bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification and Prediction of Chronic Diseases Using Machine Learning Approach
Authors: Alanazi Rayan
Published: February 2022

Nowadays, humans face various diseases due to the current environmental condition and their living habits. The identification and prediction of such diseases at their earlier stages are much important, so as to prevent the extremity of it. It is difficult for doctors to manually identify the diseases accurately most of the time. The goal of this paper is to identify and predict the patients with more common chronic illnesses. This could be achieved by using a cutting-edge machine learning technique to ensure that this categorization reliably identifies persons with chronic diseases. The prediction of diseases is also a challenging task. Hence, data mining plays a critical role in disease prediction. The proposed system offers a broad disease prognosis based on patient’s symptoms by using the machine learning algorithms such as convolutional neural network (CNN) for automatic feature extraction and disease prediction and K-nearest neighbor (KNN) for distance calculation to find the exact match in the data set and the final disease prediction outcome. A collection of disease symptoms has been performed for the preparation of the data set along with the person’s living habits, and details related to doctor consultations are taken into account in this general disease prediction. Finally, a comparative study of the proposed system with various algorithms such as Naïve Bayes, decision tree, and logistic regression has been demonstrated in this paper.
A Novel Approach for Transvenous Embolization of Dural Arteriovenous Fistula Using a Balloon and a Coil as Walls: Case Presentation
Authors: Fukutome Kenji , Aketa Shuta , Nakajima Tsukasa , Hayami Hiromichi , Sasaki Hiromitsu , Matsuoka Ryuta , Tei Rinsei , Shin Yasushi , Motoyama Yasushi
Published: February 2022

Background. Transvenous embolization (TVE) for dural arteriovenous fistula (DAVF) is difficult depending on an accessible route. Reported herein is a case of transvenous embolization using a balloon and a coil as “walls.” Case Description. A 56-year-old male patient presented with a 1-month history of mild motor aphasia. The magnetic resonance imaging showed a hemorrhagic lesion in his left temporal lobe, and the cerebral angiography showed a DAVF, with parasinus shunt points near the torcula and the left transverse sinus. Access to the shunt point was very difficult; however, TVE was performed using a balloon as a wall. Furthermore, all lesion embolization was possible using a coil as a wall. Conclusions. Using a balloon or coil as a wall during a TVE is useful.
Flow Analysis of Two-Layer Nano/Johnson–Segalman Fluid in a Blood Vessel-like Tube with Complex Peristaltic Wave
Authors: Zeeshan A. , Riaz A. , Alzahrani Faris , Moqeet A.
Published: February 2022

Biologically inspired micropumps using the phenomena of peristalsis are highly involved in targeted drugging in pharmacological engineering. This study analyzed theoretically the transport of two immiscible fluids in a long flexible tube. The core region contains Johnson–Segalman non-Newtonian fluid, while the peripheral region is saturated by nanofluid. It is assumed that Darcy’s porous medium is encountered close to the walls of the tube. A complex peristaltic wave is transmitted on the compliant wall which induces the flow. Equations of continuity, momentum, energy, and nanoparticle concentration are used in modelling the problem. The modelled problem for both the regions, i.e., core and peripheral regions are developed with the assumptions of long wavelength and creeping flow. Temperature, velocity, and shear stress at the interface are assumed to be equal. The system of equations is solved analytically. The graphical results for different involving parameters are displayed and thoroughly discussed. It is received that the heat transfer goes inverse with fluid viscosity in the peripheral region, but opposite measurements are obtained in the core region. This theoretical model may be considerable in some medical mechanisms such as targeted drug delivery, differential diagnosis, and hyperthermia. Moreover, no study on non-Newtonian nanofluid is reported yet for the two-layered flow system, so this study will give a good addition in the literature of biomedical research.
SFDWA: Secure and Fault-Tolerant Aware Delay Optimal Workload Assignment Schemes in Edge Computing for Internet of Drone Things Applications
Authors: Lakhan Abdullah , Elhoseny Mohamed , Mohammed Mazin Abed , Jaber Mustafa Musa
Published: February 2022

The number of automobiles has rapidly increased in recent years. To broaden inhabitant’s travel options, push transportation infrastructures to their limitations. With the rapid expansion of vehicles, traffic congestion and car accidents are all common occurrences in the city. The Internet of drone vehicle things (IoDV) has developed a new paradigm for improving traffic situations in urban areas. However, edge computing has the following issues such as fault-tolerant and security-enabled delay optimal workload assignment. The study formulates the workload assignment problem for IoV applications based on linear integer programming. The study devises the fault-tolerant and security delay optimal workload assignment (SFDWA) schemes that determine optimal workload assignment in edge computing. The goal is to minimize average response time, which combines network, computation, security, and fault-tolerant delay. Simulation results show that the proposed schemes gain 15% optimal workload assignment for IoV application compared to existing studies.
An Algorithm for Automatic Rib Fracture Recognition Combined with nnU-Net and DenseNet
Authors: Zhang Junzhong , Li Zhiwei , Yan Shixing , Cao Hui , Liu Jing , Wei Dejian
Published: February 2022

