bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets
Authors: Iraji A. , Fu Z. , Faghiri A. , Duda M. , Chen J. , Rachakonda S. , DeRamus T. , Kochunov P. , Adhikari B. M. , Belger A. , Ford J. M. , Mathalon D. H. , Pearlson G. D. , Potkin S. G. , Preda A. , Turner J. A. , van Erp T. G. M. , Bustillo J. R. , Yang K. , Ishizuka K. , Faria A. , Sawa A. , Hutchison K. , Osuch E. A. , Theberge J. , Abbott C. , Mueller B. A. , Zhi D. , Zhuo C. , Liu S. , Xu Y. , Salman M. , Liu J. , Du Y. , Sui J. , Adali T. , Calhoun V. D. 
Published: October 2023

AbstractDespite the known benefits of data‐driven approaches, the lack of approaches for identifying functional neuroimaging patterns that capture both individual variations and inter‐subject correspondence limits the clinical utility of rsfMRI and its application to single‐subject analyses. Here, using rsfMRI data from over 100k individuals across private and public datasets, we identify replicable multi‐spatial‐scale canonical intrinsic connectivity network (ICN) templates via the use of multi‐model‐order independent component analysis (ICA). We also study the feasibility of estimating subject‐specific ICNs via spatially constrained ICA. The results show that the subject‐level ICN estimations vary as a function of the ICN itself, the data length, and the spatial resolution. In general, large‐scale ICNs require less data to achieve specific levels of (within‐ and between‐subject) spatial similarity with their templates. Importantly, increasing data length can reduce an ICN's subject‐level specificity, suggesting longer scans may not always be desirable. We also find a positive linear relationship between data length and spatial smoothness (possibly due to averaging over intrinsic dynamics), suggesting studies examining optimized data length should consider spatial smoothness. Finally, consistency in spatial similarity between ICNs estimated using the full data and subsets across different data lengths suggests lower within‐subject spatial similarity in shorter data is not wholly defined by lower reliability in ICN estimates, but may be an indication of meaningful brain dynamics which average out as data length increases.
Pre‐movement event‐related potentials and multivariate pattern of EEG encode action outcome prediction
Authors: Ody Edward , Kircher Tilo , Straube Benjamin , He Yifei 
Published: October 2023

AbstractSelf‐initiated movements are accompanied by an efference copy, a motor command sent from motor regions to the sensory cortices, containing a prediction of the movement's sensory outcome. Previous studies have proposed pre‐motor event‐related potentials (ERPs), including the readiness potential (RP) and its lateralized sub‐component (LRP), as potential neural markers of action feedback prediction. However, it is not known how specific these neural markers are for voluntary (active) movements as compared to involuntary (passive) movements, which produce much of the same sensory feedback (tactile, proprioceptive) but are not accompanied by an efference copy. The goal of the current study was to investigate how active and passive movements are distinguishable from premotor electroencephalography (EEG), and to examine if this change of neural activity differs when participants engage in tasks that differ in their expectation of sensory outcomes. Participants made active (self‐initiated) or passive (finger moved by device) finger movements that led to either visual or auditory stimuli (100 ms delay), or to no immediate contingency effects (control). We investigated the time window before the movement onset by measuring pre‐movement ERPs time‐locked to the button press. For RP, we observed an interaction between task and movement. This was driven by movement differences in the visual and auditory but not the control conditions. LRP conversely only showed a main effect of movement. We then used multivariate pattern analysis to decode movements (active vs. passive). The results revealed ramping decoding for all tasks from around −800 ms onwards up to an accuracy of approximately 85% at the movement. Importantly, similar to RP, we observed lower decoding accuracies for the control condition than the visual and auditory conditions, but only shortly (from −200 ms) before the button press. We also decoded visual vs. auditory conditions. Here, task is decodable for both active and passive conditions, but the active condition showed increased decoding shortly before the button press. Taken together, our results provide robust evidence that pre‐movement EEG activity may represent action‐feedback prediction in which information about the subsequent sensory outcome is encoded.
Blood pressure‐cerebral oxygen coupling model: A new approach for stroke risk prediction
Authors: Zhang Jingsha , Li Wenhao , Zhang Ke , Huo Congcong , Xu Gongcheng , Li Zengyong 
Published: October 2023

