bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators
Authors: Sun Xuguang , Zhang Baoyuan , Dai Menglei , Gao Ruocheng , Jing Cuijiao , Ma Kai , Gu Shubo , Gu Limin , Zhen Wenchao , Gu Xiaohe 
Published: July 2024

BackgroundAccurate estimation of reference crop evapotranspiration (ET0) is crucial for farmland hydrology, crop water requirements, and precision irrigation decisions. The Penman-Monteith (PM) model has high accuracy in estimating ET0, but it requires many uncommon meteorological data inputs. Therefore, an ideal method is needed that minimizes the number of input data variables without compromising estimation accuracy. This study aims to analyze the performance of various methods for estimating ET0 in the absence of some meteorological indicators. The Penman-Monteith (PM) model, known for its high accuracy in ET0 estimation, served as the standard value under conditions of adequate meteorological indicators. Comparative analyses were conducted for the Priestley-Taylor (PT), Hargreaves (H-A), McCloud (M-C), and FAO-24 Radiation (F-R) models. The Bayesian estimation method was used to improve the ET estimation model. ResultsResults indicate that, compared to the PM model, the F-R model performed best with inadequate meteorological indicators. It demonstrates higher average correlation coefficients (R2) at daily, monthly, and 10-day scales: 0.841, 0.937, and 0.914, respectively. The corresponding root mean square errors (RMSE) are 1.745, 1.329, and 1.423, and mean absolute errors (MAE) are 1.340, 1.159, and 1.196, with Willmott's Index (WI) values of 0.843, 0.862, and 0.859. Following Bayesian correction, R2 values remained unchanged, but significant reductions in RMSE were observed, with average reductions of 15.81%, 29.51%, and 24.66% at daily, monthly, and 10-day scales, respectively. Likewise, MAE decreased significantly, with average reductions of 19.04%, 34.47%, and 28.52%, respectively, and WI showed improvement, with average increases of 5.49%, 8.48%, and 10.78%, respectively. ConclusionTherefore, the F-R model, enhanced by the Bayesian estimation method, significantly enhances the estimation accuracy of ET0 in the absence of some meteorological indicators.
An easy methodology for frost tolerance assessment in olive cultivars
Authors: Valverde Pedro , Lodolini Enrico Maria , Giorgi Veronica , Garcia-Lopez Maria Teresa , Neri Davide 
Published: July 2024

IntroductionOlive cultivation, like other evergreen fruit crops worldwide, is limited by the occurrence of frost episodes in different times of the year, mainly in winter or early spring. Some contradictory results are reported about cultivars’ response to frost, which depends on the physiological stage of the tissues (acclimated or not acclimated) when the cold or frost episode occurs. This work aimed to implement a user-friendly and reliable lab method for discerning frost tolerance.MethodsOur methodology considered both detached leaves and potted plantlets. The optimal temperature at which damage differentiated between cultivars was evaluated, as well as the time of exposure to cold and the recovery time for the correct evaluation of the symptoms. Furthermore, a comparative analysis of damage on both young and mature leaves was conducted. To validate the efficacy of the methodology, assessments were conducted on the cultivars ‘Arbequina’ (tolerant), ‘Picual’ (moderately tolerant), and ‘Frantoio’ (susceptible) under acclimated and non-acclimated conditions.Results and discussionThe results indicated that, when detached leaves were used for frost evaluation, a temperature of -10°C ± 1°C for 30 min and a recovery time at 26°C for 24–48 h after exposure to cold are enough to induce damages on the leaves and discriminate between cultivar susceptibility. Under these conditions, a precise assessment of symptoms can be made, facilitating the categorization of frost tolerance level in various olive cultivars. Notably, no significant differences were observed between young and mature leaves during the evaluation process. On the other hand, the critical temperature to assess damages on potted plantlets was determined to be -7°C ± 1°C. In addition, it was observed that acclimated plants exhibited fewer symptoms compared to non-acclimated ones, with ‘Frantoio’ being the most affected alongside ‘Picual’ and ‘Arbequina’.ConclusionThe implemented methodology will allow the assessment of frost tolerance in several olive cultivars within a short timeframe, and it is proven to be user-friendly and reliable.
The population of Veneto faced with technological consumption of music during the pandemic
Authors: De Moya Martínez María del Valle , Segura Tornero Alfredo , Casabon Cedric Marc Alain , Hernández Bravo José Antonio 
Published: July 2024

