Miracle-dz/UniFAR-FTUs huggingface dataset:
Zero-Dimensional Branches of Rank One on Algebraic Varieties

In his fundamental investigations on the resolution of singularities of algebraic surfaces2 0. Zariski discusses the various types of valuations on algebraic function fields of two variables. Of particular interest are branches of algebraic surfaces which can be described by zero-dimensional valuations of rank one. An interesting preliminary to the uniformization of these branches is the enumeration of the possible value groups which may occur for the corresponding valuations. We here provide a survey of all possible value groups for such valuations on n-dimensional algebraic varieties. From the viewpoint of geometry it is not surprising that our results indicate that the branches can be essentially more complicated for n dimensions than they are for 2-dimensional varieties. In the latter case Zariski showed that the value group r of a branch is either a subgroup of the additive group of all rational numbers or can be represented as the direct sum of two infinite cyclic groups. In any event this value group must be completely reducible, in the sense that it can be represented as the sum of groups of (rational) rank' 1. For varieties of dimension 3 or more, we find possible value groups which are not completely reducible in this sense.
Allgemeinmedizin in einer Universitätsklinik — Ergebnisse eines Pilotprojekts

Die Hausarztpraxis ist in Deutschland das reguläre Setting der klinischen Allgemeinmedizin. Es gibt wenige Versuche, Krankenversorgung in Verbindung mit einem Institut für Allgemeinmedizin (IfA) an einer Uniklinik zu etablieren. Am Universitätsklinikum Hamburg-Eppendorf (UKE) wurde von Oktober bis Dezember 2012 die Allgemeinmedizin in den Betrieb des UKE integriert und quantitativ sowie qualitativ evaluiert. Die klinische Aktivität des IfA umfasst die Zentrale Notaufnahme (ZNA) sowie den Fachbereich Allgemeinmedizin im Ambulanzzentrum (MVZ) des UKE. Analysiert wurden anhand von Routinedaten der ZNA am UKE Wartezeiten, Inanspruchnahme von Laborleistungen, Bildgebung und Konsile sowie Kosten der von Oktober bis Dezember 2012 allgemeinmedizinisch behandelten Patienten (N = 263) im Vergleich zu einer ZNA-Stichprobe aus dem Oktober 2011 (N = 1684 Fälle), als noch keine Allgemeinmediziner vor Ort waren. Die Patientenzufriedenheit wurde durch eine Fragebogenerhebung (Prä-Post) an zwei unverbundenen konsekutiven Vergleichsstichproben untersucht. Insgesamt wurden durch die Allgemeinmedizin 263 Patienten (162 Frauen, 101 Männer) behandelt. Die Wartezeiten betrugen im Median 48 Minuten bis zum ersten Arztkontakt durch die Allgemeinmedizin. Es wurde bei weniger als einem Viertel der allgemeinmedizinisch behandelten ZNA-Fälle Labor (20 %), Konsile (18 %) oder Röntgen (2 %) in Anspruch genommen, 17 Fälle (6 %) mussten stationär aufgenommen werden. Die durchschnittlichen Kosten der allgemeinmedizinischen Fälle in der ZNA lagen im Pilotzeitraum insgesamt mit 16,76 Euro (Konfidenzintervall (KI) 13,40–19,62 Euro) deutlich unter denen der Vergleichsgruppe der ZNA im Oktober 2011 (52,21 Euro; KI 49,16–55,26 Euro; p < 0,0001). Die in der Vergleichsgruppe schon gute Patientenzufriedenheit konnte durch die Allgemeinmedizin signifikant verbessert werden. Ein in die Kernklinik integriertes Institut für Allgemeinmedizin mit Anbindung einer allgemeinmedizinischen Ambulanz könnte modellhaft für eine Etablierung der Allgemeinmedizin im Krankenhaus sein.
A higher categorical analogue of topological T-duality for sphere bundles

