bluuebunny/crossref_metadata_2025_split huggingface dataset:
X-ray dynamical diffraction by quasi-monolayer graphene
Authors: Skakunova Olena S. , Olikhovskii Stepan I. , Radchenko Taras M. , Lizunova Svitlana V. , Vladimirova Tetyana P. , Lizunov Vyacheslav V. 
Published: September 2023

AbstractWe study the processes of dynamical diffraction of the plane X-ray waves on the graphene film/SiC substrate system in the case of the Bragg diffraction geometry. The statistical dynamical theory of X-ray diffraction in imperfect crystals is applied to the case of real quasi-two-dimensional systems. The necessity of the taking into account of the variability of the lattice parameter of multilayer graphene, as well as the influence of thickness on the thermal Debye–Waller factor at the calculation of the complex structural factors and Fourier components of polarizability, is demonstrated. It is shown that the change of the structural characteristics of the 3-layer graphene/substrate system, as well as its strained state, leads to a significant change in the diffraction profiles, which makes it possible to determine the characteristics by the X-ray diffraction method.
Transcriptome analysis revealed enrichment pathways and regulation of gene expression associated with somatic embryogenesis in Camellia sinensis
Authors: Li Hao-Zhen , Wu Hui , Song Kang-Kang , Zhao Hui-Hui , Tang Xiao-Yan , Zhang Xiao-Hua , Wang Di , Dong Shao-Lin , Liu Feng , Wang Jun , Li Zhong-Cong , Yang Long , Xiang Qin-Zeng 
Published: September 2023

AbstractThe high frequency, stable somatic embryo system of tea has still not been established due to the limitations of its own characteristics and therefore severely restricts the genetic research and breeding process of tea plants. In this study, the transcriptome was used to illustrate the mechanisms of gene expression regulation in the somatic embryogenesis of tea plants. The number of DEGs for the (IS intermediate stage)_PS (preliminary stage), ES (embryoid stage)_IS and ES_PS stages were 109, 2848 and 1697, respectively. The enrichment analysis showed that carbohydrate metabolic processes were considerably enriched at the ES_IS stage and performed a key role in somatic embryogenesis, while enhanced light capture in photosystem I could provide the material basis for carbohydrates. The pathway analysis showed that the enriched pathways in IS_PS process were far less than those in ES_IS or ES_PS, and the photosynthesis and photosynthetic antenna protein pathway of DEGs in ES_IS or ES_PS stage were notably enriched and up-regulated. The key photosynthesis and photosynthesis antenna protein pathways and the Lhcb1 gene were discovered in tea plants somatic embryogenesis. These results were of great significance to clarify the mechanism of somatic embryogenesis and the breeding research of tea plants.
The offline cash puzzle solved by a local blockchain
Authors: Videira Henrique de Carvalho 
Published: September 2023

AbstractA major drawback in deploying central bank digital currencies (CBDC) is the offline puzzle, which requires that a CBDC must keep the liquidity provision given by cash, and, simultaneously, avoid double‐spending, cloning, and other issues. The puzzle is solved by minting the coins in serial numbers, which are stored on a local blockchain inside a smartphone or EMV card. The local blockchain is strengthened by a two‐stage approval architecture that mitigates attacks and enables non‐repudiation handling. The coins are protected by hardware keys embedded in the microchip and can be continuously mined by the wallet to enhance security. The coins can be either minted as hot coins, which can be retrieved in case of loss, or minted as cold coins, like physical cash.
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction
Authors: Werthen‐Brabants Lorin , Dhaene Tom , Deschrijver Dirk 
Published: September 2023

AbstractA primary task of Non‐intrusive Load Monitoring (NILM) is the identification of appliances that are switched on or off. However, state‐of‐the‐art machine learning methods such as deep learning do not express uncertainty of their predictions. Especially in cases where appliances are confused, it is desirable that an NILM system can suggest multiple possible predictions to the end‐user, including its confidence and credibility of any given prediction. This can be achieved using conformal prediction, being an effective way to quantify uncertainty of a given machine learning model. In this work, conformal prediction is introduced for NILM and applied to a neural network. The approach is explained and supported by several examples.
An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems
Authors: Abubakar Aliyu Ahmed , Liu Jinshuo , Gilliard Ezekia 
Published: September 2023

