bluuebunny/crossref_metadata_2025 huggingface dataset:
Residual inflammatory risk predicts long-term outcomes following stenting for symptomatic intracranial atherosclerotic stenosis
Authors: Yu Ying , Lou Yake , Pan Yuesong , Yan Long , Fu Weilun , Hou Zhikai , Cui Rongrong , Miao Zhongrong , Wang Yongjun , Lou Xin , Ma Ning
Published: August 2023

Background and purpose

Residual inflammatory risk (RIR) can predict the unfavourable outcomes in patients with minor ischaemic stroke. However, the impact of preprocedural RIR on long-term outcomes in patients with symptomatic intracranial atherosclerotic stenosis (sICAS) who underwent stenting remains understudied.

Methods

This retrospective, single-centre cohort study evaluated consecutive patients with severe sICAS who underwent intracranial stenting. Patients were categorised into four groups based on preprocedural high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L) and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). The long-term clinical outcomes included recurrent ischaemic stroke and death. The long-term imaging outcomes consisted of in-stent restenosis (ISR) and symptomatic ISR (sISR) after stenting.

Results

In this study, 952 patients were included, with 751 (78.9%) being male. Forty-six cases were categorised into the RCIR group, 211 into the RIR group, 107 into the RCR group and 588 into the NRR group. Patients with RCIR (adjusted HR 6.163; 95% CI 2.603 to 14.589; p<0.001) and RIR (adjusted HR 2.205; 95% CI 1.294 to 3.757; p=0.004) had higher risks of recurrent ischaemic stroke than those with NRR during the 54 months of median follow-up time. Patients with RCIR (adjusted HR 3.604; 95% CI 1.431 to 9.072; p=0.007) were more likely to occur ISR, and patients in the RIR group showed a significant increase in the risk of sISR (adjusted HR 2.402; 95% CI 1.078 to 5.351; p=0.032) compared with those in the NRR group with a median follow-up time of 11.9 months.

Conclusions

In patients with sICAS, preprocedural RIR may predict long-term recurrent ischaemic stroke, ISR and sISR following intracranial stenting.
Robustness of dual-layer networks considering node load redistribution
Authors: Ma Jinlong , Xin Jiahui
Published: August 2023

To investigate the spread of cascading failure on dual-layer networks, we propose a dual-layer network model based on eigenvector centrality and define network interactions through different connection strategies. Following the local priority reallocation rule of load and the nonlinear relationship between load and capacity, we conduct theoretical analysis of the proposed model and simulate it on the BA scale-free network. The result simulation shows that under different connection strategies, when the controllable coefficient [Formula: see text] of the initial load, the dual-layer network demonstrates better robustness regardless of attacking a node with a large initial load or a small initial load. And when [Formula: see text], the robustness of the network for attacking a node with low initial load is enhanced as the node coupling rate of the dual-layer network increases. For [Formula: see text], the variation of network robustness does not vary essentially with the node coupling rate.
IMPACT OF DIGITAL ECONOMY DEVELOPMENT ON CARBON EMISSIONS IN CHINA
Authors: ZHANG YIXIANG , TANG MEIWEI
Published: August 2023

This study uses the panel quantile regression model and conducts path analysis to examine the impact of inter-provincial digital economy development in China on carbon emission reduction. Results reveal several key points: First, the impact of digital economy development on carbon emission reduction varies significantly across quantiles; it can promote or inhibit emissions and shows an inverted “U” relationship. Second, the inhibition effect of the digital economy on carbon emissions is significantly stronger than the growth effect. Third, more than half of the studied regions show an inhibitory effect of the digital economy on carbon emissions, primarily through indirect impact paths. Among these paths, the three most significant ones are the improvement of urbanization level, resident affluence level, and per capita gross domestic product (GDP). Policy recommendations are discussed.
Feigin–Semikhatov conjecture and related topics
Authors: Nakatsuka Shigenori
Published: August 2023

Feigin–Semikhatov conjecture, now established, states algebraic isomorphisms between the cosets of the subregular [Formula: see text]-algebras and the principal [Formula: see text]-superalgebras of type A by their full Heisenberg subalgebras. It can be seen as a variant of Feigin–Frenkel duality between the [Formula: see text]-algebras and also as a generalization of the connection between the [Formula: see text] superconformal algebra and the affine algebra [Formula: see text].

