bluuebunny/crossref_metadata_2025 huggingface dataset:
Contribution of insurance status to the association between marital status and cancer-specific survival: a mediation analysis
Authors: Yang Kai-bin , Zhang Yuan-Zhe , Chen Zi-Hang , Wu Chen-Fei , Zheng Wei-Hong , Kou Jia , Chen Wei , Chen Jin-wei , Qi Si-fan , Liu Qing , Sun Ying , Ma Jun , Lin Li
Published: September 2022

Objectives

To evaluate the extent to which marriage influences cancer-specific survival (CSS) by influencing the insurance status among patients with common solid cancers and the feasibility of reducing the survival gap caused by marriage by increasing private insurance coverage for unmarried patients.

Setting

A retrospective cohort study with patients retrieved from the Surveillance, Epidemiology and End Results programme.

Participants

Patients with nine common solid cancers diagnosed between 2007 and 2016 were included. Patients were excluded if their marital status, insurance status, socioeconomical status, stage or cause of death was unavailable, if survival time was less than 1 month, or if they were younger than 18 years at the time of diagnosis.

Primary and secondary outcome measures

The primary outcome was CSS, which was compared between married and unmarried individuals. Mediation analyses were conducted to determine the contribution of insurance status to the association between marriage and CSS.

Results

Married patients had better CSS than those unmarried (time ratio 1.778; 95% CI 1.758 to 1.797). Private health insurance was a key factor mediating the association between marital status and CSS (proportion mediated (PM), 17%; 95% CI 17% to 17.1%). The PM ranges from 10.7% in prostate cancer to 20% in kidney cancer. The contribution of private insurance to the association between marital status and CSS was greater among women than among men (PM 18.5% vs 16.7%). The mediating effect of private insurance was the greatest for the comparison between married and separated individuals (PM 25.6%; 95% CI 25.3% to 25.8%) and smallest for the comparison between married and widowed individuals (PM 11.0%; 95% CI 10.9% to 11.1%).

Conclusions

17% of the marital disparities in CSS are mediated by private insurance coverage. Increasing private insurance coverage for unmarried patients may reduce the survival gap related to marital status and sex. However, it is unclear whether better publicly funded insurance would have the same effect.
Concussion in Non-athletes: Assessment of Cognition and Symptomatology (CONTACTS) study protocol – an exploratory cohort study investigating the utility of sports concussion assessment tools and salivary microRNAs to diagnose concussion in NHS patients
Authors: Toman Emma , Riley Max , Hodgson Sam , Yakoub Kamal M , Cooper Lauren , Bishop Jon , Naumann David N , Welbury Richard , Hammond Douglas , Di Pietro Valentina , Belli Antonio
Published: September 2022

Introduction

Concussion is a complex pathophysiological process with a wide range of non-specific signs and symptoms. There are currently no objective diagnostic tests to identify concussion, and diagnosis relies solely on history and examination. Recent research has identified a unique panel of microRNAs (miRNAs) that distinguish between concussed and non-concussed rugby players. This study aims to assess the diagnostic utility of salivary miRNAs in concussion for a sample of UK National Health Service patients and whether well-established sports-related concussion (SRC) assessment tools may be translated into the emergency department (ED).

Methods and analysis

Concussion in Non-athletes: Assessment of Cognition and Symptomatology is a single-centre, prospective, two-phase cohort study. The concussed cohort will consist of participants with maxillofacial trauma and concurrent concussion. The control cohort will consist of participants with isolated limb trauma and no evidence of concussion. Participants will be recruited in the ED and saliva samples will be taken to identify the presence of miRNAs. The SRC assessments being investigated include the Sports Concussion Assessment Test, Fifth Edition (SCAT5), the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) and the ImPACT Quick. Follow-up will be at 24–48 hours in-hospital and remotely via telephone and email at 14 days and 6 months.

Ethics and dissemination

Ethical approval was granted in February 2021 by the West Midlands Coventry & Warwickshire Research Ethics Committee (ref 20/WM/0299). The investigators intend to submit their study findings for publication in peer-reviewed journals and to disseminate study findings via presentation at academic meetings. The results will also form part of a doctorate thesis, registered at the University of Birmingham.
Dual mobility versus conventional total hip arthroplasty in femoral neck fractures (DISTINCT): protocol for a registry-nested, open-label, cluster-randomised crossover trial
Authors: Farey John E , Hooper Tamara , Alland Tania , Naylor Justine M , Kelly Thu-Lan , Lorimer Michelle , Lewin Adriane M , Rogers Margaret , Law Chi Kin , Close Jacqueline , Graves Steven E , de Steiger Richard S , Lewis Peter L , Adie Sam , Harris Ian A
Published: September 2022

Introduction

Hip fractures treated with total hip arthroplasty (THA) are at high risk of prosthesis instability, and dislocation is the most common indication for revision surgery. This study aims to determine whether dual mobility THA implants reduce the risk of dislocation compared with conventional THA in patients with hip fracture suitable to be treated with THA.

