Miracle-dz/UniFAR-FTUs huggingface dataset:
School adjustment of ethnic minority youth: a qualitative and quantitative research synthesis of family-related risk and resource factors

ABSTRACT In today’s multicultural societies, the question of how school adjustment (adapting to the role of being a student) can be promoted for students from ethnic minority backgrounds is of high importance. The ecological approach to acculturation research proposes minority students’ school adjustment is shaped by the surrounding context, and it suggests that the microsystem family plays an important role. Specifically, parents’ acculturation, practices, attitudes, and background have been identified as key factors. While there exist systematic reviews of the impact of parental factors more broadly, some of which researched ethnic minorities, a comprehensive literature review of family-related factors that affect ethnic minority youth’s school adjustment is missing. The present study provides a synthesis of qualitative and quantitative empirical research of interest, including 60 qualitative and 46 quantitative studies. Its content analysis portrays in what ways parental acculturation, practices, attitudes and background can support or hamper school adjustment among ethnic minority youth. A subsequent meta-analysis quantifies the strength of the impact of these parental variables on the school adjustment of their children. Our findings show that parental practices have the most crucial impact on the psychological well-being, academic self-esteem and aspirations, behaviour and achievement outcomes of minority youth.
Multiplex-Heterogeneous Network Embedding for Drug Repositioning

Drug repositioning (also called drug repurposing) is a strategy for identifying new therapeutic targets for existing drugs. This approach is of great importance in pharmacology as it is a faster and cheaper way to develop new medical treatments. In this paper, we present, to our knowledge, the first application of multiplex-heterogeneous network embedding to drug repositioning. Network embedding learns the vector representations of nodes, opening the whole machine learning toolbox for a wide variety of applications including link prediction, node labelling or clustering. So far, the application of network embedding for drug repositioning focused on heterogeneous networks. Our approach for drug repositioning is based on multiplex-heterogeneous network embedding. Such method allows the richness and complexity of multiplex and heterogeneous networks to be projected in the same vector space. In other words, multiplex-heterogeneous networks aggregate different multi-omics data in the same network representation. We validate the approach on a task of link prediction and on a case study for SARS-CoV2 drug repositioning. Experimental results show that our approach is highly robust and effective for finding new drug-target associations.
Endogenous phytonutrient, phytochemical, and phytohormone levels modulate in-vitro callus induction and plant regeneration in finger millet (Eleusine coracana) genotypes

Abstract Finger millet (Eleusine coracana) is an orphan crop that has prominent nutritional traits such as high calcium. Biotechnological interventions in this crop suffer from constraints like genotypic dependency leading to inefficient regeneration and transformation systems. Biofortification requires improvements in the available plant tissue culture methods with major emphasis on underutilized crops like finger millet. Keeping this in view, the impact of inherent composition of phytonutrients (calcium, carbohydrates, proteins), phytochemicals (phenolics and flavonoids), and phytohormones (Abscisic Acid, ABA and Gibberellic Acid, GA3) on tissue culture responsiveness of four finger millet genotypes was studied. The study elucidated that the nutritional and phytochemical/hormone composition of seed/mature embryos as explants influence callus induction and regeneration on use of different phytohormones. There was significant (p < 0.05) callus induction at 1.5 mg/L 2, 4-D (2,4-Dichlorophenoxyacetic Acid) and 0.5 mg/L BAP (6-Benzylaminopurine) in all four genotypes. The high calcium variety GP-45 showed enhanced callusing and regeneration in comparison to other genotypes. Callus Induction Frequency and Shoot Regeneration Frequency exhibited significant positive correlation with calcium content and significant negative correlation with protein and flavonoid content for all the genotypes. The results demonstrate the importance of genotype selection based on inherent phytonutrient and phytohormone composition on tissue culture for crop improvement.
Delayed Discharge Bridging Two Sputtering Modes from Modulated Pulsed Power Magnetron Sputtering (MPPMS) to Deep Oscillation Magnetron Sputtering (DOMS)

