bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotion Recognition Deficits in Children and Adolescents with Psychopathic Traits: A Systematic Review
Authors: Díaz-Vázquez Beatriz , López-Romero Laura , Romero Estrella 
Published: January 2024

AbstractChildren and adolescents with psychopathic traits show deficits in emotion recognition, but there is no consensus as to the extent of their generalizability or about the variables that may be moderating the process. The present Systematic Review brings together the existing scientific corpus on the subject and attempts to answer these questions through an exhaustive review of the existing literature according to PRISMA 2020 statement. Results confirmed the existence of pervasive deficits in emotion recognition and, more specifically, on distress emotions (e.g., fear), a deficit that transcends all modalities of emotion presentation and all emotional stimuli used. Moreover, they supported the key role of attention to relevant areas that provide emotional cues (e.g., eye-region) and point out differences according to the presence of disruptive behavior and based on the psychopathy dimension examined. This evidence could advance the current knowledge on developmental models of psychopathic traits. Yet, homogenization of the conditions of research in this area should be prioritized to be able to draw more robust and generalizable conclusions.
miRNAs in pancreatic cancer progression and metastasis
Authors: Mok Ellie T. Y. , Chitty Jessica L. , Cox Thomas R. 
Published: January 2024

AbstractSmall non-coding RNA or microRNA (miRNA) are critical regulators of eukaryotic cells. Dysregulation of miRNA expression and function has been linked to a variety of diseases including cancer. They play a complex role in cancers, having both tumour suppressor and promoter properties. In addition, a single miRNA can be involved in regulating several mRNAs or many miRNAs can regulate a single mRNA, therefore assessing these roles is essential to a better understanding in cancer initiation and development. Pancreatic cancer is a leading cause of cancer death worldwide, in part due to the lack of diagnostic tools and limited treatment options. The most common form of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC), is characterised by major genetic mutations that drive cancer initiation and progression. The regulation or interaction of miRNAs with these cancer driving mutations suggests a strong link between the two. Understanding this link between miRNA and PDAC progression may give rise to novel treatments or diagnostic tools. This review summarises the role of miRNAs in PDAC, the downstream signalling pathways that they play a role in, how these are being used and studied as therapeutic targets as well as prognostic/diagnostic tools to improve the clinical outcome of PDAC.
Soluble molecular switches in electrospun nanofibers
Authors: Brehme Jules , Kilic Maximilian Seydi , Pawlak Justus , Renz Franz , Sindelar Ralf Franz 
Published: January 2024

AbstractCompounds that exhibit the spin crossover effect are known to show a change of spin states through external stimuli. This reversible switching of spin states is accompanied by a change of the properties of the compound. Complexes, like iron (II)-triazole complexes, that exhibit this behavior at ambient temperature are often discussed for potential applications. In previous studies we synthesized iron (II)-triazole complexes and implemented them into electrospun nanofibers. We used Mössbauer spectroscopy in first studies to prove a successful implementation with maintaining spin crossover properties. Further studies from us showed that it is possible to use different electrospinning methods to either do a implementation or a deposition of the synthesized solid SCO material into or onto the polymer nanofibers. We now used a solvent in which both, the used iron (II)-triazole complex [Fe(atrz)3](2 ns)2 and three different polymers (Polyacrylonitrile, Polymethylmethacrylate and Polyvinylpyrrolidone), are soluble. This shall lead to a higher homogeneous distribution of the complex along the nanofibers. Mössbauer spectroscopy and other measurements are therefore in use to show a successful implementation without any significant changes to the complex.
The success of Quercus ilex plantations in agricultural fields in eastern Spain
Authors: García-Fayos P. , Molina M. J. , Espigares T. , Tormo J. , Orduna Y. , Nicolau J. M. , López-Gurillo B. , Moreno de las Heras M. , Bochet E. 
Published: January 2024

