bluuebunny/crossref_metadata_2025 huggingface dataset:
Assisting the management of digital library in Tegal Harum Village Denpasar
Authors: Lestari Denok , Supartini Ni Luh , Sulasmini Ni Made Ayu , Putra I Putu Edy Suardiyana
Published: September 2022

This community service activity under the scheme of applying science and technology for the community is in partnership with the village of Tegal Harum, Denpasar Bali, in the field of digital library management. The Sastra Mahottama Library in Tegal Harum Village, apart from providing conventional services, also provides digital library services through the SIPESAT application (Digital Library Application) in Tegal Harum Village, which makes it easier for people to borrow various types of e-books according to their needs. Problems faced by the library managers are related to the classification and cataloguing of library materials, as well as increasing the capacity of human resources for digital library managers. The implementation using the classical and individual methods lasts for one month at the Tegal Harum village office. Activities consist of situation analysis, training, and evaluation stages. The implications of service activities are the results of the classification and cataloguing of 30% of reading collections as well as increasing knowledge and skills in using digital library applications.
Examining the factors affecting the decision processes on the accuracy of information of preservice teachers in social media
Authors: KILIÇER Kerem
Published: September 2022

The purpose of this study was to examine information sharing on social media platforms (facebook, twitter, instagram, youtube, etc.) in terms of the accuracy of information. Within the scope of this study, the effect of systematic (argument quality, validity, aspect) and heuristic (expertise, popularity, trustworthiness) clues, which are thought to have an impact on the decision process of preservice teachers regarding the accuracy of information on social media platforms and the effect of the decision regarding the accuracy of the information on the attitude towards the information were investigated. The results of the study revealed that popularity and argument quality had significant influence on the decision-making and behavior development process of the students attending a teacher-training program, who were regarded as preservice teachers, by processing the information shared on social media. In addition, it was seen that there was a strong and positive relationship between the attitude towards the information shared on the social media and the perception of the accuracy of the information shared on the social media.
Investigation of the effect of guided inquiry approach supported by digital stories on attitude towards inquiry
Authors: BERİKA KANSOY Merve , SERT ÇIBIK Ayşe
Published: September 2022

This study aims to examine the effects of inquiry activities supported by digital storytelling on the attitudes of 6th-grade students towards inquiry, sub-dimensions of attitudes, and the change of attitudes depending on gender. The method of the study was determined as the embedded design, one of the mixed method research designs. The study was carried out with a total of 27 students, 12 female and 15 male. In the quantitative dimension of the study, one group pretest-posttest research design was used. Quantitative data were obtained through the Attitude Scale towards Research-Questioning. The qualitative dimension of the study was designed as a case study model. Qualitative data were obtained by using researcher diaries, student group diaries, and semi-structured weekly focus group interviews. As a result, a statistically significant difference was found between the students’ ASTRQ pretest-posttest scores in favor of the posttest. Similarly, a statistically significant difference was found between the pre-test and post-test scores of the sub-factors of signification and avoiding, excluding the curiosity factor, in the attitude scale. These results were also supported by the findings obtained from qualitative measurement tools. The students’ ASTRQ post-test scores differed statistically according to gender, which was in favor of female students.
Always with me even from a distance: Teachers' technology usage skills before and after distance education
Authors: YÜNKÜL Eyup
Published: September 2022

The aim of this research is to determine the teachers’ skills of technology use before and after distance education. Semi-structured interview technique was used as qualitative research methods.. The multi-stage sampling method was used in the selection of the teachers participating in the research. Descriptive and content analysis techniques were used in the analysis process of the data obtained from the interviews with the teachers. Accordingly, teachers thought that technology is being frequently used in learning environments after the pandemic. They also stated that the application they use most in their courses is Education Information Network (EBA). According to the findings, it has been suggested that teachers should receive in-service training in online education.
Introducing a smart phone-based travel survey application
Authors:   University of Moratuwa, Sri Lanka, Jeeewanthi Bhagya , Kumarage Amal ,   University of Moratuwa, Sri Lanka, Rathnayaka Ayesha ,   University of Moratuwa, Sri Lanka, Perera Amal Shehan ,   University of Moratuwa, Sri Lanka
Published: September 2022

Travel demand models, which are simplified representations of the real-world trip decision making processes, involve a series of steps that attempt to simulate complex human behaviour.
Scholarly Output : 2015 ++
Authors:   University of Moratuwa, Sri Lanka, Dias Dileeka
Published: September 2022

A single slide from a presentation entitled “Research Outputs of Sri Lanka and How Expats Can Help” by Prof. Saman Halgamuge of the University of Melbourne, in June 2021 sparked interest among the University of Moratuwa community. This slide reproduced as Figure 1, shows the University of Moratuwa moving from one league to another in respect of Scholarly Output during the period 2015 – 2020. A passing remark by me about possible influencing factors made the Dean, FGS pursue me relentlessly until I wrote this article.
The SiTa Trilingual Translation System
Authors:   University of Moratuwa, Sri Lanka, Perinpanathan Thanuja , Dias Gihan ,   University of Moratuwa, Sri Lanka
Published: September 2022

