Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Discriminative Learning for Unsupervised Domain Adaptation

The primary objective of domain adaptation methods is to transfer knowledge from a source domain to a target domain that has similar but different data distributions. Thus, in order to correctly classify the unlabeled target domain samples, the standard approach is to learn a common representation for both source and target domain, thereby indirectly addressing the problem of learning a classifier in the target domain. However, such an approach does not address the task of classification in the target domain directly. In contrast, we propose an approach that directly addresses the problem of learning a classifier in the unlabeled target domain. In particular, we train a classifier to correctly classify the training samples while simultaneously classifying the samples in the target domain in an unsupervised manner. The corresponding model is referred to as Discriminative Encoding for Domain Adaptation (DEDA). We show that this simple approach for performing unsupervised domain adaptation is indeed quite powerful. Our method achieves state of the art results in unsupervised adaptation tasks on various image classification benchmarks. We also obtained state of the art performance on domain adaptation in Amazon reviews sentiment classification dataset. We perform additional experiments when the source data has less labeled examples and also on zero-shot domain adaptation task where no target domain samples are used for training.
First detection and molecular characterization of a DENV‐1/DENV‐4 co‐infection during an epidemic in Rio de Janeiro, Brazil

In the 80s, dengue viruses type 1 and 4 (DENV‐1 and 4) were isolated in North region of Brazil. However, it was only after the DENV‐1 introduction in the state of Rio de Janeiro (RJ) in mid‐1980s, that dengue became a nationwide public health problem. In 2009, this serotype re‐emerged causing an explosive epidemic in the country. DENV‐4 was first detected in RJ in 2011 and in 2012, and DENV‐1 and 4 were co‐circulating and responsible for a high number of cases notifications. Here, we describe the detection and molecular characterization of a DENV‐1/4 co‐infection in sample of 2012 in RJ.
DiaQwerty: QWERTY Variants to Better Utilize the Screen Area of a Round or Square Smartwatch

The QWERTY keyboard has a wide form factor, whereas smartwatches frequently have round or square form factors. Even if extra space for an input field is considered, the aspect ratio of the QWERTY keyboard may not be optimal for a round or square smartwatch. We surmised that a narrower keyboard would be better able to utilize the screen area of a round or square smartwatch, thereby enabling larger keys and improved performance. Larger keys, however, may not necessarily result in better performance because of the reduced familiarity of a modified keyboard layout. To investigate this, we designed DiaQwerty keyboards, which are QWERTY variants with an aspect ratio of 10:7, and compared them with a plain QWERTY keyboard and a SplitBoard on round and square smartwatches. For a 33 mm round watch, DiaQwerty was comparable with QWERTY and was faster than SplitBoard. For a 24 mm x 30 mm square watch, DiaQwerty was faster than both QWERTY and SplitBoard. In the latter case, DiaQwerty achieved a 15% improvement over QWERTY. We concluded that the advantages of the enlarged keys outweighed the disadvantages of the reduced familiarity of the modified layout on a square watch.
The Destructive Effect of Ingroup Competition on Ingroup Favoritism

Ingroup favoritism has been widely verified in the context of intergroup competition; however, how competition among ingroup members affects ingroup favoritism remains unclear. We hypothesized that competition among ingroup members may disrupt individuals’ ingroup-favoring behavior because of conflicts of interest; we tested this hypothesis in two studies. In Study 1, we manipulated competitive intragroup outcome interdependence (present vs. absent) and the manner in which results were presented (public vs. anonymous). We found that regardless of result presentation, when competitive intragroup outcome interdependence was present, ingroup members did not exhibit ingroup favoritism; when such interdependence was absent, they showed ingroup favoritism. In Study 2, we introduced the manipulation of social identification, and reverified the main result that individuals under competitive intragroup outcome interdependence do not exhibit ingroup favoritism. Even the degree of social identification—a vital factor for intergroup behavior—could not moderate the destructive effect of competitive intragroup outcome interdependence on ingroup favoritism. Together, these findings indicate that ingroup favoritism would indeed be damaged by competition among ingroup members.
Multiuser virtual reality environment for visualising neuroimaging data

