bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socio‐demography induced social capital for community resilience in Bangladesh
Authors: Tuya Jannatun Hussna , Mahmud Khandakar Hasan 
Published: March 2024

AbstractBeing a deltaic country and for its geographic location, Bangladesh faces devastating damages every year. In a new global index, Bangladesh has been ranked 7th among the countries most affected by extreme weather events in 20 years since 1998. The ability of a community to recover from a disaster is very much associated with strong social connections. For this research, both secondary and primary data sources have been considered. Socio‐demographic characteristics have been identified from a community‐based general questionnaire and BBS. Also, a newly developed integrated method has been used to measure the social capital of the community. Several statistical methods were used to analyse the data, such as factor analysis (PCA), ROC curve analysis and several GIS techniques, throughout the research. Results show that significant socio‐demographic variables help to develop a specific type of social capital. Consequently, social capital indirectly works as a key for recovering from any disaster impact and could build resilience to hazards.
A practical evaluation of measures derived from compressed sensing diffusion spectrum imaging
Authors: Radhakrishnan Hamsanandini , Zhao Chenying , Sydnor Valerie J. , Baller Erica B. , Cook Philip A. , Fair Damien A. , Giesbrecht Barry , Larsen Bart , Murtha Kristin , Roalf David R. , Rush‐Goebel Sage , Shinohara Russell T. , Shou Haochang , Tisdall M. Dylan , Vettel Jean M. , Grafton Scott T. , Cieslak Matthew , Satterthwaite Theodore D. 
Published: March 2024

AbstractDiffusion Spectrum Imaging (DSI) using dense Cartesian sampling ofq‐space has been shown to provide important advantages for modeling complex white matter architecture. However, its adoption has been limited by the lengthy acquisition time required. Sparser sampling ofq‐space combined with compressed sensing (CS) reconstruction techniques has been proposed as a way to reduce the scan time of DSI acquisitions. However prior studies have mainly evaluated CS‐DSI in post‐mortem or non‐human data. At present, the capacity for CS‐DSI to provide accurate and reliable measures of white matter anatomy and microstructure in the living human brain remains unclear. We evaluated the accuracy and inter‐scan reliability of 6 different CS‐DSI schemes that provided up to 80% reductions in scan time compared to a full DSI scheme. We capitalized on a dataset of 26 participants who were scanned over eight independent sessions using a full DSI scheme. From this full DSI scheme, we subsampled images to create a range of CS‐DSI images. This allowed us to compare the accuracy and inter‐scan reliability of derived measures of white matter structure (bundle segmentation, voxel‐wise scalar maps) produced by the CS‐DSI and the full DSI schemes. We found that CS‐DSI estimates of both bundle segmentations and voxel‐wise scalars were nearly as accurate and reliable as those generated by the full DSI scheme. Moreover, we found that the accuracy and reliability of CS‐DSI was higher in white matter bundles that were more reliably segmented by the full DSI scheme. As a final step, we replicated the accuracy of CS‐DSI in a prospectively acquired dataset (n = 20, scanned once). Together, these results illustrate the utility of CS‐DSI for reliably delineating in vivo white matter architecture in a fraction of the scan time, underscoring its promise for both clinical and research applications.
Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm
Authors: Montella Alfredo , Tranfa Mario , Scaravilli Alessandra , Barkhof Frederik , Brunetti Arturo , Cole James , Gravina Michela , Marrone Stefano , Riccio Daniele , Riccio Eleonora , Sansone Carlo , Spinelli Letizia , Petracca Maria , Pisani Antonio , Cocozza Sirio , Pontillo Giuseppe 
Published: March 2024

