bluuebunny/crossref_metadata_2025_split huggingface dataset:
Capacity Building Digitalisasi Sistem Pertanian Menggunakan Farming Management System
Authors: Hidayat Rahmat , Amnur Hidra , Alanda Alde , Yuhefizar  , Satria Deni 
Published: March 2024

Pertanian salah satu bidang terpenting dalam aktivitas manusia di seluruh dunia. Seiring bertambahnya jumlah penduduk, maka diperlukan peningkatan produksi pertanian. Di era teknologi informasi, informasi memainkan peran kunci dalam kehidupan masyarakat. Pertanian dengan cepat menjadi industri yang sangat intensif perkembangannya dimana petani perlu mengumpulkan dan mengevaluasi sejumlah besar informasi dalam proses bisnisnya agar menjadi lebih efisien dalam produksi dan mengkomunikasikan informasi yang sesuai. Modernisasi pertanian memerlukan pengetahuan teknologi untuk penggunaan input pertanian yang efisien. Upaya ini berkaitan dengan sejumlah faktor seperti jejak ekologis, keamanan produk, kesejahteraan tenaga kerja, tanggung jawab nutrisi, kesehatan dan kesejahteraan tanaman/hewan, tanggung jawab ekonomi dan keberadaan pasar lokal. Upaya tersebut mencakup hampir semua tahapan dalam rantai produksi yang menyangkut tugas pertanian sehari-hari, kegiatan transaksional untuk semua pemangku kepentingan yang terlibat, dan dukungan transparansi informasi dalam rantai pangan. Penggunaan teknologi informasi dan infrastruktur jaringan saat ini memungkinkan penerapan teknologi dalam proses bisnis dibidang pertanian, namun belum ada solusi standar untuk memungkinkan interoperabilitas dan integrasi di antara layanan dan pemangku kepentingan. Farming Management System (FMS) diharapkan dapat menjadi solusi dan standar dalam penggunaan teknologi pada bidang pertanian. FMS adalah sebuah sistem manajemen yang dirancang khusus untuk membantu petani atau pengelola pertanian dalam mengelola operasi pertanian mereka secara lebih efisien dan efektif. Sistem ini biasanya terdiri dari perangkat lunak dan perangkat keras yang terintegrasi untuk memantau dan mengumpulkan data dari berbagai aspek pertanian, seperti pengairan, pemupukan, penyemprotan pestisida, dan lain sebagainya.
Upaya Membangkitkan Semangat Nasionalisme Anak Melalui Lomba Cerdas Cermat Dalam Rangka Memperingati Hut Ri Ke-78 Di Desa Jineng Kecamatan Wanasaba Kabupaten Lombok Barat
Authors: Hani Hani Ardiyantini , Hamzanwadi  , Abdul Hanan  , Humairo  , Firman Ali Rahman  
Published: March 2024

The character and spirit of nationalism are instinctive and confident embraced by most of the people with whom they build a nation for themselves. As for the alternative to promoting such nationalistic fervor, a clever technique of learning is a technique of learning through a race that can enhance the potential, talent, thinking ability of public knowledge and train of sharp thinking and skillful in answering questions quickly and correctly. This activity is 10 TPQ as participants in the careful intelligent race of two representative groups and each group has three children. The result of this study is the increased nationalism of children reflected in enthusiasm and activity and with a prompt response to questions at the game, the I champion is expected to be by the 800 point TPQ nurul huda at the end of the game, the second most high of the cost of TPQ darul falah by 600, with the third in the third place
Biomineralisation of corals inhabiting extreme and marginal environments
Authors: Chadda-Harmer Dayana , Byrne Maria , Foo Shawna A. 
Published: March 2024

