bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated stenosis estimation of coronary angiographies using end-to-end learning
Authors: Eschen Christian Kim , Banasik Karina , Dahl Anders Bjorholm , Chmura Piotr Jaroslaw , Bruun-Rasmussen Peter , Pedersen Frants , Køber Lars , Engstrøm Thomas , Bøttcher Morten , Winther Simon , Christensen Alex Hørby , Bundgaard Henning , Brunak Søren 
Published: January 2025

AbstractThe initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consuming and costly. Applying deep learning might yield a faster and more accurate stenosis assessment. We developed a deep learning model to classify cine loops into left or right coronary artery (LCA/RCA) or “other”. Data were obtained by manual annotation. Using these classifications, cine loops before revascularization were identified and curated automatically. Separate deep learning models for LCA and RCA were developed to estimate stenosis using these identified cine loops. From a cohort of 19,414 patients and 332,582 cine loops, we identified cine loops for 13,480 patients for model development and 5056 for internal testing. External testing was conducted using automated identified cine loops from 608 patients. For identification of significant stenosis (visual assessment of diameter stenosis > 70%), our model obtained a receiver operator characteristic (ROC) area under the curve (ROC-AUC) of 0.903 (95% CI: 0.900–0.906) on the internal test. The performance was evaluated on the external test set against visual assessment, 3D quantitative coronary angiography, and fractional flow reserve (≤ 0.80), obtaining ROC AUC values of 0.833 (95% CI: 0.814–0.852), 0.798 (95% CI: 0.741–0.842), and 0.780 (95% CI: 0.743–0.817), respectively. The deep-learning-based stenosis estimation models showed promising results for predicting stenosis. Compared to previous work, our approach demonstrates performance increase, includes all 16 segments, does not exclude revascularized patients, is externally tested, and is simpler using fewer steps.
Combining Unguided Web-Based Attentional Bias Modification and Affective Working Memory Training to Decrease Anxiety: A Randomized Controlled Trial
Authors: Nuijs M. D. , Larsen H. , Klein A. M. , Grasman R. P. P. P. , Wiers R. W. , de Voogd E. L. , Salemink E. 
Published: January 2025

Abstract
Purpose
Cognitive vulnerability to anxiety can partly be explained by an interplay of attentional biases and control processes. This suggests that when aiming to reduce anxiety, simultaneously reducing an attentional bias for threat and strengthening control processes would be the optimal approach. We investigated whether a combined web-based Attentional Bias Modification (ABM) with affective Working Memory Training (WMT) was effective in reducing trait anxiety relative to control conditions and whether state anxiety moderated ABM effects.

Methods
In this pre-registered randomized controlled trial, adults with heightened trait anxiety (n = 433) received either an active or control visual search ABM combined with an active or control emotional chessboard WMT training (2 × 2 design). Trait anxiety (primary outcome) was assessed at pre- (T1), mid- (T2), and post-training (T3), and at 1, 2, and 3-months follow-up. Attentional Bias (AB) and Working Memory (WM) capacity were assessed at T1, T2, T3, and FU3. State anxiety was measured prior to each training session.

Results
Irrespective of the training conditions, participants showed a decrease in trait anxiety over time. The ABM training was associated with stronger reductions in AB. The WMT training was not associated with more improvements in WM capacity relative to the control condition. No moderating effects of state anxiety, baseline AB or WM capacity were observed.

Conclusions
The findings suggested that the current type of ABM combined with WMT in a web-based format, without therapist support, was not effective in reducing trait anxiety beyond control conditions.
The study was registered in the Netherlands Trial Register (NTR-NL4525, https://www.onderzoekmetmensen.nl/en/trial/23135).
Evaluating the impact of media and feed combinations on CHO cell culture performance and monoclonal antibody (trastuzumab) production
Authors: Gyorgypal Aron , Chaturvedi Antash , Chopda Viki , Zhang Haoran , Chundawat Shishir P. S. 
Published: January 2025

