bluuebunny/crossref_metadata_2025_split huggingface dataset:
Polarization-encoded structured light generation based on holographic metasurface
Authors: Zhou Changda , Lu Peiyao , Yue Zhiyuan , Xu Jilian , Teng Shuyun 
Published: October 2022

Abstract
In view of large information capacity of holographic metasurface and wide applications of structured light, the polarization-encoded structured light generation is proposed based on holographic metasurface. The polarization-encoded structured light generators consist of rotated L-shaped nanoholes and they work under linearly polarized light illumination. The rotated L-shaped nanoholes simultaneously manipulate the intensity, phase and polarization of light field and generate the structured light composed by multiple perfect vortices with polarization-encoded OAM modes. The generated polarization-encoded structured lights also behave the incident polarization dependence. The polarization multiplexing performance of holographic metasurface is embodied in both incident and output fields and it is also verified by the numerical simulations. The designed method can be expanded to construct any transmission or reflection holographic metasurfaces and the generated structured lights provide more switchable OAM channels. The polarization-encoded structured light and the compact holographic metasurface are benefit to broadening the wide applications of structured lights.
A Modified U-Net Based Architecture for Brain Tumour Segmentation on BRATS 2020
Authors: Kajal Mansi , Mittal Ajay 
Published: October 2022

Abstract
The segmentation of brain tumours plays a significant role in the analysis of medical imaging. For a precise diagnosis of the condition, radiologists employ medical imaging. In order to recognise brain tumours from medical imaging, the radiologist's work must be challenging and complex. There are various distinct steps that may be used to identify brain tumours using magnetic resonance imaging (MRI). In the field of medical imaging, segmentation is the key stage. Segmentation is carried out after classification and image analysis. The appropriate segmentation is crucial since a brain tumour's incorrect detection might have a number of negative effects Method: In this work, the multimodal Brain tumour segmentation challenge was employed (MICCAI BRATS). We removed the brain tumour from the MRI images using the BRATS 2020 dataset, which is openly accessible. In this collection, there are 371 NiFTI-format folders. Convolutional neural networks (CNNs), a kind of deep learning based on an encoder-decoder model, are used in the proposed method to separate the tumours. Results: Accuracy = 0.9759, loss = 0.8240, and IOU = 0.6413 indicate that the proposed model is successful. The proposed model performs better when compared to the state-of-art segmentation models used in this study.
Astatine-211-Labeled Gold Nanoparticles for Targeted Alpha-particle Therapy via Intravenous Injection
Authors: Huang Xuhao , Kaneda-Nakashima Kazuko , Kadonaga Yuichiro , Kabayama Kazuya , Shimoyama Atsushi , Ooe Kazuhiro , Kato Hiroki , Toyoshima Atsushi , Shinohara Atsushi , Haba Hiromitsu , Wang Yang , Fukase Koichi 
Published: October 2022

Abstract
Background:
Alpha-particle radiotherapy has gained considerable attention owing to its potent anti-cancer effect. 211At, with a relatively short half-life of 7.2 h, emits an alpha particle within a few cell diameters with high kinetic energy, which damages cancer cells with high biological effectiveness. In this study, we investigated the intravenous injection of 211At-labeled gold nanoparticles (AuNPs) for targeted alpha-particle therapy (TAT).
Results:
Different kinds of surface-modified gold nanoparticles can be labeled with 211At in high radiochemical yield in 5 min, and no purification is necessary. In vivo biodistribution results showed the accumulation of 5 nm 211At-AuNPs@mPEG at 2.25 % injection dose per gram in tumors within 3 h via the enhanced permeability and retention effect. Additionally, we observed a long retention time in tumor tissues within 24 h. This is the first study to demonstrate the anti-tumor efficacy of 5 nm 211At-AuNPs@mPEG that can significantly suppress tumor growth in a pancreatic cancer model via intravenous administration.
Conclusions:
AuNPs are satisfactory carriers for 211At delivery, due to simple and efficient synthesis processes and high stability. Intravenous administration of 5 nm 211At-AuNPs@mPEG has a significant anti-tumor effect. This study provides a new framework for designing nanoparticles suitable for targeted alpha-particle therapy via intravenous injection.
The complete mitochondrial genome of the hermit crab Diogenes Edwardsii (Anomura: Diogenidae) and phylogenetic relationships within infraorder Anomura
Authors: Pang Xiaoke , Fu Wenjing , Feng Jianfeng , Guo Biao , Lin Xiaolong , Lu Xueqiang 
Published: October 2022

