bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetically-dressed CrSBr exciton-polaritons in ultrastrong coupling regime
Authors: Ye Yu , Wang Tingting , Zhang Dingyang , Yang Shiqi , Lin Zhongchong , Chen Quan , Yang Jinbo , Gong Qihuang , Chen Zuxin , Liu Wenjing 
Published: July 2023

Abstract
Over the past few decades, exciton-polaritons have attracted substantial research interest due to their half-light-half-matter bosonic nature. Coupling exciton-polaritons with magnetic orders grants access to rich many-body phenomena, but has been limited by the availability of material systems that exhibit simultaneous exciton resonances and magnetic ordering. Here we report magnetically-dressed microcavity exciton-polaritons in the van der Waals antiferromagnetic (AFM) semiconductor CrSBr coupled to a Tamm plasmon microcavity. Angle-resolved spectroscopy reveals an exceptionally high exciton-photon coupling strength attaining 169 meV, demonstrating ultrastrong coupling that persists up to room temperature. Temperature-dependent exciton-polariton spectroscopy senses the magnetic order change from AFM to paramagnetic in CrSBr, confirming its magnetic nature. By applying an out-of-plane magnetic field, an effective tuning of the polariton energy is further achieved while maintaining the ultrastrong exciton-photon coupling strength, which is attributed to the spin canting process that modulates the interlayer exciton interaction. Our work proposes a hybrid quantum platform enabled by robust opto-electronic-magnetic coupling, promising for quantum interconnects and transducers.
Towards identifying key features in the classification of knee osteoarthritis – An enhanced feature fusion based deep network model
Authors: Chaugule Sushma V. , Malemath V. S. 
Published: July 2023

Abstract
Osteoarthritis is a gradual loss and destruction of articular cartilage, whose symptoms can be managed but not reversed. Early and accurate severity detection of Knee Osteoarthritis (KOA), from digital X-ray images is an essential need. A Deep Convolutional Neural Network (DCNN) hinged on feature extraction and fusion, to classify is presented to grade the severity according to Kellgren-Lawrence (KL) grading system. This work is taken through 4 stages; i) Autoencoder based de-noising of the X-ray images. ii) Segmentation to split the image into exhausted regions. iii) Feature extraction processes are employed to extract four types of features: region, Zernike, wavelet, and Haralick, which are further fused to enhance feature representation. iv) The outcome of the feature fusion is passed to a DCNN model that is used to cognize the knee area and classify it into appropriate severity grades. This model is trained using an Adam optimization algorithm, tested, validated experimentally concerning different evaluation metrics, and achieved testing and validation accuracies of 96.31% and 95.70% respectively. This model is based on feature extraction, enhancing feature representation, and identifying key features in the classification of KOA that outperforms all other models in detecting the severity of KOA.
Broadband polarization-sensitive metamaterial absorber based on ladder network construction in the infrared region
Authors: Liang Zhongzhu , Yu Haihong , Shi Xiaoyan , Yang Fuming , Xu Haiyang , Wu Zhe , Dai Rui , Smith David R , Liu Yichun 
Published: July 2023

Abstract
Plasmonic resonant and metamaterial structures allow for manipulating the polarization properties of electromagnetic waves to achieve polarization beamsplitting. Broadband polarization-sensitive metamaterial absorber based on surface plasmon polaritons has the advantages of high-energy utilization and excellent stability, which may replace traditional polarizing devices. Here, an absorber based on a ladder network construction is designed theoretically and investigated experimentally. The absorber can possess almost 92% average absorptivity for TM polarization light in 8 µm-12 µm range (experiment result: 83% from 7 µm-11 µm). It is especially sensitive to the polarization angle of incident light, and with the increase of polarization angle, the broadband absorption response can present analogously monotonous reduction. The theoretical and experiment results for TE polarization light are 12% and 25%, respectively. The broadband absorption response performs angle insensitive property under oblique incidence. The proposed metamaterial absorber open a path to realize broadband polarization-sensitive absorption based on simple nanostructure. It will possess great potential applications in high performance thermal detection and imaging fields.
Utility of a Statistical Information Separation Technique from Real World Images
Authors: Banerjee Shataneek , Ghosh Amardip , Pal Prasanta 
Published: July 2023

