bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal [18F]FDG-PET/CT analysis of the glucose metabolism in ApoE-deficient mice
Authors: Kuhla Angela , Meuth Lou , Stenzel Jan , Lindner Tobias , Lappe Chris , Kurth Jens , Krause Bernd J. , Teipel Stefan , Glass Änne , Kundt Guenther , Vollmar Brigitte 
Published: October 2020

Abstract
Background
Strong line of evidence suggests that the increased risk to develop AD may at least be partly mediated by cholesterol metabolism. A key regulator of cholesterol transport is the Apolipoprotein E4 (ApoE4), which plays a fundamental role in neuronal maintenance and repair. Impaired function of ApoE4 may contribute to altered cerebral metabolism leading to higher susceptibility to neurodegeneration.

Methods
To determine a possible link between ApoE function and alterations in AD in the brain of Apolipoprotein E-deficient mice (ApoE−/−) in a longitudinal manner metabolic and neurochemical parameters were analyzed. Cortical metabolism was measured by 2-deoxy-2-[18F]fluoroglucose ([18F]FDG)-PET/CT and proton magnetic resonance spectroscopy (1H-MRS) served to record neurochemical status.

Results
By using [18F]FDG-PET/CT, we showed that brain metabolism declined significantly stronger with age in ApoE−/− versus wild type (wt) mice. This difference was particularly evident at the age of 41 weeks in almost each analyzed brain region. In contrast, the 1H-MRS-measured N-acetylaspartate to creatine ratio, a marker of neuronal viability, did not decline with age and did not differ between ApoE−/− and wt mice.

Conclusion
In summary, this longitudinal in vivo study shows for the first time that ApoE−/− mice depict cerebral hypometabolism without neurochemical alterations.
Optimization of unmanned aerial vehicle augmented ultra-dense networks
Authors: Zamani Alireza , Kämmer Robert , Hu Yulin , Schmeink Anke 
Published: October 2020

AbstractIn this paper, we study the integration of unmanned aerial vehicle small cells (UAV-SCs) for the purpose of augmenting or temporarily restoring service to an ultra-dense cellular network. The aim is to minimize the overall power consumption of the network by jointly optimizing the number of UAV-SCs, their placement, associations, and the power allocation, subject to user QoS (quality of service), transmit power, and fronthaul capacity constraints. As the resulting optimization problem is non-convex and computationally inefficient to solve, we investigate lower complexity alternatives. By reformulating the original problem, a linear structure can be obtained that is efficiently solved by off-the-shelf solvers. Furthermore, we also propose a meta-heuristic method that is based on particle swarm optimization. The performance of the proposed methods is evaluated via simulation studies and compared to state-of-the-art techniques. The results illustrate that the proposed methods consistently outperform conventional techniques by deploying fewer UAV-SCs and also lowering the transmit powers. Furthermore, considerable power savings were observed particularly for low QoS demands and dense scenarios.
Time-ResNeXt for epilepsy recognition based on EEG signals in wireless networks
Authors: Wang Shaoqiang , Wang Shudong , Zhang Song , Wang Yifan 
Published: October 2020

AbstractTo automatically detect dynamic EEG signals to reduce the time cost of epilepsy diagnosis. In the signal recognition of electroencephalogram (EEG) of epilepsy, traditional machine learning and statistical methods require manual feature labeling engineering in order to show excellent results on a single data set. And the artificially selected features may carry a bias, and cannot guarantee the validity and expansibility in real-world data. In practical applications, deep learning methods can release people from feature engineering to a certain extent. As long as the focus is on the expansion of data quality and quantity, the algorithm model can learn automatically to get better improvements. In addition, the deep learning method can also extract many features that are difficult for humans to perceive, thereby making the algorithm more robust. Based on the design idea of ResNeXt deep neural network, this paper designs a Time-ResNeXt network structure suitable for time series EEG epilepsy detection to identify EEG signals. The accuracy rate of Time-ResNeXt in the detection of EEG epilepsy can reach 91.50%. The Time-ResNeXt network structure produces extremely advanced performance on the benchmark dataset (Berne-Barcelona dataset) and has great potential for improving clinical practice.
TMaR: a two-stage MapReduce scheduler for heterogeneous environments
Authors: Maleki Neda , Faragardi Hamid Reza , Rahmani Amir Masoud , Conti Mauro , Lofstead Jay 
Published: October 2020