Methods and analysis

This is a cluster-randomised, crossover, open-label trial nested within the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR). The clusters will comprise hospitals that perform at least 12 THAs for hip fracture per annum. All adults age ≥50 years who meet the Australian and New Zealand Hip Fracture Registry guidelines for THA will be included. The intervention will be dual mobility THA and the comparator will be conventional THA. Each hospital will be allocated to two consecutive periods, one of dual mobility THA and the other of conventional THA in random order, aiming for an average of 16 patients eligible for the primary analysis per group (32 total per site), allowing different recruitment totals between sites. Data will be collected through the AOANJRR and linked with patient-level discharge data acquired through government agencies. The primary outcome is dislocation within 1 year. Secondary outcomes include revision surgery for dislocation and all-cause, complications and mortality at 1, 2 and 5 years. If dual mobility THA is found to be superior, a cost-effectiveness analysis will be conducted. The study will aim to recruit 1536 patients from at least 48 hospitals over 3 years.

Ethics and dissemination

Ethics approval has been granted (Sydney Local Health District - Royal Prince Alfred Hospital Zone (approval X20-0162 and 2020/ETH00680) and site-specific approvals). Participant recruitment is via an opt-out consent process as both treatments are considered accepted, standard practice. The trial is endorsed by the Australia and New Zealand Musculoskeletal Clinical Trials Network.

Trial registration number

ACTRN12621000069853.
Novel blue-phosphorescent platinum(II) ternary complexes with β-diketonate and fluorinated phenylimidazole for organic light-emitting diodes
Authors: Kim Hakjo , Hong Seungyeon , Kim Seung Chan , Lee Jun Yeob , Kang Youngjin
Published: September 2022

In this study, the one-pot synthesis of two novel Pt(II) β-diketonate compounds, namely Pt(tpim)(O^O) (1) and Pt(mtpim)(O^O) (2) (tpim = 1-([1,1′:3′,1′′-terphenyl]-2′-yl)-2-(4-fluorophenyl)-1 H-imidazole, mtpim = 2-(4-fluorophenyl)-1-(5′-methyl-[1,1′:3′,1′′-terphenyl]-2′-yl)-1 H-imidazole, and O^O = acetylacetonato), was achieved. Both compounds had a distorted square-planar geometry without direct intermolecular Pt(II)—Pt(II) interactions, which was attributed to the bulky terphenyl group of the C^N chelate as well as strong intermolecular Pt(II)—H(terphenyl/imidazole) interaction. Compounds 1 and 2 exhibited bright sky-blue-phosphorescent emission with a λmax = 490 nm and photoluminescence quantum yields of 0.50 and 0.47, respectively. The time-dependent density functional theory calculations revealed that the electronic transitions of both compounds were attributed to the combination of intraligand charge transfer (π(phenylimidazole)–π*(terphenyl)) and ligand-to-ligand charge transfer (π(acac)–π*(terphenyl)), in addition to a contribution from the metal-to-ligand charge transfer (Ptd–π*(terphenyl)). Compounds 1 and 2, as the dopants, and 3′-di(9 H-carbazol-9-yl)-1,1′-biphenyl:9-(3'-carbazol-9-yl-5-cyano-biphenyl-3-yl)-9 H-carbazole-3-carbonitrile, as the mixed host were used to fabricate multilayer phosphorescent organic light-emitting diodes. Compound 1 doped in the emissive layer at a 10% doping level demonstrated a maximum current efficiency of 21.7 cd A−1 at 100 cd m−2.
Lifting statistical structures
Authors: Grabowska Katarzyna , Grabowski Janusz , Kuś Marek , Marmo Giuseppe
Published: September 2022

In this paper, we consider some natural (functorial) lifts of geometric objects associated with statistical manifolds (metric tensor, dual connections, skewness tensor, etc.) to higher tangent bundles. It turns out that the lifted objects form again a statistical manifold structure, this time on the higher tangent bundles, with the only difference that the metric tensor is pseudo-Riemannian. What is more, natural lifts of potentials (called also divergence or contrast functions) turn out to be again potentials, this time for the lifted statistical structures. We propose an analogous procedure for lifting statistical structures on Lie algebroids and lifting contrast functions which are defined on Lie groupoids. In particular, we study in detail Lie groupoid structures of higher tangent bundles of Lie groupoids. Our geometric constructions of lifts are illustrated by explicit examples, including some important statistical models and potential functions on Lie groupoids.
Quantum private comparison with six-particle maximally entangled states
Authors: Sun Qi
Published: September 2022

A novel quantum private comparison (QPC) protocol with six-particle maximally entangled states is put forward, which can guarantee that the true content of secret messages from two users cannot be extracted by an illegal party. The entanglement correlation among different particles in one six-particle maximally entangled state is taken to realize the private comparison of secret messages from two users. Neither quantum entanglement swapping nor unitary operations are adopted. Third party (TP) only needs Bell basis measurements while two users only need Bell basis measurements and [Formula: see text] basis measurements. The proposed protocol has no security loophole for the outside attack and the participant attack.
Hysteresis-like phase transitions in quadrupole traps
Authors: Rudyi Semyon , Romanova Anna , Rozhdestvensky Yuri , Rybin Vadim
Published: September 2022

