bluuebunny/crossref_metadata_2025 huggingface dataset:
On-chip scalable highly pure and indistinguishable single-photon sources in ordered arrays: Path to quantum optical circuits
Authors: Zhang Jiefei , Chattaraj Swarnabha , Huang Qi , Jordao Lucas , Lu Siyuan , Madhukar Anupam
Published: September 2022

Realization of quantum optical circuits is at the heart of quantum photonic information processing. A long-standing obstacle, however, has been the absence of a suitable platform of single photon sources (SPSs). Such SPSs need to be in spatially ordered arrays and produce, on-demand, highly pure, and indistinguishable single photons with sufficiently uniform emission characteristics to enable controlled interference between photons from distinct sources underpinning functional quantum optical networks. We report on such a platform of SPSs based on a unique class of epitaxial quantum dots dubbed mesa-top single quantum dot. Under resonant excitation, the spatially ordered SPSs (without Purcell enhancement) show single photon purity of >99% [
g
(2)
(0) ~ 0.015], high two-photon Hong-Ou-Mandel interference visibilities of 0.82 ± 0.03 (at 11.5 kelvin, without cavity), and spectral nonuniformity of <3 nanometers, within established locally tunable technology. Our platform of SPSs paves the path to creating on-chip scalable quantum photonic networks for communication, computation, simulation, sensing and imaging.
Tailoring electronic-ionic local environment for solid-state Li-O
2
battery by engineering crystal structure
Authors: Sun Xue , Song Yajie , Liu Qingsong , Zhang Xueyan , An Hanwen , Sun Nan , Shi Yifan , Fu Chuankai , Huo Hua , Xie Ying , Tong Yujin , Kong Fanpeng , Wang Jiajun
Published: September 2022

Solid-state Li-O
2
batteries (SSLOBs) have attracted considerable attention because of their high energy density and superior safety. However, their sluggish kinetics have severely impeded their practical application. Despite efforts to design highly efficient catalysts, efficient oxygen reaction evolution at gas-solid interfaces and fast transport pathways in solid-state electrodes remain challenging. Here, we develop a dual electronic-ionic microenvironment to substantially enhance oxygen electrolysis in solid-state batteries. By designing a lithium-decorative catalyst with an engineering crystal structure, the coordinatively unsaturated sites and high concentration of defects alleviate the limitations of electronic-ionic transport in solid interfaces and create a balanced gas-solid microenvironment for solid-state oxygen electrolysis. This strategy facilitates oxygen reduction reaction, mediates the transport of reaction species, and promotes the decomposition of the discharge products, contributing to a high specific capacity with a stable cycling life. Our work provides previously unknown insight into structure-property relationships in solid-state electrolysis for SSLOBs.
Embryonic and neonatal waves generate distinct populations of hepatic ILC1s
Authors: Sparano Colin , Solís-Sayago Darío , Vijaykumar Anjali , Rickenbach Chiara , Vermeer Marijne , Ingelfinger Florian , Litscher Gioana , Fonseca André , Mussak Caroline , Mayoux Maud , Friedrich Christin , Nombela-Arrieta César , Gasteiger Georg , Becher Burkhard , Tugues Sonia
Published: September 2022

Group 1 innate lymphoid cells (ILCs) comprising circulating natural killer (cNK) cells and tissue-resident ILC1s are critical for host defense against pathogens and tumors. Despite a growing understanding of their role in homeostasis and disease, the ontogeny of group 1 ILCs remains largely unknown. Here, we used fate mapping and single-cell transcriptomics to comprehensively investigate the origin and turnover of murine group 1 ILCs. Whereas cNK cells are continuously replaced throughout life, we uncovered tissue-dependent development and turnover of ILC1s. A first wave of ILC1s emerges during embryogenesis in the liver and transiently colonizes fetal tissues. After birth, a second wave quickly replaces ILC1s in most tissues apart from the liver, where they layer with embryonic ILC1s, persist until adulthood, and undergo a specific developmental program. Whereas embryonically derived ILC1s give rise to a cytotoxic subset, the neonatal wave establishes the full spectrum of ILC1s. Our findings uncover key ontogenic features of murine group 1 ILCs and their association with cellular identities and functions.
Higher serum triglyceride can predict recurrent coronary revascularization events in patients undergoing percutaneous coronary intervention with baseline LDL-C <55 mg/dL
Authors: Fan Xiaojuan , Wang Xiaoke , She Jianqing , Niu Xiaoqian , Luo Yongbai , Xi Wen , Zheng Tao , Wu Yue
Published: September 2022

