bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical site preparation severity mediates one-year-survival response to summer drought in planted tree seedlings
Authors: Collet Catherine , Agro Chloé , Akroume Emila , Bello Jordan , Berthelot Alain , Boulanger Vincent , Calas Aurore , Dumas Noé , Pitaud Jonathan , Puyal Malaurie , Vast Florian 
Published: January 2024

Abstract
In face of future climatic conditions, methods to ensure the success of forest plantation in warm and dry conditions are required. Mechanical site preparation (MSP) prior to planting is widely used around the world to enhance seedling establishment success. Our study aimed at identifying, among a set of MSP methods that are used in practical forestry, which methods ensure plantation success under dry weather conditions. We evaluated the combined effects of summer drought (estimated using the Standard Precipitation Index) and MSP severity (estimated using vegetation cover in the immediate seedling vicinity one year after MSP) on 1-year seedling survival. We used a network of 20 experimental sites established in France over a 10-year-period, and where seedlings were planted after various MSP. In all treatments (severe MSP, moderate MSP, no MSP), seedling survival was higher in years with rainy summers than in years with dry summers. In rainy years, both moderate and severe MSP methods slightly improved the seedling survival rate (95%) compared to the unprepared control (88%). In dry years, seedling survival was similar after moderate MSP or with no MSP (50 and 54%, respectively), whereas it was much higher after severe MSP (79%). In practical forestry, severe MSP appears as an option to enhance early seedling survival, especially when summer precipitations are lower than the seasonal average, whereas moderate MSP does not significantly improve seedling survival compared to an unprepared control, in all summer weather conditions.
Usability Study of the Mommy-Be App: Exploring the Experience of Breastfeeding Mothers in Eastern Indonesia
Authors: Syam Azniah , Firawati Firawati , Dewi Indra 
Published: January 2024

Abstract
The rise of mobile health (mHealth) apps has brought attention to their potential in supporting breastfeeding mothers and preventing postpartum depression (PPD). This study aims to evaluate the usability of Mommy-Be, a mobile phone app designed to support breastfeeding women and help them to acknowledge of their mental health and breastfeeding efficacy during lactation period. This study combines quantitative and qualitative methods, that asses Mommy-Be app's usability among breastfeeding mothers using the Mobile Application Usability Questionnaire (MAUQ) and conducted in-depth interviews with a subset of participants. The study included 50 breastfeeding mothers in Makassar, Indonesia, who were primarily between the ages of 19 and 42 and had diverse educational and employment backgrounds. Four weeks after using the Mommy-Be app, revealed a generally positive impression of the application. Based on MAUQ three dimensions, ease of use, interface satisfaction, usefulness, this study has been determined that the utilization of a Mommy-Be application is both acceptable and feasible as a mobile health (mHealth) solution for breastfeeding mothers. The mothers experience revealed diverse user impressions of the Mommy-Be application. Participants generally found it easy to use, with a favorable interface preference. Participants expressed various benefits of using Mommy-Be, including increased awareness of breastfeeding activities, assistance in meeting nutritional needs, and early detection of postpartum depressive disorders. However, challenges were identified, such as the inability to export data, lack of module integration, and dependence on an active internet connection. To enhance the application's utility, participants suggested improvements, such as data export capabilities, better module integration, consideration of the target audience's resources regarding internet access and the inclusion of educational content, such as the provision of interconnection with multiple lactation counsellors.
Communication and relationships: how patients’ perceived informational and interactional justice can improve patient-centered care
Authors: Pérez-Arechaederra Diana , Briones Elena , García-Ortiz Luis 
Published: January 2024

