bluuebunny/crossref_metadata_2025_split huggingface dataset:
P2RY6 activation aggravates NLRP3-dependent microglial pyroptosis via down-regulation of the PI3K/AKT pathway in a mouse model of intracerebral hemorrhage
Authors: Li Yulong , Tu Huiru , Zhang Shengfan , Ding Zhiquan , Wu Guiwei , Piao Jifeng , Lv Dingyi , Hu Libin , Li Feng , Wang Qinghua 
Published: November 2022

Abstract

Background Pro-inflammatory signals generated after intracerebral hemorrhage (ICH) trigger a form of regulated cell death known as pyroptosis in microglia. Although the p2Y purinoceptor 6 (P2RY6) plays a significant role in control of inflammatory reactions in central nervous system diseases, its roles in the development of neuroinflammation and microglial pyroptosis following ICH remain unclear. Methods Type IV collagenase was injected to induce ICH. Mice were then treated with MRS2578 and LY294002 to inhibit P2RY6 and phosphatidylinositol 3-kinase (PI3K), respectively. Bio-conductivity analysis was performed to examine PI3K/AKT pathway involvement. Immunostaining and quantitative polymerase chain reaction (qPCR) analyses were conducted to examine pyroptosis following P2RY6 inhibitor treatment. Western blot and immunostaining were performed to clarify the specific mechanisms underlying microglia pyroptosis and white matter injury (WMI). A modified Garcia test, corner turning test, and forelimb placement test were used to assess neurobehavioral function. Results Increases in the expression of P2RY6 and pyroptosis-related proteins were observed after ICH, peaking 24 h post ICH. P2RY6 was only expressed on microglia. Administration of MRS2578, a specific inhibitor of P2RY6, attenuated short-term neurobehavioral deficits and WMI while decreasing both microglia pyroptosis and cerebral edema. These changes were attended by decreases in pyroptosis-relatived proteins and pro-inflammatory cytokines. Bioinformatic analysis revealed an association between the PI3K/AKT pathway and P2RY6-mediated neuroinflammation. The effects of MRS2578 were partially reversed by treatment with LY294002, a specific PI3K inhibitor. Conclusion P2RY6 activation induces microglial pyroptosis, deficits in neurological function and WMI, partially via the P2RY6/PI3K/AKT/NLRP3 pathway. Consequently, targeting P2RY6 might be a promising approach to the therapy of ICH.
Conditional Survival in Multiple Myeloma and Impact of Prognostic Factors Over Time
Authors: Abdallah Nadine , Smith Alexandra , Geyer Susan , Binder Moritz , Greipp Patricia , Kapoor Prashant , Dispenzieri Angela , Gertz Morie , Baughn Linda , Lacy Martha , HAYMAN Suzanne , Buadi Francis , Dingli David , Hwa Yi , Lin Yi , Kourelis Taxiarchis , Warsame Rahma , KYLE Robert , Rajkumar S. Vincent , Kumar Shaji 
Published: November 2022

Abstract
Overall Survival estimates from diagnosis are valuable for guiding treatment, but do not consider the years already survived. Conditional survival (CS) provides dynamic survival predictions over time. This study was conducted to estimate CS at 1–8 years from diagnosis and the impact of baseline prognostic factors on CS in multiple myeloma (MM) patients. This is a retrospective study including 2556 MM patients diagnosed between 2004–2019. CS (t|s) was defined as the probability of surviving t years given survival of s years. Median age was 64 years. Median follow-up was 6.2 years and median overall survival from diagnosis was 7.5 years. The 5-year CS estimates at s = 0, 1, 2, 3, and 5 years were 0.64, 0.61, 0.61, 0.61, and 0.58, respectively. On multivariate analysis, age ≥ 65 and proteasome inhibitor + immunomodulatory-based induction were associated with decreased survival and increased survival, respectively, retained at 5 years. The adverse impact of 1q gain/amplification, high-risk IgH translocation, and ISS-3 was significant at 1 and 3 years but not 5 years. Chromosome 17 abnormality was associated with decreased survival only at 1 year. Among MM patients, 5-year CS was stable at 1–5 years from diagnosis. The prognostic impact of high-risk cytogenetic factors decreased with additional years survived.
A nasal spray vaccination device based on Laval nozzle and its experimental test
Authors: Wang Zhong , Zhang Zhengyuan , Wang Qian , Zeng Lingliao , Jin Jian 
Published: November 2022

