bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Cost–Utility Analysis of the Use of −125 mm Hg Closed-incision Negative Pressure Therapy in Oncoplastic Breast Surgery
Authors: Bloom Joshua A. , Wareham Carly , Chahine Elsa , Singhal Dhruv , Lin Samuel J. , Lee Bernard T. , Nardello Salvatore , Homsy Christopher , Persing Sarah M. , Chatterjee Abhishek 
Published: October 2024

Background:Closed-incision negative pressure therapy (ciNPT) decreases the rate of wound complications in oncoplastic breast surgery (OBS) but at a fiscal cost. Our aim was to examine the cost-utility of ciNPT in OBS.Methods:A literature review was performed to obtain the probabilities and outcomes for the treatment of unilateral breast cancer with OBS with ciNPT versus without. Reported utility scores in the literature were used to calculate quality-adjusted life years (QALYs) for each health state. A decision analysis tree was constructed with rollback analysis to determine the more cost-effective strategy. An incremental cost–utility ratio was calculated. Sensitivity analyses were performed.Results:OBS with ciNPT is associated with a higher clinical effectiveness (QALY) of 33.43 compared to without (33.42), and relative cost increase of $667.89. The resulting incremental cost-utility ratio of $57432.93/QALY favored ciNPT. In one-way sensitivity analysis, ciNPT was the more cost-effective strategy if the cost of ciNPT was less than $1347.02 or if the probability of wound dehiscence without was greater than 8.2%. Monte Carlo analysis showed a confidence of 75.39% that surgery with ciNPT is more cost effective.Conclusion:Despite the added cost, surgery with ciNPT is cost-effective. This finding is a direct result of decreased overall wound complications with ciNPT.
ChatGPT Virtual Assistant for Breast Reconstruction: Assessing Preferences for a Traditional Chatbot versus a Human AI VideoBot
Authors: Kim Trudy S. , Yu Catherine T. , Hinson Chandler , Fung Ethan , Allam Omar , Nazerali Rahim S. , Ayyala Haripriya S. 
Published: October 2024

Background:
Recent advancements in artificial intelligence (AI) have reshaped telehealth, with AI chatbots like Chat Generative Pretrained Transformer (ChatGPT) showing promise in various medical applications. ChatGPT is capable of offering basic patient education on procedures in plastic and reconstructive surgery (PRS), yet the preference between human AI VideoBots and traditional chatbots in plastic and reconstructive surgery remains unexplored.

Methods:
We developed a VideoBot by integrating ChatGPT with Synthesia, a human AI avatar video platform. The VideoBot was then integrated into Tolstoy to create an interactive experience that answered four of the most asked questions related to breast reconstruction. We used Zapier to develop a ChatGPT-integrated chatbot. A 16-item survey adapted from the 2005 validated measurement of online trust by Corritore et al was distributed online to female participants via Amazon Mechanical Turk.

Results:
A total of 396 responses were gathered. Participants were 18 to 64 years old. Perceptions of truthfulness, believability, content expertise, ease of use, and safety were similar between the VideoBot and chatbot. Most participants preferred the VideoBot compared with the traditional chatbot (63.5% versus 28.1%), as they found it more captivating than the text-based chatbot. Of the participants, 77% would have preferred to see someone who they identified with in terms of gender and race.

Conclusions:
Both the VideoBot and text-based chatbot show comparable effectiveness, usability, and trust. Nonetheless, the VideoBot’s human-like qualities enhance interactivity. Future research should explore the impact of race and gender concordance in telehealth to provide a more personalized experience for patients.
K-means clustering-based young users’ kitchen needs analysis and personalized design strategy
Authors: Xu Liye , Ren Tori Hui , Zhu Jie 
Published: October 2024

Abstract

Objectives:

This study aimed to understand the kitchen use behaviors and design preferences that cater to the needs of young people, encouraging their intention to cook and promoting healthy living.

Methods:
This study conducted a survey with 310 young people (aged 18–40) and applied the K-means clustering method for analysis. The silhouette coefficient feature in R was used to automatically assess the impact of different K-values on the clustering outcome, thereby determining the ideal number of clusters. After identifying the optimal number of clusters, K-means clustering was performed in R to segment the survey data and identify the primary user personas.

Results:
The analysis identified 2 user categories: (1) health-convenience advocates, that is, young people with a high level of education who seek efficient lifestyles but due to their busy schedules, have a significant need for quick and healthy dietary solutions; (2) cooking explorers, typically modern, educated young individuals who are passionate about cooking, viewing it not only as a necessity but also as a personal interest and a realm for exploration.