In this paper, we consider the Coulomb crystals in linear ion trap with a nonlinear dissipative force induced by optical radiation. We discuss a relation between 2D and 3D ion crystals formation and the crystalline units’ initial conditions. A phase diagram of the Coulomb crystal configurations is constructed. We introduce a cross size and surface area metrics to define a Coulomb crystals dimension sensitivity to the initial conditions and show the hysteresis-like-type phase transition between 2D and 3D configurations.
Kaniadakis holographic dark energy in Brans–Dicke cosmology
Authors: Ghaffari S.
Published: September 2022

By using the holographic hypothesis and Kaniadakis generalized entropy, which is based on relativistic statistical theory and modified Boltzmann–Gibbs entropy, we build Kaniadakis holographic dark energy (DE) model in the Brans–Dicke framework. We derive cosmological parameters of the Kaniadakis holographic DE model, with IR cutoff as the Hubble horizon, in order to investigate its cosmological consequences. Our study shows that even in the absence of an interaction between the dark sectors of the cosmos, the Kaniadakis holographic dark energy model with the Hubble radius as IR cutoff can explain the present accelerated phase of the universe expansion in the Brans–Dicke theory. The stability of the model, using the squared of sound speed, has been checked and it is found that the model is unstable in non-interacting case and can be stable for some range of model parameters within the interacting case.
The Sub and Super-Tangential Nonconservative Load in Stability Problem of Nanobeams with Sprung Masses
Authors: Jarczewska K. , Hołubowski R. , Glabisz W.
Published: September 2022

In this study, the critical load and natural vibration frequency of Euler–Bernoulli single nanobeams based on Eringen’s nonlocal elasticity theory are investigated. Cantilever nanobeams with attached sprung masses were subjected to compressed concentrated and distributed follower forces. The parameter that determines the direction of nonconservative follower forces was given the positive and negative values, therefore, sub-tangential and super-tangential load were analyzed. The stability analysis is based on dynamical stability criterion and was carried out using a numerical algorithm for solving segmental nanobeams with many boundary conditions. The presented algorithm is based on the exact solutions of motion equations which are derived from equilibrium conditions for each separated segment of the nanobeam. Two comparison studies are conducted to ensure the validity and accuracy of the presented algorithm. The excellent agreement of critical load for Beck’s nano-column on Winkler foundation observed was confirmed as reported by other researchers. The effect of different values of the nonlocality parameter, tangency coefficient, spring stiffness coefficient, location of sprung mass and the greater number of attached sprung masses on a critical load of nanobeams compressed by nonconservative load are discussed. One of the presented results shows that significant differences between local and nonlocal theory appear when the beam subjected to follower forces loses its stability by flutter.
Evaluation of Train Running Safety on Railway Cable-Stayed Bridge During Seismic Excitation
Authors: Variyavwala Jigar P. , Desai Atul K.
Published: September 2022

This research aims to evaluate the dynamic interaction between a cable-stayed bridge (CSB) and operating trains during earthquakes. A three-dimensional finite element modeling approach has been used to analyze the H-shaped pylon CSB along with soil–pile interaction. The train model has been developed using a dynamic system having 10 degrees of freedom. The contact forces between the wheels and the track illustrate the dynamic interaction between the bridge and the train. A Matlab program has been built to receive train–bridge interaction responses. The nonlinear dynamic analysis was performed on CSB using the Bhuj earthquake time history. The structure’s response can then be used to assess the safety of running trains during seismic activity. The dynamic response of the train–bridge interaction system, including the derailment and offloading variables related to the train’s running safety, is evaluated using varied spectral acceleration scaling. The results demonstrate that the acceleration response of the train during seismic events is substantially higher than when there are no earthquake inputs. The operating train’s safety is influenced by both the intensity of the earthquake and the train’s running speed. The operating safety of a moving train during a seismic event is guaranteed by the threshold curve. The proposed bridge modeling technique and simulated results prove that the proposed formulation can accurately envisage dynamic train responses with acceptable computational errors.
Automorphisms of symplectic totally isotropic subspace inclusion graph
Authors: He Jianmei , Zhang Gengsheng
Published: September 2022

Recently, symplectic totally isotropic subspace inclusion graph [Formula: see text] on a [Formula: see text]-dimensional symplectic space [Formula: see text] was introduced in [J. He, S. Zhang and G. Zhang, Symplectic totally isotropic subspace inclusion graph, Linear Multilinear Algebra (2022), doi:10.1080/03081087.2022.2112016], which is a graph whose vertices are all totally isotropic subspaces of [Formula: see text] and two distinct vertices are adjacent if and only if one is contained in the other. In that paper, the authors studied the diameter, girth, clique number and chromatic number of [Formula: see text] and also studied some other properties of [Formula: see text]. In this paper, we determine the automorphism group of [Formula: see text].
Flexible capacitive three-dimensional force sensor for hand motion capture and handwriting recognition
Authors: Lv Zihan , Song Zeqian , Ruan Diqing , Wu Huaping , Liu Aiping
Published: September 2022

