bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Role for P-selectin and Complement in the Pathological Sequelae of Germinal Matrix Hemorrhage
Authors: Hatchell Devin , Alshareef Mohammed , Vasas Tyler , Guglietta Silvia , Borucki Davis , Guo Chunfang , Mallah Khalil , Eskandari Ramin , Tomlinson Stephen 
Published: February 2023

Abstract
Background
Germinal Matrix Hemorrhage is a devastating disease of pre-term infancy commonly resulting in post-hemorrhagic hydrocephalus, periventricular leukomalacia, and subsequent neurocognitive deficits. We demonstrate vascular expression of the adhesion molecule P-selectin after GMH and investigate a strategy to specifically target complement inhibition to sites of P-selectin expression to mitigate the pathological sequelae of GMH.
Methods
We prepared two fusion proteins consisting of different anti-P-selectin single chain antibodies (scFv’s) linked to the complement inhibitor Crry. One scFv targeting vehicle (2.12scFv) blocked the binding of P-selectin to its PSGL-1 ligand expressed on leukocytes, whereas the other targeting vehicle (2.3scFv) bound P-selectin without blocking ligand binding. Post-natal mice on day 4 (P4) were subjected to collagenase induced-intraventricular hemorrhage and treated with 2.3Psel-Crry, 2.12Psel-Crry, or vehicle.
Results
Compared to vehicle treatment, 2.3Psel-Crry treatment after induction of GMH resulted in reduced lesion size and mortality, reduced hydrocephalus development, and improved neurological deficit measurements in adolescence. In contrast, 2.12Psel-Crry treatment resulted in worse outcomes compared to vehicle. Improved outcomes with 2.3Psel-Crry were accompanied by decreased P-selectin expression, and decreased complement activation and microgliosis. Microglia from 2.3Psel-Crry treated mice displayed a ramified morphology, similar to naïve mice, whereas microglia in vehicle treated animals displayed a more ameboid morphology that is associated with a more activated status. Consistent with these morphological characteristics, there was increased microglial internalization of complement deposits in vehicle compared to 2.3Psel-Crry treated animals, reminiscent of aberrant C3-dependent microglial phagocytosis that occurs in other (adult) types of brain injury. Also, following systemic injection, 2.3Psel-Crry specifically targeted to the post-GMH brain. Likely accounting for the unexpected finding that 2.12Psel-Crry worsens outcome following GMH was the finding that this construct interfered with coagulation in this hemorrhagic condition, and specifically with heterotypic platelet-leukocyte aggregation, which express P-selectin and PSGL-1, respectively.
Conclusion
GMH induces expression of P-selectin, the targeting of which with a complement inhibitor protects against pathogenic sequelae of GMH. A dual functioning construct with both P-selectin and complement blocking activity interferes with coagulation and worsens outcomes following GMH, but has potential for treatment of conditions that incorporate pathological thrombotic events, such as ischemic stroke.
A Holistic Study of the Beta Lyrae Systems V0487 Lac, V0566 Hya and V0666 Lac
Authors: Alenazi Moqbil S. , Elkhateeb Magdy. M. 
Published: February 2023

Abstract
A comprehensive photometric study and evolutionary state for the newly discovered Beta Lyr systems V0487 Lac, V0566 Hya and V0666 Lac were carried out by means of their first photometric observations. New times of minima were estimated from the observed light curves, and first (O-C) curves were established for all systems. The radiative treatment was carried out using a Windows interface version of the Wilson and Devinney programme (W-D), which was based on Kurucz's (1993) model atmospheres and a pass band prescription. The adopted models provide some absolute characteristics for the systems under study, which are used to determine the spectral type of the system's constituents and their evolutionary stage. Distances to each system were calculated, and physical properties were estimated. All system components, with the exception of the secondary component of the system V0487 Lac, showed good fit when the systems were positioned on the theoretical mass-luminosity and mass-radius relations.
Quantifying the spatial spillover effects of non-pharmaceutical interventions on pandemic risk
Authors: Wang Keli , Han Xiaoyi , Dong Lei , Chen Xiao-Jian , Xiu Gezhi , Kwan Mei-po , Liu Yu 
Published: February 2023

