Miracle-dz/UniFAR-FTUs huggingface dataset:
Engineering ZIF-8 Hybridization by Extracted Lignin with Antibacterial Property for Uptake of Methomyl Residues from Wastewater

ABSTRACT The hybridization between lignin and ZIF-8 and the removal of methomyl insecticides from wastewater was studied. Fourier-Transform Infrared (FTIR), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD) and Brunauer-Emmett-Teller (BET) were used to confirm the compounds. The effect of variables such as adsorbent dosage and contact time on the methomyl removal efficiency was investigated. The optimized condition dosage was 1 g L−1 at speed = 300 rpm, 300 min, and the pesticide concentration was 200 mg L−1 at room temperature (25°C) and pH = 7. The SEM and FTIR were used to thoroughly examine the reaction mechanism. Kinetic and isotherm parameters were precisely matched to the Langmuir and pseudo-second order models. The adsorption capacity in 60% ZIF-8@Lignin approached 324.6 mg g−1 which was significantly higher than that of lignin alone. Compared to other studies, the current study demonstrated superior adsorption capacity and cost-effectiveness. Antimicrobial testing confirmed that adding ZIF-8 to lignin enhanced the microbial activity and the minimum inhibitory concentration (MIC) value. The lowest values against all tested microbial strains were 19 mg mL−1.
Calibration of Coupling Errors for Scale Factor Nonlinearity Improvement in Navigation-Grade Honeycomb Disk Resonator Gyroscope

With the performance of micromechanical gyroscopes approaching navigation grade, the scale factor nonlinearity is gradually becoming the limitation for high-performance applications such as the satellite attitude measurement. Coupling errors caused by parasitic capacitance are the major sources of scale factor nonlinearity but are usually neglected. In this article, the parasitic-capacitance coupling errors are introduced into the traditional gyroscope model and the scale factor nonlinearity induced by the coupling errors has been analyzed theoretically. The analysis indicates that two parasitic-capacitance couples from sense excitation signal to drive or sense detection signal are the dominant causes of scale factor nonlinearity. Two measurements (i.e., the amplitude of driving excitation signal and axis tuning voltage) are used to realize the calibration of coupling errors with the least square method. The experiment is also carried out to verify this novel calibration method on a navigation-grade honeycomb disk resonator gyroscope. The experimental results demonstrate that the coupling errors have decreased by 87.5 and 44.5 times, respectively, after the error compensation and that the scale factor nonlinearity has been improved from 244.8 ppm to 29.00 ppm. Furthermore, this calibration method can be applied to other resonator gyroscopes with the similar structure and control scheme.
Trends in the Selection of Primary Grade (K-3) Reading Programs and Assessments in the United States

ABSTRACT It has been more than twenty years since the National Reading Panel Report (2000) provided recommendations for the teaching of reading based on a meta-analysis of suitable research. The report was commissioned at the end of the 1990s, just as the “whole language” reading movement that advocated for analytic phonics instruction and having students spend much of their time silently reading at their “independent” levels was common. The report recommended the explicit teaching of the “Big Five” components of reading instruction, phonemic awareness, phonics, comprehension, fluency and vocabulary, along with scaffolded reading instruction with challenging text. In the same year, another study concluded that elementary teachers had students reading silently 71% of the time and providing phonics instruction strategies associated with “whole language” such as contextual analysis. In this study, a survey was distributed to school superintendents across the country; 293 completed the survey resulting in a 72% response rate. Respondents indicated a clear and increasing preference for basal programs; a result that we believe reveals the impact of the NRP. Even so, about a quarter of the respondents indicated a preference for programs, and more than half were using assessments, more aligned with “whole language” approaches.
Brane probes and gauge theory/gravity dualities

We examine the use of branes as probes of supergravity geometries which arise in the study of gauge theory/gravity dualities. We investigate the moduh spaces of supersymmetric gauge theories through moduh spaces of brane probes in the dual gravity theories. Preferred coordinate systems emerge in which the supergravity geometries can readily be compared to the gauge theory and various gauge theory quantities such as anomalous scaling dimensions can be read off. We also consider the physics of certain expanded brane configurations, called giant gravitons. We identify supergravity solutions which represent coherent states of these objects. We find a degeneracy between giant graviton probes and massless particles in a broad class of supergravity backgrounds and uncover a close relationship with charged particle states in lower dimensions.
Analysis of demographic characteristics based on data of social network users

