bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-efficiency oil/water separation by simple fabrication of superhydrophobic nanocomposite (Zno-SiO2) coating mesh
Authors: Majeed Ali N , Sabry Raad S , Abid Muslim A 
Published: October 2023

Abstract
Environmental sustainability and human health are globally imperilled by oil-contaminated water resulting from oil spill disasters or industrial disposal. Superhydrophobic materials have gained increasing attention in oil–water separation to fulfil the ever-growing need for highly effective oil–water separation. Due to the regeneration ability of silicon dioxide nanoparticles (SiO2), superhydrophobic/superolephilic nanocomposite (ZnO-SiO2) was created using a new, simple flame treatment procedure. ZnO(NRs) was coated on stainless steel mesh via water bath deposition method and modified with silicon rubber ( RTV-SR) solution. The mesh coated exhibited an excellent superhydrophobic surface with water at a contact angle 168±1°, a sliding angle 3.5° and superolephilic with oil contact angle OCA (0°). The x-ray diffraction, contact angle measurement, field emission scanning electron microscopy (FE-SEM), Fourier transform infrared spectroscopy (FTIR), and energy dispersive spectroscopy (EDS) were used to describe the coated mesh surface. Kerosene-water, diesel oil–water mixtures and sunflower oil–water are successfully separated by the simple filtering method using the coated mesh with a separation efficiency of 96%.
On the possibility of using quantum annealers to solve problems of computational materials science
Authors: Maletin Nikolay V , Dremov Vladimir V , Klebanov Igor I 
Published: October 2023

Abstract
A promising area of application of quantum computing is computational materials science. In addition to the actively discussed use of quantum computers as simulators for modeling quantum systems, the possibility of using quantum computing to solve the problems of determining the parameters of model multiparameter potentials of intermolecular interaction is of great interest. Especially attractive for these purposes is the method of quantum annealing, as currently the most developed quantum computing technology to solve complex optimization problems. As a first step, the paper presents the algorithms developed for determining the parameters of two classical potentials—Lennard-Jones and Buckingham, designed for implementation on a quantum annealer. We demonstrate mathematical methods for the development of such algorithms. One of them seems to be worthy for the further development and promising for solving more complex problems. Also, we evaluate the scalability of the presented algorithms and justify the possibility of their practical implementation on the current version of the D-Wave quantum annealer.
3D muscle networks based on vibrational mechanomyography
Authors: Mancero Castillo C Sebastian , Atashzar S Farokh , Vaidyanathan Ravi 
Published: October 2023

Abstract

Objective. Muscle network modeling maps synergistic control during complex motor tasks. Intermuscular coherence (IMC) is key to isolate synchronization underlying coupling in such neuromuscular control. Model inputs, however, rely on electromyography, which can limit the depth of muscle and spatial information acquisition across muscle fibers. Approach. We introduce three-dimensional (3D) muscle networks based on vibrational mechanomyography (vMMG) and IMC analysis to evaluate the functional co-modulation of muscles across frequency bands in concert with the longitudinal, lateral, and transverse directions of muscle fibers. vMMG is collected from twenty subjects using a bespoke armband of accelerometers while participants perform four hand gestures. IMC from four superficial muscles (flexor carpi radialis, brachioradialis, extensor digitorum communis, and flexor carpi ulnaris) is decomposed using matrix factorization into three frequency bands. We further evaluate the practical utility of the proposed technique by analyzing the network responses to various sensor-skin contact force levels, studying changes in quality, and discriminative power of vMMG. Main results. Results show distinct topological differences, with coherent coupling as high as 57% between specific muscle pairs, depending on the frequency band, gesture, and direction. No statistical decrease in signal strength was observed with higher contact force. Significance. Results support the usability vMMG as a tool for muscle connectivity analyses and demonstrate the use of IMC as a new feature space for hand gesture classification. Comparison of spectrotemporal and muscle network properties between levels of force support the robustness of vMMG-based network models to variations in tissue compression. We argue 3D models of vMMG-based muscle networks provide a new foundation for studying synergistic muscle activation, particularly in out-of-clinic scenarios where electrical recording is impractical.
Audio-induced medial prefrontal cortical dynamics enhances coadaptive learning in brain–machine interfaces
Authors: Tan Jieyuan , Zhang Xiang , Wu Shenghui , Song Zhiwei , Chen Shuhang , Huang Yifan , Wang Yiwen 
Published: October 2023

