bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between the coronavirus 2019 disease (COVID-19) vaccines and the development of new lower urinary tract symptoms: A cross-sectional study on medical students.
Authors: AlSmadi Jad Khaled , Alswiti Adnan , Hamdan Zaid , Sharkas Layan , Abualnadi Mohammad , Alnsour Mass 
Published: May 2022

Abstract
Background: We created an Internet-based survey of a COVID-19 vaccinated young population to evaluate the occurrence of urinary tract symptoms after getting vaccinated. Methods: From February to April 2022 a cross-sectional survey was conducted among medical students at six medical colleges in Jordan using a self-administered questionnaire. The questionnaire consisted of four sections: respondents’ basic and medical information, COVID-19 vaccines information, development of new symptoms, and IPSS scores. The difference between groups was assessed using Kruskal-Wallis-test, Pearson’s chi-squared test, and Mann-Whitney-U test. The increase in IPSS-scores pre- and post-vaccines was tested by Wilcoxon-Signed-Ranks-test.Results: A total of 341 valid responses were collected, from whom 340 had got a COVID-19 vaccine. The incidence of occurrence of new dysuria was 6.2%, gross hematuria 1.8%, and LUTS 7.6%; without significant difference between vaccine types. Demographic data, the number of vaccine doses, previous medical and surgical conditions, and being on immunosuppressant medications did not significantly increase the incidence of symptoms after taking the vaccine. Conclusions: There was no relationship between taking COVID-19-vaccine and the development of new lower urinary tract symptoms. In addition, vaccine types did not differ in terms of dysuria, gross hematuria, and other lower urinary tract symptoms (LUTS). COVID-19 vaccines may increase IPSS-scores, especially for urgency, but without affecting the bothersome scores. Thus COVID-19 vaccines are safe from a urological point of view and the development of a new lower urinary tract symptom should be investigated appropriately without presuming that it could be from the vaccine.
Predictive Factors for Relapse in Triple-negative Breast Cancer Patients Without Pathologic Complete Response After Neoadjuvant Chemotherapy
Authors: Toss Angela , Venturelli Marta , Civallero Monica , Piombino Claudia , Domati Federica , Ficarra Guido , Combi Francesca , Cabitza Eleonora , Caggia Federica , Barbieri Elena , Barbolini Monica , Moscetti Luca , Omarini Claudia , Piacentini Federico , Tazzioli Giovanni , Dominici Massimo , Cortesi Laura 
Published: May 2022

Abstract
Triple-negative breast cancer (TNBC) patients who do not obtain pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) present higher rate of relapse and worse overall survival. Risk factors for relapse in this subset of patients are poorly characterized. This study aimed to identify predictive factors for relapse in TNBC patients without pCR after NACT. Women with TNBC treated with NACT from January 2008 to May 2020 at the Modena Cancer Center were included in the analysis. We identified 142 patients with median follow-up of 55 months. After NACT, 62 patients obtained pCR (43.9%). Young age at diagnosis (< 50 years) and high ki-67 (>20%) were significantly associated to pCR. Lack of pCR after NACT resulted in worse 5-year EFS and OS. Factors independently predicting EFS in patients without pCR were the presence of multifocal disease (HR 3.22; 95% CI, 1.28–8.11; P 0.01) and Residual Cancer Burden (RCB) III (HR 3.8; 95% CI, 1.12–12; P 0.03). These data can be used to stratify patients and potentially guide treatment decision-making, identifying appropriate candidates for treatment intensification especially in neo/adjuvant setting.
Structural equation modeling of the effects of psychological distress and a fear of coronavirus disease 2019 on diabetes care in Japan
Authors: Minoura Akira , Sugiyama Takehiro , Koyama Teruhide , Yoshioka Takashi , Tabuchi Takahiro 
Published: May 2022

