bluuebunny/crossref_metadata_2025_split huggingface dataset:
Admission levels of serum biomarkers have additive and cumulative prognostic value in traumatic brain injury
Authors: Kaaber Ida A. , Lesbo Maj , Wichmann Thea O. , Olsen Dorte Aa. , Rasmussen Mikkel M. , Brink Ole , Borris Lars C. , Hviid Claus V. B. 
Published: June 2024

AbstractElevated levels of CNS-derived serum proteins are associated with poor outcome in traumatic brain injury (TBI), but the value of adding acute serum biomarker levels to common clinical outcome predictors lacks evaluation. We analyzed admission serum samples for Total-Tau (T-Tau), Neurofilament light chain (Nfl), Glial fibrillary acidic protein (GFAP), and Ubiquitin C-terminal hydrolase L1 (UCHL1) in a cohort of 396 trauma patients including 240 patients with TBI. We assessed the independent association of biomarkers with 1-year mortality and 6–12 months Glasgow Outcome Scale Extended (GOSE) score, as well as the additive and cumulative value of biomarkers on Glasgow Coma Scale (GCS) and Marshall Score for outcome prediction. Nfl and T-Tau levels were independently associated with outcome (OR: Nfl = 1.65, p = 0.01; T-Tau = 1.99, p < 0.01). Nfl or T-Tau improved outcome prediction by GCS (Wald Chi, Nfl = 6.8–8.8, p < 0.01; T-Tau 7.2–11.3, p < 0.01) and the Marshall score (Wald Chi, Nfl = 16.2–17.5, p < 0.01; T-Tau 8.7–12.4, p < 0.01). Adding T-Tau atop Nfl further improved outcome prediction in majority of tested models (Wald Chi range 3.8–9.4, p ≤ 0.05). Our data suggest that acute levels of serum biomarkers are independently associated with outcome after TBI and add outcome predictive value to commonly used clinical scores.
Hearing loss and its association with the proteome of perilymph, cerebrospinal fluid, and tumor tissue in patients with vestibular schwannoma
Authors: Edvardsson Rasmussen Jesper , Li Peng , Laurell Göran , Bergquist Jonas , Eriksson, Per Olof 
Published: June 2024

AbstractThis study examined the association between hearing loss in sporadic vestibular schwannoma patients and the proteome of perilymph (PL), cerebrospinal fluid (CSF), and vestibular schwannoma. Intraoperative sampling of PL and of CSF, and biopsy of vestibular schwannoma tissue, was performed in 32, 32, and 20 patients with vestibular schwannoma, respectively. Perilymph and CSF in three patients with meningioma and normal hearing were also sampled. The proteomes were identified by liquid chromatography coupled to high-resolution tandem mass spectrometry. Preoperative hearing function of the patients was evaluated with pure tone audiometry, with mean values at frequencies of 500, 1000, 2000, and 4000 Hz (PTA4) in the tumor-affected ear used to delineate three hearing groups. Analysis of the PL samples revealed significant upregulation of complement factor H-related protein 2 (CFHR2) in patients with severe to profound hearing loss after false discovery rate correction. Pathway analysis of biofunctions revealed higher activation scores in the severe/profound hearing loss group of leukocyte migration, viral infection, and migration of cells in PL. Upregulation of CFHR2 and activation of these pathways indicate chronic inflammation in the cochlea of vestibular schwannoma patients with severe to profound hearing loss compared with patients with normal hearing or mild hearing loss.
Miniaturized electromagnetic tracking enables efficient ultrasound-navigated needle insertions
Authors: Seitel Alexander , Groener Daniel , Eisenmann Matthias , Aguilera Saiz Laura , Pekdemir Bünyamin , Sridharan Patmaa , Nguyen Cam Tu , Häfele Sebastian , Feldmann Carolin , Everitt Brittaney , Happel Christian , Herrmann Eva , Sabet Amir , Grünwald Frank , Franz Alfred Michael , Maier-Hein Lena 
Published: June 2024

