bluuebunny/crossref_metadata_2025 huggingface dataset:
Different venous approaches for implantation of cardiac electronic devices. A network meta‐analysis
Authors: Anagnostopoulos Ioannis , Kossyvakis Charalampos , Kousta Maria , Verikokkou Christina , Lakka Eleni , Karakanas Asterios , Deftereos Gerasimos , Spanou Polixeni , Giotaki Sotiria , Vrachatis Dimitrios , Avramidis Dimitrios , Deftereos Spyridon , Giannopoulos Georgios
Published: May 2022

Objectives

Many of the complications arising from cardiac device implantation are associated to the venous access used for lead placement. Previous analyses reported that cephalic vein cutdown (CVC) is safer but less effective than subclavian vein puncture (SVP). However, comparisons between these techniques and axillary vein puncture (AVP) – guided either by ultrasound or fluoroscopy – are lacking. Thus, we aimed to compare safety and efficacy of these approaches.

Methods

We searched for articles assessing at least two different approaches regarding the incidence of pneumothorax and/or lead failure (LF). When available, bleeding and infectious complications as well as procedural success were analyzed. A frequentist random effects network meta‐analysis model was adopted.

Results

Thirty‐six studies were analyzed. Most articles assessed SVP versus CVC. Compared to SVP, both CVC and AVP were associated with reduced odds of pneumothorax (OR: 0.193, 95%CI: 0.136–0.275 and OR: 0.128, 95%CI: 0.050–0.329; respectively) and LF (OR: 0.63, 95%CI: 0.406–0.976 and OR: 0.425, 95%CI: 0.286–0.632; respectively). No significant differences between AVP and CVC were demonstrated. Limited data suggests no major impact of different approaches on infectious and bleeding complications. Initial CVC approach required significantly more often an alternate/additional venous access for lead placement, compared to both AVP and SVP. No differences between these two were identified.

Conclusion

Both AVP and CVC seem to decrease incident pneumothorax and LF, compared to SVP. Initial AVP approach seems to decrease the need of alternate venous access, compared to CVC. These results suggest that AVP should be further clinically tested.
Biological basis and psychiatric symptoms in frontotemporal dementia
Authors: Mori Kohji , Ikeda Manabu
Published: May 2022

Frontotemporal dementia is a neurodegenerative disease characterized by focal degeneration of the frontal and temporal lobes, clinically presenting with disinhibited behavior, personality changes, progressive non‐fluent aphasia and/or impaired semantic memory. Research progress has been made in re‐organizing the clinical concept of frontotemporal dementia and neuropathological classification based on multiple accumulating proteins. Alongside this progress a list of genetic mutations or variants that are causative or increase the risk of frontotemporal dementia have been identified and some of these gene products are extensively studied. However, there are still a lot of points that need to be overcome, including lack of specific diagnostic biomarker which enable antemortem diagnosis of underlying neurodegenerative process, and lack of disease modifying therapy which could prevent disease progression. Early and precise diagnosis of frontotemporal dementia is urgently required. In this context, how to define prodromal frontotemporal dementia and early differential diagnosis from primary psychiatric disorders are also important issues. In this review we will summarize and discuss current understanding of biological basis and psychiatric symptoms in frontotemporal dementia.
Effect of calving to timed artificial insemination interval on fertility of beef cows
Authors: Tomazi Filho Juarez , Machado Pfeifer Luiz Francisco , Hoefle Clério Antônio , Farias Rodrigues Murilo , Ferreira Rogério
Published: May 2022

The objectives of this study were to determine the effect of calving to timed artificial insemination (C‐TAI) interval on fertility of Bos taurus and Bos indicus cows and to determine the best C‐TAI interval to include postpartum cows in TAI programs in each genotype (B. taurus and B. indicus). In experiment 1, a retrospective study was performed, with data from 2,709 TAI in Bos taurus and Bos indicus cows with different C‐TAI intervals. There was a positive linear effect of C‐TAI interval on the pregnancy probability (p < .0001). However, there was no effect or interaction with the genotype. When C‐TAI intervals were grouped in classes, pregnancy rate differed in groups (p < .05). Receiver operating characteristic (ROC) analysis was performed, and it was observed that 52 days would be the better C‐TAI interval to maximize fertility in beef cows. According to the previous result, we further stratified into two C‐TAI interval groups (≤ 52 days or > 52 days). Cows with C‐TAI longer than 52 days (C‐TAI > 52) had greater pregnancy rate (56%) than cows with short C‐TAI (46%; p < .01). In experiment 2, 18 postpartum beef cows were subjected to TAI protocol at different C‐TAI intervals (n = 6 cows per group): 40, 60 or 80 days postpartum. Cows with 60 days of C‐TAI had a greater preovulatory follicle diameter than cows with 80 days postpartum (p < .05). The C‐TAI interval did not affect (p > .05) the ovulation rate nor the proportion of endometrial polymorphonuclear leucocytes. We conclude that C‐TAI interval affects pregnancy rate in both Bos taurus and Bos indicus. We recommend a C‐TAI interval longer than 52 days to increase fertility of beef cows included in TAI programs.
Retracted: Internal procedures of the risk‐oriented lending process in the bank
Authors: Ushanov Alexander E.
Published: May 2022

