bluuebunny/crossref_metadata_2025_split huggingface dataset:
The MASCC COG-IMPACT: An unmet needs assessment for cancer-related cognitive impairment impact developed by the Multinational Association of Supportive Care in Cancer
Authors: Haywood Darren , Chan Alexandre , Chan Raymond J. , Baughman Frank D. , Dauer Evan , Dhillon Haryana M. , Henneghan Ashley M. , Lawrence Blake J. , Lustberg Maryam B. , O’Connor Moira , Vardy Janette L. , Rossell Susan L. , Hart Nicolas H. 
Published: January 2025

Abstract

Purpose
Cancer-related cognitive impairment (CRCI) can have a profound impact on the lives of cancer survivors. A multitude of subjective and objective assessment tools exist to assess the presence and severity of CRCI. However, no purpose-built tool exists to assess the unmet needs of cancer survivors directly relating to CRCI. This paper details the development and initial validation of the Multinational Association of Supportive Care in
Cancer - Unmet Needs Assessment of Cancer-Related Cognitive Impairment Impact (the MASCC COG-IMPACT).

Methods
A multistep mixed-methods measurement development and validation approach was taken with a strong emphasis on co-design. Qualitative interviews were conducted with cancer survivors (n = 32) and oncology health professionals (n = 19), followed by a modified Delphi survey with oncology health professionals (n = 29). Cognitive interviews with cancer survivors (n = 22) over two rounds were then conducted to finalise the penultimate version of the unmet needs assessment tool for CRCI. Four-hundred and ninety-one (n = 491) cancer survivors then completed the MASCC COG-IMPACT and other established measures to inform structural, reliability, validity, acceptability, appropriateness, and feasibility analyses.

Results
The final MASCC COG-IMPACT is a 55-item and eight subscale tool including two indices: “difficulties” and “unmet needs”. The MASCC COG-IMPACT was found to have strong structural validity, convergent validity, discriminant validity, internal consistency, and test–retest reliability. The MASCC COG-IMPACT was also found to be highly acceptable, appropriate, and feasible.

Conclusion
The MASCC COG-IMPACT may facilitate optimal care and referral in line with a cancer survivor’s CRCI-related difficulties and unmet needs. The MASCC COG-IMPACT may also be used to explore factors and contributors to CRCI-related difficulties and unmet needs. Overall, the MASCC COG-IMPACT is a highly reliable and valid tool for the assessment of CRCI-related difficulties and unmet needs in both clinical and research settings. The MASCC COG-IMPACT and supporting materials can be accessed on the MASCC webpage or via the MASCC COG-IMPACT Open Science Framework webpage (https://osf.io/5zc3a/).
The molecular mechanism of nitric oxide in memory consolidation and its role in the pathogenesis of memory-related disorders
Authors: Bahdar Zainab I. , Abu-El-Rub Ejlal , Almazari Rawan , Alzu’bi Ayman , Al-Zoubi Raed M. 
Published: January 2025

Abstract
Memory is a dynamic process of encoding, storing, and retrieving information. It includes sensory, short-term, and long-term memory, each with unique characteristics. Nitric oxide (NO) is a biological messenger synthesized on demand by neuronal nitric oxide synthase (nNOS) through a biochemical process initiated by glutamate binding to NMDA receptors, causing membrane depolarization and calcium influx. NO is known to regulate many signaling pathways including those related to memory consolidation. To throw light on the precise molecular mechanism of nitric oxide (NO) in memory consolidation and the possibility of targeting NO pathways as a therapeutic approach to scale down cognitive impairments. We conducted a search of the PubMed MEDLINE database, maintained by the US National Library of Medicine. The search strategy utilized Medical Subject Headings (MeSH) terms, including “nitric oxide and memory,” “nitric oxide synthesis in the brain,” “nitric oxide and Alzheimer’s,” “nitric oxide and Parkinson’s,” and “nitric oxide, neurodegenerative disorders, and psychiatric disorders.” Additionally, relevant keywords such as “nitric oxide,” “memory,” and “cognitive disorders” were employed. We included the most recent preclinical and clinical studies pertinent to the review topic and limited the selection to articles published in English. NO exerts its role in memory consolidation by diffusing between neurons to promote synaptic plasticity, especially long-term potentiation (LTP). It acts as a retrograde messenger, neurotransmitter release modulator, and synaptic protein modifier. The dysregulation of NO balance in the brain can contribute to the pathogenesis of various neurodegenerative diseases, particularly Alzheimer’s, Parkinson’s, and psychiatric disorders. The disturbance in NO signaling is strongly correlated with synaptic signaling dysfunction and oxidative stress. NO plays a fundamental role in memory consolidation, and its dysregulation contributes to cognitive impairment—a hallmark of numerous neurodegenerative and psychiatric disorders. Future research should aim to deepen our understanding of the mechanisms underlying NO’s involvement in memory consolidation and to explore therapeutic strategies targeting the NO pathway to mitigate cognitive decline in affected individuals.
Comparison of low-level laser therapy versus neuromuscular electrical nerve stimulation at hemiplegic shoulder pain and upper extremity functions
Authors: Başaran Pınar Özge , Büyükşireci Dilek Eker 
Published: January 2025

