Miracle-dz/UniFAR-FTUs huggingface dataset:
Viabilidad del uso de un demo de un sistema de realidad virtual como parte del proceso de enseñanza-aprendizaje de operación de la torreta 40/50 instalada en vehículos asv

El objetivo de este proyecto es determinar la viabilidad técnica, pedagógica y económi- ca del uso de un sistema de realidad virtual como parte del proceso de enseñanza-aprendizaje de operación de la torreta 40/50 instalada en vehículos asv. Para ello, su desarrollo contempla la cons- trucción de un demo (usando realidad virtual), su validación y el establecimiento de los beneficios derivados de su posible implementación para la capacitación de personal en el uso de plataformas de caballería. La viabilidad técnica y pedagógica se basó en el análisis de semejanza y similitud con una muestra reducida. Los resultados revelan que el demo satisface las condiciones básicas para su nivel de madurez tecnológica (TRL 3), y demuestran que es posible usar nuevas tecnologías para capacitación sobre el manejo de torretas y permite identificar puntualmente oportunidades de mejora para su implementación. El estudio incluye información sobre la viabilidad económica del demo, dada la reducción de costos frente a la formación tradicional con equipo real. A nivel pedagógico, el análisis de la literatura permite notar los beneficios del uso de la simulación en los procesos de enseñanza y aprendizaje en general. Adicionalmente, se identificaron los cursos en los que es posible usar simulación como estrategia de enseñanza inicial complementada con prácticas reales cuando se cuente con las competencias mínimas.
DESENVOLVENDO UMA RACIONALIDADE PARA O PROCESSO DE "DESIGN" ORGANIZACIONAL

The design could be seen in the dimensions of its contents and the process of its creation and development. This paper explores the process approach to develop a rationality for the organizational design process. All the developments done are based on a framework or conceptual map that defines the domain and the design areas. The research project that supports the results shown in this paper deals with the creation of a practical tool, specifically a workbook to conduct the organizational design task. The approach that guides the definition of the processes models is based on the competence development.
Calibration Issues for Multistate Model of Travel Time Reliability

Travel time reliability has received much attention from researchers and practitioners because it not only affects driver route choice behavior but also is used in the assessment of transportation system performance. Current state-of-the-art travel time reliability research assumes that roadway travel times follow a unimodal distribution. Specifically, a Weibull, exponential, lognormal, or normal distribution is used within the context of travel time reliability modeling. However, field observations demonstrate that roadway travel times are multimodal, especially during peak periods. This paper demonstrates that the multimodes observed in field data are a result of temporal variations in travel times both between and within days. This study evaluates the potential for generating multimodal travel times by using INTEGRATION software and investigates the underlying traffic states that result in these multimodes. The study validates the two-state model proposed in an earlier study and demonstrates the robustness of model parameter estimates under varying stochastic traffic congestion levels and sampling techniques.
A fast combination calibration of foreground and background for pipelined ADCs

This paper describes a fast digital calibration scheme for pipelined analog-to-digital converters (ADCs). The proposed method corrects the nonlinearity caused by finite opamp gain and capacitor mismatch in multiplying digital-to-analog converters (MDACs). The considered calibration technique takes the advantages of both foreground and background calibration schemes. In this combination calibration algorithm, a novel parallel background calibration with signal-shifted correlation is proposed, and its calibration cycle is very short. The details of this technique are described in the example of a 14-bit 100 Msample/s pipelined ADC. The high convergence speed of this background calibration is achieved by three means. First, a modified 1.5-bit stage is proposed in order to allow the injection of a large pseudo-random dithering without missing code. Second, before correlating the signal, it is shifted according to the input signal so that the correlation error converges quickly. Finally, the front pipeline stages are calibrated simultaneously rather than stage by stage to reduce the calibration tracking constants. Simulation results confirm that the combination calibration has a fast startup process and a short background calibration cycle of 2 × 221 conversions.
Path generation for mobile robot navigation using genetic algorithm

