bluuebunny/crossref_metadata_2025 huggingface dataset:
The dark side of 5,10,15,20-(tetra-4-sulfonatophenyl)-porphyrin tetra-ammonium (TPPS) on Botrytis cinerea mycelium growth
Authors: Ambrosini Veronica , Riou Catherine
Published: February 2022

The powerful inhibitory effect of a photoactivated anionic porphyrin (TPPS) on the mycelium growth of a phytopathogenic fungus Botrytis cinerea, was previously demonstrated, suggesting a new agricultural application of photodynamic treatment. In this context, it was also needed to investigate the effect of non-photoactivated TPPS onB. cinerea. Unexpectedly, TPPS tested at 3.5 [Formula: see text]M, induced a delay of the Botrytis cinerea mycelium growth that was later recovered under dark conditions. This delay, compared to the control, was low and suggested that the stress was induced by TPPS. This hypothesis was also confirmed at phenotypical level by Environmental Scanning Electron Microscopy analysis. Further tests at a biochemical level: total proteins, thiols and proline content determinations; and at cellular level, by monitoring cell leakage, gave more evidence for the presence of this stress. Nevertheless, TPPS induced a very short-lived effect on B. cinerea, suggesting that the mycelium was able to induce a rapid defense mechanism that involved medium acidification. A 4-day-old mycelium acidified the culture medium from a pH of 8 to less than 4. This acidic medium thus induced changes in the TPPS chemical structure that became protonated in its inner core. To our knowledge, this is the first paper that reports a dark effect of TPPS on Botrytis cinerea mycelium growth that could be rapidly counteracted by the protonation of TPPS leading to its no-longer dark toxicity.
Layered TiCl2 Monolayer as an Antiferromagnetic Semiconductor
Authors: Tang Hui , Huang Yuhong , Yuan Hongkuan , Chen Hong
Published: February 2022

We report layered TiCl2 monolayer to be a robust antiferromagnetic (AFM) semiconductor by investigating its geometry, stability, electronic and magnetic properties using first-principles calculation and Monte Carlo (MC) simulation. The TiCl2 monolayer exfoliated from layered TiCl2 bulk is verified to be an AFM semiconductor with a relatively wide band gap by spin-polarized density of states and energy band structure calculations. Phonon dispersion and elastic modulus calculations show that the TiCl2 monolayer is dynamically and mechanically stable, respectively. The Néel temperature is evaluated to be 368[Formula: see text]K by MC simulation based on Ising model. Additionally, the band gap, the magnetic moment of a single Ti atom and the Néel temperature can be significantly tuned by applied biaxial strain, but the AFM semiconducting behavior is robust against the applied strains, indicating that the TiCl2 monolayer is a potential candidate for high-speed AFM spintronic applications.
Improving Loop Parallelization by a Combination of Static and Dynamic Analyses in HLS
Authors: Dewald Florian , Rohde Johanna , Hochberger Christian , Mantel Heiko
Published: February 2022

High-level synthesis (HLS) can be used to create hardware accelerators for compute-intense software parts such as loop structures. Usually, this process requires significant amount of user interaction to steer kernel selection and optimizations. This can be tedious and time-consuming. In this article, we present an approach that fully autonomously finds independent loop iterations and reductions to create parallelized accelerators. We combine static analysis with information available only at runtime to maximize the parallelism exploited by the created accelerators. For loops where we see potential for parallelism, we create fully parallelized kernel implementations. If static information does not suffice to deduce independence, then we assume independence at compile time. We verify this assumption by statically created checks that are dynamically evaluated at runtime, before using the optimized kernel. Evaluating our approach, we can generate speedups for five out of seven benchmarks. With four loop iterations running in parallel, we achieve ideal speedups of up to 4× and on average speedups of 2.27×, both in comparison to an unoptimized accelerator.
Distance-based Probabilistic Data Augmentation for Synthetic Minority Oversampling
Authors: Goodman Joel , Sarkani Sharham , Mazzuchi Thomas
Published: February 2022

Class imbalance can adversely affect the performance of machine learning for prediction and classification. One approach to address the class imbalance problem is synthetic minority oversampling. Oversampling approaches can be broadly categorized as either being structural or statistical in nature. Structural approaches generally have the advantage of identifying and oversampling those minority data points that best facilitate class separation, while statistical approaches model the underlying distribution from which the minority samples can be drawn. In this article, we formulate a distance-based approach that generates samples by both modeling the underlying minority class distribution and by geometrically considering those borderline samples entangled in the majority class. We demonstrate the efficacy of our approach operating on the Class-Imbalance data set from UCI by comparing its mean accuracy, AUC and
F
1
-score performance against both statistical and structural synthetic minority oversampling methods.
Regulation of Tumor Invasion by the Physical Microenvironment: Lessons from Breast and Brain Cancer
Authors: Beeghly Garrett F. , Amofa Kwasi Y. , Fischbach Claudia , Kumar Sanjay
Published: February 2022