Information about the financial condition of financial institutions is the basis for assessing the risk of their lending. In the conditions of economic instability, the validity and effectiveness of management decisions significantly depend on the quality of financial and analytical calculations. To take into account, the specifics of the activities of various types of financial institutions when assessing the risk of their lending, the author put forward a hypothesis about the advisability of clarifying the composition of indicators used to assess the creditworthiness of borrowers. The analysis of the creditworthiness of financial companies and credit unions has been carried out. It was found that, during 2020–2021, no financial institution had the highest creditworthiness; at the same time, financial companies were more capable of meeting loan obligations than credit unions. A system of quantitative and qualitative indicators has been formed using correlation and factor analysis to assess the risk of lending to the activities of financial companies and credit unions. Certain indicators are suitable for integral assessment, and, therefore, create the basis for improving the methodological approach to assessing the risk of lending to financial institutions.
A primer on simple measures of association taught at undergraduate level
Authors: Allison James S. , Santana Leonard , (Jaco) Visagie I. J. H.
Published: May 2022

This article discusses and contrasts the measures of association introduced by Pearson, Spearman, and Kendall, as these are the three most commonly used in practice and also the ones primarily covered in introductory statistics courses. Emphasis is placed on concepts pertaining to the measurement of the level of association between two variables, the calculation of the coefficients, and the interpretation of the calculated values. In particular, we demonstrate how Spearman's rho and Kendall's tau can be expressed in terms of Pearson's correlation coefficient based on transformed data. Important concepts and potential pitfalls are illustrated using numerical examples.
The development of statistical literacy among students: Analyzing messages in media articles with Gal's worry questions
Authors: Delport Danri Hester
Published: May 2022

Real‐world data are fundamental to modern teaching methodologies that aim to improve statistical knowledge and reasoning in students. Statistical information is encountered in everyday life, such as media articles and involves real‐world contexts. However, information could be biased or (mis)represented and students should be concerned about the validity of such articles, as well as the nature and trustworthiness of the evidence presented, while considering alternative interpretations of the findings conveyed to them. Statistics educators could make use of media articles to create opportunities for students to reflect on such (mis)representations and build statistical literacy. The purpose of this article is to show how information and data on the Omicron COVID‐19 variant have been (mis)represented in the media and by government entities. I also demonstrate how these examples may be utilized in the statistics classroom as they relate to concepts covered in most basic statistics courses.
Balloon catheter as an extraction device for caudal vena cava adrenal tumor thrombectomy in a dog: A case report
Authors: Young Kenneth M. , Stanley Bryden J. , Degner Daniel A.
Published: May 2022

Objective

To report the use of a balloon catheter as an extraction device for a posthepatic caval thrombus in a dog with a right adrenal tumor.

Animals

Twelve‐year‐old male neutered Chihuahua mix dog.

Study design

Case report

Methods

The dog presented for the evaluation of a hepatic mass. Computed tomography of thorax and abdomen was performed, and a right lateral liver lobe mass and a right adrenal mass were noted. The adrenal mass had a caval thrombus extending almost to the level of the right atrium. Traditional methods of tumor thrombectomy were unsuccessful. Extraction of the thrombus was facilitated by passing a balloon catheter through the caudal vena cavotomy until it was cranial to the thrombus, inflating the balloon and slowly withdrawing the catheter.

Results

A malignant pheochromocytoma was diagnosed on histology. The dog had a subjectively assessed good quality of life until it was euthanized 118 days postoperatively for acute dyspnea.

Conclusion

Balloon catheter‐assisted thrombectomy was successful in removing an extensive caval thrombus that was otherwise difficult to extract via conventional methods. This technique can be considered in cases with extensive tumor thrombus either as a method of choice or when other methods of thrombus extraction have failed.
Investigation on the Pressure Fluctuation Characteristics for a Regenerative Flow Pump Under Different Blade Arrangements
Authors: Li Qian-Qian , Zhu Dong-Sheng , Luo Ming-Hao , Chang Ai-Lian , Wu Peng , Guo Chun-Lin
Published: May 2022

The flow in the regenerative flow pump (RFP) is usually featured by unsteady flow fluctuation and complex interference efficacy. Two pump models with various blade arrangements were investigated in this study to explore the transient flow and the pressure fluctuation characteristics by computational fluids dynamics (CFD) simulation and experimental validation. The results illustrate that the average pressure variation of the impeller and channel across the impeller's rotating direction is in consistence with the mass exchange flow and the circulation number in the pump. Furthermore, the inlet and outlet pressures are analyzed, respectively, in the time and frequency domain, showing that the head coefficient fluctuates periodically with the fluctuating number equal to the blade number. The dominant frequencies of the two pump models are primarily blade passing frequency (BPF) and its harmonics. Additionally, the pressure fluctuation spectrum and the fluctuating amplitude at dominant frequency in each component of RFP are extracted to reveal the effects of the blade arrangement on the pressure fluctuation characteristics, where the fluctuating amplitude in the model with staggered blades was reduced significantly compared to the model with symmetrical blades. This could be attributed to the more uniform distribution of the internal flow, the less stronger pressure fluctuation, and the better modulation pattern of the root-mean-square (RMS) pressure. This work reveals the pressure fluctuation characteristics inside the RFP, and the design approach of increasing the circumferential uniformity could serve as a reference for the pressure fluctuation reduction and vibration and noise improvement of RFPs.
Ray tracing and finite element modeling of sound propagation in a compartment fire
Authors: Abbasi Mustafa Z. , Wilson Preston S. , Ezekoye Ofodike A.
Published: May 2022

