Miracle-dz/UniFAR-FTUs huggingface dataset:
A Literature Review of Linguistic Research in Public Service Announcements

Unlike commercial advertisements, public service announcements (PSAs) are non-profit in nature and take the important social responsibility of providing moral and ethical education through the different channels of media. In recent years, linguistic studies of PSAs have become popular among scholars. In order to explore the trend of linguistic research on PSAs, this paper searched 34 Chinese pieces of literature on China National Knowledge Internet (CNKI), using “PSAs” and “linguistics” as keywords, finding that most of these scholars have explored the language of PSAs from the perspective of pragmatics, either comprehensively or in-depth, and the related research directions are becoming more and more innovative, showing a new trend of integrating different disciplines.
Oculomotor Alignment and Visual Contrast Thresholds during Separate and Simultaneous Lateral and Vertical Whole-Body Vibrations (5 Hz, 1.2 ms−2)

This paper concerns the hypothesis that whole-body vibrations transmitted through the seat impair oculomotor alignment and degrade spatial retinal resolution. The decrement was assumed to increase gradually from single-axis lateral via single-axis vertical and dual-axis linear to dual-axis circular motions. 14 men and 6 women (19–26 yrs,) with good binocular vision took part in two experimental sessions where either fixation disparity or contrast threshold for vertically and horizontally oriented test patterns were determined during 5 conditions. The latter comprised a control (az = ay = 0) and 4 conditions where 5 Hz sinusoidal vibrations of 1.2 ms−2 r.m.s. were applied separately, either vertically or laterally or simultaneously in both directions, once without and once with a phase shift of 90° thus causing dual-axis linear or circular motions. The variability of vertical fixation disparity and the contrast thresholds for horizontal gratings increased whenever the subjects were exposed to vertical motions (alone or combined with lateral motions). The results indicate an increased difficulty to recognize properly characters and graphic patterns that contain horizontal lines. The greater difficulty for binocular alignment may eventually cause asthenopic complaints.
DEVELOPING A MODEL OF WORK PERFORMANCE SYSTEM AND INSTITUTIONAL PERFORMANCE FOR STRATEGIC HUMAN RESOURCE MANAGEMENT IN THE MINISTRY OF EDUCATION, OMAN

This study investigates the relationship between work performance system, which includes staffing, training, involvement, compensation, performance appraisal, caring, and institutional performance among institutions of higher learning in the Sultanate of Oman. The research is explanatory in nature in which the sample consists of 531 general managers, assistant general managers and other high ranking administrators from the Ministry of Education of Oman. An adapted questionnaire was used for data collection and it contained 88 items purposely constructed to assess work performance system, mediator variables and institutional performance. Hypothesized relationships between work performance system, institutional performance and the mediators were then tested by using Structural Equation Modeling with AMOS. Results of the analysis revealed that work performance system is significantly and positively related to institutional performance. Moreover, the results also showed that out of five variables, four played a significant role in mediating between work performance systems (WPS) and institutional performance (IP). This study found that work performance system affects institutional performance in two different ways, one through concern for customers (CC) and service performance (SP), and the other through concern for employees (CE) and helping behavior of employees (HP). Customers’ knowledge (CK) was also found to indirectly affect institutional performance through its impact on service performance. Therefore, the mediation model of the present study can be used to holistically comprehend how strategic human resource management could be implemented in enhancing human resource management in Oman. The model derived from this study can be used for enhancing institutional performance in the context of strategic human resource management.
Drivers and Effects of Patterns in Innovation Activities

We explore firm innovation activities that go beyond internal R&D activities. Our broader conceptualization of innovation activities also includes investments into new equipment enabling innovative products and services as well as investments primarily directed at the market/client interface. We argue conceptually that complementary as well as substitutive relationships can be envisioned between these elements of firm’s innovation activities. We test these relationships for a broad sample of more than 4,600 firms in Germany by applying latent class cluster estimation techniques. We identify actual innovation patterns based on these estimations. In a subsequent step of the analysis we relate these patterns to innovation success to derive best practices. These patterns should allow us to investigate interrelationships between different forms of innovation expenditures which could lead to the derivation of weights within the COINVEST macro framework.
Design of a GSM Based Electronic Voting Machine with Voter Tracking

This paper presents the design of a GSM based electronic voting machine with voter tracking. The design presented here follows a GSM based approach to send the polling results to a base station via mobile network. Infrared sensors have been used for tracking the information regarding the voters. After the voting process has been over, the results are sent to the base station for various analyses and declaring the verdict. This system is more secured and chances of tampering the results are reduced. The simulation of the system is done on Proteus Professional Software v8.0. The design presented in this paper is more secured and appropriate according to modern day requirements.
Reliability and methodological concerns of vertical drop jumping and sidestep cutting tasks: implications for ACL injury risk screening