Abstract

Objectives. Coadaptive brain–machine interfaces (BMIs) allow subjects and external devices to adapt to each other during the closed-loop control, which provides a promising solution for paralyzed individuals. Previous studies have focused on either improving sensory feedback to facilitate subject learning or developing adaptive algorithms to maintain stable decoder performance. In this work, we aim to design an efficient coadaptive BMI framework which not only facilitates the learning of subjects on new tasks with designed sensory feedback, but also improves decoders’ learning ability by extracting sensory feedback-induced evaluation information. Approach. We designed dynamic audio feedback during the trial according to the subjects’ performance when they were trained to learn a new behavioral task. We compared the learning performance of two groups of Sprague Dawley rats, one with and the other without the designed audio feedback to show whether this audio feedback could facilitate the subjects’ learning. Compared with the traditional closed-loop in BMI systems, an additional closed-loop involving medial prefrontal cortex (mPFC) activity was introduced into the coadaptive framework. The neural dynamics of audio-induced mPFC activity was analyzed to investigate whether a significant neural response could be triggered. This audio-induced response was then translated into reward expectation information to guide the learning of decoders on a new task. The multiday decoding performance of the decoders with and without audio-induced reward expectation was compared to investigate whether the extracted information could accelerate decoders to learn a new task. Main results. The behavior performance comparison showed that the average days for rats to achieve 80% well-trained behavioral performance was improved by 26.4% after introducing the designed audio feedback sequence. The analysis of neural dynamics showed that a significant neural response of mPFC activity could be elicited by the audio feedback and the visualization of audio-induced neural patterns was emerged and accompanied by the behavioral improvement of subjects. The multiday decoding performance comparison showed that the decoder taking the reward expectation information could achieve faster task learning by 33.8% on average across subjects. Significance. This study demonstrates that the designed audio feedback could improve the learning of subjects and the mPFC activity induced by audio feedback can be utilized to improve the decoder’s learning efficiency on new tasks. The coadaptive framework involving mPFC dynamics in the closed-loop interaction can advance the BMIs into a more adaptive and efficient system with learning ability on new tasks.
The correlation parameter of renewal processes and structures with positive and negative periodicity
Authors: Chichigina O A 
Published: October 2023

Abstract
The correlation parameter (CP) as a generalization of the concepts of correlation time and correlation length is calculated for the renewal point structure by studying the spectral density. This structure is a generalization of the renewal process and is characterized by the probability distribution of distances between neighboring points. These distances can be negative. A non-monotonic dependence of the CP on the periodicity parameter is obtained. The results of calculating CPs using spectral densities for various renewal structures are in good agreement with the results of the general formula for quasi-symmetric distributions.
Polarons in binary Bose–Einstein condensates
Authors: Liu Ning , Tu Z C 
Published: October 2023

Abstract
Bose polarons are quasiparticles formed through the interaction between impurities and Bose–Einstein condensates. In this paper, we derive an effective Fröhlich Hamiltonian using the generalized Bogoliubov transformation. The effective Fröhlich Hamiltonian encompasses two types of effective interactions: impurity-density (ID) coupling and impurity-spin (IS) coupling. Furthermore, we employ the Lee–Low–Pines variational approach to investigate the relevant properties of Bose polarons induced by the ID and IS coupling. These properties include the ground state energy, effective mass, and average number of virtual phonons. Our findings reveal that the contribution resulting from IS couplings to the ground energy decreases to zero near the miscible–immiscible boundary. Additionally, the increase of the IS coupling induces a greater number of virtual phonons, impeding the movement of impurities and leading to a significant increase in the effective mass of Bose polarons.
Development of proton beam irradiation system for the NA65/DsTau experiment
Authors: Aoki Shigeki , Ariga Akitaka , Ariga Tomoko , Charitonidis Nikolaos , Dmitrievsky Sergey , Dobre Radu , Firu Elena , Gornushkin Yury , Guler Ali Murat , Hayakawa Daiki , Kodama Koichi , Komatsu Masahiro , Kose Umut , Miloi Mădălina-Mihaela , Miura Manato , Nakamura Mitsuhiro , Nakano Toshiyuki , Neagu Alina-Tania , Okumura Toranosuke , Oz Canay , Rokujo Hiroki , Sato Osamu , Vasina Svetlana , Yoshida Junya , Yoshimoto Masahiro , Yuksel Emin ,   The DsTau collaboration
Published: October 2023

