Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Assessment and Identification of Leadership in College Students

As one of the 21st Century skills, fostering leadership competencies in college students has been a focus of research in the behavioral education field. While leaders are expected to have general leadership traits such as communication and resource management, leading teams in particular expertise areas requires additional skills specifically tailored to the tasks involved. For example, in information technology (IT), the roles of leaders are different from those in other non-IT fields due to the characteristics of IT projects. IT leaders, in particular, are required to have not just managerial and interpersonal skills but also necessary technical and practical capabilities. Understanding the key elements that contribute to the emergence and development of student leaders necessitates the ability to assess and recognize leadership in college students. However, current approaches for measuring leadership qualities entail administering questionnaires, which have coverage constraints and may mislabel future leaders if the survey is administered too early in a student’s educational phase, when their leadership talents may not have emerged yet. Addressing this problem, this paper introduces LAIGA, a machine learning-based framework for automatically and passively assessing and identifying leaders in college students from their academic profiles and behavior in the learning management system (LMS). The proposed technique can capture students’ actions that indicate general leadership qualities and technical competence, as evidenced by their academic performances. Specifically, we address two problems: leadership assessment and leader identification tasks. A case study of senior-year college students in the IT major is used to validate the proposed method, yielding 5.87% MAPE in the leadership assessment task and 83.2% F1 in the leadership identification task. Furthermore, the results also show that the proposed method can forecast leadership assessment and identification after graduation, knowing as little as students’ information during their first year of study. The findings of this study not only shed light on the ability to use machine learning technologies to automatically assess and identify leadership in college students but also allow educational organizations to understand factors that help develop leadership skills and design mechanisms that promote the growth of student leaders. The proposed method is highly generalizable to other fields of study as long as students’ grades and LMS activities are available.
Fast Stable STAP Algorithms Based on Feedback Orthogonalization

The aim of this paper is to present a new fast-convergent numerically stable space-time adaptive processing (STAP) algorithm derived using a novel technique of feedback orthogonalization. The main advantages of this approach lie in its perfected stability to computational errors and faults which makes its real-time implementation on substantially faster and cheaper regular fixed-point processors possible.
THEORY AND APPLICATION OF THE NOTION OF COMPLEX SIGNAL

Abstract : The present article is a contribution to the problem of the composite representation of a signal by a two-dimensional distribution of energy in a domain defined by two axes, the time axis and the frequency axis. The author proposes such a distribution, using operators analogous to those used in quantum mechanics. He thus obtains a definition of the instantaneous spectrum of a signal, and of the distribution of the energy corresponding to one frequency. By integration (with respect to time) of the instantaneous spectrum (which varies with time) the spectrum, in the usual sense of the word, is recovered. The author defines the instantaneous frequency of a signal in the same way, using the notion of a complex signal (obtained by the complex extension of the real signal when time is considered as a complex variable). These notions of instantaneous frequency and of the instantaneous spectrum are introduced to furnish a firm theoretical basis for studies of frequency modulation, of continuous harmonic analysis, of frequency compression, and, in a general way, of all the problems for which classical harmonic analysis furnishes a description which departs too far from physical reality. (Author)
Evaluation of Management of the Use of Information and Communication Technology

These stages in Terry's management function are known as Planning, Organizing, Actuating, and Controlling (POAC). To measure the success of the use of information and communication technology in the learning space, an evaluation of the management stages that are carried out is needed. Stufflebeam's Model or CIPP Model is an evaluation model that can be used to evaluate the extent to which an educational program can achieve its goals. Madrasah Aliyah (MA) Al-Musthofa is one of the madrasas that used information and communication technology in the learning room. The management stages become a reference for Madrasah aliyah Al-Musthofa in the use of information and communication technology in the learning room. This research with a descriptive qualitative approach provides an evaluation description that the management function has been carried out well by Madrasah Aliyah Al-Musthofa but there are still various shortcomings and weaknesses both in terms of human resources and other resources. These shortcomings and weaknesses have an impact on not achieving the objectives of the use of information and communication technology in the learning space at Madrasah aliyah al-Musthofa.
Deep Learning untuk Klasifikasi Glaukoma dengan menggunakan Arsitektur EfficientNet

