bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early removal of the infrapatellar fat pad/synovium complex beneficially alters the pathogenesis of moderate stage idiopathic knee osteoarthritis in male Dunkin Hartley guinea pigs
Authors: Afzali Maryam F. , Radakovich Lauren B. , Sykes Madeline M. , Campbell Margaret A. , Patton Kayley M. , Sanford Joseph L. , Vigon Nicole , Ek Ryan , Narez Gerardo E. , Marolf Angela J. , Sikes Katie J. , Haut Donahue Tammy L. , Santangelo Kelly S. 
Published: December 2022

Abstract
Background
The infrapatellar fat pad (IFP) is the largest adipose deposit in the knee; however, its contributions to the homeostasis of this organ remain undefined. To determine the influence of the IFP and its associated synovium (IFP/synovium complex or IFP/SC) on joint health, this study evaluated the progression of osteoarthritis (OA) following excision of this unit in a rodent model of naturally-occurring disease.

Methods
Male Dunkin-Hartley guinea pigs (n=18) received surgical removal of the IFP in one knee at 3 months of age; contralateral knees received sham surgery as matched internal controls. Mobility and gait assessments were performed prior to IFP/SC removal and monthly thereafter. Animals were harvested at 7 months of age. Ten set of these knees were processed for microcomputed tomography (microCT), histopathology, transcript expression analyses, and immunohistochemistry (IHC); 8 sets of knees were dedicated to microCT and biomechanical testing (material properties of knee joints tissues and anterior drawer laxity).

Results
Fibrous connective tissue (FCT) developed in place of the native adipose depot. Gait demonstrated no significant differences between IFP/SC removal and contralateral hindlimbs. MicroCT OA scores were improved in knees containing the FCT. Quantitatively, IFP/SC-containing knees had more osteophyte development and increased trabecular volume bone mineral density (vBMD) in femora and tibiae. Histopathology confirmed maintenance of articular cartilage structure, proteoglycan content, and chondrocyte cellularity in FCT-containing knees. Transcript analyses revealed decreased expression of adipose-related molecules and select inflammatory mediators in FCTs compared to IFP/SCs. This was verified via IHC for two key inflammatory agents. The medial articular cartilage in knees with native IFP/SCs showed an increase in equilibrium modulus, which correlated with increased amounts of magnesium and phosphorus.

Discussion/conclusion
Formation of the FCT resulted in reduced OA-associated changes in both bone and cartilage. This benefit may be associated with: a decrease in inflammatory mediators at transcript and protein levels; and/or improved biomechanical properties. Thus, the IFP/SC may play a role in the pathogenesis of knee OA in this strain, with removal prior to disease onset appearing to have short-term benefits.
Circulating cell-free DNA methylation mirrors alterations in cerebral patterns in epilepsy
Authors: Martins-Ferreira Ricardo , Leal Bárbara , Chaves João , Ciudad Laura , Samões Raquel , Martins da Silva António , Pinho Costa Paulo , Ballestar Esteban 
Published: December 2022

Abstract
Background
DNA methylation profiling of circulating cell-free DNA (cfDNA) has rapidly become a promising strategy for biomarker identification and development. The cell-type-specific nature of DNA methylation patterns and the direct relationship between cfDNA and apoptosis can potentially be used non-invasively to predict local alterations. In addition, direct detection of altered DNA methylation patterns performs well as a biomarker. In a previous study, we demonstrated marked DNA methylation alterations in brain tissue from patients with mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE–HS).

Results
We performed DNA methylation profiling in cfDNA isolated from the serum of MTLE patients and healthy controls using BeadChip arrays followed by systematic bioinformatic analysis including deconvolution analysis and integration with DNase accessibility data sets. Differential cfDNA methylation analysis showed an overrepresentation of gene ontology terms and transcription factors related to central nervous system function and regulation. Deconvolution analysis of the DNA methylation data sets ruled out the possibility that the observed differences were due to changes in the proportional contribution of cortical neurons in cfDNA. Moreover, we found no overrepresentation of neuron- or glia-specific patterns in the described cfDNA methylation patterns. However, the MTLE–HS cfDNA methylation patterns featured a significant overrepresentation of the epileptic DNA methylation alterations previously observed in the hippocampus.

