bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users
Authors: Auchincloss Amy H. , Michael Yvonne L. , Niamatullah Saima , Li Siyu , Melly Steven J. , Pharis Meagan L. , Fuller Daniel 
Published: October 2022

Abstract
Background
There are hundreds of bikeshare programs worldwide, yet few health-related evaluations have been conducted. We enrolled a cohort of new bikeshare members in Philadelphia (Pennsylvania, USA) to assess whether within-person moderate and vigorous physical activity (MVPA) increased with higher use of the program and whether effects differed for vulnerable sub-groups.

Methods
During 2015–2018, 1031 new members completed baseline and one-year follow-up online surveys regarding their personal characteristics and past 7-day MVPA minutes per week (minutes per week with- and without walking). Participants were linked to their bikeshare trips to objectively assess program use. Negative binomial (for continuous outcomes) and multinomial (for categorical outcomes) regression adjusted for person characteristics (socio-demographics, health), weather, biking-infrastructure, and baseline biking.

Results
Participant median age was 30, 25% were of Black or Latino race/ethnicity, and 30% were socioeconomically disadvantaged. By follow-up, personal bike ownership increased and 75% used bikeshare, although most used it infrequently. Per 10 day change in past year (PY) bikeshare use, non-walking MVPA min/wk increased 3% (roughly 6 min/wk, P < 0.014). More days of bikeshare was also associated with change from inactive to more active (odds ratio for ≥ 15 days in PY vs. no bikeshare use 1.80, CI 1.05–3.09, P < 0.03). Results were consistent across vulnerable sub-groups. In general, impacts on MVPA were similar when exposure was personal bike or bikeshare.

Conclusions
Bikeshare facilitated increases in cycling, slightly increased non-walking MVPA, and showed potential for activating inactive adults; however, for larger program impact, members will need to use it more frequently.
High expression of HNRNPR in ESCA combined with 18F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
Authors: Liu Xiao-Yu , Gao Yan , Kui Xue-Yan , Liu Xu-Sheng , Zhang Yao-hua , Zhang Yu , Ke Chang-Bin , Pei Zhi-Jun 
Published: October 2022

Abstract
Background
The aim of this study was to determine the expression and function of heterogeneous nuclear ribonucleoprotein R (HNRNPR) in esophageal carcinoma (ESCA), the correlation between its expression and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computerized tomography scan (PET/CT)-related parameters. We also investigated whether 18F-FDG PET/CT can be used to predict the expression of HNRNPR in ESCA.

Methods
We analyzed patients with ESCA who underwent 18F-FDG PET/CT before surgery, and their tissues were stained with HNRNPR IHC. The associated parameters were derived using the 18F-FDG PET imaging data, and the correlation with the IHC score was evaluated. The Oncomine, TCGA, and GEO datasets were used to investigate HNRNPR expression in the pan- and esophageal cancers, as well as its relationship with N6-methyladenosine (m6A) modification and glycolysis. The R software, LinkedOmics, GeneMANIA, and StringOnline tools were used to perform GO/KEGG, GGI, and PPI analyses on the HNRNPR.

Results
HNRNPR is highly expressed in the majority of pan-cancers, including ESCA, and is associated with BMI, weight, and history of reflux in patients with ESCA. HNRNPR is somewhat accurate in predicting the clinical prognosis of ESCA. HNRNPR expression was positively correlated with SUVmax, SUVmean, and TLG in ESCA (p < 0.05). The combination of these three variables provides a strong predictive value for HNRNPR expression in ESCA. GO/KEGG analysis showed that HNRNPR played a role in the regulation of cell cycle, DNA replication, and the Fannie anemia pathway. The analysis of the TCGA and GEO data sets revealed a significant correlation between HNRNPR expression and m6A and glycolysis-related genes. GSEA analysis revealed that HNRNPR was involved in various m6A and glycolysis related-pathways.