The National Languages Processing Center (NLPC), at the University of Moratuwa has been developing the SiTa Computer-Assisted Translation System since 2018.
The role of neoadjuvant denosumab in the treatment of aneurysmal bone cysts: a case series and review of the literature
Authors: Giantini-Larsen Alexandra M. , Chakravarthy Vikram B. , Barzilai Ori , Newman William Christopher , Wexler Leonard , Bilsky Mark H.
Published: September 2022

OBJECTIVE

Aneurysmal bone cysts (ABCs) are benign cystic lesions most commonly occurring in the long bones of pediatric patients. Spinal ABCs may be difficult to resect given their invasive, locally destructive nature, proximity to critical structures such as the spinal cord, and their intrinsic hypervascularity, for which complete embolization is often constrained by radiculomedullary segmental feeders. Denosumab, a monoclonal antibody that binds the receptor activator of nuclear factor kappa B (NF-κB) ligand, has been utilized in the treatment of ABCs most often as a rescue therapy for recurrent disease. Here, the authors present 3 cases of neoadjuvant denosumab use in surgically unresectable tumors to calcify and devascularize the lesions, allowing for safer, more complete resection.

METHODS

This is a single-center, retrospective case series treated at a tertiary care cancer center. The authors present 3 cases of spinal ABC treated with neoadjuvant denosumab.

RESULTS

All 3 patients experienced calcification, size reduction, and a significant decrease in the vascularity of their ABCs on denosumab therapy. None of the patients developed new neurological deficits while on denosumab. Subsequently, all underwent resection. One patient continued denosumab during the immediate postoperative period because a subtotal resection had been performed, with stabilization of the residual disease. No complications were associated with denosumab administration.

CONCLUSIONS

The use of denosumab in unresectable ABCs can cause calcification and devascularization, making safe resection more likely.
Incidence and causes of instrument-related complications after primary definitive fusion for pediatric spine deformity
Authors: Demura Satoru , Ohara Tetsuya , Tauchi Ryoji , Takimura Kosuke , Watanabe Kota , Suzuki Satoshi , Uno Koki , Suzuki Teppei , Yanagida Haruhisa , Yamaguchi Toru , Kotani Toshiaki , Nakayama Keita , Watanabe Kei , Yokogawa Noriaki , Oku Norihiro , Tsuchiya Hiroyuki , Yamamoto Takuya , Kawamura Ichiro , Taniguchi Yuki , Takeshita Katsushi , Sugawara Ryo , Kikkawa Ichiro , Sato Tatsuya , Fujiwara Kenta , Akazawa Tsutomu , Murakami Hideki , Kawakami Noriaki , _ _
Published: September 2022

OBJECTIVE

Various complications have been reported in the treatment of pediatric spinal deformities. Among these, instrument-related complications could be critical concerns and risks of reoperation. This study aimed to identify the incidence and causes of complications after primary definitive fusion for pediatric spine deformities.

METHODS

The authors retrospectively collected data from 14 institutions about patients who underwent primary definitive fusion between 2015 and 2017. There were 1490 eligible patients (1184 female and 306 male), with a mean age of 13.9 years. The incidence, causes, and reoperation rates were analyzed according to 4 etiologies of pediatric spine deformity (congenital, neuromuscular, syndromic, idiopathic). The complications were also categorized as screw-, hook-, or rod-related complications, implant loosening or backout, and junctional problems.

RESULTS

The incidence of overall instrument-related complications was 5.6% (84 cases). Regarding etiology, the incidence rates were 4.3% (idiopathic), 6.8% (syndromic), 7.9% (congenital), and 10.4% (neuromuscular) (p < 0.05). The most common causes were pedicle screw malposition (60.7%), followed by implant backout or loosening (15.4%), junctional problems (13.1%), rod breakage (4.8%), and other complications (6.0%). Univariate analysis showed that etiology, type of deformity (kyphosis), surgical procedure, operation time, and estimated blood loss were significant factors. Multivariate analysis revealed that etiology (neuromuscular), surgical procedure (combined approach), and operation time (> 5 hours) remained as significant risk factors. Among all patients with instrument-related complications, 45% (38/84) required revision surgery. Of these cases, > 50% were related to pedicle screw malposition. Medial breach was the most common complication regardless of location, from upper thoracic to lumbar spine.