Conclusions
Our results support the use of cfDNA methylation profiling as a rational approach to seeking non-invasive and reproducible epilepsy biomarkers.
Acute kidney injury due to myoglobin cast nephropathy in the setting of coronavirus disease 2019-mediated rhabdomyolysis: a case report
Authors: Tuan Jessica J. , Ogbuagu Onyema , Kumar Deepika , Altice Frederick , Fikrig Margaret 
Published: December 2022

Abstract
Background
We present this case of coronavirus disease 2019-associated acute kidney injury with rhabdomyolysis—with noteworthy renal biopsy findings demonstrating myoglobin cast nephropathy—to add to the limited literature on coronavirus disease 2019-related acute kidney injury and rhabdomyolysis.

Case presentation
A 67-year-old Caucasian man presented to our hospital with 3 weeks of malaise and decreased oral intake and several days of abnormal taste, poor appetite, decrease urine output, gastrointestinal symptoms, and myalgias, and was ultimately diagnosed with coronavirus disease 2019. His hospital course was complicated by acute kidney injury and, upon workup of his renal failure, was diagnosed with myoglobin cast nephropathy due to coronavirus disease 2019-mediated rhabdomyolysis. Ultimately, his renal function improved following hydration back to his baseline 6 weeks after his initial diagnosis of coronavirus disease 2019.

Conclusions
Given our limited knowledge of manifestations of coronavirus disease 2019, it is important to have a more in-depth understanding of the spectrum of disease of coronavirus disease 2019, which can affect various organ systems, including the kidney, and the manifestations of end-organ damage associated with it. We present this case to highlight a rarely reported finding of myoglobin cast nephropathy due to coronavirus disease 2019-mediated rhabdomyolysis.
A simple proof for Imnang’s algorithms
Authors: Soori Ebrahim , O’Regan Donal , Agarwal Ravi P. 
Published: December 2022

AbstractIn this paper, a simple proof of the convergence of the recent iterative algorithm by relaxed $(u, v)$
(
u
,
v
)
-cocoercive mappings due to Imnang (J. Inequal. Appl. 2013:249, 2013) is presented.
An Overview: The Application of Vibration-Based Techniques in Bridge Structural Health Monitoring
Authors: Saidin Siti Shahirah , Jamadin Adiza , Abdul Kudus Sakhiah , Mohd Amin Norliyati , Anuar Muhamad Azhan 
Published: December 2022

AbstractStructural health monitoring (SHM) systems have been developed to evaluate structural responses to extreme events such as natural and man-made hazards. Additionally, the increasing volume of users and vehicle sizes can lead to the sudden damage and collapse of bridge structures. Hence, structural monitoring and dynamic characteristic analyses of bridge structures are critical and fundamental requirements for bridge safety. SHM can overcome the weaknesses of visual inspection practices, such as lack of resolution. However, because of computational limitations and the lack of data analysis methods, substantial quantities of SHM data have been poorly interpreted. In this paper, the SHM of bridges based on dynamic characteristics is used to assess the "health state" of bridge structures. A comprehensive SHM system using vibration-based techniques and modal identification for bridge structures are well defined. Some advanced concepts and applications regarding bridge safety evaluation methods, including damage detection and load-carrying capacity, are reviewed. For the first time, the pros and cons of each vibration technique are comprehensively evaluated, providing an advantage to the authority or structural owner when developing a bridge management database. This information can then be used for continuous structural monitoring to access and predict the bridge structure condition.
Advanced bridge visual inspection using real-time machine learning in edge devices
Authors: Zakaria Mahta , Karaaslan Enes , Catbas F. Necati 
Published: December 2022

