Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent and Historical Solar Proton Events

A study of the solar proton event data between 1954 and 1986 indicates that the large fluence events at the Earth are usually associated with a sequence of solar activity and related geomagnetic storms. This association appears to be useful to infer the occurrence of major fluence proton events extending back to 1934, albeit in a non-homogeneous manner. We discuss the possibility of identifying major solar proton events prior to 1934, using geomagnetic records as a proxy.
NUCLEAR CONTOURS OF SPANISH ECHO QUESTIONS PRODUCED BY PROFICIENT CHINESE LEARNERS OF SPANISH: A DYNAMIC ANALYSIS

This study investigates Spanish nuclear contours produced by Chinese students and the influence of lexical stress position on these contours. In a Discourse Completion Task, 16 Chinese students and nine Spanish natives produced 450 Spanish yn-and wh-questions with various pragmatic functions (information seeking, clarification echo, and counter expectation echo). The nuclear words were stressed in initial, medial, or final positions. Dynamic analyses using Generalized Additive Mixed Models revealed that (a) clarification echo questions were the most challenging for Chinese students, who tended to produce a high boundary tone (H%) instead of the native pattern (L%), and (b) word-final stress was the least favorable position for producing L2 nuclear contours, especially for the clarification echo questions. These results provide direct evidence of cross-linguistic influence on prosody and support the L2 Intonation Learning Theory, emphasizing the importance of prosody in L2 teaching practice.
Journal of Applied Research on Children: Informing Policy for Journal of Applied Research on Children: Informing Policy for Children at Risk Children at Risk

Recommended Citation Larouche, Richard; Faulkner, Guy; and Tremblay, Mark S. (2013) "Correlates of Active School Transport Immediately Before and After the Transition from Primary to Secondary School: A Pilot-Study," Journal of Applied Research on Children: Informing Policy for Children at Risk: Vol. 4: Iss. 2, Article 4. DOI: https://doi.org/10.58464/2155-5834.1138 Available at: https://digitalcommons.library. tmc.edu/childrenatrisk/vol4/iss2/4
Amotivation in physical education teachers: an approach from their perceived pressures and vocation

The increasing personal discomfort experienced by teachers in their work has received a great deal of attention in the last decade. The pressures they perceive in their work environment, or their vocational interest have been pointed out as factors that could influence both their well-being and their teaching practice. Following self-determination theory, the aim of the present study was to verify the existence of profiles of Physical Education (PE) teachers according to their perceived pressures and their vocation, as well as to analyse the frustration of basic psychological needs and amotivation in these profiles. A
TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China’s landmass and surrounding areas (2000–2022)

Land surface temperature (LST) is a key variable within Earth’s climate system and a necessary input parameter required by numerous land–atmosphere models. It can be directly retrieved from satellite thermal infrared (TIR) observations, which contain many invalid pixels mainly caused by cloud contamination. To investigate the spatial and temporal variations in LST in China, long-term, high-quality, and spatiotemporally continuous LST datasets (i.e., all-weather LST) are urgently needed. Fusing satellite TIR LST and reanalysis datasets is a viable route to obtain long time-series all-weather LSTs. Among satellite TIR LSTs, the MODIS LST is the most commonly used, and a few corresponding all-weather LST products have been reported recently. However, the publicly reported all-weather LSTs were not available during the temporal gaps of MODIS between 2000 and 2002. In this study, we generated a daily (four observations per day) 1 km all-weather LST dataset for China’s landmass and surrounding areas, the Thermal and Reanalysis Integrating
DNA Barcoding of Central European Gasteruptiidae and the rarely-collected families Evaniidae, Stephanidae, Trigonalidae, and Aulacidae (Hymenoptera, Apocrita)

﻿Abstract The study presents DNA barcoding results of five families of Hymenoptera in Germany. DNA barcodes are provided for 24 of the 25 species of Gasteruption occurring in Central Europe, including 18 of the 19 species recorded from Germany. The genetic diversity was higher than expected, with five species exhibiting two or more Barcode Index Number (BINs), whereas BIN sharing occurred in four species. Gasteruptionfoveiceps Semenov, 1892, stat. nov. is removed from synonymy with G.nigrescens Schletterer, 1885 and treated as a distinct species.
The Interdisciplinary Journal of Problem-based Learning The Impact of the New Tech Network Design on Academic Outcomes