We review the recent developments on the correspondence of the subregular [Formula: see text]-algebras and the principal [Formula: see text]-superalgebras of type A at the level of algebras, modules and intertwining operators, including fusion rules.
Generalized momentum implied by GUP with a nonrelativistic harmonic oscillator
Authors: Khorram-Hosseini Seyed Amin , Zarrinkamar Saber , Panahi Hossein
Published: August 2023

In this paper, we consider the Schrödinger equation with a generalized form of uncertainty principle and solve the problem up to a third-order correction to the arising equation. The particle in box and harmonic oscillator cases is considered in this formulation and various thermodynamic properties are reported including entropy, internal energy, chemical potential, specific heat, etc. Various consequences of the GUP are commented.
Axial-vector form factor of nucleons at finite temperature from the AdS/QCD soft-wall model
Authors: Mamedov Shahin , Nasibova Narmin
Published: August 2023

The axial-vector form factor of the nucleons is studied at a finite temperature using the holographic soft-wall model with the thermal dilaton field. We use the bulk interaction action known from the zero temperature case and apply the profile functions of fields thermalized by the interaction with the thermal dilaton field. The dependence of the axial form factor on the square of the transferred momentum and the temperature is plotted for the ground and excited states of the nucleons.
Research on Text Emotion Analysis Based on BMCBMA Model in Online Education Environment
Authors: Tian Mijuan , Fu Rong
Published: August 2023

This paper suggests a text emotion analysis approach built on the BMCBMA model for use in an online education environment aiming at the issues of poor text utilization, challenge in effective information extraction, and a failure to effectively recognize word polysemy in existing text emotion analysis task research. Initially, a language model is constructed using Bidirectional Encoder Representations from Transformers (BERT) pre-training. The word vector trained by BERT pre-training is selected to supplant the word vector trained in the conventional manner, and the semantic vector is generated dynamically using the context of the word. Second, the Bi-directional Long Short-Term Memory (BiLSTM) model is employed to record semantic information by simultaneously integrating both positive and negative orientations to assess the emotional polarity information for every text in its entirety. The Multi-channel Convolutional Neural Networks (CNN) model is then utilized to derive textual local feature information of text. Lastly, the attention mechanism is used to cause all types of features to interact and to derive a deeper semantic association within the context. Experiments indicate that the suggested method has accuracy, F1, recall, and precision values of 0.915, 0.911, 0.915 and 0.908, correspondingly. The suggested approach performs significantly better in text emotion analysis than the comparison method.
Compact and High-Speed All-Optical 2n:1 Multiplexer Scheme Using MRRs
Authors: Srivastava Mayank , Kumar Ajay , Bhardwaj Kapil , Mahanty Sushanta , Srivastava Devesh Kumar , Singh Ramendra
Published: August 2023

The purpose of this research paper is to present a new all-optical scheme to implement the logical behavior of generalized [Formula: see text]th-order (2[Formula: see text]:1) multiplexer logic. The proposed all-optical design is based on micro-ring resonator (MRR)-based all-optical switches and constructed by using “2[Formula: see text]-2” MRR structures, arranged in a series “[Formula: see text]” stage architecture. The presented configuration enjoys advantageous features like compact-sized systematic structure and ultra-fast speed. To validate the logical behavior of the proposed [Formula: see text]th-order multiplexer, a second-order (22:1) multiplexer is derived (from the proposed scheme) and discussed. Further, the usability of the presented all-optical multiplexer is demonstrated by developing an all-optical reconfigurable logic gate that can be reconfigured to perform various logic operations. To verify the logical behavior of MRR-based all-optical switch and presented all-optical multiplexer logic, numerical simulations through MATLAB software have been performed. The reported reconfigurable logic structure is also simulated in the MATLAB environment to validate the desired behavior.
Autonomous Inspection Method of UHV Substation Robot Based on Deep Learning in Cloud Computing Environment
Authors: Wang Zhao-lei , Meng Rong , Zhao Zhi-long
Published: August 2023

Aiming at the problem that substation robots cannot automatically find and analyze the fault equipment and carry out patrol inspection, a method of autonomous patrol inspection for ultra-high voltage (UHV) substation robots based on deep learning in cloud computing environment is proposed. Firstly, based on the cloud computing environment, an autonomous patrol system is designed to upload the data obtained by robots to the cloud platform for processing, so as to complete data analysis quickly and with high quality. Then, the deep learning algorithm (DL) is used for fault diagnosis, and the FP-growth algorithm is combined to realize the association mining of fault data, so as to clarify the patrol order of fault-related nodes. Finally, the improved ant colony algorithm (IAC) is used to optimize the path of the robot to complete the reliable inspection of the substation in the shortest time. Based on the selected UHV substation, the experimental analysis of the proposed method shows that the fault diagnosis error rate and time are about 4.3% and 14.2[Formula: see text]s, respectively, and the patrol path is only 180.351[Formula: see text]m, and the patrol time is 19.708[Formula: see text]s, which can realize the optimal patrol of the robot.
Bikei module invariants of unoriented surface-links
Authors: Joung Yewon , Nelson Sam
Published: August 2023

We extend our previous work on biquandle module invariants of oriented surface-links to the case of unoriented surface-links using bikei modules. The resulting infinite family of enhanced invariants proves be effective at distinguishing unoriented and especially non-orientable surface-links; in particular, we show that these invariants are more effective than the bikei homset cardinality invariant alone at distinguishing non-orientable surface-links. Moreover, as another application we note that our previous biquandle modules which do not satisfy the bikei module axioms are capable of distinguishing different choices of orientation for orientable surface-links as well as classical and virtual links.
Gamma-ray mean lifetimes of transitions 2+→0+ state for even–even nuclei in the range 58≤Z≤100
Authors: Vasudha G. S. , Sowmya N. , Manjunatha H. C. , PrakashBabu D.
Published: August 2023

