Miracle-dz/UniFAR-FTUs huggingface dataset:
Emission Inventory and Spatial Distribution of Particulate Matter from Dust Sources in Zhengzhou City, China

Background: With the rapid development of society and economy, Zhengzhou city, a new first-tier city in central China, is facing high levels of particulate matter (PM) pollution. Dust source has been generally recognized as one of the major source of PM emission that cannot be ignored. In this study, we aimed to establish an emission inventory of PM from dust source and characterize its spatial pattern in Zhengzhou, China. Methods: A GIS＆RS based approach was proposed to establish the emission inventory of total suspended particles (TSP), particulate matter 10 (PM 10 ) and particulate matter 2.5 (PM 2.5 ) from dust source. Bare ground, construction sites and paved roads in 2016 was recognized with high resolution remote sensing data.Technical Guidelines for Emissions Inventory of Particulate Matter Emitted from Dust Source recommended by the Ministry of Ecological Environment (MEP) was used to estimate PM emission, and a spatial grid of 3km×3km resolution was established to display the distribution of PM emission from different dust sources. Results: The total emission of TSP, PM 10 and PM 2.5 in Zhengzhou was 237.5 kt·a -1 , 103.7 kt·a -1 and 22.4 kt·a -1 , respectively in 2016. Compared to other cities in China, the PM emission in Zhengzhou was at a relatively high level. Construction dust source was the main emission source in Zhengzhou, the TSP, PM 10 and PM 2.5 emission of which account for 76.42%, 89.68% and 88.39%, respectively of the total emissions, followed by road dust source and soil dust source. Spatially, total TSP, PM 10 , PM 2.5 emission were larger in main urban areas including Jinshui, Zhongyuan, Erqi, Jingkai and other urban districts. Zhongmou, Xingyang and Xinzheng, which bordering with the main urban area, were also the area with high PM emission, while Dengfeng, Gongyi and other remote areas had relatively small emission of PM. Conclusions: The GIS＆RS based approach has good applicability for identifying the emission characteristics in urban area, and it is urgent for Zhengzhou city to take specific measures for the prevention and control of atmospheric pollution under the severe situation of high- level PM emission.
Syntheses of Sub-30 nm Au@Pd Concave Nanocubes and Pt-on-(Au@Pd) Trimetallic Nanostructures as Highly Efficient Catalysts for Ethanol Oxidation

Designed manipulation of the morphology of metallic nanostructures containing Pd and/or Pt represents a challenge in the search of highly efficient precious metal catalysts. We provide herein the first selective synthesis of narrowly sized small (21 nm) Au@Pd concave nanocubes enclosed with high-index Pd facets by deposition of Pd atoms on truncated-octahedral Au seeds. Moreover, further controlled deposition of Pt onto these Au@Pd concave nanocubes produces sub-30 nm trimetallic Pt-on-(Au@Pd) nanostructures having jagged Pt-rich surfaces. The as-prepared Au@Pd and Pt-on-(Au@Pd) nanostructures are found highly active and fairly stable when employed as anode catalysts for ethanol electrooxidation, their activity normalized to the mass of Pd or Pd plus Pt being 7–9 times higher than conventional Pd black catalyst. These data may echo the importance of innovative small multimetallic nanostructures for highly efficient catalysts that depend critically on use of precious metals, for applications in energy, env.
Avaliação da densidade e do pH de géis fluoretados disponíveis no mercado nacional