Abstract
In order to realize the application of the nasal spray vaccination in the prevention and protection of respiratory infectious diseases, a nasal spray vaccination device is designed in this paper. The device uses a Laval nozzle structure to form a high-speed airflow to impinge on the vaccine reagent and form nebulized particles. Through optimization of the Laval nozzle structure and several experiments, a set of parameters which is applicable to actual nasal spray vaccination is obtained. The experimental results show that when the gas source pressure is 2 bar, the spray angle is about 15°, the diameter of the sprayed particles Xv50 is about 16 um, the volume fraction of particles with diameter larger than 10um is about 75%, the spraying rate is close to 300 ul/s. The vaccine activity tests demonstrate that under these conditions, not only the Active pharmaceutical ingredient (API) of the vaccine is guaranteed, but also the requirements of the spray particle diameter and spray rate for nasal spray inoculation are met.
Design, Carbon Emission and Economic Analysis of a Cogeneration System for Garments Group of Industries
Authors: Jain Narayan Lal 
Published: November 2022

Abstract
Cogeneration is the most efficient and reliable energy supply technology which is being utilized worldwide in individual industries but not in a group of industries. This paper presents a study which has been carried out to check the feasibility and economic viability of Combined Heat and Power Plant (CHP) in a group of industries of garments zone. Heat and power forms of energy are required in existing system. Electricity is supplied by the state grid while heat in the form of steam is generated by the industries individually by diesel fuel fired boiler. Power (electricity) and heat (steam) required in the garments zone (Group of Industries) is 700 kWh/hr and 2100 kg/hr respectively. To fulfill this requirement, CHP and steam distribution system has been designed in this study. Internal rate of return (IRR) has been calculated for different scenario. An industrialist in existing system spends Rs. 3.4/ kg steam and Rs. 6.5/kWh power. By replacing the existing system by the proposed system, IRR is 12% if the industrialist spends the same amount for next ten years to pay for proposed system. If the industrialist paid the same amount with an annual increase of 10% per year (which is actually happening in India) on diesel and electricity for the next ten years, there would be an IRR of 15% even when the steam is provided by the proposed system at Rs. 2.9/ kg. CO2 emissions are reduced by 85 Tonnes per year as compared to the existing system. The proposed system, therefore, is not only economically viable but also save the environment.
Changes in target accuracy and rate of cerebral hemorrhage following STN-DBS for the treatment of Parkinson's disease
Authors: Zheng Suyue , Xu Mingyu , Xie Liyuan , Lu Mingwei , Huang Hui 
Published: November 2022

Abstract
Purpose
To prevent the steps of the deep brain stimulation (DBS) operation from affecting the accuracy of target due to cerebral hemorrhage, cerebrospinal fluid loss and brain tissue displacement caused by microelectrode.
Methods
In the course of DBS, the preoperative operation plan was determined by double-dose enhanced intracranial vascular imaging, and involved the use of a microelectrode without dura mater incision and other methods. Through systematic retrospective analysis, the data of 34 patients who underwent DBS surgery in the Second Affiliated Neurosurgery Department of Nanchang University from May 2016 to August 2018 were compared before and after using these methods.
Results
1. Among the 34 patients, there were 19 males (55.9%) and 15 females (44.1%). In terms of age, 26 patients were older than 60 years old, accounting for 76.5% of the patients, and 8 patients were under 60 years old, accounting for 23.5% of the patients. According to the postoperative intracranial gas accumulation, before use of the improved method, the intracranial gas accumulation was 10.719 ± 14.001 ml, and after use of the improved method, the intracranial gas accumulation was 9.241 ± 9.818 ml. Chi-square analysis comparing the data before and after the improved method revealed a significant difference between the two patient groups. Before use of the improved method, two patients (13.3%) had cerebral hemorrhage, and the bleeding rate after use of the improved method was 0.
Conclusion
After improving the operation procedure, the displacement of brain tissue and bleeding during the operation were significantly reduced, the risks from the operation were reduced, the curative effect of the operation was improved, and good quality of life was obtained.
Research on Digital Twin Modeling Method for Array Antenna Assembly Performance Analysis
Authors: Guo XuePeng , Liu LinYan , Huang JingHong , Wang HuiFen , Du XiaoDong , Shi JianCheng , Wang Yue 
Published: November 2022

