bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multifunctional tri-electrode sensors for the measurement of displacement, force, and infrared irradiation
Authors: Chani Muhammad Tariq Saeed , Karimov Khasan S , Fatima Noshin , Alzahrani Khalid Ahmed , Kamal Tahseen , Abdel-Fadeel Mohamed A , Marwani Hadi M 
Published: October 2024

Abstract
Here we described the effect of displacement, force and infrared irradiation on the resistance and impedance of tri-electrode multifunctional sensors. These sensors are based on the gel type composite of carbon nanotubes (CNT), nickel phthalocyanine (NiPc) and edible oil. The channel of this tri-electrodes (field effect transistors) structure is made of CNT-NiPc-oil gel composite using rubbing-in technology. The tri-electrode sensors’ response depends upon the direction of force/displacement and shows an anisotropy. Application of force or displacement from the top causes to decrease resistance and the impedance and vice versa in case of applying force or displacement from the side. The displacement and force sensitivities were up to −273.3 Ω μm−1 and −46.5 Ω gf−1 from the top and 480.0 Ω μm−1 and 3.1 × 102 Ω gf−1 from the side, respectively, for the sensing ranges 0–150 μm and 0–215 gf. Under the effect of the infrared irradiation from any direction the impedance and the resistance of the sensor reduces. On changing infrared irradiation intensity from 0 to 2500 W m−2 the sensitivities from top and side of the sensor were −37.4 Ωm2 W−1 and −16.5 Ωm2 W−1, respectively. The investigated sensors may potentially be used as prototypes to develop gel-electronic-based shockproof sensors. The technological achievement in fabricating these devices is the consumption of environmentally friendly materials, particularly edible oil (organic). The edible oil allows to formulate uniform composite gel-films, that may not be comprehended only by ingredients mixing. The fabricated sensors are highly attractive for commercialization.
Microstructure and mechanical properties of CP780 steel - 7075 aluminum alloy laser welded joint assisted by rotating magnetic field
Authors: Zhu Xiaoou , Li Yu , Chen Xueting , Yin Guili , Chen Yining , Xiao Chenxu 
Published: October 2024

Abstract
This study uses a rotating magnetic field for laser welding on 1 mm thick CP780 high-strength steel and 1.5 mm thick 7075 aluminum alloy. The effects of different welding parameters (B = 0 mT, B = 65 mT with V = 0°/s, B = 65 mT with V = 10°/s) on the morphology, microstructure, and tensile properties of welded joints are analyzed. At B = 0 mT, the weld shape is V-shaped, with the intermetallic compounds primarily consisting of needle-like brittle Al-rich (Fe, Si)Al2 phase and fewer granular ductile Fe-rich (Fe, Si)Al phase, resulting in poor mechanical properties. With the application of the rotating magnetic field, the laser energy becomes more concentrated, forming a ‘T’ shape weld. The rotating magnetic field (B = 65 mT with V = 10°/s) generates a constantly changing Lorentz force, promoting molten pool flow and enhancing Fe diffusion within the weld. This process reduces needle-like brittle Al-rich (Fe, Si)Al2 phase and increases granular ductile Fe-rich (Fe, Si)Al phase. It also accelerates the weld cooling rate and inhibits the reaction time and grain growth of intermetallic compounds, thereby reducing the thickness and content of the intermediate transition layer and significantly improving mechanical properties. A comprehensive comparison shows that the best mechanical properties are achieved at B = 65 mT with V = 10°/s. This study offers new insights and a theoretical foundation for achieving cost-effective, high-performance welded joints in advanced high-strength steel and high-strength aluminum alloy for automobiles, thereby facilitating lightweight vehicle development.
Scoping review of sustainable diets research reveals a thematic and disciplinary emphasis on nutrition and environment
Authors: Hricko Carolyn , Demarest Bradford , Liu Tung-Lin , Cheney Nick , Belarmino Emily H , Trubek Amy , Niles Meredith T 
Published: October 2024

