Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient TSA-RBFNN Technique for Energy Management in Micro Grid Connected System with Renewable Energy Resources

: In this manuscript, a proficient hybrid approach to the system model and the optimum energy management of the micro-grid with less cost is proposed. The innovative of the proposed method is the consolidation of Tunicate swarm optimization (TSA) and Radial Basis functional Neural Network (RBFNN) known as TSA-RBFNN, which enables the decision making along the multi-objective issues. Furthermore, the most advantages of the TSA-RBFNN technique is the cost-effective power production of the micro-grids (MGs) including effectual use of renewable energy sources (RESs) without lose the obtainable energy. The technique is concerned with more mathematical optimization issues, which involves an objective function that should be optimal concurrently. The TSA algorithm improves the micro-grid structure at minimal fuel cost to carry out the necessary load requirement by utilizing the micro-grids inputs such as wind turbine (WT), photovoltaic (PV) array, micro turbine (MT), energy storage system (ESS) and related cost operation. In TSA-RBFNN technique, RBFNN learning phase is used to forecast the load requirement. In terms of the predicting load requirement, minimal annualized fuel cost properties, cost operation, replacement cost is minimized with every successive point of the TSA-RBFNN technique. The efficiency of the TSA-RBFNN technique is analyzed by likened to the other existing techniques like COA-RNN and BFA-ANN. The comparison outcomes prove the magnificence of the TSA-RBFNN technique; also corroborate its efficient to determine the complex.
A Fully quantum method of determination of penetrability and reflection coefficients in quantum FRW model with radiation

In the paper the closed Friedmann–Robertson–Walker model with quantization in the presence of the positive cosmological constant and radiation is studied. For analysis of tunneling probability for birth of an asymptotically de Sitter, inflationary universe as a function of the radiation energy, a new definition of a "free" wave propagating inside strong fields is proposed. On such a basis, tunneling boundary condition is corrected, penetrability and reflection relative to the barrier are calculated in fully quantum stationary approach. For the first time nonzero interference between the incident and reflected waves has been taken into account which turns out to play important role inside cosmological potentials and could be explained by non-locality of barriers in quantum mechanics. Inside the whole region of radiation energy the tunneling probability for the birth of the inflationary universe is found to be close to its value obtained in the semiclassical approach. The reflection from the barrier is determined for the first time (which differs essentially on 1 at the energy of radiation close to the barrier height). The proposed method could be easily generalized on the cosmological models with barriers of arbitrary shape, as demonstrated for the FRW model with included Chaplygin gas. The result is stable for variations of the studied barriers, accuracy is found to be 11–18 digits for all coefficients and energies below the barrier height.
Unmaking Digital Fabrication using Glitch and Upcycling

As physical objects change over time, they begin to need to be repaired, altered, augmented, re-designed, embellished, or otherwise unmade. However, many current fabrication systems “black-box” their processes and results, and in doing so, undermine a user’s ability to make such changes after initial production. We argue for interaction techniques that support inventive repair around fabrication processes. We introduce two artifacts— Glitch Gloves and IoT Stickers —that illustrate destruction, modification, and reconfiguration in fabrication. We use these artifacts to raise questions for an inventive repair research agenda
S-wave bottom tetraquarks

The relativistic four-quark equations are found in the framework of coupled-channel formalism. The dynamical mixing of the meson–meson states with the four-quark states is considered. The four-quark amplitudes of the tetraquarks, including u, d, s, and bottom quarks, are constructed. The poles of these amplitudes determine the masses and widths of S-wave bottom tetraquarks.
College admission as a screening and sorting device*

How can colleges find successful applicants? Criteria such as GPA, interviews, essays, and tests provide information about candidates, but whichwork andwhy? We shed light on these questions using unique data on the universe of objective and subjective rankings of all college applicants in Denmark, their applications, admissions and college outcomes. We implement a regression discontinuity design across multiple admission quotas to estimate how admission affects program and college completion, and investigate how this depends on the evaluative criteria used. We find that admission based on alternative criteria outperforms standard admission based on GPA. Alternative criteria are more effective in identifying good program matches, which ultimately leads to higher college completion rates because alternative evaluation is more likely to admit students that tend to struggle elsewhere. Most of the impact of alternative evaluation is found to be due to their impact on the applicant pool (sorting). This suggest that application costs play an important role when selecting likely-successful applicants. Our analysis of the evaluation technology shows that the use of individual grades leads to the admission of applicants that are less likely to succeed. The use of tests and CVs does however have robust positive effects which are explained by their impact on sorting and not because they allow programs to select more successful students from a given pool of applicants. Essays is the only criterion that is intrinsically better at screening out applicants that will do well in the program or in college more broadly. The use of tests, interviews and CVs do not outperform GPA in screening once we keep the application pool fixed. There is no evidence that interviews are an effective admission tool.
Environmental and Financial Performance: Review of Selected Studies

