Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Signaling for Multi-Process Micro-Kernel Embedded OS on ARM

This paper describes the design and implementation of signaling routines for multi-process micro-kernel embedded operating system on ARM in details, including overview of signaling, architecture of the signaling routines, installation of signal, setting and execution of the signaling handlers. Some essential signaling functions are implemented and commonly used signals are supported, e.g. SIGALRM, SIGINT and SIGCHLD, etc. Signal registration function, signal (), is also designed to set the handler of a signal. On the premise of supporting essential signals, the routines are designed as simple as possible in order to reduce the amount of codes as well as increase the readability. The paper at finally gives a demo example to show the effect of the signaling routines.
A Reliable and Lightweight Trust Inference Model for Service Recommendation in SIoT

In the era of Internet of Things (IoT), millions of heterogeneous IoT devices generate an explosion of data and services waiting to be discovered. The convergence of IoT with social networks (SIoT) interconnects multiple IoT applications and alleviates the common data sparsity and cold start problems in traditional recommendation systems. However, the social trust relationships may also be very sparse, which affects the accuracy of trust-based recommendation systems. Meanwhile, mobile devices have limited resources and are more vulnerable to malicious attacks in the IoT environment. In order to complete the trust relationship and further improve the trust-based recommendation performance, we propose a reliable and lightweight trust inference model for service recommendation in SIoT, called TIRec. First, we obtain a comprehensive weighted centrality metric (LGWC) considering both local and global contexts. Based on this, we propose a corresponding lightweight trust path selection algorithm. Then, we present a reliable trust inference calculation algorithm consist of trust propagation and aggregation strategy, which can efficiently resist two common malicious attacks. Finally, we incorporate the rating, direct trust, and indirect trust together into the matrix factorization model, and integrate the influence of truster and trustee to obtain the synthetic model for rating predication. To the best of our knowledge, this article is the first to integrate trust inference algorithm into the trust-based recommendation systems. The extensive experiments are conducted on three real-world data sets, and the results show that our TIRec model performs better than other advanced recommendation models in both “all users” view and “cold start users” view.
The Λ and the CDM as Integration Constants

Notoriously, the two main problems of the standard ΛCDM model of cosmology are the cosmological constant Λ and the cold dark matter, CDM. This essay shows that both the Λ and the CDM arise as integration constants in a careful derivation of Einstein’s equations from first principles in a Lorentz gauge theory. The dark sector of the universe might only reflect the geometry of a spontaneous symmetry breaking that is necessary for the existence of spacetime and an observer therein.
Nutritional assessment in idiopathic pulmonary fibrosis: a prospective multicentre study

Background Nutritional status impacts quality of life and prognosis of patients with respiratory diseases, including idiopathic pulmonary fibrosis (IPF). However, there is a lack of studies performing an extensive nutritional assessment of IPF patients. This study aimed to investigate the nutritional status and to identify nutritional phenotypes in a cohort of IPF patients at diagnosis. Methods Patients underwent a thorough pulmonary and nutritional evaluation including questionnaires on nutritional status, and physical activity, anthropometry, body impedance, dynamometry, 4-m gait speed and blood tests. Results 90 IPF patients (78.9% males, mean age 72.7 years) were enrolled. The majority of patients were classified as Gender-Age-Physiology Index stage 2 (47, 52.2%) with an inactive lifestyle according to International Physical Activity Questionnaire score (39, 43.3%), and had mean forced vital capacity and diffusing capacity for carbon monoxide 86.5% and 54.2%, respectively. In regards to nutritional phenotypes, the majority of patients were normally nourished (67.8%, 95% CI 58.6–77.7%), followed by non-sarcopenic obese (25.3%, 95% CI 16.1–35.2%), sarcopenic (4.6%, 95% CI 0.0–14.5%) and sarcopenic obese (2.3%, 95% CI 0.0–12.2%). Among the normally nourished, 49.2% showed early signs of nutritional and physical performance alterations, including body mass index ≥30 kg·m−2 in 4.3%, history of weight loss ≥5% in 11.9%, and reduction of gait speed and hand grip strength in 11.9% and 35.6%, respectively. Low vitamin D values were observed in 56.3% of cases. Conclusions IPF patients at diagnosis are mainly normally nourished and obese, but early signs of nutritional and physical performance impairment can already be identified at this stage. Patients with IPF at diagnosis are mainly normally nourished and obese but early signs of nutritional and physical performance impairment can already be identified. Sarcopenia is identified only in a minority of cases; cachexia has not been observed. https://bit.ly/3kZuRh2
Infrared spatial interconnection rotary joint

