bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-Term Risk of Subsequent Neoplasms in 5-Year Survivors of Childhood Neuroblastoma: A Dutch Childhood Cancer Survivor Study-LATER 3 Study
Authors: Westerveld Aimée S.R. , Tytgat Godelieve A.M. , van Santen Hanneke M. , van Noesel Max M. , Loonen Jacqueline , de Vries Andrica C.H. , Louwerens Marloes , Koopman Maria M.W. , van der Heiden-van der Loo Margriet , Janssens Geert O. , de Krijger Ronald R. , Ronckers Cecile M. , van der Pal Helena J.H. , Kremer Leontien C.M. , Teepen Jop C. 
Published: October 2024

PURPOSE
Neuroblastoma survivors have an increased risk of developing subsequent malignant neoplasms (SMNs), but the risk of subsequent nonmalignant neoplasms (SNMNs) and risk factors are largely unknown. We analyzed the long-term risks and associated risk factors for developing SMNs and SNMNs in a well-characterized cohort of 5-year neuroblastoma survivors.

METHODS
We included 563 5-year neuroblastoma survivors from the Dutch Childhood Cancer Survivor Study (DCCSS)-LATER cohort, diagnosed during 1963-2014. Subsequent neoplasms were ascertained by linkages with the Netherlands Cancer Registry and the Dutch Nationwide Pathology Databank (Palga) and medical chart review. We calculated standardized incidence ratios (SIRs), absolute excess risk (AER), and cumulative incidences. Multivariable competing risk regression analysis was used to evaluate risk factors.

RESULTS

In total, 23 survivors developed an SMN and 60 an SNMN. After a median follow-up of 23.7 (range, 5.0-56.3) years, the risk of SMN was elevated compared with the general population (SIR, 4.0; 95% CI, 2.5 to 5.9; AER per 10,000 person-years, 15.1). The 30-year cumulative incidence was 3.4% (95% CI, 1.9 to 6.0) for SMNs and 10.4% (95% CI, 7.3 to 14.8) for SNMNs. Six survivors developed an SMN after iodine-metaiodobenzylguanidine (
131I
MIBG) treatment. Survivors treated with
131I
MIBG had a higher risk of developing SMNs (subdistribution hazard ratio [SHR], 5.7; 95% CI, 1.8 to 17.8) and SNMNs (SHR, 2.6; 95% CI, 1.2 to 5.6) compared with survivors treated without
131I
MIBG; results for SMNs were attenuated in high-risk patients only (SMNs SHR, 3.6; 95% CI, 0.9 to 15.3; SNMNs SHR, 1.5; 95% CI, 0.7 to 3.6).

CONCLUSION

Our results demonstrate that neuroblastoma survivors have an elevated risk of developing SMNs and a high risk of SNMNs.
131I
MIBG may be a treatment-related risk factor for the development of SMN and SNMN, which needs further validation. Our results emphasize the need for awareness of subsequent neoplasms and the importance of follow-up care.
A disrupted learning mechanism in standard quantum systems followed by their self-organizing process
Authors: Shushi Tomer 
Published: October 2024

Abstract
Recently, the fusion between quantum mechanics and machine learning has gained much attention, where classical machine learning algorithms are adapted for quantum computers to significantly amplify data analysis by leveraging the unique effects of quantum reality. In this short paper, by focusing on the quantum trajectories of particles, we find that under general requirements, quantum systems follow a disrupted version of the gradient descent model, a basic machine learning algorithm, where the learning is distorted due to the self-organizing process of the quantum system. Such a learning process is possible only when we assume dissipation, i.e., that the quantum system is open. The friction parameter determines the nonlinearity of the quantum system. We then provide an empirical demonstration of the proposed model.
Navigating Federal and State Laws Regarding the Prescription of Opioids
Authors: Kass Joseph S. , Rose Rachel V. 
Published: October 2024

ABSTRACT
Since 2000, the opioid epidemic has claimed the lives of more than 500,000 people and policies regarding the prescription of opioids for chronic pain have undergone drastic changes. While neurologists account for a small number of overall opioid prescriptions, they may treat patients on opioids, prescribed by other physicians or obtained illicitly, and need to be aware of the latest practice guidelines and the legal regime regulating opioid prescriptions.
Principles of Pain Management
Authors: Hogans Beth B. 
Published: October 2024

ABSTRACT

Objective
This article introduces the general principles of assessing, diagnosing, and managing pain relevant to neurologic practice.

