bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Optical Coherence Tomography Angiography Findings of Fibromyalgia
Authors: Gezginaslan Tuğba Aydoğan , Limon Utku , Kaleoğlu Özlem , Saygın Işılay Özsoy , Bozkurt Erdinç , Akçay Betül İlkay Sezgin 
Published: October 2023

Abstract

Purpose: To execute comprehensive study about optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) findings in fibromyalgia (FM) to elaborate macula, optic disk changes.
Methods: A total of 84 participants comprising 44 FM patients and 40 healthy controls were included. Macular full thickness, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL) +, GCL++, superficial vessel density (SVD), deep vessel density (DVD), foveal avascular zone (FAZ), circumpapillary vessel density (cpVD), RNFL measurements were evaluated using OCT/OCTA. Each FM patient completed Fibromyalgia Impact Questionnaire (FIQ), Short Form-36 (SF-36), Widespread Pain Index (WPI), Symptom Severity Scale (SSS). OCT/OCTA parameters were compared between controls and FM patients. Correlation between FIQ, SF-36, WPI, SSS and OCT/OCTA were evaluated. Logistic regression analysis were performed to analyze associated parameters.
Results: Macular full thickness parafoveal nasal, temporal, superior, inferior, perifoveal temporal, superior, GCL+ parafoveal nasal, temporal, superior, inferior, GCL+ perifoveal temporal, GCL++ parafoveal nasal, temporal, superior, inferior, GCL++ perifoveal nasal were lower in FM patients. Difference was not found in SVD, DVD or FAZ measurements. cpVD in nasal, superior, inferior were higher in FM patients. RNFL temporal was lower in FM patients. Weak correlations were observed between FIQ, SF-36, WPI, SSS scores and OCT/OCTA parameters. Superior cpVD was associated with FM due to logistic regression analysis.
Conclusions: OCT/OCTA can provide objective supplementary measurements in the assessment of FM. Changes in measurements like RNFL, macula GCL, cpVD may be evaluated as a diagnostic criteria or used to understand the peripheral effects of FM.
A non-invasive glucose sensor based on 3D graphene oxide-MXene composite electrode for the detection of saliva glucose
Authors: Shang Ling-Jun , Yu Shuai-Qun , Shang Xin-Wei , Wei Xiang-Yu , Wang Hui-Ying , Jiang Wen-Shuai , Ren Qiong-Qiong 
Published: October 2023

Abstract
Regular monitoring of blood glucose levels is crucial in diabetes management. Commonly used procedures may be invasive and can lead to cross-infection and inflammation. Therefore, a safe, non-invasive blood glucose-monitoring technology is needed. Herein, a 3D reduced graphene oxide (rGO) electrode was modified with MXene (Ti3C2) and gold nanoparticles (AuNPs) to construct a non-invasive, saliva glucose detection electrode. The Au/rGO-Ti3C2 electrode exhibited good detection performance for glucose concentrations in the range of 10 µM–21 mM at a working potential of 0.6 V, with a detection limit of 3.1 µM glucose, and a sensitivity of 355 µA mM− 1 cm− 2. The Au/rGO-Ti3C2 electrode showed almost no response to the addition of interfering substances, and no effect was observed upon subsequent glucose detection. The sensor could detect glucose in artificial saliva and saliva supernatant. The modified electrode showed a significant response to low glucose concentrations, even at 10 µM. These results indicate the suitability of the Au/rGO-Ti3C2 electrode for saliva glucose detection. The electrode developed in this study has great potential in improving the efficiency of diabetes monitoring through pain-free, non-invasive glucose detection in saliva.
A systematic Adaptive Mesh Refinement method for Large Eddy Simulation of turbulent flame propagation
Authors: Vanbersel Benjamin , Ramirez Francis Adrian Meziat , Mohanamuraly Pavanakumar , Staffelbach Gabriel , Jaravel Thomas , Douasbin Quentin , Dounia Omar , Vermorel Olivier 
Published: October 2023