AbstractWhile neurological manifestations are core features of Fabry disease (FD), quantitative neuroimaging biomarkers allowing to measure brain involvement are lacking. We used deep learning and the brain‐age paradigm to assess whether FD patients' brains appear older than normal and to validate brain‐predicted age difference (brain‐PAD) as a possible disease severity biomarker. MRI scans of FD patients and healthy controls (HCs) from a single Institution were, retrospectively, studied. The Fabry stabilization index (FASTEX) was recorded as a measure of disease severity. Using minimally preprocessed 3D T1‐weighted brain scans of healthy subjects from eight publicly available sources (N = 2160; mean age = 33 years [range 4–86]), we trained a model predicting chronological age based on a DenseNet architecture and used it to generate brain‐age predictions in the internal cohort. Within a linear modeling framework, brain‐PAD was tested for age/sex‐adjusted associations with diagnostic group (FD vs. HC), FASTEX score, and both global and voxel‐level neuroimaging measures. We studied 52 FD patients (40.6 ± 12.6 years; 28F) and 58 HC (38.4 ± 13.4 years; 28F). The brain‐age model achieved accurate out‐of‐sample performance (mean absolute error = 4.01 years, R2 = .90). FD patients had significantly higher brain‐PAD than HC (estimated marginal means: 3.1 vs. −0.1, p = .01). Brain‐PAD was associated with FASTEX score (B = 0.10, p = .02), brain parenchymal fraction (B = −153.50, p = .001), white matter hyperintensities load (B = 0.85, p = .01), and tissue volume reduction throughout the brain. We demonstrated that FD patients' brains appear older than normal. Brain‐PAD correlates with FD‐related multi‐organ damage and is influenced by both global brain volume and white matter hyperintensities, offering a comprehensive biomarker of (neurological) disease severity.
Thalamic contributions to psychosis susceptibility: Evidence from co‐activation patterns accounting for intra‐seed spatial variability (μCAPs)
Authors: Delavari Farnaz , Sandini Corrado , Kojovic Nada , Saccaro Luigi F. , Eliez Stephan , Van De Ville Dimitri , Bolton Thomas A. W. 
Published: March 2024

AbstractThe temporal variability of the thalamus in functional networks may provide valuable insights into the pathophysiology of schizophrenia. To address the complexity of the role of the thalamic nuclei in psychosis, we introduced micro‐co‐activation patterns (μCAPs) and employed this method on the human genetic model of schizophrenia 22q11.2 deletion syndrome (22q11.2DS). Participants underwent resting‐state functional MRI and a data‐driven iterative process resulting in the identification of six whole‐brain μCAPs with specific activity patterns within the thalamus. Unlike conventional methods, μCAPs extract dynamic spatial patterns that reveal partially overlapping and non‐mutually exclusive functional subparts. Thus, the μCAPs method detects finer foci of activity within the initial seed region, retaining valuable and clinically relevant temporal and spatial information. We found that a μCAP showing co‐activation of the mediodorsal thalamus with brain‐wide cortical regions was expressed significantly less frequently in patients with 22q11.2DS, and its occurrence negatively correlated with the severity of positive psychotic symptoms. Additionally, activity within the auditory–visual cortex and their respective geniculate nuclei was expressed in two different μCAPs. One of these auditory–visual μCAPs co‐activated with salience areas, while the other co‐activated with the default mode network (DMN). A significant shift of occurrence from the salience+visuo‐auditory‐thalamus to the DMN + visuo‐auditory‐thalamus μCAP was observed in patients with 22q11.2DS. Thus, our findings support existing research on the gatekeeping role of the thalamus for sensory information in the pathophysiology of psychosis and revisit the evidence of geniculate nuclei hyperconnectivity with the audio‐visual cortex in 22q11.2DS in the context of dynamic functional connectivity, seen here as the specific hyper‐occurrence of these circuits with the task‐negative brain networks.
Higher‐order functional connectivity analysis of resting‐state functional magnetic resonance imaging data using multivariate cumulants
Authors: Hindriks Rikkert , Broeders Tommy A. A. , Schoonheim Menno M. , Douw Linda , Santos Fernando , van Wieringen Wessel , Tewarie Prejaas K. B. 
Published: March 2024

AbstractBlood‐level oxygenation‐dependent (BOLD) functional magnetic resonance imaging (fMRI) is the most common modality to study functional connectivity in the human brain. Most research to date has focused on connectivity between pairs of brain regions. However, attention has recently turned towards connectivity involving more than two regions, that is, higher‐order connectivity. It is not yet clear how higher‐order connectivity can best be quantified. The measures that are currently in use cannot distinguish between pairwise (i.e., second‐order) and higher‐order connectivity. We show that genuine higher‐order connectivity can be quantified by using multivariate cumulants. We explore the use of multivariate cumulants for quantifying higher‐order connectivity and the performance of block bootstrapping for statistical inference. In particular, we formulate a generative model for fMRI signals exhibiting higher‐order connectivity and use it to assess bias, standard errors, and detection probabilities. Application to resting‐state fMRI data from the Human Connectome Project demonstrates that spontaneous fMRI signals are organized into higher‐order networks that are distinct from second‐order resting‐state networks. Application to a clinical cohort of patients with multiple sclerosis further demonstrates that cumulants can be used to classify disease groups and explain behavioral variability. Hence, we present a novel framework to reliably estimate genuine higher‐order connectivity in fMRI data which can be used for constructing hyperedges, and finally, which can readily be applied to fMRI data from populations with neuropsychiatric disease or cognitive neuroscientific experiments.
Brain‐based sex differences in schizophrenia: A systematic review of fMRI studies
Authors: Salehi Mohammad Amin , Zafari Rasa , Mohammadi Soheil , Shahrabi Farahani Mohammad , Dolatshahi Mahsa , Harandi Hamid , Poopak Amirhossein , Dager Stephen R. 
Published: March 2024

