bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimized fractional-order Butterworth filter design in complex F-plane
Authors: Mahata Shibendu , Herencsar Norbert , Kubanek David , Goknar I. Cem 
Published: September 2022

AbstractThis paper introduces a new technique to optimally design the fractional-order Butterworth low-pass filter in the complex F-plane. Design stability is assured by incorporating the critical phase angle as an inequality constraint. The poles of the proposed approximants reside on the unit circle in the stable region of the F-plane. The improved accuracy of the suggested scheme as compared to the recently published literature is demonstrated. A mixed-integer genetic algorithm which considers the parallel combinations of resistors and capacitors for the Valsa network is used to optimize the frequency responses of the fractional-order capacitor emulators as part of the experimental verification using the Sallen–Key filter topology. The total harmonic distortion and spurious-free dynamic range of the practical 1.5th-order Butterwoth filter are measured as 0.13% and 62.18 dBc, respectively; the maximum and mean absolute relative magnitude errors are 0.03929 and 0.02051, respectively.
Intestinal permeability in patients with IgA nephropathy and other glomerular diseases: an observational study
Authors: Seikrit Claudia , Schimpf Judith I. , Wied Stephanie , Stamellou Eleni , Izcue Ana , Pabst Oliver , Rauen Thomas , Lenaerts Kaatje , Floege Jürgen 
Published: September 2022

Abstract
Background
A dysregulated ‘gut-kidney axis’ may contribute to immunoglobulin A nephropathy (IgAN). We studied whether IgAN patients have disturbed intestinal permeability.

Methods
In a prospective, cross sectional, pilot study we assessed intestinal permeability in 35 IgAN patients, 18 patients with non-IgAN glomerulonephritides (GNs) and 19 healthy controls. After an overnight fast, trial participants ingested a multi-sugar solution and samples were obtained from 0 to 2, 2 to 5- and 5 to 24-h urine portions. Urinary sugar concentrations were quantified using isocratic ion-exchange high performance liquid chromatography. Indices of small intestinal permeability (0–2-h lactulose/L-rhamnose (L/R) ratio), distal small intestinal and proximal colonic permeability (2–5-h sucralose/erythritol (S/E) ratio) and colonic permeability (5–24-h sucralose/erythritol (S/E) ratio) were evaluated. Associations between groups and indices of intestinal permeability were investigated by a linear mixed model.

Results
Small intestinal permeability (0–2 h L/R-ratio) was significantly increased in patients with glomerular diseases versus healthy controls. More precisely, increased small intestinal permeability was exclusively noted in non-IgAN GN patients, whereas IgAN patients exhibited a trend towards elevated small intestinal permeability. In total, 54% of patients with IgAN and 67% of non-IgAN GN patients had increased small intestinal permeability. Neither distal small intestinal and proximal colonic permeability nor colonic gut permeability indices (i.e., 2–5 h and 5–24 h S/E ratios) were significantly different between controls and any of the GN patient groups.

Conclusion
The present single center pilot study suggests that disturbed intestinal permeability is common in patients with glomerular diseases and is not specific for IgAN.

Trial registration number
German Clinical Trials Register DRKS00021533, Date: 24.04.2020.

Graphical abstract
Virtual reality intervention effects on future self-continuity and delayed reward preference in substance use disorder recovery: pilot study results
Authors: Shen Yitong I. , Nelson Andrew J. , Oberlin Brandon G. 
Published: September 2022

