Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication as the crucial link: Toward a multilevel approach to normative social influence

Social norms are informal rules within a group or society. Despite the consensus that social norms affect behavior, there is an inherent tension in the cross-disciplinary norms literature between the conceptualization of norms as individual and collective phenomena. The present paper capitalizes on the potential of communication as the link between different levels of social norms to develop an integrative approach to normative social influences. Concretely, it refers to the differentiation between perceived and collective norms, systematizes the current literature on the role of communication in social normative influences, and outlines how communication serves as functional link between the individual and collective level of norms. The resulting multilevel approach to normative social influences (MANSI) allows us to reflect on norms as dynamic phenomena that account for individual and social change. Ultimately, we discuss challenges and areas for further inquiry for the study of norms, and thereby derive recommendations for future research on multilevel normative social influences.
Agent-Based Modelling for Analysis of Resilience in ATM

The ability of the sociotechnical ATM system to adjust its functioning to changes and disturbances, and thereby sustain required operations is a key asset, in which human operators play crucial roles. Previously, we have shown that agent-based modelling can effectively support analysis of the safety implications of the behaviour of interacting human operators and technical systems in their effort to deal with disturbances in ATM. In this paper we provide an overview of a library of model constructs for agent-based modelling in ATM and we show the integration of these model constructs. We show that the library of model constructs can effectively model a large set of hazards in ATM and we discuss ways towards effective use of these models for the analysis of safety-focused resilience.
Aorta Regulatory T Cells with a Tissue‐Specific Phenotype and Function Promote Tissue Repair through Tff1 in Abdominal Aortic Aneurysms

Abstract In addition to maintaining immune tolerance, Foxp3+ regulatory T cells (Tregs) perform specialized functions in tissue homeostasis and remodeling. However, whether Tregs in aortic aneurysms have a tissue‐specific phenotype and function is unclear. Here, a special group of Tregs that potentially inhibit abdominal aortic aneurysm (AAA) progression are identified and functionally characterized. Aortic Tregs gradually increase during the process of AAA and are mainly recruited from peripheral circulation. Single‐cell TCR sequencing and bulk RNA sequencing demonstrate their unique phenotype and highly expressed trefoil factor 1 (Tff1). Foxp3cre/creTff1flox/flox mice are used to clarify the role of Tff1 in AAA, suggesting that aortic Tregs secrete Tff1 to regulate smooth muscle cell (SMC) survival. In vitro experiments confirm that Tff1 inhibits SMC apoptosis through the extracellular signal‐regulated kinase (ERK) 1/2 pathway. The findings reveal a tissue‐specific phenotype and function of aortic Tregs and may provide a promising and novel approach for the prevention of AAA.
How to Succeed in Business Using LinkedIn: Making Connections and Capturing Opportunities on the World's #1 Business Networking Site

Hailed as the MySpace for professionals, LinkedIn has taken the Internet by storm. It is now estimated that 19 million business professionals log in to this site every day to look for job opportunities, search for potential clients, get recommendations from colleagues, and reconnect with former coworkers. LinkedIn allows users to create a profile detailing their professional experience and accomplishments, which will help them connect with literally thousands of qualified professionals in their field. How to Succeed in Business Using LinkedIn takes users through every aspect of the site, from getting registered and building their network to posing questions and creating groups. Readers will learn how to: create their home page so other users can find them give and receive references search for experts in their field find leads market their business look for and become a service provider find and recruit for jobs conduct business research discover people outside their networks Unique and practical, this is the only book available that shows users how to make the most of LinkedIn and the powerful networking opportunities it offers.
Drift Diffusion Modeling of Morphological Effects in Organic Photovoltaic Devices

As humanity's energy consumption continues to increase for the coming decades, with our knowledge of traditional fossil fuels' deleterious effects on our planetary ecosystem, it is evident that development of clean, economical, and renewable energy sources is one of the great remaining problems faced by our species. Photovoltaic technologies, particularly those based on organic materials, have been suggested as potentially viable solutions to our energy demands. However, several deficiencies of organic photovoltaic devices, specifically their relatively low power conversion efficiency, has hampered their adoption for large-scale energy production. One of the main causes of these deficiencies is the imprecise control of the distribution of the active materials within these photovoltaic devices. This dissertation presents a series of semiconductor device modeling simulations, which were conducted to elucidate the various effects of the morphology of active components on organic photovoltaic devices' charge transport properties and photovoltaic performance. Our simulations illustrate how subtle variations in the active layer morphology can both hinder and benefit device performance in surprising ways. This indicates the need for novel processing techniques, which allow precise control of device morphology, in order for organic photovoltaic devices to be competitive with other contemporary renewable energy technologies.
Optimal Synthesis of Linear Sampling Control Systems Using Generalized Performance Indexes