A compartment fire (a fire in a room or building) creates temperature gradients and inhomogeneous time-varying temperature, density, and flow fields. This work compared experimental measurements of the room acoustic impulse/frequency response in a room with a fire to numerically modeled responses. The fire is modeled using a Fire Dynamics Simulator (FDS). Acoustic modeling was performed using the temperature field computed by FDS. Room acoustics were modeled using two-dimensional ray and finite element modeling. A three-dimensional model was used to simulate an open flame. COMSOLTM Multiphysics was used for finite element acoustic modeling and BELLHOPTM for ray trace acoustics modeling. The results show that the fire causes wave-fronts to arrive earlier (due to the higher sound speed) and with more variation in the delay times (due to the sound speed perturbations). The resonance frequencies of low-frequency modes were shifted upwards. Model results are compared with data and show good agreement in observed trends.
Study of optical-based speech acquisition system using vibration signals from speakers' medical masks
Authors: Lin Yu-Min , Han Ji-Yan , Zheng Wei-Zhong , Lin Yi-Chieh , Lin Cheng-Hung , Lai Ying-Hui
Published: May 2022

Medical masks have become necessary of late because of the COVID-19 outbreak; however, they tend to attenuate the energy of speech signals and affect speech quality. Therefore, this study proposes an optical-based microphone approach to obtain speech signals from speakers' medical masks. Experimental results showed that the optical-based microphone approach achieved better performance (85.61%) than the two baseline approaches, namely, omnidirectional (24.17%) and directional microphones (31.65%), in the case of long-distance speech and background noise. The results suggest that the optical-based microphone method is a promising approach for acquiring speech from a medical mask.
Recovery mechanisms in the dragonfly righting reflex
Authors: Wang Z. Jane , Melfi James , Leonardo Anthony
Published: May 2022

Insects have evolved sophisticated reflexes to right themselves in mid-air. Their recovery mechanisms involve complex interactions among the physical senses, muscles, body, and wings, and they must obey the laws of flight. We sought to understand the key mechanisms involved in dragonfly righting reflexes and to develop physics-based models for understanding the control strategies of flight maneuvers. Using kinematic analyses, physical modeling, and three-dimensional flight simulations, we found that a dragonfly uses left-right wing pitch asymmetry to roll its body 180 degrees to recover from falling upside down in ~200 milliseconds. Experiments of dragonflies with blocked vision further revealed that this rolling maneuver is initiated by their ocelli and compound eyes. These results suggest a pathway from the dragonfly’s visual system to the muscles regulating wing pitch that underly the recovery. The methods developed here offer quantitative tools for inferring insects’ internal actions from their acrobatics, and are applicable to a broad class of natural and robotic flying systems.
Control of meiotic chromosomal bouquet and germ cell morphogenesis by the zygotene cilium
Authors: Mytlis Avishag , Kumar Vineet , Qiu Tao , Deis Rachael , Hart Neta , Levy Karine , Masek Markus , Shawahny Amal , Ahmad Adam , Eitan Hagai , Nather Farouq , Adar-Levor Shai , Birnbaum Ramon Y. , Elia Natalie , Bachmann-Gagescu Ruxandra , Roy Sudipto , Elkouby Yaniv M.
Published: May 2022

A hallmark of meiosis is chromosomal pairing, which requires telomere tethering and rotation on the nuclear envelope through microtubules, driving chromosome homology searches. Telomere pulling toward the centrosome forms the “zygotene chromosomal bouquet.” Here, we identified the “zygotene cilium” in oocytes. This cilium provides a cable system for the bouquet machinery and extends throughout the germline cyst. Using zebrafish mutants and live manipulations, we demonstrate that the cilium anchors the centrosome to counterbalance telomere pulling. The cilium is essential for bouquet and synaptonemal complex formation, oogenesis, ovarian development, and fertility. Thus, a cilium represents a conserved player in zebrafish and mouse meiosis, which sheds light on reproductive aspects in ciliopathies and suggests that cilia can control chromosomal dynamics.
Observing emergent hydrodynamics in a long-range quantum magnet
Authors: Joshi M. K. , Kranzl F. , Schuckert A. , Lovas I. , Maier C. , Blatt R. , Knap M. , Roos C. F.
Published: May 2022

