Miracle-dz/UniFAR-FTUs huggingface dataset:
Item Context Effects Are Relevant for Monitoring Evaluative Well-being: Replication of Previous Work and Mitigation

To ensure the accuracy of self-reported data, it is important to reduce potential sources of bias such as the unwanted influence of prior questions on subsequent questions, the so-called item context effect. This article attempts to replicate the finding that evaluative subjective well-being was affected by a preceding item, a question about the political atmosphere in the country; it also examines manipulations that could mitigate the impact of the context-inducing item on well-being. Study 1 used a sample of 4,500 participants recruited from Amazon’s Mechanical Turk; it examined the effect of three manipulations based on adding buffer questions or adding text to reorient participants’ attention. A context effect was found, and one manipulation mitigated the context effect. Study 2 used a nationally representative sample (n = 906); it only replicated the context effect. These results reaffirm the importance of carefully considering item context effects in survey research.
Small-signal dynamic modeling of grid-connected PV system and eigenvalue sensitivity analysis of the controller parameters

The ideal inverter models are currently used to analyze the small-signal stability of the grid-connected PV system, which did not consider the impact of the control parameter. To analyze the dynamics of the photovoltaic grid-connected system, a complete small-signal model of two-stage three-phase grid-connected PV system is developed. This integrated model consists of two sub-models: one is the model of main circuit, the other is the model of double closed-loop control system of MPPT and voltage and current. Based on the above model, the parameters of the control system on the grid system eigenvalue sensitivity are calculated, and the impact of each controller parameters on the system small signal stability is analyzed. The analysis result shows that the small signal stability of the system can be improved by adjusting the controller parameters, and provides a theoretical basis for optimization design of the controller.
A Normal Weighted Inverse Gaussian Distribution for Skewed and Heavy-Tailed Data

High frequency financial data is characterized by non-normality: asymmetric, leptokurtic and fat-tailed behaviour. The normal distribution is therefore in-adequate in capturing these characteristics. To this end, various flexible distributions have been proposed. It is well known that mixture distributions produce flexible models with good statistical and probabilistic properties. In this work, a finite mixture of two special cases of Generalized Inverse Gaussian distribution has been constructed. Using this finite mixture as a mixing distribution to the Normal Variance Mean Mixture we get a Normal Weighted Inverse Gaussian (NWIG) distribution. The second objective, therefore, is to construct and obtain properties of the NWIG distribution. The maximum likelihood parameter estimates of the proposed model are estimated via EM algorithm and three data sets are used for application. The result shows that the proposed model is flexible and fits the data well.
Alunos com deficiência física: cognições sobre suas habilidades sociais e de seus colegas

Pesquisas em habilidades sociais (HS) de alunos com deficiência ainda se mostram timidamente no contexto da Educação Física. O objetivo deste trabalho é conhecer o que alunos com deficiência física pensam sobre suas HS e de seus colegas e sobre sua relação interpessoal nas aulas de Educação Física. Participaram cinco alunos com deficiência física não cadeirantes, de 11 a 15 anos, do ensino fundamental II, do 6° ao 9° ano, de cinco escolas municipais de Santarém-Pará. Para coleta de dados, foi utilizada a entrevista semiestruturada. Para análise de dados, foi utilizada a técnica do Discurso do Sujeito Coletivo. Os resultados apresentaram que os participantes reconhecem e compreendem suas HS e de seus colegas e concluem que seus colegas ainda têm atitudes de discriminação e exclusão por conta de sua condição física. Contudo, percebem que as HS estão presentes no contexto das aulas de Educação Física e favorecem o contexto inclusivo.
Prospek Pengembangan Metode Identifikasi Spesies Burung berdasarkan Spektrum Suara menggunakan Analisis Spektogram

