bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study protocol: resting-state functional magnetic resonance imaging in patients with knee osteoarthritis based on central hyperalgesia
Authors: Wang Kai , Zhang Fu-Qiang , Zhang Sui-Feng , Sun Dong-Liang , Yan Liang , Cheng Qing-Hao , Chai Xi-Ping , Guo Hong-Zhang 
Published: September 2023

Abstract
Background
Pain is the most common symptom of knee osteoarthritis (KOA), with an incidence of 36.8–60.7%, thereby making it a primary cause that impacts patients’ quality of life and forces them to seek medical treatment. However, the KOA pain mechanisms are complex. The resulting joint degeneration provides stimuli to the central nervous system, thus, initiating several plastic changes under pain stimulation. Hence, nerve function changes enhance the responsiveness of neurons to normal or subliminal afferents, resulting in central sensitization. The development of chronic pain is closely related to the reorganization of brain structure and function. However, recent imaging technologies like resting-state functional magnetic resonance imaging (rs-fMRI) can inhibit the non-specific signals caused by cerebrospinal fluid fluctuations better and detect spontaneous human neural activity with accuracy and sensitivity. Therefore, we intend to explore the characteristics of spontaneous neural activity in KOA patients by utilizing rs-fMRI technology in combination with the changes in clinical-related variables. Our findings might help in revealing the neuropathological mechanism of KOA pain from the perspective of central pain sensitization.
Methods
Being a cross-sectional study, it will include all KOA patients who will be visiting the Joint Diagnosis and Treatment Center of Gansu Provincial Hospital from September 2023 to September 2024 and healthy volunteers with matching gender, age, and education levels as healthy controls. The clinical data, Central Sensitization Scale (CSI), Visual Analogue Scale (VAS), Western Ontario McMaster University Osteoarthritis Index (WOMAC), and radiological indicators of the two groups will be collected. After processing rs-fMRI scan results by image data processing, the fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) will be calculated for both groups. Based on the variance analysis results, the abnormal brain regions will be superimposed as regions of interest (ROI) for assessing whole-brain functional connectivity (FC). Pearson’s correlation analysis will be employed for analyzing the correlation between the fALFF and FC values of abnormal brain regions as well as the clinical data, rating scales, and radiological indicators of KOA patients.
Discussion
We will use rs-fMRI technology to analyze the abnormal brain function patterns in KOA patients and imaging data to reveal the specific central pain sensitization mechanisms in KOA. Thus, this study aims to provide reliable and comprehensive evidence for clinical practice and determine a reasonable intervention plan for effectively reducing the discomfort and pain of such patients.
Synchronization of Chaotic Memristive System with Sinusoidal Colpitts Oscillator based on Adaptive Feedback Control Method
Authors: Setoudeh Farbod , Chegini Mohammad Hossein 
Published: September 2023

Abstract

The synchronization of chaotic memristive systems with sinusoidal oscillators in order to achieve fully sinusoidal response can be included among the most important ongoing research topics in nonlinear sciences. In this paper, the purpose of controlling the chaotic oscillator based on memristive devices is to achieve sinusoidal response by synchronizing its response with the response of sinusoidal colpitts oscillator. For this purpose, sinusoidal synchronizations between two distinct dynamical systems with different order are investigated. Accordingly, we provided a sufficient condition in order to control the chaos in the memristive oscillator based on memcapacitor and meminductor, in order to achieve fully sinusoidal response with constant amplitude. For this purpose, an adaptive feedback controller is designed to synchronize the states of the master and slave oscillators. Numerical simulations are performed to verify the effectiveness of the proposed control scheme.
A geometrical viewpoint on the benign overfitting property of the minimum ℓ 2 -norm interpolant estimator and its universality
Authors: Lecué Guillaume , Shang Zong 
Published: September 2023

