bluuebunny/crossref_metadata_2025 huggingface dataset:
Modified Integral Homotopy Expansive Method to Find Power Series Solutions of Linear Ordinary Differential Equations about Ordinary Points
Authors: Filobello-Nino Uriel , Vazquez-Leal Hector , Huerta-Chua Jesus , Jimenez-Fernandez Victor Manuel , Herrera-May Agustin L. , Mayorga-Cruz Darwin
Published: April 2022

This article presents the Modified Integral Homotopy Expansive Method (MIHEM) which is utilized to find power series solutions for linear ordinary differential equations about ordinary points. This method is a modification of the integral homotopy expansive method. The proposal consists in providing a versatile, easy to employ and systematic method. Thus, we will see that MIHEM requires only of elementary integrations and that the initial function will be always the same for the linear ordinary differential equations of the same order which contributes to ease the procedure. Therefore, it is expected that this article contributes to change the idea that an effective method has to be long and difficult, such as it is the case of Power Series Method (PSM). This method expresses a differential equation as an integral equation, and the integrand of the equation in terms of a homotopy. We will see along this work the convenience of this procedure.
Novel Technique of Gap Waveguide Cavity Resonator Sensor with High Resolution for Liquid Detection
Authors: Alhegazi Ammar , Zakaria Zahriladha , Shairi Noor Azwan , Kamarudin Muhammad Ramlee , Alahnomi Rammah A. , Azize AzieanMohd , Wan Hassan Wan Haszerila , Bahar AmyrulAzuanMohd , Al-Gburi Ahmed Jamal Abdullah
Published: April 2022

This article proposes a novel microfluidic sensor designed with a highly accurate Q-factor for liquid detection. The proposed sensor is developed and implemented with a gap waveguide cavity resonator (GWCR) approach. The GWCR approach is formed from the two metallic plates denoted as upper and lower plates. These plates are separated by an array of metallic pins attached to the lower plate, leading to high electric field concentration. A microfluidic channel is created at the midpoint of each plate to place the holder of liquid under test (LUT). The GWCR provides a high electric field, which increases Q-factor and is shown to exhibit a significant improvement in sensitivity and linearity. To characterise and evaluate the dielectric properties of the fluid, the LUT is placed inside a hairlike glass, which passes through the microfluidic channels. The LUT perturbs the electric field distribution inside the GWCR, known as the perturbation principle. The relation between the LUT and the electric field changes the electric field behaviours in terms of resonant frequency, Q-factor, and transmission coefficient. The analysis of these changes in the electric field behaviours leads to identifying the dielectric properties of the LUT. The anonymous dielectric characteristics of LUT, permittivity, and loss tangent formulas are derived utilising the polynomial fitting approach. The measurement outcomes reveal that the stated sensor can measure the permittivity and loss tangent for both LUT samples, such as ethanol and methanol, at 6.1 GHz and 23.4°C.
Development of Chitosan‐Assisted Fe3O4@SiO2 Magnetic Nanostructures Functionalized with Nisin as a Topical Combating System against Vancomycin‐Intermediate Staphylococcus aureus (VISA) Skin Wound Infection in Mice
Authors: Nasaj Mona , Farmany Abbas , Shokoohizadeh Leili , Jalilian Farid Aziz , Mahjoub Reza , Roshanaei Ghodratollah , Nourian Alireza , Shayesteh Omid Heydari , Arabestani Mohammad Reza
Published: April 2022

The clinical significance of vancomycin‐intermediate S. aureus (VISA) infections is intensified by its tendency to develop resistance to antimicrobials and persistent infections. The decreasing effectiveness of the antimicrobials available is now seriously compromised; thus, there is an emergent need to invent new classes of antimicrobial agents that can rapidly and efficiently eradicate infections. Fe3O4@SiO2@chitosan (CS) nanocomposites were successfully synthesized and then decorated with nisin to gain Fe3O4/SiO2/CS/nisin‐based magnetic nanostructures (Fe3O4@SiO2@CS‐NISIN). The nanomaterials were characterized comparatively via FTIR (Fourier transform infrared spectroscopy), XRD (X‐ray diffraction), FE‐SEM (field emission scanning electron microscopes), DLS (dynamic light scattering), and VSM (vibrating sample magnetometer) methods. The methyl thiazol tetrazolium (MTT) assay was performed to determine the inhibitory effects of antibacterial agents on the cell viability. The in vitro bactericidal effect of all compounds was characterized using the microdilution assay. Finally, the topical antibacterial efficacy of free nisin, Fe3O4@SiO2@CS, and Fe3O4@SiO2@CS‐NISIN nanocomposites against murine superficial wound infection models was determined. The functionalized nanocomposites were more efficient in suppressing bacterial growth in vitro and in vivo compared to the same quantities of untargeted nanocomposites. MTT results showed acceptable biocompatibility of all nanoformulations, and no substantial difference in the cell viability was recorded between treated cells and untreated control. These results suggest that Fe3O4@SiO2@CS‐NISIN nanocomposites can be served as an alternative antimicrobial agent in innovative and emerging technologies to treat a variety of staphylococcal infections.
Influence of Sliding Structure on Water Flowing Fracture Zone and Surface Subsidence in the Antidip of Overlying Strata Area
Authors: Song Changsheng , Gong Shuang
Published: April 2022

