Our knowledge of genomic medicine has increased at astonishing pace in recent years. As a result of advances in genomics, proteomics and molecular pathology, many candidate biomarkers with potential clinical value have been identified. Furthermore, recent refinements of experimental technique including array-based assays which generate huge datasets and find numerous potentially useful molecules are

In BLDC motor, difference in current deviation of entering and leaving phase at the time of commutation causes torque ripple resulting in vibration and noise which restricts them to use for certain applications. This paper presents a simple controller based on bio-inspired spider web algorithm for torque ripple reduction which can be used for both sensored and sensorless BLDC motor. A combination of

Crash prediction models (CPM) are mostly used for network screening in the road safety management process. The Highway Safety Manual (HSM) offers consistent and reliable CPMs for various roadway facilities that are commonly known as safety performance functions (SPFs). SPFs are statistical regression models that estimate the expected crash frequencies by crash severity, type, and facility types as

Micropolar fluids are used in lubrication theory, thrust bearing technologies, cervical flows, lubricants, paint rheology, and the polymer industry. This study develops the numerical simulation of the magneto-Darcy flow of a polarized nanoliquid with Joule heating and viscous heating mechanisms on an exponentially elongated surface. The effects of linearized Rosseland radiation and temperature-dependent

The need for future sustainable energy and better transmission efficiency has advocated the large-scale integration of distributed energy resources (DER) in the utility network. The high penetration of DERs such as solar PV can potentially result in serious issues such as reverse power flow, voltage fluctuations, and utility revenue loss. The concept of a virtual power plant (VPP) can be a possible

A broad range of potential chemical compositions makes difficult design of novel bulk metallic glasses (BMGs) without performing expensive experimentations. To overcome this problem, it is very important to establish predictive models based on artificial intelligence. In this work, a machine learning (ML) approach was proposed for predicting glass formation in numerous alloying compositions and designing

This paper adopts a relay among available secondary relays and exploits non-selected relays as jammers to maintain and secure legitimate secondary source-to-destination communications in energy harvesting underlay cognitive networks (EHUCNs) as their direct communications is in outage. All relays harvest radio frequency energy in signals transmitted by primary and secondary transmitters and consume

Many researchers report optimizations of chemical processes based on steady-state analysis. However, neglecting the time factor may lead sometimes to more waste generation and/or hazardous safety consequences. In this regard, we recently detailed a comprehensive modeling of a fluidized bed reactor (FBR) for Unipol® polypropylene process using the sequential modular simulation approach while incorporating

The heat transfer phenomenon plays an imperative role in several biological and industrial processes, like the oil production industries, catalytic reactors, energy losses in several thermal systems, energy storage, papers manufacture and heat exchanger systems. Therefore, the present analysis investigates the heat transfer phenomena on peristaltic transportation of the hydromagnetic flow of non-Newtonian

Natural CO2 was discovered in Nantun Formation in the northern Wuerxun Sag. A better understanding of the main controlling factors of CO2 distribution in this area is necessary. In this paper, a 3D geological model of Nantun Formation is established based on well-logging and seismic interpretation results, constrained by dual facies conditions. The 3D geological model includes structural, lithologic

The production of biodiesel from oily waste has been reported as a promising alternative for the use of biomass in energy. However, the high content of free fatty acids makes traditional chemical catalysis processes difficult. This work aimed to evaluate the enzymatic production of biodiesel from oily residues derived from sanitation and its optimization for large-scale applications. We evaluated the

Living beings are subjected to many hazards during their course of life. Owing to high mortality rate, heart disease (HD) is among leading hazards for living being. It is world’s one of the critical disease due to its complex diagnosis and expansive treatment. It has predominantly affected the health care sector of developing as well as developed countries. Inadequate preventive measures, diagnosis

Vibration analysis is an effective approach to evaluate hob wear status and diagnose hob faults. However, the extraction of vibration signal features is susceptible to noise interference. To solve this problem, a method combining grey relational analysis (GRA) and variational mode decomposition (VMD), named GVMD, is proposed in this paper. In our method, the mode number K, the most important parameter

Conventional neural networks (NNs) have been extensively used to model the spatial heterogeneity of rock properties from seismic inversion. Nevertheless, these generic NNs have a single network structure, which leads to overfitting and convergence difficulties. Furthermore, for stable predictions, conventional NNs highly depend on the initial weights and bias values. This research focuses on resolving

The erosive wear rate caused by slurry flow is the worst phenomenon associated with complex geometry like bend, curved cross section and rotating machinery. The numerous quantitative research is available in the past for findings of erosive wear rate through pipe bend, but findings of erosive wear rate through pipe bend using Fluent based various erosion models are not yet established. In the present

