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  • 1
    Electronic Resource
    Electronic Resource
    EFFECT OF GAMMA RADIATION ON CHICKEN LIVER CATHEPTIC ACTIVITY AND RELEASE OF LYSOSOMAL CATHEPSIN D (1975)
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 40 (1975), S. 0 
    Details
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-2621.1975.tb03732.x
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  • 2
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    Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-01-31
    Description: Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (〈A〉, 〈neutA〉, 〈antiA〉), where 〈A〉 is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, 〈antiA〉 is the opposite of 〈A〉, while 〈neutA〉 is the neutral (or indeterminate) between them, i.e., neither 〈A〉 nor 〈antiA〉.Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures – that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc.
    Keywords: QA1-939 ; Q1-390 ; similarity measure ; generalized partitioned Bonferroni mean operator ; normal distribution ; school administrator ; complex neutrosophic set ; expert set ; neutrosophic classification ; multi-attribute decision-making (MADM) ; multi-criteria decision-making (MCDM) techniques ; criterion functions ; matrix representation ; possibility degree ; quantum computation ; typhoon disaster evaluation ; NT-subgroup ; generalized neutrosophic ideal ; three-way decisions ; decision-making ; G-metric ; multiple attribute group decision-making (MAGDM) ; SVM ; semi-neutrosophic triplets ; LA-semihypergroups ; power operator ; fuzzy graph ; neutrosophic cubic graphs ; LNGPBM operator ; neutrosophic c-means clustering ; (commutative) ideal ; region growing ; clustering algorithm ; Neutrosophic cubic sets ; forecasting ; vector similarity measure ; totally dependent-neutrosophic soft set ; Fenyves identities ; TODIM model ; similarity measures ; CI-algebra ; Dice measure ; de-neutrosophication methods ; DSmT ; semigroup ; VIKOR model ; multigranulation neutrosophic rough set (MNRS) ; simplified neutrosophic linguistic numbers ; Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) ; multi-criteria group decision making ; multi-attribute group decision-making (MAGDM) ; exponential operational laws of interval neutrosophic numbers ; simplified neutrosophic weighted averaging operator ; neutro-epimorphism ; Choquet integral ; fixed point theory (FPT) ; computability ; neutrosophic triplet set ; interval-valued neutrosophic set ; simplified neutrosophic sets (SNSs) ; totally dependent-neutrosophic set ; Maclaurin symmetric mean ; recursive enumerability ; loop ; photovoltaic plan ; intersection ; neutrosophic bipolar fuzzy set ; big data ; inclusion relation ; dual aggregation operators ; Hamming distance ; neutro-automorphism ; neutrosophic set theory ; multiple attribute decision-making ; multicriteria decision-making ; pseudo primitive elements ; medical diagnosis ; neutrosophic G-metric ; bipolar fuzzy set ; NC power dual MM operator (NCPDMM) operator ; neutrosophic sets (NSs) ; emerging technology commercialization ; neutrosophic triplet groups ; probabilistic rough sets over two universes ; neutrosophic triplet set (NTS) ; neutrosophic triplet cosets ; MM operator ; TOPSIS ; cloud model ; extended ELECTRE III ; extended TOPSIS method ; 2ingle-valued neutrosophic set ; dual domains ; probabilistic single-valued (interval) neutrosophic hesitant fuzzy set ; Jaccard measure ; data mining ; BE-algebra ; neutrosophic soft set ; aggregation operators ; image segmentation ; multiple attribute decision making (MADM) ; neutrosophic duplets ; fundamental neutro-homomorphism theorem ; neutro-homomorphism ; power aggregation operator ; linear and non-linear neutrosophic number ; multi-attribute decision