Miracle-dz/UniFAR-FTUs huggingface dataset:
Constructivist Self-Construal: A Cross-Cultural Comparison

Building on independent versus interdependent self-construal theory, three studies provide initial empirical evidence for a third way of construing the self: the constructivist self-construal. People with a constructivist view perceive the self as constantly changing (impermanence), as a collection of distinct phenomena from moment to moment (discontinuity), as lacking an essence (disentification), and as psychologically overlapping with other people and things in the universe (boundlessness/boundaries). In Study 1, we piloted a new Constructivist Self-Construal Scale and established preliminary evidence for the discriminant validity of the scale. Studies 2 and 3 found that across seven countries with diverse cultural backgrounds, the self was consistently cognitively represented on the four dimensions of constructivist self. People from collectivistic cultures where Buddhist philosophy is more prevalent tended to endorse the dimensions of the constructivist self-construal to a greater degree than people from other cultures. Implications regarding the development of the constructivist self-construal and future research recommendations are discussed.
High frequency current conveyor precision full-wave rectifier

The design of a precision full-wave rectifier using current conveyors is reported. The design uses a voltage reference circuit to clad the voltage excursions at the output of the rectifier during the zero crossings, which ensures that the usual large signal distortion associated with classical precision rectifiers is avoided. Measured rectifier performance using a 100 MHz current conveyor demonstrates good rectifier integrity at an operating frequency of 30 MHz.
The Joint High Q0 R&D Program for LCLS-II

The superconducting RF linac for LCLS-II calls for 1.3 GHz 9-cell cavities with an average intrinsic quality factor Q0 of 2:7 10 10 at 2K and 16 MV/m accelerating gradient. A collaborative eort between Cornell University, FNAL, and JLab has been set up with the goal of developing and demonstrating a cavity treatment protocol for the LCLS-II cavities meeting these specifications. The high Q0 treatment protocol is based on nitrogen doping of the RF surface layer during a high temperature heat treatment. This novel SRF cavity preparation was recently developed at FNAL and shown to result in SRF cavities of very high Q0 at 2K with anincreaseinQ0 fromlowtomediumfields. N-dopedsingle cell cavities at Cornell, FNAL, and JLab routinely exceed LCLS-II specification. 9-cell N-doped cavities at FNAL achieveanaverageQ0(T=2K,16MV/m)of 3:4 10 10 with an average quench field of 19 MV/m, meeting therefore overall with good margin the LCLS-II specification.
Allergen-Specific IgE and IgG4 as Biomarkers for Immunologic Changes during Subcutaneous Allergen Immunotherapy

(1) Background: Biomarkers of efficacy for subcutaneous immunotherapy (SCIT) on allergic rhinitis have not been evaluated in details. The present study aims to assess the relevance of measuring of sIgE, sIgG4 and IgE/IgG4 ratio during SCIT in patients with allergic rhinitis; (2) Methods: 20 patients, 13 men and 7 women aged 19 to 58 years, with clinically manifested seasonal and perennial allergic rhinitis were studied. At the initiation and in the end of the three-year course of SCIT serum allergen-specific IgE and IgG4 were measured with ImmunoCAP system. The sIgE/sIgG4 ratio was calculated as a biomarker for immunologic effectiveness; (3) Results: There was a significant increase of sIgG4 antibodies (p < 0.05), while at the end of SCIT for the sIgE levels no significant changes were seen (p > 0.05). Moreover, 90% of patients showed a decrease of the IgE/IgG4 ratio; (4) Conclusions: In most of treated patients with AR, SCIT with Bulgarian allergen products leads to clear immunological changes. After a 3-year of SCIT there is a significant increase in allergen specific IgG4 levels and both decrease of sIgE and IgE/IgG4 ratio. sIgE, sIgG4 and IgE/IgG4 ratio can be used as a substantial biomarker for predicting immunological effectiveness of SCIT.
Hybrid Ventilation in an Air-Conditioned Office Building with a Multistory Atrium for Thermal Comfort: A Practical Case Study