AbstractIn the context of MapReduce task scheduling, many algorithms mainly focus on the scheduling of Reduce tasks with the assumption that scheduling of Map tasks is already done. However, in the cloud deployments of MapReduce, the input data is located on remote storage which indicates the importance of the scheduling of Map tasks as well. In this paper, we propose a two-stage Map and Reduce task scheduler for heterogeneous environments, called TMaR. TMaR schedules Map and Reduce tasks on the servers that minimize the task finish time in each stage, respectively. We employ a dynamic partition binder for Reduce tasks in the Reduce stage to lighten the shuffling traffic. Indeed, TMaR minimizes the makespan of a batch of tasks in heterogeneous environments while considering the network traffic. The simulation results demonstrate that TMaR outperforms Hadoop-stock and Hadoop-A in terms of makespan and network traffic and achieves by an average of 29%, 36%, and 14% performance using Wordcount, Sort, and Grep benchmarks. Besides, the power reduction of TMaR is up to 12%.
Right ventricular stroke volume assessed by pulmonary artery pulse contour analysis
Authors: Berger David , Hobi Jan , Möller Per W. , Haenggi Matthias , Takala Jukka , Jakob Stephan M. 
Published: October 2020

Abstract
Background
Stroke volume measurement should provide estimates of acute treatment responses. The current pulse contour method estimates left ventricle stroke volume. Heart-lung interactions change right ventricular stroke volume acutely. We investigated the accuracy, precision, and trending abilities of four calibrated stroke volume estimates based on pulmonary artery pulse contour analysis.

Results
Stroke volume was measured in 9 pigs with a pulmonary artery ultrasound flow probe at 5 and 10 cmH2O of PEEP and three volume states (baseline, bleeding, and retransfusion) and compared against stroke volume estimates of four calibrated pulmonary pulse contour algorithms based on pulse pressure or pressure integration. Bland-Altman comparison with correction for multiple measurements and trend analysis were performed. Heart rate and stroke volumes were 104 ± 24 bpm and 30 ± 12 mL, respectively. The stroke volume estimates had a minimal bias: − 0.11 mL (95% CI − 0.55 to 0.33) to 0.32 mL (95% CI − 0.06 to 0.70). The limits of agreement were − 8.0 to 7.8 mL for calibrated pulse pressure to − 10.4 to 11.5 mL for time corrected pressure integration, resulting in a percentage error of 36 to 37%. The calibrated pulse pressure method performed best. Changes in stroke volume were trended very well (concordance rates 73–100%, r2 0.26 to 0.987, for pulse pressure methods and 71–100%, r2 0.236 to 0.977, for integration methods).

Conclusions
Pulmonary artery pulse contour methods reliably detect acute changes in stroke volume with good accuracy and moderate precision and accurately trend short-term changes in cardiac output over time.
Gamifying learning for learners
Authors: Dichev Christo , Dicheva Darina , Irwin Keith 
Published: October 2020

AbstractThe majority of user models in gamification are based on user’s gamer personality. However, the motivations driving individuals’ learning behavior differ from their motivations when playing. There is no evidence that learners’ experiences in gamified activities are described by these models. Thus, an alternative model capturing learners’ motivational experiences and relating them to the motivational mechanisms of gamification design is needed. To fill this gap we propose a context-specific typology which groups learners based on their type of motivation and perceived ability associated with a learning activity. The purpose of this proposal is to provide a framework for connecting each learner’s type to a set of motivational affordances to which that type is susceptible. Facilitating the task of selecting motivational affordances matching learner’s type aids the design of customized gamified learning.
Physical activity in established rheumatoid arthritis and variables associated with maintenance of physical activity over a seven-year period – a longitudinal observational study
Authors: Bremander Ann , Malm Karina , Andersson Maria L. ,   on behalf of the BARFOT study group
Published: October 2020

Abstract
Background
A large number of patients with RA do not adhere to the recommended levels of physical activity to enhance health. According to EULAR recommendations, physical activity should be part of standard care in people with rheumatic diseases. There have been few larger studies on maintenance of physical activity over longer periods of time. The aim was to study self-reported physical activity levels over 7 years in patients with established rheumatoid arthritis (RA). In addition, to determine variables associated with maintenance or change of physical activity behavior.

