Miracle-dz/UniFAR-FTUs huggingface dataset:
"Our Grief is Unspeakable": Automatically Measuring the Community Impact of a Tragedy

Social media offer a real-time, unfiltered view of how disasters affect communities. Crisis response, disaster mental health, and — more broadly — public health can benefit from automated analysis of the public’s mental state as exhibited on social media. Our focus is on Twitter data from a community that lost members in a mass shooting and another community—geographically removed from the shooting — that was indirectly exposed. We show that a common approach for understanding emotional response in text: Linguistic Inquiry and Word Count (LIWC) can be substantially improved using machine learning. Starting with tweets flagged by LIWC as containing content related to the issue of death, we devise a categorization scheme for death-related tweets to induce automatic text classification of such content. This improved methodology reveals striking differences in the magnitude and duration of increases in death-related talk between these communities. It also detects subtle shifts in the nature of death-related talk. Our results offer lessons for gauging public response and for developing interventions in the wake of a tragedy.
Source Channel Coding Approach to Generate Tamper Proof Images

: The privacy is a major concern in big data mining approach.Recent works in this field offer algorithms that not only localize the tampering, but also recover the original content in the lost area. The self-restoration problem can be modeled as a source-channel coding problem. The original image is compressed using an efficient source encoder. The output is then channel coded. At the receiver, decoder reveals the encoder output bit stream. The output of the source decoder is then used to replace the content of the tampered area. Watermarking the original images to protect them against tampering has recently attracted an overgrowing interest. The performance is significantly improved in terms of the quality of watermarked image, quality of the restored content, and tolerable tampering rate.
Advances in Terrestrial Mammal Movement Ecology: An Overview

Article history Received: 26 February 2020 Accepted: 31 March 2020 Published Online: 30 April 2020 As a research field which is blooming quickly in recent years, movement ecology has been a worldwide concern and interest. However, movement ecology is so comprehensive and complicated that many articles only focus on few aspects or species. As tracking technologies and methods of movement data analysis develop, the abundance of movement data becomes available for demonstrating more scientific facts about animal movement. This article is aimed to summarize the advances of terrestrial mammal movement ecology in the past years to show its critical and potential research fields, as well as trying to ascertain direction of these advances.
Asymptotic Sum Rate Analysis Over Double Scattering Channels With MMSE Estimation and MRT Precoding

Asymptotic Sum Rate Analysis Over Double Scattering Channels With MMSE Estimation and MRT Precoding Jia Ye This thesis investigates the performance of a multi-user multiple-input singleoutput (MISO) system considering maximum ratio transmission (MRT) downlink precoding. The transmitted signal from the base station (BS) to each user is assumed to experience the double scattering channel. We adopt the minimum-meansquare-error (MMSE) channel estimator for the proposed model. Within this setting, we are interested in deriving tight approximations of the ergodic rate assuming the number of BS antennas, users, and scatterers grow large with the same pace. Under the special multi-keyhole channels, these deterministic equivalents are expressed in more simplified closed-form expressions. The simplified expressions reveal that unlike the standard Rayleigh channel in which the SINR grows as O ( N K ) , the SINR associated with a multi-keyhole channel scales as O ( S K ) . This particularly shows that the reaped gains of the large-scale MIMO over double scattering channels do not linearly increase with the number of antennas and are limited by the number of scatterers. We further show that the derived asymptotic results match the simulation results closely under moderate system dimensions and provide some useful insights into the interplay between N , K and S.
Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for land-surface models

Abstract. The search for a long-term benchmark for land-surface models (LSM) has brought tree-ring data to the attention of the land-surface community as they record growth well before human-induced environmental changes became important. The most comprehensive archive of publicly shared tree-ring data is the International Tree-ring Data Bank (ITRDB). Many records in the ITRDB have, however, been collected almost exclusively with a view on maximizing an environmental target signal (e.g. climate), which has resulted in a biased representation of forested sites and landscapes and thus limits its use as a data source for benchmarking. The aim of this study is to propose advances in land-surface modelling and data processing to enable the land-surface community to re-use the ITRDB data as a much-needed century-long benchmark. Given that tree-ring width is largely explained by phenology, tree size, and climate sensitivity, LSMs that intend to use it as a benchmark should at least simulate tree phenology, size-dependent growth, differently-sized trees within a stand, and responses to changes in temperature, precipitation and atmospheric CO2 con¬cen¬tra¬tions. Yet, even if LSMs were capable of accurately simulating tree-ring width, sampling biases in the ITRDB need to be accounted for. This study proposes two solutions: exploiting the observation that the variation due to size-related growth by far exceeds the variation due to environmental changes; and simulating a size-structured population of trees. Combining the proposed advances in modelling and data processing resulted in four complementary benchmarks - reflecting different usage of the information contained in the ITRDB - each described by two metrics rooted in statistics that quantify the performance of the benchmark. Although the proposed benchmarks are unlikely to be precise, they advance the field by providing a much-needed large-scale constraint on changes in the simulated maximum tree diameter and annual growth increment for the transition from pre-industrial to present-day environmental conditions over the past century. Hence, the proposed benchmarks open up new ways of exploring the ITRDB archive, stimulate the dendrochronological community to refine its sampling protocols to produce new and spatially unbiased tree-ring networks, and help the modelling community to move beyond the short-term benchmarking of LSM.
An Efficient Investigation Of A Wireless Network Using OPNET Modeler In Radio Communication

