bluuebunny/crossref_metadata_2025 huggingface dataset:
Cost-effectiveness analysis of tislelizumab plus chemotherapy as the first-line treatment for advanced or metastatic esophageal squamous cell carcinoma in China
Authors: Liu Yanhong , Shao Rong
Published: May 2024

Introduction

First-line treatment with tislelizumab plus chemotherapy has shown clinical benefits for patients with advanced or metastatic esophageal squamous cell carcinoma (OSCC) in China, while its economic burden is unknown. This study aimed to evaluate the cost-effectiveness of tislelizumab plus chemotherapy from the perspective of the Chinese healthcare system.

Methods

We constructed a partitioned survival model to compare the cost-effectiveness of tislelizumab plus chemotherapy with chemotherapy in patients with advanced OSCC. Patient characteristics and clinical outcomes were extracted from RATIONALE-306. Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) were selected as the study outcomes. Sensitivity analysis and subgroup analysis were conducted to test the stability of the results.

Results

Tislelizumab plus chemotherapy provided additional 0.48 QALYs with the incremental cost of $16,587.2 than chemotherapy, of which ICER was $34,699.72 per QALY. When the willingness-to-pay threshold was set as $37,260, the novel therapy had a probability of 77% to be cost-effective. Our base-case analysis results were sensitive to utilities of progression-free survival and progression of disease. Our subgroup analysis showed that the novel therapy was associated with cost-effectiveness in patients with a high expression of PD-L1.

Conclusion

Tislelizumab plus chemotherapy was likely to be more cost-effective compared with chemotherapy in the first-line therapy of advanced OSCC from the perspective of the Chinese healthcare system. Our findings can provide clinicians and decision-makers with evidence of the cost-effectiveness of tislelizumab.
Interaction among participants in a collective intelligence experiment: an emotional approach
Authors: Orejudo Santos , Lozano-Blasco Raquel , Bautista Pablo , Aiger Montserrat
Published: May 2024

Introduction

The construct of collective intelligence assumes that groups have a better capacity than individuals to deal with complex, poorly defined problems. The digital domain allows us to analyze this premise under circumstances different from those in the physical environment: we can gather an elevated number of participants and generate a large quantity of data.

Methods

This study adopted an emotional perspective to analyze the interactions among 794 adolescents dealing with a sexting case on an online interaction platform designed to generate group answers resulting from a certain degree of achieved consensus.

Results

Our results show that emotional responses evolve over time in several phases of interaction. From the onset, the emotional dimension predicts how individual responses will evolve, particularly in the final consensus phase.

Discussion

Responses gradually become more emotionally complex; participants tend to identify themselves with the victim in the test case while increasingly rejecting the aggressors.
Watch the tone of your voice! An exploration of dehumanization of women by gender nonconformity based on tone of voice, occupation and appearance
Authors: Tanriverdi Veysi , Yurdagül Aydan , Tulum Ezgi Aze , Ozbilgin Mustafa F.
Published: May 2024

Dehumanization refers to the act of likening others to objects or animals. This, in turn, mitigates feelings of conscience, guilt, and moral obligation in the face of behaviors such as violence, mistreatment, or discrimination against the dehumanized individuals. The aim of this study is to determine the extent of which women with mismatching vocal tone, occupation and appearance to their gender expectations are dehumanized by others. To achieve this, we conducted a between-groups factorial design experiment. In the experiment, participants looked at the photo and listened to the voice of a target woman with either a gender congruent or incongruent vocal tone, occupation, or appearance. Participants indicated the extent to which human attributes were appropriate for this individual. The results revealed that the main effects of vocal tone and occupation were significant for both mechanistic and animalistic dehumanization. A target woman with a mismatched vocal tone and occupation was more dehumanized compared to those with a matched vocal tone and occupation. However, the interaction effect of vocal tone, occupation type, and appearance was found to be significant only for mechanistic dehumanization. Our study provides evidence to recent concerns that women may experience dehumanization due to their vocal tone and occupation.
How personality factors, coping with identity-stress, and parental rearing styles contribute to the expression of somatic complaints in emerging adults in seven countries
Authors: Seiffge-Krenke Inge , Sattel Heribert
Published: May 2024

Objective

Somatic complaints are frequently named by emerging adults in many countries, but psychological factors contributing to the high level of these often medically unexplained symptoms have received little attention. This study examines the influence of shared risk factors on somatic complaints in a culturally diverse sample.

Methods and measures

In a cross-cultural survey study of 2,113 emerging adults (mean age = 22.0 yrs.; SD = 2.04) from seven countries (France, Germany, Turkey, Greece, Peru, Pakistan, and Poland) personality variables, parental rearing styles, coping abilities as well as identity-related stress were assessed. In a second step we successively entered these variables in hierarchical linear mixed models, controlling for country and gender effects and their respective interaction, in order to determine their impact on the level of somatic complaints across countries.

Results

All these dimensions varied extensively between all countries, with females reporting higher levels of somatic complaints than men in several countries. Despite this variation, our findings demonstrate a general and stable influence of neuroticism, openness, parental rearing styles, coping abilities and identity-related stress on somatic complaints across countries.

