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Gotowa bibliografia na temat „Bio-statistics”

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Data publikacji: 31 sierpnia 2024

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Artykuły w czasopismach na temat "Bio-statistics"

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Ahmad, Mobin. "Impact of Bio-statistics in Medical Sciences". IOSR Journal of Dental and Medical Sciences 16, nr 07 (lipiec 2017): 63–66. http://dx.doi.org/10.9790/0853-1607026366.

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Agarwal, Anil Kumar. "What do medical students think about bio statistics education?" International Journal of Advanced Community Medicine 2, nr 2 (1.05.2019): 163–64. http://dx.doi.org/10.33545/comed.2019.v2.i2c.22.

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Tetere, Vineta, i Sandija Zeverte-Rivza. "Closing Data Gaps to Measure the Bioeconomy in the EU". Biomass 3, nr 2 (11.04.2023): 108–22. http://dx.doi.org/10.3390/biomass3020008.

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The expansion of bio-based value chains is prioritized through various European Union (EU) policy initiatives. Due to the growing awareness of the importance of a sustainable bioeconomy in Europe, the need to increase the availability and quality of statistics is increasing. There are several essential aspects lacking, including (i) comprehensive databases and statistics for bio-based sectors; (ii) transparent methodology for bio-based data collection; and (iii) integrated value chain data and indicators that illustrate the flows of different bio-based commodities. The aim of this paper is to develop a bio-based material flow monitor to measure the physical contribution of industries to the bioeconomy. The material flow monitor describes physical material flows (including biomass) to, from, and within the economy. It is recorded in the form of supply and use tables. To measure the bioeconomy, the BioSAM database, along with disaggregated commodities and activities, are used. Data regarding waste generation/treatment and CO2 emissions/sequestrations are added to assess the impact on climate change. The results indicate that the bioeconomy in the EU is underreported due to a lack of data, leading to an insufficient understanding of its contribution to the economy. It can also be concluded that the data from the BioSAM tables are the most complete and have the highest disaggregation level for commodities and sectors, allowing one to measure the significance of the bioeconomy.
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Ronzon, Tévécia, Stephan Piotrowski, Saulius Tamosiunas, Lara Dammer, Michael Carus i Robert M’barek. "Developments of Economic Growth and Employment in Bioeconomy Sectors across the EU". Sustainability 12, nr 11 (2.06.2020): 4507. http://dx.doi.org/10.3390/su12114507.

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The development of the bioeconomy—or the substitution of fossil-based materials and energy by bio-based solutions—is considered a strategic economic orientation by the European Commission and its Green Deal. This paper presents a methodology to monitor the contribution of the bioeconomy to jobs and growth within the European Union (EU) and its Member States. Classified as an ‘‘output-based’’ approach, the methodology relies on expert estimations of the biomass content of the bio-based materials produced in the EU and the subsequent calculation of ‘‘sectoral’’ bio-based shares by using Eurostat statistics on the production of manufactured goods (prom). Sectoral shares are applied to indicators of employment, and value added is reported in Eurostat–Structural business statistics. This paper updates the methodology and time series presented in 2018. The bioeconomy of the EU (post-Brexit composition) employed around 17.5 million people and generated €614 billion of value added in 2017. The study evidences structural differences between EU national bioeconomies, which become more pronounced over time, especially in terms of the level of apparent labour productivity of national bioeconomies. Finally, this paper describes cases of transition over the 2008–2017 period.
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Van De Geer, Sara A., i Hans C. Van Houwelingen. "High-dimensional data: p >> n in mathematical statistics and bio-medical applications". Bernoulli 10, nr 6 (grudzień 2004): 939–43. http://dx.doi.org/10.3150/bj/1106314843.

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Pescim, Rodrigo, i Luiz R. Nakamura. "Special issue on (bio)statistics and biometrics in the age of the digital revolution". Brazilian Journal of Biometrics 42, nr 2 (15.04.2024): 100–102. http://dx.doi.org/10.28951/bjb.v42i2.732.

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This special issue explores the thematic areas presented at the 67th Reunião da Região Brasileira da Sociedade Internacional de Biometria (RBras) and 20th Simpósio de Estatística Aplicada à Experimentação Agronômica (SEAGRO).
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Pal, Anusuya, Amalesh Gope i Germano Iannacchione. "Temperature and Concentration Dependence of Human Whole Blood and Protein Drying Droplets". Biomolecules 11, nr 2 (5.02.2021): 231. http://dx.doi.org/10.3390/biom11020231.

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The drying of bio-colloidal droplets can be used in many medical and forensic applications. The whole human blood is the most complex bio-colloid system, whereas bovine serum albumin (BSA) is the simplest. This paper focuses on the drying characteristics and the final morphology of these two bio-colloids. The experiments were conducted by varying their initial concentrations, and the solutions were dried under various controlled substrate temperatures using optical and scanning electron microscopy. The droplet parameters (the contact angle, the fluid front, and the first-order image statistics) reveal the drying process’s unique features. Interestingly, both BSA and blood drying droplets’ contact angle measurements show evidence of a concentration-driven transition as the behavior changes from non-monotonic to monotonic decrease. This result indicates that this transition behavior is not limited to multi-component bio-colloid (blood) only, but may be a phenomenon of a bio-colloidal solution containing a large number of interacting components. The high dilution of blood behaves like the BSA solution. The ring-like deposition, the crack morphology, and the microstructures suggest that the components have enough time to segregate and deposit onto the substrate under ambient conditions. However, there is insufficient time for evaporative-driven segregation to occur at elevated temperatures, as expected.
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Hastari, Bismi Widi, Dyah Gandasari i Harry Harry. "Analysis The Level Of Cattleman’s Knowledge Using The T-Test And Wilcoxon In Maju Farmer Group". Jurnal Penyuluhan Pertanian 15, nr 1 (2.11.2020): 1. http://dx.doi.org/10.51852/-.v15i1.428.