We introduce a periodic form of the iterated algebraic K-theory of ku, the (connective) complex K-theory spectrum, as well as a natural twisting of this cohomology theory by higher gerbes. Furthermore, we prove a form of topological T-duality for sphere bundles oriented with respect to this theory.
Controllability and stabilizability properties of a nonholonomic control system

Controllability and stabilizability properties are examined for a control system with a nonholonomic constraint. A representative nonholonomic control system example is discussed: the control of a knife edge moving on a plane surface. This example contains the essential features of the general case. It is noted that conditions for small-time local controllability are satisfied. An explicit open loop control is then given which transfers the knife edge to a single equilibrium and an explicit stabilizing feedback control. <<ETX>>
Error Diluted Approximate Multipliers Using Positive And Negative Compressors

Introducing approximation has shown significant benefits in the performance and throughput, besides lowering on-chip power consumption and silicon footprint requirement. Approximation in digital computing was designed and targeted towards error-resilient applications primarily involving image or signal processing modules. Previous works focus on approximating various arithmetic operator designs, including dividers, multipliers, adders, subtractors and multiply-and-accumulate units. Approximating compressor designs for multipliers was found to improve performance, power and area effectively. In addition, they offer regularity in cascading the partial product bits. Conventional multiplier designs employ compressors of the same kind throughout the partial product reduction stages, leading to the accumulation of errors. This paper proposes to utilize two different types of compressors: positive and negative compressors, subsequently in partial product reduction stages, with the intention to reduce the accumulated error. The proposed multiplier designs with appropriately placed positive and negative compressors along the stages and columns of the Partial Product Matrix (PPM) are investigated and characterized for hardware and error metrics. These designs were further evaluated for Image smoothing and Convolutional Neural Network (CNN) applications. The CNN built for four datasets using proposed approximate multipliers demonstrated comparable accuracy to that of exact multiplier-based CNN in the Lenet-5 architecture.
Hardware Performance Counter Enhanced Watchdog for Embedded Software Security

This paper proposes a novel use of long-short term memory autoencoders coupled with a hardware watchdog timer to the enhance robustness and security of embedded software. With more and more embedded systems being rapidly deployed due to the Internet of Things boom security for embedded systems is becoming a crucial factor. The proposed technique in this paper aims to create a mechanism that can be trained in an unsupervised fashion and detect anomalous execution of embedded software. This is done through the use of long-short term memory autoencoders and a hardware watchdog timer. The proposed technique is evaluated in two scenarios: the first is for detecting generic arbitrary code execution. It can accomplish this with an average accuracy of 91%. The second scenario detecting when there is a malfunction and the program starts executing instructions randomly. It can detect this with an average of accuracy of 88%.
Current Mode Control of a laboratory fabricated SiC-based High Frequency Interleaved Synchronous Buck Converter

This paper presents the detailed analytical modelling, hardware implementation and experimental results for a current mode controlled Silicon Carbide (SiC) based two phase interleaved synchronous buck converter (ISBC) using coupled inductors. A detailed state space model for all the operating modes has been derived for a small signal modelling of the same. The resemblance in the modelling and the transfer function with that of a conventional buck converter is brought out. A conventional constant current closed loop control involving a PI-controller is successfully implemented in the experimental set-up using a digital controller. The closed loop operation of the converter has been tested for a maximum rating of 80 W at a constant current of 3 A, while switching at 100 kHz. The improvement in closed loop performance for the interleaved converter compared to a conventional buck converter is highlighted.
Ethical Leadership and Turnover Intentions: A systematic literature review

