Miracle-dz/UniFAR-FTUs huggingface dataset:
Fish and Shell ﬁ sh Immunology

Nkl was constructed and an anti-Nkl polyclonal antibody was successfully tested. Using these tools, we demonstrated that although infection did not clearly a ﬀ ect nkl mRNA expression, it induced changes at the protein level. Turbot Nkl had the ability to inhibit proliferation of the P. dicentrarchi parasite both in vivo and in vitro . Moreover, a shortened peptide containing the active core of turbot Nkl (Nkl71-100) was synthesized and showed high antiparasitic activity with a direct e ﬀ ect on parasite viability that probably occurred via membrane disruption. Therefore, the nkl gene may be a good candidate for genetic breeding selection of ﬁ sh, and either the encoded peptide or its shortened analog is a promising antiparasitic treatment in aquaculture.
Gripping in anthropomorphic robotics

We introduce a data-driven and simulation-based approach for design of versatile, anthropomorphic grippers. An analysis of Non Invasive Adaptive Prosthetics (Ninapro) database is made to obtain kinematic simplifications of the human hand based on the record of multiple grasping techniques. Subsequently, a mechanical solution has been developed based on the post-processing of this experimental data resulting in a compact cable-driven system. The resulting gripper is then evaluated to determine its ability to perform several grasps of different objects.
From Music to Medicine, Part I Are Pianists at an Advantage When Learning Surgical Skills ?

Background: The acquisition of procedural competence is of vital importance in the training of physicians. It has been observed that medical students with extensive musical backgrounds often learn surgical techniques more rapidly than other students, raising the question of whether there is motor skill transfer from one area to another. Objective : It is the aim of this project to explore whether musicians can learn and perform surgical skills more rapidly than non-musicians. This study explores the claims that musicians’ proficiency in playing their instrument can translate into benefits when learning complex and refined motor skills in another domain. Even basic surgical skills, such as suturing, become difficult in cognitively demanding environments such as the operating room, containing a barrage of multisensory stimuli where the surgeon must triage and respond to clinically salient information. Method : n=40 participants: 20 with piano expertise and 20 with no formal music training learned how to do a surgical knot and sutures. They had two practice sessions and were tested after each session. The two test parameters measured were time to complete the task and an OSATS (Objective Structures Assessment of Technical Skills) score (a commonly used validated scale for rating procedural competency). Results for each group (musicians and non-musicians) were analysed and compared. In Part II of this study, the practice behaviours and learning strategies used by each group were compared. Results: Musician participants performed the surgical tasks faster and received higher scores than the controls; for knot tying, the difference between the two groups was statistically significant (by the last test, p = .044 for scores and p = .025 for test times). Gender and proficiency using chopsticks were found to be confounding variables, exhibiting some influence on test times and scores. Conclusion: Musical training in piano appeared to be of benefit in the initial stage of learning new simple surgical skills. This indicates that at least some aspects of a musicians’ skillset (such as fine motor control, bimanual dexterity and good hand-eye coordination) might be transferrable to an ostensibly disparate domain, and may be important for incorporation in surgical training where the skill of suturing can impact both surgical outcomes, patient safety, and patient satisfaction.
HIV-related syndemic pathways and risk subjectivities among gay and bisexual men: a qualitative investigation

Abstract Life history interviews were conducted with 40 gay and bisexual men to identify modes of syndemic experience and risk practice. Out of the interview narratives emerged one major and two minor modes of developmental pathway whereby syndemic conditions are navigated and expressed: (1) a combination of adverse childhood events with later episodes of depression and/or substantial substance use; (2) personal disruption that led to periods of depression and anxiety associated with the stresses of migration; and (3) a disorientation and an unravelling of life trajectory in the transition from family of origin to college or work. Risk practices fell into three high-risk modes: active and frequent engagement in condomless sex; unassertive deferment to a partner’s initiation of condomless sex; and episodic risk combined with a risk reduction strategy. Three low risk modes were also identified: no recent condomlessness but multiple risk history in interview; a trajectory over time from high to low risk; and consistent low risk practice. These different modes of syndemic experience and risk management may have implications for identification of the effective HIV prevention tools that work best for different sets of men.
Camera ISP Modiﬁcation to Enable Image De-rendering

