Miracle-dz/UniFAR-FTUs huggingface dataset:
Microarchitectural Simulator for Shader Cores in a Modern GPU Simulation Infrastructure

Mobile devices have emerged as one of the most rapidly spread technologies, with users spending a significant amount of time playing games on these devices. The evolution of smartphone games along with a supplementary increase in resolution has lead to a growing demand for more visually compelling graphics on mobile devices, which require significant energy consumption to maintain. However, the battery capacity of these devices does not grow at the same time as the computing capabilities, creating an everincreasing gap. Therefore, it has become increasingly important to facilitate the study of energy-efficient architectures for GPUs in mobile devices. Inspite of this, accurate full-system simulators for mobile graphics systems are rare. TEAPOT is a cycle-accurate simulator for mobile-GPU systems and is the state of the art in this area. There were certain aspects of the shader core in TEAPOT that were identified to be capable for improvement. The objective of this project is to redesign the shader cores in TEAPOT to match the contemporary microarchitecture of shader cores. The register file was changed and a banking mechanism used. A new stage named ‘Operand Collector’ was added in order to buffer instructions with register bank conflicts. A new Issue Scheduling mechanism was implemented. The width of the pipeline was changed to two. An I-Buffer was included in the Fetch stage. The Execute unit was pipelined and more write ports were added to the Writeback stage. After this, the functionality and accuracy of the new features of the implemented model were validated using various tests. The tests involved observing different metrics of the shader core, like IPC, while some parameters of the newly implemented model were varied. Lastly, three experiments were conducted in order to explore some microarchitectural designs with a representative set of current mobile graphics applications. With these, we first studied the improvement in performance using the register allocation scheme used in TEAPOT. We also found the optimum range of the total number of warps and the optimum register file size for the benchmarks used.
A Double-Edged Sword: Aneuploidy is a Prevalent Strategy in Fungal Adaptation

Aneuploidy, a deviation from a balanced genome by either gain or loss of chromosomes, is generally associated with impaired fitness and developmental defects in eukaryotic organisms. While the general physiological impact of aneuploidy remains largely elusive, many phenotypes associated with aneuploidy link to a common theme of stress adaptation. Here, we review previously identified mechanisms and observations related to aneuploidy, focusing on the highly diverse eukaryotes, fungi. Fungi, which have conquered virtually all environments, including several hostile ecological niches, exhibit widespread aneuploidy and employ it as an adaptive strategy under severe stress. Gambling with the balance between genome plasticity and stability has its cost and in fact, most aneuploidies have fitness defects. How can this fitness defect be reconciled with the prevalence of aneuploidy in fungi? It is likely that the fitness cost of the extra chromosomes is outweighed by the advantage they confer under life-threatening stresses. In fact, once the selective pressures are withdrawn, aneuploidy is often lost and replaced by less drastic mutations that possibly incur a lower fitness cost. We discuss representative examples across hostile environments, including medically and industrially relevant cases, to highlight potential adaptive mechanisms in aneuploid yeast.
Fast and Lightweight Person Detector for Unmanned Aerial Vehicles

The surge of affordable, small unmanned aerial vehicles (UAVs) opens up many new possibilities for applications, which often rely on locating relevant objects within a scene. Besides accurate object detection, inference time is a key factor for real-world applications, as fast models can be deployed directly on mobile platforms, such as UAVs. However, current state-of-the-art detectors are typically not suited for this type of deployment. In this work, we propose a fast and lightweight onboard detector for the task of person detection in UAV imagery. We perform several adaptations to speed up the SSD detector, which comprises our base detection framework. Adjustments of the network include lightweight backbone architecture, filter pruning, and tuning of implementation details. A thorough evaluation of all factors is carried out on two mobile platforms. Our proposed detector is about 24 times faster on Jetson AGX platform compared to the baseline, while the detection accuracy is only slightly impacted. Furthermore, we demonstrate the robustness of our proposed detector on unseen scenarios in a cross domain setting.
Gordon's Guide to the Surgical Morbidity and Mortality Conference

