Miracle-dz/UniFAR-FTUs huggingface dataset:
Procrastination is not only a “thief of time”, but also a thief of happiness: it buffers the beneficial effects of telework on well-being via daily micro-events of IT workers

PurposeThis study draws on the affective events theory (AET) to understand how telework may influence workers' well-being. Hence this study aimed to (1) analyze the indirect relationship between telework and well-being via daily micro-events (DME), and (2) test whether procrastination would moderate this indirect effect.Design/methodology/approachTo test the goals, data were gathered from a sample of teleworkers in the IT sector (N = 232). To analyze the data, a moderated mediation analysis was performed in SPSS with PROCESS macro.FindingsThe results showed that micro-daily events mediated the positive relationship between telework and well-being; however, this relation was conditional upon the levels of workers' levels of procrastination, that is, this link became weaker for those who were procrastinators.Practical implicationsBy highlighting the importance of telework, DME and procrastination, this study offers managers distinct strategies for enhancing their employees' well-being.Originality/valueDespite the existing research investigating the effect of telework on well-being, studies investigating the intervening mechanisms between these two constructs are scarce. Moreover, there is a lack of research investigating the moderating effect of procrastination in these relations. Hence, this study fills these gaps and advances knowledge on the process that explains how (via DME) and when (when procrastination is low) teleworking influences workers' well-being.
Optimal Design for UAV-Assisted Energy Constrained Communication: Joint Power Control and Continuous Trajectory Design

For unmanned aerial vehicle (UAV)-assisted wireless networks, the continuous trajectory designs generally suffer from infinite number of variables of the continuous UAV trajectory. In this paper, to avoid unexpected trajectory approximation and overcome the difficulty in obtaining an accurate continuous trajectory, we aim at characterizing an analytical optimal solution for jointly designing the resource allocation and continuous UAV trajectory. We focus on a scenario with UAV at a fixed altitude being deployed to assist the wireless communication with a ground user. With limited energy accessible for the wireless transmissions, we construct a throughput maximization problem for jointly optimizing the continuous transmit power and the UAV's continuous trajectory. Via duality analysis, we obtain the features of the optimal power control and successfully convert the dual problem to a series of pure trajectory design problems, which can be optimally addressed based on a mechanical equivalence approach. Afterwards, we accordingly propose an algorithm for optimally solving the dual problem, from which the optimal joint solution can be analytically constructed in a closed form. Finally, we also verify our proposed algorithm and confirm the optimality of the obtained solution via simulations.
Non-linear phenomena in electrical circuits: Simulation of non-linear relativistic field theory and possible applications

We propose the non-accelerator non-low-temperature simulator of quantum-field effects which is based on the feeder circuits with the special feedback. By means of it one can study the field models which contain fundamental concepts in the modern field theory but do not exist in nature in a separate form. Besides, several field phenomena might find technological applications by virtue of the electrical analogy.
Accurate Calculation Method of Rectifier Load and Time-Domain Analysis in PS/S Current-Fed WPT System

The fundamental harmonic approximation method is the main research method of wireless power transfer (WPT) technology. This method equates the rectifier load fundamental impedance to a pure resistance, which provides a basis for modeling and analysis of the WPT system. However, this method ignores the effect of rectifier load harmonic impedance, which leads to a large error between the actual response and the theoretical analysis, affects the model accuracy of the system and limits the further optimization design of WPT system. In this paper, the WPT system based on parallel-series/series (PS/S) compensation network is taken as the research object, the reason for the error generated by the fundamental harmonic approximation method is analyzed and an accurate calculation method based on the iterative method for the rectifier load equivalent impedance is proposed. On this basis, an accurate circuit response model of the WPT system is established. Finally, the correctness of the system response model is verified through simulation.
Non-Intrusive Load Decomposition Based on Graph Convolutional Network

