Miracle-dz/UniFAR-FTUs huggingface dataset:
The mediating role of perceived social support in the relationship between morningness–eveningness and subjective well‐being

Studies show that morningness preference and subjective well‐being are positively related. However, little is known about potential factors that may underpin this association. In the present study, we explored the mediational role of general social support and its facets (family, friends, and significant other) in the relationship between morningness–eveningness and subjective well‐being. The present study was conducted with a sample of 1,067 adults (51% women), with a mean (SD, range) age of 36.41 (9.95, 18–55) years. Our results corroborated earlier findings that morningness was positively associated with both subjective well‐being and social support. Controlling for age and gender, we obtained significant mediation effects, showing that the association between morningness–eveningness and subjective well‐being might stem, at least in part, from the higher levels of social support received by morning‐oriented individuals. This may lead to the conclusion that social support is an important antecedent of the greater well‐being reported by morning‐oriented individuals.
Generation of Gaussian-like electromagnetic pulses

Electromagnetic pulses generated via the use of photodiodes are inevitably a composite of exponential decay transients due to the finite lifetime of the charge carriers and RC relaxation times of the triggering circuit. We have developed a microwave technique in which the limiting factor of the pulse lineshape is governed by the coupling between a slot and microstrip transmission line instead of exponential transients. The coupling involves the overlap of these two lines in which one line launches the pulse and the other receives it. We have measured mostly electromagnetic pulses with Gaussian lineshape in agreement with our calculations. The formulation of the calculation involves a Lagrangian description of the coupling between these two lines. >
An experimental comparison on KEMAR and BHead210 dummy heads for HRTF-based Virtual auditory on Chinese subjects

Head related transfer functions (HRTFs) vary with anatomical structures in head, pinna and torso. As we know, Chinese are highly different from their Western counterparts in anatomical characteristics. In this paper, we perform an experimental study on HRTF-based virtual auditory, in which the HRTF data are collected from two dummy heads: KEMAR and BHead210. KEMAR resembles the head of a worldwide average human and BHead210 replicates the head of an average Chinese. Our preliminary results show significant differences in sound localization performance between the two dummy heads. The localization performance, especially on the frontal plane, of BHead210-collected HRTF is better than KEMAR for Chinese subjects. We believe BHead210 is more suitable for Chinese in HRTF-based virtual auditory applications.
An augmenting‐flow algorithm for a class of node‐capacitated maximum flow problems

We consider a class of maximum flow problems (MFPs) having node‐ and arc‐capacity constraints, in which each unit of flow on arc (i,j) consumes a positive amount of capacity at node i. This problem arises in wireless sensor network optimization applications, where node capacities refer to sensor energy limits. This version of the MFP is traditionally solved using linear programming due to the presence of the complicating node‐capacity constraints. As an alternative scheme, we prescribe an approach for this problem based on augmenting flows along paths and cycles, showing why sending flows on augmenting cycles becomes necessary in this class of problems. Although our augmenting flow algorithm ultimately requires the solution of auxiliary linear programs, we demonstrate the computational advantages of our approach on randomly generated test instances.
Optimal linearity testing of analog-to-digital converters using a linear model

To maintain an acceptable level of quality in the production of analog-to-digital converters (ADCs), the linearity metrics of every ADC has to be measured and checked against performance specification limits. As ADCs continue to improve in resolution, their testing has becoming increasingly demanding in terms of test time. In this paper, we demonstrate a technique for reducing the test time for ADCs. The technique is shown to be significantly better than currently available techniques and can be easily integrated into current production test methodologies. Experimental results in simulation and on actual hardware are shown to demonstrate the technique.
The Target Tracking Algorithm Based on Local Binary Pattern Texture Model

In the target tracking algorithm, the target representation has an important impact on the target tracking performance. The previous target tracking algorithm using color model to represent the target, it can not achieve effective tracking when the target and background are in similar colors. Therefore, an improved target tracking algorithm, embedded the local binary pattern (LBP) texture model successfully, is used for target tracking algorithm. Analysis shows that in complex conditions, texture and color model based target representation have significantly improved tracking performance.
Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007–2015