We explored [Formula: see text]-ray mean lifetimes of transitions [Formula: see text] state suggested by earlier researchers such as Grodzins [Phys. Lett. 2 (1962)], Bohr and Mettelson [Mat. Fys. Medd. Dan. Vid. Selsk 27 (1953) 1], Wang’s formula [Chin. J. Phys. 18 (1980) 151], and best global fit formulae [Phys. Rev. C 37 (1988) 805], equations accessible in the literature for nuclei ranging from [Formula: see text]Ce to [Formula: see text]Fm. Also, as compared to other equations accessible in the literature, the standard deviation observed utilizing Grodzins formula with regard to experiments was lower. We also forecasted [Formula: see text]-ray mean lifetimes of transitions [Formula: see text] state and [Formula: see text]-values for nuclei ranging from [Formula: see text]Ce to [Formula: see text]Fm. Around 136 even–even nuclei’s mean lifetimes and [Formula: see text]-values are predicted which are helpful in the Coulomb fission process.
NONLINEAR DYNAMIC BEHAVIORS OF THE FRACTIONAL (3+1)-DIMENSIONAL MODIFIED ZAKHAROV–KUZNETSOV EQUATION
Authors: WANG KANG-JIA , XU PENG , SHI FENG
Published: August 2023

This paper derives a new fractional (3+1)-dimensional modified Zakharov–Kuznetsov equation based on the conformable fractional derivative for the first time. Some new types of the fractal traveling wave solutions are successfully constructed by applying a novel approach which is called the fractal semi-inverse variational method. To our knowledge, the obtained results are all new and have not reported in the other literature. In addition, the dynamic characteristics of the different solutions on the fractal space are discussed and presented via the 3D plots, 2D contour and 2D curves. It can be found that: (1) The fractal order can not only affect the peak value of the fractal traveling waves, but also affect the wave structures, that is, the smaller the fractional order value is, the more curved the waveform is, and the slower waveform changes. (2) In the fractal space, the fractal wave keeps its shape unchanged in the process of the propagation and still meets the energy conservation. The methods in this paper can be used to study the other fractal PDEs in the physics, and the findings are expected to bring some new thinking and inspiration toward the fractal theory in physics.
On some notions of algebraically closed σ-fields
Authors: Aryapoor Masood
Published: August 2023

The concept of a skew root of a skew polynomial is used to introduce some notions of algebraic closedness for [Formula: see text]-fields. By a [Formula: see text]-field, we mean a field equipped with an endomorphism. It is shown that every [Formula: see text]-field can be embedded in algebraically closed [Formula: see text]-fields of different types. Moreover, a twisted version of the method of partial fraction decomposition is introduced and studied over algebraically closed [Formula: see text]-fields.
COMPUTATIONAL STUDY OF UNSTEADY PULSATILE BLOOD FLOW THROUGH A POROUS MULTI-IRREGULAR VERTICAL STENOSED ARTERY: IMPACTS OF HOMOGENEOUS–HETEROGENEOUS REACTIONS
Authors: EL KOT M. A. , ABD ELMABOUD Y.
Published: August 2023

Homogeneous and heterogeneous reactions are significant because many chemically reactive systems, such as biochemical systems, involve both types of reactions. This paper sheds light on the effects of homogeneous–heterogeneous reactions on magnetohydrodynamic blood flow through the catheterized multi-irregular vertically stenosed artery in non-Darcy porous media. The governing partial differential equations are simplified using mild stenosis approximations and then transformed into the computational domain to simplify the numerical calculations. It has been noticed that the fluid velocity and the flow rate go to their maximum values after a short time, and they decrease with fluctuation in the case of pulsating, but in the case of nonpulsatile, the behavior is steady. Moreover, an increase in the homogeneous heat reaction parameter decelerates the blood velocity, the flow rate and elevates the fluid temperature. Furthermore, the concentration reaches the steady state faster in the absence of a homogeneous thermal reaction.
IS DISRUPTION DECREASING, OR IS IT ACCELERATING?
Authors: BENTLEY R. ALEXANDER , VALVERDE SERGI , BORYCZ JOSHUA , VIDIELLA BLAI , HORNE BENJAMIN D. , DURAN-NEBREDA SALVA , O’BRIEN MICHAEL J.
Published: August 2023