Conclusion

Findings support the use of a general intervention model that includes appropriate coping strategies for emotion regulation, but also encourages support seeking for age-specific problems in dealing with identity stress during the transition to adulthood. In addition, this intervention model should be adjusted for a specific culture and gender.
Trajectories of activities of daily living according to dementia among middle-aged and older people in South Korea: a longitudinal study from 2006 to 2020 (14 years)
Authors: Chae Soo Eun
Published: May 2024

Introduction

The aging population in South Korea faces numerous health challenges, one of which is the decline in Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). This study aims to investigate the patterns of change in ADL and IADL among older adults and examines how these patterns vary between individuals with and without dementia.

Methods

We conducted an analysis of data collected from the Korea Longitudinal Study of Ageing (KLoSA) between 2006 and 2022. Our cohort consisted of individuals aged 45 and older with non-dementia conditions, including mild cognitive impairment (N=6042), and a smaller group with dementia (N=91). Using Latent Growth Curve Models, we explored the developmental trajectories of ADL and IADL among our sample.

Results

Our findings indicate a linear decline in both ADL and IADL scores as individuals age. The decline in IADL was more pronounced in the dementia group, suggesting a greater sensitivity to sociocultural factors within this domain. The data revealed that individuals with dementia had consistently lower ADL and IADL scores. Notably, the variance in scores within the dementia group increased with age, signifying a worsening in daily living performance and an increase in individual variation (F=226.630, p<.001).

Discussion

The results of this study underscore the impact of dementia on both the self-regulation function and the social and cultural aspects of daily living performance, particularly reflected in IADL scores. These findings point to the necessity for comprehensive care strategies that address the multifaceted needs of older adults with dementia, including support for complex daily activities that are influenced by sociocultural factors.
Effects of esketamine and fluoxetine on depression-like behaviors in chronic variable stress: a role of plasma inflammatory factors
Authors: Chen Haixia , Zhao Xinxin , Ma Xinxu , Ma Hongzhe , Zhou Cuihong , Zhang Yunyun , Peng Zhengwu , Xue Shanshan , Cai Min
Published: May 2024

Mounting evidence has identified the rapid and sustained antidepressive and anxiolytic-like effects of esketamine. However, the underlying mechanism of this no-monoamine target rapid-onset antidepressant is still underexplored. Immune-inflammatory pathways and cell-mediated immune activation, mainly including inflammatory cytokines in plasma, play a pivotal role in the pathogenesis of major depressive disorder and are also a potential therapeutic target for MDD. The current study was designed to clarify the role of esketamine on the expression of plasma cytokines in a depressive-like model introduced by chronic variable stress (CVS). In this study, a 21-day consecutive CVS protocol was applied to produce depressive- and anxiety-like behaviors. After the single dose or 7-day repeated administration of esketamine or fluoxetine, the depressive- and anxiety-like behaviors and the expression of inflammatory cytokines in plasma were examined. Both a single dose of esketamine and 7-days repeated fluoxetine administration elicited anti-depressive and anxiolytic effects in mice exposed to CVS. Additionally, CVS produced significant changes in the plasma inflammatory factors, notably increasing the expression of IL-1β, IL-6, IL-8, IL-17A, TNFα, IL-4, IL-9, IL-24, IL-37, IFN-β, and CXCL12, while reducing IL-10 and IL-33. With the administration of esketamine and fluoxetine, CVS-produced inflammatory disturbances were partially normalized. Together, our findings provide a novel insight that acute esketamine treatment could rescue CVS-produced depressive-like and anxiety-like behaviors in mice by normalizing the expression of inflammatory cytokines; this effect was similar to the repeated administration of fluoxetine. These results contributed to the understating of rapid anti-depressant effects elicited by esketamine.
Cell phone addiction and sleep disturbance among medical students in Jiangsu Province, China: the mediating role of psychological resilience and the moderating role of gender
Authors: Hu Bin , Wu Qi , Xie Yujia , Guo Liping , Yin Dehui
Published: May 2024

Background

Cell phone addiction presents a widespread and severe physical and mental health concern, now recognized as a global public health issue. Among medical college students, the issue of poor sleep quality has become particularly prevalent. This study aimed to investigate the relationship between cell phone addiction and sleep disturbance in a population of medical college students, exploring the potential mediating role of psychological resilience and the moderating impact of gender.

Methods

A random cluster sampling method was employed to survey 5,048 students from four medical colleges in Jiangsu Province, China, utilizing the Mobile Phone Addiction Index (MPAI), Connor-Davidson Resilience Scale (CD-RISC), and Pittsburgh Sleep Quality Index (PSQI) for data collection. Statistical analyses were conducted using SPSS 26.0 and the PROCESS macro version 4.1. To assess mediation, Model 4 of the PROCESS macro was utilized, while Model 15 was employed to investigate the moderating effect of gender.