Latest Developments
Scientific understanding of and clinical practices related to pain and pain management are advancing. The field is remarkable for the diversity of health professions engaged in this effort, including physicians, scientists, psychologists, pharmacists, and many others. Pain classification is transforming with pending changes to the International Classification of Diseases diagnostic coding system, and pain assessment has moved toward consistent application of the biopsychosocial model. The diagnosis of pain has continued to become more sophisticated with the development of additional testing modalities, clearer classification systems, and diagnostic criteria. Pain management requires both pharmacologic and nonpharmacologic elements; systematic review evidence for both of these and interventional and surgical management are increasingly available. The context of treatment remains important given the impact of social determinants of health and limitations of access to diagnostic and treatment resources. Due to global and interprofessional collaborations as well as new research funding, the outlook is positive.

Essential Points
Pain is a protean experience for humans; functional MRI (fMRI) and other research modalities show that pain perception is highly multifocal, and modulation occurs at many nervous system levels. Neurologists bring special skills to pain evaluation and management, are well equipped to appreciate both the focal and diffuse nature of pain, and can envision how pain attenuates sleep, cognitive function, mobility, motivation, and social connection. By operationalizing expert knowledge of the nervous system, implementing relevant therapies, and collaborating with diverse health professions to manage pain, neurologists can succeed at and find meaning in optimizing patient outcomes.
Pediatric Pain
Authors: Lebel Alyssa , Schuster Nathaniel M. 
Published: October 2024

ABSTRACT

OBJECTIVE
This article reviews pain disorders encountered in pediatric neurology practice and provides current information regarding the assessment and treatment of pediatric chronic pain.

LATEST DEVELOPMENTS
Data about pediatric pain management remain sparse, owing to a dearth of controlled trials and longitudinal studies in these patients. However, the field of pain management and understanding of central and peripheral pain processing has expanded to allow more effective treatment of a broad group of children and adolescents with pain associated with neurologic disease. Neuroimaging visualizes sensory and nonsensory systems, and genetic markers of sensitivity and disease may guide specific therapy. The concept of central sensitization in chronic pain disorders has supported the development of multidisciplinary paradigms for the comprehensive care of these patients.

ESSENTIAL POINTS
Pain involves sensory activation and central nervous system modulation in pediatric patients. Pediatric neurologists should be prepared to define, investigate, and treat pain disorders in this complex patient population. Appropriate interventions during childhood may attenuate or prevent chronic pain later in life. Current interventions include behavioral, physical, and pharmacologic approaches, as well as potential noninvasive tools for neuromodulation. Research is progressing in sensory measurement, neuroimaging, genetics, and neuroinflammation to guide future targeted therapies.
CENP-C-targeted PLK-1 regulates kinetochore function in C. elegans embryos
Authors: Bel Borja Laura , Taylor Samuel J. P. , Soubigou Flavie , Pelisch Federico 
Published: October 2024

ABSTRACT
Polo-like kinase 1 (PLK-1) is present in centrosomes, the nuclear envelope and kinetochores and plays a significant role in meiosis and mitosis. PLK-1 depletion or inhibition has severe consequences for spindle assembly, spindle assembly checkpoint (SAC) activation, chromosome segregation and cytokinesis. BUB-1 targets PLK-1 to the outer kinetochore and, in mammals, the inner kinetochore PLK1 targeting is mediated by the constitutive centromere associated network (CCAN). BUB-1-targeted PLK-1 plays a key role in SAC activation and has a SAC-independent role through targeting CDC-20. In contrast, whether there is a specific, non-redundant role for inner kinetochore targeted PLK-1 is unknown. Here, we used the Caenorhabditis elegans embryo to study the role of inner kinetochore PLK-1. We found that CENP-C, the sole CCAN component in C. elegans and other species, targets PLK-1 to the inner kinetochore during prometaphase and metaphase. Disruption of the CENP-C–PLK-1 interaction leads to an imbalance in kinetochore components and a defect in chromosome congression, without affecting CDC-20 recruitment. These findings indicate that PLK-1 kinetochore recruitment by CENP-C has at least partially distinct functions from outer kinetochore PLK-1, providing a platform for a better understanding of the different roles played by PLK-1 during mitosis.
A Review of Cradle-to-Gate Greenhouse Gas Emission Factors for Canada’s Harvested Wood Products
Authors: Desjardins Sabrina M. , Chen Jiaxin , Ter-Mikaelian Michael T. 
Published: October 2024