making ; first neutro-isomorphism theorem ; MCGDM problems ; neutrosophic bipolar fuzzy weighted averaging operator ; Bonferroni mean ; analytic hierarchy process (AHP) ; quasigroup ; action learning ; weak commutative neutrosophic triplet group ; generalized aggregation operators ; single valued neutrosophic multiset (SVNM) ; sustainable supplier selection problems (SSSPs) ; LNGWPBM operator ; skin cancer ; oracle computation ; n/a ; fault diagnosis ; interval valued neutrosophic support soft sets ; neutrosophic triplet normal subgroups ; soft set ; multi-criteria decision-making ; neutrosophic triplet ; generalized group ; neutrosophic multiset (NM) ; two universes ; algorithm ; multi-attribute decision making (MADM) ; PA operator ; BCI-algebra ; neutrosophic triplet group (NTG) ; single valued trapezoidal neutrosophic number ; quasi neutrosophic triplet loop ; neutrosophy ; complex neutrosophic graph ; S-semigroup of neutrosophic triplets ; and second neutro-isomorphism theorem ; MADM ; dermoscopy ; linguistic neutrosophic sets ; defuzzification ; construction project ; potential evaluation ; neutrosophic big data ; decision-making algorithms ; neutosophic extended triplet subgroups ; applications of neutrosophic cubic graphs ; fuzzy time series ; TFNNs VIKOR method ; two-factor fuzzy logical relationship ; oracle Turing machines ; grasp type ; interval neutrosophic sets ; multi-criteria group decision-making ; interval neutrosophic weighted exponential aggregation (INWEA) operator ; power aggregation operators ; neutrosophic triplet group ; MGNRS ; 2-tuple linguistic neutrosophic sets (2TLNSs) ; computation ; filter ; multi-valued neutrosophic set ; integrated weight ; Bol-Moufang ; prioritized operator ; interval number ; logic ; pseudo-BCI algebra ; interval neutrosophic set (INS) ; neutrosophic rough set ; soft sets ; Q-neutrosophic ; Linguistic neutrosophic sets ; fuzzy measure ; homomorphism theorem ; commutative generalized neutrosophic ideal ; neutrosophic association rule ; shopping mall ; dependent degree ; Q-linguistic neutrosophic variable set ; quasi neutrosophic loops ; symmetry ; neutrosophic sets ; neutrosophic logic ; neutrosophic cubic set ; complement ; robotic dexterous hands ; neutro-monomorphism ; group ; analytic network process ; Muirhead mean ; maximizing deviation ; classical group of neutrosophic triplets ; neutrosophic triplet quotient groups ; generalized neutrosophic set ; multi-criteria group decision-making (MCGDM) ; support soft sets ; decision making ; generalized De Morgan algebra ; multiple attribute group decision making (MAGDM) ; single-valued neutrosophic multisets ; 2TLNNs TODIM method ; membership ; grasping configurations ; single valued neutrosophic set (SVNS) ; multiple attribute decision making problem ; SWOT analysis ; neutrosophic clustering ; hesitant fuzzy set ; interval neutrosophic numbers (INNs) ; quasi neutrosophic triplet group ; triangular fuzzy neutrosophic sets (TFNSs) ; interdependency of criteria ; aggregation operator ; cosine measure ; neutrosophic set ; neutrosophic computation ; decision-making trial and evaluation laboratory (DEMATEL) ; partial metric spaces (PMS) ; NCPMM operator ; clustering
    Language: English
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  • 3
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    Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-12-20
    Description: Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (〈A〉, 〈neutA〉, 〈antiA〉), where 〈A〉 is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, 〈antiA〉 is the opposite of 〈A〉, while 〈neutA〉 is the neutral (or indeterminate) between them, i.e., neither 〈A〉 nor 〈antiA〉.Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures – that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc.