Demand-side power management and energy efficiency analysis are crucial to reducing energy consumption and improving power efficiency. Non-intrusive load decomposition is one of the important links to improve demand-side power management and energy efficiency analysis. In view of the fact that most of the current non-intrusive load decomposition methods focus on the analysis of traditional load characteristics and the optimization of algorithms, and lack of sufficient mining of user’s electricity behavior habits, a nonintrusive load decomposition model based on graph convolutional network (GCN) is proposed. The model firstly constructs the power sequence into graph data as network input based on the spectral graph theory, using the time characteristics extracted from the user’s electricity behavior habits. Then, based on the graph convolutional neural network, the power attribute features of each electrical appliance and its time-related structural features are extracted to achieve non-intrusive load decomposition. Specifically, it has a total of five layers of structure, including four layers of graph convolution layer and one layer of graph pooling layer. The ReLu activation function is used to improve the nonlinear expression, the dropout and L2 regularization measures are used to alleviate overfitting, and the bath size is used to improve the training speed. AMPds2 dataset is used for experimental testing. The experimental results show that the proposed decomposition model can accurately detect the switches of electrical appliances, and achieve better decomposition and effective tracking of the power of each electrical appliance.
Unmet Medical Needs and Early Referral of Pediatric Atopic Dermatitis: An Expert Modified Delphi Consensus from Saudi Arabia

Atopic dermatitis (AD) is a chronic skin disease with increasing prevalence worldwide. It is characterized by pruritic eczematous lesions, affecting up to 20% of the children and negatively impacting their quality of life. Guidelines for AD management are available worldwide, but specific guidelines for pediatric AD in Saudi Arabia are lacking. This consensus document aims to identify the needs for the diagnosis and management of pediatric AD in Saudi Arabia by gathering the opinions and recommendations of key experts. We conducted a three-step modified Delphi method to develop the present consensus. The experts agreed that pediatricians and dermatologists commonly encounter AD; however, it is still under-recognized in its early stage in Saudi Arabia. The family physicians should be involved in assessing suspected children with a family history of atopy, particularly in patients with isolated lesions. Further, the experts confirmed that AD diagnosis should be documented, showing assessment criteria used, key morphological characteristics, and features used to ascertain the severity of the disease. There is still a need for simple validated diagnostic criteria suitable for daily practice for pediatric AD. The experts highlighted several medical conditions that pertain to the diagnosis and management of AD in Saudi Arabia.
Demographic Variables as Predictors of Youths Susceptibility to Suicide in Kogi State, Nigeria

This study investigated the relationship between age, gender, family background and socio-economic status and youth susceptibility to suicide in Kogi State, Nigeria. The study adopted descriptive survey research design. The population consisted of all youth in Kogi state while the sample comprised of 456 youths between the ages of 15-30 years in two out of the three senatorial districts in Kogi state (Kogi Central and Kogi West) Stratified random sampling technique was used for selection of sample to cater for gender of the youths. The instrument was a questionnaire designed by the researchers. The validity of the instrument was done through face and content validity procedures by experts in Social Studies and Test and Measurement while the reliability was established using test- re- test method. The reliability coefficient of 0.81 was obtained. The number of youth selected for the study was 76 in each local government to make a total of 456. Four research hypotheses were generated and tested at 0.05 level of significance. The data collected were analysed using Mean, Standard Deviation, Frequency counts and Pearson Product Moment Correlation statistical tools. The study found that there was a significant relationship between age, gender, family background, socio-economic status and youth susceptibility to suicide in Kogi State. It was concluded that lack of moral and social supports to the youth, family instability and poor economic condition contributed immensely to youth susceptibility to suicide in Kogi state. It was therefore recommended that parents should provide moral and social supports to their children and avoid erroneous behaviours that can lead to family disruptions. Government also should provide counseling services in all institutions of learning.
Water Relations in Apple Seedlings: Changes in Water Potential Components, Abscisic Acid Levels and Stomatal Conductances under Irrigated and Non-irrigated Conditions1