The success of anticancer therapies is often limited by heterogeneity within and between tumors. While much attention has been devoted to understanding the intrinsic molecular diversity of tumor cells, the surrounding tissue microenvironment is also highly complex and coevolves with tumor cells to drive clinical outcomes. Here, we propose that diverse types of solid tumors share common physical motifs that change in time and space, serving as universal regulators of malignancy. We use breast cancer and glioblastoma as instructive examples and highlight how invasion in both diseases is driven by the appropriation of structural guidance cues, contact-dependent heterotypic interactions with stromal cells, and elevated interstitial fluid pressure and flow. We discuss how engineering strategies show increasing value for measuring and modeling these physical propertiesfor mechanistic studies. Moreover, engineered systems offer great promise for developing and testing novel therapies that improve patient prognosis by normalizing the physical tumor microenvironment.
Waves in Embryonic Development
Authors: Di Talia Stefano , Vergassola Massimo
Published: February 2022

Embryonic development hinges on effective coordination of molecular events across space and time. Waves have recently emerged as constituting an ubiquitous mechanism that ensures rapid spreading of regulatory signals across embryos, as well as reliable control of their patterning, namely, for the emergence of body plan structures. In this article, we review a selection of recent quantitative work on signaling waves and present an overview of the theory of waves. Our aim is to provide a succinct yet comprehensive guiding reference for the theoretical frameworks by which signaling waves can arise in embryos. We start, then, from reaction–diffusion systems, both static and time dependent; move to excitable dynamics; and conclude with systems of coupled oscillators. We link these theoretical models to molecular mechanisms recently elucidated for the control of mitotic waves in early embryos, patterning of the vertebrate body axis, micropattern cultures, and bone regeneration. Our goal is to inspire experimental work that will advance theory in development and connect its predictions to quantitative biological observations.
Imaging Dynamic Processes in Multiple Dimensions and Length Scales
Authors: Filbrun Seth L. , Zhao Fei , Chen Kuangcai , Huang Teng-Xiang , Yang Meek , Cheng Xiaodong , Dong Bin , Fang Ning
Published: February 2022

Optical microscopy has become an invaluable tool for investigating complex samples. Over the years, many advances to optical microscopes have been made that have allowed us to uncover new insights into the samples studied. Dynamic changes in biological and chemical systems are of utmost importance to study. To probe these samples, multidimensional approaches have been developed to acquire a fuller understanding of the system of interest. These dimensions include the spatial information, such as the three-dimensional coordinates and orientation of the optical probes, and additional chemical and physical properties through combining microscopy with various spectroscopic techniques. In this review, we survey the field of multidimensional microscopy and provide an outlook on the field and challenges that may arise.
Comparative Bureaucratic Politics
Authors: Dahlström Carl , Lapuente Victor
Published: February 2022

This article discusses one of the most important institutions in the modern world, namely public bureaucracies, from a comparative perspective. Bureaucratic organizations can be seen as a result of handling dilemmas along two critical dimensions. The first dimension concerns whether bureaucrats should be autonomous or, on the contrary, directly accountable to their political masters. The second dimension is about whether bureaucrats should always be guided by the letter of the law, strictly following established rules, or, on the contrary, guided by the principle of management, searching for the most efficient solution. We review the extensive recent research on the effects of different ways of organizing public bureaucracies along these two dimensions. Specifically, we look at three fundamental outcomes: economic development, corruption, and the quality of public services. We conclude by discussing the pros and cons of the four types of bureaucracies—legalistic (accountability and law), populistic (accountability and management), Weberian (autonomy and law), and liberal (autonomy and management)—and how they relate to, but do not overlap with, the concept of administrative traditions.
Comparison of Electrolyte Transport Modelling in Lithium-ion Batteries: Concentrated Solution Theory Vs Generalized Nernst-Planck Model
Authors: Lagnoni Marco , Nicolella Cristiano , Bertei Antonio
Published: February 2022

Mathematical modelling is widely used to provide insights into lithium-ion battery operation, mainly by using Doyle-Fuller-Newman (DFN) porous electrode theory. A key aspect of thermo-electrochemical models is the description of electrolyte transport phenomena and their implications on thermal effects, which are the subject of this study. We show that the so-called generalized Poisson-Nernst-Planck approach (here re-named generalized Nernst-Planck, gNP) for electrolyte transport is equivalent to DFN concentrated solution theory only if the electrolyte thermodynamic factor obeys a specific gNP expression as a function of three electrolyte parameters. However, such an expression does not capture accurately the experimental dependence of the thermodynamic factor for concentrations lower than 0.5 mol l−1 or higher than 1.5 mol l−1 in a common LiPF6-based electrolyte, causing discrepancies between model predictions. The deviation between simulation results of the DFN and gNP models is negligible at low C-rates and ambient temperature. However, as the operative conditions get more challenging as for C-rate > 1 and/or extreme temperatures, detectable deviations are shown in terms of predicted voltage, maximum temperature, and accessible/restored capacity. Furthermore, the electrolyte transport models predict different onsets of lithium plating upon charge, showing moderate deviations in the estimated penetration depth of plating.
Elucidating Cathode Degradation Mechanisms in LiNi0.8Mn0.1Co0.1O2 (NMC811)/Graphite Cells Under Fast Charge Rates Using Operando Synchrotron Characterization
Authors: Quilty Calvin D. , West Patrick J. , Wheeler Garrett P. , Housel Lisa M. , Kern Christopher J. , Tallman Killian R. , Ma Lu , Ehrlich Steven , Jaye Cherno , Fischer Daniel A. , Takeuchi Kenneth J. , Bock David C. , Marschilok Amy C. , Takeuchi Esther S.
Published: February 2022

