bluuebunny/crossref_metadata_2025 huggingface dataset:
Sound field recovery based on numerical data-driven and equivalent source method
Authors: Liu Yuan , Hu Dingyu , Li Yongchang
Published: November 2023

Sparse representation has been applied to realize an accurate description of the sound field from limited set of measurements. The prerequisite of this application is that sound field can be sparsely represented in a specific basis. However, most of the sparse bases are constructed by using the physical models of sound field, and are only effective for a specific category of sound sources. In this paper, the data-driven dictionary learning approach is exploited to obtain a sparse basis of sound field. Meanwhile, to reduce the difficulty and workload of the collection of data sample, the equivalent source method is utilized to collect data samples by means of simulations and thus the data samples can be generated by taking advantage of sound field properties. The performance of the sound field recovery with sparse sampling based on learned dictionary is examined and is compared with those based on other sparse bases. The result indicates that numerical data-driven model is more flexible and is not limited to a specific category of sound sources. The advantage of the proposal is presented by the results of numerical simulation and experiment.
Nano-scale wear: A critical review on its measuring methods and parameters affecting nano-tribology
Authors: Sadeghi Behzad , Cavaliere Pasquale , Shabani Ali , Pruncu Catalin Iulian , Lamberti Luciano
Published: November 2023

This paper presents a critical review on the measuring methods and parameters affecting nano-tribology in the context of nano-scale wear. Nano-scale wear phenomena play a crucial role in various industries, including micro/nano-systems, electronics, and biotechnology. The review begins by discussing the significance of nano-scale wear and its impact on device performance, lifespan, durability, energy efficiency, cost savings, and environmental sustainability. It then delves into the measuring methods employed to assess nano-scale wear, including scanning probe microscopy (SPM) techniques such as atomic force microscopy (AFM) and friction force microscopy (FFM). The capabilities of AFM and FFM in studying the roughness of surface, adhesion, friction, scratch, abrasion, and nano-scale material transfer are highlighted. Additionally, the review explores the parameters affecting nano-wear, such as lubrication strategies, stress levels, sliding velocity, and atomic-scale reactions. The article concludes by emphasizing the importance of advanced microscopy techniques in understanding tribological mechanisms at different scales, bridging the gap between macro and nano-tribology studies.
Governing religion in Russia and Bulgaria: Between religious diversity and religious nationalism
Authors: Iliyasov Marat , Bogdanova Victoria , Yakova Liliya
Published: November 2023

After the collapse of Communism, a major overhaul of the systems of religious governance took place in Bulgaria and Russia. Policies of liberalisation were pursued in both states which created conditions for the revival of religion and growth of religious diversity. This research article analyses the state approaches and policy orientations characterising the governance of religious diversity in Russia and Bulgaria in the post-Communist years as well as challenges to the fulfilment of religious freedom and religious equality. Using the lens of religious nationalism, it demonstrates that religious nationalistic tendencies are significant in both states when it comes to the governance of religious diversity. Furthermore, the analysis suggests that such tendencies are inscribed in a contradiction between constitutionally-established principles and nationalism-tainted practices when it comes to the treatment of some minority religions or/and groups.
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis
Authors: Ou Ruonan , Luo Linqing , Soga Kenichi
Published: November 2023

Material cracking is one of the key mechanisms contributing to structural failure. Distributed fiber optic sensing (DFOS) can measure the strain profile along optical fiber distributively. However, the conventional strain measurement using a Brillouin-DFOS system (Brillouin optical time-domain analysis/reflectometry (BOTDA/R)) has a decimeter-order spatial resolution, making it difficult to measure the highly localized strain generated by a sub-millimeter crack. This paper introduces a crack analysis method based on decomposing the Brillouin scattering spectrum to overcome the spatial resolution induced crack measurement limitation of the BOTDA/R system. The method uses the non-negative least squares algorithm to back-calculate the strain profile within the spatial resolution around each measurement point. The performance of this method is verified by a four point bending test of a brittle slag cement-cement-bentonite beam. The crack width estimation error is improved to ±0.005 mm for a crack as narrow as 0.76 mm.
Chemo sickness as existential feeling: A conceptual contribution to person-centered phenomenological oncology care
Authors: Hart Ryan
Published: November 2023

In response to cancer, patients may be thrown into precarious processes of remaking their purpose, identity, and connections to the world around them. Thoughtful and thorough responses to these issues can be supported by person-centered phenomenological approaches to caring for patients. The importance of perspectives on illness offered by theoretical phenomenology will become apparent through the example of the experience of nausea, or perhaps more accurately put—chemo sickness. The focus here is on how chemo sickness alters one's way of relating to the world. I will examine the phenomenon of nausea through the lens of the phenomenological concept of mood—an existential feeling that engenders a diffused tone permeating through one's world and shapes the envisioned possibilities on one's horizon.
Centring micro-politics in system leadership in a multi-academy trust
Authors: Innes Mark , Armstrong Paul , Courtney Steven
Published: November 2023