ABSTRACT
Climate change is the primary threat to coral reefs, causing catastrophic coral mortality on a global scale. Stressors such as ocean acidification limit calcium carbonate availability needed to build skeletons. A wealth of research has shown that climate stressors impair the ability of coral to produce and maintain their skeletons, thereby disrupting functions critical to maintaining coral health as well as threatening the ecologically significant framework for reef building. There are natural marginal and extreme environments however, where coral reefs thrive despite unfavourable conditions. These habitats provide a natural long-term setting to examine the impact of multiple interacting climate change factors on corals and understand the adaptations required by corals to inhabit these conditions. We review studies of coral skeletogenesis in extreme and marginal environments, with a particular focus on mangrove habitats due to their natural fluctuations in temperature, pH and oxygen, analogous to those projected under climate change models. The changes in coral skeletal morphology under stress are described as are the techniques used to visualise these changes. In marginal and extreme environments, corals experience lower calcification rates and produce more porous, less robust skeletons whilst maintaining normal rates of linear extension, suggesting the integrity of coral skeletons are likely to be threatened under future ocean conditions. The biomineralisation processes of corals inhabiting extreme and marginal environments remains an underexplored area of research and has the potential to yield valuable insights into how corals might adapt to climate change and the mechanisms that underlie their resilience to global environmental change.
Effect of Organic and Inorganic Mulch on Growth, Yield and Quality of Strawberry CV. Winter Dawn
Authors: Sharma Sourabh , Pant Pooja , Sangwan Madhu , Sahrawat Rahul 
Published: March 2024

The present investigation is to find out the effect of organic and inorganic mulch on growth, yield and quality of strawberry cv. winter dawn was carried out at Horticulture Demonstration Farm, Department of Horticulture, SGT University, Gurugram (Haryana), India during the year 2022-23. The experiment was laid out in Randomized Block Design (RBD) with seven treatments replicated thrice. Treatment T6 i.e. mulching with dry banana leaf was found to be best in terms of plant height (20.46 cm), number of leaves (22.66), number of crown (5.02), number of runners (16.30), length of runners (17.90 cm), number of flowers (49.40), yield/plant (170.30 g), yield per hectare (45.68 ton), plant fresh weight (135.67 g), plant dry weight (49.56 g), berry size (44.58 mm), berry volume (36.95 cc) and berry weight (23.15 g), TSS (11.67 0Brix) and Titrable acidity (0.24%), Leaf nutrient status N (22.86%), P (3.10%) and K (85.00%).
Assessment of Genetic Variability, Heritability, Genetic Advance, and Diversity Analysis for Morpho Physiological Traits in Finger Millet [Eleusine coracana (l.) Gaertn.]
Authors: Anand Ketan , Bhuyan J. , Zaman S. , Choudhary H. , Sonowal Santosh , Rajkumar Arnab , Kro Atur 
Published: March 2024

The study, conducted during the Kharif season of 2022, aimed to evaluate genetic variability, heritability, genetic advance, and diversity for morpho-physiological traits in finger millet (Eleusine coracana (L.) Gaertn.) using 39 genotypes. Significant genetic variation was identified for all studied traits through variance analysis. While moderate to high values of Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV) were observed for most traits, exceptions were noted for days to 50 percent flowering, days to maturity, relative water content in leaves, and chlorophyll stability index. The study revealed high heritability with moderate to high genetic advance as a percent of the mean for most traits, suggesting the prevalence of additive gene effects. However, chlorophyll stability index and relative water content exhibited lower values. D2 analysis indicated the existence of sufficient genetic diversity among the genotypes. The genotypes were categorized into five distinct non-overlapping clusters. Cluster I, the largest cluster with 35 genotypes, displayed maximum intra-cluster distance. Clusters V and III had the highest inter-cluster distances, Days to maturity played a significant role in overall divergence. The findings suggest that a direct selection approach in finger millet landraces could lead to a substantial increase in yield response. This research provides valuable insights into the genetic characteristics of finger millet genotypes, offering a foundation for targeted breeding programs to enhance crop improvement.
Beamlets and Multiscale Modeling
Authors: Huo Xiaoming 
Published: October 2006

Abstract
Beamlets is a data structure to be used to analyze linear or curvilinear features in two dimensional space. Beamlets are a collection of dyadically organized line segments, taking a range of positions, orientations, and having various lengths. The key advantage of such a data structure is that it forms a multiscale framework for linear and curvilinear features. This data structure enables new methods in statistical modeling, statistic estimation, denoising, data reduction, and compression. The new methods are both computationally efficient and theoretically optimal. The derived methods are particularly suitable for large size data.
Computer Vision, Statistics in
Authors: Chellappa Rama , Chowdhury Amit K. Roy 
Published: October 2006