Patients with low baseline low-density lipoprotein cholesterol (LDL-C) but experiencing recurrent coronary revascularization events have been rarely investigated. In this retrospective cohort study, we enrolled patients undergoing percutaneous coronary intervention (PCI) with baseline LDL-C <55 mg/dL at the First Affiliated Hospital of Xi’an Jiaotong University between January and December 2017. Subsequent ischemia-driven coronary revascularization events and all-cause death were documented during a 4-year follow-up. Cox analysis was used to evaluate the association between baseline clinical characteristics and long-term events. As a result, among 388 patients (mean age 63 years; 79.1% male) enrolled, 32 patients underwent recurrent revascularization events, and 38 patients occurred all-cause death. After adjustment for age, diabetes mellitus, multi-vessel disease, and lipoprotein(a), multivariate Cox analysis showed that baseline serum triglyceride (TG) (HR 1.691, 95% CI 1.178 to 2.428, p=0.004) was an independent predictor of recurrent coronary revascularization events. Kaplan-Meier analysis revealed that a higher TG level (≥1.17 mmol/L, determined by receiver operating characteristic curve) was associated with increased risk of recurrent revascularization events than lower TG level (<1.17 mmol/L) (p=0.021). Female (HR 2.647, 95% CI 1.350 to 5.190, p =0.005) and previous atrial fibrillation (HR 3.163, 95% CI 1.403 to 7.132, p=0.006) were associated with increased risk of all-cause death. In conclusion, for patients undergoing PCI with baseline LDL-C <55 mg/dL, higher baseline TG can predict recurrent coronary revascularization events.
Interplay between fat, muscle, bone mass, and oteophytes and risk for tophaceous gout
Authors: Hsu Chieh-Min , Hsu Chieh-Cheng , Wu Re-Wen , Huang Chung-Cheng , Chen Ying-Chou
Published: September 2022

Tophaceous gout is a common arthritis caused by the deposition of urate crystals and is related to limited joint function. Although there are reports that uric acid (UA) is associated with bone mineral density (BMD), little is known about the relationship between UA, osteophytes, and muscle. This cross-sectional case–control study was performed in patients with tophaceous gout. The control group included patients without gout. All subjects underwent BMD and body composition analyses. Age, sex, alcohol consumption, smoking, and radiography of both knees were recorded. Adjusted ORs for tophaceous gout were calculated using the logistical regression models. A total of 150 male patients were enrolled, including 65 individuals with tophaceous gout and 85 without gout. The mean age of the patients with tophaceous gout was 59.94±12.40 years, while that of individuals without gout was 61.29±11.57 years (p=0.492). Patients with tophaceous gout have a higher mean body mass index, fat mass, appendicular lean mass, BMD, and osteophytes. Multiple logistic regression analysis revealed that fat mass (OR 2.01, 95% CI 1.27 to 3.18), appendicular lean mass (OR 4.27, 95% CI 1.86 to 9.83), and osteophytes (OR 5.88, 95% CI 1.72 to 20.13) were significantly associated with tophaceous gout. In the current study, higher fat mass, high muscle mass, and osteophyte formation were found to increase the risk of tophaceous gout, as the association is the most than can be inferred from a cross-sectional study. Therefore, reducing body fat and weight management may prevent tophaceous gout.
Donalda hard red spring wheat
Authors: Spaner D. , Iqbal M. , Strenzke K. , Ciechanowska I. , Beres B.
Published: September 2022

Donalda, a hard red spring wheat ( Triticum aestivum L.), was developed at the University of Alberta, Edmonton, Canada. It is an awned, hollow-stemmed cultivar with high yield potential, short in stature with good lodging tolerance. During the 3 years of testing in the Western Bread Wheat Registration tests during 2018–2020, Donalda yielded 4.3% higher than Carberry and displayed similar physiological maturity. Additional features of Donalda that paralleled the performance of Carberry included plant height, tolerance to lodging, and quality parameters related to test weight, grain weight, and grain protein content. Overall, during the 3 years of testing, Donalda was rated “resistant” to the prevalent races of leaf, stem, and stripe rusts, “moderately susceptible” to common bunt and “intermediate” to Fusarium head blight. Three years of the end-use quality evaluation indicated that Donalda met the quality guidelines for the Canada Western Red Spring wheat market class.
Potential for a precision measurement of solar pp neutrinos in the Serappis experiment
Authors: Bieger Lukas , Birkenfeld Thilo , Blum David , Depnering Wilfried , Enqvist Timo , Enzmann Heike , Gao Feng , Genster Christoph , Göttel Alexandre , Grewing Christian , Gromov Maxim , Hackspacher Paul , Hagner Caren , Heinz Tobias , Kampmann Philipp , Karagounis Michael , Kruth Andre , Kuusiniemi Pasi , Lachenmaier Tobias , Liebau Daniel , Liu Runxuan , Loo Kai , Ludhova Livia , Meyhöfer David , Müller Axel , Muralidharan Pavithra , Oberauer Lothar , Othegraven Rainer , Parkalian Nina , Pei Yatian , Pilarczyk Oliver , Rebber Henning , Robens Markus , Roth Christian , Sawatzki Julia , Schweizer Konstantin , Settanta Giulio , Slupecki Maciej , Smirnov Oleg , Stahl Achim , Steiger Hans , Steinmann Jochen , Sterr Tobias , Stock Matthias Raphael , Tang Jian , Theisen Eric , Tietzsch Alexander , Trzaska Wladyslaw , van den Boom Johannes , van Waasen Stefan , Vollbrecht Cornelius , Wiebusch Christopher , Wonsak Bjoern , Wurm Michael , Wysotzki Christian , Xu Yu , Yegin Ugur , Zambanini Andre , Züfle Jan
Published: September 2022

