bluuebunny/crossref_metadata_2025 huggingface dataset:
Vibration-Based Bridge Damage Detection Using Image-Based Pre-Trained Deep Learning Network
Authors: Song Xi , Dyogi Joshua , Cho Chunhee
Published: November 2022

Vibration-based damage detection has become one of the principal practices to prevent structural collapses in civil, mechanical, and other engineering disciplines. Meanwhile, with the advancement of computing technology, various machine learning (ML) approaches have been applied toward structural damage detection through the application of post-processing algorithms. To accurately predict damages with ML, large amounts of structural response data are collected from a series of sensors attached to the structure. Therefore, the damage diagnosis requires high computational efforts. To address such an issue, this paper presents a revolutionary approach utilizing an image-based pre-trained convolutional neural network (CNN) to detect bridge damage locations and severities. Our research adopted scalograms from wavelet transform to convert structure acceleration data into image data. Compared with the traditional frequency analysis derived from the Fourier transform, the new method maintains both spatial and temporal information from the original structural behaviors. To generate CNN learning features, six channels of acceleration data are gathered from six strategically selected points of a finite element (FE) bridge model. Two pre-trained CNN, AlexNet and Resnet, are selected to conduct transfer machine learning for higher training efficiency. The performances of the proposed method are assessed with various damage scenarios. The prediction accuracies of AlexNet and Resnet are 98% and 100%, respectively.
Damage Assessment From Attractor Boundary Deformation
Authors: Sloboda Andrew R. , Kong Chin Ting
Published: November 2022

Quantifying damage in nonlinear systems remains challenging. Existing methods using chaotic interrogation are limited because they are based on algorithms designed for time series prediction and have difficulty determining damage type or location. To address this shortcoming, we propose analysis based on exciting a structure with a chaotic signal and then measuring changes in the outer boundary of the chaotic attractor associated with the structural response. Sampling the boundaries of attractors associated with both the undamaged and damaged structures allows boundary transformation vectors (BTVs) to be drawn between the boundaries that encode information about how the system has changed. Certain regions of the boundary will deform proportionally to damage level, but these regions may be situated differently or deform in different directions for different damage types or locations, allowing this additional information to be inferred. If a library of BTVs for known damage cases are recorded, then future, unknown damage can be quantified using interpolation or extrapolation of the library. A simulated mass-spring-damper system is used to demonstrate how both damage level and type/location can be determined using chaotic interrogation in combination with boundary transformation analysis.
Investigation of the Resistive Response of Reduced Graphene Oxide for Sensing Large Strains (>10%)
Authors: Yazdi Armin , Tsai Li-Chih , Salowitz Nathan
Published: November 2022

This paper presents a recent investigation into sensing and measurement of large strain (>10%) based on variation in electrical resistance of reduced graphene oxide. Sensing and measurement of large strain is of great interest for highly flexible and stretchable systems with applications including monitoring human motion, soft robotics and structural health monitoring. Measuring large strains is challenging because many traditional engineering materials yield or fracture at relatively small strains. Nanoparticle-based strain gauges have been investigated and regularly found to survive strains up to 50% with sensitivity (gauge factor) near 100 times greater than conventional metal foil strain gauges. However, most of these nanoparticle-based strain gauges have been made of toxic materials and are expensive to create (e.g. nickel or silver nanoparticles). Recent research has uncovered incredible properties of graphene which can overcome these issues, composed of inexpensive and natural carbon and surviving strain up to 20%. Direct synthesis and deposition of graphene monolayers remains expensive and complex. Reduced graphene oxide shares many of the phenomenal properties of graphene but can be synthesized with simple drop casting and thermal reduction techniques.

This paper presents recent research into measurement of strains greater than 10% by monitoring the change in resistance of reduced graphene oxide patches. A combination of electrical, mechanical, and microscopic investigations were performed to understand the electromechanical behavior of the material. A highly linear relation between resistance and strain was observed at relatively small strains, consistent with piezoresistive theory from monolithic materials, while a nonlinear relation was observed at strains from 12% to 20%, consistent with percolative behavior of nanoparticle-based strain sensors. The relation between non-aligned strain and resistance measurement was also investigated (e.g. perpendicular and off axis). Continuing investigation is seeking to understand the origins of the electrical and mechanical behavior observed.
Characterizing the Effects of Annealing Temperature on Knitted Shape Memory Actuators
Authors: Pettys-Baker Robert , Subash Niharikha , Mack Isidora , Shah Surbhi , Abel Julianna , Holschuh Brad
Published: November 2022