Sliding structure refers to the process and result of rock deformation caused by the continuous downward sliding and cutting of the upper stratum under the influence of gravity. In the process of tectonic formation, the strata go through two times of sliding to the south and then sliding to the north after the over thrusting and overstretching, so that the strata of the overthrusting and underthrusting strata are opposite to the inclination of the overthrusting and underthrusting strata, forming the anticlinal tectonic zone. Nowadays, under the conventional geological mining conditions, the underwater mining technology and surface subsidence laws are quite mature, but the fracture zone and surface movement characteristics of the sliding structure and the antioverturning mining are still rarely studied. This paper analyzes the dam damage in the mining process and discusses the three-dimensional reconstruction of laser scanning and the acquisition method of settlement information. The three-dimensional laser scanning technology is compared with the traditional monitoring technology. The deformation characteristics of surface structures above 25091 working face are revealed. The 3D laser point cloud shows that the uneven sinking of the dam is obvious and is associated with the uneven damage of the dam mass. The actual observation at the site shows that the uneven settlement of the dam on the surface was noticeable during the 25091 working face retraction. The damage on the east side of the dam was more serious and was accompanied by the generation of cracks running east-west. The DEM model of part of the surface and dam above the 25091 working face was obtained by 3D laser scanning technology. The model was analyzed to obtain information on surface subsidence. The study reveals that the uneven subsidence condition of the dam is apparent, with the overall characteristics of large subsidence on the east side of the dam and small subsidence on the west side of the dam. The displacement of the maximum surface subsidence point reflects the special phenomenon of overburden fracture and surface movement under the influence of overburden reverse inclination.
Substation Equipment Spare Parts’ Inventory Prediction Model Based on Remaining Useful Life
Authors: Tang Bing , Ma Zhenguo , Zhang Keqi , Cao Danyi , Zhang Jianyong
Published: April 2022

A large variety of high-value substation relay protection equipment occupies a considerable amount of inventory space and capital in electric power companies. To improve this problem, this study proposes an inventory prediction model based on the remaining useful life (RUL) of equipment. The model acquires the RUL data of equipment by using the support vector regression (SVR) algorithm, and then, by taking this data as the main factor and the environmental factors and human factors during the operation of equipment as secondary factors, the model can realize the prediction of relay protection equipment in the substation. At the same time, the nature of the enterprise and the requirements for safety inventory are considered. The comparison of calculation results and error analysis, as well as the calculation time, all indicate that the RUL-based inventory forecasting is the best one. This model not only has high prediction accuracy but also has strong stability and portability. The model can provide a strong decision basis for improving the inventory management of the enterprise, enhancing the resource allocation capability, and formulating the spare parts procurement plan under the condition that the spare parts inventory reaches the safety stock.
Analysis of New RBF‐FD Weights, Calculated Based on Inverse Quadratic Functions
Authors: Rahimi Asghar , Shivanian C.A.Elyas , Abbasbandy Saeid
Published: April 2022

Local radial basis functions (RBFs) have many advantages for solution of differential equations. In some of these radial functions, there is a parameter that has a special effect on the accuracy of the answer and is known as the shape parameter. In this article, first of all, we derive inverse quadratic (IQ)‐based RBF‐generated finite difference coefficients for some derivatives in one dimension (1D). Then, to evaluate the efficiency of these new weights and also the effect of the shape parameter on the accuracy of the resulting approximations, we will test them with a suitable function. After that, we focus on solving some boundary value problems (BVPs), using IQ‐based RBF‐FD method. There is a range for the shape parameter in which the approximation error is less than other areas. We use an efficient algorithm to find the best value of the RBF parameter for the problem domain. Our studies show that IQ‐based RBF‐FD weights could be derived analytically easier than multiquadrics (MQs) which were previously presented in the literature. Besides, the results of numerical examples confirm the high accuracy of these new formulas. For better comparison, we revisit some previously studied illustrative examples.
Computing Connection‐Based Topological Indices of Sudoku Graphs
Authors: Ali Muhammad Basit , Bonyah Ebenezer , Javaid Muhammad
Published: April 2022

A topological index (TI) is a function that associates a numeric number to the under‐study molecular graph. The first TI based on distance was presented by Wiener to find the boiling point of paraffins. In 1972, to compute the total π‐electron energy of a molecule, the degree‐based indices are used. In this paper, we obtained first and second Zagreb connection, modified first, second, third, and fourth Zagreb connection, first, second, third, and fourth multiplicative Zagreb connection, and modified first, second, and third multiplicative Zagreb connection indices for Sudoku graphs.
Effect of Pore Geometry on Nanoconfined Bulk-Gas Flow Behavior
Authors: Zhang Yi
Published: April 2022

In order to improve energy consumption structure in Guizhou province, China, the efficient development of shale gas becomes more and more important. However, the theoretical understanding, towards microscopic gas flow mechanism, is still weak and insufficient. Although many models have been established, one part of them fails to cover all flow mechanisms, and the other part contains several fitting parameters. Moreover, nanopores can be divided into circular pore and slit pore in accordance with pore geometry. For cylindrical nanopores, by fully comparing with the existed models, a new bulk-gas transport model is proposed by weight superposition of slip flow and Knudsen diffusion, in which weight factors are obtained by Wu’s model and Knudsen’s model, respectively. For slit pores, an analytical equation for bulk-gas flow is proposed as well, which is free of any fitting parameters. The reliability of the proposed models has been clarified. The impacts of reservoir pressure, pore scale, and gas flow mechanism on bulk-gas flow behavior in process of shale gas development are analyzed. It is found that gas transport capacity of slit nanopores is significantly higher than that of cylindrical nanopores at the same pore scale. For slit nanopores, the larger the aspect ratio, the stronger bulk-gas transmission capacity. As the established models are free of fitting parameters and can be applied into the entire

