Miracle-dz/UniFAR-FTUs huggingface dataset:
E

Unprecedented recruitment of Gulf menhaden (Brevoortia patronus) followed the 2010 Deepwater Horizon blowout (DWH). The foregone consumption of Gulf menhaden, after their many predator species were killed by oiling, increased competition among menhaden for food, resulting in poor physiological conditions and low lipid content during 2011 and 2012. Menhaden sampled for length and weight measurements, beginning in 2011, exhibited the poorest condition around Barataria Bay, west of the Mississippi River, where recruitment of the 2010 year class was highest. Trophodynamic comparisons indicate that ~20% of net primary production flowed through Gulf menhaden prior to the DWH, increasing to ~38% in 2011 and ~27% in 2012, confirming the dominant role of Gulf menhaden in their food web. Hyperabundant Gulf menhaden likely suppressed populations of their zooplankton prey, suggesting a trophic cascade triggered by increased menhaden recruitment. Additionally, low-lipid menhaden likely became “junk food” for predators, further propagating adverse effects. We posit that food web analyses based on inappropriate spatial scales for dominant species, or solely on biomass, provide insufficient indication of the ecosystem consequences of oiling injury. Including such cascading and associated indirect effects in damage assessment models will enhance the ability to anticipate and estimate ecosystem damage from, and provide recovery guidance for, major oil spills.
Infection Control Measures

It is important to establish a system for assessing all patients at admission allowing early recognition of possible Covid 19 infection. Healthcare workers should have a high level of clinical suspicion to detect cases early. Upon detection, suspected cases should be immediately isolated in an area separate from other patients (source control). Information on the disease can be displayed in waiting areas, OPD and other public areas to remind symptomatic patients to alert the healthcare staff of their symptoms. Adhering to hand and respiratory hygiene measures are important and should be emphasized for the general public visiting the hospital by displaying relevant information in the hospital.
Hydrodynamics of High-Speed Marine Vehicles

1. Introduction 2. Resistance and propulsion 3. Waves 4. Wave resistance and wash 5. Surface effect ships 6. Hydrofoil vessels and foil theory 7. Semi-displacement vessels 8. Slamming, whipping and springing 9. Planing vessels 10. Manoeuvring Appendix References Index.
Degradation of Micropollutants and Formation of Oxidation By-Products during the Ozone/Peroxymonosulfate System: A Critical Review

The O3/PMS system has appeared as an effective wastewater treatment method because of the simultaneous generation of hydroxyl radicals (•OH) and sulfate radicals (SO4•−). Many research achievements have been made on the degradation of micropollutants and the reaction mechanism of the O3/PMS system. However, an integral understanding of the O3/PMS system is lacking, which limits the development of safe and effective AOP-based water treatment schemes. Therefore, in this review, the degradation effects, toxicity changes, and reaction mechanisms of various micropollutants in the O3/PMS system are reviewed. The formation of oxidation by-products (OBPs) is an important issue that affects the practical application of O3/PMS systems. The formation mechanism and control methods of OBPs in the O3/PMS system are overviewed. In addition, the influence of different reaction conditions on the O3/PMS system are comprehensively evaluated. Finally, future research needs are proposed based on the limited understanding of O3/PMS systems in the degradation of micropollutants and formation of OBPs. Specifically, the formation rules of several kinds of OBPs during the O3/PMS system are not completely clear yet. Furthermore, pilot-scale research, the operational costs, sustainability, and general feasibility of the O3/PMS system also need to be studied. This review can offer a comprehensive assessment on the O3/PMS system to fill the knowledge gap and provide guidance for the future research and engineering applications of the O3/PMS system. Through this effort, the O3/PMS system can be better developed and turned towards practical applications.
Intelligent Analogy on Wireless Communication Link Performance of Industry Wireless Sensor Networks

The received signal strength indication (RSSI) is the key factor in the communication link for industry wireless sensor networks, while it is very difficult to model the value of RSSI to the distance of two communication nodes. This paper presented a fuzzy neural network modeling method to solve the shortcoming of the theoretical modeling. After the value of RSSI and the distance value of two communication nodes are fuzzed by Gaussian membership function, a fuzzy controlling rule is also presented, and then the output value of fuzzy neural network, namely the error distance of two communication nodes can be attained. Finally, simulation results show that without correcting the environmental parameters, the estimated error value of the distance of two communication nodes through RSSI in fuzzy neural network model is less than in quadratic fit method. So, the method presented by this paper can provide precise data support for wireless sensor networks for industry environment.
A research model of project complexity and goal commitment effects on project outcome