Bird species can be identified using bird’s sound. Research about sound bird identification is lacking in Indonesia. This research is initial study to classify bird based on sound and its spectrum. The research was done in Laboratory of Animal Anatomy to record bird sample sound and Laboratory of Computation Physics for data analysis. This research used five recorded sound birds, i.e. Blue-Crowned (Loriculus galgulus), Greater Green (Chloropsis sonnerati), Black-Crested (Pycnonotus melanicterus), Long-Tailed (Lanius schach), and Asian Pied Starling (Sturnus contra). Identification of bird sound spectrum has been done using Fast Fourier Transform (FFT) method. Bird sounds and spectral that plotted in time-domain and in frequency-domain, were indicated unique pattern lead to bird identification method. The result showed that five birds recorded had different sound characteristics, both in time domain and sound spectrum frequency domain. The sound spectrum identification method can be used as initial step toward bird species classification called sono-taxonomy.
Tumor Microenvironment and Hydrogel-Based 3D Cancer Models for In Vitro Testing Immunotherapies

Simple Summary Immunotherapies are emerging as promising strategies to cure cancer and extend patients’ survival. Efforts should be focused, however, on the development of preclinical tools better able to predict the therapeutic benefits in individual patients. In this context, the availability of reliable preclinical models capable of recapitulating the tumor milieu while overcoming the limitations of traditional systems is mandatory. Here, we review the tumor immune responses, escape mechanisms, and the most recent 3D biomaterial-based cancer in vitro models useful for investigating the effects of the different immunotherapeutic approaches. The main challenges and possible future trends are also discussed. Abstract In recent years, immunotherapy has emerged as a promising novel therapeutic strategy for cancer treatment. In a relevant percentage of patients, however, clinical benefits are lower than expected, pushing researchers to deeply analyze the immune responses against tumors and find more reliable and efficient tools to predict the individual response to therapy. Novel tissue engineering strategies can be adopted to realize in vitro fully humanized matrix-based models, as a compromise between standard two-dimensional (2D) cell cultures and animal tests, which are costly and hardly usable in personalized medicine. In this review, we describe the main mechanisms allowing cancer cells to escape the immune surveillance, which may play a significant role in the failure of immunotherapies. In particular, we discuss the role of the tumor microenvironment (TME) in the establishment of a milieu that greatly favors cancer malignant progression and impact on the interactions with immune cells. Then, we present an overview of the recent in vitro engineered preclinical three-dimensional (3D) models that have been adopted to resemble the interplays between cancer and immune cells and for testing current therapies and immunotherapeutic approaches. Specifically, we focus on 3D hydrogel-based tools based on different types of polymers, discussing the suitability of each of them in reproducing the TME key features based on their intrinsic or tunable characteristics. Finally, we introduce the possibility to combine the 3D models with technological fluid dynamics platforms, reproducing the dynamic complex interactions between tumor cells and immune effectors migrated in situ via the systemic circulation, pointing out the challenges that still have to be overcome for setting more predictive preclinical assays.
Coral Recovery in the Central Mexican Pacific 20 Years after the 1997–1998 El Niño Event

El Niño–Southern Oscillation (ENSO) events are increasing globally in both frequency and strength, and they can elicit coral bleaching events. The 1997–1998 ENSO caused mass coral mortality with a 96% decline in live coral cover along the Central Mexican Pacific. However, in recent years, these sites have shown signs of recovery. We used data collected in 1997 and 2015–2017 to evaluate the coral recovery in this region and coral cover levels have now reached 50% of their pre-1997–1998 El Niño values. Furthermore, a strong 2015–2016 ENSO event did not significantly affect the live coral cover, potentially demonstrating that the local corals have acclimatized or even adapted to higher temperatures. Even though branching species remain the most abundant morphotype, a PERMANOVA revealed significant changes in the coral assemblage. Collectively, this dataset is testament to the fact that corals within this region are capable of resisting or at least partially recovering from thermal anomalies caused by ENSO events.
Compact Wideband Pattern Reconfigurable Antennas Inspired by End-Fire Structure for 5G Vehicular Communication

