bluuebunny/crossref_metadata_2025 huggingface dataset:
Tall Building Installed With Bio-Inspired TMD With Inerter
Authors: Patil VeeranagoudaB. , Biradar BapugoudaB. , Shirkol AnoopI
Published: December 2022

This paper explores the combined effect of inerter and bio-inspired tuned mass damper (BTMD) on enhancing the performance the wind excited benchmark building. Initially, the performance of the building installed with BTMD on the top floor, under across wind loads is evaluated. In addition to this, an inerter is attached to the BTMD (BTMDI) and the performance of the benchmark building is studied. A mechanical device called an inerter has two terminals and generates an equal and opposing force proportionate to the relative acceleration between the terminals. One terminal of the inerter is linked to the BTMD and the other terminal is connected to the 76th floor of the structure in order to improve the performance of the structure. The response quantities of the building installed with BMTDI are studied, and compared with those installed with TMD and BTMD. Comparative study of various performance criteria of the building installed with BMTDI, BMTD and TMD is also carried out. Optimum values of parameters such as, damping ratio, frequency ratio and mass ratio of BTMDI are found by numerical search technique. The performance of the 76th - storey benchmark tower installed with BMTDI is enhanced considerably as compared to that with BMTD.
Dynamic Instability Characteristics of Spherical Panels Subjected to linearly varying In-plane Loading
Authors: Patel G. , Nayak A.N.
Published: December 2022

The present paper reports the parametric instability phenomenon of spherical shell panels under linearly varying harmonic load employing finite element technique. An isoparametric curved element with eight nodes is considered in the formulation.. The sanders’ theory is used to model the spherical panel incorporating the properties of transverse shear and rotary inertia. A computer programme is created based on the formulation to carry out all essential calculations.The correctness of the formulation is established by comparing with results available in the literature.The impact of different parameters such as load factors, shallowness ratio on the instability regions of spherical panels with three support conditions such as SSSS (all edges simply supported), CCCC (all sides clamped) and CFCF (two opposite edges clamped and other two edges free) are studied. The study demonstrates that the parametric instability behavior of the spherical shell panels is significantly influenced by its shallowness parameter, boundary conditions and type of loads. These results will help the designers for deciding the dimensions of the spherical panels exposed to linearly varying periodic load at the time of the preliminary design.
Evaluation of Morsel Rubber Mathematical Models in Seismic Areas
Authors: Meena Ayush , Sharma Tushar , Patodiya Mohit , Ramana P.V.
Published: December 2022

Reinforced concrete is the most consumed material in the world, followed by air and water. As the demand for reinforced concrete as a building material increases, so makes the demand for Portland cement and ordinary cement. On the other hand, environmental protection has become a significant issue due to climate change caused by global warming. This is due to emissions of greenhouse gases such as CO2 from human activities. Of all greenhouse gases, CO2 is responsible for approximately 65% ??of global warming. The cement industry also contributes to releasing CO2 into the atmosphere by producing large amounts of Portland cement and releasing large amounts of CO2. One can need to protect the environment by preventing the uncontrolled disposal of waste. Several efforts have been made to solve this problem. These include using additional cementitious materials such as fly ash, silica fume, granular blast furnace slag, rice husk ash, grass, metakaolin, and alternative binders to Portland cement. Consumption of morsel rubber concrete can reduce the environmental impact in the cement industry. From the perspective of global warming, the technology of self-compacting morsel rubber concrete can significantly reduce the emission of CO2 into the atmosphere. This report presents the analysis and test results of the properties of class 40 self-compacting Morsel rubber concrete using various new approaches.
Blast Resistance Capacity of Seismically Designed Building Frames
Authors: Tolani S. , Bharti S.D. , Shrimali M.K. , Datta T.K.
Published: December 2022

Because of the inherent uncertainty in the blast loading caused due to terrorist attacks, most buildings are not designed for blast loading, but they are routinely designed for earthquake demand. If the blast resistance capacity of the seismically designed building can be evaluated, the risk of the blast loading caused due to the terrorist attacks can be reduced by upgrading the seismic design of the building. With this background in view, the present paper investigates the blast resistance capacity of a 6 storey building frame designed for extreme peak ground acceleration (PGA) levels of 0.5g, 0.4g, and 0.3g. The 3D model of the 6 storey building is designed according to Indian Standard (IS) codes for the above mentioned extreme level earthquake. Designed buildings are subjected to surface blast of 500 kg of TNT(trinitrotoluene) at different standoff distances ranging from 5m to 30m. The time histories of the blast loading due to air pressure and ground shock are modeled by those existing literature. A nonlinear time history of analysis (NTHA) of the frame is performed in SAP 2000 for surface blast and the simulated earthquakes from the specified response spectrum in IS code. NTHA results for both cases are compared to evaluate the relative performance of the three different seismically designed buildings to the surface blast loading. The response quantities of interest include maximum drift, maximum top displacement, and number of hinges formed. The results of the study indicate that for the near blast conditions the blast resistance capacity of the building increases with the increase in the PGA values for which the building is designed. By upgrading the seismic design by 0.1g, the blast resistance capacity increases manifold for near blast conditions. Thus, by updating the seismic design of a building, the risk of blast loading in the design may be considerably mitigated.
Dynamic Performance Enhancement of One-way Reinforced Concrete Slabs by Fiber-reinforced Polymer Re-bars and Aluminum Foam under Air-blast Loading
Authors: Anas S.M. , Alam Mehtab , Umair Mohammad
Published: December 2022

