Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation Analysis and Fabrication of a Silicon Carbide-Based Piezoresistive Accelerometer

This paper proposes a Micro Electro Mechanical Systems piezoresistive accelerometer based on a whole SiC substrate. Compared with Si-based sensors, SiC-based sensors have stronger mechanical advantages and unique advantages for applications in ultra-high temperature environments. The characteristics of the accelerometer are designed and numerically simulated, and the accelerometer is evaluated in terms of stress load and working frequency band. An innovative design is carried out to eliminate the stress concentration phenomenon in the corner area of the sensor, which guarantees the working safety of the fragile structure of SiC. After fabrication, packaging and vibration experiment, it is found that the sensor’s working sensitivity can reach 0.21mv/g, and its linearity can reach 98%.
The adsorption postures of water on CH3NH3PbI3 surfaces: a first-principles insight

Inorganic organic perovskite solar cells (PSCs) are a kind of solar cells with rapid development in recent years, but their poor environmental stability, such as the water degradation behavior, hinders their commercialization. Here, we have thoroughly studied the adsorption postures of water on CH3NH3PbI3 surfaces. It is found that the adsorption energy of water molecules on perovskite surfaces is [-0.63, -0.59] eV, and with different initial postures, water molecules could eventually be adsorbed above Pb atom in a horizontal structure. The interaction between the perovskite surface and water molecules mainly comes from the electron exchange of Pb-O atoms. The weak interaction between H-I atoms makes the H atom approach the I atom, which could help maintain a horizontal structure of water molecules. The interactions between perovskite surfaces and water are well explained by our DFT calculations.
GeoMapViz: a framework for distributed management and geospatial data visualization based on massive spatiotemporal data streams

Spatiotemporal big data have multisource, heterogeneous, high-dimensional and spatiotemporal associations. Due to the limited computing and network resources, while the spatiotemporal data to be rendered are large and dynamic, efficient visual analysis has always been a popular topic and has had difficulty in the research of spatiotemporal big data. As one of the important means of big data visualization, thermal maps play an important role in expressing data flow, information flow, and trajectory flow. At the same time, the development of a distributed computing framework also provides technical support for the online calculation and visualization of spatiotemporal data streams. In response to the above problems, this paper designs and implements GeoMapViz, a distributed management based on massive spatiotemporal data streams and a multiscale geographic spatial visualization framework, which is oriented by the expression of thermal maps of massive point datasets. First, based on the concept of the tile pyramid model and spatiotemporal cube, we propose a thermal map sequential tile pyramid (TS_Tile) model, which realizes scalable storage and efficient retrieval of data flow. GeoMapViz adopts a high-performance Flink stream computing cluster to implement the large-scale parallel construction of hierarchical tile pyramids, implements distributed storage and index construction of data based on HBase and Geomesa, and uses Geoserver to manage the map service to provide a spatiotemporal range query interface. Finally, through using an open dataset as a system simulation test, the results show that the TS_Tile model can effectively organize large-scale, time-space and multidimensional thermal map data, and the query and visualization of the heatmap can reach a subsecond response. Furthermore, GeoMapViz supports the integration of the thermal map and original flow and provides a feasible solution for the visual analysis of large-scale spatiotemporal data.
Lightweight spatial pyramid pooling network for real-time semantic segmentation

In recent years, the state-of-the-art semantic segmentation models have made extremely successful in various challenging scenes. However, the high computation costs of these models make it difficult to deploy to mobile devices. To better serve in computation constraint scenes, the semantic segmentation model should not only have high segmentation performance, but also fast inference speed. In this paper, we proposed an efficient multi-scale context module named LSPPM, which can gather abundant context information at a low computation cost. Base on this, we present a real-time semantic segmentation model called LSPPNet which is specially designed for real-time application. We have done an exhaustive experiment to evaluate LSPPNet in the challenge urban street scenes datasets Cityscapes. Extensive experiment shows that LSPPNet gets a better trade-off between segmentation performance and inference speed. We test LSPPNet on an NVIDIA 2080 super graphics card and it can achieve 75.8% MIoU in Cityscapes test set in real-time speed.
Research on Fingerprint Recognition Algorithm