System leadership has historically been used normatively as a concept to promote and privilege multi-site working across education institutions as part of a so-called self-improving system. In this article, we argue that a consequence of this definition is that any superficially ‘leaderful’ practice in such multi-site institutions is understood and legitimated through a system leadership lens. We argue further that when multi-academy trust (MAT) actors understand what they do as system leadership in this way, they may misdiagnose the role and importance of micro-politics as an explanatory model for their practice and motivations. Accepting a system leadership framing for their practice enables participants to underplay how they engage in careerist micro-political strategies and ploys within a wider framing of collaboration, networking and normal MAT functioning. To make these arguments, we draw on interview and observation data and analysis from a case study investigating literacy policy in a MAT in England. Our analysis contributes to the growing critical literature on system leadership and prompts questions about what organisational and sociological processes its claimed use conceals.
The 2021 Nigerian Twitter ban: A text-analytics and survey insight into public reactions and outcomes in the early weeks of the ban
Authors: Mohammed Abdullateef , Adelakun Lateef A.
Published: November 2023

The suspension of the micro-blogging platform, Twitter, by the federal government of Nigeria on 5 June 2021 for ‘consistent non-removal of inciting and divisive contents’, undoubtedly generated mixed feelings among social media users in and outside the country. Hinging on Ball-Rokeach & DeFleur’s Media Systems Dependency theory, this study adopts a combination of text mining, sentiment analysis and survey approaches to make evident social media users’ reactions to the Twitter ban in 2021. Of the 3885 social posts that were sampled across three platforms (Facebook, Twitter and Nairaland) between 5 June and 16 July 2021, 73% decry while just 27% extol the Twitter ban action. The Nvivo word frequency results showed that the top five keywords used across the sampled posts were: ‘end’, ‘#twitterban’, ‘unlawful’, ‘suspension’ and ‘Nigeria’ ( n = 11,925; 24%), suggesting that majority of users were unhappy with the shutdown. The complementary opinion sampling conducted on students of Nile University of Nigeria revealed that the majority of the 319 sampled respondents (264; 83%) responded to VPNs to access and use Twitter despite the ban. Among the daily Twitter habits of the respondents most affected by the shutdown were Trending Topics Search (22%), Social Engagement (20%), Daily News Search (20%), Product Search (13%), Product Marketing (10%), Customer Relations (9%), Jobs Search (4%) and others (2%). The study recommends the consideration of better sanctioning means for erring social media companies that will not stifle the exchange of ideas online in this democratic age.
The Holy Grail of endometriosis biomarkers in the diagnostic process – How much would it be worth and what does it look like?
Authors: Kacperczyk-Bartnik Joanna , Żeber-Lubecka Natalia , Feduniw Stepan , Bartnik Paweł , Włodarczyk Marta , Abramiuk Monika , Ciebiera Michał
Published: November 2023

Previously, the gold standard for the diagnosis of endometriosis involved the performance of laparoscopic surgery, which allows the visualization and histological examination of the endometrial tissue. According to the latest guidelines published by the European Society of Human Reproduction and Embryology (ESHRE) in 2022, surgery is recommended only in patients with diagnostic difficulties associated with the use of non-invasive methods or in case of inappropriate or unsuccessful empirical treatment. At the same time, it is not recommended to use the measurement of biomarkers in the endometrial tissue, blood, menstrual or uterine fluids to diagnose endometriosis as the ESHRE guideline development group indicated the need of larger, multi-center prospective studies on this matter. The aim of this narrative review is to present advances in knowledge on non-invasive endometriosis diagnostic opportunities with emphasis on proteomics, the use of endometrial aspiration biopsy, iron metabolism, vitamin D-binding protein, extracellular matrix signaling pathways, epithelial−mesenchymal transformation, and other molecular pathways, together with a critical analysis of studies cited in the recent ESHRE guidelines.
Exploring the plot patterns of the retail landscape: The case of the Helsinki Metropolitan area
Authors: Efeoglu Hulusi Eren , Joutsiniemi Anssi , Mozuriunaite Skirmante
Published: November 2023

This study examines the impact of the morphological characteristics of plots in the Helsinki Metropolitan Area (HMA) on the retail landscape, with a focus on understanding the ways in which the morphological characteristics potentially influence the distribution, agglomeration and diversity of retail businesses. Although frequently underestimated in contemporary placemaking practices, this research emphasizes the role of the dual nature of plots as an element of urban form and an element of control over the retail landscape of the city. In this sense, the role of the morphological characteristics of plots in shaping the retail landscape of the city was investigated. The compositional (size, frontage ratio) and configurational (integration, betweenness, frequency) features of the plot in the HMA ( n = 77,736) were measured. Thereafter an unsupervised two-step clustering method was applied to reveal the subtle morphological regions through plot patterns. Computational plot characterization with open data sets yielded six plot types having different morphological characteristics and geographic distribution patterns. The spatial capacities of each plot type for retail distribution, agglomeration and diversity were then analysed and compared. This research argues that the interrelationship of the dual nature of plot plays an important role in placemaking processes. The results suggest that the spatial capacity of plots to accommodate street-based retail clusters is improved with spatially integrated, fine-grained urban fabric with independent micro-businesses involving a diversity of uses and actors. The study argues that these spatial conditions might also increase retail resilience and contribute to the vitality and viability of the retail landscape.
Tips for Making Music Performances Sensory-Friendly and Inclusive
Authors: Reynolds Julia Heath , VanWeelden Kimberly
Published: November 2023

