bluuebunny/crossref_metadata_2025_split huggingface dataset:
A case study: A SWOT analysis of small-scale rainwater harvesting system in Batu Pahat
Authors: Mostaffa M F , Noh H M , Musa S M S 
Published: July 2023

Abstract
Rainwater harvesting is a common practice of storing water in a container before it will be used for other purposes. On a domestic scale, homeowners with a rainwater harvesting system (RWHS) installed in their houses faced challenges to maintain and use the stored water. Therefore, this study aims to identify strengths, weakness, opportunities, and threats (SWOT) of conventional domestic small-scale RWHS. A comprehensive opinion of the conventional domestic RWHS is gathered through a series of semi-structured interview with homeowners in Batu Pahat district. The result indicates the afterthought design of RWHS leads to bigger problems such as difficult to maintain, unknown water quality, hazards for children, fixed and undesirable design. The authors conclude by presenting the results in the form of SWOT analysis and offering some recommendations to mitigate existing problems addressed in this study.
Process considerations for Aerosol-Jet printing of ultra fine features
Authors: Gramlich Georg , Huber Robert , Häslich Florian , Bhutani Akanksha , Lemmer Uli , Zwick Thomas 
Published: July 2023

Abstract
In recent years, Aerosol-Jet (AJ) printing has become an increasingly popular technology applied in research ranging from the biomedical field to military applications to printed semiconductors. Extensive efforts have been made to understand the influence of process parameters and the underlying physical principles. Nevertheless, little attention has been paid to the optimization of ultra-small and highly precise printed features. Pushing the printer to its limits and manufacturing structures as small as tens of microns with a micrometer accuracy poses significant challenges, because effects that can be ignored for printing large features play a crucial role. This study demonstrates how the printing speed quickly causes intolerable distortions. In contrast to large-feature printing, the printing speed cannot be used as a free parameter to set the print thickness. We will discuss the non-constant printing behavior induced by the divert/boost shutter and present shutter on the fly as a solution to many problems, but only if the subroutine code is optimized. The modifications made to the code are disclosed in this paper for the first time. Knowing that printing precise features often results in a high print thickness, we will briefly discuss the issue of cracks caused by the drying of thick nanoparticle films. Altogether, this paper presents a range of important considerations for AJ printing ultra-fine features and an interesting insight into the particularities of operating the printer at its limits.
Wearable and printable devices for electrolytes sensing
Authors: Wang Yanfang , Ma Suman , Hu Linyu , Fan Zhiyong , Lin Yuanjing 
Published: July 2023

Abstract
With the development of biotechnology and the miniaturization of sensors, wearable devices have attracted extensive attention for real-time and non-invasive health monitoring at the molecular level. Among these, sensors for electrolytes analysis play an essential role in monitoring body physiological functions and metabolic activities. Herein, this review firstly summarizes the recent advances in electrolytes sensing via wearable devices, focusing on the most commonly adopted ion-selective electrodes, optical sensors and sensing platforms for effective body fluid collection and analysis. Innovative strategies based on nanomaterials engineering to achieve biosensing reliability, mechanical robustness as well as biocompatibility are also presented. Moreover, novel printable fabrication approaches to realize integrated wearable sensing systems with desirable compatibility and versatility are introduced. Finally, the challenges for practical applications and the perspectives on accurate and multi-functional sensing based on integrated wearable devices are discussed.
Longitudinal associations between β-amyloid and cortical thickness in mild cognitive impairment
Authors: Mak Elijah , Zhang Liwen , Tan Chin Hong , Reilhac Anthonin , Shim Hee Youn , Wen Marcus Ong Qin , Wong Zi Xuen , Chong Eddie Jun Yi , Xu Xin , Stephenson Mary , Venketasubramanian Narayanaswamy , Zhou Juan Helen , O’Brien John T , Chen Christopher Li-Hsian 
Published: July 2023

