Miracle-dz/UniFAR-FTUs huggingface dataset:
Is the Best Disease-Guided

differences in any of the measured individual medical conditions. In contrast, the less adherent groups were more likely to be from areas with lower median income and were also more likely to be AfricanAmerican or Hispanic. Prior studies have shown that adverse cardiovascular outcomes and poor utilization of evidence-based discharge care after myocardial infarction are independently associated with each of these groups (3,4). Even so, the authors attempted to minimize confounding by appropriately adjusting for race and income. However, there are likely other socioeconomic variables such as education level, social support, employment status, and cultural differences that were not fully captured in this data set which may have impacted both adherence as well as cardiovascular outcomes. The differences in characteristics between adherent and less adherent groups further emphasize the need to better incorporate these types of socioeconomic variables into our methods of identifying and managing high-risk patients in both routine clinical care as well as clinical research studies, particularly in relation to medication adherence. It is also worth emphasizing that although medication adherence is complicated by various socioeconomic factors that are often difficult to measure, let alone modify, Armstrong and McAlister are correct in pointing out that progress in this area remains both necessary and possible. We should remain optimistic that innovative studies such as the ongoing ARTEMIS (Affordability and Real-world Antiplatelet Treatment Effectiveness After Myocardial Infarction Study) trial (5), a multicenter randomized trial of copayment vouchers for P2Y12 inhibitors after myocardial infarction, will help find ways to impact both adherence and cardiovascular outcomes. The most important initial intervention, however, will remain our decision to discuss the importance of medication adherence with our patients, as a problem never discussed will likely be a problem never solved.
Analisis Geoteknik pada Teknologi Corrugated Mortar Busa Pusjatan (CMP) dalam Perencanaan Flyover Antapani (Hal. 70-81)

ABSTRAK Jalan lintas atas (overpass) dapat dipilih untuk pengembangan jaringan jalan dalam mengurangi kemacetan yang diakibatkan oleh meningkatnya arus lalu lintas dan mengatasi konflik pada persimpangan sebidang. Pada tahun 2016 Puslitbang Jalan dan Jembatan (Pusjatan) telah melakukan sebuah Pilot Project Flyover Antapani di Kota Bandung dengan menggunakan teknologi struktur baja bergelombang yang dikombinasikan dengan mortar busa sebagai oprit jembatan, teknologi ini dikenal dengan nama Corrugated Mortar Pusjatan (CMP). Timbunan dengan menggunakan mortar busa dapat mengurangi besar penurunan yang terjadi dibandingkan dengan teknologi konvensional. Analisis dilakukan dengan menggunakan program PLAXIS 3D yang berbasis metode elemen hingga. Dari hasil analisis didapat bahwa penurunan seketika pada fondasi Flyover Antapani di Kota Bandung sudah memenuhi standar izin. Selain itu penggunaan teknologi CMP pada perencanaan Flyover Antapani yang digunakan pada jenis tanah lunak juga menunjukkan hasil serupa, sehingga efektif apabila dilaksanakan pada tanah lunak. Kata kunci : penurunan, mortar busa, teknologi CMP, PLAXIS 3D ABSTRACT Overpass can be choosen as road network development to reduce traffic jam caused by increasing traffic flow and resolve conflict on intersection. In 2016 Puslitbang Jalan dan Jembatan (Pusjatan) has done a Pilot Project Flyover Antapani in Bandung City using corrugated steel structure technology combined with foamed mortar as backfill, this technology was known as Corrugated Mortar Pusjatan (CMP). Foamed mortar embankment could reduce settlement compared to using conventional technology. Analysis was done using PLAXIS 3D program based on finite element method. It shows that immediate settlement on Flyover Antapani’s foundation in Bandung City met the necessary standard. On the other side the use of CMP technology in Flyover Antapani design which applied to soft soil resulting a similar output, which will be effective if applied to soft soil. Keywords : settlement, foamed mortar, CMP technology , PLAXIS 3D
F ORMATION D RY -O UT FROM CO 2 I NJECTION INTO S ALINE A QUIFERS . P ART 2, A NALYTICAL M ODEL FOR S ALT P RECIPITATION