Abstract
Computer Vision (CV) broadly refers to the discipline where extraction of useful 2D and/or 3D information from one or more images is of interest. Useful information could consist of features such as edges, lines, curves and textures, or information about depth, motion, object descriptions, etc. CV problems are usually ill‐posed inverse problems. Since the image data is usually obtained from sensors such as video cameras, infrared, radar, etc., the information extraction processes often have to deal with data that is corrupted by noise from the sensors and the environment. Statistics can help in obtaining robust and accurate solutions to these inverse problems by modeling the noise processes. We present here a broad overview of the applications of statistics to different computer vision problems and explain in detail two particular applications, tracking and motion analysis, where statistical approaches have been used very successfully.
C
opula Process,
A
rchimedean
Authors: Malov S. V. 
Published: October 2006

Abstract

Archimedean copulas have a wide field of applications in probability theory and in mathematical statistics. The copula arose first in the work of Sklar [14]. It is the function which characterizes principal connection of components in a random vector independently of marginal distributions. Archimedean copula process was introduced as a generalization of the scheme of independent random variables. The most of interesting applications of this object was in the order statistics theory and in the extreme values theory. The extreme type theorems and some characterizations of classes of sequences via properties of order statistics and record values can be improved from the class of independent random variables to the class of Archimedean copula processes. In this way the proportional Archimedean copula process appeared as the generalization of the
F
α
‐scheme for independent random variables. Some representations of the Archimedean copula process via independent random variables will be also given.
Continuum Regression
Authors: Sundberg Rolf 
Published: October 2006

AbstractWhen, in a multiple regression, regressors are near‐collinear, so‐called regularized or shrinkage regression methods can be highly preferable to ordinary least squares, by trading bias for variance. Continuum regression, introduced by Stone and Brooks in 1990, ties together several more classical regularized regression methods, such as principal components regression, partial least squares regression, and ridge regression.
Spacings, Linear Combinations of
Authors: Huffer Fred W. , Lin Chien‐Tai 
Published: October 2006

Abstract
Problems involving the distribution of linear combinations of spacings occur in many areas of statistics. This article gives expressions for the density and distribution function of an arbitrary linear combination of spacings. General methods are also presented for computing the distribution of the maximum or minimum of any finite collection of linear combinations of spacings. When the coefficients of the linear combinations are rational, these methods can be implemented on computer algebra systems to produce exact symbolic expressions for the distributions. These expressions can be used to compute numerical answers accurate to any required degree of precision.
Spearman Correlation Coefficients, Differences between
Authors: Myers Leann , Sirois Maria J. 
Published: October 2006

Abstract

Testing the equality of two population correlation coefficients when the data are bivariate normal and Pearson correlation coefficients are used as estimates of the population parameters is a straightforward procedure covered in many introductory statistics courses. The coefficients are converted using Fisher's
z
‐transformation with standard errors (
N
− 3)
−1/2
. The two transformed values are then compared using a standard normal procedure. When data are not bivariate normal, Spearman's correlation coefficient rho is often used as the index of correlation. Comparison of two Spearman rhos is not as well documented. Three approaches were investigated using Monte Carlo simulations. Treating the Spearman coefficients as though they were Pearson coefficients and using the standard Fisher's
z
‐transformation and subsequent comparison was more robust with respect to Type I error than either ignoring the nonnormality and computing Pearson coefficients or converting the Spearman coefficients to Pearson equivalents prior to transformation.
Kurtosis
Authors: Zenga Michele 
Published: October 2006

AbstractThe interpretation of the kurtosis index β2proposed by Karl Pearson is first examined. The Moors' indexTbased on quantiles and some partial orderings of kurtosis (by Van Zwet, Laurence, and Loh) are presented. Zenga's new approach to kurtosis, working for symmetrical as well as for asymmetrical distribution, is introduced. This latter approach is based on the definition of a particular transformation increasing kurtosis; a kurtosis curve, for the left and the right side of a distribution, can thus be obtained.
Partial Least Squares Regression
Authors: Helland Inge 
Published: October 2006