AbstractThe choice of media and feeds significantly influences the performance of Chinese Hamster Ovary (CHO) mammalian cell cultures in producing desired biologics like monoclonal antibodies (mAb). Sub-optimal nutrient feed/media composition can severely impact cell proliferation and the quality of the final mAb product. For instance, proper protein glycosylation, crucial for mAb stability, safety, and efficacy, heavily relies on cell culture conditions. Currently, starter CHO culture media and daily supplemental feeds used in industrial manufacturing consist of proprietary composition of nutrients critical for mAb production. Standardized optimal media/feed combinations necessary for different cell lines are often lacking, necessitating individualized optimization for each cell line and mAb product. Here, we focused on a CHO-K1 cell line engineered to produce a Trastuzumab biosimilar and evaluated the effects of fourteen commercially relevant basal media and seven feeds on cell culture parameters such as viable cell density, viability, nutrient consumption, metabolite production, mAb titer, and mAb N-glycosylation. Our findings demonstrate clearly that the compositions of the basal medium and feed play a pivotal role in enhancing cell growth and mAb production. This work offers valuable insights into strategies for optimizing feed/media composition for glycosylated monoclonal antibody production using CHO cells.
Using Games and Activities to Increase Inhibitory Control Skills in Kindergarten-aged Children
Authors: Lambert Kailyn , DiCarlo Cynthia F. , Rueter Denise 
Published: January 2025

AbstractExecutive function skills are critical in early development, as they “form the foundation for children’s ability to self-regulate” (McLelland, et al., 2016, p. 242). Inhibitory control, one component of executive function, is the ability to suppress or inhibit responses to distractions when completing a task. The purpose of this study was to improve children’s inhibitory control in the classroom through ageappropriate games, which promote controlling emotions and remaining on task. Three target children were observed in the classroom they attended with their regular teacher. Baseline data revealed that the target children needed improvement on inhibitory control skills, which included controlling emotions and staying on task. The Inhibitory Control Intervention consisted of age-appropriate games (Uno, Perfection, Matching Cards, I Spy book) that promoted staying on task and controlling emotions independently and with small groups of peers. Data were collected using momentary time sampling for a ten minute period during free choice center time. When the Inhibitory Control Intervention was in place, there was an increase in both on task behavior and controlling emotions during free-choice center time. Providing opportunities for children to practice inhibitory control skills can be beneficial for increasing children’s self-regulation skills.
Growth performance, antioxidant, and immune responses of Nile tilapia (Oreochromis niloticus) fed on low-fishmeal diets enriched with sodium chloride and its adaptability to different salinity levels
Authors: Monier Mohamed N. , Abd El-Naby Asmaa S. , Fawzy Reham M. , Samir Fatma , Shady Sherien H. H. , Grana Youssif Shehata , Albaqami Najah M. , Abdel-Tawwab Mohsen 
Published: January 2025

Abstract
The current investigation assessed the beneficial impacts of dietary sodium chloride (NaCl) on the growth performance, oxidant/antioxidant, and immune responses of Nile tilapia (Oreochromis niloticus) and its adaptability to different salinity levels. After acclimating the fish to the laboratory conditions for 2 weeks, the acclimated fish (10.5 ± 0.16 g) were randomly distributed into 25 110-L rectangular glass tanks (15 fish/tank) to represent five groups in five replicates. The fish were fed with experimental feeds fortified with 0.0 (control), 5, 10, 15, and 20 g NaCl/kg feed for 60 days. Following the nutritional experiment, fish of all groups were adapted to different salinity levels from 0 to 32 g /L for a further 3 weeks, during which fish mortality was recorded. Blood samples were taken after the feeding trial and at a salinity level of 24 g/L. Growth performance and hematological parameters (WBCs, RBCs, hemoglobin, and hematocrit), total protein, albumin, globulin, digestive enzymes, antioxidant activity, and immunity status were markedly improved with increased NaCl rates in the fish diets up to 10 g/kg feed, after which all previous parameters were declined. On the other hand, feeding fish on a diet containing 10 g NaCl/kg feed showed substantially lower levels of cortisol, glucose, cholesterol, triglycerides, aspartate transaminase (AST), alanine transaminase (ALT), and malondialdehyde (MDA). Exposing the control fish group to salinity stress (32 g/L) for 3 weeks markedly decreased their digestive enzyme activity, immunity status, and antioxidant response, along with significant increases in cortisol, glucose, cholesterol, triglycerides, AST, ALT, and MDA levels. Conversely, feeding fish on a diet containing 10 g NaCl/kg feed alleviated the negative impacts of salinity stress and helped fish to tolerate salinity stress up to 24 g/L.
Opportunities and Challenges of Blockchain Technology for Negotiation Support Systems
Authors: Witt Josepha , Schoop Mareike , Knaus Konstantin 
Published: January 2025