AbstractSustained remission from substance use disorder (SUD) is challenged by high relapse rates, which provides opportunities for novel clinical interventions. Immersive virtual reality (VR) permits delivering synthetic experiences that feel real and actualizes otherwise impossible scenarios for therapeutic benefit. We report on the feasibility of an immersive VR intervention designed to increase valuation of the future by enhancing future self-continuity and leveraging future self-discrepancy with personalized future selves as SUD recovery support. Twenty-one adults in early SUD recovery (< 1 year) interacted with versions of themselves age-progressed fifteen years from two different behavioral trajectories: an SUD Future Self and a Recovery Future Self. The future selves’ interactive monologs include personalized details and voice for a lifelike interaction within a time travel vignette. Before and following the intervention, participants rated future self-continuity and performed delay discounting. Following the intervention, daily images of the Recovery Future Self were sent to participants’ smartphones for thirty days. The VR intervention generated no adverse events, was well tolerated (presence, liking, and comfort), and significantly increased future self-continuity and delayed reward preference (doubling delay tolerance). The intervention also reduced craving,ps < 0.05. Thirty days later,n = 18 remained abstinent; importantly, increased future self-similarity persisted. Abstainers’ future self-similarity increased following VR. All individual participants showing increased future self-similarity post-VR remained abstinent, and all participants who relapsed showed either reduced or zero effect on future self-similarity. Post-intervention semi-structured interviews revealed emotional engagement with the experience. VR simulation of imagined realities reifies novel clinical interventions that are practicable and personalized. The current study demonstrates an implementation readily applied in the clinic and shows promise for facilitating SUD recovery. Creative collaboration between researchers, clinicians, and VR developers has great potential to revolutionize mental health interventions and expand the range of tools for clinicians targeting SUD and other disorders.
Holochain: a novel technology without scalability bottlenecks of blockchain for secure data exchange in health professions education
Authors: Kıyak Yavuz Selim , Poor Alex , Budakoğlu Işıl İrem , Coşkun Özlem 
Published: September 2022

AbstractThe efficacy of health professions education (HPE) is more and more reliant on leveraging new technologies as they emerge. The nascent “Web 3.0” is shifting us away from traditional centralized architectures for capture and storage of information, and aims to decentralize and distribute it. Blockchain has received a large amount of attention as a promising “Web 3.0” technology and has been applied in the HPE setting. In this paper we argue that blockchain has two core issues which have prevented its widespread adoption: scalability and environmental impact. The architecture of blockchain means that all participating nodes must store and validate all of the data. This creates a large amount of overhead, which does not scale well. Similarly, there is growing awareness that the energy requirements of validating blockchain transactions run counter to global efforts to mitigate climate change. Holochain, however, is a novel Web 3.0 technology that aims to overcome both of these issues. Its architecture is fundamentally different to blockchain, by virtue of being “agent-centric” rather than “data-centric”. That is, each piece of data does not need to be globally validated—and yet Holochain can still guarantee data validity and integrity. We identify that specific challenges in the HPE setting—tracking educational activities, accountable mechanisms for observing entrustable professional activities, and validation of third-party certification and credentialing—can all be achieved elegantly in Holochain, without experiencing any of the disadvantages evidenced in blockchain.
Creep response of fiber-reinforced composites: a review
Authors: Katouzian Mostafa , Vlase Sorin , Marin Marin , Öchsner Andreas 
Published: September 2022

AbstractThe paper presents the results obtained in modeling the creep phenomenon of unidirectional composites reinforced with fibers. Thus, several models that have proven their validity and results obtained with their help are discussed. Analyzing a multitude of models described in the paper presented in references the authors describe the most used by the researchers. The micromechanical model, the homogenization method, the finite element method and the Mori–Tanaka formalism are described. These methods are most used in engineering applications studies in the last time. Following the analysis of each method, the advantages and disadvantages are presented and discussed. The results obtained are compared with experimental determinations. The application of the methods is done to composite materials reinforced with aligned carbon fiber. The methods are, sure, valid for every type of composite reinforced with fibers. Since the creep of materials is a frequently encountered phenomenon in practice, the knowledge of material properties and the existence of convenient calculation models become important for designers, which is why the paper presents the most used calculation methods to model this behavior.
A preregistered vignette experiment on determinants of health data sharing behavior
Authors: Silber Henning , Gerdon Frederic , Bach Ruben , Kern Christoph , Keusch Florian , Kreuter Frauke 
Published: September 2022

