Miracle-dz/UniFAR-FTUs huggingface dataset:
Reaching For The Stars: 20 Years Of Success In Advising Potential Latino Engineering Students

Introduction Access to higher education has long been considered one of the cornerstones upon which true racial and social equality must be built upon (Morrison, 1995.) Unfortunately, even after most significant social and legal barriers have been torn down, college enrollment among the two largest minority groups still lags behind that of the majority population. As shown in Figure 1, in recent years the College enrollment of African American and Latino students has grown at a faster rate of that of Caucasian students, but much remains to be done. 15.0
Bibliometric and Visualized Analysis of User Experience Design Research: From 1999 to 2019

With increasing research attention to user experience (UX), UX design (UXD) has gained concomitant interest. This study systematically reviews UXD research using a bibliometrical knowledge map. We collected and reviewed 14,825 documents to analyze UXD research from five perspectives: keyword trends, reference co-citation, author co-citation, categories, and author institutes. (a) UXD, as a research term, broadens the boundaries of experience and design and brings them together. (b) Publications in UXD focus on user, business, and technology orientation. (c) Author co-citation analysis reveals “invisible college networks” among UXD scholars. (d) Computer Science and Engineering are the most significant majors in UXD, although interdisciplinary research is common. (e) Research from the United States dominates. This review recognizes research gaps and future trends for conceptualizing and assessing UXD skills. The findings can benefit researchers, curriculum designers, and instructors.
What are the characteristics of good Chinese second language readers?  Evidence from eye movements

This study investigated the characteristics of good Chinese second language readers by observing their eye-movement patterns in reading articles manipulated to highlight different linguistic features. Participants’ linguistic resources were included as covariant variables. Results showed that good readers should be defined as both accurate and fast readers, although the two traits did not correlate with each other. Accurate reading was predicted by good orthographic knowledge, while fast reading was predicted by good lexical knowledge. Longer sentences did not show a significant impact on readers’ performance, which might imply that higher-level processes did not contribute as much as lower- level processes to the construction of good reading capabilities. All results were validated, while text readability was checked across different reading materials. Both reading universals and writing system specific features were found to be effective in explaining Chinese as a second language (CSL) reading processes. The research findings also informed the instruction of CSL reading, as Chinese is a very challenging logographic text.
Feline Hypertrophic Cardiomyopathy (FHCM)

Abstract The feline hypertrophic cardiomyopathy (HCM) is one of many cardiac diseases known in domestic animals, and it is especially frequent in cats of all ages. HCM is the most common heart disease in cats, affecting almost 15 % of the feline population. The Maine Coon and the Ragdoll breeds of domestic cats are shown to have a special gene that is responsible for the appearance of HCM in these breeds. Hypertrophic cardiomyopathy can be detected by: echocardiography, electrocardiography (ECG), radiography, genetic testing, and a test including N- terminal prohormone of brain natriuretic peptide (NT-proBNP). The most frequently used method used for clinical purposes is echocardiography. Patients with HCM will most of the time not have any clinical signs of the disease, which makes it difficult for the owner to detect that there is something wrong with their cat. Some cats, on the other hand, will get heart arrhythmias which can cause sudden death. There are several prognosis-worsening findings that may occur due to the hypertrophy of the ventricles. These include: Feline Arterial Thromboembolism (FATE), Congestive Heart Failure (CHF), and the Dynamic Obstruction of the Left Ventricular Outflow Tract (DOLVOT). The prognosis for HCM depends on the stage of the disease. In some cats, they are well-tolerated and are associated with normal life expectancy, but in other cats they can result in congestive heart failure, arterial thromboembolism or sudden death.
Damage Detection Sensitivity of a Vehicle-based Bridge Health Monitoring System

