bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary protocol for measuring the reproducibility and accuracy of flow values on digital PET/CT systems in [15O]H2O myocardial perfusion imaging using a flow phantom
Authors: Siekkinen Reetta , Partanen Heidi , Kukola Linda , Tolvanen Tuula , Fenwick Andrew , Smith Nadia A. S. , Teräs Mika , Saraste Antti , Teuho Jarmo 
Published: July 2024

Abstract
Background
Several factors may decrease the accuracy of quantitative PET myocardial perfusion imaging (MPI). It is therefore essential to ensure that myocardial blood flow (MBF) values are reproducible and accurate, and to design systematic protocols to achieve this. Until now, no systematic phantom protocols have been available to assess the technical factors affecting measurement accuracy and reproducibility in MPI.

Materials and methods
We implemented a standard measurement protocol, which applies a flow phantom in order to compare image-derived flow values with respect to a ground truth flow value with [15O]H2O MPI performed on both a Discovery MI (DMI-20, GE Healthcare) and a Biograph Vision 600 (Vision-600, Siemens Healthineers) system. Both systems have automatic [15O]H2O radio water generators (Hidex Oy) individually installed, allowing us to also study the differences occurring due to two different bolus delivery systems. To investigate the technical factors contributing to the modelled flow values, we extracted the [15O]H2O bolus profiles, the flow values from the kinetic modeling (Qin and Qout), and finally calculated their differences between test-retest measurements on both systems.

Results
The measurements performed on the DMI-20 system produced Qin and Qout values corresponging to each other as well as to the reference flow value across all test-retest measurements. The repeatability differences on DMI-20 were 2.1% ± 2.6% and 3.3% ± 4.1% for Qin and Qout, respectively. On Vision-600 they were 10% ± 8.4% and 11% ± 10% for Qin and Qout, respectively. The measurements performed on the Vision-600 system showed more variation between Qin and Qout values across test-retest measurements and exceeded 15% difference in 7/24 of the measurements.

Conclusions
A preliminary protocol for measuring the accuracy and reproducibility of flow values in [15O]H2O MPI between digital PET/CT systems was assessed. The test-retest reproducibility falls below 15% in majority of the measurements conducted between two individual injector systems and two digital PET/CT systems. This study highlights the importance of implementing a standardized bolus injection and delivery protocol and importance of assessing technical factors affecting flow value reproducibility, which should be carefully investigated in a multi-center setting.
Kinetic model-informed deep learning for multiplexed PET image separation
Authors: Pan Bolin , Marsden Paul K. , Reader Andrew J. 
Published: July 2024

Abstract
Background
Multiplexed positron emission tomography (mPET) imaging can measure physiological and pathological information from different tracers simultaneously in a single scan. Separation of the multiplexed PET signals within a single PET scan is challenging due to the fact that each tracer gives rise to indistinguishable 511 keV photon pairs, and thus no unique energy information for differentiating the source of each photon pair.

Methods
Recently, many applications of deep learning for mPET image separation have been concentrated on pure data-driven methods, e.g., training a neural network to separate mPET images into single-tracer dynamic/static images. These methods use over-parameterized networks with only a very weak inductive prior. In this work, we improve the inductive prior of the deep network by incorporating a general kinetic model based on spectral analysis. The model is incorporated, along with deep networks, into an unrolled image-space version of an iterative fully 4D PET reconstruction algorithm.

Results
The performance of the proposed method was evaluated on a simulated brain image dataset for dual-tracer [$$^{18}$$

18

F]FDG+[$$^{11}$$

11

C]MET PET image separation. The results demonstrate that the proposed method can achieve separation performance comparable to that obtained with single-tracer imaging. In addition, the proposed method outperformed the model-based separation methods (the conventional voxel-wise multi-tracer compartment modeling method (v-MTCM) and the image-space dual-tracer version of the fully 4D PET image reconstruction algorithm (IS-F4D)), as well as a pure data-driven separation [using a convolutional encoder-decoder (CED)], with fewer training examples.