Essentially, performance evaluation is a human behavioural phenomenon involving a cognitive perceptual process. Project performance has two attributes, at least: (1) the individual's expected performance (manifested as assigned goals); and (2) the individual's perceived actual performance. Evaluation comprises the comparison of these two attributes. The present paper develops a research model for project outcome evaluation designed to examine the effects of the two moderators, goal commitment and project complexity, on the perceived project performance of project participants. It is postulated that: (1) there is a positive monotonic relationship between goal difficulty and performance, but that this is moderated by project complexity; (2) difficult goals lead to higher performance, but that this will happen only when the project participant is committed to the goal; and (3) the transferability of critical success factors to enhance/improve the performance of subsequent projects has to be examined and applied in the light of the effects of these two moderators on project performance.
Application of ZOOM-FFT for scanning-type spectrometer based on digital signal processor

The Fourier transform spectrometer is based on a scanning-type Michelson interferometer with two optical-beams including reference laser and measurement light. The optical spectrum of measurement light can be obtained by colleting the analog signal of measurement light with the sampling time-scale based on interference fringes pulse of reference laser. The optical interferogram signal of the reference laser is converted to pulse signal, and it is subdivided into 16 times. So the sampling rate is constant only depending on frequency of reference laser and irrelative to the scanning-motor velocity. This means the sampling rate of measurement channel signal is on a uniform time-scale. In order to get optical spectrum, the analog signal of measurement channel should be collected and Fourier-transformed. Digital Signal Processor (DSP) TMS320-F2812 is used. Its internal 12-bit Analog-to-Digital Converter (ADC) for measurement channel is triggered by the 16-times pulse signal of reference laser. The DSP is used to process optical interferogram signal with ADC sampling rate up to about 1.5MHz. The optical spectrum of measurement channel signal is processed with 1024 points-Fast Fourier Transform (FFT) method. Then, the ZOOM-FFT is adopted. By digital frequency-shift conversion and low-pass filter, these digital signals are processed with 1024 points-FFT once again to improve the frequency measurement resolution. Finally, the optical spectrum of measurement channel will be displayed on LCD with high frequency-resolution.
Vendor-managed inventory: a review based on dimensions

Vendor-managed inventory (VMI) represents the methodology through which the upstream stage of a supply chain (vendor) takes responsibility for managing the inventories at the downstream stage (customer) based on previously agreed limits. VMI is another method by which supply chains can be managed, and, owing to centralised decision-making and constant information sharing, the benefits are much higher than in traditional supply chain case. However, there exists a lack of research that identifies the dimensions of VMI, benefits of VMI, methods, and levels used in the VMI environment. The focus of this paper is to explore the existing literature on VMI, to categorise it according to the criteria evaluated, and to present a systematic review. In this study, we have classified the review into three categories such as dimension-based, methodology-based, and level-based. From the thorough literature review, we have identified six dimensions of VMI: namely, inventory, transportation, manufacturing, general benefits, coordination/collaboration, and information sharing. In addition, there are, three methodological classifications: modelling, simulation, and case studies. Finally, we will consider the level-based classification. Based on the review, several recommendations that improve the performance of VMI are presented.
RED: A Novel Dataset for Romanian Emotion Detection from Tweets

In Romanian language there are some resources for automatic text comprehension, but for Emotion Detection, not lexicon-based, there are none. To cover this gap, we extracted data from Twitter and created the first dataset containing tweets annotated with five types of emotions: joy, fear, sadness, anger and neutral, with the intent of being used for opinion mining and analysis tasks. In this article we present some features of our novel dataset, and create a benchmark to achieve the first supervised machine learning model for automatic Emotion Detection in Romanian short texts. We investigate the performance of four classical machine learning models: Multinomial Naive Bayes, Logistic Regression, Support Vector Classification and Linear Support Vector Classification. We also investigate more modern approaches like fastText, which makes use of subword information. Lastly, we fine-tune the Romanian BERT for text classification and our experiments show that the BERT-based model has the best performance for the task of Emotion Detection from Romanian tweets. Keywords: Emotion Detection, Twitter, Romanian, Supervised Machine Learning
Frequency response of current modulation induced polarization switching in VCSELs

