bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the lived-experience and support-needs of people living with antimicrobial resistance in the UK through interpretative phenomenological analysis
Authors: Hamilton Ryan A. , Lond Benjamin , Wilde Lucina , Williamson Iain 
Published: February 2024

AbstractIn the UK nearly 54,000 infections were caused by serious resistant bacteria in 2022 but there is a lack of evidence regarding the long-term impact on patients’ lives nor what support they need. This research aimed to answer the question: “What are the key elements of experience and support needs of people living with AMR in the UK?”. In-depth semi-structured interviews were undertaken with nine people who had been living with resistant infections or colonisation for 12-months or longer. Interpretive Phenomenological Analysis was used to study the accounts and illustrate individuals’ experiences and support-needs. Participants experienced marginalisation and isolation but also empowerment; described across three major themes: (1) I live in fear and stigma: The long-term impact of AMR; (2) I am battling on my own: A journey toward self-advocacy; and (3) I like to share my story: The role of AMR communities. All participants perceived a lack of knowledge, information, and support from clinicians; difficulties accessing reliable and understandable information; and lack of understanding from family and friends. Charities and online groups provided support with coping with their situation and improving mental health and wellbeing. Understandable and relatable information regarding the science of AMR, transmission, prevention, and living with AMR needs to be provided by clinicians and healthcare services around the time of diagnosis to readily available after diagnosis.
Landscape connectivity for predicting the spread of ASF in the European wild boar population
Authors: Goicolea Teresa , Cisneros-Araújo Pablo , Vega Cecilia Aguilar , Sánchez-Vizcaíno Jose Manuel , Mateo-Sánchez MCruz , Bosch Jaime 
Published: February 2024

AbstractAfrican swine fever (ASF) is an infectious and highly fatal disease affecting wild and domestic swine, which is unstoppably spreading worldwide. In Europe, wild boars are one of the main drivers of spread, transmission, and maintenance of the disease. Landscape connectivity studies are the main discipline to analyze wild-species dispersal networks, and it can be an essential tool to predict dispersal-wild boar movement routes and probabilities and therefore the associated potential ASF spread through the suitable habitat. We aimed to integrate wild boar habitat connectivity predictions with their occurrence, population abundance, and ASF notifications to calculate the impact (i.e., the capacity of a landscape feature to favor ASF spread) and the risk (i.e., the likelihood of a habitat patch becoming infected) of wild boar infection across Europe. Furthermore, we tested the accuracy of the risk of infection by comparing the results with the temporal distribution of ASF cases. Our findings identified the areas with the highest impact and risk factors within Europe's central and Eastern regions where ASF is currently distributed. Additionally, the impact factor was 31 times higher on habitat patches that were infected vs non-infected, proving the utility of the proposed approach and the key role of wild boar movements in ASF-spread. All data and resulting maps are openly accessible and usable.
The influence of the COMT Val158Met polymorphism on prefrontal TDCS effects on aggression
Authors: Weidler Carmen , Hofhansel Lena , Regenbogen Christina , Müller Dario , Clemens Benjamin , Montag Christian , Reif Andreas , Habel Ute 
Published: February 2024

AbstractIncreasing dorsolateral prefrontal cortex (DLPFC) activity by anodal transcranial direct current stimulation (tDCS) enhances cognitive control and might reduce aggression. The Val158Met polymorphism within the catechol-O-methyltransferase gene (rs4680) plays a pivotal role in prefrontal dopamine signaling, displaying associations with aggressive behavior, and potentially influencing the effects of tDCS. In a double-blind, sham-controlled study, we investigated the influence of rs4680 on tDCS effects on aggression. While undergoing functional magnetic resonance imaging, 89 healthy male participants performed the Taylor aggression paradigm before and immediately after tDCS. Actively stimulated participants (n = 45) received anodal tDCS (1.5 mA) for 20 min targeting the right DLPFC. Carriers of the val-allele (val+; n = 46; active tDCS n = 23) were compared to met-allele homozygotes (val−; n = 43; active tDCS n = 22). Analysis revealed decreased aggressive behavior in the val− group following active tDCS (p < 0.001). The val+ group showed increased aggression during the second session (p < 0.001) with an even higher increase following active as compared to sham tDCS (p < 0.001). No effects of stimulation or rs4680 on brain activation were found. Our study provides evidence for opposite tDCS effects on aggressive behavior in val-carriers and val-noncarriers. By shedding light on genetic factors predicting tDCS responsivity, the study will help to pave the way toward individualized—and thus more effective—tDCS treatment options.
Metaheuristic aided structural topology optimization method for heat sink design with low electromagnetic interference
Authors: Al Ali Musaddiq , Shimoda Masatoshi , Benaissa Brahim , Kobayashi Masakazu , Takeuchi Tsunehiro , Al-Shawk Ameer , Ranjbar Sina 
Published: February 2024