Abstract
Background: After analyzing the three tenants of patient-centered care (i.e., communication, relationships and health promotion), we tested the role of patients’ perceived interactional and informational organizational justice in health service performance with respect to patients’ behaviors of adhering to professional advice and loyalty to the service. Literature shows that organizational variables as perceived organizational justice can influence patients’ behaviors. We have the ultimate goal of better understanding patients’ experiences with health care organizations, so health care service management can adjust to provide a better-quality patient-centered care considering patients’ inputs.
Methods: We conducted a cross-sectional study using two data samples from Spain and the U.S. The sample comprised 473 (male 59.2%) health care users from Spain and 450 (male 52.0%) from the U.S. over 18 years old. We measured the interactional and informational dimensions of perceived organizational justice, participants’ trust in the health care provider, their satisfaction with health care services, their adherence to professional advice and their loyalty to the service through a self-administered survey.
Results: Significant correlations were found in both samples for each justice dimension with both behaviors: adherence to advise (interactional, r=.15/.18, p<.01; informational, r=.19/.19, p<.01) and loyalty to the service (interactional, r=.45/.79, p<.01; informational, r=.45/.70, p<.01).
When we tested the model that included mediating patients' attitudes of trust and satisfaction, we found that the direct relationship between informational justice and adherence still held (standardized trajectory coefficient =.13, p <.01) showing their consolidated relationship. For interactional fairness, trust and satisfaction significantly mediated the relationship with adherence. On the other hand, the relationships between both justices and patient loyalty to the service were always partially mediated by patient trust and satisfaction (model fit for interactional justice perceptions RMSEA=.101, CFI=.959, GFI=.959; model fit for informational justice perceptions RMSEA=.136, CFI=.937, GFI=.946).
Conclusions: Patients’ perceptions of interactional and informational justice play an essential role in their adherence to professional advice, their loyalty to the service, and their ability to foster trust and satisfaction in health services. When discussing communication and relationships in patient-centered care, we should also consider fostering patients’ perceptions of fairness to improve health services results. Policies, programmes and procedures for patient-centered care should consider these patients’ perceptions.
Article classification: Empirical research paper
The Mediating Role of Academic Competence in the Relationship between Perceived Teaching Style and Academic Resilience among Adolescents
Authors: Afzali Leila , Hosseinian Simin 
Published: January 2024

Abstract

Background
This study investigated the mediating role of academic competence in the association between perceived teaching style and academic resilience among adolescents.
Methods
Using a cross-sectional design, the research focuses on high school students in Tehran, Iran, aiming to examine interplay between teaching styles, academic competence, and academic resilience. Data from 400 high school students were collected through convenience sampling, utilizing online questionnaires, including the Academic Resilience Inventory (ARI), Teacher as Social Context (TASC), and Academic Competence Evaluation Scale (ACES). The data underwent descriptive and inferential statistical analyses, encompassing mean, standard deviation, correlation matrix, and path analysis, using SPSS and LISREL 8.7 software.
Results
The findings demonstrate significant relationships between teaching styles, academic competence, and academic resilience. Specifically, path analysis reveals that teaching styles, particularly those emphasizing support and involvement, have direct and meaningful effects on academic competence, subsequently influencing academic resilience. The proposed model exhibits a good fit, as evidenced by various fit indices (p < .05).
Conclusion
This study carried implications for educational interventions and practices aimed at promoting positive academic outcomes and psychological well-being among adolescents. As such, educators and policymakers can leverage these insights to design effective strategies that nurture students' academic skills and emotional strength.
Vertebral bone attenuation on low-dose chest CT: bone mineral density assessment and osteoporosis screening
Authors: Ma hui-ya , Zhang Ren-jie , Wang Jia-qi , Zhang Bo , Shen Cai-Liang , Zhang Xiu-jun 
Published: January 2024