Rib fracture is the most common thoracic clinical trauma. Most patients have multiple different types of rib fracture regions, so accurate and rapid identification of all trauma regions is crucial for the treatment of rib fracture patients. In this study, a two-stage rib fracture recognition model based on nnU-Net is proposed. First, a deep learning segmentation model is trained to generate candidate rib fracture regions, and then, a deep learning classification model is trained in the second stage to classify the segmented local fracture regions according to the candidate fracture regions generated in the first stage to determine whether they are fractures or not. The results show that the two-stage deep learning model proposed in this study improves the accuracy of rib fracture recognition and reduces the false-positive and false-negative rates of rib fracture detection, which can better assist doctors in fracture region recognition.
Oil Painting Art Appreciation Platform Based on Mobile Information System
Authors: Zhang Jing
Published: February 2022

Art is the product of culture, and the collision of cross-cultural communication and Chinese and Western culture has promoted the development and innovation of art. Today, oil painting is well known as a kind of art. At first, oil painting did not exist as art. It came from the most primitive activities of mankind and gradually became one of the categories of art with the development of civilization. In the context of the rapid development of material civilization today, the huge benefits brought by science and technology have promoted people’s pursuit of practicability. Oil painting has been used more as an instrument and has largely lost its purity as an art. Sexuality and spirituality and traditional cultural communication methods limit the development and inheritance of oil painting art. Oil painting can decorate the interior space and increase the income of museum tickets; it has collections that can add value; it cultivates readers’ temperament; the author expresses his emotions. Based on that, this article is based on the research of mobile information system and oil painting art cultural appreciation platform. The gradient descent method is the earliest, simplest, and most commonly used optimization method. The convergence speed of the gradient descent method in the region close to the optimal solution is significantly slower, and the use of the gradient descent method to solve the problem requires many iterations. First of all, this article uses the method of literature data to study the theories of keywords such as oil painting art and cultural communication. Then, oil painting art and culture communication model is designed through the classification algorithm under mobile information network. Finally, it analyzes the status quo of art culture dissemination and the dissemination of oil painting art culture in my country. Taking figure painting and landscape painting as examples, their total added values accounted for 33.4% and 49.2%, respectively. This shows that the overall scale of my country’s oil painting industry has been expanding year by year, and its status in the national economy has also been steadily improved.
Effects of MHD and Porosity on Jeffrey Fluid Flow with Wall Transpiration
Authors: Bajwa Sana , Ullah Saif , Al-Johani Amnah S. , Khan Ilyas , Andualem Mulugeta
Published: February 2022

In this research work, the velocity of Jeffrey fluid flow which is unsteady in nature, over an infinite horizontal porous plate, is considered, and also, the influence of MHD and porosity on the velocity of the fluid is investigated. The major objective of this research paper is to achieve the analytical solution for the incompressible transient flow of MHD (magneto hydrodynamic) Jeffrey fluid above an accelerating porous plate. The fluid flows above the plate at

 
y
>
0

, and the plate is infinite in the x-direction

y
=
0

and gives an oscillatory motion. For the occurrence of both injection and suction phenomena, porous plate is used. The governing equation of the model becomes dimensionless by using the appropriate set of nondimensional variables. With the help of Laplace transformation and perturbation methods, these nondimensional differential equations of Jeffrey fluid are solved. The effects of different parameters on velocity are studied. These parameters include ω (oscillating frequency), λ1 (ratio of relaxation and retardation time), β (Jeffrey fluid parameter), γ (wall transpiration parameter), t (time), k (porosity parameter), and Ha (magnetic parameter). We found that velocity declines as we increase the values of ratio of relaxation and retardation times, Jeffrey fluid parameter, wall transpiration parameter, and magnetic parameter. The effect of time, oscillation frequency, and porosity on velocity profile is opposite as that of other parameters. We take

β
<
1

, as

β

represents perturbed parameter. Graphs are plotted for various values of these parameters with the help of Mathcad software and talk over these graphs in detail.
Estimation and Analysis of Powered Phase’s Orbit of the Spacecraft Based on Multiple-Point Intersection Algorithm
Authors: Ji Honghai , Wei Yuzhou , Fan Lingling , Liu Shida , Jia Zijun , Wang Li
Published: February 2022

To estimate and analyze the orbit of a spacecraft in the ascent phase, three algorithms are proposed in this paper: a two-satellite point-by-point intersection positioning algorithm, single-satellite positioning algorithm, and multiple-point intersection collaborative positioning algorithm. Meanwhile, two mathematic models of the spacecraft orbit are presented based on the kinematics characteristic and the least square method. Besides, by combining the results of the proposed satellite positioning algorithms with mathematic models of the spacecraft orbit, the particle filtering based on the Monte Carlo algorithm is applied to filtering of the final results of the spacecraft. Finally, the effectiveness of the two-satellite point-by-point intersection positioning algorithm and the single-satellite positioning algorithm is verified through the experiment simulation on the real data.
Order Picking Systems: A Queue Model for Dimensioning the Storage Capacity, the Crew of Pickers, and the AGV Fleet
Authors: Lolli Francesco , Lodi Francesco , Giberti Claudio , Coruzzolo Antonio Maria , Marinello Samuele
Published: February 2022