A recent highly publicized study [Park, M., Leahey, E. and Funk, R. J., Papers and patents are becoming less disruptive over time, Nature 613 (2023) 138–144] claiming that science has become less disruptive over recent decades represents an extraordinary achievement but with deceptive results. The measure of disruption, CD5, in this study does not account for differences in citation amid decades of exponential growth in publication rate. In order to account for both the exponential growth as well as the differential impact of research works over time, here we apply a weighted disruption index to the same dataset. We find that, among research papers in the dataset, this weighted disruption index has been close to its expected neutral value over the last fifty years and has even increased modestly since 2000. We also show how the proportional decrease in unique words is expected in an exponentially growing corpus. Finding little evidence for recent decrease in disruption, we suggest that it is actually increasing. Future research should investigate improved definitions of disruption.
Exploring the Patent Collaboration Network of Bioenergy Technology: Evidence from Provinces along the Belt and Road in China
Authors: Liu Weiwei , Li Fangye , Bi Kexin
Published: August 2023

Bioenergy is a significant renewable energy source with great potential for addressing global environmental challenges. This study aims to construct and analyze the patent collaboration network of bioenergy in Chinese provinces along the Belt and Road (BR) initiative. By collecting and analyzing co-patents from the China National Intellectual Property Administration (CNIPA) between 1993 and 2017, this research investigates the network’s structure, evolution, and the provincial differences in bioenergy technology development. The results reveal an increasing number of co-patents since 2006. I-I, E-E, E-R, and E-U are common types of collaboration, and this paper believes that E-E will be the most important type in the future. The network is relatively sparse and in its early development stage. However, the cohesion of the network is gradually increasing, and it has good development potential. From the perspective of IPC, the scope of patents for bioenergy is relatively narrow, and the breadth and depth of research need to be improved. Moreover, the study highlights Guangdong as a promising province for bioenergy and emphasizes the close collaboration between provinces along the Belt and Road and those not along it, such as Guangdong and Jiangsu.
Radical transversal screen slant lightlike submersions from indefinite Sasakian manifolds onto lightlike manifolds
Authors: Shukla S. S. , Singh Vipul
Published: August 2023

In this paper, we introduce the notion of radical transversal screen slant lightlike submersions from indefinite Sasakian manifolds onto lightlike manifolds with examples. We obtain an existence theorem and study the geometry of distributions involved in the definition. Moreover, we define the notion of radical transversal screen semi-slant lightlike submersions with examples and prove a characterization theorem. We also study the integrability and totally geodesic foliations of distributions on a fiber of these lightlike submersions.
Anisotropic compact stars admitting karmarkar condition in f(𝒬) theory
Authors: Rani Shamaila , Adeel Muhammad , Gul M. Zeeshan , Jawad Abdul
Published: August 2023

The major goal of this study is to examine the viability and stability of anisotropic compact stellar objects using the Karmarkar condition in [Formula: see text] gravity, where [Formula: see text] is a scalar of nonmetricity that explains gravitational effects. We consider a static spherical metric in inner and Schwarzschild spacetime in outer regions of the star to analyze the physical attribute of Vela [Formula: see text], SAX J 1808.4−3658, 4U 1608−52, PSR J0348+0432 and 4U 1820−30 compact stars. The unknown parameters are determined through observational values of the radius and mass of the considered compact stars. We take a specific model of this theory to evaluate the energy density, pressure elements, anisotropy, equation of state parameters and energy bounds in inner region of suggested stellar objects. The equilibrium position of these stars is examined through Tolman–Oppenheimer–Volkoff equation and their stability checked by Herrera cracking method and adiabatic index. We find more viable as well as stable compact stars in this modified theory.
A Data-Driven Approach to Generating Stochastic Mesoscale 3D Shale Volume Elements From 2D SEM Images and Predicting the Equivalent Modulus
Authors: Hong Yang , Li Xiang , Gao Yue , Liu Zhanli , Yan Ziming , Zhuang Zhuo
Published: August 2023

Research on the mechanical properties of shale has contributed to the success of shale exploitation. These studies have revealed a strong correlation between the complex mesoscale structure of shale, its pronounced heterogeneity, and the varying equivalent modulus. However, conventional numerical methods face efficiency challenges in investigating the equivalent modulus of mesoscale three-dimensional (3D) shale samples. This research proposes a data-driven workflow for stochastic generation and equivalent modulus prediction of 3D shale volume elements, utilizing a limited set of two-dimensional (2D) SEM images from shale samples. First, 3D volume elements of mesoscale shale, which maintain the distribution characteristics of the mineral constituents observed in the 2D samples, are generated based only on the 2D SEM images using SliceGAN. Second, a dataset comprising the 3D mesoscale shale volume elements and their corresponding equivalent moduli is constructed using the finite element method. Then, a prediction model based on ResNet-18 is developed to predict the equivalent moduli of the shale volume elements. The proposed workflow provides a practical method for generating stochastic 3D samples and efficiently evaluating their mechanical properties. Furthermore, it fosters a better understanding of the behavior of mesoscale shale and paves the way for exploring similar applications in materials with complex mesoscale components.
Sensitivity Study of Seismic Amplification Effect of Large-Scale Sichuan Basin on Key Parameters During the Great Wenchuan Earthquake
Authors: Yu Yanyan , Liu Qifang , Ding Haiping
Published: August 2023