AbstractHow beta-amyloid accumulation influences brain atrophy in Alzheimer's disease remains contentious with conflicting findings. We aimed to elucidate the correlations of regional longitudinal atrophy with cross-sectional regional and global amyloid in individuals with mild cognitive impairment and no cognitive impairment. We hypothesized that greater cortical thinning over time correlated with greater amyloid deposition, particularly within Alzheimer’s disease characteristic regions in mild cognitive impairment, and weaker or no correlations in those with no cognitive impairment. 45 patients with mild cognitive impairment and 12 controls underwent a cross-sectional [11C]-Pittsburgh Compound B PET and two retrospective longitudinal structural imaging (follow-up: 23.65 ± 2.04 months) to assess global/regional amyloid and regional cortical thickness, respectively. Separate linear mixed models were constructed to evaluate relationships of either global or regional amyloid with regional cortical thinning longitudinally. In patients with mild cognitive impairment, regional amyloid in the right banks of the superior temporal sulcus was associated with longitudinal cortical thinning in the right medial orbitofrontal cortex (P = 0.04 after False Discovery Rate correction). In the mild cognitive impairment group, greater right banks amyloid burden and less cortical thickness in the right medial orbitofrontal cortex showed greater visual and verbal memory decline over time, which was not observed in controls. Global amyloid was not associated with longitudinal cortical thinning in any locations in either group. Our findings indicate an increasing influence of amyloid on neurodegeneration and memory along the preclinical to prodromal spectrum. Future multimodal studies that include additional biomarkers will be well-suited to delineate the interplay between various pathological processes and amyloid and memory decline, as well as clarify their additive or independent effects along the disease deterioration.
The mismatch negativity as an index of cognitive abilities in adults with Down syndrome
Authors: Saini Fedal , Masina Fabio , Wells Jasmine , Rosch Richard , Hamburg Sarah , Startin Carla , Strydom André 
Published: July 2023

Abstract
Down syndrome (DS) is associated with an ultra-high risk of developing Alzheimer’s disease (AD). Understanding variability in pre-AD cognitive abilities may help understand cognitive decline in this population. The mismatch negativity (MMN) is an event-related potential component reflecting the detection of deviant stimuli that is thought to represent underlying memory processes, with reduced MMN amplitudes being associated with cognitive decline. To further understand the MMN in adults with DS without AD, we explored the relationships between MMN, age, and cognitive abilities (memory, language, and attention) in 27 individuals (aged 17–51) using a passive auditory oddball task. Statistically significant MMN was present only in 18 individuals up to 41 years of age and the latency were longer than canonical parameters reported in the literature. Reduced MMN amplitude was associated with lower memory scores, while longer MMN latencies were associated with poorer memory, verbal abilities, and attention. Therefore, the MMN may represent a valuable index of cognitive abilities in DS. In combination with previous findings, we hypothesize that while MMN response and amplitude may be associated with AD-related memory loss, MMN latency may be associated with speech signal processing. Future studies may explore the potential impact of AD on MMN in people with DS.
The boundary between real and fictional others in the medial prefrontal cortex is blurred in lonelier individuals
Authors: Broom Timothy W , Wagner Dylan D 
Published: July 2023

Abstract
People spend much of their free time engaging with narrative fiction. Research shows that, like real-life friends, fictional characters can sometimes influence individuals’ attitudes, behaviors, and self-beliefs. Moreover, for certain individuals, fictional characters can stand in for real-life friends by providing the experience of belonging. Despite these parallels between how people think of real and fictional others, it is unclear whether, and to what degree, their neural representations are similar. Does the brain treat psychologically close fictional others as it does close real-world friends, or are real others somehow privileged in their neural representation? In the present study, fans of the HBO series Game of Thrones performed a trait-evaluation task for the self, 9 real-life friends/acquaintances, and 9 fictional characters from Game of Thrones while undergoing functional magnetic resonance imaging. Using both brain decoding and representational similarity analysis, we found evidence of a categorical boundary between real and fictional others within the medial prefrontal cortex. However, the boundary between these categories was blurred in lonelier individuals. These results suggest that lonelier individuals may turn to fictional characters to meet belongingness needs, and this, in turn, alters the manner in which these categories are encoded within the social brain.
The microbiome of the sponge Aplysina caissara in two sites with different levels of anthropogenic impact
Authors: Hardoim Cristiane C P , Hardoim Pablo R , Lôbo-Hajdu Gisele , Custódio Márcio R , Thomas Torsten 
Published: July 2023