In the present study, finite element (FE) simulations are performed using the high fidelity physics-based finite element program, ABAQUS/CAE on the models of the one-way normal strength concrete slab, reinforced with the High Yield Strength Deformed (HYSD) steel re-bars, subjected to air-blast loading. The FE models are developed and subjected to different quantities of the TNT explosive charges at different scaled distances (between 0.75 and 3.0 m/kg1/3) in free air. There exists a good correlation between available experimental values/observations and the results obtained analytically. Analyses have been extended replacing the conventional steel re-bars with the re-bars of the fiber-reinforced polymers namely; aramid, basalt, carbon, and glass, of equivalent strength on the tension side, impact side only, and both the sides of the slab. The replacement has been considered to improve the blast resistance of the slab. The damage in the slabs has been simulated using the available sophisticated material model to evaluate geometric parameters of cracks. FE simulation results for the considered combinations of the reinforcement have been compared to arrive at the best reinforcement combination in the slab. To further enhance the blast performance of this slab, single and double layers of the aluminum foam has also been considered on the impact face. Application of the aluminum foam is found to be effective in reducing the mid-span deflection, damage dissipation energy, and depth of transverse flexural cracks.
Gravity dams under blast loading: A Review
Authors: Dar RooufUnNabi , Alam Mehtab
Published: December 2022

Hi-tech wars, accidental explosions, and subversive bombing attacks have alarmingly increased throughout the globe in recent times. Destructive Beirut explosion that occurred recently is the witness of this fact. Thus, it is increasingly realized that blast loading is a potential threat to the structures of higher importance. With the rapid development of precision and transmission techniques, the accuracy to blast the target and destruction potential of guided or controlled blasts have increased the vulnerability of important structures from subversive attacks in strategic border areas. Consequently, important infrastructure has become susceptible to such harsh blast loadings. Notwithstanding this prevailing belief that risk to water facilities from blast loading is small, yet dam operators and engineers are aware of 9/11 kind of threat [6]. The failure of dams with large reservoirs as a result of blast loads will cause serious economic loss by damaging the structure, hit agricultural sector of the area and also inundate downstream populated area. Modern dams are designed considering conventional loads, including hydrostatic pressure, gravity, sediment pressure, uplift pressure and seismic loads. Seismic performance evaluation of dam-reservoir-foundation systems under strong earthquakes has been widely studied [1, 10, 17, 18, 28, 29]. The effects of explosions on dams are not very well understood because not many investigations have been done on blast performance of dams. This is why most dam engineers lack the understanding of response of dams under blast loading.
This review presents the studies conducted on gravity dams subjected to various kinds of impulsive loadings. Also, numerical investigations done on concrete gravity dams (CGD) subjected to blast loading have been comprehensively reviewed. Probable research gap on underwater explosive loading to dams is also presented.
Alkali Activated Concrete using Industrial and Agro Waste-Mix proportioning and Experimental Investigation
Authors: Mounika Ganta , Bhaskar Ramesh , Rama J.S.Kalyana , Madhu Eru , kumar NenavathPradeep , Sri BingiIndu
Published: December 2022

The demand for concrete is increasing day by day due to vast development in urbanisation. One of the important ingredients to manufacture concrete is cement whose production is leading to large amount of carbon dioxide (CO2) releases attributing to global warming. To reduce the usage of cement in concrete, Supplementary Cementitious Materials (SCM) are given importance and plenty of research is done on them. SCM’s can replace cement upto permissible limits and enhance the concrete properties. The concretes that can replace the cement content completely are Geo Polymer Concrete (GPC) and Alkali Activated Concrete (AAC). They are eco-friendly concretes in which the wastes coming from various types of industries, treatment plants and agro wastes can be used as binders. Alkaline activator solution is used to activate the binder materials which is a combination of silicates and hydroxides. GPC and AAC has wide range of applications like making of concrete benches in park, balusters, paver blocks and non-load bearing components etc. In this paper, a novel mix design for AAC for a constant alkaline solution to binder ratio of 0.4 is presented. The molarity of sodium hydroxide used in this study is 10M. Various mix combinations of binders using Fly ash, Ground Granulated Blast Furnace Slag (GGBS) and Rice husk ash (RHA) were considered. Workability, Physical and mechanical properties of AAC mixes were determined including Non-Destructive tests (NDT). Mixes with RHA resulted in poor compressive strength as the water demand was high and curing under ambient conditions proved to be of low impact especially for AAC with RHA.
A mixed-finite element approach for full-field residual stress estimation
Authors: Naskar S. , Banerjee B.
Published: December 2022