AbstractPartial least squares regression was introduced as an algorithm in the early 1980s, and it has gained much popularity in chemometrics. PLSR—or PLSR1—is a regression method for collinear data, and can be seen as a competitor to principal component regression. The method makes it possible to combine prediction with a study of a joint latent structure in thex,y‐variables. PLSR2 is a generalization to several dependent variables. PLSR1 can be understood from a statistical point of view via its parameter algorithm and the corresponding population model.
Central Limit Theorems, Convergence Rates for
Authors: Nadarajah S. , Kotz S. 
Published: October 2006

AbstractIn this short entry, rates of convergence associated with central limit theorems are discussed. Specifically, the Liapunov bounds and the Berry‐Esseen bounds for the absolute value of the difference of the distribution of the standardized sums ofnrandom variables and the standard normal distribution are briefly described.
Income Inequality Measures
Authors: Dagum Camilo 
Published: October 2006

AbstractThis study purports to present, analyze, and evaluate the following:The income inequality measures (IIMs) proposed since Pareto and Gini and to derive their corresponding utility and disutility functions from the specification of a fundamental equation of income. Furthermore, a dual relationship between utility and disutility functions and between IIMs and social welfare functions are established.The decomposition approach of the generalized entropy measure (GEM) and the Gini ratio showing the extreme limitations of GEM to meaningful account for the contribution of the between‐group inequalities.The directional distance ratio (DDR) between binary combinations of income distributions showing that it is a better alternative to the decomposition approach, and unlike the latter, DDR offers sound policy implications.The distance function between income distributions.
Generalized Order Statistics
Authors: Kamps Udo 
Published: October 2006

AbstractOrder statistics and record values appear in many statistical applications and are widely used in statistical modeling and inference. Both models describe random variables arranged in ascending order of magnitude. Generalized order statistics provide a unified approach to a variety of models of ordered random variables with different interpretations, such as ordinary order statistics, sequential order statistics, progressively type II censored order statistics, record values,kth record values, and Pfeifer's records. These models can be effectively applied, for example, in reliability theory. Here, an order statistic represents the life length of somek‐out‐of‐nsystem, which is an important technical structure. For this application, sequential order statistics serve to describe influences of failures on the life‐length distributions of the remaining components. Record values are used in shock models, and they are closely connected with the occurrence times of some corresponding nonhomogeneous Poisson process, with some minimal repair scheme, and with the relevation transform. The distribution theory of generalized order statistics is established along the lines of ordinary order statistics. By this, we find that many well‐known properties of order statistics and record values are also valid for generalized order statistics. The results on generalized order statistics concern their distribution theory, relations and bounds for moments, characterizations of distributions, preservation of aging properties and stochastic ordering, extreme‐value theory, and statistical inference with respect to model and distribution parameters.
Surrogate Markers
Authors: Molenberghs Geert 
Published: October 2006

Abstract

The validation of surrogate endpoints has been studied by Prentice. He presented a definition as well as a set of criteria that are equivalent if the surrogate and true endpoints are binary. Freedman and colleagues supplemented these criteria with the so‐called
proportion explained
. Buyse and Molenberghs proposed to replace the proportion explained by two quantities:
(i)
the
relative effect
linking the effect of treatment on both endpoints and
(ii)
the
adjusted association
, an individual‐level measure of agreement between both endpoints. Later, a number of proposals have been made to replace the single‐unit validation measures by multiunit (e.g., meta‐analytic) counterparts.
Musicology, Statistics in
Authors: Beran Jan 
Published: October 2006

AbstractQuantitative musicology is a relatively new field of statistical applications that is increasingly important due to the availability of digitized data. In principle, all fields of statistical theory are potentially useful. In contrast to genuinely quantitative sciences, many questions in musicology have no unique ‘correct’ answer, and often no strictly objective optimality criterion exists to find an optimal solution to a problem. In this paper, some typical examples illustrate the role of statistics in musicology
MODEL—molecular descriptor lab: A web‐based server for computing structural and physicochemical features of compounds
Authors: Li Z.R. , Han L.Y. , Xue Y. , Yap C.W. , Li H. , Jiang L. , Chen Y.Z. 
Published: September 2006

