bluuebunny/crossref_metadata_2025_split huggingface dataset:
Picky eating in children: Current clinical trends, practices, and observations within the Australian health‐care context
Authors: Chilman Laine B. , Meredith Pamela J. , Kennedy‐Behr Ann , Campbell Gabrielle , Frakking Thuy , Swanepoel Libby , Verdonck Michèle 
Published: May 2023

AbstractBackground/aimChildhood picky eating occurs when there is limited intake or variety of food and/or unwillingness to try new foods. Within research settings, standardised assessments are used to describe picky eating behaviours in children. However, little is known about assessment practices of occupational therapists. Similarly, occupational therapy interventions for picky eating in the literature focus on; providing strategies for parents, and working with the child on self‐feeding skills. Despite this, interventions and strategies utilised by occupational therapists in clinical practice within an Australian health‐care context are unknown. This study examines Australian health professionals' observations of picky eating behaviours, the use of childhood picky eating assessments and interventions, and differences between occupational therapists and other professionals.MethodsHealth professionals (n = 179) were recruited through professional organisations, such as Occupational Therapy Australia. Participants completed an online survey between March and May 2021. Independent variables were reported using descriptive statistics, with logistic regression used to consider differences between occupational therapists and other health professionals. Conventional content analysis was used to analyse responses to open‐ended questions.ResultsThe final sample included 109 eligible participants, with an average of 8.5 years working with picky eaters. Results indicated picky eating behaviours aligned with those reported in the literature. Participants relied on clinical observations and workplace designed assessments. The most common interventions were education, coaching, and the sequential oral sensory approach to feeding. Occupational therapy participants were significantly more likely than other health professional participants to report always using coaching and education.ConclusionAlthough few health professionals used standardised or validated assessments, the use of education and coaching by occupational therapists aligned with the literature. Results highlight the need for more rigorous investigation to determine the sensitivity of current assessments to differentiate between clinical and typical picky eating, and the effectiveness of interventions for childhood picky eating.
How does metal soil pollution change the plant mycobiome?
Authors: Ważny Rafał , Jędrzejczyk Roman J. , Domka Agnieszka , Pliszko Artur , Kosowicz Weronika , Githae Dedan , Rozpądek Piotr 
Published: May 2023

AbstractMicroorganisms play a key role in plant adaptation to the environment. The aim of this study was to evaluate the effect of toxic metals present in the soil on the biodiversity of plant‐related, endophytic mycobiota. The mycobiome of plants and soil from a Zn–Pb heap and a metal‐free ruderal area were compared via Illumina sequencing of the ITS1 rDNA. The biodiversity of plants and fungi inhabiting mine dump substrate was lower than that of the metal free site. In the endosphere of Arabidopsis arenosa from the mine dump the number of endophytic fungal taxa was comparable to that in the reference population, but the community structure significantly differed. Agaricomycetes was the most notably limited class of fungi. The results of plant mycobiota evaluation from the field study were verified in terms of the role of toxic metals in plant endophytic fungi community assembly in a reconstruction experiment. The results presented in this study indicate that metal toxicity affects the structure of the plant mycobiota not by changing the pool of microorganisms available in the soil from which the fungal symbionts are recruited but most likely by altering plant and fungi behaviour and the organisms' preferences towards associating in symbiotic relationships.
Larvicidal effects of some natural products on the Aedes aegypti mosquito, a vector of dengue fever and Zika virus
Authors: Al Yahya Hanan , Shaher Fekri M. , Mahyoub Jazem A. 
Published: May 2023

