bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial iTME analysis of KRAS mutant NSCLC and immunotherapy outcome
Authors: Zhao Dan , Li Haiqing , Mambetsariev Isa , Mirzapoiazova Tamara , Chen Chen , Fricke Jeremy , Wheeler Deric , Arvanitis Leonidas , Pillai Raju , Afkhami Michelle , Chen Bihong T. , Sattler Martin , Erhunmwunsee Loretta , Massarelli Erminia , Kulkarni Prakash , Amini Arya , Armstrong Brian , Salgia Ravi 
Published: June 2024

AbstractWe conducted spatial immune tumor microenvironment (iTME) profiling using formalin-fixed paraffin-embedded (FFPE) samples of 25 KRAS-mutated non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs), including 12 responders and 13 non-responders. An eleven-marker panel (CD3, CD4, CD8, FOXP3, CD68, arginase-1, CD33, HLA-DR, pan-keratin (PanCK), PD-1, and PD-L1) was used to study the tumor and immune cell compositions. Spatial features at single cell level with cellular neighborhoods and fractal analysis were determined. Spatial features and different subgroups of CD68+ cells and FOXP3+ cells being associated with response or resistance to ICIs were also identified. In particular, CD68+ cells, CD33+ and FOXP3+ cells were found to be associated with resistance. Interestingly, there was also significant association between non-nuclear expression of FOXP3 being resistant to ICIs. We identified CD68dim cells in the lung cancer tissues being associated with improved responses, which should be insightful for future studies of tumor immunity.
Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry
Authors: Harnett Nathaniel G. , Fani Negar , Rowland Grace , Kumar Poornima , Rutherford Saige , Nickerson Lisa D. 
Published: June 2024

AbstractThe inequitable distribution of economic resources and exposure to adversity between racial groups contributes to mental health disparities within the United States. Consideration of the potential neurodevelopmental consequences, however, has been limited particularly for neurocircuitry known to regulate the emotional response to threat. Characterizing the consequences of inequity on threat neurocircuitry is critical for robust and generalizable neurobiological models of psychiatric illness. Here we use data from the Adolescent Brain and Cognitive Development Study 4.0 release to investigate the contributions of individual and neighborhood-level economic resources and exposure to discrimination. We investigate the potential appearance of race-related differences using both standard methods and through population-level normative modeling. We show that, in a sample of white and Black adolescents, racial inequities in socioeconomic factors largely contribute to the appearance of race-related differences in cortical thickness of threat neurocircuitry. The race-related differences are preserved through the use of population-level models and such models also preserve associations between cortical thickness and specific socioeconomic factors. The present findings highlight that such socioeconomic inequities largely underlie race-related differences in brain morphology. The present findings provide important new insight for the generation of generalizable neurobiological models of psychiatric illness.
Interfacial solar evaporation for zero liquid discharge desalination
Authors: Yao Jiarong , Zhong Qiuyue , Zhang Jin , Zhao Jianguo , Wang Zhenxing 
Published: June 2024

AbstractInterfacial solar evaporation is a sustainable and effective method that uses solar energy to produce freshwater. As this technology continues to develop, the ability of interfacial solar evaporators to tolerate high salt concentrations and achieve stable evaporation has gradually improved. Some evaporators can even achieve complete separation of water and solutes, resulting in zero liquid discharge. Here, we discuss strategies for interfacial solar evaporators for treating high-salinity wastewater and achieving zero liquid discharge. We particularly focus on representative management strategies, including timely removal of salt crystals and prevention of salt deposition on photothermal materials. Additionally, we present three design ideas for evaporators, including the fundamental principles behind these strategies. Current challenges and future research opportunities are proposed.
Gender differences in the perceived impacts of coastal management and conservation
Authors: Harper Sarah J. , Gurney Georgina G. , Darling Emily , Mangubhai Sangeeta , Jupiter Stacy , Lestari W. Peni , Holmes Katherine E. , Sumaryati Susi , Sulisyati Rohmani , Fox Margaret , Ban Natalie C. 
Published: June 2024