Abstract
This study aimed to examine the effects of psychological distress and a fear of coronavirus disease 2019 (COVID-19) on diabetes care in Japan. We used data from a 2020 nationwide internet survey in Japan involving 28,000 respondents aged 15–79 years. The question items included psychological factors (Kessler psychological distress scale and fear of COVID-19), employment, trust in neighbors, informal caregiving, and history of diabetes care. After excluding respondents with comorbidities and those who had not visited the hospital, 625 patients with diabetes were analyzed. Statistical mediation was then examined through a path analysis using structural equation modeling. Discontinued diabetes care was independently associated with psychological distress (risk ratio = 1.44, 95% confidence interval [1.01–2.06]) and a fear of COVID-19 (1.41 [1.01–1.95]). The results of the structural equation modeling indicated that a fear of COVID-19, employment, trust in neighbors, and informal caregiving were indirectly associated with continued diabetes care via psychological distress. These findings suggest that a fear of COVID-19 is associated with continued diabetes care via psychological distress. COVID-19 pandemic may affect psychological distress and lead to refrained diabetes care among Japanese patients with diabetes. Moreover, employment, trust in neighbors, and family caregiving were also found to buffer refrained diabetes care. As psychological factors and socioeconomic status can affect diabetes care, a fear of COVID-19 should be considered in patients with diabetes to help ensure the continuation of diabetes treatment.
Design, Development and Performance Analysis of Intelligent Virtual Assistive aid with Multi Sensor Fused Navigation for Visually Impaired People
Authors: Bala Myneni Madhu , Vasundhara D. N. , CH V K N S N Moorthy 
Published: May 2022

Abstract
Wearable auxiliary devices’ research and innovations for visually impaired elderly people and blind are playing an attractive role. These inventions attempt to improve the quality of visually impaired people life. However, in spite of the promising research outcomes, the existing wearable aids has numerous weaknesses in terms of weight, feature limitations and cost. The main objective of this manuscript is to provide the detailed design of a novel lightweight wearable aid for visually impaired and blind people. The proposed research aims to design an intelligent virtual assistant that will guide for walking by detecting the environment around them. The framework proposed to develop the virtual assistant is a fusion of sensor based, vision based and smart application. The visual design components include obstacle detection, uneven surface detection, slope and downward steps detection, pothole detection and hallow object detection; location tracking, walking guide, image capturing and video recording. Based on the appearance of this prototype named as Blind's Apron. The invention focusses on parameters like reduction on size (quite handy) and light weight (comfortable to wear), and minimum user intervention (high end operations like switching on and off). All user interactions are friendly and affordable to everyone. The results obtained in this research assures a high end technical intervention with ease of use while comparing with the current working products in this field. These are demonstrated with many blindfolded subjects on visually impaired participants. Finally, the performance of the proposed virtual assistant tested in real-time and targeted people. The results are assured the proposed invention is light weight and in easily understandable instructions.
Energy cascades in polaritonic systems with energetic disorder observed by ultrafast two-dimensional white-light spectroscopy
Authors: Son Minjung , Armstrong Zachary , Allen Ryan , Dhavamani Abitha , Arnold Michael , Zanni Martin 
Published: May 2022

Abstract
Exciton-polaritons are hybrid states formed when molecular excitons are strongly coupled to photons trapped in an optical cavity. These systems have many attractive properties, including large delocalization lengths, but questions regarding the role of energetic disorder remain unanswered. Here, we fabricate microcavities with two different layers of semiconducting carbon nanotubes as a way of controlling the energetic disorder and exploring its impact on energy transfer. Using ultrafast two-dimensional white-light spectroscopy, we observe a delayed growth of a cross peak between the upper- and lower-polariton states. Using Redfield theory, we assign the growth to cascading energy transfer down a manifold of new electronic states created by energetic disorder that is of comparable magnitude to the light-matter coupling. These results broaden our understanding of energy transfer dynamics in exciton-polariton systems beyond the Rabi contraction picture and enable control over how energy is transported in polaritonic systems.
Dynamic Graph Representation Based on Temporal and Contextual Contrasting
Authors: Huang Jin , Zhu Wentai , Xiao Jing , Lu Tian , Yu Weihao 
Published: May 2022