Abstract
Sustainable diets have been identified as an important component of a food systems transformation that is urgently needed to meet global sustainability and development goals. This study addresses the lack of a comprehensive synthesis and overview of the sustainable diets literature, including its evolution over time and across disciplines, and sheds light on whether and how this body of work addresses dimensions of sustainability as defined by the Food and Agriculture Organization of the United Nation’s (FAO) sustainable diets framework. Topic modeling, a type of natural language processing, was used to perform a thematic scoping review of 855 articles published between 2000–2022 to identify trends and themes in a way that was rapid, transparent, reliable, and reproducible. This research finds demonstrated growth in the field of sustainable diets research, with the majority (66%) of sustainable diets articles considered in this study published in the last three years of the study period. Sixty-three percent of the sustainable diets research articles can be characterized by two topics, ‘sustainability impacts of dietary patterns’ and ‘sustainable diets and food system policy.’ FAO components of sustainable diets related to local and seasonal foods, culture, and equity receive relatively little research attention, whereas components of health, environment, and food security each align with approximately a third of the research literature. This is also reflected in the subject classification analysis, in which nearly half of the research (44%) was classified as Nutrition and Dietetics and/or Environmental Studies. This research highlights the need for more transdisciplinary research that addresses areas of equity, culture, social processes, and context as well as the intersections of sustainability dimensions to better understand the need for, implications, and directions of sustainable diets to support a sustainable food systems transformation.
Breakthrough to data 1825–1827
Authors: Kivivuori Janne 
Published: October 2024

Abstract
This chapter describes the emergence of the French national crime statistics as an ideal type of the modern crime statistical report. It was created by a team led by Jacques Guerry de Champneuf (1788–1852) in the French Ministry of Justice from 1824 onwards. The aims of the project are described based on data instructions, later testimonies, obituaries, and by reverse engineering from the published tables. The reception of the statistics in France and by scholars in other European countries is discussed. This chapter also discusses a core motive in the creation and use of administrative crime data: many of the first-generation criminologists wanted the data to help them to move from ideology and confirmation bias to cumulative knowledge. The notion of public data as the final arbiter constituted a field of inquiry where disagreements were possible but not eternal.
The origins of criminology
Authors: Kivivuori Janne 
Published: October 2024

Abstract
This chapter summarizes the main findings and argument of the book. It starts by discussing two interpretive frames in the history of criminology: the theory linking criminology to the fear of ‘dangerous classes’ and the alternative interpretation proposed in this book, which explains the rise of criminology by the collision of the civilization theoretical tradition with the new instrument of research-enabling statistics. The chapter summarizes the key external conditions of the emergence of criminology and moves on to discuss the role of internal factors by asking the question whether empirical contact changed the developmental logic of the discipline. The chapter concludes by noting the caveats and silences of criminology’s first, constitutive data revolution, such as the role of the individual and the use of qualitative sources.
Effects of controlled supramaximal high-intensity interval training on muscle capacities and physical functions for older adults: analysis of secondary outcomes from the Umeå HIT study—a randomised controlled trial
Authors: Frykholm Erik , Hedlund Mattias , Becker Clemens , Holmberg Henrik , Johansson Bengt , Klenk Jochen , Lindelöf Nina , Lindemann Ulrich , Simonsson Emma , Boraxbekk Carl-Johan , Rosendahl Erik 
Published: October 2024

Abstract

Objective
This study investigated the effectiveness of supramaximal high-intensity interval training (supramaximal HIT) on muscle capacities and physical function compared to moderate-intensity training (MIT) for older adults.

Methods
Sixty-eight older adults (66–79 years, 56% women), not engaged in regular exercise, were randomised to 3 months of twice-weekly supramaximal HIT (20 minutes including 10 × 6-second intervals) or MIT (40 minutes including 3 × 8-minute intervals). Both groups performed the training on stationary bicycles in a group setting. Target intensity was watt-controlled, with standardised cadence and individualised resistance. Outcomes analysed with linear-mixed models included leg power (Nottingham Power Rig), hand grip strength (Jamar dynamometer), static and dynamic balance (One leg stance, 30-second step test), chair stand (30-second chair stand), and anaerobic cycling performance (modified Borg Cycle Strength Test).