This paper deals with the problem that a great number of rotary joints are suffering the conflict between high efficiency of signal dynamic coupling and low requirement of precision mechanism. As a solution, a specific design of the infrared spatial interconnection rotary joint is presented accompanying with the discussion of requirements for the mechanism and the circuit. Benefit from infrared data interconnection between the stator and the rotor, the security of data transfer is ensured and the off-axis angle can vary from 0º to 30º, which contribute to a simpler mechanism and a compact rotary joint. Relative experiment shows that with this rotary joint, signals can be transmit securely, and the efficient data transmission speed is up to 1.4Mbps under Windows 2000 circumstance.
The Relationship between Knowledge, Self-Efficacy, and Psychological Distress among Pdk Committees in Penang: A Preliminary Study

Copyright: © 2021 The Author(s) Published by Human Resource Management Academic Research Society (www.hrmars.com) This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
Emotional Intelligence Through Mathematical Resilience on Secondary Students Based on Gender

The low mathematical resilience of students, one of the factors is the fear of being wrong so that it shows things related to students' emotions. Mathematical resilience and emotional intelligence are interrelated, therefore students need to develop mathematical resilience and emotional intelligence to be ready to face challenges and be able to learn optimally. The purpose of this study is to analyze mathematical resilience on students' emotional intelligence based on gender in twelve different schools. The method used is descriptive qualitative. The population of this study was 814 students consisting of 301 male students and 513 female students. The selection of subjects in this study by looking at the category of Mathematical Resilience, namely high, medium and low. Subjects were selected using the Winsteps application by looking at the wright map table. From the total population, the researcher chose three subjects to be studied in depth. Furthermore, the selected subjects were asked to fill out an Emotional Intelligence questionnaire and interviewed by the researcher. The results of the analysis of ST who have high Mathematical Resilience have high Emotional Intelligence, ST are able to control themselves and have high interest in learning mathematics, SS who have moderate Mathematics Resilience have moderate Emotional Intelligence. In the learning process, SS does not focus on learning and is less able to explore its potential in depth. SR who have low Mathematical Resilience have low Emotional Intelligence as well. SR tends to give up easily and has low learning motivation. However, it should be noted that there is no gender difference in Emotional Intelligence, because this is based on the instrument or measuring instrument used in the study.
Hour-ahead demand forecasting in smart grid using support vector regression (SVR)

Summary Demand forecasting plays an important role as a decision support tool in power system management, especially in smart grid and liberalized power market. In this paper, a demand forecasting method is presented by using support vector regression (SVR). The proposed method is applied to practical hourly data of the Greater Tehran Electricity Distribution Company. The SVR parameters are selected by using a grid optimization process and an investigation on different kernel functions. Moreover, correlation analysis is used to find exogenous variables. Acceptable accuracy of load prediction is shown by comparing the result of SVR model to that of the artificial neural networks and the actual data, concluding that the method is applicable to day-ahead spot pricing of electricity in the liberalized power market. Copyright © 2013 John Wiley & Sons, Ltd.
Feedback information transfer in the human brain reflects bistable perception in the absence of report

In the search for the neural basis of conscious experience, perception and the cognitive processes associated with reporting perception are typically confounded as neural activity is recorded while participants explicitly report what they experience. Here we present a novel way to disentangle perception from report using eye-movement analysis techniques based on convolutional neural networks and neurodynamical analyses based on information theory. We use a bistable visual stimulus that instantiates two well-known properties of conscious perception: integration and differentiation. At any given moment, observers either perceive the stimulus as one integrated unitary object or as two differentiated objects that are clearly distinct from each other. Using electroen-cephalography, we show that measures of integration and differentiation based on information theory closely follow participants’ perceptual experience of those contents when switches were reported. We observed increased information integration between anterior to posterior electrodes (front to back) prior to a switch to the integrated percept, and higher information differentiation of anterior signals leading up to reporting the differentiated percept. Crucially, information integration was closely linked to perception and even observed in a no-report condition when perceptual transitions were inferred from eye movements alone. In contrast, the link between neural differentiation and perception was observed solely in the active report condition. Our results, therefore, suggest that perception and the processes associated with report require distinct amounts of anterior-posterior network communication and anterior information differentiation. While front-to-back directed information is associated with changes in the content of perception when viewing bistable visual stimuli, regardless of report, frontal information differentiation was absent in the no-report condition and therefore is not directly linked to perception per se.
Sleep disturbances and functional independence improvement in a population of individuals hospitalized in intensive rehabilitation units: observational study