A camera’s image signal processor (ISP) is dedicated hardware that performs a series of processing steps to render a captured raw sensor image to its ﬁnal display-referred output suitable for viewing and sharing. It is often desirable to be able to revert – or de-render – the ISP-processed image back to the original raw sensor image. Undoing the ISP rendering, however, is not an easy task. This is because ISPs perform many nonlinear routines in the rendering pipeline that are difﬁcult to invert. Moreover, modern cameras often apply scene-speciﬁc image processing, resulting in a wide range of possible ISP parameters. In this paper, we propose a modiﬁcation to the ISP that allows the ISP-rendered image to be reverted back to a raw image. Our approach works by appending a ﬁxed-sampling of the raw sensor values to all captured images. The appended raw samples comprise no more than 8 rows of pixels in the full-sized image and represent a negligible overhead given that 12–16 MP sensors typically have 3000 rows of pixels or more. The appended pixels are rendered along with the captured image to the ﬁnal output. From these rendered raw samples, a reverse mapping function can be computed to undo the ISP processing. We demonstrate that this method performs almost on par with competing state-of-the-art approaches for ISP de-rendering while offering a practical solution that is integrable to current camera ISP hardware.
THE CLASS/TEACHER ASSIGNMENT PROBLEM: A CASE STUDY IN A BRAZILIAN UNIVERSITY

In this work, a mathematical model to assign classes to professors is proposed, aiming at a maximization of a convex function depending on their preferences and skills. The mathematical model consists of an integer binary linear program, whose objective allows for both satisfaction and productivity optimizations, which is considered a more rational use of their skills. The method applied was a case study exploratory research. The data used to assess the goodness of the mathematical model were collected on the Mathematics Department to which the ﬁrst author are aﬃliated.
Population Size

Context: Health departments have various unique needs that must be addressed in preparing for national accreditation. These needs require time and resources, shortages that many health departments face. Objective: The Accreditation Support Initiative’s goal was to test the assumption that even small amounts of dedicated funding can help health departments make important progress in their readiness to apply for and achieve accreditation. Design: Participating sites’ scopes of work were unique to the needs of each site and based on the proposed activities outlined in their applications. Deliverables and various sources of data were collected from sites throughout the project period (December 2011-May 2012). Setting/Participants: Awardees included 1 tribal and 12 local health departments, as well as 5 organizations supporting the readiness of local and tribal health departments. Results: Sites dedicated their funding toward staff time, accreditation fees, completion of documentation, and other accreditation readiness needs and produced a number of deliverables and example documents. All sites indicated that they made accreditation readiness gains that would not have occurred without this funding. Conclusions: Preliminary evaluation data from the first year of the Accreditation Support Initiative indicate that flexible funding arrangements may be an effective way to increase health departments’ accreditation readiness.
Microparticles Containing MiR-625-5p In Coronary Artery Reduce Myocardial Fibrosis After Myocardial Infarction

Purpose Blood from infarct-related arteries obtained by thrombus aspiration is good material for studying the local microenvironment of blood vessels in myocardial infarction. Here, we aimed to observe the effects of intracoronary microparticles (MPs) on cardiac �brosis and to �nd associated microRNAs in MPs. Methods Blood samples were collected from patients with ST-segment elevation myocardial infarction who underwent emergency percutaneous coronary intervention, and sub-supersonic centrifugation was used to separate the MPs. Results We found that rats treated with intracoronary MPs showed better cardiac function after myocardial infarction compared with rats treated with PBS control or peripheral MPs. RNA microarray analysis indicated that microRNAs, especially miR-625-5p, may play a role in the process. Supplementation with miR-625-5p inhibited proliferation of cardiac �broblasts and myocardial �brosis in a mouse myocardial infarction model.
: Design and implementation of a chatbot in the context of customer support

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Individual Agency in Behavioral Public Policy: New Knowledge Problems

