Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting and Geocoding Locations in Social Media Posts: A Comparative Analysis

Geo-social media have become an established data source for spatial analysis of geographic and social processes in various fields. However, only a small share of geo-social media data are explicitly georeferenced, which often compromises the reliability of the analysis results by excluding large volumes of data from the analysis. To increase the number of georeferenced tweets, inferred locations can be extracted from the texts of social media posts. We propose a customized workflow for location extraction from tweets and subsequent geocoding. We compare the results of two methods: DBpedia Spotlight (using linked Wikipedia entities), and spaCy combined with the geocoding methods of OpenStreetMap Nominatim. The results suggest that the workflow using spaCy and Nominatim identifies more locations than DBpedia Spotlight. For 50,616 tweets posted within California, USA, the granularity of the extracted locations is reasonable. However, several directions for future research were identified, including improved semantic analysis, the creation of a cascading workflow, and the need to integrate different data sources in order to increase reliability and spatial accuracy.
In vitro cytokine expression analysis by droplet microfluidics

Droplet microfluidics provides a miniaturized platform to conduct biological assays. We previously developed a droplet microfluidic chip assay for screening cancer cells against chemical drugs and chimeric antigen receptor T (CAR-T) cells, respectively. In this study, we investigated chip application on a cytokine expression assay using MCF7 breast cancer reporter cells engineered by fusing green fluorescent protein (GFP) to the C-terminus of endogenous interleukin-6 (IL6) gene. Combined tumor necrosis factor α (TNFα) treatment and serum-free medium starvation stimulated IL6-GFP expression and enhanced GFP fluorescence. Our data showed that on-chip assay recapitulates the cellular response in vitro, although absolute quantification of IL6 induction could not be accomplished. The demonstration of multi-timepoint IL6 expression analysis paves the way for our future study on tumor response to immune attack via cytokine signaling.
Approximate two-body generating Hamiltonian for the particle-hole Pfaffian wave function

We present two 2-body Hamiltonians that approximate the exact PH-Pfaffian wavefunction with their ground states for all the system sizes where this wavefunction has been numerically constructed to date. The approximate wavefunctions have high overlap with the original and reproduce well the low-lying entanglement spectrum and structure factor. The approximate generating Hamiltonians are obtained by an optimisation procedure where three to four pseudopotentials are varied in the neighbourhood of second Landau level Coulomb interaction or of a non-interacting model. They belong to a finite region in the variational space of Hamiltonians where each point approximately generates the PH-Pfaffian. We diagonalize the identified Hamiltonians for up to 20 electrons and find that for them the PH-Pfaffian shift appears energetically more favorable. Possibility to interpret the data in terms of composite fermions is discussed.
Control bandwidth and transient response of buck converters

A special requirement of the voltage regulator module (VRM) is fast transient response with tight output voltage tolerance. This paper investigates the relationship between the control bandwidth and the transient response in buck converters in both voltage and current mode controls. A critical bandwidth value is discovered, beyond which pushing the bandwidth can no longer reduce the output voltage spike during the transient. This critical bandwidth is determined by the characteristics of the output filter bulk capacitor. In order to reduce the size and improve the transient response of the VRM, better capacitors with low equivalent series resistance (ESR) show that high control bandwidth and high switching frequency are the trends for new designs. Simulation and experimental results prove the theoretical analysis, and a design guideline is proposed for the VRM.
Distributed neural dynamics algorithms for optimization of large steel structures

Optimization of large structures consisting of thousands of members subjected to the highly non­ linear constraints of the actual commonly used design codes, such as the American Institute of Steel Construction (AISC), Allowable Stress Design (ASD), or Load and Resistance Factor Design (LRFD) specifications (AISC 1989, 1994), requires high-performance computing resources. We have previously developed parallel optimi­ zation algorithms on shared memory multiprocessors where a few powerful processors are connected to a single shared memory. In contrast, in a distributed memory machine, a relatively large number of microprocessors are connected to their own locally distributed memories without globally shared memory. In this article, we present distributed nonlinear neural dynamics algorithms for discrete optimization of large steel structures. The algo­ rithms are implemented on a recently introduced distributed memory machine, the CRAY T3D, and applied to the minimum weight design of three large space steel structures ranging in size from 1,310 to 8,904 members. The stability, convergence, and efficiency of the algorithms are demonstrated through examples. For an 8,904­ member structure, a high parallel processing efficiency of 94% is achieved using a 32-processor configuration.
Hybrid superconducting heterostructures with magnetic interlayers