Abstract
This study aimed to assess and compare the effectiveness of adding low-level laser therapy (LLLT) and neuromuscular electrical nerve stimulation (NMES) to conventional physical therapy exercises, for stroke patients with hemiplegic shoulder pain (HSP). Seventy-five stroke patients with shoulder pain were included in this prospective randomized controlled study. Participants were divided into three groups. All patients underwent a multidisciplinary rehabilitation program five days a week for four weeks for a total of twenty sessions with classical physical therapy exercises. In addition, Group 1 received LLLT for three days a week for four weeks. Group 2 received NMES for twenty minutes for five days a week for four weeks. Group 3 control group received classical physical therapy exercises. Brunnstrom (BRS) upper extremity, BRS Hand, Barthel index, Shoulder Pain and Disability Index (SPADI), Fugl Meyer, Modified Ashworth Scale (MAS) and visual analog scale (VAS) were assessed, prior to the treatment and at the end of four weeks. After treatment, statistically significant improvements were found in BRS upper extremity, BRS Hand, Barthel index, SPADI, Fugl Meyer and VAS in all three groups (all p < 0.005). When the groups were compared, significant improvements in Bartel, SPADI and VAS in the LLLT and NMES groups than the control group(all p < 0.005), however the LLLT and NMES groups were statistically similar. LLLT, NMES and conventional exercise therapy have demonstrated efficacy in treating HSP and improving upper extremity functions and disability. Laser and NMES were more effective while the effects of laser and NMES were similar.
On random coefficient INAR processes with long memory
Authors: Beran Jan , Droullier Frieder 
Published: January 2025

Abstract
We consider random coefficient INAR(1) processes with a strongly dependent latent random coefficient process. It is shown that, in spite of its conditional Markovian structure, the unconditional process exhibits long-range dependence. Short-term prediction and estimation of parameters involved in the prediction are considered. Asymptotic rates of convergence are derived.
Differentially private Choquet integral: extending mean, median, and order statistics
Authors: Torra Vicenç 
Published: January 2025

Abstract
The Choquet integral is a well known aggregation function that generalizes several other well known functions. For example, appropriate parameterizations reduce a Choquet integral to the arithmetic mean, the weighted mean, order statistics, and linear combination of order statistics. This integral has been used extensively in data fusion. We find applications in computer science, economy, and decision making. Formally, Choquet integrals integrate a function (the data to be aggregated) with respect to a non-additive measure also called a fuzzy measure (which represents the background knowledge on the information sources that provide the data to be aggregated). In this paper we propose a privacy preserving Choquet integral which satisfies differential privacy. Then, we study the sensitivity of the Choquet integral with respect to different types of fuzzy measures. Our results generalize previous knowledge about the sensitivity of minimum, maximum, and the arithmetic mean.
A difference finite element method based on nonconforming finite element methods for 3D elliptic problems
Authors: Song Jianjian , Sheen Dongwoo , Feng Xinlong , He Yinnian 
Published: January 2025