AbstractConventional methods for bridge inspection are labor intensive and highly subjective. This study introduces an optimized approach using real-time learning-based computer vision algorithms on edge devices to assist inspectors in localizing and quantifying concrete surface defects. To facilitate a better AI-human interaction, localization and quantification are separated in this study. Two separate learning-based computer vision models are selected for this purpose. The models are chosen from several available deep learning models based on their accuracy, inference speed, and memory size. For defect localization, Yolov5s shows the most promising results when compared to several other Convolutional Neural Network architectures, including EfficientDet-d0. For the defect quantification model, 12 different architectures were trained and compared. UNet with EfficientNet-b0 backbone was found to be the best performing model in terms of inference speed and accuracy. The performance of the selected model is tested on multiple edge-computing devices to evaluate its performance in real-time. This showed how different model quantization methods are considered for different edge computing devices. The proposed approach eliminates the subjectivity of human inspection and reduces labor time. It also guarantees human-verified results, generates more annotated data for AI training, and eliminates the need for post-processing. In summary, this paper introduces a novel and efficient visual inspection methodology that uses a learning-based computer vision algorithm optimized for real-time operation in edge devices (i.e., wearable devices, smartphones etc.).
Association of Urinary Nitrate With Diabetes Complication and Disease-Specific Mortality Among Adults With Hyperglycemia
Authors: Jiang Wenbo , Zhang Jia , Yang Ruiming , Sun Xinyi , Wu Huanyu , Zhang Jiacheng , Liu Siyao , Sun Changhao , Ma Lifang , Han Tianshu , Wei Wei 
Published: December 2022

Abstract

Context
The hyperglycemia condition disrupts metabolism of nitrate/nitrite and nitric oxide, and dietary nitrate intake can restore nitric oxide homeostasis.

Objective
This study aims to examine whether urinary nitrate is associated with diabetes complications and long-term survival among people with hyperglycemia.

Methods
A total of 6208 people with hyperglycemia who participated in the National Health and Nutrition Examination Survey from 2005 to 2014 were enrolled. Diabetes complications included congestive heart failure, coronary heart disease, angina, stroke, myocardial infarction, diabetic retinopathy, and nephropathy. Mortality was obtained from the National Death Index until 2015. Urinary nitrate was measured by ion chromatography coupled with electrospray tandem mass spectrometry, which was log-transformed and categorized into tertiles. Logistic regression models and Cox proportional hazards models were respectively performed to assess the association of urinary nitrate with the risk of diabetes complications and disease-specific mortalities.

Results
After adjustment for potential confounders, including urinary perchlorate and thiocyanate, compared with the participants in the lowest tertile of nitrate, the participants in the highest tertile had lower risks of congestive heart failure (odds ratio [OR] 0.41; 95% CI, 0.27-0.60) and diabetic nephropathy (OR 0.50; 95% CI, 0.41-0.62). Meanwhile, during a total follow-up period of 41 463 person-years, the participants in the highest tertile had lower mortality risk of all-cause (hazard ratio [HR] 0.78; 95% CI, 0.62-0.97), cardiovascular disease (CVD) (HR 0.56; 95% CI, 0.37-0.84), and diabetes (HR 0.47; 95% CI, 0.24-0.90), which showed dose-dependent linear relationships (P for nonlinearity &gt; 0.05). Moreover, no association between nitrate and cancer mortality was observed (HR 1.13; 95% CI, 0.71-1.80).

Conclusion
Higher urinary nitrate is associated with lower risk of congestive heart failure and diabetic nephropathy, and lower risk of all-cause, CVD, and diabetes mortalities. These findings indicate that inorganic nitrate supplementation can be considered as a supplementary treatment for people with hyperglycemia.
2023 Fitness Trends from Around the Globe
Authors: Kercher Vanessa M. (Martinez) , Kercher Kyle , Levy Paul , Bennion Trevor , Alexander Chris , Amaral Paulo Costa , Batrakoulis Alexios , Chávez Lino Francisco Jacobo Gómez , Cortés-Almanzar Paola , Haro Jorge López , Zavalza Adrián Ricardo Pelayo , Rodríguez Luis Eduardo Aguirre , Franco Susana , Santos-Rocha Rita , Ramalho Fátima , Simões Vera , Vieira Isabel , Ramos Liliana , Veiga Oscar L. , Valcarce-Torrente Manel , Romero-Caballero Alejandro 
Published: December 2022

