bluuebunny/crossref_metadata_2025 huggingface dataset:
A national survey of venous sinus stenting practices for idiopathic intracranial hypertension
Authors: Fargen Kyle M , Kittel Carol , Amans Matthew R , Brinjikji Waleed , Hui Ferdinand
Published: April 2022

Background

Little is currently known about physician opinions and preferences on venous sinus stenting (VSS) for idiopathic intracranial hypertension (IIH), practice patterns, or clinical volumes.

Methods

A 19 question online survey was designed and distributed to physician members of the Society of Neurointerventional Surgery (SNIS).

Results

A total of 107 individual survey responses were obtained (14% of SNIS members). The majority of respondents (85%) indicated that they had performed at least one VSS procedure independently during their careers. Mean (SD) and median (range) career case volumes were 20.9 (33.8) and 10.0 (0.0–200.0), respectively. On a 1–10 scale, most respondents reported a high level of interest in treating IIH patients with VSS (median 8), a high level of comfort/expertise in treating IIH patients with VSS (median 9), and that VSS was effective in the long term reduction of symptoms and papilledema in IIH patients (median 8). Fifty-nine per cent of respondents reported increasing VSS volumes compared with previous years. A major complication during a VSS procedure, including two deaths, was reported by 11% of respondents.

Conclusions

This is the first study designed to understand the opinions and practices of neurointerventionists regarding VSS for IIH. Overall physician opinion on VSS was quite positive, supported by increasing procedural volumes reported by most over the past few years. However, only a small percentage of respondents had substantial experience with VSS and major complications were not rare.
Comparative efficacy and safety of oral P2Y12inhibitors after non-ST-elevation acute coronary syndromes: a network meta-analysis
Authors: Farmakis Ioannis T , Zafeiropoulos Stefanos , Doundoulakis Ioannis , Pagiantza Areti , Karagiannidis Efstratios , Moysidis Dimitrios V , Stalikas Nikolaos , Kassimis George , Michalis Lampros K , Karvounis Haralambos , Giannakoulas George
Published: April 2022

Background

Currently, potent P2Y12inhibition with the use of prasugrel or ticagrelor is the mainstay of treatment after an acute coronary syndrome (ACS). The 2020 European Society of Cardiology (ESC) Guidelines recommend the use of prasugrel over ticagrelor in patients with non-ST-elevation ACS (NSTE-ACS) intended to receive invasive management (class IIa recommendation), however there are contradictory views regarding this recommendation.

Aim

To compare oral P2Y12inhibitors in NSTE-ACS in terms of efficacy and safety with a focus on patients intended to proceed to invasive management.

Methods

We systematically searched PubMed, Cochrane Central Register of Controlled Trials and Web of Science to identify studies that compared different oral P2Y12inhibitors (clopidogrel, prasugrel and ticagrelor) in patients with NSTE-ACS. Efficacy outcomes included the major adverse cardiovascular events outcome and safety outcomes included minor and major bleedings. We performed a frequentist network meta-analysis.

Results

Nine studies (n=35 441 patients) were included in the systematic review. There was no difference between prasugrel and ticagrelor in the composite cardiovascular end point (prasugrel vs ticagrelor HR=0.80, 95% CI=0.61 to 1.06) in all patients with NSTE-ACS. In patients intended to receive invasive management, prasugrel resulted in a reduction of the composite cardiovascular end point both versus clopidogrel (HR=0.76, 95% CI=0.61 to 0.95) and ticagrelor (HR=0.74, 95% CI=0.56 to 0.98). Inconsistency was moderate and non-significant (I2=27%, total Q p=0.2). Prasugrel ranked as the most efficient treatment in the composite cardiovascular efficacy outcome, all-cause death, myocardial infarction and definite stent thrombosis, while clopidogrel ranked as safest in the bleeding outcomes.

Conclusion

In patients with NSTE-ACS intended to receive invasive management, an antiplatelet strategy based on prasugrel is more efficient than a similar strategy based on ticagrelor on a moderate level of evidence. This analysis supports the current recommendations by the ESC guidelines.
Considerations on anomalous photon and Z-boson self-couplings from the Born–Infeld weak hypercharge action
Authors: Neves M. J. , Ospedal L. P. R. , Helayël-Neto J. A. , Gaete Patricio
Published: April 2022

We investigate the effects of the Born–Infeld action on the Abelian sector of the electroweak model. The consequence of this approach is the emergence of anomalous couplings in the neutral sector of the Z-gauge boson and photon. These new couplings consist of quartic interactions of the photon with the Z-particle, as for example, three-photon-and-one-Z vertex. With that, we obtain the decay width of $$Z \rightarrow 3\,\gamma $$

Z
→
3

γ

from which we impose a bound on the Born–Infeld parameter. Other bounds are also obtained from the photon quartic couplings. Subsequently, we consider the presence of an external uniform magnetic field in connection with this Born–Infeld weak hypercharge model. The magnetic background field yields new kinematic effects, like the kinetic mixing between the photon and the Z-boson, and we obtain thereby the corresponding dispersion relations for the mixed photon-Z-particle system. Finally, we calculate the lowest-order modifications to the interaction energy for the anomalous coupling $$3\gamma -Z$$