We present an experimental and rate-equation based theoretical study of the current-driven polarization modulation properties of VCSELs. In such lasers a high-contrast polarization flip is often observed at a particular value of the pump current. When modulating the current around the polarization switching value, we measure the critical modulation amplitude necessary to force synchronized back-and-forward polarization flips, as a function of the modulation frequency. This yields the polarization modulation frequency response. For a proton-implanted VCSEL the shape of the measured response curve is characterized by time constants that are very long compared with the usual time scales of laser dynamics (such as photon and carrier lifetimes), and compatible with the measured thermal relaxation time. Indeed, both the polarization modulation and the thermal frequency response curves show a cut-off frequency of about 90kHz, independent of the particular value of the switching current. In the frequency response curve of an air-post VCSEL one clearly sees remnants of the thermal influence on the switching. However, one cannot say that a thermal cut-off inhibits polarization switching above a certain modulation frequency. Notwithstanding the difference in impact of thermal effects depending on the type of device under study, our results indicate that it is necessary to incorporate a temperature-dependent variable in realistic models describing the dynamical polarization properties of VCSELs.
Knowledge Discovery in Plastic Cards Transactions by Using Data Mining

Today with swift growing of plastic cards industry in the world, variety and volume of data stored in the database is growing strongly, this issue reminds the growing need of banks and financial institutions in applying knowledge discovery processes on value creation services. The original approach of this paper, is step by step implementing process of data mining in real-life transaction of debit cards, with the aim of customer profiling. In this study profiling is applied with two approaches of explorative and predictive analysis. In explorative model SOM and TwoStep clustering techniques are used. Also in predictive model four decision tree techniques are applied, the C5.0, Chi-square Automatics Interaction Detection (CHAID), Quest, classification and regression. Finally, the optimal models details are more analyzed to discover the knowledge in transactions done.
The study of the antecedent factors of organisational commitment for high-tech industries in Taiwan

This research investigates the relationship between leadership style, total quality management and organisational commitment, as well as the strength of their manifest indicator. Based on recent literatures, this research uses structural equation modelling to develop a framework. Using data collected from 376 total quality management participants in high-tech industries, the empirical results indicate a strong and positive relationship between leadership style, total quality management, and organisational commitment. Moreover, the findings suggest that transformational leadership is better than transactional leadership in leadership style. Furthermore, the importance of total quality management implementation followed by continuous improvement, top management role, customer focus and teamwork; and effort commitment is the most factor of organisational commitment. Finally, total quality management mediates the effects of leadership style on organisational commitment.
HIFiRE-1 Boundary-Layer Transition: Ground Test Results and Stability Analysis

The HIFiRE-1 is a 7-degree half-angle circular cone with a 2.5-mm nose radius. A successful HIFiRE-1 flight experiment was carried out in March 2010. Due to an anomaly in the exoatmospheric pointing maneuver, the reentry angle of attack was higher than anticipated (5–15 degrees instead of near zero). A test campaign in the H2K hypersonic wind tunnel at DLR Cologne gathered high-frequency pressure fluctuation data and global heat flux via infrared (IR) thermography at the high angles of attack and Reynolds numbers encountered in the as-flown trajectory. This paper presents analysis of data collected at 0° angle of attack at freestream Reynolds numbers from 5.7 to 10.7e6 /m for 1.6- and 2.5-mm-radius nosetips. The transition onset and end locations derived from IR thermography coincide well with the earliest and largest amplification of pressure fluctuations identified by the fast-response surface-mounted pressure transducers. Stability analysis of the astested conditions was done with the Stability and Transition of Boundary Layers (STABL) software suite. An N-factor of 5.5 correlates well with transition location for the 1.6-mm radius nosetip. For the blunter nosetip, N ≈ 5.2 at transition. The peak pressure-fluctuation frequencies predicted by STABL agree within 8% of those measured.
Motorcyclist's Helmet Wearing Detection Using Image Processing

Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. The helmet is the main safety equipment of motorcyclists but many drivers do not use it. If a motorcyclist is without helmet an accident can be fatal. This paper presented an automatic method for vehicle detection, motorcycles classification on public roads and a system for automatic detection of motorcyclists without helmet. For processing, in first step, we detect vehicles that moving real-time by extracting back ground out from front ground using back subtraction then enhancing it using threshold and mathematical morphology method. In the second step, we classify between motorcycle and other vehicles. Area is applied for feature extraction and neural network is applied for classification. In the final step, Hough transform is applied for detecting a helmet. From the experimental results, the accuracy rates of the motorcycle classification and helmet detection were 98.22% and 77%, respectively.
Data citation and the citation graph