: With Wireless functionality, we can model both terrestrial and satellite radio Systems. Radio communication is used to implement and administrate the Telecommunication networks. Usually this implementation will takes place at the physical level of the OSI model network. We create a radio network by using modeler and wireless modeling. Also we will observe the quality variations in the received signal. This quality variation arises from radio interference at the accepting node in a powerful system topology. In a wireless system, the obstruction can diminish the sign to commotion proportion (SNR). The SNR in a system can be improved utilizing various sorts of reception apparatuses, for example, directional receiving wires and by expanding the compelling sign quality at the beneficiary. To analyze the performance of the network with jammer device, we will structure a straight forward radio system with a portable jammer hub and two stationary correspondences hubs, and afterward the distinctions in the SNR of the system has been broke down when the stationary hubs utilize a directional receiving wire versus an isotropic reception apparatus. The OPNET Modeler, a network performance analysis software tool is used to create a network model. In this paper we evaluated the receiver BER, received power, and throughput with two antenna patterns. Also a timer controller is designed to compare the situation of the jammer with BER.
Analysis on the Process and Method of Ship Target Recognition

Target recognition belongs to pattern recognition, which refers to the process of differentiating one or a class of special targets from a number of targets by means of artificial or technical means. Ship target recognition is of great significance to the maritime rights and maritime security of a country. According to whether the target image is used in the recognition process, the ship target recognition is divided into two categories based on imaging and non-imaging. The identification process of the two kinds of methods is summarized, and their advantages and disadvantages are briefly analyzed.
Developing a Critical Checklist for Textbook Evaluation

This study has been carried out to develop a critical checklist for global/commercial textbooks which play a crucial role in language teaching/learning. For this aim, a number of items have been developed based on a comprehensive review of the related literature and experts’ opinions. The tentative checklist was administered to the targeted population, yet 326 checklists were deemed appropriate for the analysis. The statistical analyses utilized in this study were exploratory factor analysis and partial confirmatory factor analysis. Prior to the exploratory factor analysis, a correlation analysis reduced the items into 44. Next, the exploratory factor analysis identified ten components. Additionally, six items were excluded from the checklist due to simultaneous factor loading and the finalized checklist was truncated into 38 items. To investigate the possibility for further validation studies, the result of partial confirmatory factor analysis was not statistically significant. Results of this study have the potentials to shed some lights on the ideological aspects of textbook evaluation.
Website Characterization and Evaluation of the Five Star Hotels in Saudi Arabia Using Advanced Content Analysis and eMICA Framework

This study analyzed the features offered by the websites of the premium and luxury 42 five star hotels in Saudi Arabia on six regions namely Riyadh, Jeddah, Makkah, Madinah, Abha and Jazan Regions of Saudi Arabia during 2018-19. The study evaluated the hotel websites under study based on eMICA stages of promotion, provision, and processing and also grouped in seven dimensions determined by the advanced content analysis. The study also provided insight into hotel websites characterization framework for consumer‘s information needs on nine parameters as well. It was established from the findings of the study that Saudi Arabian five star hotel websites were yet to utilize the potentiality of their website as a tool for marketing hotel product and services. The aggregate average value of 9 functionality dimensions in this regard was only 36.2 per cent. This is further highlighted with their poor score in reservation functions (2.4%), website functionality (18.8%) and product information (35.9 %). The study found that the development of the most of the hotel websites we studied fell into the second stage of eMICA model, with the exception of Jazan and Abha regions hotels websites, which were in the first stage of development. The study findings hope to aid web marketing of five star hotels for providing the new age customer digital experience for the e-visitors of Saudi Arabian five star premium and luxury hotels.
Consequences of partial chromosome re-replication in mammalian cells

