bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of continuous care model on sleep quality in postmenopausal women: a randomized clinical trial study
Authors: Akbari Farzaneh , Heydarpour Sousan , Salari Nader 
Published: September 2022

Introduction and Objective Sleep disorder leads to several mental, physical, and behavioral complications. Through continuous care model, it is possible to achieve an efficient recognition of the problems of these patients and allow them to participate in solving their health issues. The effects of continuous care model on sleep quality in postmenopausal women were examined.
Material and Methods Totally, 110 postmenopausal women visiting health center in Kermanshah, Iran took part in this clinical trial. The participants were selected between May 2017 and September 2017. The participants were allocated to control and experimental groups randomly each with 55 members. The normal cares were provided to the control group, while the experimental groups took part in group consultation sessions (once every week, four session each 60-90min). Quality of sleep was examined based on Pittsburg sleep quality index before the intervention, immediately after the intervention, and a month flowing the completion of the intervention. For data analyzing, Friedman’s test, Mann-Whitney test, and chi-square test were used in SPSS.
Results A significant difference was found in the mean scores of the quality of sleep in the experimental group in three measurements occasions in the study (p=0.001). Despite lack of any significant difference before the intervention between the two groups, there was a significant decrease in the sleep quality score in the experimental group one month after the completion of the intervention compared to the control group (p<0.05).
Conclusion The continuous care model improved the sleep quality in the postmenopausal women.
Identifying resilience-promoting factors for refugee survivors of torture
Authors: Phyu Pannu  , Burt Keith , Fondacaro Karen 
Published: September 2022

Introduction: There are 1.3 million refugee survivors of torture currently living in the United States today. While a substantial body of research has been growing on refugee mental health, few studies have focused on refugee resilience.
Objective: The current study focuses on a clinical sample of refugee survivors of torture to examine resilience-promoting factors, including community engagement, employment, English fluency, and psychological flexibility. Specifically, our study conducted moderation and mediation analyses to better understand how these resilience-promoting factors impact the torture-mental health relationship.
Results: Findings showed that torture severity was significantly and positively associated with all mental health symptoms, and psychological flexibility was significantly and negatively associated with all mental health symptoms, including PTSD, depression, and anxiety. Psychological flexibility also emerged as a significant mediator of the torture-mental health relationship, such that individuals with a history of greater torture severity reported higher mental health symptoms via lower psychological flexibility. Additionally, English fluency and employment, but not community engagement, showed significant negative correlations with mental health symptoms. However, resilience-promoting factors did not interact with torture severity to predict mental health symptoms.
Conclusion: The findings from this study identified variables that may have a meaningful impact on the mental health of refugee survivors of torture and provide insights and implications in treating this population from resilience-oriented clinical frameworks.
Super‐resolution of brain tumor MRI images based on deep learning
Authors: Zhou Zhiyi , Ma Anbang , Feng Qiuting , Wang Ran , Cheng Lilin , Chen Xin , Yang Xi , Liao Keman , Miao Yifeng , Qiu Yongming 
Published: September 2022

AbstractIntroductionTo explore and evaluate the performance of MRI‐based brain tumor super‐resolution generative adversarial network (MRBT‐SR‐GAN) for improving the MRI image resolution in brain tumors.MethodsA total of 237 patients from December 2018 and April 2020 with T2‐fluid attenuated inversion recovery (FLAIR) MR images (one image per patient) were included in the present research to form the super‐resolution MR dataset. The MRBT‐SR‐GAN was modified from the enhanced super‐resolution generative adversarial networks (ESRGAN) architecture, which could effectively recover high‐resolution MRI images while retaining the quality of the images. The T2‐FLAIR images from the brain tumor segmentation (BRATS) dataset were used to evaluate the performance of MRBT‐SR‐GAN contributed to the BRATS task.ResultsThe super‐resolution T2‐FLAIR images yielded a 0.062 dice ratio improvement from 0.724 to 0.786 compared with the original low‐resolution T2‐FLAIR images, indicating the robustness of MRBT‐SR‐GAN in providing more substantial supervision for intensity consistency and texture recovery of the MRI images. The MRBT‐SR‐GAN was also modified and generalized to perform slice interpolation and other tasks.ConclusionsMRBT‐SR‐GAN exhibited great potential in the early detection and accurate evaluation of the recurrence and prognosis of brain tumors, which could be employed in brain tumor surgery planning and navigation. In addition, this technique renders precise radiotherapy possible. The design paradigm of the MRBT‐SR‐GAN neural network may be applied for medical image super‐resolution in other diseases with different modalities as well.
Metal–Organic Frameworks and Their Composites for Environmental Applications
Authors: Zhang Qian , Yang Hui , Zhou Ting , Chen Xudong , Li Wenting , Pang Huan 
Published: September 2022