Abstract
Background: Non-pharmaceutical interventions (NPIs) implemented in one place can affect neighboring regions by influencing people’s behavior. However, existing epidemic models for NPIs evaluation rarely consider such spatial spillover effects, which may lead to a biased assessment of policy effects.
Methods: Using the US state-level mobility and policy data from January 6 to August 2, 2020, we develop a quantitative framework that includes both a panel spatial econometric model and an S-SEIR (Spillover-Susceptible-Exposed-Infected-Recovered) model to quantify the spatial spillover effects of NPIs on human mobility and COVID-19 transmission.
Results: We find that the spatial spillover effects of NPIs explain 61.2% [95% confidence interval: 52.8-84.4%] of national cumulative confirmed cases, suggesting that the presence of the spillover effect significantly enhances the NPI influence. Simulations based on our model further show that increasing interventions in only a few states with larger intrastate human mobility intensity significantly reduce the cases nationwide. These region-based interventions also can carry over to interstate lockdowns.
Conclusions: Our study provides a framework for evaluating and comparing the effectiveness of different intervention strategies conditional on NPI spillovers, and calls for collaboration from different regions.
Anomalous polarization enhancement in a vdW ferroelectric material under pressure
Authors: Zhu Jinlong , Yao Xiaodong , Bai Yinxin , Jin Cheng , Zhang Xinyu , Zheng QunFei , Xu Zedong , Chen Lang , Wang Shanmin , Liu Ying , Wang Junling 
Published: February 2023

Abstract
CuInP2S6 with robust room-temperature ferroelectricity has recently attracted much attention due to the spatial instability of its Cu cations and the van der Waals (vdW) layered structure. Herein, we report a significant enhancement of its remanent polarization by more than 50% from 4.06 to 6.36 µC cm− 2 under a small pressure between 0.26 to 1.40 GPa. Comprehensive analysis suggests that even though the hydrostatic pressure suppresses the crystal distortion, it initially forces Cu cations to largely occupy the interlayer site, causing the spontaneous polarization to increase. Under intermediate pressure, the condensation of Cu cations to the ground state and the polarization increase due cell volume reduction compensate each other, resulting in a constant polarization. Under high pressure, the migration of Cu cations to the center of the S octahedron dominates. These findings improve our understanding of this fascinating vdW ferroelectric material, and suggest new ways to improve its properties.
Biodegradable FePS 3 nanoplatform for efficient treatment of osteosarcoma by combination of gene and NIR-II photothermal therapy
Authors: Luo Tingting , Jiang Mingyang , Cheng Ziqiang , Lin Yuntao , Chen Yuling , Zhou Jian , Zhou Wenhua , Yu Xue-Feng , Li Shuchun , Geng Shengyong , Yang Hongyu 
Published: February 2023

Abstract
Background
As a common tumor with high incidence, osteosarcoma possesses extremely poor prognosis and high mortality. Improving the survival of osteosarcoma patients is still a great challenge due to the precipice of advancement in treatment. This study aims to develop a multifunctional nanoplatform based on the synergistic effect of NIR-II photothermal therapy (PTT) and gene therapy for efficient treatment of osteosarcoma.
Methods
In this study, a combination strategy of gene therapy and photothermal therapy (PTT) is developed for efficient treatment of osteosarcoma. Two-dimensional (2D) FePS3 nanosheets are synthesized and functionalized by poly-L-lysine-PEG-folic acid (PPF) to fabricate a multifunctional nanoplatform (FePS@PPF) for further loading microRNAs inhibitor, miR-19a inhibitor (anti-miR-19a).
Results
The photothermal conversion efficiency of FePS@PPF is up to 47.1% under irradiation by 1064 nm laser. In vitro study shows that anti-miR-19a can be efficiently internalized into osteosarcoma cells through the protection and delivery of FePS@PPF nanao carrier, which induces up-regulation of PTEN gene and down-regulation p-AKT gene. After intravenous injection, the FePS@PPF nanoplatform specifically accumulates to tumor site of osteosarcoma-bearing mice. The in vitro and in vivo investigations reveal that the combined PTT-gene therapy displays most significant tumor ablation compared with monotherapy. More importantly, the good biodegradability promotes FePS@PPF to be cleared from body avoiding potential toxicity of long-term retention.
Conclusion
Our work not only develops a combined strategy of NIR-II PTT and gene therapy mediated by anti-miR-19a/FePS@PPF but also provides insights into the design and applications of other nanotherapeutic platforms.
Comparison of Thin Film Sb 2 Se 3 Solar Cell Device Parameters: with Different Electron Transport Layer
Authors: Agrawal Reeya , Singh Sangeetha 
Published: February 2023