Designing an order picking system can be very complex, as several interrelated control variables are involved. We address the sizing of the storage capacity of the picking bay, the crew of pickers, and the AGV fleet, which are the most important variables from a tactical viewpoint in a parts-to-pickers system. Although order picking is a widely explored topic in the literature, no analytical model that can simultaneously deal with these variables is currently available. To bridge this gap, we introduce a queue model for Markovian processes, which enables us to jointly optimise the aforementioned control variables. A discrete-event simulation is then used to validate our model, and we then test our proposal with real data under different operative scenarios, with the aim of assessing the usefulness of the proposal in real settings.
Vascular Endothelial Dysfunction in the Thoracic Aorta of Rats with Ischemic Acute Kidney Injury: Contribution of Indoxyl Sulfate
Authors: Nakagawa Keisuke , Tanaka Ryosuke , Donouchi Masahide , Kanda Masaya , Kamada Saaya , Kobuchi Shuhei , Tawa Masashi , Matsumura Yasuo , Ohkita Mamoru
Published: February 2022

Chronic kidney disease (CKD) and cardiovascular disease are known to be linked, and the involvement of indoxyl sulfate (IS), a type of uremic toxin, has been suggested as one of the causes. It is known that IS induces vascular dysfunction through overproduction of reactive oxygen species (ROS). On the other hand, the involvement of IS in the vascular dysfunction associated with acute kidney injury (AKI) is not fully understood. Therefore, we investigated this issue using the thoracic aorta of rats with ischemic AKI. Ischemic AKI was induced by occlusion of the left renal artery and vein for 45 min, followed by reperfusion 2 weeks after contralateral nephrectomy. One day after reperfusion, there was marked deterioration in renal function evidenced by an increase in plasma creatinine. Furthermore, blood IS levels increased markedly due to worsening renal function. Seven days and 28 days after reperfusion, blood IS levels decreased with the improvement in renal function. Of note, acetylcholine-induced vasorelaxation deteriorated over time after reperfusion, contradicting the recovery of renal function. In addition, 28 days after reperfusion, we observed a significant increase in ROS production in the vascular tissue. Next, we administered AST-120, a spherical adsorbent charcoal, after reperfusion to assess whether the vascular endothelial dysfunction associated with the ischemic AKI was due to a temporary increase in blood IS levels. AST-120 reduced the temporary increase in blood IS levels after reperfusion without influencing renal function, but did not restore the impaired vascular reactivity. Thus, in ischemic AKI, we confirmed that the vascular endothelial function of the thoracic aorta is impaired even after the recovery of kidney injury, probably with excessive ROS production. IS, which increases from ischemia to early after reperfusion, may not be a major contributor to the vascular dysfunction associated with ischemic AKI.
Resveratrol Inhibits High Glucose-Induced H9c2 Cardiomyocyte Hypertrophy and Damage via RAGE-Dependent Inhibition of the NF-κB and TGF-β1/Smad3 Pathways
Authors: Zhu Yanzhou , Wu Fuling , Yang Qin , Feng Haixing , Xu Dingli
Published: February 2022

Hyperglycaemia is associated with the development of cardiac vascular disease. Resveratrol (RES) is a naturally occurring polyphenolic compound that possesses many biological properties, including anti-inflammatory properties and antioxidation functions. Our study aimed to explore the RES’s protective roles on high glucose (HG)-induced H9c2 cells and the underlying mechanisms. Small-molecule inhibitors, western blotting (WB), as well as reverse-transcription PCR (RT-PCR) were employed to investigate the mechanisms underlying HG-induced damage in H9c2 cells. RES (40 μg/mL) treatment significantly alleviated HG-induced cardiac hypertrophy and cardiac dysfunction. RES abated the HG‐induced increase in the levels of extracellular matrix (ECM) components and inflammatory cytokines, reducing ECM accumulation and inflammatory responses. Additionally, RES administration prevented HG‐induced mitochondrion‐mediated cardiac apoptosis of myocardial cells. In terms of mechanisms, we demonstrated that RES ameliorated the HG‐induced overexpression of receptor for advanced glycation endproducts (RAGE) and downregulation of NF-κB signalling. Moreover, RES inhibited HG‐induced cardiac fibrosis by inhibiting transforming growth factor beta 1 (TGF‐β1)/Smad3‐mediated ECM synthesis in cultured H9c2 cardiomyocytes. Further studies revealed that the effects of RES against HG‐induced upregulation of NF-κB and TGF‐β1/Smad3 pathways were similar to those of FPS-ZM1, a RAGE inhibitor. Collectively, the results implied that RES might help alleviate HG‐induced cardiotoxicity via RAGE‐dependent downregulation of the NF-κB and TGF‐β/Smad3 pathways. This study provided evidence that RES can be developed as a promising cardioprotective drug.
On a Matrix over NC and Multiset NC Semigroups
Authors: Saleem Mohammed A. , Abdalla Mohamed , Elrawy A.
Published: February 2022