AbstractFrom the point of view of the ecological environment, contaminants such as heavy metal ions or toxic gases have caused harmful impacts on the environment and human health, and overcoming these adverse effects remains a serious and important task. Very recent, highly crystalline porous metal–organic frameworks (MOFs), with tailorable chemistry and excellent chemical stability, have shown promising properties in the field of removing various hazardous pollutants. This review concentrates on the recent progress of MOFs and MOF‐based materials and their exploit in environmental applications, mainly including water treatment and gas storage and separation. Finally, challenges and trends of MOFs and MOF‐based materials for future developments are discussed and explored.
Involvement of SLC16A1/MCT1 and SLC16A3/MCT4 in l‐lactate transport in the hepatocellular carcinoma cell line
Authors: Mukai Yuto , Yamaguchi Atsushi , Sakuma Tomoya , Nadai Takanobu , Furugen Ayako , Narumi Katsuya , Kobayashi Masaki 
Published: September 2022

AbstractFourteen isoforms of the monocarboxylate transporter (MCT) have been reported. Among the MCT isoforms, MCT1, MCT2, and MCT4 play a role in l‐lactate/proton cotransport and are involved in the balance of intracellular energy and pH. Therefore, MCT1, MCT2, and MCT4 are associated with energy metabolism processes in normal and pathological cells. In the present study, we evaluated the expression of MCT1, MCT2, and MCT4 and the contribution of these three MCT isoforms to l‐lactate uptake in hepatocellular carcinoma (HCC) cells. In HepG2 and Huh‐7 cells, l‐lactate transport was pH‐dependent, which is characteristic of MCT1, MCT2, and MCT4. Furthermore, l‐lactate uptake was selectively inhibited by MCT1 and MCT4 inhibitors in HepG2 and Huh‐7 cells. Kinetic analysis of HepG2 cells demonstrated that l‐lactate uptake was biphasic. Although the knockdown of MCT1 and MCT4 in the HepG2 cells decreased the uptake of l‐lactate, the knockdown of MCT2 had no effect on the uptake of l‐lactate. Consequently, we concluded that both MCT1 and MCT4 were involved in the transport of l‐lactate in HepG2 and Huh‐7 cells at pH 6.0. In contrast, PXB‐cells, freshly isolated hepatocytes from humanized mouse livers, showed lower MCT4 expression and l‐lactate uptake at pH 6.0 compared to that in HCC cell lines. In conclusion, MCT4, which contributes to l‐lactate transport in HCC cells, is significantly different in HCC compared to normal hepatocytes, and has potential as a target for HCC treatment.
Synthesis of the C1‐C18 fragment of Neaumycin B
Authors: Pyun Yu Mi , In Cho Su , Lee Seung Ju , Lee Duck Hyung 
Published: September 2022

AbstractStereoselective synthesis of the C1–C18 fragment 2 of Neaumycin B (1), 28‐membered macrolide compound with 19‐chiral centers and 6,6‐spiroketal structure, has been described. Brown syn‐crotylation and olefin metathesis reaction were used as key steps from (R)‐roche ester in the synthesis of C8–C18 fragment 3. C1–C7 fragment 4 was constructed from 1,3‐propanediol using diastereoselective allylation, syn‐aldol reaction, and olefin metathesis reaction as key steps. Finally, NHK reaction and (S)‐CBS reduction as key steps led to the of synthesis of C1–C18 fragment 2 of Neaumycin B (1).
Shape analysis of subcortical structures in obsessive‐compulsive disorder and the relationship with comorbid anxiety, depression, and medication use: A meta‐analysis by the OCD Brain Imaging Consortium
Authors: Fouche Jean‐Paul , Groenewold Nynke A. , Sevenoaks Tatum , Heany Sarah , Lochner Christine , Alonso Pino , Batistuzzo Marcelo C. , Cardoner Narcis , Ching Christopher R. K. , de Wit Stella J. , Gutman Boris , Hoexter Marcelo Q. , Jahanshad Neda , Kim Minah , Kwon Jun Soo , Mataix‐Cols David , Menchon Jose M. , Miguel Euripedes C. , Nakamae Takashi , Phillips Mary L. , Pujol Jesus , Sakai Yuki , Yun Je‐Yeon , Soriano‐Mas Carles , Thompson Paul M. , Yamada Kei , Veltman Dick J. , van den Heuvel Odile A. , Stein Dan J. 
Published: September 2022