In this paper, a full-field residual stress identification technique has been presented via a mixed finite element approach from limited measured detail. Being an inverse problem, complete identification of residual stresses from incomplete measurement is always suffered by inherent ill-posedness. To control this issue, the identification problem has been formulated as an optimization problem via a Tikhonov type cost functional. The first part of this cost functional is associated with an energy norm of mismatch between predicted and measured residual stress. The second part represents the regularization term. A Lagrangian is then considered to satisfy the equilibrium constraint over the region of interest. The incorporation of Lagrangian with aforementioned cost functional provides a form which is very similar to the standard Hellinger-Reissner (HR) functional except the discrepancy term between the data. The minimization of this formulation leads to the solution of two-field mixed variational form associated with residual stress and Lagrangian variable. To show the efficacy of the proposed procedure a two-dimensional welded specimen is considered where the weld bead is assumed to be spatially varying in all direction for residual stress identification. Line scan details are also presented to examine the deviation between the actual and predicted residual stress in the heat affected zone and at the region away from the weld bead. The results indicate that the mixed finite element formulation has the capability to provide the complete information of residual stress despite of having very few information of measurement.
Performance of Ant Lion Optimization and Artificial Bee Colony Algorithm for Structural Health Monitoring of ASCE Benchmark Structure
Authors: Das Swagato , Saha Purnachandra
Published: December 2022

Structural health Monitoring (SHM) has been a fast-moving tread for monitoring the health status of civil engineering structures. The SHM strategy involves application of different techniques involving the use of modal parameters, such as natural frequencies and mode shapes, to detect and localize the damage. Though localization of damage in structure plays an important role, damage quantification, which helps in performing repair works, is also essential. However, very few algorithms have been developed which calculates the amount of damage in structure. In view to this situation, the swarm-based optimization algorithms have been developed which can detect the damage severity in a structure. Some of the algorithms developed so far are Grey Wolf Algorithm (GWO), Artificial Bee Colony (ABC) algorithm, Firefly algorithm, Ant Lion Optimization (ALO) algorithm and others. Out of these algorithms, ALO and ABC have been used in limited number of cases for performing SHM. No real-life structures, considering the effect of noise, has been analysed using ALO and ABC. In this paper, the ALO and ABC optimization algorithm has been studied for damage analysis using an objective function based on the eigen value problem. The structure chosen for analysis is the ASCE Benchmark building which is a quarter scale model of an original building which give the real-life sense of SHM. Damage considered in the structure is of less severity occurring at multiple locations under an external noise, which is also a real-life challenge for damage analysis. The experimental results show that both ABC and ALO algorithms are able to quantify both major and minor damages in the presence of moderate amount of noise, proving the robustness of these algorithms.
Computational study of the Transmission pole during downburst using ANSYS, considering fluid-structure interactions
Authors: Akhilesh . , Narayan S.
Published: December 2022

A downburst is described as a strong downdraft that causes a devastating wind outburst on or near the earth surface. Such occurrences are more common during thunderstorms. Downbursts generally impinge on the ground and convect radially in all directions from the point of contact. Downbursts have been widely documented as a regular cause of high voltage electrical transmission tower and pole failures in numerous nations. The flow dynamics of impinging jets are investigated using numerical models, with applicability to downburst-related high intensity winds. The downburst is simulated using three primary viscous models (, , and RANS). These three viscous models are used to simulate downburst in two dimensions. The RANS viscous model is used for further investigation. To determine the temporal variant characteristics of a downburst, both steady and transient state simulations are performed. The flow is quasi-periodic, with vortex rings formed by the initial jet instability impinging on the surface, where they find an unstable separation reattachment of the boundary layer. Fluid-structure interactions (FSI) are multiphysics problems that cannot be handled using single physics equations. To determine the impacts of downburst on transmission poles, a 2-D steel pole 8 metres high with a fixed base is put near the downburst. Downburst pressure is measured on a transmission pole. The stresses and deflections caused by the pressure distribution on the tower due to varying fluid domain dimensions and jet velocities on the transmission poles are determined using one way coupling, from 2-D transmission pole geometry to 3-D transmission pole geometry.
Performance of Supplemental Inertial Devices for Base-Isolated Structures
Authors: Das Sreyashi , Niyogi ArupGuha
Published: December 2022

