bluuebunny/crossref_metadata_2025_split huggingface dataset:
Australians with chronic lymphocytic leukaemia continue to have high rates of second primary malignancies in the modern era
Authors: Baggio Diva , Chung Eliza , Wellard Cameron , Waters Neil , Cushion Tania , Chong Geoffrey , Cochrane Tara , Cull Gavin , Giri Pratyush , Hamad Nada , Johnston Anna , Lee Denise , Murali Aarya , Morgan Susan , Mulligan Stephen , Talaulikar Dipti , Ratnasingam Sumita , Wood Erica , Hawkes Eliza , Opat Stephen 
Published: July 2024

AbstractPopulation‐based studies have demonstrated a high risk of second cancers, especially of the skin, among patients with chronic lymphocytic leukaemia (CLL). We describe age‐standardised incidence ratios (SIRs) of second primary malignancies (SPM) in Australian patients with relapsed/refractory CLL treated with at least two lines of therapy, including ibrutinib. From December 2014 to November 2017, 156 patients were identified from 13 sites enrolled in the Australasian Lymphoma and Related Diseases Registry, and 111 had follow‐up data on rates of SPM. At 38.4 months from ibrutinib therapy commencement, 25% experienced any SPM. SIR for melanoma and all cancers (excluding nonmelanomatous skin cancers) were 15.8 (95% confidence interval (CI): 7.0–35.3) and 4.6 (95% CI: 3.1–6.9) respectively. These data highlight the importance of primary preventive interventions and surveillance, particularly as survival from CLL continues to improve.
The impact of AI‐based decision support systems on nursing workflows in critical care units
Authors: Almagharbeh Wesam Taher 
Published: July 2024

AbstractAimThis research examines the effects of artificial intelligence (AI)‐based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.BackgroundThe deployment of AI technology within the healthcare sector presents substantial opportunities for transforming patient care, with a particular emphasis on the field of nursing.MethodThis paper examines how AI‐based DSS affect CCU nursing workflows in Amman, Jordan, using a cross‐sectional analysis. A study group of 112 registered nurses was enlisted throughout a research period spanning one month. Data were gathered using surveys that specifically examined several facets of nursing workflows, the employment of AI, encountered problems, and the sufficiency of training.ResultThe findings indicate a varied demographic composition among the participants, with notable instances of AI technology adoption being reported. Nurses have the perception that there are favorable effects on time management, patient monitoring, and clinical decision‐making. However, they continue to face persistent hurdles, including insufficient training, concerns regarding data privacy, and technical difficulties.DiscussionThe study highlights the significance of thorough training programs and supportive mechanisms to improve nurses' involvement with AI technologies and maximize their use in critical care environments. Although there are differing degrees of contentment with existing AI systems, there is a general agreement on the necessity of ongoing enhancement and fine‐tuning to optimize their efficacy in enhancing patient care results.Conclusion and implications for nursing and/or health policyThis research provides essential knowledge about the intricacies of incorporating AI into nursing practice, highlighting the significance of tackling obstacles to guarantee the ethical and efficient use of AI technology in healthcare.
Unveiling the detrimental vicious cycle linking skeletal muscle and COVID‐19: A systematic review and meta‐analysis
Authors: Wang Qin , Shi Peipei , Cao Lu , Li Haoran , Chen Xiankai , Wang Peiyu , Zhang Jianjiang 
Published: July 2024