The recent advent of high-performance consumer virtual reality (VR) systems has opened new possibilities for immersive visualisation of numerous types of data. Medical imaging has long made use of advanced visualisation techniques, and VR offers exciting new opportunities for data exploration. The author presents a new framework for interacting with neuroimaging data, including MRI volumes, neuroanatomical surface models, diffusion tensors, and streamline tractography, as well as text-based annotations. The system was developed for the HTC Vive using C++, OpenGL, and the OpenVR software development kit. The author developed custom GLSL shaders for each type of data to provide high-performance real-time rendering suitable for use in a VR environment. These are integrated with an interface that enables the user to manipulate the scene through the Vive controllers and perform operations such as volume slicing, fibre track selection, and structural queries. The software can read data generated by existing automated brain MRI analysis packages, enabling the rapid development of subject-specific visualisations of multimodal data or annotated atlases. The system can also support multiple simultaneous users, placing them in the same virtual space to interact with each other while visualising the same datasets, opening new possibilities for teaching and for collaborative exploration of neuroimaging data.
Receipt of Colonoscopy Following Diagnosis of Advanced Adenomas: An Analysis within Integrated Healthcare Delivery Systems

Background: To reduce colorectal cancer incidence and mortality, experts recommend surveillance colonoscopy 3 years after advanced adenoma removal. Little is known about adherence to that interval. Methods: We describe patterns of and factors associated with subsequent colonoscopy among persons with ≥3 adenomas and/or ≥1 adenoma with villous/tubulovillous histology in four U.S. integrated healthcare delivery systems. We report Kaplan–Meier estimators of the cumulative percentage of patients undergoing colonoscopy 6 months to 3.5 years after an index colonoscopy with high-risk findings. Combining data from three healthcare systems, we used multivariable logistic regression with inverse probability of censoring weights to estimate ORs and 95% confidence intervals (CI) for associations between patient characteristics and receipt of subsequent colonoscopy. Results: Among 6,909 persons with advanced adenomas, the percent receiving a subsequent colonoscopy 6 months to 3.5 years later ranged from 18.3% (95% CI: 11.7%–27.8%) to 59.5% (95% CI: 53.8%–65.2%) across healthcare systems. Differences remained significant in the multivariable model. Patients with ≥3 adenomas were more likely than those with 1 to 2 villous/tubulovillous adenomas to undergo subsequent colonoscopy. Subsequent colonoscopy was also more common for patients ages 60–74 and less common for patients ages 80 to 89 compared with those ages 50 to 54 years at their index colonoscopy. Sex, race/ethnicity, and comorbidity index score were generally not associated with subsequent colonoscopy receipt. Conclusions: Colonoscopy within the recommended interval following advanced adenoma was underutilized and varied by healthcare system, age, and number of adenomas. Impact: Strategies to improve adherence to surveillance colonoscopy following advanced adenomas are needed.
Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items

: Current research in Learning Analytics is also concerned with creating personalized learning paths for students. Therefore, Recommender Systems are used to suggest the next object to learn or pre-computed paths are recommended. However, the time of the requested learning session and the freedom of choice are often not considered. Respecting certain course deadlines and providing the user with choice is a very important aspect of recommendations. In this work, we present an approach to creating personalized paths through knowledge networks. These paths are constructed by considering the time at which they are requested and suggest alternative routes to provide the user with a choice of preferred learning items. An evaluation gives precision measures that have been obtained with different lengths for the Top-N recommendations and different branching factors in the paths and compares the results with other Recommender Systems used in Adaptive Learning Environments.
NGC 7419 as a template for red supergiant clusters