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Tani Maju farmer group is one of the farming groups located in Rorotan Village, Cilincing District, North Jakarta City Administration. This group has a lot of sheep and advanced management. Despite they manage their sheep well, they are not well informed on how to manage the sewage from their castles (faces and urine). So far, they just throw away the sewage or gave them to fellow farmers. This study aimed to analyze the level of farmers' knowledge in making use of sheep's urine to be degraded into bio urine in the Maju Farmer group. Data was collected through the pre-test and post-test. The data were analyzed using paired t-test and Wilcoxon statistical software (IBM SPSS Statistics 25). The results of the study showed that farmers' knowledge in sewage (Urine) management increased; there is a significant difference in farmers' level of knowledge in bio urine production before and after bio urine extension.
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Hastari, Bismi Widi, Dyah Gandasari i Harry Harry. "Analysis The Level Of Cattleman’s Knowledge Using The T-Test And Wilcoxon In Maju Farmer Group". Jurnal Penyuluhan Pertanian 15, nr 1 (2.11.2020): 1–7. http://dx.doi.org/10.51852/jpp.v15i1.428.

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Tani Maju farmer group is one of the farming groups located in Rorotan Village, Cilincing District, North Jakarta City Administration. This group has a lot of sheep and advanced management. Despite they manage their sheep well, they are not well informed on how to manage the sewage from their castles (faces and urine). So far, they just throw away the sewage or gave them to fellow farmers. This study aimed to analyze the level of farmers' knowledge in making use of sheep's urine to be degraded into bio urine in the Maju Farmer group. Data was collected through the pre-test and post-test. The data were analyzed using paired t-test and Wilcoxon statistical software (IBM SPSS Statistics 25). The results of the study showed that farmers' knowledge in sewage (Urine) management increased; there is a significant difference in farmers' level of knowledge in bio urine production before and after bio urine extension.
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Castillo-Atoche, Alejandro, J. Vazquez-Castillo, E. Osorio-de-la-Rosa, J. C. Heredia-Lozano, Jaime Aviles Vinas, Renan Quijano Cetina i Johan J. Estrada-Lopez. "An Energy-Saving Data Statistics-Driven Management Technique for Bio-Powered Indoor Wireless Sensor Nodes". IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–10. http://dx.doi.org/10.1109/tim.2021.3063187.

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Rozprawy doktorskie na temat "Bio-statistics"

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Liu, Fangda, i 刘芳达. "Two results in financial mathematics and bio-statistics". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46976437.

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Duforet-Frebourg, Nicolas. "Statistiques bayésiennes en génétique des populations : modèle à facteurs et processus gaussiens pour étudier la variation génétique neutre et adaptative". Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENS015/document.

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Nous présentons dans cette thèse plusieurs travaux de statistiques bayésiennes appliquées à la génétique des populations. La génétique des populations a pour but d'expliquer les variations génétiques au sein d'une espèce, et d'inférer les processus ayant conduits à ces variations. Pour cela, des données génétiques massives sont utilisées et il y a un besoin grandissant de méthodes statistiques pour traiter ces données. Le travail de cette thèse s'inscrit dans cet effort de modélisation statistique pour répondre aux enjeux de la génétique des populations, et de la biologie de l'évolution. Nous nous intéressons tout particulièrement à la détection de traces d'adaptation locale dans les génomes, et à l'inférence des variations spatiales non stationnaires.Un modèle d'analyse factorielle bayésien est proposé pour détecter les traces d'adaptation locale. Nous comparons notre approche aux méthodes existantes, et démontrons qu'elle permet d'obtenir un plus faible taux de fausses découvertes. Nous présentons également un modèle bayésien basé sur des processus gaussiens pour caractériser les variations génétiques spatiales dans l'aire de répartition d'une espèce. Les performances de ces méthodes sont démontrées sur différents exemples issus de simulations ou de données. Plusieurs logiciels open source qui implémentent ces méthodes ont été développés pendant la thèse
In this thesis we present several works related to Bayesian statistics in population genetics. Population genetics aims at explaining genetic variation within natural species, and infer the different processes that lead to current genetic variation. Large scale genomic datasets are produced, and there is an increasing need of statistical methods to extract information from these datasets. My thesis work is part of this statistical modeling effort to answer to evolutionary biology and population genetic questions. We are interested in detecting footprints of local adaptation without, and infering non-stationary patterns of spatial variation. A Bayesian factor model is used to detect genes involved in local adaptation. We compare our factor model to existing methods, and show that it can reduce the false discovery rate. We also present a Bayesian model based on Gaussian processes to caracterize spatial genetic variations within species. The performances of these methods are tested on simulations and real datasets. Several open source software are available online
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Hadj, Amor Khaoula. "Classification et inférence de réseaux de gènes à partir de séries temporelles très courtes : application à la modélisation de la mémoire transcriptionnelle végétale associée à des stimulations sonores répétées". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES037.

