bluuebunny/crossref_metadata_2025 huggingface dataset:
Base editor enables rational genome-scale functional screening for enhanced industrial phenotypes in
Corynebacterium glutamicum
Authors: Liu Ye , Wang Ruoyu , Liu Jiahui , Lu Hui , Li Haoran , Wang Yu , Ni Xiaomeng , Li Junwei , Guo Yanmei , Ma Hongwu , Liao Xiaoping , Wang Meng
Published: August 2022

Genome-scale functional screening accelerates comprehensive assessment of gene function in cells. Here, we have established a genome-scale loss-of-function screening strategy that combined a cytosine base editor with approximately 12,000 parallel sgRNAs targeting 98.1% of total genes in
Corynebacterium glutamicum
ATCC 13032. Unlike previous data processing methods developed in yeast or mammalian cells, we developed a new data processing procedure to locate candidate genes by statistical sgRNA enrichment analysis. Known and novel functional genes related to 5-fluorouracil resistance, 5-fluoroorotate resistance, oxidative stress tolerance, or furfural tolerance have been identified. In particular,
purU
and
serA
were proven to be related to the furfural tolerance in
C. glutamicum
. A cloud platform named FSsgRNA-Analyzer was provided to accelerate sequencing data processing for CRISPR-based functional screening. Our method would be broadly useful to functional genomics study and strain engineering in other microorganisms.
Would you trust an intelligent robot?
Authors: Murphy Robin R.
Published: August 2022

Providence
delivers a science fiction primer on why assured autonomy and explainable AI are critical to the success of real-world robots.
Quantitative immunopeptidomics reveals a tumor stroma–specific target for T cell therapy
Authors: Kim Gloria B. , Fritsche Jens , Bunk Sebastian , Mahr Andrea , Unverdorben Felix , Tosh Kevin , Kong Hong , Maldini Colby R. , Lau Chui , Srivatsa Sriram , Jiang Shuguang , Glover Joshua , Dopkin Derek , Zhang Carolyn X. , Schuster Heiko , Kowalewski Daniel J. , Goldfinger Valentina , Ott Martina , Fuhrmann David , Baues Maike , Boesmueller Hans , Schraeder Christoph , Schimmack Gisela , Song Colette , Hoffgaard Franziska , Roemer Michael , Tsou Chih-Chiang , Hofmann Martin , Treiber Thomas , Hutt Meike , Alten Leonie , Jaworski Maike , Alpert Amir , Missel Sarah , Reinhardt Carsten , Singh Harpreet , Schoor Oliver , Walter Steffen , Wagner Claudia , Maurer Dominik , Weinschenk Toni , Riley James L.
Published: August 2022

T cell receptor (TCR)–based immunotherapy has emerged as a promising therapeutic approach for the treatment of patients with solid cancers. Identifying peptide–human leukocyte antigen (pHLA) complexes highly presented on tumors and rarely expressed on healthy tissue in combination with high-affinity TCRs that when introduced into T cells can redirect T cells to eliminate tumor but not healthy tissue is a key requirement for safe and efficacious TCR-based therapies. To discover promising shared tumor antigens that could be targeted via TCR-based adoptive T cell therapy, we employed population-scale immunopeptidomics using quantitative mass spectrometry across ~1500 tumor and normal tissue samples. We identified an HLA-A*02:01-restricted pan-cancer epitope within the collagen type VI α-3 (COL6A3) gene that is highly presented on tumor stroma across multiple solid cancers due to a tumor-specific alternative splicing event that rarely occurs outside the tumor microenvironment. T cells expressing natural COL6A3-specific TCRs demonstrated only modest activity against cells presenting high copy numbers of COL6A3 pHLAs. One of these TCRs was affinity-enhanced, enabling transduced T cells to specifically eliminate tumors in vivo that expressed similar copy numbers of pHLAs as primary tumor specimens. The enhanced TCR variants exhibited a favorable safety profile with no detectable off-target reactivity, paving the way to initiate clinical trials using COL6A3-specific TCRs to target an array of solid tumors.
Structural and Biochemical Characterization of a Nonbinding SusD-Like Protein Involved in Xylooligosaccharide Utilization by an Uncultured Human Gut
Bacteroides
Strain
Authors: Tauzin Alexandra S. , Wang Zhi , Cioci Gianluca , Li Xiaoqian , Labourel Aurore , Machado Barbara , Lippens Guy , Potocki-Veronese Gabrielle
Published: August 2022

The metabolization of dietary fiber is a crucial function for many gut bacteria, especially
Bacteroidetes
, which are particularly well adapted for recognizing, binding, transporting, and degrading glycosides. In this study, we report the functional and structural characterization of a SusD-like protein involved in xylooligosaccharide utilization by an uncultured gut
Bacteroides
strain.
Comparative Analysis of Clinical and Genomic Characteristics of Hypervirulent Klebsiella pneumoniae from Hospital and Community Settings: Experience from a Tertiary Healthcare Center in India
Authors: Raj Stephen , Sharma Tanya , Pradhan Dibyabhaba , Tyagi Sonu , Gautam Hitender , Singh Harpreet , Sood Seema , Dhawan Benu , Das Bimal Kumar , Kapil Arti , Chaudhry Rama , Mohapatra Sarita
Published: August 2022

