bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling the Mechanical Microenvironment of Coiled Cerebral Aneurysms
Authors: Bass David I. , Marsh Laurel M. M. , Fillingham Patrick , Lim Do , Chivukula V. Keshav , Kim Louis J. , Aliseda Alberto , Levitt Michael R.
Published: October 2022

Successful occlusion of cerebral aneurysms using coil embolization is contingent upon stable thrombus formation, and the quality of the thrombus depends upon the biomechanical environment. The goal of this study was to investigate how coil embolization alters the mechanical micro-environment within the aneurysm dome. Inertialess particles were injected in three-dimensional, computational simulations of flow inside patient aneurysms using patient-specific boundary conditions. Coil embolization was simulated as a homogenous porous medium of known permeability and inertial constant. Lagrangian particle tracking was used to calculate the residence time and shear stress history for particles in the flow before and after treatment. The percentage of particles entering the aneurysm dome correlated with the neck surface area before and after treatment (pretreatment: R2 = 0.831, P < 0.001; post-treatment: R2 = 0.638, P < 0.001). There was an inverse relationship between the change in particles entering the dome and coil packing density (R2 = 0.600, P < 0.001). Following treatment, the particles with the longest residence times tended to remain within the dome even longer while accumulating lower shear stress. A significant correlation was observed between the treatment effect on residence time and the ratio of the neck surface area to porosity (R2 = 0.390, P = 0.007). The results of this study suggest that coil embolization triggers clot formation within the aneurysm dome via a low shear stress-mediated pathway. This hypothesis links independently observed findings from several benchtop and clinical studies, furthering our understanding of this treatment strategy.
Unusual echocardiographic finding as cause of acute coronary syndrome with ST- segment elevation
Authors: Pârv Andreea-Amalia , Vajas Cristina , Anchidin Ovidiu , Puiu Andrei , Ștefan Andrei , Bochis Ovidiu , Spînu Ștefan , Roșianu Horia
Published: October 2022

Biventricular metastatic heart tumors from gynecological malignancies presented as an acute coronary syndrome with ST segment elevation are an unusual finding. We present a case of stage-4 vulvar carcinoma that metastasized in both the left and right ventricle. The particularity of the case is the echocardiographic aspect in the emergency room: multiple, large, hyperechogenic masses disseminated in the myocardium, with pericardial extension, in context of acute coronary syndrome with ST segment elevation.
Control of Cattle Tick in Pasture with Metharizium anisopliae (IBCB 425)
Authors: Santos Marcelo L. , Pereira José R. , Fiorini Leonardo C. , Duarte Fernanda C. , Almeida Isabela B. , Junior Luiz C. Roma , Soares Weber V.B. , Bendassolli Raphael H. , Almeida José E.M. , Mendes Marcia C.
Published: October 2022

Rhipicephalus (Boophilus) microplus is an ectoparasite of economic importance to cattle-rearing in tropical and subtropical countries, especially Brazil. This study aimed to assess the biological control activity of the fungus Metarhizium anisopliae in pastures at experimental farms belonging to the Unidade Regional de Pesquisa e Desenvolvimento de Pindamonhangaba (PRP) and Americana (IZ). Two areas were established in each location (treatment area vs. control area), and each contained seven animals. The treatment areas were sprayed with suspensions of the fungus M. anisopliae (IBCB 425) at a concentration of 5 x 1013 conidia per hectare (ha) in association with mineral oil. The control areas were sprayed only with water and mineral oil. Every two weeks, the levels of tick infestation on the animals were assessed in both the treated and the control area. The results from counting teleogynes on the cattle showed that the treatment with M. anisopliae was efficient, such that infestation remained greater in the control group in both locations evaluated. The annual mean efficacy was 36% for PRP and 48% for IZ. The application of the fungus M. anisopliae (IBCB 425) to pastures reduced the infestation of R. microplus and may constitute an effective strategy to combat this ectoparasite. Further studies will enable the refinement of this treatment.
REVIEWS OF ACOUSTICAL PATENTS
Authors: Fulop Sean A.
Published: October 2022

The purpose of these acoustical patent reviews is to provide enough information for a Journal reader to decide whether to seek more information from the patent itself. Any opinions expressed here are those of the reviewers as individuals and are not legal opinions. Patents are available via the internet at the USPTO website.
Developmental Transitions Coordinate Assembly of the Coxiella burnetii Dot/Icm Type IV Secretion System
Authors: Park Donghyun , Steiner Samuel , Shao Meng , Roy Craig R. , Liu Jun
Published: October 2022

Coxiella burnetii
is an obligate intracellular bacterial pathogen that has evolved a unique biphasic developmental cycle. The infectious form of
C. burnetii
is the dormant small cell variant (SCV), which transitions to a metabolically active large cell variant (LCV) that replicates inside the lysosome-derived host vacuole.
Control of Simian Immunodeficiency Virus Infection in Prophylactically Vaccinated, Antiretroviral Treatment-Naive Macaques Is Required for the Most Efficacious CD8 T Cell Response during Treatment with the Interleukin-15 Superagonist N-803
Authors: Ellis-Connell Amy L. , Balgeman Alexis J. , Harwood Olivia E. , Moriarty Ryan V. , Safrit Jeffrey T. , Weiler Andrea M. , Friedrich Thomas C. , O’Connor Shelby L.
Published: October 2022