The seismic response of base-isolated structures with supplemental inertial devices subjected to stationary and real earthquake excitation is presented. Three types of devices, namely inertial mass damper (IMD), tuned mass damper-inerter (TMDI), and clutching inerter damper (CID), are considered. The seismic response of the base-isolated structure with and without inertial devices is compared to assess their effectiveness. Under stationary white-noise excitation, the optimum parameters of these devices were obtained. The criterion selected for optimality is the minimization of the mean-square relative displacement and absolute acceleration of the isolated structure. An equivalent linearization method was used for base-isolated structures with CID under stochastic excitation. It was observed that the IMD is not very effective in controlling the response of base-isolated structures. Optimally designed TMDI, on the other hand, was found to be effective in controlling the displacement and acceleration response of the isolated structure, with the effectiveness increasing as the inertance mass ratio increased. The CID involved in the base-isolated structure reduces the structural natural frequency and increases structural damping, thereby reducing isolator displacement and structural acceleration. The high-frequency components were present in the absolute acceleration of base-isolated structure with inertial devices (more pre-dominating for IMD and CID), which may have detrimental effects on installed high-frequency sensitive equipment.
An Exhaustive Review on The Development of The Role of Cementitious Supplementary Cementitious Material in Ductile Engineered Cementitious Composite (ECC)
Authors: Naveen S. , Bat Govardhan
Published: December 2022

In recent years, worldwide, a newly developed composite with an assurance of high ductility and high matrix toughness named as Engineered Cementitious Composites (ECC) is started. It is a known fact that the manufacturing of ECC uses a higher amount of fly ash, contributing to sustainable development and reduction of carbon footprint. In this paper, a review of ECC with supplementary cementitious materials such as fly ash has been studied. ECC looks similar to ordinary Portland cement-based concrete, except that it can deform (or bend) under strain. Conventional concrete's lack of durability and failure under strain, both stemming from brittle behaviour, have been a pushing factor in the development of ECC. ECC has exclusive properties, such as tensile properties, ductile properties, durability properties higher than other types of fibre reinforced concrete. Different trail mixes of ECC with fly ash, fly ash cenosphere and various authors have used calcium content of fly ash. The results have been assessed based on the properties of ECC in the presence of fly ash. This paper presents an exhaustive review of ECC by incorporating fly ash as a cementitious material. The reports consider the effect of fly ash fineness and fly ash content on various properties of concrete. Also, the effect on strength and other parameters studied at high-temperature conditions.
Performance Evaluation of RC Frame - Wall Structures Using Incremental Dynamic Analysis
Authors: Desai K.Y. , Sheth R.K. , Patel K.R.
Published: December 2022

A structure whose resistance to lateral loading is provided by a combination of shear walls and rigid frames, may be categorized as a frame-wall structure. The behaviour of RC structures under the effect of earthquake loading has always been a subject of investigation. Structural seismic design has been undergoing a major revaluation in recent time, with importance shifting from strength to performance. Nonlinear Time-History Analysis (NLTHA) constitutes the accurate way for simulating response of structures subjected to seismic excitation. Incremental Dynamic Analysis (IDA), involves performing nonlinear dynamic analysis of the structure under a set of ground motion records, each scaled monotonically to several intensity levels. In the present paper, RC moment resisting frame-wall structure with 18, 22 and 26 storeys are analysed for seismic zone IV, resting on hard soil and designed as per IS code provisions. Geometrical configuration of the buildings are considered as per IS 16700:2017. Analysis and design of frames are carried out using ETABS-2016. The performance evaluation of above frames is done using NLTHA and IDA using SeismoStruct software for set of 11 recorded ground motions of past Indian earthquake varying in range of magnitude from 5.6 to 7.8. For this parametric study, the performance criteria as per FEMA 356 for the limit states of Immediate Occupancy (IO), Life Safety (LS) and Collapse Prevention (CP) are considered. Results obtained from NLTHA are shown in terms of Interstorey Drift Ratio (IDR) profile. The results of NLTHA showed satisfactory performance when evaluated by a set of recorded ground motions of past Indian earthquakes. Individual and summarized IDA curves for 16%, 50% and 84% IDA of IDR | Sa illustrates that RC Frame-walls crosses the IO performance level and are well below the CP level for all cases which shows acceptable performance.
A Parametric Study on Effect of Wave Height, Water Depth and Support Conditions on Behaviour of Offshore Jacket Structure
Authors: George S.R. , Verma A.K. , Dalwadi B.R. , Iyer K.K.R.
Published: December 2022

Fixed offshore jacket structures are constructed for facilitating oil/gas exploration and production. These structures and their foundations are designed to resist large vertical and lateral loads. Various factors including water depth, wave height and support conditions would affect the response of jacket structures. However, few studies have focused on understanding the response of offshore jacket structure due to variation in these factors. In this context, the present work evaluates response of typical X-braced, square base, 4-legged battered jacket structure using STAAD Pro. under combined vertical and lateral environmental loading. The variables included are water depth (60 m, 90 m and 120 m), wave height (5 m, 10 m and 15 m) and two foundation modelling approaches (viz., fixed at pile location and with defined pile stiffness). The connection between structure leg and pile location is modelled to simulate realistic connection. Deck loads, wind forces and current velocities are considered constant for this study. The wind and wave loads have been applied in parallel, perpendicular and diagonal directions with respect to jacket structure. The wave forces are calculated by Morrison’s equation. For obtaining pile stiffness, medium dense sand layer is considered as foundation soil. The increase in water depth and wave height results in corresponding linear increase in lateral deflection and support reactions, the effect of water depth being more prominent. Moreover, lateral and vertical deflection, shear force and bending moment in the legs, the axial forces in the lower tie beams and plan bracings, and support moments are observed to increase when pile locations are modelled with appropriate vertical, lateral and rotational stiffness instead of fixed support. The effect of water depth on member forces is higher as compared to wave height. The present work deliberates on the mechanisms/reasons to explain the observed results and contributes in direction of framing decision matrix for design optimization of jacket structures.
GLOBAL CHIP SUPPLY ENSUREMENT DURING THE SHORT PERIOD
Authors: Burneckytė Miglė , Vasiliauskaitė Asta
Published: December 2022