The effect of soil parameters on basin amplification effect has been widely investigated, especially for the small and medium-sized basins under plane wave incidence or point source ruptures. However, the sensitivities of seismic amplification effect of large-scale basins with respect to soil parameters during great earthquakes with tremendous rupture faults have obtained relatively less attention. In this paper, based on the established three-dimensional Sichuan basin model, the effects of four material parameters of the basin sediments, including the shear wave velocity, Poisson’s ratio, and the shear quality factor of the Quaternary sediment, as well as the velocity of the rock above the basin crystalline basement (which will be referred as SVQS, PRQS, QFQS, and VCBR, respectively), on the long-period wave amplification patterns of the Sichuan basin during the great Wenchuan earthquake are investigated by using the spectral element method and parallel computing technique. The results show the following: (1) SVQS has the greatest influence on the basin horizontal component ground motions, while the vertical component is comparably insensitive to it. (2) PRQS demonstrates comparable effects on the horizontal and vertical basin ground motions. With the increase of PRQS, the amplitudes and regions of the strong shakings both become smaller. However, the influence of PRQS is less significant compared with SVQS and VCBR. (3) QFQS mainly affects the relatively high-frequency motions inside the basin, and the low-frequency motions are generally insensitive to it. With the reduction of QFQS, the amplitudes and regions of the basin strong ground motions turn a little smaller, but the distribution features are generally unchanged. (4) Effects of VCBR on the horizontal and vertical component basin ground motions are opposite. With the growth of VCBR, the amplitudes and areas of strong horizontal motions increase consequently, but they decrease for the vertical component.
Fractional view analysis of the transmission dynamics of norovirus with contaminated food and water
Authors: Ahmad Ashfaq , Ali Rashid , Ahmad Ijaz , Ibrahim Muhammad
Published: August 2023

Norovirus infection has been documented to have a significant economic impact in different regions of the world. Even though young children bear the greatest economic burden, older age groups in some locations have the highest costs per illness. Most of these costs result from lost production caused by acute illnesses. This viral infection causes inflammation of the intestines and stomach, also called stomach flu and food poisoning. Our research work constructs a new compartmental model of norovirus infection based on contaminated water and food contamination to conceptualize how norovirus spreads. The proposed dynamics of norovirus have been presented in the fractional Caputo framework. We present the Caputo operator’s rudimentary results for the system’s examination. By applying the fixed point theory to the system, the existence theory has been investigated. To inspect the solution pathways of norovirus infection, we introduce a novel numerical scheme to explore the dynamical behavior of the system. Finally, a numerical investigation has been done to show the impact of different factors of the system for the control of norovirus illness. We suggested the most critical factors of the system to the policymakers to control and prevent infection in the community.
Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks
Authors: Bernacki Jaroslaw , Scherer Rafal
Published: August 2023

In this paper, we consider the issue of digital camera identification based on images. This topic matches the area of digital forensics. The problem is well known in the literature and many algorithms based on camera’s fingerprint have been proposed. In this paper, we discuss the digital camera identification based on convolutional neural networks (CNN). CNNs are state-of-the-art method in computer vision and are widely utilized in many applications. Our goal is to find out whether it is possible to speed up the process of learning the networks by the images. We conduct a set of representative experiments which show that replacing the ReLU with SELU activation function and adjusting the network’s hyperparamethers (e.g. learning rate) may have a significant impact on reduction time of learning. We also consider using the dropout layer. The experiments are held on representative image dataset, consisting of many images coming from modern cameras and show effectiveness of our propositions.
Density Functional Theory Computation of the Electronic, Elastic, Phonon, X-ray Spectroscopy, and the Optoelectronic Properties of CsXI3(X: Si, Ge, Sn) Halide Perovskite Materials
Authors: Adalikwu Stephen A. , Louis Hitler , Etiese Daniel , Chukwu Udochukwu G. , Agwamba Ernest C.
Published: August 2023

Perovskites are a promising candidate for various applications including solar cells, light-emitting diodes, photodetectors, and photocatalyst owing to their exceptional properties. However, their long-term stability remains a critical challenge that hinders their widespread use. In this study, we explore key stability factors pertaining to perovskites by examining the structural, mechanical, phonon, thermodynamic, X-ray and optoelectronic properties of CsXI3 (X: Si, Ge, Sn) using density functional theory (DFT) method, employing the plane wave self-consistent field (PWscf) code embedded in the Quantum Espresso Simulation Package (QESP). From the results, the investigated materials show a tolerance factor of 0.9846, 1.1096, and 0.9982, and octahedral factor of 0.4223, 0.2621, and 0.4029 for CsGeI3, CsSiI3, and CsSnI3, respectively. It was further discovered that the bulk modulus of each crystal dependent on the boiling point of the[Formula: see text] cation in CsXI3 were the values obtained, which are 7.86, 19.23, and 22.72 corresponding to CsGeI3, CsSiI3, and CsSnI3, respectively. The band structure results clearly indicate a substantial overlap between the valence band and the conduction band of CsXI3 (X: Si, Ge, Sn), resulting in a complete absence of a bandgap. This observation strongly suggests that the perovskite compound exhibits metallic properties. This study demonstrates a novel method for obtaining stable perovskites of cesium halide suitable for applications in solid-state electronics.
Towards Development of High-Performance Perovskite Solar Cells Based on Pyrrole Materials for Hole Transport Layer by Using Computational Approach
Authors: Rafiq Mahira , Mahr Muhammad Shabir , Imran Rida , Shaban Mohamed , Al-Saeedi Sameerah I. , Hasanin Tamer H. A. , Salim Maham , Ibrahim Mahmoud A. A.
Published: August 2023