CONCLUSIONS

Pedicle screw malposition was the primary cause of overall complications and subsequent reoperation. In addition to more precise screw insertion techniques, meticulous confirmation of pedicle screw placement, especially of medial breach, may reduce the overall instrument-related complications and revision rates.
ІДЕНТИФІКАЦІЯ РИЗИКІВ ЯК СКЛАДОВА ПРОЦЕСУ УПРАВЛІННЯ РИЗИКАМИ В БІЗНЕСІ
Authors: Oliinyk O. O.
Published: September 2022

В статті досліджено сутність та складові процесу управління ризиками.  Визначено, що одним з основних етапів процесу управління ризиками є їхня ідентифікація – встановлення переліку основних видів ризиків. Проаналізовано підходи організацій в Україні до ідентифікації ризиків. Визначено найбільш поширені методи ідентифікації ризиків.
УПРАВЛІНСЬКИЙ ОБЛІК БУДІВЕЛЬНИХ ПІДПРИЄМСТВ: ХАРАКТЕРНІ ОСОБЛИВОСТІ ОРГАНІЗАЦІЇ ТА ВЕДЕННЯ
Authors: Pavelko О. V. , Vlasiuk I. I. , Popchuk D. O.
Published: September 2022

У статті досліджено характерні особливості організації та ведення управлінського обліку будівельних підприємств. Проаналізовано динаміку фінансового результату діяльності будівельних  підприємств в Україні за 2014–2020 рр. Розглянуто ідентифікацію  сутності управлінського обліку, запропоновано власне його визначення. Окреслено вплив особливостей будівництва на організацію  та ведення управлінського обліку. Досліджено функції управлінського  обліку в системі управління будівельним підприємством. Запропоновано  можливу структуру відділу управлінського обліку в будівництві.  Розглянуто методи обліку витрат, які традиційно використовуються  будівельними підприємствами, та окреслено завдання системи  ціноутворення в будівництві. Висвітлено основні характеристики  формування облікової системи будівництва.
СТРАТЕГІЧНЕ УПРАВЛІННЯ РОЗВИТКОМ СПОРТУ ЯК БІЗНЕСУ В УКРАЇНІ
Authors: Beztelesna L. I. , Palamarchuk O. S. , Koziichuk V. S.
Published: September 2022

У статті розглянуто соціально-економічну роль спорту в національній та світовій економіці. Відображено обсяги та структуру фінансування спорту в Україні. Виокремлено тенденції, що характерні для фінансування фізкультури та спорту в Україні та світі та зазначено причини їх прояву. Обґрунтовано, що спорт є бізнесом у сфері видовищ і розваг.Доведено, що подальше стратегічне управління розвитком спорту як бізнесом вимагає використання не лише фінансових, але й інформаційних ресурсів. Великий обсяг кількісної та якісної інформації, отриманої зі складних і динамічних ситуацій у спорті,  необхідно ретельно поширювати та чітко представляти.Визначено, що ефективна співпраця бізнесових структур із сферою спорту забезпечується через залучення технічного та фінансового ступенів спонсорства. Цікавість до спорту як бізнесу в Україні зростає, особливо серед регіональних інвесторів, і лише за реалізації професійного менеджменту спорт може стати однією з точок зростання бізнесу в регіоні. Виявлено, що участь у спортивному житті приватних спонсорів немає системного характеру, а тому не змінює ситуацію загалом, хоча і створює деякі успішні феномени в окремих видах спорту.Показано, що на сьогодні левова частка професійних та навіть любительських вітчизняних футбольних клубів мають спонсорськіконтракти та продають рекламу.Доведено, що подальший розвиток спорту як видовищного і розважального бізнесу вимагає використання інструментів аналітики для прогнозування і моделювання спортивних подій.
PROBLEMS SOLUTION BASED ON PARAMETER DIFFERENTIATION METHOD
Authors: Korovaytseva E.A.
Published: September 2022

Criterion of hyperelastic soft shell deforming nonlinear problem numerical solution continuation uniqueness assessment is suggested in the work. The criterion can be used when carrying out calculations. It is based on investigation of properties of Jacobi matrix of linear algebraic equations system which is formed when using parameter differentiation method. This method allows reducing nonlinear boundary value problem solution to a couple of quasilinear boundary value and nonlinear initial problems and applying initial parameters method of solving linear boundary value problems. For assessment of solution continuation uniqueness in each point of integration interval one needs controlling magnitudes of resolving differential equation system right-hand sides vector components, as well as calculating determinant and rank of Jacobi matrix of algebraic equations system formed as a result of initial parameters method using, and expanded Jacobi matrix rank calculation.

For testing suggested criterion the problem of neohookean material hemisphere static inflation by uniformly applied pressure is considered. Solution of this problem as certain values of numerical algorithm parameters leads to various calculation difficulties – calculation stability loss, big errors of calculation results, non-uniqueness of solution which reason requires additional investigations. It is shown that in the points, where mentioned difficulties are met, determinateness conditions for the function of right-hand sides of differential equation system formulated within the framework of the suggested criterion are broken.
ON THE VIBRATIONS OF FUNCTIONALLY GRADED ELECTROELASTIC RODS
Authors: Vatulyan A.O. , Yurov V.O.
Published: September 2022

