Miracle-dz/UniFAR-FTUs huggingface dataset:
An inverse relationship between South China Sea summer monsoon intensity and ENSO

Abstract Correlations between the South China Sea summer (June-September) monsoon (SCSSM) and El Niño Southern Oscillation (ENSO) for the past 32 years (1979–2010) were analyzed. As a result, a higher (lower) SST in the Niño-3.4 areas was associated with a weaker (stronger) SCSSM intensity. To examine the cause of this correlation, the differences between the June-September average of 8 El Niño years and the June-September average of 8 La Niña years were analyzed. Differences in the 850 hPa stream flows between the two groups found that anomalous huge cyclones existed in the subtropical Pacific regions of both hemispheres, which reinforced cold and dry anomalous northerlies in the SCS and anomalous westerlies from the Maritime Continent (MC) to the coastal waters of Chile. An analysis of the differences in the 200 hPa stream flows between the two groups found an anomalous pressure system pattern that was opposite to the result of the analysis of the differences in the 850 hPa stream flows between the two groups. Anomalous anticyclones existed in the subtropical Pacific of both hemispheres, which reinforced the anomalous easterlies from the MC to the equatorial central Pacific. When the anomalous atmospheric circulations of the upper and lower layers of the troposphere were also considered, the structure of anomalous atmospheric circulations in which the air current that rose in the equatorial central and eastern Pacific fell down in the MC. This indicates weakening of the Walker Circulation and a typical structure of atmospheric circulations that appears in El Niño years.
Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)

To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a methodology which was simulated the energy dynamics of a ground vehicle in parallel to running predictive neural network (NN) based predictive algorithms to address two separate research questions: (1) can energy and exergy flow characterization be developed at a future point in time, and (2) can we use the predictive algorithms to extend the energy and exergy flow characterization and derive operational intelligence, used to inform our control based algorithms or provide optimized recommendations to a battlefield commander in real-time. Using our predictive algorithms we confirmed that the future energy and exergy flow characterizations could be generated using the NNs, which was validated through simulation using two separately created datasets, one for training and one for testing. We then used the NNs to implement a model predictive control (MPC) framework to flexibly operate the vehicles thermal coolant loop (TCL), subject to exergy destruction. In this way we could tailor the performance of the vehicle to accommodate a more mission effective solution or a less energy intensive solution. The MPC resulted in a more effective solution when compared to six other simulated conditions, which consumed less exergy than two of the six cases. Our results indicate that we can derive operational intelligence from the predictive algorithms and use it to inform a model predictive control (MPC) framework to reduce wasted energy and exergy destruction subject to the variable operating conditions.
Significant Parent-of-Origin Effects for Seed, Cotyledon, and Early Plant Growth Traits in Cucumber

Parent-of-origin effects have long been recognized and exploited in plant breeding and genetic studies. These effects can be conferred by preferential expression of an allele from one parent, organellar effects, or altered organellar-nuclear interaction. The goal of this work was to evaluate parent-of-origin effects on seed, cotyledon, and early growth traits in cucumber using a full eight-by-eight diallel from crossing two doubled haploids (DHs) extracted from each of four cucumber populations. Significant general combining ability (GCA), specific combining ability (SCA), and reciprocal effects were observed for all traits, and direction and magnitude of effects were DH rather than population specific. Transcriptome analyses of reciprocal hybrids with and without significant reciprocal effects for early plant growth revealed that different pathways were associated with the significant reciprocal differences. These findings are consistent with the DH-specific nature of combining abilities and reciprocal effects across cucumber populations. Because reciprocal effects were DH and hybrid-combination specific, cucumber breeders should generate and evaluate both hybrids from reciprocal crossing for improved hybrid development.
A Cross-Cultural Adaptation and Validation of a Second-Language (L2) Motivation Instrument in South Korea

In this research, we tested the psychometrics of a translated and adapted second language learning motivation instrument among Korean English learners. A total of 1373 college students from 9 universities and 11 majors in South Korea responded to the questionnaire. After the content validation, back-translation, and pilot study, 12 factors and 76 items were chosen for further construct validation. The data were then analyzed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Through EFA, 11 factors and 55 items were extracted while CFA analysis indicated good fit (CFI > 0.9, SRMR = 0.05, RMSEA < 0.05) of the measurement model. The results of this study showed acceptable psychometrics properties of questionnaire which is culturally and structurally appropriate in a Korean college context.
The genome sequence of the large tortoiseshell, Nymphalis polychloros (Linnaeus, 1758)

We present a genome assembly from an individual female Nymphalis polychloros (the large tortoiseshell; Arthropoda; Insecta; Lepidoptera; Nymphalidae). The genome sequence is 398 megabases in span. The majority of the assembly is scaffolded into 32 chromosomal pseudomolecules, with the W and Z sex chromosome assembled.
Exploration of Data Space Through Trans‐Dimensional Sampling: A Case Study of 4D Seismics

