bluuebunny/crossref_metadata_2025 huggingface dataset:
TWIN-10: protocol for a 10-year longitudinal twin study of the neuroscience of mental well-being and resilience
Authors: Park Haeme R P , Williams Leanne M , Turner Robin M , Gatt Justine M
Published: July 2022

Introduction

Mental well-being is a core component of mental health, and resilience is a key process of positive adaptive recovery following adversity. However, we lack an understanding of the neural mechanisms that contribute to individual variation in the trajectories of well-being and resilience relative to risk. Genetic and/or environmental factors may also modulate these mechanisms. The aim of the TWIN-10 Study is to characterise the trajectories of well-being and resilience over 12 years across four timepoints (baseline, 1 year, 10 years, 12 years) in 1669 Australian adult twins of European ancestry (to account for genetic stratification effects). To this end, we integrate data across genetics, environment, psychological self-report, neurocognitive performance and brain function measures of well-being and resilience.

Methods and analysis

Twins who took part in the baseline TWIN-E Study will be invited back to participate in the TWIN-10 Study, at 10-year and 12-year follow-up timepoints. Participants will complete an online battery of psychological self-reports, computerised behavioural assessments of neurocognitive functions and MRI testing of the brain structure and function during resting and task-evoked scans. These measures will be used as predictors of the risk versus resilience trajectory groups defined by their changing levels of well-being and illness symptoms over time as a function of trauma exposure. Structural equation models will be used to examine the association between the predictors and trajectory groups of resilience and risk over time. Univariate and multivariate twin modelling will be used to determine heritability of the measures, as well as the shared versus unique genetic and environmental contributions.

Ethics and dissemination

This study involves human participants. This study was approved by the University of New South Wales Human Research Ethics Committee (HC180403) and the Scientific Management Panel of Neuroscience Research Australia Imaging (CX2019-05). Results will be disseminated through publications and presentations to the public and the academic community. Participants gave informed consent to participate in the study before taking part.
Systematic review of spontaneous reports of myocarditis and pericarditis in transplant recipients and immunocompromised patients following COVID-19 mRNA vaccination
Authors: Lane Samantha , Yeomans Alison , Shakir Saad
Published: July 2022

Objectives

To determine whether spontaneous reporting rates of myocarditis and pericarditis differed in immunocompromised patients compared with the whole population overall, and in terms of demographics, vaccine dose and time-to-onset.

Design

Systematic review of spontaneously reported data from the European Union/European Economic Area (EU/EEA), the USA and the UK.

Data sources

EudraVigilance (EU/EEA), Vaccine Adverse Event Reporting System (VAERS; USA) and the Medicines and Healthcare products Regulatory Agency (UK) spontaneous reporting databases were searched from date of vaccine launch to 1 December 2021.

Eligibility criteria

Publicly available spontaneous reporting data for ‘myocarditis’ and ‘pericarditis’ from EU/EEA and USA following COVID-19 messenger RNA vaccines. Reports with comorbidities or concurrent medication indicative of transplantation, HIV infection or cancer (‘immunocompromised’ population) were compared with each overall database population.

Data extraction and synthesis

Two researchers extracted data. Spontaneously reported events of myocarditis and pericarditis were presented for immunocompromised populations for each data source, stratified by age, sex, dose and time-to-onset (where available). Seriousness of each event was determined according to the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) Guideline E2A definition. Proportional reporting ratio (PRR) was calculated.

Results

There were 178 reports of myocarditis and pericarditis among immunocompromised individuals overall. Seriousness was comparable between the immunocompromised and overall populations in both databases. No trends in age or sex were observed among immunocompromised individuals. Most reports followed a second vaccine dose and occurred within 14 days. The frequency of reporting was similar to the wider population (PRR=1.36 (95% CI=0.89 to 1.82) for VAERS population).

Conclusions

Myocarditis and pericarditis following COVID-19 vaccination are very rare, and benefits of COVID-19 vaccination continue to outweigh any perceived risks. Reporting rates of myocarditis and pericarditis were similar in immunocompromised individuals, however defining characteristics differed compared with the whole population; therefore, continued monitoring of adverse events following vaccination remains vital to understand differences between population subgroups.
Inhaled corticosteroid dose is associated withPseudomonas aeruginosainfection in severe COPD
Authors: Shafiek Hanaa , Verdú Javier , Iglesias Amanda , Ramon-Clar Lluisa , Toledo-Pons Nuria , Lopez-Causape Carla , Juan Carlos , Fraile-Ribot Pablo , Oliver Antonio , Cosio Borja G
Published: July 2022

Introduction

Patients with chronic obstructive pulmonary disease (COPD) with frequent exacerbations (ExCOPD) are commonly treated with inhaled corticosteroids (ICS) and are at risk of infections caused by potential pathogenic bacteria (PPB) includingPseudomonas aeruginosa(PsA).

Objectives

To investigate the association between the use of ICS and PsA infection among ExCOPD.