N-803 is a drug that boosts the immune cells involved in combating HIV/SIV infection. Here, we found that in SIV
+
rhesus macaques that were not on antiretroviral therapy, N-803 increased the proliferation and potential capacity for killing of the SIV-specific immune cells to a greater degree in animals that spontaneously controlled SIV than in animals that did not control SIV.
Antimicrobial and Anti-Inflammatory Activities of MAF-1-Derived Antimicrobial Peptide Mt6 and Its D-Enantiomer D-Mt6 against Acinetobacter baumannii by Targeting Cell Membranes and Lipopolysaccharide Interaction
Authors: Kong Delong , Hua Xuan , Zhou Rui , Cui Jie , Wang Tao , Kong Fanyun , You Hongjuan , Liu Xiangye , Adu-Amankwaah Joseph , Guo Guo , Zheng Kuiyang , Wu Jianwei , Tang Renxian
Published: October 2022

Around 700,000 people worldwide die each year from antibiotic-resistant pathogens.
Acinetobacter baumannii
in clinical specimens increases year by year, and it is developing a strong resistance to clinical drugs, which is resulting in
A. baumannii
becoming the main opportunistic pathogen. Antimicrobial peptides show great potential as new antibacterial drugs that can replace traditional antibiotics.
Iron-Modified Blood Culture Media Allow for the Rapid Diagnosis and Isolation of the Slow-Growing Pathogen Francisella tularensis
Authors: Makdasi Efi , Atiya-Nasagi Yafit , Gur David , Glinert Itai , Shmaya Shlomo , Milrot Elad , Chitlaru Theodor , Mamroud Emanuelle , Laskar Orly , Schuster Ofir
Published: October 2022

In this study, we evaluated bacterial growth rates of
Francisella tularensis
strains in iron (Fe)-enriched blood cultures as a means of improving and accelerating bacterial growth. The shortening of the culturing time should facilitate rapid pathogen detection and isolation, positively impacting clinical diagnosis and enabling prompt onset of efficient therapy.
Supplemental Material: The effects of pre-stress assumptions on dynamic rupture with complex fault geometry in the San Gorgonio Pass, California, region
Authors: Tarnowski J.M. , al. et , Oglesby D.D.
Published: October 2022

Contains alternate dynamic modeling results using different nucleation methods.  
Supplemental Material: Tectonically controlled drainage fragmentation in the southwestern Great Basin, USA
Authors: Lutz B.M. , al. et
Published: October 2022

Several excel spreadsheets, word documents, and extra figures documenting the data, methods, and results of Ar and U-Pb geochronology and the XRF analyses.
The Second Stage of BTN Neutron Space Experiment onboard the Russian Section of the International Space Station: the BTN-M2 Instrument
Authors: Mokrousov M. I. , Mitrofanov I. G. , Anikin A. A. , Golovin D. V. , Karpushkina N. E. , Kozyrev A. S. , Litvak M. L. , Malakhov A. V. , Pekov A. N. , Sanin A. B. , Tretyakov V. I.
Published: October 2022

As recent studies onboard various spacecraft have shown, one unresolved technical problem of manned interplanetary flights at the moment is the high radiation background of interplanetary space, which, as in the case of a manned mission to Mars, can be critically dangerous for the crew. Work on this topic is being carried out by all space agencies. One such space experiment is represented by the BTN-Neutron experiment onboard the Russian section of the International Space Station (ISS). The main result of the work was the construction of the BTN-M2 instrument for creating effective radiation protection onboard prospective manned spacecraft, creating an engineering model of the radiation background both inside and outside the ISS, and for registration of γ rays and neutrons during solar flares and cosmic γ-ray bursts.
Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol
Authors: Tsang Kevin Cheuk Him , Pinnock Hilary , Wilson Andrew M , Salvi Dario , Shah Syed Ahmar
Published: October 2022

Introduction

Supported self-management empowering people with asthma to detect early deterioration and take timely action reduces the risk of asthma attacks. Smartphones and smart monitoring devices coupled with machine learning could enhance self-management by predicting asthma attacks and providing tailored feedback.

We aim to develop and assess the feasibility of an asthma attack predictor system based on data collected from a range of smart devices.

Methods and analysis

A two-phase, 7-month observational study to collect data about asthma status using three smart monitoring devices, and daily symptom questionnaires. We will recruit up to 100 people via social media and from a severe asthma clinic, who are at risk of attacks and who use a pressurised metered dose relief inhaler (that fits the smart inhaler device).

Following a preliminary month of daily symptom questionnaires, 30 participants able to comply with regular monitoring will complete 6 months of using smart devices (smart peak flow meter, smart inhaler and smartwatch) and daily questionnaires to monitor asthma status. The feasibility of this monitoring will be measured by the percentage of task completion. The occurrence of asthma attacks (definition: American Thoracic Society/European Respiratory Society Task Force 2009) will be detected by self-reported use (or increased use) of oral corticosteroids. Monitoring data will be analysed to identify predictors of asthma attacks. At the end of the monitoring, we will assess users’ perspectives on acceptability and utility of the system with an exit questionnaire.