Perovskite solar cells (PSCs) have emerged as innovative materials in advanced photovoltaic technology due to their enhanced efficiency and good stability. While considering role of dopant materials in HTMs especially Spiro-OMeTAD through previous studies, a bi-functional dopant named PFPPY has been brought into special attention. Based on framework of experimentally synthesized PFPPY, five dopant molecules (P1–P5) have been designed through structural alterations at peripheral sites. These newly developed molecules, sharing a common core i.e. 1,4-dihydropyrrolo[3,2-b]pyrrole (PPY), were then theoretically studied and related to reference via computational approach. Distribution of frontier molecular orbitals (FMOs) along with density of states, spectral properties, reorganizational energies, binding energy, and transition density matrix analysis was practiced at [Formula: see text]B97XD functional using DFT and TD–DFT methodology. Bathochromic shift of absorption (in dichloromethane) was clearly observed for all designed dopants (P1–P5) than reference PFPPY which sets the ways for reduced optical band gaps ([Formula: see text]. The energy gaps ([Formula: see text] of these five novel designed materials were found to be lesser comparaed to PFPPY which leads to excellent ICT properties. Of all dopant molecules, highest dipole moment (6.511401 D) possessed by P4 is credited to its maximum absorption peak (1008 nm) in infrared region. However, greater hole transfer rate was disclosed by P1 relative to other designed dopants because of its lowest reorganization energy values. According to above computed results, we expect that molecular engineering of pyrrole-based dopant molecules (P1–P5) will allow them to act as promising HTMs. Conclusively, these molecules have potential to substitute PFPPY and are highly recommend in photovoltaic field for future work.
Influence of Pyramidal M20 (M= Cu, Ag and Au) Clusters on SERS and Noncovalent Interactions toward Tuberculosis Drug Pretomanid (PTD): DFT Study
Authors: Al-Otaibi Jamelah S. , Mary Y. Sheena , Mary Y. Shyma , Acharjee Nivedita , Al-Saadi Abdulaziz A. , Gamberini Maria Cristina
Published: August 2023

The study of interaction and adsorption of drug molecules on the active surface of noble metal nanocluster is of particular interest due to effective change in the properties of the drug molecules. Surface-enhanced Raman scattering (SERS) theoretical calculations were performed to investigate the adsorption properties of pretomanid (PTD) on pyramidal [Formula: see text]/[Formula: see text]/[Formula: see text] metal clusters. The charge transfer process from the [Formula: see text] pyramids is revealed by MEP and electronic analysis. The frequencies of PTD are enhanced in the PTD–metal complexes due to the noticeable SERS effect, and the binding energies were calculated to be −36.2 kcal/mol, −46.3 kcal/mol and −43.6 kcal/mol with Ag, Au and Cu structures, respectively. For the PTD–metal clusters, there is an entire potential rearrangement due to adsorption process which is due to charge transfer and adsorptions as chemisorption. The polarizability variations are predicted in the order PTD–Au > PTD–Cu > PTD–Ag which contribute the SERS enhancement due to adsorption. Changes in thermodynamic parameters reveal that adsorption is exothermic and at the same time spontaneous with ordered interactions due to the negative values. There is a redshift for the ultraviolet–visible (UV–vis) absorption of PTD–metal complexes with a lowering intensity in comparison with that of PTD, more likely indicating a chemisorption process. SERS enhancement factors are remarkable due to adsorption of conformationally flexible PTD on metal clusters. The noncovalent interactions between PTD and the metal pyramids were also determined. The study provided key information on designing a molecular structure with a good pharmacological profile by calculating bioactivity and drug similarity parameters for bioactive drug molecules.
Functional Coatings for Built Environments Based on Nanotechnology
Authors: Ong Pin Jin , Wang Suxi , Suwardi Ady , Cao Jing , Wang Fuke , Yin Xuesong , Wang Pei , Wei Fengxia , Kai Dan , Ye Enyi , Xu Jianwei , Chua Ming Hui , Thitsartarn Warintorn , Zhu Qiang , Loh Xian Jun
Published: August 2023