: Taking psychology seriously in behavioral public policy (BPP) means to acknowledge the context-dependent and dynamic nature of people’s preferences. Preferences adapt to situational context factors and sociocultural circumstances. Moreover, people often do not have given preferences but form them in the act of choosing. Insights on passive and active preference change pose a serious problem to the idea of nudging in BPP since it questions the policy analysts’ ability to detect people’s well-integrated ‘true’ preferences. Given this epistemic difficulty, some authors have recently begun to argue for agency-enhancing interventions in BPP, such as assistive cuing and boosts. Unlike nudges that re-bias people, these psychologically informed policy interventions aim at de-biasing people by enhancing their reasoning capacities. The agency-centric approach to BPP is laudable from a methodological perspective since it addresses intricacies of context-dependent preferences. It is also laudable from a normative perspective since it takes the liberal idea of individual self-determination seriously. Yet, it creates ‘new’ knowledge problems that have not yet been sufficiently addressed in the literature. This article argues that the epistemic challenge of an agency-centric BPP stems from, among other things, (a) its commitment to algorithmic analysis that models actual decision-making processes (in contrast to a reliance on algebraic analysis and as-if models) and (b) the difficulty to differentiate motivational from epistemic concerns that would allow the analyst to identify reasoning failures. This article discusses these challenges and ultimately defends a psychologically grounded agency-oriented approach to BPP that highlights the value of autonomy, i.e., people’s capacity to scrutinize, act on, and identify with their evolving preferences. Such an approach attenuates some of the epistemic problems by shifting the policy focus from process facilitation and situational choice architecture toward institutional analysis.
A Review of E-learning Technologies Adoption in Nigeria’s Tertiary Education Institutions

s This paper reviews the impact of e-learning on education and training in Nigeria’s tertiary educational institutions. Tertiary educational institutions in Nigeria are moving towards the point where technology will be the major medium of its delivery. E-learning emerged in 21 st Century as a vital tool for learning and teaching. This paper discuss the impact of e-learning technologies, factors affecting its full adoption such as power shortage, lack of technical manpower and high cost of computer hardware acquisition, mention the prospects of its full implementation to the institutions & recommends the way forward.
The use of furosemide in critically ill patients

Critically ill patients are those with life threatening illness who, without adequate medical interventions, will suffer from severe morbidity and occasionally mortality. One of the most frequent cause of morbidity and mortality in critically ill patients is distributive or vasogenic shock. After liberal fluid resuscitation, an increase in microvascular hydrostatic pressure, fluid accumulation of interstitial compartment, and impaired organ function occur. Normally this phase, called ebb phase, will return to flow phase where inflammatory mediators homeostasis occurs, plasma oncotic pressure restored, diuresis, extravascular fluid mobilized and neg-. ative fluid balance occur. In certain group of patients, there is persistent systemic inflammation, plasma leakage, and failure to achieve flow phase spontaneously, which lead to fluid over-load and global increased permeability syndrome (GIPS). GIPS causes venous resistance of organs within compartment, resulting in decreased perfusion pressure and organ failure. In this condition, it is necessary to remove the fluid actively and one of the drugs that can be used is furosemide. This literature review will describe what happens in critically ill patients, how furo-semide works, what its benefits are in critically ill patients, what side effects and potential toxicities of furosemide.
and Finance in Emerging Market Economies

Using an accounting framework, I examine the evolution of national and sub-national public debt in India from 1981 to 2017, with reference to the FRBM Review Committee Report, which stipulates the debt targets at 60% and 20%, respectively. I find that a larger share of debt movement is explained by changes in interest rate, growth and inflation, than by accumulation of new debt, for both national and sub-national debt. Simulations show that a strict per-usal of the debt targets will force the government to run surpluses, while relaxing the targets generates fiscal space up to 4% of the GDP.
MANAGING CONTINOUS TRANSFORMATION AND COMPLEXITY OF THE EUROPEAN UNION COHESION POLICY. THE SIMPLIFICATION CHALENGE

This article provides an analysis of the continuous transformation of the cohesion policy since its establishment to present. Despite of the original aim at delivering and efficient and effective policy to address the challenges of a harmonious development of all regions and territories of the member states, revisions and changes introduced form one programming to another transformed the cohesion policy into one of the most complex EU policies and generated higher administrative burden for all participants to the management and implementation of the cohesion policy. This article compares the changes produced in the cohesion policy from one period to another with the aim of identifying the transformation produced from one period to another and the main factors contributing to continuous increasing complexity. The results of this analysis provide an overview of the cohesion policy landscape for better understanding which are the challenging areas for the simplification as prerequisites for a smother and more effective the cohesion policy.
Curvature-enhanced Neural Subdivision

Subdivision is an important and widely used technique for obtaining dense meshes from coarse control (triangular) meshes for modelling and animation purposes. Most subdivision algorithms use engineered features (subdivision rules). Recently, neural subdivision successfully applied machine learning to the subdivision of a triangular mesh. It uses a simple neural network to learn an optimal vertex positioning during a subdivision step. We propose an extension to the neural subdivision algorithm that introduces explicit curvature information into the network. This makes a larger amount of relevant information accessible which allows the network to yield better results. We demonstrate that this modification yields significant improvement over the original algorithm, in terms of both Hausdorff distance and mean squared error.
Sovereign Debt Maturity Structure and Dilution ∗

The maturity structure of debt plays an important role in default probability and the resulting pricing of sovereign bonds. Using a calibrated model this paper shows that both the default probabilities and the prices get improved when the sovereign issues long-term bonds or both short-and long-term bonds instead of issuing only short-term bonds. This paper also shows that the inclusion of the compensation covenant mitigates the dilution problem of sovereign debt on a larger scale when the maturity of long-term bonds is sufﬁciently high.
Heavy metals and macronutrients transfer from soil to pinus Sylvestris L.

