bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Er Miao San on rheumatoid arthritis via the NF-κB signaling pathway: Based on network pharmacology and experimental validation
Authors: Xuan Zihua , Chen Simeng , Meng Xiangwen , Wang Jin , Cheng Zhiluo , Liu Min , Wang Jiayu , Zhang Min , Jia Xiaoyi 
Published: October 2022

Abstract
Background: This study aims to explore the potential molecular mechanism of Er Miao San (EMS) in rheumatoid arthritis (RA) on the basis of network pharmacology and molecular docking.
Methods: The active ingredients and targets of EMS, RA and pathways were obtained through multiple databases. Common targets were analyzed by protein-protein interactions (PPIs) with the STRING database. Gene Ontology (GO) and KEGG enrichment analyses were conducted with the DAVID database to annotate targets of RA and common targets. Hub genes were obtained by the degree algorithm with the cytoHubba plug-in. Based on the determined network pharmacology, experimental validation was performed.
Results: In this study, 45 active ingredients, 3162 potential drug targets and 343 pathway targets were uncovered via databases. The top 3 hub targets were obtained by the degree algorithm for 34 common target genes, including NFKBIA (encodes the IκBα protein), RELA (also named p65) and TNF. Molecular docking demonstrated that the core components fumarine, berberine and wogonin (Degree: 19, 16, 16, respectively) bind well to hub targets. In vivo experiments showed that EMS has better protective effects on adjuvant arthritis (AA) rats. In vitro studies demonstrated that EMS could inhibit the proliferation of TNF-ɑ-induced FLSs and attenuate the production of inflammatory cytokines in a dose-dependent manner. Moreover, treatment with EMS significantly decreased the ratio of p-NF-κB p65/NF-κB p65 and p-IκBα/IκBα in FLSs. Furthermore, as shown in the investigations, treatment of FLSs with 10% EMS remarkably suppressed TNF-ɑ-induced nuclear translocation of NF-κB p65 to FLSs. Conclusion: The potential mechanisms and therapeutic effects of EMS on RA may be attributed to the regulation of inflammation, which provides a reference for elucidating the mechanism of action of EMS.
Time-Efficient Constant-Space-Overhead Fault-Tolerant Quantum Computation
Authors: Yamasaki Hayata , Koashi Masato 
Published: October 2022

Abstract
Scalable realization of quantum computing to attain substantial speedups over classical computing requires fault tolerance.
Conventionally, protocols for fault-tolerant quantum computation (FTQC) demand excessive space overhead of physical qubits per logical qubit. A more recent protocol to achieve constant-space-overhead FTQC using quantum low-density parity-check (LDPC) codes thus attracts considerable attention but suffers from another drawback: it incurs polynomially long time overhead. To address these problems, we here introduce an alternative approach using a concatenation of multiple small-size quantum codes for the constant-space-overhead FTQC rather than a single large-size quantum LDPC code. We develop techniques for concatenating different quantum Hamming codes with growing sizes. As a result, we construct a low-overhead protocol to achieve constant space overhead and only quasi-polylogarithmic time overhead simultaneously. Our protocol accomplishes FTQC even if a decoder has non-constant runtime, unlike the existing constant-space-overhead protocol. These results establish a foundation for FTQC realizing a large class of quantum speedups within feasibly bounded space overhead yet negligibly short time overhead. This achievement opens a promising avenue for the low-overhead FTQC based on code concatenation.
Ecological distribution of modern diatom in peatlands in the northern Greater Khingan Mountains and its environmental implications
Authors: Han Dongxue , Sun Yang , Cong Jinxin , Gao Chuanyu , Wang Guoping 
Published: October 2022

