bluuebunny/crossref_metadata_2025 huggingface dataset:
(Invited) Breakthrough Avalanche and Short Circuit Robustness in Vertical GaN Power Devices
Authors: Zhang Yuhao , Zhang Ruizhe , Song Qihao , Li Qiang , Liu J.
Published: May 2022

Power devices are highly desirable to possess excellent avalanche and short-circuit (or surge-current) robustness for numerous power electronics applications like automotive powertrains, electric grids, motor drives, among many others. Current commercial GaN power device, the lateral GaN high-electron-mobility transistor (HEMT), is known to have no avalanche capability and very limited short-circuit robustness. These limitations have become a roadblock for penetration of GaN devices in many industrial power applications. Recently, through collaborations with NexGen Power Systems (NexGen), Inc., we have demonstrated breakthrough avalanche, surge-current and short-circuit robustness in NexGen’s vertical GaN p-n diodes and fin-shape junction-gate field-effect-transistors (Fin-JFETs). These large-area GaN diodes and Fin-JFETs were manufactured in NexGen’s 100 mm GaN-on-GaN fab. The demonstrated avalanche, surge-current and short-circuit capabilities are comparable or even superior to Si and SiC power devices. Additionally, vertical GaN Fin-JFETs were found to fail to open-circuit under avalanche and short-circuit conditions, which is highly desirable for the system safety. This talk reviews the key robustness results of vertical GaN power devices and unveils the enabling device physics. Fundamentally, these results signify that, in contrast to some popular belief, GaN devices with appropriate designs can achieve excellent robustness and thereby encounter no barriers for applications in electric vehicles, grids, renewable processing, and industrial motor drives.
Power Cycling Test Failure Analysis of SiC MOSFET Devices
Authors: KIM Mijin , Kang Inho , SEO Jae HWA , Hong Tae-eun , Jeong Jee-Hun , Yoo Dahui , Lee Ho-Jun
Published: May 2022

In this paper, we performed power cycling test (PCT) under harsh operation conditions: mean junction temperature (Tjm) of 120 ℃ and junction temperature swing (ΔTj) of 110 ℃, to analyze failure modes in PCT for commercial silicon carbide (SiC) MOSFETs with TO-247 package. To attain this goal, various electrical characteristics, including output curve, transfer curve, and capacitances, were measured before and after the PCT and were compared. In addition, the scanning electron microscope (SEM) inspection, the secondary ion mass spectrometry (SIMS) analysis, and the numerical simulation were utilized. The failure mode analysis reveals that the cracks in the source wire bond created after PCT increased the on-state resistance and that the SiO2/SiC interface degradation also leads to higher on-state resistance (RDS,on).
Nanostructured Pt-Ru Catalyst Supported on Si-Containing Ordered Mesoporous Carbon Hollow Spheres for the Ethanol Oxidation Reaction
Authors: Serna-Mata Jesús Humberto , Díaz-Guillén José Alonso , Rodriguez-Varela Francisco Javier , Carrillo-Rodriguez J.C. , Alonso-Lemus Ivonne L , Garcia-Lobato M.a.
Published: May 2022

Pt-Ru nanoparticles were dispersed on N-doped Ordered Mesoporous Carbon Hollow Spheres containing Si (N-OMCHS-Si), to obtain the Pt-Ru/N-OMCHS-Si nanocatalyst. Its catalytic activity for the Ethanol Oxidation Reaction (EOR) was evaluated in acid media. Pt-Ru/N-OMCHS-Si showed a higher mass catalytic activity at more negative onset potential (Eonset) for the EOR than Pt-Ru/N-OMCHS (i.e., support without Si), Pt/C and Pt-Ru/C (where C is Vulcan XC-72). Pt-Ru/N-OMCHS-Si also demonstrated a high tolerance to CO, oxidizing the molecule at potentials of comparable negative values as Pt-Ru/C. Moreover, Pt-Ru/N-OMCHS-Si showed enhanced electrochemical stability after Accelerated Degradation Test (ADT) compared to Pt-Ru/C. The high performance of Pt-Ru/N-OMCHS-Si was ascribed to the formation of Pt-Ru alloyed phases and the presence of Si oxides at the hollow spheres.
(Digital Presentation) Effects of Foreign Elements Added Oxide-Based Electrocatalyst for Oxygen Reduction Reaction as Non-Precious Metel Cathodes
Authors: Matsuzawa Koichi , Obata Momo , Takeuchi Yuu , Ohgi Yoshiro , Ikegami Kaoru , Nagai Takaaki , Monden Ryuji , Ishihara Akimitsu
Published: May 2022

In order to investigate the addition effect of foreign element and CNT on the ORR activity, Ti oxide-based electrocatalysts were prepared from precursors originated from oxy-titanium tetra-pyrazino-porphyrazine and evaluated its electrochemical characteristic. The Ti oxide-based electrocatalyst with Fe-based addition (Fe-TiOx, FeZn-TiOx, and FeNiZn-TiOx) has enhanced OER activity than that without any addition. Moreover, above catalyst powder supported on carbon nanotube (CNT) reached higher OER activity than that without any support. Foreign element addition can contribute to form higher quality of active site of ORR compared to the sample without any addition. The CNT would be effective for enhance surface area of Ti oxide-based electrocatalyst powder.
3D Printable Reservoirs for Potentiometric Analysis of Solid Samples
Authors: Glasco Dalton Lee , Bell Jeffrey Gordon
Published: May 2022