Abstract
Summary Osteoporosis is prevalent worldwide, increasing the risk of fragility fracture and mortality in the elderly. This study showed that low-dose chest CT (LDCT) can be fully utilized to measure the HU of thoracic vertebrae to assess bone mineral density (BMD), allowing osteoporosis screening while diagnosing the original disease.
Purpose This study aimed to determine whether the bone-attenuation value of the vertebral body measured by LDCT scan was correlated with BMD measured by dual-energy X-ray absorptiometry (DEXA), as well as to determine its value in BMD assessment and osteoporosis diagnosis.
Methods Healthy people who underwent LDCT scan and DEXA from January 2019 to March 2020 at the physical examination center of the First Affiliated Hospital of Anhui Medical University were selected. A total of 140 patients were included and randomly selected according to age and gender. They were divided into seven groups by 10-year age intervals from 20 to 90 years old, with each age group having 10 men and 10 women. Five vertebral bodies (T4, T6, T8, T10, and T12) were selected from chest CT to measure the bone-attenuation value (Hounsfield unit, HU) of the maximum ROI of the three sections of each vertebral body to obtain the vertebral body, as well as to analyze the correlation between the HU and the BMD measured by DEXA. The HUs of T12 in the normal, low bone mass, and osteoporosis groups were calculated by referring to WHO classification criteria for bone mineral density. Cutoff values and respective sensitivity and specificity for the diagnosis of osteoporosis and bone-mass reduction were determined by plotting ROC curves.
Results The mean HU of the thoracic spine measured by CT was 186.21±60.74 (58.45–318.44). T4, T6, T8, T10, and T12 had no statistically significant differences among the various segments, and all showed a linear downward trend with increased age. The mean HU of single or five thoracic vertebrae was significantly positively correlated with the bone mineral density and T-score of the lumbar spine, femoral neck, and total hip. According to the WHO classification criteria for bone mineral density, the mean HU of T12 in the normal, osteopenia and osteoporosis group were 216.45, 143.67 and 88.49 respectively. The HUs of the three groups were statistically different (p =0.000, t=53.000) When the mean HU of T12 was ≥158.08, it can distinguish between normal and low BMD, with a sensitivity of 87.2% and a specificity of 74.2%. When the mean HU of T12 was ≤123.30, it can distinguish between osteoporosis and non-osteoporosis, with a sensitivity of 83.7% and a specificity of 100%.
Conclusions The HU of the vertebral body measured by LDCT is closely related to the BMD measured by DEXA. It can be used to assess BMD and diagnose osteoporosis. Therefore, it is a potential supplementary method for BMD measurement.
Mapping the occasionality of inevitable dengue fever prevalence in China
Authors: Ren Hongyan , Xu Nankang , Lu Liang 
Published: January 2024

Abstract
Background
Dengue fever (DF) is an acute mosquito-borne viral infectious disease in the world, and increasing DF outbreaks in China have posed serious impacts on public health in recent years. Thus, comprehensively investigating spatiotemporal features and driving or restrictive factors of DF epidemics is critical for the improvement of intervention capacity against this disease.
Methods
Two famous dividing lines (Hu Line and Q-H Line) were applied to divide the mainland into four regions for geographically characterizing China’s DF prevalence. We defined the stages with suitable relative humidity, temperature, and precipitation as basic time windows for the mosquito vectors’ activities. The Random Forest (RF) model was employed to fit the relationships between local epidemics and included climatic and socioeconomic factors, quantify these factors’ contribution, and then map the city-level risk of local DF prevalence.
Results The situation of China’s DF epidemics was increasingly serious due to ascending intensities of local prevalence triggered by more frequently imported cases. The cities with DF cases, together with their frequencies and intensities presented clear geographical disparities on the city scale, and well matched with the time windows for either DF transmission (95.74%) or mosquito vectors’ activities (83.59%). Among these included factors, the imported cases acted as the driving factor of local epidemics in the region I and III because of not only their strongest association (r=0.43, P<0.01; r=0.46, P<0.01) but also the largest contribution (24.82% and 31.01%). Moreover, in terms of SHAP values, the imported DF cases possessed a steady promoting impact on local epidemics, while the rest 11 inputs had comprehensive promoting or inhibiting effects with different inflexion values. Besides, the RF models considering the time windows owned higher testing AUC value (0.92) while fitting the relationships between local DF epidemics and potential factors, by which we successfully identified about 96% of the cities with the highest and higher risks of local DF prevalence.
Conclusions China is being confronted with increasingly larger intensities of occasionally localized DF epidemics triggered by unavoidable higher frequencies of imported epidemics. This study would supply useful clues for the health authorities improving their intervention capacity against this disease.
Optimization of process parameters for the new process of deep hole machining by roll machining technology
Authors: Chunlei Tian , Cao Yan , Tian Chen , Tianlong Yuan 
Published: January 2024