Abstract
Despite the important roles that marine sponges play in ecosystem functioning and structuring, little is known about how the sponge holobiont responds to local anthropogenic impacts. Here we assess the influence of an impacted environment (Praia Preta) on the microbial community associated with the endemic sponge Aplysina caissara in comparison to a less-impacted area (Praia do Guaecá) from the coast of São Paulo state (Brazil, southwestern Atlantic coast). We hypothesized that the local anthropogenic impacts will change the microbiome of A. caissara and that the community assembly will be driven by a different process (i.e. deterministic versus stochastic) under distinct levels of impact. The microbiome at the amplicon sequence variants level was found to be statistically distinct between sponges from the different sites, and this was also seen for the microbial communities of the surrounding seawater and sediments. Microbial communities of A. caissara from both sites were found to be assembled by deterministic processes, even though the sites presented distinct anthropogenic impacts, showing a pivotal role of the sponge host in selecting its own microbiome. Overall, this study revealed that local anthropogenic impacts altered the microbiome of A. caissara; however, assembly processes are largely determined by the sponge host.
Genomic Analysis of a Scale Worm Provides Insights into Its Adaptation to Deep-Sea Hydrothermal Vents
Authors: He Xing , Wang Hui , Xu Ting , Zhang Yanjie , Chen Chong , Sun Yanan , Qiu Jian-Wen , Zhou Yadong , Sun Jin 
Published: July 2023

Abstract
Deep-sea polynoid scale worms endemic to hydrothermal vents have evolved an adaptive strategy to the chronically hypoxic environment, but its underlying molecular mechanisms remain elusive. Here, we assembled a chromosome-scale genome of the vent-endemic scale worm Branchipolynoe longqiensis (the first annotated genome in the subclass Errantia) and annotated two shallow-water polynoid genomes, aiming to elucidate the adaptive mechanisms. We present a genome-wide molecular phylogeny of Annelida which calls for extensive taxonomy revision by including more genomes from key lineages. The B. longqiensis genome with a genome size of 1.86 Gb and 18 pseudochromosomes is larger than the genomes of two shallow-water polynoids, possibly due to the expansion of various transposable elements (TEs) and transposons. We revealed two interchromosomal rearrangements in B. longqiensis when compared with the two shallow-water polynoid genomes. The intron elongation and interchromosomal rearrangement can influence a number of biological processes, such as vesicle transport, microtubules, and transcription factors. Furthermore, the expansion of cytoskeleton-related gene families may favor the cell structure maintenance of B. longqiensis in the deep ocean. The expansion of synaptic vesicle exocytosis genes has possibly contributed to the unique complex structure of the nerve system in B. longqiensis. Finally, we uncovered an expansion of single-domain hemoglobin and a unique formation of tetra-domain hemoglobin via tandem duplications, which may be related to the adaptation to a hypoxic environment.
Periodic surface loading using GRACE data for a layered viscoelastic earth model based on a direct relationship between geoid and displacement
Authors: Tang He , Zhang Lan , Sun Wenke 
Published: July 2023

SUMMARY
Loading theory is fundamental in explaining deformation resulting from surface mass changes. Although various theoretical methods, including the classical elastic loading theory by W. E. Farrell and I. M. Longman, have been proposed, a viscoelasticity-based theory may be required to address long timescale loading problems, such as annual and interannual deformation, as well as longer timescale loading effects. In this study, we use a semi-analytical approach to simulate the continuous periodic loading deformation of a viscoelastic, spherical, layered earth model with linear rheology profiles. We provide a series of formulas in the spectral domain for the spatiotemporal displacement, which establish connections between mass, geoid and displacement solely through the utilization of complex Love numbers and Stokes coefficients, thereby circumventing the need for viscoelastic Green's function. Using our newly proposed method, we investigate the viscoelastic loading deformation caused by annual cyclic mass loading, considering both steady-state creep and additional transient creep with a wide range of viscosities. The results indicate that when utilizing steady-state viscosity values constrained by GIA data, the viscoelastic effect is not evident in the annual cyclic load deformation. However, incorporating the Burgers model with transient creep mainly constrained by post-seismic deformation influences the amplitude and phase of the annual cyclic loading, highlighting the role of rheology. Furthermore, we observe that the horizontal displacement in periodic load deformation exhibits a higher sensitivity to the viscosity of the model compared to the geoid and vertical displacement, regardless of the rheological model used.
A comprehensive examination of the economic impact of out-of-pocket health expenditures in India
Authors: Nanda Mehak , Sharma Rajesh 
Published: July 2023