Li-ion batteries capable of extreme fast charging (XFC) are in demand to facilitate widespread electric vehicle (EV) adoption. While the impact of fast charge on the negative electrode has been studied, degradation of state-of-the-art NMC811 under XFC conditions has not been studied in detail. Herein, cathode degradation is probed in NMC811/graphite batteries by analysis of structural and chemical changes for recovered samples previously cycled under XFC conditions and during typical cycling. NMC surface reconstruction, as determined by soft X-ray absorption, was not detected for recovered electrodes. However, bulk redox activity from X-ray absorption near edge structure measurements showed more change in the oxidation state of Ni and Co under the 1C charge rate compared to the 4C rate consistent with the electrochemistry. Increased unit cell volume contraction under the 1C rate as determined by operando X-ray diffraction suggests that higher charge rates may provide a protective effect on the cathode by reducing structural distortion due to less delithiation.
Wide-Linear Range Cholesterol Detection Using Fe2O3 Nanoparticles Decorated ZnO Nanorods Based Electrolyte-Gated Transistor
Authors: Khan Marya , Nagal Vandana , Masrat Sakeena , Tuba Talia , Tripathy Nirmalya , Parvez Mohammad K. , Al-Dosari Mohammed S. , Khosla Ajit , Furukawa Hidemitsu , Hafiz A. K. , Ahmad Rafiq
Published: February 2022

Electrolyte-gated transistor (EGT)-based biosensors are created with nanomaterials to harness the advantages of miniaturization and excellent sensing performance. A cholesterol EGT biosensor based on iron oxide (Fe2O3) nanoparticles decorated ZnO nanorods is proposed here. ZnO nanorods are directly grown on the seeded channel using a hydrothermal method, keeping in mind the stability of nanorods on the channel during biosensor measurements in an electrolyte. Most importantly, ZnO nanorods can be effectively grown and modified with Fe2O3 nanoparticles to enhance stability, surface roughness, and performance. The cholesterol oxidase (ChOx) enzyme is immobilized over Fe2O3 nanoparticles decorated ZnO nanorods for cholesterol detection. With cholesterol addition in buffer solution, the electro-oxidation of cholesterol on enzyme immobilized surface led to increased the biosensor’s current response. The cholesterol EGT biosensor detected cholesterol in wide-linear range (i.e., 0.1 to 60.0 mM) with high sensitivity (37.34 μA mM−1cm−2) compared to conventional electrochemical sensors. Furthermore, we obtained excellent selectivity, fabrication reproducibility, long-term storage stability, and practical applicability in real serum samples. The demonstrated EGT biosensor can be extended with changing enzymes or nanomaterials or hybrid nanomaterials for specific analyte detection.
Electrophoretic Deposition of Platinum Nanoparticles using Ethanol-Water Mixtures Significantly Reduces Neural Electrode Impedance
Authors: Ramesh Vaijayanthi , Giera Brian , Karnes John J. , Stratmann Nadine , Schaufler Viktor , Li Yao , Rehbock Christoph , Barcikowski Stephan
Published: February 2022

Platinum electrodes are critical components in many biomedical devices, an important example being implantable neural stimulation or recording electrodes. However, upon implantation, scar tissue forms around the electrode surface, causing unwanted deterioration of the electrical contact. We demonstrate that sub-monolayer coatings of platinum nanoparticles (PtNPs) applied to 3D neural electrodes by electrophoretic deposition (EPD) can enhance the electrode's active surface area and significantly lower its impedance. In this work we use ethanol-water mixtures as the EPD solvent, in contrast to our previous studies carried out in water. We show that EPD coating in 30 vol.% ethanol improves the device's electrochemical performance. Computational mesoscale multiparticle simulations were for the first time applied to PtNP-on-Pt EPD, revealing correlations between ethanol concentration, electrochemical properties, and coating homogeneity. Thereto, this optimum ethanol concentration (30 vol.%) balances two opposing trends: (i) the addition of ethanol reduces water splitting and gas bubble formation, which benefits surface coverage, and (ii) increased viscosity and reduced permittivity occur at high ethanol concentrations, which impair the coating quality and favoring clustering. A seven-fold increase in active surface area and significantly reduced in vitro impedance of the nano-modified neural stimulation electrode surfaces highlight the influence of ethanol-water mixtures in PtNP EPD.
Electrochemical Acceleration of Redox Reaction Cycles on the Surface of Fe2O3-MnO2 Cathode to Activate the Peroxymonosulfate for the Efficient Removal of Levofloxacin
Authors: Hou Yue , Sun Xiaoqin , Dang Yuan , Yu Sha , Chen Shuangli , Tang Jieli , Zhang Liang , Zhou Yuanzhen
Published: February 2022