Methods

Case–control study with longitudinal follow-up that recruited ExCOPD after a hospitalisation due to exacerbation between 2012 and 2020. Patients with isolation of PsA (COPD-PsA) in sputum either during admission or follow-up were compared with those with other or no PPB. Clinical, functional characteristics, DDD, use of ICS and survival were evaluated. Cox regression analysis was performed to evaluate the risk factors associated to PsA infection and mortality.

Results

358 patients (78% male, mean age 73±9 years) were enrolled and followed up for a median of 4 years (IQR=3–8). 173 patients (48.3%) had at least a positive culture for PsA. COPD-PsA had more frequent exacerbations, more severe airflow limitation and higher mortality (69.4% vs 46.5%, p<0.001). There were no differences in the use of ICS between groups but the dose of ICS was significantly higher among COPD-PsA (median of 500 µg fluticasone propionate equivalents (IQR=250–1000) vs 400 µg (IQR=200–1000), p=0.007). Blood eosinophil count (BEC) was not different between ICS users and non-users. In multivariate analysis, the dose of ICS was an independent risk factor for PsA infection and mortality but not ICS use.

Conclusions

ICS dose, but not its use, could be a risk factor for PsA infection in patients with severe COPD regardless of BEC.
Benchmark calculations of multiloop pseudofermion fRG
Authors: Ritter Marc K. , Kiese Dominik , Müller Tobias , Kugler Fabian B. , Thomale Ronny , Trebst Simon , von Delft Jan
Published: July 2022

The pseudofermion functional renormalization group (pffRG) is a computational method for determining zero-temperature phase diagrams of frustrated quantum magnets. In a recent methodological advance, the commonly employed Katanin truncation of the flow equations was extended to include multiloop corrections, thereby capturing additional contributions from the three-particle vertex (Thoenniss et al. https://arxiv.org/abs/2011.01268; Kiese et al. https://arxiv.org/abs/2011.01269). This development has also stimulated significant progress in the numerical implementation of pffRG, allowing one to track the evolution of pseudofermion vertices under the renormalization group flow with unprecedented accuracy. However, cutting-edge solvers differ in their integration algorithms, heuristics to discretize Matsubara frequency grids, and more. To lend confidence in the numerical robustness of state-of-the-art multiloop pffRG codes, we present and compare results produced with two independently developed and algorithmically distinct solvers for Heisenberg models on three-dimensional lattice geometries. Using the cubic lattice Heisenberg (anti)ferromagnet with nearest and next-nearest neighbor interactions as a generic benchmark model, we find the two codes to quantitatively agree, often up to several orders of magnitude in digital precision, both on the level of spin-spin correlation functions and renormalized fermionic vertices for varying loop orders. These benchmark calculations further substantiate the usage of multiloop pffRG solvers to tackle unconventional forms of quantum magnetism.

Graphic abstract
Impact of non-universal $${{Z}}^{{'}}$$ in the lepton flavour violating $${{B}}\left( {{B}}_{{{s}}} \right) {\rightarrow }{{K}}^{{*}}\left( {\varphi } \right) {{l}}_{{{1}}}^{{-}}{{l}}_{{{2}}}^{{+}}$$ decays
Authors: Biswas S. , Mahata S. , Biswas A. , Sahoo S.
Published: July 2022

In recent years, lepton flavour violating (LFV) decays are one of the most trending topics to probe new physics (NP). The latest results of LHCb have motivated us to study the LFV decays through $$b\rightarrow s$$

b
→
s

transition. The branching ratios, forward backward asymmetries and longitudinal polarization fractions of $$B(B_{s})\rightarrow K^{*}(\varphi )l_{1}l_{2}$$

B

(

B
s

)

→

K

∗

(
φ
)

l
1

l
2

decays are studied in non-universal $$Z^{'}$$

Z

′

model. Here, we have structured the four-fold angular distribution of the decays in terms of transversity amplitudes. The variation of the observables in whole kinematic region shows the sensitivity of NP. The observables estimated in this work are very intriguing and might lead a new track towards NP in near future.
Single-CFOA-Single-External-Capacitor-Based Partially-Active-R SRCOs: The Fourth Missing Circuit
Authors: Srivastava Dharmesh Kumar , Senani Raj , Bhaskar Data Ram
Published: July 2022

A new single-resistance-controlled-oscillator (SRCO) is presented which employs a single current feedback-operational amplifier (CFOA) along with four resistors but needs only a single external capacitor due to the incorporation of the CFOA-pole in the design. It provides independent control of the condition of oscillation and the frequency of oscillation through two separate resistors. To the best knowledge of the authors, this single-CFOA-based partially active-[Formula: see text] SRCO has not been reported explicitly in the technical literature earlier and hence is the fourth missing circuit of this class of SRCOs. Experimental results confirming the validity of the new proposition have been included and the comparative features of all the four circuits have been highlighted.
Group object quandles and their endomorphism nearrings
Authors: Smith Nathan
Published: July 2022

