bluuebunny/crossref_metadata_2025 huggingface dataset:
Childhood strokes in China describing clinical characteristics, risk factors and performance indicators: a case-series study
Authors: Deng Yaxian , Liu Gaifen , Zhang Guitao , Xu Juanyu , Yao Chunmei , Wang Lei , Zhao Chengsong , Wang Yongjun
Published: December 2021

Aim

To investigate clinical characteristics, risk factors (RFs), neurologic deficits and medical care provided in children who had a stroke in China.

Methods

We conducted a retrospective case-series study using the medical records of children aged 1 month to 18 years with arterial ischaemic stroke (AIS) or haemorrhagic stroke (HS) (with the entry codes I60, I61, I62, I63 (ICD-10)), who were admitted to different hospitals in Beijing, between January 2018 and December 2018. We obtained the following information from the charts: demographic characteristics, clinical presentations, RFs for paediatric stroke, laboratory examination, neuroimaging records and neurologic sequelae.

Results

We identified 312 first admissions for stroke (172 AIS and 140 HS). The mean age at onset was 8.6±3.9 years for patients who had an AIS and 8 (5–13) years for patients who had an HS. There were more males than females in both groups (AIS: 59.88% vs 40.12%; HS: 52.14% vs 47.86%). A known aetiology was identified in 92.44% and 86.43% of patients who had an AIS and HS, respectively. The leading cause of AIS was cerebrovascular diseases including moyamoya (68.6%), while that for HS was arteriovenous malformation (51.43%). The most common initial clinical presentation was hemiplegia (86.05%) in patients who had an AIS and headache (67.86%) in patients who had an HS. The use of healthcare, including acute treatment (antithrombotic in 17.44%, anticoagulant in 5.23%) and secondary prevention (antithrombotic in 6.39%, anticoagulant in 1.16%), varied and was significantly lower among patients who had an AIS. The most common complications were epilepsy (22.09%) and pneumonia (4.65%) in patients who had an AIS and epilepsy (17.14%) and hydrocephalus (12.14%) in patients who had an HS. Neurological deficits occurred in 62.8% of patients who had an AIS and 72.86% of patients who had an HS.

Conclusion

Cerebral arteriopathy was a major RF for both AIS and HS in children living in China. Large epidemiological studies are required to identify RFs to prevent stroke as well as appropriate interventions.
Diverse and changing use of the Salish Sea by Pacific salmon, trout, and char
Authors: Quinn Thomas P. , Losee James P.
Published: December 2021

Each year, juveniles of eight salmonid species enter the Salish Sea — the inland marine waters between northwestern Washington, USA, and British Columbia, Canada. These species vary in the proportions remaining there and migrating to feed in the Pacific Ocean. Such differential migration affects their growth rates and exposure to habitat alteration, predators, fisheries, and contaminants. We review these diverse migration patterns and present data from Puget Sound illustrating the variation in downstream migration timing, residency in the Salish Sea, and upriver return timing. Recreational catch records indicate that proportionally fewer remain in the Salish Sea than in past decades for several species, and the declines began after peaks in the late 1970s – early 1980s. These declines resist easy explanation because the factors controlling residency are poorly understood, and the Salish Sea has changed over the past decades. Regardless of the cause, the diversity of migration patterns is important to the ecology of the salmon and trout species and to the humans and other members of the Salish Sea community with which they interact.
Evaluating tag-reliant harvest estimators in Chinook salmon mixed-stock fisheries using simulations
Authors: Jensen Alexander J. , Cox Benjamin , Peterson James T.
Published: December 2021

Management of mixed-stock Chinook salmon (Oncorhynchus tshawytscha) fisheries requires balancing fishery access and conservation of vulnerable stocks. Although accurate, timely estimates of stock-specific harvest are crucial in achieving competing objectives, limited numbers of stock assignments (e.g., tag recoveries) can diminish the utility of estimates. We used a flexible simulation approach, applied to both a theoretical and real-world fishery case study, to compare the performance of competing monitoring alternatives and estimators for harvest. We sought to improve accuracy for point estimates of harvest and harvest trajectories over time. Bayesian models provided similarly accurate point estimates to existing models at high levels of data aggregation, generally improved estimates of harvest trajectories at intermediate aggregation, and reliable estimates of uncertainty. Incorporation of time-lagged prior information inconsistently improved estimates of harvest trajectories. Among monitoring alternatives yielding equal increases (33%) in coded wire tag recoveries, increasing tagging rates resulted in the greatest decrease in estimate uncertainty for target stocks (37.5% to 45.3%). Variable performances of mixed-stock harvest estimators suggest their use should considered on a stock- and fishery-specific basis, potentially using a simulation-based approach.
Post-settlement abundance, condition, and survival in a climate-stressed population of Pacific cod
Authors: Abookire Alisa A. , Litzow Michael A. , Malick Michael J. , Laurel Benjamin J.
Published: December 2021