The problems of steady-state vibrations of functionally graded electroelastic rods for two types of polarization were investigated. The functional gradient is characterized by a change along the longitudinal coordinate of the isothermal elastic compliance and the piezoelectric modulus. The linear, quadratic and exponential laws of inhomogeneity are used in the work. To simulate damping, a model of a standard viscoelastic body was used, which is used within the framework of the concept of complex modules. For the numerical solution of the tasks set, the shooting method was applied. In order to verify the computational scheme, an exact solution of the problem is constructed for the case of constant properties. An analysis of the influence of the laws of inhomogeneity was carried out for laws that have the same mean integral values. The amplitude-frequency characteristics of current and conductivity are constructed. Antiresonances are investigated, the presence of two types is established, depending on the laws of inhomogeneity. An asymptotic analysis of the problem is performed for the case of low frequencies. It is shown that in the low-frequency range, the mechanical longitudinal stress depends only on the law of change in the piezoelectric modulus, while the displacement also depends on the law of change in elastic compliance. As a result of computational experiments, the features of the current's amplitude-frequency characteristic (AFC) structure in the vicinity of the second resonance were revealed. The AFC has a different quality factor depending on whether the compliance functions and the piezoelectric modulus have the same or different types of monotonicity. It is revealed that the first resonance from the frequency range under consideration has low sensitivity to the laws of inhomogeneity, and the third resonance is affected sufficiently by the inhomogeneity laws and can be used to determine the type of monotonicity when solving inverse problems on reconstructing properties.
NON-DESTRUCTIVE TESTING OF MATERIAL CONDITION FRICTION STEAM OF WWER PUMPS
Authors: Erofeev V.I. , Ilyakhinskii A.V. , Rodyushkin V.M. , Ilyakhinskii I.A. , Pichkov S.N. , Khlybov A.A.
Published: September 2022

The possibility of using non-destructive methods for monitoring the state of silicon carbide materials in friction pairs of pumps of WWER installations has been experimentally demonstrated which makes it possible to identify potential sites of future possible destruction on the working surface of bearings. The paper describes the methodology for studying the acoustic properties and electrical conductivity of products made of silicon carbide composite. The relationship between the electrical conductivity and acoustic parameters of the material of friction pairs of WWER installations with the characteristics of the microstructure of the material under study has been experimentally established. As the hardware part of the emission and reception of acoustic pulses Krautkramer USN 52 device certified by the State Standard of Russia with emitters and receivers of longitudinal and transverse waves was used. To assess the electrical conductivity a VT2 eddy current electrical conductivity meter with a 5 kHz clamp-on transducer was used which has a pointer transducer with a uniform scale not graduated in electrical conductivity units as an indicator device. Measurements of the electrical conductivity and velocity of longitudinal and transverse waves polarized along the radius at the same points of the working surface of the bearing showed the coincidence of the nature of the change in the measurement results. In this case, if the excess of the value of the velocity of longitudinal waves in the fracture zone over the average value for the entire working surface of the bearing is up to 30%, then for electrical conductivity it is 40%. By measuring the velocities of transverse waves with polarization parallel and perpendicular to the radius, the presence in the material of bearings that have not passed tests under conditions of high pressure and temperature of significant internal stresses provoking the appearance of destruction (chips) on the working surface has been established.
INVESTIGATION OF THE EFFECT OF THE STRAIN RATE ON THE TENDENCY OF U8 CARBON STEEL TO STRAIN AGING
Authors: Nagicheva G.S. , Nokhrin A.V. , Melekhin N.V. , Berendeev N.N. , Bragov A.M. , Balandin V.V. , Gundorin V.V. , Kurepin S.A. , Smirnov A.S.
Published: September 2022

The effects of the strain rate and degree on the scale of the strain aging effect in carbon steel U8 with lamellar pearlite microstructure, which is a eutectoid mixture of ferrite plates and brittle plates of secondary cementite Fe3C have been investigated. The microstructure and properties of Russian steel U8 after quasistatic compression, dynamic compression (shock processing), and explosion processing have been investigated. A low-temperature annealing (150–500 °C) of the non-deformed steel U8 has been shown to result in a monotonous reduction of hardness. The quasistatic compression and shock processing of the carbon steel were found to result in the strain aging manifested as an increasing hardness at annealing of the deformed steel U8. The increasing of the deformation degree and strain rate was accompanied by the increasing of hardness of the annealed steel. The explosion treatment was shown not to result in a notable improvement of the mechanical properties of carbon steel as well as in a change of the morphology of cementite plates. The deformation aging effect in steel U8 after the explosion loading was absent. The strain aging effect in U8 steel after quasistatic compression and dynamic loading was suggested to originate from an increasing of the lattice dislocation density, the long-range internal stress fields from which lead to the dissociation of the cementite Fe3C plates and to increasing of the concentration of carbon atoms in the ferrite crystal lattice. The absence of the strain aging effect in the carbon steel after the explosion loading is due to a small degree of the explosion deformation that doesn't allow providing an essential increasing of the lattice dislocation density in ferrite.
INVESTIGATION OF DYNAMIC PROPERTIES OF WOOD UNDER UNIAXIAL COMPRESSION
Authors: Yuzhina T.N.
Published: September 2022