Results

The results revealed a significant positive correlation between cell phone addiction and sleep disturbance, with psychological resilience found to partially mediate this relationship. Moreover, gender was observed to significantly moderate the impact of cell phone addiction on sleep disturbance. Specifically, bootstrap analysis indicated a significant interaction between cell phone addiction and gender (Coeff. = -0.0215, P< 0.001), with a stronger relationship found in males (simple slope = 0.0616, t = 16.66, P< 0.001) compared to females (simple slope = 0.0401, t = 9.51, P< 0.001).

Conclusion

Ultimately, psychological resilience was identified as a partial mediator between cell phone addiction and sleep disturbance in medical students from Jiangsu Province, with gender playing a significant moderating role in this association.
Mathematical modeling of SARS-CoV-2 variant substitutions in European countries: transmission dynamics and epidemiological insights
Authors: de Rioja Víctor López , Perramon-Malavez Aida , Alonso Sergio , Andrés Cristina , Antón Andrés , Bordoy Antoni E. , Càmara Jordi , Cardona Pere-Joan , Català Martí , López Daniel , Martí Sara , Martró Elisa , Saludes Verónica , Prats Clara , Alvarez-Lacalle Enrique
Published: May 2024

Background

Countries across Europe have faced similar evolutions of SARS-CoV-2 variants of concern, including the Alpha, Delta, and Omicron variants.

Materials and methods

We used data from GISAID and applied a robust, automated mathematical substitution model to study the dynamics of COVID-19 variants in Europe over a period of more than 2 years, from late 2020 to early 2023. This model identifies variant substitution patterns and distinguishes between residual and dominant behavior. We used weekly sequencing data from 19 European countries to estimate the increase in transmissibility (Δβ)  between consecutive SARS-CoV-2 variants. In addition, we focused on large countries with separate regional outbreaks and complex scenarios of multiple competing variants.

Results

Our model accurately reproduced the observed substitution patterns between the Alpha, Delta, and Omicron major variants. We estimated the daily variant prevalence and calculated Δβ between variants, revealing that: (i) Δβ increased progressively from the Alpha to the Omicron variant; (ii) Δβ showed a high degree of variability within Omicron variants; (iii) a higher Δβ was associated with a later emergence of the variant within a country; (iv) a higher degree of immunization of the population against previous variants was associated with a higher Δβ for the Delta variant; (v) larger countries exhibited smaller Δβ, suggesting regionally diverse outbreaks within the same country; and finally (vi) the model reliably captures the dynamics of competing variants, even in complex scenarios.

Conclusion

The use of mathematical models allows for precise and reliable estimation of daily cases of each variant. By quantifying Δβ, we have tracked the spread of the different variants across Europe, highlighting a robust increase in transmissibility trend from Alpha to Omicron. Additionally, we have shown that the geographical characteristics of a country, as well as the timing of new variant entrances, can explain some of the observed differences in variant substitution dynamics across countries.
Unveiling school community perceptions of nutrition-friendly school initiatives in preschool settings in rural Sindh province, Pakistan: an exploratory study
Authors: Samnani Amir Ali , Karmaliani Rozina , Nuruddin Rozina , Petrucka Pammla , Soofi Sajid Bashir
Published: May 2024

Introduction

In 1995, the World Health Organization launched its Global School Health Initiative to expand the Health Promoting School (HPS). The objective of this study was to explore the perception of the school community in implementing nutrition-friendly school initiatives in preschool settings.

Methods

This paper delineates the exploratory phase of a mixed-method study, which broadly aims to assess the adoption of the Nutrition Friendly School Initiative (NFSI) through a preschool preparedness intervention package in rural Sindh province, Pakistan. The study sites include three campuses of the Aga Khan School (Mirpur Sakro, Junior Campus Vur, and a community-based school in Sujawal). Participants were selected purposively from these campuses and constituted a committee named ‘school community,’ which was responsible for implementing all activities outlined in the intervention package. Data was gathered through in-depth interviews and consultative meeting with the school community. Thematic analysis was employed for data analysis.

Results

The analysis established five major themes that represent the participants’ perception of school-based nutrition interventions in preschool settings. These five themes include (i) Challenges in health and nutrition for pre-school age children, (ii) Clarity in roles and responsibilities for school-based nutrition intervention, (iii) Advancing school-based nutrition activities and interventions, (iv) Recognizing resources requirements, (v) Opportunities and challenges for the way forward in school-based nutrition. Findings also suggest sustainability and scalability measures that include the aligning School Nutrition Policy with the school handbook, ways to engage with parents, a nutrition theme corner, the inclusion of a parenting component in the nutrition manual, and capacity building of the school community.