Advancements in the design of knitted Shape Memory Alloy (SMA) actuators have produced highly functional and easy-to-wear advanced textiles with variable fit/stiffness properties. Annealing SMA at high temperatures can alter their thermomechanical properties; however, heat treatments of SMA knitted actuators have yet to be systematically studied. This study investigates the relationship between annealing temperatures and the resultant SMA knit thermomechanical behavior (maximum force and actuator transformation temperature). Twelve SMA knitted samples were manufactured using Dynalloy Flexinol® 70°C (0.012″). Nine samples were annealed at three different temperatures (350°C, 450°C, 550°C), with the remaining samples acting as controls. The blocked force mechanical performance was characterized by varying the thermal load across various applied structural strains. The samples were thermally cycled between 20°C and 90°C at each strain level. The results indicate that samples annealed while stretched along the knit-course direction enabled large-force actuation at smaller displacements than the control samples. Annealed samples showed higher peak force than control samples as annealing temperature increased until the 450°C condition; however, the 550° samples showed a dip in force. The actuator transformation temperatures showed reduced Austenite start (As) temperature compared to the control sample, enabling actuation at a lower temperature while also reducing the Martensite Finish (Mf) temperatures. This work allows for greater tuning of knitted SMA actuators to meet the needs of researchers and product developers.
Development of Embeddable Additive Manufacturing Microsensors for Structural Health Monitoring
Authors: Reed Nicholas , Kim Daewon
Published: November 2022

Significant progress into the development and use of stretchable sensors for structural health monitoring (SHM) has been made in the last several years. The fusion of stretchable, adaptable sensing materials with highly specialized additive manufacturing techniques allows for the development of highly adaptive, customizable, and easily accessible sensing solutions. However, a significant portion of these works explore SHM topics at a macro level, and with a reduced focus on implementation. As such, little application or experimentation into practical sensing elements, especially those at the micro scale, have followed the advances in sensing technology. In this work, we demonstrate the application of recent developments in stretchable electronics, alongside multiple advanced additive manufacturing processes, to develop a novel flexible microscale sensor. A complex sensor is designed and printed utilizing Digital Light Processing (DLP) to directly fabricate the structure. The printed sensor is then filled with a piezoresistive sensing element of either PEDOT:PSS or carbon-based PDMS (cPDMS), which provided strain readings via resistance change. After being filled with a sensing mixture, the sensor is shown to operate as desired under large deformations. Additionally, the sensor is shown to work effectively when embedded into a separate additively manufactured part. A flexible test coupon is manufactured using the DLP AM process, and a microsensor is embedded inside the coupon structure. This sensing systems is tested in both tension and bending. These results show the feasibility of implementing both modern day AM processes and into current structural health monitoring developments into practical applications.
Carbon nanotube transistors: Making electronics from molecules
Authors: Franklin Aaron D. , Hersam Mark C. , Wong H.-S. Philip
Published: November 2022

Semiconducting carbon nanotubes are robust molecules with nanometer-scale diameters that can be used in field-effect transistors, from larger thin-film implementation to devices that work in conjunction with silicon electronics, and can potentially be used as a platform for high-performance digital electronics as well as radio-frequency and sensing applications. Recent progress in the materials, devices, and technologies related to carbon nanotube transistors is briefly reviewed. Emphasis is placed on the most broadly impactful advancements that have evolved from single-nanotube devices to implementations with aligned nanotubes and even nanotube thin films. There are obstacles that remain to be addressed, including material synthesis and processing control, device structure design and transport considerations, and further integration demonstrations with improved reproducibility and reliability; however, the integration of more than 10,000 devices in single functional chips has already been realized.
Halogenation of the 3-position of pyridines through Zincke imine intermediates
Authors: Boyle Benjamin T. , Levy Jeffrey N. , de Lescure Louis , Paton Robert S. , McNally Andrew
Published: November 2022

Pyridine halogenation reactions are crucial for obtaining the vast array of derivatives required for drug and agrochemical development. However, despite more than a century of synthetic endeavors, halogenation processes that selectively functionalize the carbon–hydrogen bond in the 3-position of a broad range of pyridine precursors remain largely elusive. We report a reaction sequence of pyridyl ring opening, halogenation, and ring closing whereby the acyclic Zincke imine intermediates undergo highly regioselective halogenation reactions under mild conditions. Experimental and computational mechanistic studies indicate that the nature of the halogen electrophile can modify the selectivity-determining step. Using this method, we produced a diverse set of 3-halopyridines and demonstrated late-stage halogenation of complex pharmaceuticals and agrochemicals.
Adding functions to pyridines
Authors: Joo Jung Min
Published: November 2022

Chemical reactions break a pyridine ring to allow its modification
Using mirrors to control molecular dynamics
Authors: Chuntonov Lev
Published: November 2022

An optical cavity mixes molecular vibrations with light and changes chemical reactivity
Whistleblower finds possible misconduct in his own papers
Authors: Piller Charles
Published: November 2022

Matthew Schrag confronts a mentor after their joint work is flagged on the PubPeer website
Worldwide Disseminated IncX4 Plasmid Carrying
mcr-1
Arrives to Wild Mammal in Portugal
Authors: Dantas Palmeira Josman , V. Cunha Mónica , Ferreira Helena , Fonseca Carlos , Tinoco Torres Rita
Published: November 2022

Colistin resistance mediated by plasmids is recognized worldwide as an emergency problem connected with the whole ecosystem, since is well described in the interface of the human-animal-environment. The plasmid IncX4 is reported as one of the most prevalent plasmids harboring the gene
mcr-1
.
Surface Dependent Inhibition of Mycobacterium abscessus by Diverse Pseudomonas aeruginosa Strains
Authors: Idosa Ayantu W. , Wozniak Daniel J. , Hall-Stoodley Luanne
Published: November 2022