Abstract
This paper presents a feature-based Adaptive Mesh Refinement (AMR) method for Large Eddy Simulation of propagating deflagrations, using massive-scale parallel unstructured AMR libraries. The proposed method, named Turbulent Flame Propagation-AMR (TFP-AMR), is able to track the transient dynamics of both the turbulent flame and the vortical structures in the flow. To handle the interaction of the turbulent flame brush with the vortical structures of the flow, a vortex selection criterion is derived from flame/vortex interaction theory. The method is built with the general intent to prioritise conservatively estimated parameters, rather than to rely on user-dependent parameters. In particular, a specific mesh adaptation triggering strategy is constructed, adapted to the strongly transient physics found in deflagrations, to guarantee that the quantities of interest consistently reside within a region of high accuracy throughout the transient process. The methodology is applied and validated on several elementary cases representing fundamental bricks of the full problem: (1) a laminar flame propagation, (2) the advection of a pair of non-reacting vortices, (3) a flame/vortex interaction. The method is then applied to three different configurations of a three-dimensional complex explosion scenario in an obstructed chamber. All cases demonstrate the TFP-AMR capability to recover accurate results at reduced computational cost without requiring any ad hoc tuning of the AMR method or its parameters, thus demonstrating its genericity and robustness.
Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition with Increasing Inland Water Residence Time
Authors: Grasset Charlotte , Einarsdóttir Karólína , Catalán Núria , Tranvik Lars J. , Groeneveld Marloes , Hawkes Jeffrey , Attermeyer Katrin 
Published: October 2023

Abstract
Photochemical degradation of dissolved organic matter (DOM) has been the subject of numerous studies, however, its regulation along the inland water continuum is still unclear. We aimed to unravel the DOM photoreactivity and concurrent DOM compositional changes across 30 boreal aquatic ecosystems including peat waters, streams, rivers, and lakes distributed along a water retention time (WRT) gradient. Samples were subject to a standardized exposure of simulated sunlight. We measured the apparent quantum yield (AQY), which corresponds to DOM photomineralization per photon absorbed, and the compositional change in DOM at bulk and individual compound levels in the original samples and after irradiation. AQY increased with the abundance of terrestrially-derived DOM and decreased at higher WRT. Additionally, the photochemical change in both DOM optical properties and molecular composition resembled changes along the natural boreal WRT gradient at low WRT (< 3 yr). Accordingly, mass spectrometry revealed that the abundance of photolabile and photoproduced molecules decreased with WRT along the boreal aquatic continuum. Our study highlights the tight link between DOM composition and DOM photodegradation. We suggest that photodegradation is an important driver of DOM composition change in waters with low WRT, where DOM is highly photoreactive.
A historical and critical review of latrine-siting guidelines
Authors: Nenninger Christopher , Cunningham Jeffrey , Mihelcic James R. 
Published: October 2023

Abstract

Latrines are an effective way for people in low- and middle-income countries to move away from open defecation. Guidelines are used to provide a recommended horizontal setback distance from a latrine to a downgradient well to ensure the safety of the well from subsurface contaminants. We collected 107 journal papers, books, and reports to critically review the recommended setback distances and how these recommendations are derived. It was discovered that the four most common guidelines/reviews are all based principally on just four field studies, all of which were conducted over 40 years ago, which casts doubt on a frequently used one-size-fits-all approach. More recent methods for latrine siting use both field data and some sort of modeling component to account for the different site conditions, but these models have not been verified for use outside their respective studies. They are also limited in how they consider the hydraulic connection between the latrine and the well. We recommend that future siting guidelines should focus more on vertical separation, include chemical contamination, and be based on models describing how latrines and wells are hydraulically connected, along with the fate and transport of potentially harmful contaminants.
A hybrid coupling model of groundwater level simulation considering hydrogeological parameter: a case study of Nantong City in Eastern China
Authors: He Liang , Liu Jia , Lei Shaohua , Chen Ling 
Published: October 2023