Context. The open cluster NGC 7419 is known to contain five red supergiants and a very high number of Be stars. However, there are conflicting reports about its age and distance that prevent a useful comparison with other clusters. Aims. We intend to obtain more accurate parameters for NGC 7419, using techniques different from those of previous authors, so that it may be used as a calibrator for more obscured clusters. Methods. We obtained Stromgren photometry of the open cluster NGC 7419, as well as classification spectroscopy of ∼20 stars in the area. We then applied standard analysis and classification techniques. Results. We find a distance of 4 ± 0.4 kpc and an age of 14 ± 2 Myr for NGC 7419. The main-sequence turn-off is found at spectral
New type of brightness variations of the colliding wind WO4+O5((f)) binary WR 30a

We present new photometric observations in Johnson V and B of WR 30a, revealing relative dramatic changes in brightness of 0: m 2. These variations occur on a time scale of hours, and are only seen in V. We argue that they are not caused by dust extinction, but either by a dramatic change in the strength of the C iv 5801-12 A emission line doublet due to a de-excitation process, or by some unknown continuum eect.
Production and use of 13N labeled N2O5 to determine gas–aerosol interaction kinetics

Abstract Dinitrogen pentoxide has aroused significant interest in atmospheric chemistry because of its importance in the night time chemistry of nitrogen oxides to influence the tropospheric oxidation capacity. We have used an established method of 13N production to synthesize 13N labeled N2O5 for the first time in order to study N2O5 uptake kinetics on aerosol particles. 13N is produced via the 16O(p, α)13N reaction in a gas target attached to the IP2 endstation of the Injector 2 cyclotron at PSI. The 13NO produced in the gas target is transported to a laboratory where it is mixed, under dry conditions, with non-labeled NO and O3 in a gas reactor, giving 13NNO5. The N2O5 thus produced is fed into an aerosol flow tube together with a humidified aerosol gas flow. The gaseous species present in the resulting gas flow are selectively separated via a narrow parallel plate diffusion denuder system, while aerosol particles can be trapped on a particle filter placed at the end of the denuder system. The activity of the 13N labeled species trapped on the denuder plates and in the particle filter can be monitored via scintillation counters. A system for the routine online production of 13N labeled N2O5 has been assembled and used to assess the conformity of the results by kinetic modeling of gas phase N2O5 chemistry, showing good agreement. A few exemplary experiments of uptake of labelled N2O5 to ammonium sulfate and citric acid particles are presented that are in good agreement with results obtained with other methods reported in the literature.
Strategies used by healthcare practitioners to manage fatigue-related risk: beyond work hours

Objectives: Fatigue in healthcare practitioners presents a risk to both patient safety and the safety and well-being of doctors and nurses. Management of fatigue-related risk is largely focused on hours of work limits, but these limits are fallible. The aim was to investigate the ways in which healthcare professionals manage fatigue-related risk beyond the hours. Methods: Qualitative data extracted from semi-structured interviews and focus groups with 189 healthcare practitioners from nursing and medical disciplines were subjected to thematic analysis to identify key themes of causes and consequences of fatigue, as well as strategies deployed within teams and by individuals. Results: The majority of fatigue risk management beyond hours of work limits occurs as informal processes that have evolved within teams. These processes can be characterised as non-technical skills and include error protection practices and fatigue-proofing strategies. Conclusions: The informal practices we identified represent a key layer of defence in a fatigue risk management system ‐ that of recognising and responding to fatigue. A process to assess and formalise the error protection practices and fatigue-proofing strategies is required and any formal implementation should be supported by effective and fair incident reporting systems.
MICROENCAPSULATION: AN INDISPENSABLE TECHNOLOGY FOR DRUG DELIVERY SYSTEM