The COVID-19 pandemic has disrupted the global chip supply chain. Shortage of electronic components was first noticed in car factories, and then in the entire electronics industry. The US, Taiwan and China are the largest markets for semiconductor manufacturers, which are no longer able to meet the everincreasing demand for chips. Lack of production capacity is mostly felt by consumers of final products. Ensuring a steady supply of chips is an important task for major manufacturers. In order to ensure the supply of chips, it is important to establish criteria by which semiconductor manufacturing countries can be arranged. The ranking will help identify the countries that are worth investing the most in the short term. The European Union, the United States and major telecommunications companies will invest billions of dollars in 2022 to replenish the market. The article analyzes the criteria for investing in chipproducing countries. The main focus of this analysis is the chip supply chain. Each of the analyzed countries has at least one stage of chip production: design, manufacturing or assembly. Data analyzed: gross domestic product, net exports, price of one dollar in relation to the national currency, monthly average wages, Oxford COVID-19 government response severity index and semiconductor export volume. These criteria allow us to rank countries from the most attractive to the least attractive for investment. The TOPSIS method was chosen for ranking, but comparative data analysis and analysis of scientific literature and other sources of information were also applied. Method principle, formulas and application – to be described. It was determined which country is the most favorable for short-term investments, taking into account the given criteria.
Deep Orbital Search for Additional Planets in the HR 8799 System
Authors: Thompson William , Marois Christian , Do Ó Clarissa R. , Konopacky Quinn , Ruffio Jean-Baptiste , Wang Jason , Skemer Andy J. , De Rosa Robert J. , Macintosh Bruce
Published: December 2022

The HR 8799 system hosts four massive planets orbiting 15 and 80 au. Studies of the system's orbital stability and its outer debris disk open the possibility of additional planets, both interior to and exterior to the known system. Reaching a sufficient sensitivity to search for interior planets is very challenging due to the combination of bright quasi-static speckle noise close to the stellar diffraction core and relatively fast orbital motion. In this work, we present a deep L-band imaging campaign using NIRC2 at Keck comprising 14 observing sequences. We further re-reduce archival data for a total of 16.75 hr, one of the largest uniform data sets of a single direct imaging target. Using a Bayesian modeling technique for detecting planets in images while compensating for plausible orbital motion, we then present deep limits on the existence of additional planets in the HR 8799 system. The final combination shows a tentative candidate, consistent with 4–7 M
jup at 4–5 au, detected with an equivalent false-alarm probability better than 3σ. This analysis technique is widely applicable to archival data and to new observations from upcoming missions that revisit targets at multiple epochs.
FN8-23-7179: A Low-temperature Circumstellar Shell?
Authors: Moody J. Ward , Steele Rochelle J.
Published: December 2022

In the course of a narrow-band imaging survey for dwarf emission-line galaxies in a nearby void, we serendipitously discovered a low-excitation nebula that fits the profile of a shell surrounding a low-temperature star. The star has a parallax of 0.47 ± 0.34 mas with a most likely distance of 1686 pc. It has apparent magnitudes in

r
′

and g of 18.5 and 19.54, absolute magnitudes

M

r
′

and M

g
of 7.4 and 8.41, and a redshift of 140 km−1. The color and magnitude are consistent with a K6V dwarf. A lack of forbidden emission suggests that the nebular electron temperature is < 3500° K.
New Cholesteryl Ester Transfer Protein from Indonesian Herbal Plants as Candidate Treatment of Cardiovascular Disease
Authors: Yudhani Ratih Dewi , Fahrurrozi Khariz , Indarto Dono
Published: December 2022