Fingerprint characteristics will not change due to growth or aging, and are unique and suitable for the field of identification. The fingerprint image is scanned from left to right and from top to bottom in order to scan the points on the entire image, and then the points on the image are judged to achieve fingerprint feature point extraction. Then, the fingerprint image is preprocessed and feature extracted, and the center point of the fingerprint, the direction field of the fingerprint image and the coordinates of the feature point are obtained. The reference direction of the fingerprint is extracted. After the reference point and the reference direction of the fingerprint are determined, the characteristic information of the fingerprint is modified and the characteristic information is expressed in polar coordinates. The template and the feature information of the input image are sorted in the direction according to the direction of increasing polar angle, and the feature information is connected in series. If the matching degree of feature points is greater than the preset value, it is considered that the two fingerprints are matched successfully. It can be seen from the experimental results that the two fingerprint images are loaded, the feature point map and the smooth processing map are extracted after preprocessing, and the feature point matching degree is calculated. It can be judged that the two fingerprint images are from the same fingerprint.
Short-term power generation load forecasting based on LSTM neural network

With the gradual deepening of power market reform, power generation enterprises’ prediction of their future short-term power generation load is conducive to affecting the load distribution of power grid dispatching to power generation enterprises, so as to achieve the purpose of power marketing. In this regard, this paper proposes a power generation load forecasting method based on long and short-term memory (LSTM) neural network, which takes the power generation load sequence data as the model input to predict the future short-term power generation load of power generation enterprises, and proves that compared with the traditional Neural network method, LSTM neural network has higher prediction accuracy.
Electron transport at TiO2/perovskite interfaces by considering the defect effects: a first-principles insight

The interface property of perovskite solar cells (PSCs) is very important, which can influence the electron transmission efficiency and stability of the cells. In this text, we have discussed the stability and bonding characteristics of PbI2/TiO2 interfaces by using the first-principles method. The PbI2/TiO2 interfaces have a high interfacial binding energy of -0.93 J/m2, where the Ti-I and Pb-O bonds could form. Furthermore, the electron transport at the interfaces has been analyzed by the partial density of states by comparing the clean interfaces and interfaces with different defects. The results show that the clean PbI2/TiO2 interfaces could cause a stronger internal electric field, which might make the electron-hole pairs separate more easily at the interfaces. Also, it is found that common defects VI and Ii are relatively easy to form at the interfaces. Some defects at low concentrations might have little effect on the electron transport at the interfaces, while they are harmful only when the concentration increases. However, VPb with a high formation energy could adversely affect the electron transmission even at low concentrations. Controlling the defects at the interfaces is essential to improve the power conversion efficiencies (PCEs) and stability of PSCs.
Spatiotemporal variation patterns and aggregation of crop residue burning at county scale in Northeast China

Crop residue burning (CRB) has been a major environmental concern in key agricultural regions of China. To reveal spatiotemporal patterns of CRB events, a county-level assessment in Northeast China was conducted using Moderate Resolution Imaging Spectroradiometer (MODIS) thermal anomalies and land cover data. The results revealed that cropland fire occurrence increased significantly from 2003 to 2019, and annual CRB occurrence from 2014 to 2019 was significantly higher than that from 2003 to 2013. The majority of detected CRB events occurred in spring and autumn, accounting for 58.50% and 28.98% of the total cropland fires, respectively. The time scan statistics showed that CRB events lasted for approximately 40 days each year and were more severe in spring than autumn. The number of cropland fires monitored by Terra and Aqua satellites was relatively more balanced, accounting for 49.74% and 50.26% of the total, respectively, indicating that farmers may intentionally burn crop residue at night. The counties with higher CRB intensity were mainly in the Songnen Plain, Sanjiang Plain, and along the main stream of the Liaohe River. The Moran’s I value of 0.054 to 0.452 for CRB intensity demonstrated a strong spatial autocorrelation at the county level. The local autocorrelation Getis-Ord Gi* showed 86 counties with significant hot spots and 91 counties with significant cold spots. The county-level temporal and spatial patterns of CRB events may be the results of policies and socio-economic conditions. This study could provide support for identifying the influencing factors of CRB and offer suggestions for crop residue management practices in this agriculture-dominant region.
CMAR_A_286269 235..245

*These authors contributed equally to this work Purpose: To explore the potential factors influencing the malignancy risk of amorphous calcifications and establish a predictive nomogram for malignancy risk stratification. Patients and Methods: Consecutive mammograms from January 2013 to December 2018 were retrospectively reviewed. Traditional clinical features were recorded, and mammographic features were estimated according to the 5th BI-RADS. Included calcifications were randomly divided into the training and validation cohorts. A nomogram was developed to graphically predict the risk of malignancy (risk) based on stepwise multivariate logistic regression analysis. The discrimination and calibration performance of the model were assessed in both the training and validation cohorts. Results: Finally, 1018 amorphous calcifications with final pathological results in 907 women were identified with a malignancy rate of 28.4% (95% CI: 25.7%, 31.3%). The malignancy rates of subgroups divided by the distribution of calcifications, quantity of calcifications, age, menopausal status and family history of cancer were significantly different. There were 712 cases and 306 cases in the training and validation cohorts. The prediction nomogram was finally developed based on four risk factors, including age and distribution, maximum diameter and quantity of calcifications. The AUC of the nomogram was 0.799 (95% CI: 0.761, 0.836) in the training cohort and 0.795 (95% CI: 0.738, 0.852) in the validation cohort. Conclusion: On mammography, the distribution, maximum diameter and quantity of calcifications are independent predictors of malignant amorphous calcifications and can be easily obtained in the clinic. The nomogram developed in this study for individualized malignancy risk stratification of amorphous calcifications shows good discrimination performance.
Microalgae downstream processing and economical approaches of biodiesel producton processes