Apply It!
From this article, the reader should be able to:
• Identify top 20 fitness trends for Australia, Brazil, Europe, Mexico, Portugal, Spain, and the United States.
• Recognize individual and unique fitness trends represented within the seven aforementioned regions.
• Identify top five trends for each region during the last 3 years.
ΗΛΙΟΣ: ΤΟ ΦΩΤΕΙΝΟ ΜΑΣ ΑΣΤΕΡΙ
Authors: Γεωργίου Εβελίνα , Καρουάνου Νεφέλη , Λεβαντόβσκι Νικόλαος , Μιχαλοπούλου Μαριλένα , Μυλωνά Μαριάννα , Παπαντωνάκης Νίκος , Σταματιάδη Δήμητρα , Στράτζαλης Νίκος , Σούπος Χρήστος 
Published: December 2022

Στο πλαίσιο των εβδομαδιαίων συναντήσεων του ομίλου της Αστρονομίας ασχοληθήκαμε με την παρατήρηση του Ήλιου. Σκοπός ήταν η κατανόηση των χαρακτηριστικών του Ήλιου και πιο συγκεκριμένα των κηλίδων του. Αφού μάθαμε να χειριζόμαστε σωστά (ζύγισμα, τοποθέτηση φακών κ.α) το ηλιακό τηλεσκόπιο, μοντέλου Coronado SolarMax 90mm, τραβήξαμε φωτογραφίες του Ήλιου, με τη βοήθεια της κάμερας ASI224MC. Ακόμη, μέσω του λογισμικού AutoStakkert τις αναλύσαμε και συζητήσαμε σχετικά με τις κηλίδες και τις θέσεις τους.
Robust Inventory Management: A Cycle-Based Approach
Authors: Chen Yupeng , Iyengar Garud , Wang Chun 
Published: December 2022

Problem definition: We study the robust formulation of an inventory model with positive fixed ordering costs, where the unfulfilled demand is either backlogged or lost, the lead time is allowed to be positive, the demand is potentially intertemporally correlated, and the information about the demand distribution is limited. Methodology/results: We propose a robust cycle-based policy that manages inventory by dividing the planning horizon into nonoverlapping inventory cycles, where an order is placed at the beginning of each cycle. Our policy selects the lengths and order quantities for all inventory cycles to minimize the worst-case total cost incurred over the planning horizon. When the uncertain demand belongs to a general polyhedral uncertainty set, the decisions in our policy can be computed by solving linear programs (LPs) for the backlogging model with any lead time and the lost-sales model with zero lead time; however, the number of LPs that need to be solved grows exponentially in the length of the planning horizon. In the special case where the uncertain demand belongs to a box uncertainty set, the decisions in our policy can be computed using a dynamic programming (DP) recursion whose complexity grows polynomially in the length of the planning horizon. We also propose a one-cycle look-ahead heuristic to handle large problem instances with a general polyhedral uncertainty set. This heuristic can be applied for both the backlogging and lost-sales models with any lead time, and it only requires solving LPs whose number grows quadratically in the length of the planning horizon. Results from extensive computational experiments clearly show that both a rolling-cycle implementation of our policy and the one-cycle look-ahead heuristic have very strong empirical performance. Managerial implications: Our robust cycle-based policy and the one-cycle look-ahead heuristic are conceptually simple and can accommodate multiple realistic features in inventory management problems. They provide a very effective approach to robust inventory management, especially in the lost-sales setting. Funding: Y. Chen was supported by a start-up grant from Nanyang Technological University. C. Wang was supported by the National Natural Science Foundation of China [Grant 71802115] and the Tsinghua University Initiative Scientific Research Program. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1168 .
Bottled Up or Poured Out: How Product Name Emotions Affect Appeal and Authenticity in the Market for Craft Beer
Authors: Khessina Olga M. , Verhaal J. Cameron , Dobrev Stanislav D. 
Published: December 2022