This study involved a series of computational fluid dynamics simulations to evaluate the effectiveness of stack and displacement ventilation in providing better thermal comfort in an air-conditioned office building. To reduce energy consumption, the public area of the studied building is cooled by air from air-conditioned rooms with lower temperatures. The air, which is driven by buoyancy, then, flows outside through the multistory atrium. The simulation results indicated that displacement ventilation provides superior thermal comfort performance relative to stack ventilation. A design with a higher ceiling, a higher heat source and a lower inlet with cold air can substantially enhance the efficiency of displacement ventilation. Furthermore, handrails near the atrium play a crucial role because they help to retain cold air in the public space for a longer period, thereby contributing to a better predicted mean vote value.
FACTORS INFLUENCING THE GROWTH OF CRAFT BUSINESS IN BOGOR CITY

Bogor City has been the tourist destination for a long time, making this sector as the leading sector for the city. Tourism activities in Bogor City encourage the growth of creative industry especially craft business that reap the benefit through direct sales to the tourists as souvenirs. Many argue that unlike other industry in the economy, there are factors that influence the growth of creative industry beside factors of production. This study aims to identify factors that are significantly influencing the growth of craft business in Bogor City. Multiple regression analysis was used to analyze data collected through interviews with 35 owners of craft business which randomly selected from the sample framework. The data obtained including (1) number of workers, (2) capital, (3) raw materials, (4) showroom ownership, (5) participation in exhibitions, (6) business permit ownership, (7) market orientation, and (8) production quantity. The first three data correspond with factors of production in classical economy, while the rest are related to the characteristics of creative-cultural industry. The result shows that none of the variables related to the classical economy factors of production are statistically significant in this model, instead the variables that are related to characteristics of creative-cultural industry are significant. Among other significant variables, participation in exhibition is the most significant variable in affecting the growth of craft business in Bogor City.
A Spreading Factor Congestion Status-Aware Adaptive Data Rate Algorithm

LoRaWAN has established itself as one of the leading MAC layer protocols in the field of LPWAN. Although the technology itself is quite mature, its resource allocation mechanism, the Adaptive Data Rate (ADR) algorithm is still quite new, unspecified and its functionalities still limited. Various studies have shown that the performance of the ADR algorithm gradually suffers in dense networks. Recent studies and proposals have been made as attempts to improve the algorithm. In this paper, the authors proposed a spreading factor congestion status aware ADR version and compared its performance against that of four other related algorithms to study the performance improvements the algorithm brings to LoRaWAN in terms of DER and EC. LoRaSim was used to evaluate the algorithms’ performances in a simple sensing application that involved end devices transmitting data to the gateway every hour. The performances were measured based on how they affected DER as the network size increases. The results obtained show that the proposed algorithm outperforms the currently existing implementations of the ADR in terms of both DER and EC. However, the proposed algorithm is slightly outperformed by the native ADR in terms of EC. This was expected as the algorithm was mainly built to improve DER. The proposed algorithm builds on the existing algorithms and the ADR and significantly improves them in terms of DER and EC (excluding the native ADR), which is a significant step towards an ideal implementation of LoRaWAN’s ADR.
The AMIGAS Model: Reconciling Prejudice Reduction and Collective Action Approaches Through a Multicultural Commitment in Intergroup Relations

Social psychology’s search for ways to address intergroup inequality has grappled with two approaches that have been considered incompatible: (a) the prejudice reduction approach, that argues that changing individual negative attitudes will undermine the basis for discrimination and lead to intergroup harmony; and (b) the collective action approach, that argues that social protest and activism can improve the position of disadvantaged groups. The problem is that efforts toward prejudice reduction may serve to suppress genuine efforts to change. We propose the Achieving Multicultural Integration of Groups Across Society (AMIGAS) model, in which a multicultural commitment is proposed as a driver of both improved intergroup evaluations and promotion of collective action for reduced inequality, especially in contexts where there are conditions for a respectful intercultural dialogue. The AMIGAS model is a theoretical advance in the field of intergroup relations and a basis for implementing effective egalitarian policies and practices.
How is Online Disinhibition Related to Adolescents’ Cyberbullying Perpetration? Empathy and Gender as Moderators