ObjectiveThis work is the result of one of the lines of research opened in the LabinTic group (UCLM) and a stay in the city of Padua, in the Italian Veneto area, in 2022. After observing the side effects in Italy as a result of COVID-19 and the Great Lockdown, we wanted to know in more depth some aspects related to how the people of Veneto used IT as an important weapon to fight against forced isolation and, if possible, compare this with other similar studies performed in Castilla-La Mancha.MethodTo achieve this objective, an ad hoc questionnaire was designed and validated through expert judgment. This questionnaire was administered to a random probabilistic sample by disseminating it through social media and email using the “snowball” method. A total of 338 people who comprised the population sample of the study (n = 338) were obtained. After analyzing the data through SPSS 28, using a mixed methodology considering qualitative and quantitative aspects, the great influence that IT had among the Italian population during the lockdown common aspects of their everyday lives and incorporating some acquired habits (listening to music, for example) into their usual life routines after the return to normality was determined among other features and assessments. In summary, the text highlights how the pandemic influenced music consumption, the popularity of different music genres, the role of social media, and the enduring importance of the music itself in people’s lives. It suggests that music remains a source of comfort and entertainment in challenging times.
Emotional regulation in the classroom: detection of multiple cases from systematic observation
Authors: Alarcón-Espinoza Marina , Samper Paula , Anguera M. Teresa 
Published: July 2024

IntroductionEmotional education is learned by living with others. This study analyzes how different actors participate in the classroom, influencing students’ emotional regulation.MethodsUsing a mixed methods approach [structured in macro-stages QUAL-QUAN-QUAL], 9 classes in three Chilean schools with children aged 10 to 12 are systematically observed. The audio-recorded sessions are transcribed (qualitative data) for coding from the observation instrument, and then, once the data quality is verified, they are analyzed quantitatively (quantitizing). A lag sequential analysis is performed to detect regularities and existing sequences, and a polar coordinate analysis is performed to observe the relationships among the categories in each class.ResultsOnce the results of the analyses have been obtained, similarities are sought to detect the presence of multiple cases based on the two analysis techniques. The multiple cases detected are presented, detailing how interactions between teachers and students contribute to the emotional regulation and climate in the daily life of the classroom.DiscussionThe interpretation of the results makes it possible to revisit the qualitative aspect of the mixed methods and to discuss the need to problematize the role of teachers in students’ development and autonomy.
The significance of connectedness: avoidant personality disorder patients’ subjective experiences of change after attending a specialized treatment program
Authors: Dahl Kristine , Bremer Kjetil , Wilberg Theresa 
Published: July 2024

ObjectivesThis study aimed to inquire into the subjective experiences and meaning-making of change of people diagnosed with avoidant personality disorder (AvPD) after attending a treatment program developed for AvPD.MethodsEighteen AvPD patients were interviewed 1 year after completing their treatment using a semi-structured interview guide. The interviews were analyzed through reflexive thematic analysis.ResultsThree main themes were found to capture the various subjective experiences of change. The first main theme “being more alive” included the subthemes “talking and listening together” and “opening up and grounding into myself.” The second main theme was “still longing for more,” and the third main theme “I cannot even manage therapy” included the subthemes “as if we were together” and “capitulation.”ConclusionAlthough these findings may not be specific to AvPD, they shed light on the importance of attending to the dynamic interplay of intersubjectivity, social motivations, and agency in a therapeutic context. Discovering a sense of agency within an interpersonal context in which the patient feels connected may lead to them opening up for development in accordance with their social motivational intentions.
Association between stress types and adolescent suicides: findings from the Korea Youth Risk Behavior Survey
Authors: Kim Soo Young , Park Yu Shin , Joo Hye Jin , Park Eun-Cheol 
Published: July 2024