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Modified atmosphere using propolis in post-harvested ‘Eva’ organic apple

1School of Agriculture, São Paulo State University (UNESP), 2Regional Research Alta Paulista PoleRegional APTA, 3School of Agriculture, São Paulo State University (UNESP), 4School of Agriculture, São Paulo State University (UNESP), 5Federal University of Paraíba, 6Agrarian Services Division, Experimental Farm of Agrarian Sciences, Federal University of Grande Dourados, 7Department of Horticulture, School of Agriculture, São Paulo State University (UNESP),8Department of Animal Production, School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP)
Online Adaptor Grammars with Hybrid Inference

Adaptor grammars are a flexible, powerful formalism for defining nonparametric, unsupervised models of grammar productions. This flexibility comes at the cost of expensive inference. We address the difficulty of inference through an online algorithm which uses a hybrid of Markov chain Monte Carlo and variational inference. We show that this inference strategy improves scalability without sacrificing performance on unsupervised word segmentation and topic modeling tasks.
Isolated DC/DC Converters based on Quasi-Z-Source for Distributed Power Generation

This paper presents a novel step-up dc/dc converter structure projected towards distributed power generation systems. The suggested topologies includes voltage fed quasi Z-source inverter having continuous input current on the primary side, a singlephase isolation transformer, and a Voltage Doubler Rectifier (VDR). To improve the power density of the converter, a three-phase auxiliary ac link (a three-phase inverter and a three-phase isolation transformer) and a three-phase VDR are required to be employed. This paper elaborates the principle of operation for the proposed topologies and analyzes the theoretical results.
FACTORS AFFECTING THE LINKAGE OF THE FISHERIES SUPPLY CHAIN IN BA RIA VUNG TAU PROVINCE, VIETNAM

The purpose of this study is to test the relationship between the premise factors and business results of organizations involved in the fishery supply chain in Ba Ria - Vung Tau province. The research results show that the risk factors in the supply chain affect supply chain linkages, including risk from the supply, market risks, and information risks. More specifically, risks from the supply are negatively related to supplier links. This is consistent with the views of (Frohlich, 2002; Zsidisin, 2003; Zhao et al., 2013) but this also contrasts with the theory of the relationship between environment and organization. If some supply is problematic, people would be ready to look for new suppliers. This may also be the focus of trust and commitment in business relations between organizations in Vietnam. The results of this study indicate that the risk from supply does not usually have any impact on customers. This is in contrast with the research results of (Frohlich, 2002; Zsidisin, 2003; Zhao et al., 2013). Finally, the risks from the environment surprisingly show no impact on supply chain linkages. This result is completely contrary to the research results obtained by (Khan and Burnes, 2007).
Transforms for Speech Recognition

: In speech processing applications the microphone acts as a transducer to convert sound to an electrical signal which is further converted to a sequence of discrete samples for digital processing. In this raw form the signal does not show readily discernable useful features, and therefore mathematical transformations have been developed to obtain further information that clearly demonstrates characteristics that can be attributed to various types of sounds comprising speech. This is fundamental to the front-end design of all speech recognizers. The importance of an effective and efficient transform for the speech signal is of prime importance since weaknesses at this foundation stage will undoubtedly impair the performance of the following stages. This paper discusses transforms for the speech signal with application to Automatic Speech Recognition. It reviews commonly used representations and modifications made to enhance their performance, and other transforms developed for speech processing and recognition.
Novel Ultra-Wide Band Microstrip Patch Antenna design for space research and radio astronomy applications

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper presents the design and performance analysis of an ultra-wide band (UWB) microstrip patch antenna for space research and radio astronomy applications. The proposed antenna design employs Flame Retardant (FR-4) material as substrate having a dielectric constant of 4.4 and thickness of 1.3mm. The copper material is used for patch and ground due to its low resistivity and high mechanical strength having thickness of 0.05mm. The reduction in dimensions of ground has been done to enhance the following antenna parameters impedance bandwidth, gain and directivity. The proposed antenna design has an impedance bandwidth of 5.606 GHz (10.846 GHz to 16.452 GHz) having corresponding resonant frequency at 11.82 GHz. The value of minimal return loss at corresponding resonant frequency is -31.181 dB. The calculated fractional bandwidth of the proposed antenna design is 47.42%. The performance of proposed antenna design has been analyzed in terms of impedance bandwidth (GHz), return loss (dB), gain (dB), directivity (dBi), VSWR (voltage standing wave ratio), HPBW (half power beam width) and impedance (ohms). It has been observed that the proposed gigahertz rectangular antenna design has a value of directivity and gain as 4.605 dBi and 3.973 dB, respectively at the corresponding resonant frequency. The proposed antenna has been simulated and designed using CST microwave Studio 2016. The proposed antenna can be suitably used for fixedsatellite, broadcasting satellite, space research, radiolocation and radio astronomy applications.
Boosting Active Contours for Weld Pool Visual Tracking in Automatic Arc Welding