Conclusion
HNRNPR overexpression correlates with 18F-FDG uptake in ESCA and may be involved in the regulation of the cell cycle, m6A modification, and cell glycolysis. 18F-FDG PET/CT-related parameters can predict the diagnostic accuracy of HNRNPR expression in ESCA.
Multi-perspective comparison of the immune microenvironment of primary colorectal cancer and liver metastases
Authors: He Yangsong , Han Yanan , Fan A-hui , Li Danxiu , Wang Boda , Ji Kun , Wang Xin , Zhao Xiaodi , Lu Yuanyuan 
Published: October 2022

Abstract
Background
Liver metastases are a major contributor to the poor immunotherapy response in colorectal cancer patients. However, the distinctions in the immune microenvironment between primary tumors and liver metastases are poorly characterized. The goal of this study was to compare the expression profile of multiple immune cells to further analyze the similarities and differences between the microenvironments of liver metastases and the primary tumor.

Methods
Tissues from 17 patients with colorectal cancer who underwent resection of primary and liver metastases was analyzed using multispectral immunofluorescence. The expression of multiple immune cells (CD8, Foxp3, CD68, CD163, CD20, CD11c, CD66b, CD56, PD-L1, INF-γ, Ki67 and VEGFR-2) in the tumor center (TC), tumor invasive front (< 150 µm from the tumor center, TF) and peritumoral region (≥ 150 µm from the tumor center, PT) was evaluated via comparison. The expression of CD68 and CD163 in different regions was further analyzed based on the cell colocalization method. In addition, different immune phenotypes were studied and compared according to the degree of CD8 infiltration.

Results
The expression trends of 12 markers in the TF and TC regions were basically the same in the primary tumor and liver metastasis lesions. However, in comparison of the TF and PT regions, the expression trends were not identical between primary and liver metastases, especially CD163, which was more highly expressed in the PT region relative to the TF region. In the contrast of different space distribution, the expression of CD163 was higher in liver metastases than in the primary foci. Further analysis of CD68 and CD163 via colocalization revealed that the distribution of macrophages in liver metastases was significantly different from that in the primary foci, with CD68−CD163+ macrophages predominating in liver metastases. In addition, among the three immunophenotypes, CD163 expression was highest in the immune rejection phenotype.

Conclusions
The immune cells found in the primary tumors of colorectal cancer differed from those in liver metastases in terms of their spatial distribution. More immunosuppressive cells were present in the liver metastases, with the most pronounced differential distribution found for macrophages. CD68−CD163+ macrophages may be associated with intrahepatic immunosuppression and weak immunotherapeutic effects.
Treadmill exercise promotes E3 ubiquitin ligase to remove amyloid β and P-tau and improve cognitive ability in APP/PS1 transgenic mice
Authors: Xu Longfei , Li Mingzhe , Wei Aili , Yang Miaomiao , Li Chao , Liu Ran , Zheng Yuejun , Chen Yuxin , Wang Zixi , Wang Kun , Wang Tianhui 
Published: October 2022

AbstractBackgroundModerate physical exercise is conducive to the brains of healthy humans and AD patients. Previous reports have suggested that treadmill exercise plays an anti-AD role and improves cognitive ability by promoting amyloid clearance, inhibiting neuronal apoptosis, reducing oxidative stress level, alleviating brain inflammation, and promoting autophagy–lysosome pathway in AD mice. However, few studies have explored the relationships between the ubiquitin–proteasome system and proper exercise in AD. The current study was intended to investigate the mechanism by which the exercise-regulated E3 ubiquitin ligase improves AD.MethodsBoth wild type and APP/PS1 transgenic mice were divided into sedentary (WTC and ADC) and exercise (WTE and ADE) groups (n = 12 for each group). WTE and ADE mice were subjected to treadmill exercise of 12 weeks in order to assess the effect of treadmill running on learning and memory ability, Aβ plaque burden, hyperphosphorylated Tau protein and E3 ubiquitin ligase.ResultsThe results indicated that exercise restored learning and memory ability, reduced Aβ plaque areas, inhibited the hyperphosphorylation of Tau protein activated PI3K/Akt/Hsp70 signaling pathway, and improved the function of the ubiquitin–proteasome system (increased UCHL-1 and CHIP levels, decreased BACE1 levels) in APP/PS1 transgenic mice.ConclusionsThese findings suggest that exercise may promote the E3 ubiquitin ligase to clear β-amyloid and hyperphosphorylated Tau by activating the PI3K/Akt signaling pathway in the hippocampus of AD mice, which is efficient in ameliorating pathological phenotypes and improving learning and memory ability.
Implementing a school-based HIV prevention program during public health emergencies: lessons learned in The Bahamas
Authors: Deveaux Lynette , Schieber Elizabeth , Cottrell Lesley , Firpo-Triplett Regina , Adderley Richard , MacDonell Karen , Forbes Nikkiah , Wang Bo 
Published: October 2022