K
n

range with sufficient accuracy, the research will greatly benefit shale gas development.
Portfolio Real Option Based on Trigeminal Tree Model in Sustainable Utilization of Exploration Asset
Authors: Wu Yiping , Wang Jianjun , Wang Qing , Li Qian , Li Haowu , Zhang Ningning , Cao Qingchao
Published: April 2022

Uncertainty of crude oil market causes the value of oil and gas exploration assets to fluctuate upward, remain unchanged, and fluctuate downward. So exploration project investment is usually chartered by multistages. This brings many challenges to investment decisions regarding the sustainable utilization of exploration assets. To avoid the investment risk of exploration projects, a portfolio option method based on the trigeminal tree model was proposed. By analysing the real options involved in oil and gas exploration assets, the investment process is divided into European options and American options. The pricing model of portfolio options is constructed by the trigeminal tree method, and sequential compound diagram and compound option diagram are built. Volatility is predicted based on the GARCH model, and then, the trinomial tree of the underlying asset value, evolution chart, sequential compound option chart, and portfolio option chart is established, respectively. Finally, the project option value is calculated. The application shows that the ROV of oil and gas exploration project of company A is 1.39 million US$ (USMM$), and the project value is 279.87 USMM$. Compared with the binary tree model, the model is superior to the traditional option pricing method in the application effect, which provides a scientific basis for investment decision-making.
Affective-Blue Design Methodology for Product Design Based on Integral Kansei Engineering
Authors: Lian Wenwu , Wang Kun-Chieh , Li Youchang , Chen Hong-Yi , Yang Chi-Hsin
Published: April 2022

Sustainable product designs always draw much attention. However, sustainable or green products are usually costly. This contradiction can be solved via blue design. The concept of blue design originates from the blue economy which is a popular strategy for providing sustainable, healthy, but cheap socioeconomic activities. This study innovatively implements the ideas of sustainability and economy from the blue economy, and the affection (or Kansei in Japanese) from the Kansei engineering into a product design process to become a novel affective-blue design methodology of a product form. The proposed methodology mainly contains three aspects. The first aspect is the merge of a novel Kansei blue model with the traditional Kansei engineering to deal with the semantic space and form decomposition issues encountered in the product form designing process. The second aspect is the adoption of proper data mining schemes to optimally trim and obtain the kernel information from the Kansei evaluation data of products. The third aspect is the usage of appropriate machine learning schemes to establish a precise relationship between product images and design elements from the kernel information. A case study was conducted for the form design of a computer-numerical-control lathe to evaluate the effectiveness of our proposed methodology. The verification results, that all predictive errors are within 4.5% for test samples, show that our blue-affective design methodology is quite satisfying. Through applying this proposed methodology, designers may correctly evaluate and easily catch the essential blue and affective design factors for designing a good industrial product, such as a computer-numerical-control machine tool.
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Authors: Abir Wahidul Hasan , Uddin Md. Fahim , Khanam Faria Rahman , Tazin Tahia , Khan Mohammad Monirujjaman , Masud Mehedi , Aljahdali Sultan
Published: April 2022

White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the immune system. They are also known as “defender cells.” But the imbalance in the number of WBCs in the blood can be hazardous. Leukemia is the most common blood cancer caused by an overabundance of WBCs in the immune system. Acute lymphocytic leukemia (ALL) usually occurs when the bone marrow creates many immature WBCs that destroy healthy cells. People of all ages, including children and adolescents, can be affected by ALL. The rapid proliferation of atypical lymphocyte cells can cause a reduction in new blood cells and increase the chances of death in patients. Therefore, early and precise cancer detection can help with better therapy and a higher survival probability in the case of leukemia. However, diagnosing ALL is time-consuming and complicated, and manual analysis is expensive, with subjective and error-prone outcomes. Thus, detecting normal and malignant cells reliably and accurately is crucial. For this reason, automatic detection using computer-aided diagnostic models can help doctors effectively detect early leukemia. The entire approach may be automated using image processing techniques, reducing physicians’ workload and increasing diagnosis accuracy. The impact of deep learning (DL) on medical research has recently proven quite beneficial, offering new avenues and possibilities in the healthcare domain for diagnostic techniques. However, to make that happen soon in DL, the entire community must overcome the explainability limit. Because of the black box operation’s shortcomings in artificial intelligence (AI) models’ decisions, there is a lack of liability and trust in the outcomes. But explainable artificial intelligence (XAI) can solve this problem by interpreting the predictions of AI systems. This study emphasizes leukemia, specifically ALL. The proposed strategy recognizes acute lymphoblastic leukemia as an automated procedure that applies different transfer learning models to classify ALL. Hence, using local interpretable model-agnostic explanations (LIME) to assure validity and reliability, this method also explains the cause of a specific classification. The proposed method achieved 98.38% accuracy with the InceptionV3 model. Experimental results were found between different transfer learning methods, including ResNet101V2, VGG19, and InceptionResNetV2, later verified with the LIME algorithm for XAI, where the proposed method performed the best. The obtained results and their reliability demonstrate that it can be preferred in identifying ALL, which will assist medical examiners.
Energy-Efficient Computational Offloading for Secure NOMA-Enabled Mobile Edge Computing Networks
Authors: Wang Haiping
Published: April 2022