Abstract
Use cases and nuances of a recently developed information preserving, feature revealing image curation algorithm called SOCKS (Statistical Outlier Curation Kernel Software) is presented in this paper. The algorithm makes use of two robust statistical parameters: Median and Median Absolute Deviation (MAD) which are relatively insensitive to extreme fluctuations. Till date the algorithms which are used to remove unwanted information (noise) from images cause irreversible information loss. This algorithm produces two different images upon its application to any input image: the filtered (inlier) image and the outlier image which prevents irreversible loss of information on filtering an image. The algorithm demonstrated in this paper is customizable to remove outlier values up to a user defined limit from either end of the spectrum, a feature that is missing in other image filtering algorithms. The algorithm replaces only the problematic data points in the matrix which is decided based on some user defined threshold. This is contrary to traditional algorithms which replaces all data points. The algorithm causes an iterative revelation of otherwise hidden information in an image, a feature which is very unique to all image filtering techniques. It is shown that the algorithm is capable of separation of information in a given image based on scale. It is demonstrated that the algorithm aids AI algorithms like k-means clustering by making feature extraction more convenient for the algorithm. It is demonstrated that the algorithm does a good job of noise removal in an image by improving its SNR and CNR. It is clearly shown that the algorithm causes revelation of otherwise obscured features by running it on the James Webb Telescope selfie image of NASA.
Evolution of Mg transporters may explain biological effects on coral skeletal proxies in geochemistry
Authors: Bell Tomoko , Iguchi Akira , Ohno Yoshikazu , Sakai Kazuhiko , Yokoyama Yusuke 
Published: July 2023

Abstract
Corals have been used as geochemical proxies since the 1970's and they play prominent roles in paleoclimatology. However, it has not been well elucidated how minerals in seawater are transported and precipitated in aragonite coral skeleton. There are no foundational methods to differentiate and quantify biogenic and abiogenic effects during skeletal formation, thus it hampers corals from being fully reliable environmental proxies. In this study, we evaluated biological complexity by investigating how genes evolved over geologic time scales. Mg transporter of Acropora digitifera, Acropora hyacinthus and Acropora millepora showed high similarity to Mg transporter of vertebrates. On the other hand, Acropora palmata and Acropora tenuis did not show such a trend. The three types of corals that showed high similarity to vertebrates appeared on the earth less than one million years ago while the other two species showed ages older than three million years ago. This difference could be possibly triggered by an environmental change such as the availability of Mg ion in seawater (seawater [Mg]). Our result indicated a strong biogenic response (Mg transporter) to abiotic factors (seawater [Mg]). We suggest our approach to investigate gene evolution may guide us to identify the geochemical proxies with strong biological effects.
From Variant of Uncertain Significance to Likely Pathogenic: Report of Two Siblings with Atypical RAG2 Deficiency
Authors: Taghizadeh Nima , Mohammadi Soha , Abolhassani Hassan , Shokri Sima , Nabavi Mohammad , Fallahpour Morteza , Bemanian Mohammad Hassan 
Published: July 2023

Abstract
Background: Severe combined immunodeficiencies (SCIDs) are hereditary disorders characterized by impaired T and B cell function, resulting in significant immune system dysfunction. Recombination-activating gene (RAG) mutations account for a substantial proportion of SCID cases. Here, we present two sibling cases of SCID caused by a novel RAG2 gene mutation.
Case Presentation: The first case engaged a 1-year-old boy who had a history of recurring infections. Initial diagnosis of Bruton's agammaglobulinemia was revised to combined immunodeficiency (CID) after a comprehensive immunological workup. The patient underwent hematopoietic stem cell transplantation (HSCT) but succumbed to cytomegalovirus (CMV) infection. Case 2, a four-month-old boy, presented with CMV chorioretinitis and a family history of primary immunodeficiency. Leaky SCID was diagnosed based on genetic tests and immunological findings. The patient received appropriate treatment and was considered for HSCT. Both siblings had a homozygous RAG2 gene variant, with the first case classified as a variant of uncertain significance (VUS). The presence of the same mutation in the second brother, along with the clinical phenotype, supports considering the mutation as likely pathogenic.
Conclusions: This case report highlights a novel RAG2 gene mutation associated with SCID in siblings. The classification of a VUS may evolve with accumulating evidence, and additional studies are warranted to establish its pathogenicity. Proper communication between genetic counselors and immunologists, accurate documentation of patient information, increased public awareness, and precise utilization of genetic techniques are essential for optimal patient management.
The effect of Logarithmic and power law of wind speed on ground level concentration in area sources
Authors: Essa Khaled S. M. , Mosallem Ahmed M. 
Published: July 2023