AbstractStroke is a major cause of death and disability worldwide, but predicting its risk remains challenging. This study aimed to evaluate the cerebral blood flow autoregulation function of subjects with different stroke risk levels and predict their stroke risk. The coupling strength between cerebral oxygen and blood pressure signals was calculated by wavelet analysis and dynamic Bayesian inference and used as a quantitative index of cerebral blood flow autoregulation. A stroke prediction model based on the extreme random tree was constructed using the coupling strength and other data as input features. The results showed that the coupling strength was significantly higher in the high‐risk group than the other groups. Moreover, the prediction model achieved an average accuracy of 0.80 across the three groups. The coupling strength of cerebral oxygen and blood pressure can be used as an objective index to predict stroke risk, which has implications for stroke prevention and intervention.
Motivation and accessing care among drug treatment court involved women: A sequential, mixed‐methods approach
Authors: Blank Lilo , Bandyopadhyay Sanjukta , Yang Hongmei , Williams Geoffrey , Cerulli Catherine , Verma Shelley , Anson Jacqueline , Connor Meghan , Morse Diane S. 
Published: October 2023

AbstractDrug treatment courts (DTC) address substance use disorders (SUD) but not cooccurrencing HIV or hepatitis C virus (HCV). This pilot explored feasibility and preliminary outcomes of the Women's Initiative Supporting Health (WISH) intervention and health‐related motivation, both based in self‐determination theory (SDT) regarding HIV/HCV and SUD treatment. WISH feasibility study: 79 DTC women completed a one‐time survey regarding motivation and willingness to engage in future interventions. WISH intervention: 22 women from DTC with SUD and HIV or HCV received a 6‐session, peer motivational enhancement health behavior‐oriented interventions. Recruitment strategies were feasible. SDT‐based measures demonstrated internal consistency in this under‐studied population, with perceived competence/autonomy associationed with motivation to reduce HIV/HCV/SUD risk. Women DTC participants indicated acceptance and showed internally consistent results in SDT‐based motivation measures These WISH feasibility and intervention pilot studies lay a foundation for future studies addressing motivation to access healthcare among women DTC participants.
A scoping review of existing research between 1990 and 2023: Measuring virtual communities of practice across disciplines
Authors: Lardier David T. , Dickson Elizabeth L. , Hackett Janna M. , Verdezoto Carolina S. 
Published: October 2023

AbstractVirtual communities of practice (VCoPs) can decrease social, structural, and professional isolation, provide opportunities for knowledge‐sharing abilities, and may improve participants' self‐reported sense of connectedness to one another and their profession. However, more research is needed to examine measurement of VCoPs effectiveness on participants. In this scoping review our research question was: What is the state of the science for VCoPs and how are these communities measured in current research specific to education and health/health education? Guided by Arksey and O'Malley's five stages for conducting a rigorous scoping review, we identified gaps in the evidence regarding the overall state of the science on measurement of VCoPs inclusive of quantitative and mixed‐methods literature describing validated VCoP measurement in both English or Spanish from January 1990 to July 2023, and within the health, education, or health education disciplines. Initial searches yielded 2350 articles. Authors independently screened papers and extracted data. The results of this scoping review (N = 13 articles) highlight the measurement of VCoPs specific to education, healthcare, health education research. We found that measures had been tested in VCoPs within health, education, health education, and professional education information technologies disciplines, with the Community of Inquiry framework being the most common theoretical foundation. The findings provide an understanding of measurement tools and impacts and outcomes of VCoP participation and we make recommendations for future VCoP measurement tool development.
Revolutionizing Human papillomavirus (HPV)‐related cancer therapies: Unveiling the promise of Proteolysis Targeting Chimeras (PROTACs) and Proteolysis Targeting Antibodies (PROTABs) in cancer nano‐vaccines
Authors: Mukerjee Nobendu , Maitra Swastika , Gorai Sukhamoy , Ghosh Arabinda , Alexiou Athanasiosis , Thorat Nanasaheb D. 
Published: October 2023