Abstract
Tau neutrino is the least studied lepton of the Standard
Model (SM). The NA65/DsTau experiment targets to investigate
Ds
, the parent particle of the ντ
, using the nuclear
emulsion-based detector and to decrease the systematic uncertainty
of ντ
flux prediction from over 50 % to 10 % for future
beam dump experiments. In the experiment, the emulsion detectors
are exposed to the CERN SPS 400 GeV proton beam. To provide
optimal conditions for the reconstruction of interactions, the
protons are required to be uniformly distributed over the detector's
surface with an average density of 105 cm-2 and the
fluctuation of less than 10%. To address this issue, we developed
a new proton irradiation system called the target mover. The new
target mover provided irradiation with a proton density of
1.01 × 105 cm-2 and the density fluctuation of
1.9 ± 0.3% in the DsTau 2021 run.
The value of reducing the Green Premium: cost-saving innovation, emissions abatement, and climate goals
Authors: Caldeira Ken , Duan Lei , Moreno-Cruz Juan 
Published: October 2023

Abstract
Carbon-emitting technologies often cost less than carbon-emission-free alternatives; this difference in cost is known as the Green Premium. Innovations that decrease the Green Premium contribute to achieving climate goals, but a conceptual framework to quantify that contribution has been lacking. Here, we devise a framework to translate reductions in the Green Premium into equivalent reductions in carbon emissions. We introduce a new integrated assessment model designed for teaching and communication, the Climate Optimized INvestment model, to facilitate transparent investigation of cost-saving innovation. We look at consequences of introducing a new technology with potential for learning and improvement for scenarios with three levels of stringency of carbon constraint: an Unlimited budget scenario in which carbon emissions abatement is determined only by balancing marginal costs; a Large budget scenario with a maximum budget for future cumulative emissions equivalent to 50 times the initial-year emissions; and a Small budget scenario with a maximum budget for future cumulative emissions equivalent to 15 times the initial-year emissions. At all of these stringency levels, we find the least-cost solutions involve investing in a learning subsidy to bring the cost of the new technology down the learning curve. Reducing the Green Premium can lead to enhanced carbon abatement, lower abatement costs even after reaching net-zero emissions, less climate damage, and increased net-present-value of consumption. We find both the value of Green Premium reductions and the value of carbon dioxide removal are greater under more stringent mitigation targets. Our study suggests a crucial role for both public and private sectors in promoting and developing innovations that can contribute to achieving zero emissions goals.
A - 50 Examining NfL as a Moderator for APOE Status and Cognitive Dispersion
Authors: Hawley Nanako A , Myers Melissa A , Pizer Jasmin H , Ikonomou Vasilios C , Wagaman Bailey , Campbell Ivan , O'Bryant Sid , Hill Benjamin D 
Published: October 2023

Abstract

Objective
Cognitive intra-individual variability (IIV) dispersion, a measure of variability across multiple tasks, has been associated with cognitive decline. Neurofilament light chain protein (NfL) is a known biomarker for several neurodegenerative diseases and reflects disease severity. Apolipoprotein E (APOE ε4) gene is a biomarker known to increase the risk of dementia. This study aimed to examine the relationship between cognitive IIV and biomarkers with established relationships to dementia in a diverse older sample.

Method
Data was collected as a part of the Health and Aging Brain Study: Health Disparities (HABS-HD) study, a project examining biomarkers of Alzheimer’s disease across diverse populations within a health disparities framework. IIV on neuropsychological test performance was calculated for each participant (n = 1621) as the coefficient of variation (CoV). A moderation test employing Hayes’ process model was run, with APOE ε4 status as the predictor, IIV as the dependent variable, and NfL as a moderator.

Results
Hayes PROCESS model 1 evaluated the moderating role of APOE ε4 status on the relationships between NfL and IIV. There was a significant interaction found between NfL and APOE ε4 status, (p = 0.0005). The total model was significant but only accounted for approximately 0.74% of the variance in IIV (R^2 = 0.007, SE = 0.001, p &lt; 0.001). A larger moderation effect was found in APOE ε4 carriers.