AbstractObjectiveNeuroimaging studies of obsessive‐compulsive disorder (OCD) patients have highlighted the important role of deep gray matter structures. Less work has however focused on subcortical shape in OCD patients.MethodsHere we pooled brain MRI scans from 412 OCD patients and 368 controls to perform a meta‐analysis utilizing the ENIGMA‐Shape protocol. In addition, we investigated modulating effects of medication status, comorbid anxiety or depression, and disease duration on subcortical shape.ResultsThere was no significant difference in shape thickness or surface area between OCD patients and healthy controls. For the subgroup analyses, OCD patients with comorbid depression or anxiety had lower thickness of the hippocampus and caudate nucleus and higher thickness of the putamen and pallidum compared to controls. OCD patients with comorbid depression had lower shape surface area in the thalamus, caudate nucleus, putamen, hippocampus, and nucleus accumbens and higher shape surface area in the pallidum. OCD patients with comorbid anxiety had lower shape surface area in the putamen and the left caudate nucleus and higher shape surface area in the pallidum and the right caudate nucleus. Further, OCD patients on medication had lower shape thickness of the putamen, thalamus, and hippocampus and higher thickness of the pallidum and caudate nucleus, as well as lower shape surface area in the hippocampus and amygdala and higher surface area in the putamen, pallidum, and caudate nucleus compared to controls. There were no significant differences between OCD patients without co‐morbid anxiety and/or depression and healthy controls on shape measures. In addition, there were also no significant differences between OCD patients not using medication and healthy controls.ConclusionsThe findings here are partly consistent with prior work on brain volumes in OCD, insofar as they emphasize that alterations in subcortical brain morphology are associated with comorbidity and medication status. Further work is needed to understand the biological processes contributing to subcortical shape.
Mortality after the 9/11 terrorist attacks among world trade center health registry enrollees with cancer
Authors: Kehm Rebecca D. , Li Jiehui , Takemoto Erin , Yung Janette , Qiao Baozhen , Farfel Mark R. , Cone James E. 
Published: September 2022

AbstractBackgroundWhile several studies have reported the association between 9/11 exposure and cancer risk, cancer survival has not been well studied in the World Trade Center (WTC) exposed population. We examined associations of 9/11‐related exposures with mortality in WTC Health Registry enrollees diagnosed with cancer before and after 9/11/2001.Patients and MethodsThis is a longitudinal cohort study of 5061 enrollees with a first‐ever primary invasive cancer diagnosis between 1995 and 2015 and followed through 2016. Based on the timing of first cancer diagnosis, pre‐9/11 (n = 634) and post‐9/11 (n = 4427) cancer groups were examined separately. 9/11‐related exposures included witnessing traumatic events, injury on 9/11, and 9/11‐related post‐traumatic stress disorder (PTSD). Associations of exposures with all‐cause mortality were examined using Cox proportional hazards regression. In the post‐9/11 group, cancer‐specific mortality was evaluated by enrollee group (WTC rescue/recovery workers vs. non‐workers) using Fine and Gray's proportional sub‐distribution hazard models, adjusting for baseline covariates, tumor characteristics, and treatment.ResultsIn the pre‐9/11 group, 9/11‐related exposures were not associated with all‐cause mortality. In the post‐9/11 group, increased risk of all‐cause mortality was associated with PTSD (adjusted HR = 1.35; 95% CI = 1.11–1.65), but not with injury or witnessing traumatic events. Cancer‐specific mortality was not statistically significantly associated with 9/11‐related exposures. In rescue/recovery workers, increased non‐cancer mortality risk was associated with PTSD (aHR = 2.13, 95% CI = 1.13–4.00) and witnessing ≥3 traumatic events (aHR = 2.00, 95% CI = 1.13–3.55).ConclusionsWe did not observe associations between 9/11‐related exposures and cancer‐specific mortality. Similar to findings in the non‐cancer WTC exposed population, PTSD was associated with increased risk of all‐cause mortality in cancer patients.
Xanthogranulomatous hypophysitis: A rare presentation in a young female patient
Authors: Yaghoubi Mohammad Ali , Zabihyan Samira , Saeidinia Amin , Gharib Masoumeh , Ghiyasi Moghaddam Ramin 
Published: September 2022