Here, we establish an electrochemically promoted peroxymonosulfate (PMS) activation system based on Fe2O3-MnO2 cathode for the degradation of levofloxacin (LEV). Compared with the single materials Fe2O3 and MnO2, Fe2O3-MnO2 exhibits more active sites and excellent electrochemical characteristics, including faster electron transfer and lower overpotential of oxygen reduction reaction (ORR). The degradation efficiency of the system can reach 92.1% within 60 min under the optimal conditions of 30 mA cm−2, natural pH, 10 mM PMS, and 25 °C. The efficient degradation performance is due to the fact that electrochemistry can accelerate the electron transfer and further improve the cycle of the redox reactions of FeⅡ/FeⅢ and MnⅡ/MnⅢ/MnⅣ, thereby, activating PMS to generate more active species (e.g., ·OH, SO4
−· and 1O2 etc). And the 1O2 is found to be the main reactive substance. Besides, the degradation pathway of LEV is inferred based on the identification of reaction intermediates, including defluorination, decarboxylation, destruction of piperazinyl groups, and oxidation of quinolone rings. This research provides a reliable method for the effective removal of refractory organic pollutants.
Mechanistic Insight into La2O3 Dopants with High Chemical Stability on Li3PS4 Sulfide Electrolyte for Lithium Metal Batteries
Authors: Zhang Nan , Wang Lie , Diao Qingyu , Zhu Kongying , Li Huan , Li Chuanwei , Liu Xingjiang , Xu Qiang
Published: February 2022

Unlike the unstable liquid-state organic electrolyte at high temperatures, the solid-state electrolytes with high safety have attracted a broad prospect for the development of all-solid-state lithium metal battery (ASSLMB). Among the solid electrolytes, the sulfide-based electrolyte with low grain boundary resistances is one of the most practical choices due to its high lithium-ionic conductivity. The introduction of non-conducting oxide fillers into sulfide matrix is an effective way to increase their ionic conductivities and interfacial stabilities with the electrodes of battery simultaneously. Unfortunately, the acting mechanism of non-conducting oxide dopants with high chemical stability on the sulfide electrolyte has not been elucidated clearly. In this work, the rare-earth oxide La2O3 with high chemical stability was selected as a doping component of Li3PS4 sulfide electrolyte for the first time. The experimental results show that a certain amount of La2O3 can not only increase the ionic conductivity of Li3PS4 electrolyte, but also enhance their interfacial stability with the electrodes effectively. The XPS analytical results reveal the enhanced stability of Li3PS4 electrolyte with La2O3 doping due to the formation of SEI film on the lithium anode. Both the static and dynamic simulations illustrate that La2O3 particles inside the Li3PS4 electrolyte could facilitate the migration of Li+ ion by way of the “space-charge effect.”
Variation in the Performance of MWCNT/ZnO Hybrid Material with pH for Efficient Antibacterial Agent
Authors: Rafique Saima , Bashir Shazia , Akram Rizwan , Kiyani Farrukh Bashir , Raza Shagufta , Hussain Mozaffar , Fatima Sayyeda Kaneez
Published: February 2022

In the present work, multiwalled carbon nanotube (MWCNT)/zinc oxide (ZnO) nanoparticles at pH 6.0, 7.0, 8.0, and 10.0 were prepared through the coprecipitation method to improve the antibacterial activity. Morphological, structural, and optical analysis, such as Fourier transform infrared spectroscopy, X‐ray diffraction, and field emission scanning electron microscopy, was used to investigate the formation of composites. Analysis revealed that there were variations in morphology from agglomerated structures to rod‐like then flower‐like structures as pH varied from 6.0 to 10.0. The MWCNT/ZnO composite enhanced the antibacterial activity especially for Staphylococcus aureus as a maximum 20 mm zone of inhibition was observed. The data presented in the present study proves that such composites are an efficient antibacterial agent and suitable for therapy for severe infections.
Hip Tenosynovial Giant Cell Tumor without Recurrence in a 9-Year Follow-Up
Authors: Kazemi Seyyed-Morteza , Hosseininejad Seyyed-Mohsen
Published: February 2022

Background. Tenosynovial giant cell tumors are a benign but rare condition with potentially aggressive tumor-like traits which should be considered in young patients with monoarticular joint involvement. Case Presentation. This report presents a 31-year-old otherwise healthy woman with a right hip pain. Clinical and histopathological investigations revealed the diagnosis of diffuse-type tenosynovial giant cell tumor of the hip (the diffuse intra-articular form of PVNS). Open synovectomy and tumor resection and surgical dislocation of the hip were performed. She was free of symptoms and recurrence within a 9-year-follow-up period. Conclusion. Open synovectomy and tumor resection through surgical dislocation of the hip without adjutant radiotherapy could be a reliable choice for the localization of the hip.
Identification of Chaos in Financial Time Series to Forecast Nonperforming Loan
Authors: Ahmadi Farid , Pourmahmood Aghababa Mohammad , Kalbkhani Hashem
Published: February 2022

