ESTRUTURA ESPACIAL DE TRÊS ESPÉCIES ARBÓREAS RELACIONADAS AO SETOR ALIMENTÍCIO

Este trabalho trata da estrutura espacial e da modelagem da distribuição diamétrica de três espécies com potencial comercial para produtos não madeireiros. Os dados foram coletados em um fragmento de Floresta Ombrófila Mista, localizado no segundo planalto paranaense, entre os municípios de Fernandes Pinheiro e Teixeira Soares, a 5 km de Irati, PR. A pesquisa apresenta o padrão de dispersão espacial das espécies e o ajuste das distribuições de diâmetro, utilizando as funções densidade de probabilidade Beta, Gama e Weibull-3P. As discussões mostraram que as espécies têm a mesma classificação de dispersão agregada, mas com grande diferença na amplitude dos resultados, motivo pelo qual foi necessário elaborar um layout das espécies, para que elas pudessem ser mais bem compreendidas em seus arranjos espaciais, o que permite visualizar a forma mais apropriada de acesso a esses indivíduos. A FDP Weibull-3P foi a que melhor se ajustou aos dados das distribuições diamétricas. A relação entre a disposição espacial dos indivíduos e as curvas estimadas pelas distribuições diamétricas permitem substanciar melhor a elaboração do planejamento estratégico para o manejo florestal da área, em que espécies fornecedoras de produtos não madeireiros se destacam como opção complementar à utilização de madeira para fins comerciais.Palavras-chave: Índice de Morisita; produtos não madeiráveis; distribuição diamétrica. AbstractSpatial structure and modeling diametric distributions of three tree species related to food sector. This paper deals with the spatial structure and modeling the diameter distribution of three species with potential inclusion of commercial non-timber products. Data from Araucaria Forest were collected in a fragment located on the second plateau of Parana between the municipalities of Fernandes Pinheiro and Teixeira Soares, 5 km from Irati, PR. The research presents the dispersion pattern of the species and adjustment of diameter distributions Beta, Gama and Weibull-3P. The discussions revealed that the species have the same classification of aggregate dispersion, but great difference in the amplitude of results, so it was necessary drawing a layout of the species, in order to better comprehension of their spatial arrangements, it allows us to visualize the better way of access to these individuals. The fdp Weibull-3P is the distribution that fits better to the data of diameter distributions. The relationship between the spatial distribution of individuals and the curves estimated by the diameter distributions allow substantiating the strategic planning for the forest management area, where suppliers of non-timber products stand out as complementary option to the use of timber for commercial purposes.Keywords: Morisita index; non-timber products; diameter distributions.

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K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

FUDMA Journal of Sciences ◽

10.33003/fjs-2020-0402-363 ◽

2020 ◽

Vol 4 (2) ◽

pp. 780-787

Author(s):

Ibrahim Hassan Hayatu ◽

Abdullahi Mohammed ◽

Barroon Ahmad Isma’eel ◽

Sahabi Yusuf Ali

Keyword(s):

Soil Fertility ◽

Crop Yield ◽

Clustering Algorithm ◽

Soil Samples ◽

North West ◽

R Programming ◽

Available Information ◽

Northwest Region ◽

The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production. Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

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DONG SON BRONZE DRUM - THE WORK OF THE LAC VIET PEOPLE

Tạp chí Nghiên cứu dân tộc ◽

10.25073/0866-773x/76 ◽

2018 ◽

Author(s):

Nguyen Van Hao

Keyword(s):

Classification Criteria ◽

Way Of Life ◽

Tribal Identity ◽

The Relationship

Bronze drums are widely distributed, broader than the range of a nation. Therefore, the identification of each kind of drum is a basic subject, should be concerned. In determining the tribal identity of the drum, the classification of drum is the key stage, the relationship between the objective of the classification and classification criteria is the relation as shape and shadow, if there is no right criteria then the result of division will be difficult to reach the desired goal. Likewise, the criterion of the pattern on the bronze drum brought to the affirmation is the Dong Son bronze drum of the Lac Viet people. And the parallel is the affirmation of the culture, way of life, residence of the nation created the drum.