"Employee turnover intention" is linked to significant direct and indirect costs for the organization. Despite the increased interest in ethics-related topics, research has not comprehensively studied turnover intention from an ethical perspective. The purpose of this paper is to outline research conducted on the impact of ethical leadership on employee intention to leave the organization. By conducting a systematic literature review, 36 articles which study the relationship between ethical leadership and turnover intention were selected and analyzed. Findings mostly confirm the negative indirect relationship between ethical leadership and turnover intentions. Data are presented based on the coverage of the articles, the methods used, the geographical scope and the unit of analysis. The study focuses on commonly found mediators (such as ethical climate, organizational commitment, supervisor trust, job satisfaction, work meaningfulness, job-related stress) and moderators (such as stress, core self-evaluation, perceived organizational support, culture), and any potential negative impacts of ethical leadership on work outcomes. Future research suggestions are also listed. Changes brought about by COVID-19 have rendered an honest, fair and transparent leader more necessary than ever. The review extends our understanding of how ethical leadership influences turnover intentions and provides insight into potential future challenges which need to be addressed more thoroughly. The distinct contribution of this paper lies in the examination of the role of the ethical leadership style in mitigating negative employee outcomes.
Stability and receptivity of high speed boundary layers in oxygen

The stability and receptivity of high speed boundary layers in binary mixtures of oxygen are investigated including chemical non-equilibrium effects. The analysis is conducted for two-dimensional perturbations for both an inviscid and a viscous model and the results are compared to examine the impact of viscous effects. It is found that the viscosity effects stabilize the flow, and the main impact on temperature and mass fraction perturbations occurs in the viscous sublayer and in the critical layer. The biorthogonal eigenfunction system is used to study the receptivity of the boundary layers including real gas effects. The results demonstrate that the receptivity coefficients have two maxima associated with the branching points in the discrete spectrum. The maxima become stronger when the wall temperature is low.
PQTBA: Priority Queue based Token Bucket Algorithm for congestion control in IoT network

The Internet of Things connects millions of devices in the areas of smart cities, e-health, transportation, and the military to fulfill a variety of human needs. To offer these services, a large amount of data must be transmitted to the IoT network servers. But the node processing power, buffer size, and server capacity limitations on IoT networks have a negative influence on throughput, latency, and energy consumption. Additionally, the IoT network’s performance is decreased by congestion caused by the high network traffic that results from the high volume of data. In order to handle congestion challenges in IoT networks, unique congestion control strategies—such as the queue management strategy—must be created. In this study, a novel Priority Queue-based Token Bucket Algorithm (PQTBA) is suggested as a means of controlling congestion in IoT networks. The PQTBA uses a preemptive/non-preemptive technique with a discretionary rule to categorize network traffic into priority groups in accordance with real-time requirements. Our proposed work performs con-siderably better than the most recent techniques in terms of throughput, packet loss ratio, and energy consumption.
Emotion Recognition via Environmental Context and Human Body

To promote the humanized interactive experience of the intelligent device and system, emotional intelligence has become a popular research field in the human-machine interaction. The previous research on emotion recognition based on computer vision has mostly been carried out by analysing facial expression or body posture, and psychological studies show that scene context also contributes some important information on emotion recognition. In addition, most context-aware emotion recognition studies focus on exploring the relevance analysis of environmental semantics, but the influence of feature encoder on semantic information embedding has not been fully discussed. In this paper, we proposed a Global Semantic Feature Enhancement-Dual Stream Densely Connected Network (GSFE-DSDCN) to enhance global semantic information learning from the perspectives of dimension and spatial. Densely connected pattern is introduced to concatenate the shallow and deep layers output, which fuses the semantic information of low-dimensional geometric features and high-dimensional abstract context features together. The Global Multi-Scale Feature Recalibration (GMSFR) module expands the receptive field in spatial, which effectively improves the global semantic features extraction capability of feature encoder. We evaluate the proposed method on the EMOTIC data set, and experimental results are shown to be competitive with the state-of-the-art algorithms.
3D flow measurements in regular breaking waves past a fixed submerged bar on an impermeable plane slope