Group object quandles are sets with compatible group and quandle operations. Their endomorphisms will themselves be group objects and function composition becomes a third compatible operation, giving the structure of a nearring, a ring-like structure lacking one distributive property. We give an orbit decomposition of group object quandles in terms of cosets of a certain subgroup of the additive group, and describe them as central extensions of this subgroup. We then describe and count the elements of the endomorphism nearring and study its ideal structure.
Numerical generation and investigation of rogue waves for discrete nonlinear Schrödinger equations
Authors: Gupta Mishu , Malhotra Shivani , Gupta Rama
Published: July 2022

We have numerically generated the rogue waves supported by discrete nonlinear Schrödinger equation (DNLSE). The investigation has been made on pure cubic DNLSE as well as on cubic-quintic discrete nonlinear Schrödinger equation (CQDNLSE). Runge–Kutta fourth (RK4) order method has been employed to obtain these results. For the cubic DNLSE breathers are found to be localized in one of the dimensions and periodic in the other dimensions, whereas rogue waves are found to be appearing from nowhere and disappearing without a trace. For CQDNLSE it is reported that the sign of quintic term possesses a significant effect on the intensity of the rogue waves. Further these waves are appearing from nowhere but instead of disappearing these show periodic reappearance. For larger value of quintic coefficient this phenomenon is visible at shorter length scale. Breathers are reported for the first time for the cubic DNLSE. The obtained results for CQDNLSE are unobserved previously in any constant coefficient discrete nonlinear equation.
Algebraic stability theorem for derived categories of zigzag persistence modules
Authors: Hiraoka Yasuaki , Ike Yuichi , Yoshiwaki Michio
Published: July 2022

We study distances on zigzag persistence modules from the viewpoint of derived categories and Auslander–Reiten quivers. The derived category of ordinary persistence modules is derived equivalent to that of arbitrary zigzag persistence modules, depending on a classical tilting module. Through this derived equivalence, we define and compute distances on the derived category of arbitrary zigzag persistence modules and prove an algebraic stability theorem. We also compare our distance with the distance for purely zigzag persistence modules introduced by Botnan–Lesnick and the sheaf-theoretic convolution distance due to Kashiwara–Schapira.
Three-dimensional Gaussian fluctuations of spectra of overlapping stochastic Wishart matrices
Authors: Kuan Jeffrey , Zhou Zhengye
Published: July 2022

In [I. Dumitriu and E. Paquette, Spectra of overlapping Wishart matrices and the gaussian free field, Random Matrices: Theory Appl. 07(2) (2018) 1850003], the authors consider eigenvalues of overlapping Wishart matrices and prove that its fluctuations asymptotically convergence to the Gaussian free field. In this brief note, their result is extended to show that when the matrix entries undergo stochastic evolution, the fluctuations asymptotically converge to a three-dimensional Gaussian field, which has an explicit contour integral formula. This is analogous to the result of [A. Borodin, CLT for spectra of submatrices of Wigner random matrices, Moscow Math. J. 14(1) (2014) 29–38] for stochastic Wigner matrices.
A Science Scandal that Culminated in Declaring the Ivory-billed Woodpecker (Campephilus principalis) Extinct
Authors: Collins Michael D.
Published: July 2022

The Ivory-billed Woodpecker (Campephilus principalis) is an ultra-elusive bird that has repeatedly been feared extinct only to be rediscovered during the past hundred years. An article that was featured on the cover of Science in 2005 announced the most recent rediscovery in Arkansas, which was the first report of this species by ornithologists in several decades. Another group of ornithologists reported a series of sightings in Florida the following year, but the issue became controversial when nobody managed to get close enough to an Ivory-billed Woodpecker for a long enough period of time to obtain the clear photo that is regarded as the standard form of evidence for documenting birds. In Louisiana and Florida, video footage was obtained during three encounters with distant birds that were identified in the field as Ivory-billed Woodpeckers. The videos show field marks, body proportions, flights, and other behaviors and characteristics that are consistent with the Ivory-billed Woodpecker but no other species of the region. The five most compelling events in the videos are the focus here, but several additional events are also discussed. During four of the most compelling events, the audio track contains sounds that are consistent with the Ivory-billed Woodpecker. Extensions of previous results include a size comparison and a wingspan estimate that are used to fortify the analysis of two videos from Louisiana. Takeoffs with deep and rapid wingbeats and loud ‘wooden’ wing sounds, which were overlooked during previous analysis of a video that was obtained in Florida, are consistent with an account by Tanner. Additional events in the Florida video are also discussed, including a sudden maneuver during a swooping flight that coincides with ‘spring-like’ sounds. This issue started to evolve into a science scandal when critics, who had become entrenched in the position that the Ivory-billed Woodpecker is extinct, used specious arguments to cause a long delay in the publication of evidence that should be sufficient to establish persistence. After openly targeting relatively weak evidence, critics avoided engaging in open discourse on the strongest evidence after it was finally published. Some of the leading science journals helped to enable the scandal by failing to provide diligent oversight and publishing biased reports on the status of this issue. The scandal culminated in a decision by the U.S. Fish & Wildlife Service to declare the Ivory-billed Woodpecker extinct, which was made in the absence of an open discourse on the strongest evidence and in the wake of an unprecedented spike in published reports of sightings during the searches in Arkansas, Florida, and Louisiana.
Innovations Toward the Valorization of Plastics Waste
Authors: Hinton Zachary R. , Talley Michael R. , Kots Pavel A. , Le Anne V. , Zhang Tan , Mackay Michael E. , Kunjapur Aditya M. , Bai Peng , Vlachos Dionisios G. , Watson Mary P. , Berg Michael C. , Epps, Thomas H. , Korley LaShanda T.J.
Published: July 2022

