Miracle-dz/UniFAR-FTUs huggingface dataset:
The Strength of the Causal Relationship between Living Conditions and Satisfaction

This article attempts to explicate the subjective variable satisfaction with life in general by means of the objective variable income. The reason for this study is that, so far, the objective living conditions have been found to have little effect on the subjective feelings of people. Several different approaches have been used to estimate the strength of this relationship. First, correction for measurement errors was tried, then an alternative formulation of the relationship was tested using difference scores instead of the original variables. Next, nonlinear relationships between these variables were introduced. None of these methods led to any substantial strengthening of the relationship. Finally, a model was tested controlling for lagged variables and correcting for measurement errors in a panel design. The combination of these changes led to a considerable effect of the objective variable on satisfaction. This article shows how biased estimates of relationships can be. A specific combination of approaches led to a fundamentally different result.
Effect of inter-pulse delay time on production and size properties of colloidal nanoparticles prepared by collinear double-pulse laser ablation in liquid

The influence of inter-pulse delay times (0–20 ns) between two collinear sequential nanosecond pulses on the production and size properties (mean size and size distribution) of colloidal nanoparticles prepared by pulsed laser ablation of a silver target in a distilled water medium has been studied. Various laser fluences at different inter-pulse delay times between two collinear pulses were used. Furthermore, for a better understanding of the effect of the double-pulse and single-pulse mode, experiments were performed. The characterization of the synthesized colloidal nanoparticles was investigated using scanning electron microscopy (SEM) and UV–vis absorption spectroscopy. Our results showed that 5 ns time-delayed double-pulse laser ablation results in the production of nanoparticles with the highest concentration among the other time-delayed ablation experiments and even more than single-pulse-mode experiments. It also found that using a double-pulse approach with inter-pulse delay times in the range of 0–20 ns leads to the production of nanoparticles with smaller mean sizes and narrower size distributions in comparison to single-pulse-mode laser ablation. The effect of time overlapping between two pulses in the case of double-pulse ablation was analyzed.
Strong call to safeguard traditional agriculture as habitat for threatened crane species

Research Area Land-use and Governance, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany Thaer-Institute of Agricultural and Horticultural Sciences, Faculty of Life Sciences, Humboldt Universität zu Berlin, Berlin, Germany Department of Societal Transition and Agriculture, University of Hohenheim, Stuttgart, Germany International Crane Foundation, Baraboo, Wisconsin, USA Waterbird Network Korea, Seoul, Republic of Korea DMZ Ecology School, Cheorwon, Republic of Korea
Effects of bedtime on college students’ executive function in the digital age based on SPSS 26 software and PROCESS 3.3 software

This study aimed to identify the impact of bedtime in the digital age on executive function among college students. A total of 575 college students took part in the study, which used a series of self-reported questionnaires to assess sleep habits, sleep quality, executive function, and emotional state. SPSS 26 was used to perform the reliability analysis, correlation analysis, and stepwise multiple regression analysis. PROCESS 3.3 was used to examine the mediation model and moderation model between bedtime and executive function. The results revealed that bedtime had a significant positive association with executive function. The effect of bedtime on executive function was mediated by sleep quality and physical activity and was moderated by negative emotion. Taken together, this study establishes that reduced sleep quality and physical activity explain the influence of late bedtime on executive function. And with lower-level negative emotion, the executive function would be less affected by late bedtime.
Fulbright Foreign Language Teaching Assistant (Filipino) Scholars’ Journey in the United States of America