Potentiometric sensing is highly effective for diagnostic testing of many important ionic biomarkers. Outside of biological samples, ion-selective electrodes (ISEs) have been utilized for environmental and forensic analyses due to their high specificity and sensitivity. Unfortunately, many samples to be analyzed are solids (e.g., powders, soils, etc.), which require sample preparation steps prior to analysis. In this work, we describe the coupling of 3D printed ISEs with 3D printable hydrogels towards the ability to perform potentiometric analysis of solid samples. The hydrogel works as a sampling well, dissolving solid samples and allowing the ions to diffuse to the ISE for quantification. As a proof-of-concept demonstration we present the use of hydrogels to dissolve and transport tetrabutylammonium ions (TBA+), introduced to the hydrogel as a solid salt (TBA+Br-), through the hydrogel to the ISE. Solid sample analysis of TBA+ was achieved from 10 mM to 1 mM with a Nernstian response of 61 mV/Decade.
Cytokine receptor gp130 promotes postnatal proliferation of cardiomyocytes required for the normal functional development of the heart
Authors: Kawagishi Hiroyuki , Nakada Tsutomu , Numaga-Tomita Takuro , Larrañaga Maite , Guo Ang , Song Long-Sheng , Yamada Mitsuhiko
Published: May 2022

Although cardiomyocytes undergo proliferation in the early postnatal period, the regulatory mechanisms and physiological importance of this process have not been clarified. We found that the pharmacological and genetic depletion of gp130 or the neutralization of IL-6 with an antibody in preweaning mice resulted in significant impairment of cardiomyocyte proliferation, thinning of the myocardium, and systolic dysfunction of the left but not right ventricle by perturbing JAK/STAT3 signaling. Thus, the IL-6/gp130/JAK/STAT3 axis is crucial for the postnatal functional development of the left ventricle.
Diagnosis of Alzheimer’s Disease with Extreme Learning Machine on Whole-Brain Functional Connectivity
Authors: Lu Jia , Zeng Weiming , Zhang Lu , Shi Yuhu
Published: May 2022

The analysis of human brain fMRI subjects can research neuro-related diseases and explore the related rules of human brain activity. In this paper, we proposed an algorithm framework to analyze the functional connectivity network of the whole brain and to distinguish Alzheimer’s disease (AD), mild cognitive impairment (MCI), and cognitively normal (CN). In other studies, they use algorithms to select features or extract abstract features, or even manually select features based on prior information. Then, a classifier is constructed to classify the selected features. We designed a concise algorithm framework that uses whole-brain functional connectivity for classification without feature selection. The algorithm framework is a two-hidden-layer neural network based on extreme learning machine (ELM), which overcomes the instability of classical ELM in high-dimensional data scenarios. We use this method to conduct experiments for AD, MCI, and CN data and perform 10-fold cross-validation. We found that it has several advantages: (1) the proposed method has excellent classification accuracy with high speed. The classification accuracy of AD vs. CN is 96.85%, and the accuracy of MCI vs. CN is 95.05%. Their AUC (area under curve) of ROC (receiver operating characteristic curve) reached 0.9891 and 0.9888, respectively. Their sensitivities are 97.1% and 94.7%, and specificities are 96.3% and 95.3%, respectively. (2) Compared with other studies, the proposed method is concise. Construction of a two-hidden-layer neural network is to learn features of the whole brain for the diagnosis of AD and MCI, without the feature screening. It avoids the negative effects of feature screening by algorithm or prior information. (3) The proposed method is suitable for small sample and high-dimensional data. It meets the requirements of medical image analysis. In other studies, its classifiers usually deal with several to dozens of feature dimensions. The proposed method deals with 4005 feature dimensions.
Construction of Application Model of Accounting Framework Platform for Industry-Finance Integration Management under the Background of Multimedia Technology
Authors: Bian Wenying , Bian Wenmin
Published: May 2022

With the rapid development of multimedia technology today, digital technology research has penetrated into various fields. Based on the integration of industry and finance, management accounting breaks the barriers of business and financial communication, makes business and financial processes penetrate each other, reduces financial levels, improves work efficiency, and helps enterprises create value and improve their core competitiveness. In recent years, with the continuous emergence of new technologies such as big data, cloud computing, and blockchain, how to rely on multimedia technology to effectively realize the platform model of management accounting aiming at “integration of industry and finance” is a difficult problem faced by enterprise management. Combined with the characteristics of multimedia technology, this paper embeds the neural network algorithm in the design of the model and matches the optimization and processing of management accounting in decision-making under the guidance of fuzzy theory. Business decision-making is the core of all the work of enterprise management. The formulation of its decision-making scheme involves all business fields of the enterprise. The implementation of the decision-making scheme directly affects the business performance of the enterprise. The correctness of the decision-making scheme is directly related to the success or failure of the enterprise. Extracting and utilizing the huge financial data generated during the daily management of the enterprise’s financial department, a multimedia technology-based enterprise management accounting analysis model is designed and implemented.
Distribution Law of Deep Complex In Situ Stress and Influence of Underground Engineering in Huanghuai Area
Authors: Tao Wenbin , Dai Luxin , Yu Lin , Tang Bin , Cheng Shaozhen
Published: May 2022