From a mass balance for water dissolved into the flowing CO 2 stream, and a consideration of saturation profiles from the Buckley-Leverett (1942) fractional flow theory, we derive an equation that directly relates gas saturation S g,d at the dry-out front to temperature, pressure and salinity dependence of fluid properties. The equation is easily solved by iteration or interpolation. From gas saturation at the front we derive the average gas saturation in the dry-out region, from which we obtain the "solid saturation" S S , i.e., the fraction of pore space filled with solid precipitate. Values of S S derived from this theory show excellent agreement with numerical simulations presented in the preceding companion paper ("Part 1"). Thus, from relative permeabilities and fluid properties at in situ conditions prior to CO 2 injection, it is possible to directly make an accurate estimate of solids precipitation, without having to perform a numerical simulation of the injection process.
A study of jets at the STAR experiment at the relativistic heavy ion collider via two-particle correlations

Jets have been studied in high energy heavy ion collisions by measuring the angular correlation between particles at high transverse momentum. Differences in the yield and shape of the angular correlations as a function of system size give information on the medium produced in the collision. Such modifications can be used to infer the presence of a Quark-Gluon Plasma phase, wherein parton degrees of freedom are manifest over nuclear rather than nucleonic scales. In the present work, two-particle correlations were studied in \(d+Au\) and \(Au+Au\) collisions at \(\sqrt{s_{NN}}\) = 200 GeV measured by the STAR experiment at RHIC. The technique was extended to include pseudo-rapidity, permitting jets to be characterised in two-dimensions, and enabling the jet shape to be studied in greater detail. Corrections were developed for the incomplete detector acceptance and finite two-track resolution. Both unidentified and identified particle correlations were studied, using charged tracks and neutral strange particles \(\Lambda , \overline{\Lambda}\) , and \(K^0_{Short}\) reconstructed from their characteristic \(V\)0 decay topology. The focus of the analysis was the correlation peak centred at zero azimuthal separation, which is significantly enhanced in central \(Au+Au\) collisions compared to lighter systems. The modified peak was found to comprise a jet-like peak broadened in the pseudo-rapidity direction, sitting atop a long range pseudo-rapidity correlation. The former is suggestive of jet modification by the medium, and the latter may indicate a medium response to jets. Correlations with identified particles indicated the modified same side peak may in part be formed from particles originating from the underlying event.
Three focal points for education systems in the 21 st century 1

Introduction Strong and shared growth increasingly depend on the capacity of nations to develop, deploy and upgrade the skills of their citizens. Within this context, the following places an emphasis on three focal points for education systems in the 21 century. The first focus is on essential skills. The second focus is on the effectiveness of impact of education on economic and social outcomes. The third focus is on the dynamic elements of skill formation and skill use.
T HE V OWEL S YSTEM OF P ODHALE G ORALIAN *

This paper is a report on the phonological research done in the past two years investigating Podhale Goralian. The data are drawn from our informants in Dzianisz. The paper establishes the system of surface contrasts in Goralian and identifies instances of complementary distribution. It is claimed that the renowned Podhale Archaism is no longer represented by the vowel [i]. Rather, the vowel has retracted to the central vowel [ɨ]. The original [ɨ], on the other hand, has lowered and fronted and is now best regarded as tense [e]. These transitions of vowels pose challenges for a phonological analysis. A sample of such analysis (Final Tensing) is shown in the framework of Optimality Theory.
Consiglio Nazionale delle Ricerche Load Balancing Hashing for Geographic Hash Tables