Hierarchical structures are very common in knowledge graphs, and semantic hierarchy-preserved knowledge graph embeddings have achieved promising results in the knowledge graph link prediction task. However, handling one-to-many, many-to-one, and many-to-many relations that can provide hierarchical information is challenging and brings entity indistinguishability issues. To address this limitation,

Modern communication services are developing rapidly, and indoor positioning technologies are diverse. However, the accuracy of single algorithm cannot meet the actual requirements. To address this issue, an hybrid indoor positioning algorithm for cellular and Wi-Fi networks is proposed in this paper. The proposed algorithm consists of two phases, namely the offline phase and the online phase. In the

The reinforcement design is the most critical and time-consuming process in structural design of hyperbolic cooling tower (HCT) shell due to the complicate internal force distributions and arbitrary direction of wind load. The internal forces of a representative HCT under different loads, including gravity, wind, thermal actions of winter and summer, horizontal and vertical earthquakes with reasonable

In this study, X. strumarium L., an alien invasive species, was used for the first time as a biomonitor of selected heavy metals (Pb, Cd, Zn, and Cu) in Khyber Pakhtunkhwa, Pakistan. The soil and plant samples were collected from 15 locations categorized as roads, urban, and rural sites based on origin and intensity of the heavy metals for comparison. All the metal concentrations were quantified from

Mutual authentication scheme plays a significant role in the global mobility network to afford roaming service. However, designing secure and privacy-preserving authentication protocols for roaming service is always challenging. Due to the nature of wireless communication medium, these networks are vulnerable to security threats. In recent times, some authentication systems have been proposed for the

In this paper, an efficient \((G^{\prime}/G,\,1/G)\)-expansion method is adopted to resolve a famous (2 + 1)-dimensional fractional Ablowitz–Kaup–Newell–Segur (AKNS) water wave equation for the non-conservative system that plays a significant role in understanding the wave propagation. This work addresses the physical and dynamic behavior of some new exact trigonometric, hyperbolic, and rational solitary

Heating and cooling of buildings is responsible for almost 40% of the electricity demand and about 33% of greenhouse gas emissions. Because of the global energy and environment critical situation, there is a need to improve the energy efficiency of buildings and make them more sustainable. The main objective of the present study is to investigate the crushed rubber from unserviceable tires as an insulating

The potential employability in different applications has garnered more significance for Periodic High-Utility Itemset Mining (PHUIM). It is to be noted that the conventional utility mining algorithms focus on an itemset’s utility value rather than that of its periodicity in the transaction. A MEAN periodicity measure is added to the minimum (MIN) and maximum (MAX) periodicity to incorporate the periodicity

This paper presents a method for the end effector motion control of a spatial three-link robot having elastic second and third links including measurement noises. In the derivation of equations of motion, not to face with complex equations of motion, each link is modeled as though the links are not connected and the restrictions on the links due to connecting them by joints are written as constraint

Milling is a machining method used extensively nowadays in the manufacturing industry. In the milling process, one of the most important parameters affecting the machining performance is cutting tool geometry. In general, the effects of helix and rake angles, which are among the most important geometric parameters, on tool performance, are significant. In this study, the cutting force performance of

Monitoring the concentration of plasma glucose is very important to diagnose individuals with diabetes early so that the treatment of diabetes can be done early as well. The earlier diagnosis of the disease allows for better control. In general, the diagnostic determination of subjects with prediabetes or diabetes is based on the criteria of the basal threshold of measured plasma glucose statically

Data visualization is the science of analytical reasoning assisted by interactive data analysis, and it has many applications in business fields. According to business strategies, both adoption and self-service data resources issues do not understand the income maximization planning, and they do not look after all the information accessible. The digitization trend in industry produces enormous amounts

In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve

Under the uniform parallel well pattern widely used in shale gas cluster well, the directional drilling limits (DDL) can better reflect the productivity of shale gas cluster well than extended-reach limits (ERL). In this paper, the concept of directional drilling limits is proposed to predict the productivity of shale gas cluster well. Around this concept, the forecast model of mechanical directional

Photovoltaic (PV) power systems are integrated with high penetration levels into the grid. This in turn encourages several modifications for grid codes to sustain grid stability and resilience. Recently, constant power management and regulation is a very common approach, which is used to limit the PV power production. Thus, this article proposes dual-mode power generation algorithm for grid-connected

This research paper presents the analysis of vibration generated due to the race waviness of rolling element bearing which is under external dynamic load. The waviness on races is modeled either by sinusoidal function or superposition of sinusoidal functions of different orders. The mathematical model developed to analyze elastic deformations at race-rollers contacts and nonlinear contact forces for