In today’s society, major arts organizations and other large-scale public venues are making additional accommodations for persons with disabilities beyond those under Americans with Disabilities Act (ADA). Often termed “sensory-friendly,” this approach makes it easier for individuals with sensory sensitivities to participate in social activities and community events. However, we rarely see similar efforts occurring in school-based music performances. Therefore, we set out to create an inclusive concert experience that welcomes all persons to attend regardless of their sensory, mobility, or other needs to benefit everyone—the students, the families, the school, and the community. During our journey, we realized several components were essential to the overall success of our concerts. In this article, we share five tips that may help you feel more confident implementing something similar in your school.
Vegetation restoration in South China’s karst region under geological background constraint: Forest or non-forest
Authors: Yue Yuemin , Wang Lu , Qi Xiangkun , Wang Kelin
Published: November 2023

Over the past two decades, the karst region in southern China has emerged as a critical area for ecological conservation and restoration, attracting global attention for its efforts in ‘greening.’ However, particular areas face challenges transitioning into forests due to the carbonate bedrock constraint, which likely undermines sustainability of greening efforts in karst regions. This study overviews the significant achievements in vegetation restoration in the karst region of southwest China, emphasizing the potential of short-term ecological restoration in effectively sequestering carbon, a valuable approach to achieving carbon neutrality in the region. However, combating rocky desertification remains difficult due to geological limitations that hinder large-scale afforestation. Additionally, variations in soil and rock composition impact the success and quality of vegetation restoration, leading to some areas failing to establish forests. Therefore, establishing the goals for rocky desertification control in different regions (enhancement, degradation, or reduction) should be based on current conditions and the evolutionary characteristics of rocky desertification. To facilitate precise afforestation and grass planting in the karst region, factors such as climate, rock conditions, and human-environment relationships should be considered in regional divisions, including natural restoration zones, artificial afforestation zones, grass planting zones, and protected zones.
A clinical trial of therapeutic vaccination in lymphoma with serial tumor sampling and single-cell analysis
Authors: Shree Tanaya , Haebe Sarah , Czerwinski Debra K. , Eckhert Erik , Day Grady , Sathe Anuja , Grimes Susan , Frank Matthew J. , Maeda Lauren S. , Alizadeh Ash A. , Advani Ranjana , Hoppe Richard T. , Long Steven R. , Martin Brock , Ozawa Michael G. , Khodadoust Michael S. , Ji Hanlee P. , Levy Ronald
Published: November 2023

In situ vaccination (ISV) triggers an immune response to tumor-associated antigens at 1 tumor site, which can then tackle the disease throughout the body. Here, we report clinical and biological results of a phase 1/2 ISV trial in patients with low-grade lymphoma, combining an intratumoral toll-like receptor 9 (TLR9) agonist with local low-dose radiation and ibrutinib (an inhibitor of B- and T-cell kinases). Adverse events were predominately low grade. The overall response rate was 50%, including 1 complete response. All patients experienced tumor reduction at distant sites. Single-cell analyses of serial fine needle aspirates from injected and uninjected tumors revealed correlates of clinical response, such as lower CD47 and higher major histocompatibility complex class II expression on tumor cells, enhanced T-cell and natural killer cell effector function, and reduced immune suppression from transforming growth factor β and inhibitory T regulatory 1 cells. Although changes at the local injected site were more pronounced, changes at distant uninjected sites were more often associated with clinical responses. Functional immune response assays and tracking of T-cell receptor sequences provided evidence of treatment-induced tumor-specific T-cell responses. Induction of immune effectors and reversal of negative regulators were both important in producing clinically meaningful tumor responses. The trial was registered at www.clinicaltrials.gov as #NCT02927964.
Pre- and post-headache phases of migraine: multi-country results from the CaMEO – International Study
Authors: Lipton Richard B. , Lanteri-Minet Michel , Leroux Elizabeth , Manack Adams Aubrey , Contreras-De Lama Janette , Reed Michael L. , Fanning Kristina M. , Buse Dawn C.
Published: November 2023

Background

Individuals with migraine frequently experience pre- and post-headache symptoms. This analysis aimed to characterize the relative frequency and burden of pre- and post-headache symptoms in people with migraine using data collected through the Chronic Migraine Epidemiology and Outcomes – International Study.

Methods

This cross-sectional, observational, web-based survey was conducted in 2021–2022 in Canada, France, Germany, Japan, the United Kingdom, and the United States. Respondents who met modified International Classification of Headache Disorders, 3rd edition, criteria were offered the opportunity to participate. Information collected included migraine-related disability, depression/anxiety symptoms, cutaneous allodynia, activity limitations, and acute treatment optimization. Respondents indicated how often they had pre- or post-headache symptoms using a 5-point scale, ranging from 0 to 4, with a rating of 2 or higher classified as a pre- or post-headache symptom case. Modeling was used to examine relationships with monthly headache days (MHDs) and activity limitations during pre-headache and post-headache phases.