In this paper, we define a matrix over neutrosophic components (NCs), which was built using the four different intervals (0,1), [0,1), (0,1], and [0,1]. This definition was made clear by introducing some examples. Then, the study of the algebraic structure of matrices over NC under addition modulo 1, the usual product, and product by using addition modulo 1 was introduced, from which it was found that the matrix over NC built using interval [0,1) happens to be an abelian group under addition modulo 1. Furthermore, it is proved that the matrix over NC defined on the interval [0,1) is not a regular semiring. Also, we define a matrix over multiset NC semigroup using the interval [0,1). Moreover, we define a matrix over m‐multiplicity multiset NC semigroup for finite m. Several interesting properties are discussed for the three structures. It was concluded that the last two structures are semigroups and semirings under addition modulo 1 and usual product, respectively.
Epidemiological Features of COVID-19 in Makkah City: A Retrospective Data Analysis
Authors: Asghar Atif , Bamaga Majid , Khogeer Asim , El-Rahim Ibrahim Abd , Mashat Bassam , Assaggaf Hamza , Ahmed Omar
Published: February 2022

Background. Coronavirus disease 2019 (COVID-19) is continuing to circulate and change, affecting billions of people worldwide and leading to increased mortality rates, especially in the Holy City of Makkah, Kingdom of Saudi Arabia (KSA). This study was aimed at investigating the epidemiological features of COVID-19 in Makkah City, KSA. Methods. A retrospective analysis was conducted to investigate the prevalence of COVID-19 and the association between the severity and mortality of COVID-19 with demographic factors and comorbidities. Results. Among 4,742 COVID-19 patients, the incidence rate observed in males was 66.7%, and 69.7% were from Al-Noor Specialized Hospital. The highest incidence rate (25.2%) was found in the

age
 
group
>
60
 
years
 
old

, followed by the age group 51-60 years (21.8%). Furthermore, the highest frequency was observed in patients from Saudi Arabia (36.8%), followed by patients from Myanmar (14.7%) and Bangladesh (9.4%). The overall frequency of COVID-19 severity and death was 20.3% and 11.6%, respectively. Body mass index analysis showed that 1% of the patients were underweight, while 9.2% were overweight and 4.4% were obese. In addition, 9.6% had diabetes, 6.9% had hypertension, 1.1% had heart disease, and 2.2% had other chronic diseases. Conclusion. The study concluded that the overall percentages of severe COVID-19 (intensive care unit) cases and deaths in Makkah City, KSA, were 20.3% and 11.6%, respectively, and there was a higher incidence in male patients. The severity of infection was shown to have a strong significant correlation with different chronic diseases, nationality, body mass index, death rate (mortality), heart disease, and length of hospital stay (

P
<
0.05

). Despite these findings, more studies are needed to explain the underlying mechanisms that influence the overall health status of patients with specific characteristics and comorbidities.
Progression of COVID-19 in a Patient on Anti-CD20 Antibody Treatment: Case Report and Literature Review
Authors: Burgener Sebastian , Rochat Philippe , Dollenmaier Günter , Benz Gabriel , Kistler Andreas D. , Fulchini Rosamaria
Published: February 2022

Accumulating evidence suggests that anti-CD20 treatments are associated with a more severe course of COVID-19. We present the case of a 72-year-old woman treated with the B-cell-depleting anti-CD20 antibody rituximab for seropositive rheumatoid arthritis with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causing a clinical relapse more than 4 weeks after the first manifestation. Persistently positive reverse transcription polymerase chain reaction (RT-PCR) results along with a drop in cycling threshold (Ct) values, in addition to recovery of identical viral genotype by whole genome sequencing (WGS) during the disease course, argued against reinfection. No seroconversion was noted, as expected on anti-CD20 treatment. Several other case reports have highlighted potentially fatal courses of COVID-19 associated with B-cell-depleting treatments.
A Bi-Level Optimization Model for Ride-Sourcing Platform’s Spatial Pricing Strategy
Authors: Tang Wei , Wang Heng , Wang Yang , Chen Chuqiao , Chen Xiqun (Michael)
Published: February 2022

This article investigates a long-term optimal spatial pricing strategy for a ride-sourcing platform that serves a particular (possibly populated) area with profit-driven service providers (i.e., drivers) and time- and price-sensitive customers (i.e., passengers). By observing that oftentimes, the price strategy is anisotropic and spatial-dependent, both the supply and request are endogenous, and we build an analytical bi-level optimization mode. In the upper-level formulation, the ride-sourcing platform aims at setting up the spatially heterogeneous pricing strategy to maximize its total profit. However, in the lower level, we solve the trip distribution model that characterizes the flow rates among zones given the travel demand rate at each zone. We prove that when the platform seeks to expand its business, the optimal number of participating drivers and their optimal wages will be influenced not only by the pricing strategy but also by the level of service of the entire platform. Our further investigation shows that the profit at a particular zone can be influenced by the potential customers’ service requests from other zones. Finally, we use the real-world data provided by DiDi Chuxing to numerically illustrate our model and theoretical results.
Application of Improved Phase Lock Method in Weak Signal Extraction
Authors: Lou Haiyang , Hao Rujiang , Zhang Jianchao , Xue Qiang
Published: February 2022