The biofilm lifestyle is favored by many organisms, and understanding interbacterial interactions that occur between coisolated bacterial species can provide new information regarding bacterial defense mechanisms and antibacterial targets. This may also provide insights into possible interbacterial interactions impacting host immunity during coinfection.
Expanded Proteomic Survey of the Human Parasite Leishmania major Focusing on Changes in Null Mutants of the Golgi GDP-Mannose/Fucose/Arabinopyranose Transporter
LPG2
and of the Mitochondrial Fucosyltransferase
FUT1
Authors: Polanco Gloria , Scott Nichollas E. , Lye Lon F. , Beverley Stephen M.
Published: November 2022

Leishmania
is a widespread trypanosomatid protozoan parasite of humans, with ~12 million cases currently, ranging from mild to fatal, and hundreds of millions asymptomatically infected. This work advances knowledge of the experimental proteome by nearly 2-fold, to more than 6,500 proteins and thus provides a great resource to investigators seeking to decode how this parasite is transmitted and causes disease and to identify new targets for therapeutic intervention.
New Insight into the Role of AhR in Lung Carcinogenesis
Authors: Akhmetova Dinara A. , Kozlov Vadim V. , Gulyaeva Ludmila F.
Published: November 2022

Lung cancer (LC), one of the most common malignant neoplasms, is the leading cause of high cancer mortality worldwide. Smoking is a risk factor for almost all histological types of LC. Benzo[a]pyrene (BaP), one of the main constituents of tobacco smoke, can cause cancer. It has been established that its toxic effects can develop in the following ways: genotoxic (formation of adducts with DNA) and non-genotoxic or epigenetic. The latter is less known, although it is known that BaP activates aryl hydrocarbon receptor (AhR), which regulate transcription of many target genes, including microRNAs, which can lead to initiation and enhancement of the malignant cell transformation. Recent studies are evaluating the role of AhR in the regulation of immune checkpoints, as cigarette smoke and BaP induce the AhR-regulated expression of PD-L1 (CD274) in lung epithelial cells in vitro and in vivo. In addition, kynurenine (a metabolite of tryptophan) has been found to stimulate the PD-1 (CD279) expression in cytotoxic T cells by activating AhR. Recent studies confirm great importance of AhR expressed in malignant cells for suppression of antitumor immunity. All this makes us rethink the role of AhR in lung carcinogenesis and investigate the mechanisms of its activation by exogenous and endogenous ligands. This review highlights the current understanding of the functional features of AhR and its role in the LC pathogenesis.
Measuring the burden of comorbidity for ischaemic heart disease and four common non-communicable diseases in Iran, 1990–2017: a modelling study based on global burden of diseases data
Authors: Mansourian Marjan , Ghasemi Khojasteh , Haghdoost AliAkbar , Kopec Jacek A , Sarrafzadegan Nizal , Islam Sheikh Mohammed Shariful
Published: November 2022

Objective

This modelling study aimed to estimate the comorbidity burden for four common non-communicable diseases with ischaemic heart diseases (IHD) in Iran during a period of 28 years.

Design

Analysis of the burden of comorbidity with IHD based on data included prevalence rates and the disability weight (DW) average for calculating years lived with disability (YLDs) from the Iran population based on the Global Burden of Disease (GBD) study.

Setting

Population-based available data in GBD 2017 study of Iran population.

Participant

The source of data was the GBD 2017 Study. We evaluated IHD, major depressive disorder (MDD), diabetes mellitus (DM), ischaemic stroke (IS), and osteoarthritis (OA) age-standardised prevalence rates and their DW.

Main outcome measures

A new formula that modified the GBD calculator was used to measure the comorbidity YLDs. In the new formula, some multipliers were considered, measuring the departure from independence.

Result

The contribution of total comorbidity for each combination of IHD with DM, MDD, IS and OA was 2.5%, 2.0%, 1.6% and 2.9%, respectively. The highest YLD rates were observed for IHD_MDD, 16.5 in 1990 and 17.0 in 2017. This was followed by IHD_DM, from 11.5 to 16.9 per 100 000. The YLD rates for IHD_OA changed slightly (6.5–6.7) per 100 000, whereas there was a gradual reduction in the trends of IHD-IS, from 4.0–4.5 per 100 000.

Conclusion

Of the four comorbidities studied, the highest burden was due to the coexistence of MDD with IHD. Our results highlight the importance of addressing the burden of comorbidities when studying the burden of IHD or any other non-communicable disease.
Nutritional risk factors for all-cause mortality of critically ill patients: a retrospective cohort study
Authors: Wang Jine , Zheng Nan , Chang Xinyi , Qian Huitao , Han Yi
Published: November 2022

Objectives

This study aimed to explore the predictive value of single and multiple risk factors for the clinical outcomes of critically ill patients receiving enteral nutrition and to establish an effective evaluation model.