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Les avancées des nouvelles technologies de séquençage ont ouvert l'accès aux données d'expression dynamique des gènes à l'échelle du génome. Les approches ensemblistes classiques, habituellement utilisées en biologie, ne permettent pas la compréhension des mécanismes moléculaires complexes sous-jacents. Par conséquent, le développement de méthodes analytiques permettant d'appréhender de manière plus satisfaisante ce type de données représente un défi majeur pour la biologie contemporaine. Cependant, les coûts techniques et expérimentaux associés aux données de transcriptomiques limitent la dimension des jeux de données réels et, par conséquent, leurs méthodes d'analyse. Au cours de ma thèse, à l'interface entre les mathématiques appliquées et la biologie végétale, j'ai travaillé sur la mise en place d'une méthode d'inférence de réseaux de régulations dynamiques adaptée à un jeu de données réelles et originales décrivant l'effet de stimulations sonores répétées sur l'expression des gènes d'Arabidopsis thaliana. J'ai ainsi proposé une méthode de classification adaptée aux séries temporelles très courtes qui regroupe les gènes par variations temporelles, permettant d'ajuster la dimension des données à l'inférence de réseau. La comparaison de cette méthode aux méthodes classiques a permis de montrer qu'elle était la plus adaptée aux séries temporelles très courtes avec un pas de temps irrégulier. Pour l'inférence de réseau dynamique, j'ai proposé un modèle qui prend en compte la variabilité intra-classe et qui intègre un terme constant décrivant explicitement la stimulation externe du système. L'évaluation de ces méthodes de classification et d'inférence a été effectuée sur des données de séries temporelles simulées et réelles, ce qui a permis d'établir la bonne qualité des performance en terme de précision, de rappel et d'erreur de prédiction. L'implémentation de ces méthodes a permis d'étudier le priming de la réponse immunitaire d'Arabidopsis thaliana par des ondes sonores répétées. Nous avons montré l'existence de la formation d'une mémoire transcriptionnelle associée aux stimulations qui fait passer la plante d'un état naïf à un état primé et plus résistant en 3 jours. Cet état résistant, entretenu d'une part par les stimulations et d'autre part par des cascades de facteurs de transcription, augmente la résistance immunitaire de la plante en déclenchant l'expression de gènes de résistance chez la plante saine, en diversifiant le nombre de gènes participant à la réponse immunitaire et en intensifiant l'expression de nombreux gènes de résistance. L'inférence du réseau décrivant la mémoire transcriptionnelle associée aux stimulations sonores répétées nous a permis d'identifier les propriétés qu'elle confère à la plante. Ces prédictions, validées expérimentalement, ont montré par exemple que l'augmentation de la cadence entre stimulations ne permettait pas d'obtenir un gain de résistance plus conséquent et que la mémoire transcriptionnelle ne dure que 1.5 jours après la dernière stimulation
Advancements in new sequencing technologies have paved the way for accessing dynamic gene expression data on a genome-wide scale. Classical ensemble approaches traditionally used in biology fall short of comprehending the underlying the complex molecular mechanisms. Consequently, developing analytical methods to understand further such data poses a significant challenge for current biology. However, the technical and experimental costs associated with transcriptomic data severely limit the dimension of real datasets and their analytical methods. Throughout my thesis, at the intersection of applied mathematics and plant biology, I focused on implementing an inference method for dynamic regulatory networks tailored to a real and original dataset describing the effect of repeated acoustic stimulations on genes expressions of Arabidopsis thaliana. I proposed a clustering method adapted to very-short time series that groups genes based on temporal variations, adjusting the data dimension for network inference. The comparison of this method with classical methods showed that it was the most suitable for very-short time series with irregular time points. For the network inference, I proposed a model that takes into account intra-class variability and integrates a constant term explicitly describing the external stimulation of the system. The evaluation of these classification and inference methods was conducted on simulated and real-time series data, which established their high performance in terms of accuracy, recall, and prediction error. The implementation of these methods to study the priming of the immune response of Arabidopsis thaliana through repeated sound waves. We demonstrated the formation of a transcriptional memory associated with stimulations, transitioning the plant from a naïve state to a primed and more resistant state within 3 days. This resistant state, maintained by stimulations and transcription factor cascades, enhances the plant's immune resistance by triggering the expression of resistance genes in healthy plants, diversifying the number of genes involved in the immune response, and intensifying the expression of numerous resistance genes. The inference of the network describing the transcriptional memory associated with repeated sound stimulations allowed us to identify the properties conferred to plants. Experimentally validated predictions showed that increasing the frequency between stimulations does not result in a more significant resistance gain, and the transcriptional memory lasts only 1.5 days after the last stimulation
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CALLEGARO, GIULIA. "Fostering Cell Transformation Assay in carcinogenicity assessment: toward in vitro-in silico bridging". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/158270.

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La valutazione del potenziale carcinogeno delle sostanze chimiche si basa, a livello regolatorio, sul saggio di cancerogenesi sui roditori (OECD, TG 451). La loro diffusa applicabilità è però messa in discussione a causa delle lunghe tempistiche e dei costi associati alla loro esecuzione, e dal potenzialmente limitato valore predittivo verso l'uomo. I Cell Transformation Assays (CTA) sono tra i metodi in vitro più avanzati e standardizzati a livello regolatorio. I CTA riproducono passaggi chiave della trasformazione in vivo; si basano sulla formazione, in seguito al trattamento con un sospetto carcinogeno, di colonie trasformate (o foci), classificate al microscopio da un esperto sulla base di caratteristiche morfologiche standard. I CTA sono impiegati sia per la valutazione del rischio sia nell'ambito della ricerca; tuttavia, per consentirne un maggior utilizzo, alcuni miglioramenti sono auspicabili. Nel presente lavoro sono stati sviluppati due approcci allo scopo di potenziare i saggi CTA. Il primo ha lo scopo di ottimizzare la fase di riconoscimento dei foci trasformati sulla base di caratteristiche morfologiche, spesso affetta da soggettività. Questo obiettivo è stato raggiunto sviluppando algoritmi e metodi statistici per definire in modo quantitativo le caratteristiche morfologiche dei foci. Il secondo approccio ha come obiettivo il miglioramento della comprensione dei meccanismi coinvolti nella trasformazione in vitro, attraverso la caratterizzazione biochimica e molecolare di cellule isolate da foci e durante fasi iniziali della trasformazione. E' stato acquisito un database di immagini di foci ottenuti tramite saggi CTA condotti da EURL ECVAM (JRC), nell'ambito dello studio di prevalidazione, e da ARPA-ER. Sono stati sviluppati: 1) un algoritmo di segmentazione capace di isolare la regione del focus dal monostrato circostante; 2) descrittori statistici delle immagini dei foci, allo scopo di riassumere le caratteristiche di dimensione, crescita multistrato, invasività e grado di eterogeneità dei foci, e spindle-shape delle cellule. I descrittori statistici così definiti sono stati impiegati per costruire modelli di classificazione dei foci, allo scopo di fornire supporto alla classificazione operata dall'esperto. Inoltre è stato possibile studiare l’effetto esercitato dalla concentrazione di due carcinogeni sulla morfologia dei foci trasformati, come catturata dai descrittori statistici introdotti. Allo scopo di migliorare la comprensione dei meccanismi di cancerogenesi in vitro, sono state valutate diverse fasi temporali del processo. Campioni provenienti dalle fasi iniziali del processo di trasformazione e da foci trasformati sono stati analizzati tramite tecniche di biochimica e trascrittomica. Il saggio CTA è un metodo utilizzato ampiamente in accademia per studiare i meccanismi di azione della cancerogenesi chimica; abbiamo sfruttato questa configurazione sperimentale per analizzare i processi coinvolti nella cancerogenesi in vitro indotta da cadmio, cancerogeno umano i cui meccanismi di azione sono ancora non completamente noti. Abbiamo dimostrato che nelle fasi iniziali a seguito di trattamento con cadmio sono coinvolti processi riguardanti l'omeostasi degli ioni Cd2+, Zn2+ e Ca2+, alterazioni del citoscheletro e della segnalazione cellulare. A partire da questi processi di difesa, possono essere intraprese vie non univoche per completare la trasformazione: a fronte dello stesso stimolo possono originarsi foci caratterizzati da diversi fenotipi, che sottendono a diversi profili biochimici/molecolari. L'inclusione nei saggi CTA di una valutazione oggettiva delle caratteristiche morfologiche e della corrispondenza tra il fenotipo dei foci trasformati e le caratteristiche molecolari alla base del processo di trasformazione, rappresenta un significativo avanzamento nella valutazione della cancerogenesi in vitro, componente di un più generale approccio integrato alla valutazione del rischio.
The evaluation of the carcinogenic potential to humans relies at regulatory level on the two-year rodent bioassays (OECD TG451), which are extremely costly in terms of time and animals used, and whose predictive value towards humans has been questioned. The Cell Transformation Assays (CTAs) are the most advanced in vitro methods to identify the chemical carcinogenicity potential, in terms of standardization and validation, and reproduce key stages of in vivo transformation. The endpoint is the formation of transformed colonies (or foci) upon treatment with a carcinogen, which are visually scored by stereomicroscopy, using defined morphological features. These assays offer several advantages in comparison to the in vivo bioassays in rodents, and are used by industry and academia as screening methods for carcinogenicity testing and as a tool for mechanistic studies. Even though OECD Guidance Documents on CTAs have been recently published, further improvements are considered important to enhance the use of the assay. We developed two approaches aiming to: i) increase throughput and reliability of the scoring process, by developing algorithms and statistical methods designed to quantitatively characterize foci morphological features and ii) increase the understanding of in vitro transformation mechanisms, through the molecular characterization of transformed cells from foci, and from initial phases of transformation. A database of digital images of foci from CTAs performed by EURL ECVAM (JRC), in the prevalidation study, and by ARPA-ER, were acquired and foci regions were isolated from the background through an originally developed algorithm. Statistical image descriptors defining the morphological features recognized during visual scoring were developed to cover size, multilayer growth, spindle-shape, invasiveness, and degree of heterogeneity of foci. Statistical models were developed to automatically classify foci, supporting the phase of visual scoring. In addition, exploiting fitted parametric models using defined statistical descriptors, it was possible to estimate the effects of concentrations of tested carcinogens on foci morphologies. To disclose the mechanisms of in vitro transformation, it is crucial to evaluate the process through a temporal approach. Cells from initial phases of exposure to carcinogen and from transformed foci were collected to perform transcriptomic and biochemical analyses of signalling cascades. We exploited this system to study mechanisms involved in cadmium-induced transformation, hence cadmium is an established human carcinogen, but whose mechanisms of action are still not fully understood. During in vitro transformation many processes are involved and non-unique ways to the establishment of transformed cells can be covered. Indeed, we demonstrated that upon the same stimulus, foci characterised by different phenotypes can be induced, and different phenotypes correspond indeed to a specific biochemical/molecular cell clone fingerprint. This approach provides a tool for mechanistic studies and it will allow the comprehension of the links between transformed phenotype of foci and the biochemical fingerprint. An increased mechanistic understanding of in vitro transformation could support an integrated approach based on quantitative scoring of foci and molecular fingerprinting. This advancement will also meet specific recommendations of EURL ECVAM in view of future broader acceptance of these assays.
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BENAZZO, Andrea. "LE SIMULAZIONI DEL PROCESSO COALESCENTE IN GENETICA DI POPOLAZIONI: INFERENZE DEMOGRAFICHE ED EVOLUTIVE". Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2389456.