The velocity fields induced by regular breaking waves past a fixed bar on a 1 : 10 rigid plane slope were measured and analysed using a volumetric particle-tracking velocimetry system. Under specific conditions, the interaction between waves and morphological features steepens the waves, which eventually break. The geometry of the boundaries of the present experiments is common in natural environments, where reefs, sand and gravel bars, and submerged coastal structures, interact with the incoming wave field, ‘affecting’ the transport budget of substances (sediment, nutrients and pollutants), with relevant consequences on the water quality. The aims of the present work are the analysis of the flow field in the breaker, and the quantification of the terms in the equations usually adopted for modelling the flow and the turbulence. Two sets of attacking monochromatic wave trains with different periods and heights were used to generate a data set of instantaneous velocity, which was further analysed to extract turbulence. The measurement volume extended from the wave crest to a portion of the domain below the wave trough. The balance of linear momentum for the average field and the balance of turbulence were scrutinized, and included all the terms in a three-dimensional (3D) approach. The analysed data and results are original and novel because they include all the contributions derived from the 3D structure of a real flow field, and constitute a huge data set for the calibration of numerical codes.
Switching between purification and contamination regimes governed by the ionic purity of nanoparticles dispersed in liquid crystals

This paper reports non-trivial effects of the ionic purity of nanoparticles on the concentration of ions in liquid crystals. Nanoparticles dispersed in liquid crystals can affect the concentration of mobile ions in different ways. 100% pure nanoparticles can only decrease the concentration of ions by means of adsorption/desorption processes. Liquid crystals doped with contaminated nanoparticles exhibit three regimes, namely, the purification, contamination, and no change in the concentration of ions. Switching between these regimes is governed by three dominant factors: the purity of liquid crystals, the purity of nanoparticles, and the ratio of the adsorption rate to the desorption rate.
Majorations Effectives Pour L’ Équation de Fermat Généralisée

RESUME. Soient A, B et C trois entiers non nuls premiers entre eux deux a deux, et p un nombre premier. Comme consequence des travaux de A. Wiles et F. Diamond sur la conjecture de Taniyama-Weil, on explicite une constante f (A, B, C) telle que, sous certaines conditions portant sur A, B et C, l’equation Axp + Byp + Czp ≥ 0 n’a aucune solution non triviale dans Z, si p est U f (A, B, C). On demontre par ailleurs, sans condition supplementaire portant sur A, B et C, que cette equation n’a aucune solution non triviale dans Z, si p divise xyz, et si p est U f (A, B, C).
Tunnel FET based Standard Logic Cell Implementation: A Circuit Perspective

Tunnel FETs can be endorsed as a potential successor of bulk Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) technology owing to Complementary-Metal-Oxide-Semiconductor (CMOS) compatible fabrication and improved OFF current characteristics. They may be the best fit for next generation sensing and low power computing applications which involve mostly random sparse triggering events. This paper provides a compact overview of the circuit design prospects of Tunnel FETs. Several techniques to overcome the basic logic cell implementation challenges have been discussed. These include an all n-type Tunnel FET (TFET) logic and a novel hybrid logic design style. An analysis showing the impact of these techniques on the performance and reliability of the fundamental logic blocks like inverter and NAND gates has also been presented.
Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence

We examine the nature of stated subjective probabilities in a complex, evolving context in which true event probabilities are not within subjects' explicit information set. Speci cally, we collect information on subjective expectations in a car race wherein participants must bet on a particular car but cannot influence the odds of winning once the race begins. In our setup, the actual probability of the good outcome (a win) can be determined based on computer simulations from any point in the process. We compare this actual probability to the subjective probability participants provide at three di erent points in each of 6 races. We fi nd that the S-shaped curve relating subjective to actual probabilities found in prior research when participants have direct access to actual probabilities also emerges in our much more complex situation, and that there is only a limited degree of learning through repeated play. We show that the model in the S-shaped function family that provides the best fi t to our data is Prelec's (1998) conditional invariant model.
A Complete Frequency Response Service Scheme using PV-Supercapacitor Cascade Topology