Abstract
Complete mitochondrial genome (mitogenome) can provide important information for gene rearrangement, molecular evolution and phylogenetic analysis. Currently, only a few mitogenomes of Paguridae in the infraorder Anomura have been reported. This study reports the first complete mitogenome of the hermit crab Diogenes Edwardsii assembled using high-throughput sequencing. The mitogenome of D. Edwardsii is 19,858 bp in length and comprises 13 protein-coding genes, 2 ribosomal RNA genes, and 22 transfer RNA genes. There are 28 and 6 genes observed on the heavy and light strands, respectively. The genome composition was highly A + T biased (72.16%), and exhibited a negative AT-skew (-0.110) and positive GC-skew (0.233). The D. Edwardsii mitogenome possessed distinctive gene arrangements compared with the reported mitogenomes of the species in the same family. Phylogenetic analyses based on the nucleotide dataset of 16 Anomura species indicated that D. Edwardsii was closely related to Clibanarius infraspinatus. Positive selection analysis showed that two residues located in cox1 and cox2 were identified as positively selected sites with high BEB value (> 95%), indicating that these two genes are under positive selection pressure. This finding helps to better understand the gene rearrangements and the evolutionary status of D. Edwardsii, and provide data for further phylogenetic study of Anomura.
Cognitive Disengagement Syndrome (CDS) (Formerly Sluggish Cognitive Tempo), Autism, and Insomnia Symptoms in Childhood Predict CDS in Adolescence: A Longitudinal Population-Based Study
Authors: Mayes Susan D. , Waschbusch Daniel A. , Fernandez-Mendoza Julio , Calhoun Susan L. 
Published: October 2022

Abstract
Our study is the first using multiple variables to compare concurrent with longitudinal predictors of cognitive disengagement syndrome (CDS). The population-based sample comprised 376 individuals (mean baseline age 8.7 and follow-up 16.4 years) rated by parents on the Pediatric Behavior Scale. The baseline CDS score was the strongest predictor of the follow-up CDS score. Baseline autism and insomnia symptoms also significantly predicted follow-up CDS. Multiple variables were concurrently related to CDS at both baseline and follow-up, including autism, insomnia, inattention, somatic complaints, and excessive sleep. Additionally, follow-up depression positively predicted follow-up CDS, and baseline hyperactivity/impulsivity negatively predicted baseline CDS. Oppositional defiant/conduct problems and anxiety were nonsignificant. Age, sex, race, and parent occupation were not related to CDS, and correlations between baseline CDS and 15 IQ, achievement, and neuropsychological test scores were nonsignificant. Results indicate childhood CDS is the strongest risk factor for adolescent CDS, followed by autism and insomnia symptoms.
Molecular evidence of Borrelia spp. in bats from Córdoba department, northwest Colombia.
Authors: López Yesica , Muñoz-Leal Sebastián , Martínez Caty , Guzmán Camilo , Calderón Alfonso , Martínez Jairo , Galeano Ketty , Muñoz Marina , Ramírez Juan David , Faccini-Martínez Álvaro A. , Mattar Salim 
Published: October 2022