AbstractGender influences the ways that people are involved in and rely on coastal resources and spaces. However, a limited understanding of gender differences in this context hinders the equity and effectiveness of coastal management and conservation. Drawing on data collected through purposive sampling from 3063 people in Fiji, Papua New Guinea, Solomon Islands, Indonesia, Kenya, and Madagascar, we explored how men and women perceived the effects of coastal management and conservation on human well-being. We found significant gender differences in perceptions of the presence of impacts, whereby 37% of women and 46% of men perceived individual-level impacts, while 47% of women and 54% of men perceived community-level impacts. When asked about the degree and direction of impacts, the responses were not significantly different by gender. When describing the types of impacts, women and men articulated these differently, particularly impacts related to economic, governance, and health aspects of well-being. These findings highlight pathways for developing more equitable and gender-responsive coastal management and conservation initiatives aimed at safeguarding biodiversity, sustaining fisheries, and supporting the well-being of all those who depend on the marine environment.
Optimizing the quantum capacitance of AsXBr/AsYBr ((X ≠ Y) = S, Se and Te) Janus heterostructures for high-performance supercapacitors
Authors: Kolavada Himalay , Shaikh Gaushiya A. , Gajjar P. N. , Gupta Sanjeev K. 
Published: June 2024

Tailoring the characteristics of AsXBr/AsYBr ((X ≠ Y) = S, Se and Te) Janus heterostructures for advanced supercapacitor applications.
Applications of the R.A.I.S.E. Assessment Framework to Support the Process of Assessment in Primary Progressive Aphasia
Authors: Gallée Jeanne , Volkmer Anna , Whitworth Anne , Hersh Deborah , Cartwright Jade 
Published: June 2024

Purpose:
To establish the extent to which person-centered processes are integrated in assessment procedures, the Relationship, Assessment, Inclusion, Support, Evolve (R.A.I.S.E.) Assessment framework was used to evaluate measures that are typically used when assessing people living with primary progressive aphasia (PPA).

Method:

Forty-five assessment tools were evaluated through the lens of the five R.A.I.S.E. principles: building the client–clinician
R
elationship,
A
ssessment choices,
I
ncluding the client and care partners, providing
S
upport, and
E
volving procedures to match client capability and progression. The principles were operationalized as questions for raters to evaluate whether a measure met this aspect of the R.A.I.S.E. Assessment framework.

Results:
Ten measures commonly used in the assessment of people living with PPA met all R.A.I.S.E. principles. These measures centered upon the elicitation of naturalistic discourse, conversation, client self-report, and clinician ratings. Thirteen measures did not meet any of the criteria, and represented standardized evaluation procedures do not provide the opportunity to connect to the client, elicit or provide feedback or support, nor to adapt in response to need or performance.

Conclusions:
Whether using standardized or informal assessment tools, a relational and qualitative approach to providing assessment is paramount to promote client success and therapeutic engagement. We provide guidance through the R.A.I.S.E. framework on practices to cultivate person-centered processes of assessment in the care of people living with PPA.
Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks
Authors: Cruz‐Guerrero Inés A. , Campos‐Delgado Daniel Ulises , Mejía‐Rodríguez Aldo R. , Leon Raquel , Ortega Samuel , Fabelo Himar , Camacho Rafael , Plaza Maria de la Luz , Callico Gustavo 
Published: June 2024

AbstractHyperspectral imaging has demonstrated its potential to provide correlated spatial and spectral information of a sample by a non‐contact and non‐invasive technology. In the medical field, especially in histopathology, HSI has been applied for the classification and identification of diseased tissue and for the characterization of its morphological properties. In this work, we propose a hybrid scheme to classify non‐tumor and tumor histological brain samples by hyperspectral imaging. The proposed approach is based on the identification of characteristic components in a hyperspectral image by linear unmixing, as a features engineering step, and the subsequent classification by a deep learning approach. For this last step, an ensemble of deep neural networks is evaluated by a cross‐validation scheme on an augmented dataset and a transfer learning scheme. The proposed method can classify histological brain samples with an average accuracy of 88%, and reduced variability, computational cost, and inference times, which presents an advantage over methods in the state‐of‐the‐art. Hence, the work demonstrates the potential of hybrid classification methodologies to achieve robust and reliable results by combining linear unmixing for features extraction and deep learning for classification.
Efficient propagation modelling for open‐confined mixed space using a hybrid ray‐tracing/waveguide theory method
Authors: Zhao Zhenyu , Qin Hao , Wang Junhong , Hou Weibin , Zhang Xingqi 
Published: June 2024