Aiming for 5G-NR vehicular applications, this paper proposes two miniaturized wideband pattern reconfigurable antennas with different pattern steering capabilities. They are inspired by an end-fire structure that could be easily mounted on cars. This newly proposed planar pattern reconfigurable end-fire structure is firstly presented and studied by current distribution and equivalent circuit analysis. By turning the ON / OFF state of the PIN diodes on the passive dipole, a planar reconfigurable antenna with one omnidirectional and two end-fire beams is implemented. Additionally, a low-profile pattern diversity antenna with a compact size of 0.311 λ0 × 0.244 λ0 × 0.106 λ0 is implemented by loading a reactive metasurface, its main lobe can be steered in the broadside direction (35°, 0°, and −35°). Both antennas achieve a wideband response over 3.30 to 4.20 GHz (24.0%) range and good radiation efficiency of 84.0%. They feature the advantages of a miniaturized size (low-profile), structurally simple and fabrication friendly design, wideband, good radiation efficiency (low-loss), and flexible multi-beam switching capability, which are well suited for the coming sub 6 GHz vehicular applications in different scenarios.
Implementation of Teacher Professionalism Recruitment in SMK NW Wanasaba

The implementation of recruitment must be planned and systematic in order to be able to produce quality human resources and be able to obtain resources that can be placed in the required positions.The purpose of this study was to find out how the implementation of teacher professionalism recruitment at SMK NW Wanasaba and SMK IT Yasrun.This study uses a qualitative approach. Data collection techniques using observation, interviews, and documentation studies. Research informants are principals, teachers and administrative staff. The results of the study found: the implementation of new teacher recruitment has not been effective. It can be seen that the activities of the new teacher recruitment procedure carried out by the school have not been carried out systematically. Thus, it is concluded thatdthe nature of the implementation of teacher recruitment is not in accordance with existing theory, in preparation for the recruitment of educators (teachers) must be more conceptualized and more mature in order to get energy professional educator. Implementation of the training includes: determination of needs, determination of training targets, implementation of training. The type of trainingis still minimal and its implementation is still in the madrasa environment
High-Performance Thermal Management for High-Power High-Frequency Transformers

Abstract The paper discusses a new approach to the design of thermal management for high-frequency high-power transformers. Proposed thermal management concept is based on heat removal by conduction aided by advanced heat conducting elements (heat pipes). The heat is collected on dedicated surfaces called thermal surfaces where the heat exchange with the environment occurs. Several implementations of heat removal paths are proposed and core and winding structures are analysed in order to reach an optimal heat removal solution. Further, the proposed heat removal concept is evaluated with a focus on the design and evaluation process of the thermal management system. The paper is concluded with experimental results on a 50 kW transformer prototype that utilises the proposed heat removal concepts. Experimental results of a full power converter prototype are briefly discussed as well.
The Effect of Fake Reviews on e-Commerce During and After Covid-19 Pandemic: SKL-Based Fake Reviews Detection

The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautionary measures lead to a global increase in online shopping. The increasing significance of online shopping and extensive use of e-commerce has increased competition between companies for online selling. Highlights that online reviews play a significant role in boosting a business or slandering it. Product review is an essential factor in customers’ decision-making, leading to an intense topic known as fraudulent or fake reviews detection. Given these reviews’ power over a business, the treacherous acts of giving false reviews for personal gains have increased with time. In our research, we proposed a fake review detection model by using Text Classification and techniques related to Machine Learning. We used classifiers such as Support Vector Machine, K-Nearest Neighbor, and logistic regression (SKL), using a bigram model that detects fraudulent reviews based on the number of pronouns, verbs, and sentiments. Our proposed methodology for detecting fake online reviews outperforms on the yelp dataset and the TripAdvisor dataset compared to other state-of-the-art techniques with 95% and 89.03% accuracy.
Effects of Combination Oral Contraceptives on Bone Mineral Density and Metabolism in Perimenopausal Korean Women