AbstractThe COVID-19 pandemic has spotlighted the importance of high-quality data for empirical health research and evidence-based political decision-making. To leverage the full potential of these data, a better understanding of the determinants and conditions under which people are willing to share their health data is critical. Building on the privacy theory of contextual integrity, the privacy calculus, and previous findings regarding different data types and recipients, we argue that established social norms shape the acceptance of novel practices of data collection and use. To investigate the willingness to share health data, we conducted a preregistered vignette experiment. The scenarios experimentally varied the vignette dimensions by data type, recipient, and research purpose. While some findings contradict our hypotheses, the results indicate that all three dimensions affected respondents’ data sharing decisions. Additional analyses suggest that institutional and social trust, privacy concerns, technical affinity, altruism, age, and device ownership influence the willingness to share health data.
Spontaneous spin-valley polarization in NbSe2 at a van der Waals interface
Authors: Matsuoka Hideki , Habe Tetsuro , Iwasa Yoshihiro , Koshino Mikito , Nakano Masaki 
Published: September 2022

AbstractA proximity effect at a van der Waals (vdW) interface enables creation of an emergent quantum electronic ground state. Here we demonstrate that an originally superconducting two-dimensional (2D) NbSe2 forms a ferromagnetic ground state with spontaneous spin polarization at a vdW interface with a 2D ferromagnet V5Se8. We investigated the anomalous Hall effect (AHE) of the NbSe2/V5Se8 magnetic vdW heterostructures, and found that the sign of the AHE was reversed as the number of the V5Se8 layer was thinned down to the monolayer limit. Interestingly, the AHE signal of those samples was enhanced with the in-plane magnetic fields, suggesting an additional contribution to the AHE signal other than magnetization. This unusual behavior is well reproduced by band structure calculations, where the emergence of the Berry curvature along the spin-degenerate nodal lines in 2D NbSe2 by the in-plane magnetization plays a key role, unveiling a unique interplay between magnetism and Zeeman-type spin-orbit interaction in a non-centrosymmetric 2D quantum material.
Batch effects removal for microbiome data via conditional quantile regression
Authors: Ling Wodan , Lu Jiuyao , Zhao Ni , Lulla Anju , Plantinga Anna M. , Fu Weijia , Zhang Angela , Liu Hongjiao , Song Hoseung , Li Zhigang , Chen Jun , Randolph Timothy W. , Koay Wei Li A. , White James R. , Launer Lenore J. , Fodor Anthony A. , Meyer Katie A. , Wu Michael C. 
Published: September 2022

AbstractBatch effects in microbiome data arise from differential processing of specimens and can lead to spurious findings and obscure true signals. Strategies designed for genomic data to mitigate batch effects usually fail to address the zero-inflated and over-dispersed microbiome data. Most strategies tailored for microbiome data are restricted to association testing or specialized study designs, failing to allow other analytic goals or general designs. Here, we develop the Conditional Quantile Regression (ConQuR) approach to remove microbiome batch effects using a two-part quantile regression model. ConQuR is a comprehensive method that accommodates the complex distributions of microbial read counts by non-parametric modeling, and it generates batch-removed zero-inflated read counts that can be used in and benefit usual subsequent analyses. We apply ConQuR to simulated and real microbiome datasets and demonstrate its advantages in removing batch effects while preserving the signals of interest.
Inhibition of UBA6 by inosine augments tumour immunogenicity and responses
Authors: Zhang Lei , Jiang Li , Yu Liang , Li Qin , Tian Xiangjun , He Jingquan , Zeng Ling , Yang Yuqin , Wang Chaoran , Wei Yuhan , Jiang Xiaoyue , Li Jing , Ge Xiaolu , Gu Qisheng , Li Jikun , Wu Di , Sadler Anthony J. , Yu Di , Xu Dakang , Gao Yue , Yuan Xiangliang , He Baokun 
Published: September 2022