AbstractPersonalized cancer immunotherapies, combined with nanotechnology (nano‐vaccines), are revolutionizing cancer treatment strategies, explicitly targeting Human papilloma virus (HPV)‐related cancers. Despite the availability of preventive vaccines, HPV‐related cancers remain a global concern. Personalized cancer nano‐vaccines, tailored to an individual's tumor genetic mutations, offer a unique and promising solution. Nanotechnology plays a critical role in these vaccines by efficiently delivering tumor‐specific antigens, enhancing immune responses, and paving the way for precise and targeted therapies. Recent advancements in preclinical models have demonstrated the potential of polymeric nanoparticles and high‐density lipoprotein‐mimicking nano‐discs in augmenting the efficacy of personalized cancer vaccines. However, challenges related to optimizing the nano‐carrier system and ensuring safety in human trials persist. Excitingly, the integration of nanotechnology with Proteolysis‐Targeting Chimeras (PROTACs) provides an additional avenue to enhance the effectiveness of personalized cancer treatment. PROTACs selectively degrade disease‐causing proteins, amplifying the impact of nanotechnology‐based therapies. Overcoming these challenges and leveraging the synergistic potential of nanotechnology, PROTACs, and Proteolysis‐Targeting Antibodies hold great promise in pursuing novel and effective therapeutic solutions for individuals affected by HPV‐related cancers.
The effect of a multicomponent oral care regimen on gingival inflammation: A randomized controlled clinical trial
Authors: do Amaral Guilherme C. L. S. , Hassan Mohamed A. , Saraiva Luciana , Nakao Laís Y. S. , Holzhausen Marinella , Malheiros Zilson M. , Stewart Bernal , Romito Giuseppe A. , Villar Cristina C. 
Published: October 2023

AbstractBackgroundOral care regimens can be explored to improve oral health in patients with gingivitis. This study aimed to evaluate the efficacy of a multicomponent oral care regimen with a dual zinc plus arginine (DZA) toothpaste and cetylpyridinium chloride with zinc lactate (CPC + Zn) mouthwash in reducing gingival bleeding in patients with gingivitis.MethodsThis randomized clinical trial included 94 participants with gingivitis who were randomized into two groups: the DZA/CPC + Zn group, which used a 1450‐ppm fluoride toothpaste containing 0.96% zinc plus 1.5% arginine and a fluoride‐containing mouthwash with 0.075% CPC and 0.28% zinc lactate, and the control group, which used a 1450‐ppm fluoride toothpaste and a placebo mouthwash for 6 months. All participants were examined by a blinded examiner who measured the gingival index, plaque index, and gingival severity index. Data were analyzed using paired t test, independent t test, and analysis of covariance (ANCOVA).ResultsBoth groups presented statistically significant reductions in all clinical parameters compared to baseline. The DZA/CPC + Zn group exhibited significantly greater reductions in gingival index, gingival severity index, proximal gingival index, plaque index and proximal plaque index compared to the control group at 1, 3, and 6 months. Furthermore, DZA/CPC + Zn significantly decreased the percentage of patients with generalized gingivitis over a 6‐month follow‐up period. However, differences between the DZA/CPC + Zn and the control groups were not maintained after both groups established similar regimens with fluoride toothpaste.ConclusionThe multicomponent oral care regimen consisting of DZA toothpaste and CPC + Zn mouthwash is effective in reducing gingival inflammation and supragingival biofilm in patients with gingivitis.
Focal surface projection: Extending projector depth of field using a phase‐only spatial light modulator
Authors: Ueda Fumitaka , Kageyama Yuta , Iwai Daisuke , Sato Kosuke 
Published: October 2023

AbstractWe present a focal surface projection to solve the narrow depth‐of‐field problem in projection mapping applications. We apply a phase‐only spatial light modulator to realize nonuniform focusing distances, whereby the projected contents appear focused on a surface with considerable depth variations. The feasibility of the proposed technique was validated through a physical experiment.
Head–neck melanoma: Clinical, histopathological and prognostic features of an Italian multicentric study
Authors: Schipani Giusy , Nisticò Steven P. , Quaglino Pietro , Ribero Simone , Gallo Giuseppe , Maione Vincenzo , Girolomoni Giampiero , Rosina Paolo , Alaibac Mauro , Messina Francesco , Gatti Alessandro , Stinco Giuseppe , Buligan Cinzia , Bassoli Sara , Farnetani Francesca , Borghi Alessandro , Melandri Davide , Sirna Riccardo , Feci Luca , Simonetti Stefano , Stingeni Luca , Offidani Annamaria , Brisigotti Valerio , Campanati Anna , Calvieri Stefano , Spallone Giulia , Botti Elisabetta , Panasiti Vincenzo , Pagnanelli Gianluca , Scalvenzi Massimiliano , Fabbrocini Gabriella , Costa Claudia , Schirripa Vincenzo , Borgia Francesco , Atzori Laura , Scali Elisabetta , Passante Maria , Guarneri Fabrizio , Patruno Cataldo 
Published: October 2023