We present a novel methodology for exploring 4D seismic data in the context of monitoring subsurface resources. Data‐space exploration is a key activity in scientific research, but it has long been overlooked in favor of model‐space investigations. Our methodology performs a data‐space exploration that aims to define structures in the covariance matrix of the observational errors. It is based on Bayesian inferences, where the posterior probability distribution is reconstructed through trans‐dimensional (trans‐D) Markov chain Monte Carlo sampling. The trans‐D approach applied to data‐structures (termed ”partitions”) of the covariance matrix allows the number of partitions to freely vary in a fixed range during the McMC sampling. Due to the trans‐D approach, our methodology retrieves data‐structures that are fully data‐driven and not imposed by the user. We applied our methodology to 4D seismic data, generally used to extract information about the variations in the subsurface. In our study, we make use of real data that we collected in the laboratory, which allows us to simulate different acquisition geometries and different reservoir conditions. Our approach is able to define and discriminate different sources of noise in 4D seismic data, enabling a data‐driven evaluation of the quality (so‐called “repeatability”) of the 4D seismic survey. We find that: (a) trans‐D sampling can be effective in defining data‐driven data‐space structures; (b) our methodology can be used to discriminate between different families of data‐structures created from different noise sources. Coupling our methodology to standard model‐space investigations, we can validate physical hypothesis on the monitored geo‐resources.
The Role of Socially Assistive Robots in the Care of Older People: To Assist in Cognitive Training, to Remind or to Accompany?

The rapid development of new technologies has caused interest in the use of socially assistive robots in the care of older people. These devices can be used not only to monitor states of health and assist in everyday activities but also to counteract the deterioration of cognitive functioning. The aim of the study was to investigate the attitudes and preferences of Polish respondents towards interventions aimed at the preservation/improvement of cognitive functions delivered by a socially assistive robot. A total of 166 individuals entered the study. Respondents completed the User’s Needs, Requirements and Attitudes Questionnaire; items connected to cognitive and physical activity and social interventions were analyzed. Perceptions and attitudes were compared by gender and age groups (older adults ≥ 60 years old and younger adults 20–59). Women showed a more positive attitude towards robots than men and had a significantly higher perception of the role of the robots in reminding about medications (p = 0.033) as well as meal times and drinks (p = 0.018). There were no significant differences between age groups. Respondents highly valued both the traditional role of the robot—a reminding function—as well as the cognitive interventions and guided physical exercises provided by it. Our findings point to the acceptance of the use of socially assistive robots in the prevention of cognitive deterioration in older people.
The Drivers of the Sustainability of Spanish Wineries: Resources and Capabilities

This article aims to determine which of a firm’s resources are drivers of its decisions on sustainability policies. For this purpose, it analyses four of the resources that the literature has linked with sustainability: (1) marketing resources, (2) technological resources, (3) innovation resources and (4) financial resources. The study focuses on Spain, which has the largest surface area under vine in the world. The database for the empirical analysis was drawn up from a survey among wineries carried out during 2020 and 2021. A total of 411 observations were valid. From the quantitative analysis, based on Box–Cox models, it can be concluded that adopting sustainability policies requires placing stress on innovation and on the capacity for communicating such innovations so that consumers perceive them as a change for the better; having greater technological or financial resources seems to be insufficient and of little importance. The results indicate that promoting funding and resource availability as basic tools should be reviewed in sustainability policies for wine firms.
Methods of Exploring Related-Meaning-Based False Memories

ABSTRACT Children have traditionally been viewed as less reliable witnesses than are adults. More recently, a concept known as developmental reversals, has brought this view into question. Developmental reversals have demonstrated that in certain contexts, children produce fewer false memories than adults. The primary paradigm used to demonstrate developmental reversals, and to study false memory in general, has been the Deese-Roediger-McDermott (DRM) paradigm. However, other false memory paradigms are not consistently related to the DRM, nor do they often produce developmental reversals. This study examined the relation between the DRM and another theoretically similar non-DRM paradigm (i.e., a picture memory task (PMT)), both known to produce false memories in children and adults. Young children (5- to 8-year-olds, n = 37), older children (9- to- 12-year-olds, n = 42) and adults (18- to- 22-year-olds, n = 40) completed the DRM and the PMT. Although false memories were found using both tasks, and predicted developmental patterns in false memory were also found with both tasks, false memory produced by the DRM was not related to false memory produced by the PMT. Theoretical and legal implications are discussed.
Bladder mucosa-associated lymphoid tissue lymphoma progressed from chronic cystitis along with a comparative genetic analysis during long-term follow-up: a case report