Computational offloading and nonorthogonal multiple access (NOMA) are two promising technologies for alleviating the problems of limited battery capacity, insufficient computational capability, and massive deployment of terminal equipment in the Internet of Things (IoT) era. However, offloading data may be threatened by malicious eavesdroppers, which leads to more energy consumptions to avoid being eavesdropped. In this work, we study the energy-efficient way of computational offloading under the condition of certain security requirement in a secure NOMA-enabled mobile-edge computing (MEC) networks, where

K

end users are intended to offload their data to the

N

-antenna access point (AP) through the same resource block under the threat of an eavesdropper. We first address energy-efficient local resource allocation by minimizing sum-energy consumption of end users, subject to CPU frequencies, offloading bits, secrecy offloading rate, and transmit power. We then optimize the local resources to obtain the minimum computation latency of task for each end user, with the constraint of certain energy budget. The solutions to the above two optimization problems are given and demonstrated numerically by a 3-user scenario.
Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor
Authors: Li Peng , Zhou Jihe
Published: April 2022

In order to track the limb movement trajectory of gymnasts, a method based on MEMS inertial sensor is proposed. The system mainly collects the acceleration and angular velocity data of 11 positions during gymnastics by constructing sensor network. Based on the two kinds of preprocessed data, the parameters such as sample mean, standard deviation, information entropy, and mean square error are calculated as classification features, the support vector machine (SVM) classification model is established, and the movements of six kinds of gymnastics are effectively recognized. The experimental results show that when the human body is doing gymnastics, the measured three-axis acceleration values are between -0.5 g~2.2 g, -1 g~2.8 g, and -1.8 g~1 g, respectively, and the static error range accounts for only 1.6%~2% of the actual measured data range. Therefore, it is considered that such static error has little effect on the accuracy of data feature extraction and action recognition, which can be ignored. It is proved that MEMS inertial sensor can effectively track the movement trajectory of gymnasts’ limbs.
Centralized and Decentralized Signal Control with Short-Term Origin-Destination Demand for Network Traffic
Authors: Zhang Can , Qiu Tony Z. , Kim Amy
Published: April 2022

We develop and assess centralized and decentralized signal control systems with short-term origin-destination (OD) demands as inputs. Considering each intersection turning movement as a virtual link, we assign traffic demand to paths based on minimal instantaneous travel time. Then, the optimal control is formulated using a G/G/n/FIFO open queueing network model (QNM). We also solve the issue of optimal control using a three-step naïve method for the centralized system with the new inputs. Because the optimization of large-scale network traffic signals can involve sizeable numbers of decision variables and nonlinear constraints, making it a nondeterministic polynomial time (NP) complete problem, we further decompose the centralized system into a decentralized system where the network is divided into subnetworks. Each subnetwork has a dedicated agent that optimizes signals within it. Furthermore, traffic demand for the entire network is decomposed into demands for subnetworks via path decomposition index (PDI). The proposed control systems are applied to test scenarios constructed using different demand profiles in grid networks. We also investigate the impact of network decomposition strategy on signal control system performance. Results show that network decomposition with smaller subnetworks results in less computational time (CT) but increased average travel time (ATT) and total travel delay (TTD).
Establishment of Performance Evaluation Model of Highway Environmental Protection Based on Deep Learning
Authors: Zhu Tao , Zhu Shuaizhen
Published: April 2022

As the foundation of the social economic system, public transportation roads play an important role in the development of the national economy. At the same time, the opposition between public transportation roads and the natural environment, ecological environment, and natural resources is becoming more and more obvious. This paper is aimed at studying the performance evaluation model of highway environmental protection based on deep learning. For this reason, related methods such as environmental protection, performance evaluation, and deep learning algorithms are proposed in the article, and corresponding experiments are also carried out in the article. The experimental results show that the highway environmental protection performance evaluation model based on deep learning can quickly help environmental supervisors to inspect the work of relevant highway environmental protection agencies and also accurately mention the environmental protection performance detection to 80%.
Prognostic Value of Plasma Cold-Inducible RNA-Binding Protein in Patients with Acute Coronary Syndrome
Authors: Ren Xiaomin , Xie Hao , Zhang Juan , Jin Xiaoping , Cui Lianqun , Chen Liming , Chen Liang , Zuo Guangfeng
Published: April 2022

Background. Cold-inducible RNA-binding protein (CIRP) is a proinflammatory cytokine. The Global Registry of Acute Coronary Events (GRACE) risk score has been widely applied in risk stratification in patients with acute coronary syndrome (ACS). We aimed to investigate the prognostic value of CIRP in ACS patients and its incremental prognostic performance on top of GARCE score. Methods. We consecutively enrolled 320 ACS patients, including 128 patients with ST-elevation myocardial infarction (STEMI), 67 patients with non-ST-elevation myocardial infarction (NSTEMI), and 125 patients with unstable angina pectoris (UAP). Plasma CIRP levels were measured at baseline. All patients received one-year follow-up for occurrence of major adverse cardiovascular outcomes (MACEs). Results. STEMI patients had a significantly higher concentration of plasma CIRP than those with NSTEMI (