ABSTRAKGlaukoma merupakan kerusakan yang terjadi pada saraf mata yang disebabkan oleh meningkatnya tekanan di bola mata. Glaukoma dapat menyebabkan penderitanya mengalami kebutaan permanen. Data dari WHO, jumlah orang yang diperkirakan menjadi buta akibat glaukoma primer adalah 4,5 juta. Penilaian klasifikasi tingkatan glaukoma oleh ophthalmologist menggunakan nilai CDR (Cup to Disc Ratio). Maka dari itu, dibuat sistem yang dapat digunakan dalam mengklasifikasikan glaukoma melalui citra fundus mata dengan menggunakan metode CNN (Convolutional Neural Network) dengan arsitektur EfficientNet. Klasifikasi glaukoma dibagi menjadi 5 kelas, yaitu deep, early, moderate, OHT dan normal. Citra mata yang digunakan didapatkan dari dataset RimOne r1. Penelitian ini mencari sistem dengan performansi terbaik. Model yang mendapatkan parameter performansi terbaik adalah citra dengan hyperparameter optimizer Adamax, learning rate 0,001, epoch 20, dan batch size 32. Akurasi, presisi, recall, dan F1-Score masing-masing mencapai 1,0000.Kata kunci: Glaukoma, Convolutional Neural Network (CNN), EfficientNet ABSTRACTGlaucoma is the optic nerve damage caused by increasing pressure on the eyeball. Glaucoma can cause patients to encounter permanent blindness. According to WHO data, the number of people estimated to be blind from primary glaucoma is 4,5 million. Evaluation of glaucoma grade classification by ophthalmologist uses CDR (Cup to Disc Ratio) value. Therefore, a system has been created that can be used to classify glaucoma through eye fundus images using the CNN (Convolutional Neural Network) method with EfficientNet architecture. Glaucoma is classified into 5 classes, namely deep, early, moderate, OHT and normal. The used eye image is obtained from the RimOne r1 dataset. This research is looking for a system with the best performance. The model that got the best performance parameters with the hyperparameter optimizer Adamax, learning rate 0,001, epoch 20, and batch size 32. Accuracy, precision, recall, and F1-Score each reached 1,0000. Keywords: Glaucoma, Convolutional Neural Network (CNN), EfficientNet
Aerial Device Delivery for Power Line Inspection and Maintenance

The inspection and maintenance of power lines with aerial robots requires to decrease as much as possible the performance time given the limited capacity of the batteries and the vast extension of this kind of infrastructure. In order to avoid the waste of time associated to the take-off and landing maneuvers, this paper proposes the use of aerial manipulation robots for fast and safe delivery in flight of devices and tools. Two use cases are considered. In the first one, a device delivery multirotor (DDM) is used as supplier for a device installation robot (DIR), consisting of a dual arm aerial manipulator in long reach configuration. The vertical separation distance between DIR and DDM associated to the long reach link contributes to reduce the risk of collision and the downwash effect over the DDM. In the second case, the DIR is used to deliver tools to human operators quickly and safely, avoiding hazardous situations during the handover thanks to the long reach configuration. The paper also analyzes the aerodynamic downwash effect of two multirotors flying vertically at distances determined by the long reach link through Computational Fluid Dynamics (CFD) simulation. Experimental results in an indoor testbed validate the proposed application.
Evaluation of Single Visit Endodontic Treatment Outcome in Teeth with Asymptomatic Necrotic Pulp and Apical Periodontitis Using EndoVac Irrigation Device: Randomized Controlled Clinical Trial