Results

Among a total of 14,492 respondents, pre-headache symptoms were reported by 66.9%, while post-headache symptoms were reported by 60.2%. Both pre-headache and post-headache symptoms were reported by 49.5% of respondents, only pre-headache by 17.4%, only post-headache by 10.7%, and neither pre- nor post-headache symptoms by 22.4%. Compared with respondents who experienced only pre- or post-headache symptoms, respondents who experienced both pre- and post-headache symptoms had the highest rates of 4–7, 8–14, and ≥ 15 monthly headache days (23.1%, 14.1%, and 10.9%, respectively). Of respondents with both pre- and post-headache symptoms, 58.5% reported moderate-to-severe disability, 47.7% reported clinically significant symptoms of depression, 49.0% reported clinically significant symptoms of anxiety, and 63.8% reported cutaneous allodynia with headache (ASC-12). Moderate-to-severe activity limitations were reported during the pre-headache (29.5%) and post-headache phases (27.2%). For all outcomes modeled, after controlling for covariates, having pre-headache symptoms, post-headache symptoms, or both were associated with worse outcomes than having neither.

Conclusions

Pre- and post-headache phases of migraine are common, carry unrecognized burden, and may be a target for treatment.

Graphical Abstract
Carbon monoxide intoxication with a CO-Hb of 30% while smoking waterpipe: a case report
Authors: Mohsen Ghaith , Kemmerer Michael , Eichhorn Lars
Published: November 2023

Carbon monoxide (CO) poisoning is a significant public health issue and a considerable economic burden in developed countries. While the majority of non-fire-related CO poisonings are attributed to gas heating, there are several other less recognized sources that should be considered in the initial differential diagnosis.

The patient in this case was a 21-year-old who experienced a brief episode of loss of consciousness and was subsequently admitted to the Emergency department. Upon evaluation, the patient was diagnosed with CO poisoning, which necessitated hyperbaric oxygen therapy to mitigate the effects of this toxic exposure.

Despite exhibiting harmful symptoms initially, the patient stated in a phone interview two and a half years post-incident that they have not experienced any enduring effects such as cardiac arrhythmia or concentration deficits. While their understanding of the risks associated with waterpipe smoking has increased, it has not influenced any major changes in their waterpipe smoking habits.
Fast alignment of mass spectra in large proteomics datasets, capturing dissimilarities arising from multiple complex modifications of peptides
Authors: Prunier Grégoire , Cherkaoui Mehdi , Lysiak Albane , Langella Olivier , Blein-Nicolas Mélisande , Lollier Virginie , Benoist Emile , Jean Géraldine , Fertin Guillaume , Rogniaux Hélène , Tessier Dominique
Published: November 2023

Background

In proteomics, the interpretation of mass spectra representing peptides carrying multiple complex modifications remains challenging, as it is difficult to strike a balance between reasonable execution time, a limited number of false positives, and a huge search space allowing any number of modifications without a priori. The scientific community needs new developments in this area to aid in the discovery of novel post-translational modifications that may play important roles in disease.

Results

To make progress on this issue, we implemented SpecGlobX (SpecGlob eXTended to eXperimental spectra), a standalone Java application that quickly determines the best spectral alignments of a (possibly very large) list of Peptide-to-Spectrum Matches (PSMs) provided by any open modification search method, or generated by the user. As input, SpecGlobX reads a file containing spectra in MGF or mzML format and a semicolon-delimited spreadsheet describing the PSMs. SpecGlobX returns the best alignment for each PSM as output, splitting the mass difference between the spectrum and the peptide into one or more shifts while considering the possibility of non-aligned masses (a phenomenon resulting from many situations including neutral losses). SpecGlobX is fast, able to align one million PSMs in about 1.5 min on a standard desktop. Firstly, we remind the foundations of the algorithm and detail how we adapted SpecGlob (the method we previously developed following the same aim, but limited to the interpretation of perfect simulated spectra) to the interpretation of imperfect experimental spectra. Then, we highlight the interest of SpecGlobX as a complementary tool downstream to three open modification search methods on a large simulated spectra dataset. Finally, we ran SpecGlobX on a proteome-wide dataset downloaded from PRIDE to demonstrate that SpecGlobX functions just as well on simulated and experimental spectra. We then carefully analyzed a limited set of interpretations.

Conclusions

SpecGlobX is helpful as a decision support tool, providing keys to interpret peptides carrying complex modifications still poorly considered by current open modification search software. Better alignment of PSMs enhances confidence in the identification of spectra provided by open modification search methods and should improve the interpretation rate of spectra.
Hybrid deep learning approach to improve classification of low-volume high-dimensional data
Authors: Mavaie Pegah , Holder Lawrence , Skinner Michael K.
Published: November 2023

Background

The performance of machine learning classification methods relies heavily on the choice of features. In many domains, feature generation can be labor-intensive and require domain knowledge, and feature selection methods do not scale well in high-dimensional datasets. Deep learning has shown success in feature generation but requires large datasets to achieve high classification accuracy. Biology domains typically exhibit these challenges with numerous handcrafted features (high-dimensional) and small amounts of training data (low volume).