Conclusion

Qualitative findings have guided the refinement of the intervention package, proposing additional measures for sustainability and scalability across AKES, P. The school community is hopeful that the implementation of the refined intervention package will enhance preschool preparedness toward achieving nutrition-friendly school checklist items. This study holds strong potential for replication in a public school setting and presents an opportunity to launch a school accreditation program to certify schools as Nutrition-friendly.
Mental health stigma: a conundrum for healthcare practitioners in conservative communities
Authors: Booth Wendy A. , Abuhmida Mabrouka , Anyanwu Felix
Published: May 2024

This paper presents perspectives on the stigma and shame around mental health in conservative communities, and some of the issues faced by health systems in those communities. The various causes of stigma are explored, and how these are often more pronounced in culturally reserved, conservative communities. While health systems are supposed to provide support for mental health sufferers, this stigma sometimes even extends to healthcare workers, which can discourage patients from asking for assistance. Solutions and reforms are needed, for example education programs; addressing gender norms, and the consideration of culture and religion, to form effective solutions. It is also suggested that alternative therapies and support mechanisms, including digital solutions such as artificial intelligence chatbots, may be useful to provide much needed support to individuals with poor mental health. Along with integrating options such as CBT (cognitive behavioral therapy), it may be useful to draw on indigenous psychologies, such as Islamic psychology, as a way of decolonizing approaches. Therefore, when considering solutions, cultural and religious norms must be considered to ensure their efficacy and acceptance.
Model prediction of radioactivity levels in the environment and food around the world’s first AP 1000 nuclear power unit
Authors: Wang Peng , Huang Wengzhe , Zou Hua , Lou Xiaoming , Ren Hong , Yu Shunfei , Guo Jiadi , Zhou Lei , Lai Zhongjun , Zhang Dongxia , Xuan Zhiqiang , Cao Yiyao
Published: May 2024

Objectives

Model prediction of radioactivity levels around nuclear facilities is a useful tool for assessing human health risks and environmental impacts. We aim to develop a model for forecasting radioactivity levels in the environment and food around the world’s first AP 1000 nuclear power unit.

Methods

In this work, we report a pilot study using time-series radioactivity monitoring data to establish Autoregressive Integrated Moving Average (ARIMA) models for predicting radioactivity levels. The models were screened by Bayesian Information Criterion (BIC), and the model accuracy was evaluated by mean absolute percentage error (MAPE).

Results

The optimal models, ARIMA (0, 0, 0) × (0, 1, 1)4, and ARIMA (4, 0, 1) were used to predict activity concentrations of 90Sr in food and cumulative ambient dose (CAD), respectively. From the first quarter (Q1) to the fourth quarter (Q4) of 2023, the predicted values of 90Sr in food and CAD were 0.067–0.77 Bq/kg, and 0.055–0.133 mSv, respectively. The model prediction results were in good agreement with the observation values, with MAPEs of 21.4 and 22.4%, respectively. From Q1 to Q4 of 2024, the predicted values of 90Sr in food and CAD were 0.067–0.77 Bq/kg and 0.067–0.129 mSv, respectively, which were comparable to values reported elsewhere.

Conclusion

The ARIMA models developed in this study showed good short-term predictability, and can be used for dynamic analysis and prediction of radioactivity levels in environment and food around Sanmen Nuclear Power Plant.
Effects of the interaction between cold spells and fine particulate matter on mortality risk in Xining: a case-crossover study at high altitude
Authors: Ning Zhenxu , He Shuzhen , Liu Qiansheng , Ma Haibin , Ma Chunguang , Wu Jing , Ma Yanjun , Zhang Youxia
Published: May 2024

Background

With global climate change, the health impacts of cold spells and air pollution caused by PM2.5 are increasingly aggravated, especially in high-altitude areas, which are particularly sensitive. Exploring their interactions is crucial for public health.

Methods

We collected time-series data on meteorology, air pollution, and various causes of death in Xining. This study employed a time-stratified case-crossover design and conditional logistic regression models to explore the association between cold spells, PM2.5 exposure, and various causes of death, and to assess their interaction. We quantitatively analyzed the interaction using the relative excess odds due to interaction (REOI), attributable proportion due to interaction (AP), and synergy index (S). Moreover, we conducted stratified analyses by average altitude, sex, age, and educational level to identify potential vulnerable groups.

Results

We found significant associations between cold spells, PM2.5, and various causes of death, with noticeable effects on respiratory disease mortality and COPD mortality. We identified significant synergistic effects (REOI>0, AP > 0, S > 1) between cold spells and PM2.5 on various causes of death, which generally weakened with a stricter definition of cold spells and longer duration. It was estimated that up to 9.56% of non-accidental deaths could be attributed to concurrent exposure to cold spells and high-level PM2.5. High-altitude areas, males, the older adults, and individuals with lower educational levels were more sensitive. The interaction mainly varied among age groups, indicating significant impacts and a synergistic action that increased mortality risk.

Conclusion

Our study found that in high-altitude areas, exposure to cold spells and PM2.5 significantly increased the mortality risk from specific diseases among the older adults, males, and those with lower educational levels, and there was an interaction between cold spells and PM2.5. The results underscore the importance of reducing these exposures to protect public health.
Demographics, psychiatric comorbidities, and hospital outcomes across eating disorder types in adolescents and youth: insights from US hospitals data
Authors: Jaka Sanobar , Pokhrel Sandesh , Patel Archna , Sejdiu Albulena , Taneja Sanjana , Vashist Sreshatha , Arisoyin Abimbola , Bachu Anil K. , Rajaram Manoharan Senthil Vel Rajan , Mogallapu Raja , Patel Rikinkumar S.
Published: May 2024

Objective

The aim of our study was to delineate the differences in demographics, comorbidities, and hospital outcomes by eating disorder types in adolescents and transitional-age youth (15–26 years), and measure the association with psychiatric comorbidities.