AbstractIntrusion Detection System (IDS) is a critical cybersecurity task that involves monitoring network traffic for malicious activity and taking appropriate action to stop it. However, insufficient training data or improperly chosen thresholds often limit the accuracy of such systems, resulting in high false‐positive rates. To improve the accuracy of an IDS, blockchain technology can be used as it provides a secure, decentralized, immutable ledger that can track suspicious activity over time and also identify intrusions globally. In this paper, the authors propose a novel methodology to improve the accuracy of blockchain‐based IDS. The approach combines different intrusion detection algorithms using a blockchain‐integrated architecture. It is based on the fusion principle and weighted votes, which the authors used to determine their results. The authors tested the system on DARPA 99 and MIT‐Lincoln Labs datasets using accuracy and false‐positive rate as their two metrics. The system achieved 92.6% accuracy and 7.4% false‐positive rates, indicating that the proposed system significantly increases the accuracy while reducing the false‐positive rate, opening up new opportunities for the development of highly accurate networks.
Surface passivation of random alloy AlGaAsSb avalanche photodiode
Authors: Cao Peng , Peng Hongling , Wang Tiancai , Srivastava Vibha , Kesaria Manoj , You Minghui , Zhuang Qiandong , Zheng Wanhua 
Published: September 2023

AbstractAlGaAsSb attracts significant interest for near‐infrared avalanche photodiodes (APD). The authors report a two‐order reduction in the dark current and a six‐time enhancement of gain in random alloy (RA) AlGaAsSb APD that is surface passivated by conformal coating of Al2O3 via atomic layer deposition (ALD). The dark currents of the APDs with 400‐µm diameter (dry etched) at 90% breakdown voltage (0.9 Vbr) are (5.5 ± 0.5) × 10−5 A, (2.1 ± 0.4) × 10−5 A, and (6.2 ± 0.8) × 10−7 A for non‐passivated, Si3N4 passivated, and Al2O3 passivated devices, respectively. The dark current at a gain of 10 for the Al2O3 passivated device is 1 × 10−8 A which is comparable to the reported value for 100‐µm diameter mesa diodes passivated by SU‐8. Maximum gain values of 6, 12, and 35 were obtained for non‐passivated, Si3N4 passivated, and Al2O3 passivated devices, respectively. Moreover, punch‐through capacitance of 8 pF in a spectral response of 450 to 850 nm was obtained. Thus, Al2O3 passivation can be the best solution for antimonide optoelectronic devices.
In vitro analysis of antibacterial activity against wound pathogens, potential for wound healing, and anti‐melanoma properties of biosynthesized zinc oxide nanoparticles
Authors: Jindaruk Ananya , Jaithon Titiradsadakorn , T‐Thienprasert Jiraroj , T‐Thienprasert Nattanan Panjaworayan 
Published: September 2023

AbstractStaphylococcus aureus is the most common cause of wound infections. Infected wounds increase wound severity and have a slower rate of healing. Moreover, emergence of multiple‐drug resistant bacteria such as methicillin‐resistant S. aureus (MRSA) limited treatment options. This study was therefore aimed to evaluate antibacterial activity against wound pathogen and wound‐healing properties of green synthesized ZnO nanoparticles derived from mangosteen peel crude extract (ZnO‐Gm). Moreover, their anti‐skin cancer activity was also investigated in vitro. As a result, the ZnO‐Gm particles significantly inhibited growth of S. aureus and MRSA with the IC50 values at 0.44 and 0.51 mg/mL, respectively. By performing quantitative reactive oxygen species (ROS) assay, the intracellular ROS in both treated S. aureus and MRSA with ZnO‐Gm was found to be significantly elevated. Furthermore, ZnO‐Gm exhibited cytotoxic effects via induction of apoptosis on the A375 melanoma cancer cell line, with an IC50 value of 8.91 µg/mL, while not affecting the normal cell line (Vero). In addition, 30 µg/mL of ZnO‐Gm could strongly promote wound healing of an epidermal keratinocyte cell line (HaCaT). Consequently, the findings of this study demonstrated that the green synthesized ZnO nanoparticles have potential as antibacterial agents, wound‐healing materials, and anti‐melanoma agents.
Solar photospheric spectrum microvariability
Authors: Dravins Dainis , Ludwig Hans-Günter 
Published: September 2023

