bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing a Highly Sensitive Gold-Coated Circular Photonic Crystal Fiber-based Surface Plasmon Resonance (C-PCF-SPR) Sensor
Authors: Zeydi Maryam Mirasanloo , Amiri Seyed Saleh Ghoreishi , Yousefi Reza , Aderang Habib 
Published: September 2023

Abstract
Wavelength and amplitude sensitivity are two important parameters in the performance of photonic crystal fiber (PCF)-based sensors. In the present study, to achieve the highest amplitude and wavelength sensitivity, a circular photonic crystal fiber surface plasmon resonance (C-PCF-SPR) sensor consisting of three central air holes with external sensing capability and a gold film as an active plasmonic material has been introduced which could obtain the resonance wavelength in the infrared region (at 3,000–3,300 nm). To analyze propagation properties of the proposed structure finite difference eigenmode solver method in Lumerical software has been used. The maximum wavelength and amplitude sensitivity of the proposed structure in refractive index (RI) range of 1.34–1.38 is equal to 18,681 nm/RIU and 942.4699 RIU− 1, respectively. Moreover, the feasibility of the introduced sensor is considered to be very high because of its similar design to the original PCF. Therefore, the proposed highly sensitive C-PCF-SPR sensor is very efficient for detection in nanotechnology, biomedical and biochemical applications.
A 3D-simulation hemodynamic study of the correlation between aortic arch morphology and aortic dissection
Authors: Wang Xianzhi , Liang Jixiang , Mu Cunfu , Zhang Wenlin , xue Chunzhu , He Yang , He Dongquan , Li Dianyuan 
Published: September 2023

Abstract
Background
Reverse tearing and the correlation between aortic arch morphology and aortic dissection were studied with a 3D simulation hemodynamic technique.
Methods
From 2018 to 2023, 140 patients with aortic dissection admitted to Suzhou Hospital affiliated with Nanjing Medical University and Guangyuan First People's Hospital (age 56.5 ± 12.0 years; 52 female) and 143 healthy controls (age 53.1 ± 11.8 years; 50 female) underwent CTA examination of the whole thoracic and abdominal aorta; the diameter of the three branches of the aortic arch, the angle of the branches, the distance of the branches and the type of the aortic arch were recorded and analyzed. By adjusting the parameter values of risk factors, the morphology of the aortic arch and its branches was simulated, and the regional differences in blood flow velocity and shear force in the 3D simulation experiment were used to evaluate the hemodynamics of the aortic arch.
Results
Compared with healthy controls, patients with aortic dissection had an angle of the left subclavian artery (OR = 0.841, 95% CI = 0.752–0.942, P = 0.003). The length of the ascending aorta (OR = 0.935, 95% CI = 0.885–0.998, P = 0.017). The bifurcation of the LSA in patients with aortic dissection is the position where WSS in the aortic arch is the highest (compared with other parts of the aortic arch). Compared with patients with nonaortic dissection, the left subclavian artery angle WSS significantly differed. The location of the damaged dissection was categorized as type 1 (Z3) and type 2 (Z2 + Z3). The comparative analysis of the data on the arch in the two groups indicated that the left subclavian angle (P < 0.05) was an independent risk factor. The maximum shear force of the aortic arch was at the LSA bifurcation, and the WSS mean of type 1 and type 2 (10.48 ± 3.09 vs. 21.57 ± 7.31 Pa, p = 0.0001). The LPD of type 1 and type 2 (2.53 ± 2.14 vs. 13.83 ± 8.87 Pa, p = 0.0001).
Conclusion
The angle of the left subclavian artery and the length of the ascending aorta are independent risk factors for the formation of aortic dissection. Aortic dissection patients receive the greatest shear pressure at the bifurcation of the left subclavian artery and aorta, which is the common location of dissection. The small angle of the left subclavian artery is an independent risk factor for dissection avulsion.
Validation of SPARCC MRI-RETIC E-Tools for Increasing Scoring Proficiency of MRI Sacroiliac Joint Lesions in Axial Spondyloarthritis
Authors: Maksymowych Walter P , Hadsbjerg Anna , Østergaard Mikkel , Micheroli Raphael , Pedersen Susanne Juhl , Ciurea Adrian , Vladimirova Nora , Nissen Michael J , Bubova Kristyna , Wichuk Stephanie , de Hooge Manouk , Mathew Ashish Jacob , Pintaric Karlo , Gregová Monika , Snoj Ziga , Wetterslev Marie , Gorican Karel , Möller Burkhard , Eshed Iris , Paschke Joel , Lambert Robert G 
Published: September 2023