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Pituitary MRI characteristics in 297 acromegaly patients based on T2-weighted sequences

Endocrine Related Cancer ◽

10.1530/erc-14-0305 ◽

2015 ◽

Vol 22 (2) ◽

pp. 169-177 ◽

Cited By ~ 46

Author(s):

Iulia Potorac ◽

Patrick Petrossians ◽

Adrian F Daly ◽

Franck Schillo ◽

Claude Ben Slama ◽

...

Keyword(s):

Large Population ◽

Optic Chiasm ◽

Research Priority ◽

Maximal Diameter ◽

Magnetic Resonance Imaging Mri ◽

Multimodal Management ◽

Mri Characteristics ◽

Weighted Sequences ◽

The Relationship

Responses of GH-secreting adenomas to multimodal management of acromegaly vary widely between patients. Understanding the behavioral patterns of GH-secreting adenomas by identifying factors predictive of their evolution is a research priority. The aim of this study was to clarify the relationship between the T2-weighted adenoma signal on diagnostic magnetic resonance imaging (MRI) in acromegaly and clinical and biological features at diagnosis. An international, multicenter, retrospective analysis was performed using a large population of 297 acromegalic patients recently diagnosed with available diagnostic MRI evaluations. The study was conducted at ten endocrine tertiary referral centers. Clinical and biochemical characteristics, and MRI signal findings were evaluated. T2-hypointense adenomas represented 52.9% of the series, were smaller than their T2-hyperintense and isointense counterparts (P<0.0001), were associated with higher IGF1 levels (P=0.0001), invaded the cavernous sinus less frequently (P=0.0002), and rarely caused optic chiasm compression (P<0.0001). Acromegalic men tended to be younger at diagnosis than women (P=0.067) and presented higher IGF1 values (P=0.01). Although in total, adenomas had a predominantly inferior extension in 45.8% of cases, in men this was more frequent (P<0.0001), whereas in women optic chiasm compression of macroadenomas occurred more often (P=0.0067). Most adenomas (45.1%) measured between 11 and 20 mm in maximal diameter and bigger adenomas were diagnosed at younger ages (P=0.0001). The T2-weighted signal differentiates GH-secreting adenomas into subgroups with particular behaviors. This raises the question of whether the T2-weighted signal could represent a factor in the classification of acromegalic patients in future studies.

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POS1456-HPR THE SERUM IRON LEVEL MIGHT BE USEFUL IN DETERMINING THE SEVERITY OF MALNUTRITION IN PATIENTS WITH RHEUMATOID ARTHRITIS

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.947 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 1012.2-1012

Author(s):

Y. Matsumoto ◽

Y. Sugioka ◽

M. Tada ◽

T. Okano ◽

K. Mamoto ◽

...

Keyword(s):