Every real professor goes to bed at night praying his boss will die, resign, leave, or be fired! Respect your elders. So what if the guy refers to phenol, alcohol, and phlogiston? He was in the trenches when you were in diapers. Show some respect! Resident: The patient developed respiratory distress on the third postoperative day. Braniac Professor: Did you measure his 2,3 diethyl cyclic esterase preop? (This will be asked as if this were a hematocrit.) Maniac Professor: We see this frequently in our limb-lengthening patients. The author of the above selections, Dr Leo Gordon, thinks that the surgical morbidity and mortality conference (M and M) is a central element of the surgical trainee's education and should be improved and reemphasized. To that end he has writtenGordon's Guideto same, inspired by Strunk and White's succinctElements of Style. It is culled from his observations at "hundreds of
Spreading Myths around Building Renovation : Information Failure Prevails in Germany

There has been a wide range of policy measures in Germany for overcoming information barriers regarding building energy efficiency. Soft measures, like energy consultation for households, online tools providing information on retrofit options, and energy-saving campaigns are widespread applied policy instruments. Surprisingly though, lack of trust in craftsmen, energy consultants, manufacturers and the stated advantages of energy-efficient renovation is prevalent in the population. Recent studies show that information failure is one of the greatest barriers to exploiting the German residential energy efficiency potential. At present, a negative campaign is running in the German media against building renovation. Well marketed myths like “insulation catches fire easily”, “energy-efficient windows cause mildew” or “renovations make tenants poor” make households step back from improving the energy efficiency of their residents. As a result, building renovation, in general, is becoming less and less popular among German households. This paper gives an insight to current mass media communication in Germany and tries to reveal the reasons for the spreading of myths with respect to the counteracting interests of different stakeholders.
NCoVaR Granger causality

We propose a new methodology to assess risk transmission effects between individual companies or sectors and to measure their contributions to systemic risk. We extend the Conditional Value-at-Risk (CoVaR) approach, introducing explicit nonparametric CoVaR (NCoVaR) measures of cross-sectional dependence and Granger causality. By showing that the natural estimators are U-statistics, we construct formal nonparametric tests for independence and NCoVaR Granger non-causality. Numerical simulations confirm that in common situations the nonparametric tests have better size and power properties than their parametric counterparts. The methodology is illustrated empirically by assessing risk transmissions between sovereigns and banking sectors in the euro area.
Intelligent Method of the Automated Design of Technological Processes of Machining

The paper presents an intelligent method of computer-aided design of technological processes of mechanical processing, based on the principles of an intelligent approach to information processing and the use of knowledge systems in solving technological design problems. A unified approach to the design of technological processes is proposed, implemented through a graph model representing the relationships between data. When developing operations, structural synthesis is used based on successive chains of knowledge of transitions. For this purpose, knowledge elements have been created and are described in the XSD language. Elements of knowledge of technological transitions determine the technological actions associated with the processing of the elementary surfaces of the part. The practical implementation of chains of executive transitions is proposed to be implemented using functional programming. To implement the digital transformation of the technological preparation of mechanical processing using the intelligent approach, a method of forming a prototype of the technological process was developed. Keywords—Intelligent method, graph model, technological process, knowledge element, functional design, functional programming, synthesis, XSD language.
Detection of Fraud Apps using Sentiment Analysis

Rank misrepresentation in the portable Application advertise alludes to extortion/misleading exercises whose lone object is to have a reason for hitting up the Applications in the prominence list. It turns out to be more incessant for Application designers to utilize terrible means, for example, expanding their Application deals or posting false App evaluations, to confer positioning extortion. It is vital to avoid positioning fraudas there is restricted comprehension and research in this field. Up till now, in this paper, we have given a comprehensive perspective of positioning misrepresentation and recommended positioning extortion identification framework.
Rapid analysis of the bioactive components in Saxifraga stolonifera, an edible and medicinal herb with anti-tumor effects, by HPLC-DAD, ESI/MSn