AbstractSchizophrenia is a chronic psychiatric disorder with characteristic symptoms of delusions, hallucinations, lack of motivation, and paucity of thought. Recent evidence suggests that the symptoms of schizophrenia, negative symptoms in particular, vary widely between the sexes and that symptom onset is earlier in males. A better understanding of sex‐based differences in functional magnetic resonance imaging (fMRI) studies of schizophrenia may provide a key to understanding sex‐based symptom differences. This study aimed to summarize sex‐based functional magnetic resonance imaging (fMRI) differences in brain activity of patients with schizophrenia. We searched PubMed and Scopus to find fMRI studies that assessed sex‐based differences in the brain activity of patients with schizophrenia. We excluded studies that did not evaluate brain activity using fMRI, did not evaluate sex differences, and were nonhuman or in vitro studies. We found 12 studies that met the inclusion criteria for the current systematic review. Compared to females with schizophrenia, males with schizophrenia showed more blood oxygen level‐dependent (BOLD) activation in the cerebellum, the temporal gyrus, and the right precuneus cortex. Male patients also had greater occurrence of low‐frequency fluctuations in cerebral blood flow in frontal and parietal lobes and the insular cortex, while female patients had greater occurrence of low‐frequency fluctuations in the hippocampus, parahippocampus, and lentiform nucleus. The current study summarizes fMRI studies that evaluated sex‐based fMRI brain differences in schizophrenia that may help to shed light on the underlying pathophysiology and further understanding of sex‐based differences in the clinical presentation and course of the disorder.
A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease
Authors: Candia‐Rivera Diego , Vidailhet Marie , Chavez Mario , De Vico Fallani Fabrizio 
Published: March 2024

AbstractParkinson's disease (PD) often shows disrupted brain connectivity and autonomic dysfunctions, progressing alongside with motor and cognitive decline. Recently, PD has been linked to a reduced sensitivity to cardiac inputs, that is, cardiac interoception. Altogether, those signs suggest that PD causes an altered brain–heart connection whose mechanisms remain unclear. Our study aimed to explore the large‐scale network disruptions and the neurophysiology of disrupted interoceptive mechanisms in PD. We focused on examining the alterations in brain–heart coupling in PD and their potential connection to motor symptoms. We developed a proof‐of‐concept method to quantify relationships between the co‐fluctuations of brain connectivity and cardiac sympathetic and parasympathetic activities. We quantified the brain–heart couplings from electroencephalogram and electrocardiogram recordings from PD patients on and off dopaminergic medication, as well as in healthy individuals at rest. Our results show that the couplings of fluctuating alpha and gamma connectivity with cardiac sympathetic dynamics are reduced in PD patients, as compared to healthy individuals. Furthermore, we show that PD patients under dopamine medication recover part of the brain–heart coupling, in proportion with the reduced motor symptoms. Our proposal offers a promising approach to unveil the physiopathology of PD and promoting the development of new evaluation methods for the early stages of the disease.
Cure indicators and prevalence by stage at diagnosis for breast and colorectal cancer patients: A population‐based study in Italy
Authors: Dal Maso Luigino , Toffolutti Federica , De Paoli Angela , Giudici Fabiola , Francisci Silvia , Bucchi Lauro , Zorzi Manuel , Fusco Mario , Caldarella Adele , Rossi Silvia , De Angelis Roberta , Botta Laura , Ravaioli Alessandra , Casella Claudia , Musolino Antonino , Vitale Maria Francesca , Mangone Lucia , Fanetti Anna Clara , Carpin Eva , Burgio Lo Monaco Maria Giovanna , Migliore Enrica , Gambino Maria Letizia , Ferrante Margherita , Stracci Fabrizio , Gasparotti Cinzia , Carrozzi Giuliano , Cavallo Rossella , Mazzucco Walter , Ballotari Paola , Ferretti Stefano , Sampietro Giuseppe , Rizzello Roberto Vito , Boschetti Lorenza , Cascone Giuseppe , Mian Michael , Pesce Maria Teresa , Piras Daniela , Galasso Rocco , Bella Francesca , Seghini Pietro , Pinna Pasquala , Crocetti Emanuele , Serraino Diego , Guzzinati Stefano ,   AIRTUM Working Group
Published: March 2024