AbstractObjectiveSkeletal muscle catabolism supports multiple organs and systems during severe trauma and infection, but its role in COVID‐19 remains unclear. This study investigates the interactions between skeletal muscle and COVID‐19.MethodsThe PubMed, EMbase, and The Cochrane Library databases were systematically searched from January 2020 to August 2023 for cohort studies focusing on the impact of skeletal muscle on COVID‐19 prevalence and outcomes, and longitudinal studies examining skeletal muscle changes caused by COVID‐19. Skeletal muscle quantity (SMQN) and quality (SMQL) were assessed separately. The random‐effect model was predominantly utilized for statistical analysis.ResultsSeventy studies with moderate to high quality were included. Low SMQN/SMQL was associated with an increased risk of COVID‐19 infection (OR = 1.62, p < 0.001). Both the low SMQN and SMQL predicted COVID‐19‐related mortality (OR = 1.53, p = 0.016; OR = 2.18, p = 0.001, respectively). Mortality risk decreased with increasing SMQN (OR = 0.979, p = 0.009) and SMQL (OR = 0.972, p = 0.034). Low SMQN and SMQL were also linked to the need for intensive care unit/mechanical ventilation, increased COVID‐19 severity, and longer hospital stays. Significant skeletal muscle wasting, characterized by reduced volume and strength, was observed during COVID‐19 infection and the pandemic.ConclusionsThis study reveals a detrimental vicious circle between skeletal muscle and COVID‐19. Effective management of skeletal muscle could be beneficial for treating COVID‐19 infections and addressing the broader pandemic. These findings have important implications for the management of future virus pandemics.Systematic review registrationPROSPERO CRD42023395476.
Variation in parasitoid adult size is related to host egg size, maternal state and developmental time
Authors: Qi Mei , Yin Yuan‐Feng , Luo Ting‐Yu , Qiu Lan‐Feng , Li Xiang , Wang Xi‐Qing , Hu Hao‐Yuan , Liu Peng‐Cheng 
Published: July 2024

AbstractBody size is a characteristic of many animal species that is correlated with many fitness‐related traits. Parasitoids are important biological control agents of pests; larger parasitoids often have greater fitness and enhanced performance. Host size is a major influence on parasitoid size, which has been explored in the important egg parasitoid Anastatus disparis (Hymenoptera: Eupelmidae), a potential biological control agent for several Lepidopteran pests. Here, we found that the body size of A. disparis females increased with increasing host egg size, while host egg size did not significantly affect male size. In addition, both female and male offspring sizes significantly increased with increasing maternal size, and female offspring produced by younger mothers were also larger. Furthermore, the body sizes of both females and males appeared to increase when the total development time from egg to adult eclosion decreased. Male offspring produced by larger females have shorter development times, while female offspring produced by older females have longer development times. Consequently, our results suggested that the effect of maternal status on offspring size may be mediated by influencing development time. In summary, our results indicated that the body size of A. disparis is determined by multiple factors with differing effects on females and males, and our results provide guidance for its effective mass rearing and its performance in the field.
Crops dependency on pollinators to secure pollination success and fruit development: A case study of almond varieties from Morocco
Authors: Skaou Ayyoub , Aglagane Abdessamad , Er‐Rguibi Omar , El Mouden El Hassan 
Published: July 2024

AbstractThe contribution of insects to pollination constitutes a globally important ecosystem service. Due to the increasing demand for entomophilous crops, the nutritional and economic importance of insect‐pollinated crops and the inability of managed pollinators (Apis mellifera L) to meet the high demand for their services indicate that agriculture heavily relies on wild pollinators. Almonds are an economically valuable crop in Morocco. Therefore, it is essential to understand the fundamental pollination requirements of major almond varieties to promote their production. The main objectives of this study were to assess the dependency of three almond cultivars (Espoir, Largueta and Planeta) on insect pollination, and then to evaluate the pollination deficit resulting from the lack of these pollinators. For this purpose, we used insect‐proof net bags constructed around branches of almond trees to compare fruit set and yield with open and open + hand‐pollinated flowers. The results of the fruit set experiment confirmed that all three varieties require insect pollination, as fruit set and yield were significantly higher in insect‐pollinated than insect‐isolated trees. All three almond varieties were categorized as obligatory dependent on biotic pollinators. In addition, two out of the three studied almond varieties showed high pollination deficit resulting from the lower abundance and/or diversity of pollinating insects. The results of the current study highlights the important role of insect pollinators for almond crops and the urgent need for the implementation of sustainable strategies to preserve pollinators within agricultural ecosystems.
Enhancing user experience in the digital service environment: A comprehensive study on the design and evaluation of internet‐based healthcare products
Authors: Zhao Hang , Zheng Yiying , Chen Shuting , Han Ting 
Published: July 2024