Plastics are an extremely important class of materials that are prevalent in all facets of society; however, their widespread use over time, combined with limited end-of-life strategies, has led to increasing levels of waste accumulation. Although currently considered a burden, plastics waste is potentially an untapped feedstock for numerous chemical and manufacturing processes. In this review, we discuss the state of the art of approaches for valorization of plastics waste from a materials research perspective, including previous efforts to utilize plastics waste and recent innovations that have opportunities to add significant value. Although additional progress is necessary, we present several diverse capabilities and strategies for valorization that, when brought together, address end-of-life challenges for plastics at every stage of design and product consumption. In short, a materials research–based framework offers a unique perspective to address the urgent issues posed by plastics, unlocking the potential of polymers and plastics waste.
Angstrofluidics: Walking to the Limit
Authors: You Yi , Ismail Abdulghani , Nam Gwang-Hyeon , Goutham Solleti , Keerthi Ashok , Radha Boya
Published: July 2022

Angstrom-scale fluidic channels are ubiquitous in nature and play an important role in regulating cellular traffic, signaling, and responding to stimuli. Synthetic angstrom channels are now a reality with the emergence of several cutting-edge bottom-up and top-down fabrication methods. In particular, the use of atomically thin 2D materials and nanotubes as components to build fluidic conduits has pushed the limits of fabrication to the angstrom scale. Here, we provide an overview of recent developments in the fabrication methods for nano- and angstrofluidic channels while categorizing them on the basis of dimensionality (0D pores, 1D tubes, 2D slits), along with the latest advances in measurement techniques. We discuss the ion transport governed by various stimuli in these channels and the variation of ionic mobility, streaming power, and osmotic power with pore size across all the dimensionalities. Finally, we highlight unique future opportunities in the development of smart ionic devices.
From the President: We Do Have a Role to Play in Addressing Global Challenges
Authors: Gur Turgut M.
Published: July 2022

As we cautiously emerge from the worst of the COVID-19 pandemic, we find ourselves facing a “new” world challenged with difficult problems on a global scale, including energy and water security, clean environment, climate change and global warming, and even access to and equity in health care. Fortunately, as ECS members our collective skill sets and expertise in many of these areas not only uniquely position us to make impactful contributions, but also task us with the responsibility to address the grand challenges of our century toward chartering a sustainable future for the next generations.
DC Motor Control Technology Based on Multisensor Information Fusion
Authors: Lu Yean
Published: July 2022

To solve these uncertain problems by studying the motor fault diagnosis technology, so as to ensure the normal operation of the motor equipment is the primary problem to be solved in the field of motor fault diagnosis. The traditional DC motor is one of the most widely used motors at present. It has excellent speed regulation performance and is easy to control. It is widely used in applications that require high motor startup and speed regulation characteristics. This research mainly discusses DC motor control technology. Evidence theory can combine various fault information at different levels to enhance mutual support between pieces of evidence, thereby improving the accuracy of motor fault detection. Based on the steps of signal processing, feature extraction, feature dimensionality reduction, and state recognition, the research on the state recognition method of belt conveyor drive motor based on multisource information fusion is carried out. By studying the multisource information fusion, this paper proposes a two-stage belt conveyor drive motor information fusion model based on the optimal D-S evidence theory. The correct identification rate of broken rotor bars during fault monitoring is 99.8%. This method divides the specific motor fault feature set into multiple fault subspaces and uses different diagnostic neural networks and different fault feature parameters for local diagnosis, respectively. The scheme designed in this study significantly improves the recognition accuracy of the motor in the same working condition and under variable working conditions. The drive motor state recognition and intelligent decision-making system designed by combining the results of multisource information fusion can effectively describe the fault type and has strong operability.
Simulation of English Speech Recognition Based on Improved Extreme Random Forest Classification
Authors: Hao Chunhui , Li Yuan
Published: July 2022

