bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodal Classification of Mild Traumatic Brain Injury Reveals Local Coupling Between Structural and Functional Connectomes
Authors: Peddada Ajay , Holly Kevin S. , Sudhakar Tejaswi D. , Ledbetter Christina , Talbot Christopher E. , Valdivia Daniel , Kalakoti Piyush , Ginalis Elizabeth , Quinoa Travis , Barker Benjamin J. , Murcia Derrick , Daggett Rebekah , Holly Phillip , Phan Tina , Ross Robert C. , Gonzalez-Toledo Eduardo , Biswal Bharat , Sun Hai 
Published: December 2021

AbstractBackgroundFollowing mild traumatic brain injury (mTBI) compromised white matter structural integrity can result in alterations in functional connectivity of large-scale brain networks and may manifest in functional deficit including cognitive dysfunction. Advanced magnetic resonance neuroimaging techniques, specifically diffusion tensor imaging (DTI) and resting state functional magnetic resonance imaging (rs-fMRI), have demonstrated an increased sensitivity for detecting microstructural changes associated with mTBI. Identification of novel imaging biomarkers can facilitate early detection of these changes for effective treatment. In this study, we hypothesize that feature selection combining both structural and functional connectivity increases classification accuracy.Methods16 subjects with mTBI and 20 healthy controls underwent both DTI and resting state functional imaging. Structural connectivity matrices were generated from white matter tractography from DTI sequences. Functional connectivity was measured through pairwise correlations of rs-fMRI between brain regions. Features from both DTI and rs-fMRI were selected by identifying five brain regions with the largest group differences and were used to classify the generated functional and structural connectivity matrices, respectively. Classification was performed using linear support vector machines and validated with leave-one-out cross validation.ResultsGroup comparisons revealed increased functional connectivity in the temporal lobe and cerebellum as well as decreased structural connectivity in the temporal lobe. After training on structural connections only, a maximum classification accuracy of 78% was achieved when structural connections were selected based on their corresponding functional connectivity group differences. After training on functional connections only, a maximum classification accuracy of 69% was achieved when functional connections were selected based on their structural connectivity group differences. After training on both structural and functional connections, a maximum classification accuracy of 69% was achieved when connections were selected based on their structural connectivity.ConclusionsOur multimodal approach to ROI selection achieves at highest, a classification accuracy of 78%. Our results also implicate the temporal lobe in the pathophysiology of mTBI. Our findings suggest that white matter tractography can serve as a robust biomarker for mTBI when used in tandem with resting state functional connectivity.
Survey of extracellular communication of systemic and organ-specific inflammatory responses through cell free messenger RNA profiling in mice
Authors: Zhuang Jiali , Ibarra Arkaitz , Acosta Alexander , Karns Amy P. , Aballi Jonathan , Nerenberg Michael , Quake Stephen R. , Toden Shusuke 
Published: December 2021

ABSTRACTInflammatory and immune responses are essential and dynamic biological processes that protect the body against acute and chronic adverse stimuli. While conventional protein markers have been used to evaluate systemic inflammatory response, the immunological response to stimulation is complex and involves modulation of a large set of genes and interacting signaling pathways of innate and adaptive immune systems. Therefore, there is a need for a non-invasive tool that can comprehensively evaluate and monitor molecular dysregulations associated with inflammatory and immune responses. Here we utilized cell-free messenger RNA (cf-mRNA) RNA-Seq whole transcriptome profiling to assess lipopolysaccharide (LPS) induced and JAK inhibitor modulated inflammatory and immune responses in mouse plasma samples. Considering that, both organspecific recruitment of immune cells and organ resident bespoke immune cells contributes to restoration of organ homeostasis, we also examined LPS-induced gene-expression dysregulation of multiple organs to shed light on organ crosstalk. Cf-mRNA profiling displayed a pattern of systemic immune responses elicited by LPS and dysregulation of associated pathways. Moreover, attenuation of several inflammatory pathways, including STAT and interferon pathways, were observed following the treatment of JAK inhibitor. Lastly, we identified the dysregulation of liverspecific transcripts in cf-mRNA which reflected changes in the gene-expression pattern in this biological compartment. Collectively, using a preclinical model, we demonstrated the potential of plasma cf-mRNA profiling for systemic and organ-specific characterization of drug-induced molecular alterations that are associated with inflammatory and immune responses.Abstract Figure
Assessment of twenty-two SARS-CoV-2 rapid antigen tests against SARS-CoV-2: A laboratory evaluation study
Authors: Deerain Joshua M , Tran Thomas , Batty Mitch , Yoga Yano , Druce Julian , Mackenzie Charlene , Taiaroa George , Taouk Mona , Chea Socheata , Zhang Bowen , Prestedge Jacqueline , Ninan Marilyn , Carville Kylie , Fielding James , Catton Mike , Williamson Deborah A 
Published: December 2021