The main objective of this paper is to examine selected literature on the relationship between environmental performance and financial performance on firm-level. Specific objectives are defined in accordance with the observed group of environmental performance measures. We decided to investigate environmental performance measured that refer to pollutant emissions, waste, and environmental disclosures. Examined studies cover different periods, regions, and companies. In observed literature, we found mixed results. The results depend on many factors such as the used environmental measures, the financial performance measure, the control variables, the industry type, and the characteristics of companies.
Maternal Labour Force Participation in Cameroon: The Role of Children’s Health

This study applied the probit model controlling for endogeneity, using the 2004/2011 Demographic and Health Survey in Cameroon to investigate the influence of child health on maternal labour force participation (MLFP) and to explore the heterogeneous effects of MLFP by sector of activity and marital status. The summary statistics revealed that participating mothers systematically differ from non-participating mothers on various characteristics. The results showed that overall, child health increases the probability of MLFP for married women and single mothers in both agriculture and non-agriculture sectors. These results mean that poor child health exerts emotional stress and imposes a physical demand for caring on family members. As the primary carer, the mother consequently reduces work commitment or even leaves the labour market to care for the ill child. Thus, investing in child health is very important as it enables the mother to use the extra-time at their disposal to participate additionally in labour market and job training opportunities. tetanus immunization status, sex of household head, father’s age, father’s occupation, child siblings alive in the household, place of residence and mother’s education times father’s education. The result of this study will be computed using Stata software.
Strength training in treatment of chronic neck pain

Background: Chronic non-specific neck pain is common in modern industrialized countries causing suffering, disability and considerable economical losses for individuals and society. Treatment is commonly advice for stretching and strength exercises in primary health care. However, if improvements are not satisfactory, patients may seek specialist care. The purpose of this study was to evaluate the effectiveness of multimodal rehabilitation in treatment of chronic neck pain. Methods: The study group comprised of 56 patients with chronic neck pain, who participated rehabilitation for three weeks and one-week follow-up period after eight months at an inpatient rehabilitation facility. The aim was that patients continued exercising at home up to the follow-up. Neck pain, disability indices and neck muscle strength were evaluated at the baseline, after three weeks and at the 8-month follow-up. Results: Decrease in neck pain and disability amounting 50 % was achieved during three weeks rehabilitation. However, the improvements in these primary outcomes had declined at the follow-up so that the changes were no more clinically significant. Also the results in neck strength tests diminished. Conclusions: Rehabilitation was clinically effective only in the short-term, although some outcome changes were still significant at the long-term follow-up. It was compared to the best evidence practise, which revealed several common shortcomings in the rehabilitation process.
Manifestation of the strong quadrupole light-molecule interaction in the SEHR spectra of phenazine and pyrazine

The paper demonstrates possibility of giant enhancement of Surface Enhanced Hyper Raman Scattering on the base of qualitative consideration of electromagnetic field near some models of rough metal surfaces and of some features of the dipole and quadrupole light-molecule interaction, such as it was made in the dipole-quadrupole SERS theory. Consideration of symmetrical molecules allows to obtain selection rules for their SEHR spectra and establish such regularity as appearance of the lines, caused by totally symmetric vibrations, transforming after the unit irreducible representation in molecules with the groups, where the elements of symmetry change z on -z . These lines are forbidden in usual HRS spectra. Analysis of literature data on phenazine and pyrazine molecules demonstrates that their SEHR spectra can be explained by the SEHRS dipole-quadrupole theory. Analysis of the SEHR spectra of these molecules reveals appearance of strong forbidden bands, caused by vibrations transforming after the unit irreducible representation that strongly confirms this theory which allows to interpret the whole SEHR spectra in detail. The results corroborate this common mechanism of Surface Enhanced optical processes on molecules adsorbed on rough metal surfaces.
RADIOIODINE BY THE FUKUSHIMA DAIICHI NUCLEAR POWER PLANT ACCIDENT