Scholars under the Fulbright Foreign Language Teaching Assistant (FLTA) Program have three important roles: teach the Filipino language and culture, study two courses per semester, and serve as cultural ambassadors of the Philippines in the United States. Exploring the scholars’ journey is important in providing future scholars ideas on rewarding and challenging experiences. This qualitative-biographical study focuses on five scholars’ (2022-2023 cohort) personal embodied experiences and encounters of learning processes. Using reflective writing, introspection, and journal entries as data collection techniques, the researchers accounted for the journey of every scholar. Results show that scholars’ personal embodied experiences include a sense of fulfillment, challenges, and personal and professional growth while their encounters of learning processes are comprised of students’ challenges in learning the language, the presence of negative learning behavior, and appreciation of the language and culture taught. Scholars also see Fulbright as platform for global and cultural involvement and self-growth.
Evidence of non-selective lexical access to second and third language in unbalanced multilinguals: an N400 study on the processing of interlingual homographs

Bilinguals and multilinguals commonly encounter words in their multiple languages which share some linguistic aspects. Among those are interlingual homographs, or words that have the exact same orthography in two different languages. The current study examined, through a semantic judgment task in English with ERP recording, how multilinguals (speakers of Brazilian Portuguese, English and German) accessed the meanings of interlingual homographs that belonged to their dominant and non-dominant foreign languages compared to a control group of Brazilian Portuguese-English bilinguals. The findings demonstrated that multilinguals were slower to respond to the English-German interlingual homographs as compared to control stimuli (no homographs). The results also demonstrated that, when the interlingual homographs were semantically related to their targets in the non-target language, there were significantly more errors and a higher RT than in unrelated conditions. Additionally, only the bilinguals presented the typical N400 effect for unrelated conditions, suggesting that the co-activation of the non-target language due to interlingual homographs modulated this ERP in the multilingual group. Our results provide support for the Bilingual Interactive Activation plus model and suggest that literature findings on interference between first and second languages also hold for second and third languages.
ICEP: An Instrumented Cycling Ergometer Platform for the Assessment of Advanced FES Strategies

Background: Functional electrical stimulation (FES) cycling has seen an upsurge in interest over the last decade. The present study describes the novel instrumented cycling ergometer platform designed to assess the efficiency of electrical stimulation strategies. The capabilities of the platform are showcased in an example determining the adequate stimulation patterns for reproducing a cycling movement of the paralyzed legs of a spinal cord injury (SCI) subject. Methods: Two procedures have been followed to determine the stimulation patterns: (1) using the EMG recordings of the able-bodied subject; (2) using the recordings of the forces produced by the SCI subject’s stimulated muscles. Results: the stimulation pattern derived from the SCI subject’s force output was found to produce 14% more power than the EMG-derived stimulation pattern. Conclusions: the cycling platform proved useful for determining and assessing stimulation patterns, and it can be used to further investigate advanced stimulation strategies.
A Case Report on Serotonin Syndrome in a Patient With Parkinson’s Disease: Diagnostic and Management Challenges

Patients with Parkinson's disease are often at risk of polypharmacy, which can lead to serious medication side effects and interactions. Serotonin syndrome (SS) can develop in this patient population due to a possible drug-drug interaction between antidepressants and antiparkinson drugs with serotoninergic activity. On the other hand, these patients are also at risk of malignant syndrome (MS) secondary to dopaminergic medication withdrawal. In this case report, we present a 71-year-old female with Parkinson's disease who developed symptoms suggestive of SS. The patient was admitted to the medical intensive care unit at the Institute for Pulmonary Diseases of Vojvodina in the Republic of Serbia due to impaired consciousness and a previously witnessed cardiorespiratory arrest. Her chronic antiparkinson medication regimen consisted of levodopa, benserazide, entacapone, ropinirole, and rasagiline. Furthermore, she had been prescribed duloxetine for a remote history of depression, which she had only been taking intermittently. Several days before admission, however, the patient started taking duloxetine again due to low mood. Upon admission, laboratory tests revealed leukocytosis with neutrophilia, elevated C-reactive protein, procalcitonin, lactate, urea, and creatinine. Serum creatine kinase (CK) levels were also elevated at 1250 U/L. Six hours after admission to the ICU, the patient developed hyperthermia, hyperreflexia, spontaneous myoclonus, and tremors. Her CK levels continued to rise, reaching 6900 U/L, and her renal function worsened. Due to the possibility of either SS or MS, external cooling measures with frozen gel packs were administered, resulting in the patient's stabilization over a few hours. Further, serotoninergic medication (rasagiline and duloxetine) was discontinued. On the fifth day of hospitalization, a head CT showed signs of cytotoxic edema. On the 11th day, the patient became hemodynamically unstable and passed away despite all adequate resuscitative measures. The purpose of this case report is to raise awareness of possible SS in patients taking monoamine oxidase-B (MAO-B) inhibitors such as rasagiline. Clinicians should have a high index of suspicion for this complication, especially in patients who are treated for comorbid depression with serotoninergic drugs. Furthermore, we emphasize the importance of correctly differentiating SS from MS, which are both risks for patients with Parkinson's disease. A correct approach to these patients is of utmost importance for adequate management and optimal outcomes.
Magnetic Bead Manipulation in Microfluidic Chips for Biological Application