250 words) The purpose of the study was to assess the within-session and between-session reliability of knee kinematics and kinetics in a vertical drop jump task among elite female handball and football athletes. Specifically, we aimed to quantify the within-session waveform consistency and between-session consistency of the subject ranking for a variety of knee kinematics and kinetics. Forty-one elite female handball and football (soccer) athletes were tested in two sessions. The reliability of three-dimensional knee biomechanical measurements was quantified by the intraclass correlation, Spearman’s rank correlation, and typical error. All the selected discrete variables achieved excellent within-session reliability (ICC > 0.87). The typical error of valgus angles, internal rotation angles, and internal rotation moment was constant throughout the whole stance phase. For between-session reliability, the selected discrete variables achieved good to excellent reliability (ICC > 0.69), except peak internal rotation moment (ICC = 0.40). All between-session rank correlation coefficients ranged from 0.56 to 0.90. Most of the discrete variables achieved good to excellent reliability in both within-session and between-session analysis. Moreover, moderate to strong between-session consistency of subject rankings was found, implying that the measurements assessed during the vertical drop jump demonstrate sufficient reliability to be used in both single-session and multiple-session studies.
Relationship between Lung and Brain Injury in COVID-19 Patients: A Hyperpolarized 129Xe-MRI-based 8-Month Follow-Up

Although the lungs are the primary organ involved, increasing evidence supports the neuroinvasive potential of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study investigates the potential relationship between coronavirus disease (COVID-19)-related deterioration of brain structure and the degree of damage to lung function. Nine COVID-19 patients were recruited in critical condition from Jin Yin-tan Hospital (Wuhan, China) who had been discharged between 4 February and 27 February 2020. The demographic, clinical, treatment, and laboratory data were extracted from the electronic medical records. All patients underwent chest CT imaging, 129Xe gas lung MRI, and 1H brain MRI. Four of the patients were followed up for 8 months. After nearly 12 months of recovery, we found no significant difference in lung ventilation defect percentage (VDP) between the COVID-19 group and the healthy group (3.8 ± 2.1% versus 3.7 ± 2.2%) using 129Xe MRI, and several lung-function-related parameters—such as gas–blood exchange time (T)—showed improvement (42.2 ms versus 32.5 ms). Combined with 1H brain MRI, we found that the change in gray matter volume (GMV) was strongly related to the degree of pulmonary function recovery—the greater the increase in GMV, the higher degree of pulmonary function damage.
Off-the-shelf Echelle Spectroscopy: Two Devices on the Test Block

Today, various Echelle spectrographs for small telescopes are available on the market. These instruments are ready-to-use, including professional data reduction chains. Manufacturers claim that their compact instruments can deliver professionally usable data for very low prices. This paper presents extensive tests of the two most popular small-scale Echelle spectrographs for telescopes in the 1 m domain with a focus on radial velocity accuracy.
Enhanced Spatial Attention Graph for Motion Planning in Crowded, Partially Observable Environments

Collision-free navigation while moving amongst static and dynamic obstacles with a limited sensor range is still a great challenge for modern mobile robots. Therefore, the ability to avoid collisions with obstacles in crowded, partially observable environments is one of the most important indicators to measure the navigation performance of a mobile robot. In this paper, we propose a novel deep reinforcement learning architecture that combines a spatial graph and attention rea-soning to tackle this problem. We take the relative positions and velocities of observed humans as nodes of the spatial graph and robot-human pairs as nodes of the attention graph to capture the spatial relations between the robot and the humans. In this way, our approach enhances the modeling of the relationship between the moving robot, static obstacles, and the people in the surrounding. As a result, our proposed navigation framework significantly outperforms state-of-the-art approaches [1], [2] in crowded scenarios when the robot has only a limited sensor range in terms of a reduced collision rate. Furthermore, we realize a seriously decreased training time by applying parallel Double Deep Q-Learning.
Base‐band training of carrier leakage canceller in 5.8‐GHz full‐duplex transceivers

This article introduces a training technique suitable for an active analog carrier leakage canceller, based on base‐band signal processing. The proposed training approach leads to the optimum canceller parameters by observing at base‐band the magnitude of a pilot signal amplitude‐modulating the carrier, which is generated by the base‐band processor in the transmitter and received due the leakage through the receiver chain.
Dynamic Garment Simulation based on Hybrid Bounding Volume Hierarchy