Grip Strength ◽

Serum Iron ◽

Roc Analysis ◽

Severe Malnutrition ◽

Inflammatory Condition ◽

Research Support ◽

Chugai Pharmaceutical ◽

The Relationship ◽

Nutritional Indicator

Background:The Global Leadership Initiative on Malnutrition (GLIM) criteria, the first international criteria for diagnosis of malnutrition, was released in 2018 [1]. Patients with rheumatoid arthritis (RA) are thought to be prone to malnutrition due to decreased food intake and increased muscle catabolism caused by chronic inflammation or pain. However, there has been no report to assess the nutritional status of RA patients in accordance with the GLIM criteria. In addition, commonly used blood nutrient indicators such as albumin might not be appropriate as nutritional indicators for RA because these values are affected by inflammation.Objectives:This study aims to examine the rates of malnutrition in RA patients according to GLIM criteria, and the relationship between blood nutrient indicators and the severity of malnutrition.Methods:In this study, we conducted a cross-sectional survey of 135 female RA patients in 2020. According to the GLIM criteria, patients were considered to be malnourished if patients had one of the following phenotypic: (1) low body mass index, (2) non-volitional weight loss, (3) reduced muscle mass, and one of the following etiologic: (1) reduced food intake or assimilation, (2) disease burden/inflammatory condition. Reduced muscle mass was evaluated by measuring calf circumference, and inflammatory condition was evaluated by Disease Activity Score (DAS) 28. In accordance with the GLIM criteria, the severity of malnutrition was judged as three levels: no problem, moderate, and severe malnutrition. Albumin, transthyretin, transferrin, retinol binding protein, zinc, iron, ceruloplasmin, and total cholesterol were assessed as blood nutrition indicators. Also grip strength was assessed. We compared each nutritional indicator among the three groups according to the severity of malnutrition using age-adjusted analysis of covariance, and examined the relationship between each nutritional indicator and the severity of malnutrition using receiver operating characteristic (ROC) analysis.Results:In RA patients, 20% were classified as severe malnutrition, and 40% were moderate or more. Serum iron levels were significantly lower in the severe malnutrition group compared to the no problem group (p = 0.001). In ROC analysis, serum iron, zinc, albumin, and grip strength (area under curve; AUC; 0.680, 0.696, 0.636, 0.790, respectively) were significant parameters for classification of moderate and severe malnutrition. Serum iron and grip strength (AUC for respective parameters were 0.741, 0.747) were significant parameters for classification of severe malnutrition.Conclusion:Evaluation based on the GLIM criteria showed that about 40% of RA patients were under moderate or severe malnutrition. It was suggested that serum iron and grip strength might be useful to predict the severity of malnutrition.References:[1]Cederholm T, Jensen GL, Correia MITD, Gonzalez MC, Fukushima R, Higashiguchi T, et al. GLIM criteria for the diagnosis of malnutrition – A consensus report from the global clinical nutrition community. Clinical Nutrition 2019; 38: 1-9.Acknowledgements:We thank to Tomoko Nakatsuka, and the Center for Drug & Food Clinical Evaluation, Osaka City University Hospital, for management and collection of the study data. We also thank to study participants.Disclosure of Interests:Yoshinari Matsumoto Grant/research support from: Yamada Research Grant, Yuko Sugioka: None declared, Masahiro Tada: None declared, Tadasi Okano Speakers bureau: AbbVie, Asahikasei, Astellas Pharma Inc, Ayumi Pharmaceutical, Bristol-Myers Squibb, Chugai Pharmaceutical, Daiich Sankyo, Eisai, Janssen, Lilly, Mitsubishi Tanabe Pharma Corporation, Novartis Pharma, Ono Pharmaceutical, Pfizer, Sanofi, Takeda Pharmaceutical, Teijin Pharma and UCB, Grant/research support from: AbbVie, Eisai, Mitsubishi Tanabe Pharma Corporation and Nipponkayaku, Kenji Mamoto: None declared, Kentaro Inui Speakers bureau: Daiichi Sankyo Co. Ltd., Mitsubishi Tanabe Pharma, Janssen Pharmaceutical K.K., Astellas Pharma Inc., Takeda Pharmaceutical Co. Ltd., Ono Pharmaceutical Co. Ltd., Abbvie GK, Pfizer Inc., Eisai Co., Ltd., Chugai Pharmaceutical Co., Ltd, Grant/research support from: anssen Pharmaceutical K.K., Astellas Pharma Inc., Sanofi K.K., Abbvie GK, Takeda Pharmaceutical Co. Ltd., QOL RD Co. Ltd., Mitsubishi Tanabe Pharma, Ono Pharmaceutical Co. Ltd., Eisai Co., Ltd., Daiki Habu: None declared, Tatsuya Koike Speakers bureau: AbbVie, Astellas Pharma Inc, Bristol-Myers Squibb, Chugai Pharmaceutical, Eisai, Janssen, Lilly, Mitsubishi Tanabe Pharma Corporation, MSD, Ono Pharmaceutical, Pfizer, Roche, Takeda Pharmaceutical, Teijin Pharma, and UCB, Grant/research support from: AbbVie, Astellas Pharma Inc, Bristol-Myers Squibb, Chugai Pharmaceutical, Eisai, Janssen, Lilly, Mitsubishi Tanabe Pharma Corporation, MSD, Ono Pharmaceutical, Pfizer, Roche, Takeda Pharmaceutical, Teijin Pharma, and UCB

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Formation of an Export-Oriented Agricultural Economy and Regional Open Innovations