The Serappis (SEarch for RAre PP-neutrinos In Scintillator) project aims at a precision measurement of the flux of solar pp neutrinos on the few-percent level. Such a measurement will be a relevant contribution to the study of solar neutrino oscillation parameters and a sensitive test of the equilibrium between solar energy output in neutrinos and electromagnetic radiation (solar luminosity constraint). The concept of Serappis relies on a small organic liquid scintillator detector ($$\sim $$
∼
20 m$$^3$$

3

) with excellent energy resolution ($$\sim $$
∼
2.5% at 1 MeV), low internal background and sufficient shielding from surrounding radioactivity. This can be achieved by a minor upgrade of the OSIRIS facility at the site of the JUNO neutrino experiment in southern China. To go substantially beyond current accuracy levels for the pp flux, an organic scintillator with ultra-low $$ {^{14}\hbox {C}}$$

14

C

levels (below $$10^{-18}$$

10

-
18

) is required. The existing OSIRIS detector and JUNO infrastructure will be instrumental in identifying suitable scintillator materials, offering a unique chance for a low-budget high-precision measurement of a fundamental property of our Sun that will be otherwise hard to access.
Reliability and Sensitivity Analyses of an Unreliable Retrial Machine Repair System with Warm Standby Switching Failure
Authors: Wang Kuo-Hsiung , Yen Tseng-Chang , Wu Chia Huang
Published: September 2022

In this study, an unreliable machine repair system with warm standby switching failure and retrial behavior is examined. An application of the Ceph storage cluster system is described to illustrate the applicability of the proposed model and establish its results. To analyze the reliability of the application system, two-state-transition rate diagrams and their associated differential-difference equations are provided. Laplace transforms and the matrix-analytical method are employed to obtain the steady-state probabilities. Explicit expressions for the reliability function, mean time to failure, and steady-state availability of the examined system are then derived. With these system performance measures, we perform a sensitivity analysis of the system parameters to identify critical variables. Furthermore, the numerical results for various parameter settings are tabulated and presented graphically. Finally, managerial insights and constructive results are provided as a guide for managers in determining an effective strategy for performance enhancement.
PERILUNATE INSTABILITY AND DISLOCATION: A COMMONLY MISSED DIAGNOSIS
Authors: Stokey Phillip J. , Mitchell Steven C. , Mooney Megan L. , Pasquinelly Adam C. , Sawyer Ethan R. , Ebraheim Nabil A.
Published: September 2022

Perilunate dislocations and perilunate fracture-dislocations are high-energy wrist injuries, characterized by a spectrum of bony and ligamentous damage. Clinical presentation often includes decreased range of motion, swelling and pain, and a palpable wrist deformity, while radiographic evaluation of the wrist may reveal abnormal radiocarpal and intercarpal collinearity and bony insult. This particular trauma may be difficult to detect due to nonspecific clinic presentation and subtle imaging findings, and can be missed in up to 25% of initial evaluations. Prompt recognition is essential for optimal patient outcomes, as the majority of patients are young adults and thus duration of disability is significant.
Fe–In2O3 Induced Catalytic Degrading Congo Red under Ultrasonic Irradiation
Authors: Zhang Gehong , Yan Zhiyang , Zhang Jie , Sun Jian , Ma Donghua , Zhao Pingge
Published: September 2022

In this work, the azo dye Congo red (CR) was degraded by a Fe–In2O3 catalyst under the irradiation of ultrasonic. The Fe–In2O3 catalyst was prepared by a fast and moderate solvothermal method followed by the characterization of X-ray diffraction and scanning electron microscope. The effects of operating parameters, such as catalyst composition, catalyst dosage, initial dye concentration, ultrasonic power and ultrasonic frequency on degradation process were discussed. In the experiment, the optimum CR removal of 97.75% in 60[Formula: see text]min was achieved under the conditions, i.e., catalyst dosage of 0.06[Formula: see text][Formula: see text], CR concentration of 10[Formula: see text][Formula: see text], ultrasonic frequency of 45[Formula: see text]kHz and ultrasonic power of 100[Formula: see text]W. Besides, the CR degradation behavior by the catalyst with ultrasonic is well in accordance with the first-order kinetic model.
Preparation of CNFs/RGO/CuS Composite Materials with Porous Structure and Excellent Microwave Absorption Performance
Authors: Li Keting , Xu Lihui , Pan Hong , Shen Yong , Wang Liming , Li Tianyang , Li Jun
Published: September 2022

