging ensemble, boosting ensemble and RUSBoost ensemble classifiers. The ROC curve, the confusion matrices and the McNemar tests are shown and conducted. Finally, we propose a method of enhancing the performance of the bagging ensemble using Bayes rule. The bagging ensemble are found to have a classification accuracy of about 65% which was increased by the application of the Bayes rule method to about 89.2%. The performance results of each method is reported and discussed.
Postprandial triglyceride-rich lipoproteins in insulin resistance and Type 2 diabetes

Recent evidence from prospective epidemiological large-scale studies have provided convincing proof for the role of nonfasting triglycerides, carried in VLDL and chylomicrons, as an independent risk factor for cardiovascular disease and death. Overproduction of large VLDL1 by the liver on one hand, and accumulation of apoB-48-containing triglyceride-rich lipoproteins (TRLs) on the other hand are present before overt hyperglycemia, highlighting the role of insulin resistance as an early pathogenic defect. Multiple insulin action sites demonstrate insulin resistance in the liver, adipose tissue and muscle, as well as in the intestine. Together, these perturbations of insulin action contribute to the overproduction of atherogenic VLDL and chylomicron remnant particles. Consequently, the vascular wall endothelium is exposed to exaggerated cholesterol influx resulting in endothelial dysfunction, oxidative stress and prothrombotic state during subsequent meals over the 24-h period. This overview summarizes curr.
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild

Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We address this issue by presenting Open Annotations of Single Image Surfaces (OASIS), a dataset for single-image 3D in the wild consisting of annotations of detailed 3D geometry for 140,000 images. We train and evaluate leading models on a variety of single-image 3D tasks. We expect OASIS to be a useful resource for 3D vision research. Project site: https://pvl.cs. princeton.edu/OASIS.
ANALYSIS OF DC-DC CONVERTER WITH MULTIPLIER CELLS FOR HIGH VOLTAGE GENERATION

This paper emphasizes the design of a DC-DC converter to produce high voltage from a low input DC voltage by using multiplier cells instead of a transformer. The low input DC voltage is converted to AC with the help of four switches operating in two different frequencies. Further, this AC voltage is given to the voltage multiplier cells for desired high output DC voltage. The output DC voltage produced has high efficiency, high voltage gain, low ripple, low switching losses and less noise. Two independent frequencies operate in this system, one is known as modulating frequency and the other is alternating frequency which work in high level and low level respectively. A prototype of the proposed model is constructed and the output is compared with the simulated model. The model is again reconstructed by a feedback control for constant output with variable input voltages.
An Efficient Offline Hand Written Character Recognition using CNN and Xgboost

: The purpose of this paper is to legitimize and implement the usage of Convolutional neural networks (CNN) in parallel with XGBoost model to improve handwriting Recognition systems. The usage of CNNs in recognizing handwritten characters is a broadly researched project yet the inclusion of different types of classification models along with CNN is sparse. The learning model proposed in this paper is based on (CNN) as a feature extraction tool and XGBoost as an accurate prediction model. The XGBoost gradient boosting model is evaluated for loss function and regularization and an appropriate objective function is decided. With the proposed method in which CNN and XGBoost are used together there is an expected increase in accuracy rate and total computation time. The model is trained and evaluated using the NIST special database 19 dataset which consists of 810,000 isolated character images including lower case, upper case and digits in the english language. The improvement in accuracy is in comparison with the handwriting recognition model which uses CNN alone and is augmented with the use of tree ensembles model which is XGBoost. The improved accuracy percentages are specified separately for lowercase letters, uppercase letters and numeral characters.
Fundamental Matrix: Digital camera calibration and Essential Matrix parameters

: The Fundamental Matrix, based on the coplanarity condition, even though it is very interesting for theoretical issues, it does not allow to find the camera calibration parameters, and the base and rotation parameters altogether. In this work there is presented an easy calibration method for calculating the internal parameters: pixel dimensions and image center pixel coordinates. We show that the method is slightly easier if the camera rotation, in relation with the general referential system, is small. We evaluate the accuracy of the four calibration parameters by simulations. When the calibration parameters are known, the Fundamental Matrix can be reduced to the Essential Matrix. In order to find the relative orientation parameters in stereo vision, there is also presented a new method to extract the base and the second (right) camera rotation by means of the Essential Matrix. The proposed method is simple to implement.
Response of calcineurin B-like protein kinase gene in tomato to various abiotic stresses

This study describes the expression patterns of the CBL interacting protein kinase (SlCIPK) gene in Solanum lycopersicum after treatment with various abiotic stresses, such as salt, dehydration and mechanical wounding. The cDNA of the SlCIPK gene from the tomato leaf encodes 446 amino acids and shows significant homology with other plant CIPK proteins. SlCIPK is a single copy gene in the tomato genome. The organ-specific expression pattern of the SlCIPK gene revealed that the transcript of this gene was present in all tissues examined (roots, stems, leaves and flowers), with strong expression being observed in the roots. Additionally, the SlCIPK gene was upregulated in response to salt, dehydration and wounding. Moreover, SlCIPK was regulated by abscisic acid (ABA) and calcium. Taken together, these results indicate that SlCIPK gene may play a role in the response to abiotic stresses via ABA-mediated calcium signaling.
Holistic Model That Affect the Success or Failure of the Implementation of Big Data