Abstract
Background
The genus Borrelia is composed of two well-defined monophyletic groups that contain pathogens in humans: the Borrelia burgdorferi sensu lato complex (Bb), and relapsing fever (RF) group borreliae. Recently, a third group, associated with reptiles and echidnas has been described. In general, RF group borreliae use rodents as reservoir hosts; although Neotropical bats may also be involved as important hosts, with scarce knowledge of this association. The objective of this study was to detect the presence of Borrelia spp. DNA in bats from the department of Córdoba in northwest Colombia.
Methods
During September 2020 and June 2021, 205 bats were captured in six municipalities of Córdoba department, Colombia. Specimens were identified using taxonomic keys and DNA was extracted from spleen samples. A Borrelia specific real-time PCR was performed for the 16S rRNA gene. Fragments of the 16S rRNA and flaB genes were amplified in the positive samples by conventional PCR. The detected amplicons were sequenced by the Sanger method. Phylogenetic reconstruction was performed in Iqtree with maximum likelihood based on substitution model TPM3 + F + I + G4 with Bootstrap values were deduced from 1000 replicates. Sequences were submitted to phylogenetic analyses.
Results
Overall, 10.2% (21/205) samples were positive by qPCR; of these, 81% (17/21) and 66.6% (14/21) were positive for the 16S rRNA and flaB genes, respectively. qPCR-positive samples were then subjected to conventional nested and semi-nested PCR to amplify 16S rRNA and flaB gene fragments. Nine positive randomly selected samples for both genes were sequenced. The DNA of Borrelia spp. was detected in the insectivorous and fruit bats Artibeus lituratus, Carollia perspicillata, Glossophaga soricina, Phyllostomus discolor, and Uroderma sp. The 16S-rRNA gene sequences showed an identity of 97.66–98.47% with “Borrelia sp. clone Omi3”, “Borrelia sp. RT1S” and Borrelia sp. 2374; the closest identities for the flaB gene were 94.02–98.04% with “Borrelia sp. Macaregua”. For the 16S rRNA gene, the phylogenetic analysis showed a grouping with “Candidatus Borrelia ivorensis” and “Ca. African Borrelia” and for the flaB gene showed a grouping with Borrelia sp. Macaregua. The pathogenic role of the Borrelia detected in this study is unknown.
Conclusions
We describe the first molecular evidence of Borrelia spp. in the department of Córdoba in Colombia highlighting that several bat species harbor Borrelia spirochetes.
Holiday load power forecasting based on SOIF-PAMAM method *
Authors: Wang Xunyang , Wang Dingmei , Ma Zhicheng , Zhang Ruixiao 
Published: October 2022

Abstract
Focusing on the particularity of holiday load, in this paper, a periodic autoregres-sive moving average model (PAMAM) algorithm based on selecting optimal input features (SOIF) is proposed to predict the short-term holiday power load. In short-term load forecasting models, there are few researches on feature selection (FS). However, as more and more intelligent hybrid models are used in real-time load forecasting, FS has become a key factor affecting the forecasting accuracy. Based on the idea of SOIF, PAMAM model is proposed to improve the influence of FS factors, and the holiday equations are combined into periodic autoregressive moving average model, so as to improve the short-term forecasting. In order to simplify the calculation, in this paper, the probability distribution is used to calculate the FS, and the autoregressive spline algorithm is used to establish the nonlinear solar radiation and temperature effect model. Based on the statistics of solar radiation intensity, temperature and other data during the Spring Festival, in this paper we analyze the influence of the above factors on the short-term power load forecasting during holidays. Experimental results show that SOIF-PAMAM algorithm in which temperature and other weather conditions are considered can significantly improve the prediction accuracy, the average absolute error is 2.45%, and the root mean square error is 2.61%.
Antibacterial Property and Biodegradation of PLA/PBS Nonwoven Fabric Coated with Mangosteen Pericarp Extract
Authors: Boonyod Saowaluk , Pivsa-Art Weraporn , Nanthananon Phornwalan , Kwon Yong Ku , Pivsa-Art Sommai 
Published: October 2022

Abstract
In light of the eco-friendliness and antimicrobial property of mangosteen pericarp (MP), this research investigates the antibacterial activity of biodegradable poly(lactic acid) (PLA)/ poly(butylene succinate) (PBS) nonwoven fabric coated with MP extract. In the experiment, the MP extract concentrations were varied between 0 (uncoated), 0.3, 0.5, 1, 3, and 5 wt.%, and the experimental bacteria strains were Escherichia coli and Staphylococcus aureus. The results revealed that the MP extract inhibited the growth of E. coli and S. aureus. The tensile strength and the MP extract concentration were positively correlated, while the elongation at break was inversely correlated with the MP extract concentration. Meanwhile, higher MP extract concentrations had minimal effect on the biodegradability of the MP-coated PLA/PBS nonwoven fabrics. Essentially, the MP extract holds promising potential as a natural antibiotic against the bacteria. Specifically, the novelty of this research lies in the use of mangosteen pericarp, an agricultural waste, in biodegradable nonwoven fabric to inhibit the bacterial growth.
“They want you to know who they really are inside of the old visage” - biographical storytelling as a methodological tool to explore emotional challenges in old age
Authors: Fang Chao , Comery Alastair , Carr Sam 
Published: October 2022