The main goal of the state policy in the field of demography is to ensure the growth of population reproduction in accordance with the country’s development strategy by eliminating negative trends in demographic processes. Demographic processes can be assessed by country, region and district. In this regard, demographic surveys can be conducted at the state, regional and individual levels. The implementation of an effective demographic policy in the country is an integral part of the e-government system. The article is devoted to the analysis of demographic characteristics based on the data of social network users. The spread of the Internet and digital technologies has created new opportunities for demographic research. To this end, the article analyzes demography as a field of multidisciplinary research and shows the importance of data collected in social networks for demographic research. This includes the use of data collected in the analytical systems of social networking services as a new source of information for demographic research. The article discusses foreign experience and current scientific and practical studies in the field of electronic demography, identifies current areas of research and analyzes their state-of-the-art. The paper explores the social network analysis systems and their classification by characteristics.
Measuring College Campus Well-Being with Multidimensional Indices: Sustainability of Higher Education in Taiwan

Understanding students’ subjective perceptions of universities is one of the main issues that needs to be addressed in order to improve aspects such as student retention and achieve sustainable development. Considering subjective well-being as an alternative term for happiness and satisfaction in higher education for sustainability, this study is to develop a measure conceptually and operationally for college campus well-being (CWB) with multiple dimensions, including a psychological, physical, financial, and social dimension of well-being. Subjected to factorial validity and composite reliability, the CWB scale validated by 2793 undergraduate students in central Taiwan was administered. The research demonstrates the appropriate construct validity and suitable-fit indices of the CWB multidimensional scale when used for measuring university-oriented happiness and sustainability in this research context. Differential effects were found among the colleges and between genders. The implications and future research lines are discussed.
THE EFFECT OF PERSONAL AND SITUATIONAL FACTORS ON THE INTENTION OF WHISTLEBLOWING WITH MODERATED LEGAL PROTECTION

This research is to determine the effectiveness of legal protection in strengthening the relationship between attitude toward behavior, subjective norm, perceived behavioral control, the seriousness of wrongdoing, status of the wrongdoer, and reward with whistleblowing intentions. The population in this research was civil servants who were Regional Inspectors in all regencies in Madura. The sampling technique in this study was purposive sampling consisting of 104 civil servants who had functional positions as auditors, staffing auditors, or supervisors of regional government (P2UPD). Data was collected by distributing questionnaires directly to the respondents. The data analysis technique used in this study was PLS-SEM by using Smart-PLS 3.0 software. The results of the study found that (1) Attitude toward behavior, subjective norm, and reward affect whistleblowing intentions; (2) Perceived behavioral control, seriousness of wrongdoing, and status of the wrongdoer does not affect whistleblowing intentions; (3) Legal protection is unable to strengthen the relationship between attitude toward behavior, subjective norm, perceived behavioral control, the seriousness of wrongdoing, status of the wrongdoer, and reward with whistleblowing intentions.
Comparative Analysis of Various Testing Techniques used for Aspect-Oriented Software System

Nowadays, Aspect-Oriented Programming (AOP) paradigm is getting more popularity in the field of software development. But testing an Aspect-oriented software system (AOSS) is not well matured. Therefore, many researchers have been focusing on testing an AOSS. Moreover, the literature indicates that very few papers have devoted to literature survey but still there is need to study in depth of various testing techniques used for AOSS. Therefore, in this paper, a comprehensive study of existing various testing techniques for AOSS have been conducted and present a comparative analysis result of various testing techniques based on various parameters.
Novel Active-Matrix Micro-LED Display With External Compensation Featuring Fingerprint Recognition