Method

A hybrid learning approach is proposed that first trains a deep network on the training data, extracts features from the deep network, and then uses these features to re-express the data for input to a non-deep learning method, which is trained to perform the final classification.

Results

The approach is systematically evaluated to determine the best layer of the deep learning network from which to extract features and the threshold on training data volume that prefers this approach. Results from several domains show that this hybrid approach outperforms standalone deep and non-deep learning methods, especially on low-volume, high-dimensional datasets. The diverse collection of datasets further supports the robustness of the approach across different domains.

Conclusions

The hybrid approach combines the strengths of deep and non-deep learning paradigms to achieve high performance on high-dimensional, low volume learning tasks that are typical in biology domains.
Genome-wide identification and molecular expression profile analysis of FHY3/FAR1 gene family in walnut (Juglans sigillata L.) development
Authors: Chen Shengqun , Chen Yingfu , Liang Mei , Qu Shuang , Shen Lianwen , Zeng Yajun , Hou Na
Published: November 2023

Background

Juglans sigillata L. (walnut) has a high economic value for nuts and wood and has been widely grown and eaten around the world. Light plays an important role in regulating the development of the walnut embryo and promoting nucleolus enlargement, which is one of the factors affecting the yield and quality of walnut. However, little is known about the effect of light on the growth and quality of walnuts. Studies have shown that far red prolonged hypocotyl 3 (FHY3) and far red damaged response (FAR1) play important roles in plant growth, light response, and resistance. Therefore, FHY3/FAR1 genes were identified in walnuts on a genome-wide basis during their growth and development to reveal the potential regulation mechanisms involved in walnut kernel growth and development.

Results

In the present study, a total of 61 FHY3/FAR1 gene family members in walnuts have been identified, ranging in length from 117 aa to 895 aa. These gene family members have FHY3 or FAR1 conserved domains, which are unevenly distributed on the 15 chromosomes (Chr) of the walnut (except for the Chr16). All 61 FHY3/FAR1 genes were divided into five subclasses (I, II, III, IV, and V) by phylogenetic tree analysis. The results indicated that FHY3/FAR1 genes in the same subclasses with similar structures might be involved in regulating the growth and development of walnut. The gene expression profiles were analyzed in different walnut kernel varieties (Q, T, and F). The result showed that some FHY3/FAR1 genes might be involved in the regulation of walnut kernel ripening and seed coat color formation. Seven genes (OF07056-RA, OF09665-RA, OF24282-RA, OF26012-RA, OF28029-RA, OF28030-RA, and OF08124-RA) were predicted to be associated with flavonoid biosynthetic gene regulation cis-acting elements in promoter sequences. RT-PCR was used to verify the expression levels of candidate genes during the development and color change of walnut kernels. In addition, light responsiveness and MeJA responsiveness are important promoter regulatory elements in the FHY3/FAR1 gene family, which are potentially involved in the light response, growth, and development of walnut plants.

Conclusion

The results of this study provide a valuable reference for supplementing the genomic sequencing results of walnut, and pave the way for further research on the FHY3/FAR1 gene function of walnut.
Development and validation of a predictive models for predicting the cardiac events within one year for patients underwent percutaneous coronary intervention procedure at IJN
Authors: Ngew Kok Yew , Tay Hao Zhe , Yusof Ahmad K. M.
Published: November 2023

Purpose

Percutaneous coronary intervention (PCI) is a common treatment modality for coronary artery disease. Accurate prediction of patients at risk for complications and hospital readmission after PCI could improve the overall clinical management. We aimed to develop and validate predictive models to predict any cardiac event within a year post PCI procedure.

Methods

This is a retrospective cohort study utilizing data from the National Cardiovascular Disease (NCVD)-PCI registry. The data collected (N = 28,007) were split into training set (n = 24,409) and testing set (n = 3598). Four predictive models (logistic regression [LR], random forest method, support vector machine [SVM], and artificial neural network) were developed and validated. The outcome on risk prediction were compared.

Results

The demographic and clinical features of patients in the training and testing cohorts were similar. Patients had mean age ± standard deviation of 58.15 ± 10.13 years at admission with a male majority (82.66%). In over half of the procedures (50.61%), patients had chronic stable angina. Within 1 year of follow up mortality, target vessel revascularization (TVR), and composite event of mortality and TVR were 3.92%, 9.48%, and 12.98% respectively. LR was the best model in predicting mortality event within 1-year post-PCI (AUC: 0.820). SVM had the highest discrimination power for both TVR event (AUC: 0.720) and composite event of mortality and TVR (AUC: 0.720).

Conclusions

This study successfully identified optimal prediction models with the good discriminatory ability for mortality outcome and good discrimination ability for TVR and composite event of mortality and TVR with a simple machine learning framework.
Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences
Authors: Yang Bao , Ma Kanghua , Xiang Rui , Yang Guoli , Luo Yue , Wu Fan , Mao Min
Published: November 2023

Background and aims

Recent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery disease.