The pathogenesis of bladder marginal zone/mucosa-associated lymphoid tissue (MALT) lymphoma, which is the most common type of primary bladder lymphoma, has not been clarified. There are no reports that described histological and molecular time course of MALT lymphoma occurring in the bladder and the importance of the score on the Pelvic Pain and Urgency/Frequency (PUF) patient symptom scale during and after radiation therapy (RT). We present a case of MALT lymphoma with long-term comparative genetic analysis. A 77-year-old Japanese woman with hematuria and severe perineal pain was found to have a tumor-like lesion in the bladder trigone. She was diagnosed with cystitis based on the results of pathological examination and immunostaining after transurethral resection of the lesion. The second transurethral resection procedure was performed approximately 4 years after the first procedure because of recurrence of the hematuria and enlargement of a lesion in the left bladder wall. Postoperative pathologic examination confirmed a diagnosis of MALT lymphoma. Genetic analysis of immunoglobulin heavy chain (IGH) gene rearrangements showed more clonal progression from the first biopsy to the second. The patient then underwent RT, during which her perineal pain was exacerbated by radiation cystitis but finally decreased to a level less severe than that before treatment. The PUF patient symptom scale was useful to monitor her pain throughout the clinical course. No recurrence was detected more than 2 years after completion of RT.
Impact of Internet Information on Apple Growers’ Adaptive Behaviors to Frost Disasters: Theory and Empirical Research from the Perspective of Psychological Perception

As an effective tool for farmers to obtain agricultural information, the Internet has a profound impact on apple growers’ perception of frost disasters and their adaptive behaviors. This paper constructed the theoretical analysis framework of “Apple growers’ internet information acquisition-psychological perception-adaptive behavior to frost disaster”, based on the data of 1020 apple growers in Shaanxi Province, empirically analyzing the impact of Internet information on apple growers’ adaptive behaviors to frost disasters and its mechanism by the IV probit model and the intermediary effect model. The research found that the Internet information can significantly promote the apple growers’ adaptive behaviors to frost disasters and has different effects on apple growers with different income levels and different management capabilities. Risk perception, effect perception, and risk attitudes have significant intermediary effects in the influence of the Internet information on apple growers’ adaptive behaviors to frost disasters. Therefore, when governments take advantage of the Internet platform to help apple growers cope with frost disasters, they should fully consider the socio-economic conditions and psychological perception factors of apple growers and formulate targeted adaptation strategies.
Read Reference Calibration and Tracking for Non-Volatile Flash Memories

The performance and reliability of nonvolatile NAND flash memories deteriorate as the number of program/erase cycles grows. The reliability also suffers from cell-to-cell interference, long data retention time, and read disturb. These processes effect the read threshold voltages. The aging of the cells causes voltage shifts which lead to high bit error rates (BER) with fixed predefined read thresholds. This work proposes two methods that aim on minimizing the BER by adjusting the read thresholds. Both methods utilize the number of errors detected in the codeword of an error correction code. It is demonstrated that the observed number of errors is a good measure for the voltage shifts and is utilized for the initial calibration of the read thresholds. The second approach is a gradual channel estimation method that utilizes the asymmetrical error probabilities for the one-to-zero and zero-to-one errors that are caused by threshold calibration errors. Both methods are investigated utilizing the mutual information between the optimal read voltage and the measured error values. Numerical results obtained from flash measurements show that these methods reduce the BER of NAND flash memories significantly.
Design of a Digital Game Intervention to Promote Socio-Emotional Skills and Prosocial Behavior in Children

In emergency contexts such as the COVID-19 pandemic, mental health risk factors affect children and may affect behavioral and emotional problems including anxiety, self-blame, emotional disturbance, and stress. Preventive measures are crucial to address these health risks. Research highlights strength-based factors, such as socio-emotional skills and prosocial behaviors, as important for childhood development and socio-emotional wellbeing. Yet, the initial evidence base shows mixed effectiveness and insufficient behavior change theory application into socio-emotional and prosocial digital game interventions. Additionally, few interventions are designed with a clear process to convert theory into practical game solutions and very limited guidance on the digital game development process exists. This study describes the Intervention Mapping Protocol (IMP) and theory application in the design of a digital game intervention which aims to strengthen social-emotional skills development and promote prosocial behavior in 8–11-year-old children. The method systematically describes the steps of the IMP process in detail to guide future theory-based game design. The results explain the final digital game prototype that was co-designed with continuous input and insights provided by stakeholders and feedback from children. This paper contributes to our understanding of theory application in the design of digital game interventions focused on health and behavior change and provides much needed guidance on how theory and stakeholder input can be incorporated into a final game design.
EDHA: Event-Driven High Accurate Simulator for Spike Neural Networks