Existing speech recognition systems are only for mainstream audio types; there is little research on language types; the system is subject to relatively large restrictions; and the recognition rate is not high. Therefore, how to use an efficient classifier to make a speech recognition system with a high recognition rate is one of the current research focuses. Based on the idea of machine learning, this study combines the computational random forest classification method to improve the algorithm and builds an English speech recognition model based on machine learning. Moreover, this study uses a lightweight model and its improved model to recognize speech signals and directly performs adaptive wavelet threshold shrinkage and denoising on the generated time-frequency images. In addition, this study uses the EI strong classifier to replace the softmax of the lightweight AlexNet model, which further improves the recognition accuracy under a low signal-to-noise ratio. Finally, this study designs experiments to verify the model effect. The research results show that the effect of the model constructed in this study is good.
Nrf2 Knockout Affected the Ferroptosis Signaling Pathway against Cisplatin-Induced Hair Cell-Like HEI-OC1 Cell Death
Authors: Wang Weilong , Ma Pengwei , Gao Wei , Lu Peiheng , Ding Xuerui , Chen Jiawei , Yuan Hao , Lu Lianjun
Published: July 2022

Cisplatin is a well-known and widely used anticancer drug with high therapeutic efficacy in solid tumors; however, side effects are common with its use. Because cisplatin can be retained in the cochlea, ototoxicity leading to hearing loss limits its clinical applications. Here, we report that Nrf2 knockout (KO) strongly increased cisplatin resistance in HEI-OC1 cells, which are immortalized cells from the murine organ of Corti. The underlying mechanism of this phenomenon was uncovered, and an important novel therapeutic target for combating cisplatin-induced hearing loss was identified. Preliminary investigations determined that Nrf2 KO markedly decreased TfR1 protein levels and increased GPX4 protein levels. Thus, ferroptosis may protect organisms from cisplatin-induced cell death. Furthermore, Nrf2 KO cells were resistant to the classical ferroptosis inducers RSL3 and erastin, providing solid evidence that Nrf2 KO inhibits ferroptosis and that knocking out Nrf2 may be a new clinical strategy to prevent cisplatin-induced hearing loss.
Application of Spatial-Temporal Behavioral Trajectory Analysis in the Space Design of Digital Villages
Authors: Li Jun
Published: July 2022

From the perspective of the environment-behavior science, this paper takes the space design of a digital village in Youzhaqiao Village on the outskirts of Guangshui City, for example, to record and track the behavior of residents and tourists in the area via mobile phone motion track recording software. Based on the collection, selection, and collation of the trajectory data, the valid data has been counted and analyzed; finally, the field investigation and questionnaires have been integrated to propose optimization strategy for the use and design of the space of Youzhaqiao Village from aspects such as human perception, cognition, and behavior.
Path Planning Algorithm Based on Visual Image Feature Extraction for Mobile Robots
Authors: Dong Qin
Published: July 2022

When autonomous mobile robots plan their own movements properly, they first need to perceive the surrounding environment and then make comprehensive decisions based on the surrounding environment information, that is, path planning. Vision can provide abundant and complete environmental information for robots, and it can significantly improve the effect of path planning when it is introduced into the path planning of autonomous robots. In this article, we take the autonomous mobile robot AS-R as the research object and use the multisensors such as a gimbal camera and ultrasonic sensor attached to the robot to study the navigation line information perceived by machine vision, the obstacle information sensed by range sensor, and the fusion of multisensor information to solve the image processing, path recognition, information fusion, decision control, and other related problems of the mobile robot to realize the autonomous mobile robot.
Novel Approaches for Encapsulation of Plant Probiotic Bacteria with Sustainable Polymer Gums: Application in the Management of Pests and Diseases
Authors: Riseh Roohallah Saberi , Tamanadar Elahe , Pour Mojde Moradi , Thakur Vijay Kumar
Published: July 2022

The unique attributes, biodegradability, biocompatibility, perfect accessibility, and low production costs led to the use of natural gums in a different section of our lives. Among them, we can mention gums obtained from microorganisms (xanthan gum and gellan gum), plant tissues (Arabic gum and gum tragacanth), seeds (konjac gum and guar gum), seaweeds (alginates, agar gum, and carrageenans). Gums have essential applications in the medical and pharmaceutical, food, biotechnology, and critical agricultural industries. Encapsulation is one of the new methods to increase the stability of bioactive compounds during processing and storage. Encapsulation technology using natural gums is a new way to improve the performance of microbial agents in various sciences, especially agriculture, which represents a bright future in this field.
Wearable Running Training Data Acquisition System Based on Intelligent Computer Technology
Authors: Zhang Ruirui , Liu Zhao , Chang Zhansheng , Cao Yongqing , Liu Dan
Published: July 2022

Because the instantaneous motion of running training changes rapidly, the acquisition accuracy is low. Therefore, a wearable running training data acquisition system based on intelligent computer technology is designed. In the hardware design of the system, by setting the registers of the main control chip, inertial sensor, and magnetic sensor, the acceleration and angular velocity information of motion exist in the data format of binary complement. Bluetooth realizes the transparent transmission of data between hardware and software. The system software uses LDA recognition algorithm to decompose the dynamic data transmitted by Bluetooth into multiple static data and collect the final motion data through training. The experimental results show that the designed system has good quality and high accuracy in motion detection and counting.
Numerical Investigation of Textile Reinforced Cement Structural Stay‐in‐Place Formwork Designed as Beam‐Column Joint Shear Reinforcement
Authors: Desta Negasa , Getachew Kabtamu , Geresu Daba
Published: July 2022

