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  • deep learning  (378)
  • T1-995  (346)
  • Chemical Engineering
  • Organic Chemistry
  • MDPI - Multidisciplinary Digital Publishing Institute  (708)
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  • 1
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    Recent Advances in Mechanics of Non-Newtonian Fluids (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Non-Newtonian (non-linear) fluids are common in nature, for example, in mud and honey, but also in many chemical, biological, food, pharmaceutical, and personal care processing industries. This Special Issue of Fluids is dedicated to the recent advances in the mathematical and physical modeling of non-linear fluids with industrial applications, especially those concerned with CFD studies. These fluids include traditional non-Newtonian fluid models, electro- or magneto-rheological fluids, granular materials, slurries, drilling fluids, polymers, blood and other biofluids, mixtures of fluids and particles, etc.
    Keywords: TA1-2040 ; T1-995 ; Poiseuille–Couette flow ; membrane ; viscous fluid ; channel flow ; existence theorem ; yield stress ; hemoglobe capacitor ; creeping flows ; viscoplastic fluids ; projection method ; power-law fluid ; first- and second-order slip ; Mittag–Leffler ; lubrication ; viscoplastic fluid ; rupture ; convection ; Re numbers ; enhanced oil recovery (EOR) ; SPH-FEM ; Gamma densitometer ; oil recovery ; non-newtonian fluids ; marginal function ; particle interaction ; computational fluid dynamics ; non-isothermal flows ; suspensions ; Brinkman equation ; lubrication approximation (76A05 ; lid-driven cavity ; smoothed particle hydrodynamics (SPH) ; 76D08 ; Phan-Thien–Tanner (PTT) model ; bubble suspension ; porous media ; non-equilibrium thermodynamics ; porous medium ; suspension viscosity ; hemoglobin ; convection-diffusion ; slug translational velocity ; closure relationship ; non-linear fluids ; wormlike micellar solutions (WMS) ; high viscosity oil ; viscoelastic surfactants (VES) ; 76A20) ; meshless ; Bingham fluid ; Reynolds equation ; generalised simplified PTT ; dense suspension ; chemical EOR (cEOR) ; buoyancy force ; viscosity ratio ; aspect ratio ; rheology ; lubrication approximation ; fluid-solid interaction (FSI) ; optimal control ; natural convection ; biofluids ; shear-dependent viscosity ; thermodynamic capacitor ; shear-thinning ; stokesian dynamics ; weak solution ; biological capacitor ; cement ; variable viscosity ; Couette flow ; pressure boundary conditions ; inhomogeneous fluids ; boundary control ; similarity transformation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 2
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    Nanostructure Based Sensors for Gas Sensing: from Devices to Systems (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: The development of solid state gas sensors based on microtransducers and nanostructured sensing materials is the key point in the design of portable measurement systems able to reach sensing and identification performance comparable with analytical ones. In such a context several efforts must be spent of course in the development of the sensing material, but also in the choice of the transducer mechanism and its structure, in the electrical characterization of the performance and in the design of suitable measurement setups. This call for papers invites researchers worldwide to report about their novel results on the most recent advances and overview in design and measurements for applications in gas sensors, along with their relevant features and technological aspects. Original research papers are welcome (but not limited) on all aspects that focus on the most recent advances in: (i) basic principles and modeling of gas and VOCs sensors; (ii) new gas sensor principles and technologies; (iii) Characterization and measurements methodologies; (iv) transduction and sampling systems; (vi) package optimization; (vi) gas sensor based systems and applications.
    Keywords: TA1-2040 ; T1-995 ; indium oxide ; n/a ; environmental monitoring ; semiconductor ; gas sensor ; packed gas chromatographic column ; ultrathin carbon layer ; metal-oxide-semiconductor array sensor ; halitosis ; laser ablation ; capacitive micromachined ultrasonic transducers (CMUT) ; LTCC side via ; MEMS ; indirect packaging ; gas sensing ; efficiency ; bad breath ; electrospray ; array optimization ; low temperature co-fired ceramic (LTCC) ; electronic nose ; UV irradiation ; core/shell nanostructure ; combinatorial and high-throughput technique ; sensitive material ; hydrogen sulfide ; CO detection ; ZnO ; amperometric ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 3
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    Novel Approaches for Nondestructive Testing and Evaluation (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 4
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    Towards a Sustainable Life: Smart and Green Design in Buildings and Community (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-23
    Description: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Keywords: sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Language: English
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  • 5
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    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
    Language: English
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  • 6
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    Solution Models based on Symmetric and Asymmetric Information (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.