Conclusions
This work proposes a kinetic model-informed unrolled deep learning method for mPET image separation. In simulation studies, the method proved able to outperform both the conventional v-MTCM method and a pure data-driven CED with less training data.
Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning
Authors: Suvarna Buradagunta , Balakrishna Sivadi 
Published: July 2024

AbstractWith the rise of online shopping due to the COVID-19 pandemic, Recommender Systems have become increasingly important in providing personalized product recommendations. Recommender Systems face the challenge of efficiently extracting relevant items from vast data. Numerous methods using deep learning approaches have been developed to classify fashion images. However, those models are based on a single model that may or may not be reliable. We proposed a deep ensemble classifier that takes the probabilities obtained from five pre-trained models such as MobileNet, DenseNet, Xception, and the two varieties of VGG. The probabilities obtained from the five pre-trained models are then passed as inputs to a deep ensemble classifier for the prediction of the given item. Several similarity measures have been studied in this work and the cosine similarity metric is used to recommend the products for a classified product given by a deep ensemble classifier. The proposed method is trained and validated using benchmark datasets such as Fashion product images dataset and Shoe dataset, demonstrating superior accuracy compared to existing models. The results highlight the potential of leveraging transfer learning and deep ensemble techniques to enhance fashion recommendation systems. The proposed model achieves 96% accuracy compared to the existing models.
Comparing blood pressure measurements between sitting in chairs and sitting on the floor
Authors: Kim Byung Sik , Lim Young-Hyo , Kim Woohyeun , Kook Hyungdon , Shin Jeong-Hun , Lee Yonggu , Heo Ran , Kim Hyun-Jin , Shin Jinho 
Published: July 2024

Abstract
Background
The current standard approach to measuring home blood pressure (BP) involves taking measurements while sitting in a chair. In cultures where floor sitting is common, including Korea, assessing BP while sitting on the floor would be more feasible. However, there is still a lack of research investigating whether BP measurements obtained while seated in a chair and while sitting on the floor can be regarded as interchangeable. The aim of the study was to evaluate whether there is a difference between BP measurements taken while sitting in a chair and while sitting on the floor in a Korean adult.

Methods
Among the participants who visited for evaluation of pulse wave velocity, a total of 116 participants who agreed to participate in the study were randomly selected. All subjects rested for 5 min, and BP measurements were taken at 1-min intervals according to a randomly assigned order of standard method (chair-sitting) and BP in a seated on the floor (floor-sitting).

Results
Of the 116 participants, the median age was 68 (with an interquartile range of 59 to 75), and 82% were men. There were no significant differences in systolic BP (SBP, 129.1 ± 17.8 mmHg in chair-sitting and 130.1 ± 18.9 mmHg in floor-sitting, P = 0.228) and diastolic BP (DBP, 73.9 ± 11.4 mmHg in chair-sitting and 73.7 ± 11.4 mmHg in floor-sitting, P = 0.839) between the two positions. In addition, there was a high level of agreement between BP measurements taken in the two positions (intraclass correlation coefficients: 0.882 for SBP and 0.890 for DBP).

Conclusion
These findings provide important insights into securing the reliability of home BP measurements through the commonly practiced floor-sitting posture in cultures where floor sitting is common. Furthermore, this could serve as substantial evidence for providing specific home BP measurement guidelines to patients who adhere to a floor-sitting lifestyle.
Developing inclusive public involvement and engagement activities with secondary school students and educational professionals: a protocol
Authors: Cross Lauren , Banham Dale , Melendez-Torres G. J. , Ford Tamsin , van Sluijs Esther , Liabo Kristin 
Published: July 2024

Abstract
Background
Public involvement and engagement (PI&E) is increasingly recognised as an important component of research. It can offer valuable insights from those with experiential knowledge to improve research quality, relevance, and reach. Similarly, schools are ever more common sites for health research and, more recently, PI&E. However, ‘gold-standard’ practice is yet to be established, and activities/approaches remain underreported. As a result, knowledge can remain localised or lost. Diversity and inclusion also remains a challenge.

Methods
This protocol has been informed by UK national guidance, evidence-based frameworks and available implementation literature. It describes both rationale and approach to conducting PI&E activities within a secondary school context. Activities are designed to be engaging, safe and accessible to young people with diverse experiences, with scope to be iteratively developed in line with public collaborator preference.