To date, studies comparing the genomic characteristics of hospital- and community-acquired hvKp were very few in India. In this study, we analyzed the clinical and genomic characteristics of hvKp isolates from hospital and community settings.
Imipenem-Relebactam Susceptibility in
Enterobacterales
Isolates Recovered from ICU Patients from Spain and Portugal (SUPERIOR and STEP Studies)
Authors: Hernández-García Marta , García-Castillo María , Bou Germán , Cercenado Emilia , Delgado-Valverde Mercedes , Oliver Antonio , Pitart Cristina , Rodríguez-Lozano Jesús , Tormo Nuria , Melo-Cristino José , Pinto Margarida F. , Gonçalves Elsa , Alves Valquíria , Vieira Ana Raquel , Ramalheira Elmano , Sancho Luísa , Diogo José , Ferreira Rui , Cruz Hugo , Chaves Catarina , Duarte Joana , Pássaro Leonor , Díaz-Regañón Jazmín , Cantón Rafael
Published: August 2022

We comparatively evaluate the
in vitro
activity of a drug combination consisting of a carbapenem (imipenem) and a novel inhibitor of beta-lactamases (relebactam), a mechanism that destroys beta-lactam antibiotics. We assess the activity against a collection of
Enterobacterales
clinical isolates recovered from difficult-to-treat infections in patients admitted to different intensive care units in Portugal and Spain.
Erratum to: Platinum(II) Acetylacetonate Complex Based on 5-(3-Aminophenyl)-2-(2-thienyl)pyridine: Synthesis, Crystal Structure, and Photophysical Properties
Authors: Kopchuk D. S. , Slepukhin P. A. , Taniya O. S. , Krinochkin A. P. , Zyryanov G. V. , Chupakhin O. N.
Published: August 2022

An Erratum to this paper has been published: https://doi.org/10.1134/S1070328422340012
Unusual ultrasound diagnosis of hair implantation osteomyelitis of the thumb
Authors: Katsura Chie , Chuo Cher Bing
Published: August 2022

Osteomyelitis is a challenging condition to diagnose and successfully treat. A clinician diagnosing osteomyelitis is reliant on relevant aspects of clinical history, inflammatory markers and radiological imaging such as X-rays, CT and contrast MRI. The confirmation of the presurgical diagnosis is made from microbiological analysis of the bone biopsy and/or histological analysis for features of inflammatory changes. An ultrasound scan is generally thought to have less value in osteomyelitis diagnosis due to its inability to interrogate bone. However, this investigation can be helpful in detecting the site and size of soft tissue collections secondary to osteomyelitis and the presence of any associated foreign bodies. We present a case where an ultrasound scan played a key role in supporting the diagnosis of osteomyelitis of the thumb in a dog groomer. This is the first reported case of hair implantation osteomyelitis presenting without a cutaneous sinus.
Structure and decay chain of fermium isotopes using relativistic mean-field approach
Authors: Das Monalisa , Bhuyan M. , Majekodunmi Joshua T. , Biswal N. , Panda R. N.
Published: August 2022

In this paper, we have analyzed the ground state structural properties of fermium-isotopes in the mass range [Formula: see text] within the relativistic mean-field with NL3[Formula: see text] and Relativistic Hartree–Bogoliubov approach with DD-ME2 parameter sets. The bulk properties, such as binding energy, root mean-square charge radius, quadruple deformation parameter, chemical potentials, two-neutron separation energy and differential two- neutron separation energy, are estimated for the above Fm- isotopic chain. All the calculated observables are compared with finite range droplet model (FRDM) predictions and experimental data wherever available. The analysis predicts the existence of shell closure in the neutron-rich region of the isotopic chain at [Formula: see text]. The decay properties such as the [Formula: see text]-decay energy and corresponding half-life for three decay chains i.e. [Formula: see text]Fm, [Formula: see text]Fm and [Formula: see text]Fm are studied. Six different empirical formulae, namely; Viola-Seaborg, Royer, modified B. Alex Brown, Parkhomenko–Sobiczewski, Universal decay law and modified universal decay law are employed to ascertain the numerical dependency of the half-life for each decay energy. A comparative study of [Formula: see text]-values and half-lives for these decay chains gives a good signature of the calculated results. The half-life calculations of three decay chains suggest that [Formula: see text]Pu, [Formula: see text]Pu, [Formula: see text]Pu are shell closure nuclei having maximum half-lives, whereas [Formula: see text]Fm, [Formula: see text]Fm and [Formula: see text]Fm are shell stabilized with lower half-lives.
Liver Tumor Classification Using Optimal Opposition-Based Grey Wolf Optimization
Authors: Jose Reshma , Chacko Shanty , Jayakumar J. , Jarin T.
Published: August 2022

Image processing plays a significant role in various fields like military, business, healthcare and science. Ultrasound (US), Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are the various image tests used in the treatment of the cancer. Detecting the liver tumor by these tests is a complex process. Hence, in this research work, a novel approach utilizing a deep learning model is used. That is Deep Belief Network (DBN) with Opposition-Based Learning (OBL)-Grey Wolf Optimization (GWO) is used for the classification of liver cancer. This process undergoes five major processes. Initially, in pre-processing the color contrast is improved by Contrast Limited Adaptive Histogram Equalization (CLAHE) and the noise is removed by Wiener Filtering (WF). The liver is segmented by adaptive thresholding following pre-processing. Following that, the kernelizedFuzzy C Means (FCM) method is used to segment the tumor area. The form, color, and texture features are then extracted during the feature extraction process. Finally, these traits are categorized using DBN, and OBL-GWO is employed to enhance system performance. The entire evaluation is done on Liver Tumor Segmentation (LiTS) benchmark dataset. Finally, the performance of the proposed DBN-OBL-GWO is compared to other models and their achievements are proved. The proposed DBN-OBL-GWO achieves a better accuracy of 0.995, precision of 0.948 and false positive rate (FPR) of 0.116, respectively.
Coupled quintessence with a generalized interaction term
Authors: Potting Robertus , Sá Paulo M.
Published: August 2022