Abstract The citation graph is a computational artifact that is widely used to represent the domain of published literature. It represents connections between published works, such as citations and authorship. Among other things, the graph supports the computation of bibliometric measures such as h-indexes and impact factors. There is now an increasing demand that we should treat the publication of data in the same way that we treat conventional publications. In particular, we should cite data for the same reasons that we cite other publications. In this paper we discuss what is needed for the citation graph to represent data citation. We identify two challenges: to model the evolution of credit appropriately (through references) over time and to model data citation not only to a data set treated as a single object but also to parts of it. We describe an extension of the current citation graph model that addresses these challenges. It is built on two central concepts: citable units and reference subsumption. We discuss how this extension would enable data citation to be represented within the citation graph and how it allows for improvements in current practices for bibliometric computations, both for scientific publications and for data.
ENERGY MANAGEMENT OF FUEL CELL SYSTEM AND SUPERCAPS ELEMENTS

Abstract The use of Fuel Cell and Supercaps as energy elements in transport application is now a reality. Having two power sources on board allows a certain energy management strategy. Defining this strategy some iteration must be made with an accurate model to extract the optimal solution. In order to reduce computation time consumption, a simplified physical fuel cell model is proposed. This model is used in algorithms to compute the two power references of the two sources allowing the minimum hydrogen consumption and maximum braking energy absorption for a tramway following an actual power demand.
Knowledge on the Complementary Feeding of Infants Older than Six Months among Mothers Following Vegetarian and Traditional Diets

Solid foods should be introduced not later than the age of six months, regardless of whether the family adheres to a traditional, vegetarian, or vegan diet. The aim of this study was to compare the knowledge on the complementary feeding of infants older than six months among mothers who adhere to traditional and vegetarian diets and to identify problems that require the assistance of a dietician. A total of 251 mothers of children aged 10–12 months participated in the study. Only 10% of vegetarian mothers declared that they had placed their children on a vegetarian diet, whereas 36 mothers adhered to a lacto-ovo-vegetarian diet during complementary feeding in the first year of life. Mothers adhering to a traditional diet were characterized by lower levels of knowledge (4.1 ± 2.3 points) than vegetarian mothers (5.3 ± 2.1 points). Mothers following a traditional diet were more likely to indicate a higher than recommended number of daily meals (OR = 1.76; Cl: 1.31–1.97, p < 0.001). Significant differences were noted in the respondents’ adherence to the BLW method, which was more readily implemented by vegan (p < 0.05) and lacto-vegetarian (p < 0.05) mothers and was least popular among mothers following a traditional diet (OR = 0.81; CI: 0.66–1.23, p < 0.04). Vegetarian mothers unnecessarily delayed the introduction of gluten and potentially allergizing foods to the children’s diets, sometimes even past the age of 12 months.
Design of Constructing Virtual Gravity for Link Mechanisms

Energy-consuming devices are essential to modern life, but must be made more efficient to meet environmental conservation goals. One of the prime causes of energy loss is gravity. In this paper, the authors propose a framework to design potential fields for link mechanisms to minimize the amount of gravitational potential energy consumed, besides loss to friction and inertia. The framework allows design of customized potential fields such that any object or link mechanism can be moved along specific trajectories by simply adding a small auxiliary force that just overcomes the losses. The authors confirm this theory and the effects on mechanisms by kinematic analysis.
P‐40: Field Emission Properties of 4.5 inch Triode Type Flat Lamp using the Screen Printing Method

A triode type flat lamp (4.5‐in.) using screen printed carbon nanotube emitters was fabricated. The spacer of about 200um between the cathode and gate electrode with a metal mesh was placed by the simple screen printing technique, which does not correspond with method of the past. The buried CNTs were exposed on the surface by the electric field condition without other mechanical surface treatments. A high brightness of 10100 cd / m2 with relatively homogenous emission sites was obtained at the voltage of gate and anode of D.C. bias 280 V and 3KV, respectively. The turn‐on voltage was 180 V and the anode current of 5 mA was extracted at the gate voltage of 275 V. Through accurate alignment of the gate holes and the CNT dots, the gate leakage current was significantly decreased including emitted electrons focusing effect.
Measuring Routine Parameters of Wine by ATR-MIR Spectroscopy

In this paper, common parameters of wine are measured using attenuated total reflectance Fourier transform infrared spectrometer (ATR-FTIR). ATR cell is used which have the advantage of easy filling and cleaning. The parameters include sugar, alcohol, acid,, sugar-free extract, which is routinely measured in the wine quality determination. Commercial wines (n=125) both red and white were analyzed using the ATR-FTIR spectrometer. Reference data were measured based on standard procedure (GB150382006) and performed by technical analyst. Using PLS calibration method samples concentration can be predicted. The accuracy of quantification of main component such as total acidity, sugar, alcohol was excellent, with the measure error low than 1g/L. Some subdivision components are well, that concentration can be predicted in a lower accuracy. Based on the accuracy we obtained, the presented method can be used in winery widely as a fast method for measuring wines content.