p
=
0.001

) and UAP (

p
<
0.001

). Plasma CIRP level was positively correlated with GRACE score (

r
=
0.40

,

p
<
0.01

). Survival analysis revealed that the risk of MACEs increased with increasing CIRP level (log-rank

p
<
0.001

). During follow-up, 45 (14.1%) patients experienced MACEs. Both GRACE score (hazard ratio: 1.023, 95% confidence interval: 1.007-1.050,

p
=
0.021

) and plasma CIRP level (hazard ratio:1.800, 95% confidence interval:1.209-2.679,

p
=
0.004

) were independently predictive of MACEs after Cox multivariate adjustment. Incremental predictive value was observed after combining CIRP with GRACE score. Conclusions. Plasma CIRP was an independent prognostic biomarker and could improve the predictive value of GRACE score for prognosis in ACS patients.
Presentation and Management of a Giant Coronary Artery Aneurysm with a Fistula to the Right Ventricle
Authors: Peterman Nicholas , Kaptur Bradley , Adoni Naveed
Published: April 2022

A 27-year-old female presented to our emergency department in ventricular tachycardia. During her workup, she was found to have an extremely rare giant aneurysmal left anterior descending artery (LAD) ending in a coronary fistula to the right ventricle (RV). After stabilization, a variety of treatment options were considered, as there is no standard first-line treatment.
Clinical Efficacy of Budesonide/Glycopyrronium Bromide/Formoterol in the Treatment of Patients with Acute Respiratory Distress Syndrome and Its Effect on Inflammatory Factors
Authors: Liu Haiying , Wang Zhengyan , Ren Lijun , Zhang Guiqin , Zhao Dan , Guo Yanli , Wang Lijuan , Feng Hong
Published: April 2022

Objective. To examine the clinical efficacy of budesonide/glycopyrronium bromide/formoterol (Breztri Aerosphere) as an adjunct to acute respiratory distress syndrome (ARDS). Methods. A prospective study enrolled 120 patients with pulmonary endogenous ARDS admitted to the Department of Critical Care Medicine at the Fourth Hospital of Baotou from January 2017 to January 2020, and all enrollments were assigned (1 : 1) to receive conventional treatment (control group) or Breztri Aerosphere (study group). Results. Breztri Aerosphere was associated with a significantly higher total efficacy versus conventional treatment. Breztri Aerosphere resulted in significantly lower acute physiology and chronic health evaluation scoring system (APACHE II) scores and Murray lung injury scores versus conventional treatment. Both groups saw an increase in the partial pressure of carbon dioxide (PCO2), partial pressure of oxygen (PO2), and oxygen saturation (SaO2) after treatment, with higher levels seen in patients given Breztri Aerosphere. After treatment, systemic vascular resistance (SVR) in both groups rose markedly, with greater elevation witnessed in the study group. The patients given Breztri Aerosphere showed significantly lower levels of pulmonary vascular resistance (PVR), mean pulmonary arterial pressure (MAPA), pulmonary artery wedge pressure (PAWP), interleukin-6 (IL-6), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), and procalcitonin (PCT) versus those receiving conventional treatment. The patients experienced shorter mechanical ventilation time and intensive care unit (ICU) time after treatment of Breztri Aerosphere versus conventional treatment. Conclusion. Adjuvant therapy with Breztri Aerosphere in ARDS can significantly lower APACHE II scores and Murray lung injury scores, improve blood gas indexes and pulmonary circulation function indexes, and shorten mechanical ventilation time and ICU time, which may be attributed to its improvement of organism inflammation status and reduction of inflammatory factors.
Cyber Risk Recommendation System for Digital Education Management Platforms
Authors: Yin Xiufang , Chen Yanfang
Published: April 2022

Covid-19 pandemic has ushered in a new school and academic year for students in a distance learning regime. This new daily routine was unprecedented and undoubtedly unusual, especially for the younger ones. At this point and at these ages, the risk of cyber fraud is even greater. The transition from the physical environment to the Internet took place quickly without the appropriate time to control potential risks and the proper information and training of teachers and students. Some common threats that need to be addressed to protect learners and their data when using e-learning methods are malicious remote access, malware, phishing, cyber fraud, etc. Considering the above situation, this work presents an innovative cyber risk recommendation system for digital education management platforms. The system in question is a distributed two-stage algorithm based on game theory and machine learning, which is trained by the constant change in the choice of recommendations by users to maximize security. We examine the algorithm’s ability to simulate a user system in which everyone independently selects a user recommendation, assesses the environment and the implications of this choice, and then concludes whether it will continue to have that recommendation fixed. The methodology with which we have represented the digital e-learning system has been done with an approach that directly corresponds with their general view as a cyber-physical-social system. We consider the digital school as an environment that brings limitations, leading us to a pretty demanding personalization problem. Users coexist in this environment, in which everyone acts voluntarily but influences and is influenced by the surrounding environment. Our results lead us to conclude that this algorithm responds in a fully effective, flexible, and efficient way to the needs of protection and risk assessment of e-learning education systems.
A Concise Review on the Utilization of Abbreviated Protocol Breast MRI over Full Diagnostic Protocol in Breast Cancer Detection
Authors: Al Ewaidat Haytham , Ayasrah Mohammad
Published: April 2022