In this study, green cellulose nanofibers-based composites were successfully prepared for efficient wide-band electromagnetic absorber to realize functional and high-value diversified utilization of cellulose nanofibers. Specifically, by the introduction of reduced graphene oxide (RGO) and flower-like copper sulfide (CuS) into CNFs used as raw material, CNFs/RGO/CuS porous composite microwave absorber were obtained. The CNFs/RGO/CuS porous composite exhibited excellent microwave absorption performance due to its unique three-dimensional porous flower-like structure and heterogeneous interface, which provided excellent impedance matching and attenuation capabilities. The fabricated CNFs/RGO/CuS composite exhibited a minimum reflection loss (RLmin) of [Formula: see text]49.71[Formula: see text]dB at 11.52 GHz and a maximum absorption bandwidth of 5.30 GHz (from 10.40 GHz to 15.70 GHz) at only 2.50[Formula: see text]mm. In addition, the scanning electron microscope (SEM) results showed that the CNFs/RGO/CuS composite had a porous microstructure. And the Brunauer–Emmett–Teller (BET) specific surface area of the CNFs/RGO/CuS composite was 326.46[Formula: see text]m2/g. Potential absorption mechanisms were proposed considering the interfacial polarization, impedance matching, and dielectric losses caused by the synergistic effects among CNFs, RGO, and CuS. This work proposed a new strategy to biomass-based functional materials, and used the natural polymer CNFs, compounded with reduced graphene oxide and copper sulfide, to achieve efficient microwave absorbing materials.
Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features
Authors: Huang Yulu , Hou Anli , Wang Jing , Yao Yue , Miao Wenbin , Tian Xuewu , Yu Jiawen , Li Cheng , Ma Hui , Fan Yujuan
Published: September 2022

Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world, and serous ovarian cancer (SOC) is of particular concern for being the leading cause of ovarian cancer death. Due to its clinical and biological complexities, ovarian cancer is still considered one of the most difficult tumors to diagnose and manage. In this study, three datasets were assembled, including 30 cases of serous cystadenoma (SCA), 30 cases of serous borderline tumor (SBT), and 45 cases of serous adenocarcinoma (SAC). Mueller matrix microscopy is used to obtain the polarimetry basis parameters (PBPs) of each case, combined with a machine learning (ML) model to derive the polarimetry feature parameters (PFPs) for distinguishing serous ovarian tumor (SOT). The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed. The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups (SCA versus SAC, SCA versus SBT, and SBT versus SAC) were 0.91, 0.92, and 0.8, respectively. The accuracy of PFP for identifying triadic groups (SCA versus SBT versus SAC) was 0.75. Correlation analysis between PBPs and the clinicopathological features of SOC was performed. There were correlations between some PBPs ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], rqcross, [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) and clinicopathological features, including the International Federation of Gynecology and Obstetrics (FIGO) stage, pathological grading, preoperative ascites, malignant ascites, and peritoneal implantation. The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs. These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.
In-situself-polymerization of dopamine on piezo-catalysis material enhances dye degradation
Authors: Wang Jiayi , Zhou Junyu , Xia Tian , Hao Weili , Zhang Yimeng , Gou Xue
Published: September 2022

Spin-coated poly (vinylidene fluoride) (PVDF) membrane and electrospun PVDF nanofibers were fabricated and surface modified with in-situ self-polymerization of dopamine or surface deposition of polydopamine. The morphology, composition and phase, hydrophilicity and dye degradation effects of these composite were quantitatively investigated. The results indicated that surface modified PVDF membrane and nanofibers exhibited excellent dye degradation capacity. Specifically, in-situ self-polymerization of dopamine could induce homogeneous distribution of polydopamine on the piezo-catalysis materials, providing favorable spatial conditions for the adsorption of dye molecules and enhancing dye degradation.
On matrix sequences represented by negative indices Pell and Pell–Lucas number with the decoding of Lucas blocking error correcting codes
Authors: Khompurngson Kannika , Sompong Supunnee
Published: September 2022

This paper focuses on the matrix sequences that represent negative indices Pell and Pell–Lucas number. It will specifically provide the important relationships between negative indices Pell and Pell–Lucas number and Pell and Pell–Lucas matrix sequences. The research of new error correcting codes has received a lot of attention in recent years, specifically due to its potential use in quantum-resistant cryptosystems. These matrices are then applied in cryptology and have a great opportunity to report some cases that might be a mistake between the sender and the receiver by using Lucas blocking algorithm.
A MODEL INTERCOMPARISON OF THE WELFARE EFFECTS OF REGIONAL COALITIONS FOR AMBITIOUS CLIMATE MITIGATION TARGETS
Authors: AKIN-OLÇUM GÖKÇE , GHOSH MADANMOHAN , GILMORE ELISABETH , JOHNSTON PETER , KHABBAZAN MOHAMMAD M. , LUBOWSKI RUBEN , MCCALLISTER MARGARET , MACALUSO NICK , PETERSON SONJA , WINKLER MALTE , DUAN MAOSHENG , LI MENGYU , PARRADO RAMIRO , RAUSCH SEBASTIAN
Published: September 2022

This paper presents the overall and distributional welfare effects of alternative multi-regional emissions trading coalitions relative to unilateral action. It focusses on meeting Paris Agreement pledges and more emissions reduction targets consistent with 2∘C and 1.5∘C temperature pathways in 2030. The results from seven computable general equilibrium (CGE) models are compared. Across all models, welfare gains are highest with a global market and increase with the stringency of targets. All regional coalitions also show overall welfare gains, although lower gains than the global market. The models show more variability in the gains by a participant. Depending on the model, participants may benefit more from some regional arrangements than from a global market or face modest losses compared to the domestic reductions alone, due to interactions between carbon targets and fossil fuel markets. The scenario with a joint China–European Union emissions trading system in all sectors is consistently favorable for participants and provides the highest economic gains per unit of emissions abated.
New Robust Backstepping Attitude Control Approach Applied to Quanser 3 DOF Hover Quadrotor in the Case of Actuators Faults
Authors: benghezal Amar , Nemra Abdelkrim , Bouaziz Nour el Islem , Tadjine Mohamed
Published: September 2022