This study investigates the feasibility and structural performance of textile reinforced cement (TRC) stay‐in‐place (SiP) formwork designed as shear reinforcement for beam‐column joints under monotonic loading through the nonlinear finite element package ABAQUS. This was achieved by conducting numerical analysis on 24 beam‐column joints using different parameters that affect the joints’ performance, including column axial load ratio, concrete compressive strength, beam tensile reinforcement ratio, joint shear reinforcement ratio, and thickness of TRC. The models were first calibrated to the results obtained from the experimental program of previous studies. The start of the yielding behavior of the composite beam‐column (73 kN) corresponds well to the conventional beam‐column joint (72 kN). A similar correlation can be observed at the ultimate load with only a 3.7% difference, 84 kN in the case of the composite beam‐column joint and 81 kN in the case of the conventional beam‐column joint. The findings of this investigation showed that a beam‐column with a full steel stirrup and TRC SiP formwork as shear reinforcement at the joint exhibits similar yielding behavior, such that TRC SiP formwork can replace the full steel stirrup at the joint, as proved by comparison analysis. Furthermore, the numerical analysis results due to the effect of these essential parameters on the structural performance of the beam‐column with TRC SiP formwork at the joint were also discussed.
Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network
Authors: Guan Yushu
Published: July 2022

With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed online learning even further into the mainstream. However, because online teaching does not have the drawback of being intuitive like classroom teaching, teachers’ assessments of students’ learning situations are less accurate. As a result, how to effectively evaluate students’ academic performance in the context of 5G wireless network technology is a pressing issue that must be investigated. By processing these heterogeneous large-scale learning records and integrating multiple perspectives to analyze this learning record information to identify students’ learning behaviors, this study proposes an integrated analysis algorithm based on artificial intelligence information technology. The possible learning outcomes of students are predicted based on their current learning situation, so teachers can provide auxiliary teaching strategies to students who may have learning difficulties based on the predicted information. The method proposed in this article uses information technology to predict students’ grades, and the analysis shows that the method is very effective. In this article, different grades of classification methods are used to analyze and predict the whole students. All grade classification methods are effective in describing decision rules. No matter what grades classification method is used, the error rate of students’ grades distribution is predicted to be below 40%.
A 3D Multimedia Ecological Landscape Environment and Teaching Mode Based on Digital Interactive Experience
Authors: Xiao Zhigao , Wang Jinghan , Deng HanSong
Published: July 2022

With the development of society, the design concept of urban landscape needs to be constantly updated. The lack of functional innovation, service experience, and intelligent management cannot bring urban residents a sense of experience. In modern urban landscape design, the urban public landscape is combined with digital media art, to constantly renew urban image and optimize urban function. However, several methods have been created for the real-time presentation of very vast terrains. Though several of these solutions combined high-quality representation with amazing efficiency, the majority of them are based on the basic concept that the terrain is defined by a constant height map that cannot be changed at run time. These systems usually make considerable use of raw terrain data preprocessing. They are generally intended for peak efficiency. Keeping the above in mind, this paper analyzes the 3D multimedia ecological landscape environment and teaching mode based on digital virtual technology. The purpose of this paper is to apply digital media art as an innovative technical tool and aesthetic thinking in the new era of urban landscape design and to innovate the concept and means of urban landscape design. As a new landscape design method, the application of digital media could make a visual display of the urban landscape. The intervention of virtual reality technology also enhances the interaction and perception of the urban landscape.
A Study for Determining the Inclination of the Occlusal Plane from the Mandibular Functional Trajectory
Authors: Ikeda Kazuhiro , Yamashita Shuichiro
Published: July 2022

Background. During the fabrication of prostheses, the putative occlusal plane is generally determined based on morphological criteria such as Camper’s plane. There is a possibility that morphological indexes deviate from their original positions over time. The current study investigated whether functional indexes could be used to determine occlusal planes instead of morphological indexes. Objectives. The objectives of the present study were to investigate the relationship between the maxillary occlusal plane and mandibular functional trajectory and to consider a method for reconstructing a lost occlusal plane based on functional trajectories. Methods. Thirteen healthy dentulous individuals were recruited for the study. Using a jaw motion tracking device with 6-degrees of freedom, the trajectories of the mandibular first molar and incisor during masticatory movement or tapping movements were measured. Results. The closing angle of the mandibular first molar to the maxillary occlusal plane was converged and averaged 74.1° just below the intercuspal position, which is the terminal position of masticatory movement. This angle was positively correlated with the closing angle of the incisal point during tapping movement. The regression equation obtained was y = 0.37x + 45.99, where x was the closing angle of tapping movement and y was the closing angle of masticatory movement. Conclusions. It was suggested that when determining lost occlusal plane, the occlusal plane can be derived using the closing angle of the incisal point during tapping movement.
The Occurrence of Adsorbed Tight Oil and Its Effect on Porosity and Permeability Reduction of Triassic Lacustrine Sandstone Reservoir
Authors: Zhou Qianshan , Li Xiaotian , Qian Zhaoming , Chen Guojun , Lyu Chengfu , Ma Xiaofeng , Li Chao
Published: July 2022