The existing method of the weak signal under the background of strong noise (signal amplitude relative to the noise amplitude is much smaller) analysis is not very ideal. This study proposes an improved phase lock method to analyze the weak periodic signal under Gaussian white noise. Experimental results show that this method can better analyze weak signal-related information than the stochastic resonance method in a certain range of signal-to-noise ratio, and the amount of calculation is small, and the correlation theory is simple and adapted to the rapid detection of the signal; in order to further reduce the amount of calculation, the introduction of a high-order accumulation of the signal presence detection, experiments verify that the high-order accumulation can detect whether there is a weak signal in the Gaussian noise. The combination of high-order cumulant and improved phase lock method has a good effect on the analysis of weak periodic signals under strong noise backgrounds.
On Fixed-Point Results of Generalized Contractions
Authors: Kanwal Shazia , Hanif Umair , Noorwali Maha Eshaq , Alam Md. Ashraful
Published: February 2022

The purpose of this research article is to introduce new contractive conditions and to examine the existence and uniqueness of fixed points of self-mappings in the context of b-metric spaces by applying these different contractive conditions. Furthermore, some examples are given to illustrate its validity and superiority. Our results generalize and extend several well-known results in metric and b-metric spaces.
Comparative Study of Biopolymer Flooding: A Core Flooding and Numerical Reservoir Simulator Validation Analysis
Authors: Sowunmi Akinleye , Efeovbokhan Vincent E. , Orodu Oyinkepreye D. , Olabode Oluwasanmi , Oputa Alma
Published: February 2022

Polymers increase the macroscopic efficiency of the flooding process and increase crude oil recovery. The viscosity of 3 polymers xanthan, guar, and Arabic gums is measured in the lab and experimented with as EOR options. Xanthan and guar gum polymers are measured in weight percentages of 0.1, 0.2, 0.2, 0.4, 0.5, and 1, while gum Arabic is measured in 0.4, 0.5, 1, 5, 10, and 15 weight percentages. The viscosity experiments showed that gum Arabic had the lowest viscosity at 15% wt. Xanthan gum and guar gum had significantly higher viscosities than gum Arabic at corresponding weight percentages. At the same weight of 0.5%, xanthan, guar, and Arabic gums recorded a 63%, 53%, and 46% oil recovery, respectively. Due to the limitations surrounding core flooding experiments such as human error, equipment failure, and measurement of oil recoveries, it is necessary to validate the results obtained with other methods such as reservoir simulation. A reservoir model is built (using Eclipse) and incorporated with polymer and viscosity functions measured in the lab to validate results from the core flooding experiments. Peak oil recovery of 9.96%, 9.95%, and 9.90% was recorded for xanthan, guar, and Arabic gum, respectively, at a weight percentage of 0.5% weight. Also, increasing the wt% of injected polymers increases oil recovery. Results also indicate that the trend of oil recoveries during core flooding follows that observed during reservoir simulation and oil production increased as percentage weight increased for all the polymer cases considered.
Effect and Mechanisms of Quercetin for Experimental Focal Cerebral Ischemia: A Systematic Review and Meta-Analysis
Authors: Guo Chao , Wang Wen-Jun , Liao Yu-Cheng , Zhao Chao , Yin Ying , Yao Min-Na , Ding Yi , Wang Jing-Wen
Published: February 2022

Quercetin, a naturally occurring flavonoid, is mainly extracted from tea, onions, and apples. It has the underlying neuroprotective effect on experimental ischemic stroke. A systematic review and meta-analysis were used to assess quercetin’s efficacy and possible mechanisms in treating focal cerebral ischemia. Compared with the control group, twelve studies reported a remarkable function of quercetin in improving the neurological function score (NFS) (

P
<
0.05

), and twelve studies reported a significant effect on reducing infarct volume (

P
<
0.05

). Moreover, two and three studies showed that quercetin could alleviate blood-brain barrier (BBB) permeability and brain water content, respectively. The mechanisms of quercetin against focal cerebral ischemia are diverse, involving antioxidation, antiapoptotic, anti-inflammation, and calcium overload reduction. On the whole, the present study suggested that quercetin can exert a protective effect on experimental ischemic stroke. Although the effect size may be overestimated because of the quality of studies and possible publication bias, these results indicated that quercetin might be a promising neuroprotective agent for human ischemic stroke. This study is registered with PROSPERO, number CRD 42021275656.
Activation of the Innate Immune Checkpoint CLEC5A on Myeloid Cells in the Absence of Danger Signals Modulates Macrophages’ Function but Does Not Trigger the Adaptive T Cell Immune Response
Authors: Tosiek Milena J. , Groesser Kerstin , Pekcec Anton , Zwirek Monika , Murugesan Gavuthami , Borges Eric
Published: February 2022