Microalgae oil has been identified as a reliable resource for biodiesel production due to its high lipid productivity and potential cultivation in non-fertile locations. However, high scale production of microalgae based biodiesel depends on the optimization of the entire process to be economically feasible. The present work combine the optimization of microalgae downstream processes with computational tools for the modeling of different scenarios of the harvesting, oil extraction and transesterification with data obtained at pilot scale. This approach detects process bottlenecks that could have led to an overestimation of the potentiality of the microalgae lipids as a resource for the biodiesel production. Reduction of the cultivation step is mandatory to consider the microalgae-based biodiesel competitive with respect to the fossil diesels. The required biodiesel market price for the best alternative assessed is $5700 per MT where only the biomass production (cultivation/harvesting) is responsible of the 65% of the cost.
Elaborate expansion of syntenic V1R hotspots correlates with high species diversity in nocturnal mouse and dwarf lemurs

Sensory gene families are of special interest, both for what they can tell us about molecular evolution, and for what they imply as mediators of social communication. The vomeronasal type-1 receptors (V1Rs) have often been hypothesized as playing a fundamental role in driving or maintaining species boundaries given their likely function as mediators of intraspecific mate choice, particularly in nocturnal mammals. Here, we employ a comparative genomic approach for revealing patterns of V1R evolution within primates, with a special focus on the small-bodied nocturnal mouse and dwarf lemurs of Madagascar (genera Microcebus and Cheirogaleus, respectively). By doubling the existing genomic resources for strepsirrhine primates (i.e., the lemurs and lorises), we find that the highly-speciose and morphologically-cryptic mouse lemurs have experienced an elaborate proliferation of V1Rs that we argue is functionally related to their capacity for rapid lineage diversification. Contrary to a previous study that found equivalent degrees of V1R diversity in diurnal and nocturnal lemurs, our study finds a strong correlation between nocturnality and V1R elaboration, with nocturnal lemurs showing elaborate V1R repertoires and diurnal lemurs showing less diverse repertoires. Recognized subfamilies among V1Rs show unique signatures of diversifying positive selection, as might be expected if they have each evolved to respond to specific stimuli. Further, a detailed syntenic comparison of mouse lemurs with mouse (genus Mus) and other mammalian outgroups shows that orthologous mammalian subfamilies, predicted to be of ancient origin, tend to cluster in a densely populated region across syntenic chromosomes that we refer to as V1R “hotspots. ”
Der Einsatz von Sorbentien im gesamten System von Abgasreinigungsanlagen

Alors qu'au debut des annees quatre-vingt-dix on songeait encore a augmenter l'efficacite des unites d'epuration des gaz de fumee au moyen de plusieurs etages successifs, la tendance va de nouveau aujourd'hui vers des technologies plus simples mais plus efficaces d'epuration des gaz de fumee. L'article presente les differentes etapes d'epuration des gaz et explique en detail quels sont les agents de sorption susceptibles d'etre utilises. L'article presente des concepts d'equipements posterieurs bases, d'une part, sur la conception de l'unite existante mais permettant, d'autre part, d'assurer de maniere fiable le respect des nouvelles valeurs limites sans perturbation notable de l'exploitation.
Multiple sources of slow activity fluctuations in a bacterial chemosensory network

Cellular networks are intrinsically subject to stochastic fluctuations, but analysis of the resulting noise remained largely limited to gene expression. The pathway controlling chemotaxis of Escherichia coli provides one example where posttranslational signaling noise has been deduced from cellular behavior. This noise was proposed to result from stochasticity in chemoreceptor methylation, and it is believed to enhance environment exploration by bacteria. Here we combined single-cell FRET measurements with analysis based on the fluctuation-dissipation theorem (FDT) to characterize origins of activity fluctuations within the chemotaxis pathway. We observed surprisingly large methylation-independent thermal fluctuations of receptor activity, which contribute to noise comparably to the energy-consuming methylation dynamics. Interactions between clustered receptors involved in amplification of chemotactic signals are also necessary to produce the observed large activity fluctuations. Our work thus shows that the high response sensitivity of this cellular pathway also increases its susceptibility to noise, from thermal and out-of-equilibrium processes.
Towards miniaturized LED drivers : a model-centric design framework for switched-capacitor converters

