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The North American freshwater fish fauna is the most diverse and thoroughly researched temperate fish fauna in the world. Ecology of North American Freshwater Fishes is the only textbook to provide advanced undergraduate and graduate students and researchers with an up-to-date and integrated view of the ecological and evolutionary concepts, principles, and processes involved in the formation and maintenance of this fauna. Ecology of North American Freshwater Fishes provides readers with a broad understanding of why specific species and assemblages occur in particular places. Additionally, the text explores how individuals and species interact with each other and with their environments, how such interactions have been altered by anthropogenic impacts, and the relative success of efforts to restore damaged ecosystems.This book is designed for use in courses related to aquatic and fish ecology, fish biology, ichthyology, and related advanced ecology and conservation courses, and is divided into five sections for ease of use. Chapter summaries, supplemental reading lists, online sources, extensive figures, and color photography are included to guide readers through the material and facilitate student learning.Part 1: Faunal origins, evolution, and diversityPresents a broad picture-both spatially and temporally-of the derivation of the fauna, including global and regional geological and climatological processes and their effects on North American fishes.Part 2: Formation, maintenance, and persistence of local populations and assemblagesFocuses on how local fish populations and assemblages are formed and how they persist, or not, through time. Part 3: Form and functionDeals with the relationship of body form and life history patterns as they are related to ecological functions. Part 4: Interactions among individuals and speciesDiscusses the numerous interactions among individuals and species through communication, competition, predation, mutualism, and facilitation. Part 5: Issues in conservationFocuses on several primary conservation issues such as flow alterations and the increasing biotic homogenization of faunas.

Freshwater fishes --- Fishes, Fresh-water --- Fresh-water fishes --- Inland fishes --- Inland water fishes --- Fishes --- Freshwater animals --- Ecology --- advanced ecology. --- anthropogenic impacts. --- biology textbooks. --- biotic homogenization. --- climatological processes. --- coastal. --- conservation. --- damaged ecosystems. --- ecology. --- engaging. --- environment. --- environmentalism. --- evolutionary concepts. --- facilitation. --- faunal origins. --- fish biology. --- fish. --- fishes. --- flow alterations. --- freshwater fish species. --- geological processes. --- ichthyology. --- life sciences. --- local populations. --- mutualism. --- nature. --- predation. --- science. --- specific species. --- swampland. --- temperate fish fauna. --- zoology.

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This book is a collection of a series of articles on several aspects of coastal fish biology and ecology. Coastal fish are key components of marine ecosystems, and the aim of this book is to present relevant research on these wonderful animals and to provide insights for future research in this field.

Research & information: general --- Biology, life sciences --- Zoology & animal sciences --- Alexandria pompano --- Slender sunfish --- Kitefin shark --- Crested oarfish --- Barracudina --- eastern Mediterranean Sea --- eastern Sicily --- Batoidea --- elasmobranchs --- diet --- coastal fishery --- fish assemblage --- lower reaches --- Nakdong River --- estuary weir --- marine juveniles --- Trachipteridae --- Ponza Island --- upwelling --- plankton diversity --- Batesian mimicry --- fish eggs --- environmental factors --- spatial factors --- generalized additive model --- remote sensing --- commercial fish species --- Mediterranean Sea --- environmental health --- heavy metals --- biomarkers --- benthic fish --- molecular tools --- cytochrome b --- ribosomal protein gene S7 --- Gobius cruentatus --- Gobius geniporus --- genetic structure --- quantitative fatty acid signature analysis --- aquatic food webs --- dietary estimation --- BRUV --- Ross Sea --- video sampling --- Antarctica --- coastal ecosystem --- video monitoring --- Tropical Eastern Pacific fish assemblage --- Galapagos --- water quality --- anthropogenic pressure --- European hake --- Merluccius merluccius --- fecundity --- somatic indices --- Adriatic Sea --- L50 --- invasive species --- non-indigenous species --- biological control --- prey-predator interactions --- Alexandria pompano --- Slender sunfish --- Kitefin shark --- Crested oarfish --- Barracudina --- eastern Mediterranean Sea --- eastern Sicily --- Batoidea --- elasmobranchs --- diet --- coastal fishery --- fish assemblage --- lower reaches --- Nakdong River --- estuary weir --- marine juveniles --- Trachipteridae --- Ponza Island --- upwelling --- plankton diversity --- Batesian mimicry --- fish eggs --- environmental factors --- spatial factors --- generalized additive model --- remote sensing --- commercial fish species --- Mediterranean Sea --- environmental health --- heavy metals --- biomarkers --- benthic fish --- molecular tools --- cytochrome b --- ribosomal protein gene S7 --- Gobius cruentatus --- Gobius geniporus --- genetic structure --- quantitative fatty acid signature analysis --- aquatic food webs --- dietary estimation --- BRUV --- Ross Sea --- video sampling --- Antarctica --- coastal ecosystem --- video monitoring --- Tropical Eastern Pacific fish assemblage --- Galapagos --- water quality --- anthropogenic pressure --- European hake --- Merluccius merluccius --- fecundity --- somatic indices --- Adriatic Sea --- L50 --- invasive species --- non-indigenous species --- biological control --- prey-predator interactions

