bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring vibrations on a biofidelic brain using ferroelectret nanogenerator
Authors: Dsouza Henry , Dávila-Montero Bianca M. , Afanador Ian Gonzalez , Torres Gerardo Morales , Cao Yunqi , Mejia-Alvarez Ricardo , Sepúlveda Nelson 
Published: June 2023

AbstractOur knowledge of traumatic brain injury has been fast growing with the emergence of new markers pointing to various neurological changes that the brain undergoes during an impact or any other form of concussive event. In this work, we study the modality of deformations on a biofidelic brain system when subject to blunt impacts, highlighting the importance of the time-dependent behavior of the resulting waves propagating through the brain. This study is carried out using two different approaches involving optical (Particle Image Velocimetry) and mechanical (flexible sensors) in the biofidelic brain. Results show that the system has a natural mechanical frequency of $$\sim $$
∼
25 oscillations per second, which was confirmed by both methods, showing a positive correlation with one another. The consistency of these results with previously reported brain pathology validates the use of either technique, and establishes a new, simpler mechanism to study brain vibrations by using flexible piezoelectric patches. The visco-elastic nature of the biofidelic brain is validated by observing the the relationship between both methods at two different time intervals, by using the information of the strain and stress inside the brain from the Particle Image Velocimetry and flexible sensor, respectively. A non-linear stress-strain relationship was observed and justified to support the same.
Towards virtual histology with X-ray grating interferometry
Authors: Polikarpov M. , Vila-Comamala J. , Wang Z. , Pereira A. , van Gogh S. , Gasser C. , Jefimovs K. , Romano L. , Varga Z. , Lång K. , Schmeltz M. , Tessarini S. , Rawlik M. , Jermann E. , Lewis S. , Yun W. , Stampanoni M. 
Published: June 2023

AbstractBreast cancer is the most common type of cancer worldwide. Diagnosing breast cancer relies on clinical examination, imaging and biopsy. A core-needle biopsy enables a morphological and biochemical characterization of the cancer and is considered the gold standard for breast cancer diagnosis. A histopathological examination uses high-resolution microscopes with outstanding contrast in the 2D plane, but the spatial resolution in the third, Z-direction, is reduced. In the present paper, we propose two high-resolution table-top systems for phase-contrast X-ray tomography of soft-tissue samples. The first system implements a classical Talbot–Lau interferometer and allows to perform ex-vivo imaging of human breast samples with a voxel size of 5.57 μm. The second system with a comparable voxel size relies on a Sigray MAAST X-ray source with structured anode. For the first time, we demonstrate the applicability of the latter to perform X-ray imaging of human breast specimens with ductal carcinoma in-situ. We assessed image quality of both setups and compared it to histology. We showed that both setups made it possible to target internal features of breast specimens with better resolution and contrast than previously achieved, demonstrating that grating-based phase-contrast X-ray CT could be a complementary tool for clinical histopathology.
Investigation of enzalutamide, docetaxel, and cabazitaxel resistance in the castration resistant prostate cancer cell line C4 using genome-wide CRISPR/Cas9 screening
Authors: Haldrup Jakob , Weiss Simone , Schmidt Linnéa , Sørensen Karina Dalsgaard 
Published: June 2023

AbstractEnzalutamide, docetaxel, and cabazitaxel treatment resistance is a major problem in metastatic castration resistant prostate cancer (mCRPC), but the underlying genetic determinants are poorly understood. To identify genes that modulate treatment response to these drugs, we performed three genome-wide CRISPR/Cas9 knockout screens in the mCRPC cell line C4. The screens identified seven candidates for enzalutamide (BCL2L13, CEP135, E2F4, IP6K2, KDM6A, SMS, and XPO4), four candidates for docetaxel (DRG1, LMO7, NCOA2, and ZNF268), and nine candidates for cabazitaxel (ARHGAP11B, DRG1, FKBP5, FRYL, PRKAB1, RP2, SMPD2, TCEA2, and ZNF585B). We generated single-gene C4 knockout clones/populations for all genes and could validate effect on treatment response for five genes (IP6K2, XPO4, DRG1, PRKAB1, and RP2). Altered enzalutamide response upon IP6K2 and XPO4 knockout was associated with deregulation of AR, mTORC1, and E2F signaling, and deregulated p53 signaling (IP6K2 only) in C4 mCRPC cells. Our study highlights the necessity of performing individual validation of candidate hits from genome-wide CRISPR screens. Further studies are needed to assess the generalizability and translational potential of these findings.
A retrospect study based on real-world data to observe metabolic function in cancer patients using albumin-bound paclitaxel
Authors: Zheng Qi , Wang Hanzhou , Xue Chao , Yang Shuhan , Wang Yan , Hou Wei , Zhang Ying 
Published: June 2023