Design

Retrospective cohort study.

Setting

Data from the 2020–2021 period were collected from the electronic records of the First Affiliated Hospital, Nanjing Medical University.

Participants

459 critically ill patients with enteral nutrition in the geriatric intensive care unit were included in the study.

Primary and secondary outcome measures

The primary outcome was 28-day mortality. The secondary outcomes were 28-day invasive mechanical ventilation time, intensive care unit stay, Nutrition Risk Screening 2002 (NRS2002) score and Acute Physiology and Chronic Health Evaluation II (APACHE II) score.

Results

Independent prognostic factors, including prealbumin/procalcitonin (PCT) ratio and APACHE II score, were identified using a logistic regression model and used in the nomogram. The area under the receiver operating characteristic curve and concordance index indicated that the predictive capacity of the model was 0.753. Moreover, both the prealbumin/PCT ratio and the combination model of PCT, prealbumin and NRS2002 had a higher predictive value for clinical outcomes. Subgroup analysis also identified that a higher inflammatory state (PCT >0.5 ng/mL) and major nutritional risk (NRS2002 >3) led to worse clinical outcomes. In addition, patients on whole protein formulae bore less nutritional risk than those on short peptide formulae.

Conclusions

This nomogram had a good predictive value for 28-day mortality in critically ill patients receiving enteral nutrition. Both the prealbumin/PCT ratio and the combination model (PCT, prealbumin and NRS2002), as composite models of inflammation and nutrition, could better predict the prognosis of critically ill patients.
The association between housing cost burden and avoidable mortality in wealthy countries: cross-national analysis of social and housing policies, 2000-2017
Authors: Park Gum-Ryeong , Grignon Michel , Young Marisa , Dunn James R
Published: November 2022

Background

It has been shown that the high cost of housing can be detrimental to individual health. However, it is unknown (1) whether high housing costs pose a threat to population health and (2) whether and how social policies moderate the link between housing cost burden and mortality. This study aims to reduce these knowledge gaps.

Methods

Country-level panel data from Organisation for Economic Co-operation and Development (OECD) countries are used. Housing cost to income ratio and age-standardised mortality were obtained from the OECD database. Fixed effects models were conducted to estimate the extent to which the housing cost to income ratio was associated with preventable mortality, treatable mortality, and suicides. In order to assess the moderating effects of social and housing policies, different types of social spending per capita as well as housing policies were taken into account.

Results

Housing cost to income ratio was significantly associated with preventable mortality, treatable mortality, and suicide during the post-global financial crisis (2009–2017) but not during the pre-global financial crisis (2000–2008). Social spending on pensions and unemployment benefits decreased the levels of mortality rate associated with housing cost burden. In countries with higher levels of social housing stock, the link between housing cost burden and mortality was attenuated. Similar patterns were examined for countries with rent control.

Conclusion

Our findings suggest that housing cost burden can be related to population health. Future studies should examine the role of protective measures that alleviate health problems caused by housing cost burden.
Neurostimulation in the patient with chronic pain: forecasting the future with data from the present – data-driven analysis or just dreams?
Authors: De Andres Jose
Published: November 2022

Chronic pain involves a structured and individualized development of neurophysiological and biological responses. The final expression in each patient correlates with diverse expressions of mediators and activations of different transmission and modulation pathways, as well as alterations in the structure and function of the brain, all of which develop according to the pain phenotype. Still today, the selection process for the ideal candidate for spinal cord stimulation (SCS) is based on results from test and functional variables analysis as well as pain evaluation. In addition to the difficulties in the initial selection of patients and the predictive analysis of the test phase, which undoubtedly impact on the results in the middle and long term, the rate of explants is one of the most important concerns, in the analysis of suitability of implanted candidates. A potential for useful integration of genome analysis and lymphocyte expression in the daily practice of neurostimulation, for pain management is presented. Structural and functional quantitative information provided by imaging biomarkers will allow establishing a clinical decision support system that improve the effectiveness of the SCS implantation, optimizing human, economic and psychological resources. A correct programming of the neurostimulator, as well as other factors associated with the choice of leads and their position in the epidural space, are the critical factors for the effectiveness of the therapy. Using a model of SCS based on mathematical methods and computational simulation, the effect of different factors of influence on clinical practice studied, as several configurations of electrodes, position of these, and programming of polarities, in order to draw conclusions of clinical utility in neuroestimulation therapy.
Endothelin A receptors contribute to senescence of brain microvascular endothelial cells
Authors: Abdul Yasir , Karakaya Eda , Chandran Raghavendar , Jamil Sarah , Ergul Adviye
Published: November 2022