This paper discusses the importance of modeling financial time series as a chaotic dynamic rather than a stochastic system. The dynamical properties of a financial time series of an economic institution in Iran were analyzed to identify the potential occurrence of the low-dimensional deterministic chaos. This paper applies several classic nonlinear techniques for detecting the chaotic nature of the time series of loan payment portion and proposes a modified nonlinear predictor scheme for forecasting the future levels of the nonperforming loan. The auto mutual information was implemented to estimate the delay time dimension, and Cao’s approach, along with correlation dimension methodology, quantified the embedding dimension of the time series. The results reveal a low embedding dimension implying the chaotic nature exists in the financial data. The maximum Lyapunov exponent measure is also adopted to investigate the divergence or convergence of the trajectories. Since positive Lyapunov exponents are revealed, the long-term unpredictability of the time series is proved. Lastly, a modified nonlinear local approximator is developed to forecast the short-term history of the time series. Numerical simulations are provided to illustrate the adopted nonlinear techniques. The results reported in this paper could have implications for commercial bank managers who could use the nonlinear models for early detection of the possible nonperforming loans before they become uncontrollable.
Research on Energy-Saving Design Method of Green Building Based on BIM Technology
Authors: Zhao Xiao-guang , Gao Chun-Ping
Published: February 2022

In view of the shortcomings of the traditional architectural design mode, such as high rework rate in the construction process and lack of collaborative design and intelligent information processing, a green building energy-saving design method based on BIM technology was proposed. Based on the comparative analysis of traditional computer-aided building design and BIM green building technology, the overall scheme of energy-saving design was constructed from the aspects of green building design principle, design preparation, and design concept. This paper expounded the connotation of energy-saving design elements from the aspects of modeling software selection, envelope energy-saving design, and lighting energy-saving design. Accordingly, the characteristics and process of building energy efficiency analysis based on BIM were proposed. Finally, the energy-saving effect evaluation method of green building based on BIM was given, and an example showed that the energy-saving design method of green building based on BIM proposed in this paper had good feasibility and effectiveness. The method proposed in this paper can provide a certain theoretical basis and application support for the application of BIM technology in the field of green building.
Nuclear Transporting Factor 2 as a Novel Biomarker of Head and Neck Squamous Cell Carcinoma and Associated with T/B Cell Receptor Signaling Pathway
Authors: Zhang Tingmin , Xi Yue , Wu Tianfu , Liu Jianfeng
Published: February 2022

Objective. This study is aimed at exploring the role of nuclear transporting factor 2 (NUTF2) in head and neck squamous cell carcinoma (HNSCC) based on The Cancer Genome Atlas (TCGA) database. Methods. We obtained 528 HNSCC patients’ clinical data from TCGA and performed expression level analysis of NUTF2. Gene Sets Enrichment Analysis (GSEA) was conducted to identify NUTF2‐associated regulatory mechanisms in HNSCC. In addition, several other tools were used to enrich the regulatory network. Results. We found that NUTF2 was significantly upregulated (P < 0.001) in HNSCC. We then observed that higher NUTF2 is associated with poorer overall survival and disease‐free survival. Further, by using Cox analyses, we determined high NUTF2 as an independent risk factor of predicting poorer overall survival. Tumor immune infiltration analysis revealed a significantly negative correlation between NUTF2 expression and the level of tumor infiltrated CD8+ T cell and B cell, suggesting that NUTF2 may be involved in the immune regulation of HNSCC. Gene sets related to T/B cell receptor signaling pathways were differentially enriched based on the NUTF2 expression phenotype. KEGG pathways were used to show that NUTF2 may affect proliferation, differentiation, and immune response of T/B cell through regulating PI3K/AKT, NFκB, MAPK, and Calcium signaling pathways. Conclusion. NUTF2 might be a valuable biomarker for HNSCC and correlated with T/B cell receptor signaling pathway.
Lead Selenium Colloidal Quantum Dots for 400‐2600 nm Broadband Photodetectors
Authors: He Ziyang , Liu Huan , Xie Fei , Bai Mingyu , Wen Shuai , Zhao Jijie , Liu Weiguo
Published: February 2022

By the photodetector manufactured using traditional semiconductor materials, such as HgCdTe and InGaAs, it is difficult to broaden the application range of such photodetectors due to their high cost and complex manufacturing process. PbSe colloidal quantum dots (CQDs) have the potential to shift the working range of photodetector from visible to infrared wavelength region, and it also has high photoresponsivity. Herein, we report the characterization of PbSe CQDs synthesized using a facile solution process, as well as the relationship between the size of nanocrystal and the reaction temperature. The films of PbSe CQDs are deposited using the layer‐by‐layer (LbL) spin‐coating method, which is then used to fabricate the photoconductive device. The fabricated device is found to have an efficient response in a broad spectrum range of 400‐2600 nm. The device maintains good responsivity of ~320 mA/W at room temperature. Its external quantum efficiency was quite high in the shorter wavelength infrared region, and it has approximately 14% external quantum efficiency (EQE) at 2520 nm. The device demonstrated excellent performance, confirming that PbSe colloidal quantum dots is a promising material for future broadband spectrum photodetectors.
Optimization of the Intelligent Asset Management System Based on WSN and RFID Technology
Authors: Chen Yunyue , Chen Guanggui
Published: February 2022