The Pacific cod (Gadus macrocephalus) fishery recently collapsed in the Gulf of Alaska after a series of marine heatwaves that began in 2014. To gauge the likelihood of population recovery following these extreme warming events, we investigate potential thermal stress on age-0 cohorts through a comprehensive analysis of juvenile cod abundance, condition, growth, and survival data collected from 15 years of beach seine surveys. Abundance was strongly negatively related to ocean temperature during the egg and larval phase (winter–spring), but age-0 cod were larger in the early summer following warm winter–spring temperatures. Body condition indices suggest that warm summers may improve energetic reserves prior to the first winter; however, there was no summer temperature effect on post-settlement growth or survival. Spatial differences in abundance, condition, or growth were not detected, and density-dependent effects were either weak or positive. While the positive effects of increased summer temperatures on juvenile condition may benefit overwintering survival, they cannot compensate for high pre-settlement mortality from warming winter–spring temperatures. We conclude the critical thermal bottleneck for juvenile abundance occurs pre-settlement.
Revisiting dynamics of interacting quintessence
Authors: Pérez Patrocinio , Nucamendi Ulises , De Arcia Roberto
Published: December 2021

We apply the tools of the dynamical system theory in order to revisit and uncover the structure of a nongravitational interaction between pressureless dark matter and dark energy described by a scalar field $$\phi $$
ϕ
. For a coupling function $$Q = -(\alpha d\rho _m/dt + \beta d\rho _\phi /dt )$$

Q
=
-
(
α
d

ρ
m

/
d
t
+
β
d

ρ
ϕ

/
d
t
)

, where t is the cosmic time, we have found that it can be rewritten in the form $$Q = 3H (\alpha \rho _m + \beta (d\phi /dt)^2 )/(1-\alpha +\beta )$$

Q
=
3
H
(
α

ρ
m

+
β

(
d
ϕ
/
d
t
)

2

)
/

(
1
-
α
+
β
)

, so that its dependence on the dark matter density and on the kinetic term of the scalar field is linear and proportional to the Hubble parameter. We analyze the scenarios $$\alpha =0$$

α
=
0

, $$\alpha = \beta $$

α
=
β

and $$\alpha = -\beta $$

α
=
-
β

, separately and in order to describe the cosmological evolution we have calculated various observables. A notable result of this work is that, unlike for the noninteracting scalar field with exponential potential where five critical points appear, in the case studied here, with the exception of the matter dominated solution, the remaining singular points are transformed into scaling solutions enriching the phase space. It is shown that for $$\alpha \ne 0$$

α
≠
0

, a separatrix arises modifying prominently the structure of the phase space. This represents a novel feature no mentioned before in the literature.
MULTI-SCALE MECHANICAL BEHAVIOR ANALYSIS ON FLUID–SOLID COUPLING FOR OSTEONS IN VARIOUS GRAVITATIONAL FIELDS
Authors: ZHANG HAO , LIU HAI-YING , ZHANG CHUN-QIU , LIU ZHEN-ZHONG , WANG WEI
Published: December 2021

Background: Compact bone mainly consists of cylindrical osteon structures. In microgravity, the change in the mechanical microenvironment of osteocytes might be the root cause of astronauts’ bone loss during space flights.

Methods: A multi-scale three-dimensional (3D) fluid–solid coupling finite element model of osteons with a two-stage pore structure was developed using COMSOL software based on the natural structure of osteocytes. Gradients in gravitational fields of [Formula: see text]1, 0, 1, 2.5, and 3.7[Formula: see text]g were used to investigate the changes in the mechanical microenvironment on osteocyte structure. The difference in arteriole pulsating pressure and static compression stress caused by each gravity gradient was investigated.

Results: The mechanical response of osteocytes increased with the value of g, compared with the Earth’s gravitational field. For instance, the fluid pressure of osteocytes and the von Mises stress of bone matrix near lacunae decreased by 31.3% and 99.9%, respectively, in microgravity. Under static loading, only about 16.7% of osteocytes in microgravity and 58.3% of osteocytes in the Earth’s gravitational field could reach the fluid shear stress threshold of biological reactions in cell culture experiments. Compared with the Earth’s gravitational field, the pressure gradient inside osteocytes severely decreased in microgravity.

Conclusion: The mechanical microenvironment of osteocytes in microgravity might cause significant changes in the mechanical microenvironment of osteocytes, which may lead to disuse osteoporosis in astronauts.
The coordinate algebra of a quantum symplectic sphere does not embed into any C*-algebra
Authors: D’Andrea Francesco , Landi Giovanni
Published: December 2021

In this note, we generalize a result of Mikkelsen–Szymański and show that, for every [Formula: see text], any bounded ∗-representation of the quantum symplectic sphere [Formula: see text] annihilates the first [Formula: see text] generators. We then classify irreducible representations of its coordinate algebra [Formula: see text].
A generalization of Matkowski’s and Suzuki’s fixed point theorems
Authors: Khantwal Deepak , Aneja Surbhi , Gairola U. C.
Published: December 2021

In this paper, we present a generalization of Suzuki’s fixed point theorem and the Matkowski contraction principle for a system of transformations on the finite product of metric spaces.
Simulating tumor growth using mathematical and agent-based modeling
Authors: Chabbar Salma , Rajae Aboulaich , Abderrahmane Habbal , El Mahdi El Guarmah
Published: December 2021