Breast MRI possesses high sensitivity for detecting breast cancer among the current clinical modalities and is an indispensable imaging practice. Breast MRI comprises diffusion-weighted imaging, ultrafast, and T2 weighted and T1 weighted CE (contrast-enhanced) imaging that may be utilized for improving the characterization of the lesions. This multimodal evaluation of breast lesions enables outstanding discrimination between the malignant and benign and malignant lesions. The expanding indications of breast MRI confirm the far superiority of MRI in preoperative staging, especially in the estimation of tumour size and identifying tumour foci in the contralateral and ipsilateral breast. Recent studies depicted that experts can meritoriously utilize this tool for improving breast cancer surgery despite their existence of no significant long term outcomes. For managing the, directly and indirectly, associated screening cost, abbreviated protocols are found to be more beneficial. Further, in some of the patients who were treated with neoadjuvant chemotherapy, breast MRI is utilized for documenting response. It is therefore essential to realise that oncological screening must be easily available, cost-effective, and time-consuming. Earlier detection of this short sequence protocol leads to prior and early breast cancer disease in high risky female populations like women with dense breasts, prehistoric evidence, etc. This proper utilization of AP reduces unnecessary mastectomies. Hence, this review focused on the explorative information for strongly suggesting the benefits of AP breast MRI compared to full diagnostic protocol MRI.
Effects of Environmental Factors on Carbon Stocks of Dry Evergreen Afromontane Forests of the Choke Mountain Ecosystem, Northwestern Ethiopia
Authors: Asrat Fikirte , Soromessa Teshome , Bekele Tesefaye , Kurakalva Rama Mohan , Guddeti Sravya Sai , Smart David Russel , Steger Kristine
Published: April 2022

The purpose of this research was to quantify and compare carbon stocks in two selected dry evergreen montane forests of the Choke Mountain ecosystem that are under different management regimes. The study also attempted to assess the carbon stock along environmental gradients. The average carbon stock throughout the whole plots investigated in Anshirava forest (protected) was 180.18 t·ha−1 (53%) in AGB, 111.43 t·ha−1 (33%) in soil, 36.43 t·ha−1 (11%) in BGB, 6.09 t·ha−1 (2%) in USB, 2.69 t·ha−1 (1%) in litter, and 1.36 t·ha−1 (less than 1%) in DW. In Ziba forest (high human intervention), the average carbon stock was 106.71 t·ha−1 (44%) in AGB, 100.07 t·ha−1 (42%) in soil, 21.34 t·ha−1 (9%) in BGB, 5.41 t·ha−1 (2%) in USB, 4.82 t·ha−1 (2%) in litter, and 2.00 t·ha−1 (1%) in DW. The AGB had the greatest carbon share in both forests, followed by soil. In Anshirava and Ziba forests, the mean total carbon stocks (TCS) were 338.18 t·ha−1 and 240.36 t·ha−1, with CO2 equivalents of 1241.14 t·ha−1 and 882.12 t·ha−1, respectively. The study indicated a significant variation between the two forests. Anshirava forest has larger total carbon stocks than Ziba forest. For lower, medium, and higher altitudes, the total carbon stock variation along an altitudinal gradient was 289.67 t·ha−1, 347.93 t·ha−1, and 414.89 t·ha−1 in Anshirava forest and 270.99 t·ha−1, 204.24 t·ha−1, and 224.82 t·ha−1 in Ziba forest, respectively. As a result, a greater amount of carbon was stored at higher altitudes in Anshirava and at lower altitudes in Ziba, with no significant difference in both forests. The total carbon stock variation along slope gradient was 392.60 t·ha−1, 344.59 t·ha−1, and 295.49 t·ha−1 in Anshirava forest and 258.74 t·ha−1, 222.46 t·ha−1, and 171.46 t·ha−1 in Ziba forest for flat, intermediate, and steep slopes, respectively. This resulted in higher carbon being stored in flat slopes in both forests. Also, only at the Ziba site, a significant difference was found along the slope gradient. In each forest, eight distinct aspect facings were observed, with the western (W) aspect containing the highest value of total carbon stock in both forests. Lower values, on the other hand, were recorded in the south (S) and flat (F) aspects of Anshirava and Ziba forests, respectively. The slope aspects of both forests varied significantly. As a result, the research reveals that environmental factors have a significant impact on carbon stock value of Choke Mountain forest ecosystem, but the impact is not consistent among carbon pools.
Role of Nutritional Support under Clinical Nursing Path on the Efficacy, Quality of Life, and Nutritional Status of Elderly Patients with Alzheimer’s Disease
Authors: Wu Haiyan , Wen Ya , Guo Saijin
Published: April 2022

Objective. To study the effect of nutritional support under the clinical nursing path on the nursing effect, quality of life, and nutritional status of elderly patients with Alzheimer’s disease. Methods. 110 elderly patients with Alzheimer’s disease admitted to our hospital from February 2018 to October 2019 were randomly selected and assigned at a ratio of 1 : 1 via random draw to receive either routine nursing (control group) or nutritional support under the clinical nursing path (experimental group). Outcome measures included nursing efficiency, quality of life index (QLI) score, Pittsburgh sleep quality index (PSQI) score, Mental Status Scale in Non-psychiatric Settings (MSSNS) score, social disability screening schedule (SDSS) cognitive function score, and Mini Nutritional Assessment (MNA). Results. Nutritional support under the clinical nursing path was associated with significantly higher nursing efficiency and quality of life scores versus routine nursing (