Abstract
Dynamic graph representation learning is critical for graph-based downstream tasks such as link prediction, node classification, and graph reconstruction. Many graph-neural-network–based methods have emerged recently, but most are incapable of tracing graph evolution patterns over time. To solve this problem, we propose a continuous-time dynamic graph framework: dynamic graph temporal contextual contrasting (DGTCC) model, which integrates both the temporal and topology information and mines the latent evolution trend of graph representation. In this model, the node representation is first generated by a self-attention–based temporal encoder, which measures the importance weights of neighbor nodes in temporal sub-graphs and then stores them in the contextual memory module. After sampling the node representation from the memory module, the model maximizes the mutual information of the same node that occurred in two nearby temporal views by the contrastive learning mechanism, which helps track the evolutional trend of nodes. In inductive learning settings, the results on four real datasets demonstrate the superiority of the proposed DGTCC model.
De novo design of a new open-shell nitrogen-centered diradicaloid with tunable stimuli-responsive electronic properties and diradical character
Authors: Huang Bin , Kang Hao , Zhang Changwei , Zhao Xiao-Li , Shi Xueliang , Yang Hai-Bo 
Published: May 2022

Abstract
In this study, we present the de novo design of a new open-shell nitrogen-centered diradicaloid which can reversibly respond to multiple stimuli and display the tunable diradical character and chemo-physical properties. 1a was successfully synthesized through a simple and high-yielding two-step synthetic strategy. Both experimental and calculated results indicated that 1a displayed an open-shell singlet ground state with small singlet-triplet energy gap (ΔES−T = -2.311 kcal mol− 1) and a modest diradical character (y0 = 0.55). Interestingly, 1a was demonstrated to undergo reversible Lewis acid-base reaction with both Lewis acid and Brønsted acid to form acid-base adducts due to its intrinsic Lewis basicity. The formation of Lewis acid-base adduct was proven to effectively tune the ground-state electronic structures of 1a as well as its diradical character and spin density distributions. Based on this, we succeeded in devising a photoresponsive system based on 1a and a commercially available photoacid merocyanine (MEH). We believe that our studies including the entirely new molecular design methodology and the newly found stimuli-responsive organic diradicaloid system will open up a new way to develop new diradicaloids with tunable properties and even intelligent-responsive diradicaloid-based materials.
Synchronous Analysis of Chiral Mesostructured Inorganic Crystals Using Three-dimensional Electron Crystallography
Authors: Ai Jing , Zhang Xueliang , Bai Te , Shen Qing , Oleynikov Peter , Duan Yingying , Terasaki Osamu , Che Shunai , Han Lu 
Published: May 2022

Abstract
Chiral mesostructures exhibit distinctive twisting and helical hierarchical stacking ranging from atomic to micrometre scales. A detailed analysis of these materials is key to understanding their characteristic chiral anisotropy. However, the determination of these multilevel chirality remains challenging due to the limited information from spectroscopy, diffraction techniques, scanning electron microscopy and the two-dimensional projections in transmission electron microscopy. Herein, we report a general approach to determine chiral hierarchical mesostructures based on three-dimensional electron diffraction tomography (3D EDT), by which the structure can be solved synchronously according to the quantitative measurement of diffraction spot deformations and their arrangement in reciprocal space. This method was verified on two samples—chiral mesostructured nickel molybdate and chiral mesostructured tin dioxide—revealing hierarchical chiral structures that cannot be determined by conventional techniques. This approach provides more precise and comprehensive identification of the hierarchical mesostructures, which is expected to advance our understanding of structural–chiral anisotropy at the fundamental level.
Accelerating the Retrieval Efficiency of Biological Genes Based on Cached Trie Tree
Authors: Xu Chun , Yue Yi , Dong Menglong , Xia Chuan , Wu Yunzhi , Ye Cheng , Ma Zhiyu 
Published: May 2022