The shortest/optimal path generation is essential for the efficient operation of a mobile robot. This paper presents an algorithm for global path planning to a goal for a mobile robot in an known environment. The algorithm uses the modified quadtree data structure to make database of the environment and utilizes a genetic algorithm to generate an optimal path for the robot to move along. Actually, the genetic algorithm consists of two stages, the first (named a minor league) checks if a chromosome can reach a goal position or not, and makes the individuals evolve; only a reaching chromosome is then transferred to the second stage (called a major league) and are then evolved. Finally, the best chromosome of individuals in the second stage survives, so that the optimal/shortest path is generated. It is shown that the authors' proposed method can find an optimal path very quickly according to simulation results.
Short-Term Unit Commitment by Using Machine Learning to Cover the Uncertainty of Wind Power Forecasting

Unit Commitment (UC) is a complicated integrational optimization method used in power systems. There is previous knowledge about the generation that has to be committed among the available ones to satisfy the load demand, reduce the generation cost and run the system smoothly. However, the UC problem has become more monotonous with the integration of renewable energy in the power network. With the growing concern towards utilizing renewable sources for producing power, this task has become important for power engineers today. The uncertainty of forecasting the output power of renewable energy will affect the solution of the UC problem and may cause serious risks to the operation and control of the power system. In power systems, wind power forecasting is an essential issue and has been studied widely so as to attain more precise wind forecasting results. In this study, a recurrent neural network (RNN) and a support vector machine (SVM) are used to forecast the day-ahead performance of the wind power which can be used for planning the day-ahead performance of the generation system by using UC optimization techniques. The RNN method is compared with the SVM approach in forecasting the wind power performance; the results show that the RNN method provides more accurate and secure results than SVM, with an average error of less than 5%. The suggested approaches are tested by applying them to the standard IEEE-30 bus test system. Moreover, a hybrid of a dynamic programming optimization technique and a genetic algorithm (DP-GA) are compared with different optimization techniques for day ahead, and the proposed technique outperformed the other methods by 93,171$ for 24 h. It is also found that the uncertainty of the RNN affects only 0.0725% of the DP-GA-optimized UC performance. This study may help the decision-makers, particularly in small power-generation firms, in planning the day-ahead performance of the electrical networks.
Dasatinib-Induced Nephrotic Syndrome: A Case Report

Second-generation tyrosine kinase inhibitors (TKI), such as nilotinib and dasatinib, are used in the first-line treatment of chronic myeloid leukemia (CML), usually after the failure or resistance to imatinib. Despite a good safety profile, medications in this category have an increased incidence of specific adverse events such as pulmonary hypertension, pleural effusion, and cardiovascular/peripheral arterial events. However, renal complications are rarely reported and observed. We herein report a case of a 46-year-old patient with CML who developed nephrotic syndrome upon switching from imatinib to dasatinib therapy, with the resolution of symptoms upon treatment discontinuation and switching to nilotinib. Limited cases were reported in the literature. It is thought that the inhibition of the vascular endothelial growth factor (VEGF) pathway is the main mechanism leading to proteinuria. Dasatinib-induced nephrotic syndrome should be looked for as it can be resolved by either reducing the dose or stopping it altogether and switching to another TKI.
The Usefulness of Ultrasound Surveillance for Axillary Recurrence in Women With Personal History of Breast Cancer

