bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preventing inadvertent drain removal using a novel catheter securement device
Authors: Russo Mario , Di Capua John , Anlage April , Bendre Hersh , Kusner Jon , Lieberman Graham , Jang Sean , Irani Zubin , Arellano Ronald S. , Sutphin Patrick D. , Smolinski-Zhao Sara , Daye Dania , Kalva Sanjeeva P. , Succi Marc D. , Som Avik , Thabet Ashraf 
Published: September 2023

AbstractPercutaneous drains have provided a minimally invasive way to treat a wide range of disorders from abscess drainage to enteral feeding solutions to treating hydronephrosis. These drains suffer from a high rate of dislodgement of up to 30% resulting in emergency room visits, repeat hospitalizations, and catheter repositioning/replacement procedures, which incur significant morbidity and mortality. Using ex vivo and in vivo models, a force body diagram was utilized to determine the forces experienced by a drainage catheter during dislodgement events, and the individual components which contribute to drainage catheter securement were empirically collected. Prototypes of a skin level catheter securement and valved quick release system were then developed. The system was inspired by capstans used in boating for increasing friction of a line around a central spool and quick release mechanisms used in electronics such as the Apple MagSafe computer charger. The device was tested in a porcine suprapubic model, which demonstrated the effectiveness of the device to prevent drain dislodgement. The prototype demonstrated that the miniaturized versions of technologies used in boating and electronics industries were able to meet the needs of preventing dislodgement of patient drainage catheters.
Rapid, high-sensitivity detection of biomolecules using dual-comb biosensing
Authors: Miyamura Shogo , Oe Ryo , Nakahara Takuya , Koresawa Hidenori , Okada Shota , Taue Shuji , Tokizane Yu , Minamikawa Takeo , Yano Taka-Aki , Otsuka Kunihiro , Sakane Ayuko , Sasaki Takuya , Yasutomo Koji , Kajisa Taira , Yasui Takeshi 
Published: September 2023

AbstractRapid, sensitive detection of biomolecules is important for biosensing of infectious pathogens as well as biomarkers and pollutants. For example, biosensing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still strongly required for the fight against coronavirus disease 2019 (COVID-19) pandemic. Here, we aim to achieve the rapid and sensitive detection of SARS-CoV-2 nucleocapsid protein antigen by enhancing the performance of optical biosensing based on optical frequency combs (OFC). The virus-concentration-dependent optical spectrum shift produced by antigen–antibody interactions is transformed into a photonic radio-frequency (RF) shift by a frequency conversion between the optical and RF regions in the OFC, facilitating rapid and sensitive detection with well-established electrical frequency measurements. Furthermore, active-dummy temperature-drift compensation with a dual-comb configuration enables the very small change in the virus-concentration-dependent signal to be extracted from the large, variable background signal caused by temperature disturbance. The achieved performance of dual-comb biosensing will greatly enhance the applicability of biosensors to viruses, biomarkers, environmental hormones, and so on.
Large strain correction for tunnel analyses considering hydromechanical coupling and ground anisotropy
Authors: Natale Matteo , Nordas Alexandros N. , Kopp Seraina , Anagnostou Georgios 
Published: September 2023

AbstractThe deformations resulting from tunnel analyses for heavily squeezing ground may be very large, necessitating numerical formulations that consider geometric nonlinearity. Alternatively, for a certain class of problems, routine small strain analyses can be performed, and their results can be corrected to account for large strains by means of a simple hyperbolic expression proposed a few years ago. The present paper shows that this correction equation is sufficiently accurate for practical purposes even in the case of anisotropic material behaviour and for hydromechanically coupled, steady state or transient analyses of tunnels. The accuracy of the equation prediction varies amongst these cases but is satisfactory overall for the purpose of preliminary calculations, thus broadening its value and usefulness as a preliminary design tool.
Large numbers of patients are needed to obtain additional approvals for new cancer drugs: A retrospective cohort study
Authors: Ouimet Charlotte , Hutchinson Nora , Wang Catherine , Matyka Carol , Del Paggio Joseph C. , Kimmelman Jonathan 
Published: September 2023