Handwriting recognition has been widely studied as an important signal transmission method in the field of human–computer interaction. Flexible capacitive three-dimensional (3D) force sensor is widely used in this field because of its high sensitivity, large dynamic response range and good mechanical stability. However, traditional flexible capacitive 3D force sensors based on the array structure usually only sense 3D force with equivalent forward pressure rather than the decoupling of real 3D force in space. Herein, we design a flexible capacitive 3D force sensor with petal-like electrode to capture various hand movements in 3D space and further decouple 3D force to 1D force along [Formula: see text], [Formula: see text] and [Formula: see text] directions. The sensor presents a high sensitivity (1.1 kPa[Formula: see text]at the pressures below 1 kPa), a fast response (63 ms) and excellent repeatability under continuous pressure. In addition, the electrode with eight-petal structure helps simplify the decoupling process of 3D force. Through handwriting test, the sensor presents good sensing performance for hand motion capture and handwriting recognition, which is expected to be applied in the field of human–computer interaction.
The matching polynomials of hypergraphs and weighted hypergraphs
Authors: Yang Jia-Wen , Wang Wen-Huan
Published: September 2022

Let [Formula: see text] be the set of the connected [Formula: see text]-uniform linear hypergraphs with [Formula: see text] vertices, where [Formula: see text]. The matching polynomial of a hypergraph [Formula: see text] is denoted by [Formula: see text], where [Formula: see text]. Several properties on the roots of [Formula: see text] are derived. We establish different expressions for [Formula: see text], such as a higher-order differential formula and an integral formula. A new concept is also introduced for the weighted matching polynomials of weighted hypergraphs, for which several basic calculating formulas are obtained. Based on the results we obtained, some formulas for counting the number of perfect matchings of [Formula: see text] are directly derived. Finally, for the weighted matching polynomials of the weighted loose paths and the weighted loose cycles, we not only obtain their recursive formulas, but also deduce their specific expression formulas.
Quantum interpolating ensemble: Bi-orthogonal polynomials and average entropies
Authors: Wei Lu , Witte Nicholas
Published: September 2022

The density matrix formalism is a fundamental tool in studying various problems in quantum information processing. In the space of density matrices, the most well-known measures are the Hilbert–Schmidt and Bures–Hall ensembles. In this work, the averages of quantum purity and von Neumann entropy for an ensemble that interpolates between these two major ensembles are explicitly calculated for finite-dimensional systems. The proposed interpolating ensemble is a specialization of the [Formula: see text]-deformed Cauchy–Laguerre two-matrix model and new results for this latter ensemble are given in full generality, including the recurrence relations satisfied by their associated bi-orthogonal polynomials when [Formula: see text] assumes positive integer values.
The Effectiveness of Safety Education on Workforce Risks: Evidence from South Korea
Authors: Lee Sangwon , Lee Sungwon
Published: September 2022

This paper investigates how effective safety education reduces workforce risks by using an establishment-level dataset in South Korea. We focus on identification and estimation of causal effects. Since provision of safety education depends on establishment’s decision, the main variable of interest is endogenous. We adopt a partial identification approach to identifying and estimating the causal effects. The empirical results indicate that we cannot rule out the possibility that safety education may not be effective in most cases. We then discuss potential reasons that safety education would not help reduce workforce risks. Our findings are expected to be helpful to develop an effective policy to reduce workforce risks and improve work environments.
Assessing the quantum-computing landscape
Authors: Deshpande Advait
Published: September 2022

A summative assessment of quantum computing's progress, based on market readiness and investment levels, and its future implications.
What's your placebo?
Authors: Bockmon Ryan , Cooper Stephen
Published: September 2022

The dangers of participation bias in educational studies.
Applied AI teaches handwriting
Authors: Shein Esther
Published: September 2022

In an increasingly digital world, how do you teach students cursive handwriting?
Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey
Authors: Catania Fabio , Spitale Micol , Garzotto Franca
Published: September 2022

Neurodevelopmental Disorders (NDD) are a group of conditions with onset in the developmental period characterized by deficits in the cognitive and social areas. Conversational agents have been increasingly explored to support therapeutic interventions for people with NDD. This survey provides a structured view of the crucial design features of these systems, the types of therapeutic goals they address, and the empirical methods adopted for their evaluation. From this analysis, we elaborate a set of recommendations and highlight the gaps left unsolved in the state of the art, upon which we ground a research agenda on conversational agents for NDD.
A Journey Through Nonlinear Dynamics: The Case of Temperature Gradients
Authors: Libchaber Albert
Published: September 2022

The overall effect of temperature gradients is stressed for the Earth's core and surface, but also for the Sun's surface. Using Rayleigh–Bénard convection in helium and mercury, we measured all of the scaling properties of the period-doubling cascade and quasiperiodicity. Hard turbulence scaling properties are presented in an experiment using helium gas at low temperature. A [Formula: see text] scaling law is measured and also an exponential distribution for temperature fluctuations is observed. We present a study of a Rayleigh–Bénard convection cell with an open top and a floater. One of the simplest limit cycles is observed for the floater position. It follows a model proposed by Wilson for continent motion. Using the Soret effect, we study how temperature differences lead to strong accumulation of DNA suspensions. Also using polyethylene glycol concentration gradients, we measured local DNA and RNA accumulation. Finally, using thermal convection, we build one of the smallest PCR machines.
Structures of Leukotriene Biosynthetic Enzymes and Development of New Therapeutics
Authors: Haeggström Jesper Z. , Newcomer Marcia E.
Published: September 2022