In this review, the various new and well established technologies relevant to the controlled and target ed drug delivery systems have been precisely discussed . A perfectly designed controlled drug delivery system can be of huge advantage t owards solving problems concerning to the targeting of drug to a specific organ or tissue and controlling the rate of drug delivery at the target site. Novel drug delivery systems have various advantages over other conventional drug therapy. In which micro encapsulation is one approach for achieving the novel drug delivery dosage forms such as sustained release and controlled release , t hough t he development of oral controlled release systems has been a challenge to formulation scie ntist due to their inabilit y to restrain and focus the system at targeted areas of gastrointestinal tract. Microparticulate drug delivery systems are an interesting and promising option when developing an oral controlled release syst em. Our objective is to take a closer look at micr oparticles as drug delivery devices for increasing efficiency of drug delivery, improving the release profile and drug t argeting. In order to elucidate the application of microcapsules in drug delivery, some fundamental aspects are briefly reviewed. Keywor ds: Microencapsulation, microcapsule, microsphere, coacervation, polymerization.
1 Heterogeneity of Cooperative Membership : 2 Implications for Cooperative Sustainability 3

Matthew Elliott 1, Lisa Elliott 2 and Evert Van der Sluis2,* 4 1 South Dakota State University; Matthew.Elliott@sdstate.edu 5 2 South Dakota State University; Lisa.Elliott@sdstate.edu 6 3 South Dakota State University; Evert.VanDerSluis@sdstate.edu 7 8 * Correspondence: Matthew.Elliott@sdstate.edu; Tel. : +01-605-688-4855 9 10 Abstract: The effects of heterogeneity of cooperative membership on cooperative and collective 11 action sustainability has been previously discussed. However, despite the importance of membership 12 heterogeneity in recent theoretical frameworks, empirical examinations have been limited. We 13 determine the effect of changes to cooperative member heterogeneity on cooperative sustainability 14 and discuss changes to heterogeneity overtime that can advance our understanding to cooperative 15 sustainability long-term. This study uses USDA Agricultural Management Resource Survey data, 16 coupled with USDA-Rural Development cooperative financial data at the state level, to quantify 17 effects of cooperative member heterogeneity to sustainability of U.S. farmer cooperatives. We use 18 random forest regression to interpret the significance of heterogeneity with cooperative sustainability 19 at an aggregate level. The findings of this empirical study narrowly reconciles the theoretical 20 understanding of the emergence of intra-cooperative issues while providing consistent empirical 21 evidence and expectations for the sustainability of cooperatives in the near term. 22 23
Segmental and Supra-Segmental Feature Based Speech Recognition System forUnder Resourced Languages

In detection-based, bottom-up speech recognition procedures, the segmental features like phonological feature based speech attributes act as one of the key component for the recognition model. In this study, place and manner of articulation based phonological features have been detected and they are integrated with the supra-segmental parameters of speech to develop the Auotmatic Speech Recognition (ASR) system for various under-resourced languages. For detection purpose a bank of phonological feature detector has been designed. Deep Neural Network (DNN) based attribute detector performed well to detect the phonological features. This paper also reports a comparative distribution of the (DNN) based attribute detector and the same using multi layer Perceptron (MLP). For continuous spoken speech, the Bengali CDAC speech corpus has been used. The deep neural based attribute detector achieved an average frame level accuracy of 88.26% is achieved whereas the same for MLP based detector is measured as 86.18%.
Promotional Food Retail Sales: Frequency Versus Depth

Temporary price reductions (sales) as a means of promotional measures have become an increasingly important tool in the marketing mix of German food retailers. Various models have been proposed to explain the rationales behind such pricing strategies. Recently these models have been extended by Richards (2006) to capture the multiproduct nature of retail business. In this paper German retail food scanner data over two years are used to estimate a three step procedure to explain breadth and depth of sales, and their impact on category revenues.
Miniature Bat Imitating Ultrasonic Sensor