Identifying universal properties of nonequilibrium quantum states is a major challenge in modern physics. A fascinating prediction is that classical hydrodynamics emerges universally in the evolution of any interacting quantum system. We experimentally probed the quantum dynamics of 51 individually controlled ions, realizing a long-range interacting spin chain. By measuring space-time–resolved correlation functions in an infinite temperature state, we observed a whole family of hydrodynamic universality classes, ranging from normal diffusion to anomalous superdiffusion, that are described by Lévy flights. We extracted the transport coefficients of the hydrodynamic theory, reflecting the microscopic properties of the system. Our observations demonstrate the potential for engineered quantum systems to provide key insights into universal properties of nonequilibrium states of quantum matter.
Cross-tissue immune cell analysis reveals tissue-specific features in humans
Authors: Domínguez Conde C. , Xu C. , Jarvis L. B. , Rainbow D. B. , Wells S. B. , Gomes T. , Howlett S. K. , Suchanek O. , Polanski K. , King H. W. , Mamanova L. , Huang N. , Szabo P. A. , Richardson L. , Bolt L. , Fasouli E. S. , Mahbubani K. T. , Prete M. , Tuck L. , Richoz N. , Tuong Z. K. , Campos L. , Mousa H. S. , Needham E. J. , Pritchard S. , Li T. , Elmentaite R. , Park J. , Rahmani E. , Chen D. , Menon D. K. , Bayraktar O. A. , James L. K. , Meyer K. B. , Yosef N. , Clatworthy M. R. , Sims P. A. , Farber D. L. , Saeb-Parsy K. , Jones J. L. , Teichmann S. A.
Published: May 2022

Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a dataset of ~360,000 cells. To systematically resolve immune cell heterogeneity across tissues, we developed CellTypist, a machine learning tool for rapid and precise cell type annotation. Using this approach, combined with detailed curation, we determined the tissue distribution of finely phenotyped immune cell types, revealing hitherto unappreciated tissue-specific features and clonal architecture of T and B cells. Our multitissue approach lays the foundation for identifying highly resolved immune cell types by leveraging a common reference dataset, tissue-integrated expression analysis, and antigen receptor sequencing.
Noninvasive assessment of gut function using transcriptional recording sentinel cells
Authors: Schmidt Florian , Zimmermann Jakob , Tanna Tanmay , Farouni Rick , Conway Tyrrell , Macpherson Andrew J. , Platt Randall J.
Published: May 2022

Transcriptional recording by CRISPR spacer acquisition from RNA endows engineered
Escherichia coli
with synthetic memory, which through Record-seq reveals transcriptome-scale records. Microbial sentinels that traverse the gastrointestinal tract capture a wide range of genes and pathways that describe interactions with the host, including quantitative shifts in the molecular environment that result from alterations in the host diet, induced inflammation, and microbiome complexity. We demonstrate multiplexed recording using barcoded CRISPR arrays, enabling the reconstruction of transcriptional histories of isogenic bacterial strains in vivo. Record-seq therefore provides a scalable, noninvasive platform for interrogating intestinal and microbial physiology throughout the length of the intestine without manipulations to host physiology and can determine how single microbial genetic differences alter the way in which the microbe adapts to the host intestinal environment.
In Other Journals
Authors: Uzogara Ekeoma , Alderton Gemma , Ash Caroline , Ray L. Bryan , Stajic Jelena , Osborne Ian S. , Smith H. Jesse
Published: May 2022

Editors’ selections from the current scientific literature
Better lipids to power next generation of mRNA vaccines
Authors: Dolgin Elie
Published: May 2022

New delivery systems aim to increase vaccine potency and reduce side effects
Wrestling with bird flu, Europe considers once-taboo vaccines
Authors: Stokstad Erik
Published: May 2022

To lessen the toll of culling, some countries launch vaccine trials despite trade implications and public health risks
‘Hot’ climate models exaggerate Earth impacts
Authors: Voosen Paul
Published: May 2022

U.N. report authors say researchers should avoid suspect models
Gene Amplification of
CYP51B
: a New Mechanism of Resistance to Azole Compounds in Trichophyton indotineae
Authors: Yamada Tsuyoshi , Yaguchi Takashi , Maeda Mari , Alshahni Mohamed Mahdi , Salamin Karine , Guenova Emmanuella , Feuermann Marc , Monod Michel
Published: May 2022

Trichophyton indotineae
causes dermatophytosis that is resistant to terbinafine and azole compounds. The aim of this study was to determine the mechanisms of resistance to itraconazole (ITC) and voriconazole (VRC) in strains of
T. indotineae
.
Genetic Structure and Triazole Antifungal Susceptibilities of Alternaria alternata from Greenhouses in Kunming, China
Authors: Yang Guangzhu , Cui Sai , Ma Nan , Song Yuansha , Ma Jun , Huang Wenjing , Zhang Ying , Xu Jianping
Published: May 2022

Alternaria alternata
is among the most common fungi in our environments, such as indoor facilities, the soil, and outdoor air. It can cause diseases in >100 crop and ornamental plants.
Identifying SARS-CoV-2 Variants of Concern through Saliva-Based RT-qPCR by Targeting Recurrent Mutation Sites
Authors: Ham Rachel E. , Smothers Austin R. , Che Rui , Sell Keegan J. , Peng Congyue Annie , Dean Delphine
Published: May 2022

SARS-CoV-2 variants of concern and their many sublineages can be characterized by mutations present within their genetic sequences. These mutations can provide selective advantages such as increased transmissibility and antibody evasion, which influences public health recommendations such as mask mandates, quarantine requirements, and treatment regimens.
Effects of dietary emulsifier and lipid source on broiler meat quality, lipids, and serum antioxidant status
Authors: Tenório Karine Isabela , Eyng Cinthia , Nunes Ricardo Vianna , Broch Jomara , Rohloff Nilton , de Souza Cleison , Savaris Vaneila Daniele Lenhardt , Polese Clauber
Published: May 2022