AbstractNatural products are considered a good choice in the biological control of mosquitoes because they are an effective way to eliminate larvae and prevent an increase in mosquito numbers, while simultaneously not polluting the environment or damaging health. This investigation was designed to study the potential toxicity of three species of algae, Caulerpa racemosa (Weber‐van Bosse, 1909), Padina boryana (Thivy, 1966), and Turbinaria ornata (Turner J. Agardh, 1848), on the larvae of Aedes aegypti mosquito, the vector of dengue and Zika viruses. Among the studied species, Caulerpa racemosa showed the greatest effectiveness in eradicating A. aegypti larvae with an LC50 = 43.5 ppm, followed by Padina boryana with an LC50 = 51.93 ppm. Both species proved to be excellent candidates as a source of larvicidal agents and could be used commercially in mosquito control programs as eco‐friendly biopesticides. The combined activity of different mixtures against mosquito larvae was expressed as the coeffective factor (C.F.). C.F. values showed that the joint activity of insect growth regulator Dudim in combination with Caulerpa racemosa and Padina boryana extracts produced degrees of potentiation effects and degrees of additive effects were obtained with Dudim in combination with Turbinaria ornata extract.
Grading Evaluation and Ranking of CO2 Sequestration Capacity in Place (CSCIP) in China's Major Oil Basins: Theoretical, Effective, Practical and CCUS‐EOR
Authors: LI Yaohua , WANG Yang , SHI Yu , YANG Leilei , CUI Qiliang , BI Caiqin , XU Yinbo , WANG Qianyou , SHAN Yansheng , LIU Weibin , MIAO Miao , WANG Ting 
Published: May 2023

AbstractBecause it is necessary to focus on differences in regional oil reservoirs and determine the priority of the CCUS‐EOR (Carbon capture, utilization, and storage‐enhanced oil recovery) deployment under China's net‐zero CO2 emission target, systematic and regional evaluations of CO2 sequestration capacity in major oil basins are needed considering the geofluid properties—carbon sequestration capacity in place (CSCIP)—where the ‘in place’ indicates actual geological formation conditions underground, e.g., formation temperature and pressure. Therefore, physical properties of geofluids at different depths with different geologic temperatures and pressure conditions are considered for the CO2 sequestration capacity evaluation in place, including shallow (800–2000 m), medium (2000–3500 m), deep (3500–4500 m) and ultra‐deep (4500–8000 m) depth intervals. A modified evaluation model with four grading levels is proposed, combining the P‐V‐T equations of state (EOS) and evaluation equations of the Carbon Sequestration Leadership Forum (CSLF), including theoretical, effective, practical, and CCUS‐EOR CSCIP, which is more consistent with geofluid physical properties underground, to make the grading evaluation and ranking of the CSCIP in China's major oil basins. Then, the grading CSCIP of 29 major oil basins in China was evaluated based on the petroleum resources evaluation results of the Ministry of Natural Resources of China (MNRC) during China's 13th Five‐Year Plan period. According to the grading evaluation results, suggestions for China's CCUS‐EOR prospective regions are given as follows: shallow oil fields of the Songliao Basin in Northeast China, shallow–medium oil fields of the Bohai Bay Basin in East China, medium oil fields of the Zhungeer Basin in West China, and medium oil fields of the Ordos Basin in Central China; all are potential areas for the CCUS‐EOR geological sequestration in China's onshore oil basins. In addition, in China's offshore oil basins, shallow–medium oil fields of the Bohai Sea and shallow oil fields of the Pearl River Mouth Basin have potential for CCUS‐EOR geological sequestration.
Key Problems and Countermeasures in CO2 Flooding and Storage
Authors: CHEN Huanqing 
Published: May 2023

AbstractBased on literature research in combination with the practice of CO2 flooding and storage in Jilin Oilfield, this study assesses the key problems in CO2 flooding and storage, proposing the corresponding countermeasures from five aspects of CO2 gas source condition, namely geological condition evaluation, scheme design incoordination with other production methods, economic and effectiveness evaluation, together with dynamic monitoring and safety evaluation. The results show that CO2 flooding is the most economic and effective CO2 storage method. In eastern China, inorganic origin CO2 gas reservoirs are widely developed and are especially the most enriched in the Paleozoic carbonate rock strata and the Cenozoic Paleogene–Neogene system, which provide a rich resource base for CO2 flooding and storage. In the future, CO2 generated in the industrial field will become the main gas source of CO2 flooding and storage. The evaluation of geological conditions of oil and gas reservoirs is the basis for the potential evaluation, planning scheme design and implementation of CO2 flooding and storage. CO2 storage should be below the depth of 800 m, the CO2 flooding and storage effects in low‐permeability oil reservoirs being the best. CO2 geological storage mechanisms primarily consist of tectonic geological storage, bound gas storage, dissolution storage, mineralization storage, hydrodynamic storage and coalbed adsorption storage. The practice of CO2 flooding and storage in Jilin Oilfield demonstratesthat the oil increment by CO2 flooding is at least 24% higher than by conventional water flooding. The most critical factor determining the success or failure of CO2 flooding and storage is economic effectiveness, which needs to be explored from two aspects: the method and technology innovation along with the carbon peaking and carbon neutrality policy support. After CO2 is injected into the reservoir, it will react with the reservoir and fluid, the problem of CO2 recovery or overflow will occur, so the dynamic monitoring and safety evaluation of CO2 flooding and storage are very important. This study is of great significance to the expansion of the application scope of CO2 flooding and storage and future scientific planning and deployment.
Temporal trends of tracheal, bronchus, and lung cancer between 2010 and 2019, in Asian countries by geographical region and sociodemographic index, comparison with global data
Authors: Rezaei Fatemeh , Mazidimoradi Afrooz , Rayatinejad Ali , Allahqoli Leila , Salehiniya Hamid 
Published: May 2023