AbstractPatients endure risk and uncertainty when they participate in clinical trials. We previously estimated that 12,217 patient-participants are required to bring a new cancer drug to market. However, many development efforts are aimed at extending the label of already approved drugs. Herein, we estimate the number of patients required to extend the indication of an FDA approved cancer drug. We identified all anti-cancer drugs approved by the FDA 2012 to 2015. We searched clinicaltrials.gov to identify all drug development trajectories (i.e., a series of one or more clinical trials testing a unique drug-indication pairing) launched after FDA approval for each drug. We identified which trajectories produced the following milestones: secondary FDA approvals, secondary FDA approvals achieving substantial clinical benefit in ESMO-MCBS, and recommendations in NCCN clinical practice guidelines. Using the total enrollment, we estimated the number of patients needed to reach each milestone. Forty-two drugs were approved by the FDA between 2012 and 2015, leading to 451 post-approval trajectories enrolling 129,548 patients. Fourteen secondary FDA approvals were identified, of which 4 met the ESMO-MCBS definition of substantial clinical benefit. Fourteen NCCN off-label recommendations were obtained. A total of 9253, 32,387 and 4627 patients were needed to attain an FDA approval, an approval with substantial clinical benefit on ESMO-MCBS, and an NCCN guideline recommendation, respectively. The number of patients needed to obtain a first secondary FDA approval was 16,596. Large numbers of patients are needed to extend the label of prior FDA approved drugs. Label extension after approval entails lower marginal costs for developers. However, extra knowledge available to researchers about a drug’s safety and pharmacology after FDA approval does not appear to translate into reduced patient numbers required for developing new cancer applications.
The influence of voice familiarity and linguistic content on dogs’ ability to follow human voice direction
Authors: Langner Livia , Žakelj Sabina , Bolló Henrietta , Topál József , Kis Anna 
Published: September 2023

AbstractDomestic dogs are well-known for their abilities to utilize human referential cues for problem solving, including following the direction of human voice. This study investigated whether dogs can locate hidden food relying only on the direction of human voice and whether familiarity with the speaker (owner/stranger) and the relevance of auditory signal features (ostensive addressing indicating the intent for communication to the receiver; linguistic content) affect performance. N = 35 dogs and their owners participated in four conditions in a two-way object choice task. Dogs were presented with referential auditory cues representing different combinations of three contextual parameters: the (I) ‘familiarity with the human informant’ (owner vs. stranger), the (II) communicative function of attention getter (ostensive addressing vs. non-ostensive cueing) and the (III) ‘tone and content of the auditory cue’ (high-pitched/potentially relevant vs. low-pitched/potentially irrelevant). Dogs also participated in a ‘standard’ pointing condition where a visual cue was provided. Significant differences were observed between conditions regarding correct choices and response latencies, suggesting that dogs’ response to auditory signals are influenced by the combination of content and intonation of the message and the identity of the speaker. Dogs made correct choices the most frequently when context-relevant auditory information was provided by their owners and showed less success when auditory signals were coming from the experimenter. Correct choices in the ‘Pointing’ condition were similar to the experimenter auditory conditions, but less frequent compared to the owner condition with potentially relevant auditory information. This was paralleled by shorter response latencies in the owner condition compared to the experimenter conditions, although the two measures were not related. Subjects’ performance in response to the owner- and experimenter-given auditory cues were interrelated, but unrelated to responses to pointing gestures, suggesting that dogs’ ability to understand the referential nature of auditory cues and visual gestures partly arise from different socio-cognitive skills.
Deepfake smiles matter less—the psychological and neural impact of presumed AI-generated faces
Authors: Eiserbeck Anna , Maier Martin , Baum Julia , Abdel Rahman Rasha 
Published: September 2023