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The main goal of population genetics is to understand the factors that affect genetic variation within a species. Mathematical models are used to predict the effects on genetic variation of processes such as mutation, recombination, selection, migration and population size changes, but analytical results are difficult to obtain when these processes interact and when equilibrium conditions are not met. In these situations, common in real biological systems especially when recent human activities (e.g., stocking, urbanization, overhunting) perturb natural populations, computer simulations can be very useful. A computer simulation is a virtual experiment in which a model is used to mimic the biological process on a computer to study its properties. It is an excellent tool for understanding the functioning of complex systems. Simulations are generally used to make predictions about populations, validate statistical methods, study the properties of different sampling strategies, and estimate parameters from real data. In this thesis, I applied genetic simulations to address questions intractable with other methods. First, I analyzed the effects of violating the assumption of panmixiamade by “Extende Bayesian Skyline Plot” (EBSP) method. I showed that migration can influence the inferred demographic history of a population, suggesting wrong dynamics. Second, I used genetic simulations to analyse the performance of the EBSP method in reconstructing a population decline and to compare sampling schemes with different proportions of modern and ancient DNA. I identified some properties of the sampling scheme which clearly positively affect the demographic reconstruction, providing some simple hints for planning a genetic study when both modern and ancient samples are available. Third, I familiarized with the “Approximated Bayesian Computation” methodology and I contributed to a review article presenting the main features, with pros and cons, of this approach. Fourth, I applied the ABC procedure to analyze the hybridization history within the genus Chionodraco, and to evaluate the power of ABC in this context. Realistic demographic models were defined and compared, and evidence was found that hybridization occurred only in interglacial periods. Taken together, the results presented in this thesis confirm the importance of genetic simulations in evolutionary biology. If we consider the increasing availability of simulation packages, along with the increasing speed and storage capacity of personal computers and clusters, it is easy to predict that simulations of genetic and genomic data will spread in many fields to better explore more and more realistic, and consequently complex, models.
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Blum, Michael G. B. "Statistique bayésienne et applications en génétique des populations". Habilitation à diriger des recherches, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00766196.

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Les approches statistiques en génétique des populations visent deux objectifs distincts qui sont la description des données et la possibilité d'inférer les processus évolutifs qui ont généré les patrons observés. Le premier chapitre de ce manuscrit décrit nos apports théoriques et méthodologiques concernant le calcul bayésien approché (Approximate Bayesian Computation) qui permet de réaliser l'objectif d'inférence des processus évolutifs. Je décris des résultats asymptotiques qui permettent de décrire des propriétés statistiques du calcul bayésien approché. Ces résultats mettent en évidence à la fois l'intérêt des méthodes dites avec ajustement qui reposent sur des équations de régression et aussi l'intérêt de réduire la dimension des descripteurs statistiques utilisés dans le calcul bayésien approché. Je présente ensuite une méthode originale de calcul bayésien approché qui permet de manière conjointe d'effectuer des ajustements et de réduire la dimension des descripteurs statistiques. Une comparaison des différentes méthodes de réduction de dimension clos le premier chapitre. Le deuxième chapitre est consacré à l'objectif de description des données et se place plus particulièrement dans un cadre spatial. Les méthodes statistiques proposées reposent sur le concept d'isolement par la distance qui est une forme particulière de l'autocorrélation spatiale où la corrélation entre individus décroit avec la distance. Une approche originale de krigeage nous permet de caractériser des patrons d'isolement par la distance non-stationnaire où la manière avec laquelle la corrélation entre individus décroit avec la distance dépend de l'espace. Une deuxième extension que nous proposons est celle d'isolement par la distance anisotrope que nous caractérisons et testons à partir d'une équation de régression. La conclusion de ce manuscrit met l'accent sur les problèmes d'interprétation des résultats statistiques, l'importance de l'échantillonnage et la nécessité de tester l'adéquation des modèles aux données. Je conclus par des perspectives qui se proposent de faire passer l'analyse statistique bayésienne à l'échelle des données massives produites en génétique.
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Abdulgader, Musbah M. "Bio Inspired Evolutionary Fuzzy System for Data Classification". University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1575563281684676.