Stomatal conductance, abscisic acid levels, and water potential components (water, osmotic, and rurgor potentials) were measured in irrigated and non-irrigated open pollinated seedlings of ‘Northern Spy’ apples (Malus domestica Borkh.). Although non-irrigated seedlings typically displayed water potentials of 0.2 to 0.6 MPa lower than those of irrigated seedlings, turgor potentials remained comparable in both groups, Because diurnal osmotic adjustment was also greater for non-irrigated seedlings. Abscisic acid (ABA) levels in the leaf increased linearly in response to changes in leaf turgor, rather than water potential. Stomatal conductance was independent of bulk leaf ABA levels and was poorly correlated with leaf turgor potential above a critical value of 0.7 MPa.
Pengaruh Manajemen Laba, Kompleksitas Operasi Perusahaan, Solvabilitas, dan Opini Audit Terhadap Audit Delay Pada Perusahaan Sektor Industri Barang Konsumsi di Indonesia Untuk Tahun 2017-2019

This research purposes to observe the result of Earnings Management, Complexity of Company Operations, Solvency, and Audit Opinions on Audit Delay by the object of research is consumer goods industry sector companies in Indonesia on 2017-2019. This research is include in category of explanatory research which will explain the level of each variable and conduct hypothesis testing to explain the correspondence among the variables in this research. The approachs research is quantitative approach as the data is numbers in the companys financial statements. This research population is Consumer Goods Industry Sector Companies in Indonesia registered on Indonesia Stock Exchange. While, number of samples is 30 corporations in consumer goods industry sector and nominated by purposive sampling technique. The category of data analysis used multiple linear regression analysis using SPSS 23.0 software for windows programs. The existence of substantial result on Audit Delay since the variables of Earnings Management, Complexity of Company Operations, Solvency, and Audit Opinions simultaneously be able to proven in this research. A substantial result is given to Earnings Management on Audit Delay. The Complexity of Company Operations has a substantial positive result on the Audit Delay variable. A substantial negative result is given to Solvency on Audit Delay variable. Meanwhile, Audit Opinions has no substantial result on Audit Delay.
Dampak Motivasi Investasi, Persepsi Resiko, Literasi dan Efikasi Keuangan Terhadap Minat Mahasiswa Berinvestasi Di Pasar Modal

In an effort to grow the interest of student investment in the capital market. This research aims to find out the impact of investment motivation, risk perception, financial literacy and financial efficacy on students' interest in investing in capital markets. The study used primary data obtained from questionnaire results. The object in the study is an active student of Nahdlatul Ulama University Surabaya. The population of this study is 4.571 students. The sample selection technique used is Purposive Sampling so that it obtains a sample of 242 students who have attended seminars / training / investment courses or capital markets. This research uses a quantitative approach. The data was analyzed using SPSS version 25. The results of this study show that investment motivation and financial literacy have a positive impact while risk perception and financial efficacy have no impact on students' interest in investing in capital markets.
Associations between urate levels and amyotrophic lateral sclerosis functional score with edaravone treatment: Post hoc analysis of studies MCI186‐16, MCI186‐17, and MCI186‐19

Edaravone in amyotrophic lateral sclerosis (ALS) was analyzed in two phase 3 studies (MCI186‐16 and MCI186‐19). Those trials enrolled patients with Japanese ALS severity grades 1 and 2 (less severe ALS), but many patients progressed to grades 3 and 4 during the double‐blind treatment period. The placebo patients who initiated edaravone treatment in the open‐label periods provided an opportunity to assess the effects of edaravone in more severe ALS. This study also assessed the association between ALS Functional Rating Scale‐Revised (ALSFRS‐R) slope and biomarker changes after open‐label edaravone initiation.
The Shrinkage of Lake Lop Nur in the Twentieth Century: A Comprehensive Ecohydrological Analysis