3
γ
-
Z

, within the framework of the gauge-invariant but path-dependent variables formalism. Our results show that the interaction energy contains a linear term leading to the confinement of static probe charges. With the help of the potential that comes out, interparticle forces are estimated.
Composition and technological features of ceramics manufactured by Benito de Valladares in the seventeenth century from the Alcazar Palace in Seville, Spain
Authors: Perez-Rodriguez J. L. , Robador M. D. , Duran A.
Published: April 2022

The walls of the Alcazar Palace in Seville have been covered with ceramic tiles of different styles that were manufactured with different techniques. Several studies have been carried out on these ceramics, but no interest has been paid to the tiles manufactured by the workshop of the Valladares family, one of the most productive ceramic workshops in Triana (Seville). In this work, tiles that were made in the Valladares workshop are studied for the first time. The tiles from the Cenador del Leon built in 1645–1646 were chosen. The experimental studies suggest that the ceramic body was manufactured with silico-calcareous clay. This raw material was heated to a temperature of ca. 900 °C. A nondestructive and on-site analytical procedure was applied first. Microsamples were also taken and studied through microanalytical techniques. The maiolica style was used by Benito de Valladares for tile manufacture. The glaze phases were constituted by two layers. The pigments and doping elements used to obtain different colors were characterized. Valladares’ work is considered as a continuation of Augusta's work; therefore, a comparison between both ceramists has been realized to better understand the ceramics production in southern Spain during the sixteenth to seventeenth centuries.
Finite Element Analysis for Safe Design of a Flexible Microelectronic System under Bending Deformation
Authors: Kim Cha-Hee , Yun Hyeonji , Seo Seung-Ho , Kim Byoung-Joon , Lee Jae-Hak , Song Jun-Yeob , Lee Won-Jun
Published: April 2022

We modeled flexible microelectronic systems and analyzed the stress and strain distribution assuming an international standard bending test evaluating flexible electronics. The flexible microelectronic system consisted of a flexible substrate, a thin silicon die bonded to the substrate using bumps, along with an underfill and molding layer. The highest stress values were found at the square silicon die corners under bending deformation. After rounding the die corners, the copper bumps were the weakest component in the system. When polymer bumps replaced copper bumps to improve the mechanical stability, the critical bending radius reduced from 13.5 mm to 8.0 mm, and the silicon die was again the most vulnerable component. When the die thickness decreased from 50 to 30 μm, the critical bending radius of the flexible system even decreased to 6.9 mm. Therefore, it is advantageous for mechanically reliable flexible microelectronic systems to bond thin silicon dies with rounded corners to a flexible substrate using polymer bumps.
Silver-Doped Citrus Pectin Resistive Random Access Memory with Multilevel Characteristics
Authors: Yang Chih-Chiang , Tsai Yun-Ting , Hsu Hao-Lin , Chang Sheng-Po , Su Yan-Kuin
Published: April 2022

Electronics based on natural materials have the advantages of simple preparation procedures, low cost, ecofriendliness, and biocompatibility. In this work, the Synthesis of silver doped citrus pectin by using the solution method at 2 mg ml−1 of citrus pectin, Its simple fabrication method ensures the uniform distribution of Ag in citrus pectin thin film. a RRAM device with the Al/Ag-doped citrus pectin/ITO/glass structure was fabricated through the spin-coating method. The results indicated that the best set and reset voltages of the Ag 10%-doped device were 1 and −1.2 V, respectively. The Ag 10%-doped device could switch 517 times with an on/off ratio of 2 × 103 and could be maintained for more than 104 s, indicating excellent stability and reliability. Furthermore, the characteristics of the multilevel storage of the Ag-doped citrus pectin device were investigated. By adjusting different compliance currents, four different resistive states could be formed in a single device with high stability and reliability. In other words, the device could store two bits in a single cell.
Intelligent Writing System for Patients with Upper Limb Disabilities
Authors: Hnatiuc Mihaela , Alpetri Domnica , Arif Muhamad , Vicoveanu Dragos , Chiuchisan Iuliana , Geman Oana
Published: April 2022

Subjects with neurological problems and neurological disorders can be recovered in the dedicated recovery centers and at home. The paper presents a smart writing system that uses dedicated movements to recover specific problems of the hands. The system is based on a smart pen equipped with vibration, acceleration, and gyroscope sensors that give remote data to a computer via an ESP Arduino board via Bluetooth. The purpose of the system design is to serve in applications such as recognizing the writing, drawings, or emotional and physiological states of the writer. The data is preprocessed by extracting the characteristics. They will be used in a prediction and classification system using machine learning (ML) algorithms. The paper proposes a new method of using the dynamic processing of certain geometric shapes that are recognized and analyzed to diagnose the mobility of the subjects’ hands. Using methods of clustering data as K-means and classification as support vector machine (SVM), the results obtained from the data analysis using the TensorFlow platform have an accuracy of over 70%. Due to the adaptation algorithms used, the system can be customized, learning the hand movement of the subject.
The Dissemination Mode of External Intelligence of Archery Culture Based on the Particle Swarm Algorithm
Authors: Xue Yu
Published: April 2022