Leukotrienes are potent immune-regulating lipid mediators with patho-genic roles in inflammatory and allergic diseases, particularly asthma. These autacoids also contribute to low-grade inflammation, a hallmark of cardiovascular, neurodegenerative, metabolic, and tumor diseases. Biosynthesis of leukotrienes involves release and oxidative metabolism of arachidonic acid and proceeds via a set of cytosolic and integral membrane enzymes that are typically expressed by cells of the innate immune system. In activated cells, these enzymes traffic and assemble at the endoplasmic and perinuclear membrane, together comprising a biosynthetic complex. Here we describe recent advances in our molecular understanding of the protein components of the leukotriene-synthesizing enzyme machinery and also briefly touch upon the leukotriene receptors. Moreover, we discuss emerging opportunities for pharmacological intervention and development of new therapeutics.
Magnetic Characterization of Electrodeposited Pt1−xNix Alloy Films: Influence of Deposition Potential and the Presence of Boric Acid
Authors: Rus Eric D. , L. Corrêa Eduardo , Groopman Evan , Williamson Todd , Hijazi Hussein , Kasaei Leila , Dennis Cindi L. , Moffat Thomas P.
Published: September 2022

Pt1-xNix (x = 0.25 to 0.92) thin films were examined for possible application as magnetic thermometers. The alloys were prepared by potentiostatic electrodeposition from aqueous chloride-based solutions in the presence and absence of 0.5 mol dm−3 B(OH)3. Alloy composition was controlled by the deposition potential with the Ni concentration increasing towards more reducing potentials. Films with x > 0.45 were ferromagnetic with the magnetization at 300 K increasing with nickel content. Magnetization vs temperature (M vs T) at 8 kA m−1 (100 Oe) showed an increase in the Curie temperature from less than 200 K to above 400 K for the alloys investigated. For films deposited at potentials >−0.6 V vs the saturated calomel electrode (SCE), boric acid had negligible effect on the magnetization at the maximum applied field in M vs H measurements. In contrast, for depositions at more reducing potentials <−0.6 V vs SCE the presence of boric acid resulted in diminished magnetization. This effect was attributed to elevated incorporation of oxygen (up to ∼4 atomic %), along with boron incorporation of about 400 μmol mol−1.
Spectroelectrochemical Examination of the Ferro-Ferricyanide Redox Reaction: Impacts of Electrode Thickness and Applied Potential
Authors: Ganesan Akash , Zimudzi Tawanda J. , Pothanamkandathil Vineeth , Gorski Christopher A. , Hall Derek M.
Published: September 2022

Attenuated total reflection, surface enhanced infrared absorption spectroscopy (ATR-SEIRAS) is a spectrochemical method that can detect changes in concentrations of electroactive species near an electrode surface as well as adsorbed intermediates. However, its application to heterogeneous redox reactions is still infrequent due to complex working electrode fabrication procedures. This study presents a simple procedure for fabricating ATR-SEIRAS platinum electrodes and demonstrates the effectiveness of the procedure with a successful examination of the Fe(CN)6
3−(aq)/Fe(CN)6
4−(aq) reaction. We found that electrode resistance measurements supported by atomic force microscopy were accurate indicators of ATR-SEIRAS response and ATR electrode thickness. Working electrodes with resistances of 600 Ω were approximately 2.4 ± 0.3 nm in thickness and enabled clear detection of the ferrocyanide peak at 2040 cm−1 with universal wafers. Decreasing electrode thickness to 1.0 ± 0.3 nm improved signal strength by 50%. Polarization tests revealed the formation of adsorbed intermediates at 2070 cm−1 with both positive and negative polarizations consistent with an inner sphere reaction mechanism. Applying large positive polarizations (>900 mV vs SHE) formed additional cyanoplatinate complexes, indicating electrode degradation at large applied potentials.
Inhibition of DNAJC12 Inhibited Tumorigenesis of Rectal Cancer via Downregulating HSPA4 Expression
Authors: Sun Qi , Lv Yan , Sun Weihua
Published: September 2022

Background. Dysregulation of DnaJ heat shock protein family (HSP40) member C12 (DNAJC12) is implicated in the malignancy progression of multiple cancers. The current study aimed to determine the biology function and mechanism of DNAJC12 in rectal cancer (RC). Methods. RC tissues, adjacent tissues, RC cell lines, and normal colorectal epithelial cell lines were collected to analyze DNAJC12 expression. The abilities of DNAJC12 on proliferation, migration, and apoptosis of RC cells were detected by CCK-8, wound healing, and flow cytometry assays. Co-IP assays were carried out to confirm the association between DNAJC12 and HSPA4. The effect of DNAJC12 on tumor growth was detected by using the xenograft model of nude mice. Results. Elevation of DNAJC12 was uncovered in RC tissues and cell lines. DNAJC12 upregulation facilitated RC cell proliferation and migration and induced apoptosis, while DNAJC12 interference showed the opposite results. Besides, HSAP4 served as a potential binding protein for DNAJC12. Rescue experiments revealed that elevated of HSAP4 restored the impact of DNAJC12 silencing on the cell functions. Finally, DNAJC12 silencing hampered tumor growth of RC in vivo. Conclusion. In summary, this study highlighted a key player of DNAJC12 in modulating the malignant biological progression of RC via DNAJC12/HSPA4 axis, displaying a potential therapeutic target for RC.
Convolutional Neural Network Face Recognition Method Using Fisher’s Criterion
Authors: Wang Wei , Wu Fang
Published: September 2022