Business forecasting refers to the methods and strategies used to predict business trends, such as sales, expenditures, and profits. The purpose of business forecasting is to create better plans based on these informed predictions. Many businesses consider that it is imperative to obtain information about the future to ensure future organizational success. Enhancing forecasting progression can allow

This article presents a review on performance, thermal modeling and numerical modeling of spray-assisted solar desalination systems (SLTD). Spray assisted has the benefits of higher rates of heat and mass transfer, the ability to work at moderately low-temperature differences, ease of system design, less scaling and fouling issues, and lower initial cost than conventional thermal desalination. Thermal

Massive multiple-input multiple-output (MIMO) is projected as the most favorable technology among the latest for quality cellular services in fifth-generation wireless networks. This technology has been extensively studied for analyzing its advantages and bottlenecks. One of the main bottlenecks of massive MIMO that has come forward is the pilot contamination that is caused by the interference of signals

Over the years, numerous fuzzy time-series forecasting (FTSF) models have been developed to handle the uncertainty and non-determinism in the time-series (TS) data. To handle the non-determinism and indeterminacy, researchers have considered either intuitionistic fuzzy set or hesitant fuzzy set theory. However, in both the fuzzy set theories (FST), the degree of indeterminacy is a dependent value and

The heat transfer performance of the air–water double pipe heat exchanger (HE) was experimentally investigated. Segmental baffles with semi-circular perforations were introduced in the annular side of HE. Each baffle contains semi-circular fins. Air was used as a working fluid in the annular while, water for the inner tube. Seven different air Reynold’s numbers range from 2700 to 4000 were selected

Development in Internet technologies increases Internet users exponentially. Increase in users leads to more data center network (DCN) and heavy data traffic in servers. Data traffic in servers is managed through software-defined networking (SDN). SDN improves utilisation of large-scale network resource and performance of network applications. In SDN, load balancing technique optimises the data flow

A computational model is generated to analyse the influence of shrinkage on convective drying problems. The object considered here is cranberry which is assumed as 100% spherical. The drying air temperatures were considered from 313 to 348 K. There were four models used in this study, namely one-dimensional models without and with shrinkage, two-dimensional models without and with shrinkage. A finite

Both wireless sensor networks (WSN) and the Internet of things (IoT) have evolved to aid real-time monitoring systems. Long range (LoRa) provides a framework solution for the IoT which has captivated ample consideration from the society lately. A low power, long range, and energy efficient solution is desirable specially to monitor slope failure in open-cast mines. Due to extreme environmental conditions

A network protection technology is primarily designed for detecting vulnerabilities against the target device through an intrusion detection system (IDS). Unattended locations need detection of malicious attack. The IDS challenge is to achieve a high level of attack prevention by tracking and reviewing incidents at the computer network device to identify potential impacts with low false alarm rates

Smart cities increased residents’ quality of life through utilizing networking, information technology, and better data management in the advancing age. The development of big data analytics, cloud computing. IoT technology development (IoT) played a significant role in the workability of intelligent city programs. It reduces the expense and use of resources and improves their use. Efficient data collection

This article aims to use simulation to optimize the technical studies and production plans of a proposed new spinning mill. The output of such a technical study was trialed as an input for ARENA software, before commencing the actual production. The results indicated deviations between the initial simulation scenario output and the planned output. Therefore, a modified technical plan was suggested

A control scheme implementation for a fixed-bed Fischer–Tropsch synthesis (FTS) reactor using the optimal initial operating conditions at steady-state is developed. The proposed approach consists of solving a nonlinear constrained optimization problem for a fixed-bed FTS reactor with incorporation of a control scheme in the cooling jacket in order to find the optimal values of the initial operating

All multi-criteria decision making (MCDM) techniques used with discrete event simulation (DES) in previous literature in the analysis of healthcare systems assume that performance measures are independent, while in fact many are correlated. In this study, correlations between performance measures are taken into consideration using modified TOPSIS. A framework is developed in which DES is used to model

Distributed denial-of-service attacks are still difficult to handle as per current scenarios. The attack aim is a menace to network security and exhausting the target networks with malicious traffic from multiple sites. Although a plethora of conventional methods have been proposed to detect DDoS attacks, so far the rapid diagnosis of these attacks using feature selection algorithms is a daunting challenge

Aluminum hybrid composites have the potential to satisfy emerging demands of lightweight materials with enhanced mechanical properties and lower manufacturing costs. There is an inclusion of reinforcing materials with variable concentrations for the preparation of hybrid metal matrix composites to attain customized properties. Hence, it is obligatory to investigate the impact of different machining