Abstract

In the linear regression model, the minimum ℓ 2-norm interpolant estimatorˆβestimatorˆ estimatorˆβ has received much attention since it was proved to be consistent even though it fits noisy data perfectly under some condition on the covariance matrix Σ of the input vector, known as benign overfitting. Motivated by this phenomenon, we study the generalization property of this estimator from a geometrical viewpoint. Our main results extend and improve the convergence rates as well as the deviation probability from [44]. Our proof differs from the classical bias/variance analysis and is based on the self-induced regularization property introduced in [3]: ˆ β can be written as a sum of a ridge estimatorˆβestimatorˆ estimatorˆβ 1:k and an overfitting componentˆβcomponentˆ componentˆβ k+1:p which follows a decomposition of the features space R p = V 1:k ⊕ ⊥ V k+1:p into the space V 1:k spanned by the top k eigenvectors of Σ and V k+1:p spanned by the p − k last ones. We also prove a matching lower bound for the expected prediction risk thus obtain the sufficient and necessary conditions for benign overfitting ofˆβofˆ ofˆβ. The two geometrical properties of random Gaussian matrices at the heart of our analysis are the Dvoretsky-Milman theorem and isomorphic and restricted isomorphic properties. In particular, the Dvoretsky dimension appearing naturally in our geometrical viewpoint, coincides with the effective rank from [2, 44] and is the key tool for handling the behavior of the design matrix restricted to the sub-space V k+1:p where overfitting happens.
We extend these results to heavy-tailed scenarii proving the universality of this phenomenon beyond exponential moment assumptions. This phenomenon is unknown before and is widely believed to be a significant challenge. This follows from an anistropic version of the probabilistic Dvoretsky-Milman theorem that holds for heavy-tailed vectors which is of independent interest.
Spatio-temporal characteristics and development trends of ecosystem service value in lake- based tourist destinations under the metacoupling framework - A case study of Chun'an County, Zhejiang Province, China
Authors: Jiang Weifeng , Lu lin , Ren yisheng , Cui jing , Xu yan , xu wenbin 
Published: September 2023

Abstract
Context With the rapid development of China's tourism industry, tourism has become a strategic pillar industry of the national economy. Understanding the spatio-temporal characteristics and development trend of ecosystem service value of tourist destinations is a prerequisite for realizing the sustainable development. however, few studies have explored it from the metacoupling perspective, which is of great significance for us to discern and understand the relationship between tourism development and ecological conservation.
Objectives The goal is explore the the regularity of ecosystem service value evolution in lake-based tourist destinations and the path towards sustainable development.
Methods We used the metacoupling framework of tourist destinations and Patch-level Land Use Simulation model (PLUS) to diagnose the spatio-temporal evolution pattern of ecosystem service value in Chun'an County, and explore paths to a sustainable future for tourist destinations.
Results The ecological service value of Chun'an County has decreased from 32.71 billion RMB to 30.15 billion RMB over the past two decades, and intensive human activities have significantly weakened the ecological service value of tourism destination, but the overall ecological environment of Chun'an County has tended to improve.
Conclusions Rational tourism development can notably enhance the relationship between humans and nature, and it is imperative to reinforce ecological management while regulating excessive human activities in the future construction of lake-based tourist destinations.
Multi-criteria calibration and uncertainty analysis of SWAT model: integrating in-situ discharge and remotely sensed ET in the Ilam dam basin, and direct calibration in ungauged basins
Authors: Baninajar Hosna , Sarang Amin , Karbassi Abdolreza 
Published: September 2023