Methods
Questionnaires were sent to the BARFOT cohort in 2010 (n = 1525) and in 2017 (n = 1046), and 950 patients responded to both questionnaires. Patients were dichotomized according to meeting MVPA recommendations (physically active at a moderate level ≥ 150 min/week or at an intense level ≥ 75 min/week) or not. Body mass index, smoking habits, tender joint count (TJC), swollen joint count (SJC), Patient Global Assessment (PatGA), pain intensity and distribution, fatigue, physical function (HAQ), health-related quality of life (EQ. 5D), comorbidities, and medical treatment were assessed. We used logistic regression analysis to study variables associated with maintenance and/or change of MVPA behavior.

Results
Forty-one per cent (n = 389) of the patients met MVPA recommendations on both occasions. Patients who met MVPA recommendations over 7 years were younger and a higher proportion were never-smokers. There was a negative association with being overweight or obese, having cardiovascular or pulmonary diseases, pain, fatigue, and physical function, whereas there was a positive association between QoL and maintaining MVPA recommendations. Similar factors were positively associated with a deterioration in physical activity level over time.

Conclusions
Maintenance of physical activity over a long period of time is challenging for patients with established RA. Reports of high quality of life supported maintenance of physical activity while disease related and unhealthy lifestyle factors had a negative effect. Health professionals should consider the patient’s standpoint when encouraging maintenance of physical activity, preferably using coordinated lifestyle interventions.
Cystic neutrophilic granulomatous mastitis during chemotherapy treatment for invasive breast carcinoma – a rare lesion that simulates tumor progression
Authors: de Freitas Juliana Ribeiro , de Souza Maiara Ferreira , Lopes Mayana , Bitencourt Larissa , Athanazio Daniel Abensur 
Published: October 2020

Abstract
Background
Cystic neutrophilic granulomatous mastitis (CNGM) is an uncommon and recently described pattern of granulomatous mastitis. To our knowledge, no cases have been described during chemotherapy for invasive breast cancer.

Case presentation
A 42-year-old female patient had a diagnosis of invasive breast carcinoma (3-cm nodule). During neoadjuvant chemotherapy, she presented with an enlargement of the breast nodule that measured 7.0-cm on palpation. The lesion did not show typical inflammatory clinical findings and simulated tumor progression. A core biopsy showed granulomas with pseudocystic spaces with gram-positive bacilli (Corynebacterium sp.), and numerous circumjacent neutrophils. She was treated with antibiotics and resumed chemotherapy. Surgical specimen showed a 1.0-cm residual carcinoma and extensive xanthogranulomatous inflammation with no evidence of residual CNGM.

Conclusion
CNGM is usually associated with typical clinical presentation of mastitis. It is an important pattern of granulomatous inflammation to be recognized in the breast since it directly impacts treatment. The present case highlights its potential occurrence during chemotherapy treatment of breast cancer mimicking progression of breast malignancy.
A comparative study between effect of combined intravenous and nebulized amikacin versus intravenous amikacin alone in mechanically ventilated patients with ventilator-associated pneumonia (VAP)
Authors: El Fawy Dalia M. , Ibrahim Azza Yousef , Abdulmageed Ahmed Mostafa Mohamed , El Seddek Eman Abo Bakr 
Published: October 2020

Abstract
Background
Aerosolized antibiotic administration offers the theoretical advantages of achieving high drug concentrations at the infection site together with lower systemic absorption. This study aims to compare the effect of combining nebulized amikacin with intravenous amikacin to the effect of the usual intravenous route alone in the treatment of patients with ventilator-associated pneumonia and its impact on the duration of mechanical ventilation, laboratory, and clinical picture of the patients.