Purpose: This study evaluated the effectiveness of using EndoVac irrigation device on microbial reduction and postoperative pain in single rooted teeth with necrotic teeth and apical periodontitis after single visit treatment. Subjects and Methods: Thirty six single rooted teeth from patients of age range between 20 and 50 years old were involved in this study. According to irrigation procedures, patients were assigned randomly and equally into two groups of 18 teeth per group. Group I (conventional irrigation) and Group II (EndoVac irrigation). Irrigating solution for both groups was 2.5% sodium hypochlorite. All patients were treated in a single visit. The access cavity was prepared, and a microbiological sample (S1) was obtained. The root canal was chemomechanically prepared with ProTaper rotary instruments up to #F4. Finally, after irrigation activation, the second microbiological sample (S2) was collected. Samples were cultured on plates of nutrient agar, incubated for one day at thirty seven °C, and colony forming units (CFU) were counted and recorded. The primary outcome assessed microbial reduction in both groups. The pain was measured using a Numeric rating Scale (NRS) at 6, 12, 24, and 72 hours to determine the secondary outcome. Results: The mean percentage reduction in microbial count in Group II was statistically significantly higher than in Group I (P ≤ 0.05). Conventional group (G I) showed statistically significantly higher pain scores than EndoVac group (G II) (P ≤ 0.05). Conclusion: In necrotic teeth with apical periodontitis, EndoVac could be utilized as an adjunct to conventional root canal irrigation.
Spin-valley polarized edge states in quasi-one-dimensional asymmetric kagome lattice

The spin-valley-related electronic properties of quasi-one-dimensional kagome lattices with intrinsic spin-orbit coupling are studied, based on the tight-binding formalism. Three types of kagome-lattice nanoribbons along the x-direction with various geometric boundaries are proposed, including two symmetric nanoribbons and one asymmetric one. It is found that two nonequivalent Dirac cones and helical edge states exist in all the three types of kagome-lattice nanoribbons at 1/3 filling. Among them in the asymmetric nanoribbon, the spin and valley are found to be locked to each other due to inversion symmetry breaking, resulting in spin-valley polarized edge states. Band structure and probability density of wave function show that the spin-up/-down edge states locate at the K/K′ valley, with opposite propagation direction at the upper and lower boundaries. Spin-resolved real-space local current confirms the spin-valley polarized helical edge state in the asymmetric nanoribbon. The device application of the asymmetric kagome-lattice nanoribbon is worth further investigation.
Estimation of Genetic Parameters of Pinus wallichiana Seedlings in the Nursery

The present study was carried out at the Department of Silviculture and Agroforestry forest nursery, Dr. Y.S. Parmar UHF, Nauni, Solan, HP, India to estimate genetic parameters on seed germination and growth characters of Pinus wallichiana seedlings. Seeds were collected from different altitudinal ranges [1800–2100 (A1), 2100–2400 (A2), 2400–2700 (A3), >2700 (A4) m asl) of Himachal Pradesh in the year 2019–20. The seeds were sown under nursery using randomized block design with three replications. Data recorded for germination and growth character from 10 randomly selected seedlings of each replication and mean data were used for analysis. Analysis of variance revealed that the mean sum of squares were highly significant difference for most of the germination and growth traits. Irrespective of altitudes, the maximum environmental variance was reported in survival percentage (19.2%). The genotypic and phenotypic variance was recorded higher in germination capacity (76.3) and survival percentage (84.9), respectively. Along different altitudinal zones, the genotypic and phenotypic variance was higher at A2 altitude in germination percentage (77.3, 81.3), respectively. Heritability in a broad sense along elevation was more in most of the germination parameters at A2 and growth traits at A1, representing characters are least influenced by environment and selection of character’s is useful. Whereas, the genetic advance was more in germination capacity at A2 altitude indicating the best selection of population from this altitude. So, it would be concluded that seedlings collected from lower (1800–2100m asl)and mid altitudes (2100–2400m asl) were found suitable for large scale plantations in this area.
EFFECTIVENESS OF SMART PHONE APPLICATION IN REDUCING ANXIETY DURING PEDIATRIC DENTAL PROCEDURES: A RANDOMIZED CONTROLLED TRIAL