Abstract
The paper describes the solar cell's design, ITO/CdS/Sb2Se3/CZTSe/Au. Experimental evidence that supports the model's predictions regarding output performance and current-voltage characteristics comes from CdS/Sb2Se3 solar cells with a hole transport layer (HTL). Sb2Se3 could be used in solar cells because it is non-toxic, affordable, and performs well. Because Sb2Se3 has a high-power conversion efficiency (6.5%), it is utilized as the absorber in thin-film solar cells. By simulating a best-practice solar cell configuration, including device optimization and band offset engineering, the SCAPS-1D simulator increased solar cell efficiency. The J-V characteristics of the simulated systems were simulated using SCAPS-1D to confirm the accuracy of the results. Current research focuses on the absorber for antimony selenide photovoltaic solar cells. The solar capacitance simulator was used to evaluate thin Sb2Se3 solar cells using SCAPS-1D software. From all the simulations, the conclusion arises that CZTSe as HTL gave the highest values of open-circuit voltage (VOC), i.e., 311mV, short circuit current (JSC), i.e., 28.246%, Fill Factor (FF), i.e., 45.48%, and Power Conversion Efficiency (PCE), i.e., 4%, was obtained through proposed solar cell architecture ITO/CdS/Sb2Se3/CZTSe/Au.
Efficient Integer Retrieving from Unordered Compressed Sequences
Authors: Zavadskyi Igor 
Published: February 2023

Abstract
We investigate the problem of fast direct access to elements of an integer sequence given in a compressed form. If integers are sorted in ascending order, it can be reduced to performing the 'select' operation on a bitmap, which is very well investigated. We focus on more general and more complicated case of unordered integer sequence and propose to represent it with the help of variable-length Reverse Multi-Delimiter (RMD) codes. When applied to data compression, these codes combine a good compression ratio with fast decoding. In this paper, another property of RMD-codes is researched - the ability of direct access to codewords in the encoded bitstream. We present the method allowing us to extract and decode a codeword from an RMD-bitstream in almost constant time and make experiments on its application to natural language text compression. Due to properties of RMD-codes and compactness of auxiliary direct access structures our method appears to be very space efficient requiring only a few percent excess over the entropy.
Instantaneous Fundamental Frequency and Model Order Estimation of Non-Stationary Harmonic Signals
Authors: Rehman Ansar , Khan Nabeel Ali , Butt Naveed R. 
Published: February 2023

Abstract
Estimation of the time-varying fundamental frequency is an important problem in many real-life applications, e.g. analysis of electroencephalogram (EEG) seizure signals. The instantaneous fundamental frequency (IF) of such signals is usually estimated by first windowing a signal and then applying methods such as non-linear least squares. However, this approach is based on an assumption that a given signal is stationary within an observation time and that the model order (number of harmonics) is known. We propose a novel instantaneous fundamental frequency estimator that uses fractional Fourier windows to stationarize a signal within an observation window followed by MAP criteria for estimating model order and the nonlinear least squares method for fundamental frequency estimation. Application to simulated and real data indicates that the use of fractional Fourier windows improves the estimation accuracy as compared to both commonly used fundamental frequency estimators and state of art instantaneous frequency estimators. The proposed method provides good IF estimates without requiring any prior knowledge of the model order and is more computationally efficient compared to recent semi-parametric methods. For the case of quadratic chirp, we also derive a parametric CRLB to show that the proposed approach, while being biased, achieves better mean-square error (MSE) than any unbiased parametric estimator.
A fractal LTB model cannot explain Dark Energy
Authors: Pastén Erick , Cardenas Victor 
Published: February 2023