Objectives A retrospective cohort study was conducted to evaluate the effects of combination oral contraceptives (COCs) on bone mineral density (BMD) and metabolism in perimenopausal Korean women. Methods The study subjects comprised two groups. The COC group included 55 women who took low-dose COC for at least one year to control vasomotor symptoms. Another 55 women who had annual checkups without history of COC use served as controls. BMD and bone turnover markers were assessed periodically. Results In the control group, 12-month BMD values at the lumbar spine (LS) and total hip (TH) significantly decreased with a greater magnitude at LS, and bone resorption (BR) and formation (BF) markers increased concurrently with a larger change in BR. COCs increased BMD at LS after 12 months and prevented BMD decline at TH. Multivariable linear regression revealed a significant difference in LS BMD between groups at 12 months. In the COC group, there were significant negative correlations between baseline BMD and Z-score at LS and corresponding changes at 12 months. COCs did not alter BR markers, whereas BF markers were significantly decreased at 3 months. Group comparison at 12 months, as tested with adjusted linear regression, disclosed significant differences in both BR and BF makers. Conclusions Bone loss associated with activated bone turnover is evident during the menopausal transition, and COCs might prevent BMD decrease and suppress bone turnover markers in perimenopausal Korean women. Significant increase in LS BMD and decreases in BF makers suggest underlying mechanisms of greater impact on BF.
Adaptive protograph-based BICM-ID relying on the RJ-MCMC algorithm: a reliable and efficient transmission solution for plasma sheath channels

For reentry communication, owing to the influence of the highly dynamic plasma sheath (PS), the parasitic modulation effect can occur and the received phase shift keying (PSK) signal constellation can be severely rotated, leading to unacceptable demodulation performance degradation. In this work, an adaptive noncoherent bit-interleaved coded modulation with iterative decoding (BICM-ID) system with binary PSK (BPSK) modulation and protograph low-density parity-check (LDPC) under the PS channel is proposed. The proposed protograph-based BICM-ID (P-BICM-ID) system can achieve joint processing of demodulation and decoding, where the soft information is adaptively estimated by reversible-jump Markov chain Monte Carlo (RJ-MCMC) algorithms. Simulation results indicate that the proposed system can adapt well to the dramatic and nonstationary characteristics of the PS channel and can obtain a greater 5 dB performance improvement compared to existing algorithms at a bit error rate (BER) of 10−6. Index Terms—Plasma sheath, BICM-ID, Markov Model, Joint Demodulation and Decoding.
Global Identification and Characterization of C2 Domain-Containing Proteins Associated with Abiotic Stress Response in Rice (Oryza sativa L.)

C2 domain-containing proteins (C2DPs) have been identified in different genomes that contain single or multiple C2 domains in their C- or N-terminal. It possesses higher functional activity in the transmembrane regions. The identification of C2 domains were reported in a previous study, such as multiple C2 domains and transmembrane-region proteins (MCTPs) and N-terminal-TM-C2 domain proteins (NTMC2s) of rice, Arabidopsis thaliana, and cotton, whereas the C2DP gene family in rice has not been comprehensively studied, and the role of the C2DP gene in rice in response to abiotic stress is not yet fully understood. In this study, we identified 82 C2DPs in the rice genome and divided them into seven groups through phylogenetic analysis. The synteny analysis revealed that duplication events were either exhibited within the genome of rice or between the genomes of rice and other species. Through the analysis of cis-acting elements in promoters, expression profiles, and qRT-PCR results, the functions of OsC2DPs were found to be widely distributed in diverse tissues and were extensively involved in phytohormones-related and abiotic stresses response in rice. The prediction of the microRNA (miRNA) targets of OsC2DPs revealed the possibility of regulation by consistent miRNAs. Notably, OsC2DP50/51/52 as a co-tandem duplication exhibited similar expression variations and involved the coincident miRNA-regulation pathway. Moreover, the results of the genotypic variation and haplotype analysis revealed that OsC2DP17, OsC2DP29, and OsC2DP49 were associated with cold stress responses. These findings provided comprehensive insights for characterizations of OsC2DPs in rice as well as for their roles for abiotic stress.
Mesomorphy and vulnerability indices of Solanum melongena and Corchorus olitorius in Nsukka metropolis