INTRODUCTION: Numerous dental health programs are directed at reducing the anxiety of children. Smartphone applications may be beneficial in behavior management problems when undergoing dental procedure. OBJECTIVES: The aim of this research was to determine the effectiveness of smartphone applications (Tell-Play-Do) (TPD) in reduction of preoperative anxiety in children who are undergoing restorative treatment in comparison with the Tell-Show-Do (TSD) technique. MATERIALS AND METHODS: This research was a randomized controlled clinical trial. A sample of 38 healthy children patients per group (number of groups=2) with age ranging from 6-8 years were assigned from the outpatient clinic of the Department of Pediatric Dentistry and Dental Public Health. All participants were randomly distributed to one of two groups: TPD or TSD. They All required restorative treatment with carious maxillary primary molars (class I only) without-pulpal involvement and infiltration of local anesthesia (LA). Dental anxiety was assessed by using Venham's picture test (VPT) and heart rate (HR) in three steps (baseline, after intervention TPD/TSD and after treatment). RESULTS: The reduction in dental anxiety scores(VPT) after applying the TPD in comparison with the base line scores for the test group exhibited statistical significance ( P 1 <0.0001), while it was statistically non-significant in the control group (TSD technique). Both groups showed reduction in HR pre-operative and post-operative, however, the reduction was almost doubled in TPD group using dental application. CONCLUSIONS: In pediatric patients, the Tell-Play-Do technique by using smartphone application is an effective instrument for reducing dental anxiety.
Reproductive performance and lamb’s birth weight in Ossimi ewes treated with organic selenium and nano-selenium under Upper Egyptian condition

The goal of this study was to assess reproductive performance, estrus signs, and lamb’s birth weight in Ossimi ewes treated with organic selenium and Nano-selenium under Upper Egyptian conditions. In this experiment, a total of 30 ewes were divided into three equal groups (10 ewes /each). All of the animals were given intra-vaginal sponges (IVS) impregnated with medroxy-progesterone-acetate (MAP, 40 mg) for 14 days. Then, in the G1: (CG) control group, and the ewes in G2 (SeG) were given organic selenium 3 mg/ewe orally for 14 days from insert IVS, whereas the ewes in G3: (N-SeG) were given Nano-selenium 0.2 mg/animal orally for 14 days from insert IVS. Also, after 50±5 days of parturition (post-partum), the ewes divided randomly into 3 equal groups (10 ewes/each), and managed with the same previous treatments. The results showed that ewes given organic selenium and Nano-selenium had longer (P<0.01) in estrus duration and took a shorter (P<0.01) period to show estrus than control group in both the first service and post-partum. In addition, during the first service and post-partum, the estrus response in SeG and N-SeG were significantly higher (P<0.05) than CG. However, the intensities of estrus signs as swollen vulvar lips and redness of the vaginal membranes were clearly apparent on the ewes in SeG and N-SeG compared to the CG. Also, the body weight of lambs born from ewes treated with organic selenium and Nano-selenium increased significantly (P<0.01) compared to the control group. The body weight of the lambs in N-SeG was higher (P<0.01) after 15 days of parturition than in CG. In conclusion, treatment with organic selenium and Nano-selenium could improve the reproductive performance, estrus signs, and lamb birth weight in ewes under Upper Egyptian climatic conditions.
Forecasting and Whitening Filter Estimation.