Abstract
More than 50% of health expenditure is financed through out-of-pocket payments in India, imposing a colossal financial burden on households. Amidst the rising incidence of non-communicable diseases, injuries, and an unfinished agenda of infectious diseases, this study examines comprehensively the economic impact of out-of-pocket health expenditure (OOPE) across 17 disease categories in India. Data from the latest round of the National Sample Survey (2017–18), titled ‘Household Social Consumption: Health’, were employed. Outcomes, namely, catastrophic health expenditure (CHE), poverty headcount ratio, distressed financing, foregone care, and loss of household earnings, were estimated. Results showed that 49% of households that sought hospitalization and/or outpatient care experienced CHE and 15% of households fell below the poverty line due to OOPE. Notably, outpatient care was more burdensome (CHE: 47.8% and impoverishment: 15.0%) than hospitalization (CHE: 43.1% and impoverishment: 10.7%). Nearly 16% of households used distressed sources to finance hospitalization-related OOPE. Cancer, genitourinary disorders, psychiatric and neurological disorders, obstetric conditions, and injuries imposed a substantial economic burden on households. OOPE and associated financial burden were higher among households where members sought care in private healthcare facilities compared with those treated in public facilities across most disease categories. The high burden of OOPE necessitates the need to increase health insurance uptake and consider outpatient services under the purview of health insurance. Concerted efforts to strengthen the public health sector, improved regulation of private healthcare providers, and prioritizing health promotion and disease prevention strategies are crucial to augment financial risk protection.
Association of iron homeostasis biomarkers in type 2 diabetes and glycaemic traits: a bidirectional two-sample Mendelian randomization study
Authors: Liang Ying , Luo Shan , Wong Tommy Hon Ting , He Baoting , Schooling C Mary , Au Yeung Shiu Lun 
Published: July 2023

Abstract

Background
Mendelian randomization (MR) studies show iron positively associated with type 2 diabetes (T2D) but included potentially biasing hereditary haemochromatosis variants and did not assess reverse causality.

Methods
We assessed the relation of iron homeostasis with T2D and glycaemic traits bidirectionally, using genome-wide association studies (GWAS) of iron homeostasis biomarkers [ferritin, serum iron, total iron-binding capacity (TIBC), transferrin saturation (TSAT) (n ≤ 246 139)], T2D (DIAMANTE n = 933 970 and FinnGen n = 300 483), and glycaemic traits [fasting glucose (FG), 2-h glucose, glycated haemoglobin (HbA1c) and fasting insulin (FI) (n ≤ 209 605)]. Inverse variance weighting (IVW) was the main analysis, supplemented with sensitivity analyses and assessment of mediation by hepcidin.

Results
Iron homeostasis biomarkers were largely unrelated to T2D, although serum iron was potentially associated with higher T2D [odds ratio: 1.07 per standard deviation; 95% confidence interval (CI): 0.99 to 1.16; P-value: 0.078) in DIAMANTE only. Higher ferritin, serum iron, TSAT and lower TIBC likely decreased HbA1c, but were not associated with other glycaemic traits. Liability to T2D likely increased TIBC (0.03 per log odds; 95% CI: 0.01 to 0.05; P-value: 0.005), FI likely increased ferritin (0.29 per log pmol/L; 95% CI: 0.12 to 0.47; P-value: 8.72 x 10–4). FG likely increased serum iron (0.06 per mmol/L; 95% CI: 0.001 to 0.12; P-value: 0.046). Hepcidin did not mediate these associations.