Methods

We conducted a cross-sectional study using the nationwide inpatient sample (2018–2019) and included 7,435 inpatients (age 12–24 years) with a primary diagnosis of eating disorders: anorexia nervosa (AN, 71.7%), bulimia nervosa (BN, 4.7%), avoidant/restrictive food intake disorder (ARFID, 9.5%), and other. We used independent logistic regression models controlled for demographics to evaluate the adjusted odds ratio association of comorbidities with eating disorder types.

Results

The mean age of BN inpatients was 17.5 years, which was significantly higher compared to the total number of inpatients with eating disorders (15.9 years). Approximately four-fifths of the inpatients with AN and BN were female patients whereas ARFID was seen in a higher proportion of male patients (32.6% vs. 13.7% overall). Anxiety (57.5%) and depressive (47.3%) disorders were prevalent in the total number of inpatients with eating disorders, with suicidal behaviors seen significantly higher in BN (25.7% vs. 12.9% overall). The likelihood of obsessive compulsive–related disorder was higher in all eating disorder types, i.e., AN (OR 2.14), BN (OR 1.79), and ARFID (OR 1.74); however, anxiety (OR 1.52) and neurodevelopmental (OR 1.70) disorders were significantly higher in ARFID. In terms of hospital outcomes, inpatients with ARFID had a longer mean length of stay (13.7 days vs. 8.4 days in BN) and higher mean total charges ($87,747 vs. $44,882 in BN).

Conclusion

Our findings identify notable demographic and clinical distinctions within inpatients diagnosed with AN, BN, and ARFID. Specifically, inpatients with BN belonging to older age brackets manifest elevated occurrences of depressive disorders and suicidal tendencies. ARFID is linked to prolonged hospitalization and increased costs, underscoring distinctive complexities in care. This highlights the significance of personalized interventions that account for demographic variations and psychiatric comorbidities, aiming to improve outcomes for diverse populations affected by eating disorders.
On sustainable land rent
Authors: Özdilek Ünsal
Published: May 2024

Introduction

This paper introduces the concept of Sustainable Land Rent (SLR), providing a comprehensive, multidimensional exploration anchored in the dynamics of its origin, separability, mobility, valuation, and the imperative for equitable distribution. SLR capitalizes on the economic mobility of land’s value to enhance community welfare and promote environmental sustainability. Advocating for the systematic institutionalization of SLR, the research tackles the complex challenge of distinguishing land value from improvements.

Methods

Employing traditional Price, Cost, and Income (PCI) methods as practiced in North America, the study addresses the technical challenge of inseparability by estimating and integrating the SLR value within each of these methods. The methodology clarifies the valuation process and establishes an objective framework for resource allocation and negotiation between public and private sectors.

Results and discussion

Furthermore, our findings highlight SLR’s vital role in advancing public revenue generation and underscore its function as an innovative catalyst for integrating sustainability into economic valuation models and practices in real estate development and urbanization.
Participatory design of a virtual reality life review therapy system for palliative care
Authors: Ng Royce , Woo Olive Kit Ling , Eckhoff Daniel , Zhu Mengyao , Lee Antoinette , Cassinelli Alvaro
Published: May 2024

We present a novel Virtual Reality (VR) life review therapy system. Life review therapy is an intervention used by clinical psychologists, counselors, and social workers for patients under palliative care to systematically examine various life experiences to resolve conflicts and complete life tasks. The goal of the therapy is to narrativize the patient’s life before death in order to come to terms with their mortality. Our VR life review therapy system allows therapists to perform their interventions in customized virtual spaces designed to encourage the patient to reflect and reminisce about their life experiences. Our system is also developed in response to mobility restrictions and COVID-19 pandemic-related quarantine measures that have separated patients under palliative care from family and friends, resulting in emotional and psychological distress. As VR systems related to health are increasingly being used by therapists in their interventions, it is of utmost importance that the health professionals who will be the end users of these systems are involved in the design process to create ethical healthcare technologies. In response, we initiated the participatory design and evaluation of our VR life review therapy system prototype with six clinical psychologists who have practical experience delivering life review therapy to patients in palliative care in the Hong Kong hospital system. In the study, each participant experienced the VR life review therapy system and evaluated its strengths and weaknesses through semi-structured interviews. The qualitative data gathered from these interviews was coded according to nine different categories; avatars, content design, evaluation, haptic sensations, interaction, gesturing and gaze direction, movement and navigation, non-verbal communication, soundtrack. These conceptual categories were chosen based on our analysis of common themes reported by the clinical psychologists’ experience of the system. Feedback from clinical psychologists on each of these categories was incorporated into the redesign and update of the final system. Overall, participants generally evaluated the system as feasible and effective for use with patients under palliative care, while movement and interaction were the features requiring the most improvement.
Investigating meteorological wet and dry transitions in the Dutch Meuse River basin
Authors: Hariharan Sudha Srividya , Ragno Elisa , Morales-Nápoles Oswaldo , Kok Matthijs
Published: May 2024