    Keywords: QA1-939 ; Q1-390 ; similarity measure ; generalized partitioned Bonferroni mean operator ; normal distribution ; school administrator ; complex neutrosophic set ; expert set ; neutrosophic classification ; multi-attribute decision-making (MADM) ; multi-criteria decision-making (MCDM) techniques ; criterion functions ; matrix representation ; possibility degree ; quantum computation ; typhoon disaster evaluation ; NT-subgroup ; generalized neutrosophic ideal ; three-way decisions ; decision-making ; G-metric ; multiple attribute group decision-making (MAGDM) ; SVM ; semi-neutrosophic triplets ; LA-semihypergroups ; power operator ; fuzzy graph ; neutrosophic cubic graphs ; LNGPBM operator ; neutrosophic c-means clustering ; (commutative) ideal ; region growing ; clustering algorithm ; Neutrosophic cubic sets ; forecasting ; vector similarity measure ; totally dependent-neutrosophic soft set ; Fenyves identities ; TODIM model ; similarity measures ; CI-algebra ; Dice measure ; de-neutrosophication methods ; DSmT ; semigroup ; VIKOR model ; multigranulation neutrosophic rough set (MNRS) ; simplified neutrosophic linguistic numbers ; Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) ; multi-criteria group decision making ; multi-attribute group decision-making (MAGDM) ; exponential operational laws of interval neutrosophic numbers ; simplified neutrosophic weighted averaging operator ; neutro-epimorphism ; Choquet integral ; fixed point theory (FPT) ; computability ; neutrosophic triplet set ; interval-valued neutrosophic set ; simplified neutrosophic sets (SNSs) ; totally dependent-neutrosophic set ; Maclaurin symmetric mean ; recursive enumerability ; loop ; photovoltaic plan ; intersection ; neutrosophic bipolar fuzzy set ; big data ; inclusion relation ; dual aggregation operators ; Hamming distance ; neutro-automorphism ; neutrosophic set theory ; multiple attribute decision-making ; multicriteria decision-making ; pseudo primitive elements ; medical diagnosis ; neutrosophic G-metric ; bipolar fuzzy set ; NC power dual MM operator (NCPDMM) operator ; neutrosophic sets (NSs) ; emerging technology commercialization ; neutrosophic triplet groups ; probabilistic rough sets over two universes ; neutrosophic triplet set (NTS) ; neutrosophic triplet cosets ; MM operator ; TOPSIS ; cloud model ; extended ELECTRE III ; extended TOPSIS method ; 2ingle-valued neutrosophic set ; dual domains ; probabilistic single-valued (interval) neutrosophic hesitant fuzzy set ; Jaccard measure ; data mining ; BE-algebra ; neutrosophic soft set ; aggregation operators ; image segmentation ; multiple attribute decision making (MADM) ; neutrosophic duplets ; fundamental neutro-homomorphism theorem ; neutro-homomorphism ; power aggregation operator ; linear and non-linear neutrosophic number ; multi-attribute decision making ; first neutro-isomorphism theorem ; MCGDM problems ; neutrosophic bipolar fuzzy weighted averaging operator ; Bonferroni mean ; analytic hierarchy process (AHP) ; quasigroup ; action learning ; weak commutative neutrosophic triplet group ; generalized aggregation operators ; single valued neutrosophic multiset (SVNM) ; sustainable supplier selection problems (SSSPs) ; LNGWPBM operator ; skin cancer ; oracle computation ; fault diagnosis ; interval valued neutrosophic support soft sets ; neutrosophic triplet normal subgroups ; soft set ; multi-criteria decision-making ; neutrosophic triplet ; generalized group ; neutrosophic multiset (NM) ; two universes ; algorithm ; multi-attribute decision making (MADM) ; PA operator ; BCI-algebra ; neutrosophic triplet group (NTG) ; single valued trapezoidal neutrosophic number ; quasi neutrosophic triplet loop ; neutrosophy ; complex neutrosophic graph ; S-semigroup of neutrosophic triplets ; and second neutro-isomorphism theorem ; MADM ; dermoscopy ; linguistic neutrosophic sets ; defuzzification ; construction project ; potential evaluation ; neutrosophic big data ; decision-making algorithms ; neutosophic extended triplet subgroups ; applications of neutrosophic cubic graphs ; fuzzy time series ; TFNNs VIKOR method ; two-factor fuzzy logical relationship ; oracle Turing machines ; grasp type ; interval neutrosophic sets ; multi-criteria group decision-making ; interval neutrosophic weighted exponential aggregation (INWEA) operator ; power aggregation operators ; neutrosophic triplet group ; MGNRS ; 2-tuple linguistic neutrosophic sets (2TLNSs) ; computation ; filter ; multi-valued neutrosophic set ; integrated weight ; Bol-Moufang ; prioritized operator ; interval number ; logic ; pseudo-BCI algebra ; interval neutrosophic set (INS) ; neutrosophic rough set ; soft sets ; Q-neutrosophic ; Linguistic neutrosophic sets ; fuzzy measure ; homomorphism theorem ; commutative generalized neutrosophic ideal ; neutrosophic association rule ; shopping mall ; dependent degree ; Q-linguistic neutrosophic variable set ; quasi neutrosophic loops ; symmetry ; neutrosophic sets ; neutrosophic logic ; neutrosophic cubic set ; complement ; robotic dexterous hands ; neutro-monomorphism ; group ; analytic network