Purpose To evaluate the axillary recurrence rate and usefulness of axillary ultrasound (AUS) during supplementary whole-breast ultrasound (US) screening in women with a personal history of breast cancer (PHBC). Methods A retrospective database search identified consecutive asymptomatic women who underwent postoperative supplemental whole-breast US screening, including that of the bilateral axillae, after negative findings on mammography between January and June 2017. Using the pathologic data or at least 1-year follow-up data as reference standards, the axillary recurrence rate, cancer detection rate (CDR), interval axillary recurrence rate per 1,000 screenings, sensitivity, specificity, and abnormal interpretation rate (AIR) were estimated. Results From the data of 4,430 women (mean age, 55.0 ± 10.1 years) analyzed in this study, there were five axillary recurrence cases (1.1/1,000) in the median follow-up period of 57.2 months. AUS showed a CDR of 0.2 (1/4,430; 95% confidence interval [CI], 0.01–1.3) and an interval axillary recurrence rate of 0.9 (4/4,402; 95% CI, 0.2–2.3) per 1,000 examinations. The sensitivity and specificity were 20.0% (1/5; 95% CI, 0.5–71.6), and 99.4% (4,398/4,425; 95% CI, 99.1–99.6), respectively, while the AIR was 0.6% (28/4,430; 95% CI, 0.4–0.9%). Conclusion In asymptomatic women with a PHBC and negative findings on mammography, axillary recurrence after breast cancer and axillary treatment was uncommon, and the supplemental AUS screening yielded 0.2 cancers per 1,000 examinations.
Performance and modeling of advanced Ti:LiNbO/sub 3/ digital optical switches

High-performance Y-branch digital optical switches realized in Ti:LiNbO/sub 3/ are presented. Their switching response functions have been optimized in terms of switch voltage and crosstalk ratio. The optimization is based on analyzing different types of waveguide shaping and switching arrangements using coupled mode theory and computer simulations. Excellent switching characteristics are achieved with devices exploiting a specially shaped waveguide branch in a dilated switch arrangement. Demonstrated performances include switching voltage as low as 9 V with crosstalk suppression better than 45 dB and fiber-to-fiber losses as low as 4 dB. Polarization independence with crosstalk suppression better than 40 dB over a 1520- to 1570-nm wavelength range is achieved for any applied switch voltage greater than 18 V. These optimized digital optical switches have further demonstrated the capability to reshape electrical input signals at switching rates of several hundred megahertz.
A public display for collective sharing in real and virtual place

In this paper, we propose a design of an interactive message wall as a public display for large group setting such as a university com- munity to encourage user participation, social interaction and creation of user content. It is a public display for collective sharing of thoughts. It is also a portal for online users to make their presence felt in the physical place. Both users at the physical place and in an online virtual world can post messages to the interactive message wall. The paper will present user studies carried out with a mock-up message wall to estab- lish how onsite users use it, their preferred ways to leave messages, what medium of content (voice, photo, text, video) they are willing to share, and user participation. The results of the user studies will inform the design of the interactive message wall and provide learning points on how to promote user participation.
Control of orchard spraying based on electronic sensing of target characteristics

ABSTRACT Aconventional air-carrier orchard sprayer was retrofitted with a microcomputer-based sprayer control system. A foliage volume measurement system, based on ultrasonic range trandsucers was interfaced to a computer. Three 3-nozzle manifolds on each side of the sprayer were controlled by the computer using control algorithms based on spray deposition studies. Use of the full control system resulted in spray volume savings ranging from 28 to 35% and 36 to 52% in peaches and apples, respectively. A simple intermittent control system resulted in savings from 10 to 17% in peaches and 21 to 28% in apples. In orchard comparisons between controlled vs. uncontrolled sprayer operation, spray deposition from the controlled sprayer was found to be reduced at some locations.
Implementing a Managed Print Solution for Tainui NZ Ltd

Purpose – The purpose of this paper is to describe the failure of implementing a managed print solution to control costs and reduce waste associated with outsourcing practices in a complex and legacy environment. Design/methodology/approach – Project documentation and literature reviews versus interview results by key stakeholders of the project. Findings – It is found that there are critical successful factors would directly affect the result of a project implementation. Multi-party collaboration is quite challenging to each party, especially the product owner. It needs a strong leader to indicate each party’s responsibility and make sure communication can go through smoothly. Practical implications – Organizations who have more complex infrastructure and legacy systems would need to take extra care when integrating new systems. Originality/value – This paper can be used by Tainui or other organization leaders and project managers to be more effectively achieve future project success. Keywords - Print management, Printers, Waste, Cost saving, IT project, CSF, Multi-party collaboration, Outsourcing Paper type - Case study
A Family of 3-DOF Translational Parallel Manipulators