Ethics and dissemination

Ethics approval was provided by the East of England - Cambridge Central Research Ethics Committee. IRAS project ID: 285 505 with governance approval from ACCORD (Academic and Clinical Central Office for Research and Development), project number: AC20145. The study sponsor is ACCORD, the University of Edinburgh.

Results will be reported through peer-reviewed publications, abstracts and conference posters. Public dissemination will be centred around blogs and social media from the Asthma UK network and shared with study participants.
Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study
Authors: Adams Megan A , Kerr Eve A , Dominitz Jason A , Gao Yuqing , Yankey Nicholas , May Folasade P , Mafi John , Saini Sameer D
Published: October 2022

Background

Low-value use of screening colonoscopy is wasteful and potentially harmful to patients. Decreasing low-value colonoscopy prevents procedural complications, saves patient time and reduces patient discomfort, and can improve access by reducing procedural demand. The objective of this study was to develop and validate an electronic measure of screening colonoscopy overuse using International Classification of Diseases, Tenth Edition codes and then apply this measure to estimate facility-level overuse to target quality improvement initiatives to reduce overuse in a large integrated healthcare system.

Methods

Retrospective national observational study of US Veterans undergoing screening colonoscopy at 119 Veterans Health Administration (VHA) endoscopy facilities in 2017. A measure of screening colonoscopy overuse was specified by an expert workgroup, and electronic approximation of the measure numerator and denominator was performed (‘electronic measure’). The electronic measure was then validated via manual record review (n=511). Reliability statistics (n=100) were calculated along with diagnostic test characteristics of the electronic measure. The measure was then applied to estimate overall rates of overuse and facility-level variation in overuse among all eligible patients.

Results

The electronic measure had high specificity (99%) and moderate sensitivity (46%). Adjusted positive predictive value and negative predictive value were 33% and 95%, respectively. Inter-rater reliability testing revealed near perfect agreement between raters (k=0.81). 269 572 colonoscopies were performed in VHA in 2017 (88 143 classified as screening procedures). Applying the measure to these 88 143 screening colonoscopies, 24.5% were identified as potential overuse. Median facility-level overuse was 22.5%, with substantial variability across facilities (IQR 19.1%–27.0%).

Conclusions

An International Classification of Diseases, Tenth Edition based electronic measure of screening colonoscopy overuse has high specificity and improved sensitivity compared with a previous International Classification of Diseases, Ninth Edition based measure. Despite increased focus on reducing low-value care and improving access, a quarter of VHA screening colonoscopies in 2017 were identified as potential low-value procedures, with substantial facility-level variability.
Prevalence and determinants of severity of uremic pruritus in hemodialysis patients: a multicentric study
Authors: Abdallah Amany M , Elsheikh Samaa M , ElBarbary Rasha A
Published: October 2022

Uremic pruritus (UP) is a common and distressing symptom in patients with advanced or end-stage renal disease under hemodialysis (HD). The present multicentric study aimed to identify prevalence and determinants of severity of UP among Egyptian patients. Performed investigations included serum urea, creatinine, calcium, phosphorus, parathormone, ferritin and liver enzymes. Pruritus was evaluated using the visual analog scale. The study included 295 patients on maintenance HD. They comprised 151 patients (51.2%) with UP. Independent predictors of UP included associated hypertension (OR: 0.48, 95% CI 0.28 to 0.83, p=0.008), higher calcium levels (OR: 1.29, 95% CI 1.02 to 1.62, p=0.032), higher phosphorus levels (OR: 1.18, 95% CI 1.02 to 1.37, p=0.03) and higher high-sensitivity C-reactive protein (hsCRP) levels (OR: 1.0, 95% CI 1.0 to 1.01, p=0.049). Independent predictors of significant UP included longer HD duration (OR: 1.23, 95% CI 1.1 to 1.38, p<0.001), lack of vitamin D supplementation (OR: 3.71, 95% CI 1.03 to 13.4, p=0.045), lower albumin levels (OR: 0.32, 95% CI 0.14 to 0.74, p=0.008) and higher hsCRP levels (OR (CRP): 1.02 (1.0–1.03), p=0.011). In conclusion, UP is fairly common among Egyptian HD patients. Independent predictors of UP severity include longer HD duration, lack of vitamin D supplementation, lower albumin levels and higher hsCRP levels.
Arthroscopic Radiocarpal Tendinous Inter-Position for Grade 2 Scapholunate Advanced Collapse – Surgical Technique
Authors: DE VILLENEUVE BARGEMON Jean-Baptiste , MERLINI Lorenzo , MATHOULIN Christophe , LEVADOUX Michel
Published: October 2022

Grade 2 scapholunate advanced collapse (SLAC 2) can be treated by proximal row carpectomy with satisfactory results. However, this method is invasive and can limit function. The senior author had proposed an arthroscopic alternative with tendon interposition between the radius and proximal carpal row (arthroscopic interposition tendon arthroplasty [AITA]). However, this arthroscopic technique is technically difficult and requires a risky palmar arthroscopic portal. We report a modification of AITA, the one-loop arthroscopic radiocarpal tendon inter-position (1L-ARTI) that is simpler and needs only dorsal arthroscopic portals.