Introduction: Quality of sleep in hospitals is an important issue, especially for rehabilitation patients. The aim of this study was to evaluate the development of sleep disturbances in a population of individuals hospitalized in intensive rehabilitation units and to investigate relationship with functional independence. Material and methods: The sample was evaluated with the General Sleep Disturbance Scale (GSDS-IT) and Bartel Index (IcaBI) three times: at admission (t0), seven days after admission (t1), and 25 days after admission (t2). The variation in sleep quality between t0-t1-t2 was calculated by performing a paired samples t-test between the scores’ averages. A comparison of the functional independence level evaluated thorugh IcaBI of subjects with and without sleep disorders according to GSDS-IT cut-off points was performed via an independent samples t-test between the averages of the scores obtained on the IcaBI at times t0 and t2. Results: 138 individuals were included in the study, 77 of whom completed the evaluation at t2. Comparison of the mean scores on the GSDS-IT showed a statistically significant worsening of the quality of sleep between t0-t1-t2 (p < 0.01). Comparison of the mean scores on the IcaBI showed a statistically significant improvement in functional independence between t0-t1-t2 (p < 0.01). The results showed no significant difference between those with or without sleep disorders in terms of improvement of IcaBI scores after 25 days of hospitalization. Conclusions: This study represent a starting point in highlighting the development of sleep disturbances during hospitalization in rehabilitation units, raising awareness about the importance of adequate sleep among vulnerable hospital population.
Cordless telephones and cellular radio: synergies of DECT and GSM

Cordless telephones have traditionally offered low-power, short-range domestic and office telecommunications, whereas cellular radio has offered longer-range, public-access capabilities at a premium price. Today's changing regulatory environment, accompanied by rapid technological developments, is beginning to offer network operators a range of new capabilities through the joint exploitation of these technologies. In this paper this changing environment is reviewed, some public-access cordless experiments are described and the future potential for dual-mode cordless-cellular integration is explored.
Evolutionary learning agents for shop floor control

We describe a novel approach for shop poor control combining a distributed multi-agent structure and computational intelligence techniques. Shop floor activities are controlled by a network of autonomous agents. Each agent makes its decision with a fuzzy algorithm evaluating all the alternative actions with multiple criteria based on real time measures of shop's conditions. A tuning mechanism of the decision algorithm allows agents to adapt themselves to the time varying operating conditions of the manufacturing system. The adaptation process follows a reinforcement learning schema. New agents are periodically created to replace the old ones according to the following strategy: the better the peformance of an agent in its life cycle, the higher the probability that new agents will inherit its decision rules. Preliminary experiments on a detailed simulation model of flexible assembling systems show the potentialities of the approach and suggest further improvements.
Soil-Pile-Superstructure Interaction in Liquefiable Sand

Soil-pile-superstructure interaction in liquefiable sand is evaluated using dynamic centrifuge model tests and pseudostatic p-y analyses. Select recordings from a recent centrifuge test are presented to illustrate typical behavior with and without liquefaction in an upper sand layer. Pseudostatic p-y analyses of single-pile systems in two recent centrifuge model tests show that the apparent reduction in p-y resistance due to liquefaction was strongly affected by changes in the relative density of the sand and drainage conditions.
The Natural Combination Medicine Traumeel (Tr14) Improves Resolution of Inflammation by Promoting the Biosynthesis of Specialized Pro-Resolving Mediators

The resolution of inflammation is an integral part of the acute inflammatory response and eventually leads to the return to homeostasis. It is supported by specialized pro-resolving mediators (SPMs) that act as immunoresolvents via specific G-protein-coupled receptors. In contrast to classical non-steroidal anti-inflammatory drugs (NSAIDs) that suppress the formation of pro-inflammatory lipid mediators such as prostaglandins, novel pharmacotherapeutic concepts propose to foster the biosynthesis of beneficial SPMs. Here, we demonstrate that the natural combination medicine Traumeel (Tr14) improves resolution of inflammation by promoting SPM formation. Tr14 enhanced the biosynthesis of 12-/15-lipoxygenase (LOX) products and of SPMs in zymosan-induced mouse peritonitis as well as in human monocyte-derived macrophages challenged with Staphylococcus aureus. Importantly, in the peritonitis model, Tr14 supported the recruitment of innate leukocytes and the efferocytotic capacity of macrophages, and positively influenced the inflammation resolution index. Taken together, we suggest that based on these properties Tr14 may possess therapeutic potential as an enhancer for the resolution of inflammatory processes.
An Implementation of a Pseudo-beat Presentation Device Affecting Emotion of a Smartphone Video Viewer

