Miracle-dz/UniFAR-FTUs huggingface dataset:
A unified analysis of the habitual and in-progress readings of á in Blackfoot∗

Forms labeled “imperfective” across a number of languages exhibit two distinct meanings: an in-progress interpretation and a habitual interpretation. The verbal prefix áin Blackfoot has several properties (including use in expressing the above two meanings) that indicate it is the functional equivalent of so-called imperfectives in Indo-European (IE) languages. Following in the work of Bonomi (1997) on the Italian imperfetto, this paper argues for a unification of the in-progress and habitual readings of áin Blackfoot. The amenability of Bonomi’s analysis to Blackfoot constitutes an argument for its adoption in language-particular semantic analyses of what appears to be a cross-linguistic semantic class: the imperfective.
MidiMe: Personalizing a MusicVAE model with user data

EXTENDED ABSTRACT One of the areas of interest for music generative models is to empower individual expression. But how can a creator personalize a machine learning model to make it their own? Training a custom deep neural network model like Music Transformer [3], MusicVAE [4] or SketchRNN [2] from scratch requires signiﬁcant amounts of data (millions of examples) and compute resources (specialized hardware like GPUs/TPUs) as well as expertise in hyperparameter tuning. Without sufﬁcient data, models are either unable to produce realistic output (underﬁtting), or they memorize the training examples and are unable to generalize to produce varied outputs (overﬁtting) – it would be like trying to learn all of music theory from a single song. We introduce a new model for sample-efﬁcient adaptation to user data, based on prior work by Engel et al [1]. We can quickly train this small, personalized model to control a much larger, more general pretrained latent variable model. This allows us to generate samples from only the portions of the latent space we are interested in without having to retrain the large model from scratch. In fact, training this model is so fast that we can do it in a couple of seconds in the browser, using Magenta.js [5]. We demonstrate this technique in an online demo 1 that lets users upload their own MIDI ﬁles (melodies or multi-instrument songs) and generate samples that sound like their input. Screenshots of this demo can be seen in Figure
Improving the performance of online auction sites through closing time rescheduling

The workload of auction sites exhibits some interesting features as indicated in previous work by the authors. Of particular importance to this paper is the fact that over thirty percent of the bids of an auction arrive in the last five percent of the auction's lifetime. This creates a surge in the load seen by auction sites as an auction's closing time approaches. The site's performance is degraded if the site is not able to cope with these load spikes. With performance degradation comes frustrated customers and lost business. To mitigate this problem, we propose that auction sites reschedule auction closing times within a relatively small window centered around the closing time originally proposed by a customer. The scheduler's goal is to more evenly distribute the number of closings of auctions in order to produce a more uniform distribution of the number of bids on the auction site. This paper describes the auction closing time scheduling algorithm, applies it to a trace of auctions and bids obtained from an actual auction site, and uses a simulation model to study the effects of the rescheduled trace on the site's performance. In addition to that, the paper presents an algorithm to obtain a complete knowledge (CK) but nonrealizable schedule. This schedule could be used as a benchmark for comparison with the realizable rescheduled load.
A Basic Tool Kit for Sparse Matrix Computations

Presented here are the main features of a tool package for manipulating and working with sparse matrices. One of the goals of the package is to provide basic tools to facilitate the exchange of software and data between researchers in sparse matrix computations. The starting point is the Harwell/Boeing collection of matrices for which the authors provide a number of tools. Among other things, the package provides programs for converting data structures, printing simple statistics on a matrix, plotting a matrix profile, and performing linear algebra operations with sparse matrices.
Improving the performance of a SVM+HOG classifier for detection and tracking of wagon components by using geometric constraints

The inspection of train and railway components that can cause derailment plays a key role in rail maintenance. To improve productivity and safety, service providers look for automatic and reliable inspection solutions. Although automatic inspection based on computer vision is a standard concept, such an application challenges development community due to the environmental and logistic factors to be considered. Previous publications presented automatic classifiers to evaluate integrity and placement of wagon components. Although the high classification accuracy reported, ineffective object detection affected the general performance. Our object detector/tracker consists of a descriptor based on the histogram of oriented gradients, a support vector machine classifier, and a set of geometric constraints, which takes in account the ideal trajectory path of the wagon’s components of interest and the distances between them. We detail training and validation procedures, together with the metrics used to assess the performance of the system. Presented results compare two other techniques with our approach, which exhibits a fair trade-off between reliability and computational complexity for the application of wagon component detection.
New C-Terminal Conserved Regions of Tafazzin, a Catalyst of Cardiolipin Remodeling