AbstractThere is substantial evidence that albumin-bound paclitaxel (nab-paclitaxel) is effective and safe for the treatment of breast, lung and pancreatic cancers. However, it can still cause adverse effects by affecting cardiac enzymes, hepatic enzyme metabolism and blood routine related indicators, which affects the use of chemotherapy for a full course of treatment. However, there are no relevant clinical studies to systematically observe the effects and dynamics of albumin-bound paclitaxel on cardiac enzymes, liver enzyme metabolism, and routine blood-related indices. The purpose of our study was to determine the levels of serum creatinine (Cre), aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), white blood cells (WBC) and hemoglobin (HGB) in cancer patients treated with albumin-conjugated paclitaxel. This study retrospectively analyzed 113 patients with cancer. Patients who had received two cycles of nab-paclitaxel 260 mg/m2 (administered intravenously on days 1, 8, and 15 of each 28-day cycle) were selected. Serum Cre, AST, ALT, LDH, CK, and CK-MB activities, WBC counts, and HGB levels were measured before and after treatment with two cycles. Fourteen cancer types were analyzed. The distribution of cancer types in patients was mainly concentrated in lung, ovarian, and breast cancer. Nab-paclitaxel treatment markedly decreased Cre, AST, LDH, and CK activities in the serum and WBC counts and HGB levels, respectively. Serum Cre and CK activities and HGB levels were remarkably downregulated at baseline compared to healthy controls. Patients receiving nab-paclitaxel treatment cause metabolic disorders in tumor patients by reducing the decrease of Cre, AST, LDH, CK, CK-MB, WBC and HGB indexes, thus inducing the occurrence of cardiovascular events, hepatotoxic events and fatigue and other symptoms. Therefore, for tumor patients, although receiving nab-paclitaxel improves the anti-tumor effect, it is still necessary to closely monitor the changes of related enzymatic and routine blood indicators, so as to detect and intervene at an early stage.
Quantum dynamics of a driven parametric oscillator in a Kerr medium
Authors: Bolandhemmat E. , Kheirandish F. 
Published: June 2023

AbstractIn this paper, we first analyze a parametric oscillator with both mass and frequency time-dependent. We show that the evolution operator can be obtained from the evolution operator of another parametric oscillator with a constant mass and time-dependent frequency followed by a time transformation $$t\rightarrow \int _0^t dt'\,1/m(t')$$

t
→

∫
0
t

d

t
′

1
/
m

(

t
′

)

. Then we proceed by investigating the quantum dynamics of a parametric oscillator with unit mass and time-dependent frequency in a Kerr medium under the influence of a time-dependent force along the motion of the oscillator. The quantum dynamics of the time-dependent oscillator is analyzed from both analytical and numerical points of view in two main regimes: (i) small Kerr parameter $$\chi $$
χ
, and (ii) small confinement parameter k. In the following, to investigate the characteristics and statistical properties of the generated states, we calculate the autocorrelation function, the Mandel Q parameter, and the Husimi Q-function.
Entropy defect in thermodynamics
Authors: Livadiotis George , McComas David J. 
Published: June 2023

AbstractThis paper describes the physical foundations of the newly discovered “entropy defect” as a basic concept of thermodynamics. The entropy defect quantifies the change in entropy caused by the order induced in a system through the additional correlations among its constituents when two or more subsystems are assembled. This defect is closely analogous to the mass defect that arises when nuclear particle systems are assembled. The entropy defect determines how the entropy of the system compares to its constituent’s entropies and stands on three fundamental properties: each constituent’s entropy must be (i) separable, (ii) symmetric, and (iii) bounded. We show that these properties provide a solid foundation for the entropy defect and for generalizing thermodynamics to describe systems residing out of the classical thermal equilibrium, both in stationary and nonstationary states. In stationary states, the consequent thermodynamics generalizes the classical framework, which was based on the Boltzmann–Gibbs entropy and Maxwell–Boltzmann canonical distribution of particle velocities, into the respective entropy and canonical distribution associated with kappa distributions. In nonstationary states, the entropy defect similarly acts as a negative feedback, or reduction of the increase of entropy, preventing its unbounded growth toward infinity.
Green hematite depression for reverse selective flotation separation from quartz by locust bean gum
Authors: Kordloo Mehrdad , Khodadadmahmoudi Gholamreza , Ebrahimi Ehsan , Rezaei Ali , Tohry Arash , Chehreh Chelgani Saeed 
Published: June 2023