In this paper, two different approaches for tumor growth modeling are presented and implemented. In the first part of the paper, a macroscopic approach using a PDE model, where the tumor is viewed as a cell mass, is implemented using the level-set method to track the tumor moving boundary in one hand by using Darcy’s law to compute the normal velocity of the free boundary and on the other hand using the shape optimization to draw the normal velocity. In the second part of the paper, a microscopic approach, which focuses on the cellular scale, is presented. A hybrid model using agent-based modeling for the cell behavior and a PDE for the description of the tumor environment is presented. A sensitivity analysis is performed on the hybrid model for a better understanding of its impact on the tumor growth. Numerical experiments are provided for the proposed approaches.
Hybrid manuscripts
Authors: Antonini Alessio , Benatti Francesca
Published: December 2021

Manuscripts are usually seen as collections of material artefacts that are the by-products of authoring. Manuscripts are central in studies on authors and are used to disambiguate and reconstruct significant literary works. Digital scholarly editions are, for instance, hypertext systems that enable the collaborative, distributed study of digitised material manuscripts. However, digital and web authoring challenge the classical notion of manuscript as they generate traces that are different in form and nature (e.g. logs) while enabling a variety of collaborative practices. We address the epistemic differences between material and digital artefacts, highlighting what aspects of authoring they reflect and providing a digital-aware reframing of the manuscript.
Treatments for skeletal muscle abnormalities in heart failure: sodium-glucose transporter 2 and ketone bodies
Authors: Takada Shingo , Sabe Hisataka , Kinugawa Shintaro
Published: December 2021

Various skeletal muscle abnormalities are known to occur in heart failure (HF) and are closely associated with exercise intolerance. Particularly, abnormal energy metabolism caused by mitochondrial dysfunction in skeletal muscle is a cause of decreased endurance exercise capacity. However, to date, no specific drug treatment has been established for the skeletal muscle abnormalities and exercise intolerance occurring in patients with HF. Sodium-glucose transporter 2 (SGLT2) inhibitors promote glucose excretion by suppressing glucose reabsorption in the renal tubules, which has a hypoglycemic effect independent of insulin secretion. Recently, large clinical trials have demonstrated that treatment with SGLT2 inhibitors suppresses cardiovascular events in patients who have HF with systolic dysfunction. Mechanisms of the therapeutic effects of SGLT2 inhibitors for HF have been suggested to be diuretic, suppression of neurohumoral factor activation, renal protection, and improvement of myocardial metabolism, but this has not been clarified to date. SGLT2 inhibitors are known to increase blood ketone bodies. This suggests that they may improve the abnormal skeletal muscle metabolism in HF, that is, improve fatty acid metabolism, suppress glycolysis, and use ketone bodies in mitochondrial energy production. Ultimately, they may improve aerobic metabolism in skeletal muscle, suppress anaerobic metabolism, and improve aerobic exercise capacity at the level of the anaerobic threshold. The potential actions of such SGLT2 inhibitors explain their effectiveness in HF and may be candidates for new drug treatments aimed at improving exercise intolerance. In this review, we outlined the effects of SGLT2 inhibitors on skeletal muscle metabolism, with a particular focus on ketone metabolism.
The adducin saga: pleiotropic genomic targets for precision medicine in human hypertension—vascular, renal, and cognitive diseases
Authors: Gonzalez-Fernandez Ezekiel , Fan Letao , Wang Shaoxun , Liu Yedan , Gao Wenjun , Thomas Kirby N. , Fan Fan , Roman Richard J.
Published: December 2021

Hypertension is a leading risk factor for stroke, heart disease, chronic kidney disease, vascular cognitive impairment, and Alzheimer’s disease. Previous genetic studies have nominated hundreds of genes linked to hypertension, and renal and cognitive diseases. Some have been advanced as candidate genes by showing that they can alter blood pressure or renal and cerebral vascular function in knockout animals; however, final validation of the causal variants and underlying mechanisms has remained elusive. This review chronicles 40 years of work, from the initial identification of adducin (ADD) as an ACTIN-binding protein suggested to increase blood pressure in Milan hypertensive rats, to the discovery of a mutation in ADD1 as a candidate gene for hypertension in rats that were subsequently linked to hypertension in man. More recently, a recessive K572Q mutation in ADD3 was identified in Fawn-Hooded Hypertensive (FHH) and Milan Normotensive (MNS) rats that develop renal disease, which is absent in resistant strains. ADD3 dimerizes with ADD1 to form functional ADD protein. The mutation in ADD3 disrupts a critical ACTIN-binding site necessary for its interactions with actin and spectrin to regulate the cytoskeleton. Studies using Add3 KO and transgenic strains, as well as a genetic complementation study in FHH and MNS rats, confirmed that the K572Q mutation in ADD3 plays a causal role in altering the myogenic response and autoregulation of renal and cerebral blood flow, resulting in increased susceptibility to hypertension-induced renal disease and cerebral vascular and cognitive dysfunction.
Synthesis, Characterization, and Application of Co-Al-Zn Layered Double Hydroxide/Hydrochar Composite for Simultaneous Removal of Cationic and Anionic Dyes
Authors: Memon Najma , Kanwal Urooj , Memon Abdullah , Memon Safia Sanam , Memon Saima Qayoom
Published: December 2021