process ; Muirhead mean ; maximizing deviation ; classical group of neutrosophic triplets ; neutrosophic triplet quotient groups ; generalized neutrosophic set ; multi-criteria group decision-making (MCGDM) ; support soft sets ; decision making ; generalized De Morgan algebra ; multiple attribute group decision making (MAGDM) ; single-valued neutrosophic multisets ; 2TLNNs TODIM method ; membership ; grasping configurations ; single valued neutrosophic set (SVNS) ; multiple attribute decision making problem ; SWOT analysis ; neutrosophic clustering ; hesitant fuzzy set ; interval neutrosophic numbers (INNs) ; quasi neutrosophic triplet group ; triangular fuzzy neutrosophic sets (TFNSs) ; interdependency of criteria ; aggregation operator ; cosine measure ; neutrosophic set ; neutrosophic computation ; decision-making trial and evaluation laboratory (DEMATEL) ; partial metric spaces (PMS) ; NCPMM operator ; clustering ; bic Book Industry Communication::P Mathematics & science
    Language: English
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  • 4
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    Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network (2020)
    Molecular Diversity Preservation International
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    Publication Date: 2020-07-08
    Description: This paper aims to develop the long short-term memory (LSTM) network modelling strategy based on deep learning principles, tailored for the very short-term, near-real-time global solar radiation (GSR) forecasting. To build the prescribed LSTM model, the partial autocorrelation function is applied to the high resolution, 1 min scaled solar radiation dataset that generates statistically significant lagged predictor variables describing the antecedent behaviour of GSR. The LSTM algorithm is adopted to capture the short- and the long-term dependencies within the GSR data series patterns to accurately predict the future GSR at 1, 5, 10, 15, and 30 min forecasting horizons. This objective model is benchmarked at a solar energy resource rich study site (Bac-Ninh, Vietnam) against the competing counterpart methods employing other deep learning, a statistical model, a single hidden layer and a machine learning-based model. The LSTM model generates satisfactory predictions at multiple-time step horizons, achieving a correlation coefficient exceeding 0.90, outperforming all of the counterparts. In accordance with robust statistical metrics and visual analysis of all tested data, the study ascertains the practicality of the proposed LSTM approach to generate reliable GSR forecasts. The Diebold–Mariano statistic test also shows LSTM outperforms the counterparts in most cases. The study confirms the practical utility of LSTM in renewable energy studies, and broadly in energy-monitoring devices tailored for other energy variables (e.g., hydro and wind energy).
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Molecular Diversity Preservation International
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  • 5
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    Diterpenoids from Euphorbia neriifolia (2012)
    Elsevier
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    Publication Date: 2012-03-01
    Print ISSN: 0031-9422
    Electronic ISSN: 1873-3700
    Topics: Biology , Chemistry and Pharmacology
    Published by Elsevier
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  • 6
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    The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method (2020)
    Molecular Diversity Preservation International
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    Publication Date: 2020-03-27
    Description: In the modern world, the computation of vague data is a challenging job. Different theories are presented to deal with such situations. Amongst them, fuzzy set theory and its extensions produced remarkable results. Samrandache extended the theory to a new horizon with the neutrosophic set (NS), which was further extended to interval neutrosophic set (INS). Neutrosophic cubic set (NCS) is the generalized version of NS and INS. This characteristic makes it an exceptional choice to deal with vague and imprecise data. Aggregation operators are key features of decision-making theory. In recent times several aggregation operators were defined in NCS. The intent of this paper is to generalize these aggregation operators by presenting neutrosophic cubic generalized unified aggregation (NCGUA) and neutrosophic cubic quasi-generalized unified aggregation (NCQGUA) operators. The accuracy and precision are a vital tool to minimize the potential threat in decision making. Generally, in decision making methods, alternatives and criteria are considered to evaluate the better outcome. However, sometimes the decision making environment has more components to express the problem completely. These components are named as the state of nature corresponding to each criterion. This complex frame of work is dealt with by presenting the multi-expert decision-making method (MEDMM).