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc7010032 ◽

2021 ◽

Vol 7 (1) ◽

pp. 32

Author(s):

Victor L. Shabanov ◽

Marianna Ya Vasilchenko ◽

Elena A. Derunova ◽

Andrey P. Potapov

Keyword(s):

Agricultural Economy ◽

Institutional Management ◽

Agricultural Exports ◽

Modeling Methodology ◽

Fixed Assets ◽

Analysis Application ◽

The Impact ◽

The Relationship

The aim of the work is to find relevant indicators for assessing the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports using tools for modeling the impact of innovation and investment development on increasing production and export potential in the context of the formation of an export-oriented agricultural economy. The modeling methodology and the proposed estimating and forecasting tools for diagnosing and monitoring the state of sectoral and regional innovative agricultural systems are used to analyze the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports based on the construction of the classification of Russian regions by factors that aggregate these features to diagnose incongruence problems and to improve institutional management in regional innovative export-oriented agrosystems. Based on the results of the factor analysis application, an underestimated role of indicators of investment in agriculture, the intensity and efficiency of agricultural production, were established. Based on the results of the cluster analysis, the established five groups of regions were identified, with significant differences in the level of investment in agriculture, the volume of production of the main types of agricultural products, and the export and exported food. The research results are of practical value for use in improving institutional management when planning reforms and transformations of regional innovative agrosystems.

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A Blind Spot in the Use of the Weibull Function for Modeling Diameter Distributions

Forest Science ◽

10.1093/forsci/fxaa042 ◽

2020 ◽

Author(s):

Adrian Norman Goodwin

Keyword(s):

Lower Bound ◽

Blind Spot ◽

Forest Growth ◽

Growth And Yield ◽

Diameter Distribution ◽

Absolute Difference ◽

Weibull Function ◽

Distribution Models ◽

Difference Statistic ◽

Diameter Distributions

Abstract Diameter distribution models based on probability density functions are integral to many forest growth and yield systems, where they are used to estimate product volumes within diameter classes. The three-parameter Weibull function with a constrained nonnegative lower bound is commonly used because of its flexibility and ease of fitting. This study compared Weibull and reverse Weibull functions with and without a lower bound constraint and left-hand truncation, across three large unthinned plantation cohorts in which 81% of plots had negatively skewed diameter distributions. Near-optimal lower bounds for the unconstrained Weibull function were negative for negatively skewed data, and the left-truncated Weibull using these bounds was 14.2% more accurate than the constrained Weibull, based on the Kolmogorov-Smirnov statistic. The truncated reverse Weibull fit dominant tree distributions 23.7% more accurately than the constrained Weibull, based on a mean absolute difference statistic. This work indicates that a blind spot may have developed in plantation growth modeling systems deploying constrained Weibull functions, and that left-truncation of unconstrained functions could substantially improve model accuracy for negatively skewed distributions.

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Deriving Tree Diameter Growth and Probability of Survival Equations from Successive Diameter Distributions

Forest Science ◽

10.1093/forestscience/54.1.31 ◽

2008 ◽

Vol 54 (1) ◽

pp. 31-35

Author(s):

Thomas G. Matney ◽

Emily B. Schultz

Keyword(s):

General Procedure ◽

Growth And Yield ◽

Diameter Distribution ◽

Diameter Growth ◽

Individual Tree ◽

Statistical Probability ◽

Growth And Survival ◽

Tree Diameter ◽

Growth And Yield Models ◽

Diameter Distributions

Abstract Many growth and yield models have used statistical probability distributions to estimate the diameter distribution of a stand at any age. Equations for approximating individual tree diameter growth and survival probabilities from dbh can be derived from these models. A general procedure for determining the functions is discussed and illustrated using a loblolly pine spacing study. The results from the spacing study show that it is possible to define tree diameter growth and survival probability functions from diameter distributions with an accuracy sufficient to obtain a link between the individual tree and diameter growth and yield models.