Global warming is no longer just a prediction. It is happening. Variability in climate is deeply rooted within the West African society. Understanding the response of plants to increased drought would be desirable in the light of global and regional changes, not only to forecast population dynamics in natural ecosystem, but also to adjust management practices in agriculture. This study evaluated the vulnerability and mesomorphic indices of two woody farm shrubs (Solanum melongena and Corchorus olitorius) from three locations (Odoru, Ogige, Odenigwe) using their anatomical structures. The sectioning of the plant stems was carried out in the anatomy laboratory of the department of Plant science and Biotechnology, University of Nigeria Nsukka. The result was significantly different (P <0.05) in the vessel length of the two plants with Corchorus olitorius having longer vessels (0.302 ± 0.012mm). Similarly, the vessel length varied significantly (P < 0.05) across the different locations. The vulnerability and mesomorphy indices observed across the plants from the different locations were <1 indicating the xeromorphic nature of the plants. Therefore, both species can withstand drought conditions, but at different degrees.
Targeting Protein O-GlcNAcylation, a Link between Type 2 Diabetes Mellitus and Inflammatory Disease

Unresolved hyperglycaemia, a hallmark of type 2 diabetes mellitus (T2DM), is a well characterised manifestation of altered fuel homeostasis and our understanding of its role in the pathologic activation of the inflammatory system continues to grow. Metabolic disorders like T2DM trigger changes in the regulation of key cellular processes such as cell trafficking and proliferation, and manifest as chronic inflammatory disorders with severe long-term consequences. Activation of inflammatory pathways has recently emerged as a critical link between T2DM and inflammation. A substantial body of evidence has suggested that this is due in part to increased flux through the hexosamine biosynthetic pathway (HBP). The HBP, a unique nutrient-sensing metabolic pathway, produces the activated amino sugar UDP-GlcNAc which is a critical substrate for protein O-GlcNAcylation, a dynamic, reversible post-translational glycosylation of serine and threonine residues in target proteins. Protein O-GlcNAcylation impacts a range of cellular processes, including inflammation, metabolism, trafficking, and cytoskeletal organisation. As increased HBP flux culminates in increased protein O-GlcNAcylation, we propose that targeting O-GlcNAcylation may be a viable therapeutic strategy for the prevention and management of glucose-dependent pathologies with inflammatory components.
On τ-bounded spaces and hyperspaces

In this paper, we prove facts and properties on ? -bounded spaces, which are introduced in [10]. More precisely, we prove that an arbitrary product of ? -bounded spaces is ? bounded and vice versa, and that the ? -bounded property is preserved by ? -continuous maps. In particular, continuous maps preserve ? -bounded spaces. Moreover, we investigate the behavior of the minimal tightness and functional tightness of topological spaces under the influence of an exponential functor of finite degree. It is proved that this functor preserves the functional tightness and the minimal tightness of compact sets.
Determination of changes in the mechanical and color properties of some wood species treated with shellac

The properties of wood, which is a natural and sustainable substance, change under biotic and abiotic factors. Different methods along with chemical/natural substances are used to extend the service life of wood and increase its performance under different conditions. Shellac is a natural product secreted by insects onto host trees. It is used extensively as a coating, especially in the food and pharmaceutical industries. Its natural properties and biocompatibility increase the areas where it is used. This study investigated the effects on the physical and mechanical properties of pine, beech, and fir species impregnated with shellac solutions at different concentrations (1%, 3%, and 5%) and sodium hydroxide (NaOH). The study found that 10% NaOH solution caused significant decreases in the bending strength values. The highest bending strength values were obtained for the Scots pine and fir woods at 5% shellac concentration and for the beech wood at 1% concentration. The highest modulus of elasticity (MOE) values were reached at 1% shellac concentration in all three tree species. Although the lightness (L*) of the wood samples decreased with shellac impregnation, the chromatic coordinate (a* and b*) values increased. According to the Fourier-transform infrared (FTIR) spectroscopy results, changes were determined in the chemical structures of the wood samples impregnated with NaOH, whereas the shellac did not cause a change in the chemical structure of the wood samples.