Conclusions
We found a small effect for biomarkers predicting cognitive IIV. The effect of NfL on IIV was partially moderated by APOE ε4 status. This relation between IIV and biomarkers should be examined in samples with greater symptom severity.
YTHDF2 promotes DNA damage repair by positively regulating the histone methyltransferase SETDB1 in spermatogonia
Authors: Guo Ming , Li Xueliang , Li Tianjiao , Liu Ruifang , Pang Weijun , Luo Jun , Zeng Wenxian , Zheng Yi 
Published: October 2023

Abstract
Genomic integrity is critical for sexual reproduction, ensuring correct transmission of parental genetic information to the descendant. To preserve genomic integrity, germ cells have evolved multiple DNA repair mechanisms, together termed as DNA damage response. The RNA N6-methyladenosine is the most abundant mRNA modification in eukaryotic cells, which plays important roles in DNA damage response, and YTH N6-methyladenosine RNA binding protein 2 (YTHDF2) is a well-acknowledged N6-methyladenosine reader protein regulating the mRNA decay and stress response. Despite this, the correlation between YTHDF2 and DNA damage response in germ cells, if any, remains enigmatic. Here, by employing a Ythdf2-conditional knockout mouse model as well as a Ythdf2-null GC-1 mouse spermatogonial cell line, we explored the role and the underlying mechanism for YTHDF2 in spermatogonial DNA damage response. We identified that, despite no evident testicular morphological abnormalities under the normal circumstance, conditional mutation of Ythdf2 in adult male mice sensitized germ cells, including spermatogonia, to etoposide-induced DNA damage. Consistently, Ythdf2-KO GC-1 cells displayed increased sensitivity and apoptosis in response to DNA damage, accompanied by the decreased SET domain bifurcated 1 (SETDB1, a histone methyltransferase) and H3K9me3 levels. The Setdb1 knockdown in GC-1 cells generated a similar phenotype, but its overexpression in Ythdf2-null GC-1 cells alleviated the sensitivity and apoptosis in response to DNA damage. Taken together, these results demonstrate that the N6-methyladenosine reader YTHDF2 promotes DNA damage repair by positively regulating the histone methyltransferase SETDB1 in spermatogonia, which provides novel insights into the mechanisms underlying spermatogonial genome integrity maintenance and therefore contributes to safe reproduction.
Basal forebrain activity predicts functional degeneration in the entorhinal cortex in Alzheimer’s disease
Authors: Mieling Marthe , Göttlich Martin , Yousuf Mushfa , Bunzeck Nico 
Published: October 2023

Abstract
Recent models of Alzheimer’s disease suggest the nucleus basalis of Meynert (NbM) as an early origin of structural degeneration followed by the entorhinal cortex (EC). However, the functional properties of NbM and EC regarding amyloid-β and hyperphosphorylated tau remain unclear. We analysed resting-state functional fMRI data with CSF assays from the Alzheimer’s Disease Neuroimaging Initiative (n = 71) at baseline and 2 years later. At baseline, local activity, as quantified by fractional amplitude of low-frequency fluctuations, differentiated between normal and abnormal CSF groups in the NbM but not EC. Further, NbM activity linearly decreased as a function of CSF ratio, resembling the disease status. Finally, NbM activity predicted the annual percentage signal change in EC, but not the reverse, independent from CSF ratio. Our findings give novel insights into the pathogenesis of Alzheimer’s disease by showing that local activity in NbM is affected by proteinopathology and predicts functional degeneration within the EC.
Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review
Authors: Ledger Thomas Stephen , Brooke-Cowden Kalissa , Coiera Enrico 
Published: October 2023

Abstract

Objectives
A scoping review identified interventions for optimizing hospital medication alerts post-implementation, and characterized the methods used, the populations studied, and any effects of optimization.

Materials and Methods
A structured search was undertaken in the MEDLINE and Embase databases, from inception to August 2023. Articles providing sufficient information to determine whether an intervention was conducted to optimize alerts were included in the analysis. Snowball analysis was conducted to identify additional studies.