This paper is concerned with the design of linear control systems so as to minimize some quadratic performance index. The method of design is applicable to both sampling and continuous control systems. Using the concepts of “state” and “transition matrix,” the design problem can be solved, via the technique of dynamic programming, by means of simple iterative computations. In this way, the classical Wiener method of design is extended in several different directions: (a) Using generalized performance indexes, (b) optimizing for classes of input signals rather than single inputs, (c) assuring stability of the optimally designed system.
Water and Latrine Services and Associated Factors among Residents of Negele Town, Southeast Ethiopia: A Cross-Sectional Study

Background Access to at least a basic water service, improved sanitation, and hygiene contribute to the human health and socioeconomic development of a country. This study was conducted to assess the water and latrine service coverage and related factors among dwellers of Negele town, southeast Ethiopia. Method Two Kebeles (small administrative units) were randomly selected from each of the three zones of the town to collect data via questionnaires from randomly selected household heads (380), interviews of purposely selected key informants (40), and personal observations employing a cross-sectional survey design from March to May 2018. A Chi-square test was conducted to examine the association between various demographic factors and having latrine/tap water. Result Latrine coverage of the town was low (45%) mainly due to shortage of land or funds and expansion of illegal houses. The available latrines were poor in hygiene. Water service (solely tap water) coverage was very low (7.6%) as a result of deficient water sources and nonfunctioning pipelines. The zones, age, educational status, marital status, and family size of the participants were statistically significantly associated with having latrine or tap water, p < 0.05. The administration of the town has planned to build four public toilets and raise its water supply coverage to about 70% by 2019/2020. Conclusion Coverage of latrine and water services of Negele town were so low, implying that it is not on track to achieve the United Nations (UN) sustainable development goal target 6.1 and 6.2. The administration of the town should provide land to residents and search for fund sources for the construction of standardized private and public toilets. Utilizing various water sources, maintaining nonfunctional, and constructing new pipelines should be promoted to improve the water service coverage of the town targeting the national and UN sustainable development goals.
Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing

Wireless sensing is the utmost cutting-edge way of monitoring different health-related activities and, concurrently, preserving most of the privacy of individuals. To meet future needs, multi-subject activity monitoring is in demand, whether it is for smart care centres or homes. In this paper, a smart monitoring system for different human activities is proposed based on radio-frequency sensing integrated with ensemble machine learning models. The ensemble technique can recognise a wide range of activity based on alterations in the wireless signal’s Channel State Information (CSI). The proposed system operates at 3.75 GHz, and up to four subjects participated in the experimental study in order to acquire data on sixteen distinct daily living activities: sitting, standing, and walking. The proposed methodology merges subject count and performed activities, resulting in occupancy count and activity performed being recognised at the same time. To capture alterations owing to concurrent multi-subject motions, the CSI amplitudes collected from 51 subcarriers of the wireless signals were processed and merged. To distinguish multi-subject activity, a machine learning model based on an ensemble learning technique was designed and trained using the acquired CSI data. For maximum activity classes, the proposed approach attained a high average accuracy of up to 98%. The presented system has the ability to fulfil prospective health activity monitoring demands and is a viable solution towards well-being tracking.
Lean Second Time Around: Lessons learned for Higher Education

The purpose of this paper is to present the lessons learned from implementation of a lean approach in a university environment and to determine if lean principles can be successfully applied to Higher Education and is based on a longitudinal case study within a higher education institution (HEI). The case study presents the main success factors and lessons learned from the implementation of lean practices. Factors such as leadership, communication, perception, visibility, training and resistance to change and cost versus value are highlighted as critical through this case study. The practical implication of this work is to give, those wishing to implement lean within the Higher Education sector, an insight into the problems and issues that may arise and how they may be overcome It is also of value to those undertaking the implementation of lean practices within the Higher education sector as it is one of few studies done in this particular context as well as offering the experiences gained from a longitudinal study.
Regaining 20 Watts for the Cassini Power System