Methods

A total of 860 patients with suspected coronary heart disease who were admitted to hospital due to angina pectoris or myocardial ischemia related symptoms and received coronary angiography were selected. Based on the findings of the angiography, they were categorized into two groups: the coronary heart disease (CHD) group (n = 625) and the control group (n = 235). The uric acid levels and other clinical data were compared between these groups. Additionally, the prevalence of coronary heart disease and Gensini score were compared between the groups, considering gender-specific quartiles of uric acid levels. The clinical baseline data were analyzed using appropriate statistical methods, and multivariate logistic regression analysis was conducted to identify independent risk factors for coronary heart disease.

Results

Of 860 patients (mean age, 63.97 ± 11.87 years), 528 were men (mean age, 62.06 ± 11.5 years) and 332 were women (mean age, 66.99 ± 10.11 years). The proportion of smoking, diabetes, hypertension, and hyperlipidemia in the coronary heart disease group was higher than that in the control group (P < 0.05). HbA1C, Gensini score, BMI, TG and hsCRP in the coronary heart disease group were higher than those in the control group (P < 0.05), and HDL-C was lower than that in the control group (P < 0.05). There were no significant differences in age, heart rate, Cr, TC and LDL-C between the two groups (P > 0.05).Multivariate logistic regression analysis showed that age, hypertension, hsCRP and SUA levels increased the risk of coronary heart disease, and the difference was statistically significant(OR = 1.034,95%CI 1.016–1.052, P = 0.001; OR = 1.469,95%CI 1.007–2.142, P = 0.046;OR = 1.064,95%CI 1.026–1.105, P = 0.001; OR = 1.011,95%CI 1.008–1.014, P < 0.001).

Conclusion

Serum uric acid is positively correlated with Gensini score in patients with coronary heart disease, which is an independent factor for evaluating the degree of coronary artery stenosis and has a predictive effect.
The notable relatedness between ESBL producing Enterobacteriaceae isolated from clinical samples and asymptomatic fecal carriers
Authors: Aghamohammad Shadi , Shahcheraghi Fereshteh
Published: November 2023

Background

The investigation of the presence of extended-spectrum beta-lactamase (ESBL) within Enterobacteriaceae in both fecal carriers and patients is an essential matter. Furthermore, the assessment of distinct characteristics exhibited by resistant bacteria obtained from fecal carriers and patients, as well as the comparison of these characteristics between the two groups, could provide a deeper understanding of how the resistant isolates can remain concealed within a dormant reservoir and intensify antimicrobial resistance. The aim of the present study was to concentrate on the comparison of the antimicrobial resistance pattern and molecular features between strains obtained from clinical and carrier sources.

Material and methods

A total of 142 clinical samples and 120 rectal swabs were collected from June to October 2016. ESBL screening was performed using the double-disk synergy test. PCR was done for the detection of ESBL genes. Assessment of biofilm formation, virulence factor genes, and MLVA was performed for K. pneumonae isolates. Phylogroup typing was performed for E. coli isolates.

Results

Of 146 samples, 67.6% were E. coli, and 32.4% were K. pneumoniae. The rate of blaCTXM-15 was 89.4%. In K. pneumoniae type D, ompk35 and fimH were the highest. All the K. pneumoniae isolates were classified into 12 mini clusters and the clinical isolates were characterized into 7 mini clusters. The phylogroup B2 in ESBL-EC was the highest (56.2%).

Discussion

Comparison of molecular characteristics and clonal relatedness between fecal carriers and patients showed noticeable relatedness and similarity which may indicate that ESBL-KP can be colonized with the same profiles in different settings and, therefore, may be widely distributed in both community and hospital settings. Therefore, implementation of control protocols, including surveillance of the fecal carriers, could impressively reduce silent reservoirs without clinical symptoms as well as patient rates.
Diabetes mellitus and latent tuberculosis infection: an updated meta-analysis and systematic review
Authors: Zhou Guozhong , Guo Xin , Cai Shunli , Zhang Yu , Zhou Yuanyuan , Long Rong , Zhou Yingchen , Li Hanse , Chen Nan , Song Chao
Published: November 2023

Background

Previous studies have demonstrated an association between diabetes mellitus (DM) and latent tuberculosis infection (LTBI). This study was conducted to update the current understanding of the association between DM and LTBI. By conducting a systematic review and meta-analysis using adjusted odds ratios (aOR) or risk ratios (aRR), we aimed to further explore the association between DM and LTBI and provide essential reference for future research.

Methods

We conducted comprehensive searches in Embase, Cochrane Library, and PubMed without imposing any start date or language restrictions, up to July 19, 2022. Our study selection encompassed observational research that compared from LTBI positive rates in both DM and non-DM groups and reported aRR or aOR results. The quality of the included studies was assessed utilizing the Newcastle–Ottawa Scale. Pooled effect estimates were calculated using random-effects models, along with their associated 95% confidence intervals (CI).

Results

We included 22 studies involving 68,256 subjects. Three cohort studies were eligible, with a pooled aRR of 1.26 (95% CI: 0.71–2.23). Nineteen cross-sectional studies were eligible, with a pooled aOR of 1.21 (95% CI: 1.14–1.29). The crude RR (cRR) pooled estimate for three cohort studies was 1.62 (95% CI: 1.03–2.57). Among the cross-sectional studies we included, sixteen studies provided crude ORs, and the crude OR (cOR) pooled estimate was 1.64 (95% CI: 1.36–1.97). In the diagnosis of diabetes, the pooled aOR of the HbA1c group was higher than that of self-reported group (pooled aOR: 1.56, 95% CI: 1.24–1.96 vs. 1.17, 95% CI: 1.06–1.28).