In this paper, we investigate a cosmological model in which dark energy, represented by a quintessential scalar field, is directly coupled to a dark-matter perfect fluid. We are interested in solutions of cosmological relevance, namely those for which a dark-matter-dominated era long enough to allow for structure formation is followed by an era of accelerated expansion driven by dark energy. For the coupling between these two dark components of the universe, we choose forms that generalize the one most commonly used in the literature. Resorting to powerful methods of qualitative analysis of dynamical systems, we show that, for certain generalized forms of the coupling, final states of our coupled quintessential model correspond to solutions in which the evolution of the universe is completely dominated by dark energy. In this case, there are no scaling solutions. Interestingly, however, for certain values of a relevant parameter, during the approach to the final state of evolution, the cosmological parameters change so slowly that, for all practical purposes, the solution appears to be stuck in a state corresponding to a scaling solution.
NUMERICAL SIMULATION OF THE FRACTIONAL-ORDER RÖSSLER CHAOTIC SYSTEMS WITH GRÜNWALD–LETNIKOV FRACTIONAL DERIVATIVE
Authors: LI XIAOYU , WANG YU-LAN
Published: August 2022

In recent years, scholars have studied the chaotic behavior in the fractional dynamic systems and found that the fractional dynamic systems have unique properties that the integer dynamic systems do not have. Therefore, the numerical simulation of fractional chaotic systems is very important. This paper introduces a high-precision numerical method for the fractional-order Rössler chaotic systems. Complex dynamic behavior of the fractional-order Rössler chaotic systems is shown by using the present method. We observe some novel dynamic behaviors in numerical simulation which are unlike any that have been previously found in numerical experiments or theoretical studies. The simulation results of numerical experiments demonstrate the effectiveness of the present method.
BAR-CODES OF SIERPIŃSKI RELATIVES WITH TRIANGLE CONVEX HULLS
Authors: TAYLOR T. D. , ROUSE S.
Published: August 2022

This paper presents results about the triangle Sierpiński relatives. These are Sierpiński relatives that have the same convex hull (whose boundary is a right isosceles triangle) as the Sierpiński gasket. In general, the Sierpiński relatives all have the same fractal dimension but different topologies. The special subset of triangle relatives includes are all both path-connected and multiply-connected. We investigate the epsilon hulls of the relatives (sets of all points within a distance of [Formula: see text] to the relative) to characterize and compare. This analysis includes the topological bar-codes which convey information about the connectivity of the [Formula: see text]-hulls of the relatives as [Formula: see text] ranges over the non-negative reals. We also prove that the growth rate of holes in the [Formula: see text]-hulls is equal to the fractal dimension.
NEW PROPERTIES OF THE FRACTAL BOUSSINESQ–KADOMTSEV–PETVIASHVILI-LIKE EQUATION WITH UNSMOOTH BOUNDARIES
Authors: WANG KANGLE , WEI CHUNFU , REN FENG
Published: August 2022

The Boussinesq–Kadomtsev–Petviashvili-like model is a famous wave equation which is used to describe the shallow water waves in ocean beaches and lakes. When shallow water waves propagate in microgravity or with unsmooth boundaries, the Boussinesq–Kadomtsev–Petviashvili-like model is modified into its fractal model by the local fractional derivative (LFD). In this paper, we mainly study the fractal Boussinesq–Kadomtsev–Petviashvili-like model (FBKPLM) based on the LFD on Cantor sets. Two efficient and reliable mathematical approaches are successfully implemented to obtain the different types of fractal traveling wave solutions of the FBKPLM, which are fractal variational method (FVM) and fractal Yang wave method (FYWM). Finally, some three-dimensional (3D) simulation graphs are employed to elaborate the properties of the fractal traveling wave solutions.
CHARACTERIZATION OF CHLORIDE IONS DIFFUSION IN CONCRETE USING FRACTIONAL BROWNIAN MOTION RUN WITH POWER LAW CLOCK
Authors: YAN SHENGJIE , LIANG YINGJIE , XU WEI
Published: August 2022

In this paper, we propose a revised fractional Brownian motion run with a nonlinear clock (fBm-nlc) model and utilize it to illustrate the microscopic mechanism analysis of the fractal derivative diffusion model with variable coefficient (VC-FDM). The power-law mean squared displacement (MSD) links the fBm-nlc model and the VC-FDM via the two-parameter power law clock and the Hurst exponent is 0.5. The MSD is verified by using the experimental points of the chloride ions diffusion in concrete. When compared to the linear Brownian motion, the results show that the power law MSD of the fBm-nlc is much better in fitting the experimental points of chloride ions in concrete. The fBm-nlc clearly interprets the VC-FDM and provides a microscopic strategy in characterizing different types of non-Fickian diffusion processes with more different nonlinear functions.
SENSITIVITIES AND HEDGING OF THE COLLATERAL CHOICE OPTION
Authors: DEELSTRA GRISELDA , GRZELAK LECH A. , WOLF FELIX L.
Published: August 2022