Delayed discharges due to electrical breakdown are observed in modulated pulsed pow er magnetron sputtering (MPPMS) plasma of titanium. The delayed discharge, which is remarkable with decreasing argon gas pressure, transforms the discharge current waveform from a standard modulated pulsed discharge current waveform to a comb-like discharge current waveform consisting of several pulses with high power. In addition, the delay times, consisting of statistical times and formative times in the delayed MPPMS discharges, are experimentally measured with the help of Laue plot analysis. The pressure dependence of delay times observed indicates that the delayed discharge behavior matches the breakdown characteristics well. In the present study, the delayed discharge dynamics of the comb-like discharge current waveform, which can be the origin of deep oscillation magnetron sputtering, are investigated based on measurement of the delay times and the characteristics of discharge current waveforms.
Feasibility evaluation of amide proton transfer-weighted imaging in the parotid glands: a strategy to recognize artifacts and measure APT value.

Background The feasibility and image quality of three-dimensional (3D) amide proton transfer (APT)-weighted (APTw) in parotid tumor lesions have not been well established in previous studies. This study aimed to evaluate the utility of APT imaging in parotid lesions and glands. Methods Patients with parotid lesions received 3D turbo spin echo (TSE) APTw on a 3.0T scanner. Two radiologists, who were blinded to the clinical data, independently evaluated the APTw image quality using 4-point Likert scales (1= poor, 4= excellent) in terms of integrity and hyperintensity artifacts. An image quality selection protocol was built based on the two scores. Evaluable images (integrity score >1) and trustable images (integrity score >3 and hyperintensity artifacts score >2) were then enrolled for APTw value comparison between parotid lesions and glands. Results Forty consecutive patients were included in this study. Four patients were excluded due to severe motion (n=3) or dental (n=1) artifacts, and 36 patients received the APT sequence. Among these, more parotid tumor lesions (34/36, 94.4%) than normal parotid glands (23/31, 74.2%) revealed excellent integrity scores (score =4) (P=0.034). Most parotid tumor lesions (24/34, 70.6%) and glands (16/28, 57.1%) revealed no or little hyperintensity artifacts for diagnosis (scores 3 and 4). APT values of parotid lesions and glands in the evaluable groups were 2.11%±1.15% and 1.60%±1.56%, respectively, and the difference was not significant (P=0.197). APT values of parotid lesions and glands in the trustable groups were 1.99%±1.18% and 1.03%±1.09%, respectively, and the difference was statistically significant (P=0.018). Conclusions 3D APTw could be used to differentiate parotid tumors and normal parotid glands; however, the technology still needs to be improved to remove artifacts. In our study, most APTw images of tumor lesions in parotid glands had acceptable image quality, and these APTw images are feasible for diagnostic use.
Bridging the Gap: A Qualitative Analysis of What It Takes to Inspire Youth to Engage in Volunteering

This article explores how to inspire youth to volunteer. Drawing on ideas of inspiration and motivational framing, we develop insight into how constructing and cultivating a sense of efficacy and obligation pushes a young individual passively inspired by the good deeds and acts being performed in the third sector into becoming someone who is inspired to take action and volunteer. Getting out into the real world of practice allowed us to explore the situated practices carried out in a youth summer internship program. We find that five program practices—authorizing, creating safe relational spaces, reflecting, revealing privilege, and simplifying—fostered an emergent action-oriented set of beliefs that supplied the impetus youth needed to become inspired to volunteer. This has implications for our understanding of the inspirational process as well as for philanthropic foundations looking to design effective programs. Limitations and directions for future research are also discussed.
The superconvergence gradient recovery method for linear finite element method with polygons