Abstract

Complex hydrological processes can be modeled using the Soil and Water Assessment Tool (SWAT). However, poor quality inputs, lack of observation and high number of input parameters make the modeling challenging and complicate the calibration process. The main aim of this study is to assess the parameters uncertainty and suitability of discharge and remotely sensed ET data to calibrate the SWAT model and explore the possibility of using MODIS satellite imagery for direct calibration in ungauged study areas. Different techniques are adopted to acquire accurate land use map and remotely sensed evapotranspiration derived from Sentinel-2 and MODIS satellite imagery. Sobol’ sensitivity analysis is used to effectively identify the key parameters and provides crucial information on how they influence the model outputs. To address model equifinality and uncertainty, the model of the Ilam Dam Basin in Iran is calibrated and validated using a multi-criteria performance evaluation approach that considers all performance criteria concurrently. The discharge predictions at the Sarjoy station showed good discharge predictions during 12 years of calibration (NSE = 0.6, KGE = 0.79, PBIAS = 3.7 and \({R}^{2}\)= 0.64) and 5 years of validation (NSE = 0.5, KGE = 0.76, PBIAS = -0.3 and \({R}^{2}\) = 0.58). ET predictions at the selected HRU also demonstrated acceptable results for calibration (NSE = 0.37, KGE = 0.69, PBIAS = -0.9 and \({R}^{2}\) = 0.47) and validation periods (NSE = 0.47, KGE = 0.73, PBIAS = 0.4 and \({R}^{2}\) = 0.54). The sensitivity analysis shows that while key parameters in both the discharge and ET models exhibited similarity, their varying levels of influence are notable. Furthermore, the direct calibration of the SWAT model yields acceptable performance criteria (NSE = 0.43, KGE = 0.66, PBIAS = -18 and \({R}^{2}\) = 0.61), making it a valuable approach in data-scarce regions.
Bacteriological Quality of Fresh Cow Milk From Dairy Farms in Parts of Kaduna State, Nigeria
Authors: Abubakar Umar 
Published: September 2023

Abstract
The study was carried out to determine the bacteriological quality of farm fresh raw cow milk with emphasis on the detection of Staphylococcus species. A total of 592 quarter milk samples, 30 bulk milk samples and 27 swab samples of the hands of milk men were examined from 12 dairy farms in Kaduna and Zaria. The bacteriological quality of the milk samples were determined by both the California Mastitis Test and the Total Viable Staphylococcal Count.The prevalence of subclinical mastitis from positive California Mastitis Test (≥+) was 24.5%. The mean Staphylococcal count was 4.2 log10 cfu/ml. The number of suspected Staphyloccocal isolates that were Gram positive and catalase positive were 103, which were then biochemically screened down clearly to 51, with their identities confirmed using the Microbact Microgen Kit. Among the Staphylococcal species, Staphylococcus aureus showed the highest population of phenotypic identity with 38%. This organism is important from public health point of view as they have been associated with the onset of food poisoning in human beings.
Detection of Enterotoxin Production by Staphylococcus Species in Fresh Raw Milk Samples From Large Mechanized Dairy Farms and Small Holder Dairy Farms in Kaduna and Zaria.
Authors: Abubakar Umar 
Published: September 2023

Abstract
Staphylococcus species are considered the primary and most lethal agents that cause mastitis; they are also an important pathogens of public health concern because of their production of enterotoxins which causes staphylococcal food poisoning. A total of 592 quarter milk samples, 30 bulk milk samples and 27 swab samples of milkers hands were examined from 12 farms (Both mechanized and small holder farms) in Kaduna as well as in Zaria. The prevalence of subclinical mastitis from postive California Mastitis Test (≥+) was 24.5%. The mean Staphylococcal count was 4.2 log10 cfu/ml. One hundred and three (103) Staphyloccocal isolates that were Gram positive and catalase positive were identified biochemically, out of which the identities of 51 was confirmed using the Microbact Microgen Kit, from this number, 25 selected isolates were tested for enterotoxin production using the Staphylococcal Enterotoxin Reverse Passive Latex Agglutination (SET-RPLA) kit. From the number tested, 60% were found to produce one or more Staphylococcal Enterotoxins (SEs). Eight (32%) of the isolates produced SEA, 3 (12%) produced SEB. None of the isolates produced SEC and SED but 1 (4%) produced SE (ABC). PCR analysis to detect the Enterotoxin genes showed that only 5 SEA genes were present out of the 8 SEA producers and 2 of SEB genes were detected in the 3 SEB producers tested. At the end, it was recommended that consumption of raw, unpasteurized cow milk should be avoided by the people in order to prevent the risk of Staphylococcal Enterotoxin food poisoning.
Considered Covariance Approach to Assessing the Impact of Collector Orbital and Data Measurement Biases on Geolocation Performance
Authors: Lerner Gerald M 
Published: September 2023