BACKGROUND: There is a strong negative relationship between high-density lipoprotein cholesterol (HDL-C) and the risk of cardiovascular disease (CVD). Cholesterol ester transfer protein (CETP) is a glycoprotein transporter that transfers cholesterol esters to very low-density lipoprotein and low-density lipoprotein cholesterol (LDL-C). The CETP inhibitor is a new strategy against CVD because of its ability to increase HDL-C. Various Indonesian plants have not been optimally used, and in silico phytochemical screening of these plants showing potential as CETP inhibitors is still limited. AIM: This study for exploring Indonesian phytochemicals as CETP inhibitors for new CVD treatments. METHODS: We screened 457 phytochemicals registered in the herbal database and met Lipinski’s rule of five. Their molecular structures were downloaded from the PubChem database. The three-dimensional structures of CETP and dalcetrapib (the CETP inhibitor standard) were obtained from a protein data bank (http://www.rcsb.org/pdb/) with the 4EWS code and ZINC database with the ZINC03976476 code, respectively. CETP–dalcetrapib binding complexes were validated 5 times using AutoDock Vina 1.1.2 software. Interactions between CETP and phytochemicals were molecularly docked with the same software and visualized using Pymol 1.8× software. RESULTS: Dalcetrapib had a docking score of −9.22 kcal/mol and bound to CETP at Ser230 and His232 residues. The 11 phytochemicals had lower binding scores than dalcetrapib, but only L-(+)-tartaric acid, chitranone, and oxoxylopine could interact with CETP at the Ser230 residue. These are commonly found in Tamarindus indica, Plumbago zeylanica, and Annona reticulata, respectively. CONCLUSION: L-(+)-Tartaric acid, chitranone, and oxoxylopine show potential as CETP inhibitors in silico.
The Role of Banana (Musa balbisiana Colla) Peel Floss as Functional Food Matrix to Alleviate Chronic Stress
Authors: Meliala Andreanyta , Narwidina Paramita , Supriyanto Irwan , Sumarno Yogi Tri , Pratama Yanasta Yudo , Damayanti Rian
Published: December 2022

BACKGROUND: Banana peel (Musa balbisiana Colla) already has a diverse variety of nutritional benefits, but its perishable nature necessitates additional food processing, one of which is banana peel floss.
AIM: The objective of this study was to examine the antidepressant effects of banana peel floss in experimental animals subjected to chronic mild stress (CMS) for 6 weeks.
METHODS: Animals were randomly assigned into five groups. The first group was fed a control diet without CMS as a negative control. The other four groups were exposed to CMS and fed a control diet as a positive control, with three of the five groups fed a control diet supplemented with 15%, 30%, and 60% banana peel floss. The tail suspension test (TST) and the Morris water maze were used as behavioral parameters in this study (MWM). Cortisol and serotonin levels were measured in two stages: after CMS exposure or before banana peel floss intervention, and after 4 weeks of banana peel floss intervention.
RESULTS: The results showed that the immobility time in TST and escape latency in the MWM test were significantly reduced in the groups supplemented with 15% and 30% banana peel floss, respectively. Furthermore, we observed a significant association between serotonin and cortisol levels and also between the duration of immobility time in TST and serotonin levels.
CONCLUSIONS: The administration of banana peel floss caused significant changes in plasma serotonin concentrations, implying that the presence of dietary fiber, tryptophan, and bioactive components in banana peel floss can reduce stress-induced depression by regulating cortisol levels and increasing serotonin levels.
Return of Coal: A Short Visit or a Long Stay?
Authors: Medzhidova Dzhanneta
Published: December 2022

Despite the existence of global targets to slow the pace of climate change, coal remains one of the most commonly used fuels that accounts for over 25% of the global energy supply and consumption. Multiple factors explain why coal is still widely used: its relatively low prices, availability in developing countries, low transportation costs and path dependence, i.e. the existing energy infrastructure. Coal consumption in developing (non-OECD) countries has been rising thanks to the processes in India and China but in 2021, however, it increased in the OECD countries as well. The uneven and often atypical post-COVID-19 recovery driven by manufacturing created disruptions in energy markets with high and volatile prices of coal’s main substitute - natural gas. The first in history and hence unexpected slowdown in the RES supply in 2021 added to the reversal of trends exactly at the time of the COP26 in Glasgow.

The goal of our study is to examine the coal markets in the new complex environment determined by both economic and political factors: high commodity prices, rising inflation, decelerating economic growth, and sanctions against exporters. In this paper we analyze the major trends before 2020, the current processes, and their implications for the future in the context of choice between economic development and energy transition including the issue of stranded assets and their possible reopening.
Screening revealed the strong cytotoxic activity of Alchemilla smirnovii and Hypericum alpestre ethanol extracts on different cancer cell lines
Authors: Ginovyan Mikayel , Hovhannisyan Svetlana , Javrushyan Hayarpi , Sevoyan Gohar , Karabekian Zaruhi , Zakaryan Narine , Sahakyan Naira , Avtandilyan Nikolay
Published: December 2022