AbstractBlockchain Technology (BCT) is the backbone of the next generation of the internet and thus affects how electronic business (e-business) is conducted. While the usage of BCT for the initiation and transaction phases in e-business has been studied, the negotiation aspect has not been considered in a comprehensive manner. The current literature on the utilisation of BCT in electronic negotiations (e-negotiations) primarily focuses on autonomous agents and lacks research on the support of e-negotiations conducted by human negotiators using negotiation support systems (NSSs). This results in the issue that the consequences of a transition to Web3.0-based NSSs are unclear, while other areas of e-business already apply Web3.0 technologies. We address this lack of knowledge following a design-oriented approach in three steps exploring the opportunities and challenges of using BCT for e-negotiations via NSSs. Firstly, the well-established negotiation support system Negoisst is extended by BCT features resulting in the development of a Web3.0-based NSS called NegoisstBCT to demonstrate the technical feasibility of this approach. Secondly, the potential opportunities and challenges of a Blockchain-based NSS are analysed referring to its technical architecture. Thirdly, a generalised view of the application of Web3.0-based NSSs in different settings is taken, discussing future research on BCT in e-negotiations. The present research thus fosters the application of Blockchain-based NSSs in e-negotiations and of NSSs in BCT application areas.
Prevalence and demographic profile of keratoconus among high school students in Kenya
Authors: Rashid Zahra Aly , Mashige Khathutshelo Percy , Moodley Vanessa Raquel 
Published: January 2025

Abstract
Purpose
To determine the prevalence and demographic profile of keratoconus (KC) among high school students in Nairobi County, Kenya.

Methods
In this population-based, prospective, cross-sectional study, multistage cluster sampling was used to select the participants. All students underwent visual acuity measurement, auto-refraction, retinoscopy and corneal topography. Students with a scissors reflex on retinoscopy or corneal topography patterns suspicious of KC were referred for corneal tomography.

Results
A total of 3051 students from 29 schools, with a mean age of 17.4 ± 1.6 years (range: 13–25 years) were screened. The prevalence of KC was 1.7% (n = 51) (95% CI, 1.2–2.2) and of KC suspects was 3.8% (n = 117) (95% CI, 3.2–4.6). There were no significant associations between the prevalence of KC and gender, age or ethnicity (all p > 0.05). In the KC group, 88.2% (n = 45) were unaware of their condition, 52.9% (n = 27) were treated for allergic conjunctivitis, 45.1% (n = 23) required spectacles, 11.8% (n = 6) were recommended contact lenses in at least one eye and 49.0% (n = 25) were recommended corneal cross-linking.

Conclusions
Among adolescents, the results of this study indicate a higher prevalence of KC compared to that reported in South Korea, Norway, Brazil and Caucasians in New Zealand, but less than that reported in some countries in the Middle East. Given the high prevalence revealed in this study, a national school screening program and clinical guidelines for screening, diagnosis and management of KC is recommended.
Field deployable trace radioisotope analysis through combined electrochemical and alpha spectroscopy methods
Authors: Giglio Daryl , Cho Sung Gu , Oksuz Ibrahim , Remy Jarod , Kandlakunta Praneeth , Hlinka Vasil , Downing Greg , Co Anne C. , Cao Lei R. 
Published: January 2025