Results
Baseline values were (supramaximal HIT/MIT, mean ± SD) leg power 198 ± 60/189 ± 53 W, hand grip strength 4.2 ± 1.0/4.3 ± 1.1 N/kg, static balance 64 ± 41/62 ± 41 s, dynamic balance 39 ± 7/38 ± 5 steps, chair stands 22 ± 6/22 ± 6 and anaerobic cycling performance 224 ± 60/217 ± 55 W. At 3-month follow-up, a between-group difference in favour of supramaximal HIT [95% CI] was observed in anaerobic cycling performance of 19[3;35] W. Within-group mean changes for supramaximal HIT/MIT were for leg power 8.4[0.9;15.8]/6.0[−1.3;13.3] W, hand grip strength 0.14[0.00;0.27]/0.13[−0.01;0.26] N/kg, static balance 11[3;20]/10[1;18] s, dynamic balance 1.6[0.3;2.8]/2.3[1.1;3.6] steps, 2.1[1.1;3.1]/1.4[0.4;2.3] chair stands and anaerobic cycling performance 31.3[19.6;43.0]/12.0[0.4;23.5] W.

Conclusion
Supramaximal HIT showed superior effect on anaerobic cycling performance when compared to MIT. Additionally, the results indicate that supramaximal HIT is comparably beneficial as MIT in terms of effects on muscle capacity and physical function for older adults.
Core outcome set for studies evaluating interventions to prevent or treat delirium in long-term care older residents: international key stakeholder informed consensus study
Authors: Russell Gregor , Rana Namrata , Reilly Siobhan T , Shehadeh Anas , Page Valerie , Siddiqi Najma , Rose Louise 
Published: October 2024

Abstract

Background
Trials of interventions to prevent or treat delirium in older adults resident in long-term care settings (LTC) report heterogenous outcomes, hampering the identification of effective management strategies for this important condition. Our objective was to develop international consensus among key stakeholders for a core outcome set (COS) for future trials of interventions to prevent and/or treat delirium in this population.

Methods
We used a rigorous COS development process including qualitative interviews with family members and staff with experience of delirium in LTC; a modified two-round Delphi survey; and virtual consensus meetings using nominal group technique. The study was registered with the Core Outcome Measures in Effectiveness Trials (COMET) initiative (https://www.comet-initiative.org/studies/details/796).

Results
Item generation identified 22 delirium-specific outcomes and 32 other outcomes from 18 qualitative interviews. When combined with outcomes identified in our earlier systematic review, and following an item reduction step, this gave 43 outcomes that advanced to the formal consensus processes. These involved 169 participants from 12 countries, and included healthcare professionals (121, 72%), researchers (24, 14%), and family members/people with experience of delirium (24, 14%). Six outcomes were identified as essential to include in all trials of interventions for delirium in LTC, and were therefore included in the COS. These are: ‘delirium occurrence’; ‘delirium related distress’; ‘delirium severity’; ‘cognition including memory’, ‘admission to hospital’ and ‘mortality’.

Conclusions
This COS, endorsed by the American Delirium Society and the European and Australasian Delirium Associations, is recommended for use in future clinical trials evaluating delirium prevention or treatment interventions for older adults residing in LTC.
Realising the right to rehabilitation—commentary on ‘reablement, rehabilitation, recovery: everyone’s business’
Authors: Hendry Anne 
Published: October 2024