Conclusions:
This study provides valuable guidance for kitchen designers and home product developers to better understand the actual needs and preferences of young users, highlighting the importance of excellent kitchen design in promoting a healthy lifestyle and improving quality of life.
Outcomes of a policy to prioritize populations with expected healthcare barriers for subsidized preexposure prophylaxis care in Amsterdam, the Netherlands
Authors: Wijstma Eline , Jongen Vita W. , Boyd Anders , de Vries Henry J.C. , Schim van der Loeff Maarten F. , Prins Maria , Hoornenborg Elske 
Published: October 2024

Objective:
The Dutch HIV preexposure prophylaxis (PrEP) pilot provided subsidized PrEP care to maximum 2900 individuals at a time in Amsterdam. Populations with expected barriers to accessing PrEP elsewhere were prioritized for program inclusion. We evaluated their prior sexual health service engagement and PrEP need.

Design:
Cross-sectional analysis using enrolment data.

Methods:
We included individuals ever enrolled in the PrEP program at the Center for Sexual Health (CSH) Amsterdam between 2019 and 2023. We calculated the proportion belonging to higher-priority groups (i.e., <25 years old, transgender, sex worker, uninsured or migrant). We defined classes of sexual health service engagement in the 12 months preceding enrolment using latent class analysis (LCA). We compared engagement classes, sexual behavior and positivity of HIV and sexually transmitted infections (STI) between higher- and lower-priority groups.

Results:
2004/4075 (49%) individuals enrolled belonged to higher-priority groups. LCA showed three classes of prior engagement: “newly engaged” (14%, n = 551) were new to the CSH-Amsterdam; “PrEP initiators” (40%, n = 1642) previously visited the CSH-Amsterdam but had not used PrEP; “PrEP experienced” individuals (46%, n = 1882) previously accessed PrEP. Higher-priority groups were more often “newly engaged” or “PrEP-initiators” than “PrEP-experienced”. Higher-priority groups less often had condomless anal sex with casual partners or chemsex in the prior 6 months. Positivity of bacterial STI was similar between higher-priority (n = 300/2004, 15.0%) and lower-priority (n = 315/2071, 15.2%) groups. 13/14 HIV diagnoses at enrolment were in higher-priority groups.

Conclusion:
Higher-priority populations had less often previously used sexual health services and accounted for most new HIV diagnoses at enrolment. Engaging these populations in sexual healthcare, including PrEP, should be stressed.
Real-world Decision-making Process for Stereotactic Body Radiotherapy Versus Minimally Invasive Surgery in Early-stage Lung Cancer Patients
Authors: Vanstraelen Stijn , Tan Kay See , Adusumilli Prasad S. , Bains Manjit S. , Bott Matthew J. , Downey Robert J. , Gomez Daniel R. , Gray Katherine D. , Huang James , Isbell James M. , Molena Daniela , Park Bernard J. , Rimner Andreas , Rusch Valerie W. , Shaverdian Narek , Sihag Smita , Wu Abraham J. , Jones David R. , Rocco Gaetano 
Published: October 2024

Objective:
To generate a prediction model for selection of treatment modality for early-stage non-small cell lung cancer (NSCLC).

Summary Background Data:
Stereotactic body radiotherapy (SBRT) and minimally invasive surgery (MIS) are used in the local treatment of early-stage NSCLC. However, selection of patients for either SBRT or MIS remains challenging, due to the multitude of factors influencing the decision-making process.

Methods:
We analyzed 1291 patients with clinical stage I NSCLC treated with intended MIS or SBRT from January 2020 to July 2023. A prediction model for selection for SBRT was created based on multivariable logistic regression analysis. The receiver operating characteristic curve analysis stratified the cohort into 3 treatment-related risk categories. Post-procedural outcomes, recurrence and overall survival (OS) were investigated to assess the performance of the model.

Results:
In total, 1116 patients underwent MIS and 175 SBRT. The prediction model included age, performance status, previous pulmonary resection, MSK-Frailty score, FEV1 and DLCO, and demonstrated an area-under-the-curve of 0.908 (95%CI, 0.876–0.938). Based on the probability scores (n=1197), patients were stratified into a low-risk (MIS, n=970 and SBRT, n=28), intermediate-risk (MIS, n=96 and SBRT, n=53) and high-risk category (MIS, n=10 and SBRT, n=40). Treatment modality was not associated with OS (HR of SBRT, 1.67 [95%CI: 0.80-3.48]; P=0.20).