AbstractUltrasound (US) has gained popularity as a guidance modality for percutaneous needle insertions because it is widely available and non-ionizing. However, coordinating scanning and needle insertion still requires significant experience. Current assistance solutions utilize optical or electromagnetic tracking (EMT) technology directly integrated into the US device or probe. This results in specialized devices or introduces additional hardware, limiting the ergonomics of both the scanning and insertion process. We developed the first ultrasound (US) navigation solution designed to be used as a non-permanent accessory for existing US devices while maintaining the ergonomics during the scanning process. A miniaturized EMT source is reversibly attached to the US probe, temporarily creating a combined modality that provides real-time anatomical imaging and instrument tracking at the same time. Studies performed with 11 clinical operators show that the proposed navigation solution can guide needle insertions with a targeting accuracy of about 5 mm, which is comparable to existing approaches and unaffected by repeated attachment and detachment of the miniaturized tracking solution. The assistance proved particularly helpful for non-expert users and needle insertions performed outside of the US plane. The small size and reversible attachability of the proposed navigation solution promises streamlined integration into the clinical workflow and widespread access to US navigated punctures.
Evaluating frontoparietal network topography for diagnostic markers of Alzheimer’s disease
Authors: Rogers Bayard 
Published: June 2024

AbstractNumerous prospective biomarkers are being studied for their ability to diagnose various stages of Alzheimer’s disease (AD). High-density electroencephalogram (EEG) methods show promise as an accurate, economical, non-invasive approach to measuring the electrical potentials of brains associated with AD. Event-related potentials (ERPs) may serve as clinically useful biomarkers of AD. Through analysis of secondary data, the present study examined the performance and distribution of N4/P6 ERPs across the frontoparietal network (FPN) using EEG topographic mapping. ERP measures and memory as a function of reaction time (RT) were compared between a group of (n = 63) mild untreated AD patients and a control group of (n = 73) healthy age-matched adults. Based on the literature presented, it was expected that healthy controls would outperform patients in peak amplitude and mean component latency across three parameters of memory when measured at optimal N4 (frontal) and P6 (parietal) locations. It was also predicted that the control group would exhibit neural cohesion through FPN integration during cross-modal tasks, thus demonstrating healthy cognitive functioning consistent with older healthy adults. By targeting select frontal and parietal EEG reference channels based on N4/P6 component time windows and positivity, our findings demonstrated statistically significant group variations between controls and patients in N4/P6 peak amplitudes and latencies during cross-modal testing. Our results also support that the N4 ERP might be stronger than its P6 counterpart as a possible candidate biomarker. We conclude through topographic mapping that FPN integration occurs in healthy controls but is absent in AD patients during cross-modal memory tasks.
A randomized single-blind non-inferiority trial of delayed start with drospirenone-only and ethinyl estradiol-gestodene pills for ovulation inhibition
Authors: Ratanasaengsuang Atist , Uaamnuichai Sutira , Santibenchakul Somsook , Wongwathanavikrom Rachanee , Chaikittisilpa Sukanya , Pohthipornthawat Natkrita , Taweepolcharoen Charoen , Jaisamrarn Unnop , Phutrakool Phanupong 
Published: June 2024

AbstractWe compared the efficacy of 4 mg drospirenone (DRSP) progestin-only pills (POPs) versus combined oral contraceptive pills (COCs) containing 0.02 mg of ethinyl estradiol (EE) and 0.075 mg of gestodene (GS) in ovulation inhibition and inducing unfavorable cervical mucus changes using a delayed-starting approach. This randomized controlled trial involved 36 participants aged 18–45 years. The major outcomes included ovulation inhibition assessed using the Hoogland and Skouby score, and cervical mucus permeability, assessed using the modified World Health Organization score. The results demonstrated ovulation inhibition rates of 77.8% for the EE/GS group and 88.9% for the DRSP group. The risk ratio and absolute risk reduction were 0.50 (95% confidence interval [CI]: 0.10, 2.40) and − 0.11 (95% CI: − 0.35, 0.13), respectively, satisfying the 20% non-inferiority margin threshold. The median time to achieve unfavorable cervical mucus changes was comparable between the DRSP (3 days, interquartile range [IQR]: 6 days) and EE/GS (3.5 days, IQR: 4 days) groups. However, the DRSP group had a higher incidence of unscheduled vaginal bleeding (55.56% vs. 11.11%; p = 0.005). DRSP-only pills, initiated on days 7–9 of the menstrual cycle, were non-inferior to EE/GS pills in ovulation inhibition. However, they exhibited delayed unfavorable cervical mucus changes compared to the standard two-day backup recommendation.Clinical trial registration: Thai Clinical Trials Registry (TCTR20220819001) https://www.thaiclinicaltrials.org/show/TCTR20220819001.
On the possible advantages of combining small lineups with instructions that discourage guessing-based selection
Authors: Therre Amelie , Bell Raoul , Menne Nicola Marie , Mayer Carolin , Lichtenhagen Ulla , Buchner Axel 
Published: June 2024