Conclusion
It is unlikely that ferritin, TSAT and TIBC cause T2D although an association for serum iron could not be excluded. Glycaemic traits and liability to T2D may affect iron homeostasis, but mediation by hepcidin is unlikely. Corresponding mechanistic studies are warranted.
Causal Order Complex and Magnitude Homotopy Type of Metric Spaces
Authors: Tajima Yu , Yoshinaga Masahiko 
Published: July 2023

Abstract
In this paper, we construct a pointed CW complex called the magnitude homotopy type for a given metric space $X$ and a real parameter $\ell \geq 0$. This space is roughly consisting of all paths of length $\ell $ and has the reduced homology group that is isomorphic to the magnitude homology group of $X$. To construct the magnitude homotopy type, we consider the poset structure on the spacetime $X\times \mathbb{R}$ defined by causal (time- or light-like) relations. The magnitude homotopy type is defined as the quotient of the order complex of an intervals on $X\times \mathbb{R}$ by a certain subcomplex. The magnitude homotopy type gives a covariant functor from the category of metric spaces with $1$-Lipschitz maps to the category of pointed topological spaces. The magnitude homotopy type also has a “path integral” like expression for certain metric spaces. By applying discrete Morse theory to the magnitude homotopy type, we obtain a new proof of the Mayer–Vietoris-type theorem and several new results including the invariance of the magnitude under sycamore twist of finite metric spaces.
Corrigendum to “Sharp Hardy Space Estimates for Multipliers” (Int. Math. Res. Not. 2022 (2022): 10403–30)
Authors: Grafakos Loukas , Park Bae Jun 
Published: July 2023

Abstract
We correct an error in Lemma 4.1 [pages 10420–2] in our article listed in the title. This concerns the cases $s=n$ and $\gamma \leqslant 2$ below, but it does not affect the main results of the article, that is, Theorems 1.1 and 1.2, as only the case $s&lt;n$ is used in the paper.
EfficientNetV2-based dynamic gesture recognition using transformed scalogram from triaxial acceleration signal
Authors: Kim Bumsoo , Seo Sanghyun 
Published: July 2023

Abstract
In this paper, a dynamic gesture recognition system is proposed using triaxial acceleration signal and image-based deep neural network. With our dexterous glove device, 1D acceleration signal can be measured from each finger and decomposed to time-divided frequency components via wavelet transformation, which is known as scalogram as image-like format. To feed-forward the scalogram with single 2D, convolutional neural networks allows the gesture having temporality to be easily recognized without any complex system such as RNN, LSTM, or spatio-temporal feature as 3D CNN, etc. To classify the image with general input dimension of image RGB channels, we numerically reconstruct fifteen scalograms into one RGB image with various representation methods. In experiments, we employ the off-the-shelf model, EfficientNetV2 small-to-large model as an image classification model with fine-tuning. To evaluate our system, we bulid our custom bicycle hand signals as dynamic gesture dataset under our transformation system, and then qualitatively compare the reconstruction method with matrix representation methods. In addition, we use other signal transformation tools such as the fast Fourier transform and short-time Fourier transform and then explain the advantages of scalogram classification in the terms of time-frequency resolution trade-off issue.
Anisotropy evaluation and interface detection based on 3D holographic azimuthal electromagnetic resistivity logging instrument
Authors: Fang Liqi , Bai Yuxin , Guo Shuyu , Liu Xiao , Tang Siyu , Li Xiaoqiu , Xiao Jiaqi 
Published: July 2023

Abstract
3D holographic azimuthal electromagnetic resistivity logging-while-drilling (LWD) is a convenient and efficient technology to obtain information about formation. It has the advantages of being instant and accurate. It can be applied to fields of engineering such as evaluating anisotropy and detecting nearby geological interfaces. A 3D electromagnetic resistivity azimuthal LWD instrument consists of coaxial, coplanar, tilted and orthogonal antenna systems, being able to solve for all nine components. The explicit generic formulation is derived from presenting the response for a basic unit of one arbitrarily oriented transmitter and one arbitrarily oriented receiver. Combining the responses of basic units with different transmitter-receiver spacing and different components, an ‘anisotropy signal’ is defined with the phase difference ${M}_{px}$ and amplitude ratio ${M}_{ax}$. A ‘boundary signal’ is also defined with the phase difference ${M}_{pz}$ and amplitude ratio ${M}_{az}$. Forward simulation results show that the 2MHz ${M}_{px}$ can accurately identify geological anisotropy in highly deviated and horizontal wells. The ${M}_{az}$ can detect geological interfaces in highly deviated and horizontal wells. the 100 kHz${\rm{\ }}{M}_{az}\ $can detect geological boundaries in the range of 8–9 m.