AbstractBackgroundThis study aimed to describe the trends in incidence, mortality, and burden of tracheal, bronchial and lung (TBL) cancer in Asia from 2010 through 2019 and compare with global and other continental data.MethodsWe collected TBL cancer data from the 2019 Global Burden of Disease (GBD) study from 2010 to 2019 in 49 countries and territories in Asia. For all locations, annual case data and age‐standardized rates (ASRs) were used to investigate the incidence, prevalence, mortality, and disability‐adjusted life‐years (DALYs) of TBL from 2010 to 2019. The relative difference (%) between years was used to show comparative variations of ASRs for the indicators studied.ResultsIn 2019, more than 55% of TBL cancer cases and deaths occurred in Asian countries. A total of 57% of lung cancer patients lived in Asia and almost 60% of the global burden of lung cancer was imposed on Asian countries. From 2010 to 2019, incidences, deaths, prevalence cases, and DALYs number of TBL cancer increased over 1.34‐, 1.31‐, 1.31‐, and 1.26‐fold, in Asia. During this period, the age‐standardized incidence rate (ASIR), the age‐standardized death rate (ASDR), the age‐standardized prevalence rate (ASPR), and the age‐standardized DALYs rate (DALYs ASR) of TBL cancer decreased by 1, 3, 4, and 4%, respectively. While at the same time, the decreasing trend of these rates globally and in America and in Europe happened faster. In 2019, age‐specific incidence, death, prevalence, and DALY cases of TBL cancer were peaking at 65–74, 70–74, 65–69, and 65–69 years, respectively. In 2019, the highest ASIR, ASDR, and DALYs ASR of TBL cancer was observed in East Asia countries and the highest ASPR in high‐income Asia Pacific countries. Central Asia and high‐income Asia Pacific countries experienced a decreasing trend in ASIR and ASDR, and the South Asia countries experienced the highest increasing trend from 2010 to 2019. ASPR only decreased in Central Asia, and DALYs ASR only increased in South Asia. In 2019, among high sociodemographic index (SDI) Asian countries, Brunei Darussalam had the highest ASIR, ASDR, and DALYs ASR and the Republic of Korea had the highest ASPR. Among high‐middle SDIs, Turkey and Georgia; among middle SDIs, China and Armenia; among low‐middle SDIs, Mongolia and the Democratic People's Republic of Korea had the highest ASIR, ASDR, ASPR, and DALY ASR of TBL cancer. Among low SDI Asian countries, Pakistan had the highest ASIR, ASDR, ASPR, and DALY ASR of TBL cancer.ConclusionMost of the global burden of lung cancer occurs in Asian countries, and the decreasing trend of incidence, death, prevalence, and burden of this cancer in these countries is slower than in other regions. Therefore, the implementation of necessary measures in order to reduce the process of this cancer is considered urgent.
A guided digital intervention to reduce cannabis use: The ICan randomized controlled trial
Authors: Olthof Marleen I. A. , Goudriaan Anna E. , van Laar Margriet W. , Blankers Matthijs 
Published: May 2023