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Xayaphoummine, Alain. "Simulations et expériences sur le repliement de l'ARN : prédictions statistiques des pseudonoeuds in silico et réalisation de commutateurs ARN par transcription in vitro". Phd thesis, Université Louis Pasteur - Strasbourg I, 2004. http://tel.archives-ouvertes.fr/tel-00221533.

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Modélisation du coût thermodynamique des structures pseudoneuds.
Développement d'un algorithme d'accélération exacte de la dynamique de monte Carlo.
Développement et interfaçage web d'un code de repliement de molécule ARN incluant les motifs pseudoneuds. Rendu cinématique de la dynamique de repliement.
Etude statistique de la prévalence des pseudoneouds dans des séquences biologiques et aléatoires.
Vérification expérimentale du code repliement. Démonstration expérimentale de l'existence d'un super-code guidant pour le repliement natif des ARN.
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Dhifli, Wajdi. "Fouille de Sous-graphes Basée sur la Topologie et la Connaissance du Domaine: Application sur les Structures 3D de Protéines". Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00922209.

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Cette thèse est à l'intersection de deux domaines de recherche en plein expansion, à savoir la fouille de données et la bio-informatique. Avec l'émergence des bases de graphes au cours des dernières années, de nombreux efforts ont été consacrés à la fouille des sous-graphes fréquents. Mais le nombre de sous-graphes fréquents découverts est exponentiel, cela est due principalement à la nature combinatoire des graphes. Beaucoup de sous-graphes fréquents ne sont pas pertinents parce qu'ils sont redondants ou tout simplement inutiles pour l'utilisateur. En outre, leur nombre élevé peut nuire ou même rendre parfois irréalisable toute utilisation ultérieure. La redondance dans les sous-graphes fréquents est principalement due à la similarité structurelle et / ou sémantique, puisque la plupart des sous-graphes découverts diffèrent légèrement dans leur structures et peuvent exprimer des significations similaires ou même identiques. Dans cette thèse, nous proposons deux approches de sélection des sous-graphes représentatifs parmi les fréquents a n d'éliminer la redondance. Chacune des approches proposées s'intéresse à un type spécifique de redondance. La première approche s'adresse à la redondance sémantique où la similarité entre les sous-graphes est mesurée en fonction de la similarité entre les étiquettes de leurs nœuds, en utilisant les connaissances de domaine. La deuxième approche s'adresse à la redondance structurelle où les sous-graphes sont représentés par des descripteurs topologiques définis par l'utilisateur, et la similarité entre les sous-graphes est mesurée en fonction de la distance entre leurs descriptions topologiques respectives. Les principales données d'application de cette thèse sont les structures 3D des protéines. Ce choix repose sur des raisons biologiques et informatiques. D'un point de vue biologique, les protéines jouent un rôle crucial dans presque tous les processus biologiques. Ils sont responsables d'une variété de fonctions physiologiques. D'un point de vue informatique, nous sommes intéressés à la fouille de données complexes. Les protéines sont un exemple parfait de ces données car elles sont faites de structures complexes composées d'acides aminés interconnectés qui sont eux-mêmes composées d'atomes interconnectés. Des grandes quantités de structures protéiques sont actuellement disponibles dans les bases de données en ligne. Les structures 3D des protéines peuvent être transformées en graphes où les acides aminés représentent les nœuds du graphe et leurs connexions représentent les arêtes. Cela permet d'utiliser des techniques de fouille de graphes pour les étudier. L'importance biologique des protéines et leur complexité ont fait d'elles des données d'application appropriées pour cette thèse.
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Marzin, Anahita. "Indicateurs biologiques de la qualité écologique des cours d’eau : variabilités et incertitudes associées". Thesis, Paris, AgroParisTech, 2013. http://www.theses.fr/2013AGPT0002/document.

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Evaluer, maintenir et restaurer les conditions écologiques des rivières nécessitent des mesures du fonctionnement de leurs écosystèmes. De par leur complexité, notre compréhension de ces systèmes est imparfaite. La prise en compte des incertitudes et variabilités liées à leur évaluation est donc indispensable à la prise de décision des gestionnaires. En analysant des données nationales (~ 1654 sites), les objectifs principaux de cette thèse étaient de (1) tester certaines hypothèses intrinsèques aux bio-indicateurs et (2) d'étudier les incertitudes de l'évaluation écologique associées à la variabilité temporelle des bio-indicateurs et à la prédiction des conditions de référence. (1) Ce travail met en évidence (i) le rôle prépondérant des facteurs environnementaux naturels dans la structuration des communautés aquatiques en comparaison des facteurs anthropiques (définis à l'échelle du bassin versant, du corridor riparien et du tronçon), (ii) les réponses contrastées des communautés aquatiques aux pressions humaines (dégradations hydro-morphologiques et de la qualité de l'eau) et (iii) plus généralement, les forts impacts des barrages et de l'altération de la qualité de l'eau sur les communautés aquatiques. (2) Une méthode Bayésienne a été développée pour estimer les incertitudes liées à la prédiction des conditions de référence d'un indice piscicole (IPR+). Les incertitudes prédictives de l'IPR+ dépendent du site considéré mais aucune tendance claire n'a été observée. Par comparaison, la variabilité temporelle de l'IPR+ est plus faible et semble augmenter avec l'intensité des perturbations anthropiques. Les résultats de ce travail confirment l'avantage d'indices multi-métriques basés sur des traits fonctionnels par rapport à ceux relatifs à la composition taxonomique. Les sensibilités différentes des macrophytes, poissons, diatomées et macro-invertébrés aux pressions humaines soulignent leur complémentarité pour l'évaluation des écosystèmes fluviaux. Néanmoins, de futures recherches sont nécessaires à une meilleure compréhension des effets d'interactions entre types de pressions et entre pressions humaines et environnement
Sensitive biological measures of ecosystem quality are needed to assess, maintain or restore the ecological conditions of rivers. Since our understanding of these complex systems is imperfect, river management requires recognizing variability and uncertainty of bio-assessment for decision-making. Based on the analysis of national data sets (~ 1654 sites), the main goals of this work were (1) to test some of the assumptions that shape bio-indicators and (2) address the temporal variability and the uncertainty associated to prediction of reference conditions.(1) This thesis highlights (i) the predominant role of physiographic factors in shaping biological communities in comparison to human pressures (defined at catchment, riparian corridor and reach scales), (ii) the differences in the responses of biological indicators to the different types of human pressures (water quality, hydrological, morphological degradations) and (iii) more generally, the greatest biological impacts of water quality alterations and impoundments. (2) A Bayesian method was developed to estimate the uncertainty associated with reference condition predictions of a fish-based bio-indicator (IPR+). IPR+ predictive uncertainty was site-dependent but showed no clear trend related to the environmental gradient. By comparison, IPR+ temporal variability was lower and sensitive to an increase of human pressure intensity. This work confirmed the advantages of multi-metric indexes based on functional metrics in comparison to compositional metrics. The different sensitivities of macrophytes, fish, diatoms and macroinvertebrates to human pressures emphasize their complementarity in assessing river ecosystems. Nevertheless, future research is needed to better understand the effects of interactions between pressures and between pressures and the environment
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Książki na temat "Bio-statistics"