Cellular senescence plays a pivotal role in the aging and progression of neurodegenerative diseases, including vascular cognitive impairment and dementia (VCID). In postmortem brains from individuals with VCID, endothelin-1 (ET-1) levels closely correlate with blood barrier breakdown and cerebral hypoperfusion. Brain microvascular endothelial cells (BMVECs), previously thought to have exclusively endothelin B receptors, also possess endothelin A (ETA) receptors; however, the functional significance of this receptor in BMVECs is not known. We hypothesize that ETA receptors mediate BMVEC senescence. Serum-starved human BMVECs (HBEC5i) were incubated with ET-1 (1 µmol/L) in the presence/absence of ETA receptor antagonist BQ-123 (20 µmol/L). Cells were collected for Western blot and quantitative real-time PCR analyses. Treatment of ET-1 increased protein expression of ETA receptor, while it was prevented by the ETA receptor antagonist. ET-1 increased p21, p16, p53, LIF1 and cyclin D1 protein levels, and β-galactosidase accumulation, which were prevented in the presence of ETA blockade. While there was no change in tight junction proteins, ET-1 decreased adherent junction protein vascular endothelial cadherin (VE-cadherin) levels. In conclusion, ET-1 upregulates ETA receptors in BMVECs in an autocrine manner and triggers the activation of senescence. These in vitro findings need to be further studied in vivo to establish the role of ETA receptors in the progression of endothelial senescence in VCID.
Color confinement, chiral symmetry breaking, and catalytic effect induced by monopole and instanton creations
Authors: Hasegawa Masayasu
Published: November 2022

Our research reveals the relations among monopoles, color confinement, instantons, and chiral symmetry breaking which experiments can detect, by numerical calculations of lattice gauge theory. We first add a monopole and an anti-monopole varying their magnetic charges to the gauge field configurations in the quenched approximation of quantum chromodynamics, by applying the monopole creation operator and investigate the effects of the added monopoles and anti-monopoles on color confinement. Second, we reveal the quantitative relations among instantons, anti-instantons, and observables using the eigenvalues and eigenvectors of the overlap Dirac operator, which are calculated using the normal configurations and the configurations with the additional monopoles and anti-monopoles. Finally, we ascertain the outcomes by comparing them with the predictions. We have already discovered the catalytic effect: the decay width of the charged pion becomes wider and its lifetime becomes shorter than the experimental outcomes by increasing the number density of instantons and anti-instantons. However, the outcomes in the previous study were obtained using one lattice volume and lattice spacing. In this research, we improve the previous study using a variety of configurations of different lattice volumes and values of the lattice spacing from low to finite temperatures. The main purposes of this study are to inspect the influences of the finite lattice volume and discretization on the observables and quantitative relations that we have obtained in our previous research and to acquire the interpolated results at the continuum limit.
Light-front wavefunctions of mesons by design
Authors: Li Meijian , Li Yang , Chen Guangyao , Lappi Tuomas , Vary James P.
Published: November 2022

We develop a mechanism to build the light-front wavefunctions (LFWFs) of meson bound states on a small-sized basis function representation. Unlike in a standard Hamiltonian formalism, the Hamiltonian in this method is implicit, and the information of the system is carried directly by the functional form and adjustable parameters of the LFWFs. In this work, we model the LFWFs for four charmonium states, $$\eta _c$$

η
c

, $$J/\psi $$

J
/
ψ

, $$\psi '$$

ψ
′

, and $$\psi (3770)$$

ψ
(
3770
)

as superpositions of orthonormal basis functions. We choose the basis functions as eigenfunctions of an effective Hamiltonian, which has a longitudinal confining potential in addition to the transverse confining potential from light-front holographic QCD. We determine the basis function parameters and superposition coefficients by employing both guidance from the nonrelativistic description of the meson states and the experimental measurements of the meson decay widths. With the obtained wavefunctions, we study the features of those meson states, including charge radii and parton distribution functions. We use the $$J/\psi $$

J
/
ψ

LFWF to calculate the meson production in diffractive deep inelastic scattering and ultra-peripheral heavy-ion collisions, and the $$\eta _c$$

η
c

LFWF to calculate its diphoton transition form factor. Both results show good agreement with experiments. The obtained LFWFs have simple-functional forms and can be readily used to predict additional experimental observables.
The Lp-regularity properties of nonlocal wave equations and applications
Authors: Shakhmurov Veli B.
Published: November 2022

In this paper, the Cauchy problem for linear and nonlinear wave equations is studied. The equation involves abstract operator [Formula: see text] in a Banach space [Formula: see text] and convolution terms. Here, assuming enough smoothness on the initial data and on coefficients, the existence, uniqueness and regularity properties of local and global solutions are established in terms of fractional powers of a given sectorial operator [Formula: see text]. We obtain the regularity properties of a wide class of wave equations by choosing the space [Formula: see text] and the operator [Formula: see text] which appear in the field of physics.
The Integration of Hadoop and a Smart Utility Scoring with a Case-Based Reasoning System for Managing Large and Complex Medical Case Base
Authors: Sharma Seema , Mehrotra Deepti , Saoud Narjès Bellamine Ben
Published: November 2022