AbstractRationaleIn the era of burgeoning digital technology, healthcare is a challenging transformative change towards virtual and digital platforms. Internet‐based healthcare services are emerging as a popular trend within the medical area. User experience (UX) is paramount for the healthcare service, as it significantly influences experience satisfaction and fosters user viscosity. Gaining a profound understanding of users' demands and crafting services that align with their expectations is essential.MethodsConsequently, exploring an effective design approach for the digital healthcare service that prioritizes UX along with utilizing a comprehensive evaluation methodology to handle UX data, is of profound importance. This study introduces a design methodology for Internet‐based healthcare products grounded in the UX and mental (UX‐M) model. Aiming to refine the Internet‐based healthcare product design by integrating insights from the experience data, it employs the Delphi‐ANP and the fuzzy comprehensive evaluation to determine evaluation indexes and conduct experiential assessments.ResultsThe UX evaluation results of existing schemes are compared with the proposed design scheme of the intelligent guidance and internet hospital. The findings indicate that the UX evaluation of Internet‐based medical services with the proposed method outperforms the existing schemes.ConclusionsOn the one hand, UX research of Internet‐based healthcare products can significantly enhance service satisfaction for patients utilizing online medical treatments. On the other hand, the analysis of experience‐based evaluation empowers designers to refine and improve UX design of Internet‐based medical services. Such research endeavors are critical for enhancing the overall quality of service offerings and elevating user satisfaction in the digital healthcare landscape.
Authentic parent engagement in performance measure design: The JCAMP example
Authors: Summers Alicia , Cantamessa Heather 
Published: July 2024

AbstractPerformance measurement is meant to help organizations to better understand current practices, processes, outputs, or outcomes. Yet, it is often limited in its use and usefulness, partly because it is not designed with the end user in mind. This article describes a process that integrates participatory design and design thinking methodologies to bring together a multidisciplinary group of systems professionals, researchers, and persons with lived experience to create meaningful child welfare court performance measures. The methods and process used to design the measures are described, including the resulting measures in one domain of measurement. Key lessons were learned throughout this process, including the value of lived experience in design and implementation.
From ambiguity to action: Reframing child safety measurement in the child welfare court system
Authors: Summers Alicia , Renne Jennifer 
Published: July 2024

AbstractChild safety is an ambiguous and transient construct within the child welfare court system. It being not statutorily defined yet is at the crux of the child welfare system. In this article, the measurement of child safety in the child welfare system is explored with a focus on how it has been measured within the context of the courts. Gaps in the current measurement structure are identified, focusing on how measurement might support a better understanding of a safety decision‐making framework and its application into practice. The article also introduces the Capacity Building Center for Courts' Judicial, Court, and Attorney Measures of Performance as a new approach to a standardized performance metric of safety practices within the child welfare court system. Limitation of these measures is discussed along with recommendations for moving the field forward toward measuring safety decision‐making.
Immersion immunization with recombinant Saccharomyces cerevisiae displaying ORF25 induced protective immunity against cyprinid herpesvirus 2
Authors: Yang Maoxia , Luo Sheng , Zhou Qianjin , Lu Jianfei , Chen Jiong 
Published: July 2024

AbstractDisplaying antigens on yeast surface as an oral vaccine has been widely explored, while its potential as an immersion vaccine has not been evaluated. Here, an immersion vaccine was prepared by displaying ORF25 of Cyprinid herpesvirus 2 (CyHV‐2) on the surface of Saccharomyces cerevisiae. Carassius auratus gibelio was immersion immunized by 2 × 107 CFU/mL yeast for 2 h, and reinforce the immunity using the same method 14 days after the first immunization. The results showed that ORF25 specific antibody in immunized crucian carp serum was detected at a high level, and the mRNA expression level of IgM, IgT, IL‐1β, and IFN‐1 in vaccinated head‐kidney and spleen tissues were higher than the control group, indicating that innate and adaptive immunity were induced. Moreover, the immersion vaccination provided effective protection for fish against CyHV‐2, leading to a relative percent survival of 50.2%. Meanwhile, immersion vaccination restrained virus replication and histological damage in CyHV‐2 infected crucian carp. Our data suggested that immersion immunization of S. cerevisiae‐displayed ORF25 could be served as a candidate vaccine to prevent CyHV‐2 infection.
Artificial intelligence‐based modeling of novel non‐thermal milk pasteurization to achieve desirable color and predict quality parameters during storage
Authors: Alsaedi Ali Wali M. , Al‐Hilphy Asaad R. , Al‐Mousawi Azhar J. , Gavahian Mohsen 
Published: July 2024