Conclusion:
Clinical expertise can be translated into a robust predictive model, guiding the selection of stage I NSCLC patients for MIS versus SBRT and effectively categorizing them into three distinct risk groups. Patients in the intermediate category could benefit most from multidisciplinary evaluation.
A depth map of visual space in the primary visual cortex
Authors: He Yiran , Colas Nieto Antonio , Blot Antonin , Znamenskiy Petr 
Published: October 2024

AbstractDepth perception is essential for visually-guided behavior. Computer vision algorithms use depth maps to encode distances in three-dimensional scenes but it is unknown whether such depth maps are generated by animal visual systems. To answer this question, we focused on motion parallax, a depth cue relying on visual motion resulting from movement of the observer. As neurons in the mouse primary visual cortex (V1) are broadly modulated by locomotion, we hypothesized that they may integrate vision- and locomotion-related signals to estimate depth from motion parallax. Using recordings in a three-dimensional virtual reality environment, we found that conjunctive coding of visual and self-motion speeds gave rise to depth-selective neuronal responses. Depth-selective neurons could be characterized by three-dimensional receptive fields, responding to specific virtual depths and retinotopic locations. Neurons tuned to a broad range of virtual depths were found across all sampled retinotopic locations, showing that motion parallax generates a depth map of visual space in V1.
Latent-TGF-β has a domain swapped architecture
Authors: Jin Mingliang , Seed Robert , Shing Tiffany , Cheng Yifan , Nishimura Stephen L. 
Published: October 2024

AbstractThe multifunctional cytokine TGF-β is produced in a latent form (L-TGF-β) where a RGD containing homodimeric prodomain forms a “ring” encircling mature TGF-β shielding it from its receptors. Thus L-TGF-β must be activated to function, a process driven by dynamic allostery resulting from integrin binding the L-TGF-β RGD motif. Here we provide critical evidence that defines a domain-swapped architecture of L-TGF-β, an essential component in the dynamic allostery mechanism of L-TGF-β activation.
Clioquinol improves catalytic activity of PHGDH and shows antiseizure efficacy in patients
Authors: Thevissen Karin , Ny Annelii , Copmans Daniëlle , Tits Jana , Kamata Kenichi , Gielis Eva , Longin Kevin , Sourbron Jo , Thergarajan Peravina , Tan Tracie Huey-Lin , Ali Idrish , Jones Nigel C. , O’Brien Terence J. , Monif Mastura , Semple Bridgette D. , Germeys Christine , Frizzi Benedetta , Minniti Virginia , Perrone Sebastian , Linster Carole L. , Elia Ilaria , Van Den Bosch Ludo , Cammue Bruno P.A. , Voet Arnout , Lagae Lieven , de Witte Peter 
Published: October 2024

AbstractDrug-resistant epilepsy (DRE) affects over 25 million people worldwide and is associated with neuroinflammation. We identified haloquinolines from a drug repurposing library as potent activators of phosphoglycerate dehydrogenase (PHGDH) enzyme, which converts 3-phosphoglycerate to generate serine and the neurotransmitter glycine, and steers anti-inflammatory responses. The most promising haloquinoline clioquinol can increase the catalytic activity of PHGDH up to 2.5-fold, thereby increasing de novo glycine biosynthesis and resulting in reduced glutamate levels. Moreover, we show that clioquinol has PHGDH-dependent antiseizure activity as well as anti-inflammatory propertiesin vivousing various zebrafish and mouse epilepsy models. Finally, we demonstrate the efficacy of clioquinol as add-on treatment in severe DRE patients. Therefore, increasing activity of PHGDH is a promising new approach to treat DRE.
Hypoxia threatens coral and sea anemone early life stages
Authors: Glass Benjamin H. , Barott Katie L. 
Published: October 2024