Magnetic beads manipulation in microfluidic chips is a promising research field for biological application, especially in the detection of biological targets. In this review, we intend to present a thorough and in-depth overview of recent magnetic beads manipulation in microfluidic chips and its biological application. First, we introduce the mechanism of magnetic manipulation in microfluidic chip, including force analysis, particle properties, and surface modification. Then, we compare some existing methods of magnetic manipulation in microfluidic chip and list their biological application. Besides, the suggestions and outlook for future developments in the magnetic manipulation system are also discussed and summarized.
Exploration of haematite-loaded rice husk biochar as a low-cost nanosorbent to remove Cr (III) from the aqueous media

ABSTRACT In this study, the biochar of rice husk was modified to a nanosorbent upon loading with haematite for Cr (III) removal from aqueous solutions. Three adsorbents, rice husk, rice husk biochar and haematite-loaded rice husk biochar, were used for equilibrium adsorption studies. SEM and FTIR analysis revealed the presence of pores and various surface active sites on a nanomaterial, which were responsible for the adsorption of Cr (III). C–H, –O–H, C=O stretching vibrations were observed in characterised FTIR peaks. Modelling of adsorption isotherms indicated best fit for Freundlich isotherm with maximum Kf value of 12,218 and 39.5 for linear and non-linear nanomaterial experimental calculations, and positive n value in range of 1–10 for all forms of adsorbents, Dubinin–Radushkevich adsorption saturation capacity qs showed high readings of 9417 and 76.8 for haematite nanomaterial, Elovich isotherm favoured non-linear results in case of nanomaterial with increased Qm values 43.4–112.3 from raw form to nanosorbents and Temkin isotherm with. Kinetic and Thermodynamic results were also summarised. Constants k and h and Qe capacity were tabulated for Pseudo second order model with highest Qe in the range of 20.36–22.52 for haematite loaded biochar nanomaterial. Hence, haematite based rice husk biochar nanostructure was employed as an efficient adsorbent for uptake of chromium.
Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map

Cervical spine (CS) fractures or dislocations are medical emergencies that may lead to more serious consequences, such as significant functional disability, permanent paralysis, or even death. Therefore, diagnosing CS injuries should be conducted urgently without any delay. This paper proposes an accurate computer-aided-diagnosis system based on deep learning (AlexNet and GoogleNet) for classifying CS injuries as fractures or dislocations. The proposed system aims to support physicians in diagnosing CS injuries, especially in emergency services. We trained the model on a dataset containing 2009 X-ray images (530 CS dislocation, 772 CS fractures, and 707 normal images). The results show 99.56%, 99.33%, 99.67%, and 99.33% for accuracy, sensitivity, specificity, and precision, respectively. Finally, the saliency map has been used to measure the spatial support of a specific class inside an image. This work targets both research and clinical purposes. The designed software could be installed on the imaging devices where the CS images are captured. Then, the captured CS image is used as an input image where the designed code makes a clinical decision in emergencies.
How to Motivate Users to Continuously Participate in Virtual CSR Co-creation

