Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters

We study the problem of identifying the topics and sentiments and tracking their shifts from social media texts in different geographical regions during emergencies and disasters. We propose a location-based dynamic sentiment-topic model (LDST) which can jointly model topic, sentiment, time and Geolocation information. The experimental results demonstrate that LDST performs very well at discovering topics and sentiments from social media and tracking their shifts in different geographical regions during emergencies and disasters. We will release the data and source code after this work is published.
Robust Control of a Vehicle Steer-by-Wire System Using Adaptive Sliding Mode

This paper presents an adaptive sliding-mode (ASM) control methodology for a vehicle steer-by-wire (SbW) system. First, the SbW system is modeled as a second-order system from the steering motor input voltage to the front-wheel steering angle. For simplicity, the self-aligning torque and friction arising from the tire-to-ground contact are regarded as external disturbance acting on the SbW system. Next, an ASM controller is designed for the SbW system, which can not only cope with the parametric uncertainties in the plant model but also estimate the coefficient of the self-aligning torque effectively. The stability of the ASM control system is proved in the sense of Lyapunov and the guidelines for selecting the control parameters are given. Finally, experiments are carried out for steering control to respectively follow a slalom path and a circular path under various road conditions. It is shown that the proposed ASM controller can achieve stronger robustness against various road conditions leading to significantly smaller tracking errors in comparison with a conventional sliding-mode controller and a linear H∞ controller.
A review of evaporative cooling system concepts for engine thermal management in motor vehicles

The evaporative cooling system concepts proposed over the past century for engine thermal management in automotive applications are examined and critically reviewed. The purposes of this review are to establish the evident system shortcomings and to identify the remaining research questions that need to be addressed to enable this important technology to be adopted by vehicle manufacturers. Initially, the benefits of the evaporative cooling systems are restated in terms of the improved engine efficiency, the reduced carbon dioxide emissions and the improved fuel economy. This is followed by a historical coverage of the proposed concepts dating back to 1918. Possible evaporative cooling concepts are then classified into four distinct classes and critically reviewed. This culminates in an assessment of the available evidence to establish the reasons why no system has yet been approved for serial production commercially. Then, by systematic examination of the critical areas in evaporative cooling systems for application to automotive engine cooling, the remaining research challenges are identified.
Impact of pre-admission depression on mortality following myocardial infarction

Background The prognostic impact of previous depression on myocardial infarction survival remains poorly understood. Aims To examine the association between depression and all-cause mortality following myocardial infarction. Method Using Danish medical registries, we conducted a nationwide population-based cohort study. We included all patients with first-time myocardial infarction (1995–2014) and identified previous depression as either a depression diagnosis or use of antidepressants. We used Cox regression to compute adjusted mortality rate ratios (aMRRs) with 95% confidence intervals. Results We identified 170 771 patients with first-time myocardial infarction. Patients with myocardial infarction and a previous depression diagnosis had higher 19-year mortality risks (87% v. 78%). The overall aMRR was 1.11 (95% CI 1.07–1.15) increasing to 1.22 (95% CI 1.17–1.27) when including use of antidepressants in the depression definition. Conclusions A history of depression was associated with a moderately increased all-cause mortality following myocardial infarction.
Efficient Parallel Random Sampling—Vectorized, Cache-Efficient, and Online

We consider the problem of sampling n numbers from the range { 1,… ,N} without replacement on modern architectures. The main result is a simple divide-and-conquer scheme that makes sequential algorithms more cache efficient and leads to a parallel algorithm running in expected time O(n/p+log p) on p processors, i.e., scales to massively parallel machines even for moderate values of n. The amount of communication between the processors is very small (at most O(log p)) and independent of the sample size. We also discuss modifications needed for load balancing, online sampling, sampling with replacement, Bernoulli sampling, and vectorization on SIMD units or GPUs.
Cell-cell fusion as a mechanism of DNA exchange in cancer

Cell-cell fusion describes the process by which two cells combine their plasma membranes and become a single cell, possessing and retaining certain genetic information from each parent cell. Here, using a Cre-loxP-based method initially developed to investigate extracellular vesicle targeting, we found that cancer cells spontaneously and rapidly deliver DNA to non-cancer cells in vitro via a cell-cell fusion event. The resulting hybrid cells were aneuploid and possessed enhanced clonal diversity and chemoresistance compared to non-hybrid cancer cells. We also observed cell-cell fusion to occur in vivo between melanoma cells and non-cancer cells of both hematopoietic and non-hematopoietic lineages. These findings suggest that cell-cell fusion occurs during the natural progression of cancer and show that this mechanism has the potential to cause massive genomic alterations that are observed in cancer. Furthermore, these findings somewhat contradict recent publications suggesting that the Cre-loxP method measures only extracellular vesicle-mediated intercellular communication.
Just a Piece of Equipment? The Importance of Medical Device Education