AbstractThis study investigates the application of the Metaheuristic Aided Structural Topology Optimization (MASTO) method as a novel approach to address the multiphysics design challenge of creating a heat sink with both high heat conductivity and minimal Electromagnetic Interference (EMI). A distinctive 2D layout with elongated fins is examined for electromagnetic traits, highlighting resonance-related EMI concerns. MASTO proves to be a valuable tool for navigating the complex design space, yielding thoughtfully optimized solutions that harmonize efficient heat dissipation with effective EMI control. By merging simulation findings with practical observations, this study underscores the potential of the MASTO method in achieving effective designs for intricate multiphysics optimization problems. Specifically, the method's capacity to address the complex interplay of heat transfer with convection and the suppression of electromagnetic emissions is showcased. Moreover, the study demonstrates the feasibility of translating these solutions into tangible outcomes through manufacturing processes.
Influence of the argon admixture on the reactive oxide species formation inside an atmospheric pressure oxygen plasma jet
Authors: Barkhordari Ali , Karimian Saeed , Shahsavari Sajedeh , Krawczyk Dorota , Rodero Antonio 
Published: February 2024

AbstractIn this work, a new atmospheric pressure plasma generated in a wire-to-multiwire dielectric barrier discharge on pure oxygen is introduced. This special geometry of 13 wires (one central wire and 12 ones on the external tube) is feeding by a radio frequency (RF) power (13.56 MHz, 1 kW) and produces a stable discharge. The capacity of this device to produce oxygen reactive species and the influence of Ar gas mixture (1–3%) on this production are investigated. The main characteristics of this DBD plasma are measured using optical emission spectroscopy techniques. The rotational, vibrational, and excitation temperatures along with the electron density are determined from OH (A2Σ → X2Π) band and the Stark broadening of the hydrogen atomic line at 486.1 nm, respectively. The temporal evolution and spatial distribution of charged and reactive species in this plasma are also numerically studied by a Global scheme and a two-dimension fluid model based on drift–diffusion approximation. A kinetic dominated by electron collisions is obtained for this plasma. The generation and movement of electrons, positive and negative ions in the wire-to-multiwire configuration are analyzed and discussed according to changes the electric field and plasma frequency. It is shown that the density of both charged and reactive species increases by adding a small amount of argon to the oxygen plasma while the electron temperature reduces in this configuration. A high level of agreement is observed between the experimental and simulation results for the electron density and temperature in this DBD plasma.
Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning
Authors: Lee Yeon-Hee , Won Jong Hyun , Auh Q.-Schick , Noh Yung-Kyun , Lee Sung-Woo 
Published: February 2024

AbstractXerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderly. We aimed to use machine learning algorithms, to identify significant predictors for the presence of xerostomia. This study is the first to predict xerostomia with salivary flow rate in elderly based on artificial intelligence. In a cross-sectional study, 829 patients with oral discomfort were enrolled, and six features (sex, age, unstimulated and stimulated salivary flow rates (UFR and SFR, respectively), number of systemic diseases, and medication usage) were used in four machine learning algorithms to predict the presence of xerostomia. The incidence of xerostomia increased with age. The SFR was significantly higher than the UFR, and the UFR and SFR were significantly correlated. The UFR, but not SFR, decreased with age significantly. In patients more than 60 years of age, the UFR had a significantly higher predictive accuracy for xerostomia than the SFR. Using machine learning algorithms with tenfold cross-validation, the prediction accuracy increased significantly. In particular, the prediction accuracy of the multilayer perceptron (MLP) algorithm that combined UFR and SFR data was significantly better than either UFR or SFR individually. Moreover, when sex, age, number of systemic diseases, and number of medications were added to the MLP model, the prediction accuracy increased from 56 to 68%.
Sensor extended imaging workflow for creating fit for purpose models in basic and applied cell biology
Authors: Schueler Julia , Sjöman Heikki , Kriesi Carlo 
Published: February 2024