Context. Extreme precision radial-velocity spectrometers enable extreme precision in stellar spectroscopy. Searches for low-mass exoplanets around solar-type stars are limited by various types of physical variability in stellar spectra, such as the short-term jittering of apparent radial velocities on levels of ∼2 m s−1.
Aims. To understand the physical origins of radial-velocity jittering, the solar spectrum is assembled, as far as possible, from basic principles. Solar surface convection is modeled with time-dependent 3D hydrodynamics, followed by the computation of high-resolution spectra during numerous instances of the simulation sequence. The behavior of different classes of photospheric spectral lines is monitored throughout the simulations to identify commonalities or differences between different classes of lines: weak or strong, neutral or ionized, high or low excitation, atomic or molecular.
Methods. Synthetic spectra were examined. With a wavelength sampling λ/Δλ ∼ 1 000 000, the changing shapes and wavelength shifts of unblended and representative Fe I and Fe II lines were followed during the simulation sequences. The radial-velocity jittering over the small simulation area typically amounts to ±150 m s−1, scaling to ∼2 m s−1 for the full solar disk. Flickering within the G-band region and in photometric indices of the Strömgren uvby system were also measured, and synthetic G-band spectra from magnetic regions are discussed.
Results. Most photospheric lines vary in phase, but with different amplitudes among different classes of lines. Amplitudes of radial-velocity excursions are greater for stronger and for ionized lines, decreasing at longer wavelengths. Matching precisely measured radial velocities to such characteristic patterns should enable us to remove a significant component of the stellar noise originating in granulation.
Conclusions. The granulation-induced amplitudes in full-disk sunlight amount to ∼2 m s−1; the differences between various line groups are an order of magnitude less. To mitigate this jittering, a matched filter must recognize dissimilar lineshifts among classes of diverse spectral lines with a precision of ∼10 cm s−1 for each line group. To verify the modeling toward the filter, predictions of center-to-limb dependences of jittering amplitudes for different classes of lines are presented, testable with spatially resolving solar telescopes connected to existing radial-velocity instruments.
Effect of salt, alkali and combined stresses on root system architecture and ion profiling in a diverse panel of oat (Avena spp.)
Authors: Ahmed Shahid , Patel Richa , Rana Maneet , Kumar Neeraj , I Indu , Choudhary Mukesh , Chand Subhash , Singh Amit Kumar , Ghosh Avijit , Singhal Rajesh Kumar 
Published: September 2023

The co-occurrence of salinisation and alkalisation is quite frequent in problematic soils and poses an immediate threat to food, feed and nutritional security. In the present study, root system architectural traits (RSAs) and ion profiling were evaluated in 21 genotypes of Avena species to understand the effect of salinity–alkalinity stress. The oat genotypes were grown on germination paper and 5-day-old seedlings were transferred to a hydroponic system for up to 30 days. These seedlings were subjected to seven treatments: T0, treatment control (Hoagland solution); T1, moderate salinity (50 mM); T2, high salinity (100 mM); T3, moderate alkalinity (15 mM); T4, high alkalinity (30 mM); T5, combined moderate salinity–alkalinity (50 mM + 15 mM); and T6, combined high salinity–alkalinity (100 mM and 30 mM) by using NaCl + Na2SO4 (saline) and NaHCO3 + Na2CO3 (alkaline) salts equivalently. The root traits, such as total root area (TRA), total root length (TRL), total root diameter (TRD), total root volume (TRV), root tips (RT), root segments (RS), root fork (RF) and root biomass (RB) were found to be statistically significant (P < 0.01) among the different genotypes, treatments and their interactions. Na+ and K+ content analysis in root and shoot tissues revealed the ion homeostasis capacity of different Avena accessions under stress treatments. Principal component analysis (PCA) covered almost 83.0% of genetic variation and revealed that the sharing of TRA, RT, RS and RF traits was significantly high. Biplot analysis showed a highly significant correlation matrix (P < 0.01) between the pairs of RT and RS, TRL and RS, and RT and RF. Based on PCA ranking and relative value for stress tolerance, IG-20-1183, IG-20-894, IG-20-718 and IG-20-425 expressed tolerance to salinity (T2), IG-20-425 (alkalinity; T4) and IG-20-1183, IG-20-894 and IG-20-1004 were tolerant to salt–alkali treatment (T6). Multi-trait stability index (MTSI) analysis identified three stable oat genotypes (IG-20-714, IG-20-894 and IG-20-425) under multiple environments and these lines can be used in salinity–alkalinity affected areas after yield trials or as donor lines for combined stresses in future breeding programs.
What Does the MacArthur Scale of Subjective Social Status Measure? Separating Economic Circumstances and Social Status to Predict Health
Authors: Galvan Manuel J , Payne B Keith , Hannay Jason , Georgeson Alexis R , Muscatell Keely A 
Published: September 2023