Huanghuai area is rich in coal resources, but due to the increasingly complex geological environment faced by coal mining, the complexity of structural stress is one of the main problems. In order to find out the distribution law of deep in situ stress in the Huanghuai area, the in situ stress measurement data of 81 effective measuring points in 24 mines with depths ranging from −100 m to −1200 m are analyzed in the present study base on the in situ stress measurement data. Furthermore, numerical simulation and field observation are used to analyze the deformation and failure characteristics of the surrounding rock. The research results show that the deep mining area of Huanghuai exhibited a high stress level, and the vertical and horizontal principal stress increases with increasing depth. The ratio of the lateral pressure coefficient ranges from 0.90 to 2.70, and the in situ stress field presented a trend of transition to the quasihydrostatic pressure field type as the depth extended, in which 80.23% of the measuring points are distributed between 1.20 and 2.10, belonging to the typical tectonic stress field type in which tectonic stress is absolutely dominant. The observation results of the surrounding rock and numerical simulation reveal that when the layout axis of the roadway is approximately perpendicular to the direction of the maximum horizontal principal stress, a high stress concentration area is present on the roof and floor of the roadway, the deformation increases sharply, and the support pressure of the roof and floor increases.
Rotating Machinery Fault Diagnosis Based on Adaptive Vibration Signal Processing under Safety Environment Conditions
Authors: Zhen Jingran
Published: May 2022

At present, the degree of industrialization in China is deepening, and various types of production equipment appear. However, during the startup and operation of mechanical equipment, fracture and wear will occur due to various factors. Therefore, once the mechanical equipment fails, it must be diagnosed as soon as possible to avoid serious economic losses and casualties. Rotating machinery is an important power device, so it is necessary to regularly detect and monitor equipment signals to avoid the consequences of wrong control methods. In this study, the fault diagnosis of rotating machine based on adaptive vibration signal processing is studied under the safe environmental conditions. The fault diagnosis process of rotating machinery is to first collect vibration signals, then process signal noise reduction, and then extract fault characteristic signals to further identify and classify fault status and diagnose fault degree. This study briefly introduces several rotating machinery vibration signal processing methods and identifies the fault state of the rotating machine based on the high-order cumulant. By building a DDS fault diagnosis test bench, the chaotic particle swarm parameter optimization algorithm is used to calculate the accurate stochastic resonance parameters. After noise processing, the high-frequency part is significantly reduced. The results show that, after stochastic resonance wavelet decomposition and denoising processing, the number of intrinsic functions can be significantly reduced, the fault frequency can be increased, the high-frequency noise can be reduced, and the fault analysis accuracy can be improved. We identify the fault state of rotating machinery based on the high-order cumulant, train the four states of the bearing, and compare the four types of faults, no fault, inner ring fault, rolling element fault, and outer ring fault through the comparison of the actual test set and the predicted test set. It is concluded that the rotating machinery fault belongs to the rolling element fault and the identification accuracy rate is 95%. Finally, based on the LMD morphological filtering, the rotating machinery fault diagnosis is carried out, and the feature extraction is carried out based on the LMD algorithm to decompose the bearing fault signal. Finally, the result after the morphological filtering and LMD decomposition and extraction can avoid noise interference.
An Online Extraction Algorithm for Image Feature Information Based on Convolutional Neural Network
Authors: Wei Dahuan
Published: May 2022

As a result of fast technological improvement and the rise of online social media, image data have grown rapidly. Because of their rich content and intuitiveness as one of the key modes of people's daily communication, as a result, images are often used as communication vehicles. When it comes to image recognition, picture feature extraction is a critical stage, and the effect of image feature extraction directly impacts the effectiveness of image recognition. Furthermore, feature extraction is a key factor to consider that influences picture recognition accuracy. Unfortunately, due to the effects of individual variations and lighting, certain elements that are significantly connected to alterations in the image are hard to extract. As a result, features that appropriately show the changing interface are urgently needed. For this purpose, this research proposes an expression identification approach based on a deep convolutional neural network for the job of facial expression recognition under online picture feature information extraction. It uses the VGG19 and Resnet18 to recognize and classify facial expressions. After that, the DCNs have combined feature extraction and classification into a single network using deep convolutional neural networks (DCNs). The proposed model is compared to the most recent approach in the context of the FER2013 and CK + databases. The experimental results reveal that this method outperforms the competition, and the amount of useful image feature information that can be extracted is substantial.
Solvability of Implicit Fractional Order Integral Equation in

ℓ

p

1
≤
p

<

∞

Space via Generalized Darbo’s Fixed Point Theorem
Authors: Haque Inzamamul , Ali Javid , Mursaleen M.
Published: May 2022

We present a generalization of Darbo’s fixed point theorem in this article, and we use it to investigate the solvability of an infinite system of fractional order integral equations in

