Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of light absorption in ultrathin elliptical silicon nanowire arrays for solar cell applications

The present study proposes an elliptical silicon array for broadband absorption inside ultra-thin silicon solar cells (SCs). The simulation results suggest that breaking the arrangement of the nanowires (NWs) modifies the absorption intensities. The efficient design of irregular NWs can contribute to improved absorption of such structures in comparison with ordinary structures. Single elliptical NWs exert significant optical antenna effects, which enable higher absorption of particular frequencies. However, in the case of NW arrays enhanced absorption is the outcome of trade off between an optical antenna and diffraction effects. In this study, a structure composed of a semi-periodic NW is suggested which can achieve improved performance in ultra-thin silicon SCs.
Collaborative state estimation of lithium‐ion battery based on multi‐time scale low‐pass filter forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm

For the lithium battery management system and real‐time safety monitoring, two issues are of great significance, namely, the ability to accurately update the model parameters in real time and to accurately estimate the state of charge and health. In this context, this thesis adopts the second‐order RC equivalent circuit model and the forgetting factor recursive least squares ‐ double extended Kalman filtering (FFRLS‐DEKF) algorithm with multi‐time scales and low‐pass filter. Forgetting factor recursive least squares is applied to conduct online parameter identification, and the traditional double extended Kalman filtering algorithm is optimized to evaluate the state of charge and model parameters in the micro‐scale and macro‐scale. In this way, the error caused by two different characteristics is reduced, and a low‐pass filter is added to optimize the fluctuation problem of the estimated value of the model parameters. According to the experiment results, the maximum error between the model simulation value and the actual value of the terminal voltage is 0.0459 V. If the initial value of the state of charge deviates from the actual value, the maximum errors under BBDST and HPPC conditions record 0.0235 and 0.0048, respectively, the forgetting factor recursive least squares ‐ double extended Kalman filtering algorithm with multi‐time scales and low‐pass filter is able to track the true value within 40 s. Furthermore, the lithium‐ion battery state of health both reaches 98% under the two conditions. In summary, the experimental analysis shows that the algorithm helps reduce the influence of initial values on the results, thereby reducing error accumulation and improving the robustness.
Compressed sensing of multi-lead ECG signals by compressive multiplexing

Abstract Compressed Sensing has recently been proposed for efficient data compression of multi-lead electrocardiogram recordings within ambulatory patient monitoring applications, e.g. wireless body sensor networks. However, current approaches only focus on signal reconstruction and do not consider the efficient compression of signal ensembles. In this work, we propose the utilization of a compressive multiplexing architecture that facilitates an efficient implementation of hardware compressed sensing for multi-lead ECG signals. For the reconstruction of ECG signal ensembles, we employ an greedy algorithm that exploits their joint sparsity structure. Our simulative study shows promising results which motivate further research in the field of compressive multiplexing for the acquisition multi-lead ECG signals.
Understanding the Antecedents of Emotional Well-Being among University Students: Do Personality Traits Make a Difference?

Emotional well-being has been shown to be influenced by personality traits. However, little research has been done into how personality traits affect the relationship between actual use and emotional well-being. Since lecturers may develop a variety of pedagogical methods to ensure the effectiveness of the teaching and learning process during the Covid-19 pandemic, it is important to understand how the different personality traits of students may improve or weaken the relationship between actual use and emotional well-being. Hence, this study aims to examine the predicting factors that contribute to online learning acceptance among undergraduates, and to investigate the moderating effect of personality traits in the relationship between actual use of online learning and emotional well-being. In order to explore factors that affect students' emotional well-being, this study used and extended the Technology Acceptance Model (TAM) by incorporating emotional well-being as a new variable. An online survey was conducted among 247 respondents at Universiti Teknologi MARA Pahang who are currently undergoing online learning. SEM-AMOS was employed to test the developed hypotheses. Except for the relationship between perceived usefulness and attitude towards using online learning, all hypothesis showed significant results. In addition, personality traits moderate the relationship between actual use and emotional well-being. This study can help university administrators and educators identify effective online learning resources that will make it easier for undergraduates to use the platforms, reduce stress, and enhance their emotional well-being.
Evaluation of Efficacy of Percutaneous Nephrolithotomy in Prone Versus Supine Positions