The adsorption of crude oil in the tight sandstone reservoir is significant. Occurrence states of adsorbed tight oil and its pore and throat reduction effect are two significant directions in tight oil exploration and development. In this paper, the occurrence state of adsorbed tight oil and its porosity and permeability reduction effect is systematically analyzed based on a detailed description and discussion of occurrence space, states, changes of porosity and permeability, and its controlling factors. Five occurrence states are recognized based on the differences in spatial location and morphology of adsorbed tight oil. Adsorbed oil is distributed in all kinds of reservoir spaces and primarily concentrated in the

pore
−
throat
 
radius
<
0.25

 μm. The distribution characteristics of reservoir spaces control the occurrence states of adsorbed tight oil. The emulsion form, cluster form, throat form, thin film form, and isolation form are mainly stored in intergranular pores, feldspar dissolved pores, throats, the surface of minerals, and intercrystalline pores, respectively. The massive development of quartz, feldspar, and illite is conducive to the distribution of emulsion form, cluster form, and the throat form of tight oil, while the abundance of clay, especially chlorite, controls the distribution of the thin film form and isolated form of tight oil. The adsorption of tight oil causes clogging in the pore network, resulting in reservoir damage. The adsorption of tight oil in the reservoir leads to increased reservoir density by 0.290 g/cm3 and the reduction of porosity and permeability by 3.14% and

0.321
×

10

−
3

 μm2, respectively. And the damage of adsorbed oil to permeability (30.79%) is more severe than that of porosity (19.96%). The effect of pore and throat reduction is more evident in reservoirs with higher content of quartz and feldspar. However, the strong adsorption of clay makes it difficult to separate the tight oil adsorbed on its surface. The nature of adsorbed oil in different occurrence states also can determine the separation efficiency in the extraction process. The adsorbed tight oil with emulsion, cluster, and throat forms is easier to desorb than the isolation and thin film forms. The research results can provide a basis for analyzing the occurrence characteristics and reasonably formulating the development method of tight oil. In addition, it can even provide a new understanding and basis for the densification process of reservoir permeability under different conditions.
Assessment and Test-case Study of Wi-Fi Security through the Wardriving Technique
Authors: Etta Victor Ojong , Sari Arif , Imoize Agbotiname Lucky , Shukla Piyush Kumar , Alhassan Musah
Published: July 2022

This study aims to investigate Wireless Local Area Network (WLAN) within the context of its applicability as a 21st-century business tool and its survivability in a security threat-infested cyber landscape. WLAN security leverages the Wardriving technique deployed within geolocation to scan for WLAN density and explore the associated security mechanisms. Specifically, the study adopts two approaches; the first part reviews relevant research articles in electronic libraries and databases on WLAN security based on wardriving techniques. The other part comprises a measurement campaign conducted in a mid-sized city in North Cyprus. The field measurement aims to underscore the claims from the literature to find out how the security encryption technologies are used. In particular, the goal is to determine the availability of WLAN infrastructure and monitor how the security measures are implemented in Northern Cyprus. The main objective is to determine the security state of WLAN in Cyprus and examine how it can be generalized for related environments. In order to completely grasp the research issue posed in this study, data analyses from several perspectives are analyzed and examined critically. The wardriving approach has been used in this work to crawl wider regions for examination. This study was conducted with security findings drawn only from publicly accessible information emitted by each investigated wireless access point. The channel usage, Service Set IDentifier (SSID) security, the Encryption type (Open, WEP, WPA, WPA2, WPA3, and Mixed mode), WPS usage statistics, geographical locations, detailed security statistics described in Wigle CSV format, and vendor statistics are highlighted. Generally, results indicate that 21,345 WLANs were detected. From the detected WLANs, 23 (0.1 percent) used WEP encryption, 18 (0.08 percent) used WPA-TKIP encryption, 5,359 (25.1 percent) were unencrypted, and a clear majority of 9,139 (42.82 percent) used the more secure WPA2 encryption, while 13 networks (0.06 percent) used the latest WPA3 encryption technique. The results imply that WLAN security in Cyprus can be said to be moderate. Thus, this study adds to the expanding corpus of research on WLAN security and Wardriving to all parties in the wireless security ecosystem. The current study examines WLAN operations in North Cyprus while pointing to future research directions on Wireless LAN security mechanisms. Overall, the dataset from the wardriving experiment is novel and would serve future research exploration in the wireless security systems domain.
Tourism Destination Recommendation Based on Association Rule Algorithm
Authors: Lou Na
Published: July 2022