Abstract In order to solve the computing speed and efficiency problem of existing dynamic clothing simulation, this paper presents a dynamic garment simulation based on a hybrid bounding volume hierarchy. It firstly uses MCASG graph theory to do the primary segmentation for a given three-dimensional human body model. And then it applies K-means cluster to do the secondary segmentation to collect the human body’s upper arms, lower arms, upper legs, lower legs, trunk, hip and woman’s chest as the elementary units of dynamic clothing simulation. According to different shapes of these elementary units, it chooses the closest and most efficient hybrid bounding box to specify these units, such as cylinder bounding box and elliptic cylinder bounding box. During the process of constructing these bounding boxes, it uses the least squares method and slices of the human body to get the related parameters. This approach makes it possible to use the least amount of bounding boxes to create close collision detection regions for the appearance of the human body. A spring-mass model based on a triangular mesh of the clothing model is finally constructed for dynamic simulation. The simulation result shows the feasibility and superiority of the method described.
Virgin Olive Oil, A Rich Source of Functional Bioactive Compounds in the Promotion of Human Health: An Overview

The prevention of pathologies by diet management is an important public health challenge. The Mediterranean diet (Med diet) is considered one of the healthiest dietary patterns. According to current scientific research, this dietary pattern is linked to a decreased prevalence and incidence of various chronic diseases, including cardiovascular disease, diabetes, cancer, and age-related cognitive decline, as well as a lower overall mortality rate. In the Mediterranean diet, a high consumption of Virgin Olive Oil (VOO), fruit, nuts, vegetables, and grains is linked to a decreased incidence of many diseases and a longer life expectancy. According to numerous studies, VOO is the major food responsible for the health and nutritional benefits of the Mediterranean diet. VOO chemical compounds have been shown in vitro and in vivo investigations to have potentially favorable health benefits as a result of their biological activities. VOO composition has been linked to a variety of biological activities, including antioxidant, anti-inflammatory, anti-diabetic, anti-cancer, and antiviral characteristics. As a result, increasing attention is being paid to the composition of VOO and the identification of its biologically active components. Because of their antioxidant, anti-inflammatory, and anti-thrombotic properties, phytochemicals, particularly phenolic compounds, have health-promoting effects, especially on cardiovascular and metabolic illnesses. These characteristics are even more important in light of the COVID-19 severe illness's heightened inflammatory and pro-thrombotic consequences. This overview collects and discusses the scattered data available in the literature concerning VOO compounds of biological interest and highlights their possible mechanisms of action and effects on human health. In vitro studies and in vivo intervention trials were selected and included in the study after conducting literature searches through "PubMed" and "Web of Science. " In the majority of investigations, the ability of VOO phytochemicals to prevent the oxidation process at both the initiation and promotion/progression phases of several pathologies has been verified. The health benefits discussed in this article support the prospective health benefits acquired from VOO as a possible candidate in developing pharmaceutical preparations and nutraceutical or functional foods for a variety of pathological disorders. This idea could pave the way for future in vivo research and, eventually, clinical trials. In addition, greater research into the mechanisms of action and efficacy is needed to clarify the real biological potential of VOO phytochemicals on humans by performing intervention studies on populations at high disorder risk.
Impact of Breast Cancer Subtypes on Pathological Complete Response Following Neoadjuvant Chemotherapy

aimed to identify the clinicopathological characteristics pathological complete response (pCR) following neoadjuvant chemotherapy in breast cancer. Methods: Between 2009 and 2020, 105 female patients diagnosed with non-metastatic, T1-4, N1-3 breast cancer, undergoing neoadjuvant therapy followed by surgery and then radiotherapy were included in the study. All patients received anthracycline and taxane-based treatments. Patients with Her-2 positivity received additional trastuzumab treatment. Results: A total of 105 female patients were included in the study. The median age was found to be 52 years. 50 (47.6%) patients were premenopausal and 55 (52.4%) patients were postmenopausal. Pathological complete response was obtained in 26 (24.7%) patients who received neoadjuvant therapy. In the evaluation of the factors affecting the pathological complete response, statistical significance was obtained in progesterone receptor status and breast cancer subtypes in the multivariate analysis (p<0.003, p<0.035, respectively). Conclusion: This study showed that the pCR rate was considerably higher in patients with triple negative subtype compared to those with other breast cancer subtypes. Abstract
Examining the key factors influencing loyalty and satisfaction toward the smart factory