The use of medical devices is an increasingly important element of a healthcare professional's role. It is crucial that users receive regular teaching and education to ensure that they are competent in the use of devices. This is particularly relevant in the increasingly litigious society in which we live. This article focuses upon the importance of a medical device education.
MicroRNA Changes in Firefighters

Objectives: Firefighters have elevated cancer incidence and mortality rates. MicroRNAs play prominent roles in carcinogenesis, but have not been previously evaluated in firefighters. Methods: Blood from 52 incumbent and 45 new recruit nonsmoking firefighters was analyzed for microRNA expression, and the results adjusted for age, obesity, ethnicity, and multiple comparisons. Results: Nine microRNAs were identified with at least a 1.5-fold significant difference between groups. All six microRNAs with decreased expression in incumbent firefighters have been reported to have tumor suppressor activity or are associated with cancer survival, and two of the three microRNAs with increased expression in incumbent firefighters have activities consistent with cancer promotion, with the remaining microRNA associated with neurological disease. Conclusion: Incumbent firefighters showed differential microRNA expression compared with new recruits, providing potential mechanisms for increased cancer risk in firefighters.
Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems

Differential evolution (DE) is one of the best evolutionary algorithms (EAs). The effort of improving its performance has received great research attentions, such as adaptive DE (JADE). Based on the analysis on the aspects that may improve the performance of JADE, we introduce a modified JADE version with sorting crossover rate (CR). In JADE, CR values are generated based on mean value and Gaussian distribution. In the proposed algorithm, a smaller CR value is assigned to individual with better fitness value. Therefore, the components of the individuals, which have better fitness values, can appear in the offspring with higher possibility. In addition, the better offspring generated from last iteration are supposed to have better schemes, hence these schemes are preserved in next offspring generation procedure. This modified version is called as JADE algorithm with sorting CR (JADE_sort). The experiments results with several excellent algorithms show the effectiveness of JADE_sort.
On the Complexity of Opinions and Online Discussions

In an increasingly polarized world, demagogues who reduce complexity down to simple arguments based on emotion are gaining in popularity. Are opinions and online discussions falling into demagoguery? In this work, we aim to provide computational tools to investigate this question and, by doing so, explore the nature and complexity of online discussions and their space of opinions, uncovering where each participant lies. More specifically, we present a modeling framework to construct latent representations of opinions in online discussions which are consistent with human judgments, as measured by online voting. If two opinions are close in the resulting latent space of opinions, it is because humans think they are similar. Our framework is theoretically grounded and establishes a surprising connection between opinion and voting models and the sign-rank of matrices. Moreover, it also provides a set of practical algorithms to both estimate the dimensionality of the latent space of opinions and infer where opinions expressed by the participants of an online discussion lie in this space. Experiments on a large dataset from Yahoo! News, Yahoo! Finance, Yahoo! Sports, and the Newsroom app show that many discussions are multisided, reveal a positive correlation between the complexity of a discussion, its linguistic diversity and its level of controversy, and show that our framework may be able to circumvent language nuances such as sarcasm or humor by relying on human judgments instead of textual analysis.
MiSAS: a multi-domain feature-level sentiment analysis system on micro-blog

Big data from micro-blog has been an important access to social groups' psychology, market feedback and so on. Unlike the review corpus which is usually related to the specific object (e.g. a product), the micro-blog content covers the opinion of many domains. It is less useful to extract the fine-grained feature-level opinion target without detect the domain. This paper proposed a systematic feature-level sentiment analysis approach on Micro-blog that recognize data related to the interesting topic automatically. Working with the big micro-blog data we figure out valuable text features to train the opinion targets extraction and sentimental polarity detection models that achieve better multi-domain adaption. We implement the MiSAS system, which crawls micro-blog raw data, outputs opinion targets and orientation summarization on the giving domains, offering valuable analytical tool for practical applications.
Joint mode selection, MCS assignment, resource allocation and power control for D2D communication underlaying cellular networks