Abstract
Two-dimensional diffusion equation is solved analytically and numerical solutions by separation and finite difference methods respectively. Using the logarithmic and power law of wind speed to get the analytical and numerical concentrations. The results of this concentration are compared with observed concentrations of Sulphur dioxide concentration distribution over two hours period in Nashville, Tennessee USA and also, the previous work which was made before. Our predicted concentrations are found to over well agree with the observations than previous methods of integral and numerical methods using statistical method.
Sonar image segmentation framework based on semi-supervised learning
Authors: Yang Chao , Xi Wang , Jiang Longyu , Huang Jianxing 
Published: July 2023

Abstract
Sonar image object detection, as a special image processing task, has been facing the two problems of severe noise impact and scarce data resources. In this paper, we propose a semi-supervised learning based sonar image object segmentation network (SISN). We use Mask RCNN as the base network and design a side flap noise generation module to make the model more robust to noise. In order to reduce the labeling of training samples, we introduce the concept of semi-supervised learning during the training process. We train the teacher model using a small amount of labeled data, thus generating pseudo-labels for the unlabeled samples. This is then supplemented with new data augmentation to improve the model’s resistance to sample perturbation and the prediction confidence of the pseudo-labeled data, thus optimizing the entire SISN training process. We conducted exhaustive experiments on the collected dataset, and the experimental results show that we can achieve high localization accuracy using less data for training, and show strong noise robustness on noisy samples.
The Correlation of Obesity Status with Serum 25-Hydroxyvitamin D in US Asian Adults：NHANES 2011-2018
Authors: Qiu Linjie , Ren Yan , Ning Chunhui , Qin Lingli , Li Jixin , Li Meijie , Li Wenjie , Zhang Jin 
Published: July 2023

Abstract
Background: There is a correlation between obesity and 25-hydroxyvitamin D (25OHD) that tends to be negative. However, this relationship varies among different races. In this study, Asian adults with and without obesity were compared in terms of their levels of 25OHD.
Methods: We carried out a cross-sectional analysis on 2664 non-Hispanic Asian adults who participated in the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. To examine the connection between obese status, body mass index (BMI), waist circumference (WC) and weight, and 25OHD, we ran multivariate linear regression models.
Results: In all three models, a negative association was observed between obesity status and 25OHD (model 1: β=-4.535, 95% CI: -6.987, -2.083; model 2 β=-4.249, 95% CI: -6.549, -2.039; model 3 β=-1.734, 95% CI: -7.285, 3.816). After controlling for covariates, there was a significant negative correlation between WC and 25OHD when stratified by gender and obesity status in both males with and without obesity (males with obesity: β=-1.461, 95% CI: -2.485, -0.436; males without obesity: β=-0.855. 95% CI: -1.499, -0.210). In males with obesity, there was a very strong positive connection between body weight and 25OHD (β=0.912, 95% CI: 0.227, 1.597). In addition, neither gender's obese individuals showed a significant link between BMI and 25OHD.
Conclusion:This study found a weak correlation between obesity and 25OHD in non-Hispanic Asian individuals. Additionally, among male obese individuals, there was a significant negative correlation between WC and 25OHD, an observation that needs to be validated in further prospective studies.
BRF1 triggers autophagy in pulp stem cells and inflamed pulp tissues
Authors: Zhou Caixia , Wu Yan , Teng Yizhen , Zhang Jian , Liu Jiarong 
Published: July 2023