Atualmente, o emprego de fluoretos seja na forma de administracao sistemica ou na forma de aplicacao topica, e ato pragmatico e quase que uma unanimidade em termos de Odontologia Preventiva. Dentre as caracteristicas dos geis fluoretados para aplicacao topica, a densidade e o pH destes produtos possuem importância muito significativa na seguranca e eficacia deste procedimento preventivo. O objetivo do presente estudo foi analisar a densidade e o pH de geis fluoretados disponiveis no mercado nacional, de diferentes marcas comerciais e em duas concentracoes distintas. Para a verificacao das propriedades dos geis fluoretados presentes no mercado brasileiro foram adquiridos 10 produtos de 5 diferentes fabricantes, separados em geis de fluoreto de sodio a 2%, com carater neutro, e geis de fluor fosfato acidulado (FFA) a 1,23%, dados estes declarados pelos fabricantes e impressos nos rotulos das embalagens. Os valores de pH para os geis de fluoreto de sodio (2%) estao rigorosamente dentro dos padroes estabelecidos para esses produtos. Ja os geis de FFA (1,23%) Odahcam O e Inodon O apresentaram grandes diferencas de pH, respectivamente (4,96) e (4,65), ou seja, acima de 30% entre o pH esperado e o encontrado. As densidades dos geis avaliados apontam para produtos com valores adequados ao fim a que se destinam (aplicacao topica de fluor supervisionada por Cirurgiao-Dentista), entretanto os produtos Odahcam O e Inodon O , por apresentaram grandes diferencas de pH, colocam-se fora do padrao minimo de eficacia desejado.
A Monte Carlo Simulation on Shape of Grafted Polymer Chains

The shape of polymer chain on a simple cubic and a tetrahedral lattice, with one end absorbed by an impermeable wall, was studied with Monte Carlo technique. The results show that the shape of grafted polymer chains is more deviated from sphere than that of free ones. The limit value of 〈 L 1 2〉∶〈 L 2 2〉∶〈 L 3 2〉 of grafted polymer chains is about 1∶2.75∶12.5; the values of 〈 L 2 2〉/〈 L 1 2〉 and 〈 L 3 2〉/〈 L 1 2〉 of grafted polymer chains are bigger than those of free ones, they decrease with the increase of chain length. It is found that the deviation of 〈 L 2 2〉/〈 L 1 2〉 and 〈 L 3 2〉/〈 L 1 2〉 of grafted polymer chains from those of free ones depends on chain′s lattice model.
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals

The development of a two-stage approach for appraisal inference from automatically detected Action Unit (AU) intensities in recordings of human faces is described. AU intensity estimation is based on a hybrid approach fusing information from an individually fitted mesh model of the faces and texture information. Evaluation results for two datasets and a comparison against a state-of-the-art system, namely OpenFace are provided. In the second stage, the emotional appraisals novelty, valence and control are predicted from estimated AU intensities by linear regressions. Prediction performance is evaluated based on face recordings from a market research study, which were rated by human observers in terms of perceived appraisals. Predictions of valence and control from automatically estimated AU intensities closely match those obtained from manually coded AUs in terms of agreement with human observers, while novelty predictions lag somewhat behind. Overall, results highlight the flexibility and interpretability of a two-stage approach to emotion inference.
The effect of bentonite feeding for young cattle on the exchange of nitrogen, mineral elements and the digestibility of diet nutrients

The completeness of animal nutrition rations in terms of the content of minerals is considered one of the conditions for balanced feeding, since their lack in the diet often leads to metabolic process disorder among animals, which reduces growth and development, productivity, disturbs reproductive ability, and develops endemic diseases. Currently, for the partial compensation of trace mineral deficiency in the diets of use mineral substances of natural origin. One of such sources is bentonite clay of the Zamankul deposit. Taking into account the significant increase of the economically useful traits among young cattle identified in our studies when feeding with bentonite, substantiated by physiological studies, we performed research to study the exchange of nitrogen, mineral elements and the digestibility of nutrients in the body of 9 - 18-month-old cattle of the Simmental breed for fattening at the farm “Kaloev”, stanitsa Zmeyskaya, North Ossetia-Alania. Studies have established the digestibility of nutrient increase in the feed ration from 1.8 to 3.5%, a significantly greater retention of nitrogenous substances in the body of animals fed with bentonite - by 8.2%, a significant improvement of mineral element use in the feed.
Heterogeneous Latent Topic Discovery for Semantic Text Mining