In order to further improve the ability of automatic feature extraction of deep learning technology and better solve the problem of system recognition ability declining when the number of training samples is reduced or the number of iterations is reduced, this paper proposes a fisher-based convolutional neural network algorithm, which automatically obtains the structural feature information of a face image with the help of a deep learning algorithm network and then reduces the number of weights with the help of a convolutional neural network to further reduce the complexity of the face recognition model. Through the system test, the verification data shows that the recognition error rate can be controlled at about 10% by extracting 10 of the 14 pictures of each type of face for training. When the training images are reduced, the recognition rate can be further improved.
Modeling and Optimization Analysis of Ancient Building Construction Rule Components Based on Deep Learning
Authors: Ni Hao
Published: September 2022

Chinese culture is broad and profound, and successive dynasties have left many cultural treasures. Ancient architecture is a significant treasure, and it is also the core content of the inheritance of Chinese culture. Every Chinese ancient building has its own characteristics, and the creative components of each ancient building are an important part of ancient buildings. As a new learning mode of current scientific inquiry, the deep learning model includes high-level and high-stage cognitive processing ability and innovative thinking ability. Under the background of the above modeling and optimization analysis of ancient building construction rule components and the development of deep learning mode, this paper proposes the modeling and optimization analysis of ancient building construction rule components about deep studying. The results of the experiment are as follows: (1) about the concept of the deep learning technology model and the vacancy problems existing in the current situation of the design framework and optimization of ancient building construction rule components, the research direction of the experiment is determined, and through the investigation and analysis of the modeling and optimization of ancient building construction rule components based on the deep learning model, the technical guarantee is provided for the research of this paper; (2) the convolution neural network algorithm, inversion model algorithm, loss function algorithm, and optimization algorithm are used to calculate, evaluate, and analyze the research problems, and the investigation contents are identified and analyzed through experimental research. It can not only analyze the root of the research problems but also improve the specific modeling optimization problems of ancient buildings, to reduce the unnecessary loss of time and resources.
Ethereum Ponzi Scheme Detection Based on PD-SECR
Authors: Zhang Shuhui , Lan Tian , Wang Lianhai , Xu Shujiang , Shao Wei
Published: September 2022

Ethereum, a typical application of blockchain technology, has attracted extensive attention from all walks of life since its release. Owing to imperfections in existing supervision technology, illegal and criminal activities on blockchain platforms are becoming increasingly frequent. The most typical Ethereum fraud is the Ponzi scheme, which causes blockchain investors to lose millions of assets and severely impacts social development. Currently, Ponzi scheme detection primarily focuses on machine learning and data mining. However, existing detection methods still have two problems in data imbalance processing and feature extraction: (1) data enhancement using an oversampling algorithm produces noise and (2) feature redundancy existing in extracted feature data. The SMOTEENN algorithm is introduced to solve data imbalance. The PD-SECR method, the Convolutional Neural Network (CNN) feature extraction, and random forest (RF) classification models are used for detection, but the two models are independently trained. The results show that the detection method proposed in this study is more suitable for the Ethereum Ponzi scheme.
Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM
Authors: Li Haijun , Zhao Yongpeng , Ma Changxi , Wang Ke , Huang Xiaoting , Zhang Wentao
Published: September 2022

Predicting rail transit passenger flow is crucial for modifying the metro schedule. To increase prediction accuracy, a model is proposed that combines long short-term memory (LSTM) with single spectrum analysis (SSA). Firstly, a stepwise decomposition sampling (SDS) strategy based on SSA progressive decomposition is proposed as a solution to the data leaking issue in traditional sequence decomposition. Then, based on this strategy, the passenger flow time series with complex features is decomposed into a relatively single trend and fluctuation component. Finally, the LSTM network is employed to perform short-term predictions on each component separately. The predicted value of each component is accumulated to obtain the original passenger flow’ predicted result. The example shows that, compared with the single LSTM and other hybrid models, the proposed method offers a greater overall prediction accuracy in the experimental days, and the method has specific applicability.
Upregulation of miR-181a-5p and miR-125b-2-3p in the Maternal Circulation of Fetuses with Rh-Negative Hemolytic Disease of the Fetus and Newborn Could Be Related to Dysfunction of Placental Function
Authors: Xie Xiao-Hui , Jiang Mei , Xiong Zheng-Ai , Huang Xiao-Qin
Published: September 2022