The Netherlands has traditionally focused on managing flood risk. However, the frequent occurrence of droughts in recent years has brought attention to managing both extremes. Transitions between these opposite extremes pose additional challenges to water management, requiring a trade-off between water storage during dry periods and flood control during wet periods. In this study, we develop a framework to define wet and dry meteorological events and study their transitions using timeseries of meteorological data namely, precipitation, temperature and potential evapotranspiration. The magnitudes of event characteristics are retained, which presents a different approach to the normalized climate indices (like the Standardized Precipitation Index) commonly used in literature. We apply this framework to the Dutch part of the Meuse River basin in northwestern Europe using climate observations between 1951 and 2022. Our analysis shows a statistically significant increase in the amount of water lost from potential evapotranspiration compared to water gained from precipitation between April and September of the water year and an increase in the length of this drying period over the past decades. Such trends in the drying period are related to variability in potential evapotranspiration caused by rising temperatures in the region, indicating the potential for increased water shortage in Spring and Summer due to future temperature increases. We also identify abrupt transitions between opposite extreme events where there is a lack of water at the end of the second event as meteorological situations that challenge water management due to overlapping impacts like flash flooding, less time for water storage, and reduced water availability. We see such conditions occur in 6% of the wet-dry transitions and 20% of the dry-wet transitions, highlighting meteorological scenarios to which the hydrological response of the catchment can be simulated to increase our understanding of the combined risk of floods and droughts.
Magnetopause location modeling using machine learning: inaccuracy due to solar wind parameter propagation
Authors: Aghabozorgi Nafchi M. , Němec F. , Pi G. , Němeček Z. , Šafránková J. , Grygorov K. , Šimůnek J. , Tsai T.-C.
Published: May 2024

An intrinsic limitation of empirical models of the magnetopause location is a predefined magnetopause shape and assumed functional dependences on relevant parameters. We overcome this limitation using a machine learning approach (artificial neural networks), allowing us to incorporate general, purely data-driven dependences. For the training and testing of the developed neural network model, a data set of about 15,000 magnetopause crossings identified in the THEMIS A-E, Magion 4, Geotail, and Interball-1 satellite data in the subsolar region is used. A cylindrical symmetry around the direction of the impinging solar wind is assumed, and solar wind dynamic pressure, interplanetary magnetic field magnitude, cone angle, clock angle, tilt angle, and corrected Dst index are considered as parameters. The effect of these parameters on the magnetopause location is revealed. The performance of the developed model is compared with other empirical magnetopause models. Finally, we demonstrate and discuss the inaccuracy of magnetopause models due to the inaccurate information about the impinging solar wind parameters based on measurements near the L1 point. This inaccuracy imposes a theoretical limit on the precision of magnetopause predictions, a limit that our model closely approaches.
Analysis of the impact of farm machinery outsourcing services on farmers’ cropping structure and grain production: an empirical evidence from Henan Province, China
Authors: Qiu Hailan , Feng Mingrui , Tang Wenyi , Luo Mingzhong , Wang Jiawei , Ye Feng
Published: May 2024

Introduction

The impact of farm machinery outsourcing services (FMOS) on grain production has been extensively studied in the literature. However, whether FMOS would adjust cropping structures and ensure food security is little known. To address this research gap, we analyzed the impact of FMOS on the cropping structure adjustment and grain production of farmers.

Methods

We estimate the impact of FMOS on grain production by using data collected from a survey of 3,863 wheat farmers in China. We employ the Extended Regression Model (ERM) to address selectivity bias.

Results and discussion

The empirical results show that FMOS can adjust the cropping structure and increase the proportion of household food cultivation. Among all segments of FMOS, fertilizer application services drive the increase in grain acreage more significantly. We also find that large-scale households prefer to self-purchase farm machinery rather than FMOS, leading to an insignificant impact of FMOS on cropping structure. Therefore, in the process of promoting the development of FMOS, we should focus on the coordinated development of various types of FMOS, strengthen the popularization and application of fertilization services, and formulate a differentiated subsidy policy for heterogeneous farmers in terms of scale to better play the role of agricultural machinery in promoting grain production.
Challenges of implementing a climate-smart agriculture-based curriculum in agricultural vocational schools: evidence from Iran
Authors: Jomegi Mehdi , Niknami Mehrdad , Sabouri Mohammad Sadegh , Bijani Masoud
Published: May 2024