AbstractWhile various engineering disciplines spent years on developing methods and workflows to increase their R&D efficiency, the field of cell biology has seen limited evolution in the fundamental approaches to interact with living cells. Perturbations are mostly of chemical nature, and physiologically relevant contexts and stimuli are left with limited attention, resulting in a solution space constrained within the boundaries of presently manageable perturbations. To predict in the laboratory how a drug will work in a human patient, cell biology must have a closer look at life and strive to mimic the human being in all his complexity. By implementing an iterative process from perturbation to measurement and vice versa, the authors suggest using a sensor-extended imaging workflow to implement product development practices to cell biology, opening a physiologically relevant solution space for the development of truly translational and predictive fit for purpose in vitro cell models.
A three-electrode dual-power-supply electrochemical pumping system for fast and energy efficient lithium extraction and recovery from solutions
Authors: Sasaki Kazuya , Shin-mura Kiyoto , Honda Shunsuke , Tazoe Hirofumi , Niwa Eiki 
Published: February 2024

AbstractThe demand for Li-ion batteries (LIBs) for use in electric vehicles, which is key to realizing a decarbonized society, is accelerating. However, the supply of Li resources has recently become a major issue, thereby necessitating the development of economical and sustainable technologies of brine/seawater-based Li extraction and recycling Li from spent LIBs. This paper presents an innovative electrochemical pumping technology based on a new cell structure for Li extraction/recovery. This system can provide large electrochemical driving forces while preventing the occurrence of electronic conduction due to electrolyte reduction. This electrochemical pumping system allows extraction/recovery of Li ions from the anode side to the cathode side, rather than the diffusion of other ions, due to the ion-diffusion-bottleneck size of the electrolyte material. Using this system, high-purity Li can be collected with high energy efficiency and at least 464 times faster than that via conventional electrochemical pumping, even with a commercially available Li-ion electrolyte plate.
Artificial Intelligence to Determine Fetal Sex
Authors: Frisch Emily H. , Jain Anant , Jin Mike , Duhaime Erik P. , Malshe Amol , Corey Steve , Allen Robert , Duggan Nicole M. , Fischetti Chanel E. 
Published: February 2024

Objective This proof-of-concept study assessed how confidently an artificial intelligence (AI) model can determine the sex of a fetus from an ultrasound image.
Study Design Analysis was performed using 19,212 ultrasound image slices from a high-volume fetal sex determination practice. This dataset was split into a training set (11,769) and test set (7,443). A computer vision model was trained using a transfer learning approach with EfficientNetB4 architecture as base. The performance of the computer vision model was evaluated on the hold out test set. Accuracy, Cohen's Kappa and Multiclass Receiver Operating Characteristic area under the curve (AUC) were used to evaluate the performance of the model.
Results The AI model achieved an Accuracy of 88.27% on the holdout test set and a Cohen's Kappa score 0.843. The ROC AUC score for Male was calculated to be 0.896, for Female a score of 0.897, for Unable to Assess a score of 0.916, and for Text Added a score of 0.981 was achieved.
Conclusion This novel AI model proved to have a high rate of fetal sex capture that could be of significant use in areas where ultrasound expertise is not readily available.
Key Points
Femoral Tunnel Position in Anatomical Double-bundle ACL Reconstruction is not Affected by Blumensaat's Line Morphology
Authors: Yahagi Yoshiyuki , Iriuchishima Takanori , Iwama Genki , Suruga Makoto , Nakanishi Kazuyoshi 
Published: February 2024