To identify the superconvergent areas of gradient solutions is a worthwhile part of gradient recovery in finite element method. Compared with triangular and quadrilateral elements, the position determination for the superconvergent gradient of polygonal element is much more difficult because of the non‐polynomial form of interpolation functions. In this article, the gradient superconvergence points in C0 polygonal element is discovered, and its existence is proved theoretically. By dividing the canonical polygonal element into sub‐triangles, a set of provisional triangular elements is generated to replace the existing polygon element. The superconvergent results of gradient solutions are obtained at the centroids of sub‐triangles. Based on that, the gradient recovery method using superconvergent patch recovery (SPR) is developed for general polygonal mesh. Numerical examples for the Poisson equation are solved and the simulated results compare with polynomial preserving recovery (PPR) to demonstrate the accuracy and convergence properties of the proposed method. The extend application of the superconvergence recovery method for adaptive analysis is also presented at the end.
Remote Beehive Health Analysis using Embedded System and Relevant Audio Features

Bees are very important pollinating insects contributing to preserve natural ecosystems. However, they are also sensitive to various external factors such as weather, diseases, predators or pollution which can have severe impacts on their health. This explain the recent researches based on IA to develop smart beehive monitoring systems to assist beekeepers [17]. The audio analysis approach for precision beekeeping gained interest due to the capability of audio signal to convey accurate information about the health state of a beehive using a simple microphone (e.g. the number of bees, stress factors, the absence of the queen, etc.). Hence, estimating relevant information from audio signals requires robust acoustic features and the adequate preprocessing (e.g. signal separation and denoising) which could lead to promising result when combined with a deep learning approach. Moreover, the usage of an embedded system introduces constraints about the computational cost and the amount of transmitted data that should be optimized to be as low as possible. The goal of this PhD thesis is to design a complete method based on deep learning allowing to collect data and to efficiently predict the state of a beehive using an embedded measurement system in a real-world field recording scenario.
Nano-Silver Particles Reduce Contaminations in Tissue Culture but Decrease Regeneration Rate and Slows Down Growth and Development of Aldrovanda vesiculosa Explants

Aldrovanda vesiculosa is a carnivorous water plant which is endangered by extinction worldwide. The number of natural stands and populations has decreased; therefore, there is a need for its active protection. The best method would be an in vitro culture. One of the main problems is disinfection of the explants. Therefore, it was decided that we should treat the explants with nano-silver particles. The explants were shoot fragments which were disinfected with sodium hypochlorite and then placed in a liquid 1/5 MS medium, supplemented with silver nanoparticles (AgNPs) at a concentration of 5 mg·dm−3. It was observed that AgNPs reduced the number of contaminations but also led to necrosis of the shoots. The shoots, which undertook regeneration in presence of AgNPs, were smaller and did not form traps; however, after being moved to fresh media twice, they started to develop normal leaves. Taking into consideration both disinfection and regeneration rates, it might be advisable to disinfect aldrovanda shoots in sodium hypochlorite only, without AgNPs. The results of the research might indicate a toxic activity of AgNPs towards water plants, which seems a big problem, as nanoparticles are commonly used in all the fields of life. However, the matter should be studied further.
Possibilities and Advantages of Rational Envelope and Minkowski Pythagorean Hodograph Curves for Circle Skinning

Minkowski Pythagorean hodograph curves are widely studied in computer-aided geometric design, and several methods exist which construct Minkowski Pythagorean hodograph (MPH) curves by interpolating Hermite data in the R2,1 Minkowski space. Extending the class of MPH curves, a new class of Rational Envelope (RE) curve has been introduced. These are special curves in R2,1 that define rational boundaries for the corresponding domain. A method to use RE and MPH curves for skinning purposes, i.e., for circle-based modeling, has been developed recently. In this paper, we continue this study by proposing a new, more flexible way how these curves can be used for skinning a discrete set of circles. We give a thorough overview of our algorithm, and we show a significant advantage of using RE and MPH curves for skinning purposes: as opposed to traditional skinning methods, unintended intersections can be detected and eliminated efficiently.
Metabolism and growth performance of pacu (Piaractus mesopotamicus) juveniles submitted to different feeding frequencies