Abstract

Groundwater level dynamic monitoring data have the characteristics of spatio-temporal non-smoothness and strong spatio-temporal correlation. However, the current groundwater level prediction model is insufficient to consider the spatio-temporal factors of the groundwater level and the autocorrelation of spatio-temporal series, particularly the lack of consideration of hydrogeological conditions in the actual study area. Thus, this study constructed a model based on the hydrogeological conditions and the spatio-temporal characteristics of the dynamic monitoring data of groundwater in the porous confined aquifer III in Nantong, the northern wing of the Yangtze River Delta, China. The spatial autocorrelation coefficient of the hydrogeology important parameter, permeability coefficient K, is used to optimize the distance weighting coefficient of monitoring wells obtained by the K-nearest neighbor (KNN) algorithm and then reconstruct the spatio-temporal dataset and long short-term memory (LSTM) network. A spatio-temporal groundwater level prediction model LSTM-K-KNN that introduces the spatial autocorrelation of hydrogeological parameters was constructed. The reliability and accuracy of LSTM-K-KNN, LSTM, autoregressive integrated moving average (ARIMA) model, and support vector machine (SVM) were evaluated by a cross-validation algorithm. Results showed that the prediction accuracy of LSTM-K-KNN is 19.86, 43.64, and 52.38% higher than that of the other single prediction models (LSTM, ARIMA, and SVM).
Policies, institutions, and regulations: PIRs of a stormwater management system
Authors: Novaes Carlos A. , Marques Rui Cunha 
Published: October 2023

Abstract
Urban services, like stormwater management, are complex tasks that depend on many actors and involve activities that fall within several fields of knowledge, but infrastructure solutions have been known for a long time. Recently, the view that urban water should be treated in an integrated way has become more pronounced, breaking the pathway dependency that treated it in isolation. Since the last decade, the perception that policies, institutions, and regulations (PIRs) condition good results has become more pronounced. The key question lies in incentives capable of mobilizing actors to produce aligned PIRs in a governance system. Better results can come from transformations in the incentives that currently exist for PIRs. The compatibility between incentives, which are not always identical for all involved, aligning them toward results, is the main objective. Based on these premises, aspects related to the necessary ideological change are analyzed here, that is, at the level of ideas and conceptions, which reflect the perception of objective, involving all actors, public and private, attracting them to solve the challenges posed, for example, the delivery of services according to sustainable development goals (SDGs). Examples of this in-progress transformation, a paradigm shift, are presented as support for reflection and experimentation.
Female predicament in the novel the yellow wallpaper
Authors: Yogapriya S. 
Published: October 2023

The study deals with “Female Predicament in The Novel the Yellow Wallpaper”. The Yellow Wallpaper is a semi-autobiographical short story by an American author Charlotte Perkins Gillman. The New England Magazine published the short story in 1892. After suffering a severe case of postpartum psychosis, she wrote this work. Through her work, Gillman reveals the way she was treated by her husband. According to some interpretations, the story is both a critique of patriarchal medicine and an opposition to the rest cure. Her idealistic feminist thinking served as a role model for future generation feminists. The major objective of feminist literature is to determine what kind of voice women have or do not have in a world dominated by men. The study aims to find the predicaments faced by the heroine in The Yellow Wallpaper. The fundamental motive of any work based on literature is to provoke unfathomable sensibilities and thoughts that the readers can associate with their own personal experience. The anonymity of the heroine helps the female reader to identify themselves with her. Charlotte Perkins Gilman reveals the oppression of women and the lack of freedom in The Yellow Wallpaper that highlights the patriarchal society’s restriction on women’s choices and desire. There are number of literary devices like simile, imagery, symbolism and dramatic irony used by Gilman to illustrate the idea of feminism and violated human rights. The heroine deals with discrimination and abandonment that leads to physical and mental collapse. As a result of inside and outside imprisonment, she became insane and herself identity was shattered.
Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study
Authors: Cuff Jordan P , Dighe Shrinivas Nivrutti , Watson Sophie E , Badell-Grau Rafael A , Weightman Andrew J , Jones Davey L , Kille Peter 
Published: October 2023

Background
The COVID-19 pandemic necessitated rapid real-time surveillance of epidemiological data to advise governments and the public, but the accuracy of these data depends on myriad auxiliary assumptions, not least accurate reporting of cases by the public. Wastewater monitoring has emerged internationally as an accurate and objective means for assessing disease prevalence with reduced latency and less dependence on public vigilance, reliability, and engagement. How public interest aligns with COVID-19 personal testing data and wastewater monitoring is, however, very poorly characterized.