This study aimed to evaluate the effects of diets containing acid soybean oil (ASO) as a substitute for degummed soybean oil (DSO), with or without an emulsifier, on the serum lipid composition, antioxidant protection, carcass yield, and meat quality of broilers. Seven hundred and four 1-day-old male chicks were distributed in a 2 × 2 factorial arrangement (with or without emulsifier × two lipid sources—ASO and DSO), with eight replicates. The dietary inclusion of ASO increased by 65.87% the serum activity of the superoxide dismutase at 21 days of age. The inclusion of the emulsifier reduced the tenderloin yield of the birds by 5.22% and the abdominal fat percentage by 10.20% at 49 days of age, interfering with serum low-density lipoprotein and triglyceride. There was an increase in the water-holding capacity, greater yellow intensity ( b*) 15 min post mortem, and lower pH 24 h post mortem for meat from broilers fed diets containing DSO. Meat from broilers fed diets containing ASO with an emulsifier showed lower shear force. The emulsifier did not provide additional metabolizable energy, as reflected by the reduced chicken tenderloin yield. The use of ASO provided better serum antioxidant status, with no deleterious effects on the carcass and meat quality of broilers.
Nonlinear Vibration Movements of the Mid-Supported Micro-Beam
Authors: Akkoca Şevki , Bağdatli Süleyman Murat , Kara Toğun Necla
Published: May 2022

This study analyzes the vibration movements of multi-support micro beams placed in an electrically smooth area using the modified couple stress theory. It has been assumed that the potential voltage that creates the electrical field strength varies harmonically. Large number of experiments in recent years have indicated that classical continuum theory is unable to predict the mechanical behavior of microstructure with small size. However, nonclassical continuum theory should be used to accurately design and analyze the microstructures. Modified couple stress theory models the micro and nanomechanical systems with higher accuracy because they employ additional material parameters to the equation considering size dependent behavior. The most general nonlinear motion equations for multi-support microbeams have been obtained by considering the material size parameter, the number of support and support positions, damping effect, axial stresses, electrical field strength, and nonlinear effects resulting from elongations. The nonlinear equations of motion are obtained according to the Hamilton method using the modified couple stress theory (MCST). The resulting equations of motion are nondimensionalized. In this way, the mathematical model has been made independent of the type and geometric structure of the material. Approximate solutions of the obtained dimensionless motion equation are obtained by the multi-scale method, which is one of the perturbation methods. As a result, an increase occurs in the first mode frequencies ([Formula: see text]) and nonlinear correction effect parameters ([Formula: see text]) with the progress of the center support position gradually towards [Formula: see text] and the increase of the microbeam elasticity coefficient ([Formula: see text]).
Dynamic Response of Transmission Lines Following Ice Shedding via a Three-Dimensional Motion Capture System
Authors: Li Hong-Nan , Wu Yu-Yan , Fu Xing , Du Wen-Long
Published: May 2022

The ice shedding may cause the vibration of conductors, and even threaten the safety of towers in severe cases. Based on two test models with a single span and three spans, an advanced three-dimensional motion capture system, the NDI Optotrak Certus System, is used to measure the dynamic response of the conductor following ice shedding. The influences of the ice thickness, ice-shedding ratio, ice-shedding location, and sequence are investigated. The results show that the ice-shedding velocity significantly impacts the dynamic response of conductors, and a larger ice-shedding velocity leads to a smaller jump height. The conclusions drawn from the model tests can guide the deicing and design of power lines.
Finite groups with Hall normally embedded subgroups
Authors: Guo Qinghong , He Xuanli , Huang Muhong
Published: May 2022

Let [Formula: see text] be a finite group. A subgroup [Formula: see text] of [Formula: see text] is called Hall normally embedded in [Formula: see text] if [Formula: see text] is a Hall subgroup of the normal closure [Formula: see text]. In this paper, we investigate the structure of a finite group [Formula: see text] under the assumption that certain subgroups of prime power order are Hall normally embedded in [Formula: see text].
Ideal containment in commutative rings
Authors: Mimouni Abdeslam
Published: May 2022

Let [Formula: see text] be a commutative ring with identity. An ideal [Formula: see text] of [Formula: see text] is said to be a big ideal (respectively, an upper big ideal) if whenever [Formula: see text] (respectively, [Formula: see text]), [Formula: see text] (respectively, [Formula: see text]) for every [Formula: see text]; and [Formula: see text] itself is a big ideal ring provided that every ideal of [Formula: see text] is a big ideal. In this paper, we study the notions of big ideals, upper big ideals and big ideal rings in different contexts of commutative rings such us integrally closed domains, pullbacks and trivial ring extensions. We show that the notions of big and upper big ideals are completely different. The notion of big ideal is correlated to the notion of basic ideal and the notion of upper big ideal is correlated to the notion of [Formula: see text]-ideals. We give a new characterization of Prüfer domains via big ideal domains and we characterize some particular cases of pullback rings that are big ideal domains. Also, we give some classes of big and upper big ideals in rings with zero-divisors via trivial ring extensions.
Kantowski–Sachs model in non-minimally coupled scalar theory
Authors: Taṣer Dog̃ukan , Dog̃ru Melis Ulu , Aydın Hüseyin
Published: May 2022