The paper presents the results of an experimental study of dynamic deformation and fracture of pine samples under compression under uniaxial stress conditions. The experiments were carried out using the classical version of the Kolsky method. Dynamic tests of pine samples cut in three directions relative to the fibers were carried out: along and across and at an angle of 45 degrees. At least three modes of loading intensity (strain rate) are implemented for each orientation of the sample. Within each mode, at least five repeated tests were carried out with the averaging of the data obtained and the determination of the scatter characteristics. As a result of the experimental study for each tested sample, time dependences of strain, stress, strain rate of the samples were obtained, deformation diagrams were constructed. The analysis of the data obtained made it possible to determine the strain rate dependences of the ultimate strains, ultimate stresses, as well as the time of the beginning of fracture (lifetime). For each direction of sample cutting, the dependences of the dynamic increase factor on the strain rate are obtained. It is shown that the strain rate significantly affects the strength and deformation characteristics of pine. A tendency to increase the ultimate values of strains and stresses with an increase in the strain rate is obtained. At the same time, the time of the beginning of fracture decreases. The influence of the loading direction of the sample relative to the orientation of the fiber was also significant. The most durable is the direction along the fiber. The dynamic increase factor for the studied directions on the right limit of the realized strain rate range was about 3. The data presented in the work can be used in the tasks of assessing the dynamic strength of structural elements made of pine.
Topological asymptotic expansion for the full Navier–Stokes equations
Authors: Hassine Maatoug , Chaouch Sana
Published: September 2022

This paper is concerned with a topological sensitivity analysis for the two dimensional incompressible Navier–Stokes equations. We derive a topological asymptotic expansion for a shape functional with respect to the creation of a small geometric perturbation inside the fluid flow domain. The geometric perturbation is modeled as a small obstacle. The asymptotic behavior of the perturbed velocity field with respect to the obstacle size is discussed. The obtained results are valid for a large class of shape fonctions and arbitrarily shaped geometric perturbations. The established topological asymptotic expansion provides a useful tool for shape and topology optimization in fluid mechanics.
Microbiota-Gut-Brain Axis Regulation of Adult Hippocampal Neurogenesis
Authors: Guzzetta Katherine E. , Cryan John F. , O’Leary Olivia F.
Published: September 2022

The birth, maturation, and integration of new neurons in the adult hippocampus regulates specific learning and memory processes, responses to stress, and antidepressant treatment efficacy. This process of adult hippocampal neurogenesis is sensitive to environmental stimuli, including peripheral signals from certain cytokines, hormones, and metabolites, which can promote or hinder the production and survival of new hippocampal neurons. The trillions of microorganisms resident to the gastrointestinal tract, collectively known as the gut microbiota, also demonstrate the ability to modulate adult hippocampal neurogenesis. In doing so, the microbiota-gut-brain axis can influence brain functions regulated by adult hippocampal neurogenesis. Unlike the hippocampus, the gut microbiota is highly accessible to direct interventions, such as prebiotics, probiotics, and antibiotics, and can be manipulated by lifestyle choices including diet. Therefore, understanding the pathways by which the gut microbiota shapes hippocampal neurogenesis may reveal novel targets for non-invasive therapeutics to treat disorders in which alterations in hippocampal neurogenesis have been implicated. This review first outlines the factors which influence both the gut microbiome and adult hippocampal neurogenesis, with cognizance that these effects might happen either independently or due to microbiota-driven mechanisms. We then highlight approaches for investigating the regulation of adult hippocampal neurogenesis by the microbiota-gut-brain axis. Finally, we summarize the current evidence demonstrating the gut microbiota’s ability to influence adult hippocampal neurogenesis, including mechanisms driven through immune pathways, microbial metabolites, endocrine signalling, and the nervous system, and postulate implications for these effects in disease onset and treatment.
Garment image style transfer based on deep learning
Authors: Wang Jing
Published: September 2022

Before neural networks, image style transfer procedures had a common idea: analyze images with a certain style, build a mathematical or statistical model for the style, and then change the image to be transferred, so that it better fits the established model. In this paper, k-means and semantic closed natural matting algorithm is combined for image segmentation, the style and content in the image are extracted based on neural network, and the resulting image is synthesized by image reconstruction technology to realize the migration of national costume styles. Due to the serious artifacts of the output image, an improved image style transfer algorithm is adopted to constrain the transformation from the input image to the output image in the local affine transformation of the color space, and this constraint is expressed as a completely differentiable parameter term, image distortion is suppressed effectively. In the process of real photo style transfer, there is also space inconsistency. Smoothing is done to ensure that the space style is consistent after style processing, it greatly speeds up the operation speed. On NVIDIA GTX1080TI graphics card, algorithm is tested with 256×256 resolution images. It includes three indicators of average running time, memory usage and the number of styles generated by a single model, which are 0.06 s, 136.06 MB and 1 respectively. These indicators can reflect the efficiency and flexibility of the algorithm.
Location problem of logistics center under uncertain environment
Authors: Yang Yulin , Sheng Yuhong
Published: September 2022