Abstract
Background.
The Spondyloarthritis Research Consortium of Canada (SPARCC) developers have created novel web-based calibration modules for the SPARCC MRI Sacroiliac Joint (SIJ) inflammation and structural scoring methods (SPARCC-SIJRETIC−INF, SPARCC-SIJRETIC−STR) based on DICOM images and real-time iterative feedback (RETIC). We aimed to test the impact of applying these modules on feasibility and inter-observer reliability (status/change) of the SPARCC SIJ methods.
Methods
The SPARCC-SIJRETIC modules each contain 50 DICOM axial spondyloarthritis (axSpA) cases with baseline and follow-up scans and an online scoring interface. Continuous visual real-time feedback regarding concordance/discordance of scoring per SIJ quadrant (bone marrow edema (BME), erosion, fat lesion) or halves (backfill, ankylosis) with expert readers is provided by a color-coding scheme. Reliability is assessed in real-time by intra-class correlation coefficient (ICC), cases being scored until ICC targets are attained. Participating readers (n = 17) from the EuroSpA Imaging project were randomized, stratified by reader expertise with SPARCC-SIJ, to one of two reader calibration strategies that each comprised 3 stages. Baseline and follow-up scans from 25 cases were scored using SPARCC-SIJ after each stage was completed; none of these 75 cases were included in the SPARCC-SIJRETIC modules. Reliability was compared to an expert radiologist (SPARCC developer), and the Systems Usability Scale (SUS) assessed feasibility.
Results
The reliability of EuroSpA readers for scoring BME was high (ICC status/change ≥ 0.80) even after the first stage of calibration, and only minor improvement was noted following the use of the SPARCC-SIJRETIC−INF module. Greater enhancement of reader reliability from stages 1 to 3 was evident after the use of the SPARCC-SIJRETIC−STR module, especially for inexperienced readers, and was most consistently evident for the scoring of erosion (ICC status/change: stage 1 (0.42/0.20) to stage 3 (0.50/0.38)) and backfill (ICC status/change: stage 1 (0.51/0.19) to stage 3 (0.69/0.41)). The feasibility of both RETIC modules was evident by reading time per case of readers after calibration being comparable to SPARCC developers and by the high SUS scores reported by most readers.
Conclusion
The SPARCC-SIJRETIC modules are feasible, effective knowledge transfer tools for the SPARCC MRI SIJ scoring methods. They are recommended for routine calibration of readers before using these methods for clinical research and trials.
Stepping Up for All of Us: Data from the All of Us Research Program Reinforces Existence of Activity Inequality in the United States
Authors: Dunn Jessilyn , Jeong Hayoung , Roghanizad Ali , Master Hiral , Kim Juseong , Kouame Aymone , Harris Paul , Basford Melissa , Marginean Kayla 
Published: September 2023

Abstract
Data from digital health technologies can provide insights into a population’s daily activity levels and behaviors. Using Fitbit wearable data from 7,431 participants enrolled in the All of Us Research Program, we examined activity inequality across the US and its association with obesity. We found that there were 660 fewer daily steps on average in the southern states than in the northeastern states. In addition, with every 0.01 increase in activity inequality, a metric used to quantify activity disparity, the predicted obesity prevalence of a state increased by 5%. Surprisingly, no association was discovered between a city's walkability and activity inequality, suggesting that extrinsic factors such as the built environment may not necessarily address the gap in activity levels in the US. This study demonstrates the value of digital health technologies in exploring and understanding public health while highlighting the need to examine complex confounding factors such as socioeconomic status, eating habits, and lifestyle that may contribute to activity inequality in the US.
3D Integral Imaging of Acoustically Trapped Objects
Authors: Mohsenvand Kooshan , Carnicer Artur , Marmiroli Benedetta , Moradi Ali-Reza 
Published: September 2023