AbstractBackgroundSubjective socioeconomic status is robustly associated with many measures of health and well-being. The MacArthur Scale of Subjective Social Status (i.e., the MacArthur ladder) is the most widely used measure of this construct, but it remains unclear what exactly the MacArthur ladder measures.PurposeThe present research sought to explore the social and economic factors that underlie responses to the MacArthur ladder and its relationship to health.MethodsWe investigated this issue by examining the relationship between scores on the MacArthur ladder and measures of economic circumstances and noneconomic social status, as well as health and well-being measures, in healthy adults in the USA.ResultsIn three studies (total N = 1,310) we found evidence that economic circumstances and social status are distinct constructs that have distinct associations with scores on the MacArthur ladder. We found that both factors exhibit distinct associations with measures of health and well-being and accounted for the association between the MacArthur ladder and each measure of health and well-being.ConclusionsOur findings suggest that the MacArthur ladder’s robust predictive validity may result from the fact that it measures two factors—economic circumstances and social status—that are each independently associated with health outcomes. These findings provide a novel perspective on the large body of literature that uses the MacArthur ladder and suggests health researchers should do more to disentangle the social and economic aspects of subjective socioeconomic status.
The Paper-Engineered Pumpkin King: Exposing the Movable Impulse of Tim Burton’s The Nightmare Before Christmas
Authors: Coates Jodie 
Published: September 2023

ABSTRACT
The Nightmare Before Christmas’ director, Henry Selick, tells us that watching the film should be like opening a pop-up book. Clean-cut silhouettes, fingerprints and grooves, hidden surprises, and playful subversiveness are as integral to Nightmare’s production design as they are typical of the pop-up book form. In this article, I will examine this symmetry and discuss how Selick’s vision of a living illustration connects to the range of paper-engineered transmedia toys, books, and seasonal tokens that the film inspired. An early example is A Super Pop-Up (1993)—a charming gift book which positions the reader as a pseudo-stop-motion-animator, bending over doublespread dioramas to slide paper-cut characters into position. More recently, Reinhart’s elaborate Petrifying Pop-Up for the Holidays (2018) showcases several contemporary devices that re-create specific filmic shots. Other notable Disney-endorsed merchandise includes a Pop-Up Advent Calendar (2019), featuring an impressively tall Gothmas-esque tree, and elegant pop-up Halloween and Valentine’s cards produced by Hallmark and Lovepop. Each item treads the line between spirited plaything and fragile ornament, theatrical spectacle, and interactive artwork—a blurring of binaries that echoes the experimental artistry of Nightmare and continues to delight both young fans and adult collectors. Perhaps unsurprisingly, creative fans also appreciate Nightmare’s suitability for paper-craft, sharing printable DIY templates and paper-cut fan-art. I will demonstrate how the Victorian flavour of Nightmare, the affordances of stop-motion, and the film’s stylistic and branding choices combine to emulate and elevate the nostalgic practice of ‘making Christmas’ from the humblest of materials—paper.
Diversity, biology, and management of the pear psyllids: a global look
Authors: Civolani Stefano , Soroker Victoria , Cooper W Rodney , Horton David R 
Published: September 2023