Abstract
A method for depositing actinides directly onto a 4H-SiC Schottky barrier diode (SBD) detector as a field deployable actinides sensor was developed to enable off-site analysis, shortening the time to obtain critical information such as elements, concentration, and/or isotopic ratio related to the radiological situation. A thin film of Hg was first electrodeposited onto the Pt contact of the SiC diode, followed by chronoamperometric deposition of microgram levels of actinides under conventional control conditions. The 4H-SiC diode maintained consistent functionality through the electrodeposition process and showed resolved alpha-energy spectra that contained accurate isotopic information demonstrating the feasibility of a combined chemical and radiological sensor for field actinide detection and quantification.
Computational screening and molecular dynamics of natural compounds targeting the SH2 domain of STAT3: a multitarget approach using network pharmacology
Authors: Kumar Sachindra , Kumar B. Harish , Nayak Raksha , Pandey Samyak , Kumar Nitesh , Pai K. Sreedhara Ranganath 
Published: January 2025

AbstractSH2 (Src Homology 2) domains play a crucial role in phosphotyrosine-mediated signaling and have emerged as promising drug targets, particularly in cancer therapy. STAT3 (Signal Transducer and Activator of Transcription 3), which contains an SH2 domain, plays a pivotal role in cancer progression and immune evasion because it facilitates the dimerization of STAT3, which is essential for their activation and subsequent nuclear translocation. SH2 domain-mediated STAT3 inhibition disrupts this binding, reduces phosphorylation of STAT3, and impairs dimerization. This study employed an in silico approach to screen potential natural compounds that could target the SH2 domain of STAT3 and inhibit its function. The phytomolecules (182455) were retrieved from the ZINC 15 database and were docked using various modes like HTVS, SP, and XP. The phytomolecules exhibiting higher binding affinity were selected. MM-GBSA was performed to determine binding free energy, and the QikProp tool was utilized to assess the pharmacokinetic properties of potential hit compounds, narrowing down the list of candidates. Molecular dynamics simulations, thermal MM-GBSA, and WaterMap analysis were performed on compounds that exhibited favorable binding affinities and pharmacokinetic characteristics. Based on docking scores and binding interactions, ZINC255200449, ZINC299817570, ZINC31167114, and ZINC67910988 were identified as potential STAT3 inhibitors. ZINC67910988 demonstrated superior stability in molecular dynamics simulation and WaterMap analysis. Furthermore, DFT was performed to determine energetic and electronic properties, and HOMO and LUMO sites were predicted for electronic structure calculation. Additionally, network pharmacology was performed to map the compounds’ interactions within biological networks, highlighting their multitarget potential. Compound-target networks elucidate the relationships between compounds and multiple targets, along with their associated pathways and help to minimize off-target effects. The identified lead compound showed strong potential as a STAT3 inhibitor, warranting further validation through in vitro and in vivo studies.
Graphical abstract
Morphological operators that considerably improve the generalised hough transform
Authors: Baykal Ibrahim Cem 
Published: January 2025

Abstract
Hough Transform has difficulty detecting short lines. One way to improve the results is to oversample images in order to make those short lines longer. Unfortunately, this method is computationally expensive. In this article, three new binary morphological operators are introduced that can stretch binary edge images. The first operator thins the output of the edge detector so that the second one can stretch it. The Stretch operator does not alter the coordinates of the end points of a line (other than multiply by 3) nor make it thicker. The third one, the smooth operator, is designed for smoothing the jaggedness of the lines stretched by the stretch operator. These operators are a computationally efficient way of improving the results of the Hough Transform for lines, circles and other shapes. All of the operators are implemented using the OpenCV library and the source code is publicly shared on GitHub.
Damage location in mechanical structures by multi-objective pattern search
Authors: Günther Christian , Hofmeister Benedikt , Hübler Clemens , Jonscher Clemens , Ragnitz Jasper , Schubert Jenny , Steinbach Marc C. 
Published: January 2025