This letter proposes a novel active-matrix (AM) micro light-emitting diode (micro-LED) display architecture featuring fingerprint detection. A new pixel circuit comprising four transistors and one capacitor (4T1C) is proposed to compensate for threshold voltages externally. The proposed AM micro-LED display does not need any additional light sources and sensors because an LED itself can be used for photosensors. The proposed 4T1C pixel circuit can isolate the effects of LED photocurrents caused by ambient lights and large LED capacitance from detecting the threshold voltage via external circuits. The proposed AM pixel circuit with oxide thin film transistors was fabricated using oxide thin film transistor process. The charges caused by the LED photocurrents were accumulated for 16.7 ms. The final voltages measured after 16.7 ms were −5.02 V and −1.53 V under irradiance of 0.05 W/m2 and 1.54 W/m2, respectively. It is verified that the proposed micro-LED pixel circuit could distinguish incident lights reflected from ridges and valleys of a fingerprint.
Inertial and magnetic sensors

Οι αδρανειακοί αισθητήρες (αισθητήρες επιτάχυνσης και γωνιακής ταχύτητας) και οι μαγνητικοί αισθητήρες χρησιμοποιούνται ευρέως σε μεγάλο πλήθος εφαρμογών οι οποίες εκτείνονται από εμπορικά προϊόντα χαμηλού κόστους (κινητά τηλέφωνα, συστήματα συναγερμού κ.λπ.) μέχρι εφαρμογές υψηλής τεχνολογίας σε τομείς όπως η βιομηχανία, η ναυτιλία κ. α. Αισθητήρες υψηλής ακρίβειας είναι πλέον διαθέσιμοι σε μορφή τσιπ μαζί με τις απαραίτητες ηλεκτρονικές διατάξεις για τη ψηφιοποίηση και πολλές φορές και τη ψηφιακή επεξεργασία των μετρήσεων κάνοντας εύκολη την ενσωμάτωση των μαγνητικών αισθητήρων σε μεγαλύτερα συστήματα. Η παρούσα διατριβή πραγματεύεται τη βαθμονόμηση (calibration) αδρανειακών και μαγνητικών αισθητήρων καθώς και την αξιοποίηση των μετρήσεών τους σε εφαρμογές εντοπισμού θέσης (tracking) και πλοήγησης (navigation). Τόσο στην περίπτωση των αδρανειακών αισθητήρων όσο και σε αυτή των μαγνητικών αισθητήρων, κάθε μονάδα αισθητήρα χρειάζεται μια διαδικασία βαθμονόμησης μετά την παραγωγή της προκειμένου να παράγει μετρήσεις υψηλής ακρίβειας. Η παρούσα εργασία επικεντρώνεται σε αδρανειακούς και μαγνητικούς αισθητήρες τριών αξόνων και χαμηλού κόστους και εξερευνά μεθόδους και αλγορίθμους για την καλύτερη εκμετάλλευση των δεδομένων τους σε εφαρμογές που απαιτούν υψηλή ακρίβεια, όπως για παράδειγμα η πλοήγηση. Στο πρώτο της μέρος παρουσιάζονται μέθοδοι και αλγόριθμοι για την βαθμονόμηση αδρανειακών και μαγνητικών αισθητήρων καθώς και για την ευθυγράμμιση των αξόνων ευαισθησίας τους χωρίς την χρήση ειδικού εργαστηριακού εξοπλισμού. Οι προτεινόμενοι αλγόριθμοι στηρίζονται σε μεθόδους βελτιστοποίησης ενώ η εκτέλεση τους δεν απαιτεί σημαντικούς υπολογιστικούς πόρους. Στο δεύτερο μέρος, αναδεικνύεται η σημασία της βαθμονόμησης σε εφαρμογές πλοήγησης και στη συνέχεια παρουσιάζονται δύο χαρακτηρίστηκες εφαρμογές. Συγκεκριμένα, αρχικά, παρουσιάζεται ένα σύστημα αδρανειακής πλοήγησης το οποίο συνδυάζει τα δεδομένα αδρανειακών και μαγνητικών αισθητήρων τοποθετημένων στο παπούτσι ενός πεζού ανθρώπου και παρέχει μακροπρόθεσμα μια μεγάλης ακρίβειας εκτίμηση της θέσης. Στη συνέχεια, παρουσιάζεται ένα αδρανειακό σύστημα μέτρησης αποτελούμενο από πολλαπλούς αισθητήρες επιτάχυνσης σε συνδυασμό ένα αισθητήρα γωνιακής ταχύτητας. Το προτεινόμενο σύστημα κλειστού βρόχου αντισταθμίζει δυναμικά το σφάλμα μέτρησης των αισθητήρων επιτάχυνσης και προσφέρει μια εκτίμηση της επιτάχυνσης και της γωνιακής ταχύτητας με πολύ χαμηλά επίπεδα θορύβου.
Actual Maximum Junction Temperature Estimation Process of Multichip SiC MOSFET Power Modules With New Calibration Method and Deep Learning