AbstractThis study proposed using color components as artificial intelligence (AI) input to predict milk moisture and fat contents. In this sense, an adaptive neuro‐fuzzy inference system (ANFIS) was applied to milk processed by moderate electrical field‐based non‐thermal (NP) and conventional pasteurization (CP). The differences between predicted and experimental data were not significant (p > 0.05) for lightness (L*), redness‐greenness (a*), yellowness‐blueness (b*), total color differences (∆E), hue angle (h), chroma (C), whiteness (WI), yellowness (YI), and browning index (BI). ANFIS well‐predicted milk fat and moisture content using quadratic and two‐factor interaction models with mean errors of .00858–.01260 and correlation coefficient of .8051–.8205. Stability tests showed L* and WI reduced while a*, b*, ΔE, h, C, YI, and BI increased during the storage. NP milk had 77.21% higher half‐life than CP, as predicted by ANFIS modeling. Findings indicated milk quality characteristics could be estimated based on physical parameters (e.g., color components), contributing to sustainable food production.Practical applicationsThe findings offer practical applications of artificial intelligence (AI) as an innovative monitoring and prediction technique to enhance food quality and sustainability. The proposed methodology makes the real‐time prediction of milk quality feasible by leveraging AI and physical parameters. An adaptive neuro‐fuzzy inference system (ANFIS) accurately predicts moisture and fat contents according to color values, facilitating quality assessment. Stability tests during cold storage provide insights into milk quality changes over time, aiding in determining key parameters in predictive modeling. The proposed approach was found to be applicable to both conventional and non‐thermal pasteurized milk. This study also provides a step‐by‐step protocol, facilitating the implementation of emerging technologies in the food industry.
Moisture‐modulated thermo‐physical analysis of sweetsop seed (Annona squamosa L.): A potential biofuel feedstock plant
Authors: Oloyede Christopher Tunji , Jekayinfa Simeon Olatayo , Adebonojo Samuel Adeyemi , Uduaghan Alexander Adebola , Adebayo Johnson Mobolaji , Islam Md Rizwanul Fattah 
Published: July 2024

AbstractSweetsop seed holds significant economic value as an oil seed, with ca. 25% oil content that finds applications as a feedstock for energy generation. The moisture‐modulated thermophysical properties of the seed were determined at varying moisture contents (8.0%–32.5%). Physical properties (length [L], width [W], thickness [T], arithmetic [Amd], and geometric mean diameters [Gmd], sphericity [Sty], surface area [SA], and bulk density [ρd]) were determined using standard methods while the thermal properties (specific heat capacity [SHC], thermal conductivity [Tcd], and thermal diffusivity [Tdf]) were analyzed using a TEMPOS thermal analyzer. The results showed that the seed L, W, T, Amd, and Gmd, Sty, SA, and ρd ranged from 13.22–14.95 mm, 7.32–7.95 mm, 5.25–5.35 mm, 8.60–8.75 mm, and 7.96–8.11 mm, 0.61–0.60, 196.72–205.28 mm2, and 210.00–270.00 kg m−3, respectively. The SHC, Tcd, and Tdf ranged from 0.14–0.52 J kg−1 K−1, 0.17–0.35 W m−1 K−1, and 0.10–0.20 m2 s−1, respectively. The ANOVA results indicated that the thermo‐physical properties studied were significantly (p ≤ 0.05) affected by moisture content. By utilizing the determined properties, engineers can develop efficient machines to harness the economic potential of sweetsop seed oil in various industries, including biofuel generation.Practical applicationsThe thermal and physical properties of sweetsop seed are needed by agricultural and mechanical engineers and food scientists to explore the potential application of the seed and the seed product, like oil for industrial and commercial purposes. Data obtained on the specific heat capacity of the seed would be valuable in designing of heating compartment of an oil expeller, thermal conductivity and diffusivity would be needed to design drying systems that balance efficiency and quality preservation, facilitate efficient removal of moisture from the seed while minimizing the risk of over‐drying or under‐drying. Thus, affects the design of the seed storage systems. Data on the seed axial dimensions, sphericity, mean diameters, surface area, and bulk density would be useful in the design and fabrication of agricultural equipment like sheller, grinder, packaging machines, discharge chute, aperture, and planter, to ensure proper seed placement, flow and to determine machine throughput capacity.
Esophageal motor disorders across ages: A retrospective multicentric analysis
Authors: Pasta Andrea , Facchini Chiara , Calabrese Francesco , Bodini Giorgia , De Bortoli Nicola , Furnari Manuele , Mari Amir , Savarino Edoardo V. , Savarino Vincenzo , Visaggi Pierfrancesco , Zentilin Patrizia , Giannini Edoardo G. , Marabotto Elisa 
Published: July 2024

