bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early death from childhood cancer: First medical record‐level analysis reveals insights on diagnostic timing and cause of death
Authors: Lind Katherine T. , Molina Elizabeth , Mellies Amy , Schneider Kami Wolfe , Daley William , Green Adam L. 
Published: October 2023

AbstractBackgroundApproximately 7.5% of pediatric cancer deaths occur in the first 30 days post diagnosis, termed early death (ED). Previous database‐level analyses identified increased ED in Black/Hispanic patients, infants, late adolescents, those in poverty, and with specific diagnoses. Socioeconomic and clinical risk factors have never been assessed at the medical record level and are poorly understood.MethodsWe completed a retrospective case–control study of oncology patients diagnosed from 1995 to 2016 at Children's Hospital Colorado. The ED group (n = 45) was compared to a non‐early death (NED) group surviving >31 days, randomly selected from the same cohort (n = 44). Medical records and death certificates were manually reviewed for sociodemographic and clinical information to identify risk factors for ED.ResultsWe identified increased ED risk in central nervous system (CNS) tumors and, specifically, high‐grade glioma and atypical teratoid/rhabdoid tumor. There was prolonged time from symptom onset to seeking care in the ED group (29.4 vs. 9.8 days) with similar time courses to diagnosis thereafter. Cause of death was most commonly from tumor progression in brain/CNS tumors and infection in hematologic malignancies.ConclusionsIn this first medical record‐level analysis of ED, we identified socioeconomic and clinical risk factors. ED was associated with longer time from first symptoms to presentation, suggesting that delayed presentation may be an addressable risk factor. Many individual patient‐level risk factors, including socioeconomic measures and barriers to care, were unable to be assessed through record review, highlighting the need for a prospective study to understand and address childhood cancer ED.
Enabling connections: Counsellor creativity and therapeutic practice
Authors: Rouse Alison , Armstrong Joe , McLeod John 
Published: October 2023

AbstractAimsTo understand how counsellors' personal creativity informs their professional work with clients.MethodGrounded theory methodology was employed alongside arts‐based research methods. Ten experienced counsellors, active in some form of expressive arts, participated in semi‐structured interviews prior to and following an experiential creative task that involved representing what creativity meant to them, and kept a reflective log throughout the process.FindingsCreativity was viewed by the participants as an important, potentially transformational aspect of their therapeutic work. Creativity was experienced as a relational process that contributed to moment‐by‐moment responsiveness and as a means of establishing meaning and coherence through integrating different forms of experience. The personal creativity of participants was understood as a contribution to their professional creativity in the role of therapist.ConclusionThe study highlights the value of enhancing counsellor and psychotherapist understanding and confidence in respect of ways in which personal creativity can be combined with counselling theory and experience. Limitations of the research are also considered.
Helpful and unhelpful aspects of counselling following breast cancer: A qualitative analysis of post‐sessionHelpfulAspects ofTherapy forms
Authors: Morgan Carol , Cooper Mick 
Published: October 2023

AbstractAimTo investigate what clients found helpful and unhelpful in counselling following breast cancer.MethodFourteen women with a diagnosis of primary breast cancer were asked to complete aHelpfulAspects ofTherapy (HAT) form (Llewelyn, 1988) following each of their counselling sessions at a branch of aUKbreast cancer charity, and these were analysed using grounded theory.FindingsParticipants identified six core helpful aspects of counselling, which were focusing on self, expressing and exploring feelings, problem solving, experiencing a helpful therapeutic relationship, experiencing relief and gaining reassurance, and understanding other(s). Unhelpful aspects of counselling identified were experiencing unwanted thoughts/feelings/behaviours, and the therapist trying something that did not fit/work for the client.ConclusionsParticipants indicated that counselling following breast cancer helped them to get back in touch with themselves, process strong emotions and resolve specific problems. By identifying a range of helpful processes, the analysis supports a pluralistic model of therapeutic change.
The role of clinical judgment in integration of indicators of outcome in psychotherapy research
Authors: Yasky Jaime , King Robert , O'Brien Tom 
Published: October 2023

AbstractBackgroundEvaluation of psychotherapy impact and effect has advanced substantially in the last half century. The development of reliable standardised measures has been especially important. However, several issues remain controversial. One such issue is the extent to which standardised measures adequately capture change and their integration with normal clinical practice. A second is how to deal with the not uncommon situation where one outcome measure indicates change and another does not. Finally, researchers are often confronted with cases where standardised measures are used, but some participants quit therapy without completing them.AimIn this study, we present and discuss an outcome assessment method developed in the context of a naturalistic, mixed‐methods study of 22 treatments of psychosomatic patients.MethodologyThis multimodal, multi‐informant method involved a thorough and individualised analysis of transcripts, questionnaires and other clinical data, the consideration of patient and therapist's opinions about outcome, and the use of clinical judgment to integrate different indicators and classify outcome, with the aid of two auditors reviewing the process.FindingsEight cases improved, six deteriorated, and eight did not change. Three case vignettes illustrate the application of the method, and some possible sources of bias of patient and therapist's opinion about outcome are identified.ImplicationsClinical judgment can help integrate results from standardised measures and other data sources into outcome assessment normally practised by clinicians. This method, besides its high cost in time and resources, can also be useful in research to rescue outcome assessment when collection of outcome measures fails.
Promoting recovery from suicidal ideation through the development of protective factors
Authors: Surgenor Paul W.G. 
Published: October 2023