Level of Evidence: Level V (Therapeutic)
Design and Evaluation of Technologies for Informed Food Choices
Authors: Bomfim Marcela , Wong Erin , Liang Paige , Wallace James
Published: October 2022

Technology increasingly mediates our everyday interactions with food, ranging from its production and handling to the experience of preparing and eating it with friends and family. However, it is unclear whether these technologies support decisions conducive to a healthy diet. In this work, we devised the first heuristics for evaluating a technology’s support for food literacy: the interconnected combination of awareness, knowledge, and skills to empower individuals to make informed food choices. We applied an iterative, expert-driven process to derive and refine our heuristics, starting with an established food literacy framework. We then conducted evaluations with Nutrition and HCI experts to show how the heuristics support the summative and formative design and evaluations of food-related technologies. We show that the heuristics are valuable design tools and that they help participants reflect on food literacy challenges. We also discuss tensions between nutrition and HCI best practices.
A semiconductor approach to the differential capacity of the Hg-NaF electrolyte interface
Authors: Pinkowski Alexander
Published: October 2022

Water is treated as intrinsic wide bandgap semiconductor and the electrolyte ions as ionized electron donors and -acceptors, respectively. The metal-electrolyte interface is considered to constitute the electrochemical double layer without the assumption of other inner and outer planes on the electrolyte side. On this basis the dependence of the differential capacity at pzc on the electrolyte concentration, its potential dependence under small bias as well as its temperature dependence at pzc were calculated. The dielectric relaxation of the system upon an imposed small signal/low frequency AC measuring signal is considered to consist in displacement currents of electrons and holes.
Competitive cleavage of SARS-CoV-2 spike protein and epithelial sodium channel by plasmin as a potential mechanism for COVID-19 infection
Authors: Hou Yapeng , Yu Tong , Wang Tingyu , Ding Yan , Cui Yong , Nie Hongguang
Published: October 2022

Cleavage of the furin site in SARS-CoV-2 spike (S) protein accounts for increased transmissibility of COVID-19 by promoting the entry of virus into host cells through specific angiotensin-converting enzyme 2 (ACE2) receptors. Plasmin, a key serine protease of fibrinolysis system, cleaves the furin site of γ subunit of human epithelial sodium channels (ENaCs). Sharing the plasmin cleavage by viral S and host ENaC proteins may competitively inter-regulate SARS-CoV-2 transmissibility and edema resolution via the ENaC pathway. To address this possibility, we analyzed single-cell RNA sequence (scRNA-seq) data sets and found that PLAU (encoding urokinase plasminogen activator), SCNN1G (γENaC), and ACE2 (SARS-CoV-2 receptor) were co-expressed in airway/alveolar epithelial cells. The expression levels of PLAU and FURIN were significantly higher compared with TMPRSS2 in healthy group. This difference was further amplified in both epithelial and immune cells in patients with moderate/severe COVID-19 and SARS-CoV-2 infected airway/alveolar epithelial cell lines. Of note, plasmin cleaved the S protein and facilitated the entry of pseudovirus in HEK293 cells. Conclusively, SARS-CoV-2 may expedite infusion by competing the fibrinolytic protease network with ENaC.
Online and Offline Mixed Teaching Mode Based on Multimedia Computer-Aided Music Lessons during the Epidemic
Authors: Ding Hongmei
Published: October 2022

In recent years, due to the repeated outbreak of the epidemic, the normal teaching of students has been affected, and many schools have conducted mixed online and offline teaching for students, so that students can carry out teaching activities anytime and anywhere without delaying course learning due to class suspension. This paper mainly studies the online and offline mixed teaching mode of multimedia computer-assisted music lessons under the epidemic situation and then selects two classes of students as experimental objects to carry out traditional online and offline teaching behaviors and online and offline teaching as the main, multimedia computer teaching as the main object, and compares the performance differences of the two classes in music courses to reflect the effect of multimedia computer-assisted online and offline teaching. This paper introduced the algorithm use of multimedia computer in detail and then applied it to teaching activities to improve the shortcomings of the existing teaching mode. In order to reflect the effect of the mixed teaching mode assisted by multimedia computer, this paper selected two classes of an experimental middle school to conduct experiments on their music class performance. Before the experiment, the algorithm was evaluated and tested, and the accuracy rate of the algorithm was 91.333%. By carrying out teaching activities in different modes and analyzing the data of the test results, it can be seen that the results of the teaching mode assisted by multimedia computer are much higher than the existing teaching mode. Compared with the traditional classroom learning, the scores of the first class in the music class under the two modes were 0.32 points and 4.74 points higher than those of the traditional classroom learning, and the second class was 0.25 points and 7.01 points higher, respectively. In terms of improvement rate, the improvement rates of Class 1 and Class 2 in the multimedia computer-assisted teaching mode were 6.593% and 9.432%, respectively, which indicated that multimedia computers played a positive role in the assisted mixed teaching mode.
In Silico, In Vitro, and In Vivo Wound Healing Activity of Astragalus microcephalus Willd.
Authors: Akbari Fatemeh , Azadbakht Mohammad , Bagheri Ali , Vahedi Lale
Published: October 2022