Aims: To compare between supine and prone percutaneous nephrolithotomy (PCNL) in the management of renal stones regarding stone free rate, operative time and fluoroscopy time. Methodology: A retrospective analysis was performed in the period between January 2019 and January 2021 for patients underwent PCNL for renal stones 2 cm or more. They were 77 patients divided into two groups, group (A) prone 38 patients and group (B) supine 39 patients. Results: the study demonstrated a significant difference in operation time which was (92.5 ± 24.85 min.) in prone group & (68.3 ± 22.90 min.) in supine group with p-value (<0.001), also significant difference in fluoroscopy time which was (258.0 ± 57.19 sec.) in prone group & (166.9 ± 46.60 sec.) in supine group with p-value (<0.001) with shorter operation and fluoroscopy time in the supine than the prone. The study has also demonstrated that there is no statistically significant difference between the two groups as regarding to stone free rate. Conclusion: in patients with renal stones, 2 cm or more, supine PCNL has proved to be superior to prone PCNL as regarding operative and fluoroscopy time but no difference as regards stone free rate. However, Urologists should be familiar with the differences in the positions and be able to use the method appropriate for each patient.
Teaching Creatively in Higher Education: The Roles of Personal Attributes and Environment

ABSTRACT The aim of this study was to explore university teachers’ perceptions of creative teaching and other factors that may influence academics’ efforts to teach creatively in higher education in Sweden. A qualitative case study was employed, interviewing 14 university teachers in three focus group interviews. The results show that the university teachers’ perceptions of creative teaching differed slightly, yet were interconnected. They perceived creative teaching as an ability to engage students in learning, to solve problems in challenging teaching situations and introduce innovation or novelty into their teaching. The results also show that apart from personal attributes (e.g., imagination), environmental factors (e.g., departmental structure and culture) play an important role in enabling creative teaching practices.
Decoding Human Genome Regulatory Features That Influence HIV-1 Proviral Expression and Fate Through an Integrated Genomics Approach

Fundamental principles of HIV-1 integration into the human genome have been revealed in the past 2 decades. However, the impact of the integration site on proviral transcription and expression remains poorly understood. Solving this problem requires the analysis of multiple genomic datasets for thousands of proviral integration sites. Here, we generated and combined large-scale datasets, including epigenetics, transcriptome, and 3-dimensional genome architecture to interrogate the chromatin states, transcription activity, and nuclear sub-compartments around HIV-1 integrations in Jurkat CD4+ T cells to decipher human genome regulatory features shaping the transcription of proviral classes based on their position and orientation in the genome. Through a Hidden Markov Model and ranked informative values prior to a machine learning logistic regression model, we defined nuclear sub-compartments and chromatin states contributing to genomic architecture, transcriptional activity, and nucleosome density of regions neighboring the integration site, as additive features influencing HIV-1 expression. Our integrated genomics approach also allows for a robust experimental design, in which HIV-1 can be genetically introduced into precise genomic locations with known regulatory features to assess the relationship of integration positions to viral transcription and fate.
Reconfigurable transmitarray antennas at millimeter-wave frequencies

Several civil and military applications (hertzian beams, satellite communications, automotive radars, high resolution imaging systems) require antennas with reconfigurable beam capabilities (beam-scanning, beamshaping, multiple beam generation). Transmitarray antennas are good candidates and represent an alternative to classical phased arrays or reflect-arrays for these applications. The main objective of this thesis is to demonstrate the feasibility of reconfigurable transmitarrays fabricated with standard technologies in Ka-band (20-30 GHz). Different unit-cell designs based on p-i-n diodes have been developed to work in linear and circular polarization. Their optimization and experimental characterization have been performed. Waveguide measurements show insertion losses of 1.09 dB at 29.0 GHz with a 3-dB bandwidth of 14.7%. A hybrid simulation technique has been developed in order to analyze efficiently large transmitarrays in which the sequential rotation technique has been applied to optimize the polarization quality and the radiation patterns. A 400-elements transmitarray operating in circular polarization has been realized and tested in anechoic chamber. A beam-scanning angular coverage of ±60° and circular polarization selection (left/right) have been demonstrated.
Association of Weight at Different Ages and All-Cause Mortality Among Older Adults in the US

Objective: Assess the association of BMI and BMI change with mortality. Methods: Using data from the Wisconsin Longitudinal Study (WLS) on participants born mainly in 1939 (n=4922), we investigated the associations between various measures of BMI across the life course (age 54 BMI; age 65 BMI; age 72 BMI; lifetime maximum BMI; BMI change between ages 54 and 65; BMI change between ages 65 and 72) and mortality. We also assessed whether these associations are mediated by late life health. Results: BMI at age 54 was more strongly associated with late life mortality than BMI at older ages. The association between BMI change and mortality varied based on the timing of weight change. Health at age 72, particularly self-rated health, diabetes, and physical functioning, mediated the observed associations. Conclusion: Knowing older people’s weight at midlife and how their weight has changed may be more important in assessing late life mortality risk than their current weight.
INFLUENCE OF INTELLECTUAL CAPITAL ON COMPANY GROWTH WITH COMPANY PERFORMANCE AS INTERVENING VARIABLES