Decontamination of organic dyes from wastewater requires efficient and compatible materials that must be able to remove dyes with different charges at the same time. In this study, composites of layered double hydroxide (LDH) and hydrochar (HC) were prepared and tested for use as general-purpose sorbents for the simultaneous removal of cationic and anionic dyes (i.e., methylene blue (MB), methyl orange (MO), and reactive yellow (RY)). Characterization studies reveal that the surface functional groups on composites are –OH, NO3, M–O bonds. It was observed that crystallinity of LDH decreased with an increasing amount of HC. Preliminary experiments showed that the dyes (i.e., MB, MO, and RY) were well removed simultaneously onto the composite with HC (2.0 g HC/prepared composite). This composite was selected for more experiments, and the adsorption efficiency was optimized by the multivariate technique using the response surface methodology (RSM). Removal efficiency of 100% was obtained for all three dyes with an adsorption capacity of 243, 5.3, and 16.3 µmol g−1 for MB, MO, and RY, respectively. Elovich’s initial intake rates (α) were 4,272, 441, and 99.5 mg g−1 min−1 for RY, MB, and MO, respectively. Data fitted in various models suggested second-order multiplex kinetics, where the surface heterogeneity response was sorbate dependent.
[Retracted] Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network
Authors: Chen Xi
Published: December 2021

Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefore, in the era of big data, data mining and analysis of Chinese language teaching can effectively sum up experience and draw lessons, so as to improve the quality of Chinese language teaching and promote Chinese language culture. Text clustering technology can analyze and process the text information data and divide the text information data with the same characteristics into the same category. Based on big data, combined with convolutional neural network and K‐means algorithm, this paper proposes a text clustering method based on convolutional neural network (CNN), constructs a Chinese language teaching data mining analysis system, and optimizes it so that the system can better mine Chinese character data in Chinese language teaching data in depth and comprehensively. The results show that the optimized k‐means algorithm needs 683 iterations to achieve the target accuracy. The average K‐measure value of the optimized system is 0.770, which is higher than that of the original system. The results also show that K‐means algorithm can significantly improve the clustering effect, optimize the data mining analysis system of Chinese language teaching, and deeply mine the Chinese data in Chinese language teaching, so as to improve the quality of Chinese language teaching.
Best Proximity Point Theorems for Single and Multivalued Mappings in Fuzzy Multiplicative Metric Space
Authors: Farheen Misbah , Kamran Tayyab , Hussain Azhar
Published: December 2021

In this paper, we introduce fuzzy multiplicative metric space and prove some best proximity point theorems for single-valued and multivalued proximal contractions on the newly introduced space. As corollaries of our results, we prove some fixed-point theorems. Also, we present best proximity point theorems for Feng-Liu-type multivalued proximal contraction in fuzzy metric space. Moreover, we illustrate our results with some interesting examples.
On the Dynamics of a Fractional-Order Ebola Epidemic Model with Nonlinear Incidence Rates
Authors: Chinyoka Mirirai , Gashirai Tinashe B. , Mushayabasa Steady
Published: December 2021

We propose a new fractional-order model to investigate the transmission and spread of Ebola virus disease. The proposed model incorporates relevant biological factors that characterize Ebola transmission during an outbreak. In particular, we have assumed that susceptible individuals are capable of contracting the infection from a deceased Ebola patient due to traditional beliefs and customs practiced in many African countries where frequent outbreaks of the disease are recorded. We conducted both epidemic and endemic analysis, with a focus on the threshold dynamics characterized by the basic reproduction number. Model parameters were estimated based on the 2014-2015 Ebola outbreak in Sierra Leone. In addition, numerical simulation results are presented to demonstrate the analytical findings.
Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction
Authors: Tian Yanjia , Feng Xiang
Published: December 2021

Discriminant graph embedding-based dimensionality reduction methods have attracted more and more attention over the past few decades. These methods construct an intrinsic graph and penalty graph to preserve the intrinsic geometry structures of intraclass samples and separate the interclass samples. However, the marginal samples cannot be accurately characterized only by penalty graphs since they treat every sample equally. In practice, these marginal samples often influence the classification performance, which needs to be specially tackled. In this study, the near neighbors’ hypothesis margin of marginal samples has been further maximized to separate the interclass samples and improve the discriminant ability by integrating intrinsic graph and penalty graph. A novel discriminant dimensionality reduction named LMGE-DDR has been proposed. Several experiments on public datasets have been conducted to verify the effectiveness of the proposed LMGE-DDR such as ORL, Yale, UMIST, FERET, CMIU-PIE09, and AR. LMGE-DDR performs better than other compared methods, and the corresponding standard deviation of LMGE-DDR is smaller than others. This demonstrates that the evaluation method verifies the effectiveness of the introduced method.
Efficacy of Natural Zeolite and Metakaolin as Partial Alternatives to Cement in Fresh and Hardened High Strength Concrete
Authors: Gowram Iswarya , M Beulah , Sudhir MR , Mohan Mothi Krishna , Jain Deekshith
Published: December 2021