AbstractPeople alive many years after breast (BC) or colorectal cancer (CRC) diagnoses are increasing. This paper aimed to estimate the indicators of cancer cure and complete prevalence for Italian patients with BC and CRC by stage and age. A total of 31 Italian Cancer Registries (47% of the population) data until 2017 were included. Mixture cure models allowed estimation of net survival (NS); cure fraction (CF); time to cure (TTC, 5‐year conditional NS >95%); cure prevalence (who will not die of cancer); and already cured (prevalent patients living longer than TTC). 2.6% of all Italian women (806,410) were alive in 2018 after BC and 88% will not die of BC. For those diagnosed in 2010, CF was 73%, 99% when diagnosed at stage I, 81% at stage II, and 36% at stages III–IV. For all stages combined, TTC was >10 years under 45 and over 65 years and for women with advanced stages, but ≤1 year for all BC patients at stage I. The proportion of already cured prevalent BC women was 75% (94% at stage I). Prevalent CRC cases were 422,407 (0.7% of the Italian population), 90% will not die of CRC. For CRC patients, CF was 56%, 92% at stage I, 71% at stage II, and 35% at stages III–IV. TTC was ≤10 years for all age groups and stages. Already cured were 59% of all prevalent CRC patients (93% at stage I). Cancer cure indicators by stage may contribute to appropriate follow‐up in the years after diagnosis, thus avoiding patients' discrimination.
Novel serum protein biomarker panel for early diagnosis of pancreatic cancer
Authors: Byeon Sooin , McKay Matthew J. , Molloy Mark P. , Gill Anthony J. , Samra Jaswinder S. , Mittal Anubhav , Sahni Sumit 
Published: March 2024

AbstractPancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers. Late presentation of disease at the time of diagnosis is one of the major reasons for dismal prognostic outcomes for PDAC patients. Currently, there is a lack of clinical biomarkers, which can be used to diagnose PDAC patients at an early resectable stage. This study performed proteomic mass spectrometry to identify novel blood‐based biomarkers for early diagnosis of PDAC. Serum specimens from 88 PDAC patients and 88 healthy controls (60 discovery cohort and 28 validation cohort) were analyzed using data independent acquisition high resolution mass spectrometry to identify candidate biomarker proteins. A total of 249 proteins were identified and quantified by the mass spectrometric analysis. Six proteins were markedly (>1.5 fold) and significantly (p < .05; q < 0.1) increased in PDAC patients compared to healthy controls in discovery cohort. Notably, four of these six proteins were significantly upregulated in an independent validation cohort. The top three upregulated proteins (i.e., Polymeric Immunoglobulin Receptor [PIGR], von Willebrand Factor [vWF], and Fibrinogen) were validated using enzyme linked immunosorbent assay, which led to selection of PIGR and vWF as a diagnostic biomarker panel for PDAC. The panel showed high ability to diagnose early stage (stage I and II) PDAC patients (area under the curve [AUC]: 0.8926), which was further improved after the addition of clinically used prognostic biomarker (Ca 19‐9) to the panel (AUC: 0.9798). In conclusion, a novel serum protein biomarker panel for early diagnosis of PDAC was identified.
Direct inkjet writing of polylactic acid/β‐tricalcium phosphate composites for bone tissue regeneration: A proof‐of‐concept study
Authors: Nayak Vasudev Vivekanand , Sanjairaj Vijayavenkataraman , Behera Rakesh Kumar , Smay James E. , Gupta Nikhil , Coelho Paulo G. , Witek Lukasz 
Published: March 2024