The transplacental transfer of maternal antibodies to the fetus is a critical mechanism for infant protection and perinatal disease. Hemolytic disease of the fetus and newborn (HDFN) is a representative fetal disease caused by transplacental transfer of maternal IgG antibodies. However, it is unclear whether placental-related miRNAs are expressed in Rh-HDFN. Through the investigation of the miR-181a-5p and miR-125b-2-3p levels in maternal plasma using qPCR, we found that both miR-181a-5p and miR-125b-2-3p were highly expressed in maternal plasma of newborns with Rh-HDFN compared with healthy controls, indicating the potential roles of these two miRNAs in Rh-HDFN. To demonstrate whether dysregulation of miR-125b-2-3p and miR-181a-5p contributes to Rh-HDFN development, we analyze the placental miRNA-/mRNA sequencing data (GSE73714) using weighted gene coexpression network analysis (WGCNA), miRNA target predictive databases, and DAVID (Database for Annotation, Visualization, and Integrated Discovery). The results showed that miR-125b-2-3p and miR-181a-5p could regulate several biological processes including cytoplasmic microtubule organization and angiogenesis. Moreover, core promoter sequence-specific DNA binding and protein binding were highly enriched molecular functions, indicating the potential roles of transcriptional regulation. Further pathway enrichment showed that miR-181a-5p and miR-125b-2-3p could regulate several biological pathways that were closely related to placental function, including the FoxO signaling pathway, focal adhesion, mTOR signaling pathway, and central carbon metabolism in cancer. In conclusion, the present results first revealed miRNA expression in the maternal circulation of newborns with Rh-HDFN, which could be caused by dysfunction of the placenta.
Recent Developments and the Causes of Globalization for the Chinese Yuan Based on Statistical Analysis
Authors: Ma Tao , Wang Dali
Published: September 2022

We analyze the spatial evolutionary path and spatial evolutionary features of Renminbi (RMB) internationalization from three aspects: transaction intermediary, invoicing unit, and value storage. The main results show that: Firstly, the internationalization of RMB exhibits a certain path expansion pattern, such as initially expands to East Asian countries and regions, then gradually moves to Southeast Asia, Europe, South America, and Australia, and participating countries in the Belt and Road initiative. Secondly, the RMB settlement of cross-border trade presents the “coast-border-inland” spatial characteristics. Thirdly, bilateral currency swap shows “rapid growth” and “unbalanced growth.” Finally, the spatial structure of RMB internationalization has the significant features such as “from points to the area and from lines to the area.”
Cross-Domain Authentication Technology of UAV Based on Alliance Chain
Authors: Xia Tao , He Jun , Liu Haifeng
Published: September 2022

As the application scope of UAV expands, the demand for the cross-domain mission execution capability of UAV is increasing, which also puts forward higher requirements for the cross-domain certification capability of UAV. This paper proposes and verifies a cross-domain authentication scheme based on alliance chain technology. The experimental results show that compared with the original scheme, it greatly improves the efficiency of cross-domain authentication while solving the problem of trust between control stations.
Construction and Application Research of the Visual Image Obstacle Type Recognition Model Based on the Computer-Expanded Convolutional Neural Network
Authors: Xian Yuchen
Published: September 2022

Due to the development of computer vision technology and image processing technology, obstacle recognition technology has been widely used in military and scientific research fields. However, most of the existing image-based recognition technologies are easily affected by environmental factors, which makes the application scenario of this system more fixed and cannot be applied in complex environments. This paper mainly focuses on the traditional obstacle detection and type recognition method recognition accuracy, reliability and universality is difficult to meet the technical requirements of intelligent vehicles and unmanned vehicles, traditional detection equipment cost is expensive, and other problems. There are many traditional obstacle detection methods, which basically start from the color, edge, and other information of the target object to do detection and recognition research, but their recognition accuracy, reliability, and universality are difficult to meet the technical requirements of intelligent vehicles and unmanned vehicles, and the detection equipment is expensive. The dilated convolutional neural network has the ability to learn autonomously, using the original image as input, without the cumbersome preprocessing process and can extract features of the target object one by one to achieve more accurate recognition. This design will be based on the expanded convolutional neural network, design an obstacle type detection and obstacle recognition application with high recognition accuracy, and good generalization, in which this paper applies the hierarchical structure of the expanded convolutional neural network weight sharing to learn the characteristics of various types of obstacles and extract the global features with characterization significance, combined with the ROI algorithm to achieve real-time obstacle detection and high accuracy type recognition. The ROI algorithm is combined to achieve real-time obstacle detection and high-precision type recognition.
Tang Sancai Cultural and Creative Product Design Based on Bi4Ti3O12 Ferroelectric Nanomaterials
Authors: Wang Sihan , Zhang Jie
Published: September 2022

Nano has its small size and specific characteristics that are different from other materials, bringing a climax to the world’s on-site nano research and material development. In the ceramic industry, the nanometer is an important research object in the ceramic industry. This article aims to study nanomaterials and their application in Tang Sancai. The experiment in this paper shows from the Table that the sales volume of nanotechnology used in 2016-1020 is getting higher and higher, from 35.35 million yuan in 2016 to 10.43 million yuan in 2020, while the sales volume of ceramics that do not use nanotechnology has increased from 3567 in 2016. Ten thousand yuan has become 26.32 million yuan in 2020. It can be seen that ceramics using nanotechnology are more popular.
Algorithm of Encrypting Digital Image Using Chaos Neural Network
Authors: Mao Ying
Published: September 2022