AbstractTwenty-five years after planting, we measured the survival, growth and reproduction of 153 Quercus ilex plantations promoted by the afforestation programme of the European Union’s Common Agricultural Policy in agricultural fields in the east of the Iberian Peninsula, as a function of climatic aridity and stand characteristics related to water supply and competition among trees for water. Using field sampling, we found that, on average, 80% of the trees in plantations survived, more than 55% had already produced acorns and the tallest tree in each field exceeded 4 m, which are all higher values than those reported for forest plantations of this species in the same area and which represent the overcoming of the limitations imposed by climatic aridity on the natural regeneration of the species. A small proportion of the variation in all success variables was explained by water-related plantation characteristics, such as planting density, drought intensity in the year after planting, and soil permeability. However, climatic aridity only influenced the proportion of reproductive trees, but not the other variables of plantation success. However, most of the variation in planting success variables was linked to who owned the field, which nursery produced the seedlings, and the year of planting. Our results support the idea that the deep soils of agricultural fields counteract the negative effect of climatic aridity on plant performance, but that it is necessary to standardise nursery and planting practices, adapt planting density to the environmental characteristics of the site and provide irrigation supply in the early years to ensure the success of future plantations.
Common synaptic inputs and persistent inward currents of vastus lateralis motor units are reduced in older male adults
Authors: Guo Yuxiao , Jones Eleanor J. , Škarabot Jakob , Inns Thomas B. , Phillips Bethan E. , Atherton Philip J. , Piasecki Mathew 
Published: January 2024

Abstract
Although muscle atrophy may partially account for age-related strength decline, it is further influenced by alterations of neural input to muscle. Persistent inward currents (PIC) and the level of common synaptic inputs to motoneurons influence neuromuscular function. However, these have not yet been described in the aged human quadriceps. High-density surface electromyography (HDsEMG) signals were collected from the vastus lateralis of 15 young (mean ± SD, 23 ± 5 y) and 15 older (67 ± 9 y) men during submaximal sustained and 20-s ramped contractions. HDsEMG signals were decomposed to identify individual motor unit discharges, from which PIC amplitude and intramuscular coherence were estimated. Older participants produced significantly lower knee extensor torque (p < 0.001) and poorer force tracking ability (p < 0.001) than young. Older participants also had lower PIC amplitude (p = 0.001) and coherence estimates in the alpha frequency band (p < 0.001) during ramp contractions when compared to young. Persistent inward currents and common synaptic inputs are lower in the vastus lateralis of older males when compared to young. These data highlight altered neural input to the clinically and functionally important quadriceps, further underpinning age-related loss of function which may occur independently of the loss of muscle mass.
Concomitant Precipitation of Intermetallic β-NiAl and Carbides in a Precipitation Hardened Steel
Authors: Jakob S. , Hörnqvist Colliander M. , Kawser J. , Rashidi S. , Ooi S. W. , Thuvander M. 
Published: January 2024

AbstractThe investigated steel is hardened by precipitation of both intermetallic β-NiAl particles and carbides. Around peak hardness, here reached after aging at 520 °C for 6 h, the number density of β-NiAl particles is 2.4 × 1024 and 4.4 × 1023 for carbides, respectively. The carbides and β-NiAl often form co-precipitates with presumably the carbides nucleating on the β-NiAl precipitates. The secondary carbides are mainly of the Cr-rich M23C6 type in the investigated states. The steel has a good resistance against over-aging, whereby the β-NiAl coarsen considerably slower than the carbides.
Design and Optimization of an Integrated Power System of Solid Oxide Fuel Cell and Marine Low-Speed Dual-Fuel Engine
Authors: Qu Jinbo , Feng Yongming , Wu Yunjin , Zhu Yuanqing , Wu Binyang , Xiao Zhongxu 
Published: January 2024

AbstractA combined system including a solid oxide fuel cell (SOFC) and an internal combustion engine (ICE) is proposed in this paper. First, a 0-D model of SOFC and a 1-D model of ICE are built as agent models. Second, parameter analysis of the system is conducted based on SOFC and ICE models. Results show that the number of cells, current density, and fuel utilization can influence SOFC and ICE. Moreover, a deep neural network is applied as a data-driven model to conduct optimized calculations efficiently, as achieved by the particle swarm optimization algorithm in this paper. The results demonstrate that the optimal system efficiency of 51.8% can be achieved from a 22.4%/77.6% SOFC-ICE power split at 6 000 kW power output. Furthermore, promising improvements in efficiency of 5.1% are achieved compared to the original engine. Finally, a simple economic analysis model, which shows that the payback period of the optimal system is 8.41 years, is proposed in this paper.
Evaluation of different fractionation methods for the simultaneous protein and carbohydrate extraction from microalgae
Authors: Martins Pedro L. , Duarte Luís C. , Pereira Helena , Reis Alberto , Carvalheiro Florbela 
Published: January 2024