Intellectual capital is one of the knowledge assets owned by a company. This study aims to determine whether intellectual capital has a positive influence on the growth of companies with company performance as an intervening variable. This research takes a sample of companies engaged in hotels, restaurants, and tourism where the sector is one of the critical economic sectors in Indonesia. It is expected that intellectual capital will increase innovation so that it can attract consumers who ultimately improve performance. The data used in this study are financial data for 2009-2015 obtained from the financial statements of each company. The method used is a panel that is processed using e views 6.
The Comparative Analysis of Altman Z-Score, Springate, Zmijewski, And Internal Growth Rate Model in Predicting the Financial Distress (Empirical Study on Mining Companies Listed on Indonesia Stock Exchange 2014-2017)

This study aims to: (1) determine whether there are differences in scores between the Altman model, Springate, Zmijewski and Internal Growth Rate in predicting financial distress, (2) find out the most accurate prediction model in predicting financial distress of mining companies in Indonesia. The data used in this study is the company's financial statements published on Indonesia Stock Exchange. The population in this study is the mining companies listed on the Indonesia Stock Exchange during 2014-2017 which are 41 issuers. The sampling technique used purposive sampling so that 36 issuers were obtained as the research samples. This study compares the scores of four financial distress prediction models using statistical techniques and the accuracy of the prediction model by considering the level of accuracy and type I error. The conclusions from this study indicate the differences between the four prediction models. The Springate model is the best with an accuracy rate of 88.89% and an 8% type I error, the second is the Zmijewski model with an accuracy rate of 88.89% and a type I error rate of 42.86%, the third is the Altman model with 75% accuracy and error type I 46.67%, and the last is an internal growth rate model with an accuracy rate of 66.69% and type I error rate of 11.11%. Keywords: financial distress, financial statements, mining, prediction models
Gamma, alpha, and beta diversity of ant assemblages response to a gradient of forest cover in human‐modified landscape in Brazilian Amazon

The partitioning of gamma diversity into its alpha and beta components has been used to quantify the effects of natural habitat reduction on species diversity and distribution. Ant assemblages respond to anthropogenic changes, allowing their use as an indicator of biodiversity conservation in human‐modified landscapes. We investigated the responses of gamma, alpha, and beta diversity of ant assemblages to a forest cover gradient in southwestern Brazilian Amazon. Our prediction was that increasing forest cover would increase gamma diversity, which in turn is driven more by increasing beta diversity than alpha diversity along the forest cover gradient. Additionally, we expected that increasing beta diversity would be mainly driven by species replacement. We sampled ants within 12 circular areas (radius: 500 m) with different forest cover percentages in Chico Mendes Extractive Reserve, state of Acre, southwestern Brazilian Amazon. Gamma and beta diversity, but not alpha diversity, responded positively to the forest cover gradient. Additionally, species replacement was the main driver of beta diversity along the forest cover gradient. Areas with low levels of forest cover probably offer limited variation in habitats, resources, and conditions and, thus, harbor a low number of ant species that can easily disperse spatially and leading to species composition simplification. We recommend the use of diversity partitioning for indicator groups as an efficient way to monitor biodiversity and control the process of biota simplification at the human‐modified landscapes, showing the response of species diversity and distribution to human impacts.
The prioritized design elements for urban regeneration in the era of autonomous vehicles

ABSTRACT This study derives design elements for urban regeneration in the autonomous vehicle era through literature review and interdisciplinary discussions and prioritizes the design elements via expert survey and hierarchical composite analysis. The derived design elements were organized into five regeneration categories ―environment and landscape (EL), transportation and technology (TT), resource and energy (RE), society and culture (SC), and economy and industry (EI)― each with six design elements and their priorities were analyzed in relation to ten urban spatial types classified under four criteria. The most prioritized element among the 13 composite weighted design elements was inclusive design (TT1), followed by smart infrastructure (TT3), pedestrian friendly street (EL4), public open space (EL3), and renewable energy (RE3) with regards to spatial types of parking only (H), transportation infrastructure (J), and lower floors (B). This study contributes to the growing body of research on renewal of vehicle-occupied space in the autonomous future, thus assisting in the practical implementation of sustainable urban regeneration. Graphical Abstract
FORGIVENESS: CONCEPT, ITS APPLICATION IN PERSONAL AND PROFESSIONAL LIFE