With the development of Internet of Things (IoT) technology, especially the promotion of perception layer radio frequency identification (RFID) technology and wireless sensor network (WSN), a new way of thinking is provided for asset management. Applying both to the management technology of assets is an effective way to achieve intelligent asset management. This paper proposes an intelligent network applied to an asset management system based on WSN and RFID technologies. The whole intelligent asset management is divided into four layers according to the functional structure. From the top layer downward, the layers are the management and dispatch center, communication network, intelligent gateway, and data collection layer in order. Meanwhile, the functions and hardware composition of each layer are described. The data acquisition butcher is the sensing terminal of the whole intelligent asset management network. Smart nodes are its key devices to collect RFID data and sensing data to realize the intelligent sensing capability of the assets. The paper uses the MSP430 control chip, MFRC522 RF read/write chip, CC2425 wireless communication chip, temperature sensor, data memory, and voltage regulator chip to design the smart nodes in the system and details the working principle of the smart nodes and the networking process of the system. The newly designed intelligent asset management network can be deployed independently in asset management or can be integrated into the technical design of existing asset management systems. The management scheduling also collects and manages the RFID and sensing information of the area through the data collection layer, which improves the intelligent construction of the assets.
Optimization of Multisource Dynamic Model in TBO
Authors: Li Xia , Yan Hao , Zhang Yichi
Published: February 2022

When extracting flight data from airport terminal area, there are matters such as large volume, unclear features, and similar trend in time series. In order to deal with the related issues and to optimize the description, by combining with the TBO (Trajectory-Based Operation), an application proposed by the ICAO (International Civil Aviation Organization) in ASBU (Aviation System Block Upgrade), using multisource dynamic model to establish 4DDW (4D dynamic warping) algorithm, the multisource modeling integrated with evaluation system is proposed to realize the flight path optimization with time series characteristics and accord with the interval concept. The calculation results show that 4DDW can obtain the optimal solution for multiprofile calculation of TBO by comparing the composite trajectory deviation values and time dimension planning using the buffer and threshold values recommended by ICAO in airspace planning and flight procedure design. The results meet the requirements of high accuracy and convergence features of spatial waypoints and can improve the airport operation standards and terminal area capacity.
Construction of Chinese Language Teaching System Model Based on Deep Learning under the Background of Artificial Intelligence
Authors: Kang Bochun , Kang Sicheng
Published: February 2022

The openness of modern network intelligent education provides a broader learning space for Chinese language learners. People pay more and more attention to network learning, and network intelligent teaching platforms are constantly emerging under this background. Intelligence is one of the most important characteristics of ITS. However, the current network teaching system is far from enough in the intellectualization of teaching content, form, and process. In order to improve the intelligence level of ITS, this paper studies the use of DL network with strong self-learning ability to build ITS. From the point of view of teaching students in accordance with their aptitude and accurately reflecting students’ learning state and characteristics, this paper analyzes the influencing factors in students’ learning process, puts forward factors such as students’ learning style and learning habits into the construction of a student model, and designs the student model. The future trend of ITS is predicted, and it is pointed out that this field with attractive development prospect is worthy of further research and design.
Study on Missing Data Filling Algorithm of Nuclear Power Plant Operation Parameters
Authors: Wang Tianshu , Yu Ren , Peng Qiao
Published: February 2022

By analyzing the recorded operation data of a nuclear power plant (NPP), its results can serve the fault detection or operation experience feedback. Data missing exists in the recorded operation data. It may lower the data quality and affect the accuracy of the analysis results. In order to improve the data quality, two parts of researches are carried on. Firstly, to locate the missing data accurately the detecting algorithm for missing data of the NPP operation parameters based on wavelet analysis. Different judging basis is proposed for discrete and continuous missing respectively. Then, the filling method based on the hot deck algorithm are studied. As the dynamic properties of the parameters are closely related to the operating state of NPP, the similarity of the operation parameter vectors are formed to express the similarity of the operating states, so as to fulfill the requirements of the hot deck algorithm. To improve the accuracy of the measuring results, taken the differences between the characteristics of the analog parameters and the switch parameters into consideration, the similarity measurements using Mahalanobis distance for the analog parameter vectors and the matching measure for the switch parameter vectors are studied respectively. Finally, the operation data is taken to build the experiment data set for the algorithm verification. The results shows that the designed algorithm performs much better than the mean interpolation method and LSTM.
Discrete Fourier Transform (DFT)-Based Computational Intelligence Model for Urban Carbon Emission and Economic Growth
Authors: Fu Chun , Gui Xiayun , Akter Farzana
Published: February 2022

Economic development leads to the widespread use of energy, which results in carbon emissions. In order to determine the correlation between different urban carbon emissions and fiscal growth, a coupling and coordination model of urban carbon emissions and economic growth based on discrete Fourier transform (DFT) is constructed. According to the coupling and coordinated development characteristics of economic growth and carbon emissions, the evaluation index system of the regional economy and carbon emissions is constructed. This paper examines the proportion of primary energy consumption and the influencing factors of carbon emission in a city and constructs the economic growth computational intelligence model and urban carbon emission model. The coupling degree among economic growth, carbon emission, and energy consumption is studied; the coupling standard between economic growth and energy consumption carbon emission is determined; and the carbon emission factor under the method of DFT is introduced. The coupling coordination model between economic growth and carbon emission is constructed, and the interaction mechanism between carbon emission, economic development, and environmental protection is determined. The experimental findings demonstrate that when energy consumption intensity and carbon emission are relatively low, the model’s change in the trend of coupling coordination index is comparable with the real/actual condition and the model is more reliable.
The Efficacy of Integrating Spirituality into Prenatal Care on Pregnant Women’s Sleep: A Randomized Controlled Trial
Authors: Moradi Nahid , Maleki Azam , Zenoozian Saeedeh
Published: February 2022