In this paper, thermo-economic optimization and comparative analysis of a cascade refrigeration system configured with flash gas removal in its high-temperature cycle (HTC) and flash intercooling with indirect subcooling in lower temperature cycle (LTC) using different natural refrigerant pairs is performed. Thermo-economic optimization is carried out to maximize the exergetic efficiency and minimize

The cement ring of the oil well will produce micro-cracks, which will cause channeling in the annulus, affecting actual production. Therefore, self-healing cement has great value in oil well applications. In this paper, using N, N-dimethylformamide as the catalyst, DL-malic acid and bromopropene as raw materials, the self-repairing material (CWS) was synthesized by suspension polymerization with dibenzoyl

This paper presents the findings from a research study using computational fluid dynamics (CFD) on the impact of different diameter Ball Tabulators Inserts (BTI) on the three-dimensional flow pattern and heat transfer characteristics within a circular tube. This analysis was carried under uniform heat flux conditions with different BTI diameters (1, 2, 3, 4, 5, 6, 7, and 8 mm). Fluid flow, pressure

The adsorption study of anionic reactive blue 19 (RB19) and cationic methylene blue (MB) dyes from synthetic water was investigated using a new adsorbent. It was prepared from drinking water treatment sludge (DWTS) modified by iron nitrate. The surface area Brunauer, Emmett, and Teller BET increased from 15.58 to 106.12 m2/g after the iron incorporation. The adsorption of RB19 and MB on Fe-DWTS was

The FrLi molecule has not yet been well reported. In this paper, potential energy curves, as well as relevant permanent and transition dipole moments, for X1Σ+–101Σ+, 13Σ+–103Σ+, 11,3Π–61,3Π and 11,3∆–21,3∆ of FrLi were computed using a standard quantum chemistry approach based on pseudopotential for Fr+ and Li+ cores, Gaussian basis sets, effective core polarization potentials and full configuration

In the present study, the sol–gel method is used to synthesize pure TiO2, TiO2–ZnO and TiO2–ZnO–NiO (TZN) nanoparticles. The study aims at investigating the photocatalytic efficiency of the synthesized nanoparticles used in order to remove methyl orange (MO, as a model water pollutant) dye, as exposed to black light radiation. Moreover, it also addresses the factors that may positively or negatively

Vehicle dynamic load is a major factor in the occurrence of early pavement failure. The analysis of tire–road contact pressure under various driving conditions of the vehicle is the basis for studying vehicle driving stability and road surface performance durability. In previous studies, there was more analysis of tire–road contact stress under static load. However, the results obtained in this way

In this paper, empirical mode decomposition (EMD) in the Hilbert-Huang transform (HHT) was used to analyse the relationship between asphalt pavement surface texture and skid resistance. A laser profilometer was used to scan the surface texture of nine groups of asphalt mixture with three gradations and three coarse aggregates. The texture profile was decomposed into a number of intrinsic mode functions

Rubber concrete (RC) is a new type of concrete that has been rapidly gaining acceptance in recent years. In this paper, the effects of freeze–thaw cycles in chloride salt solution on the spalling amount (Qs), relative wave velocity (VR) and relative compressive strength (σR) of ordinary concrete (OC) and RC were investigated using the test method of one-sided freezing with rubber particle size and

Given that Staphylococcus aureus, an opportunistic pathogen, is one of the main etiological agents that causes various hospital and community infections associated with the production of virulence factors, emerging treatment strategies target to attenuate the activity of these factors can be promising to combat antibiotic-resistant strains. In this perspective, we investigated the antipathogenic potential

There are fixed thresholds in the conventional double threshold sensing techniques. There is no sensing or confusion region when the test statistic lies between high and low thresholds leading to meager detection probability and lengthier sensing time for the upcoming fifth-generation networks. Hence, there occur problems of low SNR and threshold discrepancies in conventional detectors. So, a novel

The Upper Permian Changhsing Formation is one of the most important gas-bearing formations in the Eastern Sichuan Basin. Nonetheless, the primary factors controlling the reef-shoal gas reservoirs of different regions are diverse. Clarifying the controlling factors for the formation of intra-platform reef-shoal reservoirs will promote the exploration and development process of the Changhsing Formation

As a kind of fuel cells, solid oxide fuel cell (SOFC) has been an important research area for researchers. However, SOFC gives a challenging control problem because of their operating constraints, complex nonlinearity, slow dynamics, and load disturbance. In this article, a new enhanced model-free discrete-time adaptive terminal sliding-mode control (EMF-ATSMC) is proposed for the SOFC system with

In this study, the detection of wear faults in spur gears was examined using vibration analysis, statistical process control method, and statistical parameters. For this purpose, a closed-loop test rig with a power transmission system was established. Defect-free gears were attached to the test assembly, and the system was operated at a specific torsional load and number of cycles until the gears were