AbstractHypophysitis is a rare inflammatory condition that may present both clinically and radiologically as a neoplastic lesion. Xanthogranulomas are rare intracranial lesions with controversial etiology. Here, we report a clinical case of histologically confirmed xanthogranulomatosis hypophysitis in a young female with type I diabetes mellitus and hypothyroidism.
Neuromeningeal cryptococcosis in a patient not infected with human immunodeficiency virus and without known risk factors: A case report
Authors: Andrianiaina Armel Mamihaja , Randrianarisoa Rova Malala Fandresena , Ratsimbazafy Solohery Jean Noel , Rakotonirina Lalao Nomenjanahary , Vololontiana Hanta Marie Danielle 
Published: September 2022

AbstractWe report a 24‐year‐old female patient not infected with human immunodeficiency virus (HIV) and without other risk factors of immunosuppression, presenting with neuromeningeal cryptococcosis. Cerebrospinal fluid (CSF) analysis revealed the presence of Cryptococcus neoformans. The evolution was unfavorable and the patient died even after appropriate antifungal treatment.
An Easy‐to‐Use Custom‐Built Cell for Neutron Powder Diffraction Studies of Rechargeable Batteries
Authors: Risskov Sørensen Daniel , Østergaard Drejer Andreas , Heere Michael , Senyshyn Anatoliy , Frontzek Matthias , Hansen Thomas , Didier Christophe , Peterson Vanessa K. , Bomholdt Ravnsbæk Dorthe , Ry Vogel Jørgensen Mads 
Published: September 2022

AbstractIn operando powder diffraction remains one of the most powerful tools for non‐destructive investigation of battery electrode materials. While in operando X‐ray, especially synchrotron radiation, powder diffraction is by now a routine experimental technique, in operando neutron powder diffraction is still less established. We present a new electrochemical cell for in operando neutron powder diffraction, which is, first and foremost, easy to use, but can also cycle electrode materials under electrochemical conditions close to those achieved using standard laboratory cells. The cell has been designed in multiple sizes, and high‐quality electrochemical and neutron powder diffraction data is presented for sample sizes as low as 48 mg total active material. The cell handles lithium‐ion and sodium‐ion materials equally well, with no difference in how the cell is prepared and assembled. The cell is intended to be used as sample environment at powder diffractometers at the neutron facilities MLZ, ORNL and ACNS.
Decadal and seasonal changes in landcover at Padre Island: Implications for the role of the back‐barrier in signaling island state change
Authors: Fisher Kenton R. , Ewing Ryan C. , Duran Vinent Orencio 
Published: September 2022

AbstractLong‐term and seasonal geomorphological changes at Padre Island, Texas are identified and linked with potential external drivers. Aerial and satellite images from 1950 to 2018, monthly images from 2019 to 2020, and a 2018 LiDAR data set are used to assess long‐term and seasonal geomorphological changes within a 50 km2 area of Padre Island near Port Mansfield, Texas. Trends in landcover are evaluated by mapping and comparing the relative areal coverage of each facies. Vegetated dunes, absent initially, emerged in the fore‐island and expanded into the back‐barrier to cover 14% of the study area. The active vegetation‐free back‐barrier dune field steadily decreased in areal extent from 12% to 6% as vegetation spread. Nebkha dune coverage fluctuated between 4% and 7%. Expansive microbial mats colonized the wind tidal and deflation flats surrounding the vegetated dunes and back‐barrier dune field giving rise to a remarkably different landscape over the 50‐year period studied. An assessment of external forcing factors identifies increased rates of relative sea level rise and decreased sediment influx as the most likely primary factors driving the geomorphological changes. These changes have induced a widespread shift toward stabilization of island sediments by vegetation and microbial mats, which in turn has starved the back‐barrier of sediments resulting in low rates of accretion and increased flooding. These findings highlight the sensitivity of the back‐barrier and, in particular, the dune facies to changes in sea level and sediment supply, and show that microbial mats are effective at stabilizing island sediments and may be harbingers to barrier island response to rising sea level. As shown in this study, long‐term monitoring of geomorphic facies changes and topography can detect important shifts in the island state that can be used to inform decision making for these sensitive coastal landscapes.
Memory optimization at Edge for Distributed Convolution Neural Network
Authors: Naveen Soumyalatha , Kounte Manjunath R. 
Published: September 2022