Electron transport processes in oxide superconducting heterostructures with epitaxially grown magnetic thin-film interlayers, in which the interaction of superconducting correlations and magnetic ordering occurs due to superconducting and magnetic proximity effects, have been studied experimentally. Hybrid mesa-heterostructures were prepared from thin-film bottom cuprate superconductor (S), magnetic (M) interlayer made of manganite or an antiferromagnetic cuprate, and the upper electrode made from an ordinary superconductor. When the cuprate antiferromagnetic material was replaced by a ferromagnetic manganite interlayer, the superconducting current was suppressed, although the thin magnetic film was several times thinner, 5 nm, and the temperature was lowered to 0.3 K. At low temperatures dependences of differential resistance vs. voltage for mesa-heterostructures with manganite interlayer featured mini-gap low-energy states.
More Efficient Secure Matrix Multiplication for Unbalanced Recommender Systems

With recent advances in homomorphic encryption (HE), it becomes feasible to run non-interactive machine learning (ML) algorithms on encrypted data without decryption. In this work, we propose novel encoding methods to pack matrix in a compact way and more efficient methods to perform matrix multiplication on homomorphically encrypted data, leading to a speed boost of <inline-formula><tex-math notation="LaTeX">$1.5\times - 20\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>×</mml:mo><mml:mo>-</mml:mo><mml:mn>20</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="huang-ieq1-3139318.gif"/></alternatives></inline-formula> for slim rectangular matrix multiplication compared with state-of-the-art. Moreover, we integrate our optimized secure matrix arithmetic with the MPI distributed computing framework, achieving scalable parallel secure matrix computation. Equipped with the optimized matrix multiplication, we propose <italic>uSCORE</italic>, a privacy-preserving cross-domain recommendation system for the unbalanced scenario, where a big data owner provides recommendation as a service to a client who has less data and computation power. Our design delegates most of the computation to the service provider, and has a low communication cost, which previous works failed to achieve. For a client who has 16 million user-item pairs to update, it only needs about 3 minutes (in the LAN setting) to prepare the encrypted data. The server can finish the update process on the encrypted data in less than half an hour, effectively reducing the client's test error from 0.72 to 0.62.
Reactive Impedance Surface-Loaded Wideband Wide-scanning Phased Array in Triangular Lattice

A phased array loaded with a reactive impedance surface (RIS) is proposed for wideband wide-scanning performance. The mushroom-like RIS structure, etched on the same printed circuit board (PCB) of the antenna, is introduced as a superstrate over the antenna aperture. The reactance of the RIS structure compensates for the scan impedance variation of the antenna during the beam scanning, explained by the equivalent transmission-line model. A superior scanning performance in all azimuth planes is achieved, and the scan blindness in the H-plane is alleviated, especially. The total compact design is capable of operating over a 2.3:1 (6 GHz-14 GHz) bandwidth in broadside and over a 1.8:1 bandwidth in ±60° E-plane, ±70° D-plane, and ±65° H-plane scanning. The array is implemented in a triangular lattice, and edge elements in the E-plane are connected to metal walls for edge effect elimination. A 45-element (5×9) array prototype is fabricated and measured. Active reflection coefficients are calculated, and scanning patterns are synthesized.
Evaluating the Accuracy of Spot Speed Data from Global Positioning Systems for Estimating Truck Travel Speed

A number of trucking companies use Global Positioning System (GPS) devices for fleet management. Data extracted from these devices can provide valuable traffic information such as spot (instantaneous) speeds and vehicle trajectory. However, the accuracy of GPS spot speeds has not been fully explored, and there is concern about their use for estimating truck travel speed. This concern was addressed by initially comparing GPS spot speeds with speeds estimated from dual-loop detectors. A simple speed estimation method based on GPS spot speeds was devised to estimate link travel speed, and that method was compared with space mean speed estimation based on GPS vehicle location and time data. The analysis demonstrated that aggregated GPS spot speeds generally matched loop detector speeds and captured travel conditions over time and space. Speed estimation based on GPS spot speeds was sufficiently accurate in comparison with space mean speeds, with a mean absolute difference of less than 6%. It is concluded that GPS spot speed data provide an alternative for measuring freight corridor performance and truck travel characteristics.
Sliding Mode Control for a DC Motor System with Dead-Zone