ℓ

p

1
≤
p

<

∞

space. The fundamental tool in the presentation of our proofs is the measure of noncompactness

mnc

approach. The suggested fixed point theory has the advantage of relaxing the constraint of the domain of compactness, which is necessary for several fixed point theorems. To illustrate the obtained result in the sequence space, a numerical example is provided. Also, we have applied it to an integral equation involving fractional integral by another function that is the generalization of many fixed point theorems and fractional integral equations.
The CON−H…+NH2 Blue-Shifting H-Bond Stabilizing Effect on Z Secondary Amides and Cyclic System Conformational Rearrangement through an Alkylamine-Chain Migration Pathway
Authors: Spychala Jaroslaw
Published: May 2022

The paper is focusing on the amide linkage exceptional properties and usage of chemistry (conformational rearrangement, geometrical stereoisomers, spectroscopic blue shift phenomenon, protonation and deprotonation reactions, synthetic scope, and mechanistic implications). Hydrogen-bond-stabilized acylation reactions of a diamine with thioamides or nitriles reveal how substituents influence both the outcome of stereoselectivity and interactions. Inferring the chemical mechanism from the structures of reactants is dissimilar to the appropriate E isomers, the Z form becomes more favored in the secondary amides obtained. One conclusion from the estimation of Z structures, based on the 1H-15N 2D NMR spectra in comparison with the references, is the existence of the intramolecular, blue shifting CON−H…+NH2CH3 hydrogen bonds. The rearrangement of a methylamino residue provided the free base stabilized in the CH3N−H…O=CNH after deprotonation. An essential part of the publication describes systems in a highly stereoselective fashion, so the stereochemical outcome of the product is predictable now.
The Immunological Properties of Nanomaterials for Repairing Knee Ligament Sports Injuries
Authors: Li Xueliang
Published: May 2022

With the development of science and the advancement of medicine, there are more and more treatment methods for repairing knee ligament sports injuries. At present, the common method of ligament repair is to implant artificial synthetic materials or natural biological materials into the body to form artificial ligaments to repair and reconstruct damaged ligaments. Existing ligament repair techniques are often accompanied by sequelae, and the implants are not well adapted. The purpose of this article is to compare the degree of repair of damaged ligaments after implantation of artificial ligaments made of different nanomaterials and to study the mechanical properties, biomechanical properties, and immunological properties of artificial ligaments implanted in the body, in order to explore the role of different artificial ligaments on knee ligament repair. According to the different synthetic materials of artificial ligaments, the experimental subjects were divided into three groups: silk fibroin polycaprolactone nanofiber membrane group (SF/PCL), polycaprolactone nanofiber membrane group (PCL), and control group. By comparing the biocompatibility, cell adhesion, cell proliferation rate, and repair ability of collagen fiber formation of the experimental scaffold after implantation in the body, as well as its immunological performance, the results of the study showed that compared with PCL, SF/PCL increased its biocompatibility by 25%, increased its cell proliferation by 57%, increased its somatic cell adhesion by 35%, and increased its collagen fiber formation by 12%, the porosity is about 60%, and the load is as high as 907 ± 132 N. The data shows that the silk fibroin polycaprolactone nanofiber membrane scaffold has good biocompatibility, degradability, and mechanical properties.
Topological Properties of Nano Sheets Based on Octa Graphene
Authors: Farooq Fozia Bashir
Published: May 2022

Octa Graphene is a carbon nanosheet constructed by octagons and squares to build a unit cell. Topological properties of nano sheets based on Octa graphene are investigated in this article for the first time. Octa Graphene play a role as a Nano carrier for drug delivery and plays vital role in cell base drug delivery applications. Two structures, Namely Octa‐Grayphyne and Octa‐Graphdine are investigated topically in this article. Mechanically Octa‐Grayphyne and Octa‐Graphdine are of immense interest in Nano structural batteries and other Nano devices. The ultimate value of these Nano sheets in nano electronics can be interpreted by observing their electronic structure and vibrational properties.
Performance Characteristics of Digital Media Art Design Relying on Computer Technology
Authors: Ye Weina , Li Yuhui
Published: May 2022

Research Purposes. The performance characteristics of traditional digital media art have been gradually accepted by people, which is not innovative enough for people, so this paper mainly studies the design performance characteristics of a new digital media art design relying on computer technology. Research Method. This paper analyzes the concept and characteristics of digital media art based on the relevant theory of computer, combined with computer-aided technology and IRT theory. This paper finally designs the digital media art form based on computer technology. This paper also designs the USB trace feature extraction experiment, computer technology development investigation, and experimental test, and finally optimizes by analyzing the data obtained from the experiment. In order to verify the difference between the representation designed in this paper and the traditional representation, this paper also designs a set of control experiments. Research Result. The results show that the expression of artistic creation based on the digital media art expression designed in this paper is 14.12% higher than that of the traditional artistic expression. However, the innovative effect of the artistic creation based on the digital media art expression designed in this paper is 20.27% higher than that of the traditional expression.
Mechanical Behavior of Aluminum and Graphene Nanopowder-Based Composites
Authors: Sekhar K Ch , Surakasi Raviteja , Roy Dr. Pallab , Rosy P.Jacquline , Sreeja T.K. , Raja S , Chowdary Velivela Lakshmikanth
Published: May 2022