Abstract
In this paper, a class of 3D elliptic equations is solved by using the combination of the finite difference method in one direction and nonconforming finite element methods in the other two directions. A finite-difference (FD) discretization based on

$$P_1$$

P
1

-element in the z-direction and a finite-element (FE) discretization based on

$$P_1^{NC}$$

P
1

NC

-nonconforming element in the (x, y)-plane are used to convert the 3D equation into a series of 2D ones. This paper analyzes the convergence of

$$P_1^{NC}$$

P
1

NC

-nonconforming finite element methods in the 2D elliptic equation and the error estimation of the

$${H^1}$$

H
1

-norm of the DFE method. Finally, in this paper, the DFE method is tested on the 3D elliptic equation with the FD method based on the

$$P_1$$

P
1

element in the z-direction and the FE method based on the Crouzeix-Raviart element, the

$$P_1$$

P
1

linear element, the Park-Sheen element, and the

$$Q_1$$

Q
1

bilinear element, respectively, in the (x, y)-plane.
Assessing spatially explicit long-term landscape dynamics based on automated production of land category layers from Danish late nineteenth-century topographic maps in comparison with contemporary maps
Authors: Levin Gregor , Groom Geoff , Svenningsen Stig Roar 
Published: January 2025

Abstract
Historical topographical maps contain valuable, spatially and thematically detailed information about past landscapes. Yet, for analyses of landscape dynamics through geographical information systems, it is necessary to “unlock” this information via map processing. For two study areas in northern and central Jutland, Denmark, we apply object-based image analysis, vector GIS, colour image segmentation, and machine learning processes to produce machine-readable layers for the land use and land cover categories forest, wetland, heath, dune sand, and water bodies from topographic maps from the late nineteenth century. Obtained overall accuracy was 92.3%. A comparison with a contemporary map revealed spatially explicit landscape dynamics dominated by transitions from heath and wetland to agriculture and forest and from heath and dune sand to forest. However, dune sand was also characterised by more complex transitions to heath and dry grassland, which can be related to active prevention of sand drift but that can also be biased by different categorisations of dune sand between the historical and contemporary data. We conclude that automated production of machine-readable layers of land use and land cover categories from historical topographical maps offers a resource-efficient alternative to manual vectorisation and is particularly useful for spatially explicit assessments of long-term landscape dynamics. Our results also underline that an understanding of mapped categories in both historical and contemporary maps is critical to the interpretation of landscape dynamics.

Graphical abstract
The cardiac response of the goldfish Carassius auratus to environmental hypoxia: from hemodynamics to mitochondria
Authors: Filice Mariacristina , Mazza Rosa , Gattuso Alfonsina , Caferro Alessia , Napolitano Gaetana , Fasciolo Gianluca , Venditti Paola , Imbrogno Sandra , Cerra Maria Carmela 
Published: January 2025

Abstract
Under low O2, the heart of Carassius auratus (goldfish) shows an enhanced hemodynamics. This is observed in ex vivo cardiac preparations from animals acclimated to both normoxia and short-term (4 days) moderate hypoxia and perfused for 90 min with a hypoxic medium. Under short-term hypoxia, this is associated with a higher ventricular muscularity and an expanded mitochondrial compartment. To date, little is known about the putative influence of hypoxia on the mitochondrial contribution to cardiac energy metabolism. Similarly, it remains unexplored whether the exposure to environmental low O2 affects the cardiac response to preload increases (i.e., the Frank–Starling mechanism). We here observed, on ex vivo isolated and perfused goldfish heart, that 20 days of exposure to moderate water hypoxia are accompanied by a potentiated cardiac performance, analyzed as stroke volume, cardiac output, and stroke work. The sensitivity to preload increases significantly improved after 20 days of hypoxia, while it is similar to normoxia after 4 days of exposure. This suggested a time-dependent response. Mitochondrial O2 consumption initially decreased during short-term hypoxia but returned to normoxia-like levels after 20 days of exposure. Biomolecular analyses of ventricular extracts revealed a time-dependent regulation of key proteins involved in the mitochondrial biogenesis, including PGC1α, NRF1/2, and TFAM, as well as cytochrome c. Additionally, mitochondrial DNA content was notably increased after 20 days of hypoxia. Our data revealed that, when challenged by chronic environmental hypoxia, the goldfish heart improves its pumping behavior under both basal and loading-stimulated conditions. This is accompanied by a mitochondrial remodeling which likely supports adequate energy supply for the working myocardium.
Techno-pedagogic discourse and the online learning assetization regime
Authors: Ayers David F. 
Published: January 2025