Abstract
In order to solve the problems of timeliness and accuracy in the performance analysis of complex product assembly, taking the performance analysis of the array antenna assembly process as the research object, and taking the assembly process performance "measurable" as the requirement, a digital twin modeling method for the assembly performance analysis of the array antenna is proposed. This method integrates finite element, mesh model simplification and surrogate model. In order to realize the real-time prediction and rapid visualization of the assembly performance in the assembly process, a mesh simplification algorithm for finite element mesh model based on edge collapse is proposed and a Gaussian process regression surrogate model for product assembly performance is constructed in order to complete the construction of a digital twin model for assembly performance analysis. Finally, the proposed method is verified by an example of the assembly performance analysis of a typical array antenna. The result shows that the digital twin model proposed has high response speed and fidelity in the analysis of assembly performance, and has certain reference value and significance for the application of digital twin technology in the product assembly process.
Effects of spring wheat / faba bean mixtures on early crop development
Authors: Paul Madhuri Rani , Demie Dereje T , Seidel Sabine J , Döring Thomas Felix 
Published: November 2022

Abstract
Aims. Intercropping cereals and grain legumes has the potential to increase grain yield in comparison to the respective sole crops, but little is known about mixture effects at the early crop developmental stage. In cereal legume mixtures, the cereal is usually the dominating partner. We aimed to find out when domination starts, which factors may enhance early domination, and if there is a legacy effect of early domination on later growth stages. Methods. We set up field trials at a low input conventional site in 2020 and an organic site in 2020 and 2021. Treatments included all possible monocultures and 1:1 mixtures of twelve spring wheat (SW) entries, and two faba bean (FB) cultivars. All combinations were each sown in two sowing densities. To measure the effect of the mixture on early crop development, we counted crop emergence (plant m− 2) at ~ 23 days after sowing (DAS) and crop biomass dry matter at ~ 52 and ~ 82 DAS. Results. We found positive mixture effects on SW emergence at the conventional site and on SW and FB emergence at the organic site in 2021. SW was the dominating partner in all three environments; SW domination, without suppressing FB, was already noticed at emergence at the conventional site. There, a small head start of SW at emergence favored dominance at later growth stages and lead to superiority over FB in terms of plant biomass. Conclusions. Understanding early dominancy in intercropping may help in managing competition in mixture to enhance complementarity and improve total productivity.
Frustrated Magnetic Cycloidal Structure and Emergent Potts Nematicity in CaMn2P2
Authors: Islam Farhan , Trevisan Thais , Heitmann Thomas , Pakhira Santanu , Riberolles Simon , Sangeetha N. S. , Johnston David , Orth Peter , Vaknin David 
Published: November 2022

Abstract
We report neutron-diffraction results on single-crystal CaMn2P2 containing corrugated Mn honeycomb layers and determine its ground-state magnetic structure. The diffraction patterns consist of prominent (1/6, 1/6, L) reciprocal lattice unit (r.l.u.; L = integer) magnetic Bragg reflections, whose temperature-dependent intensities are consistent with a first-order antiferromagnetic phase transition at the Néel temperature TN = 70(1) K. Our analysis of the diffraction patterns reveals an in-plane 6 × 6 magnetic unit cell with ordered spins that in the principal-axis directions rotate by 60-degree steps between nearest neighbors on each sublattice that forms the honeycomb structure, consistent with the PAc magnetic space group. We find that a few other magnetic subgroup symmetries (PA2/c, PC2/m, PS¯1, PC2, PCm, PS1) of the paramagnetic P¯3m11′ crystal symmetry are consistent with the observed diffraction pattern. We relate our findings to frustrated J1-J2-J3 Heisenberg honeycomb antiferromagnets with single-ion anisotropy and the emergence of Potts nematicity.
Identification of a novel gene signature with DDR and EMT difunctionalities for predicting prognosis, immune activity, and drug response in breast cancer
Authors: Zhang Pan , Li Quan , Zhang Yuni , Wang Qianqian , Yan Junfang , Shen Aihua , Hu Burong 
Published: November 2022