Abstract
With the previous decade’s (2010 through 2019) greenhouse gas emissions remaining the highest on record, focus on emissions mitigation efforts is paramount. Harvested wood products (HWPs) can store carbon for various timespans depending on the product and its end uses. Life cycle inventories (LCIs) are the base for life cycle analyses (LCAs), as they represent a comprehensive catalogue of the raw data essential to complete an LCA. However, most LCI documentation is in the form of case studies of different types of HWPs, with varying LCI results that reflect varied system boundaries, case-specific conditions, and assumptions. Our goal was to conduct a systematic literature review to evaluate, analyze, and synthesize previously reported Canadian HWP data and to initiate a Canadian database based on reported cradle-to-gate HWP emission factors. HWPs were categorized as lumber, traditional structural panels, mass timber, nonstructural panels, and wood pellets. Based on our analysis, we found that softwood lumber produced the lowest cradle-to-gate emission factor (61.99 kg of CO2 equivalent [CO2eq] per m3 HWP) while I-joists produced the highest (218.55 kg of CO2eq per m3 HWP). Resource extraction emissions accounted for most of the overall emissions for softwood lumber, oriented strand board, cross-laminated timber, and glue-laminated timber. Meanwhile, manufacturing accounted for most of the emissions for plywood, I-joists, cellulosic fiberboard, particleboard, and wood pellets. Substantial gaps exist in published LCI data and, when possible, publishing detailed LCI data is encouraged to support additional HWP life cycle analyses.
Predictors of antenatal care services utilization by pregnant women in Afghanistan: Evidence from the Afghanistan Health Survey 2018
Authors: Stanikzai Muhammad Haroon , Tawfiq Essa , Suwanbamrung Charuai , Wasiq Abdul Wahed , Wongrith Paleeratana 
Published: October 2024

Background
Poor utilization of maternal healthcare services remains a public health concern in most low and middle-income countries (LMICs), including Afghanistan. Late, inadequate, or no utilization of antenatal care (ANC) services pose a great concern.

Objectives
This study assessed the predictors of ANC service utilization among Afghan pregnant women, using secondary data from the Afghanistan Health Survey 2018 (AHS2018).

Methods
In this study, we used data from 10,855 ever-married women, aged 13–49 years, who gave birth in the two years prior to the survey or those women who were currently pregnant. The outcome variable was defined as a binary variable on ANC utilization (≥1 ANC visit equals 1, and zero otherwise). We fitted a binary logistic regression model and examined the associations between ANC utilization and explanatory variables, providing findings based on univariate and multivariate analysis. STATA version 17 was employed for the data analysis.

Results
Overall, 63.2%, 22.0%, and 3.1% of women had at least one ANC visit, ≥4 ANC visits, and ≥8 ANC visits during their last pregnancy, respectively. Higher odds of ANC utilization were observed in women who could read and write (AOR = 1.55, 95%CI: 1.36–1.77), whose husbands could read and write (AOR = 1.42, 95%CI: 1.29–1.56), who knew 1 sign (AOR = 1.93, 95%CI: 1.74–2.14), 2 signs (AOR = 2.43, 95%CI: 2.17–2.71) and ≥ 3 signs (AOR = 1.55, 95%CI: 1.36–1.77) of complicated pregnancy, and those with almost daily access to radio (AOR = 1.19, 95%CI: 1.08–1.327) and TV (AOR = 1.92, 95%CI: 1.73–2.13). We also found that women with one (AOR = 0.64, 95%CI: 0.49–0.84) and more than one (AOR = 0.60, 95%CI: 0.47–0.76) parity status, those for whom in-laws and others decided for their birthplace [(AOR = 0.85, 95%CI: 0.74–0.97) and (AOR = 0.63, 95%CI: 0.55–0.72), respectively], and those that resided in rural areas (AOR = 0.89, 95%CI: 0.79–1.00) had reduced odds of ANC utilization.