The present study examined the relationship between online disinhibition and adolescents’ cyberbullying perpetration and investigated whether empathy and gender would moderate this relationship. A total of 2407 Chinese adolescents aged 11–16 years completed the questionnaires to measure their online disinhibition, empathy, and cyberbullying perpetration. Results indicated that high levels of online disinhibition were associated with high levels of cyberbullying perpetration, even after controlling for key covariates related to cyberbullying perpetration. Empathy significantly moderated the relationship between online disinhibition and cyberbullying perpetration. Specifically, this relationship was not significant at high levels of empathy. Moreover, the impact of empathy was moderated by gender. For male adolescents, online disinhibition was significantly associated with cyberbullying perpetration only when their empathy was low. For female adolescents, the relationship between online disinhibition and cyberbullying perpetration became nonsignificant, regardless of whether they had a low or high level of empathy.
Investigating neighbourhood effects in welfare-to-work transitions

We analyse the existence and underlying mechanisms of neighbourhood effects in welfare-to-work transitions. The analysis is based on Luxembourg social security longitudinal data, which covers the period 2001–2015 and provides precise information at the postcode level, corresponding mostly to streets. Our identification strategy exploits plausible exogenous variations among neighbours provided by the thinness of the housing market once controlling for residential sorting. We first examine interactions among all neighbours using an individual-level analysis, before focusing on interactions among only welfare recipients using a matched-pair analysis. This second step allows us to deal with the mediating effect of welfare recipients’ citizenship. The main findings highlight the existence of neighbourhood effects in welfare-to-work transitions, which are also affected by the characteristics of the neighbours, including their citizenship. These characteristics suggest that social norms and/or stigma prevail in welfare-to-work transitions over the support for welfare recipients to find a job, but not over the in-group support for welfare recipients. The matched-pair analysis provides contrasting results across citizenship for individuals from large-sized citizenship groups (interactions within the own group) and individuals from medium-sized groups (interactions between groups).
Knowledge, Perception, and Willingness towards Immunization among Bangladeshi Population during COVID-19 Vaccine Rolling Period

Vaccine willingness among the mass populace, as well as their proper knowledge and perception regarding vaccines and the vaccination process, may contribute extensively towards attaining their anticipated vaccination rates. The current study endeavored to ascertain the Bangladeshi population’s knowledge, perception, and willingness towards COVID-19 vaccination. Relevant information was collected from 1201 adults aged 18 years or older by employing an online-based survey from 1 to 30 July 2021. Descriptive statistics, the chi-square (χ2) test, and a binary logistic regression analysis were applied in order to compare the extent of knowledge and perception prevalent among different demographic groups and correlate such prevalence with respective vaccine willingness. The participants expressed mean (± standard deviation) knowledge and perception scores of 6.48 ± 1.13 out of 8 and 5.37 ± 1.22 out of 7, respectively. A multivariate analysis confirmed the significant association (p < 0.05) of gender, age, and family income with the knowledge score, whereas age and knowledge level significantly influenced perception. Current living area, family income, and age were considerable contributors to COVID-19 vaccine willingness. Overall vaccine willingness was found to be significantly curtailed by inadequate knowledge (AOR 0.514, CI 95% 0.401–0.658, p < 0.001) and perception (AOR 0.710, CI 95% 0.548–0.920, p = 0.010) among the participants. All of the concerned authorities’ efforts are warranted in order to improve public understanding, perception, and inclination towards vaccination.
"Magnetc Torque in Superoxide Ion is the Main Driving Force of Dioxygen Activation in Aerobic Life"