AbstractBackgroundPrimitive location of melanoma could be a relevant prognostic factor. As regards the scalp, some studies indicate a particularly aggressive biological behaviour for this anatomical localisation.ObjectivesIn this multicentric study, data regarding head–neck melanoma (HNM) have been revised.MethodsThe design of the study included two main phases. In this retrospective study, data regarding HNM have been collected and analysed.ResultsIn summary, our data suggest that the posterior neck is the area most affected by thicker melanomas. Cheeks and neck melanoma are associated with reduced disease‐free years of life and overall survival compared with all other sites of HNM.ConclusionsThis study provides useful information in defining the clinical features of HNM, thus improving diagnosis and treatment strategies.
Prevalence of multiple long‐term conditions with psoriasis in England: A cohort study using the Clinical Practice Research Datalink
Authors: Payne Katherine , Ciamponi Federica , Allen Thomas , Thompson Alex J. , Gkountouras Georgios , Gavan Sean P. , Reid Claire T. , Griffiths Christopher E. M. , Ashcroft Darren M. 
Published: October 2023

AbstractBackgroundPeople with psoriasis live with other long‐term conditions (co‐morbidities) that affect their use of healthcare, but the scale of this is not well characterised.ObjectivesEstimate the concurrent prevalence of co‐morbidities known to affect the use of healthcare in people living with psoriasis in England.MethodsA retrospective cohort study using linked data from the UK's Clinical Practice Research Datalink with Hospital Episode Statistics, Office for National Statistics mortality records, and Index of Multiple Deprivation 2010. A cohort of adults (≥18 years) with psoriasis was matched with a comparator cohort of individuals based on age, sex and registered general practice between April 2007 and December 2017. A predefined list of 21 co‐morbidities was selected from a published measure: the Cambridge Multimorbidity Index (CMI). Descriptive analysis describes prevalence with statistical tests (t tests; two‐sample proportions test) of difference for selected variables.ResultsThe study cohort comprised 372,949 individuals (54,817 psoriasis; and 318,132 matched‐comparator). The calculated CMI general score was statistically higher at 0.54 (standard deviation: 0.9) for psoriasis compared with 0.39 (standard deviation: 0.75) for the matched comparator (t test; p < 0.001). A higher percentage (53.2%) of individuals within the psoriasis cohort had at least one co‐morbidity compared with 45.4% of individuals in the matched‐comparator cohort. The prevalence of 20 individual co‐morbidities was statistically significantly (two‐sample proportions test; p < 0.001) higher than in the matched‐comparator cohort.ConclusionsIndividuals living with psoriasis are more likely to live with multiple long‐term conditions that have developed at an earlier age compared with those without psoriasis. Knowing the characteristics for a higher prevalence of co‐morbidities in people living with psoriasis provides clinicians with the motivation to consider more holistic approaches to improve management and treatment, noting the importance of mental health alongside physical health, and enabling a conversation about the importance of making lifestyle changes.
Quantifying Localized Stresses in the Matrix of a Fiber‐Reinforced Composite via Mechanophores
Authors: Haque Nazmul , Gohl Jared , Chang Chia‐Chih , Chang Hao Chun , Davis Chelsea S. 
Published: October 2023