Conclusion
ANC service utilization is unacceptably low by pregnant women in Afghanistan. The predictors of ANC utilization identified by the study should be considered in the design of future interventions to enhance antenatal care utilization in Afghanistan.
Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy
Authors: Pang Yuanying , Singh Ankita , Chakraborty Shayok , Charness Neil , Boot Walter R. , He Zhe 
Published: October 2024

Background and objectives
This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.

Research design and method
Using machine learning algorithms including logistic regression, ridge regression, support vector machines, classification trees, and random forests, we predicted adherence from weeks 3 to 12. Predictors included game performance metrics in the first two weeks and baseline measures. These models’ robustness and generalizability were tested through five-fold cross-validation.

Results
The findings indicated that game performance measures were superior to baseline characteristics in predicting adherence. Notably, the games “Supply Run,” “Ante Up,” and “Sentry Duty” emerged as significant adherence predictors. Key performance indicators included the highest level achieved, total game sessions played, and overall gameplay proportion. A notable finding was the negative correlation between initial high achievement levels and sustained adherence, suggesting that maintaining a balanced difficulty level is crucial for long-term engagement. Conversely, a positive correlation between the number of sessions played and adherence highlighted the importance of early active involvement.

Discussion and implications
The insights from this research inform just-in-time strategies to promote adherence to cognitive training programs, catering to the needs and abilities of the aging population. It also underscores the potential of tailored, gamified interventions to foster long-term adherence to cognitive training.
Combined use of Bacteria and Enzymes in the Degradation of Polymer Materials
Authors: Lisewska Daria , Mazuryk Alicja , Janczak Katarzyna 
Published: October 2024

The development of the plastics industry, pro-ecological directives and environmental problems related to the decomposition of biodegradable plastics create necessity to develop a way to properly manage waste from materials that should not be deposited in the environment.
A bioproduct has been developed to be used for accelerating the biodegradation of polymer materials. The bioproduct includes carefully selected microorganisms and enzymes. It has been observed that metabolic activity of selected bacteria increases significantly in the presence of plastic material, causing degradative changes. In addition, enzymes were used that also stimulate the decomposition of polymer materials. Impact of bacteria and enzymes on polymer biodegradation was analyzed using different methods: BOD, mass loss, SEM-EDX and FTIR-ATR. Also the effect on plant growth was examined.
Five bacterial strains were selected as the active ingredients of the bioproduct, including two bacterial strains from the designated collection and three isolated from environment. Four hydrolytic enzymes have been selected that have the potential to accelerate the decomposition of polymer materials.

Keywords: bacteria, enzymes, biodegradation, polymer materials
CO2 Capture via Adsorption Using Silica Gel
Authors: Pérez-Rial Leticia , Alfonsín Víctor , Maceiras Rocío , Feijoo Jorge , P. Vallejo Javier 
Published: October 2024

This paper investigates the potential of silica gel as an effective adsorbent for CO2 capture. The study explores the adsorption mechanisms, the efficiency of CO2 uptake, and some factors influencing the adsorption capacity of silica gel. The experimental results demonstrate the significant potential of silica gel for CO2 adsorption under various conditions. The adsorption capacity was found to be highly dependent on parameters such as gas flow rate and the particle size of silica gel. The findings suggest that with optimized conditions, silica gel could be a viable material for reducing atmospheric CO2 levels. This research contributes to the development of sustainable and efficient technologies for mitigating climate change through carbon dioxide capture and storage.