    Electronic ISSN: 2073-8994
    Topics: Mathematics
    Published by Molecular Diversity Preservation International
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  • 7
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    M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing (2020)
    Molecular Diversity Preservation International
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    Publication Date: 2020-05-03
    Description: Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events that are not restricted to only values of a given time point but also include all values within certain time intervals (i.e., the phase term). In such decision-making problems, the complex fuzzy theory allows us to observe both the amplitude and phase values of an event, thus resulting in better performance. However, one of the limitations of the existing M-CFIS is the rule base that may be redundant to a specific dataset. In order to handle the problem, we propose a new Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing called M-CFIS-R. Several fuzzy similarity measures such as Complex Fuzzy Cosine Similarity Measure (CFCSM), Complex Fuzzy Dice Similarity Measure (CFDSM), and Complex Fuzzy Jaccard Similarity Measure (CFJSM) together with their weighted versions are proposed. Those measures are integrated into the M-CFIS-R system by the idea of granular computing such that only important and dominant rules are being kept in the system. The difference and advantage of M-CFIS-R against M-CFIS is the usage of the training process in which the rule base is repeatedly changed toward the original base set until the performance is better. By doing so, the new rule base in M-CFIS-R would improve the performance of the whole system. Experiments on various decision-making datasets demonstrate that the proposed M-CFIS-R performs better than M-CFIS.
    Electronic ISSN: 2227-7390
    Topics: Mathematics
    Published by Molecular Diversity Preservation International
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  • 8
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    Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach (2020)
    Taylor & Francis
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    Publication Date: 2020-08-11
    Print ISSN: 0262-6667
    Electronic ISSN: 2150-3435
    Topics: Geography
    Published by Taylor & Francis
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  • 9
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    Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms (2020)
    Elsevier
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    Publication Date: 2020-10-01
    Print ISSN: 1364-0321
    Electronic ISSN: 1879-0690
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Elsevier
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  • 10
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    Potent in Vitro α-Glucosidase Inhibition of Secondary Metabolites Derived from Dryopteris cycadina (2019)
    Molecular Diversity Preservation International
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    Publication Date: 2019-01-24
    Description: α-glucosidase is responsible for the hydrolysis of complex carbohydrates into simple absorbable glucose and causes postprandial hyperglycemia. α-glucosidase inhibition is thus the ideal target to prevent postprandial hyperglycemia. The present study was therefore designed to analyze the effects of various compounds isolated from Dryopteris cycadina against α-glucosidase including β-Sitosterol 1, β-Sitosterol3-O-β-d-glucopyranoside 2, 3, 5, 7-trihydroxy-2-(p-tolyl) chorman-4-one 3, Quercetin-3-0-β-d-glucopyranoside (3/→0-3///)- β-d- Quercetin -3-0- β –d-galactopyranoside 4 and 5, 7, 4/-Trihydroxyflavon-3-glucopyranoid 5. The in vitro spectrophotometric method was used for the analysis of test compounds against possible inhibition. Similarly, molecular docking studies were performed using the MOE software. These compounds showed concentration-dependent inhibition on α-glucosidase, and compounds 1 (IC50: 143 ± 0.47 µM), 3 (IC50:133 ± 6.90 µM) and 5 (IC50: 146 ± 1.93 µM) were more potent than the standard drug, acarbose (IC50: 290 ± 0.54 µM). Computational studies of these compounds strongly supported the in vitro studies and showed strong binding receptor sensitivity. In short, the secondary metabolites isolated from D. cycadina demonstrated potent α-glucosidase inhibition that were supported by molecular docking with a high docking score.
    Electronic ISSN: 1420-3049
    Topics: Chemistry and Pharmacology
    Published by Molecular Diversity Preservation International
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