To study the archery culture based on the particle swarm algorithm, the dissemination mode of external intelligence is differentiated. Firstly, the algorithm based on a particle swarm is introduced, and the external intelligence dissemination mode is distributed. Then, taking the spread of archery as the research object, mainly using questionnaires and other methods, from the perspectives of intelligent differentiation, organizational communication, and mass communication, we investigated and analyzed the dissemination activities of archery. Finally, the relevant countermeasures to promote the spread and development of archery are summarized and put forward. The experimental results show the following: the process of interpersonal communication of archery has the characteristics of many channels of information transmission, flexible methods, and strong interaction; the leadership of elite archers and the interpersonal communication of archery played a good role in promoting. Dissemination of external intelligence and mass dissemination, in the process of human-to-human communication of archery, have the same significance.
Chronic Pain: Among Tertiary Care Psychiatric Out-Patients in Singapore—Prevalence and Associations with Psychiatric Disorders
Authors: Satghare Pratika , Abdin Edimansyah Bin , Hombali Aditi , Lin Teh Wen , Samari Ellaisha , Chua Boon Yiang , Verma Swapna , Mok Yee Ming , Chong Siow Ann , Subramaniam Mythily
Published: April 2022

Objective. The study aimed to determine the prevalence and severity of chronic pain and its associations amongst psychiatric out-patients in a tertiary care hospital in Singapore. Methodology. The cross-sectional study was conducted among 290 psychiatric out-patients aged 21–65 years. Sociodemographic and clinical information, as well as data from Brief Pain Inventory-Short Form (BPI-sf), Beck’s Depression Inventory II (BDI-II), and Beck’s Anxiety Inventory (BAI) were collected. Cut points (C.P.s) dividing the sample into mild, moderate, and severe groups were created for the ratings of average pain. Eight possible cut-off values for the C.P.s between 3 and 7, representing 8 different categorical variables, were created and their relationships were examined with BPI’s set of seven interference items using multivariate analysis of variance. Sociodemographic and clinical correlates of chronic pain were determined using multinomial logistic regression analysis. Analysis of covariance was used to determine the association of BPI with continuous scores of BAI and BDI. Results. Based on the C.P. pain severity classification, 38.5% of the sample had mild pain, 22.9% had moderate pain, and 11.8% had severe pain. Patients with severe pain were more likely to be associated with older age (p≤0.006) (versus young age), less likely to be married (p≤0.025) (versus single), and more likely to have high risk for obesity (p≤0.030) (versus low risk for obesity). Participants with mild pain were seen to be significantly associated with older age (p≤0.021), whereas moderate pain (p≤0.002) and severe pain (p≤0.001) (versus no pain) were seen to be significantly associated with higher BAI scores. Conclusion. The current study observed high prevalence of pain among patients with psychiatric illness that was determined by optimal C.P.s for mild, moderate, and severe pain. Patients diagnosed with anxiety disorders and those with higher BMI were seen to be associated with pain of moderate to severe intensity. Improving the knowledge of correlates and co-morbidities of physical pain would aid in early identification, use of prophylactic strategies, and the intervention techniques to formulate basic guidelines for pain management among psychiatric population.
Research on Effective Strategies of College Physical Education Interactive Teaching Based on Machine Learning
Authors: Zhang Zhe , Zhang Yinghui
Published: April 2022

To master physical education courses, you must master a complete set of skills and knowledge. Most teachers still adopt traditional teaching forms, teacher centered, which has a negative impact on students. Because learners only passively participate in activities, it reduces students’ enthusiasm and focus to master skills. This study is aimed at comparing and contrasting the differences between modern interactive learning and traditional teaching strategies. We collect qualitative and quantitative results about the impact of these studies on students’ communication skills and understanding of relevant topics. The form of the noninteractive learning strategies explored in this study is the teaching system. This is a commonly used method and is still used in some institutions. Its limitations have led to the modernization of the education sector, especially in sports. This modernization brings about other forms of physical education, being student centered and more interactive. This form of interaction promotes the connection between teachers and students and promotes the transmission of feedback and the continuous improvement and novelty of activity forms. The interactive approach used in this study is the brainstorming method. Research has found it to generate constructive ideas and ideas. The specific process includes case study and Q & A, which is intuitive and clear, and can enhance the comprehensive understanding of the theme. The modernization of physical education curriculum brings many benefits; some of which will be listed in this paper. This study is aimed at promoting more display of students’ personality in modern physical education teaching with clear research conclusions. Let the students in the training interact with teachers and interact with the group, in the interaction to play their own greater initiative, enthusiasm. Let the relationship between students and teachers be more harmonious, and let the students’ physical quality get better development.
Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
Authors: Elmoiz Alatabani Lina , Sayed Ali Elmustafa , Mokhtar Rania A. , Saeed Rashid A. , Alhumyani Hesham , Kamrul Hasan Mohammad
Published: April 2022

Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV has been associated with the IoT revolution and has become an active field of research due to the great need, in addition to the increase in the various applications of vehicle communication. AI provides unique solutions to enhance the quality of services (QoS) and performance of IoV systems as well. In this paper, some concepts related to deep learning networks will be discussed as one of the uses of machine learning in IoV systems, in addition to studying the effect of neural networks (NNs) and their types, as well as deep learning mechanisms that help in processing large amounts of unclassified data. Moreover, this paper briefly discusses the classification and clustering approaches in predicative analysis and reviews their abilities to enhance the performance of IoV application systems.
Effect of Marine Red Yeast Rhodosporidium paludigenum on Diarrhea Rate, Serum Antioxidant Competence, Intestinal Immune Capacity, and Microflora Structure in Early‐Weaned Lambs
Authors: Liu Mengjian , Liu Wujun , Zhang Wenju , Niu Junli , Yao Jun
Published: April 2022

In this study, the influences of marine red yeast Rhodosporidium paludigenum (MRYP) on diarrhea rate, serum antioxidant capacity, intestinal immunity capacity, and microflora structure of early‐weaned lamb were investigated in a 60‐day feeding trial. A total of 96 early‐weaned lambs were utilized in this study. The lambs were divided into four experimental groups based on the percentage of marine red yeast Rhodosporidium paludigenum (MRYP) as milk replacer supplement. The rates of milk replacer supplement for the four groups were 0, 0.1%, 0.3%, and 0.5% of marine red yeast Rhodosporidium paludigenum (MRYP), respectively. The study was continued for 30 days. The results showed that (1) compared with control group, 0.5% marine red yeast Rhodosporidium paludigenum (MRYP) supplementation caused significantly decreases in average fecal score and diarrhea frequency by 33.74% and 40.23% (P < 0.05). (2) No significant difference was found in all tested related antioxidant indexes in serum of four treatments (P > 0.05). (3) The concentrations of SIgA, IgG, and IL‐10 of group IV was significantly increased by 17.78%, 18.27%, and 8.17%, but the IL‐6 and TNF‐α were significantly decreased by 21.20% and 31.80%, compared to group I in the colon (P < 0.05). (4) The number of Bifidobacterial and Lactobacilli of group IV was significantly increased by 14.87% and 15.09%, but Escherichia coli and Salmonella were significantly decreased by 20.19% and 10.15%, compared to group I in the colon (P < 0.05). (5) A portion of marine red yeast Rhodosporidium paludigenum (MRYP) survived in the intestine of early‐weaned lamb, and the number of survival marine red yeast Rhodosporidium paludigenum (MRYP) increased as the addition of marine red yeast Rhodosporidium paludigenum (MRYP) increased from 0.1 to 0.5% in milk replacer. Therefore, marine red yeast Rhodosporidium paludigenum (MRYP) has a potential to be a replacer of antibiotics for prevention and treatment of diarrhea in early‐weaned lambs.
Removal of the Hazardous Congo Red Dye through Degradation under Visible Light Photocatalyzed by C,N Co-Doped TiO2 Prepared from Chicken Egg White
Authors: Aprilita Nurul H. , Amalia Della , Wahyuni Endang T.
Published: April 2022

The C,N co-doped TiO2 photocatalyst was prepared by interacting the chicken egg white having various weights (1, 2, and 4 g) with 1 g of TiO2 in an autoclave through the hydrothermal process at 150°C. The C,N co-doped TiO2 photocatalysts were characterized using Fourier transform infrared (FTIR), X-ray diffraction (XRD), specular reflectance UV/visible (SRUV/Vis), and transmission electron microscope (TEM) instruments. The photocatalytic activity of the co-doped TiO2 was evaluated by monitoring the photo-decolorization of Congo red dye under visible light through a batch experiment. The characterization results assigned that the C and N atoms from the chicken egg white have been successfully co-doped into TiO2 through interstitial and substitutional combination, which could notably narrow their band gap energy entering into the visible region. In line with the gap narrowing, the co-doping C,N into TiO2 could remarkably improve the photocatalytic activity under visible light in the dye photo-decolorization. The enhancement of the photocatalyst activity of TiO2-C,N was controlled by the weight of the egg white introduced, and 2 g of the egg white resulted in the highest activity. Further, the best dye photo-decolorization, which was about 98%, of 10 mg/L Congo red dye in 100 mL of the solution under visible irradiation could be reached by applying TiO2-C,N prepared from 2 g of the egg white, within 45 min, at pH 7, and 50 mg of the photocatalyst mass.
Splenogonadal Fusion: A Rare Mimicker of Malignancy
Authors: Hartman Natalie C. , Trabzonlu Levent , Barkan Güliz A. , Quek Marcus L.
Published: April 2022

Splenogonadal fusion is a rare congenital anomaly in which ectopic splenic tissue is found in the testis and can present as a testicular mass mimicking a testicular malignancy. We present a 27-year-old male who presented with a palpable left testis mass suspicious for malignancy and ultimately found to have discontinuous splenogonadal fusion after radical orchiectomy.
[Retracted] Detection and Classification of Colorectal Polyp Using Deep Learning
Authors: Tanwar Sushama , Vijayalakshmi S. , Sabharwal Munish , Kaur Manjit , AlZubi Ahmad Ali , Lee Heung-No
Published: April 2022