Purpose The purpose of this study is to investigate the roles of perceived usefulness, top management support and information technology (IT) infrastructure in developing user satisfaction and loyalty in the context of smart factory. Design/methodology/approach This study gathered the data through a survey of 161 smart factory workers in South Korea. A partial least squares analysis was used to test the measurement and structural models. Findings The results show that perceived usefulness positively influences satisfaction. In addition, IT infrastructure significantly affects both satisfaction and loyalty. Finally, system quality has a positive impact on perceived usefulness. Research limitations/implications IT infrastructure facilitates the level of satisfaction and loyalty. System quality enhances the satisfaction via perceived usefulness. Researchers need to examine the nature of IT infrastructure and system quality that will foster satisfaction and loyalty. Future studies can examine the segmented constructs of IT infrastructure to understand the role of IT infrastructure more comprehensively. Practical implications Firms should invest more in IT infrastructure and pay attention to elevate the level of system quality of smart factory. This research provides managers with guidance concerning how IT infrastructure of firms and system quality of smart factory have positive effects on satisfaction and loyalty. Originality/value This study contributes to the extant literature on information system (IS), project management, organizational innovation and industrial marketing. This research incorporated system factors, top management support and IT infrastructure to understand satisfaction and loyalty of IS users in the context of smart factory. The findings offer a useful view for integrating insights from different research streams.
Cooperative perception for fire monitoring

This paper presents techniques for cooperative fire perception using vision. Algorithms for fire characteristics extraction using a single camera (infrared or visual) are summarized, including techniques for fire segmentation, characterization and measurement. Then, techniques for data association and fusion when several cameras of different modalities are observing the scene are presented. Finally, some strategies for cooperative perception when using autonomous vehicles with perception capabilities are presented
Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment

In programmatic advertising, firms outsource the bidding for ad impressions to ad platforms. Although firms are interested in targeting consumers that respond positively to advertising, ad platforms are usually rewarded for targeting consumers with high overall purchase probability. We develop a theoretical model that shows if consumers with high baseline purchase probability respond more positively to advertising, then firms and ad platforms agree on which consumers to target. If, conversely, consumers with low baseline purchase probability are the ones for which ads work best, then ad platforms target consumers that firms do not want to target—the incentives are misaligned. We conduct a large-scale randomized field experiment, targeting 208,538 individual consumers, in a display retargeting campaign. Our unique data set allows us to both causally identify advertising effectiveness and estimate the degree of incentive misalignments between the firm and ad platform. In accordance with the contracted incentives, the ad platform targets consumers that are more likely to purchase. Importantly, we find no evidence that ads are more effective for consumers with higher baseline purchase probability, rendering the ad platform’s bidding suboptimal for the firm. A welfare analysis suggests that the ad platform’s bidding optimization leads to a loss in profit for the firm and an overall decline in welfare. To remedy the incentive misalignment, we propose a solution in which the firm restricts the ad platform to target only consumers that are profitable based on individual consumer-level estimates for baseline purchase probability and ad effectiveness. This paper was accepted by Anandhi Bharadwaj, information systems.
Juego en la nube: un estado del arte

Los videojuegos se han convertido en un mercado que se ha expandido con rapidez, sin embargo para ejecutar los videojuegos actuales, se requiere de un computador o consola de ultima generacion, donde el primero, aunque tiene un mejor desempeno grafico, requiere actualizaciones de hardware que conllevan a costos mayores. Lo anterior puede evitarse con la implementacion de nubes basadas en videojuegos, donde los servidores brindan el poder de procesamiento central y grafico principalmente a los aplicativos con altos requerimientos, permitiendo que todo usuario con conexion a internet pueda ejecutar en cualquier tipo de dispositivo videojuegos exigentes graficamente de forma remota, sin la necesidad de preocuparse por los requisitos de hardware de estos. Este paradigma se conoce como juego en la nube. En este paradigma existen diversas plataformas y servicios, en su mayoria soluciones privadas, creadas para minimizar la latencia que experimenta el usuario final, aunque con poca documentacion de ellos. Este articulo presenta un estado del arte del juego en la nube, con el fin de aportar a la documentacion y presentar campos de investigacion en esta tecnologia.
Application Development Using WPF

The paper focuses on the application development using WPF. It covers the overall architecture of WPF. The programming models of the WPF shows how code and XAML is separated and how XAML objects can be accessed. We already have display technologies User32, GDI,GDI+,DirectX but still many developers go for WPF because these display technologies have their own limitations, that are overcome in WPF. Paper also focuses on hardware acceleration using WPF.
H 1 PID Control for Discrete-time Network Control Systems with Redundant Channels under Dynamic Event-triggered Scheme

This paper is concerned with the H 1 proportional-integral-derivative (PID) control problem for a class of discrete-time networked control systems (NCSs). First, a dynamic event-triggered control (DETC) scheme has been introduced to save the constrained network bandwidth of networked control systems. In addition, in order to reduce the probability of data packet loss and further improve the reliability of network communication, a redundant channels transmission mechanism has been constructed during the sensor transmission process. Considering that the system state may not be obtained directly, an observer has been added when designing a closed-loop system to observe the system state. Then, according to the closed-loop system construction, with the help of Lyapunov function and through a series of derivations, some suﬃcient conditions are established to guarantee the exponentially stability and the prescribed H 1 performance for the controlled system. Meanwhile