Abstract
Relationships between diatoms assemblages and environmental variables in peatlands of the northern Greater Khingan Mountains is helpful for understanding the indicative significance of diatoms to environment changes, and potentially provides a reference for environmental monitoring and paleoenvironment reconstruction in the edge of monsoon region. In this study we analyzed modern diatom distribution and explored the relationships between diatoms assemblages and 11 environment factors in 30 shrubby-herbaceous and herbaceous peatlands based on ordination analysis. Benthic and epiphytic Pennatae diatoms are mainly ecological types, whereas planktonic Centricae diatoms are relatively fewer. The most diverse genera are Navicula, Pinnularia and Eunotia. Eunotia paludosa and Achnanthes minutissima dominated in shrubby-herbaceous peatlands, while Navicula minima and Fragilaria capucina dominated in herbaceous peatlands. The diatom community structures are different in different vegetation types and the diatom species diversity in herbaceous peatlands is higher than in shrubby-herbaceous peatlands. CODMn and pH are the most important environmental factors affecting diatom species composition and diversity. Eunotia bilunaris var. bilunaris, Eunotia mucophila and Eunotia paludosa can be used as indicators of acidic water environments. Caloneis silicula, Fragilaria capucina, Hantzschia amphioxys and Navicula radiosa can be applied to indicate the weak alkaline water conditions. Eunotia bilunaris var. bilunaris and Eunotia paludosa can indicate low conductivity, while Navicula pupula indicates the medium-high conductivity. Fragilaria capucina and Navicula radiosa can indicate water nutrients states.
CNC Deep Hole Drilling with the Quadruple Zone Technique
Authors: Omirou Sotiris L. , Chasos Charalambos A. 
Published: October 2022

Abstract
Generally, in CNC machining operations, drilling of holes is handled by special canned cycles available in all modern CNC controls. These cycles offer to the user, the capability of programming the required data of drilling in the form of parameters. Hole position, depth of hole, setup clearance, plunging depth and cutting feedrate are all expressed as parameters in the structure of the respective canned cycle. The specific canned cycles are intended to accommodate all drilling demands regardless of the hole’s depth. However, to achieve a successful result, when the case comes to deep holes, cutting conditions need to be adapted accordingly and dynamically as the tool advances from the top surface to the deeper levels of the hole. Unfortunately, the existing drilling canned cycles lack of similar flexible capabilities due to their standard programming framework. The present work proposes the quadruple zone technique that bypasses the limits of the existing canned cycles and offers to the operator the capability of defining different cutting conditions at four consecutive depth zones, leading in this way to an effective and smooth deep hole drilling. The technique is implemented in the form of a G-code parametric programming algorithm.
A sensitive high repetition rate arrival time monitor for X-ray Free Electron Lasers
Authors: Diez Michael , Kirchberg Henning , Galler Andreas , Schulz Sebastian , Bömer Christina , Biednov Mykola , Choi Tae-Kyu , Rodriguez-Fernandez Angel , Gawelda Wojciech , Khakhulin Dmitri , Kubicek Katharina , Lima Frederico , Otte Florian , Zalden Peter , Coffee Ryan , Thorwart Michael , Bressler Christian 
Published: October 2022

Abstract
We demonstrate a new scheme to measure the relative arrival time between femtosecond pulses of hard X-radiation from a free electron laser and femtosecond optical pulses from an amplified laser system at the Femtosecond X-ray Experiments Instrument of European XFEL. The method is based on interference between two chirped optical pulses traversing through an X-ray stimulated diamond plate. Applying an effective medium theory we measure subtle refractive index changes of 5.7 × 10-5 due to the density of conduction band electrons generated by the sub-milli-Joule intense X-ray pulse. The setup operates with a Common-Path-Interferometer, detecting the X-ray-induced phase shift of the optical probe pulses transmitting through the diamond sample. Due to the thermal stability of the diamond sample this scheme operates well at the MHz pulse repetition rates of superconducting linac-based XFELs.
Necrocide 1 Mediates a Non-Apoptotic Necrotic Cell Death and Immunogenic Response in Human Cancer Cells
Authors: Zhang Jing , Trojel-Hansen Christina , Wang Jianghuang , ZHANG ZILI , Wang Xing , Qiao Yuhui , Jiao Huike , Michaud Mickaël , Kepp Oliver , Galluzzi Lorenzo , Høyer-Hansen Maria , Jäättelä Marja , Kroemer Guido , Zhong Qing 
Published: October 2022