Results
This study was carried out on 64 mechanically ventilated patients with Gram-negative VAP. The patients were divided into 2 groups. Group A included 32 patients treated with nebulized amikacin plus IV amikacin, and group B included 32 patients treated with IV amikacin alone. The duration of treatment for both groups was 8 days with a daily assessment of Clinical Pulmonary Infection Score (CPIS) and monitoring of clinical and laboratory parameters. Sputum cultures were obtained thereafter. In our study, the CPIS score and overall ICU mortality were less in the nebulized than in the IV group but the difference failed to be statistically significant. Increase of oxygenation level (Pao2/Fio2 ratio), organism clearance, decrease in serum creatinine level, duration of mechanical ventilation, and length of ICU stay were significantly different in favor of group A than group B.

Conclusion
Nebulized and IV amikacin offered better oxygenation, organism clearance, less nephrotoxicity, and less duration of mechanical ventilation and ICU stay than the IV group. Combined and IV routes were comparable regarding the decrease in CPIS score and ICU mortality with no significant difference between them. However, we prefer to use the combined regimen for the mentioned reasons. Further large-scale studies are required to confirm these findings and to establish a definite conclusion.
Can an AI learn political theory?
Authors: DeCanio Stephen J. 
Published: October 2020

AbstractAlan Turing’s 1950 paper, “Computing Machinery and Intelligence,” contains much more than its proposal of the “Turing Test.” Turing imagined the development of what we today call AI by a process akin to the education of a child. Thus, while Turing anticipated “machine learning,” his prescience brings to the foreground the yet unsolved problem of how humans might teach or shape AIs to behave in ways that align with moral standards. Part of the teaching process is likely to entail AIs’ absorbing lessons from human writings. Natural language processing tools are one of the ways computer systems extract knowledge from texts. An example is given of how one such technique, Latent Dirichlet Allocation, can draw out the most prominent themes from works of classical political theory.
Detection of additional primary malignant tumor in cancer survivors: the use of PET/CT for image-guided biopsy
Authors: Shaban Ekhlas , Saleh Rasha 
Published: October 2020

Abstract
Background
PET/CT is a well-established tool in the diagnostic workup of oncology patients. With the advance in diagnosis and therapy of oncology patients, survivors are at risk of developing additional malignancies. This study aimed to evaluate the yield of 18F-FDG PET/CT in biopsy guidance for the detection of unexpected additional primary malignancies in patients with known primary cancers. Medical records of patients underwent 18F-FDG PET/CT scans from July 2015 to December 2017 were reviewed, and 644 patients (346 men and 298 women; mean age 59.7, age range from 21: 78) who had been scanned for known cancers were included in this study. Lesions that were newly detected on PET/CT had not been previously detected by other modalities and were atypical in location for metastases were interpreted as suggestive of a new primary malignant tumor. These image findings guide the biopsy for histopathology, immune-histochemistry to confirm the diagnosis.

Results
PET-positive findings suggestive of new primary malignant tumors were found in 30 (4.67%) of 644 patients. In 21 (3.26%) of 644 patients, these lesions were pathologically proven to be malignant (20 true positive and 1 case false negative). Proven sites were lung (5 cases), colorectal (5 cases), breast (2 case), liver (2 cases), head and neck (2 cases), anal (1 cases), gastric (1 case), lymphoma (1 case), esophagus (1 case), and prostate (1 case). In 9/30 (30%) patients suspected to have additional primary, PET was falsely positive. Biopsy was taken for histology and immune-histochemistry with follow-up record that confirms the diagnosis to validate the PET/CT findings.

Conclusions
With the use of 18-F FDG PET/CT image- guided biopsy, additional primary malignancies were detected in at least 3.26% of oncology patients; thus, patient cure is possible if such malignancies are treated promptly and aggressively.
Level of awareness of dentists about the role of physiotherapy in temporomandibular disorders: a pilot study in Riyadh, Saudi Arabia
Authors: Shaheen Afaf A. M. , Alhajri Hajar , Alrajeeb Noura , Almoammar Ruba , Alyousef Arwa , Buragadda Syamala , Melam Ganeswararao 
Published: October 2020

Abstract
Background
Physiotherapy (PT) is a distinguished developing profession. It has a crucial role in treating temporomandibular disorders (TMD) as an effective intervention to reduce pain and improve TMD symptoms. Not all dentists are aware of the importance of collaboration with physiotherapists (PTs).Therefore, this study aimed to assess the level of dentists’ awareness about the role of PT in treating TMD, identify dentists’ willingness to collaborate with PTs, and create collaboration awareness. This cross-sectional study included Saudi dentists in Riyadh. An online survey was used to assess dentist’s awareness and their readiness to collaborate with PTs.