Coatings provide underlying item surfaces or bulk materials with protection, enhancement, and/or additional usefulness and attributes. Since materials can be modified or enhanced to possess different properties such as mechanical, thermal, or chemical to improve urban built environment functions, nanotechnologies have been widely included in functional coatings in recent years. Recent studies on functional coatings for green and smart buildings are summarized in this review paper. These comprised phase change materials, photocatalytic, hydrophilic, hydrophobic, solar reduction, and solar utilization coatings. This study offers a thorough overview of functional coating methods, from the production of raw materials through their application to building components.
Random Projections for Linear Programming: An Improved Retrieval Phase
Authors: Liberti Leo , Manca Benedetto , Poirion Pierre-Louis
Published: August 2023

One way to solve very large linear programs in standard form is to apply a random projection to the constraints, then solve the projected linear program [
63
]. This will yield a guaranteed bound on the optimal value, as well as a solution to the projected linear program. The process of constructing an approximate solution of the original linear program is called solution retrieval. We improve theoretical bounds on the approximation error of the retrieved solution obtained as in Reference [
42
] and propose an improved retrieval method based on alternating projections. We show empirical results illustrating the practical benefits of the new approach.
Influence of Work Motivation, Interpersonal Skills, and Knowledge Construction on the Work Readiness of Vocational Students
Authors: Indrawati Cicilia Dyah Sulistyaningrum , Subarno Anton , Winarno Winarno , Permansah Sigit , Wirawan Arif Wahyu , Rusmana Dede
Published: August 2023

Vocational high schools play an important role in connecting graduates to industry to provide professional workforce input. However, modern times demand an increase in the quality of complex human resources to effectively prepare them to work in the industry. This study examined the relationship between the effects of interpersonal skills and constructive knowledge on work readiness through work motivation. A quantitatively inferential method with a population of vocational high school students was employed. Data were obtained using the structural equation model with the analysis of moment structure 2.4 version application. The research findings showed that interpersonal skills and constructive knowledge have a significant positive effect on work readiness and work motivation interferes with the influence of interpersonal skills and constructive knowledge on work readiness. The results suggest that vocational schools that focus on work readiness need to pay attention to interpersonal skills, constructive knowledge, and work motivation, since they are essential for students. Moreover, this study implies that if we want to improve students’ work readiness, we must enhance their interpersonal skills and constructive knowledge of teaching and learning in vocational schools. Further research should empirically examine this issue to explore other factors that affect students’ work readiness.
Driving Risk Field and Control Strategies for Autonomous Vehicles at a Signalized Intersection
Authors: Xu Hui , Wu Jianping
Published: August 2023

Driving pattern has been increasingly researched to improve driving safety and develop autonomous vehicles. Oriented towards the complex infrastructures at signalized intersections, this research digs into the risk sources brought by different kinds of road elements, including road lane markings, road curbs, median separators, signal timing, and neighboring vehicles around the ego car. Referring to vehicle speed both in the longitudinal and latitudinal dimensions, risk scope and distribution are quantified with the vehicle position of a torus with a Gaussian cross-section. Then, the risk is summed over all the road elements across all the points involved by the ego car, the level of which should be controlled within the threshold value when the ego vehicle explores to minimize trip delay. Thus, autonomous driving strategies are developed with respect to vehicle speed and steering angle. The proposed model is validated with NGSIM data, where a signalized intersection on Peachtree Street is selected and vehicles moving in different directions are analyzed. It is found that the proposed model manages to control vehicles with risk at the accepted level and to enhance the speed level as well as reduce acceleration fluctuations. This research contributes to improving autonomous driving against complex driving conditions for driving safety and efficiency.
Supplementary Data from Tumor Dynamic Model-Based Decision Support for Phase Ib/II Combination Studies: A Retrospective Assessment Based on Resampling of the Phase III Study IMpower150
Authors: Bruno René , Marchand Mathilde , Yoshida Kenta , Chan Phyllis , Li Haocheng , Zou Wei , Mercier Francois , Chanu Pascal , Wu Benjamin , Lee Anthony , Li Chunze , Jin Jin Y. , Maitland Michael L. , Reck Martin , Socinski Mark A.
Published: August 2023

Supplementary Tables
Table S3 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Hallmarks of with/without Beyond PD treatment with EGFR TKI group
Figure S8 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Schema of DNA and RNA panel sequencing, and transcriptional profiling
Figure S7 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Immunoblot analysis of indicated proteins from PC 9 cells treated with the indicated concentrations of trametinib for 24 h.
Figure S6 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Box-and-whisker plot of ZEB1/2, Twist1, and SNAI1/2 mRNA expression in pretreatment and posttreatment samples from all tumors and in subpopulations with
HER3 augmentation.
Figure S5 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