Abstract
3D imaging provides crucial details about the objects and scenes that may not be obtained via 2D imaging methods. However, there are several applications in which the object to be 3D-imaged requires to be immobilized. The integrated digital holographic microscopy (DHM) and optical trapping (OT) system is a useful solution for such a task, but both DHM and OT are mostly suitable for microscopic specimens. Here, for the first time to the best of our knowledge and as an analogy to the DHM- OT system, we introduce integral imaging (II) and acoustic trapping (AT) integrated system for 3D imaging of immobilized mesoscopic and macroscopic objects. Post-processing of II data enables reconstructing the scene at any arbitrary plane, therefore, it re-focuses any particular depth of the object, which is a curtail task, especially when the object is trapped by AT. We demonstrate the capability of our system by simultaneous trapping and 3D imaging of single and multiple irregularly shaped objects with mm sizes.
Increasing the uptake of Intermittent Preventive Treatment of malaria in pregnancy using Sulfadoxine-Pyrimethamine (IPTp-SP) through seasonal malaria chemoprevention channel delivery: protocol of a multicenter cluster randomized implementation trial in Mali and Burkina Faso
Authors: Koita Kadiatou , Bognini Joel D. , Agboraw Efundem , Dembele Mahamadou , Yabre Seydou , Bihoun Biebo , Coulibaly Oumou , Niangaly Hamidou , N’Takpe Jean-Batiste , Lesosky Maia , Scaramuzzi Dario , Worrall Eve , Hill Jenny , Briand Valérie , Tinto Halidou , Kayentao Kassoum 
Published: September 2023

Abstract
Background
The uptake of Intermittent Preventive Treatment of malaria in pregnancy using Sulfadoxine-Pyrimethamine (‎IPTp-SP)‎ remains unacceptably low, with more than two-thirds of pregnant women in sub-Saharan Africa still not accessing the three or more doses recommended by the World Health Organisation (WHO). In contrast, the coverage of Seasonal Malaria Chemoprevention (SMC), a more recent strategy recommended by the WHO for malaria prevention in children under five years living in Sahelian countries with seasonal transmission, including Mali and Burkina-Faso, is high (up to 90%). We hypothesized that IPTp-SP delivery to pregnant women through SMC alongside antenatal care (ANC) will increase IPTp-SP coverage, boost ANC attendance, and increase public health impact. This protocol describes the approach to assess acceptability, feasibility, effectiveness, and cost-effectiveness of the integrated strategy.
Methods and Analysis
: This is a multicentre, cluster-randomized, implementation trial of IPTp-SP delivery through ANC + SMC vs ANC alone in 40 health facilities and their catchment populations (20 clusters per arm). The intervention will consist of monthly administration of IPTp-SP through four monthly rounds of SMC during the malaria transmission season (July to October), for two consecutive years. Effectiveness of the strategy to increase coverage of three or more doses of IPTp-SP (IPTp3+) will be assessed using household surveys and ANC exit interviews. Statistical analysis of IPT3 + and four or more ANC uptake will use a generalized linear mixed model. Feasibility and acceptability will be assessed through in-depth interviews and focus group discussions with health workers, pregnant women, and women with a child < 12 months.
Discussion
This multicentre cluster randomized implementation trial powered to detect a 45% and 22% increase in IPTp-SP3 + uptake in Mali and Burkina-Faso, respectively, will generate evidence on the feasibility, acceptability, effectiveness, and cost-effectiveness of IPTp-SP delivered through the ANC + SMC channel. The intervention is designed to facilitate scalability and translation into policy by leveraging existing resources, while strengthening local capacities in research, health, and community institutions. Findings will inform the local national malaria control policies.
Trial registration
: Retrospectively registered on August 11th, 2022; registration # PACTR202208844472053
Regulatory Ecosystem Services of Forest Sacred Groves in comparison to Invasive vegetation in the urban and urban peripheries of a semi-arid region
Authors: Mohanraj Rangaswamy , Prasath Akil , K.R Balaramdas , Tagore Johny Kumar , P Raja , A Rajasekaran 
Published: September 2023