Abstract : An approach to empirical time series analysis is described in which the identification stage is not accomplished chiefly by graphical inspection of the time series and of computed auxiliary sample functions such as the autocorrelation function, partial autocorrelation function, and spectrum. Rather the transfer function g sub(infinity) of the whitening filter is directly estimated and parsimoniously parametrized. A criterion for choosing a regression model for forecasting is described. A model identification procedure for a stationary time series is described. Model identification for a non-stationary time series is discussed. Our approach is illustrated by an example.
The Japanese translation of the Gold-MSI: Adaptation and validation of the self-report questionnaire of musical sophistication

This study presents a Japanese translation of the Goldsmiths Musical Sophistication Index (Gold-MSI). The index consists of 38 self-report questions and provides a general sophistication score as well as subscale scores for Active Engagement, Perceptual Abilities, Musical Training, Singing Abilities, and Emotions. The validation of the translation with 689 native Japanese speakers indicated excellent internal consistency and test–retest reliability. Confirmatory factor analysis revealed that the bifactor model structure formulated by the original study of Gold-MSI is maintained reasonably in our data. The strengths of the Gold-MSI self-report inventory are (1) it offers a multifaceted view of musical sophistication, (2) a subset of five subscales can be used to measure different aspects of musical sophistication independently, and (3) the ease of administration as it is a self-report questionnaire. In view of the fact that this inventory and its translations increasingly contribute to research on musical expertise, skills, and abilities, having a Japanese translation may enhance future research in these areas even further.
Criterion Setting is Implemented through Flexible Adjustment of Neural Excitability in Human Visual Cortex

1 Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany 2 Department of Psychology, University of Amsterdam, The Netherlands; 3 Center for Brain and Cognition, Institute for Interdisciplinary Studies, University of Amsterdam, The Netherlands; 4 Department of Neurophysiology and Pathophysiology, University Medical Center HamburgEppendorf, Germany; 5 Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany 6 Department of Experimental and Applied Psychology, Vrije Universiteit, van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands Shared senior author *Correspondence: kloosterman@mpib-berlin.mpg. de Lead Contact Information
A THEMIS multicase study of dipolarization fronts in the magnetotail plasma sheet

[1] We discuss results of a superposed epoch analysis of dipolarization fronts, rapid (δt 10 nT) increases in the northward magnetic field component, observed during six Time History of Events and Macroscale Interactions during Substorms (THEMIS) conjunction events. All six fronts propagated earthward; time delays at multiple probes were used to determine their propagation velocity. We define typical magnetic and electric field and plasma parameter variations during dipolarization front crossings and estimate their characteristic gradient scales. The study reveals (1) a rapid 50% decrease in plasma density and ion pressure, (2) a factor of 2–3 increase in high-energy (30–200 keV) electron flux and electron temperature, and (3) transient enhancements of ∼5 mV/m in duskward and earthward electric field components. Gradient scales of magnetic field, plasma density, and particle flux were found to be comparable to the ion thermal gyroradius. Current densities associated with the Bz increase are, on average, 20 nA/m2, 5–7 times larger than the current density in the cross-tail current sheet. Because j · E > 0, the dipolarization fronts are kinetic-scale dissipative regions with Joule heating rates of 10% of the total bursty bulk flow energy.
SRG/eROSITA micrometeoroid hits and effects

Micrometeoroids are micron-sized dust particles orbiting at hypervelocities of a few tens of kilometers per second. Impacts on sensitive x-ray astronomical devices in space can degrade their performance and even lead to fatal loss of at least parts of their functionality, like in the case of two CCDs of the EPIC MOS1 camera aboard XMM-Newton. We summarize here the main parameters and effects of such micrometeoroid impacts on x-ray astronomical instrumentation in space, to serve as quick reference on this subject, e.g. for subsequent comparative studies. In particular, we list all related SRG/eROSITA events registered during the first two years of operations at the sun-Earth L2 point. None of these seven events has lead to any failure or significant reduction of instrument performance. Only bright pixels and column segments developed. They were either set to bad onboard or could be cured by computation of new offset maps or commanding of higher thresholds for individual pixels. Only one case was clearly associated with an intense optical light flash. Finally, we compare the number of registered events to predictions from interplanetary dust models of sporadic meteoroids from the interplanetary dust cloud and cometary meteoroid streams. The modelled dust fluxes for approximately 1 µm sized sporadic particles are in rough agreement with the number of events registered by eROSITA, while cometary meteoroid streams can most likely be excluded as origin of eROSITA hits.