A comprehensive ecohydrological analysis is designed to understand the formation and evolution of lake Lop Nur and the environmental change over the Tarim River basin. Three temporal scales from century-based climatological mean to decade-based quasi-steady state change and to annual-scale-based abrupt change test are included. Combining the Budyko and Tomer–Schilling framework, this research first analyzes hydroclimatic and ecohydrological resistance/resilience conditions, then attributes observed changes to external/climate impact or to internal/anthropogenic activities, and finally diagnoses the possible tipping point on ecohydrological dynamics. (i) The arid regions reveal less sensitivity in terms of low variabilities of excess water W and energy U and show high resilience, which will more likely stay the same pattern in the future. (ii) Present towns situated in the semiarid regions with a natural hydraulic linkage with the mainstream of the Tarim River show a higher sensitivity and likelihood to be affected if drier scenarios occurred in the future. (iii) The attribution from two subsequent quasi-steady states indicates increasing effects of the anthropogenic activities increase (1961–80 versus 1981–2000) and provides climatical evidence that the central Tarim River basin was getting wetter before 1960 and then kept drying afterward. (iv) In the Kongqi subcatchment, the excess water reveals a significant decrease-then-increase evolution, from which the years with abrupt changes are observed in the 1960s. Generally, both points iii and iv are in agreement with that the closed-basin lake Lop Nur desiccation until the 1970s and its connection with the eastern part of the Taklamakan Sand Sea.
Physical Layer Defense against Eavesdropping Attacks on Low-Resolution Phased Arrays

Eavesdropping attacks are a severe threat to millimeter-wave (mmWave) networks that use low-resolution phased arrays. Although directional beamforming in mmWave phased arrays provides natural defense against eavesdropping, the use of low-resolution phase shifters induces energy leakage into unintended directions. This energy leakage can be exploited by the adversaries. In this paper, we propose a directional modulation (DM)-based defense against eavesdropping attacks on low-resolution phased arrays. Our defense technique applies random circulant shifts to the beamformer for every symbol transmission. By appropriately adjusting the phase of the transmitted symbol, the transmitter (TX) can maintain a high-quality link with the receiver while corrupting the symbols transmitted along unintended directions. We theoretically analyze the secrecy mutual information (SMI) achieved by the proposed defense mechanism and show that our defense induces artificial phase noise (APN) along unintended directions, which increases the SMI of the system. Finally, we numerically show the superiority of the proposed defense technique over the state-of-the-art defense techniques.
Wavelet Based Denoising for the Estimation of the State of Charge for Lithium-Ion Batteries

In practical electric vehicle applications, the noise of original discharging/charging voltage (DCV) signals are inevitable, which comes from electromagnetic interference and the measurement noise of the sensors. To solve such problems, the Discrete Wavelet Transform (DWT) based state of charge (SOC) estimation method is proposed in this paper. Through a multi-resolution analysis, the original DCV signals with noise are decomposed into different frequency sub-bands. The desired de-noised DCV signals are then reconstructed by utilizing the inverse discrete wavelet transform, based on the sure rule. With the de-noised DCV signal, the SOC and the parameters are obtained using the adaptive extended Kalman Filter algorithm, and the adaptive forgetting factor recursive least square method. Simulation and experimental results show that the SOC estimation error is less than 1%, which indicates an effective improvement in SOC estimation accuracy.
Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles

We developed a distributed data mining system to elaborate on a decision concerning the cause of urban traffic congestion via emerging connected vehicle (CV) technology. We observe this complex phenomena through the interactions between vehicles exchanging messages via vehicle to vehicle communication. Results are based on real-time simulation generated scenarios extended from the real-world traffic travel and activity patterns simulation cologne scenario. We evaluate a voting procedure that provides deeper insights using cooperation between vehicles, belief functions (BF) aimed at improving representation of information and a data association technique (DAT) aimed at data mining and extracting the association rules from the exchanged messages. Methods are tested and compared using a microscopic urban mobility simulator, SUMO, and a network simulator, ns-2, for the simulation of communication between CVs. Compared with the back-propagation algorithm (BP) extensively used in the past literature, our performance evaluation shows that the proposed methods enhance the estimation of the cause of congestion by 48% for the proposed VP, 58% for the BF, 71% for the DAT, and 70% for $\beta $ -DAT. The methods also enhance detection time from 7.09% to 10.3%, and $\beta $ -DAT outperforms BP by approximately 1.25% less false alarms triggered by the network, which can be significant in the context of real-time decision making. We show that a market penetration rate between 63% and 75% is enough to ensure satisfactory performance.
Prédiction en ligne par apprentissage et exploitation des caractéristiques géométriques des signaux