This article addresses parallel manipulators with fewer than six degrees of freedom, whose use may prove valuable in those applications in which a higher mobility is uncalled for. In particular, a family of 3-dof manipulators containing only revolute joints or at the most revolute and prismatic ones is studied. Design and assembly conditions sufficient to provide the travelling platform with a pure translational motion are determined and two sub-families that fulfill the imposed constraint are found: one is already known in the literature, while the other is original. The new architecture does not exhibit rotation singularities, i.e., configurations in which the platform gains rotational degrees of freedom. A geometric interpretation of the translation singularities is provided.
Mesoscale Convective Systems in a Superparameterized E3SM Simulation at High Resolution

Accurately representing mesoscale convective systems (MCSs) is crucial to simulating the energy and water cycles in global climate models. Using a novel MCS identification and tracking algorithm applied to observations and model simulations, we evaluate how well the Energy Exascale Earth System Model (E3SM) simulates MCSs over the central US. Simulations performed by E3SM at 25 km grid spacing with and without superparameterization (SP) are compared and evaluated against observations using multiple metrics highlighting important MCS characteristics. Compared to E3SM, the superparameterized model (SP‐E3SM) better simulates MCS number and MCS precipitation amount, diurnal cycle, propagation, and the probability distribution of precipitation rate in both spring and summer. The improvement from SP is partly contributed by improvement in simulating the large‐scale environments, featuring enhanced atmospheric low‐level moisture and larger moisture transport to the central US relative to E3SM. However, SP‐E3SM still underestimates MCS precipitation amount, particularly in summer. This underestimation is closely related to the negative bias in MCS precipitation intensity, although the drier environments simulated during summer also contributes to underestimation of MCS frequency. Without SP, the larger bias in MCS precipitation amount is closely related to the negative bias in MCS frequency, while the substantial dry bias in the large‐scale environments also contributes to underestimation of MCS intensity. Our results suggest that SP improves MCS simulation by improving modeling of the large‐scale environments and convection initiation, which are both major limiting factors in E3SM even at 25 km grid spacing where deep convection is represented by a cumulus parameterization.
Resurgent charity and the neoliberalizing social

ABSTRACT Recent decades have seen a resurgence of charity as a response to poverty, as political authorities celebrate non-state responses to social problems. Analyses of this resurgence view charity as a crutch for neoliberal programmes of welfare state retrenchment. This paper offers an alternative perspective. Bringing together a Latourian framework with Foucauldian analyses of neoliberal political ontology, we argue that both the mobilization of charity and welfare state restructuring are part of a broader project to ‘reassemble the social’ in accordance with (neo)liberal ideals of spontaneous, affective, self-regulating sociality. We analyse the practices of translation that seek to enrol charity in the neoliberalization of the social and highlight how this process contributes to the reconfiguring of citizenship, solidarity and the social status of the poor.
Study on the effect of sevoflurane on the cognitive function of aged rats based on the activation of cortical microglia

Abstract Postoperative cognitive dysfunction (POCD) is a common clinical manifestation that is a severe complication characterized by decreased learning ability and deterioration of memory following anesthesia and surgery. However, the precise mechanisms of POCD are not completely understood. Rats were divided into blank control group (Con, n = 12) and sevoflurane group (Sev, n = 12). Morris water maze test was performed to evaluate the ability of learning and memory in two groups of rats; immunohistochemical staining was used to detect the expression of ion calcium‐binding adaptor molecule‐1 (Iba‐1) in rat prefrontal cortex (PFC); Western blot analysis was applied respectively to investigate Iba‐1, inducible nitric oxide synthase (iNOS), arginase‐1 (ARG1), inflammatory cytokines interleukin‐1β (IL‐1β), and tumor necrosis factor‐α (TNF‐α) expression; The expression of iNOS, ARG1, IL‐1β, and TNF‐α in sera of rats was detected by enzyme‐linked immunosorbent assay. We found that sevoflurane induced learning and memory impairment assessed by morris water maze test, anesthesia up‐regulated the expression of iNOS, IL‐1β and TNF‐α inflammasome in microglia, as indicated by increased activation of Iba‐1 and reduced the level of ARG1 in the PFC. We conclude that the cognitive function of rats after inhaling anesthesia was likely associated with M1/M2 polarization of microglia, which was triggered by sevoflurane.
Free-jet Testing of a REST Scramjet at Off-Design Conditions