Abstract
Rehabilitation is a core component of comprehensive geriatric assessment and should be central to integrated care and support across the whole system. Yet access barriers and ageist practices still prevail within many rehabilitation services. This commentary reflects on a report and recommendations published by the British Geriatrics Society in May 2024. As lead author for the report, I share my personal reflection on the key messages and take this opportunity to thank the multidisciplinary contributors.
Reablement, Rehabilitation, Recovery: everyone’s business describes why rehabilitation matters to older people and their caregivers. It provides evidence and examples of practice at different care touchpoints and makes the case that rehabilitation is everyone’s business and knows no boundaries, whether by condition, profession, care setting or taxonomy. The report sets out 12 key actions for health and care systems to deliver effective and integrated rehabilitation as a right for all older people, wherever and whenever they need it. To realise that right, health and care professionals must work together, and with their local community partners, to build capacity and capability for reablement, rehabilitation and recovery across the whole workforce.
With population ageing and many more people living with frailty or multimorbidity, there is an urgent need for greater investment in rehabilitation to prevent, delay or reduce disability, caregiver burden and demand for long-term care. This timely BGS report should be essential reading for all who plan, commission, provide or assure health and care services for older people.
Molecular mechanism of flower colour formation in Rhododendron simsii Planchon revealed by integration of microRNAome and RNAomics
Authors: Fu Jun , Tian Chuanchuan , Wan Xuchun , Hu Ruibin , Yu Jiaojun , Zhang Jialiang , Wang Shuzhen 
Published: October 2024

Abstract
Systems-wide understanding of gene expression profile regulating flower colour formation in Rhododendron simsii Planchon is insufficient. In this research, integration analysis of ribonucleic acid (RNA)omics and microRNAome were performed to reveal the molecular mechanism of flower colour formation in three R. simsii varieties with red, pink and crimson flowers, respectively. Totally, 3129, 5755 and 5295 differentially expressed gene (DEG)s were identified through comparative transcriptome analysis between ‘Red variety’ and ‘Pink variety’ (1507 up-regulated and 1622 down-regulated), ‘Red variety’ and ‘Crimson variety’ (2148 up-regulated 3607 down-regulated), as well as ‘Pink variety’ and ‘Crimson variety’ (2089 up-regulated and 3206 down-regulated), which were involved in processes of ‘catalytic activity’, ‘binding’, ‘metabolic process’ and ‘cellular process’, as well as pathways of ‘metabolic pathways’, ‘biosynthesis of secondary metabolites’, ‘plant-pathogen interaction’ and ‘phenylpropanoid biosynthesis’. A total of 215 miRNAs, containing 153 known miRNAs belonging to 57 families and 62 novel miRNA, were involved in flower colour formation. In particular, 55 miRNAs were significantly differently expressed. Based on miRNA–mRNA regulatory network, ath-miR5658 could affect the synthesis of pelargonidin, cyanidin and delphinidin through downregulating accumulation of anthocyanidin 3-O-glucosyltransferase; ath-miR868-3p could regulate isoflavonoid biosynthesis through downregulating expression of CYP81E1/E7; ath-miR156g regulated the expression of flavonoid 3',5'-hydroxylase; and ath-miR829-5p regulated flavonol synthasein flavonoid biosynthesis process. This research will provide important roles in breeding new varieties with rich flower colour.
AntigenBoost: enhanced mRNA-based antigen expression through rational amino acid substitution
Authors: Gao Yumiao , Zhu Siran , Li Huichun , Hao Xueting , Chen Wen , Pan Deng , Qian Zhikang 
Published: October 2024

Abstract
Messenger RNA (mRNA) vaccines represent a groundbreaking advancement in immunology and public health, particularly highlighted by their role in combating the COVID-19 pandemic. Optimizing mRNA-based antigen expression is a crucial focus in this emerging industry. We have developed a bioinformatics tool named AntigenBoost to address the challenge posed by destabilizing dipeptides that hinder ribosomal translation. AntigenBoost identifies these dipeptides within specific antigens and provides a range of potential amino acid substitution strategies using a two-dimensional scoring system. Through a combination of bioinformatics analysis and experimental validation, we significantly enhanced the in vitro expression of mRNA-derived Respiratory Syncytial Virus fusion glycoprotein and Influenza A Hemagglutinin antigen. Notably, a single amino acid substitution improved the immune response in mice, underscoring the effectiveness of AntigenBoost in mRNA vaccine design.
Bioinformatics approaches for studying molecular sex differences in complex diseases
Authors: Loo Rebecca Ting Jiin , Soudy Mohamed , Nasta Francesco , Macchi Mirco , Glaab Enrico 
Published: October 2024