In this study, our main purpose is to study a model which is homogenous and anisotropic describing early stage of Universe in non-minimally coupled scalar theory. It is quite interesting to study a model describing early stage in modified theory which is related to scalar field. In this context, we introduced Kantowski–Sachs metric for perfect fluid in non-minimally coupled scalar theory. Exact solution of field equations is attained for [Formula: see text] model. Matter distributions for radiation, cosmic string and cosmological constant are investigated for constructed model. For different selections of arbitrary constants, Kantowski–Sachs model shows three different behaviors related with Hubble parameter and deceleration parameter. Also, some observational parameters, such as luminosity distance, angular diameter distance and distance modulus, are obtained for Kantowski–Sachs Universe. Lastly, we get Statefinder parameters for the model. All properties of constructed model are discussed from a physical and geometric point of view.
Anisotropic effect on barrow holographic dark energy
Authors: Sharma Umesh Kumar , Varshney Gunjan , Dubey Vipin Chandra , Kumar Mukesh
Published: May 2022

In this paper, we investigate a non-interacting model considering a spatially anisotropic and homogeneous Bianchi type-[Formula: see text] Universe, filled with Barrow holographic dark energy (BHDE) and pressureless dark matter. We examine some important cosmological parameters for the evolutionary report and to witness adequate nature in BHDE model as including deceleration parameter, the jerk parameter, equation of state parameter and density parameter. To study more briefly, we diagnose statefinder parameters, [Formula: see text] analysis and explain that the model parameter significantly modifies the evolutionary trajectories in these planes.
An approach to modeling and simulating resiliency in multidisciplinary microservice networks
Authors: Mirzaie Mansooreh , Abadeh Maryam Nooraei
Published: May 2022

Microservice-based software networks consist of a large number of critical, multidisciplinary, and interdependent elements in which the failure of critical microservices will have a destructive effect on the system reliability and resiliency. We overcome this problem by identifying critical microservices that play a vital role and then propose a fault-tolerant candidate for each critical microservice. The approach finds critical microservices based on the proposed parameter-based greedy strategies and analyzes the vulnerability of the software design in terms of resiliency while removing the important microservices from the software network. We examine our proposed microservice architectural style to fit the requirements of a smart city in cloud-native applications using a new metric introduced in terms of a microservice runtime degree (RD) and aggregative importance links. The results show the decline rate of network efficiency is maximum with removing the nodes based on this new structural metric. Furthermore, the resilience loss triangle metric based on RD, which corresponds to the shaded area between the expected and full performance of the observed curves, will have a greater value than other metrics.
Deep learning-based breast cancer disease prediction framework for medical industries
Authors: Priya G. , Radhika A.
Published: May 2022

Breast cancer is one among the dreadful cancer which is caused due to formation in breast cells. Earlier recognition of breast cancer is most required in the medical field to avoid the dangerous threat to human life. This is carried out in the existing work, namely Predictive Modeling Technique (PMT). Existing work cannot handle the database with noises properly which might lead to inaccurate prediction outcome. These problems are addressed by introducing Deep Learning-based Breast Cancer Disease Prediction Framework (DLBCDPF). The proposed research framework objective is to present the structures for the disease diagnosis in a further accurate way. In this work, feature selection is achieved through optimization algorithm, namely ranking-based bee colony approach by which the most optimal feature is chosen from the training dataset. The fitness values considered in this work for optimal feature selection are F-score values. Each feature’s F-score and N numbers of feature’s F-score are arranged in a descending manner; in addition, feature subset with more than one feature are produced. In this phase, diagnosis of various stomach-related problems is done through a unique hybridized classification methodology. In this hybridization methodology, clustering is accomplished before classification, and data pruning is attained in every classification iteration. This leads to improved classification accuracy owing to efficient diagnosis. The clustering is attained by fuzzy C-means clustering, and classification is done using the improved deep neural network. The entire research analysis is carried out in python platform for breast cancer dataset from which it is substantiated that the suggested research work tends to outperform in an enhanced way than prevailing work.
Building the “Arctic Silk Road”: China’s New Project
Authors: Dang Thuy T. , Diem Tran Ngoc , Vu Ngo Van
Published: May 2022

The Arctic is being seen as a hotbed of strategic competition between major powers. In recent years, not only the United States, but also Russia and China have increased their engagement within the Arctic region by the implementation of research surveys, exploration activities, and gradually increased their military presence in order to consolidate influence in the resource-wealthy region (Hân, 2021) [[Formula: see text], May 31, https://www.qdnd.vn/thoi-su-quoc-te/doi-song-quoc-te/suc-nong-cua-bac-cuc-661233 ]. Up to now, China has launched many strategies and related policies for the Arctic region. In the recently announced 14th Five-Year Plan (2021–2025), China emphasizes the importance of the “Polar Silk Road across the Arctic”, seeing it as a component of the “Belt and Road Initiative” (BRI). The Government of China also calls for enterprises to invest in the Arctic Ocean and Antarctica. The paper provides an objective and a multidimensional assessment on the formation and construction of a project known as China’s Polar Silk Road across the Arctic or Arctic Silk Road so that we can better understand this new Chinese ambition.
TCB-spline-based Image Vectorization
Authors: Zhu Haikuan , Cao Juan , Xiao Yanyang , Chen Zhonggui , Zhong Zichun , Zhang Yongjie Jessica
Published: May 2022