In order to mine latent semantics from text data, word embedding and topic modeling are two major methodologies in the industry. From a pragmatic perspective, each of these two lines of semantic models faces increasing challenges from real-life applications. Topic modeling view documents as bags of words and is unable to capture the sequential relationship between words. On the other hand, word embedding models the co-occurrence of neighboring words but lacks the global view of the document. Therefore, they can only discover homogenous semantics from a single aspect. However, modern text mining tasks typically require a panoramic view of the latent semantics. Hence, discovering heterogeneous semantics (e.g., heterogeneous types of latent topics) is critical for the performance of these tasks, and it is necessary to design a model that meets this demand. Furthermore, with the arrival of the big data era and the increasing awareness of data privacy, it is necessary to study mining heterogeneous semantics with high efficiency while avoiding compromising data privacy. In this work, we develop a novel method called Heterogeneous Latent Topic Discovery (HLTD) which seamlessly integrates topic modeling with word embedding to discover heterogeneous latent topics. By coupling parameter-server architecture with new private sampling algorithms, HLTD can be efficiently trained to protect underlying data privacy. We evaluate HLTD through a wide range of qualitative and quantitative metrics in the industry. Extensive experiments demonstrate the superiority of HLTD over the state-of-the-arts.
Poly(norbornyl-NDIs) as a potential cathode-active material in rechargeable charge storage devices

Two pendant-type naphthalene diimide (NDI) polymers bearing a polynorbornene backbone were prepared and their electrochemical properties explored. The NDI-based polymers displayed reversible redox responses in 1 M LiClO4 γ-butyrolactone electrolyte. Polymer 1, bearing a N-methyl group, exhibited remarkable charge-storage capabilities which demonstrated its potential usefulness as an organic cathode-active material in rechargeable devices with excellent performances such as large charge capacity, high rate capability, and charge–discharge cyclability.
Evaluation of Germany’s Vulnerability Based on Economic Principles and Data Science

Vulnerability refers to the ability of a country or a region to resist internal and external natural factors such as ecological environment, economy, and society during its development. Germany is a country with low overall vulnerability and distinct regional differences, so research on its regional vulnerability can be a representative case for developing countries, as it provides a comprehensive assessment of regional vulnerability via scientific methodology and at the same time proposes rational solutions. The research collects quarterly data of 16 states of Germany from 2000 to 2015. This study describes a series of features of the data and establishes a comprehensive assessment of regional vulnerability including 33 indicators. Combined with the multi-criteria decision analysis method (MCDM), the analytic hierarchy process (AHP) method and the entropy method are applied to calculate the weights. A linear weighted sum method is applied to obtain the regional vulnerability index of Germany. Afterwards, by performing regression tests, this study empirically assess the influencing factors of the regional vulnerability of Germany. Moreover, this study adopts the neural network training model and forecasts the regional vulnerability of Germany of 2016 to 2020. This study identifies the main factors that influence the regional vulnerability of Germany, and proposes policy implications on the overall regulation to reduce the vulnerability of different regions in Germany accordingly.
Microstructure and Optical Properties of Oxygen-Annealed c-Si/a-SiO2 Core–Shell Silicon Nanowires

Core–shell silicon nanowires (Si-NWs) were synthesized by chemical vapor deposition (CVD) using SiH4 and H2 as precursors. The electron microscopy results revealed that the core shell Si-NW consists of core Si surrounded by thick amorphous silicon oxide (a-SiOx). The diameter of core Si in a core–shell Si-NW was controlled by varying the oxygen flow rate and annealing time. The morphology of core shell Si-NWs is changed to silicon nanocoils (Si-NCs)/silicon nanonoodles (Si-NNs) after being annealed in oxygen atmosphere. The Fourier transform infrared spectroscopy (FTIR) study confirmed the changes of Si–Si and Si–O–Si vibration band and the intensity of Si–O–Si vibration mode increases with decreasing diameter of Si-NWs. The optical properties of core–shell Si-NWs are improved after being annealed in oxygen atmosphere. The chemical bonding and photoluminescence properties of oxygen annealed Si-NWs are also discussed in this article.
BIOLOGICALLY ACTIVE PLANT-DERIVED SUBSTANCES WITH ANTIMICROBIAL PROPERTIES