Urbanization and industrialization have dramatically increased the manufacture of cement causing substantial pollution of the environment. The primary global concern related to cement manufacture has been the management of the large carbon footprints. The usages of environmentally friendly cementitious materials in the construction of structures have proved to be a viable option to deal with this environmental concern. Therefore, it is necessary to further explore the usage of cementitious materials which can replace cement albeit partially. In this direction of research, two such cementitious materials, namely, natural zeolite and metakaolin have been investigated in this study. High‐strength concrete M60 with natural zeolite and metakaolin as the partial replacements for the cement has been prepared in this work. Polycarboxylic ether‐based superplasticizer solution has been used to enhance workability. The test specimen cast and cured for 3, 7, 28, 60, and 90 days at ambient room temperature has been tested for compressive strength, split tensile strength, and flexural strength as per the Indian standards. The optimum mix of high‐strength concrete thus manufactured has met the Indian standards, and the combination of cement +5% natural zeolite +10% metakaolin has exhibited the highest compressive, split tensile, and flexural strengths at 90 days of curing. Natural zeolite and metakaolin when used in smaller proportions have increased the concrete strength, and these materials are recommended for partial replacement of cement.
Classification of Public Health Centres in Accra through a Web-Based Portal Integrated with Geographical Information System (GIS)
Authors: Asabere Nana Yaw , Lawson Gare , Badu-Marfo Godwin , Kwofie Lydia , Mensah Daniel Opoku , Lartey Reginald
Published: December 2021

A health system is described as a logically organized collection of resources, agents, and institutions that offer healthcare to a specific population based on the finance, regulation, and delivery of health services. Many health centres have been established in Accra, the capital city of Ghana, due to the importance of good health. People in other developed nations can seek adequate healthcare, since information about relevant health centres is readily available. However, there is a paucity of information about the services provided by existing health institutions in Ghana, particularly in Accra. The majority of patients commute to either Korle-Bu Teaching Hospital or Greater Accra Regional Hospital, putting a considerable medical strain on these facilities. In this study, we use a Geographic Information System (GIS) to establish a database for all of Accra’s health centres and categorize them according to the services they provide. This research tackled the previously mentioned problem by proposing and developing a web-based map called Geohealth for the classification of public health centres in Accra using GIS to assist users in accessing information and locating health centres. We utilized a mixed-method approach consisting of quantitative as well as Build Computer Science Research Methods. Results of our study show that the majority of the participants and stakeholders in our research are eager to embrace Geohealth. Furthermore, in comparison with existing techniques such as Google Maps, our proposed approach, Geohealth, takes less time to obtain information and locate public health centres in Accra, Ghana.
Analysis and Experimental Investigation of Vibration Characteristics of Rotary Platform of Hydraulic Excavator under Complex Working Conditions
Authors: Li Tinghao , Liu Fuxiu , Li Zhaojun , Lu Mingjin , He Qiulu
Published: December 2021

The rotary platform is the load‐bearing substrate of a hydraulic excavator. The dynamic characteristics of the rotary platform directly affect the reliability and safety of the whole machine of a hydraulic excavator. In this work, the characteristics of the main external excitations acting on the hydraulic excavator such as the engine excitation, pressure pulsation excitation of the piston pump, inertial excitation of the working device, and road excitation are analyzed. The vibration transmission paths under the action of external excitations are ascertained. A vibration test method for the rotary platform of the hydraulic excavator is proposed. The vibration characteristics of the rotary platform under complex working conditions are researched, and the internal relationships between the vibration characteristics of the rotary platform and the engine excitation, pressure pulsation excitation of the piston pump, and road excitation are analyzed experimentally. The results show that the rotary platform is subjected to different excitations when it is under different working conditions. Moreover, the internal relationships between the dynamic characteristics of the rotary platform and the external excitation characteristics can be discovered by analyzing the vibration signals of the rotary platform, and the dynamic characteristics of the whole machine of the hydraulic excavator can be deeply studied based on the vibration characteristics of the rotary platform.
p53 Inhibition Protects against Neuronal Ischemia/Reperfusion Injury by the p53/PRAS40/mTOR Pathway
Authors: Zhao Jianlan , Dong Yinhui , Chen Xingyu , Xiao Xiao , Tan Bo , Chen Gong , Hu Jin , Qi Dashi , Li Xiaomu , Xie Rong
Published: December 2021

The underlying mechanisms of cerebral ischemia/reperfusion (I/R) injury are unclear. Within this study, we aimed to explore whether p53 inhibition exerts protective effects via the p53/PRAS40/mTOR pathway after stroke and its potential mechanism. Both an in vitro oxygen‐glucose deprivation (OGD) model with a primary neuronal culture and in vivo stroke models (dMCAO or MCAO) were used. We found that the infarction size, neuronal apoptosis, and autophagy were less severe in p53 KO mice and p53 KO neurons after cerebral I/R or OGD/R injury. By activating the mTOR pathway, p53 knockdown alleviated cerebral I/R injury both in vitro and in vivo. When PRAS40 was knocked out, the regulatory effects of p53 overexpression or knockdown against stroke disappeared. PRAS40 knockdown could inhibit the activities of the mTOR pathway; moreover, neuronal autophagy and apoptosis were exacerbated by PRAS40 knockdown. To sum up, in this study, we showed p53 inhibition protects against neuronal I/R injury after stroke via the p53/PRAS40/mTOR pathway, which is a novel and pivotal cerebral ischemic injury signaling pathway. The induction of neuronal autophagy and apoptosis by the p53/PRAS40/mTOR pathway may be the potential mechanism of this protective effect.
Trajectory Tracking Method of Volleyball Player’s Arm Hitting Image Based on D-P Algorithm
Authors: Qin Hao
Published: December 2021