Objective
This study aims to assess the associations between internet search volume data relevant to COVID-19, public health care statistics, and national-scale wastewater monitoring of SARS-CoV-2 across South Wales, United Kingdom, over time to investigate how interest in the pandemic may reflect the prevalence of SARS-CoV-2, as detected by national testing and wastewater monitoring, and how these data could be used to predict case numbers.

Methods
Relative search volume data from Google Trends for search terms linked to the COVID-19 pandemic were extracted and compared against government-reported COVID-19 statistics and quantitative reverse transcription polymerase chain reaction (RT-qPCR) SARS-CoV-2 data generated from wastewater in South Wales, United Kingdom, using multivariate linear models, correlation analysis, and predictions from linear models.

Results
Wastewater monitoring, most infoveillance terms, and nationally reported cases significantly correlated, but these relationships changed over time. Wastewater surveillance data and some infoveillance search terms generated predictions of case numbers that correlated with reported case numbers, but the accuracy of these predictions was inconsistent and many of the relationships changed over time.

Conclusions
Wastewater monitoring presents a valuable means for assessing population-level prevalence of SARS-CoV-2 and could be integrated with other data types such as infoveillance for increasingly accurate inference of virus prevalence. The importance of such monitoring is increasingly clear as a means of objectively assessing the prevalence of SARS-CoV-2 to circumvent the dynamic interest and participation of the public. Increased accessibility of wastewater monitoring data to the public, as is the case for other national data, may enhance public engagement with these forms of monitoring.
Correlation between diabetic nephropathy and diabetic retinopathy as a long term complications of diabetes mellitus
Authors: Dervišević Muamer , Rebić Damir , Dervišević Emina 
Published: October 2023

Abstract

Background/aim: Diabetes mellitus is a metabolic disorder of multiple etiologies characterized by a lack of insulin, with a consequent disordered metabolism of glucose, fats, and proteins. A number of complications, such as diabetic nephropathy and retinopathy, may develop as a result of long-term diabetes. The aim of this study aimed to determine the correlation between diabetic nephropathy and diabetic retinopathy as long-term complications of diabetes mellitus.

Materials and methods: Retrospective, descriptive, and analytical research was conducted at the department of Endocrinology, Clinical Center, University of Sarajevo. The study included 158 patients hospitalized in time between 1st of January and 31st of December 2012.

Results: New-onset diabetes was found in 38%, and diabetes type 2 patients 132 (83.5%), female 105 (66.5%) while older than 60 years were 100 (63.3%). Upon discharge from hospital 83,7% of patients were discharged with glycemia <10 mmol / l. We found that 47,5% of patients had HbA1c> 10%. Reduced kidney function, different degrees of failure was at 66.5%. More than half (62.7%) patients had proteinuria as a sign of diabetic nephropathy. Diabetic retinopathy was diagnosed with different types in 54.4%.

Conclusion: Diabetes leads to an increase in nitrogen compounds, and the development of diabetic nephropathy manifests as various degrees of renal insufficiency. The duration of diabetes and occurrence of diabetic retinopathy were significantly interrelated. The correlation between the degree of renal failure and changes in the ocular fundus has not been proven, but more severe renal insufficiency is associated with a higher incidence of diabetic retinopathy compared to patients with less impaired renal function.
Multiorgan morphological changes caused by hyperthermia: Case study on experimental model
Authors: Dervišević Emina , Čamdžić Nina , Kuskunović-Vlahovljak Suada , Dervišević Muamer 
Published: October 2023