Abstract
Many complex diseases exhibit pronounced sex differences that can affect both the initial risk of developing the disease, as well as clinical disease symptoms, molecular manifestations, disease progression, and the risk of developing comorbidities. Despite this, computational studies of molecular data for complex diseases often treat sex as a confounding variable, aiming to filter out sex-specific effects rather than attempting to interpret them. A more systematic, in-depth exploration of sex-specific disease mechanisms could significantly improve our understanding of pathological and protective processes with sex-dependent profiles. This survey discusses dedicated bioinformatics approaches for the study of molecular sex differences in complex diseases. It highlights that, beyond classical statistical methods, approaches are needed that integrate prior knowledge of relevant hormone signaling interactions, gene regulatory networks, and sex linkage of genes to provide a mechanistic interpretation of sex-dependent alterations in disease. The review examines and compares the advantages, pitfalls and limitations of various conventional statistical and systems-level mechanistic analyses for this purpose, including tailored pathway and network analysis techniques. Overall, this survey highlights the potential of specialized bioinformatics techniques to systematically investigate molecular sex differences in complex diseases, to inform biomarker signature modeling, and to guide more personalized treatment approaches.
Gene expression prediction from histology images via hypergraph neural networks
Authors: Li Bo , Zhang Yong , Wang Qing , Zhang Chengyang , Li Mengran , Wang Guangyu , Song Qianqian 
Published: October 2024

Abstract
Spatial transcriptomics reveals the spatial distribution of genes in complex tissues, providing crucial insights into biological processes, disease mechanisms, and drug development. The prediction of gene expression based on cost-effective histology images is a promising yet challenging field of research. Existing methods for gene prediction from histology images exhibit two major limitations. First, they ignore the intricate relationship between cell morphological information and gene expression. Second, these methods do not fully utilize the different latent stages of features extracted from the images. To address these limitations, we propose a novel hypergraph neural network model, HGGEP, to predict gene expressions from histology images. HGGEP includes a gradient enhancement module to enhance the model’s perception of cell morphological information. A lightweight backbone network extracts multiple latent stage features from the image, followed by attention mechanisms to refine the representation of features at each latent stage and capture their relations with nearby features. To explore higher-order associations among multiple latent stage features, we stack them and feed into the hypergraph to establish associations among features at different scales. Experimental results on multiple datasets from disease samples including cancers and tumor disease, demonstrate the superior performance of our HGGEP model than existing methods.
PatchProt: hydrophobic patch prediction using protein foundation models
Authors: Gogishvili Dea , Minois-Genin Emmanuel , van Eck Jan , Abeln Sanne 
Published: October 2024

Abstract

Motivation
Hydrophobic patches on protein surfaces play important functional roles in protein–protein and protein-ligand interactions. Large hydrophobic surfaces are also involved in the progression of aggregation diseases. Predicting exposed hydrophobic patches from a protein sequence has shown to be a difficult task. Fine-tuning foundation models allows for adapting a model to the specific nuances of a new task using a much smaller dataset. Additionally, multitask deep learning offers a promising solution for addressing data gaps, simultaneously outperforming single-task methods.

Results
In this study, we harnessed a recently released leading large language model Evolutionary Scale Models (ESM-2). Efficient fine-tuning of ESM-2 was achieved by leveraging a recently developed parameter-efficient fine-tuning method. This approach enabled comprehensive training of model layers without excessive parameters and without the need to include a computationally expensive multiple sequence analysis. We explored several related tasks, at local (residue) and global (protein) levels, to improve the representation of the model. As a result, our model, PatchProt, cannot only predict hydrophobic patch areas but also outperforms existing methods at predicting primary tasks, including secondary structure and surface accessibility predictions. Importantly, our analysis shows that including related local tasks can improve predictions on more difficult global tasks. This research sets a new standard for sequence-based protein property prediction and highlights the remarkable potential of fine-tuning foundation models enriching the model representation by training over related tasks.

Availability and implementation
https://github.com/Deagogishvili/chapter-multi-task