paired; therefore reactions catalysed by oxidases and oxygenases have to involve intersystem crossing (ISC), that is a total spin change in the state multiplicity during bio oxidation. These reactions are strictly forbidden in the ordinary non-relativistic quantum chemistry. In order to overcome this severe quantum prohibition and sovereign limitation of dioxygen-induced metabolism, oxygenation enzymes require usually a redox cofactor or paramagnetic metal cofactor for effective catalysis. The spin-containing metal ions have no formal spin prohibition for reactions with dioxygen. But many oxidative enzymes include the metal-free flavin or pterin cofactors; their catalytic activity in respect to O 2 still remains mysterious in modern biochemistry and medicine. Last decades have shown, that some oxygenases can catalyse dioxygen incorporation into organic substrates even in the absence of any enzymatic cofactor. The intriguing mechanism followed by those cofactor-free enzymes which enable to provide ISC and overcome spin prohibition has been unraveled recently on the ground of common idea about specific magnetic properties of dioxygen open shell. Similar spin-orbit coupling effects are typical for O 2 molecule and for some reactive oxygen species (ROS). These spin-orbit torques are vitally decisive forces for all aerobic life.
Human parainfluenza virus evolution during lung infection of immunocompromised humans promotes viral persistence.

The capacity of respiratory viruses to undergo evolution within the respiratory tract raises the possibility of evolution under the selective pressure of the host environment or drug treatment. Long-term infections in immunocompromised hosts are potential drivers of viral evolution and development of infectious variants. We show that intra-host evolution in chronic human parainfluenza virus 3 (HPIV3) infection in immunocompromised individuals elicited mutations that favor viral entry and persistence, suggesting that similar processes may operate across enveloped respiratory viruses. We profiled longitudinal HPIV3 infections from two immunocompromised individuals that persisted for 278 and 98 days. Mutations accrued in the HPIV3 attachment protein hemagglutinin-neuraminidase (HN), including the first in vivo mutation in HN's receptor binding site responsible for activating the viral fusion process. Fixation of this mutation was associated with exposure to a drug that cleaves host cell sialic acid moieties. Longitudinal adaptation of HN was associated with features that promote viral entry and persistence in cells, including greater avidity for sialic acid and more active fusion activity in vitro, but not with antibody escape. Long term infection thus led to mutations promoting viral persistence, suggesting that host-directed therapeutics may support the evolution of viruses that alter their biophysical characteristics to persist in the face of these agents in vivo.
Voltage Control Scheme for a Single-Phase Voltage Source Inverter Using Field Programmable Gate Array

Abstract The work focuses on the design and implementation of a field programmable gate array (FPGA) based voltage controller for a single-phase voltage source inverter (VSI) with an inductance-capacitance (L-C) filter. The control algorithm of the open loop and closed loop control schemes of the controller are designed using hardware descriptive languages (VHDL and VerilogHDL) and are implemented using Xilinx SPARTAN 3E FPGA. The sinusoidal pulse-width modulation (SPWM) technique is utilised to realise the controller with a provision to change the modulation index in response with varying load conditions. Suitable L-C filter is designed to minimise the undesirable frequency components in the output voltage. The efficacy of the proposed control schemes in FPGA is validated via successful interface with a prototype VSI and the experimental verification of the controllers are carried out under different loading conditions.
Pemanfaatan Sampah Makanan Menjadi Bahan Bakar Alternatif dengan Metode Biodrying