AbstractBackgroundThe important message of engendering hope in clients with suicidal ideation has frequently been obscured by the prevalence of a negative risk factors perspective and by a general lack of empirical support for intervention models based on developing protective factors.AimThis research aimed to explore recovery from suicidal ideation in the six months following engagement in a protective factors‐based therapeutic intervention.MethodRecovery was ascertained by the change in levels of positive and negative outlook, as measured by the PHQ‐9, the single‐item self‐esteem indicator, and the positive and negative suicide ideation inventory. This involved administering a questionnaire to clients pre‐therapy (n = 376) and again to the same clients one month (n = 147), three months (n = 130) and six months (n = 107) post‐therapy. All participants were over 18 years old and presented to a suicide intervention charity for therapy due to suicidal ideation.FindingsResults showed an overall significant effect for engaging in therapy. Comparisons revealed statistically significant decreases in levels of negative outlook and increases in positive outlook, with the largest differences observed in pre‐therapy and six‐month post‐therapy comparisons.ImplicationsResults provide support for the efficacy of intervention models that develop a client's protective factors and for the ability of a client to recover from suicidal ideation. Findings may also encourage therapists to reconsider reliance on the traditional negative model of suicide intervention and to explore intervention methods that enhance clients’ protective factors in line with the positive psychology perspective.
Hydrophobic Interfacing of Fluorescent Membrane Probes
Authors: Bayard Felix , Chen Xiao‐Xiao , García‐Arcos Juan Manuel , Roux Aurelien , Sakai Naomi , Matile Stefan 
Published: October 2023

AbstractFluorescent flippers have been introduced as small‐molecule probes to image membrane tension in living systems. While the hydrophilic headgroup region has been modified extensively for intracellular targeting, little is known about the hydrophobic interfacing with the surrounding membrane. To tackle this challenge, the design, synthesis and evaluation of a glutamine‐derived flipper collection is reported. Considering the importance of tension‐induced phase separation for tension imaging, this study is focused on how to modulate the distribution of functional flippers between ordered and disordered microdomains. Also of interest was control over intermembrane transfer without loss of function for the specific labeling of plasma and intracellular membranes. Evidence is presented for a two‐step insertion mechanism through more accessible disordered domains into better matching ordered domains. This process also explains differences between partition coefficients and bioimaging. It is further demonstrated that interdomain and intermembrane distribution can be regulated by hydrophobic interfacing to control brightness in fluorescence lifetime imaging microscopy and responsiveness to membrane tension. Irreversible partitioning inhibits intermembrane transfer and coincides with internalization into cells. These results demonstrate that hydrophobic interfacing can improve probe performance and provide guidelines on how to proceed.
Perspectives on judging posters
Authors: Patience Gregory S. , Villasana Yanet , Blais Bruno 
Published: October 2023

AbstractPosters sessions are popular informal forums to share emerging scientific results as they encourage discussion beyond results to include methodology, problems, and solutions. On the other hand, when there are too many posters, people suffer from cognitive overload and so are incapable of seeing and appreciating all of the research. Moreover, posters sessions are less well attended than presentations and as a consequence some authors leave the poster unattended. Poster competitions are one means to encourage presenters to stay at their post and people to come (especially when there are free refreshments). To identify the best poster(s) requires a simple scoring scheme, motivated judges who necessarily examine half‐a‐dozen or more posters, and a calibration method to account for differing opinions between judges. Judging is imperfect but we should be capable of agreeing which posters are among the top 10%.
Language of instruction in schools in low‐ and middle‐income countries: A systematic review
Authors: Nakamura Pooja , Molotsky Adria , Zarzur Rosa Castro , Ranjit Varsha , Haddad Yasmina , De Hoop Thomas 
Published: October 2023

AbstractBased on the theory of change, we gather, organize, and synthesize the evidence on the impact of three language of instruction (LOI) choices (teaching in mother tongue [MT] with later transition, teaching in a non‐MT language, or teaching in two or more languages at one time) on literacy and biliteracy outcomes. We focus on quantitative and qualitative studies of LOI interventions in low‐ and middle‐income countries (LMICs) and consider languages that are commonly spoken in the developing world. As such, we include studies that examine transfers from local languages to English, but not those evaluating transfers from local languages to languages that are less spoken in LMICs (e.g., Swedish).
Sustainability committee and environmental decoupling: International evidence
Authors: Gull Ammar Ali , Sarang Aitzaz Ahsan Alias , Mushtaq Rizwan , Ahsan Tanveer 
Published: October 2023