This study describes the developing of a miniature robot navigation sensor. Miniature robots have severe size and power requirements. In order to be installed on the robot, the navigation sensor must be low power and small size. Therefore, the design has to be simple and with low complexity algorithms. The inspiration for the Miniature Echo Location (MEL) sensor is taken from bat navigation system which is based on active sonar system [1]. The bat sends an ultrasonic wave and receives the echoes from the environment. Echo locating animals such as bats primarily use timing information to judge distance, since the distance to the target is proportional to the time delay between emission generation and echo reception [2]. The MEL sensor is based on MSP430FG4618 controller, analog front end and ultrasonic transducers. The controller generates the pulses and detects the echoes from the environment. The MSP4304618 is a SOC (system on chip) unique processor which has built in ADC's, DAC's and operational amplifier. Using built in operational amplifiers helps to reduce PCB size board. Special attention was given to choose low size, low power components =for the analog front end. The final result after building a prototype sensor was less than 30mW current and estimated area of 25mm * 25mm.
Variation in fur farm and wild populations of the red fox, Vulpes vulpes (Carnivora: Canidae) — Part I: Morphometry

Abstract: This paper demonstrates the influence of artificial selection on morphometric traits in the red fox [Vulpes vulpes (Linnaeus, 1758)]. Measurements and two proportion coefficients were analysed in 132 wild and 199 farm red foxes. The two groups differed significantly (P ≤ 0.05) on all but one of the measurements. Eight out of 11 measurements were significantly greater in the farm fox population, while only tail length, ear height, and length of the right hind limb were greater in the population of wild foxes. The opposite trend was observed when analysing variation in the measurements — the farm foxes were characterized by a greater variability only in the case of body weight, body length, and breadth of chest. When analysing the sexual dimorphism index in different sex and population groups, in almost all analysed traits, the greatest differences occurred between farm males and wild females. All of the traits examined in this study are important for survival of wild foxes. However, because importance of some traits was reduced during domestication and selective breeding (farm foxes do not have to fight for survival), the genetic relationship between them may have weakened. Other possible causes of morphological differences between the studied groups of red foxes are discussed as well.
Measurement of Self-Capacitance for Windings on High-Permeability Ferrite Cores

Two methods of self-capacitance determination for windings on high-permeability ferrite cores are described. The first one is connected with the measurements on three frequencies, the second - with the measurements on a single frequency with and without additional capacitance. The methods are free from error associated with frequency and amplitude dependencies of the complex magnetic permeability components of ferrites. The potentialities of these methods are shown by data obtained for measuring windings (single-layer windings on toroidal cores) which are broadly used in magnetic measurements. In such a complicated case when the components of complex magnetic permeability are strongly frequency dependent, the offered methods ensure the acceptable accuracy of measurements even for small self-capacitance (in order of 1 pF). C is the parasitic parameter of the windings (inductors). By increasing the frequency the influence of o C also increases and the problem of estimation of o C influence becomes actual. In this paper only measuring windings (MW) will be considered. MW is the single-layer winding which is winded on the toroidal core to measure its magnetic properties, for example, magnetic spectra (MS) - the frequency dependence of the components of complex magnetic permeability (CMP) 2 1 µ µ µ
Molecular-docking study of capsular regulatory protein in Streptococcus pneumoniae portends the novel approach to its treatment

correspondence: simrika Thapa swapnojaatra Bioresearch Laboratory, Datasoft systems Bangladesh Limited, 73-d, new Airport road, Manipuripara, Dhaka-1215, Bangladesh Tel +880 2 9110136 Fax +880 2 9114747 email simrikathapa@gmail.com Abstract: Streptococcus pneumoniae is the major pathogen that causes pneumonia in the pediatric population in Bangladesh and other developing countries. The capsule of this pathogen is the main virulent factor, the synthesis being governed by the capsular polysaccharide gene cluster that encodes for regulatory proteins such as CpsB. Studies have suggested CpsB to be a potential drug target in case of a high rate of vaccine failure as vaccines are intended to target only a few serotypes among 90 available ones. Thus the protein-targeted drug against CpsB is a good alternative to protect against pneumonia. In this study, homology modeling and validation of this protein was performed with certain bioinformatic tools which facilitate the execution of molecular docking against the ligands from the ZINC database. The two potential ligands bind substantially in the active site of this regulatory protein with considerable binding energy in the docking study, which means they could be considered good inhibitors. This study aims to understand the functional aspects of this and also to examine the development of a novel drug against pneumonia.