Abstract
Background
Natural disasters and public health crises can disrupt communities’ capacities to implement important public health programs. A nationwide implementation of an evidence-based HIV prevention program, Focus on Youth in The Caribbean (FOYC) and Caribbean Informed Parents and Children Together (CImPACT), in The Bahamas was disrupted by Hurricane Dorian and the COVID-19 pandemic, especially in its more remote, Family Islands. We explored the teacher- and school-level factors that affected implementation of the program in these islands during those disruptions.

Methods
Data were collected from 47 Grade 6 teachers and 984 students in 34 government elementary schools during the 2020–2021 school year. Teachers completed a pre-implementation questionnaire to record their characteristics and perceptions that might affect their implementation fidelity and an annual program training workshop. School coordinators and high-performing teachers acting as mentors received additional training to provide teachers with monitoring, feedback, and additional support. Teachers submitted data on their completion of the 9 sessions and 35 core activities of FOYC + CImPACT. The fidelity outcomes were the number of sessions and core activities taught by teachers.

Results
On average, teachers taught 60% of sessions and 53% of core activities. Teachers with “very good” school coordinators (34% of teachers) taught more activities than those with “satisfactory” (43%) or no (34%) school coordinator (27.5 vs. 16.8 vs. 14.8, F = 12.86, P < 0.001). Teachers who had attended online training or both online and in-person training taught more sessions (6.1 vs. 6.2 vs. 3.6, F = 4.76, P < 0.01) and more core activities (21.1 vs. 20.8 vs. 12.6, F = 3.35, P < 0.05) than those who received no training. Teachers’ implementation was associated with improved student outcomes (preventive reproductive health skills, self-efficacy, and intention).

Conclusions
The Hurricane Dorian and the COVID-19 pandemic greatly disrupted education in The Bahamas Family Islands and affected implementation of FOYC + CImPACT. However, we identified several strategies that supported teachers’ implementation following these events. Teacher training and implementation monitoring increased implementation fidelity despite external challenges, and students achieved the desired learning outcomes. These strategies can better support teachers’ implementation of school-based interventions during future crises.
Clinical effect of soft coagulation for air leak treatment during pulmonary lobectomy
Authors: Takahashi Yuki , Maki Ryunosuke , Tsuruta Kodai , Tada Makoto , Arai Wataru , Shindo Yuma , Nakamura Yasuyuki , Miyajima Masahiro , Watanabe Atsushi 
Published: October 2022

Abstract
Background
Soft coagulation using the VIO soft coagulation system is used to treat minor lung air leaks during pulmonary resection in Japan. We previously reported that it has a similar effect as the air leak treatment with fibrin glue. We evaluated the efficacy of soft coagulation using the VIO soft coagulation system for lung air leakage during pulmonary resection.

Methods
Intraoperative air leaks from the interlobar lung parenchyma were observed in 42 of the 283 patients who underwent video-assisted thoracoscopic surgery lobectomy between 2016 and 2018. We retrospectively reviewed these 42 patients who were treated using the VIO soft coagulation system for air leaks. We classified the air leaks in to grades using the Macchiarini scale score and evaluated the surgical outcomes of air leak treatment.

Results
Air leaks from the interlobar lung parenchyma having Macchiarini scale scores 1, 2, and 3 occurred in 8, 17, and 17 patients, respectively. In all the 8 patients with score 1 air leaks (100%), the air leaks could be controlled using the VIO soft coagulation system alone, and none had delayed pneumothorax requiring intervention. Of the score 2 and 3 air leaks, 52.9% and 35.3% were controlled using the VIO soft coagulation system alone, respectively.