AbstractAnti-cancer immunity and response to immune therapy is influenced by the metabolic states of the tumours. Immune checkpoint blockade therapy (ICB) is known to involve metabolic adaptation, however, the mechanism is not fully known. Here we show, by metabolic profiling of plasma samples from melanoma-bearing mice undergoing anti-PD1 and anti-CTLA4 combination therapy, that higher levels of purine metabolites, including inosine, mark ICB sensitivity. Metabolic profiles of ICB-treated human cancers confirm the association between inosine levels and ICB sensitivity. In mouse models, inosine supplementation sensitizes tumours to ICB, even if they are intrinsically ICB resistant, by enhancing T cell-mediated cytotoxicity and hence generating an immunologically hotter microenvironment. We find that inosine directly inhibits UBA6 in tumour cells, and lower level of UBA6 makes the tumour more immunogenic and this is reflected in favourable outcome following ICB therapy in human melanomas. Transplanted mouse melanoma and breast cancer cells with genetic ablation of Uba6 show higher sensitivity to ICB than wild type tumours. Thus, we provide evidence of an inosine-regulated UBA6-dependent pathway governing tumour-intrinsic immunogenicity and hence sensitivity to immune checkpoint inhibition, which might provide targets to overcome ICB resistance.
Liver group 2 innate lymphoid cells regulate blood glucose levels through IL-13 signaling and suppression of gluconeogenesis
Authors: Fujimoto Masanori , Yokoyama Masataka , Kiuchi Masahiro , Hosokawa Hiroyuki , Nakayama Akitoshi , Hashimoto Naoko , Sakuma Ikki , Nagano Hidekazu , Yamagata Kazuyuki , Kudo Fujimi , Manabe Ichiro , Lee Eunyoung , Hatano Ryo , Onodera Atsushi , Hirahara Kiyoshi , Yokote Koutaro , Miki Takashi , Nakayama Toshinori , Tanaka Tomoaki 
Published: September 2022

AbstractThe liver stores glycogen and releases glucose into the blood upon increased energy demand. Group 2 innate lymphoid cells (ILC2) in adipose and pancreatic tissues are known for their involvement in glucose homeostasis, but the metabolic contribution of liver ILC2s has not been studied in detail. Here we show that liver ILC2s are directly involved in the regulation of blood glucose levels. Mechanistically, interleukin (IL)-33 treatment induces IL-13 production in liver ILC2s, while directly suppressing gluconeogenesis in a specific Hnf4a/G6pc-high primary hepatocyte cluster via Stat3. These hepatocytes significantly interact with liver ILC2s via IL-13/IL-13 receptor signaling. The results of transcriptional complex analysis and GATA3-ChIP-seq, ATAC-seq, and scRNA-seq trajectory analyses establish a positive regulatory role for the transcription factor GATA3 in IL-13 production by liver ILC2s, while AP-1 family members are shown to suppress IL-13 release. Thus, we identify a regulatory role and molecular mechanism by which liver ILC2s contribute to glucose homeostasis.
Reverse osmosis membrane biofouling: causes, consequences and countermeasures
Authors: Hoek Eric M. V. , Weigand Timothy M. , Edalat Arian 
Published: September 2022

AbstractBiofouling has been referred to as “the Achilles heel” of reverse osmosis (RO) membrane technology; the main cause being polyamide RO membranes lack of chlorine tolerance. Biofouling increases the operating cost of water treatment by increasing RO system feed pressure (i.e., energy demand) and increasing membrane cleaning frequency, which increases downtime and reduces membrane useful life. For waters with known high biofouling potential, plant designs also may require more extensive pretreatment, which increases capital and operating costs as well as the footprint of a desalination plant. It is known from the literature that the three keys to fending off biofouling in RO systems and/or recovering from biofouling once it takes root include (1) understanding site-specific processes governing biofilm formation, (2) implementing effective biofouling pretreatment ahead of RO membranes, and (3) monitoring biofouling to enable more proactive and effective RO membrane cleaning. Herein, we present four case studies of RO membrane biofouling in seawater, municipal wastewater, brackish groundwater and industrial wastewater. Next, we describe what is known about the causes and consequences of bacterial biofilm formation and growth through a process level RO membrane biofouling model. Finally, we review common biofouling control methods including pre-treatment, chemical cleaning and the most common strategies for monitoring biofouling in RO membrane systems.
Laser cleaning and Raman analysis of the contamination on the optical window of a rubidium vapor cell
Authors: Gádoros Patrik , Czitrovszky Aladár , Nagy Attila , Holomb Roman , Kocsányi László , Veres Miklós 
Published: September 2022