Abstract
Breast cancer (BRCA) is one of the leading causes of female death worldwide. There are substantial evidences that DNA damage repair (DDR) and epithelial-mesenchymal transition (EMT) are critically related to cancer’s progression and treatment. Nevertheless, it has not been illuminated whether genes with the two functions play a more crucial role in the prognosis, immune and therapy response of BRCA patients. In this study, We identified the prognostic-related genes with both DDR and EMT functions and explored the immune infiltration and chemosensitivity between the different risk groups. The transcriptome expression data and clinical information of BRCA patients were extracted from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The univariate Cox regression analysis was used to screen the prognosis-related DEDGs. The least absolute shrinkage and selection operator (LASSO) Cox regression was performed to construct a prognosis model. Additionally, the multivariate COX regression was conducted to construct a prognostic nomogram. ESTIMATE algorithm, ssGSEA, and the IC50 of chemotherapeutic drugs were used to assess immune activity and responsiveness to chemotherapy. And the prognostic model of six DEDGs were validated in two independent GEO cohorts. The study found that the high-risk group’s patients had significantly lower survival rates than the low-risk group. The immune infiltration levels were lower in the high-risk group. Moreover, patients in the high-risk group were more insensitive to chemotherapeutic agents. This study provides a theoretical framework for BRCA’s treatment and contributing into individualized therapy strategies in BRCA.
Rigidity Control Mechanism by Turgor Pressure in Plants
Authors: Kanahama Tohya , Tsugawa Satoru , Sato Motohiro 
Published: November 2022

Abstract
The bodies of herbaceous plants are slender, thin, and soft. These plants support their bodies through the action of turgor pressure associated with their internal water stores. The purpose of this study was to apply the principles of structural mechanics to clarify the rigidity control mechanism by which turgor pressure of plants. We modeled a wild plant as a thin cylindrical cantilever that is acted on by its own weight and by internal tension generated through turgor pressure. We derived an equation describing the plant's consequent deflection, introducing a dimensionless parameter to express the decrease in deflection associated with the action of turgor pressure. We found that herbaceous plants cleverly support their own bodies by selecting particular mechanical and physical characteristics that would appear to be counter-productive from a superficial perspective.
Integrated analysis of ovarian cancer stem cells-associated lncRNA-miRNA-mRNA network via microarray and Gene Expression Omnibus database
Authors: Li Zheng , Li Ying , Bai Jinling , Wang Zhijiao , Zhou Yingying 
Published: November 2022

Abstract
Background
Competing endogenous RNAs (CeRNAs) play an important role in maintenance of ovarian cancer stem cells (OCSCs) characteristics.
Objective
To isolate a new OCSC line and construct a ceRNA network for maintenance of OCSCs characteristics by the cell line and GEO Database.
Methods
We isolated OCSCs from ovarian cancer cell line COC1 by chemotherapy drugs and growth factors. We identified the DEMs, DELs and DEGs between OCSCs and COC1 by microarray and combined them with representative microarray profiles in GEO Database. The ceRNA network was constructed by STRING and Cytoscape. QPCR and western blot were used to verify the expression of several genes that contained in the predicted network.
Results
According to the combination, 28 DEMs were identified at first, and 452 DEGs were obtained combining with the predicted targets of these miRNAs and our mRNA microarray results. Up-regulated DEGs of them were significantly enriched in ‘p53 signaling pathway’, ‘FoxO signaling pathway’, et al, whereas down-regulated DEGs were significantly enriched in ‘Adherens junction’ and ‘Hepatitis C’ pathway. Finally, we obtained OCSCs characteristics related ceRNA network with 10 DEMs, 21 DEGs, and 25 transcripts of 13 DELs. We verified that LINC00665-miR-146a-5p-NRP2 should be one of the pathways of the constructed ceRNA network.
Conclusion
The ceRNA network we constructed may be involved in the stem cell characteristics maintenance of OCSCs and provide directions for further OCSCs research in the future.
Analytical differentiation of the articulated-body algorithm: a geometric multilinear approach
Authors: Paz Alvaro , Arechavaleta Gustavo 
Published: November 2022