Background and Objectives. A wound is one of the high-prevalence disorders that affect people’s lives physically, mentally, and financially. This study examined the Astragalus microcephalus Willd. wound healing process in in vivo and in vitro conditions by focusing on the phytoestrogen activity of this extract. Methods. The methanolic root extract was prepared by maceration, and flavonoids were evaluated by LC/MS. In silico examination was performed based on the LC/MS results, and the binding affinity of these compounds to estrogen receptors (ERs) α and β was evaluated. Wound healing evaluation in both in vitro (NHDF cell line, by 500 μg/ml concentration of the extract, 24 h) and in vivo (Wistar rat, topical daily treated with 1.5% of the extract ointment, 21 days) conditions in comparison to control groups was conducted. Rats’ control groups included silver sulfadiazine, Vaseline, and the nontreated groups. Results. Eleven flavonoids were detected using LC/MS. The in silico study showed that formononetin, kaempferol-based structures, quercetin-3-O-neohesperidoside, and calycosin-7-O-beta-D-glucoside had a high affinity (<−6.3) to ERs α and β. Wound closing measurement showed significant improvement in the group treated with the extract in both in vitro and in vivo assays compared to the control groups. Histopathological results confirmed these findings; inflammation factors decreased, and fibroblast proliferation, fibrosis, and epithelization increased, especially in the extract group. Conclusion. This study shows that Astragalus microcephalus has wound healing activity in vitro and in vivo with low toxicity due to the presence of flavonoids, especially isoflavonoids, which show a high affinity to bind to ERs α and β in the skin tissue.
Multiobjective Three‐Level Supply Chain Management Problem Under Uncertainty Using Gravitational Search Algorithm
Authors: Lati Mojtaba , Aghajani Hassan Ali , Lotfi Mohammad Reza
Published: October 2022

A supply chain is a set of resources, facilities, customers, products, and methods of inventory control, purchasing, and distribution. Every manufacturer or distributor has a subset of the supply chain that they have to manage and implement beneficially and efficiently for their survival and growth. Therefore, the production and delivery of products in the proper amounts and at the right time is as important as minimizing costs as well as customer satisfaction. Considering these reasons, supply chain network optimization includes decisions from many different aspects. In this study, a single‐product three‐level supply chain with manufacturer‐customer loops is considered that customer demand, percentage of returned products from customers, and delivery time from manufacturers to customers are considered as fuzzy variables with uncertainty. Simultaneously considering the issues of selecting suppliers and distributors and determining the effective customers in the system is under uncertainty. This project aims to provide a model that, in addition to integrating the conflicting goals of the loops, also increases the number of uncertain parameters of the model. Therefore, the objectives of the proposed model are to maximize product quality; minimize total cost; minimize delivery time from distributors to customers; and maximize revenue from selling products to customers.
Deep Learning-Based Smart Hybrid Solar Water Heater Erection Model to Extract Maximum Energy
Authors: M L Bharathi , Sripriya T. , Muthuraj B. , Kumar D. Sateesh , Venkatesh V. , Sridevi Badireddy Satya , Krishna Munaga Masthan Siva , Rajan K. , Diriba Abdi
Published: October 2022

Currently, we are trying to get electricity in alternative ways. Many solar powered water heaters have come up to use water heaters. However, these tools are not 100 percent fully effective. The device we have manufactured is an automatic device that runs in the direction of sunlight. The device runs automatically in the morning facing east and in the evening facing west. In this instrument, the defective one-inch tube lamp and the three-quarter-inch tube lamp are put together and connected in series. In this paper, a smart deep learning model was proposed to improve the performance of the solar water heater. The gap between the tube lights is filled with methane gas, and the tube inside is filled with water. The water thus filled is heated by sunlight. Methane gas acts as a fast conductor of solar heat. An electronic control device is placed to determine the temperature of the hot water and to expel the hot water. This device can heat at least 10 liters of water in 15 minutes. Increasing the number of incandescent tube lights can heat up a large amount of water when this device is set up, or it can be designed by replacing tube lights with a series of large glass tubes using the same technology. This tool can be manufactured at low cost so that people from all walks of life can use it.
Towards SLA-Driven Autoscaling of Cloud Distributed Services for Mobile Communications
Authors: Miguel Carlos , Rampérez Víctor , Soriano Javier , Aljawarneh Shadi
Published: October 2022