AbstractReverse cationic flotation is currently the main processing technique for upgrading fine hematite from silicates. Flotation is known as an efficient method of mineral enrichment that deals with possibly hazardous chemicals. Thus, using eco-friendly flotation reagents for such a process is an emerging need for sustainable development and green transition. As an innovative approach, this investigation explored the potential of locust bean gum (LBG) as a biodegradable depressant for the selective separation of fine hematite from quartz through reverse cationic flotation. Various flotation conditions (micro and batch flotation) were conducted, and the mechanisms of LBG adsorption have been examined by different analyses (contact angle measurement, surface adsorption, zeta potential measurements, and FT-IR analysis). The micro flotation outcome indicated that the LBG could selectively depress hematite particles with negligible effect on quartz floatability. Flotation of mixed minerals (hematite and quartz mixture in various ratios) indicated that LGB could enhance separation efficiency (hematite recovery > 88%). Outcomes of the surface wettability indicated that even in the presence of the collector (dodecylamine), LBG decreased the hematite work of adhesion and had a slight effect on quartz. The LBG adsorbed selectively by hydrogen bonding on the surface of hematite based on various surface analyses.
Adaptive filter with Riemannian manifold constraint
Authors: Mejia Jose , Mederos Boris , Gordillo Nelly , Ortega Leticia 
Published: June 2023

AbstractThe adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear manifold. In this article, we propose an alternative adaptive filter that works on a manifold, thus generalizing the filtering task to non-Euclidean spaces. To this end, we generalized the least-mean-squared algorithm to work on a manifold using an exponential map. Our experiments showed that the proposed method outperforms other state-of-the-art algorithms in several filtering tasks.
Oligonucleotide mapping via mass spectrometry to enable comprehensive primary structure characterization of an mRNA vaccine against SARS-CoV-2
Authors: Gau Brian C. , Dawdy Andrew W. , Wang Hanliu Leah , Bare Bradley , Castaneda Carlos H. , Friese Olga V. , Thompson Matthew S. , Lerch Thomas F. , Cirelli David J. , Rouse Jason C. 
Published: June 2023

AbstractOligonucleotide mapping via liquid chromatography with UV detection coupled to tandem mass spectrometry (LC-UV-MS/MS) was recently developed to support development of Comirnaty, the world’s first commercial mRNA vaccine which immunizes against the SARS-CoV-2 virus. Analogous to peptide mapping of therapeutic protein modalities, oligonucleotide mapping described here provides direct primary structure characterization of mRNA, through enzymatic digestion, accurate mass determinations, and optimized collisionally-induced fragmentation. Sample preparation for oligonucleotide mapping is a rapid, one-pot, one-enzyme digestion. The digest is analyzed via LC-MS/MS with an extended gradient and resulting data analysis employs semi-automated software. In a single method, oligonucleotide mapping readouts include a highly reproducible and completely annotated UV chromatogram with 100% maximum sequence coverage, and a microheterogeneity assessment of 5′ terminus capping and 3′ terminus poly(A)-tail length. Oligonucleotide mapping was pivotal to ensure the quality, safety, and efficacy of mRNA vaccines by providing: confirmation of construct identity and primary structure and assessment of product comparability following manufacturing process changes. More broadly, this technique may be used to directly interrogate the primary structure of RNA molecules in general.
Corrosion mitigation characteristics of some novel organoselenium thiourea derivatives for acid pickling of C1018 steel via experimental and theoretical study
Authors: Abd El-Lateef Hany M. , Khalaf Mai M. , Gouda Mohamed , Yousef T. A. , Kenawy Sayed H. , Abou-Krisha Mortaga M. , Alaasar Mohamed , Shaaban Saad 
Published: June 2023