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A Functional Reading of the Epicurean Classification of Desires

Apeiron ◽

10.1515/apeiron-2020-0048 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Jan Maximilian Robitzsch

Keyword(s):

Human Nature ◽

Practical Significance ◽

Textual Evidence ◽

The Relationship

Abstract This paper examines the classification of desires that the Epicureans offer in their writings. It surveys the extant textual evidence for the classification and discusses the relationship between natural and necessary, natural and unnecessary, and unnatural and unnecessary desires. It argues that while the practical significance of the Epicurean classification is clear, which desires fall into which class is not. The paper suggests the reason for this may be that the Epicureans acknowledge some variability in their concept of human nature, arguing for a functional reading of the Epicurean classification of desires.

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The International Classification of Functioning, Disability, and Health (ICF) as a community participation model for people with multiple sclerosis: A hierarchical regression analysis

Australian Journal of Rehabilitation Counselling ◽

10.1017/jrc.2020.15 ◽

2020 ◽

Vol 26 (2) ◽

pp. 55-72

Author(s):

Joseph Pfaller ◽

Fong Chan ◽

Kanako Iwanaga ◽

Jia-Rung Wu ◽

Stuart Rumrill ◽

...

Keyword(s):

Multiple Sclerosis ◽

Regression Analysis ◽

Community Participation ◽

International Classification Of Functioning ◽

Self Management ◽

Hierarchical Regression ◽

Personal Factors ◽

Disability And Health ◽

The Relationship

AbstractMultiple sclerosis (MS) is a central nervous system disorder that impacts more than 400,000 people in the U.S. The disease results in multiple functional impairments that are diverse and varied across individuals. Additonally, MS has a profound impact on community participation which, like other rehabilitation outcomes, cannot be explained on the basis of functional limitations alone. The purpose of this study was to develop and evaluate a model of community participation for people living with MS using the World Health Organization (WHO) International Classification of Functioning, Disability, and Health (ICF) framework. The model focused on the roles that personal factors have as predictors of community participation, while also serving as mediators and moderators for the relationship between activity limitation and participation. Results from the hierarchical regression analysis indicated that demographic characteristics (i.e. MS type), personal factors (i.e. core self-evaluations (CSE), MS self-management, resilience, and social skills), and activity limitations accounted for 64% of the variance in participation. Further, mediation analysis indicated that CSE mediated the relationship between activity limitation and community participation. Finally, moderation analysis indicated an interaction effect between educational attainment and MS self-management. Implications for future research in rehabilitation and clinical application are discussed.

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Exercise Addiction and Perfectionism: A Systematic Review of the Literature

Current Addiction Reports ◽

10.1007/s40429-021-00358-8 ◽

2021 ◽

Vol 8 (1) ◽

pp. 144-155 ◽

Cited By ~ 1

Author(s):

Gizem Çakın ◽

Ignatius Darma Juwono ◽

Marc N. Potenza ◽

Attila Szabo

Keyword(s):

International Classification Of Diseases ◽

Situational Factors ◽

Future Research ◽

Statistical Manual ◽

Exercise Addiction ◽

Diagnostic And Statistical Manual ◽

Classification Of Diseases ◽

The Common ◽

The Relationship

Abstract Background and aims Exercise addiction may be conceptualized as a behavioral addiction in which a person develops an unhealthy obsession with exercise and physical activity. While exercise addiction is not a formally recognized disorder in the Diagnostic and Statistical Manual or the International Classification of Diseases, it has been studied and connected to both personal and situational factors. Perfectionism is a feature that has been strongly linked to exercise addiction. The objective of this systematic literature review, performed by following the PRISMA protocol, was to examine relationships between exercise addiction and perfectionism while also considering the subdimensions of perfectionism in different groups. Methods Three databases (PsycINFO, PubMed/Medline, and SPORTDiscus) were examined. Sixty relevant articles were identified, of which 22 met inclusion criteria. Results The findings substantiate that perfectionism and its dimensions are weakly or moderately related to exercise addiction. This relationship has been observed in adults, adolescents, athletes, and patients with eating disorders. Of the 22 studies examined, only one did not identify an association between perfectionism or its subdomain(s) and exercise addiction. However, in most studies, the common variance between perfectionism and exercise addiction is relatively small, raising questions regarding the clinical relevance of the relationship. Conclusion Perfectionism is related to exercise addiction, but the strength of the relationship varies in different circumstances, which should be examined in future research.

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