The research aimed to identify the challenges of developing and implementing a climate-smart agriculture (CSA)-based curriculum in Iran’s agricultural vocational schools. It was exploratory descriptive-analytical in nature and applied in goal, in which data were collected with the library and deep interview method. The research methodology was based on grounded theory. The statistical population was composed of 16 researchers, authors, managers, and experts of the Office of Textbook Compilation of the Organization for Educational Research and Planning and the Research Center of Educational Studies. The participants were selected by the homogenous purposive sampling method. The interview with the target population continued until it reached theoretical saturation. Data were analyzed using the content analysis method. The data collected in the interviews were subjected to open, axial, and selective coding, which resulted in deriving 119 concepts and 28 categories. The results revealed a seven-dimension structure composed of the challenges related to determining educational goals, trainees, trainers’ professional process, teaching methods, curriculum content selection and organization, curriculum implementation, and curriculum appraisal. The results can help the experts in the Office of Textbook Compilation experts adopt smarter policies and solutions to solve the challenges of developing and implementing a CSA-based curriculum in agricultural vocational schools in Iran.
Determinants of survival and recurrence in patients with stage I colorectal cancer
Authors: Bananzadeh Alimohammad , Bahadori Mahshid , Mohammadianpanah Mohammad , Pakravan Faramarz , Shojaei-Zarghani Sara , Safarpour Ali Reza
Published: May 2024

Background

Due to the novel advanced screening methods, the number of patients diagnosed with stage I colorectal cancer (CRC) is increasing. This retrospective cohort study aimed to identify recurrence and survival risk factors of patients with stage I CRC after surgery.

Materials and methods

Patients with stage I CRC were evaluated, and their demographic and clinicopathologic variables were recorded. The log-rank test assessed the association of variables with overall survival (OS), recurrence-free survival (RFS), local recurrence, and distant metastasis.

Results

The median overall survival period was 51 months. The recurrence rate was 13.7%: 7.2% local and 9.3% distant recurrence. One-, two-, three-, and five-year RFS were 92%, 89%, 87%, and 83%, respectively, and OS were 96%, 93%, 90%, and 89%, respectively. Local and distant recurrence rates were higher in patients with higher tumor grades. Additionally, RFS and OS were worse in patients with higher tumor grades, and perforation was associated with worse OS.

Conclusions

The determinants of survival and recurrence identified in the present study can be used to improve patient outcomes by early diagnosis and appropriate management of high-risk patients.
Three-dimensional sonography has satisfied accuracy for detecting rotator cuff tears
Authors: Wang Xin , Zhang Wei , Dong Jinlei , Li Lianxin , Xiao Yuzhi , Liu Fanxiao
Published: May 2024

Background

Rotator cuff injuries and tears are common causes of shoulder pain and dysfunction, necessitating accurate diagnostic methods to guide clinical decision-making. This study evaluates the diagnostic utility of three-dimensional (3D) shoulder sonography in identifying rotator cuff injury and tear patterns.

Methods

A comprehensive search across seven electronic databases, which included Cochrane Library, Embase, PubMed, Cochrane Library, China Biology Medicine (CBM) database, CNKI, Wanfang, and VIP database. These databases were utilized to retrieve articles that assess the diagnostic value of 3D shoulder sonography for identifying rotator cuff injuries and tear patterns. The effectiveness of 3D shoulder sonography was assessed in terms of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). For each parameter, the 95% confidence intervals were calculated. Additionally, summary receiver operating characteristic curves (SROCs) were constructed, allowing for a comprehensive evaluation of diagnostic accuracy, which is reflected in the area under the SROC curve (AUC).

Results

Screening of 8,508 identified nine literatures eligible for inclusion in the meta-analysis, encompassing a total of 366 patients. The analysis of detecting any rotator cuff tear revealed a sensitivity of 0.97 and specificity of 0.87, yielding a DOR of 90.03 and an AUC of 0.98. Furthermore, 3D shoulder sonography demonstrated satisfactory accuracy in detecting both full and partial-thickness rotator cuff tears (Sensitivity: 0.92 vs. 0.83, specificity: 0.94 vs. 097, and AUC: 0.96 vs. 0.95).

Conclusion

This study indicates that three-dimensional sonography has satisfied accuracy for detecting rotator cuff tears.
Comparison of serum SDMA and creatinine as a biomarker for the detection of meloxicam-induced kidney injury in cats
Authors: Wun Matthew K. , Broughton-Neiswanger Liam E. , Villarino Nicolas F.
Published: May 2024

Introduction

Serum symmetric dimethylarginine (SDMA) and creatinine are commonly used biomarkers of renal function in cats. We hypothesize that the serum analytes creatinine and SDMA are equally effective at detecting impaired renal function caused by meloxicam-induced renal injury in cats. Our primary objective was to compare serum concentrations of SDMA and creatinine in cats before, during, and after induction of renal injury from repeated dosages of meloxicam in the context of a small pilot study.

Methods

This follow-up study results from data collected in a well-controlled study that included 12 healthy female adult purpose-bred cats. Cats in the treatment group received meloxicam 0.3 mg/kg subcutaneously (SC) every 24 h for 31 days. Cats in the control group received saline (0.1 mL SC). Renal injury was defined as the presence of tubular damage, basement membrane damage, and/or interstitial inflammation in histological sections of kidney tissue. Serum creatinine and SDMA concentration were measured every 4 days.

Results

In the control group, no cats developed renal azotemia. In the treatment group, four out of six cats developed elevated serum creatinine and histopathological evidence of renal injury. Three of these cats developed an elevation in serum SDMA. The time to the development of renal azotemia using serum creatinine or SDMA was not significantly different (p > 0.05).