Abstract

A Gauss-Newton estimator with considered biases is developed and applied to the problem of geolocating a mobile communications signal with a network of receivers. A Monte Carlo (MC) simulation is used to validate the models and implementation, and to examine practical issues —incorporating navigation errors on the collectors into the covariance data, analyzing measurement data and validating system performance. The use of considered covariance dramatically improves containment performance and provides a mechanism to identify, model and estimate the impact of biases on the data. Appendices are provided to address secondary issues such as data combiner performance, algorithm convergence, and data weighting.
Characterization of barley (Horduem vulgare) lys3 mutants identifies genes under the regulation of the prolamin-box binding transcription factor and elucidates its role in endosperm promoter methylation during grain development
Authors: Vinje Marcus , Simmons Carl 
Published: September 2023

Abstract

The barley Lys3 locus controls hordein (Hor1 and Hor2) and b-amylase (Bmy1) gene expression in the developing endosperm and affects several malting quality traits due to these and other gene expression changes. The Lys3 locus was determined to regulate Bmy1, Hor1, and Hor2 genes using a chemically induced mutant from the Danish cultivar Bomi. The causal mutation in lys3.a mutants is a SNP in the barley prolamin-box binding factor gene (BPBF). It is hypothesized that the lys3.a locus inhibits demethylation at the Hor2 promoter causing hypermethylation that subsequently inhibits gene expression. Because of the similar gene expression patterns between Hor2 and Bmy1 in the lys3.a mutants, we hypothesize that hypermethylation was occurring in the Bmy1 promoter. To test this hypothesis and to determine the downstream genes affected by the lys3.a mutation, whole-genome bisulfite sequencing (WGBS) and mRNA-seq were performed on developing endosperms from two lys3 mutants (lys3.a from Risø 1508; lys3.b from Risø 18) and their parent Bomi along with the lys3.a locus introgressed into Sloop, an Australian malting cultivar. Overall, global and genic DNA methylation levels were not significantly different between the lys3 mutants and parents. Promoter DNA methylation levels did not explain differences in gene expression between mutants and their parents. RNAseq analysis identified 306 differentially expressed genes (DEGs) shared between all mutants and their parents and 185 DEGs shared between both lys3.a mutants and their parents. The majority of DEGs were downregulated (e.g., B- and C-hordeins and Bmy1), but some DEGs were upregulated (e.g., b-glucosidase, D-hordein) suggesting compensatory effects and potentially explaining the low β-glucan phenotype observed in lys3.a germplasm.
Comparison of four commercial immunomagnetic separation kits for the detection of Cryptosporidium
Authors: Arona Jeanne Claudeen , Hall Timothy J. , Mckinnirey Flyn , Deng Fei 
Published: September 2023

Abstract

Cryptosporidium spp. are protozoan parasites of significant health importance found in environmental waters globally. Four commercially available Cryptosporidium-specific immunomagnetic separation (IMS) kits used in various water sample matrices were analysed and compared. Beads were characterised by flow cytometry and tested for the recovery efficiencies for oocysts spiked into different matrices: river water sediment, clay sample, and filter backwash sample. Results showed that Dynabeads™ Cryptosporidium and Waterborne Crypto-Grab™ kits contained immunoglobulin IgM antibody-coated beads. In contrast, the BioPoint CryptoBead and the TCS Isolate kits contained immunoglobulin IgG antibody-coated beads. BioPoint CryptoBead was significantly coated with more antibodies and were able to capture oocysts more rapidly compared to the other beads. Recovery efficiencies of Dynabeads™, TCS Isolate® beads, and BioPoint CryptoBead ranged from 55 to 93% when tested against different sample matrices, with BioPoint CryptoBead resulting in the highest at 93% in reagent-grade water and Dynabeads™ at 55%, the lowest against clay samples. The Waterborne beads did not perform well on any samples, with recovery efficiencies ranging from 0 to 8%. Fluorescence microscopy analyses showed that both the IMS method and the sample matrix processed affect the quality of the membranes, with the cleanest samples for microscopy examination observed from BioPoint CryptoBead.
The Information Needs and Experiences of People Living With Cardiac Implantable Electronic Devices: Qualitative Content Analysis of Reddit Posts
Authors: Nicmanis Mitchell , Chur-Hansen Anna , Linehan Karen 
Published: September 2023