ABSTRACTBackgroundRapid antigen testing is widely used as a way of scaling up population-level testing. To better inform antigen test deployment in Australia, we evaluated 22 commercially available antigen tests against the currently circulating delta variant, including an assessment of culture infectivity.MethodsAnalytical sensitivity was evaluated against SARS-CoV-2 B.1.617.2 (Delta), reported as TCID50/mL, cycle threshold (Ct) and viral load (RNA copies/mL). Specificity was assessed against non-SARS-CoV-2 viruses. Clinical sensitivity and correlation with cell culture infectivity was assessed using the Abbott PanBio™ COVID-19 Ag test.ResultsNineteen kits consistently detected SARS-CoV-2 antigen equivalent to 1.3 × 106 copies/mL (5.8 × 103 TCID50 /mL). Specificity for all kits was 100%. Compared to RT-PCR the Abbott PanBio™ COVID-19 Ag test was 52.6% (95% CI, 41.6% to 63.3%) concordant, with a 50% detection probability for infectious cell culture at 5.9 log10 RNA copies/mL (95% CI, 5.3 to 6.5 log10 copies/mL). Antigen test concordance was 97.6% (95% CI, 86.3% to 100.0%) compared to cell culture positivity.ConclusionsAntigen test positivity correlated with positive viral culture, suggesting antigen test results may determine SARS-CoV-2 transmission risk. Analytical sensitivity varied considerably between kits highlighting the need for ongoing systematic post-market evaluation to inform test selection and deployment.
Identification of Intimate Partner Violence from Free Text Descriptions in Social Media
Authors: Ha Phan Trinh , D’Silva Rhea , Chen Ethan , Koyutürk Mehmet , Karakurt Günnur 
Published: December 2021

AbstractIntimate Partner Violence (IPV) is a significant public health problem that adversely affects the well-being of victims. IPV is often under-reported and non-physical forms of violence may not be recognized as IPV, even by victims. With the increasing popularity of social media and due to the anonymity provided by some of these platforms, people feel comfortable sharing descriptions of their relationship problems in social media. The content generated in these platforms can be useful in identifying IPV and characterizing the prevalence, causes, consequences, and correlates of IPV in broad populations. However, these descriptions are in the form of free text and no corpus of labeled data is available to perform large-scale computational and statistical analyses.Here, we use data from established questionnaires that are used to collect self-report data on IPV to train machine learning models to predict IPV from free text. Using Universal Sentence Encoder (USE) along with multiple machine learning algorithms (Random Forest, SVM, Logistic Regression, Naïve Bayes), we develop DetectIPV, a tool for detecting IPV in free text. Using DetectIPV, we comprehensively characterize the predictability of different types of violence (Physical Abuse, Emotional Abuse, Sexual Abuse) from free text. Our results show that a general model that is trained using examples of all violence types can identify IPV from free text with area under the ROC curve (AUROC) 89%. We also train type-specific models and observe that Physical Abuse can be identified with greatest accuracy (AUROC 98%), while Sexual Abuse can be identified with high precision but relatively low recall. While our results indicate that the prediction of Emotional Abuse is the most challenging, DetectIPV can identify Emotional Abuse with AUROC above 80%. These results establish DetectIPV as a tool that can be used to reliably detect IPV in the context of various applications, ranging from flagging social media posts to detecting IPV in large text corpuses for research purposes. DetectIPV is available as a web service at https://ipvlab.case.edu/ipvdetect/.
Contraception in breast cancer survivors from the FEERIC case-control study (performed on behalf of the Seintinelles research network)
Authors: Sebbag Clara , Rousset-Jablonski Christine , Coussy Florence , Ray-Coquard Isabelle , Garin Clémentine , Evrevin Clémence , Toussaint Aullène , Cessot Marion , Labrosse Julie , Laot Lucie , Darrigues Lauren , Bobrie Angélique , Jacot William , Sénéchal-Davin Claire , Espié Marc , Giacchetti Sylvie , Charveriat Patrick , Plu-Bureau Geneviève , Maitrot-Mantelet Lorraine , Gompel Anne , Chapron Charles , Santulli Pietro , Asselain Bernard , Hotton Judicaël , Coutant Charles , Guerin Julien , Decanter Christine , Mailliez Audrey , Delrieu Lidia , Dumas Elise , Sablone Laura ,   Research Network Seintinelles, Reyal Fabien , Hamy Anne-Sophie 
Published: December 2021