The Cassini mission is a joint effort of NASA, the European Space Agency and the Italian Space Agency. The mission is managed by JPL for NASA. The Cassini spacecraft launched on October 15, 1997, entered Saturn orbit on July 1, 2004, and will be completing its first extended mission in September 2010. The primary science objective is to investigate Saturn’s system including the icy rings, the moon Titan, other moons and the magnetic bubble surrounding the system. As part of the investigation of Titan, Cassini delivered the Huygens Probe in January of 2005, which returned science data still being analyzed today. Cassini is anticipated to continue on a second extended mission with Titan flybys returning pictures and science data on every pass. The Cassini spacecraft’s power system is powered by three Radioisotope Thermoelectric Generators (RTGs) with a beginning of mission capability of 900 W. The power output from the RTGs decreases exponentially over time, so the number of powered loads that may operate simultaneously also declines accordingly. Thus, planning and predicting the allowable number of spacecraft power loads is necessary as the available power decreases. A discrepancy in the Power and Pyrotechnics Subsystem (PPS) telemetry was discovered after launch: the difference between the total RTG power output and the bus power load did not equal the bus power margin. The delta amounted to approximately 30 W and was following a slow downward trend. This 30 W delta was initially attributed to the electronics power dissipation in the Shunt Regulator Assembly (SRA), which is the power system component that controls the shunt current (power margin) and linearly regulates the 30 V bus. After further investigation, it was determined that the approximate 30 W discrepancy was not due to the SRA electronics, but rather resulted from the combined calibration inaccuracies in the 5 telemetry channels used in calculating the discrepancy. The telemetry circuit was then modeled and analyzed to obtain more precise calibration curves for these power telemetry channels, reducing the error significantly and increasing the power margin for operations.
Analysis of the Performance of Rainwater Tanks in Australian Capital Cities

The performance of IkL to 10 kL rainwater tanks with mains water tickle topup used to supplement mains water supply for domestic toilet, laundry, hot water and outdoor uses was evaluated for Brisbane, Sydney, Melbourne and Adelaide. The PURRS (Probabilistic Urban Rainwater and wastewater Reuse Simulator) model developed by Coombes and Kuczera (2001) was employed to continuously simulate the performance of rainwater tanks using synthetic pluviograph rainfall generated by the DRIP (Disaggregated Rectangular Intensity Pulse) event based rainfall model by Heneker et al. (2001). Depending on roof area and number of occupants in a household, the use of rainwater tanks resulted in annual mains water savings ranging from 18 kL to 55 kL for 1 kL rainwater tanks to 25 kL to 144 kL for 10 kL rainwaters tanks. The average retention volumes available in rainwater tanks prior to storm events ranged from 0.26 m3 to 0.71 m3 for 1 kL tanks to 2.34 m3 to 8.4 m3 for 10 kL tanks.
Time-Dependent Dissipative Massive Scalar Field

A BSTRACT — In this work, we investigate a time-dependent dissipative scalar field. Inspired by the Bateman lagrangian, we showed a procedure for quantizatizing the massive scalar field with the time-dependent dissipative term. So, the properties of a quantum dissipative scalar field are analyzed by the Caldirola-Kanai model. Also, we construct the Hilbert space for the system and calculate the wave eigen-functions and probability distribution of the system.
The Effect of Tax Officials’ Organizational Communication on Job Performance: Focused on the Moderating Effect of Trust

The purpose of this study is to investigate whether organizational communication factors - top-down, bottom-up, and horizontal communication - affect job performance when tax officials perform their duties, and to empirically analyze their relationship using the moderating variables of trust to see if organizational communication on job performance differs according to trust. The results of the analysis show that factors of organizational communication that have a positive effect on job performance are top-down communication and horizontal communication. Among them, horizontal communication has a greater effect. In addition, the analysis result of interaction effect by moderating regression analysis shows that only horizontal communication x trust has a significant positive effect on job performance except top-down communication and bottom-up communication among organizational communication factors. This means that the more smooth the horizontal communication in the tax organization is, the higher the trust gets. It suggests that, given that related duties in tax affairs are handled jointly and the organizational transactions are done together though the progress of tax affairs is mostly handled individually, horizontal communication has a positive effect on forming a network between colleagues and departments in the organization and on solving problems and conflicts in the work, thereby enhancing the job performance. The suggestions for future research are as follows. First, this study is the result of analyzing tax officials working in Busan, Ulsan and Gyeongnam-do (province), so the number of samples is limited. It is necessary to expand the region and organization because there is a limit to generalizing the results of the study. Second, it is considered that the same method has a problem in that the data were collected using the questionnaire limited to a few items by the self-report questionnaire, so further research that can increase external validity using various data should be conducted.
Control System Design: An Introduction to State-Space Methods (Dover Books on Engineering)

Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response. Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters. 1986 edition.
Caracterização Inicial do Comportamento de Aplicações Transacionais em Arquiteturas NUMA

Este artigo busca fazer uma caracterização inicial de memória transacional em sistemas NUMA de alto desempenho e, por meio da aplicação de diferentes mecanismos de alocação de memória dinâmica e de mapeamento de threads, obter um perfil de desempenho comparativo. Os resultados mostram que existem benefícios no uso de um único socket de processador e que, para melhor explorar arquiteturas NUMA, algumas mudanças são necessárias no algoritmo transacional.
Simulation and Implementation of Soft-Switched Interleaved DC-DC Boost Converter for Fuel Cell Systems