The contradiction between logistics and distribution capacity and people’s increasing demand has attracted more and more attention from all walks of life. At present, there are many problems and deficiencies in logistics in China. This paper establishes the location model of the national supply chain logistics center, taking the vegetable logistics distribution as an example. Based on the principle of maximum satisfaction and satisfying demand, a vegetable material flow location model with the ability to predict the annual yield of vegetables is proposed by using the advantages of Holt’s linear trend method and immune algorithm in solving multi-objective optimization problems. Finally, the algorithm is applied to select the optimal logistics center in 31 provinces in China to maximize customer satisfaction. Thus, Chengdu, Guangzhou, Nanchang, Nanjing, Shijiazhuang, and Changchun re used as vegetable logistics centers.
Using the two optimization algorithms (BBO and FDA) coupling with radial basis neural network to estimate the compressive strength of high-ultra-performance concrete
Authors: Wu Mengmeng
Published: September 2022

Using Ultra-High Performance Concrete (UHPC) as the highly resistant material is widely advised in constructing sensitive structures to enhance safety. The utilization of eco-friendly contents such as fly-ash and silica-fume replacing cement can decrease the pollution rate in the production process of concrete and improve the compressive strength (CS) factor. There are many ways to appraise the CS of concretes as empirically and mathematically Artificial Neural Networks (ANN) as the high-accurate model is used in the present study. In this regard, Radial Basis Function (RBF) coupling with Biogeography-Based Optimization (BBO) and Flow Direction Algorithm (FDA) created the two high-accurate frameworks: BBO-RBF and FDA-RBF. Enhancing the accuracy of RBF to predict the CS and decreasing the ANN net complexity leads to having better results evaluated by various metrics. Therefore, using the proposed frameworks, the correlation index of R2 to model the CS in the training phase for FDA-RBF was calculated at 0.9, although BBO-RBF could get 0.85, with a 0.5% difference. However, the RMSE of FDA-RBF was 9 MPa, and for BBO-RBF, this index was calculated at 10 MPa the former model has about three percent more accuracy than the latter.
Improvement of life time for wireless body sensor networks using optimal clustering and routing protocol
Authors: Chitra Singaram , Kannan Samikannu , Sundar Raj Annadurai
Published: September 2022

Medical advancements are being made in order to extend the lifespan of mankind. In the medical field, the penetration of Wireless Sensor Networks (WSN) can aid doctors in diagnosing patients accurately and prescribing the medications accordingly. In recent times, several people have permanent implants such as face makers and it is threatening to life to keep altering this body enhancement as well as it is required to possess a system in place to improve the performance of the Wireless Body Sensors. Transmission loss and route loss are two important elements that will drag the battery energy and minimizes its life span. This research proposes optimal clustering and path selection protocol to enhance the lifetime of wireless body sensor networks. Initially, the data is collected from each body sensor through a clustering method called Glow-worm Swarm Optimization (GSO) and the Fruit-fly technique is applied to find the best path. Here, the cluster head is selected with the help of GSO that minimizes the energy consumption as well as enhances the lifetime of WBSN. Further, the best path is identified by the FFO using the fitness value that is measured within the nodes on the basis of the distance. Since hybrid technology is used here, the routing accomplished is shown to be better. The results reveal that the proposed model has improved the sensor life term (95 sec) while compared with other existing methods like PSO with FFO (78 sec), ACO with FFO (77 sec), GA with FFO (76 sec), and LEACH (68 sec) algorithm for 500 nodes.
Capillary water absorption values estimation of building stones by ensembled and hybrid SVR models
Authors: Zhao Guiping , Wang Hongmei , Li Zhanfa
Published: September 2022

The absorption of capillary water is one of the most crucial factors in the flow of groundwater in rocks (CWA). Although meticulous experimental studies are needed to determine a rock’s CWA, predictive techniques might cut down on the expense and effort. There are various data mining methods for this purpose, but the considered algorithms in this study were not proposed so far for predicting the CWA. Different rock samples were taken for this purpose from various locations, yielding diverse rocks. For the prediction procedures, four support vector regression (SVR) models were created: a traditional SVR, two ensembled models, and a hybrid SVR model using the whale optimization technique (WOA - SVR). Results show that all models have acceptable performance in predicting the CWA with R2 larger than 0.797 and 0.806 for the training and testing data, respectively, representing the acceptable correlation between observed and predicted values. Regarding developed models, the conventional SVR model has the worst performance of all models. All statistical evaluation criteria were improved by assembling models, which present the ability of additive regression and bagging predictions in improving prediction processes. The hybrid WOA - SVR model has the best performance considering all indices. This hybrid model could also gain the lowest values of error indices between all SVR models, which leads to outperforming the WOA - SVR model compared to other methods.
An empirical analysis of vulnerability information disclosure impact on patch R&D of software vendors
Authors: Xiong Qiang , Lian Shuai , Zeng Zhangying , He Runxin , Zhu Binxin , Yang Xinqi
Published: September 2022