Device-to-device (D2D) communication underlaying a cellular infrastructure has been proposed as a means of facilitating rich local services and offloading the base station traffic. However, D2D communication presents a challenge in radio resource management due to the potential interference it may cause to the cellular network. In this paper, the joint optimization problem of D2D mode selection, modulation and coding schemes (MCSs) assignment, radio resources and power allocation is formulated to minimize the overall power consumption under minimum required rate guarantee. The problem is decoupled into two sub-problems which are solved by Lagrangian relaxation and tabu search methods, respectively. Simulation results show its performance superiority over other schemes, especially in the scenarios with high required rate and limited resources.
Subsurface crack detection by spation-temporal gradient method

This paper presents a defect detection method by spatio-temporal gradient analysis over the lamb wave field. The proposed method has an ability to classify the zero order anti-symmetric mode lamb-wave field through the rank of the covariance matrix which is defined by the four-dimensional vector with following components: a vertical displacement, its vertical velocity, and a pair of out-of-plane shearing strains of the surface. The covariance matrix provides the information about defects. Its determinant, therefore, is proposed as the index of inhomogeneity of the object surface. In this study, the computational process in the lamb wave field near the defects is discussed and their physical meanings are investigated through FDTD-simulations and acoustic experiments.
Association between obesity and sleep disorders in postmenopausal women

Objective: To investigate the relationship between obesity and sleep architecture in postmenopausal women. Methods: One hundred seven postmenopausal women from the Ambulatory of Integrative Treatment for Female Sleep Disorders were invited by telephone to participate in this study. Fifty-three completed the study. We included women aged 50 to 70 years, and excluded women on hormone therapy or missing data. The study consisted of two meetings, including a full-night polysomnography. Menopause status was confirmed by amenorrhea for at least 1 year. Anthropometric measurements included: body mass, height, body mass index (BMI), waist circumference, hip circumference, waist-to-hip ratio (WHR), and neck circumference. Participants were allocated into two groups according to BMI: nonobese group (BMI <30 kg/m2) and obese group (BMI ≥30 kg/m2). Results: The obese group had significantly (P < 0.01) increased values of BMI, neck circumference, waist circumference, and hip circumference. WHR was similar between the groups (P = 0.77). Obese participants had significantly increased values of respiratory disturbance index (16.4 vs 9.3 n°/h) and apnea-hypopnea index (14.2 vs 5.6 n°/h). Rapid eye movement sleep latency was positively correlated to body mass (r = P < 0.01), BMI (P < 0.01), and hip circumference (P = 0.01). WHR was negatively correlated to sleep efficiency (P = 0.03). The linear regression model showed that BMI (P < 0.01) and WHR (P < 0.01) were positive predictors of rapid eye movement sleep latency. Conclusion: In postmenopausal women, high BMI and abdominal obesity are sources of sleep disturbances, decreasing deep sleep, and sleep efficiency, while increasing the risk of obstructive sleep apnea.
A low cost tri-band microstrip patch antenna for GPS application

This paper presents a novel design of a tri-band microstrip patch antenna for global positioning system (GPS) receiver. The antenna uses a low cost FR-4 substrate. It employs an open loop resonator (OLR), a split rectangular slot (SRS) and a stub at the non-radiating edge to achieve multi-band response. The design is simple and does not involve stacking of substrates. Simulations are done in Ansys HFSS to study the return loss, radiation pattern and gain of the antenna. The proposed antenna is resonant at GPS frequencies viz. 1.58 GHz (L1 band), 1.208 GHz (L2 band) and 1.129 GHz (L5 band). The −10 dB impedance bandwidth measured in L5, L2 and L1 bands are 1.1231–1.1356 GHz (1.107%), 1.1987–1.2221 GHz (1.603%) and 1.5831–1.5893 GHz (0.394%) respectively. The antenna gain is 4.03 dBi, 5.6 dBi and 2.31 dBi in the three resonant frequencies viz. 1.129 GHz, 1.208 GHz and 1.58 GHz respectively. The antenna is found to have stable radiation pattern. It has a wide beamwidth in the upper hemisphere, which is necessary for GPS signal reception. The antenna is linearly polarized in all the three GPS bands and has an efficiency of 88% in the lower GPS bands. The antenna is fabricated and performance studied by experiments. The simulation results agree reasonably with measurement results.
KNNR:K-nearest neighbour classification based routing protocol for opportunistic networks