The collateral choice option allows a collateral-posting party the opportunity to change the type of security in which the collateral is deposited. Due to nonzero collateral basis spreads, this optionality significantly impacts asset valuation. Because of the complexity of valuing the option, many practitioners resort to deterministic assumptions on the collateral rates. In this paper, we focus on a valuation model of the collateral choice option based on stochastic dynamics. Intrinsic differences in the resulting collateral choice option valuation and its implications for collateral management are presented. We obtain sensitivities of the collateral choice option price under both the deterministic and the stochastic model, and we show that the stochastic model attributes risks to all involved collateral currencies. Besides an inability to capture volatility effects, the deterministic model exhibits a digital structure in which only the cheapest-to-deliver currency influences the valuation at a given time. We further consider hedging an asset with the collateral choice option by a portfolio of domestic and foreign zero-coupon bonds that do not carry the collateral choice option. We propose static hedging strategies based on the crossing times of the deterministic model and based on variance-minimization under the stochastic model. We show how the weights of this model can be explicitly determined with the semi-analytical common factor approach and we show in numerical experiments that this strategy offers good hedging performance under minimized variance.
Rates of convergence for laws of the spectral maximum of free random variables
Authors: Ueda Yuki
Published: August 2022

Let [Formula: see text] be a sequence of freely independent, identically distributed non-commutative random variables. Consider a sequence [Formula: see text] of the renormalized spectral maximum of random variables [Formula: see text]. It is known that the renormalized spectral maximum [Formula: see text] converges to the free extreme value distribution under certain conditions on the distribution function. In this paper, we provide a rate of convergence in the Kolmogorov distance between a distribution function of [Formula: see text] and the free extreme value distribution.
Homological properties of trivial ring extensions
Authors: Mao Lixin
Published: August 2022

Let [Formula: see text] be a trivial extension of a ring [Formula: see text] by an [Formula: see text]-[Formula: see text]-bimodule [Formula: see text]. We first study the transfer of some rings such as left [Formula: see text]-rings, left Kasch rings, left PS rings between [Formula: see text] and [Formula: see text]. Then we investigate how to construct [Formula: see text]-tilting modules and Gorenstein modules in [Formula: see text]-Mod from [Formula: see text]-Mod. Finally we exhibit the connections between preenvelopes (respectively, precovers) in [Formula: see text]-Mod and preenvelopes (respectively, precovers) in [Formula: see text]-Mod.
The Contribution of Innovation Hubs Towards Strengthening the Regional Development in Sweden
Authors: Chowdhury Ehsanul Huda , Fjellström Daniella , Osarenkhoe Aihie , Hannadige Sanvida Vishani Sawunda , Weerasinghe Dona Kithmini Chiranthini
Published: August 2022

Aim: This study aims to explore the influence of innovation hubs (IHs) on innovation-based regional development.

Methodology: This study applied a qualitative approach using a multiple case study method to collect data through 10 semi-structured interviews. A detailed analysis of the data collected was conducted using the content analysis method.

Findings: The study shows that IHs can influence both economic and social development. An IH can attract knowledge and expertise as well as investors to the region through its activities and geographical location. The hubs support start-ups, entrepreneurs and smart specialization at the same time as they also enable sustainable development by creating social value. Regions can exchange resources through cross-collaboration via IHs.

Research Implications: This study has important theoretical managerial and societal implications. It adds comprehensive knowledge to the existing theory on IHs and regional development by highlighting the influence of IHs on regional development. The study shows both economic and social influence in detail and points out a previously undiscussed concept in the context of the correlation between IHs and regional development.
10,15-Bis(trifluoromethyl)B(III)subchlorin
Authors: Bhat Ishfaq A. , Panda Pradeepta K.
Published: August 2022

Meso-free B(III)subchlorin has been synthesized for the first time using meso-trifluoromethyl substituted tripyrrane, in trace quantity. It displays the most-blue shifted absorption and emission for subchlorins. This macrocycle was found to be completely resistant to oxidation and moderately generate singlet oxygen (34 %).
Accessible Maps in a Group of Classical or Quantum Channels
Authors: Sadri Koorosh , Shahbeigi Fereshte , Puchała Zbigniew , Życzkowski Karol
Published: August 2022

We study the problem of accessibility in a set of classical and quantum channels admitting a group structure. Group properties of the set of channels, and the structure of the closure of the analyzed group [Formula: see text] plays a pivotal role in this regard. The set of all convex combinations of the group elements contains a subset of channels that are accessible by a dynamical semigroup. We demonstrate that accessible channels are determined by probability vectors of weights of a convex combination of the group elements, which depend neither on the dimension of the space on which the channels act, nor on the specific representation of the group. Investigating geometric properties of the set [Formula: see text] of accessible maps we show that this set is nonconvex, but it enjoys the star-shape property with respect to the uniform mixture of all elements of the group. We demonstrate that the set [Formula: see text] covers a positive volume in the polytope of all convex combinations of the elements of the group.
Pd-Decorated NiCo2O4 Nanotubes Derived from Template-Free Process for Improved Electrocatalytic Glucose Oxidation
Authors: Zhao Heyu , Yin Haoyong , Wang Ling , Zheng Yifan , Zhao Shumin , Wu Shengji
Published: August 2022