As one solution to the problem for condition assessment of existing short and medium span (10-30m) reinforced/prestressed concrete bridges, a new monitoring method using a public bus as part of a public transit system (called “Bus monitoring system”) was proposed, along with safety indices, namely, “characteristic deflection”, which is relatively free from the influence of dynamic disturbances due to such factors as the roughness of the road surface, and a structural anomaly parameter. In this study, to evaluate the practicality of the newly developed bus monitoring system, it has been field-tested over a period of about four years by using an in-service fixed-route bus operating on a bus route in the city of Ube, Yamaguchi Prefecture, Japan. In here, although there are some useful monitoring methods for short and medium span bridges based on the qualitative or quantitative information, the sensitivity of damage detection was newly discussed for safety assessment based on long term health monitoring data. The verification results thus obtained are also described in this paper, and also evaluates the sensitivity of the “characteristic deflection”, which is a bridge (health) condition indicator used by the bus monitoring system, in damage detection. Sensitivity of “characteristic deflection” is verified by introducing artificial damage into a bridge that has ended its service life and is awaiting removal. Furthermore, the sensitivity of “characteristic deflection” is verified by 3D FEM analysis.
A high-throughput 384-well CometChip platform reveals a role for 3-methyladenine in the cellular response to etoposide-induced DNA damage

The Comet or single-cell gel electrophoresis assay is the gold standard for analysis of cellular, nuclear genome damage. However, low throughput limits its application for large-scale studies. To overcome these limitations, a 96-well CometChip platform was recently developed that increases throughput and reduces variation due to simultaneous processing and automated analysis of 96 samples. To advance throughput further, we developed a 384-well CometChip platform that allows analysis of ∼100 cells per well. The 384-well CometChip extends the capacity by 4-fold as compared to the 96-well system, enhancing application for larger DNA damage analysis studies. The overall sensitivity of the 384-well CometChip is consistent with that of the 96-well system, sensitive to genotoxin exposure and to loss of DNA repair capacity. We then applied the 384-well platform to screen a library of protein kinase inhibitors to probe each as enhancers of etoposide induced DNA damage and found that 3-methyladenine significantly increased levels of etoposide-induced DNA damage. Our results suggest that a 384-well CometChip is useful for large-scale DNA damage analyses, which may have increased potential in the evaluation of chemotherapy efficacy, compound library screens, population-based analyses of genome damage and evaluating the impact of environmental genotoxins on genome integrity.
Obligate sexual reproduction of a homothallic fungus closely related to the Cryptococcus pathogenic species complex

Sexual reproduction is a ubiquitous and ancient trait of eukaryotic life. While sexual organisms are usually faced with the challenge of finding a compatible mating partner, species as diverse as animals, plants, and fungi have repeatedly evolved the ability to reproduce sexually without an obligate requirement for another individual. Here, we uncovered the underlying mechanism of self-compatibility (homothallism) in Cryptococcus depauperatus, a fungal species sister to the clinically relevant human fungal pathogens Cryptococcus neoformans and Cryptococcus gattii species complexes. In contrast to C. neoformans or C. gattii, which grow as a yeast in the asexual stage, and produce hyphae, basidia, and infectious spores during the sexual stage, C. depauperatus grows exclusively as hyphae decorated with basidia and abundant spores and appears to be continuously engaged in sexual reproduction. By combining the insights from comparative genomics and genetic analyses of mutants defective in key mating and meiosis genes, we demonstrate the sexual cycle of C. depauperatus involves meiosis, and reveal that self-compatibility is orchestrated by the expression, in the same cell, of an unlinked mating receptor (Ste3a) and pheromone ligand (MFα) pair seemingly derived from opposite mating types of a heterothallic (self-sterile) ancestor. We identified a putative mating-type (MAT) determining region containing genes phylogenetically aligned with MATa alleles of other species, and a few MATα gene alleles scattered and unlinked throughout the genome, but no homologs of the mating-type homeodomain genes SXI1 (HD1) and SXI2 (HD2). Comparative genomic analyses suggested a dramatic remodeling of the MAT locus possibly owing to reduced selective constraints to maintain mating-type genes in tight linkage, associated with a transition to self-fertility. Our findings support C. depauperatus as an obligately sexual, homothallic fungal species and provide additional insight into the repeated transitions between modes of sexual reproduction that have occurred throughout the fungal kingdom.
Orphan nuclear receptors promote alternative lengthening of telomeres (ALT) through ALT-associated PML bodies