In case-based reasoning structure, the quality and the complexity of the case data play a significant role in searching, retrieving, updating, and holding distinct case data at or from distinct databases for various purposes. However, managing the very complex and large case-data sets is not easy. Furthermore, the complex algorithm for maintaining case-based reasoning (CBR) structure makes it more critical and increases the time complexity considerably when the dataset is large and complex. Consequently, distinct available techniques related to the maintenance of the CBR system concentrate on deleting the less important and very complex case data to reduce the number of cases. At the same time, it reduces the efficiency and effectiveness of handling the CBR system. Hence, this research employs an integrated platform with the combination of the Hadoop parallel platform and an intelligent utility scoring mechanism. The smart indexing system and the parallel processing capacity of Hadoop reduce the time complexity for processing large and complex datasets. The distributed storage capability effectively manages the data repository and retrieval system for enormous case datasets without compromising case data. The intelligent utility scoring system employs supervised learning and a unique CBR system to quickly and efficiently retrieve the effective solution for each particular case. Furthermore, Hadoop offers a distributed structure that helps the user to access the case data and update the database through the network. This research uses distinct healthcare text-based datasets for testing the performances of the proposed integrated technique in different aspects. The experimental results show the superiorities in producing a higher percentage of accuracy with consuming less Retrieval time over other related techniques. It further shows its time efficiency by offering higher throughput and lower Cyclomatic Complexity with lower read and write Latency Times. Finally, the performances of the proposed technique in these various aspects have been compared with distinct existing techniques and the performances of various databases in managing large and complex medical data to establish its superiority over them.
The Influence of Personality, Entrepreneurship Curriculum, Entrepreneurship Knowledge, and Attitude on Entrepreneurship Intention with Social Support as Mediation
Authors: Iriani Sri Setyo
Published: November 2022

The purpose of this research was to analyse the influence of student’s personality, entrepreneurship curriculum, entrepreneurship knowledge, and student’s attitude on entrepreneurship intentions of FE Unesa management department students with social support as mediator. This research was descriptive quantitative using structural equation model (SEM). This research was conducted in Faculty of Economics, State University of Surabaya (Unesa). The approach and design in this study examined the variables of personality, entrepreneurship curriculum, entrepreneurship knowledge, attitude, social support and entrepreneurship intention in the students of class of 2012 in the Department of Management of Faculty of Economics, Unesa. The population in this study was all students who were active in the Department of Management of Faculty of Economics of Unesa, in the class of 2012. Partially, personality, entrepreneurship curriculum, and entrepreneurship knowledge had influence to social support, and entrepreneurship intention to the students of class of 2012 in the Department of Management of Faculty of Economics of Unesa. This research was a small part of previous studies on entrepreneurial intentions in students. The entrepreneurship intention of a student while they were still a student and after graduation had been studied previously, influenced by the personality variable. Other studies also showed the entrepreneurial intentions of a student influenced the role of entrepreneurial learning on campus, both formally and in the form of courses. The originality of this research is the use of social support as the mediation variable.
Biomass-Derived Mesoporous Nanoarchitectonics with Magnetic MoS2 and Activated Carbon for Enhanced Adsorption of Industrial Cationic Dye and Tetracycline Contaminants
Authors: Ren Zongli , Yang Xuan , Ye Baogui , Zhang Weiwei , Zhao Zhongwei
Published: November 2022

Discharging industrial wastewater containing dyes and antibiotics will irreversibly damage the overall environment and human health and prosperity. In this study, magnetic Fe3O4 and MoS2 were loaded on biomass activated carbon (BAC) using co-precipitation and hydrothermal methods, respectively, to obtain MoS2 functionalized magnetic biomass activated carbon (MoS2-mBAC), which was used to remove tetracycline hydrochloride (TC) and crystal violet (CV) in wastewater. A series of characterization methods such as SEM, TEM, FT-IR, XRD, VSM and BET were used. The results showed that MoS2-mBAC has abundant oxygen-containing functional groups, high magnetic properties, large specific surface area (984.05[Formula: see text]cm2/g), and MoS2 nanoflowers with a graphene-like structure. Moreover, the whole adsorption process was endothermic, which can be well fitted by pseudo-second-order kinetic and Langmuir model. The maximum adsorption capacity for TC and CV at the optimum pH reached 286.53[Formula: see text]mg/g and 568.18[Formula: see text]mg/g. Compared to BAC and mBAC, the adsorption performance of MoS2-mBAC was greatly improved. After five cycles, the removal rate was still high. MoS2-mBAC has broad application prospects in wastewater treatment due to its unique advantages, such as wide source, simple process, good performance and high economical availability.
Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal
Authors: Zhang Ling , Long Chengjiang , Zhang Xiaolong , Xiao Chunxia
Published: November 2022

Residual image and illumination estimation have been proven to be helpful for image enhancement. In this article, we propose a general framework, called RI-GAN, that exploits residual and illumination using generative adversarial networks (GANs). The proposed framework detects and removes shadows in a coarse-to-fine fashion. At the coarse stage, we employ three generators to produce a coarse shadow-removal result, a residual image, and an inverse illumination map. We also incorporate two indirect shadow-removal images via the residual image and the inverse illumination map. With the residual image, the illumination map, and the two indirect shadow-removal images as auxiliary information, the refinement stage estimates a shadow mask to identify shadow regions in the image, and then refines the coarse shadow-removal result to the fine shadow-free image. We introduce a cross-encoding module to the refinement generator, in which the use of feature-crossing can provide additional details to promote the shadow mask and the high-quality shadow-removal result. In addition, we apply data augmentation to the discriminator to reduce the dependence between representations of the discriminator and the quality of the predicted image. Experiments for shadow detection and shadow removal demonstrate that our method outperforms state-of-the-art methods. Furthermore, RI-GAN exhibits good performance in terms of image dehazing, rain removal, and highlight removal, demonstrating the effectiveness and flexibility of the proposed framework.
Data Breaches
Authors: Aivazpour Zahra , Valecha Rohit , Chakraborty Rajarshi
Published: November 2022