Abstract
With the continuous improvement of science and technology, the precision requirements for deep-hole machining are constantly improving. At present, deep hole finishing still uses honing, grinding, and other grinding processes, low efficiency has been unable to meet the needs of the actual production, while rolling processing technology is a finishing technology with high precision and high efficiency. In this regard, for the problem of low efficiency of deep hole finishing, the rolling processing technology is applied to deep hole processing, replacing part of the grinding process, to improve the efficiency of deep hole finishing. First of all, the elastic-plastic mathematical model is constructed to determine the relationship expression between stress, strain, and displacement, and the mathematical model is applied to the finite element simulation software. Secondly, the specific values and trends of stress and strain are calculated through simulation, to predict the surface roughness, and the accuracy of the prediction is determined through experimental verification; finally, experiments are carried out based on the predicted results, and the results are analyzed and studied through the detailed measurement data, and the results show that the influences on the roughness of machined surface are in the order of the amount of overcapacity, the feed rate, and the rotational speed, and the trend of machining parameters influencing the machined surface roughness is schematically shown respectively. The trend of the machining parameters affecting the machining surface roughness is shown schematically, and the optimal machining process parameters are selected and applied to the finishing of the support shaft, which improves the finishing efficiency of the support shaft by 300%.
Mapping climate mitigation policy literature using machine learning: disparities between scientific attention, policy density, and emissions
Authors: Callaghan Max , Banisch Lucy , Doebbeling-Hildebrandt Niklas , Edmondson Duncan , Flachsland Christian , Lamb William , Levi Sebastian , Müller-Hansen Finn , Posada Eduardo , Vasudevan Shraddha , Minx Jan 
Published: January 2024

Abstract

Current climate mitigation policies are not sufficient to meet the Paris temperature target, and ramping up efforts will require rapid learning from the scientific literature on climate policies.
This literature is vast and widely dispersed, as well as hard to define and categorise, hampering systematic efforts to learn from it.
We use a machine learning pipeline using transformer-based language models to systematically map the relevant scientific literature on climate policies at scale and in real-time. Our ``living systematic map'' of climate policy research features a set of 84,990 papers, and classifies each of them by policy instrument type, sector, and geography.
We explore how the distribution of these papers varies across countries, and compare this to the distribution of emissions and enacted climate policies. Results suggests a potential stark under-representation of industry sector policies, as well as diverging attention between science and policy with respect to economic and regulatory instruments. Our living map of climate policy research is publicly available and may both usefully support upcoming climate change assessments such as those by the Intergovernmental Panel on Climate Change (IPCC) and serve as a useful resource for the climate policy research community.
Adaptation of a microbial consortium to pelagic Sargassum modifies its taxonomic and functional profile that improves biomethane potential
Authors: Salgado-Hernández Enrique , Ortiz-Ceballos Ángel Isauro , Alvarado-Lassman Alejandro , Martínez-Hernández Sergio , Dorantes-Acosta Ana Elena , Rosas-Mendoza Erik Samuel 
Published: January 2024