Alternative lengthening of telomeres (ALT) is a telomerase-independent telomere maintenance mechanism utilized by about 15% of cancers. Orphan nuclear receptors (NRs), such as COUP-TF1, COUP-TF2, EAR2, TR2, and TR4, associate with telomeres of ALT cells by binding to variant telomeric repeats. However, how these orphan NRs function in the ALT pathway remains to be characterized. Here, we have established an ALT-inducing cell model by tethering orphan NRs to telomeres in non-ALT BJ fibroblast cells. We demonstrate that recruitment of orphan NRs to telomeres is sufficient to initiate formation of ALT-associated promyelocytic leukemia nuclear bodies (APBs) and telomeric DNA synthesis at APBs. We found that the ability of orphan NRs to initiate APB formation and recombination is dependent on the orphan NR AF2 domain, the zinc-finger protein ZNF827, and PML protein. Depletion of orphan NRs in ALT cell lines reduced APB formation and telomeric DNA synthesis, confirming the role of orphan NRs in ALT cells. Furthermore, we found that ATRX/DAXX depletion, together with the telomeric localization of orphan NRs, induces APB formation, telomere clustering, and telomeric DNA synthesis more dramatically in non-ALT cells. Accordingly, we propose that these events in ALT, orphan NR recruitment to telomeres and ATRX/DAXX loss, operate in concert to activate the ALT pathway.
Experimental Validation of Superresolution Delay Estimation Algorithm using a 26 GHz Radar Setup

Estimating the delay of signals is an important aspect in radar systems. Simple methods relying on cross-correlation (CCR) only have limited estimation accuracy by the inverse of the probing signal bandwidth. In this paper, we experimentally validate a superresolution path delay estimation (SPDE) method, which provides better accuracy than the CCR-based methods. For this purpose, we employ a radar setup using two collocated 26 GHz radio front-ends for transmission and reception. In a particular scenario, we consider a channel with two rays corresponding to cross talk and a target of interest. We show that the estimated delays using SPDE match the target distance with high accuracy using narrower bandwidth where CCR fails. Since the employed front-ends is primarily developed for communication, our setup is a showcase of reusing the hardware for joint radio communications and sensing (JCAS).
Lung nodule detection method based on improved YOLOv4

Aiming at the disadvantages of low accuracy and slow speed in current lung nodule detection methods, this paper proposes a lightweight lung nodule detection algorithm based on improved YOLOv4. The first is data preprocessing, such as resampling of the open-source data set LUNA16, lung parenchymal segmentation, etc. Then, based on the YOLOv4 network model, replace the original backbone feature extraction network CSPDarknet53 network with the Mobilenet-v3 network to speed up the detection of lung nodules. Use deep separable convolution block to replace the $3\times 3$ ordinary convolution in the enhanced feature extraction network structure, which greatly reduces the number of model training parameters. The K-means++ clustering method is used to replace the original K-means clustering method to perform cluster analysis on the data set, and 9 anchor boxes of different sizes suitable for lung nodule detection are obtained again. Finally, the improved YOLOv4 detection algorithm is used to detect lung nodules. The experimental results on the LUNA16 data set prove that the improved network model mAP value can reach 96.71%, and the detection speed can reach 41.99FPS. Compared with other network models, the experimental results prove that the improved network has better and faster detection results and is feasible.
Sensor Based Smart Agriculture with IoT Technologies: A Review