The vulnerability patch R&D has become an important part of information security governance. An effective collaboration with software vendors in patch R&D is of great significance to reduce the existence time of information security risks. This works aims to explore the relationship between vulnerability information disclosure and patch R&D of software vendors. The data regarding the vulnerability and software vendors is gathered from third-party vulnerability sharing platforms, including (China’s national information security vulnerability database, CNNVD) and Tianyacha.com. Based on the theory of organizational information processing, linear regression model and Cox proportional risk regression model are built for appropriately addressing the research questions. The results show that the vulnerability disclosure of the third-party sharing platform can improve the patch R&D probability of software vendors. The information processing requirements, such as vulnerability information attention, vulnerability score and whether vulnerabilities are disclosed in advance accelerate the vulnerability patch R&D. The enterprise information processing capability indicators, including the industry dependence of software product customers and the staff size of software vendors accelerate the patch R&D. The number of products affected by the vulnerabilities and the number of software copyrights of software vendors have no significant impact on patch R&D.
RETRACTED: Topological approaches for n,m-Rung orthopair fuzzy sets with applications to diagnosis of learning disability
Authors: Ibrahim Hariwan Z.
Published: September 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Research on user satisfaction of sports and healthcare integration system in post-pandemic era
Authors: Hu Shan , Han Jialin , Rong Lingda , Zong Qiwei , Dai Mingxiao
Published: September 2022

After COVID-19, some initiatives such as Healthy China, and Smart Living have been widely mentioned. This study explored the factors influencing user satisfaction in sports and healthcare integration services to help system builders and interaction designers better seek opportunities and directions for systems construction. Based on grounded theory method, conducted semi-structured interviews with people who have home exercise needs, and then summarised the influencing factors after coding the raw information level by level. It applied the user experience honeycomb to classify potential variables, used principal component analysis (PCA) to extract representative evaluation indicators as observed variables, and followed the construction of a theoretical model of the satisfaction factors. The structural equation model (SEM) was validated and analyzed to prove its scientific validity and reasonableness. Research showed that the core factors affecting the user experience of sports and healthcare integration system include usefulness, interactivity, usability, credibility, and findability, all of which have a positive and significant impact on user satisfaction. According to the results of empirical analysis, A multidimensional design strategy for sports and healthcare integration system is proposed to provide a reference for improving user satisfaction.
Reviewer reliability and XGboost whale optimized sentiment analysis for online product recommendation
Authors: Ramshankar N. , Joe Prathap P.M.
Published: September 2022

Nowadays, people always use online promotions to know about best shops to buy the best products. This shopping experience and shopper’s opinion about the shop can be observed by the customer-experience shared on social media. A new customer when searching a shop needs information about manufacturing date (MRD) and manufacturing price (MRP), offers, quality, and suggestions which are only provided by the previous customer experience. Several approaches were used previously for predicting the product details, but no one approach provides accurate information. To overcome these issues, Reviewer Reliability and XGboost whale Optimized Sentiment Analysis for Online Product Recommendation is proposed in this manuscript.Initially, Amazon Product recommendation datathe data are preprocessed and given to XGboost Classifier that classifies the product recommendation result as, good, bad and average. Generally the XGboost Classifier does not reveal any adoption of optimization techniques for computing the optimal parameters for assuring accurate classification of product recommendation. Therefore in this work, proposed Whale optimization algorithm utilized to optimize the weight parameters of the XGboost. Then the proposed model is implemented in MATLAB. The proposed method attains 18.31%, 12.81%, 45.75%, 26.97% and 25.55% lower Mean Absolute error, 18.31%, 12.81%, 27.97%, 25.97%, and 25.55% higher Mean absolute percentage error and 15.31%, 10.33%, 25.86%, 22.86% and 15.22% lower Mean Square Error than the existing methods.
Research on expert group decision-making and conflict resolution in complex engineering consulting process
Authors: Wang Jiangrui , Zhu Jiwei , Zhao Xin , Li Liang , Wang Bing
Published: September 2022

Expert group decision-making in the process of engineering consulting is an important part of the smooth development of engineering projects. Whether the conceptual design scheme of the project is reasonable or not will directly affect the construction quality of the project. After the preliminary selection of a river ecological governance project, four conceptual design schemes were obtained. The owner invited 20 experts in relevant fields to make decisions on the four schemes collected in the early stage. The experts gave preference information for each scheme after reading the relevant materials of the project and clarifying the actual needs of the project. Based on this background, this paper uses a combination of quantitative and qualitative methods to construct a model for group decision-making and conflict resolution in the engineering consulting process. We use the preference relationship to reflect the degree of experts’ preference for the scheme, cluster them through similarity calculation, calculate the conflict degree of group preference and personal preference respectively, and comprehensively use the sequence difference method and personal preference correction method to resolve the conflict, so that their opinions can be quickly agreed within the specified time. The results calculated by model are consistent with the actual situation of the project, which verifies the effectiveness of the model proposed in this paper and can provide a reference for similar project decision-making and conflict resolution process.
Bacopa monnieri protects neuronal cell line and Caenorhabditis elegans models of Alzheimer’s disease through sigma-1 receptor antagonist sensitive and antioxidant pathways
Authors: Brimson James Michael , Prasanth Mani Iyer , Malar Discon Sheeja , Verma Kanika , Plaingam Waluga , Tencomnao Tewin
Published: September 2022

BACKGROUND:

Due to better health care and improved nutritional status of the world’s population, many people live into old age. This has resulted in more diseases related to aging, such as neurodegenerative diseases. Bacopa monnieri (BM) is a medicinal herb found in Southeast Asia and is a popular memory-enhancing supplement.