Saxifraga stolonifera is an edible and herbaceous plant, which has been demonstrated to have anti-tumor effects in vivo and in vitro. The aim of this paper is to determine the main bioactive components inS. stolonifera, and their distribution in different parts of S. stolonifera and in S. stolonifera that was cultivated in different places in China using a high-performance liquid chromatography-diode array detector and electrospray ionization/ion trap mass spectrometry (HPLC-DAD-ESI/MSn). Four main components were identified and three were quantified. The contents of gallic acid, protocatechuic acid and bergenin had significant differences not only between the roots and stems-leaves of the plant, but also among different cultivated varieties of S. stolonifera. The experiment showed that the method used here exhibited good repeatability and recovery. Therefore, the results provide reliable data for research and development in the future on the level and distribution of the three bioactive components of S. stolonifera.
Approaches to Integrated Malware Detection and Avoidance

An implementation of a mandatory virus protection policy is described. This policy is implemented within an implementation of the Generalized Framework for Access Control (GFAC) on the Linux operating system. This approach is similar, but more secure, than that implemented in IBM AntiVirus. The implementation is extended to include socket accesses in order to prevent malicious code entering the system via network connections. Finally, the challenges that are posed by application-level code (e.g. so-called Macro viruses) are discussed.
Acoustic specification of upper limb movement in voicing: Exploratory data report and pre-registration

Hand gestures communicate complex information to listeners through the visual information created by movement. In a recent study, however, we found that there are also direct biomechanical effects of high-impetus upper limb movement on voice acoustics. Here we explored whether listeners could detect information about movement in voice acoustics of another person. In this exploratory study, participants listened to a recording of a vocalizer who was simultaneously producing low- (wrist movement) or high- (arm movement) impetus movements at three different tempos. Listeners were asked to synchronize their own movement (wrist or arm movement) with that of the vocalizer. Listeners coupled with the frequency of the vocalizer arm (but not wrist) movements, and showed phase-coupling with vocalizer arm (but not wrist) movements. However, we found that this synchronization occurred regardless of whether the listener was moving their wrist or arm. This study shows that, in principle, there is acoustic specification of arm movements in voicing, but not wrist movements. These results, if replicated, provide novel insight into the possible interpersonal functions of gesture acoustics, which may lie in communicating bodily states. The second part of the paper is a pre-registration for the confirmatory study that will assess the research question in a larger sample with more diverse and naturalistic stimuli.
Glycemic Index and Glycemic Load of Selected Foods Incorporated with Green Leafy Vegetables, Millets and Soy Products

Background: Glycemic index (GI) is a scale that ranks carbohydrates depending on the extent to which they raise the blood glucose levels, compared to a reference food. Methods: Using Green leafy vegetables (G), Millets (M) and Soy products (S), five common foods suitable for diabetics namely GMS Idli, GMS Adai, GMS Noodles, GMS Kitchedi and GMS Rotiwere formulated, organoleptically evaluated, standardized and the nutritive value was estimated by factorial method. The GI and GL (Glycemic Load) of these items were studied using the procedure given by Jennie Brand Miller (2004). Findings: GMS Roti topped the list with respect to overall acceptability. The carbohydrate content of all the formulated foods per serving was 50 g as it was matched so for the study of GI. The protein content of all the specially formulated items varied from 11.4 to 15.7 g per serving and the fat content from 2.6 to 9.2 g per serving. The GMS Noodles registered the lowest GI of 42.13 which was on a par with GMS Adai. GMS Idli, GMS Roti and GMS Kitchedi recorded medium GI and GMS String Hoppers recorded high GI. GL of GMS Noodles was less and GMS String Hoppers had a higher GL when compared to other food items. Conclusion: Inclusion of fibre rich greens and millets and protein rich soy products certainly reduces the GI simultaneously improving the nutritive value.
Track : GRAPPA Event shapes in electron-positron annihilation at NNLO accuracy