The impact of the New Tech Network (NTN) design on several academic measures was tested on ninth graders in four schools in one state located in the Southeastern United States. Research questions explored the extent to which achievement test scores, dual credits earned, and dropout rates differed between ninth grade students in high fidelity NTN schools and similar students in traditional schools. A quasi-experimental design using student-level variables from the state’s PowerSchool database was conducted in order to test hypotheses related to the research questions. Results suggest that, when implemented with fidelity to the model, there was a significant effect of NTN on achievement test scores as students in NTN schools scored higher on both the End of Course (EOC) Math and English Language Arts (ELA) tests compared to students in control schools. This effect remained after controlling for poverty, race, and preexisting achievement level. Students in NTN schools also were slightly more likely to earn dual credit compared to similar students in control schools. However, there was no effect of NTN participation on dropout rate as students in NTN schools were more likely to be retained in their current grade level and not moving to the next grade level compared to students in control schools.
Effectiveness of

Mastitis is an inflammation of the mammary glands caused by pathogenic bacteria Mastitis divided into 2 types, clinical mastitis which has symptoms of swelling and changes in the shape of the mammary gland, while subclinical mastitis does not indicate clear symptoms. Subclinical mastitis is a very high case in Indonesia, around 97-98%, while clinical mastitis is 2-3%. Effectiveness of the california mastitis test (CMT), reductase test and alcohol test to detect subclinical mastitis in dairy cattle. The number of samples taken was 60 samples of fresh dairy milk from 15 cattles in Medowo Village as much as 50 ml for each sample. The results showed that the test was very effective in identifying subclinical mastitis in dairy cattle. 15% positive results were obtained for subclinical mastitis using CMT, 10% of the milk quality was not good during the reductase test and 18.33% positive with the alcohol test from a total of 60 samples obtained
Analysis-by-synthesis: phonetic-phonological variation in deep neural network-based text-to-speech synthesis

Text-to-speech synthesis based on deep neural networks can generate highly humanlike speech, which revitalizes the potential for analysis-by-synthesis in speech research. We propose that neural synthesis can provide evidence that a specific distinction in its transcription system represents a robust acoustic/phonetic distinction in the speech used to train the model. We synthesized utterances with allophones in incorrect contexts and analyzed the results phonetically. Our assumption was that if we gained control over the allophonic variation in this way, it would provide strong evidence that the variation is governed robustly by the phonological context used to create the transcriptions. Of three allophonic variations investigated, the first, which was believed to be quite robust, gave us robust control over the variation, while the other two, which are less categorical, did not afford us such control. These findings are consistent with our hypothesis and support the notion that neural TTS can be a valuable analysis-by-synthesis tool for speech research.
Chilean Students and Psychotherapists’ Beliefs And Prejudices Regarding Sexual and Gender Diversity

Background: Although LGBT+ people show high rates of utilization of mental health services, psychotherapeutic care seems to fail to meet their specific needs. This is mainly due to professionals’ lack of knowledge about the unique aspects of life development and mental health processes of LGBT+ people, as well as the inadvertent presence of prejudice and negative attitudes in psychotherapists. Aim: This study sought to establish the relationship between beliefs, level of experience, and competencies for working with LGBT people with the presence of prejudice in psychology students and psychotherapist practitioners. Method: 50 undergraduate students and 380 professional psychologists from Chile answered an online survey that was composed of scales that sought to assess prejudices, beliefs about homosexuality, bisexuality, and transsexuality and the development of clinical competencies. Results: Participants held more psychosocial beliefs about the origin of homosexuality and bisexuality when compared with transsexuality. Low positive correlations were observed between years of clinical practice and psychological beliefs, and low negative correlations between biological and psychological beliefs and level of clinical preparedness for working with LGBT people. Higher levels of beliefs about homosexuality, bisexuality, and transsexuality were associated with more prejudiced attitudes. Conclusions: This research provided evidence in favor of the relationship between prejudice and beliefs in both experienced clinicians and psychology students. It also showed that the higher the level of clinical competencies for working with patients of sexual and gender diversity, the lower the presence of prejudice
the Journal of the Hellenic