AbstractThe production of high-value products from microalgae, one of the preferred emerging biorefineries’ feedstocks, relies on the crucial step of biomass fractionation. In this work, the fractionation of Chlorella vulgaris and Scenedesmus obliquus biomass was tested for protein extraction using a wide range of physical, chemical, and enzymatic treatment combinations, including ultrasound, cell homogenizer, cellulase, and alcalase combinations in aqueous and alkali extraction conditions. The impact of these processes on biomass carbohydrates was also evaluated. Alkaline-assisted ultrasound treatments using alcalase presented the highest protein extraction yield, reaching 90 g/100 g protein on C. vulgaris, closely followed by the same treatment in aqueous conditions (85 g/100 g protein). The same aqueous treatment achieved the best performance on S. obliquus, reaching 82 g/100 g protein. All treatments on both microalgae partially solubilized the polysaccharide fraction with all alkaline treatments solubilizing over 50 g/100 g sugars for all conditions. Overall, all the treatments applied were effective methods for biomass fractionation, although they showed low selectivity regarding the individual extraction of protein or carbohydrates.
Optimization and kinetic study of biodiesel production from Jatropha curcas oil in supercritical methanol environment using ZnO/γ-Al2O3 catalyst
Authors: Ceran Zeliha Derya , Demir Velid , Akgün Mesut 
Published: January 2024

Abstract
In this study, the conversion of crude Jatropha curcas oil into biodiesel through transesterification was investigated in the presence of heterogeneous solid catalysts under supercritical methanol environment. The principal impetuses catalyzing the expansion in optimal biodiesel production are primarily attributed to the increasing demand for sustainable energy sources, the availability of raw materials, and innovations in production methodologies. To maintain the optimization, 6 wt% and 10 wt% of zinc oxide (ZnO) were incorporated into gamma-alumina (γ-Al2O3) through a wet impregnation method followed by calcination at 900 °C. Furthermore, the study examined the effect of alcohol/oil molar ratio, reaction temperature, and reaction time on the process to achieve maximum biodiesel production. The study revealed that a catalyst consisting of 10 wt% ZnO on γ-Al2O3 exhibited exceptional performance with a biodiesel yield of 95.64% under the reaction conditions of a molar ratio of 1:40 oil to methanol, a temperature of 300 °C, a pressure of 9 MPa, and a residence time of 3 min compared to the yield of 100% under same condition at residence time of 9 min. After thorough investigation, the kinetics of the catalytic transesterification reaction were elucidated, and suitable kinetic parameters were proposed.
Factors affecting the prolongation of glycemic time in range among children with type 1 diabetes using continuous glucose monitoring systems: A case control study
Authors: Emilia Kowalczyk-Korcz , Agnieszka Szypowska 
Published: January 2024

Abstract
Background
Time in range is a reliable measure of the risk of diabetes complications. High percentage of patients with diabetes fail to achieve the recommended time in range (TIR) target of 70–180 mg/dl (3.9–10 mmol/l) >70%.

Objective
This study aimed to identify factors influencing TIR prolongation.

Methods
Children aged 1–17 years with >1-year type 1 diabetes (T1D) duration, treated with continuous subcutaneous insulin infusion (CSII) ≥3 months, using continuous glucose monitoring (CGM) or intermittently scanned CGM (is-CGM) ≥1 month, and with a registration time >70% were included. Data were collected during routine diabetology visits at an outpatient clinic. Insulin pump and CGM or is-CGM reports in the most recent 14 days were recorded using a dedicated software. Legal caregivers were also asked to complete a questionnaire on how the patients use the insulin pump functions and eating habits.