Detecting the shape of the non-rigid molten metal during welding, so-called weld pool visual sensing, is one of the central tasks for automating arc welding processes. It is challenging due to the strong interference of the high-intensity arc light and spatters as well as the lack of robust approaches to detect and represent the shape of the nonrigid weld pool. We propose a solution using active contours including an prior for the weld pool boundary composition. Also, we apply Adaboost to select a small set of features that captures the relevant information. The proposed method is applied to weld pool tracking and the presented results verified its feasibility.
The fossil record of camelids demonstrates a late divergence between Bactrian camel and dromedary

A new compilation of the Old World fossil record of Camelidae and a recent phylogenetic analysis allow a new assessment of the timing of the clade’s diversification. Using a recent implementation of the fossilized birth-death process, we show that the divergence between Bactrian camel and dromedary has a peak probability density around 1 Ma and probably occurred less than 2 million years ago. These dates are much younger than molecular estimates, which place the divergence between the dromedary and the Bactrian camel between 4 and 8 million years ago. Calibration problems in molecular dating seem to explain much of this difference.
Image Retrieval Using HSV-HDWT Hybrid Transformation Domain

: With the development of the Internet, and the availability of image capturing devices such as digital cameras, image scanners, the size of digital image collection is increasing rapidly. Efficient image searching, browsing and retrieval tools are required by users from various domains, including remote sensing, fashion, crime prevention, publishing, medicine, architecture, etc. For this purpose, many general purpose image retrieval systems have been developed. In CBIR, images are indexed by their visual content. The choice of features plays an important role in image retrieval. Some of the features used are color, texture and shape. Combination of these features provides better performance than single feature. Here we are extracting color and texture features with the proposed method consists of HMMD (Hue Min Max Difference) color plane and HDWT (Hadamard Discrete Wavelet Transform) techniques. It is proved in research work that HMMD HDWT reduced the size of feature vectors, storage space and gives high performance than intensity-Haar, RGB-Haar and RGB-HDWT. Further, HSV color space model will be used to improve the feature extraction and improve the precision. At the end, results are presented to show the efficacy of the proposed method.
Distribution and Trend Analysis of COVID-19 in India: Geospatial Approach

COVID-19 Coronavirus is now one of the most contagious diseases of the recently discovered and spread across the China in 2019 and has received global attention. In most COVID-19-infected individuals, respiratory symptoms should be mild to moderate and improve without the need for medical care. The risk of serious disease is higher for senior citizens and people with serious health problems, such as heart disease, diabetes, severe respiratory disease, and cancer. The World Health Organization (WHO) has formally declared the outbreak of COVID-19 to be a global pandemic. As on 11 April 2020 in India the largest number of persons testing positive for COVID-19 since the outbreak earlier month with samples of people, mostly contacts of already confirmed patients, rendering positive. In India total confirmed cases 7364, 633 are cured/discharged, with 240 deaths had been reported by the Ministry of Health and Family Welfare Government of India. The aim of the research is to analyze the spatial distribution of COVID-19 and its trends with the help of GIS software. At this time, there are no precise antibiotics or treatment options for COVID-19. Besides, several ongoing clinical studies are assessing effective treatments. The best way to protect and sluggish transmission should be well advised about the current COVID-19 virus, the disease it triggers and also how it continues to spread. Therefore, monitoring active ties using GIS spatial analysis is very important to control such as a COVID-19 virus spreading problem. Article history Received: 10 April 2020 Revised: 12 April 2020 Accepted: 14 April 2020
Does financing constraints affect firms' R&D? —Evidence from Chinese listed firms

R&D investments of enterprises require long-term and sustained support of large amounts of capital. So the access to external financing resources is a key factor affecting R&D investments. This paper discusses the theoretical mechanism of the impact of financial constraints on R&D expenses. Then the panel data of 2095 A-share listed companies in China from 2012 to 2017 is used as a sample for empirical test of the impact of financial constraints on R&D based on the fixed-effect model. The results show that financing constraints have an inhibitory effect on R&D investments of enterprises. Additionally, for non-state-owned enterprises, the impact of financing constraints on R&D expenses is very significant while the impact of financial constraints is not obvious for state-owned enterprises.