Objective. The study is aimed at determining the efficacy of spiritual content counselling on improving the sleep quality and insomnia severity of pregnant women. Methods. This randomized controlled trial was carried out on 40 pregnant women recruited at five health centres of Abhar, Iran, 2020. The eligible women were allocated into two intervention and control groups according to the randomized blocking method. Group counselling with spiritual content was carried out in eight sessions at 16 to 20 weeks of gestation. The control group only received routine care. Data were collected using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI) questionnaires in three stages, before the intervention, at 28, and 36 weeks of gestation. Statistical analysis was performed using repeated measure ANOVA test, chi‐square, and independent t‐tests. P < 0.05 was considered significant statistical level. Results. In the counselling group, the mean (SD) of a total score of sleep quality before the intervention was 9.45 (2.30) which decreased to 5.40 (1.56) in 36 weeks of gestational age, while in the control group was increased from 9.26 (2.15) to 11.47 (1.54). After the intervention based on the repeated measure ANOVA test, the mean total score of the insomnia severity, sleep quality, and its components decreased statistically in the second and third trimesters compared to the first trimester in the intervention group compared to the control group (P = 0.001). Conclusion. The results showed that counselling with spiritual content could effectively ameliorate sleep quality and reduce insomnia severity in pregnant women. It seems that the approach is an acceptable basis to design intervention programs in this field that can be considered by midwives. Clinical Trial Registry and Registration Number. The study was registered at the Iranian Registry of Clinical Trials under the IRCT20150731023423N15.
Remote Presentations: Making L2 Presentations Less Stressful
Authors: Aldukhayel Dukhayel
Published: February 2022

This explanatory-sequential mixed-method study was conducted to find out if the affordances of computer-mediated communication (CMC) environments help alleviate L2 public speaking anxiety when giving presentations remotely. Participants were 57 young adult EFL Arabic-speaking learners enrolled in an intermediate listening/speaking class in a preparatory 1 year program at a Saudi public university. Data were collected towards the end of the spring 2021 semester, and the study was conducted in a fully remote learning environment. Two speaking anxiety scales were administered: the Public Speaking Class Anxiety Scale (PSCAS), which measures in-person presentation anxiety, and the Remote Presentation Anxiety Scale (RPAS), an adapted version of PSCAS measuring remote presentation anxiety created and validated by this study. Online follow-up semistructured interviews were then conducted with 10 participants to explain and contextualize the results from the scales. Results of the PSCAS and RPAS analyses indicate that students had medium anxiety for in-person presentations, whereas they experienced low anxiety levels during remote presentations (RPs). Qualitative analyses of the interviews revealed that students preferred RPs over in-person presentations mainly due to its lower anxiety environment. Participants underscored several sociopsychological benefits of presenting remotely such as less stress, less confusion, high self-confidence, comfort, calmness, and relaxation. Implications for research and language teaching are discussed.
The “Tri-Glide” Technique: A Case Report on a Novel Intraoperative Approach for Removal of Retained and Encrusted Ureteral Stents
Authors: Perez Alejandra , Nolte Adam Carl , Maurici Giuseppe , Small Alexander Charles , Liem Spencer Steve , Pereira Jorge Francisco , Polackwich Alan Scott , Yanes Rafael , Shah Ojas
Published: February 2022

Background. Retained ureteral stents can result in significant morbidity and can be surgically challenging to urologists. A multimodal approach is often necessary for removal, potentially including retrograde and antegrade procedures performed over multiple anesthetic sessions. We describe the novel “Tri-Glide” technique for treating retained stents, particularly those with stent shaft encrustation prohibiting safe removal. Case Presentation. Two patients with nephrolithiasis and retained, encrusted ureteral stents were managed with the “Tri-Glide” technique. Patient #1 was a 58-year-old man with a severely calcified ureteral stent, retained for 14 years. After undergoing simultaneous cystolitholapaxy and percutaneous nephrolithotomy to treat proximal and distal encrustations, the stent shaft remained trapped in the ureter due to heavy calcifications. Three hydrophilic guidewires were passed alongside the stent, allowing it to easily slide out of the ureter intact. Patient #2 was a 74-year-old man who after only 3-months of stent dwell time developed severe stent shaft encrustation preventing removal. After multiple maneuvers failed, the “Tri-Glide” technique was used to create a smooth track for stent to slide out intact with gentle traction. Both patients did well postoperatively with no complications. Conclusion. The “Tri-Glide” technique can aid in the management of complex encrusted stent extractions, especially when there is significant shaft encrustation.
Evaluation of the Effects of Mouthwash on the Morphology and Cell Viability of Osteoblast‐Like Cells
Authors: Lim JaeHyung , Lee Ji Eun , Park Chang-Joo , Park Jun-Beom
Published: February 2022