C-Type lectin receptor 5A (CLEC5A) is a spleen tyrosine kinase- (Syk-) coupled pattern recognition receptor expressed on myeloid cells and involved in the innate immune response to viral and bacterial infections. Activation of the CLEC5A receptor with pathogen-derived antigens leads to a secretion of proinflammatory mediators such as TNF-α and IL-6 that may provoke a systemic cytokine storm, and CLEC5A gene polymorphisms are associated with the severity of DV infection. In addition, the CLEC5A receptor was mentioned in the context of noninfectious disorders like chronic obstructive pulmonary disease (COPD) or arthritis. Altogether, CLEC5A may be considered as an innate immune checkpoint capable to amplify proinflammatory signals, and this way contributes to infection or to aseptic inflammation. In this study, we determined CLEC5A receptor expression on different macrophage subsets (in vitro and ex vivo) and the functional consequences of its activation in aseptic conditions. The CLEC5A surface expression appeared the highest on proinflammatory M1 macrophages while intermediate on tumor-associated phenotypes (M2c or TAM). In contrast, the CLEC5A expression on ex vivo-derived alveolar macrophages from healthy donors or macrophages from ovarian cancer patients was hardly detectable. Targeting CLEC5A on noninflammatory macrophages with an agonistic α-CLEC5A antibody triggered a release of proinflammatory cytokines, resembling a response to dengue virus, and led to phenotypic changes in myeloid cells that may suggest their reprogramming towards a proinflammatory phenotype, e.g., upregulation of CD80 and downregulation of CD163. Interestingly, the CLEC5A agonist upregulated immune-regulatory molecules like CD206, PD-L1, and cytokines like IL-10, macrophage-derived chemokine (MDC/CCL22), and thymus and activation chemokine (TARC/CCL17) which are associated with an anti-inflammatory or a protumorigenic macrophage phenotype. In the absence of concomitant pathogenic or endogenous danger signals, the CLEC5A receptor activation did not amplify an autologous T cell response, which may represent a protective innate mechanism to avoid an undesirable autoimmune adaptive response.
An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning
Authors: Raju S. M. Taslim Uddin , Sarker Amlan , Das Apurba , Islam Md. Milon , Al-Rakhami Mabrook S. , Al-Amri Atif M. , Mohiuddin Tasniah , Albogamy Fahad R.
Published: February 2022

This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross‐validation, and regression ensemble framework. Bagging (random forest regression (RFR)), boosting (gradient boosting regression (GBR) and extreme gradient boosting regression (XGBR)), and stacking (STACK) are employed as ensemble models. Different machine learning (ML) approaches, including support vector regression (SVR), extreme learning machine (ELM), and multilayer perceptron neural network (MLP), are adopted as reference models. In order to maximize the determination coefficient (R2) value and reduce the root mean square error (RMSE), hyperparameters are set using the grid search method. Using a steel industry dataset, all tests are carried out under identical experimental conditions. In this context, STACK1 (ELM + GBR + XGBR‐SVR) and STACK2 (ELM + GBR + XGBR‐LASSO) models provided better performance than other models. The highest accuracies of R2 of 0.97 and 0.97 are obtained using STACK1 and STACK2, respectively. Moreover, the rank according to performances is STACK1, STACK2, XGBR, GBR, RFR, MLP, ELM, and SVR. As it improves the performance of models and reduces the risk of decision‐making, the ensemble method can be used to forecast the demand in a steel industry one month ahead.
Neonatal Cerebral Venous Thrombosis following Maternal SARS-CoV-2 Infection in Pregnancy
Authors: Campi Francesca , Longo Daniela , Bersani Iliana , Savarese Immacolata , Lucignani Giulia , Haass Cristina , Paolino Maria Chiara , Vadalà Sarah , De Liso Paola , Di Capua Matteo , Luciani Matteo , Esposito Giacomo , Amante Paolina Giuseppina , Vigevano Federico , Dotta Andrea
Published: February 2022

A possible consequence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is the development of an exacerbated thrombophilic status, and cerebral venous thrombosis (CVT) is a rare but possible complication of SARS-CoV-2 infection reported both in adults and in children. The present case report describes the clinical course of a term neonate showing extended CVT of unclear origin, whose mother had developed SARS-CoV-2 infection during the third trimester of pregnancy. We speculate that the prothrombotic status induced by maternal SARS-CoV-2 infection may have played a pathophysiological role in the development of such severe neonatal complication. Further investigations are required to confirm such hypothesis.
Comparison of Transperitoneal and Retroperitoneal Laparoscopic Ureterolithotomy: A Meta-Analysis
Authors: Huang Ziye , Yang Tongxin , Shao Lishi , Yang Bowei , Wang Guang , Li Pei , Yang Shunhang , Li Jiongming
Published: February 2022

Purpose: The aim of this study was to evaluate the efficacy and safety of transperitoneal and retroperitoneal laparoscopic ureterolithotomy (TLU and RLU). Materials and Methods: We undertook a literature search PubMed, Embase, and the Cochrane Library. Search date will range from inception to January 1, 2020. The final article results will be analyzed using StataSE 12 software. This meta-analysis was reported according to PRISMA guidelines, and a protocol was registered in PROSPERO (CRD42020160906). Results: Eleven articles eventually met the requirements, involving a total of 609 patients. The final result shows the operative time (Std. Mean Difference [SMD] = 0.58; 95% CI 0.36–0.80; p < 0.01), hospital stay (SMD = 0.26; 95% CI 0.02–0.49; p = 0.031), and the complication of paralytic ileus (risk difference = 0.11; 95% CI 0.05–0.17; p < 0.01) are significant difference between TLU and RLU, and TLU are higher or longer. Conclusions: Our meta-analysis suggests that if there are no other constraints, it is better to choose RLU. And more clinical trial data are needed to confirm this conclusion.
Comparison of Morphological and Histological Characteristics of Human and Sheep: Sheep as a Potential Model for Testing Midurethral Slings in vivo
Authors: Isali Ilaha , Khalifa Ahmad Osama , Shankar Subba , Dannemiller Stanley , Horne Walter , Evancho-Chapman Michelle , McClellan Phillip , MacLennan Gregory T. , Akkus Ozan , Hijaz Adonis
Published: February 2022