Abstract
We revisited the problem of describing, on average, a fractal distribution of matter using a Lemaitre-Tolman-Bondi (LTB) solution. Here we study the fractal structure of our local universe having a fractal dimension and a scale transition, ensuring an homogeneous bang-time function. We test our model with the latest type Ia supernova data, the Pantheon compilation, and discuss problems and possible improvements for it, concluding that a fractal transition in LTB cosmology cannot be used to explain the effects of dark energy without requiring an inhomogeneous big-bang, but it can be useful to study structures at low scales.
A method for distinguishing tetracycline and its isomer doxycycline using a Briggs-Rauscher chemical oscillation system
Authors: Ziping Liu , Zhang Lanlan 
Published: February 2023

AbstractIn this paper, a novel chemical oscillation system was designed to distinguish two different classes of antibiotics, tetracycline and its isomer doxycycline. The oscillating system is a chemical oscillating system composed of five components (H2SO4-KIO3-MA-[NiL](ClO4)2-H2O2)under the action of macroring nickel [NiL](ClO4)2(where L is 5, 7, 7, 12, 14, 14-hexamethyl-1, 4, 8, 11-teazazote14-4, 11-diene) to distinguish tetracycline and its isomer doxycycline. In the concentration range of 6.1875×10-5-2.0813×10-4mol/L, both of them can be distinguished by their different disturbance phenomenaon the chemical oscillation system of B-R. Finally, the disturbance and the mechanism of system inhibition are explained by FCA model.
Long-term exposure to particulate matter and risk of dementia in Korea: A national population-based cohort study
Authors: Shim Jung-Im I. , Byun Garam , Lee Jong-Tae T. 
Published: February 2023

Abstract
Background
The prevalence of age-related neurodegenerative diseases has risen in conjunction with an increase in life expectancy. Although there is emerging evidence that air pollution might accelerate or worsen dementia progression, studies on Asian regions remains limited. This study aimed to investigate the relationship between long-term exposure to PM10 and the risk of developing Alzheimer's disease and vascular dementia in the elderly population in South Korea.
Methods
Insurance claims data from 2.4 million people aged 65 years and above who participated in at least one national health checkup program from 2008 to 2009 were obtained from the National Health Insurance Service. A nationwide retrospective cohort study was designed, and patients were followed from the date of cohort entry to the date of dementia occurrence, death, moving residence, or the end of the study period (December 31, 2019), whichever came first. Long-term average PM10 exposure variable was constructed from national monitoring data considering time-dependent exposure. Extended Cox proportional hazard models with time-varying exposure were used to estimate hazard ratios (HR) for Alzheimer’s disease and vascular dementia.
Results
A total of 1,436,361 participants were selected, of whom 167,988 were newly diagnosed with dementia (134,811 with Alzheimer’s disease and 12,215 with vascular dementia). The results show that for every 10 µg/m3 increase in PM10, the HR was 0.99 (95% CI 0.98-1.00) for Alzheimer’s disease and 1.05 (95% CI 1.02–1.08) for vascular dementia. Stratified analysis according to sex and age group showed that the risk of vascular dementia was higher in men and in those under 75 years of age.
Conclusion
The results found that long-term PM10 exposure was significantly associated with the risk of developing vascular dementia but not with Alzheimer’s disease. These findings suggest that the mechanism behind the PM10-dementia relationship could be linked to vascular damage.
BicA and related proteins of the SulP family diverged from a common ancestor with archaeal NCS-2 proteins
Authors: Nayak Namitha , Mehrotra Rajesh , Mehrotra Sandhya 
Published: February 2023