Frequency response services have become more important than ever in an increasingly inertia-less power system. A promising way to provide such services in a photovoltaic (PV) system is by hybridizing with supercapacitors (SC) due to their high power density, long operating cycles and fast response. The challenge, however, with a PV/SC system is what topology can effectively integrate such devices with so low and variable voltage, as well as how to control them for optimal utilization of their very limited capacity. This paper builds upon a previously introduced PV/SC cascade topology and proposes a complete control scheme for frequency services. A power segregation mechanism infers how the power demand is shared between SC and PV array, accounting for the operational boundaries of the former and occasionally deciding short-term curtailments for the latter. The proposed scheme involves also a voltage recovery function to slowly get the SC voltage back to the steady-state value after a disturbance, the latter being calculated via a newly introduced methodology. MATLAB/Simulink simulations validate the control efficacy under a series of frequency disturbances.
On the (𝐶, α)-Means of Quadratic Partial Sums of Double Walsh–Kaczmarz–Fourier Series

Abstract The main aim of this paper is to prove that the (𝐶, α)-means of quadratic partial sums of double Walsh–Kaczmarz–Fourier series are of weak type (1, 1) and of type (𝑝, 𝑝) for all 1 < 𝑝 ≤ ∞ (0 < α < 1). Moreover, these (𝐶, α)-means converge to 𝑓 almost everywhere for any integrable function 𝑓.
Design of a Low-power 4th order Composite Folded Flipped Source Follower Filter for Biological Applications

The implementation of the biological healthcare system can greatly benefit from the use of a low-pass filter (LPF) architecture, which is considered to be a highly important architecture. This article, presents a composite folded flipped source follower (FFSF) LPF architecture designed for biomedical signals. The proposed LPF works in the sub-threshold region to attain low-noise and low-power operation. The composite FFSF filter design has been simulated in 0.18 µm complementary metal-oxide semiconductor (CMOS) technology. The proposed architecture delivers -4.2 dB of gain, 100 Hz of bandwidth, 0.79 nW of power, 51 µVrms of input-referred noise and figure of merit of 1.95×10-14 J. The proposed LPF architecture can be used to attain excellent power efficiency in upcoming low-voltage biomedical healthcare systems.
Implementation of Beam Selection Algorithm In Millimeter Wave MIMO Systems

Beam selection is an important topic in modern wireless communication systems. In a millimeter wave system, a traditional beam selection idea is used to decrease the sum of required Radio Frequency chains. Taking into consideration the downlink multi-operator Multiple Input Multiple Output (MIMO) systems at the access point, which operate at millimeter frequencies (30 GHz-300 GHz) and are prepared with a high sum of antenna components. Beam space MIMO beam selection is an appealing technique for lowering the count of radio frequency (RF) chains necessary in such structures in order to minimize energy consumption while providing higher data rates and improved signal coverage. The proposed algorithm is an exploratory acquisitive algorithm that works under less computational intricacy with restrained performance. By simulating beam selection as extreme weight matching on a bipartite graph, and also beam selection founded on the Kuhn-Munkres algorithm, give rise to a novel recognized framework. These two proposed algorithms provide a resourceful manner of selecting beams, principally in sparse systems with low power consumption.
Towards the Era of Intelligence: How does Artificial Intelligence (AI) Enable China’s Export Competitiveness?

Based on Tianyancha’s data and the provincial macro data in China’s statistical yearbook from 2005 to 2017, we investigate the impact of Artificial intelligence (AI) on export competitiveness by using the two-way fixed effect model and SYS-GMM intermediary test method. From the perspectives of labor cost and R & D innovation, the potential mechanism of AI on export competitiveness is also captured. Furthermore, contrary to the inland and western areas, the effects of AI on export competitiveness are found more obvious in the coastal, central and eastern areas. Our research has important guiding significance for the intelligent transformation of China’s industry and improving the quality of export products.