The aim of this study was to evaluate the effects of different feeding frequencies on productive performance, hepatocytes integrity, frequency of muscle fibers distribution, enzymatic activity, and proximate composition of pacu juveniles (Piaractus mesopotamicus). One hundred and sixty fish were distributed in 20 tanks arranged in a recirculation system. The proposed managements of feed offer were the partition of the daily amounts into one, two, three or four times during 60 days. Feed consumption were higher in fish fed four times a day, whilst the hepatosomatic index was higher in fish fed once, but similar to fish that received food two or four times a day. As for plasmatic glucose levels, fish fed twice a day displayed an increase in this parameter. The livers of fish fed two or four times a day presented larger hepatocytes and cellular nuclei. Regarding the proximate composition of carcasses, fish that received one daily feeding presented higher ether extract. It was concluded that feeding frequency is a factor that promotes changes in P. mesopotamicus nutritional metabolism, thus the offer of feed four times a day could be recommended for this species in this life stage.
Adsorption of CO molecules on doped graphene: A first-principles study

As a typical kinds of toxic gases, CO plays an important role in environmental monitoring, control of chemical processes, space missions, agricultural and medical applications. Graphene is considered a potential candidate of gases sensor, so the adsorption of CO molecules on various graphene, including pristine graphene, Nitrogen-doped graphene (N-doped graphene) and Aluminum-doped graphene (Al-doped graphene), are studied by using first-principles calculations. The optimal configurations, adsorption energies, charge transfer, and electronic properties including band structures, density of states and differential charge density are obtained. The adsorption energies of CO molecules on pristine graphene and N-doped graphene are −0.01 eV, and −0.03 eV, respectively. In comparison, the adsorption energy of CO on Al-doped graphene is much larger, −2.69 eV. Our results also show that there occurs a large amount of charge transfer between CO molecules and graphene sheet after the adsorption, which suggests Al-doped graphene is more sensitive to the adsorption of CO than pristine graphene and N-doped graphene. Therefore, the sensitivity of gases on graphene can be drastically improved by introducing the suitable dopants.
Analysis of Screw Extrusion of Thermoplastics for AM

Yash Gopal Mittal (  ymymittal1@gmail.com ) Indian Institute of Technology Bombay https://orcid.org/0000-0001-7790-2334 Shivam Prajapati National Institute of Technology Agartala Pushkar Kamble Indian Institute of Technology Bombay Dmitriy Trushnikov Perm National Research Polytechnic University: Permskij nacional'nyj issledovatel'skij politehniceskij universitet Alain Bernard EC Nantes: Ecole centrale de Nantes Karunakaran K. P. Indian Institute of Technology Bombay
Attachment style and accuracy of facial expression recognition in depression

Aim. To investigate links between the attachment style and ability to detect facial emotions using a functional magnetic resonance imaging (fMRI) paradigm in depressed patients. Materials and methods. Participants diagnosed with mild to moderate depression or dysthymia (19 patients) and healthy volunteers (20 individuals) were to identify one of eight basic emotions on 48 photos by choosing the appropriate answer from two options. Attachment was measured using the Experience in Close Relationships Scale. In addition, depression, alexithymia, and rumination were estimated as other possible correlates. Results. In the group of patients with depression, anxious attachment score had a negative correlation with the accuracy of angry facial expression detection (ρ = –0.65, p < 0.01) and a positive correlation with the accuracy of sad facial expression recognition (ρ = 0.48, p < 0.05). Patients with high total rumination (ρ = –0.48, p < 0.05) and depressive rumination (ρ = –0.53, p < 0.05) scores also detected angry facial expression less accurately. None of the mentioned relationships were present in healthy people, however, they demonstrated a correlation of the total number of portraits tagged as “sad” with the brooding rumination score (ρ = 0 .53, p < 0.05). Conclusion. Attachment patients be related to aggravation of the deficit in the ability to detect emotions of others.
Hazardous and essential trace elements profile in the different soft tissues of Lithophaga lithophaga (Linnaeus, 1758) from Southern Adriatic Sea (Italy)