Abstract
This paper presents a new geometric algorithm to efficiently compute the analytical differentiation of the Articulated-body Algorithm (ABA) with respect to the state variables. Despite the fact that ABA solves the forward dynamics problem in linear-time for branched-multibody systems, its explicit differentiation is not straightforward, and computationally demanding tensor products and contractions appear. The proposed algorithm makes use of Lie algebraic and multilinear operations to recursively exploit the underlying sparsity of the linearization problem. As a result, the arithmetic complexity is dramatically reduced without affecting the analytical solution. Since the linealization of forward dynamics is of great importance in robot trajectory optimization, a differential dynamic programming solver is employed to demonstrate the performance of our algorithm with humanoid robot models such as N{\footnotesize AO} and HRP-2. In addition, we provide the computational cost with different robots using an optimized C++ implementation that can be found at https://github.com/garechav/geombd_crtp.git}{https://github.com/garechav/geombd\_crtp.
The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic
Authors: Morgenstern Christian , Laydon Daniel , Whittaker Charles , Mishra Swapnil , Haw David , Bhatt Samir , Ferguson Neil 
Published: November 2022

Abstract
The COVID-19 pandemic has caused over 6.4 million registered deaths to date, and has had a profound impact on economic activity. Here, we study the interaction of transmission, mortality, and the economy during the SARS-CoV-2 pandemic from January 2020 to December 2022 across 25 European countries. We adopt a Bayesian vector autoregressive model with both fixed and random effects. We find that increases in disease transmission intensity decreases Gross domestic product (GDP) and increases daily excess deaths, with a longer lasting impact on excess deaths in comparison to GDP, which recovers more rapidly. Broadly, our results reinforce the intuitive phenomenon that significant economic activity arises from diverse person-to-person interactions. We report on the effectiveness of non-pharmaceutical interventions (NPIs) on transmission intensity, excess deaths and changes in GDP, and resulting implications for policy makers. Our results highlight a complex cost-benefit trade off from individual NPIs. For example, banning international travel increases GDP however reduces excess deaths. We consider country random effects and their associations with excess changes in GDP and excess deaths. For example, more developed countries in Europe typically had more cautious approaches to the COVID-19 pandemic, prioritising healthcare and excess deaths over economic performance. Long term economic impairments are not fully captured by our model, as well as long term disease effects (Long Covid). Our results highlight that the impact of disease on a country is complex and multifaceted, and simple heuristic conclusions to extract the best outcome from the economy and disease burden are challenging.
Investigation and Analysis of Absorption in One-Dimensional Dielectric-Metal Photonic Crystal Absorbers
Authors: Alanazi Tarek I. 
Published: November 2022

Abstract
This paper investigates the spectral response of a one-dimensional dielectric-metal photonic crystal absorber. The reflection and absorption spectra are obtained by applying the transfer matrix method (TMM) in the frequency range of 0.1 THz to 10 THz. The effects of influencing factors like the incident angle, thickness and material of the metal and dielectric layers on the absorption spectrum of the absorber are explored. Finally, a high-efficient absorber with a comprehensive free spectral range (FSR) of 1.46 THz and fitness of 2.496 is proposed. The numerical calculations show that high absorption of 99.37% and a high reflection of 3.23% are achievable for the absorber. Therefore, the absorber can be used as a perfect absorber and a perfect reflector over a wide range of frequencies.