In this paper, a novel robust backstepping-based fault-tolerant control is designed, implemented and validated experimentally on a quadrotor unmanned aerial vehicle testbed under actuator fault conditions for tracking control. Backstepping is known as a robust method to maintain system performance and keep it insensitive to disturbances. The proposed nonlinear controller is mainly based on the advanced robust backstepping method to solve the system uncertainties caused by disturbances and actuator faults, which appear in the motor part of the system and are compensated without diagnostics or fault identification. The various parameters of the proposed approach are optimized using the particle swarm optimization (PSO) method. Owing to the minimized control effort to accommodate uncertainties compared to the conventional backstepping, the proposed approach can still maintain the system performance when severer faults occur. The proposed approach is validated, first, in a simulation using the nonlinear model of the quadrotor, then experimentally, using the Quanser 3DOF Hover quadrotor. Both theoretical and experimental analyses have demonstrated that the effectiveness of the proposed improved backstepping fault-tolerant control strategies faces significant loss of actuator efficiency.
Optimization of Acoustic Channels to Minimize Scattered Pressure Fields
Authors: Treweek Benjamin C. , Sanders Clay M. , Aquino Wilkins , Walsh Timothy F.
Published: September 2022

Acoustic and elastic metamaterials have shown potential for many different applications in wave manipulation and structural isolation. Minimization of a scattered wave field has been identified as an important use for such materials, and a wide variety of designs have been proposed for this purpose. Several of these designs face practical challenges (e.g. pentamode designs, which are difficult to manufacture), and many others involve numerous tunable parameters and a large design parameter space (e.g. distributions of resonators), making global search-based optimization less tractable and raising the need for gradient-based methods. In this work, gradient-based optimization governed by partial differential equations (PDEs) is used to optimize acoustic channels in a coiled-space metastructure layer surrounding a rigid acoustic scatterer. The optimization technique is chosen to more feasibly search the design parameter space, and the acoustic channel design is chosen to exploit sound speed optimization as a proxy for channel length optimization to give practically achievable structures. Results are presented for both a single plane wave direction and multiple plane wave directions, as well as for both a single frequency and multiple frequencies. The equivalence of sound speed optimization and channel length optimization is demonstrated for a feasible design minimizing the scattered pressure field. Designs with various numbers of optimized channels are also considered.
Mainstream Media Agenda Setting in Disaster Events
Authors: Bai Sheng
Published: September 2022

Disaster reporting is one part of news reporting because of the particularity of the disaster. It also distinguishes disaster reports from other reports. This paper examines the characteristics of disaster reporting, starting with why disaster reporting is necessary and is supported by agenda-setting theory. It discusses the principles and directions that the mainstream media should pay attention to at each different reporting stage in disaster reporting, as well as the importance of mainstream media’s agenda-setting in disaster events.
AECT: Accurate Energy Efficient Contact Tracing Using Smart Phones for Infectious Disease Detection
Authors: Ranjha Ali , Nguyen Tu N. , Javed Muhammad Awais
Published: September 2022

Contact tracing is an important technique to reduce the impact of infectious diseases in smart cities. Smart phones equipped proximity sensors can be used to enable contact tracing, however accuracy of detection and energy efficiency is a key challenge. To address this challenge, we propose an accurate energy-efficient contact tracing (AECT) algorithm that detects which users came in contact with an infected user by performing computations at the server-side. Additionally, the AECT algorithm uses the wireless scan method, which calculates proximity based on pseudo-range multilateration and makes relevant comparisons with the matching score (MS) method based on the computation of received signal strength indication (RSSI) metric. Simulation results demonstrate that the scan method (AECT) is highly accurate and outperforms the scan method, highlighting that real distance is a better metric in contact tracing than a proxy for distance such as RSSI. Lastly, simulation results also demonstrate that the scan method (AECT) is 16 times more energy-efficient than the baseline 1 Hz frequency method, and we recommend it as a method of choice for performing contact tracing against infectious diseases such as COVID-19.
Sustainable Cooling in a Warming World: Technologies, Cultures, and Circularity
Authors: Khosla Radhika , Renaldi Renaldi , Mazzone Antonella , McElroy Caitlin , Palafox-Alcantar Giovani
Published: September 2022

Cooling is fundamental to quality of life in a warming world, but its growth trajectory is leading to a substantial increase in energy use and greenhouse gas emissions. The world is currently locked into vapor-compression air conditioning as the aspirational means of staying cool, yet billions of people cannot access or afford this technology. Non–vapor compression technologies exist but have low Technological Readiness Levels. Important alternatives are passive cooling measures that reduce mechanical cooling requirements and often have long histories of local use. Equally, behavioral and cultural approaches to cooling play a vital role. Although policies for a circular economy for cooling, such as production and waste, recovery of refrigerants, and disposal of appliances, are in development, more efforts are needed across the cooling life cycle. This article discusses the knowledge base for sustainable cooling in the built environment and its significant, interconnected, and coordinated technical, social, economic, and policy approaches.
The 3D-Evo Space: Evolution of Gene Expression and Alternative Splicing Regulation
Authors: Mantica Federica , Irimia Manuel
Published: September 2022