AbstractHigh-quality AI-generated portraits (“deepfakes”) are becoming increasingly prevalent. Understanding the responses they evoke in perceivers is crucial in assessing their societal implications. Here we investigate the impact of the belief that depicted persons are real or deepfakes on psychological and neural measures of human face perception. Using EEG, we tracked participants’ (N = 30) brain responses to real faces showing positive, neutral, and negative expressions, after being informed that they are either real or fake. Smiling faces marked as fake appeared less positive, as reflected in expression ratings, and induced slower evaluations. Whereas presumed real smiles elicited canonical emotion effects with differences relative to neutral faces in the P1 and N170 components (markers of early visual perception) and in the EPN component (indicative of reflexive emotional processing), presumed deepfake smiles showed none of these effects. Additionally, only smiles presumed as fake showed enhanced LPP activity compared to neutral faces, suggesting more effortful evaluation. Negative expressions induced typical emotion effects, whether considered real or fake. Our findings demonstrate a dampening effect on perceptual, emotional, and evaluative processing of presumed deepfake smiles, but not angry expressions, adding new specificity to the debate on the societal impact of AI-generated content.
Time series forecasting methods in emergency contexts
Authors: Villoria Hernandez P. , Mariñas-Collado I. , Garcia Sipols A. , Simon de Blas C. , Rodriguez Sánchez M. C. 
Published: September 2023

AbstractThe key issues in any fire emergency are recognising fire hotspots, locating the emergency intervention team (EI), following the evolution of the fire, and selecting the evacuation path. This leads to the study and development of HelpResponder, a solution capable of detecting the focus of interest in hostile spaces derived from fire due to high temperatures without visibility. A study is conducted to determine which model best predicts measured $$\text {CO}_2$$

CO
2

levels. The variables used are temperature, humidity, and air quality, obtained from sensors installed in a fire tower. The statistical methods applied, namely ARIMAX, KNN, SVM, and TBATS, allow the adjustment and modelling of the variables. Explanatory variables with temporal structure are incorporated into SVM, a new improvement proposal. Moreover, combining different models showed the best efficiency in forecasting. In fact, another contribution of our work lies in offering a small-scale prediction system that is specifically designed to save batteries. The system has been tested and validated in a hostile environment (building), simulating real emergency situations. The system has been tested and validated in several hostile environments, simulating real emergency situations. It can help firefighters respond faster in an emergency. This reduces the risks associated with the lack of information and improves the time for tactical operations, which could save lives.
Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists
Authors: Ostmeier Sophie , Axelrod Brian , Verhaaren Benjamin F. J. , Christensen Soren , Mahammedi Abdelkader , Liu Yongkai , Pulli Benjamin , Li Li-Jia , Zaharchuk Greg , Heit Jeremy J. 
Published: September 2023

AbstractWe determined if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke patients who were enrolled in the DEFUSE 3 trial were included in this study. Three experienced neuroradiologists independently segmented hypodensity that reflected the ischemic core on each scan. The neuroradiologist with the most experience (expert A) served as the ground truth for deep learning model training. Two additional neuroradiologists’ (experts B and C) segmentations were used for data testing. The 232 studies were randomly split into training and test sets. The training set was further randomly divided into 5 folds with training and validation sets. A 3-dimensional CNN architecture was trained and optimized to predict the segmentations of expert A from NCCT. The performance of the model was assessed using a set of volume, overlap, and distance metrics using non-inferiority thresholds of 20%, 3 ml, and 3 mm, respectively. The optimized model trained on expert A was compared to test experts B and C. We used a one-sided Wilcoxon signed-rank test to test for the non-inferiority of the model-expert compared to the inter-expert agreement. The final model performance for the ischemic core segmentation task reached a performance of 0.46 ± 0.09 Surface Dice at Tolerance 5mm and 0.47 ± 0.13 Dice when trained on expert A. Compared to the two test neuroradiologists the model-expert agreement was non-inferior to the inter-expert agreement, $$p < 0.05$$

p
<
0.05

. The before, CNN accurately delineates the hypodense ischemic core on NCCT in acute ischemic stroke patients with an accuracy comparable to neuroradiologists.
Association of nonalcoholic fatty liver disease and venous thromboembolic disease in healthy adults in Korea: a nationwide study
Authors: Kim Chang-Yeon , Kim Namkyun , Roh Jae-Hyung 
Published: September 2023

