USE OF PROPOSALITY MEASURES IN THE PROBLEM OF DISTRIBUTING THE PRODUCTION PROGRAM BY THE SCHEDULED PERIOD ON THE BASIS OF THE SIMILARITY OF THE SIMILARITY OF DAKE, JACKARD, MAXFEDOR, OTIA, RAO, TANIMOTO

The distribution of the production program of many production options for planned periods of various durations is relevant for modern production. The specificity of this production is that from the same parts, assemblies (assembly units), many modifications and sizes of products can be assembled to satisfy more consumers. The complexes of work on individual products is neither a repetition of each other, nor completely different, but have some similarities and individual differences, and the production time is less than the planned period. In the work, the authors expressed the opinion that if the duration of the production cycle is less than the planned period, then the structural and technological features of individual products cannot be ignored in the tasks of distributing the production program (volume-calendar planning tasks). This statement is erroneous. Using such specifics, it is possible to improve the economic indicators of such production, and we have shown in this paper. The combination of similar structural and technological products in separate planning periods increases the specialization of production in separate periods, reduces losses from equipment downtime, increases labor productivity and reduces the load on the operating manager by reducing the number of planning and accounting units in each period. In the work, proximity measures are proposed based on the known similarity coefficients, since it is more convenient to algorithmize the distribution process of the production program. The authors proved that the proposed measures correspond to the Frechet axiomatics.

Morphological Variability of Mangosteen in Bengkulu Province (Variabilitas Morfologi Manggis di Provinsi Bengkulu)

<p>Mangosteen is a genetic resource scattered and cultivated by farmers in Bengkulu Province. The study aimed at determining the morphological variability of mangosteen. The study was conducted from March to October 2015 in Bengkulu province using on-site supervision and observation methods. The number of plants observed was 34 genotypes and qualitatively and quantitatively characterized based on the Center for Plant Variety Protection and Agriculture Licensing (CPVPAL) guide. The data of morphology were analyzed by comparing the average value, variance, and standard deviation. Relationship or data grouping phenotypic characters appearance were identified using NTSYS software version 2.1. The results show wide variability in the density of leaf, flower size, and fruit weight, while narrow variability is occurred in plant height and the thickness of the rind. Data analysis of mangosteen genotypes generated similarity coefficients range from 0.71 to 0.91 (71-91%). Genotype 24 and 27 have the closest relationship, with the similarity coefficient of 91%.</p><p><strong>Keywords</strong></p><p>Mangosteen; Morphology; Variability; Character; Phenotypic</p><p><strong>Abstract</strong></p><p>Manggis merupakan sumber daya genetik yang tersebar dan dibudidayakan oleh petani di Provinsi Bengkulu. Penelitian bertujuan untuk mengetahui variabilitas fenotipik buah manggis. Penelitian dilaksanakan pada bulan Maret sampai Oktober 2015 di Provinsi Bengkulu dengan menggunakan metode observasi langsung morfologi tanaman manggis yang telah berbuah. Jumlah tanaman yang diamati sebanyak 34 genotipe dan masing-masing genotipe diamati karakterisasi kualitatif dan kuantitatif berdasarkan panduan Pusat Perlindungan Varietas Tanaman dan Perizinan Pertanian (PPVTPP). Analisis data melalui perbandingan varian fenotipik dengan standar deviasi varian fenotipe diukur dengan nilai rata-rata, varians, dan standar deviasi. Kekerabatan atau pengelompokan data penampilan karakter fenotipik dilakukan dengan menggunakan software NTSys versi 2.1. Hasil penelitian menunjukkan bahwa variabilitas luas terdapat pada kerapatan daun, ukuran bunga, dan bobot buah, sedangkan variabilitas sempit pada karakter tinggi tanaman dan ketebalan kulit buah. Analisis genotipe manggis menghasilkan koefisien kemiripan sebesar 0,71-0,91 (71-91%). Dari dendogram diperoleh genotipe yang memiliki tingkat kekerabatan yang tinggi terdapat pada genotipe 24 dan 27 dengan nilai kemiripan sebesar 91%.<strong></strong></p>

Detection, in silico analysis and molecular diversity of phytoplasmas from solanaceous crops in Turkey