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Ghaffari, Peyman. Bio-mathematics, Statistics, and Nano-Technologies. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992.

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Eason, G. Mathematics and statistics for the bio-sciences. New York: Ellis Horwood, 1986.

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1965-, Grant Gregory, red. Statistical methods in bioinformatics: An introduction. New York: Springer, 2001.

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Zuckerman, Daniel M. Statistical physics of biomolecules: An introduction. Boca Raton: CRC Press/Taylor & Francis, 2010.

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Thomas, Kurian George. Global data locator. Lanham, Md: Bernan Press, 1997.

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1946-, Crowley John, i Ankerst Donna Pauler, red. Handbook of statistics in clinical oncology. Wyd. 2. Boca Raton: Chapman & Hall/CRC, 2006.

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Ltd, Plunkett Research, red. Plunkett's biotech & genetics industry almanac 2012: The only comprehensive guide to biotechnology and genetics companies and trends. Houston, Tex. (P.O. Drawer 541737, Houston TX 77254-1737 USA): Plunkett Research, Ltd., 2011.

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Ltd, Plunkett Research, red. Plunkett's biotech & genetics industry almanac 2015: The only comprehensive guide to biotechnology and genetics companies and trends. Houston, Texas (P.O. Drawer 541737, Houston TX 77254-1737 USA): Plunkett Research, Ltd., 2014.

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Québec (Province). Ministère de l'agriculture, des pêcheries et de l'alimentation. Direction de l'économie., red. Profil sectoriel de l'industrie bio-alimentaire au Québec. [Québec]: Le Ministère, 1989.

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India, Anthropological Survey of, red. All India bio-anthropological survey: Preliminary tables. Calcutta: Anthropological Survey of India, Ministry of Human Resource Development, Govt. of India, 1988.

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Części książek na temat "Bio-statistics"

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Garhöfer, Gerhard, i Leopold Schmetterer. "Epidemiology and bio statistics". W Clinical Pharmacology: Current Topics and Case Studies, 167–80. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-7091-0144-5_12.

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Poline, Jean-Baptiste, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion i Vincent Frouin. "Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges". W Proceedings of COMPSTAT'2010, 101–10. Heidelberg: Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2604-3_9.

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Ghaffari, Peyman, Cristiana J. Silva i Delfim F. M. Torres. "Mathematical Models and Optimal Control in Mosquito Transmitted Diseases". W Bio-mathematics, Statistics, and Nano-Technologies, 143–56. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-7.

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Amadi, Miracle, Haario Heikki i Gerry Killeen. "Models of Acquired Immunity to Malaria: A Review". W Bio-mathematics, Statistics, and Nano-Technologies, 68–108. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-5.

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Gómez, Lara Ferrero, Derciliano Lopes da Cruz, Morgana do Nascimento Xavier, Deinilson Conselheiro Mendes, Rosângela Maria Rodrigues Barbosa, Constância Flávia Junqueira Ayres i Hélio Daniel Ribeiro Rocha. "Strengthening the Control of Mosquito Vectors in Cabo Verde: New Approaches to Improve Intervention Strategies". W Bio-mathematics, Statistics, and Nano-Technologies, 283–96. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-18.

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Kooi, Bob W., Peter Rashkov i Ezio Venturino. "Multi-Strain Host-Vector Dengue Modeling: Dynamics and Control". W Bio-mathematics, Statistics, and Nano-Technologies, 110–42. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-6.

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Atkovska, Katerina, Stefan Kuvendziev, Kiril Lisichkov, Mirko Marinkovski i Erhan Mustafa. "Plant Based Repellents - Green Mosquito Control". W Bio-mathematics, Statistics, and Nano-Technologies, 206–14. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-11.

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Botteri, Lea, Renata Antonaci Gama, Peyman Ghaffari, Ana Marija Grancaric, Freire Renato Cesar de Melo, José Heriberto Oliveira do Nascimento i Leon Rivaldo. "Mosquito Repellent against Anopheles Spp. and Aedes Aegypti on Cotton Fabric". W Bio-mathematics, Statistics, and Nano-Technologies, 226–36. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-13.

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Botteri, Lea, Christian B. Fischer, Melanie Fritz i Ana Marija Grancaric. "Cotton and Polyester Fabrics Plasma Coated with Hydrogenated Amorphous Carbon Films (A-C:H) as Platform for Further Refinement". W Bio-mathematics, Statistics, and Nano-Technologies, 245–52. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-15.

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Grancaric, Ana Marija, Veronica Migani, Maria Rosaria Plutino, Giuseppe Rosace i Valentina Trovato. "Recent Progress in Silica-Based Organic/Inorganic Hybrid Treatments as Anti-Mosquito Textile Finishing". W Bio-mathematics, Statistics, and Nano-Technologies, 237–44. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003035992-14.