Abstract
Morphologic changes in organs vary from nonspecific to specific ones, depending on causes of sudden death, e.i whether it is an acute, subacute or chronic event. The aim of this pilot study was to observe the appearance and occurrence of morphological characteristics on organs that were exposed to long-term effects of hyperthermia. A sample of 7 rats was exposed to a water temperature of 41 °C, which is defined in the literature as “heat stroke temperature”, both sexes, weighing 250 to 300 g were used. Tissue samples, obtained by dissection of rats, were fixed in 10% buffered neutral formalin, at room temperature, then incorporated into paraffin blocks, cut at 4-5 microns, mounted and stained with standard hematoxylin-eosin (HE) method. In order to prove/exclude lipid and glycogen accumulation in hepatocytes we did additional histochemical staining, using Sudan black and Periodic Acid Shiff (PAS) method, respectively. We obtained samples from kidney, liver, pancreas, spleen, lung and brain. Analyzing tissue samples of different organs obtained from seven Wistar rats, we gained insight into morphological changes caused by induced hyperthermia. All sampled organs showed congestion and some degree of oedema. The most prominent changes were observed in liver and lung samples. Tissue samples of the lung of all seven rats showed signs of acute bronchitis and bronchiolitis, together with signs of initial bronchopneumonia. We also noticed signs of focal acute emphysema as well as focal accumulations of foamy macrophages. Our study suggests that changes in the vascular bed occur soon after hyperthermia and while some organs are more tolerant to heat stroke than others, most organs show similar changes consisting of capillary dilation, congestion and interstitial extravasation, observed after 30 minutes at a temperature of 40.5 °C, with the most significant changes observed in liver and lung samples.
Study on the optimization strategy of agricultural industry economic management innovation in the context of rural revitalization in the multi-Internet era
Authors: Guan Lili 
Published: October 2023

Abstract
With the implementation of a rural revitalization strategy, the management of the rural industrial economy urgently needs further innovation and optimization. In this paper, principal component analysis is used to identify the key factors of the problems of agricultural and industrial economic management in the context of rural revitalization, and potential indicator factors are uncovered through principal component analysis, and these potential factors are used instead of all indicators for more accurate analysis. Meanwhile, the PCA method was combined with a support vector machine to construct a PCA-SVM model, based on which the influence factors of agricultural economic efficiency were measured. The higher the degree of informationization of agricultural management, the greater the influence factor on agricultural economic benefits, and the correlation rate reached 26.85%. The higher the degree of the system construction of agricultural management, the greater the influence factor on agricultural economic efficiency, and the correlation rate reached 32.14%. The higher the degree of improvement of infrastructure construction, the higher the influence factor on agricultural economic efficiency, with a correlation rate of 35.68%. This study can precisely analyze the current problems in the economic management of the agricultural industry and provide effective references for promoting the economic development of rural areas in the context of rural revitalization.
Research on practical teaching of Ideology and politics in higher education institutions based on VR technology in the information age
Authors: Luo Dianwen 
Published: October 2023

Abstract
The application of VR technology to the teaching of college Ideology and politics classes not only brings new opportunities for college education innovation but also innovates the Ideology and politics teaching mode. This paper first introduces the principle of image acquisition and the presentation of virtual reality technology. After determining the parameters of left and right viewpoints, the scene images are acquired through graphic rendering technology, and then the final synthesis of left and right images is carried out. Then the determination of the comfort zone of the stereo display is introduced, using the correspondence between stereo depth and γ to determine the comfort zone. Finally, the effect of virtual reality devices in practical teaching of Ideology and politics is analyzed in terms of student performance, students’ perceived usefulness, satisfaction, and classroom acceptance of VR devices. Regarding perceived usefulness, 41% of students strongly agreed, and 30% agreed with the question, “I think the technology provides a better virtual learning scene”. The integration of VR technology into the practical teaching of Ideology and politics in higher education institutions has broken through the traditional teaching mode of Ideology and politics in higher education and improved the experience of Ideology and politics in higher education.