Working memory (WΜ) components are investigated as correlates of complex sentence comprehension (cSC) in children, under the consideration of WM as a cognitive system of limited capacity. The present study aims to investigate the relationship between WM components and cSC in children of typical language development (TLD) as well as in children with Developmental Language Disorder (DLD), by systematically reviewing relevant studies. First, different tasks that are used to assess three distinct WM components are presented and task purity considerations on each of them are taken into account. Second, syntactically complex sentence types that are considered to constrain the already limited resources of WM are presented. Then, the systematic methods of the PRISMA-P protocol are followed. Based on them, six databases were thoroughly searched. After an initial screening stage and a final evaluation stage, twenty-eight studies were found to meet the inclusion criteria. Narrative synthesis was performed on the included studies. In TLD children, results on the role of verbal short-term memory (vST) and verbal working memory (vWM) in cSC are inconclusive, either supporting or questioning the capacity-limit approach. In DLD children, verbal working memory (vWM) has an important effect on cSC, rather than verbal short-term memory (vSTM). This suggests that a processing-execution component is important in DLD children’s cSC. For both children groups, a component serving as an interface between vSTM/vWM and long-term memory (vSTM/vWM-LTM) seems to play an important role; however, it is greatly understudied. Based on the results, future research directions and educational implications are suggested.
Correlação entre condutividade elétrica aparente e atributos químicos e físicos de um Latossolo

portuguesA agricultura de precisao vem sendo utilizada como importante tecnica de manejo localizado da fertilidade do solo.Para tanto, e indispensavel a caracterizacao da variabilidade espacial dos atributos quimicos e fisicos do solo atraves de amostragem capaz de representar tais variacoes. O presente estudo teve por objetivo analisar a correlacao entre a condutividade eletrica aparente com os atributos quimicos e fisicos de um Latossolo Vermelho distroferrico. O trabalho foi realizado em uma propriedade localizada no cerrado brasileiro. Em uma area de 90 hectares foram coletados 181 amostras de solo georeferenciadas, na profundidade de 0,00 – 0,20 metros. Nos mesmos locais de retirada de amostras foram efetuadas leituras de condutividade eletrica aparente do solo. As amostras foram encaminhadas ao laboratorio para realizacao das analises fisica e quimica. Selecionou-se, aleatoriamente, 30 pontos amostrais e calculou-se o coeficiente de correlacao de Pearson entre as variaveis fisicas, quimicas e a condutividade eletrica aparente do solo. Nao foi observado correlacao significativa entre a condutividade eletrica aparente com os atributos fisicos do solo. Observou-se correlacao positiva e significativa da condutividade eletrica aparente do solo na profundidade de 0,20 m com os atributos quimicos fosforo, fosforo remanescente e zinco. EnglishPrecision agriculture has been used as an important technique for localized management of soil fertility. Therefore, it is essential to characterize the spatial variability of chemical and physical attributes of the soil by sampling can represent such variations. This study aimed to analyze the correlation between the apparent electrical conductivity with the chemical and physical attributes of an Rhodic Hapludox. The work was performed on a property located in the Brazilian Cerrado. In an area of 90 hectare were collected 181 georeferenced soil samples at depths from 0.00 to 0.20 meters. The same sites and removal of samples were made apparent electrical conductivity of the soil. The samples were sent to the laboratory to perform the physical and chemical analysis. Were selected randomly sampling 30 points and calculated the Pearson correlation coefficient between the variable physical, chemical and apparent soil electrical conductivity. There was no significant correlation between the apparent electrical conductivity with the soil physical attributes. There was a significant positive correlation of apparent electrical conductivity of the soil at a depth of 0.20 m with the chemical attributes match, remaining phosphorus and zinc.
THE ROLE OF CREAKY VOICE IN CANTONESE TONAL PRODUCTION