Phytoplasma-like symptoms of leaf yellowing and calyx malformation were observed in eggplant (Solanum melongena L.), upward leaves and fruit malformation in pepper (Capsicum annuum L.), and aerial tuber formation in potato (S. tuberosum L.) during the survey performed in the late season (August to September) of 2015 and 2016 in Van province (Turkey). A total of 100 samples were tested by nested-PCR using universal primer pairs to assess the sanitary status of the solanaceous crops and to characterise the phytoplasma isolates. Among them, seven samples resulted in a 1.25 kb DNA fragment, and five (two eggplants, two peppers, and one potato) were molecularly characterised (Accession No.: KY579357, KT595210, MF564267, MF564266, and MH683601). BLAST and the virtual restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes revealed the presence of two distinct phytoplasma infections in solanaceous crops: ‘Candidatus Phytoplasma trifolii’ a member of the clover proliferation group (16SrVI) and subgroup A and ‘Candidatus P. solani’ a member of the stolbur group (16SrXII) and subgroup A. The virtual RFLP analysis and calculated coefficients of RFLP pattern similarities further revealed a remarkable genetic diversity among the ‘Candidatus P. solani’ isolates infecting pepper (similarity coefficient of 0.90) and eggplant (similarity coefficients of 0.98 and 1.00) at the same geographical area. This is the first report of the natural occurrence of ‘Candidadtus P. trifolii’ in potato from the Eastern Anatolia region, Turkey.

Unclasping potential chickpea resources for biofortification of the antioxidant enzyme Superoxide Dismutase

Context: The Superoxide Dismutase enzyme plays a very decisive role in governing abiotic and biotic stresses infused the hypothesis for the study.Aims: The investigation was conducted to assess the diverseness and identify novel resources to be utilized in Superoxide Dismutase induced abiotic-biotic stress resistance breeding of chickpea.Methods: The plants were grown in triplicates under recommended agronomic practices using PUSA 256 as check in a randomized block design. Fresh leaves were collected for estimation of enzyme superoxide dismutase and DNA extraction. Number of pods was recorded on 20 individual plants from middle of the row for each of the 12 genotypes. Employing 32 STMS markers together with morpho-biochemical data, Jaccard’s similarity coefficients along with dendrograms were generated to compare and assess the diversity.Key results: Amongst genotypes, the BGD-70 vs ICRISAT-3668 were identified as poorest vs best performers for superoxide dismutase activity. Out of 32 STMS primers, 80 alleles with 2.5 an average per loci were found. The marker TA-80 was identified as most polymorphic. The genotypes ICRISAT-3668 and SBD 377, distantly located on different molecular clusters, expressed higher SOD activity indicating genetic governance, probably by limited number of polygenes / OTLs and might be utilized as potential resources for abiotic-biotic stress resistance.Conclusions: The genotypes ICRISAT-3668, SBD 377 and polymorphic marker TA-80 were identified as novel potential genetic resources.Implications: The identified resources may be employed to widen the germplasm base, prepare maintainable catalogue, systematic blueprints and bifortification for future chickpea breeding strategies targeting abiotic-biotic stresses.

Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT

ObjectiveDelineating swallowing and chewing structures aids in radiotherapy (RT) treatment planning to limit dysphagia, trismus, and speech dysfunction. We aim to develop an accurate and efficient method to automate this process.ApproachCT scans of 242 head and neck (H&N) cancer patients acquired from 2004-2009 at our institution were used to develop auto-segmentation models for the masseters, medial pterygoids, larynx, and pharyngeal constrictor muscle using DeepLabV3+. A cascaded architecture was used, wherein models were trained sequentially to spatially constrain each structure group based on prior segmentations. Additionally, an ensemble of models, combining contextual information from axial, coronal, and sagittal views was used to improve segmentation accuracy. Prospective evaluation was conducted by measuring the amount of manual editing required in 91 H&N CT scans acquired February-May 2021.Main resultsMedians and inter-quartile ranges of Dice Similarity Coefficients (DSC) computed on the retrospective testing set (N=24) were 0.87 (0.85-0.89) for the masseters, 0.80 (0.79- 0.81) for the medial pterygoids, 0.81 (0.79-0.84) for the larynx, and 0.69 (0.67-0.71) for the constrictor. Auto-segmentations, when compared to inter-observer variability in 10 randomly selected scans, showed better agreement (DSC) with each observer as compared to inter-observer DSC. Prospective analysis showed most manual modifications needed for clinical use were minor, suggesting auto-contouring could increase clinical efficiency. Trained segmentation models are available for research use upon request via https://github.com/cerr/CERR/wiki/Auto-Segmentation-models.SignificanceWe developed deep learning-based auto-segmentation models for swallowing and chewing structures in CT and demonstrated its potential for use in treatment planning to limit complications post-RT. To the best of our knowledge, this is the only prospectively-validated deep learning-based model for segmenting chewing and swallowing structures in CT. Additionally, the segmentation models have been made open-source to facilitate reproducibility and multi-institutional research.