AbstractTwo organoselenium thiourea derivatives, 1-(4-(methylselanyl)phenyl)-3-phenylthiourea (DS036) and 1-(4-(benzylselanyl)phenyl)-3-phenylthiourea (DS038) were produced and categorized using FTIR and NMR (1H and 13C). The effectiveness of the above two compounds as C-steel corrosion inhibitors in molar HCl was evaluated using the potentiodynamic polarization (PD) and electrochemical impedance spectroscopy (EIS) techniques. PD findings indicate that DS036 and DS038 have mixed-type features. EIS results show that growing their dose not only changes the polarization resistance of C-steel from 18.53 to 363.64 and 463.15 Ω cm2 but also alters the double layer capacitance from 710.9 to 49.7 and 20.5 μF cm−2 in the occurrence of 1.0 mM of DS036 and DS038, respectively. At a 1.0 mM dose, the organoselenium thiourea derivatives displayed the highest inhibition efficiency of 96.65% and 98.54%. The inhibitory molecule adsorption proceeded along the Langmuir isotherm on the steel substrate. The adsorption-free energy of the adsorption process was also intended and indicated a combined chemical and physical adsorption on the C-steel interface. FE-SEM studies support the adsorption and protective abilities of the OSe-based molecule inhibitor systems. In Silico calculations (DFT and MC simulations) explored the attraction between the studied organoselenium thiourea derivatives and corrosive solution anions on a Fe (110) surface. The obtained results show that these compounds can make a suitable preventing surface and control the corrosion rate.
A single-cell trajectory atlas of striatal development
Authors: Anderson Ashley G. , Kulkarni Ashwinikumar , Konopka Genevieve 
Published: June 2023

AbstractThe striatum integrates dense neuromodulatory inputs from many brain regions to coordinate complex behaviors. This integration relies on the coordinated responses from distinct striatal cell types. While previous studies have characterized the cellular and molecular composition of the striatum using single-cell RNA-sequencing at distinct developmental timepoints, the molecular changes spanning embryonic through postnatal development at the single-cell level have not been examined. Here, we combine published mouse striatal single-cell datasets from both embryonic and postnatal timepoints to analyze the developmental trajectory patterns and transcription factor regulatory networks within striatal cell types. Using this integrated dataset, we found that dopamine receptor-1 expressing spiny projection neurons have an extended period of transcriptional dynamics and greater transcriptional complexity over postnatal development compared to dopamine receptor-2 expressing neurons. Moreover, we found the transcription factor, FOXP1, exerts indirect changes to oligodendrocytes. These data can be accessed and further analyzed through an interactive website (https://mouse-striatal-dev.cells.ucsc.edu).
Effect of the molar ratio of (Ni2+ and Fe3+) on the magnetic, optical and antibacterial properties of ternary metal oxide CdO–NiO–Fe2O3 nanocomposites
Authors: Al-Mushki Asma A. A. , Ahmed Abdullah A. A. , Abdulwahab A. M. , Qaid Salem A. S. , Alzayed Nasser S. , Shahabuddin Mohammed , Abduljalil Jameel M. A. , Saad Fuad A. A. 
Published: June 2023

AbstractIn this work, the effect of the molar ratio of (Ni2+and Fe3+) on the properties of CdO–NiO–Fe2O3nanocomposites was investigated. The synthesis of CdO–NiO–Fe2O3nanocomposites was carried out by self-combustion. XRD, UV–Vis, PL and VSM were used to describe the physical properties of the materials. The results showed significant progress in structural and optical properties supporting antibacterial activity. For all samples, the particle size decreased from 28.96 to 24.95 nm with increasing Ni2+content and decreasing Fe3+content, as shown by the XRD pattern, which also shows the crystal structure of cubic CdO, cubic NiO, and cubic γ-Fe2O3spinel. The Ni2+and Fe3+contents in the CdO–NiO–Fe2O3nanocomposites have also been shown to enhance the ferromagnetic properties. Due to the significant coupling between Fe2O3and NiO, the coercivity Hcvalues of the samples increase from 66.4 to 266 Oe. The potential of the nanocomposites for antibacterial activity was investigated against Gram-positive (Staphylococcus aureus) and Gram-negative (Pseudomonas aeruginosa,Escherichia coli, andMoraxella catarrhalis) bacteria. Comparison ofP. aeruginosawithE. coli,S. aureusandM. catarrhalisshowed that it has a stronger antibacterial activity with a ZOI of 25 mm.
Stress-responsive Gdf15 counteracts renointestinal toxicity via autophagic and microbiota reprogramming
Authors: Ray Navin , Park Seung Jun , Jung Hoyung , Kim Juil , Korcsmaros Tamas , Moon Yuseok 
Published: June 2023