Discussion
Young people should be architects of their involvement and engagement. Ongoing appraisal and transparency of approaches to PI&E in school settings is crucial. Expected challenges of implementing this protocol include facilitating a safe space for the discussion of sensitive topics, absence and attrition, recruiting students with a diverse range of experiences, and potential knowledge and capacity barriers of both facilitator and contributors. Activities to mitigate these risks are suggested and explored.
7 T and beyond: toward a synergy between fMRI-based presurgical mapping at ultrahigh magnetic fields, AI, and robotic neurosurgery
Authors: Seghier Mohamed L. 
Published: July 2024

AbstractPresurgical evaluation with functional magnetic resonance imaging (fMRI) can reduce postsurgical morbidity. Here, we discuss presurgical fMRI mapping at ultra-high magnetic fields (UHF), i.e., ≥ 7 T, in the light of the current growing interest in artificial intelligence (AI) and robot-assisted neurosurgery. The potential of submillimetre fMRI mapping can help better appreciate uncertainty on resection margins, though geometric distortions at UHF might lessen the accuracy of fMRI maps. A useful trade-off for UHF fMRI is to collect data with 1-mm isotropic resolution to ensure high sensitivity and subsequently a low risk of false negatives. Scanning at UHF might yield a revival interest in slow event-related fMRI, thereby offering a richer depiction of the dynamics of fMRI responses. The potential applications of AI concern denoising and artefact removal, generation of super-resolution fMRI maps, and accurate fusion or coregistration between anatomical and fMRI maps. The latter can benefit from the use of T1-weighted echo-planar imaging for better visualization of brain activations. Such AI-augmented fMRI maps would provide high-quality input data to robotic surgery systems, thereby improving the accuracy and reliability of robot-assisted neurosurgery. Ultimately, the advancement in fMRI at UHF would promote clinically useful synergies between fMRI, AI, and robotic neurosurgery.Relevance statement This review highlights the potential synergies between fMRI at UHF, AI, and robotic neurosurgery in improving the accuracy and reliability of fMRI-based presurgical mapping.Key points• Presurgical fMRI mapping at UHF improves spatial resolution and sensitivity.• Slow event-related designs offer a richer depiction of fMRI responses dynamics.• AI can support denoising, artefact removal, and generation of super-resolution fMRI maps.• AI-augmented fMRI maps can provide high-quality input data to robotic surgery systems.
Graphical Abstract
Referrals for rheumatologic evaluation following a positive antinuclear antibody test result. A cross-sectional single center Brazilian study
Authors: Vecchia Leonardo Borgato Della , Assis Caio Delano Campos Oliveira , Salatiel Fernando de Oliveira , Cirino Maria Thereza Santos , Scarpante Maria Eduarda Vogel , Oliveira Vanessa Monteiro , Meneghin Letícia Pedroso , Silva Maria Júlia Gonçalves , Santos Victória Ferini dos , Catardo Natália Pavoni , Nemesio Isabela Pulini , Paula Lívia Loamí Ruyz Jorge de , Sasdelli Carolina Borges Garcia , Bacchiega Ana Beatriz Santos 
Published: July 2024

Abstract
Background
In general, patients are referred for rheumatological evaluation due to isolated laboratory abnormalities, especially antinuclear antibody (ANA) positivity, with the risk of more severe patients remaining on the waiting list for longer than desired. The aim of this study was to analyze the demographic, clinical, and laboratory information of patients referred to a specialized rheumatological care unit because of positive antinuclear antibody.

Methods
This is a retrospective study of 99 out of 1670 patients seen by the same rheumatologist between 01/01/2011 and 01/01/2019. Patients whose referrals were exclusively due to the ANA test result and the specialist’s final diagnosis being “abnormal finding of serum immunological test” (ICD-10 R769) were included. Sociodemographic, clinical, and laboratory information were extracted from the consulting rheumatologist’s chart. Descriptive statistics were used for data analysis.

Results
A total of 99 patients were included, most of whom were female (84.8%) with a median age of 49 years. At the moment of specialist’s appointment, 97 patients (97.9%) repeated the ANA test, and 77 patients remained positive. Of these, only 35 (35.35%) were in a high titer range (greater than or equal to 1:320). Complete blood count for cytopenia’s investigation was not performed in a high percentage of patients (22.2%), as well as urinalysis (31.3%). In addition, more than 70% of patients score 0 to 1 classification criteria for Systemic Lupus Erythematosus, according to SLE - ACR 1987 (American College of Rheumatology) and SLICC 2012 (Systemic Lupus International Collaborating Clinics).