AbstractThe aim of this study was to reveal the influence of the morphological variations of the Blumensaat's line on anteromedial (AM) and posterolateral (PL) femoral tunnel position in anatomical double-bundle anterior cruciate ligament (ACL) reconstruction.Fifty-three subjects undergoing anatomical double-bundle ACL reconstruction were included (29 female, 24 male; median age 27.4 years; range: 14–50 years). Using an inside-out transportal technique, the PL tunnel position was made on a line drawn vertically from the bottommost point of the lateral condyle at 90 degrees of knee flexion, spanning a distance of 5 to 8 mm, to the edge of the joint cartilage. AM tunnel position was made 2 mm distal to the PL tunnel position. Following Iriuchishima's classification, the morphology of the Blumensaat's line was classified into straight and hill (large and small) types. Femoral tunnel position was determined using the quadrant method. A Mann–Whitney U test was performed to compare straight and hill type knees according to AM and PL femoral tunnel position.There were 18 straight and 35 hill type knees (13 small and 22 large hill). AM and PL femoral tunnel position in straight type knees were 21.7 ± 7.0 and 33.6 ± 10.5% in the shallow–deep direction, and 42.1 ± 11.1 and 72.1 ± 8.5% in the high–low direction, respectively. In hill type knees, AM and PL femoral tunnel position were 21.3 ± 5.8 and 36.9 ± 7.1% in the shallow–deep direction, and 44.6 ± 10.7 and 72.1 ± 9.7% in the high–low direction, respectively. No significant difference in AM or PL femoral tunnel position was detected between straight and hill type knees.AM and PL femoral tunnel position in anatomical double-bundle ACL reconstruction was not affected by the morphological variations of the Blumensaat's line. Surgeons do not need to consider Blumensaat's line morphology if AM and PL femoral tunnel position is targeted at the bottommost point of the lateral condyle. This was a level of evidence III study.
FLT3 and IDH1/2 Inhibitors for Acute Myeloid Leukemia: Focused Clinical Narrative Review of Forthcoming Drugs from an Indian Context
Authors: Singh Suvir , Jain Kunal , Singh Jagdeep , Garg Nitish , Arora Akriti 
Published: February 2024

AbstractTherapeutic approaches for acute myeloid leukemia (AML) have witnessed minimal evolution in recent decades, primarily relying on advancements in supportive care and transplantation to drive improvements in overall survival rates. However, treatment with intensive chemotherapy may not be feasible for patients with advanced age or reduced fitness, and outcomes for patients with relapsed/refractory disease continue to be suboptimal. Several agents with a novel mechanism of action have been developed in the past decade and have shown efficacy in patients with both newly diagnosed and relapsed AML. Out of these, several FLT3 (FMS like tyrosine kinase 3) and IDH1/2 (isocitrate dehydrogenase 1/2) inhibitors have received regulatory approval in specific clinical settings and are available for clinical use. This is an actively expanding field with several ongoing clinical trials in advanced phases. We provide a focused narrative review of drugs from these two categories with available clinical data.
Inverse Calculation and Regularization Process for the Solar Aspect System (SAS) of HXI Payload on ASO-S Spacecraft
Authors: Yu Ji-Rui , Ruan Ping , Su Yang , He Ying-Hong , Tao Jin-You , Zhang Zhe , Guo Song , Xue Bin , Yang Jian-Feng 
Published: February 2024