Conclusion

Our systematic review and meta-analysis suggest a positive association between DM and LTBI. Individuals with DM may have a higher risk of LTBI compared to those without DM. These findings provide important insights for future research and public health interventions in managing LTBI in diabetic populations.
Association between SARS-CoV-2 variants and post COVID-19 condition: findings from a longitudinal cohort study in the Belgian adult population
Authors: Thi Khanh Huyen Nguyen , Cornelissen Laura , Castanares-Zapatero Diego , De Pauw Robby , Van Cauteren Dieter , Demarest Stefaan , Drieskens Sabine , Devleesschauwer Brecht , De Ridder Karin , Charafeddine Rana , Smith Pierre
Published: November 2023

Background

While many studies on the determinants of post-COVID-19 conditions (PCC) have been conducted, little is known about the relationship between SARS-CoV-2 variants and PCC. This study aimed to assess the association between different SARS-CoV-2 variants and the probability of having PCC three months after the infection.

Methods

This study was a longitudinal cohort study conducted between April 2021 and September 2022 in Belgium. In total, 8,238 adults with a confirmed SARS-CoV-2 infection were followed up between the time of their infection and three months later. The primary outcomes were the PCC status three months post infection and seven PCC symptoms categories (neurocognitive, autonomic, gastrointestinal, respiratory, musculoskeletal, anosmia and/or dysgeusia, and other manifestations). The main exposure variable was the type of SARS-CoV-2 variants (i.e. Alpha, Delta, and Omicron), extracted from national surveillance data. The association between the different SARS-CoV-2 variants and PCC as well as PCC symptoms categories was assessed using multivariable logistic regression.

Results

The proportion of PCC among participants infected during the Alpha, Delta, and Omicron-dominant periods was significantly different and respectively 50%, 50%, and 37%. Participants infected during the Alpha- and Delta-dominant periods had a significantly higher odds of having PCC than those infected during the Omicron-dominant period (OR = 1.61, 95% confidence interval [CI] = 1.33–1.96 and OR = 1.73, 95%CI = 1.54–1.93, respectively). Participants infected during the Alpha and Delta-dominant periods were more likely to report neurocognitive, respiratory, and anosmia/dysgeusia symptoms of PCC.

Conclusions

People infected during the Alpha- and Delta-dominant periods had a higher probability of having PCC three months after infection than those infected during the Omicron-dominant period. The lower probability of PCC with the Omicron variant must also be interpreted in absolute figures. Indeed, the number of infections with the Omicron variant being higher than with the Alpha and Delta variants, it is possible that the overall prevalence of PCC in the population increases, even if the probability of having a PCC decreases.
Carotid free-floating thrombus stemming from carotid web: co-occurrence of two rare causes of ischemic stroke
Authors: De Lorenzo Alberto , Lazzarin Serena Marita , Bertini Alessandro , Divenuto Ignazio , Marcheselli Simona , Pensato Umberto
Published: November 2023

Background

Carotid web (CaW) and carotid free-floating thrombus (CFFT) are rare yet critical causes of ischemic stroke in young adults.

Case presentation

A 54-year-old woman presented with a fluctuating right sensory-motor faciobrachial syndrome. A brain MRI scan revealed multiple small recent asynchronous cortico-subcortical ischemic foci in the vascular territory of the left internal carotid artery. A CT angiography identified a CFFT in the left internal carotid artery arising from an underlying CaW. The patient was treated with excellent clinical outcomes with carotid artery stenting and dual antiplatelet therapy.

Conclusions

We provide a structured pathophysiological rationale connecting CaW and CFFT and highlight pivotal therapeutic implications. Further studies are needed to investigate this relationship and guide assessment and treatment.
Clinical characteristics and therapeutic response of differentiated thyroid carcinoma with obesity and diabetes
Authors: Wang Xuan , Yu Yang , Ji Yanhui , Ma Ziyu , Tan Jian , Jia Qiang , Li Ning , Zheng Wei
Published: November 2023

Background

The effects of obesity and diabetes on the clinical outcomes of differentiated thyroid cancer (DTC) remain unclear.

Objectives

To explore the association between obesity and diabetes with pathological features and therapeutic response of DTC.

Methods

Patients were categorized based on body mass index (BMI) and glycemic status. Compare the correlation between BMI and glycemic status with pathological features and therapeutic response of DTC. To analyze the independent risk factors for the aggressiveness of DTC.

Results

The proportion of patients with bilateral tumors was higher in the overweight, obese and diabetes group (P = 0.001, 0.045). The overweight group demonstrated a higher TNM stage (P = 0.004), while the T and TNM stages were higher in the diabetes group (P = 0.032, 0.000). The probability of distant metastasis increases by 37.4% for each unit of BMI increase (odds ratio (OR) = 1.374, CI 95% 1.061–1.778, P < 0.05). The BMI of Biochemical Incomplete Response (BIR) is significantly higher than that of Excellent Response (ER) (P = 0.015), the fasting plasma glucose (FPG) of Structural Incomplete (SIR) was significantly higher than that of ER and BIR (P = 0.030, 0.014).