A table of the hallmarks of gene sets observed in posttreatment samples with/without EGFR copy
number gain.
Figure S4 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Box-and-whisker plot of ZEB1/2, Twist1, and SNAI1/2 mRNA expression in samples with/without EGFR copy number gain.
Figure S3 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Scatter plot analysis showing the
relationship between HER 3 mRNA and Twist 1 /Zeb 1 /Zeb 2
mRNA expression level in the study cohort or in the TCGA lung
adenocarcinoma dataset
Figure S2 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Box-and-whisker plot of HER3 copy number in pre and post samples.
Figure S1 from HER3 Augmentation via Blockade of EGFR/AKT Signaling Enhances Anticancer Activity of HER3-Targeting Patritumab Deruxtecan in EGFR-Mutated Non–Small Cell Lung Cancer
Authors: Yonesaka Kimio , Tanizaki Junko , Maenishi Osamu , Haratani Koji , Kawakami Hisato , Tanaka Kaoru , Hayashi Hidetoshi , Sakai Kazuko , Chiba Yasutaka , Tsuya Asuka , Goto Hiroki , Otsuka Eri , Okida Hiroaki , Kobayashi Maki , Yoshimoto Ryoto , Funabashi Masanori , Hashimoto Yuuri , Hirotani Kenji , Kagari Takashi , Nishio Kazuto , Nakagawa Kazuhiko
Published: August 2023

Scatter plot analysis showing the
relationship between HER3 mRNA and HER3 protein level in the TCGA lung adenocarcinoma with the EGFR mutation dataset
TABLE 2 from Gemcitabine, Docetaxel, Capecitabine, Cisplatin, Irinotecan as First-line Treatment for Metastatic Pancreatic Cancer
Authors: Wilbur H. Catherine , Durham Jennifer N. , Lim Su Jin , Purtell Katrina , Bever Katherine M. , Laheru Daniel A. , De Jesus-Acosta Ana , Azad Nilofer S. , Wilt Bradley , Diaz Luis A. , Le Dung T. , Wang Hao
Published: August 2023

Objective responses in the expansion cohort
TABLE 1 from Gemcitabine, Docetaxel, Capecitabine, Cisplatin, Irinotecan as First-line Treatment for Metastatic Pancreatic Cancer
Authors: Wilbur H. Catherine , Durham Jennifer N. , Lim Su Jin , Purtell Katrina , Bever Katherine M. , Laheru Daniel A. , De Jesus-Acosta Ana , Azad Nilofer S. , Wilt Bradley , Diaz Luis A. , Le Dung T. , Wang Hao
Published: August 2023

Baseline characteristics
Supplemental Table S4 from Tusamitamab Ravtansine in Patients with Advanced Solid Tumors: Phase I Study of Safety, Pharmacokinetics, and Antitumor Activity Using Alternative Dosing Regimens
Authors: Tabernero Josep , Bedard Philippe L. , Bang Yung-Jue , Vieito Maria , Ryu Min-Hee , Fagniez Nathalie , Chadjaa Mustapha , Soufflet Christine , Masson Nina , Gazzah Anas
Published: August 2023

Plasma pharmacokinetics of tusamitamab ravtansine (cohort Q2W-LD)
Supplementary Table 2 from Gemcitabine, Docetaxel, Capecitabine, Cisplatin, Irinotecan as First-line Treatment for Metastatic Pancreatic Cancer
Authors: Wilbur H. Catherine , Durham Jennifer N. , Lim Su Jin , Purtell Katrina , Bever Katherine M. , Laheru Daniel A. , De Jesus-Acosta Ana , Azad Nilofer S. , Wilt Bradley , Diaz Luis A. , Le Dung T. , Wang Hao
Published: August 2023

Supplementary Table 2: Related Adverse Events
Supplemental Table S3 from Tusamitamab Ravtansine in Patients with Advanced Solid Tumors: Phase I Study of Safety, Pharmacokinetics, and Antitumor Activity Using Alternative Dosing Regimens
Authors: Tabernero Josep , Bedard Philippe L. , Bang Yung-Jue , Vieito Maria , Ryu Min-Hee , Fagniez Nathalie , Chadjaa Mustapha , Soufflet Christine , Masson Nina , Gazzah Anas
Published: August 2023

Intensity of treatment
Supplemental Table S2 from Tusamitamab Ravtansine in Patients with Advanced Solid Tumors: Phase I Study of Safety, Pharmacokinetics, and Antitumor Activity Using Alternative Dosing Regimens
Authors: Tabernero Josep , Bedard Philippe L. , Bang Yung-Jue , Vieito Maria , Ryu Min-Hee , Fagniez Nathalie , Chadjaa Mustapha , Soufflet Christine , Masson Nina , Gazzah Anas
Published: August 2023

Representativeness of the patient population
Supplemental Figure S2 from Tusamitamab Ravtansine in Patients with Advanced Solid Tumors: Phase I Study of Safety, Pharmacokinetics, and Antitumor Activity Using Alternative Dosing Regimens
Authors: Tabernero Josep , Bedard Philippe L. , Bang Yung-Jue , Vieito Maria , Ryu Min-Hee , Fagniez Nathalie , Chadjaa Mustapha , Soufflet Christine , Masson Nina , Gazzah Anas
Published: August 2023

Tusamitamab ravtansine area under the curve by dose level