Cantonese is a tonal language in which its low tones are reported to be produced with creaky voice inconsistently. The presence of the allophonic creaky voice in Cantonese has driven two hypotheses regarding its source: it is (1) a specific cue for Tone 4 identification or (2) a covariate when producing a low F0 [1]. To test whether creaky voice is tone-specific, native speakers were asked to produce Cantonese lexical tones under normal condition and low-pitch condition. Results revealed a correlation between creaky voice and low F0, and between creaky voice and prosodic positions. When participants were asked to speak in a low-pitch condition, creak occurrence increased significantly for tones other than Tone 4. The results shows that the source of Cantonese creaky voice is likely to be triggered by low F0, and is less likely to be phonemically tied to Tone 4.
Cash Holding in Brazilian local governments

Research Objective : The research aimed to examine the cash retention determinants of Brazilian local governments. Theoretical framework : This work is based on the liquidity preference theory of finance. Methodology : this is an econometric research developed with economic and financial data from the years 2017 to 2021 of Brazilian municipalities, using the linear regression model with panel data, fixed effects. Results : The results showed that variations in personnel expenses and charges, imprecision in forecasting current revenues, dependence on revenues and population are determinants of cash holding in Brazilian local governments. Originality : The results fill an existing gap in the public finance literature on what would be the cash retention determinants of Brazilian local governments. Theoretical and practical contributions : The results contribute to a discussion on cash retention policies in governments of emerging countries and contribute to the literature that discusses the flypaper effect, given that the effect can occur in years following the inflow of revenue, not addressed by the literature. Finally, the research presents the inaccuracy of forecasting current revenues as a new determinant of cash holding in local governments.
GEOCHEMICAL CHARACTERISTICS OF THE SKRUGARD OIL DISCOVERY, BARENTS SEA, ARCTIC NORWAY: A “PALAEO‐BIODEGRADED – GAS REACTIVATED” HYDROCARBON ACCUMULATION

This paper investigates the filling history of the Skrugard and Havis structures of the Johan Castberg field in the Polheim Sub‐Platform and Bjørnøyrenna Fault Complex, Barents Sea (Arctic Norway). Oil and gas occurs in the Early Jurassic and Middle Jurassic Nordmela and Stø Formations at Johan Castberg, and both free oil and bitumen are interpreted to be sourced from the Upper Jurassic Hekkingen Formation (Kimmeridge Formation equivalent). The geochemical characteristics of the petroleum from Skrugard and Havis, including the GOR, API and facies and maturity signatures, can be understood within a complex fill history which includes a palaeo oil charge, Tertiary uplift (>2 km), dismigration, in‐reservoir biodegradation, and late‐stage refill with gas.
Prediction of colorectal cancer risk among adults in a lower middle-income country.

Background Globally, colorectal cancer (CRC) is ranked as the third most common cancer in men and the second in women. Use of a simple, validated risk prediction tool will offer a low-cost mechanism to identify the high-risk individuals for CRC. This will increase efficient use of limited resources and early identification of patients. The aim of our study was to develop and validate a risk prediction model for developing CRC for Sri Lankan adults. Methods The risk predictors were based on the risk factors identified through a logistic regression model along with expert opinion. A case control design utilizing 65 CRC new cases and 65 hospital controls aged 30 years or more was used to assess the criterion validity and reliability of the model. The information was obtained using an interviewer administered questionnaire based on the risk prediction model. Results The developed model consisted of eight predictors with an area under the curve (AUC) of 0.849 (95% CI: 0.8 to 0.9, P<0.001). It has a sensitivity of 76.9%, specificity of 83.1%, positive predictive value (PPV) of 82.0%, negative predictive value (NPV) of 79.3%. Positive and negative likelihood ratios are 4.6 and 0.3. Test re-test reliability revealed a Kappa coefficient of 0.88. Conclusions The model developed to predict the risk of CRC among adults aged 30 years and above was proven to be valid and reliable and it is an effective tool to be used as the first step to identify the high-risk population who should be referred for colonoscopy examination.
A case report and clinical experience of robot-assisted oblique lateral lateral lumbar interbody fusion for the treatment of lumbar spondylolisthesis