Abstract

BicA is a cyanobacterial bicarbonate transporter that belongs to the widespread Sulfate Permease (SulP) family of proteins. To understand the evolutionary trajectory of BicA, its distant homologs were identified by using the Position-Specific Iterative Basic Local Alignment Search Tool (PSI BLAST) against all organisms excluding cyanobacteria and manually screened to include homologs performing different functions. A total of 43 proteins were short-listed for the phylogenetic tree construction and conserved domain analysis. The results show a distant homology between BicA and archaeal proteins of the Nucleobase Cation Symporter (NCS-2) family. The archaeal NCS-2 family members dominate in the lower clades of the phylogenetic tree, while the upper clades consist mostly of bacterial sulphate and anion transporters of the SulP family. Analysis of BicA for conserved domains shows pbuX, UraA and AzgA domains in common with NCS-2 family proteins, which supports their homologous relationship. We propose that cyanobacterial BicA and related proteins of the SulP family potentially diverged from or shared a common ancestor with archaeal NCS-2 proteins.
Detection of infection degree of Botrytis disease in apple by fusing spectra and image features from hyperspectral imaging
Authors: Xin Zhenghua , Wang Liusong , Liu Cunchuan , Xu Haifeng , Pan Zhenggao , Cui Lin , Li Mingdong , Wang Chao , Hu Liangyi 
Published: February 2023

Abstract
Apples are vulnerable to fungal infection for the duration of storage, transportation and processing. In this study, we explore hyperspectral imaging and deep learning networks to detect the degree of apple infection caused by Botrytis disease. Savitzky-Golay smoothing and multiplicative scatter correction are used to preprocess the raw spectra from HSI images, and principal component analysis is used to screen effective variables through correlation analysis. Then, the textural features are extracted from images of important wavelengths selected by competitive adaptive reweighted sampling using a gray-level gradient co-occurrence matrix. With the above features, a random forest, K-nearest neighbor, support vector machines, convolutional neural network (CNN) and input-preprocessed CNN (IPCNN) are used to develop identification models of the apple fungal infection degree. Classification results of the fusion of efficient spectra and textural features are much better than those using a single feature, and IPCNN has the best accuracy of the training and prediction sets, at 100% and 92.8%, respectively. Hence, the proposed method provides a technical basis for the investigation of fruit qualities.
The Effects of Video Display Terminals on Eye Surfaces
Authors: Zeng Lingdi , Sun Xufang , Sun Lixin , Sun Jinfu 
Published: February 2023

Abstract
Objective: To investigate the effects of computer use on the ocular surface of healthy people using Keratograph D.
Design: Use a prospective cohort study method, select subjects that meet the standards, use experimental group and control group based on whether or not used video display terminals (computers), and set the time point of observation at 60 min and 120 min use of computers.
Subjects: In total 80 eyes from 40 nurses have been selected for this study. The experimental group includes 46 eyes from 23 nurses who used computer at work and the control group includes 34 eyes from 17 nurses who did not use computer or other video terminals at work. All nurses were working at the First People’s Hospital of Changde City at Hunan Province in China.
Methods: Let subjects using computer for 60 min and 120 min. Record data for every subject (both eyes) before and after computer uses. The data was recorded by experienced ophthalmologists using Keratograph D.
Main Outcome Measures: This study investigated the tear film breakup time (BUT) and tear meniscus height (TMH) using Keratograph D for both groups before work, at 60 min and 120 min of work.
Results: We found the tear meniscus height of the experimental group at 60 min and 120 min were both significantly lower than the control group. The average tear film breakup time of the experimental group at 120min was significantly lower than the control group.
Conclusions: This study found that the use of computer over 60 min has adverse effects on ocular surface of healthy people.
The Way to picture Reality: A Review, Evaluation and Recipe of Image Harmonization
Authors: Tian Yingjie , Hou Junjie , Zhang Yuqi 
Published: February 2023

Abstract

Image harmonization is an interesting but challenging task in image processing. The task is to adjust the visual information between the foreground and background in the picture, so that the overall picture becomes a harmonious and unified process. Compared to traditional unsupervised methods for image processing, recent developments in deep learning have brought new opportunities to the field. Since 2019, related image harmonization papers have begun to appear on a large scale. In order to better sort out the development of this field, we summarize the field from two aspects of supervised learning and unsupervised learning, and also deeply integrate the existing image harmonization dataset and related index evaluation. We then conduct a detailed comparison and analysis of the existing models. Finally, the current challenges and future research directions of deep learning in image harmonization are discussed.