The Great East Japan Earthquake and Tsunami happened on 11 March 2011, which caused the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident. The accident resulted in a substantial release of radio­ nuclides, including 131I, 134Cs, and 137Cs, into the atmosphere, causing significant environmental contamination. This was a particular issue in many parts of eastern Japan, especially in the Fukushima Prefecture (Yoshida and Takahashi 2012). Among the above­mentioned radioactive isotopes, 131I is one of the most critical radionuclides to be monitored after an accidental reactor release due to its tendency to accumulate in the human thyroid gland. Because of the short half­life of 131I (8 days), it is difficult to determine its radioactivity within a few months after such an accident. Estimating the effective dose of released 131I is important, but the lack of data on the deposition of 131I immediately following such accidents makes retrospective dosimetry a challenge (Michel et al. 2005). This article summarizes what is known about the amount of 131I released into the environment due to the Fukushima Daiichi Nuclear Power Plant accident and also introduces the Fukushima Health Management Survey Project for the long­term health care of the resi­ dents of Fukushima Prefecture.
Kalman Filter-Based, Dynamic 3-D Shape Reconstruction for Steerable Needles with Fiber Bragg Gratings in Multi-Core Fibers

—Steerable needles are a promising technology to provide safe deployment of tools through complex anatomy in minimally invasive surgery, including tumor-related diagnoses and therapies. For the 3-D localization of these instruments in soft tissue, ﬁber Bragg gratings (FBGs)-based reconstruction methods have gained in popularity because of the inherent advantages of optical ﬁbers in a clinical setting, such as ﬂexibility, immunity to electromagnetic interference, non-toxicity, the absence of line of sight issues. However, methods proposed thus far focus on shape reconstruction of the steerable needle itself, where accuracy is susceptible to errors in interpolation and curve ﬁtting methods used to estimate the curvature vectors along the needle. In this study, we propose reconstructing the shape of the path created by the steerable needle tip based on the follow-the-leader nature of many of its variants. By assuming that the path made by the tip is equivalent to the shape of the needle, this novel approach paves the way for shape reconstruction through a single set of FBGs at the needle tip, which provides curvature information about every section of the path during navigation. We propose a Kalman Filter-based sensor fusion method to update the curvature information about the sections as they are continually estimated during the insertion process. The proposed method is validated through simulation, in vitro and ex vivo experiments employing a programmable bevel-tip steerable needle (PBN). The results show clinically acceptable accuracy, with 2.87 mm mean PBN tip position error, and a standard deviation of 1.63 mm for a 120 mm 3-D insertion.
Integrating Cerebro with Dask

Cerebro is a distributed model selection system that supports a novel parallel SGD execution strategy called Model Hopper Par-allelism (MOP). Cerebro has been implemented in a modular way combining model and data parallelism such that the support can be extended for different backend execution layers. This project extends the support for Cerebro to Dask users. Dask is a parallel computing framework built in Python that natively supports em-barrassingly task-parallel workloads. Our work manages to support scalable model selection using MOP in Dask without modifying any internal Dask implementations. We use Dask for the initial Extract Transform Load (ETL), data partitioning, and orchestration of the MOP strategy. The system is evaluated by training multiple model configurations on a standard dataset using MOP. We observe that the Dask backend can reproduce the same results as the original implementation in terms of both system performance and accuracy.
A Federated Approach to Predict Emojis in Hindi Tweets

The use of emojis provide for adding a visual 001 modality to textual communication. The task 002 of predicting emojis however provides a chal-003 lenge for computational approaches as emoji 004 use tends to cluster into the frequently used 005 and the rarely used emojis. Much of the re-006 search on emoji use has focused on high re-007 source languages and conceptualised the task 008 of predicting emojis around traditional servers-009 side machine learning approaches, which can 010 introduce privacy concerns, as user data is 011 transmitted to a central storage. In this pa-012 per, we provide a benchmark dataset of 118 k 013 tweets for emoji prediction in Hindi. 1 Specif-014 ically, we show that a privacy preserving ap-015 proach, Federated Learning exhibits compa-016 rable performance to traditional servers-side 017 transformer models. 018
Groundhog: An Automated Accessibility Crawler for Mobile Apps

Accessibility is a critical software quality affecting more than 15% of the world’s population with some form of disabilities. Modern mobile platforms, i.e., iOS and Android, provide guidelines and testing tools for developers to assess the accessibility of their apps. The main focus of the testing tools is on examining a particular screen’s compliance with some predefined rules derived from accessibility guidelines. Unfortunately, these tools cannot detect accessibility issues that manifest themselves in interactions with apps using assistive services, e.g., screen readers. A few recent studies have proposed assistive-service driven testing; however, they require manually constructed inputs from developers to evaluate a specific screen or presume availability of UI test cases. In this work, we propose an automated accessibility crawler for mobile apps, Groundhog, that explores an app with the purpose of finding accessibility issues without any manual effort from developers. Groundhog assesses the functionality of UI elements in an app with and without assistive services and pinpoints accessibility issues with an intuitive video of how to replicate them. Our experiments show Groundhog is highly effective in detecting accessibility barriers that existing techniques cannot discover. Powered by Groundhog, we conducted an empirical study on a large set of real-world apps and found new classes of critical accessibility issues that should be the focus of future work in this area.
DISCUSSION PAPER SERIES Organisational Leadership: How Much Does It Matter?