AbstractThe pear psyllids (Cacopsylla Ossiannilsson; Hemiptera: Psylloidea: Psyllidae) are a taxonomically difficult group of at least 24 species native to the Palaearctic region. One or more species occur in most pear-growing regions, in some cases as invasive introductions. Existing reviews of this group are primarily of taxonomic focus with limited overviews of biology. The earliest biological studies of the pear psyllids centered on a core group of a few western European species. In part, this focus arose because diversity of the pear psyllids was poorly understood. As taxonomic understanding has advanced over the last 3 decades, research has expanded taxonomically. Increasing difficulties in controlling the pear psyllids additionally has contributed to growth in research. Here, we review a now-extensive literature on diversity, biology, and management of the pear psyllids. Three broad observations emerged from this synthesis. First, large gaps in biological understanding of the pear psyllids persist for several geographic faunas, most notably for psyllids of the Eastern Palaearctic region. Second, taxonomic diversity is accompanied by biological diversity. Despite the commonality in host use among the pear psyllids, with each species being limited to development on Pyrus, striking differences exist among species in life cycles, wintering, and other biological traits. Third, many of the tools being used to manage pear psyllids today are in existence because of the long history of basic research which has targeted these pests. These tools include new insecticides of higher selectivity, various cultural and horticultural tactics, and practices that conserve natural enemies in orchards.
Are older adults considered in asthma and chronic obstructive pulmonary disease mobile health research? A scoping review
Authors: Kouri Andrew , Wong Eric K C , Sale Joanna E M , Straus Sharon E , Gupta Samir 
Published: September 2023

Abstract

Background
The use of mobile health (mHealth) for asthma and chronic obstructive pulmonary disease (COPD) is rapidly growing and may help address the complex respiratory care needs of our ageing population. However, little is currently known about how airways mHealth is developed and used among older adults (≥65 years).

Objective
To identify if and how older adults with asthma and COPD have been incorporated across the mHealth research cycle.

Methods
We searched Ovid MEDLINE, EMBASE, CINAHL and the Cochrane Central Registry of Controlled Trials for studies pertaining to the development or evaluation of asthma and COPD mHealth for adults published after 2010. Study, participant and mHealth details, including any considerations of older age, were extracted, synthesised and charted.

Results
A total of 334 studies of 191 mHealth tools were identified. Adults ≥65 years old were included in 33.3% of asthma mHealth studies and 85.3% of COPD studies. Discussions of older age focused on barriers to technology use. Methodologic and/or analytic considerations of older age were mostly absent throughout the research cycle. Among the 28 instances quantitative age-related analyses were detailed, 12 described positive mHealth use and satisfaction outcomes in older adults versus negative or equivocal outcomes.

Conclusion
We identified an overall lack of consideration for older age throughout the airways mHealth research cycle, even among COPD mHealth studies that predominantly included older adults. We also found a contrast between the perceptions of how older age might negatively influence mHealth use and available quantitative evaluations. Future airways mHealth research must better integrate the needs and concerns of older adults.
Investigating predictors of progression from mild cognitive impairment to Alzheimer’s disease based on different time intervals
Authors: Wu Yafei , Wang Xing , Gu Chenming , Zhu Junmin , Fang Ya 
Published: September 2023

Abstract

Background
Mild cognitive impairment (MCI) is the early stage of AD, and about 10–12% of MCI patients will progress to AD every year. At present, there are no effective markers for the early diagnosis of whether MCI patients will progress to AD. This study aimed to develop machine learning-based models for predicting the progression from MCI to AD within 3 years, to assist in screening and prevention of high-risk populations.

Methods
Data were collected from the Alzheimer's Disease Neuroimaging Initiative, a representative sample of cognitive impairment population. Machine learning models were applied to predict the progression from MCI to AD, using demographic, neuropsychological test and MRI-related biomarkers. Data were divided into training (56%), validation (14%) and test sets (30%). AUC (area under ROC curve) was used as the main evaluation metric. Key predictors were ranked utilising their importance.

Results
The AdaBoost model based on logistic regression achieved the best performance (AUC: 0.98) in 0–6 month prediction. Scores from the Functional Activities Questionnaire, Modified Preclinical Alzheimer Cognitive Composite with Trails test and ADAS11 (Unweighted sum of 11 items from The Alzheimer’s Disease Assessment Scale-Cognitive Subscale) were key predictors.

Conclusion
Through machine learning, neuropsychological tests and MRI-related markers could accurately predict the progression from MCI to AD, especially in a short period time. This is of great significance for clinical staff to screen and diagnose AD, and to intervene and treat high-risk MCI patients early.