Aiming at the problems of poor image tracking effect, low precision, and long time in the process of image tracking of volleyball player’s arm hitting, a volleyball player's arm hitting image tracking method based on D-P algorithm is proposed. This paper analyzes the basic concept, basic principle, and basic equation of D-P algorithm and collects the arm stroke trajectory image of volleyball players under the three-dimensional visual model. Using wavelet multiscale decomposition method, the arm stroke trajectory of volleyball players is filtered, and the edge contour feature points of the arm stroke image of volleyball players are extracted. Using the gray histogram feature extraction method, the gray information of volleyball player's arm hitting trajectory image is enhanced. Combined with pixel adaptive enhancement technology, the key action feature points of volleyball player's arm hitting image trajectory are located. Based on D-P algorithm, the volleyball player's arm hitting image trajectory is adjusted and modified to realize the correct tracking of volleyball player's arm hitting image trajectory. The experimental results show that the trajectory tracking effect of volleyball player's arm hitting image is better, which can effectively improve the tracking accuracy and shorten the tracking time.
Research on the Optimization Strategy of Innovation Behavior and Entrepreneurship Intention in Entrepreneurship Teaching
Authors: Huang Jieqi , Wu Jun , Deng Baijun , Bao Shuqin
Published: December 2021

Entrepreneurial intention is a necessary prerequisite for prospective entrepreneurs to start a new business, and today’s college students are the potential entrepreneurs of the future. How to improve students’ willingness to start a business is an important topic that a large number of scholars continue to pay attention to. The purpose of this work is to disentangle how college students’ previous innovative behavior affects their entrepreneurial intention from the view of social psychology. Survey data from a vocational college in China indicate that college students’ previous innovative behavior facilitates flow, which in turn affects their entrepreneurial intention. Our empirical findings flourish the research on antecedents of college students’ entrepreneurial intention, make contributions to the research on flow in entrepreneurship, and provide useful recommendations and suggestions in entrepreneurship teaching.
[Retracted] Expression of lncRNA‐ANRIL before and after Treatment and Its Predictive Value for Short‐Term Survival in Patients with Coronary Heart Disease
Authors: Sun Jinhui , Qiu Shi
Published: December 2021

This study aimed at observing the expression of lncRNA‐ANRIL (ANRIL) before and after treatment and its predictive value for short‐term survival in patients with coronary heart disease (CHD). Altogether, 112 patients with CHD admitted to the hospital were enrolled as a study group (SG), which was divided into a pretreatment study group (preSG) and a posttreatment study group (postSG). Further 72 healthy people undergoing physical examinations during the same period were enrolled as a control group (CG). Peripheral blood was collected from the subjects in the three groups, to detect the expression level of serum ANRIL using quantitative reverse transcription PCR (qRT‐PCR). A receiver operating characteristic (ROC) curve was plotted to evaluate the diagnostic value of ANRIL for CHD. Kaplan‐Meier survival curves were plotted to analyze 3‐year survival rates in high‐ and low‐ANRIL expression groups. Cox regression was conducted to analyze independent risk factors affecting the patients. The expression level of serum ANRIL in preSG was significantly lower than those in CG and postSG (P < 0.05). According to the ROC curve, the area under the curve (AUC) of serum ANRIL for diagnosing CHD in CG was 0.894 and the optimal cutoff value was 0.639, with the sensitivity of 86.61% and the specificity of 93.67%. According to the survival curves, the 3‐year overall survival rate in the high‐ANRIL expression group was significantly lower than that in the low‐expression group (P < 0.05). History of smoking, high total cholesterol (TC), high triglyceride (TG), high homocysteine (Hcy), and ANRIL expression were independent prognostic factors affecting the overall survival time of the patients (P < 0.05). ANRIL is poorly expressed in the peripheral blood of patients with CHD. Its detection has good sensitivity and specificity for diagnosing the disease, and its expression may be related to the poor prognosis of the patients.
Magnetic Resonance Imaging Evaluation of Closed-Mouth TMJ Disc-Condyle Relationship in a Population of Patients Seeking for Temporomandibular Disorders Advice
Authors: Tresoldi Matteo , Dias Ricardo , Bracci Alessandro , Segù Marzia , Guarda-Nardini Luca , Manfredini Daniele
Published: December 2021