Conclusion

Obesity and diabetes have effect on DTC aggressiveness. BMI and FPG have correlation with the therapeutic response of DTC patients.
Understanding suicidal transitions in Australian adults: protocol for the LifeTrack prospective longitudinal cohort study
Authors: Batterham Philip J , Gendi Monica , Christensen Helen , Calear Alison L. , Shand Fiona , Sunderland Matthew , Borschmann Rohan , Banfield Michelle , O’Dea Bridianne , Larsen Mark , Heffernan Cassandra , Kazan Dominique , Werner-Seidler Aliza , Mackinnon Andrew J , Hielscher Emily , Han Jin , Boydell Katherine M , Leach Liana , Farrer Louise M
Published: November 2023

Background

The factors that influence transition from suicidal ideation to a suicide attempt or remission of suicidal thoughts are poorly understood. Despite an abundance of research on risk factors for suicidal ideation, no large-scale longitudinal population-based studies have specifically recruited people with suicidal ideation to examine the mechanisms underlying critical transitions to either suicide attempt or recovery from suicidal ideation. Without longitudinal data on the psychological, behavioural, and social determinants of suicide attempt and the remission of suicidal ideation, we are unlikely to see major gains in the prevention of suicide.

Aim

The LifeTrack Project is a population-based longitudinal cohort study that aims to identify key modifiable risk and protective factors that predict the transition from suicidal ideation to suicide attempt or remission of suicidal ideation. We will assess theory-informed risk and protective factors using validated and efficient measures to identify distinct trajectories reflecting changes in severity of suicidal ideation and transition to suicide attempt over three years.

Methods

A three-year prospective population-based longitudinal cohort study will be conducted with adults from the general Australian population who initially report suicidal ideation (n = 842). Eligibility criteria include recent suicidal ideation (past 30 days), aged 18 years or older, living in Australia and fluent in English. Those with a suicide attempt in past 30 days or who are unable to participate in a long-term study will be excluded. Participants will be asked to complete online assessments related to psychopathology, cognition, psychological factors, social factors, mental health treatment use, and environmental exposures at baseline and every six months during this three-year period. One week of daily measurement bursts (ecological momentary assessments) at yearly intervals will also capture short-term fluctuations in suicidal ideation, perceived burdensomeness, thwarted belongingness, capability for suicide, and distress.

Conclusion

This study is intended to identify potential targets for novel and tailored therapies for people experiencing suicidal ideation and improve targeting of suicide prevention programs. Even modest improvements in current treatments may lead to important reductions in suicide attempts and deaths.

Study Registration

Australian New Zealand Clinical Trials Registry identifier: ACTRN12623000433606.
Associations of sleep quality and exercise frequency and the risk of coronary heart disease in Chinese urban elderly: a secondary analysis of cross-sectional data
Authors: Lin Jiujing , Yao Huichen , Li Jia , Tian Shoufeng , Li Xiaoliang , Hou Qingzhi
Published: November 2023

Background

Sleep quality and exercise frequency are closely associated with coronary heart disease (CHD). Few studies focused on the joint effect of initiating sleep, sleep disorders, and exercise frequency on the risk of CHD in the elderly. We used a secondary data analysis based on Boshan Elderly cross-sectional study. We explored the sleep quality, exercise frequency, and their joint effects on the risk of CHD.

Methods

We collected 678 participants whose age ≥ 60 years old from Boshan District Hospital. We used the Pittsburgh Sleep Quality Index to evaluate the sleep quality and obtained physical examination information from the hospital.

Results

Compared with the non-CHD group, patients with CHD spent more time in initiating sleep (time ≥ 60 min, 34.59% vs. 22.93%, P = 0.025) and less time exercising (exercise frequency < 1 times/week, 23.90% vs. 17.15%, P = 0.024). In multiple logistic regression analysis, sleep latency ≥ 60 min was associated with CHD risk (adjusted OR = 1.83; 95% CI: 1.11, 2.99; P-trend = 0.008). The adjusted OR (95% CI) of CHD was 2.24 (1.16, 4.34) for sleep duration < 5 h versus 5–9 h. Compared with exercise frequency < 1 times/week, the adjusted OR for exercise frequency ≥ 1 times/week was 0.46 (95% CI: 0.26, 0.83; P = 0.010). In addition, the joint effects of long sleep latency (≥ 60 min) and sleep disorders were associated with CHD (adjusted OR = 3.36; 95% CI: 1.41, 8.02). The joint effect of exercise frequency ≥ 1 times/week and sleep onset latency within normal limits (< 30 min) was also associated with CHD, and the adjusted OR (95% CI) was 0.42 (0.21, 0.87).

Conclusions

Long sleep latency, high frequency of initiating sleep difficulty, sleep disorders, and short sleep duration were positively associated with CHD. In addition, the joint effects of long sleep latency and sleep disorders were positively correlated with CHD incidence. However, the joint effects of exercise frequency ≥ 1 times/week and normal sleep onset latency were negatively associated CHD.