Producing items that are of both high quality and long lasting is a difficult task for companies right now. There is a huge need for a wide range of engineering materials in today’s technologically advanced globe. The strength and qualities of the material determine the amount of material that may be used. Due to its excellent mechanical qualities and low density, aluminum-7075 alloy is mostly employed in transportation applications such as aerospace, marine, and vehicle production. This study addresses the fabrication and characterization of Al7075 semisolid metal matrix composite (MMC) reinforced with graphene nanoparticles. Samples are made with and without stirring graphene in aluminum-7075 at various temperatures of 800°, 830°, 860°, 890°, and 920°C. At these temperatures, the material is semisolid, so graphene is introduced and stirred into the molten liquid. The specimens meet the requirements of the American Society for Testing and Material (ASTM). The hardness, tensile strength, impact strength, and compression strength of various materials are evaluated and compared. Temperature lowers tensile strength, hardness, and compression. A scanning electron microscope (SEM) is used to examine the microstructure. The specimen is evaluated using ANSYS. Specimens with stirring have better mechanical characteristics. Graphene has high hardness and strength.
High‐Tech Industrial Agglomeration and Urban Innovation in China’s Yangtze River Delta Urban Agglomeration: From the Perspective of Industrial Structure Optimization and Industrial Attributes
Authors: Xu Dan , Yu Bo , Liang Lina
Published: May 2022

What is the interplay of high‐tech industrial agglomeration and urban innovation? How does high‐tech industrial agglomeration affect urban innovation? What are the heterogeneous effects of high‐tech industry agglomeration on urban innovation in different conditions? To answer these questions, this paper analyzes the interrelationship between high‐tech industry agglomeration and urban innovation based on panel data of China’s Yangtze River Delta urban agglomeration from 2010 to 2019. We discuss the influence mechanism of high‐tech industrial agglomeration on urban innovation by exploring the mediating effect of industrial structure optimization and the threshold effect of industrial attributes. The heterogeneous impact of high‐tech industry agglomeration on urban innovation is also been further studied. We find that (1) the interaction relationship between high‐tech industry agglomeration and urban innovation output is positive. (2) The advancement of industrial structure plays a positive intermediary role between high‐tech industrial agglomeration and urban innovation output, while the rationalization of industrial structure shows a suppressing effect. (3) There are different threshold effects between capital intensity and technology intensity. The influence of high‐tech agglomeration on urban innovation is positive only when the capital intensity exceeds 1.125. However, the influence is always positive in different levels of technology intensity, significantly. When the technology intensity is higher than 9.012E − 06, the degree and significance of this positive impact would decrease. (4) There are heterogeneous impacts of high‐tech industry agglomeration on urban innovation output in the Yangtze River Delta urban agglomeration in different time stages, urban innovation development stages, and urban circles.
Impact of Closed Operation Strategies on Profit of Core Enterprise in Closed Supply Chain for Vegetables: A System Dynamics Approach
Authors: Liu Lingling , Sukhotu Vatcharapol
Published: May 2022

This paper aims to, from the new perspective of the impact of closed operation strategies on profit of core enterprise, adopt the theory of closed supply chain, find solutions to maximize control of vegetable quality and safety, and improve profit of core enterprises in the supply chain. Two of the most representative vegetables exported from Yunnan Province to Thailand are selected for this empirical study. And the system dynamics model witnesses the completion of simulation and forecast under eight schemes, respectively. Through contrastive analysis, the development trends of the two vegetables come to the same conclusion; that is, simultaneously strengthening the three closed strategies enables the creation of the biggest economic benefit for core enterprises in vegetable supply chain from Yunnan Province to Thailand.
Machine Learning Application of Transcranial Motor-Evoked Potential to Predict Positive Functional Outcomes of Patients
Authors: Jamaludin Mohd Redzuan , Lai Khin Wee , Chuah Joon Huang , Zaki Muhammad Afiq , Hasikin Khairunnisa , Abd Razak Nasrul Anuar , Dhanalakshmi Samiappan , Saw Lim Beng , Wu Xiang
Published: May 2022

Intraoperative neuromonitoring (IONM) has been used to help monitor the integrity of the nervous system during spine surgery. Transcranial motor-evoked potential (TcMEP) has been used lately for lower lumbar surgery to prevent nerve root injuries and also to predict positive functional outcomes of patients. There were a number of studies that proved that the TcMEP signal’s improvement is significant towards positive functional outcomes of patients. In this paper, we explored the possibilities of using a machine learning approach to TcMEP signal to predict positive functional outcomes of patients. With 55 patients who underwent various types of lumbar surgeries, the data were divided into 70 : 30 and 80 : 20 ratios for training and testing of the machine learning models. The highest sensitivity and specificity were achieved by Fine KNN of 80 : 20 ratio with 87.5% and 33.33%, respectively. In the meantime, we also tested the existing improvement criteria presented in the literature, and 50% of TcMEP improvement criteria achieved 83.33% sensitivity and 75% specificity. But the rigidness of this threshold method proved unreliable in this study when different datasets were used as the sensitivity and specificity dropped. The proposed method by using machine learning has more room to advance with a larger dataset and various signals’ features to choose from.
Alterations of the Gut Microbiome in Chinese Zhuang Ethnic Patients with Sepsis
Authors: Yu Jieyang , Li Hongping , Zhao Jingjie , Huang Yanhua , Liu Chunlei , Yang Pengfei , Lu Dinggui , Song Jian , Meng Lingzhang
Published: May 2022