Biodrying adalah dekomposisi zat organik secara parsial dengan memanfaatkan panas yang dihasilkan oleh mikroorganisme dibantu aerasi. Zat organik dalam sampah makanan apabila tidak diolah, dapat menyebabkan pencemaran lingkungan. Padahal zat organik yang sebenarnya dapat dimanfaatkan sebagai energi atau SRF ( solid recovery fuel ). Penelitian diawali dengan penelitian pendahuluan untuk menentukan TDS ( total dry solid ). TDS berfungsi untuk menentukan debit udara. Setelah debit udara didapatkan, penelitian biodrying dimulai. Penelitian biodrying terdiri dari dua, pada penelitian pertama digunakan 4,8 kg sampel dengan debit udara 0,57 L/menit dan 1,13 L/menit. Penelitian kedua menggunakan 1,5 kg sampel dengan variasi debit udara 4 L/menit dan 7 L/menit. Temperatur tertinggi terdapat pada penelitian pertama yakni mencapai 40 o C. Temperatur maksimum harusnya mencapai 60 o C, sehingga dilanjutkan dengan penelitian kedua. Pada penelitian kedua suhu maksimum hanya mencapai 33oC, lebih rendah pada penelitian pertama. Pencapaian temperatur optimum dimaksudkan untuk membunuh bakteri patogen sehingga dihasilkan produk bahan bakar yang bersih. Berdasarkan waktu tinggal 14 hari, nilai kalor tertinggi material terdapat pada debit udara 7 L/menit didapatkan 4952 kal/gr sedangkan pada debit udara 4 L/menit didapatkan 4064 kal/gr.
ssessing the risks from Australia’s economic exposure to China

This paper suggests Australia’s economic exposure to China creates three distinct risks: a Chinese growth shock that comes with a ‘hard landing’, a structural shift towards less import and natural resources–intensive Chinese growth, and the Chinese Government disrupting trade ties for coercive purposes. With external demand for Australia’s goods and services largely exogenous, the scope to mitigate these risks by reducing exposure to China, without resorting to costly market intervention, is limited. At the same time, the probability and scale of each risk should not be overstated. Further undercutting the case for an intrusive public policy approach is the fact that effective mitigation mechanisms exist for the Australian economy as a whole, as well as for many businesses.
Physical Properties of Soybean

Abstract The dependence of physical properties of soybean on moisture content was determined. In the moisture range 8·7 to 25·0% d.b. , the length of grain increased from 6·32 to 6·75 mm, the width from 5·23 to 5·55 mm, the thickness from 3·99 to 4·45 mm, the geometric mean diameter from 5·09 to 5·51 mm, the sphericity from 0·806 to 0·816, the surface area from 0·813 to 0·952 cm 2 , the volume of grain from 0·091 to 0·113 cm 3 and thousand grain mass from 0·110 to 0·127 kg. Kernel density decreased from 1216 to 1124 kg/m 3 , bulk density from 735 to 708 kg/m 3 and porosity from 0·40 to 0·37.
Improving Motor Imagery EEG Classification by CNN with Data Augmentation

Brain Computer Interface (BCI) system enables human brain to communicate with the external world without the involvement of muscle and peripheral nerves. Motor Imagery(MI) Electroencephalogram (EEG) is one of brain signals commonly used in the BCI system. Recently, deep learning models such as Convolutional Neural Network (CNN) have received widespread attention and provided better classification performance in MI EEG classification compared to other state of art approaches because they can learn the features that are most relevant to the task at hand. However, the performance of CNN largely depends on its architecture as well as the quality and quantity of training data. Current MI EEG data are scarce because the data collection is relatively expensive and therefore effective data augmentation methods are particularly important to improve the MI classification performance. In this paper, we first propose a shallow CNN architecture as well as a new and effective data augmentation method to compensate the shortcoming of data insufficiency, then we apply the method of superposing and normalizing the signals of the same labels across subjects and time to generate additional EEG data. The proposed superimposed data augmentation method can enable the signals preserve the intrinsic characteristics and reduce the signals drift over time and subjects. We evaluate the proposed architecture and method on the PhysioNet dataset, the experimental results show that the proposed CNN architecture performs better than the previous architectures and can achieve an average accuracy of 91.06% in two-class classification tasks. In addition, the proposed data augmentation method can improve the average accuracy from 73.46% to 76.78% in four-class classification tasks for all 109 subjects, which proves the effectiveness of the proposed method.