Results
A sample of 110 patients was categorized into two groups: those with TIR >70% and TIR ≤70%. TIR ≤70% group presented with repeated hyperglycemia and a high glycemic variability coefficient of variation. We noted an acceptable hypoglycemia rate (3%), regardless of the TIR value. Patients with TIR >70% predominantly used predictive low glucose suspend system, maintained adequate intervals between insulin delivery and meal consumption, used the “bolus calculator” function, and more frequently created electronic reports.

Conclusions
Hyperglycemia and high glycemic variability prevent patients from achieving the target TIR. Advanced features in the CGM systems, premeal insulin bolus, and patients’ involvement in diabetes treatment are the main factors contributing to TIR prolongation.
Critical Role of Coopetition Among Supply Chains for Blockchain Adoption: Review of Reviews and Mixed-Method Analysis
Authors: Faisal Mohd. Nishat , Sabir Lamay Bin , AlNaimi Maryam Saad , Sharif Khurrum J. , Uddin S. M. Fatah 
Published: January 2024

AbstractThe major purpose of this study is to investigate the role of coopetition among supply chains in blockchain adoption leading to sustainability in supply chains. This research uses a three-step process. First, a review of reviews is conducted to search the variables that would positively influence adoption of blockchain in supply chain. In the second step, total interpretive structural modeling (TISM) was utilized to understand the relationships among the enablers. Following the qualitative phase, an empirical study was conducted to test the hypotheses related to the mediating role of coopetition. Review of reviews identified 17 variables that can positively influence blockchain adoption in supply chain. The findings of TISM model revealed the hierarchical relationship among the enablers of blockchain adoption for supply chain management based on their relative importance. The results of the SEM-based study indicated that ‘coopetition’ plays a mediating role between the driver and dependent variables leading to sustainable supply chain. The research offers practical insights to integrate blockchain application in the supply chains leading to better supply chain transparency and ultimately sustainability. The research would support managers to develop suitable strategies to strengthen mechanism to enhance coopetition among competing supply chain to realize the benefits of emerging technologies. The originality of the study lies in the study of variables that influence blockchain adoption in supply chain using a mixed-method approach. Further, the research establishes the critical role of coopetition in achieving the benefits of blockchain adoption.
Contributions of Positive Psychology to Higher Education Across Asia: A Scoping Review and Unifying Thematic Framework
Authors: Hall Deborah A. , Juliana Jesika , Manickam Mageswary , Sunil Singh Anil Singh Toor , Wei Sylvia Tan Sze , Vuong Phuong Anh , Wu Feifei , Firdaus Amira 
Published: January 2024

AbstractPositive psychology offers a scientific window onto understanding and enhancing the welfare and growth of university communities, and as well as improving academic performance. This holistic approach is on the rise, yet most research is conducted in Western countries. This situation prevails despite the fact that two-thirds of the world’s population live in Asia. This review collated and synthesised published work on applications of positive psychology in higher education conducted in Asia, to describe the current status, explore conceptual perspectives and identify knowledge gaps. A total of 147 articles (157 experimental studies), published since 2000, were included. These were descriptive explorations (12.1%), quantifying associations between positive psychology constructs (62.4%), interventions (19.7%), and psychometric evaluations (5.7%). Key topics were academic leadership, organisational commitment, student engagement and foreign language learning. The thematic framework centered on ‘Optimal Functioning’, with ‘Personal Resources One Can Draw On’ and ‘How One Interacts With The World’ as direct influencing factors, and ‘Environment’ as an indirect factor. Across the Asian region, positive psychology’s major contribution is to identify what types of personal resources are associated with optimal functioning in higher education, but there is little high-quality evidence for intervention benefits, nor a deep understanding of how those resources can be effectively deployed to achieve well-being. As part of the third-wave positive psychology movement, scholars in Asia can play a greater leading role in re-evaluating traditional Western concepts to account for the socio-cultural context in which students and staff are embedded.
Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Authors: Zhang Zhongping , Jia Yin , Hou Yuehan , Yu Xinlu 
Published: January 2024