Cardiolipin interacts with many proteins of the mitochondrial inner membrane and, together with cytochrome C and creatine kinase, activates them. It can be considered as an integrating factor for components of the mitochondrial respiratory chain, which provides for an efficient transfer of electrons and protons. The major, if not the only, factor of cardiolipin maturation is tafazzin. Variations of isoform proportions of this enzyme can cause severe diseases such as Barth syndrome. Using bioinformatic methods, we have found conserved C-terminal regions in many tafazzin isoforms and identified new mammalian species that acquired exon 5 as well as rare occasions of intron retention between exons 8 and 9. The regions in the C-terminal part arise from frameshifts relative to the full-length TAZ transcript after skipping exon 9 or retention of the intron between exons 10 and 11. These modifications demonstrate specific distribution among the orders of mammals. The dependence of the species maximum lifespan, body weight, and mitochondrial metabolic rate on the modifications has been demonstrated. Arguably, unconventional tafazzin isoforms provide for the optimal balance between the increased biochemical activity of mitochondria (resulting from specific environmental or nutritional conditions) and lifespan maintenance; and the functional role of such isoforms is linked to the modification of the primary and secondary structures at their C-termini.
Modern Rehabilitation in Osteoporosis, Falls, and Fractures

In prevention and management of osteoporosis, modern rehabilitation should focus on how to increase muscular and bone strength. Resistance exercises are beneficial for muscle and bone strength, and weight-bearing exercises help maintain fitness and bone mass. In subjects at higher risk for osteoporotic fractures, particular attention should be paid to improving balance – the most important element in falls prevention. Given the close interaction between osteoporosis and falls, prevention of fractures should be based on factors related to bone strength and risk factors for falls. Fractures are the most serious complication of osteoporosis and may be prevented. The use of modern spinal orthosis helps to reduce pain and improve posture. Vibration platforms are used in rehabilitation of osteoporosis, based on the concept that noninvasive, short-duration, mechanical stimulation could have an impact on osteoporosis risk. Pharmacologic therapy should be added for those at high risk of fracture, and vitamin D/calcium supplementation is essential in all prevention strategies. Success of rehabilitation in osteoporotic and fractured subjects through an individualized educational approach optimizes function to the highest level of independence while improving the overall quality of life.
Optimization of Different Control Parameters of a Cold Storage using Taguchi Methodology

In this project work design of experiments have been used to optimize various control factors of a cold storage so as the heat gain in the cold room or in the other words the heat flow from the outside ambience to the inside of the cold room will be minimum. Taguchi orthogonal array have been used as a design of experiments. Three control factors with three levels of each have been chosen for analysis. The control factors are insulation thickness of the side walls (TW), area of the side walls (AW), and insulation thickness of the roof (TR). Different amount of heat gains in the cold room for different set of test runs have been taken as the output parameter. The objective of this work is to find out the optimum setting of the control factors or design parameters so as the heat gain in the cold room will be minimum. The Taguchi S/N ratio analysis have used as an optimization technique. Smaller the better type S/N ratio have used for calculating the optimum level of control parameters, because it is a minimization problem. Analysis of variance ANOVA was also performed on the test results to find out the significant control factors. After analysis the results showed that the insulation thickness of the side walls (TW) is the most significant control factor followed by the area of the wall (AW). Insulation thickness of the roof (TR) is not statistically significant.
Real-time accurate pedestrian detection and tracking in ch allenging surveillance videos

This paper proposes a novel approach for real-time robust pe destrian tracking in surveillance images. Such images are challenging to analyse since the overall image qu ality is low (e.g. low resolution and high compression). Furthermore often birds-eye viewpoint wide-angle l enses are used to achieve maximum coverage with a minimal amount of cameras. These specific viewpoints make it difficult or even unfeasible to directly apply existing pedestrian detection techniques. Moreover, real -time processing speeds are required. To overcome these problems we introduce a pedestrian detection and trac king framework which exploits and integrates these scene constraints to achieve excellent accuracy results. W e performed extensive experiments on challenging real-life video sequences concerning both speed and accura cy. We show that our approach achieves excellent accuracy results while still meeting the stringent real-ti me demands needed for these surveillance applications, using only a single-core CPU implementation.
Non-insulin dependent diabetes mellitus (NIDDM) and patterns of osteoarthritis

Objectives: Despite recent advances regarding the role of diabetes with respect to cartilage metabolism, epidemiologic data to quantify the role of diabetes in the development of osteoarthritis (OA) are sparse. Methods: OA patterns were studied in 809 patients with knee or hip joint replacement due to OA. NIDDM was dee ned by a history of physician diagnosed diabetes or use of antihyperglycemics. Results: Patients with NIDDM had more often bilateral OA (adjusted odds ratio (OR) =2.2; 95% cone dence interval (CI): 0.8‐ 6.4). No association between NIDDM and generalized OA (adjusted OR =1.0; 95%CI: 0.5‐ 1.9) was observed. Conclusions: Our results are consistent with the hypothesis that NIDDM might be a potentially important systemic risk factor for knee and hip OA, but chance cannot be ruled out as an alternative explanation.
Is Acupuncture for Pain Relief in General Practice Cost-Effective?