—In this paper, we address the problem of balancing the network trafﬁc load generated when querying a geographic hash table. State-of-the-art approaches can be used to improve load balancing by changing the underlying geo-routing protocol used to forward queries in the geographic hash table. However, this comes at the expense of considerably complicating the routing process, which no longer occurs along (near) straight-line trajectories, but requires computing complex geometric transformations. Thus, current load balancing approaches are impractical in application scenarios where the nodes composing the geographic hash table have limited computational power, such as in most wireless sensor networks. In this paper, we propose a novel approach to solve the trafﬁc load balancing problem in geographic hash tables: instead of changing the (near) straight-line geo-routing protocol used to send a query from the node issuing the query (the source) to the node managing the queried key (the destination), we propose to “reverse engineer” the hash function so that the resulting destination density, when combined with a given source density, yields a perfectly balanced load distribution. We ﬁrst formally characterize the desired destination density as a solution of a complex integral equation. We then present explicit destination density functions (taken from the family of Beta distributions) yielding quasi-perfect load balancing under the assumption of uniformly distributed sources. Our theoretical results are derived under an inﬁnite node density model. In order to prove practicality of our approach, we have performed extensive simulations resembling realistic wireless sensor network deployments showing the effectiveness of our approach in considerably improving load balancing. Differently from previous work, the load balancing technique proposed in this paper can be readily applied in geographic hash tables composed of computationally constrained nodes, as it is typically the case in wireless sensor networks.
Temporal sentence grounding in videos with ﬁne-grained multi-modal correlation

Video has become a new way of communication between Internet users with the proliferation of and sensor-rich mobile devices. Since the redundant background information in video data, people need to spend much time to browse and analyse video content. Therefore, this motivates us to investigate the temporal sentence grounding task in videos. Formally, given an untrimmed video and a natural language sentence query, the task is to identify the start and end points of the video segment in response to the given sentence query. With such a technique, people can quickly ﬁnd speciﬁc content of interest in the video by providing a clear and concise text description, thereby improving the users . video browsing experience and search eﬃciency. Previous methods often formulate the temporal grounding task as a multi-modal matching problem. Doing so ignores the important sentence details for grounding, and also neglects the important guiding role of sentences to compose and correlate video contents over time, which causes very limited temporal grounding accuracy. In order to solve the above problems, we ﬁrst propose a multi-modal co-attention mechanism to mine important semantic details for temporal grounding in the given query, and ﬁnely construct the semantic correlation between each word in the sentence and the video content. On this basis, we further propose a semantic condition dynamic normalization mechanism to tightly compose the sentence-related video content over time, and a clip-level actionness prediction module for ﬁne-grained temporal boundary adjustment, thus making the temporal grounding results in the video more clear, ﬂexible and accurate. Experiments on public datasets also verify our eﬀectiveness and superiority over the state-of-the-arts. Last but not least, we present our insights on future research directions that deserve further investigation in the area of audio-enabled temporal grounding techniques, weakly supervised grounding problem formulation, and the construction of debiased temporal grounding datasets.
FirstPersonScience: An Open Source Tool for Studying FPS Esports Aiming

First-person shooters (FPS) games are dominant in the competitive gaming and esports community. However, relatively few tools are available for experimenters interested in studying mechanics of these games in a controlled, repeatable environment. While other researchers have made progress with one-off applications as well as custom content and mods for existing games, we are not aware of a general purpose application for empirically studying a broad set of user interactions in the FPS context. For the past few years our team has developed, maintained, and deployed First Person Science (FPSci), a tool for controlled user studies in FPS gaming. FPSci experimenters configure their desired base environment, as well as conditions and user preferences using a simplified JSON-esque set of input configurations, and results are stored in an SQLite database. By allowing finer grained parametric control of the environment together with frame-wise logging of player state and performance metrics, we achieve a level of granularity of control not offered by other solutions. FPSci is available as an open source project 1 under a CC BY-NC-SA 4.0 license.
Conversion of cotton residues to bio-oil and chemicals through flash pyrolysis in a fluidised bed reactor