Due to the simple structure of DC motors, the natural decoupling between torque and speed, and its low cost the DC motors have been widely used in electromechanical systems, the paper deals with the experimental method of DC motor Coulomb friction identification that caused the dead nonlinear zone and proposed a nonlinear model of the DC motor, then a sliding mode strategy is developed to control the DC motor in high and low speed for bidirectional operation, The experimental implementation using Dspace 1104 demonstrate that the proposed sliding mode control can achieve favorable tracking performance against non-linearities for a DC motor.
Evaluation of the effectiveness of ADAS in reducing multi-vehicle collisions

The use of new telecommunication technologies represents an important factor to improve road safety. In such context, simulations have been carried out in order to estimate the effectiveness of the Advanced Driver Assistance Systems (ADAS) on board of heavy vehicles. Specifically a general framework for safety evaluation of Adaptive Cruise Control (ACC) and Cooperative ACC (CACC) in rear-end collisions is described. Considering probabilistic distributions for reaction time, tyre performance, braking deceleration and vehicle time gaps, various Monte Carlo simulations were carried out for different values of traffic speeds and pavement conditions, so as to calculate the probability of multi-vehicle collision.
HUMAN RESOURCE MANAGEMENT PRACTICES AND ITS IMPACT ON EMPLOYEE ENGAGEMENT AND PERFORMANCE IN AN ORGANIZATION A STUDY ON LABOUR FORCE IN MALAYSIA

This research study is to investigate the Human Resource Management Practices (HRM) and its impact on employee engagement and performance in an organization. There are 4 variables that impact on employee engagement and performance which are (learning culture), (work empowerment), (reward and recognition) and (supervisor support) in an organization. The main objective of this research study is to explore the understanding towards the human resource management practices. The organization should be very friendly and supportive employees to create a strong bond between the employees and supervisor develop business strategies. Employee’s engagement and performance has come up with a new method to human resource management practices to stay competitively and effectively to improve performance towards the employees. In order to investigate the relationship between HRM practices and employee engagement and performance, I was designed a questionnaire and distribute the questionnaire to 150 respondents. The questions were stated in the questionnaire are from the previous researcher was done for the similar topic. The data was calculated using the SPSS statistics and excel is to found there is a significant relationship between the independent and independents variable. Also using regression analysis to analyse the result. The findings result indicate that there is a relationship among all independent variables which are learning culture, work empowerment, rewards and recognition and supervisor support have significant impact on employee’s engagement and performance. In conclusion, analysed that HRM practices have an impact on the employee work engagement and performance. The future researcher should study that the employers need to develop proper and well established HRM policies and regulations in order to success in huge work engagement and performance level among the employees.
Design of total failure mode and effects analysis programme

Failure prevention is recognised as one of the major enablers of attaining continuous quality improvement in total quality management (TQM) projects. Theoreticians have been propagating the employability of failure mode and effects analysis (FMEA) as the technique for identifying and rectifying failures in achieving continuous quality improvement. However, FMEA does not facilitate holistic failure prevention and suffers from certain deficiencies. Hence a modified and improved technique named as total failure mode and effects analysis (TFMEA) has been proposed in this paper. Its design details, implementation procedure and practicality are presented in the paper. The article is concluded by suggesting that future researchers can work towards developing change management strategies for successfully implementing TFMEA in organisations.
Identification as an Indicator of Social Entropy Under Globalization: Ukrainian Realities and International Context

The purpose of the article is to show modern trends in identification in the context of globalization and the specific conditions of political and economic systems, to indicate ways of influencing their formation, to change the value paradigm of identification associated with harmonious human relations. А hypothesis is that modern identification in Ukraine does not correspond to the liberal-democratic tradition and will continue to generate conflict. The existing identification structure should be used to reorient individuals and groups to effective communication within organizations, which will contribute to the political stability and security of the state. The following approaches and research methods have been used as tools to achieve this purpose: synergetic method; the reflective method; the dialectical method; a comparative method; structural-systemic method; synthesis method. The article covers the following issues: Analysis of identification models; Features of the identification mechanism in post-soviet realities; Modern synergetic model of identification in Ukraine; Peculiarities of culture formation in the conditions of digital and socio-cultural globalization; A new approach to identification as a factor of political stability and security. The authors made the following conclusions: The “ethnic model” of identification turns into a strange attractor, resulting in the Ruelle-Takens scenario. According to the theory of synergetics, this scenario became possible after three bifurcations in the political and economic system of Ukraine over the past 29 years. The “turquoise paradigm” elements should be taken as a basis for model of national identity.
Can Education Subsidies stop School Drop-outs? An evaluation of Education Maintenance Allowances in England