Introduction: The sheep was evaluated as a potential model for preclinical evaluation of urethral slings in vivo based on: (1) anatomical measurements of the sheep vagina and (2) histological tissue integration and host response to polypropylene (PP) slings. Methods: Eight female, multiparous sheep were utilized. Three of 8 animals underwent surgery mimicking human tension-free vaginal tape protocols for midurethral slings and were euthanized at 6 months. The following measurements were obtained: vaginal length, maximum vaginal width with retraction, symphysis pubis length, and distance from the pubic bone to incision. Explanted sling samples from sheep and human were stained with hematoxylin and eosin for host reaction assessment. Results: Geometric measurements were similar between humans and sheep. Sheep vaginal anatomy allowed sling placement similar to procedures in human surgeries, and all sheep recovered without problems. Comparative histology between the sheep and human indicated similar host reaction and collagen deposition around implants, confirming suitability of the sheep model for biomaterial response assessment. Conclusion: Sheep vaginal length is comparable to humans. Tissue integration and host response to PP slings showed chronic inflammation with rich collagen deposition around the material in both sheep and human specimens, highlighting the sheep as a potential animal model for preclinical testing of midurethral slings.
Determination of Age- and Sex-Specific 99th Percentile Upper Reference Limits for High-Sensitivity Cardiac Troponin I in Healthy Chinese Adults
Authors: He Bing , Wang Kaijin , Xu Panyang , Zhou Qi , Xu Jiancheng
Published: February 2022

Introduction: Age- and sex-specific reference intervals (RIs) for high-sensitivity cardiac troponin I (hs-cTnI) are not available in China. The objective of the present research was to determine the assay-specific 99th percentile upper reference limits (URLs) for hs-cTnI in healthy Chinese adults. Methods: Apparently healthy individuals were first screened with a questionnaire. The reference population was selected according to the International Federation of Clinical Chemistry (IFCC) criteria using surrogate biomarker for diabetes, myocardial dysfunction, and renal dysfunction. The serum concentration of hs-cTnI was measured using the automatized VITROS 5600 Immunodiagnostic system (Ortho Clinical Diagnostics, Raritan, NJ, USA). Results: A total of 2,183 healthy individuals (1,051 men and 1,132 women aged from 20 to 95 years) were enrolled in the study. The serum overall 99th percentile URLs of hs-cTnI were 11.1 ng/L (12.5 ng/L in men, 9.6 ng/L in women). In both men and women, the 99th percentile URLs were significantly higher in individuals ≥55 years old than those in the <55 years old, especially in women. Moreover, 78.8% of males and 70.1% of females presented with hs-cTnI concentrations above the limit of detection of 0.43 ng/L. Conclusion: The hs-cTnI-VITROS assay coincided with the performance standard of the IFCC for high-sensitivity cTnI assays. The 99th percentile URLs for hs-cTnI in healthy Chinese adults were different from the manufacturer declared and appeared heterogeneous, potentially susceptible to factors such as age and sex.
Long-Acting Growth Hormone Preparations and Their Use in Children with Growth Hormone Deficiency
Authors: Pampanini Valentina , Deodati Annalisa , Inzaghi Elena , Cianfarani Stefano
Published: February 2022

Background: Daily recombinant human growth hormone (rhGH) is approved and marketed worldwide to treat children and adults with GH deficiency and other conditions. Efficacy of rhGH therapy is influenced by several variables. Drop of treatment adherence over time has been recognized as a cause of reduced rhGH efficacy and has driven considerable efforts from pharmaceutical companies and scientists to develop long-acting rhGH (LAGH) formulations in order to relieve patients and their families from the burden of daily injections. Summary: Different technologies to manipulate drug release have been produced allowing weekly, biweekly, or monthly rhGH administration. The LAGH formulations developed at present have demonstrated a comparable or even higher efficacy as compared with daily rhGH in most of the cases and no major safety issues in phase 3 studies. A greater incidence of injection-site reactions has been reported but mainly of mild and transient nature. Key Messages: Despite LAGH analogs appearing promising, potential drawbacks still need to be addressed. Long-term consequences of nonphysiological GH profile and its consequences on metabolism and risk of cancer, optimal therapeutic monitoring, immunogenicity of LAGH molecules, and potential novel side effects related to the technologies used to develop these molecules are among the major concerns that require answers from long-term surveillance. Finally, increased acceptance of LAGH formulations from patients and their caregivers is yet to be demonstrated and cost-effectiveness evaluated consequently.
Some Remarks on QBism and Its Relevance to Metaphors for the Therapeutic Process Based on Conventional Quantum Theory
Authors: Milgrom Lionel R.
Published: February 2022