Forest soil near pollution sources receives large amounts of heavy metals because of rapid urbanization and industrialization. Heavy metals from soils are easily accumulated on trees. The transfer factors of heavy metals of lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) and macronutrients potassium (K) and magnesium (Mg) were determined from soil to tree (Pinus sylvestris L.) in contaminated and control sites. The differences among transfer factors for both sites were discussed. The higher transfer value of heavy metals and macroelements to wood was associated with higher element concentration in the soil and the uptake of an element by a tree which is primarily dependent on the tree species, its inherent controls, and the soil quality.
Pengaruh Reduksi Fitur Pada Klasifikasi Kanker Paru Menggunakan CNN Dengan Arsitektur GoogLeNet

Lung cancer is the type of cancer with the most causes of death. The purpose of this research is to classify the types of lung cancer using the CNN GoogLeNet architecture method and PCA feature reduction. The evaluation of the model used in this study uses a confusion matrix. The data used in this study amounted to 15,000 data. In this study, the trial parameters used were the probability of dropout and the number of batch sizes. Then, trials were carried out using the CNN GoogLeNet method and the CNN GoogLeNet method with feature reduction used, namely PCA. Based on the trials that have been carried out, the best results were obtained, namely by using the GoogLeNet CNN method with PCA feature reduction. The best results obtained were when dividing the data 90:10 using a dropout probability value of 0.9 and a batch size of 8, producing accuracy, sensitivity and specificity values respectively, namely 99.95%, 99.97% and 99.86% and required a training time of 93 minutes 27 seconds.
col-The Argon AR Web Browser and Standards-based AR Application Environment

A common vision of Augmented Reality (AR) is that of a person immersed in a diverse collection of virtual information, superimposed on their view of the world around them. If such a vision is to become reality, an ecosystem for AR must be created that satis-ﬁes at least these properties: multiple sources (or channels of interactive information) must be able to be simultaneously displayed and interacted with, channels must be isolated from each other (for security and stability), channel authors must have the ﬂexibil-ity to design the content and interactivity of their channel, and the application must ﬂuidly integrate with the ever-growing cloud of systems and services that deﬁne our digital lives. In this paper, we present the design and implementation of the Argon AR Web Browser and describe our vision of an AR application environment that leverages the WWW ecosystem. We also describe KARML, our extension to KML (the spatial markup language for Google Earth and Maps), that supports the functionality required for mobile AR. We combine KARML with the full range of standard web technologies to create a standards-based web browser for mobile AR. KARML lets users develop 2D and 3D content using existing web technologies and facilitates easy deployment from standard web servers. We highlight a number of projects that have used Argon and point out the ways in which our web-based architecture has made previously impractical AR concepts possible.
Pinocchio lizards and other lizards bearing rostral appendages − the peculiar habitus of the draconine agamid Harpesaurus tricinctus with highlights on its ecological implications and convergence with its New World equivalent, the dactyloid Anolis proboscis

Harpesaurus tricinctus is an Asian agamid lizard described in 1851 from Java, Indonesia, and since then known only from its holotype located at the Paris Natural History Museum (MNHN-RA), supposedly a male, characterized by a long sickle-shaped rostral appendage. Ecological data are virtually lacking since no other specimen have ever been found. Here we review its morphology as compared with its congeners. We also review the morphology of other lizards and some snakes with rostral appendages and discuss their possible functional implications. We identified a South American dacty-loid lizard, Anolis proboscis , the males of which show by their general habitus and a long, sword-shaped rostral append-age a striking convergence with the possibly extinct H. tricinctus . Anolis proboscis was also for long considered a rare and little-known lizard but recent field work allowing new observations provided additional data on its ecology. We suggest to use these new data on its habitat requirements which might be comparable to those of the externally so similar but alleg-edly extinct Indonesian agamid which might have survived in the canopy of tropical humid forests in one of the Greater Sunda Islands of Indonesia.