Compounds of plant origin are considered promising alternative approaches in the development of medicines for the prevention and treatment of cancer. The large diversity of herbal species still requires careful exploration as a source for new anticancer compounds. The goal of the study was to screen different herbal extracts traditionally used in Armenian folk medicine for their cytotoxic effect against some cancer cell lines, and to find the prospective plant species among them. The cytotoxicity of the plant ethanol extracts was evaluated with MTT test against HeLa (human cervical carcinoma) and A549 (human lung adenocarcinoma) cells. Antioxidant properties were assessed with DPPH free radical scavenging assay. Five of the tested ten herbal extracts exhibited significant growth-inhibiting activity on HeLa cells. Moreover, Alchemilla smirnovii and Hypericum alpestre extracts also showed potent cytotoxicity on human lung adenocarcinoma cells. These two plants possessed high antiradical activity as well. Their DPPH stoichiometric values were 0.4234 and 0.14437 respectively, meaning that 1 µg of plant extract brought the reduction of DPPH equal to the respective stoichiometric values in µg. Thus, A. smirnovii and H. alpestre extracts expressed themselves as potent cytotoxic and antioxidant agents and could have promising anticancer potential. Further evaluation of their in vivo anticancer properties has much interest.
On fixed point results for some generalized nonexpansive mappings
Authors: Dehaish Buthinah A. Bin , Alharbi Rawan K.
Published: December 2022

We investigate an Ishikawa iteration process in the set up of generalized $ \alpha $- nonexpansive mappings. Approximation of these two mappings to a common fixed point by $ \Delta- $convergence and strong convergence of the scheme in hyperbolic space are also illustrated. The presented results amplify and polish many recent ideas put forward in uniformly convex Banach spaces, including CAT(0) spaces.
Análisis morfodiacrónico de las voces formadas con -agra en español
Authors: Molina Sangüesa Itziar
Published: December 2022

En este trabajo se estudian los nombres de los diversos subtipos de gota (así como de las neuralgias derivadas de las mismas) compuestos en -agra que proliferaron en la conformación de la terminología médica de los siglos XVIII y XIX, especialmente. Para ello, se analizan con exhaustividad tanto la etimología (y las vías de penetración en el español) como la documentación de una veintena de términos. Además, se ofrece una síntesis del tratamiento que estas voces han experimentado en los principales repertorios lexicográficos académicos y extraacadémicos del español.
El manuscrito 10186 de la Biblioteca Nacional de España y la primera traducción castellana de la Comedia de Dante
Authors: Valastro Canale Angelo
Published: December 2022

El ms. 10186 de la BNE encierra uno de los textos más interesantes del panorama cultural de la España del Siglo XV: la primera traducción al castellano, y, al mismo tiempo, a una lengua vernácula, de la Comedia de Dante, recuperada en 1899 por el filólogo italiano Mario Schiff. Que dicha traducción sea la que Enrique de Villena afirma haber realizado a petición del marqués de Santillana es algo que, después de más de un siglo de estudios, no es posible demostrar todavía, y son muchas las cuestiones que necesitan ser aclaradas. A las puertas del séptimo centenario de la muerte de Alighieri, se vuelve la mirada hacia un documento todavía capaz de suscitar muchas preguntas.
Amalgamation of Embeddings With Model Explainability for Sentiment Analysis
Authors: Jawale Shila Sumol , Sawarker S.D.
Published: December 2022

Regarding the ubiquity of digitalization and electronic processing, an automated review processing system, also known as sentiment analysis, is crucial. There were many architectures and word embeddings employed for effective sentiment analysis. Deep learning is now-a-days becoming prominent for solving these problems as huge amounts of data get generated per second. In deep learning, word embedding acts as a feature representative and plays an important role. This paper proposed a novel deep learning architecture which represents hybrid embedding techniques that address polysemy, semantic and syntactic issues of a language model, along with justifying the model prediction. The model is evaluated on sentiment identification tasks, obtaining the result as F1-score 0.9254 and F1-score 0.88, for MR and Kindle dataset respectively. The proposed model outperforms many current techniques for both tasks in experiments, suggesting that combining context-free and context-dependent text representations potentially capture complementary features of word meaning. The model decisions justified with the help of visualization techniques such as t-SNE.
Narrowing the Implementation Gap
Authors: Nummi Pilvi , Prilenska Viktorija , Grisakov Kristi , Fabritius Henna , Ilves Laugren , Kangassalo Petri , Staffans Aija , Tan Xunran
Published: December 2022

Developing new digital tools to fit the needs of communicative urban and green area planning requires understanding of the various prospective user groups, the different contexts of use, the planning tasks, and the communicative activities at hand. However, it is not self-evident that user research can be applied in research and innovation projects with limited human and time resources. In this article, a user-centered design (UCD) approach is applied in the development of new collaborative 3D tools for urban and green area planning in a multidisciplinary research team in the GreenTwins project. This research shows how essential it is to select easy-to-learn user research methods, identify the knowledge needs for tool development, and ensure that user insight is transmitted to development. In the GreenTwins project, this was achieved by applying a simple UCD framework (PACT) and engaging the research and development team in the process. Despite the challenges, the results show that the methodology used was beneficial.
Doctor Resistance of Artificial Intelligence in Healthcare
Authors: Chaibi Asma , Zaiem Imed
Published: December 2022