Recent events have shown that online booking is vulnerable to hacking incidents such as data breaches. The primary purpose of this study is to investigate the effect of the risky decision-making factors on consumer post breach behavior. After a data breach, most of the companies offer monitoring services to restore customer trust and encourage them for future purchases. However, little research has been done to understand the impact of these monitoring services on consumer behavior. In this study, we examine whether monitoring services can mitigate the impact of risk perception on online booking. We utilized the Marriott data breach of November 2018 as the context. We manipulate data breach severity in our vignettes. The research model was tested using data gathered from 298 Mechanical Turk respondents. Our vignette-based survey design allowed us to incorporate situational details thought to be important in risky decision-making in a data breach context. We found strong support for our research model including the positive moderating effect of company suggested monitoring on online booking intention. The findings of this study could help firms in developing more influential post-breach monitoring services.
Windows into stress: a glimpse at emerging roles for CRHPVN neurons
Authors: Rasiah Neilen P. , Loewen Spencer P. , Bains Jaideep S.
Published: November 2022

The corticotropin-releasing hormone cells in the paraventricular nucleus of the hypothalamus (CRHPVN) control the slow endocrine response to stress. The synapses on these cells are exquisitely sensitive to acute stress, leveraging local signals to leave a lasting imprint on this system. Additionally, recent work indicates that these cells also play key roles in the control of distinct stress and survival behaviors. Here we review these observations and provide a perspective on the role of CRHPVN neurons as integrative and malleable hubs for behavioral, physiological, and endocrine responses to stress.
Study on Mechanical Response and Stability Algorithm of Soft and Hard Rock Interbedded Slope Excavation
Authors: Ren Qingyang , Meng Xin
Published: November 2022

Based on the actual engineering geological survey, the mechanical response mechanism and sliding surface characteristics of the interbedded slope containing six layers of soft and hard rock during excavation under heavy rain conditions are studied by numerical simulation, and the composite sliding surface stability algorithm of the layered slope is established by using the penalty function. The research shows that, during the excavation, the distribution characteristics of stress, strain, plastic zone, and horizontal displacement along the bedding plane are obvious; the stress is concentrated in the hard rock layer; however, the strain and plastic zone are concentrated in the soft rock layer. When the ratio of the maximum vertical displacement to the maximum horizontal displacement is less than 1.85, the slope will slide. According to the relative position of the soft rock layer and the toe of the slope, the sliding surface of soft and hard rock interbedded slope can be divided into two types, namely, circular‐straight sliding surface and circular‐straight‐circular sliding surface. The verification shows that the composite sliding surface algorithm objectively reflects the destruction of the slope by bedding sliding and can reasonably evaluate the safety of soft and hard rock interbedded slope.
Identification of Continuous-Time Systems with Multiple Unknown Time Delays from Sampled Data
Authors: Ghoul Yamna , Zitouni Naoufel , Ibn Taarit Kaouther , Ksouri Moufida
Published: November 2022

The purpose of this work is to identify a multiple-input single-output (MISO) continuous time (CT) system with various unknown time delays using sampled data. A novel technique for simultaneously estimating system parameters and various time delays may be developed using a gradient algorithm. Indeed, we propose a new formulation of the identification problem which permits defining the generalized vector containing the time delays and the dynamic parameters. The gradient optimization algorithm with exact derivatives of the objective function with respect to the adjustable parameters has been suggested as an alternative for solving this optimization problem. The identification method can be easily implemented by a filtering procedure to generate the input/output time derivatives. In this sense, the proposed method, which is based on a state variable filter, intrinsically allows data filtering and thus simplifies the use of the method in a practical case. An analysis is then presented which proves the convergence of the algorithm, and robustness issues are discussed as well. Finally, the suggested technique is evaluated on simulated instances to ensure its validity and performance.
Reliability and Reliability Sensitivity Analysis of Rolling Bearings Based on Contact Fatigue under Finite Probability Information
Authors: Wang Xianming , Zhou Aorong , Zhang Tianxiao
Published: November 2022