Hospital length of stay (LOS) is an important clinical and economic outcome and knowing its predictors could lead to better planning of resources needed during hospitalization. This analysis sought to identify structure, patient, and nutrition-related predictors of LOS available at the time of admission in the global nutritionDay dataset and to analyze variations by country for countries with n > 750. Data from 2006–2015 (n = 155,524) was utilized for descriptive and multivariable cause-specific Cox proportional hazards competing-risks analyses of total LOS from admission. Time to event analysis on 90,480 complete cases included: discharged (n = 65,509), transferred (n = 11,553), or in-hospital death (n = 3199). The median LOS was 6 days (25th and 75th percentile: 4–12). There is robust evidence that LOS is predicted by patient characteristics such as age, affected organs, and comorbidities in all three outcomes. Having lost weight in the last three months led to a longer time to discharge (Hazard Ratio (HR) 0.89; 99.9% Confidence Interval (CI) 0.85–0.93), shorter time to transfer (HR 1.40; 99.9% CI 1.24–1.57) or death (HR 2.34; 99.9% CI 1.86–2.94). The impact of having a dietician and screening patients at admission varied by country. Despite country variability in outcomes and LOS, the factors that predict LOS at admission are consistent globally.
FPGAPRO: A Defense Framework Against Crosstalk-Induced Secret Leakage in FPGA

With the emerging cloud-computing development, FPGAs are being integrated with cloud servers for higher performance. Recently, it has been explored to enable multiple users to share the hardware resources of a remote FPGA, i.e., to execute their own applications simultaneously. Although being a promising technique, multi-tenant FPGA unfortunately brings its unique security concerns. It has been demonstrated that the capacitive crosstalk between FPGA long-wires can be a side-channel to extract secret information, giving adversaries the opportunity to implement crosstalk-based side-channel attacks. Moreover, recent work reveals that medium-wires and multiplexers in configurable logic block (CLB) are also vulnerable to crosstalk-based information leakage. In this work, we propose FPGAPRO: a defense framework leveraging Placement, Routing, and Obfuscation to mitigate the secret leakage on FPGA components, including long-wires, medium-wires, and logic elements in CLB. As a user-friendly defense strategy, FPGAPRO focuses on protecting the security-sensitive instances meanwhile considering critical path delay for performance maintenance. As the proof-of-concept, the experimental result demonstrates that FPGAPRO can effectively reduce the crosstalk-caused side-channel leakage by 138 times. Besides, the performance analysis shows that this strategy prevents the maximum frequency from timing violation.
Short-Stalk Isoforms of CADM1 and CADM2 Trigger Neuropathogenic Measles Virus-Mediated Membrane Fusion by Interacting with the Viral Hemagglutinin

Measles, an acute febrile illness with skin rash, is still an important cause of childhood morbidity and mortality worldwide. Measles virus (MeV), the causative agent of measles, may also cause a progressive neurological disorder, subacute sclerosing panencephalitis (SSPE), several years after acute infection. ABSTRACT Measles virus (MeV), an enveloped RNA virus in the family Paramyxoviridae, usually causes acute febrile illness with skin rash but in rare cases persists in the brain, causing a progressive neurological disorder, subacute sclerosing panencephalitis (SSPE). MeV bears two envelope glycoproteins, the hemagglutinin (H) and fusion (F) proteins. The H protein possesses a head domain that initially mediates receptor binding and a stalk domain that subsequently transmits the fusion-triggering signal to the F protein. We recently showed that cell adhesion molecule 1 (CADM1; also known as IGSF4A, Necl-2, and SynCAM1) and CADM2 (also known as IGSF4D, Necl-3, and SynCAM2) are host factors enabling cell-cell membrane fusion mediated by hyperfusogenic F proteins of neuropathogenic MeVs as well as MeV spread between neurons lacking the known receptors. CADM1 and CADM2 interact in cis with the H protein on the same cell membrane, triggering hyperfusogenic F protein-mediated membrane fusion. Multiple isoforms of CADM1 and CADM2 containing various lengths of their stalk regions are generated by alternative splicing. Here, we show that only short-stalk isoforms of CADM1 and CADM2 predominantly expressed in the brain induce hyperfusogenic F protein-mediated membrane fusion. While the known receptors interact in trans with the H protein through its head domain, these isoforms can interact in cis even with the H protein lacking the head domain and trigger membrane fusion, presumably through its stalk domain. Thus, our results unveil a new mechanism of viral fusion triggering by host factors. IMPORTANCE Measles, an acute febrile illness with skin rash, is still an important cause of childhood morbidity and mortality worldwide. Measles virus (MeV), the causative agent of measles, may also cause a progressive neurological disorder, subacute sclerosing panencephalitis (SSPE), several years after acute infection. The disease is fatal, and no effective therapy is available. Recently, we reported that cell adhesion molecule 1 (CADM1) and CADM2 are host factors enabling MeV cell-to-cell spread in neurons. These molecules interact in cis with the MeV attachment protein on the same cell membrane, triggering the fusion protein and causing membrane fusion. CADM1 and CADM2 are known to exist in multiple splice isoforms. In this study, we report that their short-stalk isoforms can induce membrane fusion by interacting in cis with the viral attachment protein independently of its receptor-binding head domain. This finding may have important implications for cis-acting fusion triggering by host factors.
Age, education and the technical ladder