Abstract
Research on academic capitalism has critiqued the commodification of knowledge, but it has not critiqued assetization. The difference between commodification and assetization is more than a technical distinction. Extracting value from assets requires a different regime of coordination than what is required for extracting value from commodities. Through an analysis of 132 texts related to the online course review process at 16 research universities in the USA, I propose and problematize an online learning assetization regime which transforms discipline-based knowledge into digital content that can be owned, controlled, and managed as a university asset. This process potentially alienates faculty from pedagogical decision making; entices, beguiles, or coerces faculty to transfer intellectual property rights to the university; and shifts faculty from structures of academic governance to the private law of contracts. I show how techno-pedagogic discourse mystifies the online learning assetization regime even as it exhorts faculty and staff to accommodate it.
Examining Faculty and Student Perceptions of Generative AI in University Courses
Authors: Kim Junghwan , Klopfer Michelle , Grohs Jacob R. , Eldardiry Hoda , Weichert James , Cox Larry A. , Pike Dale 
Published: January 2025

Abstract
As generative artificial intelligence (GenAI) tools such as ChatGPT become more capable and accessible, their use in educational settings is likely to grow. However, the academic community lacks a comprehensive understanding of the perceptions and attitudes of students and instructors toward these new tools. In the Fall 2023 semester, we surveyed 982 students and 76 faculty at a large public university in the United States, focusing on topics such as perceived ease of use, ethical concerns, the impact of GenAI on learning, and differences in responses by role, gender, and discipline. We found that students and faculty did not differ significantly in their attitudes toward GenAI in higher education, except regarding ease of use, hedonic motivation, habit, and interest in exploring new technologies. Students and instructors also used GenAI for coursework or teaching at similar rates, although regular use of these tools was still low across both groups. Among students, we found significant differences in attitudes between males in STEM majors and females in non-STEM majors. These findings underscore the importance of considering demographic and disciplinary diversity when developing policies and practices for integrating GenAI in educational contexts, as GenAI may influence learning outcomes differently across various groups of students. This study contributes to the broader understanding of how GenAI can be leveraged in higher education while highlighting potential areas of inequality that need to be addressed as these tools become more widely used.
Temporal Tendencies: Exploring the Impact of Chronotype Timing on Youth Depression Risk
Authors: Haraden Dustin A. , McCormick Kathleen C. , Griffith Julianne M. , Hankin Benjamin L. 
Published: January 2025

Abstract
Developmental changes in youth sleep preferences (chronotype) and pubertal development are consequential for youth risk for depression. Previous research has identified individual differences in chronotype in risk for psychopathology. However, little is known regarding how the timing of chronotype may confer risk in youth. This study addressed this gap by examining associations between chronotypal timing and symptoms of depression in youth. Community youth (N = 155;

$${M}_{age}$$

M

age

=12.7) completed self-report measures of chronotype, pubertal status and depression every six months for a period of one year (three assessment points). Regression analyses showed that chronotypal timing predicted change in depressive symptoms across six months (b = -0.66, p = 0.019), but not across any other timeframe. Findings suggested that youth experiencing more of a morning preference compared to same-aged peers were at increased risk for later depression across six months. Chronotypal timing continued to predict changes in symptoms of depression controlling for gender (b = -0.63, p = 0.023) and pubertal timing (b = -0.72, p = 0.012). These findings suggest that chronotypal timing is prospectively related to changes in youth symptoms of depression. Results indicate that attention to the timing of normative changes in chronotype is warranted, in addition to mean-level differences.
Lithium compromises the bioenergetic reserve of cardiomyoblasts mitochondria
Authors: Grman Marian , Balazova Maria , Horvath Anton , Polcicova Katarina , Ondacova Katarina , Stepanovsky Jakub , Sevcikova Tomaskova Zuzana 
Published: January 2025