Abstract
Background: Older people are at risk of confronting emotional challenges, including loneliness, depression, anxiety and low-levels of wellbeing, as a result of varied ageing-related changes. These emotional challenges may further give rise to socio-health issues and even increased mortality, presenting a pressing public health issue in the context of population ageing. By employing a biographical lens, we aim to introduce storytelling as a methodological tool to more holistically explore the construction of their emotional challenges within the context of their life histories.
Methods: Building upon theoretical understandings about the social construction of the life course, we draw on a qualitative study about older people’s loneliness to showcase the methodological value and feasibility of implementing biographical storytelling, to better understand the nuanced and sometimes painful emotional experiences facing people alongside their ageing.
Results: Findings from the qualitative study we showcase highlight that not only older people’s emotional pains but also their (in)ability to deal with such are deeply rooted in their earlier lives. The biographical nature of these findings further illustrates the methodological merit of biographical storytelling, integrating meaningful narratives from across different life stages to more holistically understand and support people’s emotional challenges and wellbeing in old age.
Conclusion: We argue that biographical storytelling is a particularly useful research methodology to explore the experiences and needs of older people, who have often accumulated rich life stories and who may be at increased risk of facing changes and challenges following bodily deterioration and other ageing-related losses. This methodological development can empower older people to reconstruct their ageing lives in the context of their biography as an ongoing construction. The development also lies in an insightful analytical lens to explore how older people’s earlier life experiences may be carried forward and confronted to shape their emotional stability in the present and future stages of their ageing lives.
A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco
Authors: BOURJILA Abdelhak , DIMANE Fouad , GHALIT Mohammad , TAHER Morad , KAMARI Salim , ACHOUKHI Iliass , HAMMOUDANI Yahya EL , SAADI Omar 
Published: October 2022

Abstract
For effective coastal aquifers management, it is strongly required to effectively analyze seawater intrusion (SWI). This study used an integrated approach of hydrogeochemical, statistical, geological, and geospatial techniques to assess the extent of SWI in the Ghiss-Nekor aquifer by evaluating the physicochemical parameters of 52 groundwater samples. Two main groundwater facies were identified, Na-Cl (38%) and Ca-Mg-Cl-SO4 (62%). The correlation matrix and a principal component analysis (PCA) depicted that the high salinization in the study area is influenced by both geogenic and anthropogenic factors, including a potential mixing with seawater. A single indicator or a small number of techniques were insufficient to evaluate SWI owing to the multiple causes of salinization in the study area. As a result, we coupled various geochemical indicators with geospatial methods to assess this complicated phenomenon. Accordingly, several ionic ratios (Cl/HCO3, SO4/Cl, Na/Cl, and Mg/Mg + Ca) and SWI indices (GQIswi and SMI) were overlaid to generate the final map that highlights the regions prone to SWI. Most of the SWI spots were discovered within two kilometers or less from the coast. The saline water detected far from the coast was interpreted as the encroachment of seawater from the Souani area being trapped where the clay-marly substratum is deep. These results support the application of geospatial tools to manage groundwater resources in water-stressed areas with complex aquifer systems, by combining various ionic ratios and indices. These findings will assist decision-makers in the Al Hoceima region in developing suitable groundwater management plans and strategies.
rxCOV: A metric for assessing immunoassay analyte fidelity
Authors: Brand Rhonda M. , Pitlor Danielle , Metter E , Dudley Beth , Karloski Eve , Zyhowski Ashley , Brand Randall , Uttam Shikhar 
Published: October 2022