Artificial intelligence (AI) has revolutionized healthcare by enhancing the quality of patient care. Despite its advantages, doctors are still reluctant to use AI in healthcare. Thus, the authors' main objective is to obtain an in-depth understanding of the barriers to doctors' adoption of AI in healthcare. The authors conducted semi-structured interviews with 11 doctors. Thematic analysis as chosen to identify patterns using QSR NVivo (version 12). The results showed that the barriers to AI adoption are lack of financial resources, need for special training, performance risk, perceived cost, technology dependency, need for human interaction, and fear of AI replacing human work.
Algorithm-Oriented SIMD Computer Mathematical Model and Its Application
Authors: Jiang Yongfeng , Li Yuan
Published: December 2022

This paper has designed a professional and practical SIMD computer mathematical model based on the SIMD physical machine model combined with the variable addition method. Furthermore, the model is applied in image collection, processing, and display operations, and a SIMD data parallel image processing system is finally established by absorbing the parallel computing advantages of the mathematical model. In addition, the data-parallel image processing algorithm is introduced and the convolutional neural network algorithm is optimized to promote the significant improvement of the main performance such as the accuracy of the application system. The final experimental results have shown that the highest accuracy of the data-parallel image processing algorithm reaches 93.3% and the lowest error rate reaches 0.11%, which proves the superiority of the SIMD computer mathematical model in image processing applications.
A Method for Feature Subset Selection in Software Product Lines
Authors: Hajizadeh Nahid , Jahanbazi Peyman , Akbari Reza
Published: December 2022

Software product line (SPL) represents methods, tools, and techniques for creating a group of related software systems. Each product is a combination of multiple features. So, the task of production can be mapped to a feature subset selection problem, which is an NP-hard problem. This issue is very significant when the number of features in a software product line is huge. This chapter is aimed to address the feature subset selection in software product lines. Furthermore, the authors aim at studying the performance of a proposed multi-objective method in solving this NP-hard problem. Here, a multi-objective method (MOBAFS) is presented for feature selection in SPLs. The MOBAFS is a an optimization algorithm, which is inspired by the foraging behavior of honeybees. This technique is evaluated on five large-scale real-world software product lines in the range of 1,244 to 6,888 features. The proposed method is compared with the SATIBEA. According to the results of three solution quality indicators and two diversity metrics, the proposed method, in most cases, surpasses the other algorithm.
Automatic Detection of Microaneurysms in Fundus Images
Authors: Astorga Jesús Eduardo Ochoa , Wang Linni , Yamada Shuhei , Fujiwara Yusuke , Du Weiwei , Peng Yahui
Published: December 2022

Early detection and treatment of diabetic retinopathy can delay blindness and improve quality of life for diabetic patients. It is difficult to detect early symptoms of diabetic retinopathy, which is presented by few microaneurysms in fundus images. This study proposes an algorithm to detect microaneurysms in fundus images automatically. The proposal includes microaneurysms segmentation by U-Net model and their false positives removal by ResNet model. The effectiveness of the proposal is evaluated with the public database IDRiD and E-ophtha by the area under precision recall curve (AUPR). 90% of microaneurysms can be detected at early stages of diabetic retinopathy. This proposal outperforms previous methods based in AUPR evaluation.
Learning Sparrow Algorithm With Non-Uniform Search for Global Optimization
Authors: Chen Yifu , Li Jun , Zhang Lin
Published: December 2022

Sparrow Algorithm as a New Swarm Intelligence Search Algorithm, the sparrow algorithm has good optimization ability, but in complex environments, it still has certain limitations, such as weak learning ability. Therefore, this paper proposes a learning sparrow search algorithm for non-uniform search(Sparrow search algorithm with non-uniform search, NSSSA). A learning behavior selection strategy is proposed, and saltation learning and a random walk learning are introduced respectively.To a certain extent, the algorithm avoided alling into the local optimum, and a non-uniform variable spiral search is proposed to balance the development and search capabilities of the algorithm. In the experimental simulation, the effectiveness of the NSSSA algorithm is verified by using the benchmark function, and it is tested on the CEC 2013 test set. Compared with the algorithms with better performance in recent years, the results show that the NSSSA algorithm has better universality . Finally, the NSSSA algorithm is applied to the WSN coverage optimization problem. The results show that NSSSA achieves more than 90% and 96% coverage on the two models of 50×50 and 100×100, respectively, which verifies the practicability of the algorithm.
An Empirical Study on the Influence of Mobile Games and Mobile Devices for Contemporary Students' Education and Learning Behavior
Authors: Lin Yujia , Liu Yuzhi
Published: December 2022

This paper aims to realize the impact of mobile educational games on contemporary students' learning behavior. Firstly, the research status of educational games is analyzed. Secondly, an online game acceleration method is designed based on deep learning technology. Mobile games and learning behaviors are combined. College students and primary school students are selected as research samples. The main reasons for students' usage of mobile phones are analyzed through a questionnaire survey. In addition, the impact of different social media on students' learning behavior is analyzed. Finally, the experiment is carried out by integrating game elements into the teaching process of primary school students. The results show that about 60% of college students rarely or occasionally play mobile games. The remaining 13% never play games. It shows that many college students play games, but not many have been addicted to games for a long time.