In this thesis, we explore the process of electron-positron annihilation into two jets at next-to-next-to-leading (NNLO) accuracy. The process is implemented into an existing framework of the CoLoRFulNNLO method, and as a result various event shape distributions can be computed at NNLO accuracy. After adjusting the cutoff parameter ymin, we obtain agreement on the three-jet event shape predictions as well as the analytic result for the total cross section. Subsequently, the distributions for thrust, heavy jet mass and total and wide jet broadening are resummed and matched with SCET predictions. For the thrust and heavy jet mass, the SCET prediction is available up to NLL accuracy, while for the jet broadening it is available up to NNLL. Using the matched fixed-order and resummed predictions, one can apply a non-perturbative shift to account for hadronization effects and perform a fit on the magnitude of this shift as well as the value of αs(MZ). We find reasonable agreement for the thrust, heavy jet mass and total jet broadening, but observe that the quality of the predictions, in particular in the case of the jet broadening parameter, is not enough for a precision fit on αs. The result for the wide jet broadening does not agree with the rest of the event shapes considered, this might be explained by a lack of understanding of the dependence on the scales present in the SCET prediction.
Point-Contact Spectroscopy of Heavy Fermion Compounds CeCu 6 and CeAl 3 in Magnetic Field

We have carried out point-contact spectroscopy measurements on CeCu6 and CeAl3 to study these heavy fermion states. Temperature and magnetic field dependences of the point-contact spectra were observed in detail. At the lowest temperature of 0.4 K, differential resistance spectra of CeCu6 and CeAl3 as function of bias voltage exhibit each distinct minimum structure and additional small peak structure. Temperature evolutions of these spectra started at temperatures related to the Kondo effect, although the minimum and the peak structure emerged in reverse between both spectra of two compounds. In magnetic fields, both structures monotonically change with no distinct change without a change of curvature of magnetic field dependence of magnitude of differential resistance at zero bias voltage at critical magnetic field of meta-magnetization. This behavior in magnetic field is different from that of CeAl2, which shows antiferromagnetic ordering. This result may suggest that PCS is able to discriminate between heavy fermion state and antiferromagnetic state.
TITLE : Generic Model-Agnostic Convolutional Neural Networks for Single Image Dehazing

Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. In this paper, I propose an end-to-end generative method for single image dehazing problem. It is based on fully convolutional network and effective network structures to recognize haze structure in input images and restore clear, haze-free ones. The proposed method is agnostic in the sense that it does not explore the atmosphere scattering model, it makes use of convolutional networks advantage in feature extraction and transfer instead. Somewhat surprisingly, it achieves superior performance relative to all existing state-of-the-art methods for image dehazing even on SOTS outdoor images, which are synthesized using the atmosphere scattering model. In order to improve its weakness in indoor hazy images and enhance the dehazed image’s visual quality, a lightweight parallel network is put forward. It employs a different convolution strategy that extracts features with larger reception field to generate a complementary image. With the help of a parallel stream, the fusion of the two outputs performs better in PSNR and SSIM than other methods.
Fettsäuren und Acyl-CoA Bindungsprotein-Wirkung auf die Genexpression