Abstract
For the ASO-S/HXI payload, the accuracy of the flare reconstruction is reliant on important factors such as the alignment of the dual grating and the precise measurement of observation orientation. To guarantee optimal functionality of the instrument throughout its life cycle, the Solar Aspect System (SAS) is imperative to ensure that measurements are accurate and reliable. This is achieved by capturing the target motion and utilizing a physical model-based inversion algorithm. However, the SAS optical system’s inversion model is a typical ill-posed inverse problem due to its optical parameters, which results in small target sampling errors triggering unacceptable shifts in the solution. To enhance inversion accuracy and make it more robust against observation errors, we suggest dividing the inversion operation into two stages based on the SAS spot motion model. First, the as-rigid-as-possible (ARAP) transformation algorithm calculates the relative rotations and an intermediate variable between the substrates. Second, we solve an inversion linear equation for the relative translation of the substrates, the offset of the optical axes, and the observation orientation. To address the ill-posed challenge, the Tikhonov method grounded on the discrepancy criterion and the maximum a posteriori (MAP) method founded on the Bayesian framework are utilized. The simulation results exhibit that the ARAP method achieves a solution with a rotational error of roughly ±3.″5 (1/2-quantile); both regularization techniques are successful in enhancing the stability of the solution, the variance of error in the MAP method is even smaller—it achieves a translational error of approximately ±18 μm (1/2-quantile) in comparison to the Tikhonov method’s error of around ±24 μm (1/2-quantile). Furthermore, the SAS practical application data indicates the method’s usability in this study. Lastly, this paper discusses the intrinsic interconnections between the regularization methods.
Occult cancer in patients with unprovoked venous thromboembolism: A nested case-control study
Authors: Sánchez-López Verónica , Marín-Romero Samira , Ferrer-Galván Marta , Elías-Hernández Teresa , Lobo Beristain José Luis , Ballaz Quincoces Aitor , Jara-Palomares Luis , Rodríguez Martorell Francisco Javier , Castro María José , Marín Hinojosa Carmen , López-Campos José Luis , Otero-Candelera Remedios 
Published: February 2024

Abstract

Objectives
Detecting occult cancer in patients with unprovoked venous thromboembolism (VTE) remains a significant challenge. Our objective was to investigate the potential predictive role of coagulation-related biomarkers in the diagnosis of occult malignancies.

Methods
We conducted a nested case-control study with a 1-year prospective cohort of 214 patients with unprovoked VTE, with a focus on identifying occult cancer. At the time of VTE diagnosis, we measured various biomarkers, including soluble P-selectin (sP-selectin), dimerized plasmin fragment D (D-dimer), platelets, leukocytes, hemoglobin, total extracellular vesicles (EVs), EVs expressing tissue factor on their surface (TF+EVs), and EVs expressing P-selectin on their surface (Psel+EVs) in all participants.

Results
We observed statistically significant increased levels of sP-selectin (P = .015) in patients with occult cancer. Despite an increase in Psel+EVs, TF+EVs, D-dimer, and platelets within this group, however, no significant differences were found. When sP-selectin exceeded 62 ng/mL and D-dimer surpassed 10,000 µg/L, the diagnosis of occult cancer demonstrated a specificity of up to 91% (95% CI, 79.9%-96.7%).

Conclusions
The combination of sP-selectin and D-dimer can be a valuable biomarker in detecting occult cancer in patients with unprovoked VTE. Further research is necessary to ascertain whether easily measurable biomarkers such as sP-selectin and D-dimer can effectively distinguish between patients who have VTE with and without hidden malignancies.
A liar-like paradox for rational reflection principles
Authors: Schechter Joshua 
Published: February 2024

Abstract
This article shows that there is a liar-like paradox that arises for rational credence that relies only on very weak logical and credal principles. The paradox depends on a weak rational reflection principle, logical principles governing conjunction and principles governing the relationship between rational credence and proof. To respond to this paradox, we must either reject even very weak rational reflection principles or reject some highly plausible logical or credal principle.
English in Specialized Communication and its Impact on Spanish Medical Lexicon
Authors: Porras-Garzón Jorge M 
Published: February 2024

Abstract
The use of English-written publications (articles, books, book chapters, etc.) in university Medicine classes, in Spanish-speaking settings, results in a direct influence on lexical units in written text and oral discourse, particularly, with respect to prototypical terminological units. The extent of said influence has not been evaluated until now in the Colombian Spanish-speaking university context, which is, like in most countries in the world, a context that responds to the dynamics of the Internationalisation of Higher Education. As we will see in the following empirical study and its results, the use of English-written materials in university Medicine courses in Colombia has an impact on the presence of Terminological Anglicisms in both written texts and oral discourse in Spanish. And this, not surprisingly, does not promote the creation of new native Spanish vocabulary, on the contrary, it is detrimental to the specialized communicative suitability of the local language.