Animal species present relatively high levels of gene conservation, and yet they display a great variety of cell type and tissue phenotypes. These diverse phenotypes are mainly specified through differential gene usage, which relies on several mechanisms. Two of the most relevant mechanisms are regulated gene transcription, usually referred to as gene expression (rGE), and regulated alternative splicing (rAS). Several works have addressed how either rGE or rAS contributes to phenotypic diversity throughout evolution, but a back-to-back comparison between the two molecular mechanisms, specifically highlighting both their common regulatory principles and unique properties, is still missing. In this review, we propose an innovative framework for the unified comparison between rGE and rAS from different perspectives: the three-dimensional (3D)-evo space. We use the 3D-evo space to comprehensively ( a) review the molecular basis of rGE and rAS (i.e., the molecular axis), ( b) depict the tissue-specific phenotypes they contribute to (i.e., the tissue axis), and ( c) describe the determinants that drive the evolution of rGE and rAS programs (i.e., the evolution axis). Finally, we unify the perspectives emerging from the three axes by discussing general trends and specific examples of rGE and rAS tissue program evolution.
The relationships between age, sex, and cerebrovascular reactivity to hypercapnia using traditional and kinetic-based analyses in healthy adults
Authors: Koep Jodie L. , Bond Bert , Barker Alan R. , Ruediger Stefanie L. , Pizzey Faith K. , Coombes Jeff S. , Bailey Tom G.
Published: September 2022

We observed similar MCA CVR and ICA reactivity in males and females. However, kinetic responses of the MCA to hypercapnia suggest that advancing age slows down the rate at which MCA velocity increases in response to hypercapnia. These data indicate distinct regulatory differences, and an impaired vasomotor control of the cerebrovasculature with advancing age, not detected by traditional methods.
Therapeutic Effects of the Proximal Femoral Nail for the Treatment of Unstable Intertrochanteric Fractures
Authors: Cai Yuwei , Zhu Wenjun , Wang Nan , Yu Zhongxiang , Chen Yu , Xu Shengming , Feng Juntao
Published: September 2022

Objective. The aim of this study was to analyze the clinical effect of the proximal femoral nail on elderly patients with unstable intertrochanteric fracture and the effect of the proximal femoral nail on serum levels of matrix metalloproteinases (MMPs) and osteoprotegerin (OPG). Methods. The elderly patients with unstable intertrochanteric fracture of the femur admitted to our hospital from January 2017 to January 2021 were studied. 100 patients were randomly divided into two groups: the control group (n = 50) and the observation group (n = 50). The patients in the control group were treated with a proximal femoral locking compression plate. The patients in the observation group were treated with the proximal femoral antirotation intramedullary nail. The clinical therapeutic effects of the two groups and the changes in serum MMPs and OPG levels before and after treatment were analyzed. Results. Compared with the control group, the operation time, postoperative landing time, and fracture healing time of the observation group were significantly shortened, and intraoperative blood loss was significantly reduced (

P

 < 0.05). Compared with the control group, the total effective rate of patients in the observation group was significantly higher (

P

 < 0.05). After treatment, the levels of CRP, IL1β, IL2, MMP-2, MMP-6, TIMP-1, and RANKL decreased significantly in both groups (

P

 < 0.05), while the levels of OPG increased significantly (

P

 < 0.05). Compared with the control group, the changes in the above indexes were more obvious in the observation group (

P

 < 0.05). Conclusion. The proximal femoral antirotation intramedullary nail has a better therapeutic effect on elderly patients with unstable intertrochanteric fracture, and the level of MMPs and OPG may be related to the treatment process.
Immune Infiltration-Related ceRNA Network Revealing Potential Biomarkers for Prognosis of Head and Neck Squamous Cell Carcinoma
Authors: Zhao Shuai , Peng Mengle , Wang Zhongquan , Cao Jingjing , Zhang Xinyu , Yu Ruijing , Huang Tao , Lian Wenping
Published: September 2022