Conclusions
Most patients are still referred for specialized evaluation due to the misinterpretation of laboratory tests that were inappropriately requested in patients without clinical evidence of autoimmune rheumatic disease.
The ability of biostimulants and copper-containing fungicide to protect cotton against chilling stress
Authors: Ergin Nurgül , Kulan Engin Gökhan , Harmanci Pınar , Kaya Mehmet Demir 
Published: July 2024

Abstract
Background
Cotton (Gossypium hirsutum L.), adapted to tropical and subtropical regions of the world, is highly sensitive to low temperatures throughout its life cycle. The objective of this study was to evaluate the mitigating effects of different doses of animal-derived (0.25%, 0.50%, and 1.00% Isabion® ), seaweed-based (0.165%, 0.330%, and 0.660% Proton®) biostimulants, as well as a copper (Cu)-containing fungicide application, on cotton cultivar Lazer seedlings at the four true leaves (V4) stage. The plants were exposed to a low temperature of 5 °C for 48 h, and the changes in morphological (seedling fresh and dry weight, plant height, and stem diameter) and physiological parameters (leaf temperature, chlorophyll content, relative water content, electrolyte leakage, and relative injury) were examined.

Results
The results revealed that chilling stress reduced plant growth, while biostimulants helped protect the plants and overcome the adverse effects of chilling. Under chilling stress, there was a considerable reduction in seedling fresh weight (SFW), seedling dry weight (SDW), plant height (PH), stem diameter (SD), leaf temperature (LT), and relative water content (RWC). Cotton seedlings treated with the animal-derived biostimulants showed significantly enhanced SFW, SDW, PH, SD, LT, chlorophyll content (Chl), electrolyte leakage (EL), and relative injury (RI), although there were no positive changes in RWC. No significant differences in the morphological traits were observed among the doses of seaweed biostimulants. For SDW, PH, EL, and RI, the best results were obtained with the application of a fungicide containing copper.

Conclusion
These results show the efficiency of the biostimulant and fungicide treatments in mitigating low-temperature stress in cotton seedlings. Applying a copper-containing fungicide to cotton seedlings helped to counteract the negative effects of low-temperature stress and to protect the plants from damage by maintaining electrolyte balance. Among the biostimulant applications, all levels of animal-derived biostimulant applications, as well as the 0.660% level of the seaweed-derived biostimulant, led to increased tolerance of cotton plants to chilling stress.
Knowledge and attitude of general population towards climate change and its impact on health in Ismailia Governorate, Egypt
Authors: Hussein Sarah M. , Ibrahim Bassma A. 
Published: July 2024

Abstract
Background
Recently, climate change (CC) has garnered significant global attention. It has emerged as one of the most pressing environmental issues, resulting in a multitude of adverse impacts on human well-being and health. This study aims to assess the knowledge and attitude of the general population in Ismailia Governorate, Egypt, about CC and its impact on health, identify factors affecting the general population’s knowledge about CC, and highlight methods to solve this problem.

Methods
A cross-sectional study was carried out on the general population in Ismailia governorate, Egypt. A snowball sample of participants (n = 150) was enrolled in the study by distributing an online Google form containing a structured self-administered questionnaire.

Results
The participants had an average knowledge score of 27.42 ± 14.42, with 60% considered knowledgeable. About 54% knew the main cause of CC. Around 75% were aware of the environmental impacts of CC, and 69.3% knew about the effects on human health. Based on the questionnaire’s results, 76.7% of respondents believed that increasing afforestation helps in the mitigation of CC and 77.3% believed that governments bear the responsibility for CC. Approximately 85% regarded increasing green spaces as an effective method to reduce CC on the country level. On an individual level, usage of energy-saving products was the most-favored option chosen by participants to help in reducing CC (82%). Gender, education level, and place of residence were significant factors affecting knowledge about CC.