OBJECTIVE:

This study aimed to investigate how BM may provide protection in neurodegenerative disease, and whether the sigma-1 receptor is involved.

METHODS:

PC-12 cells were differentiated with the addition of nerve growth factor. The potentiation by BM of PC-12 neurite growth was measured by counting the number of differentiated cells and by measuring their length. Differentiated PC-12 cells were also subjected to amyloid-β (Aβ) toxicity in the presence and absence of BM. The cell survival (MTT and cell counting) and neurite lengths were then measured as indicators of cellular health. Total protein was extracted from control and treated cells and expression of various signalling pathway molecules was assessed via western blotting. We also assessed the effects of BM on the lifespans of various mutant strains plus wild-type C. elegans.

RESULTS:

We show that BM can protect against Aβ toxicity in PC-12 cells. Furthermore, BM can potentiate neurite outgrowth in PC-12, in a sigma-1 receptor antagonist sensitive fashion, and Neuro2A cell lines. BM induced a reduction in pAKT expression and upregulated BDNF expression in PC-12 cells. BM was also able to increase the lifespan and health-span of Aβ expressing C. elegans mutants via the DAF-16 mediated pathway. BM reduced oxidative stress in wild-type C. elegans exposed to UV-A with pre-exposure and post-exposure treatments.

CONCLUSIONS:

This all further identifies BM as a potential agent to treat neurodegenerative diseases, by modulating different pathways.
Linking women editors of periodicals to the Wikidata knowledge graph
Authors: Thornton Katherine , Seals-Nutt Kenneth , Van Remoortel Marianne , Birkholz Julie M. , De Potter Pieterjan
Published: September 2022

Stories are important tools for recounting and sharing the past. To tell a story one has to put together diverse information about people, places, time periods, and things. We detail here how a machine, through the power of Semantic Web, can compile scattered and diverse materials and information to construct stories. Through the example of the WeChangEd research project on women editors of periodicals in Europe from 1710–1920 we detail how to move from archive, to a structured data model and relational database, to Wikidata, to the use of the Stories Services API to generate multimedia stories related to people, organizations and periodicals. As more humanists, social scientists and other researchers choose to contribute their data to Wikidata we will all benefit. As researchers add data, the breadth and complexity of the questions we can ask about the data we have contributed will increase. Building applications that syndicate data from Wikidata allows us to leverage a general purpose knowledge graph with a growing number of references back to scholarly literature. Using frameworks developed by the Wikidata community allows us to rapidly provision interactive sites that will help us engage new audiences. This process that we detail here may be of interest to other researchers and cultural heritage institutions seeking web-based presentation options for telling stories from their data.
Application of enhanced computed tomography-based radiomics nomogram analysis to differentiate metastatic ovarian tumors from epithelial ovarian tumors
Authors: Zhang Aining , Hu Qiming , Ma Zhanlong , Song Jiacheng , Chen Ting
Published: September 2022

OBJECTIVE: To investigate the value of nomogram analysis based on conventional features and radiomics features of computed tomography (CT) venous phase to differentiate metastatic ovarian tumors (MOTs) from epithelial ovarian tumors (EOTs). METHODS: A dataset involving 286 patients pathologically confirmed with EOTs (training cohort: 133 cases, validation cohort: 68 cases) and MOTs (training cohort: 54 cases, validation cohort: 31 cases) is assembled in this study. Radiomics features are extracted from the venous phase of CT images. Logistic regression is employed to build models based on conventional features (model 1), radiomics features (model 2), and the combination of model 1 and model 2 (model 3). Diagnostic performance is assessed and compared. Additionally, a nomogram is plotted for model 3, and decision curve analysis is applied for clinical use. RESULTS: Age, abdominal metastasis, para-aortic lymph node metastasis, location, and septation are chosen to build Model 1. Ten optimal radiomics features are ultimately selected and radiomics score (rad-score) is calculated to build Model 2. Nomogram score is calculated to build model 3 that shows optimal diagnostic performance in both the training (AUC = 0.952) and validation cohorts (AUC = 0.720), followed by model 1 (AUC = 0.872 for training cohort and AUC = 0.709 for validation cohort) and model 2 (AUC = 0.833 for training cohort and AUC = 0.620 for validation cohort). Additionally, Model 3 achieves accuracy, sensitivity, and specificity of 0.893, 0.880, and 0.926 in the training cohort and 0.737, 0.853, and 0.613 in the validation cohort. CONCLUSION: Model 3 demonstrates the best diagnostic performance for preoperative differentiation of MOTs from EOTs. Thus, nomogram analysis based on Model 3 may be used as a biomarker to differentiate MOTs from EOTs.