AbstractAimsTo test the effectiveness of a digital intervention to reduce cannabis use (ICan) with adherence‐focused guidance compared with educational cannabis information.DesignThis was a single‐blind randomized controlled trial. Follow‐up clinical outcome measurements took place 3 and 6 months after randomization.SettingThe trial was conducted in the Netherlands. The intervention and guidance took place on‐line, with recruitment via Facebook/Instagram advertisement campaigns.ParticipantsInclusion criteria were ≥ 18 years, cannabis use on ≥ 3 days/week, the desire to reduce/quit cannabis and using a smartphone. Participants were allocated to either ICan (n = 188) or control (n = 190) (69% male, mean age = 27.5 years).Intervention and comparatorICan is a mobile (web‐)application based on motivational interviewing and cognitive behavioural therapy and includes three main components: screening, brief intervention (six modules) and referral to treatment. The control condition consisted of non‐interactive educational cannabis information.MeasurementsPrimary outcome was the number of cannabis use days in the 7 days prior to the 6‐month follow‐up measurement. Secondary outcome measures at 3‐ and 6‐month follow‐up were the number of grams of cannabis used and attitudes towards seeking professional help for cannabis use related problems.FindingsIntention‐to‐treat analysis showed that 6 months after randomization the mean number of cannabis use days in the past 7 days was reduced in both conditions (time P < 0.001), with no significant group × time interaction effect [ICan = 4.17 days, control = 4.31 days, Cohen's dbetween = 0.06, 95% confidence interval (CI) = −0.15, 0.26, P = 0.93]. Three months after randomization the mean number of grams used in the past 7 days was reduced in both conditions, with a significantly larger reduction in the ICan condition (P = 0.009, Cohen's dbetween = 0.15). At 6‐month follow‐up the significant group × time interaction effect was no longer present (P = 0.30). In both conditions, attitudes towards seeking professional help remained virtually unchanged over time.ConclusionsA digital intervention to reduce cannabis use (ICan) was more effective than non‐interactive educational cannabis information in reducing grams of cannabis used over 3 months, but not more effective at reducing cannabis use days at 6‐month follow‐up. Cannabis use reductions were maintained in both conditions between 3 and 6 months’ follow‐up.
The influence of proximity with riparian forests and the distance from urban areas on roadkills of vertebrates in a fragmented Brazilian savanna area
Authors: Martins Thais , Freitas Simone Rodrigues , Semensatto Junior Décio Luis , Hardt Elisa 
Published: May 2023

AbstractThe increasing development of highways severely threatens several vertebrates due to habitat fragmentation, edge effects and roadkills. Understanding how the landscape influences the occurrence of roadkills on highways can provide insights into the preferred routes of fauna dispersion and define the priority stretches to implement mitigation actions. This study evaluated the association between landscape characteristics and fauna roadkills on the BR‐158 highway (State of Mato Grosso do Sul, Brazil), where the adjacent vegetation encompasses phytophysiognomies of the Cerrado, a severely threatened biome. The spatial distribution of recorded road‐killed vertebrates (secondary data) was analysed using the statistical tool 2D Hotspot Identification, which defined the stretches with the highest mortality (hotspots). The surrounding landscape within a 1 km buffer zone around the highway was characterized based on area and distance information considering the land use and cover. Generalized linear models were applied to test the influence of locations on roadkill, considering the landscape characteristics as independent variables and the presence/absence of roadkill as the dependent variable. Our results indicated two hotspot stretches along the BR‐158 highway and a higher probability of roadkill in stretches associated with riparian forests and more distant from urban areas. The identification of landscape characteristics associated with the occurrence of vertebrate roadkills can help guide the planning and monitoring of highways. Furthermore, in dry ecosystems such as the Cerrado, we must provide information to implement priority actions in stretches of riparian forest, aiming to mitigate the adverse effects of highways on local biodiversity conservation.
Univariate and multivariate genome‐wide association studies for hematological traits in Murciano‐Granadina goats
Authors: Macri Martina , Luigi‐Sierra Maria Gracia , Guan Dailu , Delgado Juan Vicente , Alvarez Javier Fernández , Amills Marcel , Martínez Amparo Martínez 
Published: May 2023