Although we know that product names influence audience evaluations of producers and their offerings, mechanisms behind the effect remain undertheorized. We propose that a classic psychological stimulus-and-response process is at play. Emotional contagion suggests that emotions conveyed by product names will influence consumer evaluations. Although the process is psychological, social context shapes the strength and valence in the stimulus-and-response relationship. We predict that the antimass production ideology and oppositional identity of contemporary craft markets produce reverse emotional contagion: Positively charged product names lead to negative evaluations of products and negatively charged ones lead to positive evaluations. We also predict that product names shape audience attributions of authenticity: Positive emotionality decreases authenticity perceptions and negative emotionality elevates them. We find empirical support for most of our conjectures in regression analyses of the U.S. craft beer industry between 1996 and 2012. Funding: The authors gratefully acknowledge financial support from the Gies College of Business at the University of Illinois at Urbana–Champaign and from the Lubar College of Business at the University of Wisconsin–Milwaukee. Supplemental Material: The online appendix is available at https://doi.org/10.1287/stsc.2022.0178 .
Immediate pre-operative computed tomography for surgical planning of equine fracture repair: A retrospective review of 55 cases
Authors: Taylor Camilla J. , Peter Vanessa G. , Coleridge Matthew O. D. , Bathe Andrew P. 
Published: December 2022

Introduction
Fracture configuration is often more complex than is radiographically appreciable. The objective of this study is to describe the influence of pre-operative computed tomography (CT) for surgical planning in a variety of fracture types. This has not been described in previous studies.

Materials and methods
All cases with pre-operative radiographs, admitted for CT and surgical repair of a suspected limb fracture from January 2010-December 2020 were reviewed. CT was acquired under general anaesthesia in a multi-slice helical scanner; any surgery was then performed immediately. Three diplomates (two surgical; one diagnostic imaging) performed a blinded retrospective review of the radiographs and CT for each horse. A consensus decision was made on any change in surgical plan prior to and after CT review, and cases divided into three categories: CT of major, intermediate or minor relevance, as previously described by Genton et al, 2019.

Results
55 cases were collated. Thoroughbred racehorses predominated. The median age was 3 years. A diverse range of fractures were presented: proximal phalanx (18/55), carpal (17/55), metacarpal/tarsal (11/55), sesamoid (5/55), tarsal (3/55), and middle phalanx (1/55). In 13 of 55 cases (23.6%, 95% CI[12%,35%]) CT was of major relevance. In 21 of 55 cases CT was of intermediate relevance (38.2%, 95% CI[25%,51%]). In 21 of 55 cases CT was of minor relevance (38.2%, 95% CI[25%,51%]). A Fisher’s exact test demonstrated no statistical difference in CT relevance between fracture types (p<0.05).

Discussion/Conclusions
This study demonstrates that CT has a significant role in surgical planning, and in the majority (61.8%) of cases added additional information or significantly changed the surgical plan. In all cases CT ensured confidence in surgical planning.
Identification of COVID-19 spread mechanisms based on first-wave data, simulation models, and evolutionary algorithms
Authors: Stanovov Vladimir , Grabljevec Stanko , Akhmedova Shakhnaz , Semenkin Eugene , Stojanović Radovan , Rozman Črtomir , Škraba Andrej 
Published: December 2022

Background
The COVID-19 epidemic has shown that efficient prediction models are required, and the well-known SI, SIR, and SEIR models are not always capable of capturing the real dynamics. Modified models with novel structures could help identify unknown mechanisms of COVID-19 spread.

Objective
Our objective is to provide additional insights into the COVID-19 spread mechanisms based on different models’ parameterization which was performed using evolutionary algorithms and the first-wave data.

Methods
Data from the Our World in Data COVID-19 database was analysed, and several models—SI, SIR, SEIR, SEIUR, and Bass diffusion—and their variations were considered for the first wave of the COVID-19 pandemic. The models’ parameters were tuned with differential evolution optimization method L-SHADE to find the best fit. The algorithm for the automatic identification of the first wave was developed, and the differential evolution was applied to model parameterization. The reproduction rates (R0) for the first wave were calculated for 61 countries based on the best fits.

Results
The performed experiments showed that the Bass diffusion model-based modification could be superior compared to SI, SIR, SEIR and SEIUR due to the component responsible for spread from an external factor, which is not directly dependent on contact with infected individuals. The developed modified models containing this component were shown to perform better when fitting to the first-wave cumulative infections curve. In particular, the modified SEIR model was better fitted to the real-world data than the classical SEIR in 43 cases out of 61, based on Mann–Whitney U tests; the Bass diffusion model was better than SI for 57 countries. This showed the limitation of the classical models and indicated ways to improve them.

Conclusions
By using the modified models, the mechanism of infection spread, which is not directly dependent on contacts, was identified, which significantly influences the dynamics of the spread of COVID-19.