AbstractObjectiveTo compare the prevalence of contraception in breast cancer (BC) patients at risk of unintentional pregnancy (i.e. not currently pregnant or trying to get pregnant) and matched controls.DesignThe FEERIC study (Fertility, Pregnancy, Contraception after BC in France) is a prospective, multicenter case-control study. Data were collected through online questionnaires completed on the Seintinelles* research platform.SettingNot applicablePatient(s)BC patients aged 18-43 years, matched for age and parity to cancer-free volunteer controls in a 1:2 ratio.Intervention(s)NoneResultsIn a population of 1278 women at risk of unintentional pregnancy, the prevalence of contraception at study inclusion did not differ significantly between cases (340/431, 78.9%) and controls (666/847, 78.6%, p=0.97). However, the contraceptive methods used were significantly different, with a higher proportion of copper IUD use in BC survivors (59.5% versus 25.0% in controls p<0.001). For patients at risk of unintentional pregnancy, receiving information about chemotherapy-induced ovary damage at BC diagnosis (OR= 2.47 95%CI [1.39 - 4.37] and anti-HER2 treatment (OR=2.46, 95% CI [1.14 - 6.16]) were significantly associated with the use of a contraception in multivariate analysis.DiscussionIn this large French study, BC survivors had a prevalence of contraception use similar to that for matched controls, though almost one in five women at risk of unintentional pregnancy did not use contraception. Dedicated consultations at cancer care centers could further improve access to information and contraception counseling.
Differential Impact of rhamnolipids and TWEEN80 on composition and functionality of the gut microbiota in the SHIME system
Authors: Miclotte Lisa , De Paepe Ellen , Li Qiqiong , Van Camp John , Raikovic Andreja , Van de Wiele Tom 
Published: December 2021

AbstractDietary emulsifiers have been shown to affect the composition and function of the gut microbial community, both in vivo and in vitro. Yet, several knowledge gaps remain to be addressed: the impact from a longer timeframe exposure on the gut microbiota, interindividual variability in microbiome response and the putative impact from novel clean label alternatives for current food emulsifiers.In the present study, the impact of one conventional dietary emulsifier, TWEEN80, and one potential novel alternative, rhamnolipids, on the human gut microbiota was investigated using the Mucosal Simulator of the Human Intestinal Microbial Ecosystem (M-SHIME). The faecal microbiota from two human donors, with high and low responsiveness to the emulsifiers, were exposed to 0,05 m% and 0,5 m% of the emulsifiers for 7 days.The results confirmed previous observations that the effects on the composition and functionality are both emulsifier- and donor dependent. The effects reached an equilibrium after about 3 days of exposure. Overall, TWEEN80 and rhamnolipids displayed opposite effects: TWEEN80 increased cell counts, reduced propionate concentration, increased butyrate levels, increased a.o. Faecalibacterium, Blautia and Hungatella abundance, while rhamnolipids did the opposite. Rhamnolipids also sharply increased the abundance of unclassified Lachnospiraceae. On the other hand, both emulsifiers increased the relative abundance of unclassified Enterobacteriaceae. Both emulsifiers also altered the microbial metabolome in different ways and a pathway enrichment analysis tool revealed that the metabolome alterations could be reminiscent of gut issues and obesity.Overall, the impact from the rhamnolipids was larger than that of TWEEN80 at similar concentrations, indicating that the former may not necessarily be a safer alternative for the latter. The microbiota’s response also depended on its original composition and the sensitivity status for which the faecal donors were selected, was preserved. Whether the same donor-diversity and longitudinal impact can be expected in the human colon as well and what impact this has on the host will have to be further investigated.
Identifying target sites for placental therapeutics through the comparison of normal term pregnancies and intrauterine growth restricted proteomes
Authors: Bowman A. , Brockway H. , Jones H. 
Published: December 2021