Colorectal Cancer (CRC) is the third most dangerous cancer in the world and also increasing day by day. So, timely and accurate diagnosis is required to save the life of patients. Cancer grows from polyps which can be either cancerous or noncancerous. So, if the cancerous polyps are detected accurately and removed on time, then the dangerous consequences of cancer can be reduced to a large extent. The colonoscopy is used to detect the presence of colorectal polyps. However, manual examinations performed by experts are prone to various errors. Therefore, some researchers have utilized machine and deep learning‐based models to automate the diagnosis process. However, existing models suffer from overfitting and gradient vanishing problems. To overcome these problems, a convolutional neural network‐ (CNN‐) based deep learning model is proposed. Initially, guided image filter and dynamic histogram equalization approaches are used to filter and enhance the colonoscopy images. Thereafter, Single Shot MultiBox Detector (SSD) is used to efficiently detect and classify colorectal polyps from colonoscopy images. Finally, fully connected layers with dropouts are used to classify the polyp classes. Extensive experimental results on benchmark dataset show that the proposed model achieves significantly better results than the competitive models. The proposed model can detect and classify colorectal polyps from the colonoscopy images with 92% accuracy.
Optimization of Dual-Mass Flywheel Parameters Based on a Multicondition Simulation Test
Authors: Xie Maoqing , Wang Shangrui , Yan Zhengfeng , Wang Leigang , Tan Guanhua
Published: April 2022

A dual-mass flywheel is an important part of an automobile transmission system whose function is to ensure the smooth transmission of engine power to a gearbox. Vehicle vibration and noise are major indicators of vehicle comfort, while dual-mass flywheel technology can preferably solve the comfort problem. Based on the created torsional vibration model, this paper describes the testing of the torsional characteristics under various conditions with an LMS AMESim simulation. The results show that the noise in the cab is fundamentally below 60 dB. The computational formula for the angular stiffness of an arc coil spring is derived, and then the spring angular stiffness is optimized with arithmetic averaging, which reveals an adjusted angular stiffness of 12.8 Nm/°. Additionally, the requirement for the angular acceleration of the WOT input shaft (i.e., being less than 500 rad/s2) is satisfied for various gears. The test results show that the double-mass flywheel can attain a vibration isolation efficiency of around 85%, which more effectively reduces the transmission vibration and noise and improves the vehicle comfort.
Global Prevalence of Fuchs Endothelial Corneal Dystrophy (FECD) in Adult Population: A Systematic Review and Meta-Analysis
Authors: Aiello Francesco , Gallo Afflitto Gabriele , Ceccarelli Francesca , Cesareo Massimo , Nucci Carlo
Published: April 2022

Purpose. To evaluate the global prevalence of Fuchs endothelial corneal dystrophy (FECD). Design. Systematic review and meta-analysis. Methods. A systematic electronic literature search was conducted on PubMed/MedLine, Cochrane Library, and Google Scholar, in order to select papers analysing the prevalence rate of FECD. Two authors independently conducted the electronic search. After removal of duplicates, title and abstract screening, and full-text analysis, data from selected articles were archived in a customized Excel spreadsheet. Risk of bias assessment was performed using the Joanna Briggs Institute Prevalence Critical Appraisal Tool. Meta-analysis was conducted using R (version 1.4.1106, package “meta”). Results. A total of 6660 eligible articles were retrieved from the initial electronic search. Only 4 original works were included in the qualitative and quantitative analysis. Of the 4746 patients included in this meta-analysis (i.e., 2232 male (M) and 2322 female (F)), we retrieved 269 FECD cases (81 M; 188 F), with a pooled prevalence estimates of 7.33% (95% CI: 4.08–12.8%). Statistically significant gender-related differences in the prevalence of FECD emerged by the analysis (OR: 2.22; 95% CI: 1.66–2.96,

p
=
0.0016

). While the total number of people aged >30 years with FECD is nowadays estimated at nearly 300 million, an increase of 41.7% in the number of FECD-affected patients is expected by 2050, when the overall figure is supposed to rise up to 415 million. Conclusion. This study provides a reliable figure of the present and future epidemiological burden of FECD globally, which might be useful for the design of FECD screening, treatment, rehabilitation, and related public health strategies.
Cognitive Dysfunction following Cerebellar Stroke: Insights Gained from Neuropsychological and Neuroimaging Research
Authors: Liu Qi , Liu Chang , Chen Yu , Zhang Yumei
Published: April 2022

Although the cerebellum has been consistently noted in the process of cognition, the pathophysiology of this link is still under exploration. Cerebellar stroke, in which the lesions are focal and limited, provides an appropriate clinical model disease for studying the role of the cerebellum in the cognitive process. This review article targeting the cerebellar stroke population (1) describes a cognitive impairment profile, (2) identifies the cerebellar structural alterations linked to cognition, and (3) reveals possible mechanisms of cerebellar cognition using functional neuroimaging. The data indicates the disruption of the cerebro-cerebellar loop in cerebellar stroke and its contribution to cognitive dysfunctions. And the characteristic of cognitive deficits are mild, span a broad spectrum, dominated by executive impairment. The consideration of these findings could contribute to deeper and more sophisticated insights into the cognitive function of the cerebellum and might provide a novel approach to cognitive rehabilitation. The goal of this review is to spread awareness of cognitive impairments in cerebellar disorders.
A Take-Over Performance Evaluation Model for Automated Vehicles from Automated to Manual Driving
Authors: Yan Lixin , Chen Jiayu , Wen Chengyue , Wan Ping , Peng Liqun , Yu Xujin
Published: April 2022