The authors investigate the preferences of some 2500 scientists and engineers for managerial and technical careers in 11 different organizations. Analyses reveal that educational background and age play a significant role in the shaping of individuals' preferences. Two distinctly different success orientations are uncovered. These orientations change very differently for technologists with and without PhDs. Results are reexamined but remain strong for different kinds of technical work. >
Cooperative Interception with Double-Line-of-Sight-Measuring

Estimation and guidance scheme is presented, which enables two missiles tracking single target cooperatively. Each missile is equipped with an infra-red sensor and measures the LOS angle only. The two missiles form a measuring baseline relative to the target in space and share measured information with each other, enabling that each identies the target state based triangulation method. However, the observability of this double line-ofsight measuring relative navigation method is weak if the separation angle between both line-of-sight vectors is small. This paper proposes a guidance law that modulates the lineof-sight angle through a performance index. Using this guidance law, the missile with large initial ling-of-sight angle maximizes this index. Whereas the other one minimizes it. Simulation results show that the proposed estimation and guidance scheme improves the homing accuracy and can yield hit-to-kill performance.
Novel high-efficiency step-up converter

As a result of the equivalent series resistor of the boost inductor, conventional boost converters are not able to provide high voltage gain. A high-efficiency high step-up converter is proposed, with low voltage stress on power switch, power diodes and output capacitors. The circuit topology of the proposed converter consists of an energy clamp circuit and a voltage boost cell. The boost converter functions as an active clamp circuit to suppress the voltage spike on power switch during the turn-off transient period. The boost converter output terminal and flyback converter output terminal are serially connected to increase the output voltage gain with the coupled inductor. By serially connecting the secondary windings of the boost inductor, a high voltage gain is achieved with less voltage stress on the power devices, such as power MOSFET and power diodes. The operational principle and steady-state analysis are described. A 35 W converter with simulation and experimental results is presented to demonstrate the performance. It shows that the efficiency of the proposed converter is very high (nearly 93%) with four times the voltage output.
Exploring Undergraduate Students’ Conceptualizations of Social Justice Action

This critical constructivist descriptive case study examined how 12 students in a diversity dialogue course conceptualized action in response to oppression. Participants often defined action as individual-level intervention and rarely discussed systemic change. Although they increased their knowledge during the course, participants hesitated to take action fearing they did not know enough, would be physically harmed, or lacked the ability to make sustained change. Recommendations are provided to expand students’ conceptions of social justice action.
Highly Accurate Design of Spiral Inductors for MMIC's with Small Size and High Cut-Off Frequency Characteristics

High precision experimental and theoretical procedures are presented for obtaining very compact inductors (diameter 80 to 200 µm) with values up to 5 nH and cut-off frequencies ranging from 20 to 100 GHz for L < 2 nH. The maximum phase and amplitude measurement error is of the order to +- 2 degrees and 1% respectively with typical measurement reproducibility of 0.1%. A new lumped element theory is presented predicting the electrical characteristics of spiral inductors with a maximum error of only 5%.
Investigation and Analysis of the Shenyang local O2O business model