Pyrolysis process offers solution to utilise huge quantity of biomass to produce fuel for energy needs. This paper describes the development of a new model for waste cotton shell pyrolysis. This model calculates the minimum fluidisation velocity for various sand particles for better fluidisation. Cotton shell wastes were subjected to pyrolysis at atmospheric pressure under inert gas atmosphere in a fluidised bed setup to determine the effect of operation parameters. The sand particle size 0.71 mm offered better fluidisation and is more economical as it utilises low hydrogen flow rate. The maximum yield of bio-oil 51 wt% can be obtained under the operation parameters of 450°C pyrolysis temperature, 1 mm particle size at sweep gas flow rate of 1.75 m3/h. In addition, the characterisation study of the bio-oil has been done for its physical and chemical analysis with gas chromatography mass spectroscopy. The elements and its derivatives found in the GC-MS analysis are used as a feed stock for chemical industries.
Question/answering dengan Answer Quality Predictor Non-textual Feature

Abstrak. Question/Answering adalah sebuah aplikasi berbasis web dimana setiap user dapat mengajukan pertanyaan dan menjawab pertanyaan dan berpartisipasi didalam mengevaluasi pertanyaan dan / atau jawaban dalam berbagai topik. Kebebasan dan kemudahan dalam partisipasi user didalam sistem ini, menyebabkan beragamnya kualitas dari informasi yang ada didalam sistem. Di dalam paper ini dikembangkan sebuah aplikasi Question/Answering Portals yang dimana user dapat mengajukan pertanyaan, menjawab pertanyaan, melihat jawaban yang diberikan oleh user lain, mengevaluasi jawaban user lain, dan melakukan pencarian terhadap pertanyaan / jawaban yang sudah terselesaikan. Aplikasi ini juga dilengkapi dengan answer quality predictor yang menerapkan metode non-textual feature. Berbeda dengan aplikasi-aplikasi yang sebelumnya telah ada, aplikasi yang dikembangkan ini memiliki kemampuan untuk melakukan penilaian terhadap jawaban yang diberikan oleh user. Dalam melakukan penilaian terhadap jawaban, answer quality predictor menggunakan fitur-fitur non-textual yang pada sebuah jawaban seperti panjang jawaban, rekomendasi user, jumlah klik, dan beberapa fitur lainnya.
Invasive Group B Streptococcal Disease of Differentiation Factor 88 in a Mouse Model Dual Role of TLR2 and Myeloid

Toll-like receptors (TLRs) are involved in pathogen recognition by the innate immune system. Different TLRs and the adaptor molecule myeloid differentiation factor 88 (MyD88) were previously shown to mediate in vitro cell activation induced by group B streptococcus (GBS). The present study examined the potential in vivo roles of TLR2 and MyD88 during infection with GBS. When pups were infected locally with a low bacterial dose, none of the TLR2- or MyD88-deﬁcient mice, but all of the wild-type ones, were able to prevent systemic spread of GBS from the initial focus. Bacterial burden was higher in MyD88- than in TLR2-deﬁcient mice, indicating a more profound defect of host defense in the former animals. In contrast, a high bacterial dose induced high level bacteremia in both mutant and wild-type mice. Under these conditions, however, TLR2 or MyD88 deﬁciency signiﬁcantly protected mice from lethality, concomitantly with decreased circulating levels of TNF- (cid:1) and IL-6. Administration of anti-TNF- (cid:1) Abs to wild-type mice could mimic the effects of TLR2 or MyD88 deﬁciency and was detrimental in the low dose model, but protective in the high dose model. In conclusion, these data highlight a dual role of TLR2 and MyD88 in the host defense against GBS sepsis and strongly suggest TNF- (cid:1) as the molecular mediator of bacterial clearance and septic shock. The Journal of Immunology, 2004, 172: 6324–6329. that MyD88 or TLR2 deﬁciency had similar effects in neonatal and adult mice in terms of their susceptibility to GBS infection.
Mindfulness in Parenting and its implications