AbstractThe accurate prediction of radio wave propagation along highways plays an important role in the design of high‐speed highway communication systems. The open‐confined mixed space is a connection zone between the open space and confined tunnel along the highway. A hybrid propagation model is presented based on ray‐tracing (RT) and waveguide theory, for the efficient modelling of open‐confined mixed space. The proposed model employs RT to predict radio waves emitted by sources with arbitrary radiation patterns in open space sections, and utilises the waveguide theory approach to accelerate the prediction process in the confined tunnel sections. Both two‐ray and six‐ray RT models are included to take into account the suburban and urban environments. Numerical results are compared with simulated results generated by RT as well as experimental measurements. The validity and usefulness of the proposed model are demonstrated in an actual open‐confined mixed space environment.
Torque ripple suppression in non‐commutation interval of the coreless brushless DC motor based on unipolar PWM predictive control
Authors: Zeng Chong , Wan Zhongxin , Huang Song , He Jiao 
Published: June 2024

AbstractAiming at the torque ripple caused by significant current ripple and non‐ideal back‐electromotive force (back‐EMF) of coreless brushless DC motor (BLDCM), an incremental predictive control strategy based on unipolar pulse width modulation (PWM) is proposed in the non‐commutation interval. Firstly, the unipolar PWM scheme is used to double the current ripple frequency, which can reduce the current ripple. On this basis, the current prediction equations of adjacent control periods are subtracted to obtain the incremental current prediction equation, and the influence of non‐ideal back‐EMF on torque ripple suppression is eliminated. Finally, combined with the author's previous research on the commutation torque ripple suppression strategy, an integrated suppression strategy for non‐commutation and commutation interval is proposed. The experimental results show that, compared with the PI control strategy, the total torque ripple of the proposed strategy is reduced to less than 35%, and the current ripple is reduced. Meanwhile, the commutation time is shortened, and the advantages of coreless motor rapid response are retained. The strategy is universal, not limited by motor parameters and operating conditions, and has theoretical and engineering value.
SODA – A tool to predict storm-induced orbit decays for low Earth-orbiting satellites
Authors: Krauss Sandro , Drescher Lukas , Temmer Manuela , Suesser-Rechberger Barbara , Strasser Andreas , Kroisz Sophia 
Published: June 2024

Due to the rapidly increasing technological progress in the last decades, the issue of space weather and its influences on our everyday life has more and more importance. Today, satellite-based navigation plays a key role in aviation, logistic, and transportation systems. With the strong rise of the current solar cycle 25 the number and intensity of solar eruptions increasesd. The forecasting tool SODA (Satellite Orbit DecAy) is based on an interdisciplinary analysis of space geodetic observations and solar wind in-situ measurements. It allows the prediction of the impact of in-situ measured interplanetary coronal mass ejections (ICMEs) on the altitude of low Earth-orbiting satellites at 490 km with a lead time of about 20 h, which is defined as the time difference between measuring the minimum Bz component and the orbit decay reaching its maximum. Additionally, it classifies the severeness of the expected geomagnetic storm in the form of the Space Weather G–scale from the National Oceanic and Atmospheric Administration (NOAA). For the establishment and validation of SODA, we examined 360 ICME events over a period of 21 years. Appropriated variations in the thermospheric neutral mass density, were derived mainly from measurements of the Gravity Recovery and Climate Experiment (GRACE) satellite mission. Related changes in the interplanetary magnetic field component Bz were investigated from real-time measurements using data from spacecraft located at the Lagrange point L1. The analysis of the ICME-induced orbit decays and the interplanetary magnetic field showed a strong correlation as well as a time delay between the ICME and the associated thermospheric response. The derived results are implemented in the forecasting tool SODA, which is integrated into the Space Safety Program (Ionospheric Weather Expert Service Center; I.161) of the European Space Agency (ESA).
Mitarbeitsunabhängige Klasse II Therapie mit der Herbstapparatur –
Ein Überblick
Authors: Schmid Jonas Q. , Hohoff Ariane 
Published: June 2024