With the rapid development of digital communication technology, data and image encryption methods will get more and more in-depth research in these aspects. Although the original cipher method can keep the image confidential, because of the storage method of the image data, for the image with too high pixel value, the process of keeping the two-dimensional information confidential and decoding will bring a large amount of computation, and the accuracy of encryption and decryption cannot be guaranteed. This paper presents a visual image encryption algorithm based on the compressed sensing method of the Hopfield chaotic neural network. Different from the existing visual image encryption methods, our method can directly embed the noise like information after encryption into the alpha channel of the carrier image, thus increasing the visual stability of the computer. Finally, through the comparison and analysis of simulation experiments, we find that the image encryption algorithm proposed in this paper has the advantages of wide password space, low risk, good visual stability, good decoding effect, and good robustness.
A Comparative Study on Qualification Criteria of Nonlinear Solvers with Introducing Some New Ones
Authors: AL-Obaidi R. H. , Darvishi M. T.
Published: September 2022

In order to compare different solvers for systems of nonlinear equations, some novel goodness and qualification criteria are defined in this paper. These use all parameters of a nonlinear solver such as convergence order, number of function evaluations, number of iterations, CPU time, etc. To achieve the criteria, different algorithms to solve nonlinear systems are categorised to three kinds. For any category, two criteria are defined to compare different algorithms in that category. As numerical results show, these new criteria can use to compare different algorithms which solve systems of nonlinear equations. Further, we present some corrected formulas for some classical efficiency indices and change them to be more applicable. Also, some suggestions are presented about the future works.
OSA Wellness Scale (OWS): A New Health-Related Quality of Life Test in Obstructive Sleep Apnea Patients Treated with Mandibular Advancement Device
Authors: Ciavarella Domenico , Campobasso Alessandra , Guida Laura , Cazzolla Angela Pia , Montaruli Graziano , Corlianò Fabrizio , Romano Luigi , Cassano Michele , Tepedino Michele , Burlon Giuseppe
Published: September 2022

Objectives. To present a new short self-test, called the OSA wellness scale (OWS), for assessing the health-related quality of life (HRQoL) changes in obstructive apnea syndrome (OSA) patients treated with mandibular advancement device (MAD). Methods. 51 OSA patients (8 women and 43 men, mean age 52.3) treated with a fully customizable MAD device (Protrusor) were retrospectively enrolled. Each patient received a home sleep apnea testing (HSAT) at baseline (T0) and after three months of MAD treatment (T1). Two self-test evaluations, the Epworth sleepiness scale (ESS), and OWS were also submitted at T0 and T1. The OWS was a short self-test of 8 questions for evaluating the daytime HRQoL. Patients gave an assessment from 0 to 3 for each question. At the end of the questionnaire, the patients had a score from 0 to 24, resulting from the sum of all 8 scores. The higher the score, the greater the patient’s perceived state of discomfort. Results. At T1, a significant decrease in the oxygen desaturation index (ODI) and apnea-hypopnea index (AHI) was shown (

p
<
0.0001

), while no significant changes in body mass index (BMI) were found. Both the ESS and the OWS records showed a significant reduction in daytime sleepiness and HRQoL (

p
<
0.0001

). Conclusion. The OWS could be a useful method to verify and numerically compare the perceived quality of life in OSA patients, before and after MAD therapy.
Analysis of Legal Issues of the Crime of Endangering Public Safety Based on Data Mining Algorithm
Authors: Xu Yaqiong , Feng Tao
Published: September 2022

In order to improve the analysis effect of legal issues of the crime of endangering public safety, this paper analyzes the legal issues of the crime of endangering public safety based on the actual mining algorithm and uses numerical methods to qualitatively study the evolution behavior across phase intervals. Moreover, this paper improves the algorithm based on the actual needs of legal mining. When solving the eigenvalues of the given Hamiltonian’s duration equation, the zero-energy solution can be found in the case of open boundaries. In addition, this paper applies the improved algorithm proposed in this paper to the mining of criminal law legal issues of crimes against public safety, assigns a dynamic IP to each process, and builds a model based on this. Through the above simulation research, it can be seen that the legal problem analysis model of the crime of endangering public safety based on the data mining algorithm proposed in this paper has a good legal data mining effect.
Molecular Dynamics Simulations of Polymer Grouting Material: Its Mechanical Behavior under Uniaxial Tension, Cyclic Tensile Loading, and Stress Relaxation
Authors: Du Mingrui , Zhang Haoyue , Zhao Yan , Huang Zongliang , Zheng Chengzhi , Wu Rui , Gao Xinlei
Published: September 2022

At present, polyurethane (PU) has been extensively used as a grouting material in civil engineering. The mechanical properties of PU are the key to achieving the desirable grouting effect. This study presents the research results of the mechanical behavior of PU matrix under tensile, successive cyclic tensile, and stress relaxation at the nanoscale, using the coarse-grained molecular dynamics simulation method. The influences of the number of molecule chains and strain rate on the tensile mechanical properties are discussed, and the tensile deformation mechanism of PU matrix is revealed. The tensile strength of PU matrix is independent of loading path, and after yielding, the strain of PU matrix contains the elastic strain, plastic strain, and viscous strain. In the stress relaxation process, the evolution of the axial stress is mainly caused by the varied van der Waals interactions. The stress relaxation behavior of PU matrix can be described by the viscoelastic model consisting of one elastic element in parallel with one Maxwell element.