Discussion

In this pilot study, there was no evidence that serum SDMA was superior to serum creatinine at detecting impaired renal function caused by meloxicam-induced renal injury in cats.
Enhancing Speaker Recognition Models with Noise-Resilient Feature Optimization Strategies
Authors: Chauhan Neha , Isshiki Tsuyoshi , Li Dongju
Published: May 2024

This paper delves into an in-depth exploration of speaker recognition methodologies, with a primary focus on three pivotal approaches: feature-level fusion, dimension reduction employing principal component analysis (PCA) and independent component analysis (ICA), and feature optimization through a genetic algorithm (GA) and the marine predator algorithm (MPA). This study conducts comprehensive experiments across diverse speech datasets characterized by varying noise levels and speaker counts. Impressively, the research yields exceptional results across different datasets and classifiers. For instance, on the TIMIT babble noise dataset (120 speakers), feature fusion achieves a remarkable speaker identification accuracy of 92.7%, while various feature optimization techniques combined with K nearest neighbor (KNN) and linear discriminant (LD) classifiers result in a speaker verification equal error rate (SV EER) of 0.7%. Notably, this study achieves a speaker identification accuracy of 93.5% and SV EER of 0.13% on the TIMIT babble noise dataset (630 speakers) using a KNN classifier with feature optimization. On the TIMIT white noise dataset (120 and 630 speakers), speaker identification accuracies of 93.3% and 83.5%, along with SV EER values of 0.58% and 0.13%, respectively, were attained utilizing PCA dimension reduction and feature optimization techniques (PCA-MPA) with KNN classifiers. Furthermore, on the voxceleb1 dataset, PCA-MPA feature optimization with KNN classifiers achieves a speaker identification accuracy of 95.2% and an SV EER of 1.8%. These findings underscore the significant enhancement in computational speed and speaker recognition performance facilitated by feature optimization strategies.
Expressway Vehicle Trajectory Prediction Based on Fusion Data of Trajectories and Maps from Vehicle Perspective
Authors: Duan Yuning , Jia Jingdong , Jin Yuhui , Zhang Haitian , Huang Jian
Published: May 2024

Research on vehicle trajectory prediction based on road monitoring video data often utilizes a global map as an input, disregarding the fact that drivers rely on the road structures observable from their own positions for path planning. This oversight reduces the accuracy of prediction. To address this, we propose the CVAE-VGAE model, a novel trajectory prediction approach. Initially, our method transforms global perspective map data into vehicle-centric map data, representing it through a graph structure. Subsequently, Variational Graph Auto-Encoders (VGAEs), an unsupervised learning framework tailored for graph-structured data, are employed to extract road environment features specific to each vehicle’s location from the map data. Finally, a prediction network based on the Conditional Variational Autoencoder (CVAE) structure is designed, which first predicts the driving endpoint and then fits the complete future trajectory. The proposed CVAE-VGAE model integrates a self-attention mechanism into its encoding and decoding modules to infer endpoint intent and incorporate road environment features for precise trajectory prediction. Through a series of ablation experiments, we demonstrate the efficacy of our method in enhancing vehicle trajectory prediction metrics. Furthermore, we compare our model with traditional and frontier approaches, highlighting significant improvements in prediction accuracy.
Reading Cisheteronormativity into the Art Historical Archives
Authors: Ringelberg Kirstin
Published: May 2024

Madeleine Lemaire (1845–1928) might appear to be a typical “woman artist” of the Belle Époque, a painter of images of fashionable women, equally popular for her watercolor flowers and her skills as a salon hostess, with biographical sketches of her then and now assuming that if she had sex or romance, it was with men. However, a closer look has also revealed Lemaire to be potentially atypical. Unlike her women colleagues, she exhibited salacious nudes; her work was once described as having “a bit of the mustache”; and she generally dodged discussions of either her gender or her sexuality, even though her social group included those who openly flaunted their own non-conformities. Using archival materials, artworks, and contemporary theory to unpack the possibilities presented by Lemaire’s case, I also explore the gains for art history in reconsidering previously female-identified and straight-seeming artists in more fluid gender and sexual terms. What might we discover if we recognize ourselves as the constructors of a cisheteronormative past, reading into the archives the assumptions that our current culture’s binary norms enforce?
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy
Authors: Parisot Olivier , Jaziri Mahmoud
Published: May 2024

Electronically Assisted Astronomy is a fascinating activity requiring suitable conditions and expertise to be fully appreciated. Complex equipment, light pollution around urban areas and lack of contextual information often prevents newcomers from making the most of their observations, restricting the field to a niche expert audience. With recent smart telescopes, amateur and professional astronomers can capture efficiently a large number of images. However, post-hoc verification is still necessary to check whether deep sky objects are visible in the produced images, depending on their magnitude and observation conditions. If this detection can be performed during data acquisition, it would be possible to configure the capture time more precisely. While state-of-the-art works are focused on detection techniques for large surveys produced by professional ground-based observatories, we propose in this paper several Deep Learning approaches to detect celestial targets in images captured with smart telescopes, with a F1-score between 0.4 and 0.62 on test data, and we experimented them during outreach sessions with public in Luxembourg Greater Region.