Modern medicine, as well as the pharmaceutical, cosmetic and food industries appreciate the value of plant raw materials for their antiseptic, analgesic, anti-inflammatory and soothing effects. Medicinal plants, often found endemically, are often treated as potential sources of new substances with antimicrobial and antifungal activity. The aim of this study was to analyze the significance of selected medicinal and spice plants in terms of their ability to inhibit the growth of microorganisms, including those pathogenic to humans. The significance of active substances contained in selected plant species with high antimicrobial potential including Aloe vera L. and Chelidonium majus L. was described. The antimicrobial activity of plant oils, including those extracted from citrus and spice plants, was also analyzed. Plants are a rich source of many substances with a broad spectrum of activity. This knowledge has often been used in folk medicine, but it was not until the development of modern research methods that the mechanisms underlying the therapeutic properties of many plant substances and their proper use could be understood. New substances present in plant materials are constantly being discovered that may be of medical interest because of their great potential to be used against microorganisms or because of their antioxidant and anti-cancer properties.
COD fractionation of wastewater on cruise liners before and after advanced treatment

The purpose of this Bachelor thesis was to establish a method for determining the chemical oxygen demand (COD) fractionation in wastewater from cruise liners. COD fractions of interest were soluble biodegradable (SS), particulate biodegradable (XS), soluble unbiodegradable (SI) and particulate unbiodegradable (XI). Three types of wastewater (gray water, black water and permeate) were analysed and a method with a physiochemical approach was established. The method was originally elaborated by Jun Wu et al in the study “Wastewater COD biodegradability fractionated by simple physical–chemical analysis” (2014) Chemical Engineering Journal[ES1] [JB2] 258, p 450-459. The method was also used for comparison reasons of the COD fractionation in permeate before and after advanced treatment with nanofiltration and ozonation. Total COD in permeate was almost half of the initial value after nanofiltration and XI was eliminated. After ozonation no significant difference was observed neither in total COD concentration or fractionation pattern. The conclusion is that this method to determine the COD fractions has potential but it needs further optimization in form of adjusting the methods matrix specifically based on wastewater from cruise liners.
Distributed Slicing in Dynamic Systems

Peer to peer (P2P) systems have moved from application specific architectures to a generic service oriented design philosophy. This raised interesting problems in connection with providing useful P2P middleware services capable of dealing with resource assignment and management in a large-scale, heterogeneous and unreliable environment. The slicing problem consists of partitioning a P2P network into k groups (slices) of a given portion of the network nodes that share similar resource values. As the network is large and dynamic this partitioning is continuously updated without any node knowing the network size. In this paper, we propose the first algorithm to solve the slicing problem. We introduce the metric of slice disorder and show that the existing ordering algorithm cannot nullify this disorder. We propose a new algorithm that speeds up the existing ordering algorithm but that suffers from the same inaccuracy. Then, we propose another algorithm based on ranking that is provably convergent under reasonable assumptions. In particular, we notice experimentally that ordering algorithms suffer from resource-correlated churn while the ranking algorithm can cope with it. These algorithms are proved viable theoretically and experimentally.
A Rule to Account for Mass Shifts in Fragmentations of Even-Electron Organic Ions in Mass Spectrometry

A rule of mass shift, which accounts for mass shifts in fragmentations of even-electron organic ions, is exemplified in detail. The term “mass shift” is defined as a mass di#erence between the mass of an observed ion and the mass calculated from the corresponding part of the structural formula of a sample molecule. According to the nature of the cleaved bond, the mass shift is either 0, 1, 2, or even 3 for positively charged fragment ions, and 0, 1, or 2 for negative ions. Rationalization of the rule is made on the basis of structural requirement of stable even-electron organic ions. The rule is shown to be valid not only for ordinary reactions of positive or negative ions but also for collision-induced dissociations and charge-remote fragmentations. Some mechanistic implication of fragmentations related to the rule is also discussed.
Potensi Infusa Kemiri (Aleurites moluccana) sebagai Analgesik dan Stimulator Stamina