Abstract
Amidst anthropogenic pressures, certain forest relics in the urban and rural landscapes have been traditionally protected for centuries as sacred forest groves in the Asian regions, despite lying outside the protected area network. In the current context of climate change and ensuing disasters, these forest groves and similar kind of vegetative landscapes within urban and rural could potentially increase the resilience and buffering capacity of the surrounding environs, besides providing ecosystem services. This study attempted to evaluate 50 Sacred Groves Stands (SGS) and 50 Prosopis juliflora Stands (PJS) comprehensively for the floral diversity, carbon stock and dynamics, carbon-fixing traits, dendrochronology of trees, soil nutrient profiles, and soil erosion - deemed to be regulating ecosystem services. Structural Equation Model (SEM) was applied to derive the photosynthetic efficiency of eight dominant trees species using vital input parameters including eco-physiological, morphological, and biochemical characterization. Revised Universal Soil Loss Equation (RUSLE) model in conjunction with ArcGIS Pro and ArcGIS 10.3 was adopted to map soil loss. Among the 8 selected tree species, Wrightia tinctoria (SEM Estimated Coefficient: 1.28) > Prosopis juliflora (1.22) > Acacia nilotica (1.21) > Albizia lebbeck (0.97) > Azadirachta indica (0.74) showed comparatively high carbon sequestering efficacy. SEM revealed species specific carbon sequestering functional traits (stomatal density, nitrogen fixing ability, RuBisCO and chlorophyll content) are evidently attributed to high carbon sequestration potential. Carbon source/sink determinations inferred through Net Ecosystem Productivity (NEP) assessments showed that mature SGS (0.06 ± 0.01 g C/m2/day) potentially acted as carbon sink, while matured PJS (-0.34 ± 0.12 g C/m2/day) as source. Soil erosion rates were significantly greater (29.5 ± 13.4 ton/ha/year) in SGS compared to PJS (7.52 ± 2.55 ton/ha/year).
UV-Dark Polar Ovals on Jupiter Trace the Depth of Magnetosphere-Atmosphere Connection
Authors: Tsubota Troy , Wong Michael , Stallard Tom , Zhang Xi , Simon Amy 
Published: September 2023

Abstract

We observe twenty-six global maps of Jupiter between 1994 and 2022 taken with HST WFPC2/F255W and WFC3/F275W, detecting transient UV dark ovals in the southern polar hood haze layer with a 48–53% frequency of occurrence. We find that the dark oval is an anticyclonic vortex that remains within the main southern auroral oval during most of its lifetime; these behaviors match previous observations of a similar dark oval near the north pole. The southern dark oval appears 4–6 times more frequently than its northern counterpart. Using a radiative transfer model, we find that these auroral effects cause a 20–50 times increase in haze abundance in the dark oval region and/or an overall upward shift in the stratospheric haze distribution. We estimate that the anticyclonic vorticity of the dark oval is enhanced relative to the surroundings, representing a deep continuation of higher-altitude vortices previously observed in the thermosphere and upper stratosphere. The feature is likely driven by magnetospheric momentum exchange, with enhanced aerosols producing the localized heating detected in prior infrared retrievals.
Mechano-induced homotypic patterned domain formation by monocytes
Authors: Wirtz Denis , Du Wenxuan , Zhu Jingyi , Wu Yufei , Kiemen Ashley , Wan Zeqi , Hanna Eban , Sun Sean 
Published: September 2023

Abstract
Matrix stiffness and corresponding mechano-signaling play indispensable roles in cellular phenotypes and functions. How tissue stiffness influences the behavior of monocytes, a major circulating leukocyte of the innate system, and how it may promote the emergence of collective cell behavior is less understood. Here, using tunable collagen-coated hydrogels of physiological stiffness, we show that human primary monocytes undergo a dynamic local phase separation to form highly regular, reversible, multicellular, multi-layered domains on soft matrix. Local activation of the β2 integrin initiates inter-cellular adhesion, while global soluble inhibitory factors maintain the steady state domain pattern over days. Patterned domain formation generated by monocytes is unique among other key immune cells, including macrophages, B cells, T cells, and NK cells. While inhibiting their phagocytic capability, domain formation promotes monocytes’ survival. We develop a computational model based on the Cahn-Hilliard equation of phase separation, combined with a Turing mechanism of local activation and global inhibition suggested by our experiments, and provides experimentally validated predictions of the role of seeding density and both chemotactic and random cell migration on domain pattern formation. This work reveals that, unlike active matters, cells can generate complex cell phases by exploiting their mechanosensing abilities and combined short-range interactions and long-range signals to enhance their survival.
A Global Database on Whole Life Carbon, Energy and Material Intensity of Buildings(CarbEnMats-Buildings)
Authors: Martin Röck , Sørensen	Andreas  , Balouktsi	Maria  , Saade	Marcella Ruschi Mendes , Nygaard Rasmussen	Freja , Birgisdottir	Harpa  , Frischknecht	Rolf  , Lützkendorf	Thomas  , Endrit	Hoxha  , Habert	Guillaume  , Satola	Daniel  , Truger	Barbara  , Tozan	Buket  , Kuittinen	Matti  , Nicolas Alaux , Allacker	Karen  , Passer	Alexander  
Published: September 2023