AbstractIn this work, we present the laser cleaning of a Rubidium vapor cell and the Raman analysis of the contaminant material to be removed. The optical window of the vapor cell had gradually lost transparency due to the development of an opaque layer of unknown composition at the inner side during the normal operation of the cell. Laser cleaning was successfully performed by a frequency-doubled Nd:YAG laser focusing the beam inside the cell, avoiding any possible damage to the window. A single laser pulse was enough to clear away the black discoloration at the focal spot and locally restore the transparency of the window. The Raman spectra of the deposit showed peaks not yet described in the literature. Comparison with known Rubidium germanate spectra and simulation results strongly suggested that the unknown material was Rubidium silicate.
Skin microbiota analysis in patients with anorexia nervosa and healthy-weight controls reveals microbial indicators of healthy weight and associations with the antimicrobial peptide psoriasin
Authors: Hermes Britt M. , Rademacher Franziska , Chung Cecilia , Tiegs Gisa , Bendix Marie-Christin , de Zwaan Martina , Harder Jürgen , Baines John F. 
Published: September 2022

AbstractAnorexia nervosa (AN), a psychiatric condition defined by low body weight for age and height, is associated with numerous dermatological conditions. Yet, clinical observations report that patients with AN do not suffer from infectious skin diseases like those associated with primary malnutrition. Cell-mediated immunity appears to be amplified in AN; however, this proinflammatory state does not sufficiently explain the lower incidence of infections. Antimicrobial peptides (AMPs) are important components of the innate immune system protecting from pathogens and shaping the microbiota. InDrosophila melanogasterstarvation precedes increased AMP gene expression. Here, we analyzed skin microbiota in patients with AN and age-matched, healthy-weight controls and investigated the influence of weight gain on microbial community structure. We then correlated features of the skin microbial community with psoriasin and RNase 7, two highly abundant AMPs in human skin, to clarify whether an association between AMPs and skin microbiota exists and whether such a relationship might contribute to the resistance to cutaneous infections observed in AN. We find significant statistical correlations between Shannon diversity and the highly abundant skin AMP psoriasin and bacterial load, respectively. Moreover, we reveal psoriasin significantly associates withAbiotrophia, an indicator for the healthy-weight control group. Additionally, we observe a significant correlation between an individual’s body mass index andLactobacillus, a microbial indicator of health. Future investigation may help clarify physiological mechanisms that link nutritional intake with skin physiology.
A radiomics-based study for differentiating parasellar cavernous hemangiomas from meningiomas
Authors: Wang Chunjie , You Lidong , Zhang Xiyou , Zhu Yifeng , Zheng Li , Huang Wangle , Guo Dongmei , Dong Yang 
Published: September 2022

AbstractTo investigate the value of the radiomic models for differentiating parasellar cavernous hemangiomas from meningiomas and to compare the classification performance with different MR sequences and classifiers. A total of 96 patients with parasellar tumors (40 cavernous hemangiomas and 56 meningiomas) were enrolled in this retrospective multiple-center study. Univariate and multivariate analyses were performed to identify the clinical factors and semantic features of MRI scans. Radiomics features were extracted from five MRI sequences using radiomics software. Three feature selection methods and six classifiers were evaluated in the training cohort to construct favorable radiomic machine-learning classifiers. The performance of different classifiers was evaluated using the AUC and compared to neuroradiologists. The detection rates of T1WI, T2WI, and CE-T1WI for parasellar cavernous hemangiomas and meningiomas were approximately 100%. In contrast, the ADC maps had the detection rate of 18/22 and 19/25, respectively, (AUC, 0.881) with 2.25 cm as the critical value diameter. Radiomics models with the SVM and KNN classifiers based on T2WI and ADC maps had favorable predictive performances (AUC > 0.90 and F-score value > 0.80). These models outperformed MRI model (AUC 0.805) and neuroradiologists (AUC, 0.756 and 0.545, respectively). Radiomic models based on T2WI and ADC and combined with SVM and KNN classifiers have the potential to be a viable method for differentiating parasellar hemangiomas from meningiomas. T2WI is more universally applicable than ADC values due to its higher detection rate for parasellar tumors.