P
<
0.05

). Nutritional support under the clinical nursing path resulted in significantly lower PSQI, MSSNS, and SDSS scores, and fewer malnourished cases versus routine nursing (

P
<
0.05

). Conclusion. Nutritional support under the clinical nursing pathway can significantly improve the quality of life, cognitive function, psychological status, and nutritional status of elderly patients with Alzheimer’s disease, and has high application value.
Lipomatous (Fat-Forming) Solitary Fibrous Tumor of the Breast: A Case Report of an Uncommon Variant of a Rare Clinical Entity
Authors: Ben Ghashir Najla Saleh , Balalaa Nahed Ahmed , Anam Warda , Mohamed Rawia Mubarak
Published: April 2022

Solitary fibrous tumor (SFT) is an uncommon tumor of mesenchymal origin, which can arise at any anatomic location and can exhibit versatile histological features and a clinical course ranging from benign to frankly malignant. Lipomatous (fat-forming) SFT is a morphological variant of SFT characterized by an adipose tissue component. Breast SFT is an extremely rare clinical entity, and the literature review yielded only 28 previously reported cases. However, lipomatous (fat-forming) SFT is much less common than conventional tumors and, to our knowledge, it has never been reported in the breast. We describe a case of a 54-year-old postmenopausal woman who presented with a palpable mass on her right breast. No other associated features such as nipple discharge, skin changes, or axillary lymphadenopathy were present. The clinical differential diagnosis included fibroadenoma, phyllodes tumor, and mammary hamartoma. A ultrasound scan examination demonstrated a large, oval, well-circumscribed lesion with indeterminate features, but suspicious of malignancy. However, a needle core biopsy was performed and histological examination with ancillary immunohistochemical staining confirmed the diagnosis of SFT, a lipomatous variant. The lesion was excised with clear margins and histological examination confirmed SFT with low-risk features and follow-up was planned. Careful histological evaluation with diffuse and strong nuclear expression of STAT6 helped to distinguish lipomatous SFTs from other mimics. Here, we describe the first case of a lipomatous variant of a SFT involving the breast.
The Relation of the ‘Forms’ with the ‘Parts’ and the ‘Elements’ in Damascius the Neoplatonist: Epistemological Foundations
Authors: Terezis Christos , Petridou Lydia
Published: April 2022

In this study, we investigate the way in which Damascius describes the relation of the ‘forms’ with the ‘parts’ and the ‘elements’ in his treatise De Principiis (II 174.1-176.7), in which he utilizes aspects of the Pre-Socratic natural philosophy as well as Aristotle’s Physica. We also shed light on the epistemological terms and conditions of his analysis. From a methodological point of view, we follow the categorical schemas found in the text, which reflect the philosopher’s general positions with respect to the formation of the natural world, through which a particularly advanced and mathematically expressed natural science for studying the structures of the universe is revealed. Considering that Damascius’ main research goal is to analytically describe the general archetypical categories of the sensible world, the greatest conclusion that we draw is that the formation of the natural world came from the activation-composition of the ‘elements’, that is, the material projections, in their separations, of the productive manifestations of the metaphysical archetypal Ideas.
De inquieto a ateu: ecos de Locke na Enciclopédia
Authors: Santos Antônio Carlos dos
Published: April 2022

O objetivo deste artigo é pensar a imagem do ateu nos verbetes “Ateu” e “Ateísmo” da Enciclopédia e neles traçar a possibilidade de entendermos as marcas do pensamento lockiano. Esses traços são fundamentais para compreendermos a forma pela qual houve uma mudança na imagem do ateu entre os séculos XVII na Inglaterra e o XVIII na França e como essa alteração vai contribuir positivamente para uma melhor acolhida do não crente no ceio da sociedade moderna. Para fornecer maior inteireza ao texto, ele está dividido em duas partes: na primeira, investigaremos o perfil dos autores dos verbetes “Ateu” e “Ateísmo”; na segunda, examinaremos propriamente os dois verbetes da Enciclopédia e neles buscaremos detectar os ecos do pensamento político de Locke.
Livros e Bienal
Authors: Pimenta Pedro Paulo , Corbanezi Eder , Rodrigues Alexandre Amaral , Gonçalves Rosa Gabriela de Castro
Published: April 2022

Resenha dos livros Aisthesis. Cenas do regime estético da arte e Le temps du paysage. Aux origines de la révolution esthétique, de Jacques Rancière. De As três fontes das filosofias da história (1764 - 1798), de Bertrand Binoche, e de A filosofia da fisiocracia: Metafísica, política, economia, de Thiago Vargas. Conta ainda com uma resenha da 34ª Bienal de São Paulo (2021).
KANK4 Promotes Arteriogenesis by Potentiating VEGFR2 Signaling in a TALIN-1–Dependent Manner
Authors: Zhang Chonghe , He Hao , Dai Jianing , Li Yunxia , He Jing , Yang Wu , Dai Jialin , Han Feng , Kong Wenyan , Wang Xiaohong , Zheng Xiangjian , Zhou Jing , Pan Weijun , Chen Zhongwen , Singhal Mahak , Zhang Yaoyang , Guo Feng , Hu Junhao
Published: April 2022

Background:

Arteriogenesis plays a critical role in maintaining adequate tissue blood supply and is related to a favorable prognosis in arterial occlusive diseases. Strategies aimed at promoting arteriogenesis have thus far not been successful because the factors involved in arteriogenesis remain incompletely understood. Previous studies suggest that evolutionarily conserved KANK4 (KN motif and ankyrin repeat domain-containing proteins 4) might involve in vertebrate vessel development. However, how the KANK4 regulates vessel function remains unknown. We aim to determine the role of endothelial cell-specifically expressed KANK4 in arteriogenesis.