Objective. To characterize the closed-mouth temporomandibular joint (TMJ) disc-condyle relationship in a population of individuals who sought hospital services for temporomandibular disorders (TMD). Methods. Two hundred and twenty-four TMJ magnetic resonance images (MRIs) of 112 patients were assessed in all spatial planes to classify disc position with respect to the condyle in a closed-mouth position. Results. Disc displacement (DD) was present in 62.1% and superior disc position in 29.9% of the patients. Position could not be determined in 8% of the cases. Among DD, pure anteriorized position was the most common condition (34.4%), with different combined translational and rotational displacements in all the other joints (27.7%). Conclusion. There is a wide biological variability in disc position in closed mouth among patients seeking for TMD advice. Getting deeper into the correlation with clinical symptoms is recommended to refine the potential relevance of any diagnostic and management strategies based on the imaging evaluation of TMJ disc position.
Data Envelopment Analysis Algorithm of Enterprise Economic Benefits Based on Leapfrog Algorithm
Authors: Chen Ying , Zhao Xiaokang
Published: December 2021

In order to deal with the problems of low analysis accuracy and poor security in the current enterprise economic benefit data analysis, this paper proposes an enterprise economic benefit data envelopment analysis algorithm based on leapfrog algorithm. According to the proposed method, with the help of comparing and analyzing different analysis algorithms of enterprise economic benefit data, the data envelopment analysis algorithm with strong usability is selected firstly. After that, the effectiveness of DEA is judged by introducing relaxation variables with the help of the data envelopment analysis algorithm, and the non-Archimedean infinitesimal model is used to build the basic operation mechanism. On this basis, the overall operation mechanism of leapfrog algorithm component is used to clarify the value range of relevant economic benefit data and the number of global mixed iterations. The experimental results show that the envelope analysis of enterprise economic benefit-related data using this method can not only improve the accuracy of data analysis but also effectively improve the security of relevant business data.
A Comprehensive Review of the Potential Use of Green Tea Polyphenols in the Management of COVID-19
Authors: Tallei Trina Ekawati , Fatimawali  , Niode Nurdjannah Jane , Idroes Rinaldi , Zidan B. M. Redwan Matin , Mitra Saikat , Celik Ismail , Nainu Firzan , Ağagündüz Duygu , Emran Talha Bin , Capasso Raffaele
Published: December 2021

Green tea is produced from Camellia sinensis (L.) buds and leaves that have not gone through the oxidation and withering processes used to produce black and oolong teas. It was originated in China, but its cultivation and production have expanded to other Eastern Asian countries. Several polyphenolic compounds, including flavandiols, flavonols, flavonoids, and phenolic acids, are found in green tea and may constitute greater than 30% of the dry weight. Flavonols, especially catechins, represent the majority of green tea polyphenols. Green tea polyphenolic compounds have been reported to confer several health benefits. This review describes the potential use of green tea polyphenols in the management of coronavirus disease 2019 (COVID-19). The immunomodulatory, antibacterial, antioxidant, and anti-inflammatory effects of green tea polyphenols have also been considered in this review. In addition to describing the bioactivities associated with green tea polyphenols, this review discusses the potential delivery of these biomolecules using a nanoparticle drug delivery system. Moreover, the bioavailability and toxicity of green tea polyphenols are also evaluated.
Application of CT Image Technology Based on Nearest Neighbor Propagation Clustering Segmentation Algorithm in Lung Cancer Radiotherapy
Authors: Chen Weixiang , Zhao Jianfu , Dai Zhenhui , Lv Mingyue , Yang Zhenhua , Zhang Yuqin
Published: December 2021

Objective. This paper uses the nearest neighbor propagation clustering segmentation algorithm to explore the impact of PET/CT image segmentation technology on lung cancer radiotherapy planning. Methods. In this paper, PET/CT scan was performed on 12 patients with nonmetastatic lung cancer. The self-written automatic segmentation program based on PCNN model is used to segment the PET target area, and then the tumor target area is manually sketched based on CT images and PET/CT images, and the intensity-modulated radiotherapy plan is formulated with the same parameters. Target volume and dose distribution were analyzed. Results. There was no statistical difference between the PET automatic segmentation target area and the PET manual contouring target area (

P
<
0.05

); the segmentation method was accurate and reliable; the difference between the CT manual contouring target area was statistically significant (

P
0.05

). Conclusion. Based on the nearest neighbor propagation clustering segmentation algorithm, PET/CT image segmentation technology improves the accuracy of tumor target area delineation. The radiotherapy plan based on the segmentation target area can reduce the normal tissue exposure range and reduce the incidence of complications.
Stock Trading System Based on Machine Learning and Kelly Criterion in Internet of Things
Authors: Chen Lili , Sun Lingyun , Chen Chien-Ming , Wu Mu-En , Wu Jimmy Ming-Tai
Published: December 2021

The evolution of the Internet of Things (IoT) has promoted the prevalence of the financial industry as a variety of stock prediction models have been able to accurately predict various IoT‐based financial services. In practice, it is crucial to obtain relatively accurate stock trading signals. Considering various factors, finding profitable stock trading signals is very attractive to investors, but it is also not easy. In the past, researchers have been devoted to the study of trading signals. A genetic algorithm (GA) is often used to find the optimal solution. In this study, a long short‐term (LSTM) memory neural network is used to study stock price fluctuations, and then, genetic algorithms are used to obtain appropriate trading signals. A genetic algorithm is a search algorithm that solves optimization. In this paper, the optimal threshold is found to determine the trading signal. In addition to trading signals, a suitable trading strategy is also crucial. In addition, this research uses the Kelly criterion for fund management; that is, the Kelly criterion is used to calculate the optimal investment score. Effective capital management can not only help investors increase their returns but also help investors reduce their losses.
A Collaborative Cache Strategy in Satellite‐Ground Integrated Network Based on Multiaccess Edge Computing
Authors: Yang Li , Kong Xiangguang , Qi Yaowen , Pan Chengsheng
Published: December 2021