Conclusions
Macchiarini scale score 1 air leaks from the interlobar lung parenchyma could be well controlled using the VIO soft coagulation system. Therefore, soft coagulation with this system may be an alternative method for treating minor air leaks during pulmonary resection surgery.
The predictive value of C-reactive protein to albümin ratio for ascending aort progression in patients with ascending aortic diameter of 40–50 mm
Authors: Dolapoglu Ahmet , Avci Eyüp , Kiris Tuncay 
Published: October 2022

AbstractWe aimed to investigate the ability of the C-reactive protein-to-albumin ratio (CAR) to predict ascending aorta progression in patients with 40–50 mm diameter of ascending aortic dilatation. A total of 182 diagnosed patients with ascending aortic diameters of 40–50 mm were enrolled in this study. The study population was divided into tertiles based on yearly ascending aortic growth rate values. Group I (n = 137) was defined as a value in the lower 2 tertiles (ascending aorta growth ≤ 1.00 mm/year), and group II (n = 45) was defined as a value in the third tertile (ascending aorta growth > 1.00 mm/year). Hypertension, chronic obstructive pulmonary disease, positive family history, and CAR were found to be independent risk factors for ascending aorta growth > 1.00 mm/year. The area under the ROC curve (AUC) of CAR was 0.771(95% CI 0.689–0.854) for predicting ascending aorta growth > 1.00 mm/year. In patients with 40–50 mm ascending aneurysms, CAR may be useful to predict ascending aorta progression.
Axonal degeneration and amyloid pathology predict cognitive decline beyond cortical atrophy
Authors: Svenningsson Anna Linnéa , Stomrud Erik , Palmqvist Sebastian , Hansson Oskar , Ossenkoppele Rik 
Published: October 2022

Abstract
Background
Cortical atrophy is associated with cognitive decline, but the association is not perfect. We aimed to identify factors explaining the discrepancy between the degree of cortical atrophy and cognitive decline in cognitively unimpaired elderly.

Methods
The discrepancy between atrophy and cognitive decline was measured using the residuals from a linear regression analysis between change in whole brain cortical thickness over time and change in a cognitive composite measure over time in 395 cognitively unimpaired participants from the Swedish BioFINDER study. We tested for bivariate associations of this residual measure with demographic, imaging, and fluid biomarker variables using Pearson correlations and independent-samples t-tests, and for multivariate associations using linear regression models. Mediation analyses were performed to explore possible paths between the included variables.

Results
In bivariate analyses, older age (r = −0.11, p = 0.029), male sex (t = −3.00, p = 0.003), larger intracranial volume (r = −0.17, p < 0.001), carrying an APOEe4 allele (t = −2.71, p = 0.007), larger white matter lesion volume (r = −0.16, p = 0.002), lower cerebrospinal fluid (CSF) β-amyloid (Aβ) 42/40 ratio (t = −4.05, p < 0.001), and higher CSF levels of phosphorylated tau (p-tau) 181 (r = −0.22, p < 0.001), glial fibrillary acidic protein (GFAP; r = −0.15, p = 0.003), and neurofilament light (NfL; r = −0.34, p < 0.001) were negatively associated with the residual measure, i.e., associated with worse than expected cognitive trajectory given the level of atrophy. In a multivariate analysis, only lower CSF Aβ42/40 ratio and higher CSF NfL levels explained cognition beyond brain atrophy. Mediation analyses showed that associations between the residual measure and APOEe4 allele, CSF Aβ42/40 ratio, and CSF GFAP and p-tau181 levels were mediated by levels of CSF NfL, as were the associations with the residual measure for age, sex, and WML volume.

Conclusions
Our results suggest that axonal degeneration and amyloid pathology independently affect the rate of cognitive decline beyond the degree of cortical atrophy. Furthermore, axonal degeneration mediated the negative effects of old age, male sex, and white matter lesions, and in part also amyloid and tau pathology, on cognition over time when accounting for cortical atrophy.
Treatment-related hemophagocytic lymphohistiocytosis due to atezolizumab: a case report and review of the literature
Authors: Rubio-Perez Jaime , Rodríguez-Perez Ángel Ricardo , Díaz-Blázquez María , Moreno-García Victor , Dómine-Gómez Manuel 
Published: October 2022

Abstract
Background
Immune checkpoint inhibitors avoid inhibition of T-cell responses, upregulating antitumor immune response. Moreover, a dysregulation with hyperactive immune response can be caused, some of them underdiagnosed. Hemophagocytic lymphohistiocytosis is a rare and often fatal syndrome of uncontrolled and ineffective hyperinflammatory response that triggers an inflammatory cascade that can lead in many cases to death.