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Ampere and Faraday: The Electromagnetic Symmetry

Ampere and Faraday: the electromagnetic symmetry Emf induced by flux-cutting is interpreted as that in a closed circuit due to an enclosed ‘magnetic (convection) current’. Conversely, the m.m. f. in a closed magnetic circuit enclosing a current is interpreted as due to cutting of electric flux. These interpretations make the picture of electromagnetic phenomena complete and symmetrical.
Conductivity calculations from eddy current measurements on thin specimens

During service at high temperature or in aggressive media, metallic structures and components may suffer changes such as phase transformations or second phase precipitation, as a consequence of which the mechanical and chemical properties of the structures may change. Their performance will thus differ from that considered for the design of the component. A knowledge of the amount of a second phase precipitated in a component should be an important tool in the hands of the maintenance engineer, and more so if this information could be obtained by reliable non-destructive testing. Eddy current testing is an adequate method for these assessments, dedicated equipment being available from different vendors. Normal inspection procedures for these devices, however, require the specimen be thick as compared with skin depth. In order to be able to calculate conductivity of specimens not complying the latter condition, a model of the impedance plane was programmed in a PC, taking into account the effect of specimen thickness. Suitable calibrations would allow for the non-destructive assessment of the amount of second phases or alloying elements present in a material. One possible application is the assessment of hydrogen content in reactor components such as pressure and calandria tubes, information which will enable the experts to predict the degree offragilisation of those components. This type of tests should be a natural complement to the normal inspection procedures, which search for cracks and blisters.
New stiffened plate elements based on the absolute nodal coordinate formulation

In this study, several new stiffened plate element models are proposed based on the absolute nodal coordinate formulation. The stiffened plate elements with different geometrical continuity conditions and performances are developed by a full parametrized plate element and three different beam elements of absolute nodal coordinate formulation. The effect of stiffener is incorporated by internally constraining the stiffener displacement fields to the relevant plate displacement fields. The displacement compatible conditions of plate and stiffener are investigated to obtain the transformation matrix of nodal coordinates. The mass and stiffness of a stiffener is reflected at all the nodes of the plate element in which it is placed. Accordingly, the stiffener can be positioned anywhere within the plate element along lines of local coordinates and need not necessarily be placed on nodal lines, which gives a great flexibility in the choice of mesh size. The stiffened plate elements also achieve a better continuity condition with the slope constraint equations. Static, dynamic, and free vibration analyses are conducted to validate the proposed elements and to study the performance of the stiffeners. The results show that the new elements can be applied to describe mechanical behaviors of stiffened structures in both static and dynamic situations. The effects of the dimension of cross section and the number of stiffeners are also numerically investigated for both linear and nonlinear deformation problems.
Effects of the Duration of Ultrasonic Irradiation and the Atmospheric Environment on the Characteristics of ZnO Nanostructures via a Sonochemical Method

Nanostructured zinc oxide (ZnO) was synthesized via a sonochemical method. The effect of the duration of ultrasonic irradiation in a continuous mode on the generated particles was investigated. Additionally, the effect of flowing either air or nitrogen during the sonication process was investigated. Zinc nitrate and ammonia water-based solutions were selected as chemicals without the addition of other surfactants. The generated particles indicated that a wurtzite structure of ZnO in a hexagonal phase was formed with a crystalline size that increased as the ultrasound irradiation time increased. The morphology of the generated ZnO particles could be changed from flowerlike to needlelike structures via continuous ultrasound irradiation over one to two hours, resulting in increases in the particle lengths and decreases in the particle diameters from 200 to 80 nm. Photoluminescence intensity was also increased with increases in the ultrasonic irradiation times. Photoluminescence spectra were also influenced by the atmospheric environment. Two bands centered at 390 and 500 nm were generated under a nitrogen environment. On the other hand, a single wide band with a peak at around 430 nm was found for particles generated under an air environment. It can be applied for light emitting diodes (LED) or laser fabrication with a controlled emitting band.
Appraisal of Reference Services in Two Public Libraries - the FCT City Library Wuse Abuja and Nassarawa State Library, Lafia

ing services / / Bibliographic verification services / / Indexing services / / The response from the above table indicates that Nasarawa state library, Lafia provides the following services –user education, document delivery services, computer literature searches, current awareness services, selective dissemination of information, photocopying services, internet browsing services, internet – library loan services, abstracting services, bibliographic verificationservices and indexing services. While FCT library Abuja provides all excluding