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Radioactive wastes are generated from a wide range of sources, including the power industry, and medical and scientific research institutions, presenting a range of challenges in dealing with a diverse set of radionuclides of varying concentrations. Conditioning technologies are essential for the encapsulation and immobilisation of these radioactive wastes, forming the initial engineered barrier required for their transportation, storage and disposal. The need to ensure the long term performance of radioactive waste forms is a key driver of the development of advanced conditioning technologies

Radioactive waste disposal -- Evaluation. --- Radioactive waste disposal -- Handbooks, manuals, etc. --- Radioactive waste disposal. --- Radioactive waste disposal --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Environmental Engineering --- Radioactive waste canisters --- Equipment and supplies --- Nuclear waste disposal --- Nuclear engineering --- Radioactivity --- Refuse and refuse disposal --- Radioactive pollution --- Canisters, Radioactive waste --- Nuclear waste canisters --- Spent nuclear fuel canisters --- Spent reactor fuel canisters --- Waste canisters, Radioactive --- Containers --- Safety measures

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The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss–Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.

Information technology industries --- multiple instance learning --- support vector machine --- DC optimization --- nonsmooth optimization --- achievement scalarizing functions --- interactive method --- multiobjective optimization --- spent nuclear fuel disposal --- non-smooth optimization --- biased-randomized algorithms --- heuristics --- soft constraints --- DC function --- abs-linearization --- DCA --- Gauss-Newton method --- nonsmooth equations --- nonlinear complementarity problem --- B-differential --- superlinear convergence --- global convergence --- stochastic programming --- stochastic hydrothermal UC problem --- parallel computing --- asynchronous computing --- level decomposition

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The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss–Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.

multiple instance learning --- support vector machine --- DC optimization --- nonsmooth optimization --- achievement scalarizing functions --- interactive method --- multiobjective optimization --- spent nuclear fuel disposal --- non-smooth optimization --- biased-randomized algorithms --- heuristics --- soft constraints --- DC function --- abs-linearization --- DCA --- Gauss–Newton method --- nonsmooth equations --- nonlinear complementarity problem --- B-differential --- superlinear convergence --- global convergence --- stochastic programming --- stochastic hydrothermal UC problem --- parallel computing --- asynchronous computing --- level decomposition --- n/a --- Gauss-Newton method

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Flow analysis is an automatic, precise and fast way to perform analytical tests. Flow instruments are used for clinical and pharmaceutical analyses, quality control of industrial products, monitoring of environmental pollution and many other fields. The book presents the latest methodological, technical and instrumental achievements in flow analysis. It shows new possibilities for the miniaturization and full mechanization of flow systems, together with examples of their interesting application. The proposed solutions contribute to reducing the amount of used reagents and waste, as well as increasing the safety of working with hazardous reagents, resulting in modern devices operating in accordance with the principles of green chemistry. A number of innovative methods of processing and measuring analytical samples have also been described. The book very well reflects the current state of flow analysis and development directions.

Research & information: general --- cholesterol --- serum samples --- lab-on-valve --- automation --- enzymatic reaction --- neonicotinoid --- thiacloprid --- solid-phase spectroscopy --- optosensor --- luminescence --- bioaccessibility --- dog food --- dog nutrition --- dynamic extraction --- flow analysis --- kinetic profile --- zinc --- nuclear waste --- spent nuclear fuel --- ß-emitting nuclides --- 90Sr --- flow injection --- ICP-DRC-MS --- flow synthesis --- flow reactors --- flow-injection analysis --- flow techniques --- radionuclides --- radiochemical separation --- environmental monitoring --- nuclear emergency preparedness --- radioactive waste characterization --- medical isotope production --- titration --- Fe(III), Fe(II) determination --- speciation analysis --- Lab-In-Syringe --- automation of sample pretreatment --- potentials and troubles --- system setup and operation modes --- tips and tricks in method development --- 3D printing of instrument elements --- histidine --- random human urine --- zone fluidics --- o-phthalaldehyde --- derivatization --- stopped-flow --- fluorimetry --- SI-LAV --- mono-segmented flow --- in-line dilution --- in-line single-standard calibration --- in-line standard addition --- albumin --- glucose --- creatinine --- flow method --- chitosan --- catalyst particles --- micron-size --- sampling study --- p-nitrophenol reduction --- preconcentration --- evaporation --- sequential injection analysis --- paired emitter–detector diode detector --- contactless conductivity detector --- flow-based analysis --- simultaneous detection --- sequential detection --- flow chemistry

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Flow analysis is an automatic, precise and fast way to perform analytical tests. Flow instruments are used for clinical and pharmaceutical analyses, quality control of industrial products, monitoring of environmental pollution and many other fields. The book presents the latest methodological, technical and instrumental achievements in flow analysis. It shows new possibilities for the miniaturization and full mechanization of flow systems, together with examples of their interesting application. The proposed solutions contribute to reducing the amount of used reagents and waste, as well as increasing the safety of working with hazardous reagents, resulting in modern devices operating in accordance with the principles of green chemistry. A number of innovative methods of processing and measuring analytical samples have also been described. The book very well reflects the current state of flow analysis and development directions.

Research & information: general --- cholesterol --- serum samples --- lab-on-valve --- automation --- enzymatic reaction --- neonicotinoid --- thiacloprid --- solid-phase spectroscopy --- optosensor --- luminescence --- bioaccessibility --- dog food --- dog nutrition --- dynamic extraction --- flow analysis --- kinetic profile --- zinc --- nuclear waste --- spent nuclear fuel --- ß-emitting nuclides --- 90Sr --- flow injection --- ICP-DRC-MS --- flow synthesis --- flow reactors --- flow-injection analysis --- flow techniques --- radionuclides --- radiochemical separation --- environmental monitoring --- nuclear emergency preparedness --- radioactive waste characterization --- medical isotope production --- titration --- Fe(III), Fe(II) determination --- speciation analysis --- Lab-In-Syringe --- automation of sample pretreatment --- potentials and troubles --- system setup and operation modes --- tips and tricks in method development --- 3D printing of instrument elements --- histidine --- random human urine --- zone fluidics --- o-phthalaldehyde --- derivatization --- stopped-flow --- fluorimetry --- SI-LAV --- mono-segmented flow --- in-line dilution --- in-line single-standard calibration --- in-line standard addition --- albumin --- glucose --- creatinine --- flow method --- chitosan --- catalyst particles --- micron-size --- sampling study --- p-nitrophenol reduction --- preconcentration --- evaporation --- sequential injection analysis --- paired emitter–detector diode detector --- contactless conductivity detector --- flow-based analysis --- simultaneous detection --- sequential detection --- flow chemistry