AbstractHematological traits are important indicators of health status, and they are frequently used as criteria for clinical diagnosis. In humans, the genomic architecture of blood traits has been investigated in depth and thousands of associations with genetic variants have been found. In contrast, the association between marker genotypes and the variation of hematological traits has not been investigated in goats yet. Herewith, we have recorded 12 hematological parameters in 882 Murciano‐Granadina goats that were also genotyped with the Goat SNP50 BeadChip (Illumina). Performance of a univariate genome‐wide association study (GWAS) made it possible to detect one genomic region on goat chromosome (CHI) 21 (19.2–19.5 Mb) associated, at the genome‐wide level of significance, with 4 red blood cell traits. The three markers displaying the highest significances were rs268272996 (CHI21: 19225290 bp), rs268273004 (CHI21: 19565629 bp) and rs268239059 (CHI13: 9615190 bp). Consistently, a multivariate GWAS indicated that the rs268273004 marker on chromosome 21 is associated with seven blood cell traits. Interestingly, this marker maps close to the FA Complementation Group I (FANCI) gene (CHI21: 20021947–20077025 bp), which is functionally related to Fanconi anemia, a syndrome characterized by bone marrow failure, aplastic anemia, and congenital disorders. We have also uncovered additional chromosome‐wide significant associations between genetic markers and erythrocyte and leukocyte traits in the univariate GWAS. These findings evidence that the phenotypic variation of hematological traits in goats is regulated, at least to some extent, by polygenic determinants distributed in multiple chromosomes.
Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome
Authors: Lyu Lingyun , Cheng Yu , Wahed Abdus S. 
Published: May 2023

AbstractQ-learning has been one of the most commonly used methods for optimizing dynamic treatment regimes (DTRs) in multistage decision-making. Right-censored survival outcome poses a significant challenge to Q-Learning due to its reliance on parametric models for counterfactual estimation which are subject to misspecification and sensitive to missing covariates. In this paper, we propose an imputation-based Q-learning (IQ-learning) where flexible nonparametric or semiparametric models are employed to estimate optimal treatment rules for each stage and then weighted hot-deck multiple imputation (MI) and direct-draw MI are used to predict optimal potential survival times. Missing data are handled using inverse probability weighting and MI, and the nonrandom treatment assignment among the observed is accounted for using a propensity-score approach. We investigate the performance of IQ-learning via extensive simulations and show that it is more robust to model misspecification than existing Q-Learning methods, imputes only plausible potential survival times contrary to parametric models and provides more flexibility in terms of baseline hazard shape. Using IQ-learning, we developed an optimal DTR for leukemia treatment based on a randomized trial with observational follow-up that motivated this study.
Exploration of the characteristics of teachers' multimodal behaviours in problem‐oriented teaching activities with different response levels
Authors: Liu Qingtang , Zheng Xinxin , Liu Yaoyao , Wu Linjing , Zhang Si , Zhang Ni , Wang Qiyun 
Published: May 2023

AbstractProblem‐oriented teaching (POT) activities are important in classroom instruction. The level of student response can be influenced by different teacher behaviours in POT. However, the characteristics of teachers' multimodal behaviours at different levels of response are unclear. This study applied epistemic network analysis to explore the characteristics of teachers' multimodal behaviours in POT with different response levels. Using 256 POT segments from 12 classroom teaching videos in primary and secondary schools, this study found that authentic questions and iconic gestures occupied a central position in multimodal behaviours. The concomitant use of multimodal behaviours and the flexibility in eye contact could improve the response levels of students. These findings help understand how teachers' multimodal behaviours can promote students' responses.
Practitioner notesWhat is already known about this topic

Various behaviours have been shown to impact learners' response, such as teachers' responses to students and teachers' non‐verbal behaviours.
Epistemic network analysis can be used to analyse the structure of the connections between cognitive, social and interaction data.
What this paper adds

This study analyses the characteristics of teachers' multimodal behaviours during problem‐oriented activities.
It also compares the salient properties of non‐verbal, verbal and multimodal behavioural networks generated by interactive fragments of students' responses of different cognitive levels.
Implications for practice and policy

Teachers should ask more authentic questions in the classroom to promote in‐depth thinking processes in students.
The appropriate coordination of multimodal behaviours by teachers is crucial to promote the cognitive level of students' responses.
Upon making eye contact with students, teachers should also use iconic gestures and be flexible regarding the use of eye contact.