Vector image representation methods that can faithfully reconstruct objects and color variations in a raster image are desired in many practical applications. This article presents triangular configuration B-spline (referred to as TCB-spline)-based vector graphics for raster image vectorization. Based on this new representation, an automatic raster image vectorization paradigm is proposed. The proposed framework first detects sharp curvilinear features in the image and constructs knot meshes based on the detected feature lines. It iteratively optimizes color and position of control points and updates the knot meshes. By using collinear knots at feature lines, both smooth and discontinuous color variations can be efficiently modeled by the same set of quadratic TCB-splines. A variational knot mesh generation method is designed to adaptively introduce knots and update their connectivity to satisfy the local reconstruction quality. Experiments and comparisons show that our framework outperforms the existing state-of-the-art methods in providing more faithful reconstruction results. In particular, our method is able to model undetected features and subtle or complicated color variations in-between features, which the previous methods cannot handle efficiently. Our vectorization representation also facilitates a variety of editing operations performed directly over vector images.
Multiparty Dynamic Data Integration Scheme of Industrial Chain Collaboration Platform in Mobile Computing Environment
Authors: Yu Yang , Sun Linfu , Wang Shuhai
Published: May 2022

At present, there are still many problems to be solved in the information interaction between internal platforms of different enterprises and third-party platform, especially the data integration problem between them, specifically mentioning the two aspects of data nonstandardization and difficult data integration. To solve the above problems, this paper proposes a multiparty dynamic data integration scheme for the industrial chain collaboration platform. On the one hand, this scheme builds a standard data classification system from the perspective of the type of data to solve the problem of data irregularity; on the other hand, it builds a multiparty dynamic data integration model based on rules and requests to solve the problem of difficult data integration. This paper verifies the feasibility, flexibility, and rationality of the scheme through case analysis and experimental analysis.
Home Based Monitoring for Smart Health-Care Systems: A Survey
Authors: Anu Shilvya J. , George S. Thomas , Subathra M. S. P. , Manimegalai P. , Mohammed Mazin Abed , Jaber Mustafa Musa , Kazemzadeh Afsaneh , Al-Andoli Mohammed Nasser
Published: May 2022

Internet of Things (IoT) is one of the greatest advancements in technology especially in the medical field. The interconnection of medical devices with the internet makes it easier to identify problems and adapts with patient conditions. The sophisticated devices may either be worn or implanted in the users’ bodies to continually examine their wellbeing. But due to the availability of several sensors and communication systems, standardization has become a key issue. This survey paper presents the state-of-art research relating to the various sensors and communication models that are used to provide home based monitoring. The small sensor nodes with IoT and its influence on every patient’s life in reducing their anxiety of risk when they are inaccessible to medical support are studied. This study helps the researchers in choosing the best available protocols to implement in health-care devices. The contribution to the development of smart cities and data from home or at work for smart health care is discussed. The key findings of this study are the benefits of 5G technology for smart health care, as the most often utilized communication method in the literature to date is 4G. Also, the challenges faced in implementing the models in real time are discussed with the options of future scope mentioned.
The Association between Serum Anion Gap and All-Cause Mortality in Cerebral Infarction Patients after Treatment with rtPA: A Retrospective Analysis
Authors: Wang Hesong , Liu Chang , Xu Heng , Zhang Yunan , Gao Pengyi , Geng Shaohui , Kong Weijia , Zhi Yuxing , Yuan Kai , Tian Lichun
Published: May 2022

Background. No epidemiological study has determined the association between the anion gap (AG) and all-cause mortality in cerebral infarction patients after treatment with rtPA. This study is aimed at using AG levels as a prognostic factor for evaluating cerebral infarction patients after receiving rtPA treatment and to help the resident physicians accurately evaluate the therapeutic plan of rtPA. Methods. We extracted clinical data from the public database (MIMIC-IV database V1.0) and used the Kaplan-Meier curve to estimate the survival probabilities of cerebral infarction patients after rtPA treatment for the one-year, four-year, and whole period by log-rank test in 948 intensive care unit patients. Cox proportional hazard models were used to assess the association between AG and one-year, four-year, and whole period mortality in cerebral infarction patients after treatment with rtPA. Results. Kaplan-Meier survival curve indicated a higher AG value is significantly associated with an increased risk of one-year, four-year, and whole-period all-cause mortality in cerebral infarction patients after treatment with rtPA. Model I adjusted for ethnicity, age, gender, and skin tone. Model II adjusted for ethnicity, age, gender, skin tone, hypertension, diabetes, coronary atherosclerosis, congestive heart failure, peripheral vascular, hyperlipidemia, acute myocardial infarction (AMI), respiratory failure, and end-stage renal diseaseesrd (ESRD). On the basis of model II, model III adjusted for WBC, BUN, creatinine, platelet, MCH, MCHC, MCV, RBC, and RDW. In addition, there was better predictive ability between higher AG levels and mortality in certain subgroups, such as patients with

platelet
≤
247

,

RBC
>
3.11

. Conclusion. Serum AG is positively related to all-cause mortality in cerebral infarction patients after treatment with rtPA.
Research on Automatic Dodging Method for Road Surface Line Array Images
Authors: Yang Fuqiang , Zhao Jiabin , Yu Bo , Zhang Jiayuan , Tang Wei
Published: May 2022