AbstractMulti-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary behaviors for user modeling, which can alleviate the problem of data sparsity faced by traditional recommendation systems. The key point of multi-behavior recommendation systems is to make full use of the auxiliary behavior information for the learning of user preferences. However, there are two challenges in existing methods that need to be explored: (1) capturing personalized user preferences based on multiple auxiliary behaviors, especially for negative feedback signals; and (2) explicitly modeling the semantics between auxiliary and target behaviors, and learning the explicit interactions between multiple behaviors. To tackle the two problems described above, we propose a novel model, called explicit behavior interaction with heterogeneous graph for multi-behavior recommendation (MB-EBIH). In particular, we first construct a heterogeneous behavior graph, including both positive and negative behaviors. A pre-trained model based on graph neural network (GNN) is then used to generate explicit behavior interaction values as the edge weights for the heterogeneous behavior graph. These weights reflect the importance of each of the auxiliary behaviors in an explicit manner. Finally, the extracted explicit behavior interaction information is incorporated into the multi-behavior user–item bipartite graphs to learn better representations. Experimental results on four real-world datasets demonstrate the effectiveness of our model in terms of exploring multi-behavioral data; and ablation and analysis experiments further demonstrate the effectiveness of explicit behavior interaction information.
Making Archaeological Collections More Findable and Accessible through Increased Coordination
Authors: Neller Angela , Heckman Jasmine , Bollwerk Elizabeth , Myers Kelsey Noack , Wells Josh 
Published: January 2024

AbstractArchaeologists seek to improve our understanding of the past by studying, preserving, protecting, and sharing nonreplaceable archaeological resources. Archaeological collections hold information that can assist these aims as long as they are properly cared for, identified, and accessible. One of the most serious barriers is the lack of large-scale coordinated efforts to make archaeological collections findable and accessible. This article suggests that developing and implementing the use of a standardized set of attributes regarding collections provides solutions and strategies to find collections. These attributes can connect and standardize existing archaeological collections from a variety of sources (federal and state agencies, CRM firms, Indigenous and descendant communities, and academic departments), serving the profession in multiple ways. Most critically, the baseline data can be synthesized to inform and direct priorities for future fieldwork, thereby decreasing redundancy in archaeological collections and improving curation efforts nationwide. Such efforts would also provide a resource to students and researchers looking to understand and interpret the past at multiple scales by encouraging more collections-based research and less archaeological site destruction. Access for descendant communities will also be improved with information about their cultural heritage. This, in turn, encourages transparency and collaboration between those communities and archaeologists.
POINCARÉ–WEYL’S PREDICATIVITY: GOING BEYOND
$\Gamma _{0}$
Authors: AVRON ARNON 
Published: January 2024

AbstractOn the basis of Poincaré and Weyl’s view of predicativity as invariance, we develop an extensive framework for predicative, type-free first-order set theory in which
$\Gamma _0$
and much bigger ordinals can be defined as von Neumann ordinals. This refutes the accepted view of
$\Gamma _0$
as the “limit of predicativity”.
Development of a sea-ice tank system for measuring microwave properties of sea ice
Authors: Nakayama Masashige , Naoki Kazuhiro , Tanikawa Tomonori , Cho Kohei 
Published: January 2024

Abstract
An outdoor sea-ice tank system for measuring the microwave properties of sea ice has been developed. With the natural cooling and the help of a cooling unit in the movable roof attached to the tank, the system can grow sea ice to about 50 cm thickness continuously without the effects of snowfall and/or melting. Portable microwave radiometers are attached beside the tank to measure the brightness temperature of the ice. As sea ice grows, the system can measure microwave brightness temperature, and seawater/ice temperature at each depth and thickness of sea ice. The bulk salinity of sea ice is measured by sampling. The following results were obtained from experiments conducted during two winters. (1) Rapid desalination was observed during the early stages of growth with ice thicknesses of 0–5 cm. (2) A new relational expression between ice thickness and bulk salinity at this thickness was obtained. (3) The rapid rise in microwave brightness temperature associated with the increase in sea-ice thickness during the early stages of sea-ice growth was captured in each frequency band. The microwave measurements from the sea-ice tank system are expected to provide new insights into the microwave properties of sea ice.