The electrode materials for highly efficient glucose oxidation reaction (GOR) are vital for nonenzymatic glucose sensors (NEGS) and direct glucose fuel cells. The Pd-decorated NiCo2O4 nanotubes (Pd/NiCo2O4 NTs) were prepared through the template-free process. Pd/NiCo2O4 NTs presented highly improved electrocatalytic activity for glucose oxidation. When applied to glucose detection, Pd/NiCo2O4 NTs displayed superior sensing performance with a wide detection range of 5 [Formula: see text]M–9 mM. The sensitivity and detection limit are 214.2 [Formula: see text] and 1.6 [Formula: see text]M, respectively. Moreover, the Pd/NiCo2O4 NTs sensors also demonstrated excellent selectivity and feasibility for glucose detection for serum sample analysis.
Effective Self-Support Growth of Spring-Like Carbon Nanotube Arrays with Ultra-Large Specific Surface Area
Authors: Xu Lele , Cao Yufang , Yuan Xinxin , Liang Chen , Yong Zhenzhong , Chen Minghai
Published: August 2022

Carbon nanotube (CNT) long array with higher aspect ratio is an ideal electrode material for high performance supercapacitors due to its excellent conductivity and high specific surface area (SSA). How to quickly and concisely prepare high-quality CNT long-arrays is the key to achieving large-scale application. Herein, high-quality spring-like CNT (tube diameter 5–8[Formula: see text]nm) long arrays (100–400[Formula: see text][Formula: see text]m) with high purity (96.2% after purification) and ultrahigh graphitization ([Formula: see text]) were fabricated in a high yield (eight times) by a self-supporting catalyst chemical vapor deposition (CVD) method, and its formation process was first investigated under specific conditions of iron content in catalyst, growth temperature and carbon source species. The SSAs can reach 728[Formula: see text]m2/g, which is more than twice that of MWCNTs on the market. The high graphitization and ultra-large SSAs of this spring-like CNT arrays as electrodes exhibit potential electrochemical performance.
Complex dynamics of COVID-19 mathematical model on Erdős–Rényi network
Authors: Kartal Neriman , Kartal Senol
Published: August 2022

In this study, a conformable fractional order Lotka–Volterra predator-prey model that describes the COVID-19 dynamics is considered. By using a piecewise constant approximation, a discretization method, which transforms the conformable fractional-order differential equation into a difference equation, is introduced. Algebraic conditions for ensuring the stability of the equilibrium points of the discrete system are determined by using Schur–Cohn criterion. Bifurcation analysis shows that the discrete system exhibits Neimark–Sacker bifurcation around the positive equilibrium point with respect to changing the parameter d and e. Maximum Lyapunov exponents show the complex dynamics of the discrete model. In addition, the COVID-19 mathematical model consisting of healthy and infected populations is also studied on the Erdős Rényi network. If the coupling strength reaches the critical value, then transition from nonchaotic to chaotic state is observed in complex dynamical networks. Finally, it has been observed that the dynamical network tends to exhibit chaotic behavior earlier when the number of nodes and edges increases. All these theoretical results are interpreted biologically and supported by numerical simulations.
A design for preparation of textured piezoelectric ceramics based on the phase-field simulation
Authors: Zhang Yongmei , Liu Liangliang
Published: August 2022

To solve the problem of directional arrangement of small template particles, we designed a lamination technique for the preparation of dense ceramics with high texture degree based on the phase-field simulation. Referring to the experimental data, the initial microstructures of the template and matrix layers were constructed. The effect of the average length of template on the coarsening behavior of the template layer was investigated in detail. The results suggested that there was a stable stage in the growth process of template grains, which would be conducive to the densification of textured ceramics. This phenomenon has been confirmed by corresponding experiments. In addition, we demonstrated a critical thickness of matrix layer for the preparation of highly textured ceramics by using the template with various average lengths. The grain size of highly textured ceramics could be controlled by adjusting the template size and thickness of matrix layer.
Synthesis and Characterization of the (BiFeO3)0.5–(CaTiO3)0.5 Solid Solution for Some Device Applications
Authors: Meher Rajendra , Padhee Rajib , Parida S. K.
Published: August 2022

In this paper, the synthesis (solid-state reaction) and characterization (structural, dielectric, electrical, and optical) of the (BiFeO3)[Formula: see text]–(CaTiO3)[Formula: see text] (BFCTO) are reported. The structural analysis suggests a distorted rhombohedral crystal symmetry (#R-3m) with average crystallite of 93.2[Formula: see text]nm and lattice strain of 0.105%. The scanning electron microscopy (SEM) and energy dispersive microstructural analysis X-ray (EDAX) analyses suggest that the grains are uniformly distributed with well-defined grain boundaries and the presence of all constituent elements, respectively. The average grain size is about [Formula: see text]m as calculated from the ImageJ software. Both the temperature and the frequency-dependent dielectric study predict high dielectric constant of 9000 at 1[Formula: see text]kHz, low dielectric loss, the phase transition from ferroelectric to paraelectric at 410∘C, and negative temperature coefficient of resistance (NTCR) character. The impedance spectroscopy provides the effect of grains and grain boundaries on the conductivity mechanism and exhibits the non-Debye type of relaxation. The decreasing radius of semicircular arcs with temperature in both Nyquist and Cole–Cole plots supports the NTCR and thermally activated conduction mechanism. The polarization–electric field (P–E) loop study confirms the ferroelectric character of the sample. The study of the [Formula: see text]–[Formula: see text] plot suggests the leakage current in the mA range and ohmic conducting nature. The Fourier transform infrared spectroscopy (FTIR) spectrum suggests the presence of all constituent elements, whereas the bandgap energy from UV–Visible study is about 1.43[Formula: see text]eV, which is useful in photovoltaic applications.
Generative Adversarial Networks in Time Series: A Systematic Literature Review
Authors: Brophy Eoin , Wang Zhengwei , She Qi , Ward Tomás
Published: August 2022