AbstractWe propose a multi-objective global pattern search algorithm for the task of locating and quantifying damage in flexible mechanical structures. This is achieved by identifying eigenfrequencies and eigenmodes from measurements and matching them against the results of a finite element simulation model, which leads to a nonsmooth nonlinear bi-objective parameter estimation problem. A derivative-free optimization algorithm is required since the problem is nonsmooth and also because complex mechanical simulation models are often solved using commercial black-box software. Moreover, the entire set of non-dominated solutions is of interest to practitioners. Most solution approaches published to date are based on meta-heuristics such as genetic algorithms. The proposed multi-objective pattern-search algorithm provides a mathematically well-founded alternative. It features a novel sorting procedure that reduces the complexity in our context. Test runs on two experimental structures with multiple damage scenarios are used to validate the approach. The results demonstrate that the proposed algorithm yields accurate damage locations and requires moderate computational resources. From the engineer’s perspective it represents a promising tool for structural health monitoring.
The life project account of eating disorders: agency in the pursuit of dietary goals
Authors: Benschop Cato , Kalis Annemarie 
Published: January 2025

AbstractRecovery from eating disorders is known to be difficult. Individuals with eating disorders are generally poorly responsive to change: their eating behaviour is rigid, and they are often inflexible as regards their eating-related goals. This opens up questions about their agency in eating. Why do individuals with eating disorders not “just stop” performing problematic eating behaviour, despite the enormous burden this behaviour may inflict in their lives? In this article, we seek to answer this question by providing a clear view of individuals’ own role in the development of and recovery from their eating disorders. Specifically, we adopt a situated perspective on agency to explain the poor responsiveness to change characteristic of these conditions. We suggest that in the pursuit of eating-related goals, individuals with eating disorders develop a project-like relation to eating, which not only pervasively changes the arrangement and content of their lives, but also their lives’ meaning. On this basis, we argue that the goal-inflexibility and rigidity of eating behaviour often ascribed to them might not be grounded in disorders or impairments of agency, but can in fact be understood in terms of their agency in eating. This is what we call the “life project account” of eating disorders.
Acteoside as a Multi-target Anti-SARS-CoV-2 Agent: An In-Silico Study
Authors: Shode Francis O. , Amobonye Ayodeji , Pillai Santhosh , Govender Penny P. , Govender Krishna K. 
Published: January 2025

AbstractThis study utilized a comprehensive computational approach to identify multi-targeted drug molecules against prominent SARS-CoV-2 druggable proteins. This is considered imperative as the damaging effects of the virus still lingers as a global threat and because of the increasing awareness of the enhanced therapeutic efficacy of multi-target drug. Thus, we investigated and identified novel therapeutic interventions for SARS-CoV-2 from an array of previously reported natural antiviral compounds. The systematic virtual screening was achieved by predicting the interaction potential of the selected natural lead molecules with important SARS-CoV-2 target proteins and comparing their binding energies with that of currently approved COVID-19 drugs, some of which are also the target proteins’ co-crystallized ligands. Out of the 22 selected compounds, Acteoside (Act) was identified as the most promising, as it exhibited remarkable molecular interactions with docking scores of − 11.68, − 9.81, − 8.64, − 10.38, − 11.75 and − 6.68 kcal/mol with SARS-CoV-2 Mpro, TMPRSS2, Cath L, RdRp, Sgp, and hACE2, respectively. The one-compound-multi-target prospect of Act was also demonstrated by its strong hydrogen bonding interactions with the active sites residues of the proteins. Furthermore, the stability of Act in the protein binding pockets were demonstrated by the binding free energies of − 76.7491, − 53.3057, − 54.4685, and − 45.7573 kcal/mol recorded for the 7BQY-Act, 7MEQ- Act, 5MQY-Act, 7BV2-Act complexes respectively; all which competed more favourably than the co-crystallized ligands during the 200 ns simulation. All our findings suggest Act as a potent multi-target anti-SARS-CoV-2 agent that can serve as the lead for the development of effective therapeutics against the virus.
Graphical Abstract