AbstractThis paper examines whether sustainability committees curb environmental decoupling. Using a global sample, we document a negatively significant association between sustainability committee and environmental decoupling. These results support the notion that sustainability committees lower the gap between firms actual and reported environmental performance. With regard to the composition of such a committee, we show that size and tenure are positively associated with the level of environmental decoupling. However, more independent and gender‐diverse committees lower the level of environmental decoupling. Further analysis shows that documented relationship is not subject to the firms' corporate governance quality or industry nature. We also document that less engagement of firms with sustainability committee in decoupling practices tend to enhance their financial performance. The results are robust to endogeneity concerns, and several robustness tests. Our findings offer important implications for academic researchers, consultants, stakeholders, and policymakers.
Mesenchymal stem cell‐derived extracellular vesicles in treatment against renal fibrosis
Authors: Wang Jiantao , Cui Jianxin , Yu Shengqiang , Xia Shujie 
Published: October 2023

AbstractBackgroundRenal fibrosis (RF) is the main pathological pathway of acute kidney injury and chronic kidney disease. Its main pathological feature is extracellular matrix aggregation in the renal stroma and glomerulus. There is currently no effective treatment to delay or treat RF. Mesenchymal stem cells (MSCs) are multipotent somatic stem cells that can direct differentiation, direct cell‐cell interactions and have secretory activity. The most important secretory activity of MSCs is mediated by extracellular vesicles (EVs). At present, there is increasing evidence that EVs produced by MSCs may be used in regenerative methods of tissue repair.AimThe goal of this review is to present the latest efficacy of MSC‐EVs in the prevention, treatment and improvement of RF caused by acute and chronic kidney injury and reveals the molecular mechanism of MSCs in various models.Results and discussionMSC‐EVs show potential for RF by regulating autophagy, inhibiting apoptosis, countering oxidation, suppressing inflammation, reducing EMT and modulating angiogenesis.ConclusionMSC‐EVs show potential for treating RF. However, more studies establishing their safety, efficiency and specific mechanisms in the context of RF are still needed before further clinical application.
OMIP‐097: High‐parameter phenotyping of human platelets by spectral flow cytometry
Authors: Spurgeon Benjamin E. J. , Frelinger Andrew L. 
Published: October 2023

AbstractUsing spectral flow cytometry, we developed a 16‐color panel for analysis of platelet phenotype and function in human whole blood. The panel contains markers of clinical relevance and follows an optimized protocol for the high‐parameter phenotyping of (phosphatidylserine positive) procoagulant platelets. Inclusion of established markers, such as CD62P and PAC‐1, allows the subsetting of classic (proinflammatory and proaggregatory) phenotypes, while addition of novel markers, such as TLR9, allows the resolution of platelets with nonclassic functions. Multiple inducible (C3b, CD63, CD107a, CD154, and TLT‐1) and constitutive (CD29, CD31, CD32, CD36, CD42a, CD61, and GPVI) markers are also measurable, and we demonstrate the use of automatic gating for platelet analysis. The panel is widely applicable to research and clinical settings and can be readily modified, should users wish to tailor the panel to more specific needs.
Workload prediction for enhancing power efficiency of cloud data centers using optimized self‐attention‐based progressive generative adversarial network
Authors: Saravanan G. , Santhosh Babu A. V. 
Published: October 2023

SummaryNowadays, future workload prediction is an important requirement in cloud data centers to maintain flexibility and scalability of resources. However, due to unexpected peaks, drops in workload, noise, and redundancy in user requests, there is a considerable variance in resource demands, making it difficult to accurately predict workloads. Therefore, a self‐attention‐based progressive generative adversarial network (SAPGAN) optimized with Giza Pyramids Construction Algorithm (GPCA)‐based workload prediction is proposed for Sustainable Cloud Data Centers (CDC). At first, redundant data in historical data obtained through CDC are filtered utilizing Markov chain random field (MCRF) co‐simulation method. These pre‐processed historical data are supplied to the SAPGAN. The SAPGAN weight parameters are optimized by GPCA. The proposed method is analyzed using 2 benchmark datasets: HTTP traces from Saskatchewan and NASA. The simulation is implemented in JAVA. The performance metrics is examined to verify the efficacy of the proposed technique. The performance of the proposed approach provides 28.70%, 11.87%, and 14.79% higher accuracy; 30.15%, 11.72%, and 18.34% lesser energy consume for the dataset of NASA; and 5.32%, 2.45%, and 5.67% higher accuracy; 12.36%, 24.24%, and 34.16% lesser energy consume for the dataset of Saskatchewan HTTP traces compared with existing methods, such as auto‐adaptive learning in a dynamic cloud environment (AADEA‐WLP‐CDC), a neural network model depending on biphase adaptive learning for anticipating cloud data center workload (BALNN‐WLP‐CDC) and multiple scale ensemble of deep learning framework for multistep‐ahead cloud workload prediction (EMD‐LSTM‐GAN‐WLP‐CDC).
Spatio‐temporal availability of renewable energy sources for Western Paraná
Authors: Guicho Ricardo , Medeiros Gabriela , Zambão Jackline Diane , Amaral Mailor Wellinton Wedig , Pilatti Maria Clara , Prior Maritane 
Published: October 2023