Multiaccess edge computing (MEC) provides users with a network environment and computing storage capacity at the edge of the network, ensuring a deterministic service with low delivery delay. This paper introduces a new satellite‐ground integrated collaborative caching network architecture based on MEC and studies the caching strategy. On the ground side, the edge nodes (ENs) are deployed to the user side to form a hierarchical collaborative cache mode centered on the base station. On the satellite side, we utilize intelligent satellite ENs to precache and multicast the highly popular contents, reducing the initial content delivery delay. Under the constraints of the user demand and storage capacity, we study the deployment and cache scheme of ENs and establish the delivery delay minimization problem. To solve the problem, we propose a content update decision parameter for content cache update and transform the problem into improving the hit rate of ENs. Simulation results show that the proposed MEC network architecture and content caching scheme can increase the caching system hit rate to 64% and reduce the average delay by 32.96% at most.
The Relationship between Body Mass Index, Obesity, and LINE-1 Methylation: A Cross-Sectional Study on Women from Southern Italy
Authors: Maugeri Andrea , Barchitta Martina , Magnano San Lio Roberta , Favara Giuliana , La Mastra Claudia , La Rosa Maria Clara , Agodi Antonella
Published: December 2021

Uncovering the relationship between body mass index (BMI) and DNA methylation could be useful to understand molecular mechanisms underpinning the effects of obesity. Here, we presented a cross-sectional study, aiming to evaluate the association of BMI and obesity with long interspersed nuclear elements (LINE-1) methylation, among 488 women from Catania, Italy. LINE-1 methylation was assessed in leukocyte DNA by pyrosequencing. We found a negative association between BMI and LINE-1 methylation level in both the unadjusted and adjusted linear regression models. Accordingly, obese women exhibited lower LINE-1 methylation level than their normal weight counterpart. This association was confirmed after adjusting for the effect of age, educational level, employment status, marital status, parity, menopause, and smoking status. Our findings were in line with previous evidence and encouraged further research to investigate the potential role of DNA methylation markers in the management of obesity.
Poststroke Erectile Dysfunction in Cameroon: Prevalence, Associated Factors, and Quality of Life
Authors: Massi Daniel Gams , Mountap Gervais Ngoupayou , Moby Hervé Edouard , Ngalle Frantz Guy Epoupa , Mouliom Sidick , Doumbe Jacques , Mapoure Njankouo Yacouba
Published: December 2021

Background. Stroke is a severe disease due to its morbidity-mortality. It is the first cause of acquired disability including erectile dysfunction (ED). The purpose of this study was to determine the prevalence of ED in stroke patients at the Douala General Hospital, to identify associated factors and to evaluate their quality of life. Materials and Methods. A cross-sectional study was conducted over a period of seven months from November 2016 to May 2017 on two groups of patients in neurology, cardiology, and endocrinology units of the Douala General Hospital (Cameroon): stroke patients (stroke+) and nonstroke patients (stroke-). We collected sociodemographic and clinical data using a preestablished questionnaire. Erectile function was assessed using International Index of Erectile Function (IIEF-5). Associated and predictive factors were determined using univariate and multivariate analyses. Results were significant for a

p

value < 0.05. Results. A total of 269 patients were included, among them 87 stroke+ (32.34%) and 182 stroke- (67.66%) (controlled group). The mean age was

56.37
±
12.89

years and

57.18
±
10.24

years of stroke+ and stroke-, respectively (

p
=
0.608

). Prevalence of poststroke ED was 64.4% (

OR
=
3.41

, 95% CI: 1.99-5.82,

p
<
0.001

). The average time of occurrence of the poststroke ED was

5
±
5.85

months. Diabetes and dyslipidemia were the predictive factors of occurrence of poststroke ED. Depression was found both in stroke+ with ED and stroke+ without ED with no difference (

p
=
0.131

). Conclusion. About two-thirds of stroke patients developed ED. Diabetes and dyslipidemia were predictive factors of ED in stroke patients.
Reflexiones sobre la inflación en Chile
Authors: Romero Rafael
Published: December 2021

A principios de noviembre de 2021, la expectativa de “inflación” en Chile está en el rango de 6,4% a 7,0% para este año. Esta es una tasa relativamente alta con relación a lo que estábamos acostumbrados y también con respecto al rango meta establecido por el Banco Central de 3% anual. El 31 de diciembre de 2020 el valor de la UF fue de $29.070,33 y el 9 de septiembre de 2021 sobrepasó la barrera de los $30.000 llegando a $30.008,40. Este valor podría alcanzar a $31.014 el 31 de diciembre de 2021, lo que implicaría un alza de $1.944 en el año 2021 que, si se compara con el alza de la UF durante 2020 de $760, se dimensiona el gran impacto de la inflación. Continuar leyendo...