Background
Cardiac implantable electronic devices (CIEDs) are used to treat a range of cardiovascular diseases and can lead to substantial clinical improvements. However, studies evaluating patients’ experiences of living with these devices are sparse and have focused mainly on implantable cardioverter defibrillators. In addition, there has been limited evaluation of how people living with a CIED use social media to gain insight into their condition.

Objective
This study aims to analyze posts from web-based communities called subreddits on the website Reddit, intended for people living with a CIED, to characterize the informational needs and experiences of patients.

Methods
Reddit was systematically searched for appropriate subreddits, and we found 1 subreddit that could be included in the analysis. A Python-based web scraping script using the Reddit application programming interface was used to extract posts from this subreddit. Each post was individually screened for relevancy, and a register of participants’ demographic information was created. Conventional qualitative content analysis was used to inductively classify the qualitative data collected into codes, subcategories, and overarching categories.

Results
Of the 484 posts collected using the script, 186 were excluded, resulting in 298 posts from 196 participants being included in the analysis. The median age of the participants who reported this was 33 (IQR 22.0-39.5; range 17-72) years, and the majority had a permanent pacemaker. The content analysis yielded 5 overarching categories: use of the subreddit by participants, questions and experiences related to the daily challenges of living with a CIED, physical sequelae of CIED implantation, psychological experiences of living with a CIED, and questions and experiences related to health care while living with a CIED. These categories provided insight into the diverse experiences and informational needs of participants living with a CIED. The data predominantly represented the experiences of younger and more physically active participants.

Conclusions
Social media provides a platform through which people living with a CIED can share information and provide support to their peers. Participants generally sought information about the experiences of others living with a CIED. This was often done to help overcome a range of challenges faced by participants, including the need to adapt to living with a CIED, difficulties with navigating health care, psychological difficulties, and various aversive physical sequelae. These challenges may be particularly difficult for younger and physically active people. Health care professionals may leverage peer support and other aid to help people overcome the challenges they face while living with a CIED.
Thermographic Examination of the Horse
Authors: Kruljc Peter 
Published: September 2023

Abstract
Thermography is a noninvasive diagnostic imaging technique that detects regions of the body surface with increased (or decreased) temperature by measuring infrared radiation. It reveals physiological and pathophysiological changes primarily related to blood flow and metabolic rate in the examined body regions, as well as altered heat production. These include physical stress, various physical injuries, medical conditions, and environmental factors. In equine medicine, thermography can be used for early detection of tissue temperature changes, allowing intervention at an early stage of a medical deterioration. Thermographic examination can be used to detect tissue abnormalities in all regions of the body. It is particularly useful for the detection of musculoskeletal disorders. Inflammatory processes are present in many diseases and injuries, which can be successfully detected with thermography. Thermography makes it possible to monitor the success of treatment. Often, thermographically visible disease changes are detected before clinical signs or other imaging techniques become visible in the animal. In physical therapy, it helps locate regions of the body in need of treatment and plays an important role in detecting illegal procedures (such as local analgesics) to improve competitive performance in horses.
Thermography serves as a complementary diagnostic tool. However, in practice, it has some limitations. The method is not specific and cannot determine the etiology of pathological changes. Therefore, it is usually used together with other diagnostic methods (such as X-ray, ultrasound, computed tomography and magnetic resonance imaging) and can not replace them.