The evaluation of take-over performance and take-over safety performance is critical to improving the take-over performance of conditionally automated driving, and few studies have attempted to evaluate take-over safety performance. This study applied a binary logistic model to construct a take-over safety performance evaluation model. A take-over driving simulator was established, and a take-over simulation experiment was carried out. In the experiment, data were collected from 15 participants who took over the vehicle and performed emergency evasive maneuvers while performing non-driving-related task (NDRT). Then, to calibrate the abnormal trajectory, the Kalman filter is adopted to filter the disturbed vehicle positioning data and the belief rule-based (BRB) method is proposed to warn irregular driving behavior. The results revealed that the accident rate of male participants is higher than that of female participants in the three frequency take-over experiment, and the overall driving performance of female participants is higher than that of male participants. Meanwhile, medium and high take-over frequencies have a significant effect on the prevention of vehicle collisions. In the take-over safety performance evaluation model, the minimum time to collision (TTC) of 2.3 s is taken as the boundary between the dangerous group and the safety group, and the model prediction accuracy rate is 87.7%. In sum, this study enriches existing research on the safety performance evaluation of conditionally automated driving take-over and provides important implications for the design of driving simulators and the performance and safety evaluation of human-machine take-over.
HS-GC-IMS and ATR-FT-MIR Analysis Reveal the Differences in Volatile Compounds, Proteins, and Polyphenols of Royal Jelly
Authors: Chen Di , Lu Wenjing , Ye Qin , Zhang Cen , Ge Xiao , Xiao Chaogeng
Published: April 2022

Royal jelly (RJ) produced by honeybees (Apis mellifera) is a traditional functional food and usually suffers adverse impacts from heat exposure during collection and transportation. Based on the gas chromatography, the change to volatile compounds in RJ was screened by ion mobility spectrometry. Chemical characteristics were analyzed by infrared spectroscopy combined with a diamond ATR. The results showed that the flavor can be distinguished using HS-GC-IMS based on principal component analysis and 26 compounds, including esters, aldehydes, and ketone, were identified as the differential volatile compounds in RJ. Spectroscopy results suggested that the specific bands were related to the proteins and polyphenols, which were verified by electrophoresis and the Folin–Ciocalteu method. Water-soluble proteins were decreased by 13.11%, and polyphenols contents were decreased by 25.72% compared with the control. Thus, the combination of ATR-FT-MIR and volatile compound analysis can help to identify the quality of RJ quickly and sensitively from the aspect of flavor and chemical characteristics. Our study gives a meaningful suggestion for the analytic strategy of RJ quality.
College Calisthenics Teaching Based on Information Technology
Authors: Wang Bolong
Published: April 2022

Under the background of national fitness, aerobics has become a popular sport. Aerobics has a good fitness effect and is one of the compulsory courses of physical education. But it also puts forward higher requirements for College Aerobics Teaching. The traditional teaching method is no longer applicable. In order to improve the teaching effect of aerobics, this paper puts forward the research of College Aerobics Teaching Method. In this paper, the traditional Aerobics Teaching Methods and the current popular information teaching mode are analyzed in detail. Through the comparison, the traditional aerobics teaching process is too boring to stimulate students’ interest. But after the use of information technology teaching, students’ self-learning ability has been improved. In the study of the effect of traditional teaching mode and information-based teaching mode, this paper makes relevant experimental investigation. The physical fitness of the experimental group was

P
>
0.05

. There were significant differences in basic physical qualities such as push-ups, rope skipping, and flexibility between the two groups (

P
<
0.05

).The experimental data show that the use of information-based teaching mode is more conducive to students’ accurate grasp of action points, and because of the retrospectivity, students can consolidate knowledge and practice themselves more conveniently. The research of this paper promotes the innovation of traditional education, complements and promotes each other with traditional education, and creates greater learning and exploration space for students, in order to contribute to the construction of aerobics courses in colleges and universities.
Deepfake Video Detection Based on EfficientNet-V2 Network
Authors: Deng Liwei , Suo Hongfei , Li Dongjie
Published: April 2022

As technology advances and society evolves, deep learning is becoming easier to operate. Many unscrupulous people are using deep learning technology to create fake pictures and fake videos that seriously endanger the stability of the country and society. Examples include faking politicians to make inappropriate statements, using face-swapping technology to spread false information, and creating fake videos to obtain money. In view of this social problem, based on the original fake face detection system, this paper proposes using a new network of EfficientNet-V2 to distinguish the authenticity of pictures and videos. Moreover, our method was used to deal with two current mainstream large-scale fake face datasets, and EfficientNet-V2 highlighted the superior performance of the new network by comparing the existing detection network with the actual training and testing results. Finally, based on improving the accuracy of the detection system in distinguishing real and fake faces, the actual pictures and videos are detected, and an excellent visualization effect is achieved.
IntelliPortfolio: Intelligent Portfolio for Enhanced Index Tracking Using Clustering and LSTM
Authors: Yi Kan , Yang Jin , Wang Shuangling , Zhang Zhengtong , Zhang Jing , Song Jinqiu , Ren Xiao
Published: April 2022