AbstractInternet of Things (IoT) edge intelligence has emerged by optimizing the deep learning (DL) models deployed on resource‐constraint devices for quick decision‐making. In addition, edge intelligence reduces network overload and latency by bringing intelligent analytics closer to the source. On the other hand, DL models need a lot of computing resources. As a result, they have high computational workloads and memory footprint, making it impractical to deploy and execute on IoT edge devices with limited capabilities. In addition, existing layer‐based partitioning methods generate many intermediate results, resulting in a huge memory footprint. In this article, we propose a framework to provide a comprehensive solution that enables the deployment of convolutional neural networks (CNNs) onto distributed IoT devices for faster inference and reduced memory footprint. This framework considers a pretrained YOLOv2 model, and a weight pruning technique is applied to the pre‐trained model to reduce the number of non‐contributing parameters. We use the fused layer partitioning method to vertically partition the fused layers of the CNN and then distribute the partition among the edge devices to process the input. In our experiment, we have considered multiple Raspberry Pi as edge devices. Raspberry Pi with a neural computing stick is a gateway device to combine the results from various edge devices and get the final output. Our proposed model achieved inference latency of 5 to7 seconds fortofused layer partitioning for five devices with a 9% improvement in memory footprint.
Can soy isoflavones in combination with soy protein change serum concentration of adiponectin and resistin? A systematic review and meta‐analysis on randomized clinical trials
Authors: Hariri Mitra , Amirkalali Bahareh , Mollanoroozy Ensiyeh , Gholami Ali 
Published: September 2022

AbstractSome studies proposed the anti‐inflammatory effect of soy protein and soy isoflavones by changing the serum adiponectin and resistin levels. The purpose of this research was to determine the impact of soy isoflavones and soy protein on blood adiponectin and resistin levels in adults. Scopus, PubMed, Cochrane Library, ISI Web of Science, and ClinicalTrials.gov databases were searched until April 2022. The effect size was computed by the mean changes from the beginning for intervention and comparison groups and their standard deviation. In the case of significant heterogeneity, DerSimonian and Laird random‐effects model was used. Six and five clinical trials were selected for the systematic review and meta‐analysis, respectively. The overall estimate indicated that soy isoflavones in combination with soy protein did not significantly change serum adiponectin level (weighted mean differences (WMD) = 0.36 μg/ml; 95% confidence interval (CI): −0.26, 0.99; p = .25), but significantly increased serum resistin level (WMD = 0.64 ng/ml, 95% CI: 0.25, 1.04; p = .001). In combination with soy protein, soy isoflavones nonsignificantly increased serum adiponectin levels, but significantly increased resistin levels. New intervention studies with a high dose of soy isoflavones and soy protein in different parts of the world and an updated meta‐analysis are needed to confirm the results of our study.
Inulin‐type fructans and short‐chain fructooligosaccharides—their role within the food industry as fat and sugar replacers and texture modifiers—what needs to be considered!
Authors: Jackson Peter Philip James , Wijeyesekera Anisha , Rastall Robert Adrian 
Published: September 2022

AbstractInulin and oligofructose are classes of prebiotics belonging to a group of nondigestible carbohydrates referred to as inulin‐type fructans. While short‐chain fructooligosaccharides are enzymatically synthesized from the hydrolysis and transglycosylation of sucrose. Inulin‐type fructans and short‐chain fructooligosaccharides act as carbon sources for selective pathways supporting digestive health including altering the composition of the gut microbiota along with improving transit time. Due to their physicochemical properties, inulin‐type fructans and short‐chain fructooligosaccharides have been widely used in the food industry as partial replacements for both fat and sugar. Yet, levels of replacement need to be carefully considered as it may result in changes to physical and sensory properties that could be detected by consumers. Furthermore, it has been reported depending on the processing parameters used during production that inulin‐type fructans and short‐chain fructooligosaccharides may or may not undergo structural alterations. Therefore, this paper reviews the role of inulin‐type fructans and short‐chain fructooligosaccharides within the food industry as fat and sugar replacers and texture modifiers, their impact on final sensory properties, and to what degree processing parameters are likely to impact their functional properties.