Results
Out of 1500 dentists, only 162 participated in the survey. About 46.9% of dentists were aware that PT can treat TMD. Generally, there was lack of awareness about the benefits of PT among dentists (61.8%), and 59.9% was not aware that the evidence suggested that PT can improve TMD symptoms. Only 29% referred patients to PT. Upon the completion of the survey, almost all dentists (97.5%) were likely to refer patients with TMD to PT, and 90.7% of them showed interest to learn more about collaborating with PTs.

Conclusion
The study concluded that, although 46.9% of the dentists are aware about the role of PT in treating TMD, there is a lack of awareness about the benefits of PT among the majority of them. The study helped to extend the awareness of surveyed dentists about the collaboration and multidisciplinary approach.
Modeling the pedagogical support of self-development of adolescents in additional education based on a reflective-value approach
Authors: Ivanova Irina 
Published: October 2020

Changes in the social and educational situation in the country actualized the development of subject-oriented models of pedagogical support for students, the search for effective ways to solve the aggravated problem of creating conditions for students' self-development. In modern school curricula, as well as in the system of additional education, there are practically no special classes on the construction and implementation of self-development projects by adolescents. The article proposes a model of pedagogical support for the self-development of adolescents in additional education, methodologically based on a reflective-value approach developed in the framework of the scientific school of M.I. Rozhkov, and technology-based on the development by adolescents of individual routes of self-development. The presented model can be considered as a pedagogical product and an educational resource that allows to solve a whole range of problems, based on the personal and social needs of both adolescents themselves and society as a whole. The implementation of the presented model involves the alignment of the educational process in further education with a focus on the self-development of students, while support is considered as a process of pedagogical interaction between teachers and students.
Acknowledgments: The reported study was funded by RFBR, project number 20-013-00616.
Monitoring with Limited Information
Authors: Iancu Dan Andrei , Trichakis Nikolaos , Yoon Do Young 
Published: October 2020

We consider a system with an evolving state that can be stopped at any time by a decision maker (DM), yielding a state-dependent reward. The DM does not observe the state except for a limited number of monitoring times, which he must choose, in conjunction with a suitable stopping policy, to maximize his reward. Dealing with these types of stopping problems, which arise in a variety of applications from healthcare to finance, often requires excessive amounts of data for calibration purposes and prohibitive computational resources. To overcome these challenges, we propose a robust optimization approach, whereby adaptive uncertainty sets capture the information acquired through monitoring. We consider two versions of the problem—static and dynamic—depending on how the monitoring times are chosen. We show that, under certain conditions, the same worst-case reward is achievable under either static or dynamic monitoring. This allows recovering the optimal dynamic monitoring policy by resolving static versions of the problem. We discuss cases when the static problem becomes tractable and highlight conditions when monitoring at equidistant times is optimal. Lastly, we showcase our framework in the context of a healthcare problem (monitoring heart-transplant patients for cardiac allograft vasculopathy), where we design optimal monitoring policies that substantially improve over the status quo recommendations. This paper was accepted by Chung Piaw Teo, optimization.
Undergraduate paramedics' understanding of mental health insight placements
Authors: Green Anita , Pound Amy 
Published: October 2020

Aims: Paramedics are often patients' first point of contact during mental health crises, and are increasingly responding to mental health emergencies. Paramedic training focuses predominantly on trauma and emergency physical healthcare rather than mental health difficulties. A UK-based pilot evaluation study aimed to find out whether providing mental health ‘insight’ placements for paramedic students in a local mental health trust would improve their understanding of patients with mental health issues, particularly from working alongside mental health practitioners. Methods: A pre- and post-experience questionnaire was used to elicit the students' understanding of mental health. Conclusion: The tentative conclusion is that the placement increased students' understanding of mental health services and mental health patients' needs, and they gained a greater understanding of mental health concepts. Being in direct contact with mental health colleagues in practice ensured that they could link mental health theory learned as part of their degree to their experience and gain insight into multiprofessional working.