Abstract
Globally, interest in understanding the life cycle related greenhouse gas (GHG) emissions of buildings is increasing. Robust data is required for benchmarking and analysis of parameters driving resource use and whole life carbon (WLC) emissions. However, open datasets combining information on energy and material use as well as whole life carbon emissions remain largely unavailable – until now. We present a global database on whole life carbon, energy use, and material intensity of buildings. It contains data on more than 1,200 building case studies and includes over 300 attributes addressing context and site, building design, assessment methods, energy and material use, as well as WLC emissions across different life cycle stages. The data was collected through various meta-studies, using a dedicated data collection template (DCT) and processing scripts (Python Jupyter Notebooks), all of which are shared alongside this data descriptor. This dataset is valuable for industrial ecology and sustainable construction research and will help inform decision-making in the building industry as well as the climate policy context.
Mining inference on directed graphs phylogenetic tree of rice MYB transcription factors
Authors: Kumar Vineet , C Hemamalini H , Patil Ashok , MetiPatil Prabhuraj , Patil S S 
Published: September 2023

Abstract
Derive the information of evolutionary associations among diversified species of genomics compelling processes. Assembling and investigating phylogenetic trees by the information rescue method for MYB transcription factors of rice genome sequences to deduce a phylogenetic network in lieu of a vast fixed species synchronizes phylogenetic subtrees of identified minor corresponding species of diverging information that may be mislaid. Through our effort, we have inferred phylogenetic networks known phylogenetic set trees in convincing evolutionary associations within the species acknowledged to be vastly dubious. Compelling fabricating and scrutinizing a phylogenetic tree consistent all sub graphs in a usual T and not any of the rooted sub graphs (directed) in a new set F in imperative to deliver robust algorithms for formulating phylogenetic tree to rice genome MYB transcription factors. To adapt the tree into an explanatory graph established via the logic of undirected and directed subgraphs, which can be brought small into smaller quanta known as triplets to higher graphs by expanding the bottom-to-top traversing approach. Here, we introduced simple mixed triplets and a maximised mixed triplet constrained to a tree for traversing and forming a galled network.
Deep and machine learning for daily streamflow estimation: a focus on LSTM, RFR and XGBoost
Authors: Terzi Özlem , Küçüksille Ecir Uğur , Baykal Tahsin , Taylan Emine Dilek 
Published: September 2023

Abstract

Estimation accuracy of streamflow values is of great importance in terms of long-term planning of water resources and taking measures against disasters such as drought and flood. The flow formed in a river basin has a complex physical structure that changes depending on the characteristics of the basin (such as topography and vegetation), meteorological factors (such as precipitation, evaporation and infiltration) and human activities. In recent years, deep and machine learning techniques have attracted attention thanks to their powerful learning capabilities and accurate and reliable modeling of these complex and nonlinear processes. In this paper, long short-term memory (LSTM), random forest regression (RFR) and extreme gradient boosting (XGBoost) approaches were applied to estimate daily streamflow values of Göksu River, Turkey. Hyperparameter optimization was realized for deep and machine learning algorithms. The daily flow values between the years 1990–2010 were used and various input parameters were tried in the modeling. Examining the performance (R2, RMSE and MAE) of the models, the XGBoost model having five input parameters provided more appropriate results than other models. The R2 value of the XGBoost model was obtained as 0.871 for the testing set. Also, it is shown that deep and machine learning algorithms are used successfully for streamflow estimation.