Opportunistic Networks (OppNets) are an extension of Mobile Adhoc Networks (MANETs), where no assumption is made regarding the preexistent path between the source and the destination node. Hence, the nodes in OppNets are required to rely upon intermediate nodes for successful message delivery. Therefore, the biggest challenge in OppNets for a carrier node is to make a decision whether the neighbour node will be a good carrier for the message in the future or not. Hence, in this paper a new routing protocol called K-Nearest Neighbour based Routing protocol (KNNR) is proposed which judicially forwards the message through intermediate nodes towards the destination. The proposed protocol initially stores the past behaviour of nodes in a dataset. Whenever a decision has to be made related to an intermediate node, the protocol studies this dataset and finds instances that closely resemble the intermediate node based on their network parameters using K-Nearest Neighhbour (KNN) algorithm. To evaluate the efficiency of the proposed protocol simulation results are compared with the existing routing protocols i.e. Epidemic, HBPR and ProPHET. It was observed that the KNNR protocol efficiently reduces average latency, overhead ratio and average hop count while at the same time increases the message delivery probability.
An evaluation of rust conversion coatings in simulated reinforced concrete pore solutions

The performance of reinforcing steel bars (rebars) coated with two different rust conversion coatings was analysed by means of electrochemical methods. Two exposure conditions were investigated, immersion in a pH 14 solution simulating pores in standard concrete, and immersion in a pH 9 solution simulating pore environments in carbonated concrete. The rebar corrosion potential (Ecorr), the corrosion rate (CR) and the electrochemical impedance (Z) were measured over 3 weeks. None of the products investigated helped to improve the resistance of steel against corrosion. Some parameters even indicated a detrimental action, particularly as the alkalinity of the solutions increased. Therefore, the application of this type of coating cannot be recommended during repair procedures of reinforced concrete structures due to the extremely alkaline environment provided by concrete.
Visualizing time-series data in processlines: design and evaluation of a process enterprise application

In modern process industry, it is often difficult to analyze a manufacture process due to its numerous time-series data. Analysts wish to not only interpret the evolution of data over time in a working procedure, but also examine the changes in the whole production process through time. To meet such analytic requirements, we have developed ProcessLines, an interactive visualization tool for a large amount of time-series data in process industry. The data are displayed in a fisheye timeline. ProcessLines provides good overviews for the whole production process and details for the focused working procedure. A user study using beer industry production data has shown that the tool is effective.
Genetic analysis of rhizomatousness and its relationship with vegetative branching of recombinant inbred lines of Sorghum bicolor × S. propinquum.

PREMISE OF THE STUDY Rhizomes, subterranean stems that grow horizontally, are a storage organ that is highly associated with overwintering and regrowth. This quantitative study aimed to discover genetic determinants of rhizomatousness, an important trait related to perenniality and invasiveness. METHODS A population of 161 individuals of a recombinant inbred line (RIL) derived from morphologically distinct parents, Sorghum bicolor and Sorghum propinquum, which segregates for rhizomatousness, was phenotyped and genetically mapped. KEY RESULTS Seven genomic regions influenced rhizomatousness in this population; four were "consensus" regions that correspond with previously detected quantitative trait loci (QTLs) in an F2 population of the same pedigree and with different levels of vegetative branching. Because rhizomatousness is a plastic trait that is greatly influenced by environment, overlap between regions discovered in the RIL and F2 populations validates the position and effect of QTLs. Correspondence with regions influencing vegetative branching indicates that some genes and biochemical pathways may influence both vegetative branching and rhizomatousness, while genes influencing only one trait may confer divergent aspects of development of these organs. CONCLUSIONS Identifying genes conferring rhizomatousness and understanding their functions may provide opportunities to regulate plant growth for diverse applications. Increasing rhizomatousness may promote the productivity and perenniality of many grasses, especially biomass-dedicated crops, while decreasing rhizomatousness may improve monocarpic grain production and offer means to control many noxious weeds.
System dynamics for knowledge-based decision making

As knowledge has been recognized as a new resource in gaining organizational competitiveness, knowledge management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest system dynamics (SD) for the knowledge-based decision-making. Based on the modelling method of SD, we can translate partial and implicit knowledge resident in an individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and identify the basic cause of it, which facilitates effective decision-making. We compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.
Contractile and electrophysiological properties of pulmonary artery smooth muscle are not altered in TASK‐1 knockout mice

Non technical summary Contraction of the muscle in the walls of blood vessels is controlled by the movement of ions into or out of the muscle cells, through proteins called ion channels. By allowing potassium (K+) to leave the cell, K+‐selective ion channels keep arteries dilated. In the pulmonary artery, which carries blood to the lung for gas exchange, a type of K+ channel called TASK‐1 is thought to play an important role in this regulation, but we observed that the pulmonary arteries from mice that lack the TASK‐1 protein do not display any altered properties compared to wild‐type (normal) mice. We found, however, that the pattern of K+ flux in muscle cells from mouse pulmonary artery is different from that of other species, including human. Our results question the use of mouse as a model for human pulmonary artery.