Abstract
Objective
Nowadays post-transcriptional modifications play a key role in autophagy regulation. There is a lack of studies on dental pulp disease however. In this study we explored the effect of BRF1 on autophagy in inflamed pulp tissue and human dental pulp stem cells (hDPSCs).
Methods
The expressions of BRF1, autophagy and dentinogenic markers in normal and inflamed pulp were examined by immunohistochemical analysis. The presence of autophagosomes was confirmed by transmission electron microscopy. Then primary hDPSCs were incubated with 1 µg/mL lipopolysaccharide (LPS) for different time periods. The expression of BRF1 and autophagy makers were evaluated by western blotting. BRF1 knockdown and 3MA treatment was applied to detect the level changes of autophagy and dentinogenic differentiation. Double immunofluorescence assessment was performed to co-localize BRF1 with LC3B in pulp tissue.
Results
The expressions of BRF1, LC3, DMP1 and DSP were remarkably increased in inflamed pulp. LPS enhanced the protein productions of IL-6, BRF1, LC3 and Beclin-1 from 6h to 24h. BRF1 knockdown reduced the ratio of LC3-II/LC3-I and differentiation ability of hDPSCs, while 3MA attenuated LPS-mediated dentinogenic differentiation. Double-labeling analysis revealed co-localization of BRF1 with LC3B in inflamed pulp.
Conclusion
Our data indicated that BRF1 played a positive role in autophagy activation and might facilitate repair function during pulpitis.
Research on Revenue Forecasting Model of Automobile Manufacturing Enterprises Combining Public Opinion Data and Financial Data: A Case Study of Chinese Automobile Manufacturing Enterprises
Authors: Du Yu , Wei Kaiyue , Li Xinyue , Liu Huilu 
Published: July 2023

Abstract
The automobile manufacturing industry is currently in an important period of transformation and upgrading. Scientific and accurate revenue forecasting model can help automobile manufacturing companies to carry out reasonable business planning, but also can help industry investors and other automobile market participants to understand the business situation. However, revenues of automobile manufacturing companies often show a non-linear dynamic fluctuation trend. To address the aforementioned issues, this research proposes a quarterly revenue prediction model for automobile manufacturing companies based on the machine learning and deep learning algorithm. The overall model is divided into two parts. The first part is based on the random forest and SARIMA algorithm to establish the quarterly sales forecasting model for the automotive industry. The forecasting performance of the model is significantly better than that of the SARIMA model alone. And the performance is better when SARIMA uses dynamic forecasting than when SARIMA uses static forecasting. In the second part, this paper transforms the collected opinion text into data representing the positive degree of opinion sentiment, and builds a model based on the CNN algorithm using the predicted value of automobile industry sales obtained in the first part along with other feature variables. The RMSE and MAE of this prediction model are significantly lower than those of the two benchmark models, so the model proposed in this paper has a better performance on the task of predicting the revenue of automobile manufacturing companies, and the prediction performance of the model is better than that of the model without the introduction of public opinion data.
Transcription directionality is licensed by Integrator at active human promoters
Authors: Lai Fan , Dang Yunkun , Yang Jiao , Li Jiangyang , Miao Langxi , Gao Xu , Sun Wenhao , Shuo Linghu , Ren Guiping , Peng Bangya , Chen Shunkai , Liu Zhongqi , Wang Bo , Dong Ao , Huang Duo , Yuan Jinrong 
Published: July 2023

Abstract
A universal characteristic of eukaryotic transcription is that the promoter recruits RNAPII to produce both precursor mRNAs (pre-mRNAs) and short unstable promoter upstream transcripts (PROMPTs) toward the opposite direction. However, how the transcription machinery senses the correct direction to produce pre-mRNAs is largely unknown. Here, through multiple acute auxin-inducible degradation (AID) systems, we show that rapid depletion of a RNAPII-binding protein complex, Integrator, results in robust PROMPTsaccumulation throughout the genome. Interestingly, the accumulation of PROMPTs is compensated by the reduction of pre-mRNA transcripts in actively transcribed genes. Consistently, Integrator depletion alters the distribution of polymerase between the sense and antisense direction, which is marked by an increased RNAPII-CTD Tyr1 phosphorylation (Tyr1P) level at PROMPT regions and a refrained Ser2 phosphorylation (Ser2P) level at transcription start sites (TSSs). Mechanistically, the endonuclease activity of Integrator is critical to suppress PROMPTs production in a sequence-independent manner. During this step, the endonuclease activity can be inhibited by the U1 signal on nascent antisense transcripts through the recognition of the U1 snRNA-Integrator which relies on the U1-Integrator axis to govern the direction of gene transcription.
Carbon storages and sequestration potentials of Sulula Mofa Forest Northern Ethiopia: Implications of managing forests for climate change mitigation
Authors: Yimer Hussen , Mammo Siraj 
Published: July 2023