Case presentation
We report the case of a 67-year-old Caucasian man with stage IV lung adenocarcinoma who developed hemophagocytic lymphohistiocytosis after initiation of atezolizumab, an antagonist of programmed death-ligand 1. Even with early diagnosis and proper treatment, death occurs in approximately half of all cases reported.

Conclusion
Key markers are needed to better identify patients at risk of developing severe immune-related adverse events. In addition to key markers, a higher degree of suspicion and early intervention are needed to improve outcomes in acquired hemophagocytic lymphohistiocytosis, especially with the increasingly and expanding use of immune activation.
Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle
Authors: Picault Sébastien , Ezanno Pauline , Smith Kristen , Amrine David , White Brad , Assié Sébastien 
Published: October 2022

AbstractBovine respiratory disease (BRD) dramatically affects young calves, especially in fattening facilities, and is difficult to understand, anticipate and control due to the multiplicity of factors involved in the onset and impact of this disease. In this study we aimed to compare the impact of farming practices on BRD severity and on antimicrobial usage. We designed a stochastic individual-based mechanistic BRD model which incorporates not only the infectious process, but also clinical signs, detection methods and treatment protocols. We investigated twelve contrasted scenarios which reflect farming practices in various fattening systems, based on pen sizes, risk level, and individual treatment vs. collective treatment (metaphylaxis) before or during fattening. We calibrated model parameters from existing observation data or literature and compared scenario outputs regarding disease dynamics, severity and mortality. The comparison of the trade-off between cumulative BRD duration and number of antimicrobial doses highlighted the added value of risk reduction at pen formation even in small pens, and acknowledges the interest of collective treatments for high-risk pens, with a better efficacy of treatments triggered during fattening based on the number of detected cases.
An enhanced ACO-based mobile sink path determination for data gathering in wireless sensor networks
Authors: Wu Zhou , Wan Gang 
Published: October 2022

AbstractBy facilitating the data delivery in wireless sensor networks, the movement of mobile sink can enhance the network connectivity and sensory coverage. However, the optimal path determination of mobile sink is a NP-hard optimization problem. By jointly considering the cluster-based routing and sink mobility, this paper proposes an enhanced ACO-based movement scheduling of mobile sink for data gathering in wireless sensor networks. To meet the delay requirements and balance the energy consumption of the sensor nodes, the optimal cluster heads selection is introduced. Then, an enhanced ACO-based movement scheduling algorithm is proposed to obtain the shortest path of mobile sink by traversing the network. The simulation results show that our proposed method can offer a promising performance in terms of reducing data delivery latency and extending the lifetime of the network.
Anomaly detection in multi-tiered cellular networks using LSTM and 1D CNN
Authors: Oğuz Hasan Tahsin , Kalaycıoğlu Aykut 
Published: October 2022

AbstractSelf-organizing networks (SONs) are considered as one of the key features for automation of network management in new generation of mobile communications. The upcoming fifth-generation mobile networks and beyond are likely to offer new advancements for SON solutions. In SON concept, self-healing is a prominent task which comes along with cell outage detection and cell outage compensation. Next-generation cellular networks are supposed to have ultra-dense deployments which make cell outage detection critical and harder for network maintenance. Therefore, by imitating the ultra-dense multi-tiered scenarios, this study scrutinizes femtocell outage detection with the help of long short-term memory and one-dimensional convolutional neural networks by using time sequences of key performance indicator parameters generated in user equipment. In both the proposed schemes, probable outage-related anomalies in femto access points (FAP) are detected and classified within predetermined time sequence intervals. Moreover, aggregation decision methods are also incorporated into the proposed framework for boosting cell outage detection procedure on FAP level. Our findings show that proposed deep learning approaches outperform existing feed-forward neural networks, and on the average, in more than 80% of the cases the outage states of the femtocells are correctly predicted among healthy and three anomalous states.