AbstractThe hydroelectric crisis is fomenting studies that seek the decentralization of electric energy generation in Brazil. Due to the climatic dependence on alternative sources, knowing their intermittent behavior is the best way to ensure supply. This article presents an analysis of energy complementarity based on the occurrences of climate variables with precipitation for hydroelectric power, irradiation for photovoltaic, and wind speed for wind power. We aimed to analyze and spatialize the availability of renewable energy sources in western Paraná through historical series (2011 to 2020), statistical analysis (monthly and seasonal), and the use of Geographic Information System (GIS). Daily data records were made available by the Paraná Meteorological Institute (SIMEPAR), referring to eight weather stations throughout the mesoregion. The results identified spatial complementarity for the mesoregion West Paraná. Cascavel city stood out for temporal complementarity, recording the highest values for precipitation in spring and wind speed in winter. In addition, irradiation data excelled in summer for the city of Santa Helena when compared to the other municipalities considered.
The thermal impact of stored water as supplementary energy source for a solar air heater
Authors: Semai Hakim , Bouhdjar Amor 
Published: October 2023

AbstractSolar energy system optimization is a critical consideration for expanding its reach and competitiveness against traditional energy sources. This study specifically targets solar flat plate collectors, focusing on the concept of solar air collectors with an innovative enhancement strategy. To fulfill energy requirements across various applications like heating and drying, setting up collector arrays, such as solar air and water heaters, becomes imperative for meeting desired energy outputs. This research employs numerical analysis to investigate the energy efficiency of a modified solar air heater (MSAH). The enhancement involves integrating a parallelepiped enclosure filled with water, connected to a solar flat plate water collector, into the collector's rear. This water‐filled enclosure serves as a storage tank for the solar water heater. Simulation using the Fluent CFD code is conducted based on meteorological conditions at the Renewable Energy Development Center (CDER) in Bouzaréah, Algeria. Numerical outcomes are compared with experimental findings. Results indicate the positive impact of utilizing the water storage tank as an additional energy source. This modification leads to a substantial 57% performance increase in the MSAH compared with the standard version. This elevated efficiency remains consistent even during periods of reduced solar radiation, owing to the supplementary energy contribution from the solar water heater. In contrast, the standard version's performance hinges solely on available solar radiation for energy generation. This research underscores the potential of combining solar air and water heaters to enhance solar energy systems' efficiency and dependability, facilitating their practical implementation and sustainable utilization.
Karst landform classification considering surface flow characteristics derived from digital elevation models
Authors: Cao Haoyu , Xiong Liyang , Ma Junfei , Wang Hongen , Li Sijin , Yu Fengyize , Wang Peng 
Published: October 2023

AbstractKarst landforms are one of the most typical geographical units with a specific physical process on the earth's surface. The classification of karst landforms is an important aspect for understanding their landform processes and mechanisms. However, influenced by various interior and external forces, karst landforms have an extremely complex surface morphology, increasing the difficulty of their automatic classification. In this study, we considered hydrological features as an important factor in characterizing karst landforms and proposed a method that considers surface flow for karst landform classification. In this method, terrain was reversed for hydrological analysis to achieve the landform units. Then, the watershed boundary of the reversed terrain is extracted by hydrological analysis. The boundary of the karst landform unit is determined by erasing the plain area from the watershed boundary. Thereafter, the graph theory segmentation method is employed to merge the landform units belonging to the same karst landform entity. The proposed approach is validated and applied in two sample karst areas, Fenglin and Fengcong, located in Guilin, China, using digital elevation model data with 30 m spatial resolution. In addition, a comparative analysis is conducted to evaluate the accuracy of the proposed method. The results demonstrated that the typical karst landform units of Fenglin and Fengcong can be effectively classified. The overall classification accuracy is 94.44%. The proposed method produced more reasonable and accurate boundaries compared with the contour tree and terrain feature point methods. Furthermore, the classification results indicate various landform development stages of the karst landform process in the study area. The proposed method considering surface flow characteristics can be further extended to other landform types with highly complex landforms.