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In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, it is very common that available data samples are not enough to derive useful supervised or unsupervised classifiers. All these issues are commonly referred to as the low-quality data problem. This book collects novel contributions on machine learning methods for low-quality datasets, to contribute to the dissemination of new ideas to solve this challenging problem, and to provide clear examples of application in real scenarios.

Information technology industries --- open contours --- similarly shaped fish species --- Discrete Cosine Transform (DCT) --- Discrete Fourier Transform (DFT) --- Extreme Learning Machines (ELM) --- feature engineering --- small data-sets --- optimization --- machine learning --- preprocessing --- image generation --- weighted interpolation map --- binarization --- single sample per person --- root canal measurement --- multifrequency impedance --- data augmentation --- neural network --- functional magnetic resonance imaging --- independent component analysis --- deep learning --- recurrent neural network --- functional connectivity --- episodic memory --- small sample learning --- feature selection --- noise elimination --- space consistency --- label correlations --- empirical mode decomposition --- sparse representations --- tensor decomposition --- tensor completion --- machine translation --- pairwise evaluation --- educational data --- small datasets --- noisy datasets --- smart building --- Internet of Things (IoT) --- Markov Chain Monte Carlo (MCMC) --- ontology --- graph model --- Artificial Neural Network --- Discriminant Analysis --- dengue --- feature extraction --- sound event detection --- non-negative matrix factorization --- ultrasound images --- shadow detection --- shadow estimation --- auto-encoders --- semi-supervised learning --- prediction --- feature importance --- feature elimination --- hierarchical clustering --- Parkinson’s disease --- few-shot learning --- permutation-variable importance --- topological data analysis --- persistent entropy --- support-vector machine --- data science --- intelligent decision support --- social vulnerability --- gender-gap --- digital-gap --- COVID19 --- policy-making support --- artificial intelligence --- imperfect dataset

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This Special Issue includes original research and reviews of the literature focusing on food labels, which are a tool to promote public health that, at the same time, may represent a marketing tool and may influence consumers’ perception of food quality.