ObjectiveThis study aims to explore the association between types of stress and suicidal behaviors—ideation and attempts—among Korean adolescents in two distinct years: 2015 and 2020.MethodsData were acquired from the Korea Youth Risk Behavior Web-based Survey conducted in 2015 and 2020. Participants’ desire for suicide was evaluated by asking questions about suicidal ideation and attempts, during the past year. Types of stress were divided into five categories: none, home, school, academic achievement, and appearance. Multiple logistic regression was used to investigate the association between variables of interest and dependent variables.ResultsAmong the 77,363 adolescents included in this study, 8.8% male and 13.2% female participants had seriously thought about committing suicide, and the rate of male and female participants who tried committing suicide was 1.6% and 2.5%, respectively. While every type of stress was highly associated with suicidal ideation, family and home types of stress had the highest odds ratio (OR), that was statistically significant for both sexes (Male: OR 3.81, 95% Confidence Interval [CI] 2.81 to 5.15; Female: OR 3.64, 95% CI 2.42 to 5.50). Moreover, the OR increased in order of: appearance; academic achievement; school and friends; and family and home, compared to the group that perceived no stress. Suicidal attempts were statistically significant and higher in likelihood, only amongst the female group that experienced stress from family and home (OR 2.48, 95% CI 1.08 to 5.67). In comparison to year 2015, suicidal ideation and attempts decreased in year 2020, but participants experiencing stress from family and home had a higher tendency of attempting suicide, though not statistically significant, regardless of their sex (Male: OR 1.03, 95% CI 0.74 to 1.44; Female: OR 1.06, 95% CI 0.81 to 1.4).ConclusionAdolescents who experience stress from family and home, or school and friends, are more likely to think about suicide, or carry it out, as compared to those having different causes of stress.
Investigating social media addiction and impact of social media addiction, loneliness, depression, life satisfaction and problem-solving skills on academic self-efficacy and academic success among university students
Authors: Aslan Imran , Polat Hatice 
Published: July 2024

IntroductionThe negative effects of post-COVID-19 restrictions have been detected in students’ mental well-being due to internet addiction, changing habits, despair and uncertainty. Students’ academic success is expected to be affected by social media addiction, loneliness, depression, life satisfaction, problem solving skills and academic self-efficacy factors. This study aimed to determine the level of social media addiction and the effects of these factors on the academic success of university students and define their interactions with each other.MethodsFour hundred nineteen questionnaires were collected between October–December 2022 at Bingöl University, Türkiye. Descriptive statistics, independent t-test, One-Way ANOVA, correlation and multiple linear regression methods were used to analyze data with the help of the SPSS 22 software.ResultsMiddle level grade (GPA) average (71,17 ± 9,69 out of 100), low level social support from friends and family members (34,6%), spending more than 4 h on social media (42,5%), middle level social media addiction, moderate depression level (51,31%-PHQ &gt; 10), mild loneliness and slight dissatisfaction with life were found among students. Furthermore, high academic self-efficacy, moderate agreement with academic performance and good problem-solving skills were indicated in the survey results. Significant differences, such as higher life satisfaction among males and higher depression among females, were measured. Academic self-efficacy scale, problem solving skills and satisfaction with life had a negative correlation with social media addiction and depression, while a positive correlation with academic performance measures. Problem solving skills, satisfaction with life, fourth class vs. others and living alone vs. others were positive predictors of the academic self-efficacy. Meanwhile, loneliness was a negative predictor of the academic self-efficacy, while higher problem-solving skills and being female were positive factors leading to a higher GPA.DiscussionThe fact that the participants were only students from Bingöl University limits the ability to generalize the results. Policymakers could implement social and problem-solving skills training to develop better academic programs and cognitive-behavioral therapy for students’ academic success.
Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study
Authors: Li Ang 
Published: July 2024