: Previous studies have paid little attention to Corporate Social Responsibility (CSR) co-creation. In the era of digital economy, gamification mechanisms such as feedback can promote the co-creation of virtual CSR. In order to explore how enterprises can stimulate users to participate in virtual CSR co-creation, based on SOR theory, this paper collects data by questionnaire, checks data consistency by big data technology-data cleaning, and processes invalid and missing values, and makes empirical analysis on the processed data by SPSS and AMOS. The research shows that the emotional feedback and information feedback provided by the virtual CSR co-creation platform can promote the continuous participation of users; Green self-efficacy plays an intermediary role in it; Identity plays a negative regulatory role in the influencing mechanism. These conclusions not only deepen and expand the research of value co-creation and its applicable boundary, but also have certain significance for enterprise marketing practice.
A molecular model for positron complexes: long-range effects on 2γ pair-annihilation rates

A molecular model for positron complexes is developed and used to study the effects of the nucleus–positron distance long-range regime on the 2γ annihilation rates (Γ) of atomic complexes. The available data for Γ of some systems are then rationalized on its basis and some predictions are made. The model is shown to be capable of generating information on positron positioning and of making predictions of values of Γ in molecular complexes as well.
Light enhancement by the formation of an Al oxide honeycomb nanostructure on the n-GaN surface of thin-GaN light-emitting diodes

By using a micron polystyrene ball array as a template, an Al oxide honeycomb structure was produced on the n-GaN surface of a thin-GaN light-emitting diode (LED). The Al oxide honeycomb structure consists of the networking hexagonal Al oxide nanowall. With the Al oxide honeycomb nanostructure, the total lighting output of thin-GaN LED was enhanced by 35%. The authors believe that the networking nanowall of the Al oxide honeycomb structure acted as a waveguide to extract the light emitted to the outer medium effectively.
A test for second order stochastic dominance

In this paper we propose a test for second order stochastic dominance (SSD), for the case where both distribution functions are unknown. This is a generalization of a test proposed by Deshpande and Singh (1985), who compare a new random prospect with a known distribution function. We then show that our test is based on comparing the mean minus one half of Gini's mean difference of the distributions, which is known to be a necessary condition for SSD, as developed in the economics literature (Yitzhaki, 1982).
Understanding Mutations in Human SARS-CoV-2 Spike Glycoprotein: A Systematic Review & Meta-Analysis

Genetic variant(s) of concern (VoC) of SARS-CoV-2 have been emerging worldwide due to mutations in the gene encoding spike glycoprotein. We performed comprehensive analyses of spike protein mutations in the significant variant clade of SARS-CoV-2, using the data available on the Nextstrain server. We selected various mutations, namely, A222V, N439K, N501Y, L452R, Y453F, E484K, K417N, T478K, L981F, L212I, N856K, T547K, G496S, and Y369C for this study. These mutations were chosen based on their global entropic score, emergence, spread, transmission, and their location in the spike receptor binding domain (RBD). The relative abundance of these mutations was mapped with global mutation D614G as a reference. Our analyses suggest the rapid emergence of newer global mutations alongside D614G, as reported during the recent waves of COVID-19 in various parts of the world. These mutations could be instrumentally imperative for the transmission, infectivity, virulence, and host immune system’s evasion of SARS-CoV-2. The probable impact of these mutations on vaccine effectiveness, antigenic diversity, antibody interactions, protein stability, RBD flexibility, and accessibility to human cell receptor ACE2 was studied in silico. Overall, the present study can help researchers to design the next generation of vaccines and biotherapeutics to combat COVID-19 infection.
A Review of the Hyperspectral Unmixing Methods that Based on Constrained NMF and Constrained Sparse Regression