Abstract
Lithium is used in the long-term treatment of bipolar disorder, exhibiting a beneficial effect on the neuronal cells. The concentration of lithium in the blood serum can vary and can easily approach a level that is related to cardiotoxic adverse effects. This is due to its narrow therapeutic index. In this study, we investigated the effect of higher than therapeutic dose of lithium. Rat cardiomyoblast cells were treated with 2 mM LiCl for 48 h, after which the mitochondrial parameters of the cells were analyzed. Lithium exposure reduced maximal respiratory capacity by diminishing reserve respiratory capacity (RRC), linked to a decrease in complex I (NADH dehydrogenase) activity and elevated superoxide radical levels. In addition, lithium treatment altered the composition of cellular membranes, including mitochondrial cardiolipin, a lipid essential for mitochondrial function. These findings suggest that impaired complex I activity, oxidative stress, and cardiolipin depletion collectively impair the ability of cells to meet high energy demands.
Variability in the impact of linear transportation infrastructures on gene flow in French wild ungulate populations
Authors: Dispan de Floran L. , Mergey M. , Galan M. , Vitte I. , Jouanillou A. , Le Barh M. , Guinard E. , Lesbarrères D. , Helder R. 
Published: January 2025

Abstract

Context
Linear Transportation Infrastructures (LTIs) are among the largest factors responsible for landscape fragmentation, in turn increasing population isolation. In this context, studies have mainly focused on a single species’ response to barrier elements and mitigation thereof. Yet, the implementation of conservation strategies to restore landscape connectivity may be challenging when multi-specific responses are not measured and fully considered.

Objectives
We aimed to assess the effect of two different types of LTIs, a fenced highway and a navigation canal on gene flow in three ungulate species in Northeastern France.

Methods
We genotyped 98 red deer (C. elaphus), 120 wild boars (S. scrofa) and 140 roe deer (C. capreolus) with species-specific microsatellite markers from 3 sampling sites located on either side of both LTIs considered in the study area. We assessed the continuity of gene flow using Bayesian clustering methods and a mapping approach to determine inter-individual genetic dissimilarity in relation to landscape characteristics.

Results
Our study showed different impacts of LTIs on the gene flow of species belonging a priori to the same functional group. Genetic differentiation among red deer and wild boar sampling units was observed on either side of the highway, but no such differentiation was identified for roe deer. However, no genetic structuring was associated with the presence of the canal in any species.

Conclusions
The impact of LTIs on gene flow in large species results from the structural characteristics of the infrastructure, and our study shows that mitigation measures should consider species-specific behaviors to facilitate the use of crossing structures and thus ensure gene flow across ILTs.
Random walks, Hurst exponent, and market efficiency
Authors: Pernagallo Giuseppe 
Published: January 2025

Abstract
Market efficiency assumes that prices in financial markets are perfectly informative and, therefore, it is not possible to design trading strategies that outperform the market. The concept of efficiency has important implications for financial stability and, consequently, for financial policies. If asset returns exhibit persistent or anti-persistent behavior, then predictability based on past returns might be possible, which would be a clear violation of the weak form of efficiency. Many studies rely on the Hurst exponent to evaluate the level of memory of financial returns, and the purpose of this paper is to show that long memory or anti-persistence of financial returns is not incompatible with the random walk model or the efficient market hypothesis (EMH). The use of the Hurst exponent to demonstrate the inefficiency of financial markets using common estimators is troublesome, especially when applied to financial returns, since values of

$$\hat{H} \ne 0.5$$

H
^

≠
0.5

are not evidence against the random walk model or the EMH. Moreover, the high variability of Hurst exponent estimates and their dependence on the chosen algorithm should motivate careful use of this tool. This study proposes a simple theoretical explanation and an extensive simulation study to show that

$$\hat{H} \ne 0.5$$

H
^

≠
0.5

for financial returns is perfectly compatible with the random walk model. As a robustness check, both the traditional rescaled range and the wavelet lifting algorithms are used. Applications to real data are also discussed to show that the empirical values of the Hurst exponent are in the range suggested by the simulations, providing evidence that over-reliance on the Hurst exponent could lead to erroneous rejection of the random walk model. Specifically, the paper presents an application to the daily returns of stock market indices (DJIA and S&P 500) over a period of more than 30 years and cryptocurrencies (Bitcoin and Ethereum) over a period of more than 5 years.