Objectives. Sepsis is characterized as a dysregulated host immune response to infection and has been known to be closely associated with the gut microbiome. This study was aimed at investigating the gut microbial profiles of Zhuang ethnic patients with sepsis. Method. Eleven Zhuang ethnic patients with sepsis and 20 healthy individuals (controls) were recruited at the Baise City People’s Hospital, China. Their gut microbial community profiles were analyzed by 16S rRNA gene sequencing using the Illumina MiSeq system. Results. The gut microbial community of patients with sepsis was significantly altered compared to that of the healthy individuals based on the results of principal coordinate analysis and microbial ecological networks. Additionally, significantly lower microbial alpha diversity was observed in patients with sepsis than in healthy individuals. In particular, the enrichment of Bilophila, Burkholderia, Corynebacterium, and Porphyromonas, along with the reduced abundance of a large number of short-chain fatty acid-producing microbes, including Roseburia, Bifidobacterium, Faecalibacterium, Coprococcus, Blautia, Clostridium, Ruminococcus, and Anaerostipe was observed in patients with sepsis compared to the control group. Moreover, patients with sepsis could be effectively classified based on the abundance of these bacteria using a support vector machine algorithm. Conclusion. This study demonstrated significant differences in the gut microbiome between Zhuang ethnic patients with sepsis and healthy individuals. In the future, it is necessary to determine whether such alterations are the cause or consequence of sepsis.
Risk Factors and Risk Model Construction of Stroke in Patients with Vertigo in Emergency Department
Authors: Zhu Zhuqing , Li Qian , Wang Li , Xiao Chunling , Wang Hui , Xu Yan
Published: May 2022

Objective. We aimed to explore the risk factors of stroke in patients with vertigo in the emergency department and establish a risk prediction model for stroke patients. Methods. A total of 301 patients experiencing vertigo in our hospital from January 2020 to January 2021 were retrospectively included. Patients were divided into the stroke group (

n
=
56

) and the nonstroke group (

n
=
245

). The clinical characteristics of patients in both groups were collected and compared, followed by binary logistic regression that was employed to determine the risk factors that affect stroke diagnosis. The receiver operating characteristic (ROC) curve was used to clarify the effectiveness of the constructed model. Results. Patients in the stroke group were older and had higher systolic and diastolic blood pressure on admission than the nonstroke group. Meanwhile, they demonstrated a higher proportion of diabetes and atrial fibrillation and focal muscle weakness, dysarthria, dysphagia, or ataxia in neurological examinations compared to the nonstroke group (all

P
<
0.05

). The proportion of patients in the nonstroke group who had a history of vertigo or inner ear disease was significantly higher than that in the stroke group (

P
<
0.05

). The patient’s

age
≥
60

years old (

OR
=
3.57

), diabetes (

OR
=
4.57

), atrial fibrillation (

OR
=
4.26

), previous history of vertigo or inner ear disease (

OR
=
0.16

), focal muscle weakness (

OR
=
4.34

), and dysphagia or ataxia (

OR
=
4.08

) were associated with a higher risk of stroke. The area under the curve for stroke was 0.87, and the sensitivity and specificity were 98.2% and 57.6%, respectively, as the sum of the assigned scores was greater than 3. Conclusions.

Age
≥
60

years old, diabetes, atrial fibrillation, previous history of vertigo or inner ear disease, focal muscle weakness, dysphagia, or ataxia were associated with a higher risk of stroke. The risk model constructed based on our findings may help to assess the risk of stroke in patients with vertigo in the emergency department.
Research on Hologram Based on Holographic Projection Technology
Authors: Li Yan , Yu Qun , Wu Yu , Wei Changcheng
Published: May 2022

In recent years, holographic projection technology has been integrated into the real society, which brings a new visual experience to people and meets their high requirements for audiovisual experience. With the development of holographic technology, the hologram from holographic technology has also attracted people’s attention. The application of holograms in the fields of art, science, and technology conforms to the trend of the times and will become an indispensable part of people’s life in the future. In this paper, it mainly studies the hologram to analyze its algorithm and production process and its application prospects.
The Value of SII in Predicting the Mortality of Patients with Heart Failure
Authors: Yuan Miao , Ren Fuxian , Gao Dengfeng
Published: May 2022

Background. The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients. Methods. Critically ill patients with HF were identified from the Medical Information Mart for Intensive Care III (MIMIC III) database. Patients were divided into three groups according to tertiles of SII (group 1, group 2, group 3). We used Kaplan-Meier curves and Cox proportional hazards regression models to evaluate the association between the SII and all-cause mortality in HF. Subgroup analysis was used to verify the predictive effect of the SII on mortality. Results. This study included 9107 patients with a diagnosis of HF from the MIMIC III database. After 30, 60, 180, and 365 days of follow-up, 25.60%, 32.10%, 41.30%, and 47.50% of the patients in group 3 had died. Using the Kaplan-Meier curve, we observed that patients with higher SII values had a shorter survival time (log rank

p
<
0.001

). The Cox proportional hazards regression model adjusted for all possible confounders and indicated that the higher SII group had a higher mortality (30-day:

HR
=
1.304

,

95
%
CI
=
1.161
−
1.465

, 60-day:

HR
=
1.266

, 95%

CI
=
1.120
−
1.418

, 180-day:

HR
=
1.274

,

95
%
CI
=
1.163
−
1.395

, and 365-day:

HR
=
1.255

,

95
%
CI
=
1.155
−
1.364

). Conclusions. SII values could be used as a predictor of prognosis in critically ill patients with HF.
Antimicrobial Properties of Strychnos phaeotricha (Loganiaceae) Liana Bark Secondary Metabolites at the Interface of Nanosilver Particles and Nanoencapsulation by Chitosan Transport Vehicles
Authors: Tchangou Njiemou Armel Florian , Paboudam Gbambie Awawou , Fannang Simone Veronique , Vayarai Manaoda Antoine , Gvilava Vasily , Spieß Alex , Fonye Nyuyfoni Gildas , Mepoubong Kegne Nelie Alida , Ntoumba Agnes Antoinette , Belle Ebanda Kedi Philippe , Enone Bertin Sone , Ngolsou Francis , Sikapi Fouda Jean Yves , Avom Mbeng Joel Olivier , Nnange Akweh Mesode , Houatchaing Kouemegne Armelle Michelle , Yana Daniel Aurelien , Chimi Geordamie , Somba Alex Vincent , Deli Vandi , Nnanga Nga Emmanuel , Eya’ane Meva Francois , Janiak Christoph
Published: May 2022

In this study, Strychnos phaeotricha liana bark extract was used as a metabolite container both on the surface of metallic nanosilver and encapsulated by a chitosan polymer. The plant extract was able to reduce Ag+ into Ag0 efficiently, and the encapsulation rate was determined. The synthesized nanoderivatives were characterized using ultraviolet‐visible spectrophotometry (UV‐Vis), Fourier transform infrared (FTIR) spectroscopy, powder X‐ray diffraction (PXRD), scanning electron microscopy (SEM), and energy dispersive X‐ray (EDX) spectroscopy. These methods allowed for the determination of grain size, elemental mapping, form, and the presence of secondary metabolites at the interface of the silver. Antimicrobial properties and the oral acute toxicity profile of the generated nanoderivatives were assessed. Overall, the results show plasmon resonance bands 380–550 nm in range and metabolites at the interface of a spherical nanosilver grain of 13.5 nm diameter in size. The hybrid nanosilver and encapsulated chitosan exhibited significant antimicrobial activity against Salmonella spp, Echerichia coli, and Candida spp. Both nanosilver grains and nanocapsules were found to be nontoxic at the tested doses and are potential models to prevent microbial resistance.
Relationship between Patients’ Baseline Characteristics and Survival Benefits in Immunotherapy-Treated Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis
Authors: Hu Xuanbo , Liu Yafeng , He Yuxiao , Wang Zibo , Zhang Hongyan , Yang Wei , Lu Jibin
Published: May 2022

Background. The difference of patients’ baseline characteristics such as sex, age, Eastern Cooperative Oncology Group performance status (ECOG PS), and smoking status may influence the immune response. However, little is known about whether these factors affect the efficacy of immune checkpoint inhibitors (ICIs) in patients with advanced non-small-cell lung cancer (NSCLC). Therefore, we performed this systematic review and meta-analysis to investigate the relationship between patients’ baseline characteristics and survival benefits in immunotherapy-treated NSCLC. Materials and Methods. We performed a systematic search of PubMed, the Cochrane Library, and Embase for randomized controlled trials (RCTs) of NSCLC immunotherapy. We also searched abstracts and presentations from the proceedings of the American Society of Clinical Oncology and the European Society of Medical Oncology to identify unpublished studies. These studies have available data based on patients’ baseline characteristics (such as sex, age, ECOG PS, and smoking status). We take the hazard ratios (HRs) and 95% confidence intervals (CIs) of overall survival (OS) as the effect index and use the random effect model to pool the results. Results. We included 18 phase II/III RCTs with a total of 14,189 participants. The benefits of ICIs were found for both male (pooled OS-HR 0.77, 95% CI 0.72-0.82,

P
<
0.05

) and female patients (pooled OS-HR 0.77, 95% CI 0.67-0.87,

P
<
0.05

); for both younger (<65 y: pooled OS-HR 0.74, 95% CI 0.68-0.81,

P
<
0.05

) and older patients (≥65 y: pooled OS-HR 0.80, 95% CI 0.75-0.86,

P
<
0.05

); and for both patients with

ECOG
 
PS
=
0

(pooled OS-HR 0.77, 95% CI 0.71-0.84,

P
<
0.05

) and ECOG

PS
≥
1

(pooled OS-HR 0.76, 95% CI 0.70-0.82,

P
<
0.05

). Moreover, there was no significant difference in the efficacy of ICIs among different sex (

P

value for interaction = 0.955), age (

P

value for interaction = 0.17), or ECOG PS (

P

value for interaction = 0.765). However, in patients with different smoking status, the application of ICIs significantly prolonged the OS of smokers (pooled OS-HR 0.77, 95% CI 0.71-0.83,

P
<
0.05

) but could not significantly improve the OS of never smokers (pooled OS-HR 0.85, 95% CI 0.70-1.03,

P
>
0.05

). Conclusions. ICIs could significantly improve prognosis in patients with advanced NSCLC, regardless of sex, age, or ECOG PS. But among patients with different smoking status, the survival benefits of never smokers treated with ICIs were no better than that of controls. The impact of these factors on immunotherapy should be considered in the future clinical practice and guidelines.
Ground State Solutions for a Nonlocal System in Fractional Orlicz-Sobolev Spaces
Authors: El-Houari Hamza , Moussa Hicham , Chadli Lalla Saâdia
Published: May 2022

We consider an elliptic system driven by the fractional

a

.