Sixty-five selected patients with pain, mainly of musculo-skeletal origin, were offered treatment by a qualified medical acupuncturist in his general practice surgery as an alternative to hospital outpatient referral. The patients assessed their own outcomes on a digital scale: there were 46 successful treatments and 14 failures, with 5 being lost to follow up. The cost of acupuncture treatment was compared to that of the referral that would have been made if acupuncture had not been offered. The acupuncture was found to have cost £10,943 against a minimum likely cost for hospital referrals of £26,783. A minimum total saving for all 60 patients of £13,916 was determined, giving an average saving per patient of £232. Additional hidden savings through avoiding further hospital procedures and expenditure on medication were not taken into account. It is concluded that acupuncture in selected patients and when used by an appropriately qualified practitioner appears to be a cost-effective therapy for use in general practice, reducing the need for more expensive hospital referrals.
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

Abstract Neural architecture search (NAS) has shown great potential in automating the manual process of designing a good CNN architecture for image classification. In this paper, we study NAS for object detection, a core computer vision task that classifies and localizes object instances in an image. Existing works focus on transferring the searched architecture from classification task (ImageNet) to the detector backbone, while the rest of the architecture of the detector remains unchanged. However, this pipeline is not task-specific or data-oriented network search which cannot guarantee optimal adaptation to any dataset. Therefore, we propose an architecture search framework named Auto-FPN specifically designed for detection beyond simply searching a classification backbone. Specifically, we propose two auto search modules for detection: Auto-fusion to search a better fusion of the multi-level features; Auto-head to search a better structure for classification and bounding-box(bbox) regression. Instead of searching for one repeatable cell structure, we relax the constraint and allow different cells. The search space of both modules covers many popular designs of detectors and allows efficient gradient-based architecture search with resource constraint (2 days for COCO on 8 GPU cards). Extensive experiments on Pascal VOC, COCO, BDD, VisualGenome and ADE demonstrate the effectiveness of the proposed method, e.g. achieving around 5% improvement than FPN in terms of mAP while requiring around 50% fewer parameters on the searched modules.
Professionalism and Professionalisation in the Discipline of Paramedicine

Background Professionalisation was cited as one of the key drivers for the recent addition of paramedics to the National Accreditation and Regulation Scheme (NRAS) making paramedics the fifteenth health profession in the NRAS. Self-regulation inherently shifts the basis of establishing professional identity and the formal authority for determining professional standards. This has increased discussion of professionalism in paramedicine, however, professionalisation and professionalism are often poorly defined concepts with a myriad of interpretations. Method A scoping review was conducted to determine the available literature about professionalism and professionalisation in paramedicine. The review utilised 10 academic databases augmented with Google and Google Scholar to capture grey literature; 2740 results were refined to 53 sources for review. Results Several works on paramedic professionalisation explore elements such as autonomy and occupational characteristics. Others consider the process of professionalisation for United Kingdom (UK) and Australian paramedics. Education is discussed as a key factor in professionalism, while the increasing scope and diversity of roles in paramedicine is explored as indicative of professionalisation. Several UK papers relate professionalisation and culture to change processes within paramedicine and paramedic organisations. Discussion Academic work on professionalisation and professionalism in paramedicine appears sporadic and may benefit from explorations of a wider range of theories. Paramedicine has been described as constantly and rapidly developing around its practitioners rather than being a stable profession where practitioners enter with clear expectations of their ongoing identity. Further work is needed to understand the process of professionalisation that paramedicine is undergoing within its cultural and professional context.
Model-based integration testing technique using formal finite state behavioral models for component-based software

Many issues and challenges could be identified when considering integration testing of Component-Based Software Systems (CBSS). Consequently, several research have appeared in the literature, aimed at facilitating the integration testing of CBSS. Unfortunately, they suffer from a number of drawbacks and limitations such as difficulty of understanding and describing the behavior of integrated components, lack of effective formalism for test information, difficulty of analyzing and validating the integrated components, and exposing the components implementation by providing semi-formal models. Hence, these problems have made it in effective to test today’s modern complex CBSS. To address these problems, a model-based approach such as Model-Based Testing (MBT) tends to be a suitable mechanism and could be a potential solution to be applied in the context of integration testing of CBSS. Accordingly, this thesis presents a model-based integration testing technique for CBSS. Firstly, a method to extract the formal finite state behavioral models of integrated software components using Mealy machine models was developed. The extracted formal models were used to detect faulty interactions (integration bugs) or compositional problems between integrated components in the system. Based on the experimental results, the proposed method had significant impact in reducing the number of output queries required to extract the formal models of integrated software components and its performance was 50% better compared to the existing methods. Secondly, based on the extracted formal models, an effective model-based integration testing technique (MITT) for CBSS was developed. Finally, the effectiveness of the MITT was demonstrated by employing it in the air gourmet and elevator case studies, using three evaluation parameters. The experimental results showed that the MITT was effective and outperformed Shahbaz technique on the air gourmet and elevator case studies. In terms of learned components for air gourmet and elevator case studies respectively, the MITT results were better by 98.14% and 100%, output queries based on performance were 42.13% and 25.01%, and error detection capabilities were 70.62% and 75% for each of the case study.
Whittaker Functions: Number Theory, Geometry and Physics 13w5154