Scramjet flowpaths employing elliptical combustors have the potential to improve structural efficiency and performance relative to those using planar geometries. NASA Langley has developed a scramjet flowpath that is integrated into a lifting body vehicle, transitions from a rectangular capture area to an elliptical throat, and includes an elliptical combustor. This Rectangular-to-Elliptical Shape Transition (REST) scramjet has a design point of Mach 7.1, and is intended to operate with fixed-geometry between Mach 4.5 and 8.0. This paper describes initial free-jet testing of a heat-sink REST scramjet engine model at conditions simulating Mach 5.3 flight. Combustion of gaseous hydrogen fuel at equivalence ratios between 0.5 and 1.5 generated robust performance after ignition with a silane-hydrogen pilot. Facilitymodel interactions were experienced for fuel equivalence ratios above 1.1, yet despite this, the flowpath was never unstarted by fuel addition at the Mach 5.3 test condition. Combustion tests resulting in engine unstart at reduced stagnation enthalpy indicated that the inlet/engine self-started following termination of the fuel injection. Engine data is presented for the largest fuel equivalence ratio tested without facility interaction. These results indicate that this class of three-dimensional scramjet engine can operate successfully at off-design conditions.
Modes of periodically segmented waveguides

Modal properties of periodically segmented waveguides (PSWs) are analyzed by using the beam-propagation method and coupled-mode theory. The modal effective indices in a PSW are shown to be equal to those of a continuous waveguide with an averaged Delta n. As a result, guided modes spread out, particularly those that are not strongly guided. The radiation loss is shown to oscillate with most of the waveguide parameters. In practical terms, this loss can be made negligible even for long periods. The results can be applied to the design of waveguide devices such as two-dimensional mode tapers and frequency-selective couplers. >
An IoT-Based Intrusion Detection System Approach for TCP SYN Attacks

The success of Internet of Things (IoT) deployment has emerged important smart applications. These applications are running independently on different platforms, almost everywhere in the world. Internet of Medical Things (IoMT), also referred as the healthcare Internet of Things, is the most widely deployed application against COVID-19 and offering extensive healthcare services that are connected to the healthcare information technologies systems. Indeed, with the impact of the COVID-19 pandemic, a large number of interconnected devices designed to create smart networks. These networks monitor patients from remote locations as well as tracking medication orders. However, IoT may be jeopardized by attacks such as TCP SYN flooding and sinkhole attacks. In this paper, we address the issue of detecting Denial of Service attacks performed by TCP SYN flooding attacker nodes. For this purpose, we develop a new algorithm for Intrusion Detection System (IDS) to detect malicious activities in the Internet ofMedical Things. The proposed scheme minimizes as possible the number of attacks to ensure data security, and preserve confidentiality of gathered data. In order to check the viability of our approach, we evaluate analytically and via simulations the performance of our proposed solution under different probability of attacks. © 2022 Tech Science Press. All rights reserved.
A Study of IPR Policies and Practices of a Representative Group of Standards Setting Organizations Worldwide

This study contains a detailed, comparative analysis of the IPR policies of twelve standard setting organizations: ISO, IEC, ITU, IEEE, ETSI, ANSI, IETF, OASIS, VITA, W3C, HDMI Forum and NFC Forum. It considers the policy objectives, the way essential IPR are defined, and the procedures for disclosure and for licensing commitments, and finishes with a number of observations and conclusions. The study was commissioned by the US National Academies of Science (NAS), Project on Intellectual Property Management in Standard-setting Processes.