In recent years cloud computing has established itself as the computing paradigm that supports most distributed systems, which are essential in mobile communications, such as publish-subscribe (pub/sub) systems or complex event processing (CEP). The cornerstone of cloud computing is elasticity, and today’s autoscaling systems leverage that property by making scaling decisions based on estimates of future workload to satisfy service level agreements (SLAs). However, these autoscaling systems are not generic enough, as the workload definition is application-based. On the other hand, the workload prediction needs to be mapped in terms of SLA parameters, which introduces a double prediction problem. This work presents an empirical study on the relationship between different types of workloads in the literature and their relationship in terms of SLA parameters in the context of mobile communications. In addition, more than 30 prediction models have been trained using different techniques (time series analysis, regression, random forests) to test which ones offer better prediction results of the SLA parameters based on the type of workload and the prediction horizon. Finally, a series of conclusions on the predictive models to be used as a first step towards an autonomous decision system are presented.
New Fifth-Kind Chebyshev Collocation Scheme for First-Order Hyperbolic and Second-Order Convection-Diffusion Partial Differential Equations
Authors: Mokhtar Mahmoud M. , El Dewaik M. H.
Published: October 2022

The fifth type of Chebyshev polynomials was used in tandem with the spectral tau method to achieve a semianalytical solution for the partial differential equation of the hyperbolic first order. For this purpose, the problem was diminished to the solution of a set of algebraic equations in unspecified expansion coefficients. The convergence and error analysis of the proposed expansion were studied in-depth. Numerical trials have confirmed the applicability and the accuracy.
Recognition of Continuous Music Segments Based on the Phase Space Reconstruction Method
Authors: Huang Xuesheng , Hu YanQing
Published: October 2022

Piano score recognition is one of the important research contents in the field of music information retrieval, and it plays an important role in information processing. In order to reduce the influence of vocals on the progress of piano notes and restore the harmonic information corresponding to piano notes, the article models the harmonic information and vocal information corresponding to piano notes in the frequency spectrum. We use the phase space reconstruction method to extract the nonlinear feature parameters in the note audio and use some of the parameters as the training set to construct the support vector machine (SVM) classifier and the other part as the test set to test the recognition effect. Therefore, the method of adaptive signal decomposition and SVM is introduced into the signal preprocessing link, and the corresponding recognition process is established. In order to improve the performance of the support vector machine, the article uses measurement learning method to obtain the measurement learning and uses the measurement learning to replace the Euclidean distance of the Gaussian kernel function of the support vector machine. The SVM method of adaptive signal decomposition and the SVM method of principal component analysis are introduced into the preprocessing process of the note signal, and then the preprocessed signal is reconstructed in phase space, and the corresponding recognition process is established. The method of directly reconstructing the phase space of the original signal has higher accuracy and can be applied to the note recognition of continuous music segments. The final experimental results show that, compared with the current popular piano score recognition algorithm, the recognition accuracy of the proposed piano score recognition algorithm is improved by 3.5% to 12.2%.
DNA Sequence Specificity Prediction Algorithm Based on Artificial Intelligence
Authors: Zhai Xiandun , Tuerxun Adilai
Published: October 2022

DNA sequence specificity refers to the ability of DNA sequences to bind specific proteins. These proteins play a central role in gene regulation such as transcription and alternative splicing. Obtaining DNA sequence specificity is very important for establishing the regulatory model of the biological system and identifying pathogenic variants. Motifs are sequence patterns shared by fragments of DNA sequences that bind to specific proteins. At present, some motif mining algorithms have been proposed, which perform well under the condition of given motif length. This research is based on deep learning. As for the description of motif level, this paper constructs an AI based method to predict the length of the motif. The experimental results show that the prediction accuracy on the test set is more than 90%.
[Retracted] Profound Effect of Pulmonary Surfactant on the Treatment of Preterm Infants with Respiratory Distress Syndrome
Authors: Liu Lin , Deng Quanmin
Published: October 2022

Inherited diseases caused by dysfunction of pulmonary surfactant metabolism or surfactant dysfunction have recently been considered the underlying causes of neonatal and pediatric respiratory diseases. Respiratory distress syndrome in premature infants is a common respiratory disease in pediatrics. It is caused by underdeveloped lungs in infants and a lack of active substances on the surface of the alveoli, which leads to insufficiency of lung function, which can lead to difficulty breathing, increased heart rate, facial bruising, and more. Neonatal Respiratory Distress Syndrome is a very dangerous disease with a high mortality rate and a great threat to children’s lives and health. Therefore, enough attention and treatment should be caused in clinical practice. Natural pulmonary surfactant (PS) has achieved positive effects in the treatment of neonatal respiratory distress syndrome (RDS), reducing neonatal mortality, the application of mechanical ventilation, and the occurrence of late complications. To further explore the role of pulmonary surfactants in the treatment of neonatal respiratory distress syndrome, to analyze the best time to use PS to prevent RDS, this paper has selected premature infants with RDS received by the neonatal department of a hospital in a province from March 2019 to October 2020 to compare the efficacy of pulmonary surfactant (PS) in preterm infants with respiratory distress syndrome (RDS). The experiment has found that the average mechanical ventilation time (5.1 d) and oxygen therapy time (7.3 d) in the early group are shorter than the average mechanical ventilation time (6.4 d) and oxygen therapy time (10.6 d) in the late group. It has been demonstrated that early administration of pulmonary surfactant (PS) therapy is of great help in improving respiratory distress syndrome in premature infants.
Impact of Uniaxial Mechanical Perturbation on Structural Properties and Smectite Porosity Features: Ion Exchanger Efficiency and Adsorption Performance Fate
Authors: Oueslati Walid , Mejri Chadha , Ben Haj Amara Abdesslem
Published: October 2022