Kesehatan merupakan hal penting untuk menjalankan aktivitas sehari-hari. Penurunan kesehatan dan daya tahan tubuh mengakibatkan timbul rasa nyeri serta mudah terserang penyakit. Pengobatan herbal digunakan sebagai pengobatan alternatif yang lebih aman dan terjangkau dibandingkan pengobatan nonherbal dari bahan-bahan kimia. Kemiri merupakan salah satu tanaman herbal yang memiliki banyak khasiat dan sering digunakan sebagai pengobatan oleh masyarakat. Penelitian ini bertujuan mempelajari efektivitas infusa kemiri sebagai analgesik dan stimulator stamina dalam berbagai dosis pada mencit. Uji efektivitas analgesik ditinjau menggunakan metode hot water immersion tail-flick test dan uji efektivitas stamina menggunakan metode natatory enhausen. Penelitian ini menggunakan 20 ekor mencit jantan yang dikelompokkan menjadi kelompok kontrol dan kelompok perlakuan yang diberi infusa kemiri dengan dosis 1, 2, dan 4 g/kg BB. Setiap kelompok terdiri atas 5 ekor. Data dianalisis menggunakan analysis of variance (ANOVA) kemudian dilanjutkan dengan uji Tukey. Hasil penelitian didapatkan dosis efektif pada uji analgesik adalah 4 g/kg BB dengan waktu respons nyeri ekor terlama yaitu 7.840±0.477 detik dan pada uji stamina adalah 1 g/kg BB yang ditunjukkan dengan durasi berenang terlama yaitu 145.00±20.65 detik. Kemiri memiliki efektivitas terhadap analgesik dan stimulator stamina.
Comments on “Substrate-Integrated-Waveguide-Fed Array Antenna Covering 57–71 GHz Band for 5G Applications”

In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, substrate-integrated-waveguide-fed array antenna is proposed and it covers broad bandwidth including 57–71 GHz for 5G applications. In Table IV in <xref ref-type="bibr" rid="ref1">[1]</xref>, the aperture efficiency of <xref ref-type="bibr" rid="ref1">[1]</xref>–<xref ref-type="bibr" rid="ref2"/><xref ref-type="bibr" rid="ref3">[3]</xref> is recorded above the radiation efficiency. However, this statement needs to be corrected.
Accelerating Neural Network Inference on FPGA-Based Platforms—A Survey

The breakthrough of deep learning has started a technological revolution in various areas such as object identification, image/video recognition and semantic segmentation. Neural network, which is one of representative applications of deep learning, has been widely used and developed many efficient models. However, the edge implementation of neural network inference is restricted because of conflicts between the high computation and storage complexity and resource-limited hardware platforms in applications scenarios. In this paper, we research neural networks which are involved in the acceleration on FPGA-based platforms. The architecture of networks and characteristics of FPGA are analyzed, compared and summarized, as well as their influence on acceleration tasks. Based on the analysis, we generalize the acceleration strategies into five aspects—computing complexity, computing parallelism, data reuse, pruning and quantization. Then previous works on neural network acceleration are introduced following these topics. We summarize how to design a technical route for practical applications based on these strategies. Challenges in the path are discussed to provide guidance for future work.
Risk minimization inventory model with a profit target and option contracts under spot price uncertainty

This paper aims to analyze the inventory purchasing model for a manufacturer with an objective of minimizing risk and a constraint on profit target, where the manufacturer buys the components from the supplier or in the spot market and tailors them into the final products to meet a deterministic demand. This paper develops the mean-variance optimization models without and with option contracts, and conducts numerical examples to explore how the target profit level, the spot price uncertainty and option contracts affect the manufacturer's optimal solutions and the level of risk. It is shown that without and with option contracts the manufacturer's level of risk is non-decreasing in the target profit level. With (without) option contracts, the manufacturer suffers a zero risk from a higher spot price uncertainty if the profit target is low, whereas suffers a lower (higher) risk from a higher spot price uncertainty if the profit target is high. Finally, the level of risk faced by the manufacturer is not higher with option contracts than without them. This paper facilitates the application of option contracts in inventory purchasing management with a spot market for the risk minimization manufacturer with a profit target consideration. New insights are also provided for the manufacturer to set an appropriate profit target for an affordable level of risk, and establish the risk observation mechanism for hedging against the spot price volatility effectively.