En commande des systemes, l'anticipation pure apparait comme la meilleure solution mathematique au probleme de l'asservissement des sorties aux consignes, que celles-ci soient connues a priori (cas des systemes de regulation] ou pas (cas des systemes de poursuite de trajectoire). D'un point de vue formel, cela est obtenu en mettant le systeme a asservir en cascade avec son systeme inverse. Cette solution n'est toutefois pas realisable physiquement, car le modele du systeme n'est que rarement complet. De plus, le systeme inverse est souvent instable. Enfin, les perturbations observees, soit en sortie, soit en entree, rendent difficile l'acces a une solution satisfaisante. Dernier aspect : pour etre exploitable, l'anticipation doit se faire en temps reel. La methode presentee ici tente d'apporter une solution rapide et robuste au probleme de prediction. Elle utilise a la fois les proprietes geometriques du signal a predire a l'instant considere (procedure locale), ainsi qu'une base d'apprentissage constituee d'observations passees (procedure globale). Les performances du predicteur sont evaluees par quelques exemples significatifs et comparees aux performances d'autres predicteurs.
Monetary Valuation of German Floodplain Ecosystem Services– a meta-analysis Evaluation monétaire des services écosystémiques des zones inondables allemandes – une méta-analyse

RÉSUMÉ Les zones inondables fournissent une multitude de services écosystémiques (SE) et, en tant que telles, représentent l'un des écosystèmes les plus valorisés à l'échelle mondiale, lorsqu'ils sont évalués en termes monétaires. Cependant, nous demandons si cette analyse globale s'applique également aux zones inondables allemandes où les pertes sont très élevées et leur caractère naturel soit faible. Nous menons une méta-analyse des études d'évaluation des SE des zones inondables allemandes exis-tantes. Nous utilisons l’ensembles des données produits par van der Ploeg et de Groot (2010), Förster et al. (2019) et Perosa et al. (2021) qui ont posé une question similaire pour une couverture géogra-phique plus grande que l’Allemagne seule. Cela a été ensuite compléter par une recherche systéma-tique à l'aide de Web of Science et par la «littérature grise» pour avoir une taille suffisante de l’échan-tillon de méta-analyse. Parmi les études identifiées, 16 études avec 53 points de données étaient per-tinentes pour l'inclusion dans la méta-analyse. La purification de l'eau, l'atténuation du changement climatique et la biodiversité sont les SE les mieux représentés. Généralement, la plupart des études portent sur plusieurs ABSTRACT Floodplains provide a multitude of ecosystem services (ES) and as such represent one of the most valued ecosystems globally, when assessed in monetary values. However, we ask if this global analysis also applies to German floodplains where floodplain losses are very high, and naturalness is low. We conduct a meta-analysis of the existing German floodplain ES valuation studies that used willingness to pay or cost-based approaches. To conduct the required systematic literature review for a meta-analysis, we use the datasets produced by van der Ploeg and de Groot (2010), Förster et al. (2019), and Perosa et al. (2021) who asked a similar question for a larger geographical coverage than just Germany. This was then complemented by a systematic search using Web of Science and by the relevant “grey litera-ture” to have a sufficient meta-analysis sample size. Out of the studies identified, only 16 studies with 53 data points were relevant for inclusion in the meta-analysis. Water purification, climate mitigation, and biodiversity are the best represented ES. Generally, most studies look at several ES, with an average monetary value of 677 € 2015 ha -1 yr -1 . The variance in valuation estimates is high and the willingness to pay differs from cost-based approaches. Therefore, there is a significant value added to conduct such a meta-analysis to understand this variation and to create a robust monetary value of key ES.