Background. Head and neck squamous cell carcinoma (HNSCC) is a frequently lethal malignancy, and the mortality is considerably high. The tumor microenvironment (TME) has been identified as a critical participation in cancer development, treatment, and prognosis. However, competing endogenous RNA (ceRNA) networks grouping with immune/stromal scores of HNSCC patients need to be further illustrated. Therefore, our study aimed to provide clues for searching promising prognostic markers of TME in HNSCC. Materials and Methods. ESTIMATE algorithm was used to calculate immune scores and stromal scores of the enrolled HNSCC patients. Differentially expressed genes (DEGs), lncRNAs (DELs), and miRNAs (DEMs) were identified by comparing the expression difference between high and low immune/stromal scores. Then, a ceRNA network and protein-protein interaction (PPI) network were constructed for selecting hub regulators. In addition, survival analysis was performed to access the association between immune scores, stromal scores, and differentially expressed RNAs in the ceRNA network and the overall survival (OS) of HNSCC patients. Then, the GSE65858 datasets from Gene Expression Omnibus (GEO) database was used for verification. At last, the difference between the clinical characteristics and immune cell infiltration in different expression groups of IL10RA, PRF1, and IL2RA was analyzed. Results. Survival analysis showed a better OS in the high immune score group, and then we constructed a ceRNA network composed of 97 DEGs, 79 DELs and 22 DEMs. Within the ceRNA network, FOXP3, IL10RA, STAT5A, PRF1, IL2RA, miR-148a-3p, miR-3065-3p, and lncRNAs, including CXCR2P1, HNRNPA1P21, CTA-384D8.36, and IGHV1OR15-2, were closely correlated with the OS of HNSCC patients. Especially, using the data from GSE65858, we successfully verified that IL10RA, PRF1, and IL2RA were not only significantly upregulated in patients high immune scores, but also their high expressions were associated with longer survival time. In addition, stratified analysis showed that PRF1 and IL2RA might be involved in the mechanism of tumor progress. Conclusion. In conclusion, we constructed a ceRNA network related to the TME of HNSCC, which provides candidates for therapeutic intervention and prognosis evaluation.
Library Management System Based on Data Mining and Clustering Algorithm
Authors: Pang Lu
Published: September 2022

In order to solve the problem of building system services between readers and libraries, this paper proposes a library management system based on data mining and clustering algorithm. The library management model is built based on data mining technology and clustering algorithm, and the hybrid clustering algorithm in the data mining platform Weka is used for library data mining. The experimental results show that with the same amount of data, the hybrid clustering algorithm takes 5.5 seconds to process information from 0 to 300, which is at least 1 second faster than the other two algorithms. Conclusion. The algorithm is not only a means of library system automation management, but also an effective means to realize library information modernization.
Achieving Lumbar Epidural Block Competency in Inexperienced Trainees after a Structured Epidural Teaching Model: A Randomized, Single Blind, Prospective Comparison of CUSUM Learning Curves
Authors: Scorzoni Marco , Gonnella Gian Luigi , Capogna Emanuele , Velardo Matteo , Giuri Pietro Paolo , Ciancia Mariano , Capogna Giorgio , Draisci Gaetano
Published: September 2022

Aim. The aim of this randomized, prospective study was to investigate whether the use of the structured epidural teaching model (SETM) may affect the learning curve for lumbar epidural block in novice trainees when compared with a standard teaching module. Introduction. There is a paucity of literature regarding the efficacy of teaching epidural blocks and comparisons between the different educational approaches. Method. Forty-four PGY3 anesthesia trainees were randomized to receive (study group) or to not receive (control group) the SDM (structured didactic model) before the beginning of their 6 months clinical practice rotation in labor and delivery suites. A CUSUM learning curve was built for every trainee. The scores were assigned by the staff instructor, who was unaware of the group to which the trainee belonged. Results. The number of subjects who achieved an improvement in performance was 8 trainees from the control group and 14 from the study group. The probability of achieving an improvement was higher (

p
<
05

) in the study group than in the control group, with an aOR of 3.25 (CI: 1.01; 12.1). The proportion of subjects in the study group who completed the epidural without help was 1.21 (1.05–1.41) times the proportion of subjects who completed the epidural without help in the control group. The probability of completing the epidural block without any assistance was 21% higher in the study group than in the control group (

p
<
05

). Conclusion. We have demonstrated that the use of the structured epidural teaching model (SETM) may improve the learning curve (CUSUM) for lumbar epidural block in novice, entirely inexperienced, anesthesia trainees.
[Retracted] Sustainable Development of Green Reverse Logistics Based on Blockchain
Authors: Wu Zhiqi , Zhao Zhiqi
Published: September 2022

With the depletion of global resources and the deterioration of the ecological environment, the implementation of green reverse logistics management has become a necessary means. Green reverse logistics is a new type of reverse logistics that aims to improve resource utilization and protect the ecological environment. While promoting sustainable development, “green reverse logistics” also has certain social and economic significance. This paper compared the green reverse logistics system based on blockchain with the current green reverse logistics system. Taking drug recycling as an example, this paper mainly analyzed the waste rate, utilization rate, and enterprise income. The comparison results showed that the efficiency of drug recycling based on blockchain has increased by 20.1% compared with the current stage, and the waste rate has decreased by 16%. The utilization rate has increased by 14%, and corporate income has also increased by 19.5%. It is greatly indicated that green reverse logistics based on blockchain is of great significance to enterprise income and environmental protection, which also produces great social benefits.
A New Lattice-Based Blind Ring Signature for Completely Anonymous Blockchain Transaction Systems
Authors: Xie Yi-Yang , Chen Xiu-Bo , Yang Yi-Xian
Published: September 2022