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Streszczenia konferencji na temat "Bio-statistics"

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Zhang, Jiuyi, i Tianyu Zhang. "Comparison of bio-statistics software platform: SAS, SPSS, and R language". W International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), redaktorzy Ke Chen, Nan Lin, Romeo Meštrović, Teresa A. Oliveira, Fengjie Cen i Hong-Ming Yin. SPIE, 2022. http://dx.doi.org/10.1117/12.2628039.

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Plotnikov, Vladimir, Vladimir Plotnikov, Vyacheslav Dubina i Vyacheslav Dubina. "ECOLOGICAL SUBSTANTIATION OF BIOPRODUCTIVITY FORMATION IN PETER THE GREAT BAY (JAPAN/EAST SEA)". W Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b93870b4886.55014336.

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On the basis of the object habitat analysis, on the created data archives of the hydrometeorological and hydrochemical limiting external environment parameters, by means of the reliability theory methodology and the probabilistic analysis, as well as the multidimensional statistics, the algorithm of the ecological substantiation of bio-productivity formation is formulated. On the basis of the above the algorithm of the spatial areas of Gracilaria verrucosa possible cultivation in Peter the Great Bay is estimated.
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Plotnikov, Vladimir, Vladimir Plotnikov, Vyacheslav Dubina i Vyacheslav Dubina. "ECOLOGICAL SUBSTANTIATION OF BIOPRODUCTIVITY FORMATION IN PETER THE GREAT BAY (JAPAN/EAST SEA)". W Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4315968a12.

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On the basis of the object habitat analysis, on the created data archives of the hydrometeorological and hydrochemical limiting external environment parameters, by means of the reliability theory methodology and the probabilistic analysis, as well as the multidimensional statistics, the algorithm of the ecological substantiation of bio-productivity formation is formulated. On the basis of the above the algorithm of the spatial areas of Gracilaria verrucosa possible cultivation in Peter the Great Bay is estimated.
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Yemelyanov, K. M., S. S. Lin, E. N. Pugh i N. Engheta. "Bio-Inspired, Adaptive Algorithms for 2- and 3-Channel Polarization Sensing under Various Polarization Statistics with Non-Uniform Distributions". W Frontiers in Optics. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/fio.2004.ftug27.

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Исакова, Д. Н., И. М. Петров, И. А. Трошина i С. Н. Коломейчук. "МАРКЕРЫ ДИСФУНКЦИИ ЭНДОТЕЛИЯ У ПАЦИЕНТОВ С РАННИМИ НАРУШЕНИЯМИ УГЛЕВОДНОГО ОБМЕНА". W Сборник тезисов III Конференции по лечению и диагностике сахарного диабета «Фундаментальная и клиническая диабетология в 21 веке: от теории к практике». ФГБУ «НМИЦ эндокринологии» Минздрава России, 2023. http://dx.doi.org/10.14341/diaconfiii25-26.05.23-40.

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ЦЕЛЬ: изучить частоту полиморфных аллелей и генотипов гена TCF7L2-1IVS3 (rs7903146) и его в влияние на показатели углеводного и липидного обмена у больных с ранними нарушениями углеводного обмена (РНУО). МАТЕРИАЛЫ И МЕТОДЫ: объектом исследования явились 60 пациентов (32% мужчин, 68% женщин), с ранними нарушениями углеводного обмена (нарушенной гликемией натощак (НГН) и нарушенной толе- рантностью к углеводам (НТГ), критерии ВОЗ, 2009). Средний возраст в группе 44,3±7,8 лет. Среднее зна- чение гликемии натощак при верификации диагноза - 5,7±0,42 ммоль/л, средний уровень гликированного гемоглобина — 5,96±0,36%. Среднее значение ИМТ составило 31,6±5,4кг/м2. Группу контроля составили 30 практически здоровых человек, сопоставимых с группой исследуемых по возрасту и по полу. Всем участниками проведено исследование базального уровня глюкозы, инсулина, С-пептида в крови, а также в ходе орального глюкозотолерантного теста - повторное определение данных показателей через 2 часа после нагрузки 75 г. глюкозы по стандартной методике. Рассчитаны индексы: HOMA-IR, QUICKI, HOMA1-β. Исследованы показатели крови (липидный спектр, показатели углеводного обмена), базальный уровень гормонов регуляторов углеводного обмена (лептин, грелин). Количественное определение C-пептида, инсулина, грелина, лептина в плазме оценивали методом проточной флюориметрии на двухлучевом лазерном автоматизированном анализаторе (Bio-Plex Protein Assay System, Bio-Rad, США) с использованием тест-системы Bio-PlexProHuman Diabetes 10-Plex, Bio-Rad, США). Генотипирование по полиморфным маркерам гена TCF7L2-1IVS3 (rs7903146) и гена PPARG (rs 1801282) выполняли с помощью ПЦР с аллель-специфическими праймерами компании «Синтол». Для проведения амплификации использовали программируемый термоциклер Q5 (Bio-Rad). Статистическую обработку данных проводили с использованием ПО SPSS Statistics 26.0. Для сравнения частот аллелей и генотипов по качественному бинарному признаку применяли критерий χ². Сравнение групп осуществляли с применением U-критерия Манна-Уитни. Для оценки ассоциаций полиморфных вариантов генов с различными фенотипами рассчитывали показатели отношения шансов (OR) с расчетом 95% доверительного интервала. Статистически значимые различия считали при р<0,05. РЕЗУЛЬТАТЫ: при анализе распределения частот аллелей и генотипов полиморфного маркера гена TCF7L2-1IVS3 (rs7903146) статистической значимости выявлено не было в группе пациентов с РНУО и группе контроля. Сравнительный анализ продемонстрировал, что гомозиготы по аллелю С значимо отличались от носителей минорного аллеля T более высоким уровнем ИМТ (р<0,001), гликированного гемоглобина (р<0,001), гликемии через 2 часа после нагрузки глюкозой (р<0,05), индексу HOMA-IR (р<0,05) , HOMA1-β (р<0,01) и уровню грелина (р<0,05). А также носители гомозиготы по мажорному аллелю C были ассоции- рованы с уровнем HbA1C≥5,7% (р<0,001) и окружностью талии выше целевого уровня (р<0,001). ВЫВОДЫ: анализ полиморфного маркера гена TCF7L2-1IVS3 (rs7903146) продемонстрировал связь мажорного аллеля с более высокими показателями углеводного обмена и инсулинорезистентности, что позволяет использовать данный показатель в качестве предиктора развития углеводных нарушений.
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Caravaca-Aguirre, Antonio M., Sakshi Singh i Rafael Piestun. "Speckle Statistics for Single Fiber Endoscopy". W Bio-Optics: Design and Application. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/boda.2017.botu3a.3.