With the development of information technology and the arrival of intelligent era, the tourism industry has also changed from traditional information service to intelligence. In this study, the recommendation system is studied. By comparing the advantages and disadvantages of various recommendation methods, the association rule algorithm is selected as the recommendation method in this study. Then, the user’s operation behavior is obtained and the personalized tourism destination recommendation model is established. This model is based on the user’s access operation behavior data, and it introduces the user’s interest degree as a parameter to measure the operation behavior data, forming the basic data of data mining. The popularity of tourist routes and the change weight of longitudinal interest characteristics among users are introduced into the algorithm. The change weight of user’s lateral interest characteristics is added to the prediction of target users’ future interest. Compared with the classified recommendation method, users can easily locate the information of scenic spots they are interested in under the guidance of scenic spot recommendation. The results further verify that the research of this model has certain practical significance and practical value.
Famitinib with Camrelizumab and Nab-Paclitaxel for Advanced Immunomodulatory Triple-Negative Breast Cancer (FUTURE-C-Plus): An Open-Label, Single-Arm, Phase II Trial
Authors: Chen Li , Jiang Yi-Zhou , Wu Song-Yang , Wu Jiong , Di Gen-Hong , Liu Guang-Yu , Yu Ke-Da , Fan Lei , Li Jun-Jie , Hou Yi-Feng , Hu Zhen , Chen Can-Ming , Huang Xiao-Yan , Cao A-Yong , Hu Xin , Zhao Shen , Ma Xiao-Yan , Xu Ying , Sun Xiang-Jie , Chai Wen-Jun , Guo Xiaomao , Chen Xizi , Xu Yanhui , Zhu Xiao-Yu , Zou Jian-Jun , Yang Wen-Tao , Wang Zhong-Hua , Shao Zhi-Ming
Published: July 2022

Purpose:

Camrelizumab, an mAb against programmed cell death protein 1 (PD-1), plus nab-paclitaxel exhibited promising antitumor activity in refractory metastatic immunomodulatory triple-negative breast cancer (TNBC). Famitinib is a tyrosine kinase inhibitor targeting VEGFR2, PDGFR, and c-kit. We aimed to assess the efficacy and safety of a novel combination of famitinib, camrelizumab, and nab-paclitaxel in advanced immunomodulatory TNBC.

Patients and Methods:

This open-label, single-arm, phase II study enrolled patients with previously untreated, advanced, immunomodulatory TNBC (CD8 IHC staining ≥10%). Eligible patients received 20 mg of oral famitinib on days 1 to 28, 200 mg of i.v. camrelizumab on days 1 and 15, and i.v. nab-paclitaxel 100 mg/m2 on days 1, 8, and 15 in 4-week cycles. The primary endpoint was objective response rate (ORR), as assessed by investigators per RECIST v1.1. Key secondary endpoints were progression-free survival (PFS), overall survival (OS), duration of response (DOR), safety, and exploratory biomarkers.

Results:

Forty-eight patients were enrolled and treated. Median follow-up was 17.0 months (range, 8.7–24.3). Confirmed ORR was 81.3% [95% confidence interval (CI), 70.2–92.3], with five complete and 34 partial responses. Median PFS was 13.6 months (95% CI, 8.4–18.8), and median DOR was 14.9 months [95% CI, not estimable (NE)–NE]. Median OS was not reached. No treatment-related deaths were reported. Among 30 patients with IHC, 13 (43.3%) were programmed death-ligand 1 (PD-L1)–negative, and PD-L1 was associated with favorable response. PKD1 and KAT6A somatic mutations were associated with therapy response.

Conclusions:

The triplet regimen was efficacious and well tolerated in previously untreated, advanced, immunomodulatory TNBC. The randomized controlled FUTURE-SUPER trial is under way to validate our findings.

See related commentary by Salgado and Loi, p. 2728
Appendicitis after Appendectomy: A Rare Presentation of Acute Appendicitis as Stump Appendicitis
Authors: Ahmed Fareed , Asad Sadia , Salim Shaharyar , Soomar Salman Muhammad
Published: July 2022

Appendicitis is one of the frequent complaints for which patients visit the Emergency Department. Appendectomy is one of the most commonly performed procedures. Stump appendicitis is a rare but severe complication of appendectomy due to the inflammation of the remaining part of the appendix. Because it is rare and partly due to physicians’ lack of understanding of this entity, the diagnosis is highly delayed, leading to severe complications including perforation or peritonitis. This article aims to raise the importance and awareness and shed light on how possibly it could be avoided.
Students’ experiences and learning objectives: Implications for future online learning
Authors: Asih Ria Arista , Alief Lazuardy
Published: July 2022

Positive online learning experiences during the COVID-19pandemic remain debatable in the literature where students and instructors have been enforced to shift from conventional face-to-face meetings to virtual learning. This study aims to explore English for specific purposes (ESP) students’ experiences during online learning, along with their concerns on learning attainment and personal adaptations. A qualitative case-study method was employed through interviews with students (n=19) from three private universities in Indonesia. The obtained data were analyzed through thematic analysis. Results showed that students of different departments approached ESP differently, but they similarly reported facing difficulties in reaching the learning objectives. They also experienced burnout from excessive online learning and found themselves hardly adapting to various instructors’ strategies. These findings revealed the need to revisit online ESP delivery classes in higher education. Implications for the future design of online ESP learning courses and instructor professional development are discussed.