This article proposes a new estimation process of the actual maximum junction temperature in multichip silicon carbide (SiC) MOSFET power modules. Temperature-sensitive electrical parameters (TSEPs) are common methods to estimate the junction temperature of power devices, but they have limitations in specifying the actual maximum junction temperature in multichip power modules with antiparallel diodes. Common TSEPs include body-diode forward voltage or ON-resistance of MOSFETs, but it is difficult to distinguish the impact of the antiparallel diodes and the ON-resistance-based method has low sensitivity under low-current calibration. In particular, the TSEPs have difficulty to calibrate the actual maximum junction temperature of a power module, which should solely detect the hottest device in the module. Therefore, a new dynamic calibration method is proposed using fiber optics while simultaneously monitoring factors related to the maximum junction temperature. Four critical parameters were measured from two different combinations: four- and ten-paralleled SiC MOSFET power modules with antiparallel diodes. Because of the abundant amount of measured data, data-driven modeling was conducted with a deep neural network (DNN). The trained models were evaluated, demonstrating distinctly better accuracy in the actual maximum temperature estimation, for both four-paralleled mean absolute error (MAE of 0.61 °C) and ten-paralleled (MAE of 0.72 °C) MOSFET modules.
Genome stability of the vaccine strain VACΔ6

Due to cessation of mass smallpox vaccination in 1980, the collective immunity of humans against orthopoxvirus infections has virtually been lost. Therefore, the risk of spreading zoonotic human orthopoxvirus infections caused by monkeypox and cowpox viruses has increased in the world. First-generation smallpox vaccines based on Vaccinia virus (VAC) are reactogenic and therefore not suitable for mass vaccination under current conditions. This necessitates the development of modern safe live vaccines based on VAC using genetic engineering. We created the VACΔ6 strain by transient dominant selection. In the VACΔ6 genome, f ive virulence genes were intentionally deleted, and one gene was inactivated by inserting a synthetic DNA fragment. The virus was passaged 71 times in CV-1 cells to obtain the VACΔ6 strain from the VAC LIVP clonal variant. Such a long passage history might have led to additional off-target mutations in VACΔ6 compared to the original LIVP variant. To prevent this, we performed a genome-wide sequencing of VAC LIVP, VACΔ6, and f ive intermediate viral strains to assess possible off-target mutations. A comparative analysis of complete viral genomes showed that, in addition to target mutations, only two nucleotide substitutions occurred spontaneously when obtaining VACΔ4 from the VACΔ3 strain; the mutations persisting in the VACΔ5 and VACΔ6 genomes. Both nucleotide substitutions are located in intergenic regions (positions 1431 and 189738 relative to LIVP), which indicates an extremely rare occurrence of off-target mutations when using transient dominant selection to obtain recombinant VAC variants with multiple insertions/deletions. To assess the genome stability of the resulting attenuated vaccine strain, 15 consecutive cycles of cultivation of the industrial VACΔ6 strain were performed in 4647 cells certif ied for vaccine production in accordance with the “Guidelines for Clinical Trials of Medicinal Products”. PCR and sequencing analysis of six DNA fragments corresponding to the regions of disrupted genes in VACΔ6 showed that all viral DNA sequences remained unchanged after 15 passages in 4647 cells.
Shifting online: 12 tips for online teaching derived from contemporary educational psychology research