In this paper, a soft-switched Interleaved DC-DC Boost Converter (IBC) for fuel cell is simulated and implemented. The proposed two-phase IBC circuit consists of two identical boost converter connected in parallel and are controlled by interleaved switching signals. But in the conventional IBC switching loss increases with the number of switching devices. To solve this problem, this paper has proposed a soft switched IBC. Detailed analysis has been done to investigate the benefits of soft-switched IBC compared to that of conventional uncoupled and directly coupled IBC. The converter circuit is constructed using power MOSFET as power switch. The PWM is generated by PIC18F4450 microcontroller. In this paper, the analysis of the converter is presented which is verified by the results of simulation and experimentation.
Effect of Fault Ride Through Capability on Electric Vehicle Charging Station Under Critical Voltage Conditions

A high-quality power supply is required for the proper functioning of the electric vehicle (EV) charging system. However, the voltage quality is one of the significant issues in the distribution grid. This article aims to examine the impacts of voltage disturbance on EV batteries and charging systems, and provides a fault ride-through capability (FRTC) to enhance the voltage quality. The charging system is constructed by the three-phase controlled rectifier and the dc–dc converter. The EV battery pack is modeled with lithium-ion batteries. The FRTC system is designed to improve the voltage quality, and it is achieved through the dynamic voltage restorer. It protects the EV batteries and charging system from the critical voltage sag levels. The performance of the proposed EV charging station (EVCS) has been investigated in 30%, 60%, and 90% voltage sag through the MATLAB/Simulink platform. Also, the real-time validation has been carried out by the software-in-the-loop test with the help of the dSPACE (DS1202) real-time system. The EVCS with an FRTC system provides better performance than the conventional EVCS.
Free-Space Transmission and Detection of Variously Polarized Near-IR Beams Using Standard Communication Systems with Embedded Singular Phase Structures

We propose to achieve multichannel information transmission in free space by means of variously polarized beams. The interaction of vortex beams of various orders with the main polarization states is theoretically analyzed. The passage of beams with different polarization states through multi-order diffractive optical elements (DOEs) is simulated numerically. Using the simulation results, tables of code correspondence of diffraction order numbers to the presence of phase vortices in the analyzed beams are constructed, which allow one to determine diffraction orders that carry information about various polarization states. The performed experiment made it possible to study the recognition of the first order cylindrical polarization state formed by a Q-plate converter using a phase DOE. In the experiment, these elements were built into a commercial fiber-optic communication system operating at the near-IR frequencies. After detecting the beam polarization state, beams of the required diffraction orders are efficiently coupled into optical fiber using an additional phase element. The developed optical detection system also provides channel suppression of homogeneously polarized components, which are supposed to be used for transmission of other channels.
Carfilzomib inhibits the proliferation and apoptosis of multiple myeloma cells by inhibiting STAT1/COX-2/iNOS signaling pathway

Background The ubiquitin-proteasome pathway (UPP) plays a key role in the intracellular degradation of abnormal and misfolded proteins in eukaryotic cells. Multiple myeloma (MM) is a common hematologic malignancy caused by clonal expansion of malignant plasma cells. Proteasome-targeted drugs such as carfilzomib, which is a selective proteasome inhibitor (PI), could play an important role in the treatment of diseases such as MM. Methods MM cells were treated with different concentrations of carfilzomib and apoptosis as well as the viability of MM cells were measured by flow cytometry analysis and MTT assay. We also measured the effect of carfilzomib on the proliferation of myeloma cells by DNA incorporation of the pyrimidine analog BrdU. The effect of carfilzomib on apoptosis was detected by immunofluorescence TUNEL staining and western blot. We also verified its effect on the STAT1/COX-2/iNOS pathway by western blot. Results Carfilzomib inhibited the growth of MM cells in a concentration-dependent manner, with the strongest inhibitory activity on RPMI-8226 cells. Carfilzomib also induced apoptosis of MM cells in a concentration-dependent manner, with the strongest effect on RPMI-8226. BrdU assay was then performed with RPMI-8226 cells, and the results showed that carfilzomib inhibited cell proliferation in a concentration-dependent manner. Immunofluorescence TUNEL staining and western blot assays showed that carfilzomib induced apoptosis in a dose-dependent manner, and promoted the expression of apoptosis-related proteins such as cleaved-caspase-3, cleaved-caspase-3, Bax and Bcl2. Western blot also verified that carfilzomib promoted STAT1 inhibition and subsequently inhibited COX-2 and iNOS. Conclusions Inhibition of the STAT1/COX-2/iNOS signaling pathway by carfilzomib not only inhibited MM cell proliferation, but was also an important mechanism of inducing MM cell apoptosis.