Research & information: general --- Biology, life sciences --- Food & society --- nutritional labelling --- food choices --- comprehension --- perception --- Dutch consumers --- food policies --- front-of-pack nutrition label --- traffic light --- health star --- Nutri-Score --- reference intake --- warning label --- serving size --- portion size --- food labeling --- nutrition facts label --- back of pack --- front of pack --- health framing --- breakfast cereals --- food labelling --- nutrition declaration --- nutritional quality --- gluten free --- nutrition and health claims --- salt information --- salt content --- salt label --- sodium label --- sodium information --- nutritional information --- nutritional labeling --- salt information use --- nutrition knowledge --- nutrition facts --- food cue reactivity --- sugar --- eye tracking --- priming --- color --- nutrition facts panel --- food label --- consumer behavior --- food decision making --- food packaging --- food choice --- nutrition --- front-of-pack labelling --- health star rating --- nutrition labelling --- consumer perception --- qualitative research --- nutrition labeling --- food processing --- nutrition policy --- Spain --- food analysis --- dietary sugars --- reformulation --- organic food --- health food --- nutrient content claims --- health claims --- nutrient profile --- menu labeling --- food and nutrition policy --- restaurant chains --- energy --- obesity --- quality carbohydrate --- dietary fibre --- whole grains --- glycemic index --- latent class modeling --- traditional meat product, mangalica sausage --- online nutrition intervention --- theory of planned behavior --- nutrition labels --- consumer attitude --- perceived healthiness --- product attributes --- healthy food --- consumer choice --- extra virgin olive oil --- hedonic price model --- country of origin --- energy density --- children --- food supply --- front-of-pack label --- discretionary --- entomophagy --- insect-based foods --- edible insects --- food sustainability --- perception of food --- novel food --- disgust --- neophobia --- variety seeking --- food technology neophobia --- consumer studies --- behavior --- labelling --- carbohydrate quality --- ICQC --- consensus --- food label use --- front-of-package (FOP) labels --- back-of-package (BOP) labels --- nutrition claims --- choice experiment --- willingness to pay (WTP) --- consumers' preferences --- sustainability label --- nutrition and health claim --- fish species --- allergen labelling --- Latin America --- packaged food products --- supermarket circulars --- ultra-processed --- pasta --- nutritional composition --- nutritional labelling --- food choices --- comprehension --- perception --- Dutch consumers --- food policies --- front-of-pack nutrition label --- traffic light --- health star --- Nutri-Score --- reference intake --- warning label --- serving size --- portion size --- food labeling --- nutrition facts label --- back of pack --- front of pack --- health framing --- breakfast cereals --- food labelling --- nutrition declaration --- nutritional quality --- gluten free --- nutrition and health claims --- salt information --- salt content --- salt label --- sodium label --- sodium information --- nutritional information --- nutritional labeling --- salt information use --- nutrition knowledge --- nutrition facts --- food cue reactivity --- sugar --- eye tracking --- priming --- color --- nutrition facts panel --- food label --- consumer behavior --- food decision making --- food packaging --- food choice --- nutrition --- front-of-pack labelling --- health star rating --- nutrition labelling --- consumer perception --- qualitative research --- nutrition labeling --- food processing --- nutrition policy --- Spain --- food analysis --- dietary sugars --- reformulation --- organic food --- health food --- nutrient content claims --- health claims --- nutrient profile --- menu labeling --- food and nutrition policy --- restaurant chains --- energy --- obesity --- quality carbohydrate --- dietary fibre --- whole grains --- glycemic index --- latent class modeling --- traditional meat product, mangalica sausage --- online nutrition intervention --- theory of planned behavior --- nutrition labels --- consumer attitude --- perceived healthiness --- product attributes --- healthy food --- consumer choice --- extra virgin olive oil --- hedonic price model --- country of origin --- energy density --- children --- food supply --- front-of-pack label --- discretionary --- entomophagy --- insect-based foods --- edible insects --- food sustainability --- perception of food --- novel food --- disgust --- neophobia --- variety seeking --- food technology neophobia --- consumer studies --- behavior --- labelling --- carbohydrate quality --- ICQC --- consensus --- food label use --- front-of-package (FOP) labels --- back-of-package (BOP) labels --- nutrition claims --- choice experiment --- willingness to pay (WTP) --- consumers' preferences --- sustainability label --- nutrition and health claim --- fish species --- allergen labelling --- Latin America --- packaged food products --- supermarket circulars --- ultra-processed --- pasta --- nutritional composition