AbstractThe primary argument for including large numbers of known-to-be innocent fillers in lineups is that guessing-based selections are dispersed among a large number of lineup members, leading to low innocent-suspect identification rates. However, a recent study using the two-high threshold eyewitness identification model has demonstrated advantages of smaller lineups at the level of the processes underlying the observable responses. Participants were more likely to detect the presence of the culprit and less likely to select lineup members based on guessing in smaller than in larger lineups. Nonetheless, at the level of observable responses, the rate of innocent-suspect identifications was higher in smaller compared to larger lineups due to the decreased dispersion of guessing-based selections among the lineup members. To address this issue, we combined smaller lineups with lineup instructions insinuating that the culprit was unlikely to be in the lineup. The goal was to achieve a particularly low rate of guessing-based selections. These lineups were compared to larger lineups with neutral instructions. In two experiments, culprit-presence detection occurred with a higher probability in smaller compared to larger lineups. Furthermore, instructions insinuating that the culprit was unlikely to be in the lineup reduced guessing-based selection compared to neutral instructions. At the level of observable responses, the innocent-suspect identification rate did not differ between smaller lineups with low-culprit-probability instructions and larger lineups with neutral instructions. The rate of culprit identifications was higher in smaller lineups with low-culprit-probability instructions than in larger lineups with neutral instructions.
Mathematical modeling of flexible printed circuit configuration: a study in deformation and optimization
Authors: Meng Longhui , Ding Liang , Khan Aqib Mashood , Alkahtani Mohammed , Shan Yicai 
Published: June 2024

Abstract
This manuscript offers an exhaustive analysis of Flexible Printed Circuits (FPCs), concentrating on enhancing their design to surmount two primary challenges. Firstly, it seeks to obviate contact with proximate components. Secondly, it aspires to adhere to pre-established curvature constraints. Predicated on the curvature properties of FPCs, we have developed a model adept at accurately forecasting FPC deformation under diverse conditions. Our inquiry entails a thorough examination of various FPC configurations, including bell, 'U', and 'S' shapes. Central to our methodology is the strategic optimization of FPC spatial arrangements, aiming to avert mechanical interference and control curvature, thus mitigating mechanical strain. This dual-faceted strategy is pivotal in enhancing the durability and operational reliability of FPCs, particularly in contexts demanding elevated flexibility and precision. Our research offers essential insights into the refinement of FPC design, skillfully addressing the complexities associated with curvature and physical interaction. Collectively, this study advocates a comprehensive framework for the design and implementation of FPCs, significantly advancing the field of contemporary electronics by ensuring these components meet the evolving demands of the industry.
Health utility of patients with established rheumatoid arthritis and its influencing factors: a multi-center study in China
Authors: Wan Chuchuan , Huang Yuankai , Wang Qiqi , Wang Pei , Xi Xiaoyu 
Published: June 2024