The use of montmorillonite in the context of engineered barriers makes it possible to minimize the spread of heavy metals from industrial and even radioactive waste. An evaluation of the performance of the mechanisms controlling the clay‐environment interaction and predicting the dynamics/configuration of the interlayer space (IS) is required. This work focuses on a quantitative identification of the structural changes and porosity alteration in the case of heavy metal‐exchanged montmorillonite samples (Co2+ and Cd2+ cations) undergoing mechanical stresses (uniaxial oedometric test (loading/unloading)). Relationships between mechanical stress strength, intrinsic structural response, ion exchanger efficiency, and adsorption performance fate are investigated. This goal is achieved through the correlation of in situ quantitative X‐ray diffraction (XRD) analysis (under an extremely controlled atmosphere reached by varying relative humidity rate %rh) and porosity investigation (assured by combining outcomes from BET (Brunauer–Emmett–Teller) and BJH‐ (Barrett, Joyner, and Halenda‐) PSD (pore size distribution) analysis). Obtained results show an upsurge in the structural heterogeneities accompanying the theoretical increase in the mixed layer structure (MLS) number and developing an unconventional hydration behaviour after stress relaxation regardless of exchangeable cation nature. Experimental XRD patterns are reproduced using MLS, which suggests the coexistence of more than one “crystallite” specie and more than one exchangeable cation indicating a complex cation exchange capacity (CEC) saturation. For extremely low %rh value, a new homogeneous dehydrated state trend is observed in the case of the Co2+ cation. Porosity analysis shows mesopore volume growth for the stressed sample and confirms crystallite exfoliation layer trends, results of the layer cohesion damage, and subsequent constraint strength fluctuations.
Optimization and Simulation of Monitoring Technology of Blasting Rock Movement Trajectory Based on the Improved SVM Algorithm
Authors: Yu Jianyang , Liu Xiaobo , Wang Liancheng , Wu Hao
Published: October 2022

In most cases, the blasting object is the rock mass. Because the rock mass has the characteristics of anisotropy and inhomogeneity, there are often structural surfaces such as joints, fissures, faults, and weak interlayers, but details are basically impossible. Compared with the rock, these structural surfaces are weak parts, and the explosive energy required for breaking is smaller. It is difficult to take into account the existence of each weak side when the explosives are arranged in the blasthole. Therefore, after the explosive explodes in the rock mass, the explosive gas will first rush out from these weak parts, entraining individual fragments to form flying rocks. Aiming at the problem that it is difficult to accurately obtain the rock motion information in the blasting process of open-pit mines, this paper selects the kernel function to establish the support vector machine model and optimizes the parameters of the support vector machine model to obtain the optimal blasting rock trajectory prediction model. Under the protection of special protection devices, the information of the rock movement during the blasting process is collected at a higher frequency, and the analysis algorithm of the rock movement characteristics is researched on the basis of inertial navigation technology. The algorithm is used to analyze and output the rock movement. The curve of velocity, position, and kinetic energy provides a theoretical and technical basis for the study of rock movement law in the blasting process of open-pit mines. Through the experimental analysis, based on the cross-validation method, through the support vector machine model parameter optimization and comparison evaluation parameters, the optimal prediction model of the blasting rock trajectory is obtained as the support vector machine model based on the radial basis kernel function. The mean value of root mean square error and mean absolute error of this model are 0.102 and 0.0674, respectively, and the performance is the most robust among the three types of models.
Relational Graph Construction Method and Information Management System Based on the Relational Graph Convolutional Network
Authors: Dong Yun , Zhang Xixiang , Liang Zhongfeng , Liu Chao , Qin Liming
Published: October 2022

The Internet is like a huge neural network that is thought to be built, linking all the information in the human brain, and the communication between people is a part of the communication in the whole society. Social products are the medium of communication between people, so the efficiency of social products directly affects the efficiency of people and even the whole society. This paper mainly focuses on social applications as the object to carry out research. This paper is dedicated to optimizing the user experience and social experience of mobile social products, optimizing the design strategies of each process of social products, and exploring the possibility and development direction of social products in the future. Firstly, it conducts in-depth research on the related theories of human social behavior based on the social relationship graph and summarizes the factors that affect the intimacy between nodes in the social relationship graph. Then, it discusses the role of these factors in designing social products and studies how to apply these factors to all aspects of product development. Then, this design method using intimacy factor is abstracted and summarized into a design model, which is convenient for product developers to understand and use. Finally, the practice shows that the mobile social design method based on the social relationship graph can effectively guide the design of mobile social products and provide users with an intimate and efficient social experience that can meet the social needs of users. The accuracy rate is effectively improved by 21%, which proves the value and prospect of the research, design, and development of this topic in the field of mobile social products.
Influence of Carbon Dioxide on the Glass Transition of Styrenic and Vinyl Pyridine Polymers: Comparison of Calorimetric, Creep, and Rheological Experiments
Authors: Harden Felix , Kargar Mahboubeh , Handge Ulrich A.
Published: October 2022