The IoT is a new technology trend used in almost every area thing, when connected to the internet and to each other, when you connect to the internet or interconnect, your entire system will be smarter. We have used IoT in all areas of our lives, including smart cities, smart homes, and smart retail. Much more. From 9.6 billion by 2050, agriculture needs to deliver even faster to meet this type of demand. This is possible with the latest technology, especially the IoT. The IoT enables labour free farms. Not only can it be used for large-scale agriculture, but it can also be used for livestock, greenhouse management, and agricultural land management. The most significant tool for the IoT is the sensor. A sensor is a device that collects important data that is interpreted to obtain the required analysis. The important objective of sensors are used to determine the soil's physical qualities and the environment. The main applications of sensors are control and supervise, safety, alarm, diagnostics, and analytics. Sensors make innovative agriculture more effective and trouble-free. In agriculture, the sensor is mainly used for measuring, measuring NPK (Nitrogen, Phosphorus, Potassium) levels, and detecting disease and soil moisture content. The main solution to this problem is smart farming, which modernizes traditional farming practices. This paper narrates the role of IoT application in smart agriculture. Smart farming is also known as precision farming hence it uses accurate information to draw outcomes. It demonstrates the different sensors, applications, challenges, strengths and weaknesses that support the IoT and agriculture.
Design and Study of an Antenna System for Receiving Telemetry Information from Spacecraft Cubesat

The last few years can be called a period of rapid heyday in the development, manufacture and launch into space of nanosatellites, the number of which in near-earth orbits is estimated at thousands of pieces. Despite the minimum of on-board equipment, there is a very wide range of tasks they perform – scientific research, weather monitoring, obtaining photo and video materials, biological experiments, and teaching students. One of the problems of transmitting useful information from onboard is the short flight time of a spacecraft in the visibility zone of a ground station, which requires a large number of ground tracking stations. This article is devoted to the development and study of a ground tracking station, which solves the problem of pointing receiving antennas to spacecraft and receiving useful information from them.
Multi-sensor image fusion based on low-rank feature and joint convolutional dictionary

Multi-sensor image fusion has been widely used in target detection and recognition in autonomous driving. To improve the contrast and details of the target in the fusion image, this paper proposes a fusion method based on low-rank features and joint image features. This method first obtains the base layer and detail layer of the input image through low-rank representation, and then the proposed method uses joint convolutional dictionary learning to further extract the potential edge features of the detail layer, including similar features and different features. Finally, the feature fusion of different layers is realized through two different fusion rules. Experimental results illustrate that this algorithm is better than popular algorithms on general databases.
Pressureless Sintered-Silver as Die Attachment for bonding Si and SiC Chips on Silver, Gold, Copper, and Nickel Metallization for Power Electronics Packaging: The Practice and Science

Low-temperature silver (Ag) sintering is emerging as a cutting-edge die-attach technology for power electronics packaging. However, the industry still has concerns about completely accepting this technology. One of the reasons is a lack of knowledge about the mechanism and process of sintered silver bonding on various metallization. Before, we reported a preliminary assessment of the die-shear strength and microstructures of Si dummy device attached on Ag, Au, and Cu metallization. This research will go deeper into the practice and science of attaching Si and SiC devices with sintered-Ag on substrates with up to seven most widely used metallizations, including electroplated Ag, Ni/Au, and Ni, electroless-plated Ni(P)/Ag, Ni(P)/Au, and Ni(P), and native Cu on DBC substrate. All sintered-Ag die-attach were pressureless in the air at temperatures ranging from 220 °C to 300 °C. The mechanical, electrical, and thermal parameters, as well as the microstructural analyses, were assessed. The purpose of this research is to gain a better understanding by: 1) discussing effects of devices and substrate metallizations on the mechanical, electrical, and thermal characteristics; 2) reviewing fundamental mechanisms of interfacial adhesion for sintered-Ag bonding, and 3) providing practical considerations for developing Si and SiC sintered-Ag die-attaching profiles on the widely used substrate metallization.
A Precision Clock Synchronization Method of Satellite Constellation Network Based on IEEE 1588 Protocol