Results
Sixteen studies were identified. Most were based in the United States and used a wide range of clinical software. Many studies used inpatient cohorts and conducted more than one intervention during the trial period. Alert types studied included drug–drug interactions, drug dosage alerts, and drug allergy alerts. Six types of interventions were identified: alert inactivation, alert severity reclassification, information provision, use of contextual information, threshold adjustment, and encounter suppression. The majority of interventions decreased alert quantity and enhanced alert acceptance. Alert quantity decreased with alert inactivation by 1%-25.3%, and with alert severity reclassification by 1%-16.5% in 6 of 7 studies. Alert severity reclassification increased alert acceptance by 4.2%-50.2% and was associated with a 100% acceptance rate for high-severity alerts when implemented. Clinical errors reported in 4 studies were seen to remain stable or decrease.

Discussion
Post-implementation medication optimization interventions have positive effects for clinicians when applied in a variety of settings. Less well reported are the impacts of these interventions on the clinical care of patients, and how endpoints such as alert quantity contribute to changes in clinician and pharmacist perceptions of alert fatigue.

Conclusion
Well conducted alert optimization can reduce alert fatigue by reducing overall alert quantity, improving clinical acceptance, and enhancing clinical utility.
Imaging Preferences in Women With a History of Breast Cancer Receiving Contrast-Enhanced Mammography
Authors: Moravia Lyndia P , Mosaddhegi Julie , Mehta Tejas S , Qureshi Muhammad M , Phillips Jordana 
Published: October 2023

AbstractObjectiveThere is interest in contrast-enhanced mammography (CEM) to screen breast cancer survivors, yet it is unclear whether they would accept CEM as their annual exam. The purpose of this study was to understand patient preferences to guide CEM implementation for screening.MethodsConsecutive women with breast cancer history who had CEM as their annual mammogram from July 2020 to August 2021 at a single academic institution completed an 18-question survey regarding prior contrast imaging, CEM experience, and comparison to other breast imaging exams. Response proportions were calculated, and chi-square or Fisher’s exact test were used to evaluate associations of demographics with responses.ResultsA total of 78% (104/133) of women undergoing CEM provided results. Most were satisfied with CEM (99%, 103/104), had nothing to complain about (87%, 90/104), did not find CEM anxiety provoking (69%, 72/104), felt comfortable having contrast for annual imaging (94%, 98/104), were willing to accept the small risk of a contrast reaction if CEM would find their cancer (93%, 97/104), and would like to have CEM for their exam next year (95%, 99/104). Compared with mammography, 23% (24/104) reported CEM was a better experience, and 63% (66/104) reported CEM was about the same. Of those who had prior MRI, the majority reported CEM was better (53%, 29/55) and would prefer CEM if both MRI and CEM had an equal chance of detecting cancer (73%, 41/56). Most preferences did not differ significantly according to demographics.ConclusionMost women surveyed considered CEM to be satisfactory and preferred compared to other breast screening modalities.
tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments
Authors: Li Ningshan , Yao Siqiong , Yu Guangjun , Lu Lingeng , Wang Zuoheng 
Published: October 2023

Abstract
tRFtarget 1.0 (http://trftarget.net/) is a platform consolidating both computationally predicted and experimentally validated binding sites between transfer RNA-derived fragments (tRFs) and target genes (or transcripts) across multiple organisms. Here, we introduce a newly released version of tRFtarget 2.0, in which we integrated 6 additional tRF sources, resulting in a comprehensive collection of 2614 high-quality tRF sequences spanning across 9 species, including 1944 Homo sapiens tRFs and one newly incorporated species Rattus norvegicus. We also expanded target genes by including ribosomal RNAs, long non-coding RNAs, and coding genes &gt;50 kb in length. The predicted binding sites have surged up to approximately 6 billion, a 20.5-fold increase than that in tRFtarget 1.0. The manually curated publications relevant to tRF targets have increased to 400 and the gene-level experimental evidence has risen to 232. tRFtarget 2.0 introduces several new features, including a web-based tool that identifies potential binding sites of tRFs in user's own datasets, integration of standardized tRF IDs, and inclusion of external links to contents within the database. Additionally, we enhanced website framework and user interface. With these improvements, tRFtarget 2.0 is more user-friendly, providing researchers a streamlined and comprehensive platform to accelerate their research progress.