AbstractMany anticancer agents induce apoptosis, mitotic catastrophe or senescence. Here, we report the functional characterization of an experimental inducer of TNF-independent necrosis, necrocide-1 (NC1). NC1 (but not its stereoisomer) killed a panel of human cancer cell lines (but not normal cells) at nanomolar concentrations and induced a non-apoptotic, necrotic morphotype, bothin vitroandin vivo, in human cancer cells and xenograft models. NC1-induced killing was not inhibited by caspase inhibitors, Bcl-2 overexpression or TNF neutralization, suggesting that NC1 elicits abona fidenecrotic pathway. However, pharmacological or genetic inhibition of necroptosis, pyroptosis and ferroptosis faild to block NC1-mediated regulated necrosis. Instead, NC1 elicited mitochondria ROS production, either elimination of mitochondrial DNA or chemical inhibition of mitochondrial ROS production blocked NC1-induced necrotic cell death. NC1 induced all hallmarks of immunogenic cell death (calreticulin exposure, ATP release and HMGB1 release)in vitro, and NC1-killed mouse cancer cells were able to induce a protective anticancer immune response when injected into histo-compatible, immunocompetent mice. Altogether, we identify a previously uncharacterized signaling cascade leading to necrotic cell death and provided further support to the notion that the induction of programmed necrosis may constitute a future approach for anticancer therapy.
Testing equations for predicting the impact of urbanisation and stormwater detention on regional catchment runoff
Authors: Ronalds Rodney 
Published: October 2022

Abstract
Equations have recently been published that may be utilised to predict the impact of urbanisation and stormwater detention on regional catchment runoff. The equations only require inputs of a development site’s location and site area, relative to the regional catchment. This technical note describes the application of the equations with examples of their performance in “real world” rainfall conditions. The importance of joint probability analysis is also discussed, with a new modelling module accounting for the spatial distribution of rainfall used to support the accuracy and practicality of the equations for regular use by practitioners.
WITHDRAWN: Integration of Blockchain Technology with Deep Learning Approaches: Vision and Future Opportunities
Authors: Afaq Yasir , Manocha Ankush 
Published: October 2022

Abstract
Recently, Deep Learning and blockchain technology has gained successful attention in recent research due to their high potential for generating accurate decision. The operational transparency, traceability, dependability, security, and trustworthy data provenance characteristics are offered by the vast majority of current deep learning approaches that are developed on centralized servers. Therefore, using centralized data to train Deep Learning models makes them vulnerable to the single point of failure issue. In this article, the benefits of combining Blockchain and Deep Learning algorithms are explored. Moreover, the state-of-the-art literature is reviewed to find out the most possible way to integrate these two technologies for an optimal solution. Based on the literature survey this article is divided by a thematic taxonomy that includes seven different parameters such as Deep Learning techniques, protocols, domains, types of blockchain, use of deep learning and blockchain, and datasets. We have outlined the advantages and disadvantages of the most advanced blockchain-based deep learning frameworks to give insightful discussions. At last, the most important challenges that need further research are also highlighted with future recommendations.
Prognostic impact of RUNX1 mutations and deletions in pediatric acute myeloid leukemia: results from the French ELAM02 study group
Authors: Lew-Derivry Lucille , Marceau Alice , Fenwarth Laurène , Cuccuini Wendy , Ballerini Paola , Ferreboeuf Maxime , Guilmatre Audrey , Petit Arnaud , Gandemer Virginie , Rialland Fanny , schneider pascale , Michel Gérard , bertrand yves , Baruchel André , Preudhomme Claude , Leverger Guy , Lapillonne Hélène 
Published: October 2022

Abstract
Better knowledge of genetic aberrations in pediatric acute myeloid leukemia is essential to adapt treatment intensity. RUNX1 mutations are well described in adult AML and known to be associated with a poor outcome. In children, first studies showed similar results but because of their low frequency, prognosis impact remains unclear. RUNX1 deletions have rarely been described.
Among 386 children enrolled in the French ELAM02 trial, we observed 29 (8%) patients with RUNX1 abnormalities: 24 mutations and 5 deletions. We found no significant association with any clinical presentation. RUNX1 alteration was more likely associated with AML0 cytological subtype; often presented with normal karyotype but no rearrangement classified as good prognosis markers (KMT2A or CBF-AML).
RUNX1 mutated patients had higher number of co-mutations, such as FLT3-ITD, EZH2 and BCOR mutations but were never associated with NPM1 or CEBPA.
Five years EFS was 32.5% for RUNX1 mutated and deleted patients versus 61.4% for RUNX1 wild type (p=0.003), and OS was 33.6% versus 75.7% (p<0.0001), confirming the negative impact already described in literature. The association between RUNX1 abnormalities in pediatric AML with an inferior survival needs more studies to precise its place in risk stratification in order to optimize treatment intensity.
An integrated approach of remote sensing with multi-criteria analysis (AHP and MIF) to assess groundwater potential zones in the Sirwa Massif, southern Morocco
Authors: Tazi Mohammed Jalal , Azzab Driss El , Charroud Mohammed , Zahour Rachid , Amadou Abdourahamane Halidou , Jabrane Oussama 
Published: October 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Evaluation of residual yeast from brewery industry for inactive biosorption of selenium from industrial wastewater: a case study
Authors: Gonçalves Aieska Alves , Hackbarth Haira Gabriela , Wisbeck Elisabeth , Souza Ozair 
Published: October 2022