The glass transition of amorphous polymers determines the mobility of polymer chains and the time scale of relaxation processes. The glass transition temperature is reduced by the presence of low molecular weight molecules, e.g., dissolved gases or organic solvents. The quantitative knowledge of reduction of the glass transition temperature caused by the addition of carbon dioxide in a polymer melt is highly relevant for foam extrusion. However, measurement of the reduction of glass transition temperature caused by gas loading has to be performed under elevated pressure which implies high experimental efforts. In this work, we discuss and compare three methods for determination of the influence of carbon dioxide on thermal properties of amorphous polymers, i.e., calorimetric measurements, creep tests, and rheological experiments. The advantages and disadvantages of these methods are elucidated. Furthermore, the influence of molecular structure of the styrenic and vinylpyridine polymers on the glass transition temperature is discussed. Polystyrene generally shows the highest reduction of glass transition temperature. Poly(2-vinylpyridine) and poly(4-vinylpyridine) show a slightly less pronounced behaviour in comparison to polystyrene because of the lower polarity of polystyrene. Poly(α-methyl styrene) is associated with a different dependence of glass transition temperature on gas loading in calorimetric and rheological experiments.
Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients
Authors: Xu Chan , Liu Wencai , Yin Chengliang , Li Wanying , Liu Jingjing , Sheng Wanli , Tang Haotong , Li Wenle , Zhang Qingqing
Published: October 2022

Purpose. Since the prognosis of renal cell carcinoma (RCC) patients with bone metastasis (BM) is poor, this study is aimed at using big data to build a machine learning (ML) model to predict the risk of BM in RCC patients. Methods. A retrospective study was conducted on 40,355 RCC patients in the SEER database from 2010 to 2017. LASSO regression and multivariate logistic regression analysis was performed to determine independent risk factors of RCC-BM. Six ML algorithm models, including LR, GBM, XGB, RF, DT, and NBC, were used to establish risk models for predicting RCC-BM. The prediction performance of ML models was weighed by 10-fold cross-validation. Results. The study investigated 40,355 patients diagnosed with RCC in the SEER database, where 1,811 (4.5%) were BM patients. Independent risk factors for BM were tumor grade, T stage, N stage, liver metastasis, lung metastasis, and brain metastasis. Among the RCC-BM risk prediction models established by six ML algorithms, the XGB model showed the best prediction performance (

AUC
=
0.891

). Therefore, a network calculator based on the XGB model was established to individually assess the risk of BM in patients with RCC. Conclusion. The XGB risk prediction model based on the ML algorithm performed a good prediction effect on BM in RCC patients.
IoT-Based Solar Energy Measurement and Monitoring Model
Authors: Chitra L. , Gowri N. Vasantha , Maheswari M. , Uike Dipesh , Medikondu N. R. , Al-Ammar Essam A. , Metwally Ahmed Sayed Mohammed , Islam Ataul , Diriba Abdi
Published: October 2022

In the early days, greenhouse energy did not pay much attention to coating inspections and new applications, spending more attention on repair solar energy projects instead. However, these attitudes have recently changed. Energy producers realize that preventing corrosion and deterioration is less expensive than solving the greenhouse problems when they occur. The proposed model also provides coating, paint control, and error analysis services within the scope of solar machinery and equipment-related services while the greenhouse equipment reached a low energy level. The greenhouse monitoring services ensure that a solar plant is economical, reliable, and of high quality, meets legal requirements, conforms to standards published by domestic and foreign organizations, and determines conditions that cause short circuits or power outages. In this context, with the help of cloud computing-based Internet of things (IOT), the industrial power stations, high-voltage substations, low-voltage networks, power stations that comply with legal regulations on safety from electricity, electrical installations for machinery, alarm systems, fire alarm systems, cathodic corrosion protection mechanisms in oil tanks and pipelines, emergency power supply installations, electrical installations in buildings, and gas alarm systems are inspected and documented.
Evaluation of High-quality Development of Shaanxi’s Economy Based on Digital Economy Based on Machine Learning Algorithm
Authors: Wang Lina
Published: October 2022

With the strong development of industrial transformation, the digital economy, as the most dynamic, innovative, and widely radiated economic form at present, has become an important force driving the development of the global economy. Shaanxi Province has accelerated the development of the digital economy, and the development of the province’s digital economy has shown a good trend. However, the current digital economy development measurement is still unable to accurately observe the development law of the digital economy industry, which makes it difficult to measure the control standards for the digital economy industry. Therefore, this study has evaluated the development of digital economy in Shaanxi Province based on machine learning algorithms. This study first puts forward the dimensions of digital economy monitoring and evaluation and then combines the characteristics of digital economy development in Shaanxi Province to determine the quality evaluation indicators of digital economy development. Finally, according to the machine learning algorithm, a quality evaluation model of digital economy development was established, and through the evaluation results, suggestions were put forward for the development plan of digital economy in Shaanxi Province. The experimental results showed that, after re-planning the digital economy in Shaanxi Province according to the evaluation results, the development of the digital economy in Shaanxi Province has increased by 9.82%, indicating that the evaluation model plays a good reference role in the formulation of the digital economy development plan.