AbstractA variety of pathologies, including intrauterine growth restriction (IUGR), have been linked to placental insufficiencies as important causal factors, however, little has been done to develop therapeutics that may improve placental development, structure and function. The placenta offers the opportunity to manipulate the in-utero environment without directly intervening with the fetus, accessible from the maternal circulation, a vital but temporary organ, the placenta is no longer required after birth. Developing therapeutics must involve multiple aspects of targeting and safety to ensure no off-target impact on the pregnant person or fetus as well as enhance efficiency of delivery. In addition to our studies on nanoparticle delivery to the placenta [1] we are developing targeting strategies to allow peripheral delivery via the maternal circulation. In this study we have performed the isolation of the microvillous membrane from human placental syncytiotrophoblast (the targeting cell) and via proteomic analysis identified potential targeting moieties, we have then compared this to publicly available data from pregnancies complicated by fetal growth restriction to ensure that we do not identify targets which would be reduced in FGR, resulting in less efficient targeting.HighlightsProteomic analysis detected key genes, proteins, and pathways present in the syncytiotrophoblast membrane of normal placentas.Specific membrane proteins identified show promise for future characterization of placental pathologies, such as IUGR.Proteomes of normal and diseased placentas require further study to better understand the etiology of certain conditions.
Assessing stakeholder satisfaction in PPP transport projects in developing countries: evidence from Vietnam
Authors: Van Du Nguyen , Thuc Le Dinh , Tran Huu-Bang 
Published: December 2021

PurposePublic-Private Partnership (PPP) model still contains the obstacle in partnership, which can lead to different satisfaction between project participants. Therefore, project managers need to consider stakeholder satisfaction to ensure success in PPP implementation. However, this problem is limited in the previous studies in developing countries. The purpose of this study is to evaluate stakeholder satisfaction of PPP transport projects in developing countries.Design/methodology/approachA total of 15 satisfaction factors were identified and four main groupings were introduced by a review of the literature and expert interview rounds, including satisfaction of general public, satisfaction of private sector, satisfaction of government and satisfaction of end-users. A PPP expressway project in Vietnam was used to illustrate for this analysis. Data were collected through a questionnaire survey with 31 validated responses. The fuzzy synthetic evaluation method was then applied to evaluate satisfaction index for the stakeholder satisfaction of PPP transport projects in Vietnam as a developing country.FindingsThe analyzed result showed that the project participants are basically satisfied with gained outcomes of the experimental project with the satisfaction index = 3.46. Specifically, the general public expressed that they are “satisfied” with satisfaction index = 4.08. Meanwhile, end-users, government and private sector are “basically satisfied” with the project outcome (the satisfaction index of 3.31, 3.16 and 3.04, respectively).Originality/valueThis study provides more depth understanding of the satisfaction factor with transport infrastructure service in developing countries through PPP procurement. In addition, the decision-makers might utilize this evaluation model for rating the stakeholder satisfaction of real PPP projects to ensure project success.
Policies and initiatives/programs that promote health and self-care in asylum seekers living in high income countries: a narrative review
Authors: Nkhoma Gloria , Lim Chiao Xin , Kennedy Gerard , Stupans Ieva 
Published: December 2021

Purpose
This paper aims to identify health-care entitlements that exist for asylum seekers with chronic non-communicable disease (CNCD) that promote their health and self-care, and to explore health policies, initiatives and programmes with the potential to foster self-care in this populace.