Generative adversarial network (GAN) studies have grown exponentially in the past few years. Their impact has been seen mainly in the computer vision field with realistic image and video manipulation, especially generation, making significant advancements. Although these computer vision advances have garnered much attention, GAN applications have diversified across disciplines such as time series and sequence generation. As a relatively new niche for GANs, fieldwork is ongoing to develop high-quality, diverse, and private time series data. In this article, we review GAN variants designed for time series related applications. We propose a classification of discrete-variant GANs and continuous-variant GANs, in which GANs deal with discrete time series and continuous time series data. Here we showcase the latest and most popular literature in this field—their architectures, results, and applications. We also provide a list of the most popular evaluation metrics and their suitability across applications. Also presented is a discussion of privacy measures for these GANs and further protections and directions for dealing with sensitive data. We aim to frame clearly and concisely the latest and state-of-the-art research in this area and their applications to real-world technologies.
Conjunctive Queries: Unique Characterizations and Exact Learnability
Authors: Cate Balder Ten , Dalmau Victor
Published: August 2022

We answer the question of which conjunctive queries are uniquely characterized by polynomially many positive and negative examples and how to construct such examples efficiently. As a consequence, we obtain a new efficient exact learning algorithm for a class of conjunctive queries. At the core of our contributions lie two new polynomial-time algorithms for constructing frontiers in the homomorphism lattice of finite structures. We also discuss implications for the unique characterizability and learnability of schema mappings and of description logic concepts.
Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems
Authors: Pujol Roger , Jorba Josep , Tabani Hamid , Kosmidis Leonidas , Mezzetti Enrico , Abella Jaume , Cazorla Francisco
Published: August 2022

The need for increased application performance in high-integrity systems such as those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future high-integrity embedded products is multi-processor systems-on-chip (MPSoC) processors. MPSoCs include central processing unit (CPU) multicores that enable improving performance via thread-level parallelism. MPSoCs also include generic accelerators (graphics processing units [GPUs]) and application-specific accelerators. However, the
data processing approach
(DPA) required to exploit each of these underlying parallel hardware blocks carries several open challenges to enable the safe deployment in high-integrity domains. The main challenges include the qualification of its associated runtime system and the difficulties in analyzing programs deploying the DPA with out-of-the-box timing analysis and code coverage tools. In this work, we perform a thorough analysis of vector extensions (VExts) in current commercial off-the-shelf (COTS) processors for high-integrity systems. We show that VExts prevent many of the challenges arising with parallel programming models and GPUs. Unlike other DPAs, VExts require no runtime support, prevent design race conditions that might arise with parallel programming models, and have minimum impact on the software ecosystem, enabling the use of existing code coverage and timing analysis tools. We develop vectorized versions of neural network kernels and show that the NVIDIA Xavier VExts provide a reasonable increase in guaranteed application performance of up to 2.7x. Our analysis contends that VExts are the DPA approach with arguably the fastest path for adoption in high-integrity systems.
Regulation of Molecular Diagnostics
Authors: Javitt Gail H. , Vollebregt Erik R.
Published: August 2022

Molecular diagnostic tests enable rapid analysis of genomic and proteomic markers. These tests are subject to diverging premarket access and postmarket surveillance requirements and mechanisms in the United States and the European Union. Each of these jurisdictions has its own challenges in keeping the regulations up to date with technological developments. A specific area of attention is that of laboratory-developed tests in the United States and health institution in-house-produced tests in the European Union, for which the United States and the European Union have markedly different regulatory approaches. Both jurisdictions have specific but differing requirements for the use of test samples and test-related data under their rules regarding the protection of (personal) health data, which can cause complexity when moving samples or sample-related data from one jurisdiction to the other.
A DFT + U-D3 Study of the Adsorption of Hydrogen Fluoride and Ethylene Carbonate on the Niobium-Doped (001), (011), and (111) Surfaces of Lithium Manganese Oxide
Authors: Ramogayana Brian , Santos-Carballal David , Maenetja Khomotso P. , Malatji Kemeridge T. , de Leeuw Nora H. , Ngoepe Phuti E.
Published: August 2022

Cationic doping has been recommended as one of the most effective methods of reducing the number of trivalent manganese (Mn3+) ions that undergo a disproportionation reaction in lithium manganese oxide-based (LiMn2O4) lithium-ion batteries. However, the effect of surface doping on the major LiMn2O4 surfaces and their interactions with the electrolyte components is not yet fully understood. In this work, spin-polarised density functional theory-based calculations [DFT + U-D3 (BJ)] were employed to study the adsorption of the electrolyte components ethylene carbonate (EC) and hydrogen fluoride (HF) onto the Nb-doped major LiMn2O4 (001), (011), and (111) surfaces. During the substitution of niobium for manganese ions in the second surface layers (Nb
second
), it was found that the (111) surface stability improves, resulting in an enhanced (111) plane on the morphology. However, replacing the first (Nb
first
) as well as both top and sub-surface (Nb
both
) layers of Mn atoms in the slabs maintains the same stability trend as in the pure pristine surfaces. Moreover, both adsorbates greatly preferred binding to the surfaces through the Nb instead of Mn atoms, and the largest adsorption energy was calculated for EC on the LiMn2O4 (011) surface doped on the Nb
second
site and for HF on the LiMn2O4 (111) surface doped on the Nb
both
site. Furthermore, the EC/HF adsorptions further enhance the stability of the Nb
second
(111) surface plane. However, minimal charge transfer was calculated for both HF and EC interacting with the pure and Nb-doped surfaces. Our findings are interesting, since exposing the (111) surface promotes the formation of a stable solid electrolyte interface (SEI), significantly reducing Mn dissolution and enhancing the adsorption of EC and HF.
Carbohydrate intake in recovery from aerobic exercise differentiates skeletal muscle microRNA expression
Authors: Margolis Lee M. , Carrigan Christopher T. , Murphy Nancy E. , DiBella Marissa N. , Wilson Marques A. , Whitney Claire C. , Howard Emily E. , Pasiakos Stefan M. , Rivas Donato A.
Published: August 2022