AbstractThe integrated stress response (ISR) plays a pivotal role in the cellular stress response, primarily through global translational arrest and the upregulation of cellular adaptation-linked molecules. Growth differentiation factor 15 (Gdf15) is a potent stress-responsive biomarker of clinical inflammatory and metabolic distress in various types of diseases. Herein, we assess whether ISR-driven cellular stress contributes to pathophysiological outcomes by modulating Gdf15. Clinical transcriptome analysis demonstrates that PKR is positively associated with Gdf15 expression in patients with renal injury. Gdf15 expression is dependent on protein kinase R (PKR)-linked ISR during acute renointestinal distress in mice and genetic ablation of Gdf15 aggravates chemical-induced lesions in renal tissues and the gut barrier. An in-depth evaluation of the gut microbiota indicates that Gdf15 is associated with the abundance of mucin metabolism-linked bacteria and their enzymes. Moreover, stress-responsive Gdf15 facilitates mucin production and cellular survival via the reorganization of the autophagy regulatory network. Collectively, ISR-activated Gdf15 counteracts pathological processes via the protective reprogramming of the autophagic network and microbial community, thereby providing robust predictive biomarkers and interventions against renointestinal distress.
Valleys are a potential refuge for the Amazon lowland forest in the face of increased risk of drought
Authors: Pohl Marius J. , Lehnert Lukas W. , Thies Boris , Seeger Konstantin , Berdugo Mónica B. , Gradstein S. Robbert , Bader Maaike Y. , Bendix Jörg 
Published: June 2023

AbstractThe Amazon rainforest is home to an incredible variety of plant and animal species and plays a crucial role in regulating the Earth’s climate. Climate change and human activities are putting this important ecosystem at risk. In particular, increasing droughts are making it harder for certain organisms to survive. Here we analyse a satellite-based data set of fog/low-stratus (FLS) frequency and a spatio-temporal drought index. We show that vulnerable organisms may find refuge in river valleys where FLS provides a source of moisture. We find that these favourable microclimates exist throughout the Amazon basin, with the highest occurrence and stability in steep river valleys. We suggest that protecting these hygric climate change refugia could help preserve the biodiversity and functioning of the Amazon ecosystem in the face of future droughts. This would also help stabilise atmospheric moisture recycling, making the region more resilient to climate change.
DGPR‐MPC: Learning‐based model predictive controller for autonomous vehicle path following
Authors: Yu Xuekai , Wang Hai , Teng Chenglong , Sun Xiaoqing , Chen Long , Cai Yingfeng 
Published: June 2023

AbstractIn this paper, the authors investigate the issue of constructing and incorporating an accurate vehicle dynamic model for model predictive control (MPC) with an application to autonomous vehicle path following. To achieve the desired performance, MPC employs a precise dynamic model. However, the uncertainty of complex systems and their operating environments presents a challenge to the development of an adequately accurate vehicle dynamic model. This paper proposes a Deep Gaussian Process Regression (DGPR) method to improve model precision. Meanwhile, the learning model is incorporated into a novel MPC framework to enhance closed‐loop performance. High‐fidelity simulations using CarSim‐MATLAB demonstrate the validity of the proposed approach in terms of enhancing the path following performance and lateral stability under the condition of large curvature at medium to high speeds on roads with different friction coefficients when compared to the nominal MPC approach.
A nine‐level T‐type inverter (9L‐TTI) with voltage boost capability
Authors: Firdous Zarren , Mekhilef Saad , Mishra Nidhi , Mustafa Asif , Seyedmahmoudian Mehdi , Stojcevski Alex 
Published: June 2023

AbstractThis paper introduces a 9L T‐type boost inverter (9L‐TTI) based multilevel topology, which generates a nine‐level output voltage in the boost mode. This topology uses 12 switching elements alongside less voltage stress and one switched capacitor unit. This is the significant advantage of the mentioned topology. Following the discussion of the advantages of the provided design, a comparative study is conducted. This results in a reduction in device counts, cost‐effectiveness, and voltage stress on the devices. For switching scheme, fundamental switching frequency‐based modulation is incorporated by having nearest level control (NLC) technique. For proper validation of this work, it is also demonstrated through test results. Here the results are demonstrated at different load conditions, which include resistive and inductive loads. Further, it is demonstrated at different modulation indices and total harmonic distortion (THD) of converter voltage and current for RL‐load, is validated from the power quality improvement point.