Line scan cameras are widely used to acquire pavement images due to their imaging characteristics and low price, but the acquired pavement line array images often have uneven brightness. To eliminate the impact of image greyscale unevenness on subsequent processing, an automatic dodging method is proposed based on mask dodging algorithm. The main idea of the method is to chuck the images into sub‐blocks with the approximate greyscale change degree by introducing the cumulative slope conception. The rules to determine the filter size and the parameters required to adjust the sub‐block are self‐adaptive. The contrast stretching method is improved to make it more suitable for pavement images. The method is compared with other classical dodging algorithms, and the results show that the proposed automatic dodging method is better than others intuitively and quantitatively. The image length has no significant influence on it. Moreover, the crack segmentation results indicate that the proposed dodging method is effective for line array images, and a more accuracy crack segmentation could be achieved if the images preprocessed by the proposed dodging methods.
Real-Time Travel Time Prediction Based on Evolving Fuzzy Participatory Learning Model
Authors: Li Yongyi , Zhang Ming , Ding Yixing , Zhou Zhenghua , Xu Lingyu
Published: May 2022

Urban expressways take on rapid and external transport in the city due to their fast, safe, and large capacity. Implementing intelligent and active traffic control can effectively improve the performance of urban traffic and mitigate the urban traffic congestion problem. Real-time traffic guidance is one critical way of intelligent active traffic control, and travel time is the most important input for real-time traffic guidance. We employed and improved a machine learning method called the evolving fuzzy participatory learning (ePL) model to predict the freeway travel time online in this paper. The ePL model has a promising nonlinear mapping potential, which is well suitable for the traffic prediction. We used generalized recursive least square (GRLS) to improve the estimation accuracy of the model’s parameters. This model is a fuzzy control model. Its output is the forecasting result which is also the fuzzy reasoning result. We tested this model by comparing it to other travel time prediction approaches, with the freeway data from the Caltrans Performance Measurement System. The results from the improved ePL model showed mean absolute error of 5.941 seconds, mean absolute percentage error of 1.316%, and root mean square error of 10.923 s. The performances are better than those of the baseline models including ARIMA and BPN. This model can be used to predict the travel time in the field to be used for active traffic control and traffic guidance.
Incidence, Disease Course, and Medical Treatment of a Danish Population-Based Cohort of Very Early-Onset Inflammatory Bowel Disease
Authors: Ninh Giaan , Kallemose Thomas , Wewer Vibeke , Jakobsen Christian
Published: May 2022

Background and Aims. In very early-onset IBD patients (VEO-IBD), studies have shown an incidence ranging from 0.4 to 2.1/100,000, extensive disease location, and a corresponding difficult and debatable treatment. We therefore aimed to investigate the incidence and medical and surgical treatment of VEO-IBD in a well-defined Danish population-based cohort. Methods. All VEO-IBD patients, defined as an IBD diagnosis before 6 years of age, were included from the Capital Region and the Zealand Region in 2015-2020. Demographic and clinical data including medical and surgical treatment were systematically extracted from the patient files. Results. Forty VEO-IBD patients were identified, 11 diagnosed with CD, 23 UC, and 6 IBD-U. The incidence rate of VEO-IBD was 2.0/100,000 (95% CI 0.8-5.9). All VEO-IBD patients except one had extensive colonic involvement or pancolitis. A total of 34 (85.0%) and 23 (57.5%) of the VEO-IBD patients received immunomodulators and/or biologicals, respectively. The cumulative risks of receiving immunomodulators and/or biologicals after 1/3/5 years was 55.3%/86.8%/90.1% and 36.8%/45.9%/57.0%, respectively. During follow-up, six VEO-IBD patients (15.0%) were treated with vedolizumab—although off-label for this age group—as second-line biological therapy. Four patients (17.4%) with UC had a colectomy. Two colectomised patients were treated with vedolizumab. Conclusion. Our population-based study showed an incidence of VEO-IBD comparable with the incidence in other countries. The population were treated intensively with immunomodulators and biologicals—including off-label vedolizumab—and compared to other studies had the same risk of undergoing IBD-related surgeries.
Optimization for the Human Resources Management Strategy of the IoT Industry Based on AHP
Authors: Wang Jingjie , Bai Wei , Liu Yongbin
Published: May 2022

Since the twenty-first century, new things are emerging in the market economy; the Internet is one of them. Internet of things (IoT) is a new thing, which combines computer, Internet, and mobile communication network after the third wave of information industry, the development of huge application prospect, has been listed as one of the five emerging strategic industries. With the rapid development of digital technology and market economy, to accelerate the competition in the market economy, intense competition in IoT industry also exists. Effect of human resource management to a certain extent determines the strength of the market competitiveness of an enterprise; the research about human resource management of the IoT industry is carried out in this paper, by analysis of the basic characteristics of the Internet industry and combining Internet enterprise competitiveness, and it is directly related to human resource of a number of factors and applies the AHP method to establish the Internet enterprise human resources management quality and the effect of the evaluation model. Finally, an IoT enterprise is taken as the study object, the human resources management quality assessment model studied in this paper is used to evaluate enterprise’s human resources management, and its existing human resources management strategy and its optimization are studied, which provide certain theory support to enhance its market competitiveness.