Methods:

The role of KANK4 in regulating arteriogenesis was evaluated using

Kank4
−/−

and

KANK4
iECOE

mice. Molecular mechanisms underlying KANK4-potentiated arteriogenesis were investigated by employing RNA transcriptomic profiling and mass spectrometry analysis.

Results:

By analyzing
Kank4-EGFP
reporter mice, we showed that KANK4 was specifically expressed in endothelial cells. In particular, KANK4 displayed a dynamic expression pattern from being ubiquitously expressed in all endothelial cells of the developing vasculature to being explicitly expressed in the endothelial cells of arterioles and arteries in matured vessels. In vitro microfluidic chip-based vascular morphology analysis and in vivo hindlimb ischemia assays using

Kank4
−/−

and

KANK4
iECOE

mice demonstrated that deletion of KANK4 impaired collateral artery growth and the recovery of blood perfusion, whereas KANK4 overexpression leads to increased vessel caliber and blood perfusion. Bulk RNA sequencing and Co-immunoprecipitation/mass spectrometry (Co-IP/MS) analysis identified that KANK4 promoted EC proliferation and collateral artery remodeling through coupling VEGFR2 (vascular endothelial growth factor receptor 2) to TALIN-1, which augmented the activation of the VEGFR2 signaling cascade.

Conclusions:

This study reveals a novel role for KANK4 in arteriogenesis in response to ischemia. KANK4 links VEGFR2 to TALIN-1, resulting in enhanced VEGFR2 activation and increased EC proliferation, highlighting that KANK4 is a potential therapeutic target for promoting arteriogenesis for arterial occlusive diseases.
Abstract 12022: Cardiac Rehabilitation for Patients With Idiopathic Hypertrophic Cardiomyopathy
Authors: Nakayama Atsuko , Morita Hiroyuki , Kato Yuko , Komuro Issei , Isobe Mitsuaki
Published: April 2022

Introduction:
Cardiac rehabilitation (CR) is strongly recommended for patients with cardiovascular diseases, but a few studies on exercise training for hypertrophic cardiomyopathy (HCM) are reported.

Objective:
The aim of this study is to clarify whether supervised CR could improve the long-term prognosis of patients with HCM.

Methods:
Our multicenter cohort study included 590 idiopathic HCM patients recruited into supervised CR with anaerobic threshold (AT) level from 2004 to 2018, who were divided into two groups according to CR duration; CR until discharge (non-CR group) and continuous outpatient CR after discharge (CR group). Mortality and major adverse cardiovascular events (MACE) were compared between the groups by Kaplan-Meier and Cox hazard analyses.

Results:
Follow-up period after registration was 3.4±2.6 years. Patients in CR group were older and their ejection fraction (EF) was lower than those in non-CR group (68±12 versus 62±19 years; p<0.01 and 57±17 versus 63±15%; p<0.001, respectively). The HCM patients in CR group had worse survival and relatively higher risk of MACE than those in non-CR group by Kaplan-Meier analysis (log rank, p=0.01 and p=0.08, respectively). However, the risk of death and MACE was similar between two groups by Cox hazard analysis adjusted by age, gender, hypertension, dyslipidemia, diabetes, smoking, EF, beta blockers, angiotensin-converting-enzyme inhibitors, angiotensin receptor blockers and statins (p=0.16 and p=0.64, respectively).

Conclusions:
Exercise with AT level for HCM patients did not significantly increase mortality, but continuous CR for patients with HCM should be carefully considered.
Abstract 12034: Personal Protective Equipment and Doffing Procedures in Out-of-Hospital Practice: Assessment With a Contamination Simulation
Authors: Pottier Fabrice , Groizard Charles , Briche Gégory , Haraczaj Nicolas , Garnier Maxime , Loones Vinciane , Ozguler Anna , Baer Michel , BAER GERALDINE , Loeb Thomas
Published: April 2022

Background:
Use of personal protective equipment (PPE) by Emergency Medical Services (EMS) requires specific attention, especially when doffing contaminated clothes. The aim of this study was to evaluate which PPE was less contaminating during doffing procedures.

Methodology:
Six subjects tested four different PPE (pictures 1 to 4): 1) Surgical gowns (SG) 2) Full body coveralls (FBC) 3) Self-made alternative PPEs (SMP) 4) Non-surgical isolation gowns (NSIG) After donning, an invisible tracer was sprayed on the gown of each subject. Then, after doffing PPE, each subject was photographed under UV lights to show areas of fluorescent “contamination” on their body. Number of contaminated areas were noted, as well as doffing time.

Results:
Contamination was observed with every type of PPE and with each subject. All body areas were contaminated at least once, except the face. While doffing, SG was found to be the least contaminating PPE. Contamination was more frequent with FBCs. The mean doffing time was shorter with SG and longer with FBC (table 1).

Conclusion:
This study confirms that doffing is a high risk of contamination procedure. Results converge towards the selection of SG over other types of PPE, which met both contamination criteria and shorter time for doffing. Specific attention should be paid to legs and abdomino-pelvic areas. Additional protections such as protective trousers or aprons could be added.