Hyperspectral unmixing (HSU) plays an important role in hyperspectral image analysis, and most of the current HSU algorithms are base on linear mixing model (LMM). This paper gives a review of two linear HSU methods that have been drawn great attention recently: one is constrained nonnegative matrix factorization (CNMF) based method, the other is constrained sparse regression (CSR) based method. We carried on the systematic summary to these two types of methods, based on which, we point out some potential research topics.
Real and complex variable positive definite functions

In this paper we present an overview of the implications of our previously derived results for positive definite kernels on the general theory of positive definite functions. We begin by exploring the consequences of a set of differential inequalities on the global behaviour of a smooth positive definite function of one real variable. Then we propose a natural extension of this study to the complex variable case and derive consequences of positive definiteness for meromorphic functions.
QSPR study of the water solubility of a diverse set of agrochemicals: hybrid (GA/ MLR) approach

A quantitative structure- property relationship (QSPR) was performed for the prediction of the aqueous solubility of pesticides belonging to four chemical classes: acid, urea, triazine, and carbamate. The entire set of 77 pesticides was divided into a training set of 58 pesticides and a test set of 19 pesticides according to the Snee technique. A six descriptor model, with squared correlation coefficient (R2) of 0.8895 and standard error of estimation (s) of 0.52 log unit, was developed by applying multiple linear regression analysis using the ordinary least square regression method and genetic algorithm- variable subset selection. The reliability of the proposed model was further illustrated using various evaluation techniques: leave- one- out cross- validation, bootstrap, randomization tests, and validation through the test set. Key Words : pesticides- aqueous solubility- QSPR- molecular descriptors- multiple linear regression. Etude QSPR de la solubilite aqueuse d'un ensemble de divers produits agrochimiques: approche hybride (AG/RLM) Une relation quantitative structure-propriete (QSPR) a ete realisee pour la prediction de la solubilite aqueuse des pesticides appartenant aux quatre classes chimiques: acide, uree, triazine, et carbamate. L'ensemble des 77 pesticides a ete divise en un ensemble de calibrage de 58 pesticides et un ensemble de test de 19 pesticides selon la technique de Snee. Un modele de six descripteurs, avec un coefficient de correlation (R2) de 0,8895 et une erreur standard d'estimation (s) de 0,52, a ete developpe en appliquant une analyse de regression lineaire multiple en utilisant la methode de regression des moindres carres ordinaires et les algorithme-genetiques pour la selection des sous-ensembles de variables. La fiabilite du modele propose a ete en outre illustree en utilisant diverses techniques d'evaluation: validation croisee par leave- one- out, bootstrap, tests de randomisation, et la validation par l'ensemble de test. Mots cles : pesticides- solubilite aqueuse- QSPR- descripteurs moleculaires- regression lineaire multiple.
A fast solution of the time-domain integral equation using fast Fourier transformation

In this paper, a fast algorithm that can be used to solve the time-domain integral equation of transient wave fields is presented. The technique discretizes the time-domain electric-field integral equation (TDEFIE) by means of the marching-on-in-time (MOT) method. The fast Fourier transformation (FFT) is efficiently employed to accelerate the recursive computation of the unknown current coefficients, and to reduce the memory storage requirement in the MOT method. Several results are presented to demonstrate the efficiency, capability, and accuracy of this technique. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 25: 172–175, 2000.
Multi‐way analysis of flux distributions across multiple conditions

With the availability of genome sequences of many organisms and information about gene‐protein‐reaction (GPR) associations with respect to these organisms genome‐scale metabolic networks can be reconstructed. In cellular systems biology these networks are used to model the behavior of metabolism in context of cell growth in terms of fluxes (reaction rates) through reactions in the network. Because the flux through each reaction can generally vary within a range, many flux distributions of the entire network are possible. However, since reactions are connected by common metabolites, reactions that are functionally coherent, are expected to highly correlate in terms of their flux value over different flux distributions.