Keywords: CO2 capture, adsorption, efficiency, silica gel
Accelerators and Decelerators of Scaleup Growth: Key Factors and Circumstances for Sustainable Expansion
Authors: Slávik Štefan , Mišúnová Hudáková Ivana , Bednár Richard , Hajduová Zuzana 
Published: October 2024

Scaleup is the development phase of a start-up that has solved its initial problems and is facing the challenge of achieving significant business rise and growth. However, it is still a small company whose growth is not easy. The goal of the research is to deepen and expand knowledge about the circumstances and factors that accelerate and/or slow down its growth. The source of new knowledge is field research on a sample of 97 scaleups. Researchers have personal experience from guided interviews with scaleup founders, which they recorded in the questionnaire. Respondents' statements were analyzed using critical discourse analysis (CDA) with the support of artificial intelligence. The result of the research is the identification of external growth accelerators, external growth decelerators, internal growth accelerators, and internal growth decelerators of scaleups. Each group of factors influencing growth contains five factors, the order of which corresponds to the weight of their positive or negative impact on growth. In addition, other accompanying circumstances affecting growth were similarly identified. The acquired knowledge can be used to evaluate the growth possibilities of a particular scaleup and to implement corrective measures according to the external and internal possibilities of the company. The research revealed an original and complex structure of factors and circumstances that influence the growth of scaleups and thus contribute to improving strategic thinking in this type of enterprise.

Keywords: scaleup, accompanying circumstances of growth, external and internal growth accelerators, external and internal growth decelerators.
The impact of financial policy on the sustainable development of business entities in post-pandemic Georgia
Authors: Katamadze Giorgi 
Published: October 2024

Financial institutions form a strong link in the chain of business operations of the modern world; in addition, they may also be thought of as a binder. During the Covid -19 pandemic the financial institutions all over the world, and in Georgia as well, faced a number of problems and challenges: on one hand, there was a large number of consumers and mortgage loans to individuals, and on the other hand, loans issued to business entities for working capital and fixed assets, real estate purchase and other purposes turned out to form the major part of their loan portfolio. The pandemic has led the natural persons, as well as legal entities into a force majeure situation, while the decisions of financial institutions were crucial for their viability. However, the purpose of the study is to consider the impact of lending policies on business entities and their development processes.
The paper discusses the policies of financial institutions during the Covid-19 pandemic and the post-pandemic period, the chronology of the decisions made and the outcomes of such decisions based on available official data, also the impact of lending on business entities and identifies modern trends and challenges.
The research methodology was determined based on the research objectives and included the following methods: the paper analyzes the decisions made by the National Bank of Georgia before and after the pandemic, in relation with the official data on loans and financial transactions that the National Bank generated.
Within the framework of the research, in order to determine the level of influence of the financial institutions on current economic processes in Georgia, the paper analyzes the results of their activities, which are based on official data from the National Bank of Georgia and empirical material collected.

Keywords: Financial institutions; Lending policy; National Bank of Georgia; Post-pandemic economic policy;
JEL Classification: G2; G21; E5; E58; E6;
Acknowledgement: „This work was supported by Shota Rustaveli National Science Foundation of Georgia, (SRNSFG) Grant number YS-22-548, Project title - “The crisis of small and medium business subjects and its prevention in the post-pandemic period in Georgia“.
Cultural Heritage and Creative Industries in Ensuring Sustainable Development: Ukrainian Experience
Authors: Hurova Inna , Dodonov Roman , Matvieiev Vitalii , Binkivska Kristina , Kondratyuk-Antonova Tetyana , Strokov Igor 
Published: October 2024

This article investigates the instrumental role of cultural heritage and creative industries in driving sustainable development, drawing empirical insights from the Ukrainian context. Anchored in UNESCO's normative frameworks, the study elucidates how preserving tangible and intangible cultural assets fosters identity formation, social cohesion, and economic vitality, thereby catalysing progress across the triple bottom line of sustainability. Complementing a comprehensive literature review with primary data from a student survey, the analysis spotlights Ukraine's initiatives to integrate heritage and creativity into national development strategies, spearheaded by the Ukrainian Cultural Foundation. Amidst Russia's ongoing assault on Ukrainian culture, the research underscores the urgency of safeguarding cultural legacies as cornerstones of societal resilience and identity preservation.
Keywords: sustainable societal development, culture, cultural heritage, creative industries, Ukrainian Cultural Foundation, museum