AbstractMolecular descriptors represent structural and physicochemical features of compounds. They have been extensively used for developing statistical models, such as quantitative structure activity relationship (QSAR) and artificial neural networks (NN), for computer prediction of the pharmacodynamic, pharmacokinetic, or toxicological properties of compounds from their structure. While computer programs have been developed for computing molecular descriptors, there is a lack of a freely accessible one. We have developed a web‐based server, MODEL (Molecular Descriptor Lab), for computing a comprehensive set of 3,778 molecular descriptors, which is significantly more than the ∼1,600 molecular descriptors computed by other software. Our computational algorithms have been extensively tested and the computed molecular descriptors have been used in a number of published works of statistical models for predicting variety of pharmacodynamic, pharmacokinetic, and toxicological properties of compounds. Several testing studies on the computed molecular descriptors are discussed. MODEL is accessible at http://jing.cz3.nus.edu.sg/cgi‐bin/model/model.cgi free of charge for academic use. Biotechnol. Bioeng. 2007;97: 389–396. © 2006 Wiley Periodicals, Inc.
Modeling of local dynamic behavior of phenol degradation in an internal loop airlift bioreactor by yeast Candida tropicalis
Authors: Feng Wei , Wen Jianping , Liu Cuiyun , Yuan Qing , Jia Xiaoqiang , Sun Yan 
Published: September 2006

AbstractA coupled computational fluid dynamic (CFD) model, combining hydrodynamics with biochemical reactions, was developed to simulate the local transient flow patterns and the dynamic behaviors of cell growth and phenol biodegradation by yeast Candida tropicalis in an internal loop airlift reactor (ILALR). To validate this proposed model effectively, the simulated local hydrodynamic characteristics of the gas‐mineral salt medium solution (gas‐liquid) two‐phase system, at a phenol concentration of 1,200 mg L−1 and no presence of cells, was experimentally investigated in the ILALR using laser Doppler anemometer (LDA) measurements and conductivity probe. Furthermore, the validation of the simulated phenol biodegradation behavior by C. tropicalis at different initial concentrations of phenol and cell was also carried out in the ILALR. The time‐averaged and transient results of the model simulations illustrated a satisfactory agreement with the experimental data. Finally, the local instantaneous flow and phenol biodegradation features, including gas holdup, gas velocity, liquid velocity, cell concentration, and phenol concentration inside the ILALR were successfully predicted by the proposed model. Biotechnol. Bioeng. 2007;97: 251–264. © 2006 Wiley Periodicals, Inc.
Metabolic engineering of sesquiterpene metabolism in yeast
Authors: Takahashi Shunji , Yeo Yunsoo , Greenhagen Bryan T. , McMullin Tom , Song Linsheng , Maurina‐Brunker Julie , Rosson Reinhardt , Noel Joseph P. , Chappell Joe 
Published: September 2006

AbstractTerpenes are structurally diverse compounds that are of interest because of their biological activities and industrial value. These compounds consist of chirally rich hydrocarbon backbones derived from terpene synthases, which are subsequently decorated with hydroxyl substituents catalyzed by terpene hydroxylases. Availability of these compounds is, however, limited by intractable synthetic means and because they are produced in low amounts and as complex mixtures by natural sources. We engineered yeast for sesquiterpene accumulation by introducing genetic modifications that enable the yeast to accumulate high levels of the key intermediate farnesyl diphosphate (FPP). Co‐expression of terpene synthase genes diverted the enlarged FPP pool to greater than 80 mg/L of sesquiterpene. Efficient coupling of terpene production with hydroxylation was also demonstrated by coordinate expression of terpene hydroxylase activity, yielding 50 mg/L each of hydrocarbon and hydroxylated products. These yeast now provide a convenient format for investigating catalytic coupling between terpene synthases and hydroxylases, as well as a platform for the industrial production of high value, single‐entity and stereochemically unique terpenes. Biotechnol. Bioeng. 2007;97: 170–181. © 2006 Wiley Periodicals, Inc.