AbstractSeawater hypoxia is increasing globally and can drive declines in organismal performance across a wide range of marine taxa. However, the effects of hypoxia on early life stages (e.g., larvae and juveniles) are largely unknown, and it is unclear how evolutionary and life histories may influence these outcomes. Here, we addressed this question by comparing hypoxia responses across early life stages of three cnidarian species representing a range of life histories: the reef-building coralGalaxea fascicularis, a broadcast spawner with horizontal transmission of endosymbiotic algae (family Symbiodiniaceae); the reef-building coralPorites astreoides, a brooder with vertical endosymbiont transmission; and the estuarine sea anemoneNematostella vectensis, a non-symbiotic broadcast spawner. Transient exposure of larvae to hypoxia (dissolved oxygen < 2 mg L-1for 6 h) led to decreased larval swimming and growth for all three species, which resulted in impaired settlement for the corals. Coral-specific responses also included larval swelling, depressed respiration rates, and decreases in symbiont densities and function. These results indicate both immediate and latent negative effects of hypoxia on cnidarian physiology and coral-algal mutualisms specifically. In addition,G. fascicularisandP. astreoideswere sensitized to heat stress following hypoxia exposure, suggesting that the combinatorial nature of climate stressors will lead to declining performance for corals. However, sensitization to heat stress was not observed inN. vectensisexposed to hypoxia, suggesting that this species may be more resilient to combined stressors. Overall, these results emphasize the importance of reducing anthropogenic carbon emissions to limit further ocean deoxygenation and warming.
LightMed: A Light-weight and Robust FFT-Based Model for Adversarially Resilient Medical Image Segmentation
Authors: Pham Viet Tien , Ha Minh Hieu , Bui Bao V. Q. , Hy Truong Son 
Published: October 2024

AbstractAccurate and reliable medical image segmentation is essential for computer-aided diagnosis and formulating appropriate treatment plans. However, real-world challenges such as suboptimal image quality and computational resource constraints hinder the effective deployment of deep learning-based segmentation models. To address these issues, we propose LightMed, a novel efficient neural architecture based on Fast Fourier Transform (FFT). Different from prior works, our model directly learns on the frequency domain, harnessing its resilience to noise and un-even brightness, which common artifacts found in medical images. By focusing on low-frequency image components, we significantly reduce computational complexity while preserving essential image features. Our deep learning architecture extracts discriminative features directly from the Fourier domain, leading to improved segmentation accuracy and robustness compared to traditional spatial domain methods. Additionally, we propose a new benchmark incorporating various levels of Gaussian noise to assess susceptibility to noise attacks. The experimental results demonstrate that LightMed not only effectively eliminates noise and consistently achieves accurate image segmentation but also shows robust resistance to imperceptible adversarial attacks compared to other baseline models. Our new benchmark datasets and source code are publicly available athttps://github.com/HySonLab/LightMed.
Tracing Cellular Senescence in Bone: Time-Dependent Changes in Osteocyte Cytoskeleton Mechanics and Morphology
Authors: Tilton Maryam , Liao Junhan , Kim Chanul , Shaygani Hossein , Potes Maria Astudillo , Cordova Domenic , Kirkland James L. , Miller Kyle M. 
Published: October 2024

AbstractAging-related bone loss significantly impacts the growing elderly population globally, leading to debilitating conditions such as osteoporosis. Senescent osteocytes play a crucial role in the aging process of bone. This longitudinal study examines the impact of continuous local and paracrine exposure to senescence-associated secretory phenotype (SASP) factors on senescence-associated biophysical and biomolecular markers in osteocytes. We found significant cytoskeletal stiffening in irradiated osteocytes, accompanied by expansion of F-actin areas and a decline in dendritic integrity. These changes, correlating with alterations in pro-inflammatory cytokine levels and osteocyte-specific gene expression, support the reliability of biophysical markers for identifying senescent osteocytes. Notably, local accumulation of SASP factors had a more pronounced impact on osteocyte properties than paracrine effects, suggesting that the interplay between local and paracrine exposure could substantially influence cellular aging. This study underscores the importance of osteocyte mechanical and morphological properties as biophysical markers of senescence, highlighting their time-dependence and differential effects of local and paracrine SASP exposure. Collectively, our investigation into biophysical senescence markers offer unique and reliable functional hallmarks for non-invasive identification of senescent osteocytes, providing insights that could inform therapeutic strategies to mitigate aging-related bone loss.
A new spin on chemotaxonomy using non-proteogenic amino acids as a test case
Authors: Gibson Makenzie , Thives Santos William , Oyler Alan R. , Busta Lucas , Schenck Craig A. 
Published: October 2024