AbstractTo assess the health utility value (HUV) of Rheumatoid Arthritis (RA) patients and its influencing factors in China. A cross-sectional survey was conducted in 8 tertiary hospitals across four capital-cities. The demographic characteristics, patient-reported outcomes including the HUV got by EQ-5D-5L, clinical characteristics, and clinician-reported outcomes of 171 RA patients were collected both from themselves and their physicians. Both the univariate and multivariate analyses were used to assess the potential factors of EQ-5D-5L HUV of the patients. The mean age of the patients was 50.7 years, with female being 64.9% (n = 111). The mean HUV and EQ visual analogue scale score of all patients were 0.586 and 47.3, respectively. The univariate analysis showed that the patients who were female, older, living in rural areas, with lower education level, advanced disease stage, higher the patient's assessment of arthritis pain visual analogue scale (PtAAP-VAS), the patient's global assessment of disease activity visual analogue scale (PtGADA-VAS), and the Physician’s global assessment of disease activity visual analogue scale (PhGADA-VAS) scores had significantly lower EQ-5D-5L HUVs. The multivariate analysis further suggested that older age, female, higher body mass index and higher PtGADA-VAS score were statistically significantly related to lower HUVs. The study provided the HUVs for RA patients with different characteristics and outcomes, which could be used in the economic evaluation of interventions for the RA patients. The identified factors could also assist the health care managing and improving the health-related quality of life on RA patients.
The first ITS1 profiling of honey samples from the Southeast Asian region Lombok, Bali and Banggi Island
Authors: Ullah Saeed , Huyop Fahrul , Wahab Roswanira Ab. , Huda Nurul , Oyewusi Habeebat Adekilekun , Sujana I. Gede Arya , Saloko Satrijo , Andriani Anak Agung Sagung Putri Risa , Mohamad Mohd Azrul Naim , Abdul Hamid Azzmer Azzar , Mohd Nasir Mohd Hamzah , Antara Nyoman Semadi , Gunam Ida Bagus Wayan 
Published: June 2024

AbstractSouthern Asian flowers offer honeybees a diversity of nectar. Based on its geographical origin, honey quality varies. Traditional methods are less authentic than DNA-based identification. The origin of honey is determined by pollen, polyphenolic, and macro-microorganisms. In this study, amplicon sequencing targets macro-microorganisms in eDNA using the ITS1 region to explore honey’s geographical location and authentication. The variety of honey samples was investigated using ITS1 with Illumina sequencing. For all four honey samples, raw sequence reads showed 979,380 raw ITS1 amplicon reads and 375 ASVs up to the phylum level. The highest total number of 202 ASVs up to phylum level identified Bali honey with 211,189 reads, followed by Banggi honey with 309,207 a total number of 111 ASVs, and Lombok represents only 63 ASVs up to phylum level with several read 458,984. Based on Shannon and Chao1, honey samples from Bali (B2) and (B3) exhibited higher diversity than honey from Lombok (B1) and green honey from Sabah (B4), while the Simpson index showed that Banggi honey (B4) had higher diversity. Honey samples had significant variance in mycobiome taxonomic composition and abundance. Zygosaccharomyces and Aspergillus were the main genera found in Lombok honey, with percentages of 68.81% and 29.76% respectively. Bali honey samples (B2 and B3) were identified as having a significant amount of the genus Aureobasidium, accounting for 40.81% and 25% of the readings, respectively. The microbiome composition of Banggi honey (B4) showed a high presence of Zygosaccharomyces 45.17% and Aureobasidium 35.24%. The ITS1 analysis effectively distinguishes between honey samples of different origins and its potential as a discriminatory tool for honey origin and authentication purposes.
Anti-adhesive, anti-biofilm and fungicidal action of newly synthesized gemini quaternary ammonium salts
Authors: Mazurkiewicz Edyta , Lamch Łukasz , Wilk Kazimiera A. , Obłąk Ewa 
Published: June 2024

AbstractNewly synthesized gemini quaternary ammonium salts (QAS) with different counterions (bromide, hydrogen chloride, methylcarbonate, acetate, lactate), chain lengths (C12, C14, C16) and methylene linker (3xCH2) were tested. Dihydrochlorides and dibromides with 12 carbon atoms in hydrophobic chains were characterized by the highest biological activity against planktonic forms of yeast and yeast-like fungi. The tested gemini surfactants also inhibited the production of filaments by C. albicans. Moreover, they reduced the adhesion of C. albicans cells to the surfaces of stainless steel, silicone and glass, and slightly to polystyrene. In particular, the gemini compounds with 16-carbon alkyl chains were most effective against biofilms. It was also found that the tested surfactants were not cytotoxic to yeast cells. Moreover, dimethylcarbonate (2xC12MeCO3G3) did not cause hemolysis of sheep erythrocytes. Dihydrochlorides, dilactate and diacetate showed no mutagenic potential.
Adaptive urban traffic signal control based on enhanced deep reinforcement learning
Authors: Cai Changjian , Wei Min 
Published: June 2024