ZusammenfassungDie Therapie der Angle Klasse II gehört zu den häufigsten kieferorthopädischen
Behandlungsaufgaben. Befundabhängig stehen verschiedene Therapieoptionen zur
Verfügung, unter anderem eine Behandlung mittels Herbstapparatur, die im
permanenten Gebiss - auf oder nach dem Wachstumsgipfel - besonders effektiv ist.
Die Kombination mit vollständig individuellen lingualen Multibracketapparaturen
kann mögliche Nebenwirkungen des Herbstscharniers reduzieren. Ziel dieses
Artikels ist ein Literaturüberblick zum Thema Therapie mittels Herbstapparatur
und die Veranschaulichung der Methode anhand von Fallbeispielen.
Oxidative Cross-Dehydrogenative C–H Bond Amination of Imidazo[1,2-a]pyridines in Aqueous Media under Metal-Free Conditions
Authors: Kshirsagar Umesh A. , Sarothiya Durgesh 
Published: June 2024

AbstractThe metal-free direct oxidative cross-dehydrogenative C–H bond amination of imidazopyridines with pyrazole in water as solvent has been developed under K2S2O8-promoted mild conditions. This strategy was applied to variable imidazoheterocycles to give amination products in moderate to good yields. The described protocol also offers scale-up synthesis for the construction of C–N bonds, which makes it suitable for the synthesis of biologically active compounds and pharmaceuticals.
Ru-Mediated and Sulfur-Directed ortho-C–H Activation of Benzyl Thioethers with Internal Alkynes and Selective Hydrothiolation of Acetylene Dicarboxylates
Authors: Joshi Raj K. , Kumari Sangeeta , Tomar Vijesh , Soni Aditi , Manisha Manisha , Sharma Charu 
Published: June 2024

AbstractIn this report, we have established a Ru(η6-C6H6)Cl2 catalysed ortho-C–H activation of benzyl thioethers with alkynes under milder reaction conditions. The sulfur atom of benzyl thioethers worked as a directing group for ortho-C–H activation of benzyl thioethers. The reaction was found to tolerate a range of benzyl thioethers as well as alkynes. Moreover, the reaction is significantly influenced by the length of alkyl and aryl thioethers, with the best results being obtained with benzyl thioethers. Kinetic isotopic experiments suggest that the ortho-C–H bond-breaking is not a rate-determining step for the present reaction. In an unusual observation that has not been reported, apart from ortho-C–H activation, under the same reaction conditions, a selective debenzylative hydrothiolation was exclusively obtained with acrylates, which broadens the synthetic impact of benzyl thioethers for the preparation of mixed chalcogen ethers.
Association between Cognitive Abilities before the Age of 3 Years and Those at Least 1 Year Later in Children with Developmental Delay
Authors: Jun Kwangohk , Park Donghwi , Eo Hyoshin , Woo Seongho , Koo Won Mo , Kim Jong Min , Lee Byung Joo , Chang Min Cheol 
Published: June 2024