AbstractPremiseSpecialized metabolites serve various roles for plants and humans. Unlike core metabolites, specialized metabolites are restricted to certain lineages. Thus, in addition to their ecological functions, specialized metabolites can serve as diagnostic markers of plant lineages.MethodsWe investigate the phylogenetic distribution of plant metabolites using non-proteogenic amino acids (NPAA). Species-NPAA associations for eight NPAAs were identified from the existing literature and placed within a phylogenetic context using R packages and interactive tree of life. To confirm and extend the literature-based NPAA distribution we selected azetidine-2-carboxylic acid (Aze) and screened over 70 diverse plants using GC-MS.ResultsLiterature searches identified > 900 NPAA-relevant articles, which were manually inspected to identify 560 species-NPAA associations. NPAAs were mapped at the order and genus level, revealing that some NPAAs are restricted to single orders, whereas others are present across divergent taxa. The distribution of Aze across plants suggests a convergent evolutionary history.DiscussionThe reliance on chemotaxonomy has decreased over the years. Yet, there is still value in placing metabolites within a phylogenetic context to understand the evolutionary processes of plant chemical diversification. This approach can be applied to metabolites present in any organism and compared at a range of taxonomic levels.
Test-Retest Reliability and Repeatability of Behavioral and Electrophysiological Markers in an Eriksen Flanker Task
Authors: Bogdanov Mario , Scott Jason N. , Esfand Shiba M. , Boyle Brian W. , Lees Ty , Li Mohan , Woronko Sarah E. , Linton Samantha R. , Miller Courtney , Li Shuang , Bolton Paula , Meisner Robert C. , Pizzagalli Diego A. 
Published: October 2024

AbstractCognitive control processes, specifically interference control and error monitoring, are often impaired across neuropsychiatric disorders and have been proposed as transdiagnostic markers of psychopathology and important treatment targets. Accurately probing them, however, requires understanding the psychometric properties of the measures used to assess cognitive control, including their intra- and interindividual stability over time. Using an Eriksen Flanker Task, we tested behavioral and electrophysiological readouts of cognitive control in 36 healthy individuals (26 female, 10 male,Mage±SD=33.18±14.49, range=19–68) and evaluated their test-retest reliability across 48 hours by calculating Pearson correlations and Intraclass Correlation Coefficients (ICCs) to assess group-level stability. Moreover, we assessed repeatability through Coefficients of Variation (CVs) and Bland-Altman statistics, to investigate the degree of change in participants’ absolute scores. We found satisfactory-to-excellent test-retest reliability for most cognitive control measures, with condition-specific metrics generally being more reliable than difference scores. Regarding repeatability, we observed considerable intraindividual variability in absolute scores over time, which differed widely between participants. These results demonstrate that measurements of cognitive control may display substantial intraindividual variability across sessions despite demonstrating high test-retest reliability and vice versa. Our findings expand the current literature by providing novel information about the stability of behavioral and physiological markers of cognitive control over time. Moreover, they may have important implications for the application and evaluation of clinical interventions by highlighting the usefulness of considering repeatability measures in addition to the more commonly reported test-retest reliability metrics, when tracking changes over time in clinically relevant processes within single individuals.
Characterization of Autophagy Cargo Profiles during Starvation and Exercise with a Novel Autophagosome Isolation Method
Authors: Farhan Mohd , Nguyen Trezze P , Zhang Dakai , Liang Hong , Zhou Yong , Yang Hongyuan , Du Guangwei , Liu Yang 
Published: October 2024

AbstractAutophagy is a cellular process to clear unwanted and dysfunctional cellular cargoes, which are sequestered in autophagosomes before their delivery to lysosomes for degradation. Autophagy cargo selection, mediated by cargo receptors, varies across cell types and conditions. Understanding the cargo features is essential for elucidating autophagy’s function in specific physiological or pathological contexts. Here we present a simple and rapid method for isolating LC3B-positive autophagosomes from the tissues of GFP-LC3 transgenic mice, a widely used autophagy reporter model. When combined with quantitative proteomics, this approach enables efficient in vivo characterization of autophagy cargoes. We applied this method to establish autophagy cargo profiles in skeletal muscle during starvation and exercise-two physiological conditions that activate autophagy-and identified distinct cargo selection patterns, with significantly higher levels of ER-phagy and ribophagy observed during starvation. We further revealed the ER-phagy receptors TEX264 and FAM134B as potential mediators of the elevated ER-phagy under starvation. In summary, we report an efficient workflow for in vivo autophagy cargo characterization and provide detailed analysis and comparison of cargo profiles under starvation and exercise conditions.