Enhanced index tracking (EIT) is an active research area in portfolio management that focuses on adding reliable value relative to the index on the basis of mimicking the behavior of the benchmark index. To solve the EIT problem, many approaches have been proposed. However, it still remains a critical challenge to efficiently generate a portfolio with good quality. In this study, we propose a learning-based approach named IntelliPortfolio for the EIT problem. IntelliPortfolio uses PCA and clustering to select stock and estimates the investment weight for each constituent stock using a long short-term memory (LSTM) network. Two advantages of the proposed algorithm are as follows. (1) It considers both the fundamentals and the price information for stocks and can balance the trade-off between the performance and the diversity of the selected stocks. (2) It uses a LSTM model to estimate investment weights, which is more capable to handle long sequences of input and is more robust to predict the future trend of stock market. Experimental results on the five real-world datasets of the international stock market illustrate the significant performance superiority of the proposed approach in comparison with five state-of-the-art algorithms.
Prediction of Purchase Volume of Cross-Border e-Commerce Platform Based on BP Neural Network
Authors: Zhang Xiang
Published: April 2022

As a new form of foreign trade, cross-border e-commerce has huge development potential. Although the development prospect of cross-border e-commerce is good, the management of global supply chain is very important in order to gain a place in the fierce competition and develop steadily. The traditional forecasting of purchasing volume adopts time series, and the forecasting model is relatively simple. The purchase volume of the platform is related to the various consumption behaviors of consumers, such as the number of product reviews, the number of product collections, and whether there are tax subsidies. The sales volume in the next few days is predicted by the item number, time, and sales quantity. The four-layer BP neural network model is used, and the MATLAB neural network toolbox is used to draw the training error curve and the correlation coefficient curve. After network training, the training correlation coefficient R reaches 95.823%, and the prediction accuracy obtained at this time is higher. Further, using the established model based on BP algorithm, the traditional BP algorithm is optimized to obtain the purchase quantity of commodities. The method is applied to the forecast of commodity purchase volume of a cross-border e-commerce platform, and the results show that the average error rate of this method is 5.9%, which has high practical application value. The research results show that this paper considers multiple influencing factors and selects an appropriate forecasting method, which can effectively improve the accuracy of the company’s commodity sales forecast, so as to better formulate procurement plans and optimize inventory structure, which has certain implications for the actual operation of cross-border e-commerce platforms.
Research on Interbank Offered Rate Based on Embedded Wireless Communication
Authors: Lei Yaming
Published: April 2022

With the Wi-Fi (Wireless Fidelity) standard and the increase of wireless access points, wireless data communication based on 802.11 has become increasingly popular. Interest rate risk is a kind of financial risk. In essence, interest rate risk is caused by changes in the price or income of financial products caused by changes in interest rates. As the hot spot of the wireless network, the self-organizing network will inevitably become a development trend to realize voice communication on its market-oriented core interest rate; the ARIMA model is further proposed to improve the prediction accuracy and better fit the daily fluctuation of the Shibor overnight. The monthly average value of Shibor is predicted overnight, and monthly mean prediction of Shibor is overnight. Finally, the overnight Shibor decision-making system is established, and the forecasting model is integrated to guide the participants in the money market.
Preventive Effect Observation of Dapagliflozin on Middle and Later Ventricular Remodeling in Patients with Acute ST Segment Elevation Anterior Wall Myocardial Infarction: A Single-Center, Retrospective Cohort Study
Authors: Liu Zeyan , Liu Lijun , Zhang Hao , Jiang Yang , Wang Hengtong
Published: April 2022

Objective: This study aimed to observe the effect of dapagliflozin on left ventricular ejection function (LVEF) and left ventricular end-diastolic volume (LVEDV) in patients with acute anesthesia ST segment elevation myocardial infarction (ASTEMI) and explore the effect of prophylactic treatment on ventricular remodeling (VR). Methods. A retrospective cohort design was employed to collect 188 patients with anterior wall STEMI who received emergency percutaneous coronary intervention (PCI). The patients were divided into dapagliflozin group and control group. The baseline data, the results of echocardiography at 6 months and on admission, and the proportion of VR were compared between the two groups. Echocardiography followed up for the two groups for 6 months after PCI and VR (LVEDV increased ≥20%) were considered the main clinical outcomes. Single-factor and multifactor logistic regression was conducted to explore the preventive effect of dapagliflozin on VR in patients with anterior wall STEMI. Results. There were significant differences in gender, history of diabetes, glycosylated hemoglobin (Hb1AC), admission LVEF, Killip grade of heart failure, and brain natriuretic peptide (BNP) between the dapagliflozin group and the control group regarding the baseline data. Compared with the results of echocardiography at admission and 6 months, the decrease in LVEDV and the increase of LVEF at 6 months in the dapagliflozin group were significantly higher than those in the control group. During the follow-up of 6 months, the VR rate in the dapagliflozin group was significantly lower than that in the control group. Multifactor logistic regression analysis suggested that the risk of VR was reduced by taking dapagliflozin after the adjustment of the confounding factors. Additionally, the combined use of dapagliflozin, ACEI/ARB, and β-block can further reduce the risk. Conclusion. Regular taking of dapagliflozin has a positive effect on the improvement of middle and LVEF and left ventricular volume enlargement in patients with anterior wall STEMI, as well as the prevention of the occurrence of VR.
Smart Tourism Recommendation Method in Southeast Asia under Big Data and Artificial Intelligence Algorithms
Authors: Ho Ping-Tsan
Published: April 2022