We study the influence of leadership on organisational performance and worker wellbeing using data from the 2004 and 2011 Workplace Employment Relations Survey (WERS). Our most conservative estimates from fixed effects regressions on a panel of organisations reveal that virtuous leadership is significantly and positively linked to an upbeat assessment of organisational performance, and an increase in worker wellbeing. Specifically, the estimates reveal that an increase in leadership quality by one standard deviation increases organisational performance and worker job satisfaction by 0.27 and 0.73 standard deviations, respectively, while it leads to a fall in worker job anxiety by 0.13 standard deviations. The results support the hypothesis that good leadership is vital for the success of business including worker wellbeing, which organisational policy makers ought to heed. There is a dearth of evidence on organisational leadership as an institution and its influence on organisational outcomes, which this paper aims to address.
Accurate and efficient algorithms for boundary element methods in electromagnetic scattering: A tribute to the work of F. Olyslager

Boundary element methods (BEMs) are an increasingly popular approach to model electromagnetic scattering both by perfect conductors and dielectric objects. Several mathematical, numerical, and computational techniques pullulated from the research into BEMs, enhancing its efficiency and applicability. In designing a viable implementation of the BEM, both theoretical and practical aspects need to be taken into account. Theoretical aspects include the choice of an integral equation for the sought after current densities on the geometry's boundaries and the choice of a discretization strategy (i.e. a finite element space) for this equation. Practical aspects include efficient algorithms to execute the multiplication of the system matrix by a test vector (such as a fast multipole method) and the parallelization of this multiplication algorithm that allows the distribution of the computation and communication requirements between multiple computational nodes. In honor of our former colleague and mentor, F. Olyslager, an overview of the BEMs for large and complex EM problems developed within the Electromagnetics Group at Ghent University is presented. Recent results that ramified from F. Olyslager's scientific endeavors are included in the survey.
The 7th International Platform on Integrating Arab e-Infrastructure in a Global Environment

The paper deals with the presentation of POC (Piattaforma Ontologica della Cybsersecurity) developed by Pragmema, a cybersecurity ontological platform on Liferay technology. POC is the first ‘tool’ capable to represent cybersecurity data and correlations (events, incidents, etc.) as needed for cyberattacks analytics, prevention and resilience. POC is also meant for cybersecurity risk assessment and evaluation as mandatory activities for companies and institutions, according to recent EU legislation. The presentation recalls and comments briefly on general approaches to ontology development and cybersecurity domain ontologies in present literature on the subject; it recalls examples of taxonomies and classifications as developed in the international context, that need further classification and representation in a shared ontological perspective; and, finally, it motivates methodological solutions designed and realized in the POC platform for application purposes. On the grounds of linguistic and cognitive theoretical assumptions in the field of linguistics as applied to AI different levels of ontological representation and logical semantic relations including a pragmatic cybersecurity ontology, are presented as the POC solution.
The Effects and Local Implementation of School Finance Reforms on Teacher Salary (unblinded).docx

Knowing how policy-induced salary schedule changes affect teacher recruitment and retention will significantly advance our understanding of how resources matter for K-12 student learning. This study sheds light on this issue by estimating how legislative funding changes in Washington state in 2018-19—induced by the McCleary court-ordered reform—affected teacher salaries and labor market outcomes. By embedding a simulated instrumental variables approach in a mixed methods design, we observed that local collective bargaining negotiations directed new state-level funding allocations toward certificated base salaries, particularly among more senior teachers. Variability in political power, priorities, and interests of both districts and unions led to greater heterogeneity in teacher salary schedules. Teacher mobility rate was reduced in the first year of the reform, and subsequently new hiring rate was reduced in the second year. Suggestive evidence indicates that a $1,000 salary increase would have larger effects on junior teachers’ hiring and their transfers between districts to a greater extent than late-career teachers. Acknowledgement: This study is supported by grants from William T. Grant No. 190735. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funder.