Blockchain technology has been widely applied in numerous industries with its decentralization, verifiability, distributivity, and immutability. However, the identity privacy security of blockchain users is facing serious threats because of the openness of traditional blockchain transaction information. Moreover, numerous traditional cryptographic algorithms used by blockchain transaction networks are difficult to attack quantum computing. In this paper, we propose a new lattice-based blind ring signature scheme in allusion to completely anonymous blockchain transaction systems. There into, the blind ring signature can implement the complete anonymity of user identity privacy in blockchain transactions. Meanwhile, lattice cryptography can availably resist quantum computing attacks. Firstly, the proposed signature scheme has strong computational security based on the small integer solution (SIS) problem and a high sampling success rate by utilizing the techniques of rejection sampling from bimodal Gaussian distribution. Secondly, the proposed signature scheme can satisfy the correctness and security under the random oracle model, including anonymity, blindness, and one-more unforgeability. Thirdly, we construct a blockchain transaction system based on the proposed blind ring signature algorithm, which realizes the completely anonymous and antiquantum computing security of the blockchain users’ identity privacy. Finally, the performance evaluation results show that our proposed blind ring signature scheme has lower latency, smaller key size, and signature size than other similar schemes.
Influencing Factors and Simulation Modeling of Tourist Environmental Protection Behavior under the Background of OSG Platform
Authors: Wang Lixia , Fu Weiyu
Published: September 2022

Due to the continuous socio‐economic progress, tourism has flourished. In addition, the improvement of people’s living standards and constant changes in social awareness and concepts has also made tourism a normal part of daily life. In the past few years, there has been a boom in overseas travel, and tourism has become a rigid demand. This study proposes a new method and model that enables researchers to conduct in‐depth analysis and discussion on the influencing factors of tourists’ environmental protection behavior. Additionally, OSG platform can be used for simulation and modeling. This study uses OSG platform to conduct a simulation experiment on tourists’ environmental protection behavior. The results of the experiment indicate that tourists’ environmental protection behavior is related to six factors, including tourist characteristic factors, tourists’ environmental attitude factors, tourists’ emotional factors towards scenic spots, tourists’ habit factors, social factors, and promotion conditions. At the same time, these factors have some validity. The experimental results involving tourists’ environmental protection behavior can provide more targeted methods and guidance for the development of tourism and also enable tourism to develop more comprehensively and perfectly.
[Retracted] Polyurethane Elastomer Layered Nanocomposite Material for Sports Grounds and the Preparation Method Thereof
Authors: Ren Chunyan , Su Zhanguo , Su Yiping , Wang Lu
Published: September 2022

Polyurethane, as a rubber material, can relieve the load on the ground and provide seismic design for the venue, which is of great significance for sports venues. In order to improve the seismic resistance and abrasion resistance of materials for sports fields and reduce accidents in sports, this article has carried out research on the polyurethane elastomer layered nanocomposites for sports fields and their preparation. Today’s world is a challenging era of science and technology. The fields of biotechnology, information, medicine, energy, environment, and national defense and security are closely related to the development of high tech, and the requirements for materials are becoming increasingly diversified. Polymer nanocomposite coating has the dual characteristics of organic and inorganic components. It not only retains the advantages of a polymer but also endows it with versatility. It meets the current application needs. It is a hot spot in today’s research. Among them, there are two major problems in the composite process of nanomaterials and polymers: dispersion and compatibility. How to improve the dispersion of nanoparticles and enhance the compatibility between nanoparticles and polymers is an urgent problem to be solved. In the method part, this article introduces a small amount of polyurethane and polyurethane elastomers formed after polyurethane modification and introduces layered compounds and nanocomposites and introduces several models involved in nanomaterials in terms of algorithms. In the analysis part, this paper conducts a comprehensive analysis of the hard segment mass fraction, mechanical properties, thermal decomposition behavior, degradation mechanism, and dynamic mechanical properties. With the increase of GO content, the tensile strength increases significantly and the elongation at break becomes smaller and smaller. When the GO content increases from 0% to 2%, the tensile properties of the WPU film increase from 2.6 MPa to 7.9 MPa and the fracture of the elongation decreased from 201.7% to 62.8%. This shows that the increase in GO content will make the composite material harder and brittle. It can be seen from the experimental results that the preparation of the polyurethane elastomer layered nanocomposite material designed in this paper has a good application effect on sports venues.
AI-Based Music Recommendation Algorithm under Heterogeneous Network Platform
Authors: Wang Huan
Published: September 2022

Music service is one of the diversified network services offered by people in the Internet era. Various music websites provide many tracks to meet people’s music needs. Hundreds of millions of music of various genres at home and abroad, and there is a severe problem of information asymmetry between users and music. As a branch of the information filtering system, the recommendation system can predict users’ preferences, increase flow, and drive consumption. A personalized music recommendation system can effectively provide people with a list of favorite tracks. Recently, many researchers have paid attention to heterogeneous networks because of their rich semantics information. Research has confirmed that rich relationship information in heterogeneous networks can improve the recommendation effect. Therefore, under the platform of a heterogeneous network, this paper divides the digraph set of track characteristics into several clusters with maximum heterogeneity, which makes the digraph of track characteristics in each cluster isomorphic to the maximum extent. When matching similarity, only searching in the cluster with the highest similarity to the target user can match a sufficient amount of applicable tracks, thus improving the efficiency of music recommendations to users. Experimental results show that the proposed algorithm has a high recall, precision, and F1 and can recommend personalized track lists to users to meet their music needs.