Abstract
Purpose In this study, the second-life application of Saccharomyces cerevisiae obtained from brewery wastewater was evaluated in the biosorption of Se(IV) (Na 2 SeO 3 ) sorbate in residue generated from a fine chemical industry.
Method Biosorption experiments were carried out with different Se(IV) concentrations (A = 7.5 to 30.0 mg L -1 dissolved in deionized water or industrial effluent) and different biosorbent concentration (B = 2.0 to 52.5 g L -1 , dry mass). Inactive microbial biomass was evaluated in a wet and dehydrated state.
Results The highest selenium removal efficiency (biosorption efficiency – R = 97.5%) was achieved with the same concentrations of sorbate in deionized water, using 24.0 g L -1 of wet cells. In contrast, the industrial effluent treatment showed lower biosorption efficiency ( R = 83.3%) due to a large amount of other salts in the medium, mainly sulphur. Overall, the use of smaller amounts of biosorbent had a biosorption capacity of approximately five times greater than when 24.0 g L -1 in industrial effluent treatment were used.
Conclusions However, as reducing the concentration of the contaminant contained in the wastewater is the primary goal of this study, a more significant amount of biosorbent is recommended.
Supercontinuum Generation in Silica-Based Photonic Crystal Fibers for High-Resolution Ophthalmic Optical Coherence Tomography
Authors: Arunkumar Udayakumar , Pakarzadeh Hassan , Fatemipanah Zahrasadat 
Published: October 2022

Abstract
Optical coherence tomography (OCT) is a new technology for high-resolution cross-sectional images of biological tissues. In this paper, we design photonic crystal fibers (PCFs) made of silica with proper dispersion characteristics about the center wavelength of 800 nm to simulate supercontinuum generation (SCG) which is desired for high-resolution OCT in ophthalmology. Several types of PCFs with different air-hole diameters are designed where squared hyperbolic secant pulses are input to simulate SCG by solving generalized nonlinear Schrodinger equation (GNLSE) via split-step Fourier method. To obtain more accurate SCG, dispersion coefficients up to the 9th order, Raman scattering and self-steepening are taken into account. We examine impacts of air-hole diameter, input pulse width and pulse peak power on the SCG bandwidth as well as the OCT resolution through which suitable parameters for maximum axial resolution in ophthalmology are determined.
Prevalence and factors associated with insomnia among medical students in China during the COVID-19 pandemic: characterization and associated factors
Authors: Zhang Ming , Qin Li , Zhang Dongmei , Tao Mingfen , Han Kangrong , Chi Chenru , Zhang Zhongying , Tao Xiubin , Liu Huan 
Published: October 2022

AbstractBackgroundInsomnia has become an important issue in recent years. Insomnia is affected by many factors. Previous research has shown that during the COVID-19 epidemic, there would be a long-term negative effect on the mental health of medical college students. The state of medical college students’ insomnia directly determines the results of medical education and the career development prospects of the medical students themselves. Therefore, it is very important to understand the insomnia situation of medical students in the post-epidemic era.MethodsThis study was conducted 2 years after the global COVID-19 pandemic (April 1-April 23, 2022). The study used an online questionnaire, administered through a web-based survey platform. The Athens Insomnia Scale (AIS), Fear of COVID‐19 Scale (FCV-19S), GAD-2, PHQ-2, and socio-demographic information were surveyed by the Questionnaire Star platform.ResultsThe prevalence of insomnia was 27.8.0% (636/2289). Chi-squared tests revealed that, loneliness(P<0.001), depression and anxiety co-morbidities(P<0.001), age(P<0.001), and grade(P<0.001) strong associations of insomnia. Fear of COVID-19 was highly correlated with insomnia (P<0.001). adapting to online classes(P<0.001) was a protective factor of smartphone addiction.ConclusionsThe aim of this study was to investigate the prevalence of insomnia and identify associated influencing factors among college students in Anhui Province, China. This survey shows that Insomnia was highly prevalent among the Chinese medical college students during the COVID-19 pandemic. These negative insomnia issues could decline learning enthusiasm, productivity, and eventually, affecting the medical college student academic performance. Therefore, the government and schools should formulate targeted programs and strategies to reduce insomnia among medical college students.
Features and spatial patterns of an agricultural landscape along an urban-rural gradient
Authors: Wijesingha Jayan , Astor Thomas , Nautiyal Sunil , Wachendorf Michael 
Published: October 2022