Background Objectives Implications for Practice As a result of the COVID‐19 pandemic, many teachers found themselves making a rapid and often challenging shift from in‐person classroom teaching to teaching in an online environment. As teachers continue to learn about working in this new environment, research in cognitive and learning sciences, specifically findings from cognitive load theory and related areas, can provide meaningful strategies for teaching in this ‘new normal’. This paper describes 12 tips derived from contemporary research in educational psychology, focusing particularly on empirically supported strategies that teachers may apply in their online classroom to ensure that learning is optimized.These strategies are generalizable across age groups and learning areas, and are categorized into one of two themes: approaches to optimize the design of online learning materials, and instructional strategies to support student learning. A discussion follows, outlining how teachers may apply these strategies in different contexts, with a brief overview of emerging efforts that aim to bridge cognitive load theory and self‐regulated learning research. [ FROM AUTHOR] Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Prospects of Cannabis and its Cultivation in Sri Lanka

Cannabis ( Cannabis sativa L) is cultivated commercially in various parts of the world, predominantly for its medicinal properties (medicinal-type) and as a source of fibre and oilseed (fibre-type). The plant is known to contain over 567 chemical compounds out of which about one hundred chemicals belong to the highly valued unique class of Cannabinoids. At present, more than 25,000 Cannabis-based products worth 344 billion US$ are available at the world market. In a situation where the environmental agriculture is principally promoted, the present paper reviewed the applicability and potential worth of cultivating Cannabis as a medicinal plant in Sri Lanka. At present, Cannabis is restricted to be used in Sri Lanka, though the country spends about US$ 27,000 annually to import Cannabis for medicinal preparations. Cannabis is well-known for its wide range of environmental adaptation, higher nutrient and water use efficiency, low dependency on external inputs such as fertilizers and pesticides, high economic return for a unit area of land, and ability to cultivate both in indoors and outdoors. Considering the genetic resources and inherent knowledge, along with favourable climatic conditions available in the dry zone, suggest that Cannabis is an ideal crop, which could assure higher economic benefits under low inputs. While serving as a venture of foreign earnings, local cultivation would halt the country’s dependency on importation of Cannabis-based raw materials. However, legalization and cultivation should be rigorously monitored by an authorized body to ensure that the production meets the health regulations and utilized accordingly.
Post-Acquisition Integration: The Effect of Vision Communication on the Development of an Integration Capability and Alleviation of Task Uncertainties

Methodology: The method used is a single case study in a high tech company in Sweden, leader in network camera market. This work is a qualitative research, in which an inductive method and deductive analysis has been applied. Grounded-theory techniques have been used; eight semi-structured interviews were conducted-carefully and objectively selected following purposive sampling. Theoretical perspectives: The concept under study is integration capability under the scope of ‘dynamic capabilities’, along with communication and uncertainties. The first concept is approached in a context of external corporate venturing for innovation, in which firms need to integrate acquired companies for competence building. In order to extend this concept, the concept of communication of a vision studied in entrepreneurship literature and strategic management has been connect. Therefore, the aim is to operationalize integration capability concept, and analyze the effect of vision communication in task uncertainties during integration processes. Conclusions: Firms engage in an acquisition strategy as a mode of external corporate venturing, with the aim to innovate through reconfiguration of resources and competences. The integration is fundamental for the value capture process but it is highly complex as it requires task and human integration. Thus, firms develop a set of learned patterns that governs systematic execution of integration efforts, called ‘integration capability’. This work demonstrates that firms operationalize an integration capability through learning mechanisms such as codification, articulation and experiential learning. Furthermore, communication of the vision constitutes a generalizable task that has a double effect of alleviating task uncertainties during in Integration processes, and enhancing integration capability building. (Less)
The determinants of interest rate spreads in dollarized economies

ABSTRACT Twenty years after dollarizing, interest rate spreads remain considerably high in El Salvador and even higher in Ecuador, despite decreased deposit rates. Using panels covering the 2005–2019 period, we explore the determinants of interest rate spreads in these two dollarized countries. We find that bank-specific characteristics, such as market share and liquidity, play a significant role at accounting for the differences in spreads. Dollarization is also expected to promote the entry of international banks due to the elimination of depreciation risk. We find that the low degree of foreign bank participation in Ecuador also contributes to explaining spread differences. These findings point out to complementary reforms to extract the full benefits of dollarization.