Objective: To investigate the clinical efficacy of orthopedic robot-assisted oblique lateral aspect lumbar interbody fusion (OLIF) for the treatment of lumbar spondylolisthesis.Method: Orthopedic robot-assisted oblique lateral lumbar interbody fusion (OLIF) was performed to treat one patient with lumbar spondylolisthesis, and the visual analog scale (VAS) and Oswestry disability index (ODI) were compared to assess the symptomatic improvement of the patient in the preoperative and postoperative period of 3d.Result: The patient completed the OLIF surgical treatment, the operation time was about 190 min, intraoperative bleeding was about 80 ml, postoperative 3d review X-ray and MRI showed that the slipped vertebral body was ideally repositioned, the fusion device and pedicle screw were well-positioned, and the perioperative VAS score for low back pain was 8 in the 1d preoperative period, and the VAS score for low back pain was 2 in the 3d postoperative period, and the preoperative ODI score was 66% in the 1d preoperative period, and the postoperative ODI score was 25% in the 3d postoperative period.Conclusion: Robot-assisted oblique lateral lumbar interbody fusion for the treatment of lumbar spondylolisthesis is safe, minimally invasive, and effective, and can be used as a minimally invasive surgical method for lumbar spondylolisthesis.
A Method for Table Tennis Bat Trajectories Reconstruction with the Fusion of Human Keypoint Information

Tracing and restoring the bat trajectory from a table tennis match video plays a critical role in table tennis technique and tactics. However, directly detecting the bat location in each frame is challenging, because the bat shapes are changed be-cause of various movement speeds, and can sometimes be am-biguous. In addition, there are rare bat-related datasets. In this paper, we propose a novel method that decomposes the prob-lem into two stages. In the first stage, we employ YOLOv5 for bat detection in each frame, and filter out erroneous candidate boxes. In the second stage, we classify all frames into two cat-egories. For frames corresponding to forward swing motions, we utilize a temporal prediction model that integrates human body keypoints and confidence scores to fill missing values. For other frames, missing values are completed using inter-polation methods. By combining these two results, we obtain a complete tennis bat trajectory with reduced errors in trajec-tory reconstruction. To evaluate the effectiveness of the pro-posed method, we build a video dataset that with labeled bat locations in each frame. The evaluation results demonstrate that the proposed method outperforms traditional methods on precision performance metric.
Systematic Literature Review of Rainforest Surveillance

The significance of the ecosystems in preserving biodiversity and ecological balance makes intrusion detection inrainforests an essential subject of research. Yet, due to their dense and intricate vegetation and the size of the region to be watched, rainforests present a difficult detection problem for both human and animal invasions. Researchers have recently looked into a number of methodologies and methods for detecting intrusions in rainforests. This article offers a thorough analysis of the literature on intrusion detection in rainforests, with a focus on the many approaches and strategies utilized for observing, following, and analyzing animal behavior, as well as the difficulties and restrictions of each strategy. The review also proposes areas for future research and points out gaps in the material currently available.
Comparing the Performance of Classification Algorithms for Melanoma Skin Cancer

Computer vision plays a beautiful role in the early identification of Melanoma skin cancer. Images are used to classify malignant and benign phenotypes. Also, Dermatologists claim that Melanoma may be diagnosed and cured if it is identified in the early stage. However, selecting an appropriate classification algorithm is essential in early and accurate melanoma detection.Therefore, inspired and motivated by our previous study outcome, we know that early detection and prediction of melanoma skin cancer may be cured (malignant and benign images are classified using CNN, RNN, and XG-Boost methods) [10, 11, 22, 23, 24, 25]. In this experiment, we compared the performance of supervised learning methods like Linear Regression, Light Gradient Boosting Regression, Random Forest Regression, Logistic Regression, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) Classifier, Decision Tree, Passive Aggressive, Multinomial Naïve Bayes, and Bernoulli Naïve Bayes. Moreover, a better and more accurate performing algorithm is used in early melanoma skin cancer detection.