O2O e-commerce model is a promising young e-commerce model derived from the traditional e- commerce model, it especially solves the store sales problem in service industry and commodity backlog problem of traditional business. After the rise of e- commerce in China, e-commerce got wide response of merchants in every field. In order to provide consumers with better services, e-commerce trading patterns are changing: "Electronic Market + Logistics Distribution" → "Electronic Market + To Store Consumption", the intersection of online and offline are becoming reality by mobile and local experiences, so consumers can have both the convenience and benefit of online ordering and perfect experience of offline consumption. Today O2O business model has become the new favorite of the group buying and service, a variety of promotional means have also applied the O2O, O2O is playing an increasingly large role in network marketing.
Face Mask Detection using Deep Learning to Manage Pandemic Guidelines

The field of Computer Vision is a branch of science of the computers and systems of software in which one can visualize and as well as comprehend the images and scenes given in the input. This field is consisting of numerous aspects for example image recognition, the detection of objects, generation of images, image super resolution and more others. Object detection is broadly utilized for the detection of faces, the detection of vehicles, counting of pedestrians on a certain street, images displayed on the web, security systems and cars with the feature of self-driving. This process also encompasses the precision of every technique for recognizing the objects. The detection of objects is a crucial task; however, it is also a very challenging vision task. It is an analytical subdivide of various applications such as searching of images, image auto-annotation or scene understanding and tracking of various objects. The tracking of objects in motion of video image sequence was one of the most important subjects in computer vision.
Anfis models for the quasistatic analysis of coplanar strip line structures

In this work, computer‐aided design models based on adaptive‐network‐based fuzzy inference system (ANFIS) for the quasistatic analysis of three different coplanar strip line structures are presented. These strip line structures are conventional coplanar strip lines, asymmetrical coplanar strip lines with infinitely wide strip, and asymmetrical coplanar strip lines with infinitely thick dielectric substrate. The design parameters of the proposed ANFIS models are optimally determined by using four different optimization algorithms, hybrid learning, simulated annealing, least‐squares, and genetic algorithm. When the performances of ANFIS models are compared with each other, the best results for training and test are obtained from the models trained with hybrid learning algorithm. There is a good agreement among the results of ANFIS models, quasistatic analysis, a full‐wave electromagnetic simulator IE3D, and experimental works realized in this study. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1990–1996, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25372
Specifying ASICs for complex mechatronic systems

Today many industrial products are combinations of electronics, software and mechanics. The design project of such a product is difficult to manage, because the people needed to specify and design the product come from different backgrounds and they are familiar with different design methods and tools. The problems of the design of the interdisciplinary system and the methods and tools for specifying and verifying such systems are studied in this paper. <<ETX>>
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Tales of scales: how to enable backup process tool qualification for high-end photomasks

Strict reticle critical dimension (CD) control is needed to supply ≤ 20nm wafer technology nodes. In front end lithographic processes for example, precise temperature control in resist baking steps is considered paramount to limiting reticle CD error sources. Additionally, current density during writing and focus are continuously tracked in 50kV e-beam pattern generators (PG) in order to provide stable CD performance. Despite these strict controls (and many others), feedback compensation strategies are increasingly utilized in mask manufacturing to reach < 2nm 3σ CD uniformity (CDU). Such compensations require stable reticle CD signatures which can be problematic when alternate or backup process tools are employed. The AMTC has applied principle component analysis (PCA) to resist CD measurements of 50kV test reticles fabricated with chemically amplified resists (CAR) in order to quantify the resist CDU capabilities of front and backup lithographic process tools. PCA results elucidate significant resist CDU differences between similar lithographic process tools that are considered well matched via CDU 3σ comparisons. The utility of PCA relies on the statistical analysis of large data sets however, reticle CD sampling is typically sparse, on the 10-2 m or centimeter (cm) scale using conventional scanning electron microscopes (CD SEM). Higher CD spatial resolutions can be achieved using advanced inspection tools, which provide CD data on a substantially smaller length scale (10-4 m), thus yielding a considerably larger CD snapshot for front/backup process tool comparisons. Combining PCA analysis with high spatial resolution CD data provides novel insights into the opportunities for tool and process CD capabilities.