This study evaluated the effects of multiple mouthwashes on the cellular viability or the morphology of preosteoblasts. Mouse calvarial osteoblast‐like cells were cultured and treated with mouthwashes of (1) benzydamine hydrochloride; (2) cetylpyridinium chloride and benzalkonium chloride; (3) methyl salicylate, menthol, eucalyptol, and thymol; and (4) sodium fluoride, xylitol, and chitosan. The treatment times were 30 seconds, 90 seconds, and 270 seconds. Cell morphology was evaluated with a microscope, and the viability of the treated cells was analyzed quantitatively using a commercially available kit. The untreated control group exhibited well‐stretched fibroblast‐like morphology. Treatment with mouthwash resulted in morphological changes in all groups. Treatment with sodium fluoride resulted in more noticeable changes. Treatment with mouthwash for 30 seconds produced a significant decrease in cell viability. An increase in time to 90 and 270 seconds did not produce additional noticeable changes. To conclude, commercially available mouthwashes created changes in cell morphology and decreased the cell viability of osteoblast‐like cells irrespective of ingredients and treatment time.
Multimedia Recommendation System for Video Game Based on High-Level Visual Semantic Features
Authors: Ikram Fasiha , Farooq Humera
Published: February 2022

The increase of multimedia content in e-commerce and entertainment services creates a new research gap in the field of recommendation systems. The main emphasis of the presented work is on increasing the accuracy of multimedia recommendations using visual semantic content. Recent approaches have shown that the inclusion of visual information is helpful to understand the semantic features for a recommendation model. The researchers have contributed to the field of multimedia item recommendations using low-level visual semantic features. Here, we seek to extend this contribution by exploring the high-level visual semantic content using constant visual attributes for video game recommendation systems. With the exponential growth of multimedia content in the video game industry in the last decade, researchers investigate the importance of personalized video game recommendation techniques. Previous methods have not investigated the importance of visual semantic content for video game recommendations. A practical recommendation system for video games is challenging due to the data diversity, level of user interest, and semantic complexity of features involved. This study proposed a novel method named Deep Visual Semantic Multimedia Recommendation Systems (D_VSMR) to deal with high-level visual features for multimedia recommendation systems. A visual semantic-based video game recommendation system utilizing deep learning methods for visual content learning and user profile learning is introduced. The proposed approach employs content-based techniques to expand users’ profiles. The user profile expansion is based on the visual content of games. The required datasets have been obtained from video game e-commerce platforms like Google Play Store and Amazon for evaluation purposes. The evaluation results have shown that the proposed approach’s accuracy and effectiveness have been improved up to 95.87% compared to the other state-of-the-art methods.
Phase Change Materials in Metal Casting Processes: A Critical Review and Future Possibilities
Authors: Chadha Utkarsh , Selvaraj Senthil Kumaran , Pant Harshita , Arora Anisha , Shukla Divyanshi , Sancheti Ishika , Chadha Arisha , Srivastava Divyansh , Khanna Mayank , Ram Kishore S. , Paramasivam Velmurugan
Published: February 2022

Phase change materials are the category of materials that release or absorb enough energy during phase change transformation to provide heating or cooling. Divided into two principal classes of organic and inorganic, these materials find a wide range of uses in commercial applications of casting where stable temperature and heat storage are a requirement. In this research work, application of inorganic phase change materials having significantly elevated temperature zone, especially within metal casting processes, has been discussed. Phase change material with high enthalpy of fusion and high melting point can be used for metal casting, but in a limited temperature range (between 200°C and 1300°C). In sand casting, inorganic PCM has the potential to be used as chills to provide directional solidification. Despite having advantages, inorganic PCM comes with major disadvantages, that is, toxicity, corrosivity, supercooling, and low thermal expansion. Few solutions to overcome these problems have been discussed in this research paper. Future research is required to reduce the disadvantage to a low level, so that PCM can be used in application where elevated temperature is achieved.
The Key Role of Peroxisomes in Follicular Growth, Oocyte Maturation, Ovulation, and Steroid Biosynthesis
Authors: Wang Shan , Yang HaoXuan , Fu YongLun , Teng XiaoMing , Wang ChiChiu , Xu WenMing
Published: February 2022

The absence of peroxisomes can cause disease in the human reproductive system, including the ovaries. The available peroxisomal gene-knockout female mouse models, which exhibit pathological changes in the ovary and reduced fertility, are listed in this review. Our review article provides the first systematic presentation of peroxisomal regulation and its possible functions in the ovary. Our immunofluorescence results reveal that peroxisomes are present in all cell types in the ovary; however, peroxisomes exhibit different numerical abundances and strong heterogeneity in their protein composition among distinct ovarian cell types. The peroxisomal compartment is strongly altered during follicular development and during oocyte maturation, which suggests that peroxisomes play protective roles in oocytes against oxidative stress and lipotoxicity during ovulation and in the survival of oocytes before conception. In addition, the peroxisomal compartment is involved in steroid synthesis, and peroxisomal dysfunction leads to disorder in the sexual hormone production process. However, an understanding of the cellular and molecular mechanisms underlying these physiological and pathological processes is lacking. To date, no effective treatment for peroxisome-related disease has been developed, and only supportive methods are available. Thus, further investigation is needed to resolve peroxisome deficiency in the ovary and eventually promote female fertility.