AbstractThere is an ever‐evolving need of customized, anatomic‐specific grafting materials for bone regeneration. More specifically, biocompatible and osteoconductive materials, that may be configured dynamically to fit and fill defects, through the application of an external stimulus. The objective of this study was to establish a basis for the development of direct inkjet writing (DIW)‐based shape memory polymer‐ceramic composites for bone tissue regeneration applications and to establish material behavior under thermomechanical loading. Polymer‐ceramic (polylactic acid [PLA]/β‐tricalcium phosphate [β‐TCP]) colloidal gels were prepared of different w/w ratios (90/10, 80/20, 70/30, 60/40, and 50/50) through polymer dissolution in acetone (15% w/v). Cytocompatibility was analyzed through Presto Blue assays. Rheological properties of the colloidal gels were measured to determine shear‐thinning capabilities. Gels were then extruded through a custom‐built DIW printer. Space filling constructs of the gels were printed and subjected to thermomechanical characterization to measure shape fixity (Rf) and shape recovery (Rr) ratios through five successive shape memory cycles. The polymer‐ceramic composite gels exhibited shear‐thinning capabilities for extrusion through a nozzle for DIW. A significant increase in cellular viability was observed with the addition of β‐TCP particles within the polymer matrix relative to pure PLA. Shape memory effect in the printed constructs was repeatable up to 4 cycles followed by permanent deformation. While further research on scaffold macro‐/micro‐geometries, and engineered porosities are warranted, this proof‐of‐concept study suggested suitability of this polymer‐ceramic material and the DIW 3D printing workflow for the production of customized, patient specific constructs for bone tissue engineering.
A theoretical investigation of benzothiadiazole derivatives for high efficiency OLEDs
Authors: Zhu Zhiye , Wei Xiaoqing , Liang Wanzhen 
Published: March 2024

AbstractIt is of great importance and worthy of efforts to give a clear structure–property relationship and microscopic mechanism of fluorescence emitters with high quantum yield. In this work, we perform a detailed computational investigation to give an explanation to the high efficiency of a fluorescence emitter XBTD‐NPh based TADF sensitized fluorescence (TSF) OLEDs, and construct a symmetry structure DSBNA‐BTD. Theoretical calculations show that XBTD‐NPh is a long‐time phosphorescent material at 77 K and TADF is attributed to the RISC of T1 to S1 state. For DSBNA‐BTD, excitons arrived at T1 state comes to a large rate of nonradiatively path to the ground state, meaning it is may not be an efficient TADF molecule. For both molecules, the fast IC between T2 and T1 state results in that the hot exciton channel T1‐Tn‐S1 makes no contribution to the TADF.
Incidence and outcomes of postoperative fluid collections after minimally invasive distal pancreatectomy without placement of surgical drain. A prospective observational cohort study
Authors: Lluís Núria , Kunzler Filipe , Asbun Domenech , Jimenez Ramon E. , Asbun Horacio J. 
Published: March 2024

AbstractBackground/PurposeThere is uncertainty about the role of prophylactic intra‐abdominal drains after distal pancreatectomy. In the present study, we aimed to describe the long‐term outcomes of postoperative pancreatic collections in patients who underwent a minimally invasive distal pancreatectomy (MIDP) without surgical drain placement.MethodsFrom 2018 to 2022, consecutive patients who underwent a MIDP were recorded. Patients were followed at 90 days, 6 months, and in the long term. The use of interventional procedures and antibiotic therapy were documented, and the overall evolution of the collections was assessed.ResultsA total of 91 patients underwent MIDP; 11 were excluded; 80 were analyzed. Median age was 63 (51–73) years; 61.3% were women. Most lesions (71.3%) were malignant; 15 patients received neoadjuvant therapy. Procedures were laparoscopic (87.5%) or robotic (12.5%). Incidence of postoperative pancreatic collections was 33%; 10 patients were symptomatic. Interventional endoscopic (n = 3) or percutaneous (n = 3) procedures were required. At a follow‐up of 24 (17.5–33.1) months, 18 collections resolved completely, eight partially, and one increased.ConclusionsPatients who undergo MIDP without surgical drain placement develop well‐tolerated pancreatic collections. Although a minority may require endoscopic or percutaneous drainage, the majority can be managed conservatively and resolve spontaneously in the long term.
Synthesis, characterization, and antibacterial activity studies of β‐lactam capped silver nanoparticles
Authors: Thakur Aarti , Pandey Suvidha , Mittal Mona , Thapar Renu 
Published: March 2024

AbstractA highly efficient, novel, two‐phase liquid method using phase transfer catalyst is reported to prepare β‐lactam‐conjugated silver nanoparticles as an approach to improve antibacterial activity of β‐lactams. In the method assisted by cetyltrimethylammonium bromide, NaBH4 reduced AgNO3 producing silver NPs that are coated with β‐lactams. The studies conducted provide a generalized method applicable to all types of β‐lactam substrates for capping on silver NPs. The NPs have been characterized by UV–Visible, Fourier transform infrared spectroscopy, x‐ray diffraction, transmission electron microscopy, and dynamic light scattering methods.