With the rapid application of large-scale low-orbit constellations, precision clock synchronization of satellite constellation network has become an important issue. The traditional method, relying on GNSS timing service, has limited accuracy and is difficult to improve, and it is also easily unavailable in interference environment. It has become an inevitable trend to build precision clock synchronization through inter-satellite links in the constellation network, to meet the needs of distributed collaboration and signal-level coherent synthesis for distributed space systems. The IEEE 1588 precision clock synchronization protocol, used in terrestrial wired networks, is an excellent protocol, and it provides a useful reference for the design of satellite constellation network clock synchronization. Based on the transparent clock mechanism of the IEEE 1588 protocol, this paper builds a clock synchronization system for satellite constellation wireless network, and a precision time-frequency transfer mechanism for constellation network is proposed. Theoretical analysis and numerical simulation of synchronization performance are also carried out. The results show that the synchronization performance of the farthest clock of the constellation network is closely related to the inter-satellite distance and the relay hops, and it points out the optimal clock synchronization method under the condition of a certain transmission power.
Influencing Factors Analysis and Evaluation for Undergraduate Programming Ability

Programming ability is the core ability of computer related professional personnel training in universities. At present, there is no unified index system and evaluation method for undergraduate’ programming ability. In order to obtain evaluation data of undergraduate programming ability, we design the questionnaire related to programming ability, collected the grade of undergraduate programming ability related courses, then we computed the correlation between the course grade data and the questionnaire data. We found that comparation with classmates(SE2), visit related websites(IN3), the amount of code they wrote(SC), the number of programming courses they liked(EDU3) seem to be a reliable way to measure programming experience. it is concluded that the main factors affecting undergraduate’ programming ability. Finally, the evaluation model of programming ability is constructed by stepwise regression to verify the correctness of the model and obtain the evaluation model of programming ability of undergraduate. With our analysis, we initiate a path toward measuring programming ability with a valid and reliable tool, so that we can control its influence on professional personnel training in universities.
A Double Dictionary-Based Nonlinear Representation Model for Hyperspectral Subpixel Target Detection

Due to the limitations of hardware technology and budget constraints, there always exists a tradeoff between spatial and spectral resolutions in a hyperspectral image (HSI). Because of the limited spatial resolution, mixed pixels are a common issue in HSIs, and consequently, some targets appear as subpixels. The effectiveness of hyperspectral target detection is affected greatly by the subpixel targets, especially when the size of the targets is small. In this article, we proposed a double dictionary-based nonlinear representation model for hyperspectral subpixel target detection (DDNRTD). DDNRTD represents HSIs with a nonlinear model based on background and target dictionaries, which fully considers the spatial property of background and targets and can separate background and targets reliably, especially for small-sized subpixel targets. In addition, we designed an over-completed background dictionary construction strategy to represent the background part more effectively, which integrates spectral angle distance (SAD) with sparse representation. Experiments on two simulated and five real HSI datasets showed that the proposed DDNRTD method produced more accurate detection results than six state-of-the-art methods.
Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

Highly energy-efficient wireless sensor nodes are a prerequisite for a sustainable operation of the Internet of things. Therefore, classical approaches for system design based on digital signal processing are not a viable solution, but system design has to follow entirely new paradigms. In this regard, we present a sensory system with analog spike-based signal processing for sensing and communication, encoding the sensory information in the pulse repetition frequency (PRF), getting rid of energy hungry A/D and D/A conversion. Our spiking sensory system can generate spikes from any conventional analog output sensor using a compact, highly tunable voltage-controlled oscillator based on vanadium dioxide, and an analog differentiator circuit performing the transmit pulse shaping. The sole conversion from analog to digital takes place at the base station followed by the estimation of the PRF, for which we compare a conventional receiver design consisting of an analog-to-digital converter (ADC) with the use of an integrate-and-fire time encoding machine (IF-TEM). Results show the successful communication of sensory information from the edge node over an additive white Gaussian noise channel to the base station, with the IF-TEM outperforming the conventional ADC for a signal-to-noise ratio above 0 dB.