Abstract
Immunoassay based bioanalytical measurements are widely used in a variety of biomedical research and clinical settings. In these settings they are assumed to faithfully represent the experimental conditions being tested and the sample groups being compared. Although significant technical advances have been made in improving sensitivity and quality of the measurements, currently no metrics exist that objectively quantify the fidelity of the measured analytes with respect to noise associated with the specific assay. Here we introduce ratio of cross-coefficient-of-variation (rxCOV), a fidelity metric for objectively assessing immunoassay analyte measurement quality when comparing its differential expression between different sample groups or experimental conditions. We derive the metric from first principles and establish its feasibility and applicability using simulated and experimental data. We show that rxCOV assesses fidelity independent of statistical significance, and importantly, identifies when latter is meaningful. We also discuss its importance in the context of averaging experimental replicates for increasing signal to noise ratio. Finally, we demonstrate its application in a Lynch Syndrome case study. We conclude by discussing its applicability to multiplexed immunoassays, and to paired and unpaired data. We anticipate rxCOV to be adopted as a simple and easy-to-use metric to help assess robustness of immunoassay results in real-time.
Stakes of Neuromorphic Foveation: a promising future for embedded event cameras
Authors: Gruel Amélie , Hareb Dalia , Grimaldi Antoine , Martinet Jean , Perrinet Laurent , Linares-Barranco Bernabé , Serrano-Gotarredona Teresa 
Published: October 2022

Abstract
Foveation can be defined as the organic action of directing the gaze towards a visual region of interest, to acquire relevant information selectively. With the recent advent of event cameras, we believe that taking advantage of this visual neuroscience mechanism would greatly improve the efficiency of event-data processing. Indeed, applying foveation to event data would allow to comprehend the visual scene while significantly reducing the amount of raw data to handle.
In this respect, we demonstrate the stakes of neuromorphic foveation theoretically and empirically across several computer vision tasks, namely semantic segmentation and classification. We show that foveated event data has a significantly better trade-off between quantity and quality of the information conveyed than high or low resolution event data. Furthermore, this compromise extends even over fragmented datasets. Our code is publicly available online at: github.com/amygruel/FoveationStakes DVS/.
Adapting to Uncertainty: A Mixed Methods Study of Parents Whose Infants are in the NICU for Reasons Other than Prematurity
Authors: Rholl Erin , Leuthner Steven , Malin Kathryn , Lagatta Joanne , Olson Krisjon 
Published: October 2022

Abstract
Objectives: Parents of premature infants experience stress related to uncertainty. Less is known about the NICU experience of other parents. Our objectives were (1) describe the experience of parents whose infants are admitted to the NICU for reasons other than prematurity and (2) examine the impact of uncertainty and social factors.
Study Design: Mixed-methods study utilizing interviews, surveys, and chart review to assess parent experience in relation to uncertainty and social factors.
Results: 49 parents were enrolled. Themes included. 1. NICU Parents experienced uncertainty. Adaptation improved well-being. 2. Parents adapted by understanding their infant’s condition. While provider counseling helped parents adapt, uncertainty focused counseling increased distress. 3. Structural vulnerability impacted uncertainty. 4. Discrimination prevented adaptation.
Conclusion: The NICU produces uncertainty for parents. Communicating a team lead, expertise, and interventional plans promoted adaptation. Parents with structural vulnerability use prior skills to manage uncertainty. Parents experiencing discrimination report alienation prevented adaptation.
New diverse soliton solutions for the coupled Konno-Oono equations
Authors: Zahran Emad H.M. , Bekir Ahmet 
Published: October 2022

Abstract
The main aim of this article is to established new impressive diverse soliton solutions to the nonlinear Coupled Konno-Oono model (NCKOM) that represents current-field string interact with an external magnetic field. The achieved soliton solutions will give stretch study for this model and all related phenomena’s. Three different schemas have been called for this purpose. The first one is the extended direct algebraic method (EDAM), while the second is the Paul-Painlevé approach method (PPAM) and the third one is the Riccati-Bernoulli Sub-ODE method (RBSODM). Brief comparisons between our results and that achieved previously have been listed.