AbstractBackgroundAge‐related changes in the gastrointestinal system are common and may be influenced by physiological aging processes. To date, a comprehensive analysis of esophageal motor disorders in patients belonging to various age groups has not been adequately reported.MethodsWe conducted a retrospective assessment of high‐resolution manometry (HRM) studies in a multicenter setting. HRM parameters were evaluated according to the Chicago Classification version 4.0. Epidemiological, demographic, clinical data, and main manometric parameters, were collected at the time of the examination. Age groups were categorized as early adulthood (<35 years), early middle‐age (35–49 years), late middle‐age (50–64 years), and late adulthood (≥65 years).ResultsOverall, 1341 patients (632, 47.0% male) were included with a median age of 55 years. Late adulthood patients reported more frequently dysphagia (35.2%) than early adulthood patients (24.0%, p = 0.035), early middle‐age patients (21.0%, p < 0.0001), and late middle‐aged patients (22.7%, p < 0.0001). Esophagogastric junction outflow obstruction was more prevalent in late adulthood (16.7%) than in early adulthood (6.1%, p = 0.003), and in early middle‐age (8.1%, p = 0.001). Patients with normal esophageal motility were significantly younger (52.0 years) than patients with hypercontractile esophagus (61.5 years), type III achalasia (59.6 years), esophagogastric junction outflow obstruction (59.4 years), absent contractility (57.2 years), and distal esophageal spasm (57.0 years), in multivariate model (p < 0.0001).ConclusionThe rate of esophageal motor disorders is higher in older patients, in particular esophagogastric junction outflow obstruction and hypercontractile esophagus. Future prospective studies are necessary to confirm our results and to find tailored strategies to improve clinical outcomes.
Medicare expenditures among spouses of persons with dementia
Authors: Ingraham Bailey C. , Barthold Douglas , Coe Norma B. , Fishman Paul 
Published: July 2024

AbstractBackgroundSpouses of persons living with dementia face intense strains on their well‐being compared with similarly aged adults and spouses of partners with no dementia. This strain can impact spouses' health and healthcare needs, and therefore affect their healthcare utilization and expenditures.MethodsUsing data from the Health and Retirement Study linked with Medicare claims, we matched dyads of spouses and their partners with dementia (SPWD) to a comparison group of similar spouses and their partners with no dementia (SPWND). We then examined Medicare expenditures for spouses in the 5 years following their partner's dementia onset month using a two‐part regression model.ResultsSPWD cumulative total Medicare expenditures were, on average, $60,043 in the 5 years post dementia onset, compared to $56,068 for SPWND. This difference ($3974, 95% CI = [−$3,199; $11,477]) was not significant. However, there were significant differences in the 5th year's total expenditures (+$2,748 [$321; $5,447]), driven by inpatient expenditures ($1,562 [$22; $3,277]).ConclusionsDespite the differences in partner's dementia status, we found no significant difference in the 5‐year cumulative Medicare expenditures between SPWD and SPWND. Compared to previous studies, we likely captured an earlier stage of dementia more consistently for a broader population which may be less straining on spouses. Further research should examine patterns of expenditures in later years and around critical timepoints in caregiving, such as partner transitions to formal long‐term care settings and death, to better understand healthcare expenditures for spouses of persons living with dementia.