Abstract
with the rapid development of the third generation sequencing technology and the rapid growth of biological sequence data such as DNA, how to efficiently retrieve a gene cluster from it is a major challenge. This paper mainly introduces the acceleration of DNA gene sequence retrieval based on trie. The use of database to retrieve huge gene sequence clusters has encountered a bottleneck in performance, and the retrieval efficiency is becoming more and more slow. When faced with millions of data, it takes a minute to query a gene cluster. When we build a biological gene database, it takes 1-2 minutes to query the matched genes, which is extremely inefficient for user experience or scientific research retrieval. This paper introduces a reasonable use of memory space to build a trie tree with cache to speed up the retrieval of gene sequences.
Analyzing A High Gain, Low Power OTA for Biomedical applications in 180 nm CMOS Technology
Authors: Kumar Manoj , Scholar Research 
Published: May 2022

Abstract
As biopotential signals are having very small frequency variations tens of Hz and micro to millivolts amplitude in the range. While acquiring biopotential signals from a human body, intrusions occur in the acquisition system. Thus for acquiring noise-free signals, the enhanced Biopotential Acquisition unit having a high gain with an improved common-mode rejection ratio readout front-end is designed. To solve mentioned issues, a Fully Differential Two-Stage OTA is introduced in this paper to achieve high DC gain and high Unity-gain frequency. Operational Transconductance Amplifier operates at ± 0.2 V supply voltage, the bias current of 20µA, and achieves a high gain of 74dB. The design comprises a frequency compensation structure by connecting a capacitor across a high voltage stage and the load capacitor is connected across output by following the relation of CC > 0.22 CL. The proposed high gain stage achieves additional gain with reduced noise of 0.2 mV/\(\sqrt{\text{H}\text{z}}\) with a minimal power consumption of 1.9 nW. The analog readout front-end is executed using 180 nm CMOS Technology and utilizes less power, making it ideal for battery-powered devices in Biopotential Acquisition systems.
Brain Tumor Segmentation and Classification using hybrid Deep CNN with LuNet Classifier
Authors: Balamurugan T. , Gnanamanoharan E. 
Published: May 2022

Abstract
The early diagnosis of brain tumors is critical to enhancing patient survival and prospects. The magnetic resonance imaging (MRI) brain tumor images must be physically analyzed in this work. As a result, computerized approaches for more precise tumor diagnostics are required. However, evaluating shape, volume, borders, Tumor detection, size, segmentation, and classification remains challenging. This work proposes a hybrid Deep Convolutional Neural Network (DCNN) classifier using an enhanced LuNet classifier algorithm in this proposed work. The primary intention of this work is to determine the area of the tumor site and classify brain tumors as benign or malignant. Initially, we split the data using the extended LuNet algorithm. Grey-level co-occurrence matrix (GLCM) and VGG16 extracted the features, yielding 13 classification features. For pretreatment, the Laplacian of Gaussian filter (LOG) is used. Overall, the proposed approach tries to increase the performance of non-deep learning classifiers. Traditional classifiers are superior deep learning methods because they require fewer training data sets, have lower computing complexity, lower user costs, and are easier to use by people with less training experience. The proposed algorithm achieves a better accuracy rate of 99.7%. Compared to the existing algorithm, the proposed approach outperforms them.
A bibliometric analysis on burn sepsis
Authors: Cao Zhi , Zhang Yu , Luo Jin-Hua , Liao Wen-Qiang , Cheng Xing , Zhan Jian-Hua 
Published: May 2022