Das Auftreten des Metabolischen Syndroms (MSX) ist im Allgemeinen mit einem erhöhten Gesamtmortalitätsrisiko und im Speziellen mit einer erhöhten kardiovaskulären Mortalität assoziiert. Im zentralen Mittelpunkt steht die Insulinresistenz, d.h. die reduzierte Empfindlichkeit peripherer Gewebe gegenüber der Insulinwirkung, welche ursächlich sowohl an der Entwicklung von Diabetes mellitus Typ 2, Bluthochdruck als auch an Fettstoffwechselstörungen beteiligt ist. Die Entwicklung des MSX wird vielfältig beeinflusst. Dabei sind die Ernährung, die körperliche Aktivität als auch die genetische Ausstattung wichtige Faktoren und deren Einfluss daher Gegenstand aktueller Forschung. In diesem Zusammenhang wurde in den letzten Jahren gezeigt, dass die zelluläre Konzentration von aktivierten Fettsäuren, den Acyl-CoAs, die Insulinwirkung auf Fettund Muskelzellen maßgeblich beeinflusst. Vor allem der Aufnahme von langkettigen gesättigten Fettsäuren wird eine wichtige Rolle beigemessen. Ein erhöhter Zustrom dieser an die Zelle führt bei gleichzeitiger intrazellulärer Anhäufung, zur Synthese verschiedener Sekundärmetabolite, wie den Diacylglycerolen und Ceramiden, welche den Insulin-vermittelten Signalweg entscheidend beeinflussen und sogar die Insulinwirkung aufheben können. In der Zelle wird die Verfügbarkeit langkettiger Acyl-CoAs durch das Acyl-CoA Bindungsprotein (ACBP) reguliert was es zu einem bedeutenden Kandidaten des MSX macht. In aktuellen Untersuchungen wurde der Einfluss von Mutationen, den sogenannten single nucleotide polymorphisms (SNP) im ACBP-Gen auf Parameter des MSX untersucht. Dabei zeigte sich in zwei Assoziationsstudien ein vermindertes Risiko zum Diabetes Typ 2, wobei die funktionelle Grundlage noch unklar ist (Fisher et al. 2007).
Symbolic Aggregate Approximation Set Filter Local Maxima & Local Minima Repetition Identification Phase Separation IMU Fusion Filter Compute Compute Form and Performance Analysis

Exercise is shown to affect the physical, psychological, and cognitive aspects of one’s health. Despite the prevalence of fitness trackers for tracking heart-rate, steps, and other wellness metrics, very few tools exist to monitor strength training performance. This paper presents LiftRight which introduces a low-cost approach for quantifying an individual’s performance during strength training sessions. Unique challenges include the lack of useful qualitative or quantitative metrics, and monitoring the complex motion of the exercises. We leverage an arm-mounted inertial sensor for tracking the user’s arm and computing associated kinetics. We choose three upper-body strength training exercises, and segment the workout trace into constituent sets, repetitions, and phases. We also compute performance metrics such as velocity, range of motion, stability angle, and sticking points for eight candidates over a total period of 26 weeks. LiftRight achieves 96% accuracy in identifying sets and repetitions in a workout. In terms of lifting practices and its affects on performance, our quantitative and qualitative observations are found to be consistent with existing literature. We believe that the ability to accurately monitor weight training will lower the entrance barrier and help prevent injuries by helping users and trainers alike.
Venous thromboembolic risk and thromboprophylaxis in acutely ill medical outpatients

Summary 215 German family physicians participated in a prospective registry to assess the venous thromboembolic risk in acutely ill medical outpatients. In 1247 patients who were visited at home due to an acute medical illness, the risk factors were documented using a standardised questionnaire. The doctors subjectively rated the patient’s risk on a scale ranging from 1 to 10 and the result was compared with an objective risk-score which had been previously developed for hospitalized patients and has been successfully used in these patients. The results showed a wide agreement of the subjective risk assessment and the objective score. The resulting consequence of an adequate thromboprophylaxis reflects a high awareness of venous thromboembolic risk among the physicians treating acutely ill medical outpatients.
Semi-Supervised Question Answering: Generative Augmentation in SQuAD2.0

The extractive question-answering task has been extensively investigated over the last years, especially with the advent of PCE methods such as BERT and ELMo. However, many current approaches are heavily dependent on large volumes of hand-labeled training data. Here, we investigate semi-supervised learning for SQuAD2.0 to better understand model dependence on training data, exploring multiple data augmentation methods that ameliorate effects of data restriction. We show that model performance is determined both by the underlying volume of data, as well as its quality.