BackgroundImplementing machine learning prediction of negative attitudes towards suicide may improve health outcomes. However, in previous studies, varied forms of negative attitudes were not adequately considered, and developed models lacked rigorous external validation. By analyzing a large-scale social media dataset (Sina Weibo), this paper aims to fully cover varied forms of negative attitudes and develop a classification model for predicting negative attitudes as a whole, and then to externally validate its performance on population and individual levels.Methods938,866 Weibo posts with relevant keywords were downloaded, including 737,849 posts updated between 2009 and 2014 (2009–2014 dataset), and 201,017 posts updated between 2015 and 2020 (2015–2020 dataset). (1) For model development, based on 10,000 randomly selected posts from 2009 to 2014 dataset, a human-based content analysis was performed to manually determine labels of each post (non-negative or negative attitudes). Then, a computer-based content analysis was conducted to automatically extract psycholinguistic features from each of the same 10,000 posts. Finally, a classification model for predicting negative attitudes was developed on selected features. (2) For model validation, on the population level, the developed model was implemented on remaining 727,849 posts from 2009 to 2014 dataset, and was externally validated by comparing proportions of negative attitudes between predicted and human-coded results. Besides, on the individual level, similar analyses were performed on 300 randomly selected posts from 2015 to 2020 dataset, and the developed model was externally validated by comparing labels of each post between predicted and actual results.ResultsFor model development, the F1 and area under ROC curve (AUC) values reached 0.93 and 0.97. For model validation, on the population level, significant differences but very small effect sizes were observed for the whole sample (χ21 = 32.35, p &lt; 0.001; Cramer’s V = 0.007, p &lt; 0.001), men (χ21 = 9.48, p = 0.002; Cramer’s V = 0.005, p = 0.002), and women (χ21 = 25.34, p &lt; 0.001; Cramer’s V = 0.009, p &lt; 0.001). Besides, on the individual level, the F1 and AUC values reached 0.76 and 0.74.ConclusionThis study demonstrates the efficiency and necessity of machine learning prediction of negative attitudes as a whole, and confirms that external validation is essential before implementing prediction models into practice.
Age–period–cohort analysis of epidemiological trends in pelvic fracture in China from 1992 to 2021 and forecasts for 2046
Authors: Chen Qingsong , Li Tao , Ding Hong , Huang Guangbin , Du Dingyuan , Yang Jun 
Published: July 2024

BackgroundThis study explored the epidemiological trends in pelvic fracture (PF) in China from 1992 to 2021, analyze their relationships with age–period–cohort (APC) factors, and predict the trends of PF from 2022 to 2046.MethodsIncidence and years lived with disabilities (YLDs) of PF among sexes in China from 1992 to 2021 were obtained through the 2021 Global Burden of Disease (GBD) database. Trends in the incidence and YLDs were described, and a joinpoint regression model was used. The APC model was used to explore the effects of age, period, and cohort on the incidence and YLDs. Nordpred forecasted the incidence and YLDs in China from 2022 to 2046.ResultsIn 2021, there were an estimated 0.63 million incidence cases and 0.33 million of YLDs, respectively. The number and age-standardized rate (ASR) of incidence and YLDs were both gradually increased. The average annual percent change (AAPC) in incidence and YLDs for men were 0.26% and −0.17%, respectively. For women, the AAPC values for incidence and YLDs were −0.03% and −0.57% (p &lt; 0. 001), respectively. The relative risk (RR) of PF increases with age, with the lowest risk in those aged 10–14 years for incidence and aged 1–4 for YLDs and the highest risk in those aged &gt;95 years for incidence and aged 90–94 years for YLDs. The period effect showed a totally increase in the risk across the general, male, and female populations. Cohort effects indicated a totally significant decline for both incidence and YLDs. The predicted incidence and YLDs of PF in China from 2022 to 2046 showed an initial rise, followed by a decline, with 2029 and 2034 being the turning point for incidence and YLDs, respectively.ConclusionThe characteristics of pelvic fracture incidence and YLDs in China are complex. Thus, primary prevention measures must be strengthened. Raising awareness about osteoporosis prevention, enhancing public health education, and promoting good dietary and hygiene habits are appropriate preventive measures for PF in China.
Impact of health shocks on household consumption structure
Authors: Qiu Yinxin , Zhang Fen 
Published: July 2024