Abstract
Background
Sepsis is one of the most common complications in burn patients and causes high morbidity, especially in those with severe burns. Nevertheless, there are no formal criteria for diagnosing and treating burn sepsis. Therefore, we will apply bibliometric analysis to reveal research trends in this field, predict its possible hot spots, and provide new ideas for diagnosing and treating this area of burn sepsis.
Methods
We screened for relevant literature on burn sepsis that met WOS database’s inclusion criteria and analyzed publication trends and research hot spots in related fields using VOSviewer software.
Results
From 1981 to 2022, we screened 2486 documents that met the requirements and analyzed them bibliometrically. The American scholar Herndon DN had a much higher h-index (47) than other authors. Most published, cited, and h-indexed publications in the USA(Np: 1193, Nc: 42154, H: 98). The second most publishing country is China, but the second most cited and h-indexed country is Germany. Burns also outperforms other journals in this field (Np: 376, Nc: 8019, H: 46). “Biomarkers” is a newly emerging keyword (cluster “clinical research,” APY was 2018.16), and clinically relevant research in burn sepsis may be future research trend.
Conclusions
Sepsis in burn patients has unique pathophysiological characteristics and the general diagnostic criteria for sepsis lack specificity. Therefore, we must establish a database and construct an intelligent predictive model to help achieve a more individualized and precise early diagnosis and treatment of burn sepsis. This may also be an important development direction for future research in this field.
Treatment of long-term endophthalmitis developing after intraocular lens implantation in children：a retrospective study
Authors: Zou Chen , Zhang Ting , Wang Xin , Zhuang Hong , Jiang Rui 
Published: May 2022

Abstract
Background
To discussed the risk factor and the management of vitrectomy for long-term endophthalmitis developing after intraocular lens (IOL) implantation in children.
Methods
We retrospectively investigated the clinical characteristics and surgical outcomes of long-term endophthalmitis developing after IOL implantation in children.
Results
Four eyes of four children were included in the study. The mean time to endophthalmitis development after IOL implantation was 3.0 ± 0.8 years. The corneal or scleral sutures may have been caused the infection. All four patients underwent vitrectomy and received intravitreal antibiotics with or without IOL removal. At the last follow-up, the outcomes were satisfactory; the fundus was clear, the retina remained attached, the visual acuity improved, and there were no severe complications.
Conclusions
Complete vitrectomy in the treatment of long-term endophthalmitis after IOL implantation in children is essential and effective. In the prevention of long-term endophthalmitis, appropriate removal of corneal sutures is critical, and technology of suture-free fixation of IOL is promising.
The impact of oral and oropharyngeal cancer patient’s medical profile on dental treatment needs and treatment-related toxicities. A cross-sectional study
Authors: Rodrigues-Oliveira Leticia , Rivera César , López-Cortés Xaviera A. , Mak Milena Perez , Migliorati Cesar Augusto , Oliveira Maria Cecília Querido , Palmier Natalia Rangel , Gueiros Luiz Alcino , Vargas Pablo Agustin , Brandão Thaís Bianca , Santos-Silva Alan Roger , Prado-Ribeiro Ana Carolina 
Published: May 2022

Abstract
Purpose: To characterize oral and oropharyngeal squamous cell carcinoma (OOPSCC) patients with dental needs before cancer treatment and to correlate their baseline characteristics with cancer treatment-related toxicities. Methods: A prospective cohort study that recruited OOPSCC patients referred to the Dental Oncology Service at the Instituto do Câncer do Estado de São Paulo, Brazil, for dental treatment between November/2019 and December/2020. Comorbidities, sociodemographic data, medication in use, treatment-related toxicities and altered laboratory tests results were correlated. Results: 110 patients were included. The most common comorbidities reported and altered laboratory results were respectively hypertension, dyslipidemia, diabetes and C-reactive protein, hemoglobin, and hematocrit. Toxicities were progressive over time. There was no correlation between the comorbidities and cancer treatment-related toxicities. There was a positive correlation between medications in use and oral mucositis (OM) and a negative correlation between medications and dysgeusia. OM was associated with altered laboratory findings, including thyroxine (T4) and free thyroxine (FT4) starting at D15; calcium at D5/10/30; urea at D25/30/33-35; creatinine at D15/30; alkaline phosphatase at D20/25; syphilis at D15/30. Family income and housing were OM predictors. Oral candidiasis (OC) was associated with syphilis and HIV at D20. Conclusion: Laboratory findings including altered T4, FT4, urea, calcium, alkaline phosphatase, creatinine, and syphilis may be useful clinical predictors of OM. Syphilis and HIV may also be considered reliable predictors of OC secondary to OOPSCC treatment. Despite the high frequency of comorbidities and abnormal laboratory results, dental treatment before cancer treatment resulted in no adverse events in our sample.