Abstract
In recent years, pelagic Sargassum has invaded the Caribbean coasts, and anaerobic digestion has been proposed as a sustainable management option. However, the complex composition of these macroalgae acts as a barrier to microbial degradation, thereby limiting methane production. Microbial adaptation has emerged as a promising strategy to improve substrate utilization and stress tolerance. This study aimed to investigate the adaptation of a microbial consortium to enhance methane production from the pelagic Sargassum. Microbial adaptation was carried out for 100 days by progressively feeding Sargassum. The evolution of the microbial community was analyzed by high-throughput sequencing of 16S rRNA amplicons. Additionally, 16S rRNA data were used to predict functional profiles using the iVikodak platform. The results showed that, after adaptation, the consortium was dominated by the bacterial phyla Bacteroidota, Firmicutes, and Atribacterota, as well as methanogens of the families Methanotrichaceae and Methanoregulaceae. The abundance of genes related to different metabolism-related functions decreased on day 60 when the Sargassum concentration increased. However, after 100 d, the functions increased again, enhancing methane production. The adapted consortium (AC) exhibited a biomethane potential of 160.03 ± 4.64 N-mL g− 1 VS and a biodegradability index of 39%, representing a 60% improvement. Additionally, the degradation kinetics and methane production of pelagic Sargassum were improved. The study concludes that microbial adaptation enhances the bioconversion of pelagic Sargassum into methane. It is also suggested that a microbial consortium should be generated to achieve greater efficiency in the bioconversion of Sargassum, along with other pretreatments.
Numerical and experimental analysis of defects control in cross wedge rolling for titanium alloy workpieces
Authors: SHI MingJie , Cheng Ming , Liu Jiaxu , Chen Shuaifeng , Zhang Shihong , Song Hongwu , Deng Quanshui , Vladimir Petrenko 
Published: January 2024

Abstract

Through the optimization of tool parameters and the wedge shape, titanium alloy workpieces with excellent surface and internal qualities were formed by flat cross wedge rolling (CWR) adopting tools without surface grooves. Firstly, the thermomechanical coupled model of CWR for TC11 (Ti-6.5Al-3.5Mo-1.5Zr-0.3Si) titanium alloy was established in the finite element (FE) software DEFORM-3D, and the effects of forming angle α, stretching angle β and section reduction Ψ were studied. The results showed that in the conventional empirical range of tool parameters, the defect-free workpiece is hard to be rolled by the typical tool structure. To optimize the forming quality of rolled workpieces, a modified tool structure was proposed by introducing an inclined plane with a width of λ (2–5 mm) on the top of the wedge shape and revising the side wedge plane α to a combination of two inclined planes α1 and α2 (α ≥ α1 > α2). Simulations and experiments demonstrated that the modified tools without surface grooves can achieve TC11 alloy workpieces with smooth surface. When the distance between the top and bottom tools is too large, the rolled workpiece axis is prone to being bent, and the gap from the top tool to the billet should be controlled in the range of 0-0.2 mm to ensure its straightness. Finally, the necking-free TC11 alloy rolled workpieces (Ψ = 67.9% and Ψ = 82.3%) with smooth surface and excellent internal quality were manufactured by IM500 flat CWR mill at 900°C, 500 mm/s.
Exclusive Breast-Feeding Practice and Associated Factors Among Mothers in Addis Ababa, Ethiopia.
Authors: Wujira Elsabeth , Shifraw Tigest , Berhane Yemane 
Published: January 2024

Abstract

Background: For infants to grow and survive, they need to be exclusively breastfed. However, the prevalence of exclusive breastfeeding is substantially lower than World Health Organization (WHO) recommendations in many low-income nations. Therefore, to provide the appropriate corrective remedies, it is essential to frequently evaluate the practice and its associated factors.
Methods and materials; Mothers were interviewed as part of a facility-based cross-sectional study. The study comprised 682 eligible mothers who brought their children for the Penta 3 vaccination. To investigate associations and generate an adjusted odd ratio (AOR) with a 95% confidence interval (CI), a multivariate logistic regression analysis was used.
Result: The proportion of mothers exclusively breastfeed their infants was 63.3% (95% confidence interval 60.0%-67.0%). The odds of exclusively breastfeeding their infants were higher among mothers whose husbands received education (AOR 1.704; 95% CI: 1.003-3.251), in those who received advice on exclusive breastfeeding during Antenatal care (AOR 2.764; 95% CI: 1.522-22 4.998), and in those who were counseled at postnatal visits (AOR 1.471; 95% CI: 1.036-2.089).
Conclusion: About two-thirds of the mothers practiced exclusive breastfeeding, which is lower than WHO’s recommendation of universal exclusive breastfeeding. Efforts to promote exclusive breastfeeding must be strengthened by providing support and counseling to the mothers during antenatal and postnatal care.