AbstractNonalcoholic fatty liver disease (NAFLD) can lead to a prothrombotic state, which significantly burdens public healthcare systems. This study investigated the relationship between NAFLD and the incidence of venous thromboembolism (VTE) in Korea using National Health Insurance Service-National Sample Cohort 2.0 data. A population-based retrospective cohort analysis was conducted on 472,212 healthy individuals who underwent national health check-ups in Korea from 2009 to 2014. NAFLD was defined using the fatty liver index (FLI). Multivariate Cox proportional hazards regression models were used to analyze the association between FLI and VTE. Individuals were categorized into four quartiles according to FLI values (first quartile [Q1], 0–5.7; second quartile [Q2], 5.8–15.3; third quartile [Q3], 15.4–37.2; and fourth quartile [Q4], > 37.2). The incidence of VTE tended to increase with increasing FLI values (Q1, 598 [0.5%]; Q2, 1,033 [0.9%]; Q3, 1,443 [1.2%]; and Q4, 1,425 [1.2%]). In the age- and sex-adjusted multivariate model, the hazard ratio (HR) (95% confidence interval [CI]) was 1.47 (1.33‒1.62) for Q4 compared with Q1. After adjusting for clinical variables with P < 0.1 in the univariate analyses, the HR (95% CI) was 1.45 (1.30‒1.62) for Q4 compared with Q1. FLI was related to VTE risk, as confirmed after adjusting for other risk factors.
The role of vesicle trafficking genes in osteoblast differentiation and function
Authors: Zhu Hui , Su Yingying , Wang Jamie , Wu Joy Y. 
Published: September 2023

AbstractUsing Col2.3GFP transgenic mice expressing GFP in maturing osteoblasts, we isolated Col2.3GFP+ enriched osteoblasts from 3 sources. We performed RNA-sequencing, identified 593 overlapping genes and confirmed these genes are highly enriched in osteoblast differentiation and bone mineralization annotation categories. The top 3 annotations are all associated with endoplasmic reticulum and Golgi vesicle transport. We selected 22 trafficking genes that have not been well characterized in bone for functional validation in MC3T3-E1 pre-osteoblasts. Transient siRNA knockdown of trafficking genes including Sec24d, Gosr2, Rab2a, Stx5a, Bet1, Preb, Arf4, Ramp1, Cog6 and Pacs1 significantly increased mineralized nodule formation and expression of osteoblast markers. Increased mineralized nodule formation was suppressed by concurrent knockdown of P4ha1 and/or P4ha2, encoding collagen prolyl 4-hydroxylase isoenzymes. MC3T3-E1 pre-osteoblasts with knockdown of Cog6, Gosr2, Pacs1 or Arf4 formed more and larger ectopic mineralized bone nodules in vivo, which was attenuated by concurrent knockdown P4ha2. Permanent knockdown of Cog6 and Pacs1 by CRISPR/Cas9 gene editing in MC3T3-E1 pre-osteoblasts recapitulated increased mineralized nodule formation and osteoblast differentiation. In summary, we have identified several vesicle trafficking genes with roles in osteoblast function. Our findings provide potential targets for regulating bone formation.
Study on the relationship between permeability coefficient and porosity, the confining and osmotic pressure of attapulgite-modified loess
Authors: Zhang Zhengrui , Pishro Ahad Amini , Zhang Lili , Ma Xuejiao , Matlan Siti Jahara , Taha Nazaruddin Abdul , Pishro Mojdeh Amini 
Published: September 2023