Background: Parenting is one of the most challenging and stressful jobs. At the same time, its significance lies in the influence it has on the life of the one being parented. Various cognitive and behavioral models teach us how to control and modify behavior of children but do not regard the inner experience of parenting. Such models often reduce children to mere guinea pigs, ignoring their sensitive hearts and minds. This is the place where mindfulness can bridge the gap and make us more sensitive and appreciative of children’s inner experience. Aim: In this paper, we define and discuss the concept of mindfulness and its application to parenting. Methods: We outline the skills of mindfulness and how these practicescan help in positive changes for parents and their children. Finally, we discuss the evidence to support the application of mindfulness as an intervention to better the parent-child relationship, and recommend future directions for research and discussion. Results and conclusions: Mindfulness can help parents learn being purposefully aware of their own experience of parenting. Mindfulness can teach parents to nourish their children in an optimal manner so that their children, and they themselves can realize their full potential.
Changing social milieu and emotional disorders of childhood

Introduction: The Indian society has been undergoing a visible change due to various reasons resulting in a change in social and family milieu. Children and adolescents being recipients of the changing family set up, changing relationships and the cumulative stress face numerous problems. Emotional disorders of children and adolescents are on the rise among the different psychiatric disorders of children. Parent, child and environmental factors have been implicated in the development of such disorders . Aims: To explore the conflicts of children with emotional disorders and to find the association of the conflicts assessed on Sentence Completion Test and Children’s Apperception Test with the clinical variables from the case study. Methodology: Retrospective study of 27 children and adolescents diagnosed as emotional disorders were taken and conflicts were assessed by Sentence Completion Test and Children Apperception Test, which were analyzed with clinical variables. Results: Majority of children, both males and females had disturbed relationship with parents (48%) and perceived family environment as unhealthy, had poor coping skills (85%), weak self identification(48%) and were unable to express themselves(74%). Discussion and Conclusion: Poor parenting and poor inter-parental relationship have been found to be an important contributing factor in emotional disorders of children and adolescents.
Resilent Access Control Model

ABSTRACT Resilience is the ability to expect, prepare for, and respond and adjust to change in order to survive and prosper when unexpected disruptions occur. This method has been recognized in business, risk management, disaster recovery, and continuity plans. In this work, this philosophy has been applied to access control methodologies to minimize time and the cost of use of out-of-band reauthentication. The resilient authentication base for absorb authentication faults and goes into recovery mode rather than enforce the out-of-band with its cost overhead. The resilient access control model is evaluated and assessed in a simulation mode to estimate its efficiency, reliability, and cost.
A New Content-Based Image Retrieval Framework for Medical Applications

: In this paper, an approach for Content Based Image Retrieval (CBIR) in Medical Applications (IRMA) with particular focus on its Semantic gap measurement of classification modelling, its concept for feature representation, feature selection and distance computation for efficient implementation is presented. In addition, the proposed model is presented to some applications such as skull, hand and mammogram images of breast to show the general applicability of the concept. The method described in this work contains two major stages image analysis and image retrieval. The objective of the image analysis stage is to perform pre-processing stage using Median Filtering (MF) to remove noises from images samples, examine the global and local feature descriptors as well as textural features of mammograms and then test the statistical significance of the differences between normal and abnormal mammograms. In medical images texture feature plays a major role, so in this work texture features are extracted using Gray level Co-Occurrence Matrix (GLCM). These discriminating features are selected using Harmony Search (HS) to construct a feature descriptor of mammograms, skull and hand images. The descriptor constructed in the image analysis stage is embedded into the CBIR system. The feature descriptor is extracted from the query image in order to retrieve the mammograms, skull and hand images relevant to the query image. The Discriminative Dictionary Learning (DDL) is used in the proposed system to perform a similarity measure in the classified and indexed feature vector space. Hybrid Fuzzy Neural Network (HFNN) based Relevance Score (RS) mechanism is also adopted to reduce the semantic gap. Precision, Recall, F-measure, Accuracy, Sensitivity and Specificity metrics is used as a measure of performance in the proposed GLCM-HS-DDL system. The Experimental results reveal that the retrieval performance of the proposed GLCM-HS-DDL system for heterogeneous medical image database is better than the existing systems at high accuracy and less error rate.