Big data defines the substantial volume of data that could be refined as well as examined utilizing modern technology to obtain service market values that will certainly aid institutions to obtain one-upmanships. The present paper targets to build an all natural model that features the elements that would certainly have an effect on the effectiveness or even failing of the application of big data in companies. Additionally, this analysis checks out the chances that companies would certainly achieve coming from applying big data, along with the difficulties that might impair this execution. The model is actually established based upon 3 sizes including carrying out data technique (institution), joint understanding laborer (folks) as well as carrying out data analytics (innovation).
RoboCut

Hot-wire cutting is a subtractive fabrication technique used to carve foam and similar materials. Conventional machines rely on straight wires and are thus limited to creating piecewise ruled surfaces. In this work, we propose a method that exploits a dual-arm robot setup to actively control the shape of a flexible, heated rod as it cuts through the material. While this setting offers great freedom of shape, using it effectively requires concurrent reasoning about three tightly coupled sub-problems: 1) modeling the way in which the shape of the rod and the surface it sweeps are governed by the robot's motions; 2) approximating a target shape through a sequence of surfaces swept by the equilibrium shape of an elastic rod; and 3) generating collision-free motion trajectories that lead the robot to create desired sweeps with the deformable tool. We present a computational framework for robotic hot wire cutting that addresses all three sub-problems in a unified manner. We evaluate our approach on a set of simulated results and physical artefacts generated with our robotic fabrication system.
Host specificity and colonization by Zachvatkinia caspica, an analgoid feather mite of Caspian Terns

The relationships between feather mites and their avian hosts have great potential as subjects for studies of evolution and ecology. However, we must first achieve a better understanding of the ecological roles of feather mites (mutualistic versus parasitic) as well as their degree of host specificity before we can search for broad generalities at work in bird/feather-mite systems. I investigated host switching and feeding ecology in Zachvatkinia caspica, an analgoid feather mite that lives among the feathers of Caspian Terns (Sterna caspia). My approach involved imping (i.e., transplanting) mite-free feathers from California Gulls (Larus californicus) and Caspian Terns onto mite-infested Caspian Tern wings and quantifying the extent to which mites colonized the newly introduced feathers. This approach allowed me to expose the mites to both host and non-host feathers as well as to the presence or absence of preen oils collected from the two bird species. Mites "incubated" on tern wings showed no obvious a.
Livestock and water: understanding the context based on the 'Comprehensive Assessment of Water Management in Agriculture'

The recently completed ‘Comprehensive Assessment of Water Management in Agriculture’ (CA) assessed the benefits, costs and impacts of the past 50 years of water development. It highlighted important trends that frame the challenges in water resources management of today and into the future, and critically evaluated solutions that people have developed to cope with these challenges. Important past trends include increases in food production that have outpaced population growth, much of this due to a doubling of the global irrigated area between 1961 and 2003, and accompanying declines in the health of aquatic ecosystems resulting from demands for, and impacts of, water use in agriculture. The future will bring new pressures on water resources and ecosystems as demands from sectors other than agriculture increase (including water for biofuel production), populations rise and become more wealthy, which leads to demand for foods that are more water intensive to produce, and climate change increases uncertainty and risk in our agricultural systems. Modelling predictions and analysis of scenarios show that water demand may rise from between only 20 up to 90% over the next 50 years, depending on how we choose to manage water in agricultural systems in the future. Owing to the importance of meat in changing diets and the role of livestock in managing land degradation, livestock is central to many of the issues that will determine whether or not optimistic scenarios (minimised increased demand for agricultural water in the future) can be achieved. This paper briefly summarises the insights and results of the CA, and highlights the areas where livestock management is most closely related to major water challenges and global recommendations of the CA. The purpose of this introductory paper is to set the context within which the importance of enhancing livestock water productivity in mixed farming systems can be appreciated.
iFAR: mobileAR for Cultural Heritage

Commercially available smart phones are already capable of using markerless inside-out tracking, particularly “Simultaneous Localization and Mapping” (SLAM). With these possibilities, developers of Augmented Reality (AR)-applications can realize ideas for applications that, until recently, were restricted to high-end devices such as the Microsoft Hololens. Smartphones can now be used to provide a view into a virtual alternative reality, for example to show buildings that no longer or don’t yet exist. In this paper we describe the idea and realization of a prototype using this concept as well as collaborative social interaction in AR as a work in progress. Using this prototype, we intend to research the acceptance and advantages/disadvantages of such solutions and try to find out whether social interaction in AR can be meaningful and expedient to convey facts and emotions to visitors of cultural heritage sites.
Genetic Opportunities to Improve Cereal Root Systems for Dryland Agriculture

Abstract Understanding the major limitations to root growth is very important if we are to maximize water and nutrient use and increase yields. Limitations may be insufficient rooting depth, root diseases, nutrient deficiencies, toxicities and soil hardness. An understanding of these limitations will lead to more precisely identifying traits for which to select and breed. Examples of successfully overcoming limiting factors to improve crop performance by breeding and selection are given for cereal cyst nematodes in wheat, soil acidity and salinity. The importance of altered crop management practices to reduce limitations is also stressed. These have resulted in a more effective and healthier root system, which results in more water use and greater yields. Opportunities to genetically increase the size of the root system in dryland systems where water and nutrients are not all used by the crop are given.