: We have developed a pseudo-beat presentation device that represents visual and tactile movements around a smartphone for the purpose of affecting emotions of a video viewer. The device controls multiple solenoids attached to the back of the smartphone and moves them as if they were human heartbeats in accordance with an emotion of a video content on the smartphone. The results of a usability evaluation experiment of the device showed that the heart rate of viewers who felt the pseudo-beats as their own heartbeats increased, and that the pseudo-beats increased emotional arousal of a calm scene in a video.
Nitrogen retention and ammonia production on tungsten

We report a systematic study that quantifies nitrogen retention and ammonia production on tungsten and that sheds light on the mechanism for ammonia formation on ITER’s divertor material. Saturation of the nitrogen-implanted layer in polycrystalline tungsten is observed at room temperature for a nitrogen ion fluence in the low 1021 N+ m−2 range. Nitrogen desorption from this N-implanted layer occurs in the 800–1100 K temperature range and exhibits a zero-order kinetics with an activation energy of 1.45 eV and a prefactor of 5 × 1024 m−2 s−1. Following nitrogen and deuterium co-implantation, deuterated ammonia production is observed during temperature programmed desorption between 350 K and 650 K in conjunction with deuterium desorption. In contrast, nitrogen desorption still occurs above 800 K. Significant production of ammonia is obtained only when the nitrogen layer created by ion implantation is approaching saturation and the amount of nitrogen lost to ammonia production is only in the percent range. This result is understood by repeating cycles of deuterium implantation and thermo-desorption below the desorption temperature of the nitrogen layer. The exponential decay of the amount of produced ammonia with cycle number demonstrates that nitrogen diffusion to the surface is negligible in the ammonia production temperature range and that ammonia formation occurs at the outermost surface layer. The maximum quantity of ammonia produced from the present N implanted layer is below 2 × 1018 ND3 m−2, which is limited by the nitrogen atom surface density. Surface vibrational spectroscopy demonstrates the presence of ammonia precursors on the nitrogen-implanted tungsten surface upon deuterium implantation. These ammonia precursors can be created also at room temperature through the dissociative chemisorption of thermal D2 catalysed by nitrogen present at the tungsten surface and, more efficiently, by adsorption of deuterium atoms.
Nanocrystalline Cellulose Supported MnO2 Composite Materials for High-Performance Lithium-Ion Batteries

The rate capability and poor cycling stability of lithium-ion batteries (LIBs) are predominantly caused by the large volume expansion upon cycling and poor electrical conductivity of manganese dioxide (MnO2), which also exhibits the highest theoretical capacity among manganese oxides. In this study, a nanocomposite of nanosized MnO2 and pyrolyzed nanocrystalline cellulose (CNC) was prepared with high electrical conductivity to enhance the electrochemical performance of LIBs. The nanocomposite electrode showed an initial discharge capacity of 1302 mAh g−1 at 100 mA g−1 and exhibited a high discharge capacity of 305 mAh g−1 after 1000 cycles. Moreover, the MnO2-CNC nanocomposite delivered a good rate capability of up to 10 A g−1 and accommodated the large volume change upon repeated cycling tests.
Reflection and transmission of P-waves at a very rough interface between two isotropic elastic solids

This paper deals with the reflection and transmission of P-waves at a very rough interface between two isotropic elastic solids. The interface is assumed to oscillate between two straight lines. By mean of homogenization, this problem is reduced to the reflection and transmission of P-waves through an inhomogeneous orthotropic elastic layer. It is shown that a P incident wave always creates two reflected waves (one P wave and one SV wave), however, there may exist two, one or no transmitted waves. Expressions in closed-form of the reflection and transmission coefficient have been derived using the transfer matrix of an orthotropic elastic layer. Some numerical examples are carried out to examine the reflection and transmission of P-waves at a very rough interface of tooth-comb type, tooth-saw type and sin type. It is found numerically that the reflection and transmission coefficients depend strongly on the incident angle, the incident wave frequency, the roughness and the type of interfaces.
Stasis Theory as a Strategy for Workplace Teaming and Decision Making

Current scholarship tells us that skills in teaming are essential for students and practitioners of professional communication. Writers must be able to cooperate with subject-matter experts and team members to make effective decisions and complete projects. Scholarship also suggests that rapid changes in technology and changes in teaming processes challenge workplace communication and cooperation. Professional writers must be able to use complex software for projects that are often completed by multidisciplinary teams working remotely. Moreover, as technical writers shift from content developers to project managers, our responsibilities now include user-advocacy and supervision, further invigorating the need for successful communication. This article offers a different vision of an ancient heuristic—stasis theory—as a solution for the teaming challenges facing today's professional writers. Stasis theory, used as a generative heuristic rather than an eristic weapon, can help foster teaming and effective decision making in contemporary pedagogical and workplace contexts.