Abstract
Forests provides various services and particularly, playing an incredibly greater role in balancing the global carbon balance and mitigating climate change by sequestering CO2 and storing organic carbon from the atmosphere. The overall objective of this study was intended to investigate the Carbon stock and CO2 sequestered potentials, along altitudinal, slope and aspect gradients of woody species of Sulula Mofa Forest, Northern Ethiopia. Systematic sampling technique was used to collect data from the three carbon pools. A total of 42 sample plots with size 400m2 for Tree pool, small plots with a size of 1m2 for Litter pool and Soil data collected from five sub-plots within each major plot and a diameter of > 5cm and at the depth up to 30cm land surface. DBH of woody species were measured in each major sampling plot at DBH ≥ 1.3m & the diameter at DBH ≥ 5cm. The biomass of woody species was estimated using the non destructive allometric equation, while appropriate laboratory procedures were used in the analysis of litter and soil biomass. A total of 54 woody plant species categorized into 50 genera and 33 families were recorded and identified. The total carbon stock and CO2 sequestration potentials of the woody species were estimated to 1121.14 t/ha & 4114.59 t/ha respectively, of which tree pools (658.55), Soil pools (315.88) and Litter pools (146.71). In the study forest, 92.59% of carbon stored and CO2e sequestered were contributed by the following ten woody tree species of the study forest; Ficus sur, Juniperus procera, Cupressus lusitanica, Eucalyptus globulus, Acacia abyssinica, Croton macrostachys, Erythrina abyssinica, Olea europaea subsp. cuspidata, Cordia africana and Pteroloblum stellautm with their descending order. Plots in the south and west part of the forest had more species diversity, greater carbon stocks and CO2 sequestration potentials. Plots at the middle and upper altitudes assessed had more species diversity. It can be concluded that the study forest contributes high carbon stock, better sequestration potential and plays a role in climate change mitigation. Thus, we suggests that, stakeholders should adopt effective forest conservation measures and get benefit from the bio-carbon fund from their activity (CDM of the Kyoto Protocol); as financial incentives to improve foresters’ Livelihoods.
Local Mitigation of Higher-Order Ionospheric Effects in DFMC SBAS and System Performance Evaluation
Authors: Sophan Somkit , Supnithi Pornchai , Myint Lin M. M. , Saito Susumu , Hozumi Kornyanat , Nishioka Michi 
Published: July 2023

Abstract
Dual-Frequency Muti-Constellation (DFMC) Satellite-Based Augmentation System (SBAS) is a new SBAS standard for aeronautical navigation systems. It supports aircraft navigation from the enroute to approach phases via the L1 and L5 frequencies (1575.42 and 1176.45 MHz). Although the ionosphere-free (IF) combination in the DFMC SBAS operation removes the first-order ionospheric delays in the pseudorange measurement, remaining terms including the satellite-clock offset errors and higher-order ionospheric (HOI) delays are still unaccounted for. The DFMC SBAS accuracy and integrity can be affected by the HOI effects, especially during severe ionospheric disturbances. In this work, we present the local DFMC SBAS corrections with and without the mitigation of HOI delays. We first estimate the HOI delay terms using the received pseudorange followed by separate satellite and receiver bias estimations based on the minimum sum-variance technique. The integrity terms can then be obtained. The performances of DFMC SBAS using GNSS data (GPS, Galileo, and QZSS) are evaluated using obtained GNSS data at stations in Thailand on the ionospheric quiet and disturbed days. The results show that with the HOI mitigation, the vertical positioning errors (VPE) on the quiet and disturbed days can be improved by 12% and 9%, whereas the vertical protection levels (VPL) are improved by 16% and 21%, respectively. In addition, we perform a preliminary assessment of DFMC SBAS based on the International Civil Aviation Organization (ICAO) requirements of two categories: LPV-200 and CAT-I showing promising results.