AbstractThis study investigated attapulgite-modified loess as an efficient and cost-effective method for creating an impermeable liner for landfills in regions with scarce clay resources. Laboratory permeability tests were conducted using a flexible wall permeameter to determine the permeability of compacted loess and attapulgite mixtures under varying osmotic conditions. The relationship between the permeability coefficient, attapulgite dosage, radial pressure, and osmotic pressure was analyzed. Nuclear magnetic resonance and scanning electron microscopy were also used to observe the microstructure of the modified loess. The results showed that attapulgite dosage significantly reduced the permeability coefficient, but the effect became limited when the content surpassed 10%. The decrease of the permeability coefficient of the modified loess is mainly due to the filling of pores between the loess by attapulgite, which makes the pore size and throat size of the modified loess smaller. The modified loess displayed a sheet structure that contributed to an increased permeability coefficient due to increased radial pressure. This study provides valuable insights into using attapulgite-modified loess as a material for landfill lining in regions with scarce clay resources.
Validation and characterization of a novel blood–brain barrier platform for investigating traumatic brain injury
Authors: Bolden Christopher T. , Skibber Max A. , Olson Scott D. , Zamorano Rojas Miriam , Milewicz Samantha , Gill Brijesh S. , Cox Charles S. 
Published: September 2023

AbstractThe Blood–Brain Barrier (BBB) is a highly-selective physiologic barrier responsible for maintaining cerebral homeostasis. Innovative in vitro models of the BBB are needed to provide useful insights into BBB function with CNS disorders like traumatic brain injury (TBI). TBI is a multidimensional and highly complex pathophysiological condition that requires intrinsic models to elucidate its mechanisms. Current models either lack fluidic shear stress, or neglect hemodynamic parameters important in recapitulating the human in vivo BBB phenotype. To address these limitations in the field, we developed a fluid dynamic novel platform which closely mimics these parameters. To validate our platform, Matrigel-coated Transwells were seeded with brain microvascular endothelial cells, both with and without co-cultured primary human astrocytes and bone-marrow mesenchymal stem cells. In this article we characterized BBB functional properties such as TEER and paracellular permeability. Our platform demonstrated physiologic relevant decreases in TEER in response to an ischemic environment, while directly measuring barrier fluid fluctuation. These recordings were followed with recovery, implying stability of the model. We also demonstrate that our dynamic platform is responsive to inflammatory and metabolic cues with resultant permeability coefficients. These results indicate that this novel dynamic platform will be a valuable tool for evaluating the recapitulating BBB function in vitro, screening potential novel therapeutics, and establishing a relevant paradigm to evaluate the pathophysiology of TBI.
Interstellar photovoltaics
Authors: Schopp Nora , Abdikamalov Ernazar , Mostovyi Andrii I. , Parkhomenko Hryhorii P. , Solovan Mykhailo M. , Asare Ernest A. , Bazan Guillermo C. , Nguyen Thuc-Quyen , Smoot George F. , Brus Viktor V. 
Published: September 2023

AbstractThe term 'Solar Cell’ is commonly used for Photovoltaics that convert light into electrical energy. However, light can be harvested from various sources not limited to the Sun. This work considers the possibility of harvesting photons from different star types, including our closest neighbor star Proxima Centauri. The theoretical efficiency limits of single junction photovoltaic devices are calculated for different star types at a normalized light intensity corresponding to the AM0 spectrum intensity with AM0 = 1361 W/m2. An optimal bandgap of > 12 eV for the hottest O5V star type leads to 47% Shockley-Queisser photoconversion efficiency (SQ PCE), whereas a narrower optimal bandgap of 0.7 eV leads to 23% SQ PCE for the coldest red dwarf M0, M5.5Ve, and M8V type stars. Organic Photovoltaics (OPVs) are the most lightweight solar technology and have the potential to be employed in weight-restricted space applications, including foreseeable interstellar missions. With that in mind, the Sun’s G2V spectrum and Proxima Centauri’s M5.5Ve spectrum are considered in further detail in combination with two extreme bandgap OPV systems: one narrow bandgap system (PM2:COTIC-4F, Eg = 1.14 eV) and one wide bandgap system (PM6:o-IDTBR, Eg = 1.62 eV). Semi-empirically modeled JV-curves reveal that the absorption characteristics of the PM2:COTIC-4F blend match well with both the G2V and the M5.5Ve spectrum, yielding theoretical PCEs of 22.6% and 12.6%, respectively. In contrast, the PM6:o-IDTBR device shows a theoretical PCE of 18.2% under G2V illumination that drops sharply to 0.9% under M5.5Ve illumination.