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Mercader-Trejo, Flora. "Project-based learning as a strategy for teaching metrology". W NCSL International Workshop & Symposium. NCSL International, 2014. http://dx.doi.org/10.51843/wsproceedings.2014.34.

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Project-based learning (PBL) is a well-known didactic strategy to improve students' understanding of science, as well as their problem-solving and collaboration skills, to a greater extent than traditional methods. Students who learn science or technology through project-based learning also report that they find it more engaging than traditional instructional techniques. PBL strategy was applied to students of engineering degree in industrial metrology taught at the Universidad Politécnica de Santa Rosa Jáuregui located in the state of Querétaro, Mexico. This paper describes the experience through which students planned, implemented, and evaluated a project with real-world application beyond the classroom, which leads to a drive for research and production of knowledge. Professors of different subjects worked together to think about the project. In this case the selected integrating project was the design and performance evaluation of a bio filter for the treatment of gray water in rural households. This project includes concepts related to the subjects taught in the period of study. The subjects considered were: Analytical chemistry, industrial processes, statistics, mathematics, engineering drawing, interpersonal development and English. The use of this strategy helped to promote student participation in the learning process. Results were very satisfactory because of the knowledge and skills acquired by students. This allowed the development of new capabilities that complement their education and prepare them for the workplace. Among the skills and capabilities developed are: interaction in teamwork, independent learning, responsibility and time management, among others.
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Segura, Luis Javier, Christian Narváez Muñoz, Chi Zhou i Hongyue Sun. "Sketch-Based Tensor Decomposition for Non-Parametric Monitoring of Electrospinning Processes". W ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8367.

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Abstract Electrospinning is a promising process to fabricate functional parts from macrofibers and nanofibers of bio-compatible materials including collagen, polylactide (PLA), and polyacrylonitrile (PAN). However, the functionality of the produced parts highly rely on quality, repeatability, and uniformity of the electrospun fibers. Due to the variations in material composition, process settings, and ambient conditions, the process suffers from large variations. In particular, the fiber formation in the stable regime (i.e., Taylor cone and jet) and its propagation to the substrate plays the most significant role in the process stability. This work aims to designing a fast process monitoring tool from scratch for monitoring the dynamic electrospinning process based on the Taylor cone and jet videos. Nevertheless, this is challenging since the videos are of high frequency and high dimension, and the monitoring statistics may not have a parametric distribution. To achieve this goal, a framework integrating image analysis, sketch-based tensor decomposition, and non-parametric monitoring, is proposed. In particular, we use Tucker tensor-sketch (Tucker-TS) based tensor decomposition to extract the sparse structure representations of the videos. Additionally, the extracted monitoring variables are non-normally distributed, hence non-parametric bootstrap Hotelling T2 control chart is deployed to handle this issue during the monitoring. The framework is demonstrated by electrospinning a PAN-based polymeric solution. Finally, it is demonstrated that the proposed framework, which uses Tucker-TS, largely outperformed the computational speed of the alternating least squares (ALS) approach for the Tucker tensor decomposition, i.e., Tucker-ALS, in various anomaly detection tasks while keeping the comparable anomaly detection accuracy.
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Hussein, Sarah, Omar Falou, Remie Nasr, Eno Hysi, Lauren A. Wirtzfeld, Jonathan P. May, Elijus Undzys, Shyh-Dar Li i Michael C. Kolios. "Cancer treatment response evaluation using photoacoustic signal envelop statistics: A preliminary study". W 2016 International Conference on Bio-engineering for Smart Technologies (BioSMART). IEEE, 2016. http://dx.doi.org/10.1109/biosmart.2016.7835602.

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Sherov, Anvar. "Effectiveness of application of bio-water-furrow systems in improving the meliorative condition of irrigated land". W 2021 ASIA-PACIFIC CONFERENCE ON APPLIED MATHEMATICS AND STATISTICS. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0091271.

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Raporty organizacyjne na temat "Bio-statistics"

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Ndoye, Aïssatou, Khadim Dia i Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.03. AKADEMIYA2063, luty 2023. http://dx.doi.org/10.54067/acpf.03.

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Brief 3 presents forecasts on millet production levels in Côte d’Ivoire based on AKADEMIYA2063’s Africa Crop Production (AfCP) model. The AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed bio-geophysical data to produce estimates of crop production for nine crops in 47 African countries before the harvesting period. Thus, millet production statistics in Côte d’Ivoire are presented in this brief.
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Ndoye, Aïssatou, Khadim Dia i Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.06. AKADEMIYA2063, luty 2023. http://dx.doi.org/10.54067/acpf.06.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecasts by AKADEMIYA2063 aim to provide more accurate and timely statistics about harvest and yield levels for nine crops across 47 African countries. Developed at AKADEMIYA2063, the Africa Crop Production (AfCP) model is an artificial intelligence (AI) based forecasting model applied to remotely sensed bio-geophysical data to produce estimates of expected crop yields and harvests at the beginning of every growing season.
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Ndoye, Aïssatou, Khadim Dia i Racline Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.05. AKADEMIYA2063, luty 2023. http://dx.doi.org/10.54067/acpf.05.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 5 by AKADEMIYA2063 provides timely and accurate statistics on millet production in Sierra Leone using the Africa Crop Production (AfCP) model. Developed at AKADEMIYA2063, the AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed bio-geophysical data to produce estimates of expected crop yields and harvests at the beginning of every growing season for nine crops across 47 African countries.
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Ndoye, Aïssatou, Khadim Dia i Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.07. AKADEMIYA2063, luty 2023. http://dx.doi.org/10.54067/acpf.07.

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The Africa Agriculture Watch (AAgWa) Crop Production Forecast Brief 7 by AKADEMIYA2063 provides accurate and timely statistics about millet production in Mali. The Africa Crop Production (AfCP) model developed at AKADEMIYA2063 is used to forecast millet production. The AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed bio-geophysical data to estimate expected crop yields and harvests at the beginning of every growing season for nine crops across nearly 47 African countries.
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