What are now understood as GL(2,R) Whittaker functions were initially defined by Whittaker as solutions to the confluent hypergeometric differential equation [19]. H. Jacquet used the term “Whittaker function” in his thesis to refer to a more general class of special functions on a reductive group G over a local field F [13]. In the case of G = SL(2) and F = R, this reduces to the original definition. As we discussed during the workshop, and will explain in the following pages, Whittaker functions exhibit what one might call an “unreasonable eclecticness” as they seem to arise in critical roles in many different contexts in mathematics and physics. At present, many of these connections remain relatively unexplored. The goal of the workshop was to report on and chart future progress toward such connections. Here are several prominent appearances of Whittaker functions, in areas where there has been recent important activity. We observe that these connections tend to point in the direction of deeper connections with quantum groups and geometry (including geometric Langlands theory).
PROCESS FOR THE CATALYTIC HYDROTRETMENT OF HEAVY HYDROCARBONS OF PETROLEUM

Inventors: Jorge Ancheyta Juarez, Eje Central Norte Lazaro Cardenas (MX); Gerardo Betancourt Rivera, Eje Central Norte Lazaro Cardenas (MX); Gustavo Marroquin Sanchez, Eje Central Norte Lazaro Cardenas (MX); Guillermo Centeno Nolasco, Eje Central Norte Lazaro Cardenas (MX); Jose Antonio Domingo Munoz Maya, Eje Central Norte Lazaro Cardenas (MX): Fernando Alonso Martinez, Eje Central Norte Lazaro Cardenas (MX)
Equations of State of Simple Solids (Including Pb, NaCl and LiF) Compressed in Helium or Neon in the Mbar Range

The equations of state measured under ambient temperature in the Mbar range are reviewed, focusing on experiments using diamond anvils cells with a quasi-hydrostatic pressure transmitting medium (helium or neon) and coupled with X-ray diffraction. Equations of state (EoS) parameters are listed with an unified pressure metrology for all data. This metrology is based on the efforts made in the 2000s to update the ruby luminescence pressure scale, after the collection of original data. To complete this database, unpublished P-V data for lead (Pb), sodium chloride (NaCl) and lithium fluoride (LiF) are also provided with the same metrology. Systematic effects of the pressure metrology on the EoS parameters are discussed.
Side Channel Attack

Embedded frameworks remain continuously adopted in a varied range of application places. Cryptography is the design besides analysis of calculated structures that enable communications for security issue in the presence of malicious adversaries. Side channel attacks are a current class of attacks that remains very powerful in practice. Via measuring side channel data , the attacker is have the ability to recover very sensitive data . Despite the fact that conventional done-channel attacks, such by means of power analysis attacks besides electromagnetic analysis attacks, required physical presence of the attacker by means of expensive equipment, an application is all it takes to exploit the leaking data on nowadays trendy mobiles. Given the vast amount of sensitive data that remain putting in storage on smartphones, the ramifications of side-channel attacks affect both the security besides confidentiality of utilize r’s besides their gadget.
NEW EVIDENCE FOR THE PROTEROZOIC BIG SKY OROGENY RECORDED IN BIOTITE-GARNET-SILLIMANITE GNEISSES FROM MYLONITIC ZONES IN THE HIGHLAND MOUNTAINS, MONTANA

Precambrian gneisses in the Highland Mountains of SW Montana hold information about the regional extent and effects of the Big Sky Orogeny, an upper-amphibolite grade tectonic event at ~1.77 Ga (Harms et al., 2004). Dynamic fabrics in high-temperature mylonitic rocks at Camp Creek and other sites offer the means to assess metamorphic conditions and kinematic shear sense during tectonism. Garnet, K-feldspar and aligned prismatic sillimanite suggest temperatures in excess of 650oC at Camp Creek. Dynamic fabrics are overprinted by randomly oriented prismatic sillimanite and muscovite, suggesting that metamorphism at moderate temperature outlasted deformation. Investigation of the textures may be used to test the applicability of the Big Sky orogeny pressure-temperature path formulated for the neighboring Tobacco Root Mountains (Cheney et al., 2004).