ABSTRACT A characterization study of 7 hazardous (Hg, Pb, Cd, As, Cr, U, and Ni) and 11 essential (Co, Mo, Se, Cu, Zn, V, Ca, Al, Sr, Mn, and Fe) trace elements in date mussels (Lithophaga lithophaga,Linnaeus, 1758) was carried out by inductively coupled plasma mass spectrometer. Date mussels (231 individuals), caught in the Gulf of Manfredonia (Southern Italy), were divided into 4 size-related groups. The different tissues (muscle, stomach, hepatopancreas and rest of soft tissues) were separated and analyzed to study the capability of absorption of this species. No particular differences were reported on the basis of the shell size; the soft tissues play an important role on the accumulation levels of hazardous and essential trace elements. These marine animals may be considered a good bioindicator of marine environmental pollution for their longevity and habitat permanence peculiarities.
FAIR data infrastructure and tools for AI-assisted streamflow prediction

Focal Area(s) Areas We discuss how the integration of AI into Earth Science models can impact streamflow predictions at both the science and data levels. Doing so, we address cross-cutting needs related to the goal of making data FAIR (Findable, Accessible, Interoperable, and Re-usable [1]) for seamless use with Artificial Intelligence/Machine Learning (AI/ML) in Earth System Science at DOE. A novel idea is that AI/ML itself can help with the FAIR data goal and address issues in targeted areas e.g. missing data, data quality and reduction. In addition, the interpretability of results obtained with new AI methods is poised to impact broader scientific challenges in hydrology.
Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard

The paper provides an overview of the quantization and entropy coding methods in the Versatile Video Coding (VVC) standard. Special focus is laid on techniques that improve coding efficiency relative to the methods included in the High Efficiency Video Coding (HEVC) standard: The inclusion of trellis-coded quantization, the advanced context modeling for entropy coding of transform coefficient levels, the arithmetic coding engine with multi-hypothesis probability estimation, and the joint coding of chroma residuals. Beside a description of the design concepts, the paper also discusses motivations and implementation aspects. The effectiveness of the quantization and entropy coding methods specified in VVC is validated by experimental results.
Corporate governance, market orientation and performance of Iran’s upscale hotels

Market orientation has been known as an efficient managerial tool to assist in sustaining the performance of organisations. Market orientation has three dimensions, namely customer orientation, competitor orientation and inter-function coordination. This paper evaluates how corporate governance influences the three dimensions of market orientation within Iran's upscale hotels. The impacts of the three dimensions of market orientation on the hotels' social and financial performance are also examined to determine if market orientation mediates the relationships between corporate governance and performance. Partial least squares structural equation modelling (PLS-SEM) is used to analyse the survey data collected from the executives of four- and five-star hotels in Mashhad, Iran. Results show that corporate governance positively influences the three dimensions of market orientation, while overall market orientation influences financial and social performance. Specifically, customer orientation and inter-function coordination significantly reinforce such mediation, whereas the influence of competitor orientation is limited to financial performance.
Design of compact planar power divider with wideband bandpass response and high in‐band isolation

National Natural Science Foundation of China, Grant/Award Number: 61771247; National Natural Science Foundation of China, Grant/Award Number: 61571468; State Key Laboratory of Millimetre Waves, Grant/Award Number: K201921; Universidade deMacau, Grant/Award Number: MYRG2017‐00007‐FST Abstract In this study, a compact planar power divider (PD) with wideband bandpass response is proposed based on a coupled three‐line filtering prototype. With two back‐to‐back microstrip feeding lines and a coplanar waveguide resonator located in the middle ground plane, the filtering structure is constructed. According to the synthesis approach, the proposed filtering structure can achieve an equal in‐band ripple response with three transmission poles and four out‐of‐band transmission zeros. In order to make the proposed PD inherit the designed filtering performance, one of the output lines in the filter network is modified to realize a 50 to 25 Ω impedance transformation in the passband first. Then, for good in‐band isolation and impedance matching at output ports, the modified output line is split into two separated lines by a slot so that a lumped resistor can be loaded at the ends of the two separated output lines. By properly setting the slot width and the resistance with guidance, high isolation level over an ultra‐wide passband is attained. For demonstration, three cases of the PDs with different bandwidths are designed on the basis of the corresponding filter designs. Finally, two bandpass PDs are fabricated and tested to verify the design concept.