Background: Signs and symptoms of dis-ease are considered observable manifestations of an immaterial Vital Force. Likewise, experimental results on quantum systems are thought to indicate the presence of something that does not show up. Consequently, the discourse of conventional quantum theory (CQT) – with non-locality and entanglement being objective (i.e., ontic) facets of reality – has been considered a useful metaphor for the therapeutic process (TP) in homeopathy/CAMs. Thus, Patient-Practitioner-Remedy (PPR) entanglement postulated an ontic non-local interaction between patient (Px), practitioner (Pr), and potentised medicine/curative procedure (Rx), resulting in the patient’s “journey to cure.” QBism is a new epistemic interpretation of quantum theory. Rooted in the subjectivity of Bayesianism, QBism refutes the notion that the quantum state of a system is a separate ontic property of reality. In QBism, non-locality and entanglement are considered an agent’s “subjective degrees of belief,” i.e., they are personally epistemic. Objective: To examine whether previous CQT-based entanglement metaphors for the therapeutic process need re-evaluation in the light of QBism. Method: Px and Rx quantum states/wavefunctions – ΨPx, and ΨRx – are reinterpreted in QBist terms. Unlike CQT, this means each quantum state/wavefunction is postulated to represent only the local subjective “degrees of belief” of an agent who in this case, is the Pr. Results and Conclusion: Compared to earlier CQT quantum entanglement metaphors, QBism’s interpretation of the probabilities inherent in the Px and Rx quantum state/wavefunctions are Bayesian and subjective. Their resulting highly personal epistemology makes them more aligned with (and therefore potentially more useful to) how practitioners might experience the evolution of the TP. Also, because QBism predicts non-locality and entanglement can only be subjective properties of a practitioner’s own beliefs, the overall significance of previous ontic non-local CQT-based entanglement metaphors for the TP is questioned.
Smart monitoring system of composite plates for structural health monitoring using electromechanical impedance approach
Authors: Tanabalou Jayachitra , Priyadarshini Rashmi
Published: February 2022

The damage detection in structural health monitoring was performed in glass fiber composite plates and carbon nanotude composite plates. Electromechanical Impedance technique was used for identification of damage using lead zirconate titanate patches. Impact on composite structure was created artificially by drilling a hole in composite structures. Bolt stiffnesss were detected by loosening of bolts and nuts in the composite structures. Corrosion occurs due to the aging and change of environmental conditions. The novelty in this paper is the use of corroded bolts in composite structures and identified the effects of corrosion and compared the output signatures with potentiostat. In this paper common deformation detection in composite plates, measurement of bolt stiffness and effects of corrosion has been performed. Measurement of Impedance at different frequencies were normalized with the undamaged composite structures and considered as the reference signatures. These results have been analyzed and verified with the output from potentiostat.
Towards developing impairments arabic speech dataset using deep learning
Authors: Shareef Sura Ramzi , Al-Irhayim Yusra Faisal
Published: February 2022

The effective and efficient recognition of speech sounds errors for impaired children is important if a defective phonological process is early detected and corrected. This study deals with the topic of classification of speech sound errors in Arabic impairments children when Arabic letters and numbers are incorrectly pronounced. For 18 standard Arabic isolated numerals and characters, we created an impaired children speech recognition system. We utilized the Mel frequency cepstral coefficients throughout the feature extraction step. then deep long short-term memory network recognition phase. We used the developed model with the developed dataset and the classification accuracy was 97.99% and lose 0.18%, additionally, the results have been compared and yielded extremely intriguing results with previously existing recognition rates models.
Applications of internet of things for monitoring drivers-a comprehensive study
Authors: Yogarayan Sumendra , Razak Siti Fatimah Abdul , Azman Afizan , Abdullah Mohd. Fikri Azli
Published: February 2022

Driving is a complex task that involves interacting adequately with the vehicle and the environmental changes simultaneously. Drivers' health is an essential factor in determining performance outcomes and enhancing road safety. It is a known reality that drivers with sudden health complications are most likely to be involved in road accidents and suffer several injuries. Besides that, drunk driving is another aspect of a significant public health issue, where drivers under the influence of alcohol show a clear vision loss and vehicle control. The internet of things (IoT) is a trendsetting advancement in which all sensor data can be collected in the cloud. In this paper, an active monitoring tool is developed to record the driver's heart rate if these readings reach vital values while on the move. Additionally, the tool monitors the driver's alcohol concentration, and if it rises beyond a certain threshold, an alarm is sent to the designated emergency contact. The tool has been tested and has been found to work satisfactorily.
Analysis of named-entity effect on text classification of traffic accident data using machine learning
Authors: Putra Anugrah Dwiatmaja , Girsang Abba Suganda
Published: February 2022

With the rising number of accidents in Indonesia, it is still necessary to evaluate and analyze accident data. The categorization of traffic accident data has been developed using word embedding, however additional work is needed to achieve better results. Several informative named entities are frequently sufficient to differentiate whether or not information on a traffic accident exists. Named-entities are informational characteristics that can offer details about a text. The influence of named-entities on thematic text categorization is examined in this paper. The information was collected using a Twitter social media crawl. Preprocessing is done at the beginning of the process to modify and delete useful text as well as label specified entities. On Support Vector Machine (SVM), scheme comparisons were performed for (i) Word Embedding, (ii) the number of occurrences of Named Entities, and (iii) the combination of the two is known as a Hybrid. The Hybrid scheme produced an improvement in classification accuracy of 90.27 percent when compared to Word Embedding scheme and occurrences of named entities scheme, according to tests conducted using 1.885 data consisting of 788 accident data and 1.067 non-accident data.