-Laplacian operator, with Dirichlet boundary conditions type. By using the Nehari manifold approach, we get a nontrivial ground state solution on fractional Orlicz–Sobolev spaces.
Completely Recuperative Supercritical CO2 Recompression Brayton/Absorption Combined Power/Cooling Cycle: Performance Assessment and Optimization
Authors: Han Bing-Chuan , Chen Yong-Dong , Yu Gai-Ge , Wu Xiao-Hong , Zhou Tao-Tao
Published: May 2022

Excessive heat losses and water consumption in cooling units are significant constraints restricting the application circumstances and performances for the SCO2 Brayton cycle, and the heat exchange capacity in the precooler (PRC) is typically 1.5 times that of power generation. Therefore, this research offers a high-integrated combined power/cooling system in which two waste heat exchangers (WHEs) and a rectifier (RET) are used instead of the PRC to achieve 100% exhaust heat recovery. Each component’s energy and exergy models are developed, and the operational characteristics, coupling relationships, and exergy destruction distribution are examined. Results indicate that, when compared to the Brayton cycle, the thermal and exergy efficiency is considerably increased, and the concentration difference and WHE1 pitch point difference have significant influences on system performance. Further exergoeconomic and optimization analysis reveals that the superior exergy case is mostly recommended for relevant thermal and exergy efficiency increasing rates of 13.7% and 9.17%, respectively, and the unit cost is 81.33% that of the base case. Turbine 1 (TUR1) and main compressor (MCP) are the first and second highest cost rates, respectively, and RET and generator (GEN) account for roughly 34% exergy destruction rate and 20% exergy destruction cost rate, respectively. In addition, reducing heat transfer differences in relevant equipment can further promote system performance.
Design and Implementation of a Floating PV Model to Analyse the Power Generation
Authors: Refaai Mohamad Reda A. , Dhanesh Lavanya , Ganthia Bibhu Prasad , Mohanty Monalisa , Subbiah Ram , Anbese Endalkachew Mergia
Published: May 2022

The floating photovoltaic (FPV) system is a revolutionary power production technology that has gotten a lot of interest because of its many benefits. Aside from generating electricity, the technology can also prevent the evaporation of water. The electrical and mechanical structures of FPV power stations must be studied to develop them. Much research on FPV technologies has already been undertaken, and these systems have been evaluated from many perspectives. Many problems, including environmental degradation and electricity generation, fertile soils, and water management, are currently limiting societal growth. Floating photovoltaic (PV) devices save a great of land and water resources and have a greater energy conversion efficiency than standard ground power systems. A performance investigation of photovoltaic (PV) installations set on a moving platform is carried out. The paper presents and discusses various design alternatives for boosting the profitability and efficiency of floating photovoltaic (FPV) systems. Especially, FPV systems that take advantage of increasing capabilities like monitoring, conditioning, and attention were included. Although researchers have agreed on the benefits of floating systems, there has been little in-depth research on the parameters of floating photovoltaic systems. The results of this research tests were performed, and these reveal that the beneficial monitoring and conditioning impacts result in a significant gain in performance. The effects of using flat reflections on improvements are also investigated. As a result, this research examines the evolution of photovoltaic systems, then investigates the power generation capacity of floating photovoltaic systems, and then examines the benefits and possibilities of floating PV systems in depth. The concept of developing an integrated air storage system using a floating building on waters is discussed.
Women’ Deixis in Trade Interaction of West Sumatra Traditional Market
Authors: Arwemi  , Yazan Sheiful , Kustati Martin , Ritonga Mahyudin , Perrodin David D. , Elismawati  , Hamidi Bahramuddin
Published: May 2022

The Minangkabau language has richness in female deixis, which provides an overview of the value of women’s roles and social position in society. For many people, the fluctuating calls for women in the trade are only mere persuasion from traders to buyers. Meanwhile, from a pragmatic study, this call has deep social meaning. This study was aimed at finding the categories, positions, and social meanings of women based on their deixis in trade interactions in the traditional market of West Sumatra. This research uses a descriptive qualitative approach. Data were collected through in-depth interviews, observations, and documentation. Focus group discussions were used for confirmation and triangulation with 26 informants. From the analysis of all deixis and their meanings, it was found that there were social categories of traders and buyers. The social position of women still dominated both as traders and buyers. There are social meanings of women’s power, respect, and various positive meanings, and almost no negative meanings of women’s deixis in Pasa Bawah. This study concludes that Pasa Bawah is an example of a traditional Minangkabau market that still keeps holding the custom and upholds the dignity of women. There are high positions and strong power of a woman on trader social structure in the traditional market. Each deixis shows the position of women in trade in Pasa Bawah, which indicates a role of power, respectability, and determination, or the role of the ordinary people under the power of others. Sometimes, the wrong use of deixis can have serious consequences.