AbstractUnderstanding the stress distribution within fiber‐reinforced polymers (FRPs) is critical to extending their operational lifespan. The integration of mechanoresponsive molecular force probes, referred to as mechanophores, presents a potential solution by enabling direct monitoring of stress concentrations. In this study, spiropyran (SP) mechanophores (MPs) are embedded within a polydimethylsiloxane (PDMS) matrix to visualize stress localization during loading within a single fiber‐reinforced framework. The SP mechanophore undergoes a transition from a non‐fluorescent state to an active state (merocyanine) through isomerization in response to mechanical forces. Using a single fiber mounted axially within the matrix, the fundamental failure modes observed in conventional fiber‐reinforced composites are replicated. Samples are strained under uniaxial tensile loading along the fiber direction and the localization of stresses is observed via MP activation. Stresses are concentrated in the matrix near the fiber region that gradually decreases away from the fiber surface. Confocal microscopy is used to visualize mechanophore activation and quantitatively assess fluorescence intensity. Finite element modeling is used to develop a calibration to quantify the stresses based on the observed fluorescence intensity. These outcomes underscore the viability of employing these mechanoresponsive molecules as a potential means to visualize real‐time stress distribution, thereby facilitating the design of high‐performance composites.
Improving the effectiveness of personalized recommendations through attributional cues
Authors: Weidig Jakob , Kuehnl Christina 
Published: October 2023

AbstractFirms often employ personalized recommendations to help customers make purchase decisions. To improve the effectiveness of their personalized recommendations, some firms use cues to offer transparency on how they collect and use data to derive recommendations. We draw on attribution theory to propose an additional mechanism to improve the effectiveness of personalized recommendations with cues. Attributional cues, which refer to the underlying data (i.e., customers' own data vs. similar customers' data) used for personalized recommendations, aim to increase customers' self‐attribution of personalized recommendations. Specifically, in three experimental studies, we show that attributional cues increase customers' self‐attribution of personalized recommendations, leading to higher trust in and lower reactance to personalized recommendations. The accuracy and valence of the personalized recommendations moderate this attributional effect. As a result, employing attributional cues can be an essential and affordable tool for firms to increase the effectiveness of their personalized recommendations.
A systems biology approach and in vitro experiment indicated Rapamycin targets key cancer and cell cycle‐related genes and miRNAs in triple‐negative breast cancer cells
Authors: Tafti Ali , Shojaei Samaneh , Zali Hakimeh , Karima Saeed , Mohammadi‐Yeganeh Samira , Mondanizadeh Mahdieh 
Published: October 2023

AbstractAn anticancer drug known as Rapamycin acts by inhibiting the mammalian target of the Rapamycin pathway. This agent has recently been investigated for its potential therapeutic benefits in sensitizing drug‐resistant breast cancer (BC) treatment. The molecular mechanism underlying these effects, however, is still a mystery. Using a systems biology method and in vitro experiment, this study sought to discover essential genes and microRNAs (miRNAs) targeted by Rapamycin in triple‐negative BC (TNBC) cells to aid prospective new medications with less adverse effects in BC treatment. We developed the transcription factor‐miRNA‐gene and protein−protein interaction networks using the freely accessible microarray data sets. FANMOD and MCODE were utilized to identify critical regulatory motifs, clusters, and seeds. Then, functional enrichment analyses were conducted. Using topological analysis and motif detection, the most important genes and miRNAs were discovered. We used quantitative real‐time polymerase chain reaction (qRT‐PCR) to examine the effect of Rapamycin on the expression of the selected genes and miRNAs to verify our findings. We performed flow cytometry to investigate Rapamycin's impact on cell cycle and apoptosis. Furthermore, wound healing and migration assays were done. Three downregulated (PTGS2, EGFR, VEGFA) and three upregulated (c‐MYC, MAPK1, PIK3R1) genes were chosen as candidates for additional experimental verification. There were also three upregulated miRNAs (miR‐92a, miR‐16, miR‐20a) and three downregulated miRNAs (miR‐146a, miR‐145, miR‐27a) among the six selected miRNAs. The qRT‐PCR findings in MDA‐MB‐231 cells indicated that c‐MYC, MAPK1, PIK3R1, miR‐92a, miR‐16, and miR‐20a expression levels were considerably elevated following Rapamycin treatment, whereas PTGS2, EGFR, VEGFA, miR‐146a, and miR‐145 expression levels were dramatically lowered (p < 0.05). These genes are engaged in cancer pathways, transcriptional dysregulation in cancer, and cell cycle, according to the top pathway enrichment findings. Migration and wound healing abilities of the cells declined after Rapamycin treatment, and the number of apoptotic cells increased. We demonstrated that Rapamycin suppresses cell migration and metastasis in the TNBC cell line. In addition, our data indicated that Rapamycin induces apoptosis in this cell line. The discovered vital genes and miRNAs affected by Rapamycin are anticipated to have crucial roles in the pathogenesis of TNBC and its therapeutic resistance.