Smart tourism recommendation refers to supplementing suggestions for tourists’ self-service sightseeing plans based on Internet technology, and recommending more effective and practical tourism information. This paper uses big data and artificial intelligence algorithms to study the smart tourism recommendation method in Southeast Asia. First of all, this paper gives a brief overview of the definition and classification of big data and artificial intelligence algorithms and then introduces tourism resources and smart tourism in Southeast Asia. Finally, this paper conducts a comparative experiment between the smart tourism development model based on big data and artificial intelligence algorithms and the traditional tourism development model and analyzes the utility of the development model from three aspects, namely, tourists’ sense of experience and satisfaction, the scale of tourism transactions and the growth rate of tourism revenue, and the adequacy and harmony of tourism resource allocation. The final experimental results show that the overall average value of tourists’ experience and satisfaction under the smart tourism recommendation mode based on big data and artificial intelligence algorithms is 88.84 points, which is 7.30 points higher than the traditional tourism mode, which verifies its effectiveness.
Efficacy of Hexanal Field Spray on the Postharvest Life and Quality of Papaya Fruit (Carica papaya L.) in Kenya
Authors: Hutchinson Margaret J. , Ouko John R. , Yumbya Peninah M. , Ambuko Jane L. , Owino Willis O. , Subramanian Jayasankar
Published: April 2022

Papaya is a thin-skinned fruit that ripens and softens over a very short time, usually in 3 days, predisposing the fruit to physical damage and phyto-pathogen invasion even with careful handling further shortening postharvest shelf life. The objective of this study was to determine the efficacy of Hexanal, naturally occurring compound, on-farm spray, in managing the postharvest shelf life of papaya in two agro-ecological zones in Kenya. A formulation of Hexanal containing Tween 20 and ethanol was made by volume basis (v/v) and spray treatment at 1 and 2% in “Solo sunrise” and “Mountain” papaya cultivars. The experiment was a randomized block design with ninety-six plants per farm randomly selected. Spraying was applied at 30 days, 30 + 15 days, and 15 days to harvest time on mature green papaya. Control papaya fruits were sprayed with clean tap water as control. Data were collected on color changes and fruit retention on tree. The fruits were harvested when two to three yellow stripes were visible from the lower end of the fruits for postharvest analysis. Hexanal sprayed papaya fruits were retained for at least 13 days longer compared to the control fruits on tree. Hexanal treatment at 2% revealed an improved effect on managing papaya postharvest shelf life. All fruits treated with Hexanal significantly showed reduced rate of color break, softening, and enhanced extension of fruit shelf life by at least 6 days. Hexanal treatment also delayed ethylene and respiratory peaks by three days and showed no significant (

P
≤
0.05

) difference in the levels of total titratable acidity and total soluble solids. The results of this study indicate that Hexanal applied as a preharvest spray on mature green “Solo sunrise” and “Mountain” papaya cultivars grown in Kenya, is effective in prolonging shelf life and postharvest quality.
Effects of Torreya grandis Kernel Oil on Lipid Metabolism and Intestinal Flora in C57BL/6J Mice
Authors: Xiao Minghui , Huang Minjie , Huan Weiwei , Dong Jie , Xiao Jianbo , Wu Jiasheng , Wang Deqian , Song Lili
Published: April 2022

Background. Recent experimental studies have shown that vegetable oil supplementation ameliorates high-fat diet- (HFD-) induced hyperlipidemia and oxidative stress in mice via modulating hepatic lipid metabolism and the composition of the gut microbiota. The aim of this study was to investigate the efficacy of the Torreya grandis kernel oil (TKO) rich in unpolysaturated fatty acid against hyperlipidemia and gain a deep insight into its potential mechanisms. Methods. Normal mice were randomly divided into three groups: ND (normal diet), LO (normal diet supplement with 4% TKO), and HO (normal diet supplement with 8% TKO). Hyperlipidemia mice were randomly divided into two groups: HFN (normal diet) and HFO (normal diet supplement with 8% TKO). Blood biochemistry and histomorphology were observed; liver RNA-seq, metabolomics, and gut 16S rRNA were analyzed. Results. Continuous supplementation of TKO in normal mice significantly ameliorated serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and free fatty acid (FFA) accumulation, decreased blood glucose and malondialdehyde (MDA), and enhanced superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) levels. According to GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, most differentially expressed genes (DEGs) were significantly enriched in the biosynthesis of unsaturated fatty acid pathways, and significantly changed metabolites (SCMs) might be involved in the metabolism of lipids. High-dose TKO improved gut alpha diversity and beta diversity showing that the microbial community compositions of the five groups were different. Conclusion. Supplementation of TKO functions in the prevention of hyperlipidemia via regulating hepatic lipid metabolism and enhancing microbiota richness in normal mice. Our study is the first to reveal the mechanism of TKO regulating blood lipid levels by using multiomics and promote further studies on TKO for their biological activity.