Conclusions
Over 50% of the participants were knowledgeable about CC and the role of human activities in CC. Therefore, public awareness campaigns utilizing prominent media such as television and social media should be launched to improve CC literacy. These campaigns should be more directed at males, and people with lower levels of education and who live in rural areas in Ismailia Governorate, Egypt.
Exposure of domestic animals to Mayaro and Oropouche viruses in urban and peri-urban areas of West-Central Brazil
Authors: Dias Helver Gonçalves , Familiar-Macedo Débora , Garrido Ingrid Oliveira , dos Santos Flávia Barreto , Pauvolid-Corrêa Alex 
Published: July 2024

AbstractOropouche and Mayaro viruses are enzootic arboviruses of public health concern throughout Latin America. Recent outbreaks of OROV in northern region and sporadic autochthonous cases in western region of Brazil, suggest a silent circulation of these neglected viruses. Aiming to investigate the exposure of different species of domestic animals to MAYV and OROV in urban and peri-urban areas of West-Central Brazil, we performed a cross-sectional serosurvey by plaque reduction neutralization test (PRNT). Our findings included neutralizing antibodies for both arboviruses in cattle, dogs and horses, suggesting eventual role of domestic animals in enzootic arbovirus surveillance in Brazil.
No evidence of mid-flexion instability after robotic-assisted total knee arthroplasty as assessed by intraoperative pressure sensors
Authors: Armendariz Mateo , Tadros Baha John , Collopy Dermot , Clark Gavin 
Published: July 2024

Abstract
Purpose
Mid-flexion instability has been identified as a cause for dissatisfaction following total knee arthroplasty (TKA). Robotic-assisted surgery using the Mako robot only allows for assessment of stability at 10° and 90°. This study aimed to investigate any evidence of mid-flexion instability in Mako-assisted TKA.

Methods
Data from 72 TKA in 59 patients from 2018 to 2022 were collected. All patients underwent an RA (Mako, Stryker, Fort Lauderdale, FL, USA), single-radius design, cruciate-retaining TKA. Intraoperatively, medial, and lateral pressures were measured at 10°, 45° and 90° of flexion using a pressure sensor (Verasense, OrthoSensor, 59 Inc., Dania Beach, FL, USA). The knee was considered balanced if the difference in pressures between compartments was less than 15 pounds-force (lbf).

Results
There was no significant difference between the pressures measured in the medial compartment at 10°, 45° and 90° of flexion (P = 0.696). A statistically significant difference was found between the pressures measured in the lateral compartment at 10°, 45° and 90° of flexion, with the 10° value being significantly higher (P < 0.001), but this did not exceed the threshold of 15 lbf. None of the patients had a pressure difference of more than 15 lbf when pressures at 45° were compared to that at 10° and 90°, medially or laterally.

Conclusion
This study showed no evidence of mid-flexion instability in Mako-assisted TKA, using a single radius, cruciate-retaining prosthesis whilst maintaining the joint height.

Level of evidence
Level III retrospective cohort study.
Evaluation of pulmonary function in Egyptian children with sickle cell disease: a single center study
Authors: Mostafa Abla S. , Hamed Dina H. , ELSayed Basma B , Kholeif Amina M , Youssry Ilham 
Published: July 2024

Abstract
Background
Among inherited blood diseases, sickle cell disease (SCD) is the most common, and its prevalence is rising worldwide. People with SCD often have abnormal lung function, which can lead to other health problems and a lower quality of life. This study investigated the lung function problems in Egyptian children with SCD.

Methods
Our study is cross-sectional analytic, held in the pediatric pulmonology and hematology specialized clinics of Abulrish Children’s Hospital, Faculty of Medicine, Cairo University. A detailed history was taken; then, patients undergone spirometry.

Results
A total of 60 children in the steady state were recruited, 58% males and 42% females; 73% of the study population was homozygous SS, 22% was SB+thalassemia, and 5% was SB0 with a mean age of 11.4 years. Spirometry done to the patients showed that 17 of the studied 60 sickle cell patients (28%) exhibited impaired pulmonary functions primarily with a restrictive pattern (16.7%).

Conclusion
This study has shown that lung function problems are common in Egyptian children with sickle cell disease (SCD). Restrictive lung disease was predominant in our cohort. Therefore, regular yearly screenings using spirometry might be beneficial for early detection. Additionally, close monitoring by a pediatric lung specialist is recommended.