Recent focus on Positive Psychology directs attention to study the Forgiveness in dealing with personal and professional life situations. In educational set-up, teacher needs to face divergent problems; teamwork with the associates of dissimilar opinions, empathy to the students of eccentric character and forgo friends/family-related conflicts are challenging tasks. This study aims to explore (1) how teachers define forgiveness (2) different influencing factors that lead to forgiveness at work and family, and (3) analyze the effectiveness of forgiveness in coping with professional and personal lives situations. Based on snowball sampling technique, the data from twenty one primary school teachers was collected through open ended interviews. Using Content Analysis Approach was used the study determines the values and application of forgiveness in the unique educational and cultural context of Pakistan. The findings show that religion, sense of accomplishment, need for affiliation/preserving relations and family background are significant drivers of forgiveness. Simultaneously, it reveals that forgiveness play essential role to manage officials, colleagues and student related conflicts such as work load, scarce resources, favoritism, criticism, egocentrism. In addition the findings reveals the positive effects of forgiveness in repairing broken relationships, encouraging positive emotions and influencing physical and mental wellbeing. This original study highlights the worth of forgiveness strategy and its practical implications would energize teachers to tackle personal and professional lives issues.
Rain‐Induced Stratification of the Equatorial Indian Ocean and Its Potential Feedback to the Atmosphere

Abstract Surface freshening through precipitation can act to stably stratify the upper ocean, forming a rain layer (RL). RLs inhibit subsurface vertical mixing, isolating deeper ocean layers from the atmosphere. This process has been studied using observations and idealized simulations. The present ocean modeling study builds upon this body of work by incorporating spatially resolved and realistic atmospheric forcing. Fine‐scale observations of the upper ocean collected during the Dynamics of the Madden‐Julian Oscillation field campaign are used to verify the General Ocean Turbulence Model (GOTM). Spatiotemporal characteristics of equatorial Indian Ocean RLs are then investigated by forcing a 2D array of GOTM columns with realistic and well‐resolved output from an existing regional atmospheric simulation. RL influence on the ocean‐atmosphere system is evaluated through analysis of RL‐induced modification to surface fluxes and sea surface temperature (SST). This analysis demonstrates that RLs cool the ocean surface on time scales longer than the associated precipitation event. A second simulation with identical atmospheric forcing to that in the first, but with rainfall set to zero, is performed to investigate the role of rain temperature and salinity stratification in maintaining cold SST anomalies within RLs. Approximately one third, or 0.1°C, of the SST reduction within RLs can be attributed to rain effects, while the remainder is attributed to changes in atmospheric temperature and humidity. The prolonged RL‐induced SST anomalies enhance SST gradients that have been shown to favor the initiation of atmospheric convection. These findings encourage continued research of RL feedbacks to the atmosphere.
The Role of Compensation As a Determinant of Performance and Employee Work Satisfaction: A Study at The PT Bank Rakyat Indonesia (Persero) Tbk

PurposeThe purpose of the study is to conduct an in-depth study of employee performance in connection with compensation, job satisfaction and the work environment of employees at the PT Bank Rakyat Indonesia (Persero) Tbk.Design/methodology/approachThis study was performed at the PT Bank Rakyat Indonesia (Persero) Tbk, which operates in Indonesia, and included all employees of the different branch offices in Sumatera, Jawa, Kalimantan, Sulawesi, Bali and Jayapura.FindingsCompensation does not directly affect employee performance but working environment does directly influence employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk. There is the power of compensation and working environment on job satisfaction and employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk.Originality/valueThe difference between this research and previous ones is the application of compensation influence testing on employee job satisfaction and performance within one bank in Indonesia.
High efficiency processing for reduced amplitude zones detection in the HRECG signal

Summary – This article presents part of a more detailed research proposed in the medium to long term, with the intention of establishing a new philosophy of electrocardiogram surface analysis. This research aims to find indicators of cardiovascular disease in its early stage that may go unnoticed with conventional electrocardiography. This paper reports the development of a software processing which collect some existing techniques and incorporates novel methods for detection of reduced amplitude zones (RAZ) in high resolution electrocardiographic signal (HRECG). The algorithm consists of three stages, an efficient processing for QRS detection, averaging filter using correlation techniques and a step for RAZ detecting. Preliminary results show the efficiency of system and point to incorporation of techniques new using signal analysis with involving 12 leads.
High Efficiency Membrane Technology in Microfluidic Systems

ABSTRACT The combination of membranes and microfluidic systems has been applied in areas such as bioscience, environmental and analytical chemistry, and in the past time research into the integration of membrane mass transfer control functions into microfluidic devices has shown a significant growth trend. The multiple uses of membrane-based microfluidic systems have been demonstrated in published reports. The aim of this paper is to provide an overview of the development process in this field, starting with the basic terminology of microfluidic and membrane processes and outlining membrane-based microfluidic platforms that combine the two, followed by a classification of membrane integration on a chip based on the preparation methods used to combine the two. Three membrane functions that membranes can perform in microfluidic systems are then discussed; they are separation and enrichment of substances, immobilization and culturing of cells, and fluid control of pumps and valves. Finally, several possible research directions and related issues for membrane-based microfluidic platforms are presented, providing a deeper reference for future research combining membranes with microfluidic platforms.