AbstractGlobally, the agricultural landscape is the most exposed landscape due to urbanisation. Therefore, finding spatial and temporal patterns of changes in the agricultural landscape is essential for sustainable development. To address this information gap, this study developed a workflow to determine spatial patterns and characteristics in an agricultural landscape along an urban-rural gradient in Bengaluru, India, using satellite remote sensing data. Pixel-based hierarchical supervised classification was employed to map agricultural land-cover using WorldView 3 imaging. Four major herbaceous crop types (millet, maize, pulses, and cash crops) and woody plantations were mapped as agricultural land-cover. Landscape metrics-based values were utilised to identify spatial patterns of the agricultural land-cover against the degree of urbanisation using a previously suggested survey stratification index. A data-driven, unsupervised clustering method was applied to determine the agricultural landscape types. Herbaceous crop type and woody plantation mapping resulted in 63.5 % and 89.2 % overall accuracy, respectively. Landscape pattern analysis indicated that the share of agricultural land increased from urban to rural areas, and diverse heterogeneous patterns appeared in transition regions. Moreover, field crops were dominant in rural areas, whereas cash crops were the primary crop type in urban regions. Woody plantation was the most significant crop type in both urban and transition regions. Four agricultural landscape types were defined. The findings suggest that urbanisation in Bengaluru has an apparent effect on the agricultural landscape. The developed workflow may be transferred to other distinct areas and could help to understand temporal patterns in urbanisation processes and compare the characteristics of agricultural landscapes.
Clinical characteristics and potential association to Parkinson’s disease and dementia with Lewy bodies in patients with major depressive disorder who received maintenance electroconvulsive therapy: a retrospective chart review study
Authors: Kudo Shun , Uchida Takahito , Nishida Hana , Takamiya Akihiro , Kikuchi Toshiaki , Yamagata Bun , Mimura Masaru , Hirano Jinichi 
Published: October 2022

Abstract
Background: Maintaining remission after electroconvulsive therapy (ECT) is clinically relevant in patients with depression, and maintenance ECT has been introduced in patients who fail to maintain remission after ECT. However, the clinical characteristics and biological background of patients who receive maintenance ECT are poorly understood. Thus, this study aimed to examine the clinical background of patients who underwent maintenance ECT.
Methods: Patients with major depressive disorder who underwent ECT followed by maintenance ECT (mECT group) and those who did not (acute ECT [aECT] group) were included. Clinical characteristics, including the results of 123I-metaiodobenzylguanidine (MIBG) scintigraphy and dopamine transporter imaging single-photon emission computerized tomography (DaT) were compared between the groups.
Results: In total, 13 and 146 patients were included in the mECT and aECT groups, respectively. Compared to the aECT group, the mECT group showed a significantly higher prevalence of melancholic features (92.3% vs. 27.4%, p < 0.001) and catatonic features (46.2% vs. 9.6%, p = 0.002). Overall, 5/13 patients in the mECT group and 16/146 patients in the aECT group showed relevant imaging findings for Parkinson's disease and dementia with Lewy bodies (PD/DLB) on MIBG scintigraphy or DaT; the positive rate was not significantly different between the two groups.
Limitations: Neurological examinations for PD/DLB were not performed.
Conclusions: Patients who receive acute and maintenance ECT may have underlying neurodegenerative diseases, including PD/DLB. Investigating the neurobiology of patients who receive maintenance ECT is important for developing appropriate treatment for depression.