AbstractOne of the focal points in the field of intelligent transportation is the intelligent control of traffic signals (TS), aimed at enhancing the efficiency of urban road networks through specific algorithms. Deep Reinforcement Learning (DRL) algorithms have become mainstream, yet they suffer from inefficient training sample selection, leading to slow convergence. Additionally, enhancing model robustness is crucial for adapting to diverse traffic conditions. Hence, this paper proposes an enhanced method for traffic signal control (TSC) based on DRL. This approach utilizes dueling network and double q-learning to alleviate the overestimation issue of DRL. Additionally, it introduces a priority sampling mechanism to enhance the utilization efficiency of samples in memory. Moreover, noise parameters are integrated into the neural network model during training to bolster its robustness. By representing high-dimensional real-time traffic information as matrices, and employing a phase-cycled action space to guide the decision-making of intelligent agents. Additionally, utilizing a reward function that closely mirrors real-world scenarios to guide model training. Experimental results demonstrate faster convergence and optimal performance in metrics such as queue length and waiting time. Testing experiments further validate the method's robustness across different traffic flow scenarios.
A lightweight fire detection algorithm for small targets based on YOLOv5s
Authors: Lv Changzhi , Zhou Haiyong , Chen Yu , Fan Di , Di Fangyi 
Published: June 2024

Abstract
In response to the current challenges fire detection algorithms encounter, including low detection accuracy and limited recognition rates for small fire targets in complex environments, we present a lightweight fire detection algorithm based on an improved YOLOv5s. The introduction of the CoT (Contextual Transformer) structure into the backbone neural network, along with the creation of the novel CSP1_CoT (Cross stage partial 1_contextual transformer) module, has effectively reduced the model’s parameter count while simultaneously enhancing the feature extraction and fusion capabilities of the backbone network; The network’s Neck architecture has been extended by introducing a dedicated detection layer tailored for small targets and incorporating the SE (Squeeze-and-Excitation) attention mechanism. This augmentation, while minimizing parameter proliferation, has significantly bolstered the interaction of multi-feature information, resulting in an enhanced small target detection capability; The substitution of the original loss function with the Focal-EIoU (Focal-Efficient IoU) loss function has yielded a further improvement in the model’s convergence speed and precision; The experimental results indicate that the modified model achieves an mAP@.5 of 96% and an accuracy of 94.8%, marking improvements of 8.8% and 8.9%, respectively, over the original model. Furthermore, the model’s parameter count has been reduced by 1.1%, resulting in a compact model size of only 14.6MB. Additionally, the detection speed has reached 85 FPS (Frames Per Second), thus satisfying real-time detection requirements. This enhancement in precision and accuracy, while simultaneously meeting real-time and lightweight constraints, effectively caters to the demands of fire detection.
Distribution of inorganic compositions of Japanese tap water: a nationwide survey in 2019–2024
Authors: Hori Mayumi , Shozugawa Katsumi , Takizawa Tsutomu , Watanabe Yuichiro 
Published: June 2024

AbstractA nationwide survey of inorganic components of tap water all over Japan was conducted from 2019 to 2024. In this survey, 1564 tap water samples were collected, and an additional 194 tap water samples were collected from 33 other countries. The water samples were analyzed for 27 dissolved inorganic components, with a primary focus on the distribution of major and trace components, including Ca, Mg, K, Na, Cl−, NO3−, SO42−, total-hardness, Al, Fe, Cu, Mn, and Zn. The Japanese tap water hardness was 50.5 ± 30.2 (± 1σ SD) mg/L, classified as soft water according to the World Health Organization (WHO) classification. The average content of each major component in Japanese tap water tended to be lower than those in other countries. Furthermore, Piper trilinear diagrams were used to categorize Japanese tap water types. The dominating water types were the Ca–HCO3 and mixed types, which had a nationwide distribution. Japanese tap water generally complied with Japanese and WHO drinking water criteria, with only 1% (17/1564 sites) of the samples exceeding water quality standards. Observations of water quality changes for 2 years at three household faucets revealed that fluctuations in major components and trace metals (Al, Fe, Cu, Mn, and Zn) varied in different patterns. This suggests that the behavior of trace metal elements is influenced by local infrastructure, such as supply pipes, distinct from the variability in source water quality.