Design/methodology/approach
Narrative review of literature conducted by searching EMBASE, CINAHL, WEB OF SCIENCE and PSYCINFO databases for articles published from 2010 to 2021. Included articles focussed on policies, programmes or initiatives with the potential to promote health in adult asylum seekers residing in high-income countries. Studies inclusive of other migrant groups such as undocumented migrants and those with mental health conditions were excluded. Eleven studies fitting the inclusion criteria were assessed against the study objectives.

Findings
Free access to health-care services and pharmaceutical products, free access to food banks and supermarket model food banks, English and cooking lessons, community integration training sessions and culturally competent health-care workers were found to promote health and self-care. There is little research on self-care and health promotion in adult asylum seekers with CNCD. CNCDs represent high burden of disease in asylum seekers but have a low priority in reported research.

Originality/value
This narrative review is the first to explicitly focus on asylum seekers in high-income countries with CNCD, excluding mental health conditions, and to explore initiatives, programmes and policies that enhance health promotion to facilitate self-care in this populace.
Understanding Ant Forest continuance: effects of user experience, personal attributes and motivational factors
Authors: Ashfaq Muhammad , Zhang Qingyu , Zafar Abaid Ullah , Malik Mehwish , Waheed Abdul 
Published: December 2021

PurposeTechnology has emerged as a leading tool to address concerns regarding climate change in the recent era. As a result, the green mobile application – Ant Forest – was developed, and it has considerable potential to reduce negative environmental impacts by encouraging its users to become involved in eco-friendly activities. Ant Forest is a novel unexplored green mobile gaming phenomenon. To address this gap, this study explores the influence of user experience (cognitive experience and affective experience), personal attributes (affection and altruism) and motivational factors in game play (reward for activities and self-promotion) on the continuation intention toward Ant Forest.Design/methodology/approachThe authors assessed the data using partial least squares structural equation modeling (PLS-SEM) for understanding users' continuation intention toward Ant Forest.FindingsThrough a survey of 337 Ant Forest users, the results reveal that cognitive and affective experiences substantially affect Ant Forest continuation intention. Personal attributes and motivational factors also stimulate users to continue using Ant Forest.Originality/valueThe authors build and confirm a conceptual framework to understand users' continuation intention toward a novel unexplored Ant Forest phenomenon.
Research on the integrated manipulator of point cloud measurement and precise cutting for waste nuclear tank
Authors: Qi Ruolong , Liang Wenfeng 
Published: December 2021

Purpose
Nuclear waste tanks need to be cut into pieces before they can be safely disposed of, but the cutting process produces a large amount of aerosols with radiation, which is very harmful to the health of the operator. The purpose of this paper is to establish an intelligent strategy for an integrated robot designed for measurement and cutting, which can accurately identify and cut unknown nuclear waste tanks and realize autonomous precise processing.

Design/methodology/approach
A robot system integrating point cloud measurement and plasma cutting is designed in this paper. First, accurate calibration methods for the robot, tool and hand-eye system are established. Second, for eliminating the extremely scattered point cloud caused by metal surface refraction, an omnidirectional octree data structure with 26 vectors is proposed to extract the point cloud model more accurately. Then, a minimum bounding box is calculated for limiting the local area to be cut, the local three-dimensional shape of the nuclear tank is fitted within the bounding box, in which the cutting trajectories and normal vectors are planned accurately.

Findings
The cutting precision is verified by changing the tool into a dial indicator in the simulation and the experiment process. The octree data structure with omnidirectional pointing vectors can effectively improve the filtering accuracy of the scattered point cloud. The point cloud filter algorithm combined with the structure calibration methods for the integrated measurement and processing system can ensure the final machining accuracy of the robot.

Originality/value
Aiming at the problems of large measurement noise interference, complex transformations between coordinate systems and difficult accuracy guarantee, this paper proposes structure calibration, point cloud filtering and point cloud-based planning algorithm, which can greatly improve the reliability and accuracy of the system. Simulation and experiment verify the final cutting accuracy of the whole system.