This paper evaluates whether a means tested grants paid to secondary students are an effective way of reducing the proportion of school drop-outs. We look at this problem using matching techniques on a pilot study carried out in England during 1999 and 2000 using a specially designed dataset that ensures that valid comparisons between our pilot and control areas are made. The impact of the subsidy is quite substantial with initial participation rates (at age 16) being around 4.5 percentage points higher. Full-time participation rates one year later are found to have increased by around 6.4 percentage points which is largely due to the EMA having a significant effect on retention in post compulsory education, particularly for boys. These effects vary by eligibility group with those receiving the full payment having the largest initial increase in participation, whilst the effects for those who are partially eligible are only significantly different from the control group in the second year of the program. There is some evidence that participation effect is stronger for boys, especially in the second year, and that the policy goes some way to reducing the gap in drop-out rates between boys and girls. It is also clear that the policy has the largest impact on children from the poorest socio-economic background.
Which Factors Drive Consumer Decisions during Milk Purchase? New Individuals’ Profiles Considering Fresh Pasteurized and UHT Treated Milk

The cow’s milk market is going through a critical period characterised by a continuous contraction in consumption as a consequence of the lack of competitiveness on the market of the conventional product (commodity) versus numerous specialties. This paper aimed to define the profiles of milk consumers in terms of individual preferences (assessed using the best-worst scaling methodology) and socio-demographic features. A survey was conducted in several stores of large-scale retail, convenience stores, and open-air markets distributed in north-west Italy to collect data from 1216 respondents. For milk shopper purchasing habits, two consumer groups were defined and compared in terms of preferences: the fresh pasteurized milk consumer (FPc) (56% of the total sample) and the ultra-high temperature treated milk consumer (UHTc) (35%). A series of two-ways multivariate analysis of variance (MANOVA) were conducted to assess the effect of individuals’ socio-demographic characteristics and the type of milk chosen on the consumer preferences, simultaneously. Significant differences in milk purchasing habits and preferences emerged when comparing the two consumer groups (UHTc and FPc). Empirical evidence of the study supported the starting hypothesis, suggesting the significance or relevance of the consumer socio-demographic characteristic, as well as their interaction effect with the type of milk on the level of importance given to the considered milk quality attributes. On the contrary, the gender results were not significant for the milk preferences definition. The assessment of consumer preferences, associated with the individuals’ socio-demographic characteristics could have important implications for outlining more effective marketing strategies based on a more targeted communication (i.e., related to the sustainability dimension of the local product, nutritional value and brand), leading the consumer back to the commodity rediscovery concerning individuals’ features and habits.
Enforcing Session Integrity in the World "Wild" Web

Over the last years, client-side attacks against web sessions covered a relevant subset of web security incidents. Existing solutions proposed in the literature and by web standards, though interesting, typically address only specific classes of attacks and thus fall short of providing robust foundations to reason on web authentication security. In this thesis we provide such foundations by introducing a novel notion of web session integrity, which allows to capture many existing attacks and spot some new ones. We present FF, a formal model of a security-enhanced browser that provides a complete and provably sound enforcement of web session integrity. Our theory serves as a basis for the development of SessInt, a client-side solution, implemented as a Google Chrome extension, which provides a level of security very close to FF, while keeping an eye at usability and user experience.
Identification and characterization of 19 predicted Myb-family DNA binding proteins in Magnaporthe oryzae concerning growth, conidiation, and pathogenicity

Genes encoding for proteins containing the DNA binding Myb domain have been suggested to be important in regulating development and stress response in eukaryotes, including fungi. Magnaporthe oryzae (teleomorph Pyricularia oryzae) is considered the most destructive pathogen of rice. We screen the M. oryzae genome for all genes encoding proteins containing Myb domains since these genes could be essential during pathogenesis. We found 19 genes Myb1-19. Only a few have previously been investigated, and only one has proven to be involved in pathogenesis. We tried to delete the other 18 genes and succeeded with all except 6, five of which could be essential. RT-qPCR showed that all 19 genes are expressed during pathogenesis, although at different levels and with different expression profiles. To our surprise, only deletions of the genes encoding proteins MoMyb2, MoMyb13, and MoMyb15 showed growth, conidiation, and infection phenotypes, indicating that they are essential on their own during infection. This lack of phenotypes for the other mutants surprised us, and we extended the analysis to look for expression co-regulation and found 5 co-regulated groups of predicted proteins with Myb-domains. We point to likely compensatory regulations of the other Myb-family genes hiding the effect of many deletions. Further studies of the Myb-family genes are thus of interest since revealing the functions of these genes with a possible effect on pathogenicity since these could be targets for future measures to control M. oryzae in rice.