The probability information of random variables is frequently finite in the rolling bearing contact fatigue reliability design process, making it impossible to calculate the reliability index or rolling bearing reliability accurately. In this study, the dynamic model of rolling bearings is established, the Box–Behnken design and the response surface method are combined to obtain the mapping relationship between random variables, and the rolling bearing reliability design model is established with the strength obeying gamma process. The transient reliability, cumulative reliability, and reliability sensitivity analysis methods based on contact fatigue under finite probability information are used to calculate the change law and size order of the rolling bearing reliability affected by the change of each basic random variable. Finally, we apply this research method to analyse the reliability of a certain type of angular contact ball bearing compared with the Monte Carlo simulation method. This demonstrates that the method presented in this study is correct and effective.
Cultivation of Lovage under Exposure of Light-Emitting Diode Illumination and Analysis of Rutin Produced by High Performance Liquid Chromatography (HPLC) and Ultraviolet-Visible Spectroscopy (UV-Vis)
Authors: Wack Holger , Somborn Annette , Schlehuber Dennis , Deckert Stephan , Keuter Volkmar
Published: November 2022

To meet the requirements of a sustainable agricultural economy such as quality, resource conservation, and efficiency, the interaction between the cultivation parameters of plants and the resulting plant ingredients are becoming more and more interesting, especially regarding secondary metabolites. Therefore, the cultivation of lovage under the influence of light-emitting diode illumination and controlled environment conditions was studied and data on the rutin concentrations obtained are presented. Different extraction agents and processes were tested for the treatment of the leaves and the rutin was analyzed using high performance liquid chromatography (HPLC) and ultraviolet-visible spectroscopy (UV-Vis spectroscopy). UV-Vis spectroscopy was found to provide a simple and rapid method of predicting the rutin concentration. The significant parameter regarding the rutin concentration obtained was light intensity and overall rutin concentrations in the range of 17,005 mg to 34,759 mg of rutin per kg dry leaves were found.
Severe Inflammation Caused by Coinfection of PCV2 and Glaesserella parasuis Is Associated with Pyroptosis via Noncanonical Inflammasome Pathway
Authors: An Jiahui , Zhang Chao , Cai Jinshuang , Li Yufeng
Published: November 2022

Coinfections of porcine circovirus type 2 (PCV2) and Glaesserella parasuis (G. parasuis) are widely existing in the swine industry worldwide. However, the mechanisms for this coinfection remain unclear. The aim of this study is to assess whether the coinfection PCV2 and G. parasuis would affect the inflammatory response and related mechanisms. In this study, BALB/c mice and RAW264.7 cells were used to study the inflammation and related mechanism caused by the coinfection of PCV2 and G. parasuis. Coinfection with PCV2 and G. parasuis significantly increased the mortality of mice and led to the development of more severe lung and spleen lesions compared with single agent infection. Especially, coinfection significantly increased the bacterial loads in the lungs. Coinfection with PCV2 and G. parasuis can enhance RAW264.7 cell phagocytosis and elimination to G. parasuis. Cell death rate of cells increased in coinfection was measured with Flow cytometry. Moreover, coinfection led to the downregulation of the expression of TNFα and IL-8 in comparison with G. parasuis infection, but the maturation of interleukin-1β (IL-1β) was significantly upregulated. Our study firstly revealed that coinfection of PCV2 and G. parasuis can increase the phagocytosis of cells to G. parasuis, and LPS in the cytoplasm will induce the maturation of caspase-11 and lead to the cleavage of Gasdermin D (GSDMD) to cause pyroptosis by noncanonical pathway. The revealing of mechanisms associated with coinfection with PCV2 and G. parasuis will provide a scientific basis for investigating the synergistic infection mechanisms between viruses and bacteria.
Financial Futures Prediction Using Fuzzy Rough Set and Synthetic Minority Oversampling Technique
Authors: Deng Shangkun , Zhu Yingke , Liu Ruijie , Xu Wanyu
Published: November 2022

In this research, a novel approach called SMOTE-FRS is proposed for movement prediction and trading simulation of the Chinese Stock Index 300 (CSI300) futures, which is the most crucial financial futures in the Chinese A-share market. First, the SMOTE- (Synthetic Minority Oversampling Technique-) based method is employed to address the sample unbalance problem by oversampling the minority class and undersampling the majority class of the futures price change. Then, the FRS- (fuzzy rough set-) based method, as an efficient tool for analyzing complex and nonlinear information with high noise and uncertainty of financial time series, is adopted for the price change multiclassification of the CSI300 futures. Next, based on the multiclassification results of the futures price movement, a trading strategy is developed to execute a one-year simulated trading for an out-of-sample test of the trained model. From the experimental results, it is found that the proposed method averagely yielded an accumulated return of 6.36%, a F1-measure of 65.94%, and a hit ratio of 62.39% in the four testing periods, indicating that the proposed method is more accurate and more profitable than the benchmarks. Therefore, the proposed method could be applied by the market participants as an alternative prediction and trading system to forecast and trade in the Chinese financial futures market.
The Periodic Solutions of a Class of Difference Equations
Authors: Wang Qi , You Weiling , Zhang Gengrong
Published: November 2022

In this paper, we study the periodic solutions of a class of difference equations and give a necessary and sufficient condition under which the nonnegative solutions of the equation converge to a 2k‐periodic solution by using relevant theoretical knowledge such as upper and lower limits and congruence. Finally, the theoretical results are verified by numerical simulation. The method used in this paper provides an idea for the study of high periodic solutions.