Abstract
Objective This study investigated whether early cognitive assessment in children with developmental delay (DD) predicts cognitive development. We investigated the correlation between cognitive and language development in children with DD, cerebral palsy (CP), and autism spectrum disorder (ASD).
Methods Data were collected from children diagnosed with DD who visited the hospital between 2015 and 2023. The assessments included the Korean Bayley Scales of Infant and Toddler Development Second Edition (K-BSID-II) and the Korean Wechsler Preschool Primary Scale of Intelligence Fourth Edition (K-WPPSI-IV). Language development was evaluated using the Sequenced Language Scale for Infants (SELSI) and Preschool Receptive-Expressive Language Scale (PRES). The statistical analysis involved a correlation analysis.
Results Among 95 children in the study, a significant correlation was discovered between early cognitive assessments (the Mental Developmental Index from the K-BSID-II) and later cognitive development (the Full-Scale Intelligence Quotient from the K-WPPSI-IV) in the DD and CP groups, but not in the ASD group. The DD and CP groups exhibited significant correlations in language development between the SELSI and PRES, whereas the ASD group did not.
Conclusion Early cognitive assessments can predict later cognitive development in children with DD and CP, but not in those with ASD, according to this study. There was a strong correlation between language and cognitive development in the DD and CP groups, highlighting the importance of early intervention and assessment for these children. Further investigation is necessary to address these limitations and refine demographic data.
New Polymeric Disulfonimide for Heterogeneous Silicon Lewis Acid Catalysis
Authors: Giorgianni Giuliana , Casacchia Maria Edith , Pesciaioli Fabio , Ricci Pier Carlo , Di Muzio Simone , Lazzarini Andrea , Carlone Armando 
Published: June 2024

AbstractA new heterogeneous polymeric disulfonimide was very easily synthesized from simple commercially available reagents. The new cost-effective catalytic material exhibited a tremendously enhanced reactivity in a benchmark Mukaiyama aldol reaction via silicon Lewis acid activation when compared with common acidic resins. Moreover, the reported polymeric disulfonimide exhibits outstanding robustness, as confirmed by its good thermal stability and excellent recyclability.
Big data, risk classification, and privacy in insurance markets
Authors: Eling Martin , Gemmo Irina , Guxha Danjela , Schmeiser Hato 
Published: June 2024

AbstractThe development of new technologies and big data analytics tools has had a profound impact on the insurance industry. A new wave of insurance economics research has emerged to study the changes and challenges those big data analytics developments engendered on the insurance industry. We provide a comprehensive literature review on big data, risk classification, and privacy in insurance markets, and discuss avenues for future research. Our study is complemented by an application of the use of big data in risk classification, considering individuals' privacy preferences. We propose a framework for analyzing the trade-off between the accuracy of risk classification and the discount offered to policyholders as an incentive to share private data. Furthermore, we discuss the conditions under which using policyholders' private data to classify risks more accurately is profitable for an insurer. In particular, we find that improving the accuracy of risk classification, if achieved by requiring the use of private data, does not necessarily provide an incentive for insurers to create more granular risk classes.
Digital security by design
Authors: Radanliev Petar 
Published: June 2024

AbstractThis paper scrutinises the evolving digital security landscape, encompassing technological advancements, regulatory frameworks, and industry-specific challenges. It explores the influence of technologies like AI, quantum computing, and blockchain on security paradigms whilst identifying emergent threats. The study analyses the interplay between digital security and legislative policies, underlining their impact on industry practices and individual behaviours. Sector-specific examinations are conducted, pinpointing unique security concerns in sectors such as healthcare and finance and advocating bespoke solutions. The study highlights discrepancies between security intentions and actions, proposing strategies to bridge this divide. Projecting into the future, we anticipate shifts in technology and regulation, culminating in pragmatic recommendations for stakeholders. This article offers an informed perspective on digital security, laying the groundwork for proactive approaches in a dynamic digital environment.
From unseen to seen in post-mining polluted territories: (in)visibilisation processes at work in soil contamination management
Authors: Bonincontro Tessa , Cerceau Juliette , Tena-Chollet Florian , Becerra Sylvia 
Published: June 2024

AbstractIn line with EU recommendations, the potential ‘mining revival’ in France focuses on (re)opening mines. In this context, political discussions on post-mining areas have increased, driven by past mismanagements. Scientists are key in these regions, studying contamination, advising policy, and seeking solutions. Based on a case study of phytoremediation research in Saint-Laurent-Le Minier, we explore how lay and expert knowledge intersect. By examining what is hidden and by whom, we unveil research practices and stakeholder dynamics, sparking reflection on the research process while promoting a reflexive approach for researchers. We show research and its application spotlight specific topics (such as soil contamination), select, and make visible certain lay knowledge and local stakeholders and visibilises certain technological choices.