    Keywords: TA1-2040 ; T1-995 ; rough sets ; interval type-2 fuzzy set (IT2FS) ; resources distribution ; the criteria of the weights ; public management ; Step-wise Weight Assessment Ratio Analysis (SWARA) ; multi-criteria decision-making (MCDM) ; symmetry of the method ; quadcopter ; transaction cost ; full fuzzy environment ; dual generalized geometric Bonferroni mean (DGGBM) operator ; data logger ; information theory ; control system ; salvage value ; nonlinear dynamics ; pattern formation ; oscillations ; stability ; Pythagorean fuzzy set ; FAHP ; fuzzy sets ; group decision-making ; generalized Bonferroni mean (GBM) operator ; probabilistic systems analysis ; economic decisions ; 2-tuple linguistic neutrosophic numbers set (2TLNNSs) ; evaluating the quality of distant courses ; subjective weights ; Z-numbers ; green supplier selection ; dual generalized Bonferroni mean (DGBM) operator ; normal cloud ; thrust ; sensor ; neutrosophic numbers ; MCDM ; Bayes’ theorem ; optimal dividend ; logistics ; measurement ; hybrid MCDM ; combining the weights ; data envelopment analysis ; criteria weights ; multiple attribute decision making (MADM) ; IDOCRIW ; excess-of-loss reinsurance ; fuzzy efficiency ; multiple-criteria decision-making (MCDM) ; MCGDM ; transport ; backward cloud transformation ; engineering problems ; rough ARAS ; capital injection ; performance ; Bonferroni mean (BM) operator ; green supply chain management ; population sizes ; hybrid problem solution models ; criteria weight assessment ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 7
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    Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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  • 8
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    Middleware Solutions for Wireless Internet of Things (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.
    Keywords: TA1-2040 ; T1-995 ; container ; fog computing ; virtual reality ; privacy and security ; software defined infrastructure ; intelligent medical service ; very long instruction word (VLIW) ; semantics ; privacy leakage detection ; context information ; post-copy ; ontology ; body area network ; DSP ; Internet-of-Things ; Mobile Device Management ; interoperability ; Android ; water consumption ; Processing-in-Memory ; performance analysis ; semantic ; mobility ; data management ; CRIU ; training simulator ; Industry 4.0 ; sensor networks ; experimental evaluation ; programming paradigm ; pre-copy ; microservice-oriented platform ; CubeSats ; middleware ; registry ; smart metering ; big data analytics ; nanosatellites ; medium access control ; Internet of Things ; heterogeneity ; web-of-things ; one-to-one computing educational program ; Web-of-Things ; internet of things ; instruction set extension ; microservices architecture ; migration ; behaviour ; wireless access networks ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 9
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    Photoacoustic Tomography (PAT) (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
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    Publication Date: 2024-04-11
    Description: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Keywords: photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    Radiation Tolerant Electronics (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
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    Publication Date: 2024-04-11
    Description: Research on radiation-tolerant electronics has increased rapidly over the past few years, resulting in many interesting approaches to modeling radiation effects and designing radiation-hardened integrated circuits and embedded systems. This research is strongly driven by the growing need for radiation-hardened electronics for space applications, high-energy physics experiments such as those on the Large Hadron Collider at CERN, and many terrestrial nuclear applications including nuclear energy and nuclear safety. With the progressive scaling of integrated circuit technologies and the growing complexity of electronic systems, their susceptibility to ionizing radiation has raised many exciting challenges, which are expected to drive research in the coming decade. In this book we highlight recent breakthroughs in the study of radiation effects in advanced semiconductor devices, as well as in high-performance analog, mixed signal, RF, and digital integrated circuits. We also focus on advances in embedded radiation hardening in both FPGA and microcontroller systems and apply radiation-hardened embedded systems for cryptography and image processing, targeting space applications.
    Keywords: TA1-2040 ; TK1-9971 ; T1-995 ; single event effects ; n/a ; radiation-hardening-by-design (RHBD) ; frequency divider by two ; single event upset ; Image processing ; CMOS analog integrated circuits ; FPGA ; total ionizing dose (TID) ; Impulse Sensitive Function ; soft error ; hardening by design ; radiation hardening by design ; X-rays ; Single-Event Upsets (SEUs) ; line buffer ; heavy ions ; VHDL ; FPGA-based digital controller ; radiation hardening by design (RHBD) ; radiation hardening ; SRAM-based FPGA ; proton irradiation ; ring oscillator ; sensor readout IC ; fault tolerance ; space application ; physical unclonable function ; voltage controlled oscillator (VCO) ; Ring Oscillators ; analog single-event transient (ASET) ; single event opset (SEU) ; SEB ; single event upsets ; bipolar transistor ; total ionizing dose ; protons ; triple modular redundancy (TMR) ; gain degradation ; space electronics ; saturation effect ; configuration memory ; Co-60 gamma radiation ; total ionization dose (TID) ; frequency synthesizers ; CMOS ; PLL ; TDC ; single-event upsets (SEUs) ; bandgap voltage reference (BGR) ; 4MR ; single-shot ; error rates ; Radiation Hardening by Design ; soft errors ; heavy-ions ; single-event effects (SEE) ; single event transient (SET) ; SEE testing ; proton irradiation effects ; RFIC ; single event upset (SEU) ; FMR ; ionization ; radiation tolerant ; triplex–duplex ; neutron irradiation effects ; digital integrated circuits ; single event gate rupture (SEGR) ; power MOSFETs ; ring-oscillator ; selective hardening ; voltage reference ; nuclear fusion ; TMR ; gamma-rays ; gamma ray ; instrumentation amplifier ; radiation effects ; reference circuits ; radiation-hardened ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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