IntroductionIn the aftermath of the pandemic, the impact of health shocks on household expenditure patterns has become a critical area of focus due to the heightened uncertainty surrounding consumers’ expectations. Household medical expenditures have emerged as a key factor in the evolving consumption structure.MethodThis research developed a practical framework to assess the influence of health shocks on family spending patterns, focusing on health shortfalls. Health emergencies were measured through randomized medical spending. Data was sourced from the 2010-2018 Wave 5 Statistical Report of the China Family Panel Studies (CFPS), which included a total of 25,809 participants.ResultsThe findings revealed that health shocks significantly increased the proportion of household spending on medical expenses. Concurrently, sub-expenditures such as food and education were reduced to varying degrees as households adjusted their consumption patterns to mitigate the impact of health shocks. The effects of these shocks were more pronounced in low-income households and those with health insurance.DiscussionsThe government should take steps to promote public health, reduce the burden of medical expenses resulting from health shocks, and unlock the consumption potential. Additionally, efforts should be made to boost economic growth and systematically upgrade household consumption patterns to effectively cushion the impact of health shocks.
Methodologies of compatibility of paradigms of society: Philosophical, psychological, and system-technical foundations
Authors: Морозов В.А. 
Published: July 2024

Раскрыты философско-психологические основания методологии совместимости парадигм общества, которые ученые и исследователи могут рассматривать с разных точек зрения. Определены: составляющие философских и психологических оснований совместимости парадигм; специфика и особенности взглядов на совместимость парадигм; современная актуальность аспектов совместимости. Изложены системотехнические основания методологии совместимости парадигм с учетом влияния цифровизации общества и использования искусственного интеллекта. Выявлены принципы совместимости парадигм.
The philosophical and psychological foundations of the methodology of compatibility of paradigms of society are revealed, which can be considered from different points of view by scientists and researchers. The components of the philosophical and psychological foundations of compatibility of paradigms are determined; the specifics and peculiarities of views on compatibility of paradigms; the modern relevance of aspects of compatibility. The system-technical foundations of the methodology of paradigm compatibility are outlined, considering the impact of digitalization of society and the use of artificial intelligence. The principles of compatibility of paradigms are revealed.
Social contract as an effective measure of social support for families with children
Authors: Галкин А.И. , Кочетков Д.С. 
Published: July 2024

В контуре национальных целей развития социальный контракт как механизм повышения доходов малоимущего населения и снижения уровня бедности в стране выступает в качестве наиболее перспективного благодаря его направленности на реализацию трудового потенциала граждан. В статье рассмотрен опыт реализации механизма социального контракта в Липецкой области. Проанализированы региональные особенности социального контракта, а также определены возможные риски снижения результативности меры социальной поддержки. В заключение предложены меры по дальнейшему развитию процессов предоставления социального контракта семьям с детьми в рамках осуществления предпринимательской деятельности.
In the context of national development goals, the social contract, as a mechanism for increasing the incomes of the poor and reducing poverty in the country, acts as the most promising due to its focus on realizing the labor potential of citizens. The article considers the experience of implementing the mechanism of the social contract in the Lipetsk region. The regional features of the social contract are analyzed, and possible risks of reducing the effectiveness of social support measures are identified. In conclusion, measures are proposed to further develop the processes of providing a social contract to families with children in the framework of entrepreneurial activity.