In recent years, spiking neural networks (SNNs) have attracted increasingly more researchers to study by virtue of its bio-interpretability and low-power computing. The SNN simulator is an essential tool to accomplish image classification, recognition, speech recognition, and other tasks using SNN. However, most of the existing simulators for spike neural networks are clock-driven, which has two main problems. First, the calculation result is affected by time slice, which obviously shows that when the calculation accuracy is low, the calculation speed is fast, but when the calculation accuracy is high, the calculation speed is unacceptable. The other is the failure of lateral inhibition, which severely affects SNN learning. In order to solve these problems, an event-driven high accurate simulator named EDHA (Event-Driven High Accuracy) for spike neural networks is proposed in this paper. EDHA takes full advantage of the event-driven characteristics of SNN and only calculates when a spike is generated, which is independent of the time slice. Compared with previous SNN simulators, EDHA is completely event-driven, which reduces a large amount of calculations and achieves higher computational accuracy. The calculation speed of EDHA in the MNIST classification task is more than 10 times faster than that of mainstream clock-driven simulators. By optimizing the spike encoding method, the former can even achieve more than 100 times faster than the latter. Due to the cross-platform characteristics of Java, EDHA can run on x86, amd64, ARM, and other platforms that support Java.
Apoio matricial de enfermagem como inovação no cuidado à pessoa com ferida

Objetivo: relatar a vivência profissional de enfermeiros na implantação do apoio matricial de enfermagem no cuidado à pessoa com ferida na Atenção Primária à Saúde. Método: relato de experiência acerca da implantação do Apoio Matricial como modelo de atendimento à pessoa com ferida no município de Florianópolis – entre junho de 2019 a junho de 2020. Resultados: a implantação trouxe como resultado a ampliação do acesso ao serviço de saúde e o fortalecimento do vínculo entre a equipe da Estratégia Saúde da Família e a pessoa com ferida e seus familiares. Além disso, propiciou a adequada avaliação das lesões, o cuidado compartilhado, o registro clínico das consultas, o monitoramento dos dados, e o devido faturamento dos curativos efetuados. Considerações finais: esse modelo de atendimento trouxe maior resolutividade da Atenção Primária à Saúde a partir da qualificação do atendimento, e melhor gerenciamento das informações em saúde. Este relato busca contribuir para evolução da ciência e estimular a replicabilidade do modelo em outras realidades.
Towards Tokenization and Part-of-Speech Tagging for Khmer: Data and Discussion

As a highly analytic language, Khmer has considerable ambiguities in tokenization and part-of-speech (POS) tagging processing. This topic is investigated in this study. Specifically, a 20,000-sentence Khmer corpus with manual tokenization and POS-tagging annotation is released after a series of work over the last 4 years. This is the largest morphologically annotated Khmer dataset as of 2020, when this article was prepared. Based on the annotated data, experiments were conducted to establish a comprehensive benchmark on the automatic processing of tokenization and POS-tagging for Khmer. Specifically, a support vector machine, a conditional random field (CRF), a long short-term memory (LSTM)-based recurrent neural network, and an integrated LSTM-CRF model have been investigated and discussed. As a primary conclusion, processing at morpheme-level is satisfactory for the provided data. However, it is intrinsically difficult to identify further grammatical constituents of compounds or phrases because of the complex analytic features of the language. Syntactic annotation and automatic parsing for Khmer will be scheduled in the near future.
Estimation of Combining Ability and Heterosis for Wheat Yield and Its Components under Water Stress Conditions

DROUGHT is a worldwide problem which controls the crop productivity. Six Egyptian bread wheat varieties were crossed in a 6x6 half diallel in 2018/19 season. Parents and their fifteen F1 crosses were evaluated under normal irrigation (N), mid water stress (MS) and severe water stress (SS) during 2019/20 in three field experiments. Results showed that the analysis of variance were significant for all the studied traits. The highest mean values were recorded under all irrigation treatments as well as the combined analysis with the crosses P1x P2, P1 x P3, P1 x P5, P2 x P3, P3 x P5 and P5 x P6 for grain yield per plant. Mean squares for both general (GCA) and specific (SCA) combining ability estimates were highly significant for all studied traits. GCA/SCA ratio was greater than unity for most traits. The parental P1 exhibited positive and significant GCA effects for number of kernels per spike, grain yield per spike and grain yield per plant. The highest desirable SCA effects were obtained with the crosses P3 x P5 and P4 x P5 for grain yield per plant under stresses conditions. Positive significant heterosis were detected by the crosses P1 x P3, P2 x P3, P3 x P5, P4 x P5 and P5 x P6 for number of spikes per plant, number of kernels per spike, grain yield per spike, 1000-grain weight and grain yield per plant at N, MS, SS conditions and the combined data.