Results provide novel insight into effects of carbohydrate intake on the expression of skeletal muscle microRNA during early recovery from aerobic exercise and reveal that Let7i-5p and miR-195-5p are important regulators of skeletal muscle protein breakdown to aid in facilitating muscle recovery.
β-PIX cooperates with GIT1 to regulate endothelial nitric oxide synthase in sinusoidal endothelial cells
Authors: Liu Songling , Premont Richard T. , Park Ki-Hoon , Rockey Don C.
Published: August 2022

β-PIX is a multidomain protein known to be a GIT1 binding partner. We report here that in the normal liver, the distribution and cellular localization of β-PIX are restricted largely to sinusoidal endothelial cells. Furthermore, β-PIX interacts with eNOS and GIT1 promotes eNOS activity and NO production and therefore exerts a novel posttranslational regulatory function on eNOS activity in sinusoidal endothelial cells. We also have identified specific molecular domains important in GIT1 and β-PIX’s interaction with eNOS, which may represent novel therapeutic targets in the control of sinusoidal blood flow and intrahepatic resistance.
Detection of Subarachnoid Hemorrhage in Computed Tomography Using Association Rules Mining
Authors: Alwageed Hathal Salamah
Published: August 2022

Subarachnoid hemorrhage (SAH) is one of the serious strokes of cerebrovascular accidents. There is an approx. 15% probability of spontaneous subarachnoid hemorrhage in all acute cerebrovascular accidents (CVAs). Most spontaneous subarachnoid hemorrhages are caused by ruptures of intracranial aneurysms, accounting for about 85% of all occurrences. About 15% of acute cerebrovascular disorders are caused by spontaneous subarachnoid hemorrhage. This illness is mostly caused by brain/spinal arteriovenous malformations, extracranial aneurysms, and hypertension. Computed tomography (CT) scan is the common diagnostic modality to evaluate SAH, but it is very difficult to identify the abnormality. Thus, automatic detection of SAH is required to recognize the early signs and symptoms of SAH and to provide appropriate therapeutic intervention and treatment. In this article, the gray-level cooccurrence matrix (GLCM) is used to extract useful features from CT images. Then, the New Association Classification Frequent Pattern (NCFP-growth) algorithm is applied, which is based on association rules. Then, it is compared with FP-growth methods with association rules and FP-growth methods without association rules. The experimental results indicate that the suggested approach outperforms in terms of classification accuracy. The proposed approach equates to a 95.2% accuracy rate compared to the conventional data mining algorithm.
Analysis System of MICE Tourism Economic Development Strategy Based on Machine Learning Algorithm
Authors: Hu Bin , Yan Bin
Published: August 2022

The environmental effect of the meetings, incentives, conventions, and exhibitions (MICE) industry is as extensive as its economic impact. Visitors attending events use a wide range of service providers, including airline car rental firms, restaurants, hotels, theaters, and tour operators. Traditionally used tourism demand forecasting approaches rely heavily on univariate time series and multivariate regression models. Although these function-based prediction systems have demonstrated some effectiveness in forecasting tourism, they are unable to accurately capture the link between tourist demand and supply as a feed-forward neural network does (FFNN). Research has shown that an FFNN can outperform regression and time-series algorithms when it comes to forecasting tourism data. This research, for the first time, expands the use of neural networks in tourist demand creation by combining a hybrid FFNN and chimp optimization learning algorithm (i.e., FFNN-ChOA) into a nonlinear tourism demand dataset. In terms of predicting accuracy, FFNN-ChOA surpasses traditional backpropagation neural networks, regression models, and time-series models.
Intelligent Detection and Analysis of Wearable Devices in Wushu Training
Authors: Yi Yongdan , Yu Tingting
Published: August 2022

With the integration and development of artificial intelligence and medical technology, wearable intelligent technology has become an important health testing equipment in people’s lives, constantly testing physical function and health. However, according to the movement standards, body indicators, and constantly changing detection indexes of athletes in the exercise process, it can effectively guide athletes to use them correctly and efficiently, which has become an important task of wearable intelligent technology. In the design mode of wearable smart devices, wearable bracelets are designed with acceleration sensors, martial arts training data are measured, and machine learning technology is used to analyze and evaluate the data. When a user uses the method, a sensor is used for collecting the data, the data are transmitted to a processing platform through low-power Bluetooth, the data are analyzed through a program, the accuracy of each action is output, and finally, a standard measurement result of a section of the boxing method is combined. This paper collects and analyzes the data of body characteristics and movement characteristics of wearable intelligent devices in Wushu training. Sensor technology and filtering technology are used to collect and filter the collected information, and better analysis data are obtained. Finally, the filtered data of Wushu are analyzed, and then, the efficiency and performance of different algorithms in Wushu training are compared. Wearable intelligent equipment collects Wushu action training data and then uses fixed threshold classification to recognize Wushu action. The results show that the method used has high accuracy.
Quality Evaluation of Environmental Accounting Information Disclosure of Y Nonferrous Metal Company Based on AHP‐FCE Model
Authors: Li Yan
Published: August 2022

Environmental accounting information disclosure is an important way to achieve the goal of “carbon peak carbon neutrality”, which plays a role in the link between economic development and environmental protection. Select Y Non‐Ferrous Metal Company for case analysis, use the AHP‐FCE model for comprehensive evaluation of environmental accounting information quality of the company, which use analytic hierarchy process to determine the evaluation factors and factors of weight value, and then use fuzzy synthesis method for multi‐level fuzzy comprehensive evaluation. The results show that as a state‐owned enterprise, the quality level of Y company’s environmental accounting information disclosure is in the “general” level in the past 5 years, and the intensity of government environmental regulation will promote the quality of the company’s environmental accounting information disclosure. Non‐ferrous metal companies should enhance the concept of environmental protection, strengthen the awareness of environmental accounting information disclosure, promote technological innovation in energy conservation and emission reduction, and reduce carbon emission intensity. The government should also provide a favorable social environment and policy support for the non‐ferrous metal industry to implement environmental accounting information disclosure, formulate relevant laws and regulations, and continuously strengthen supervision.
Diagnostic Value of Specialist Systems in Sports Knee Injuries
Authors: Chen Xi , Yu Ao , Cai Ning , Wei Saite , Tong Yongqing
Published: August 2022

In order to explore the diagnostic effect of the expert system in knee sports injury, a method of diagnostic value of expert system in sports knee sports injury is proposed. This paper mainly takes 200 professional football players in sports higher vocational colleges as the research object. There are 146 male athletes and 44 female athletes; we establish a football injury ontology knowledge base and use a reasoning engine to build an intelligent expert system diagnosis system, allowing users to quickly discover diseases, accurately diagnose injuries, and obtain the best means of rehabilitation. Through the investigation, it can be seen that the body parts caused by football injuries are more complex, and the types of injuries in each part are also different. Therefore, it is particularly important to establish an intelligent retrieval system with convenient query and clear diagnosis by the expert system. With the birth and development of computer and artificial intelligence technology, the development of artificial intelligence expert systems in the medical field has become a reality. The construction of this system will have theoretical and practical significance and application value.
[Retracted] LRSAM1 E3 Ubiquitin Ligase Promotes Choriocarcinoma Progression and Metastasis via p53/p21 Signaling Impediment
Authors: Li Qiumin , Wang Ying , Liu Feifei , Wang Haili , Fan Yangyang
Published: August 2022

Objective. The E3 ubiquitin ligase LRSAM1 (LRSAM1) was involved in many cancers, but whether it exerts anti‐ or protumor efficacies on choriocarcinoma cellular structures remains unknown. We wanted to explore the efficacies of aberrant LRSAM1 expression on human choriocarcinoma cellular structures and the underlying mechanisms. Methods. LRSAM1 mRNA expressions in choriocarcinoma lines of cells JEG‐3 and JAR cellular structures, as well as HTR8/sev8 human trophoblastic cell line cellular structures, were assessed using assay analysis of quantitative real‐time polymerase chain reactions. We compared cell proliferation, migratory flow, invasive force, adhesion, and apoptotic process between cellular structures infected with si‐LRSAM1 plasmids versus negative controls using CCK‐8, clone formation, Transwell, adhesion, and flow cytometry assays. Protein expressions of LRSAM1, E‐cadherin, and N‐cadherin (indicators of epithelial‐mesenchymal transformation) and p53/p21 pathway components were quantitated using a Western blot assay. The morphology of tumor lesions was observed in xenografted nude mice using immunohistochemistry (IHC) analyses. Results. LRSAM1 was markedly overexpressed within JEG‐3 and JAR choriocarcinoma cellular structures compared to HTR8/sev8 trophoblast cellular structures. Compared to si‐NC, LRSAM1 knockdown robustly restricted cell proliferating, migratory flow, invasive force, and adhesion and fueled apoptotic cell process in JEG‐3 as well as JAR cellular structures and suppressed tumor growth, as evidenced by the reduction in tumor volume and weight in naked mice inoculated with transfected cellular structures. Compared to si‐negative control (si‐NC), si‐LRSAM1 significantly decreased Ki67 (a proliferating indicator) and N‐cadherin expressions but reduced E‐cadherin expression in JEG‐3 and JAR cellular structures. Blocking the p53/p21 pathway by pifithrin‐a (a p53 restrictor) successfully reversed the anti‐inhibitory effect of LRSAM1 depletion, resulting in enhanced proliferating and metastasis in JEG‐3 and JAR cellular structures. Conclusion. LRSAM1 exerts tumorigenic roles in choriocarcinoma. Via the activating of the p53/p21 pathway of signaling and impediment of choriocarcinoma cell proliferating, migratory flow, and invasive force, LRSAM1 knockdown slows the course of the disease. For choriocarcinoma diagnosis and treatment, it serves as a new therapeutic target.