Investigation of the boundary layer zone with an aerodynamic flow around an axisymmetric spindle-shaped body for solving conjugate problems of heat and mass transfer

The article discusses the possibility of calculating the thickness of the boundary layer when flowing around an axisymmetric spindle-shaped body without using empirical similarity coefficients. For this, the use of physical analogy of processes is proposed. The necessary flow conditions are described. The two-dimensional Laplace equation is solved for the near-surface region of the laminar flow around the body, obtained by rotating a curve of a given shape. When solving the problems of conjugate heat transfer, the regularities of the interaction of the flow with the body surface are taken into account, which, as a result, is reduced to the joint solution of the boundary layer equations describing the flow field and the heat conduction equations describing the propagation of temperature fields inside and outside the body. In view of the complexity or impossibility of the analytical solution of such problems, it is customary to resort to numerical methods for solving these equations. Even the numerical solution of the conjugate heat transfer problem is associated with a huge number of calculations, the availability of computing power and significant time costs. Therefore, it is customary to solve such problems in a quasi-stationary approximation, which imposes certain restrictions on the scope of application

Disentangling potential genotypes for macro and micro nutrients and polymorphic markers in Chickpea

Background- The present investigation was conducted to assess the nutritional diverseness and identify novel genetic resources to be utilized in chickpea breeding for macro and micro nutrients. Methods-The plants were grown in randomized block design. Nutritional and phytochemical properties of nine chickpea genotypes were estimated. The EST sequences from NCBI database were downloaded in FASTA format, clustered into contigs using CAP3, mined for novel SSRs using TROLL analysis and primer pairs were designed using Primer 3 software. Jaccard’s similarity coefficients were used to compare the nutritional and molecular indexes followed by dendrograms construction employing UPGMA approach. Results- The genotypes PUSA-1103, K-850, PUSA-1108, PUSA-1053 and the EST-SSR markers ICCeM012, ICCeM0049, ICCeM0070, ICCeM0078, SVP55, SVP95, SVP96, SVP146, SVP213 & SVP217 were found as potential donor / marker resources for the macro-micro nutrients. The genotypes differed (p<0.05) for nutritional properties. Amongst newly designed primers, 6 were found polymorphic with median PIC (0.46). The alleles per primer ranged 1 to 8. Cluster analysis based on nutritional and molecular diversities partially matched to each other in principle. Conclusion-The identified novel genetic resources may be used to widen the germplasm base, prepare maintainable catalogue and identify systematic blueprints for future chickpea breeding strategies targeting macro-micro nutrients.

TYPOLOGICAL, TECHNICAL AND TECHNOLOGICAL CHARACTERISTICS OF THE EARLY VOLOSOVO CERAMICS IN THE MARI VOLGA REGION

В статье представлены новые результаты изучения керамики волосовской культуры территории Среднего Поволжья. В ходе обобщающего исследования было выявлено, что в ранней волосовской керамике преобладают прямые и утолщенные венчики. Преимущественно прямая профилировка сосудов. Высок процент орнаментированной посуды, общая схема орнаментации горизонтальная и вертикальная. В качестве элемента орнамента превалируют оттиски гребенчатого штампа. При подсчете коэффициента сходства 9 рассмотренных в работе памятников, относящихся к ранней волосовской культуре, было выявлено, что наиболее высокие коэффициенты сходства получены при подсчете по формам венчиков и элементам орнамента. По результатам технико-технологического анализа также выражена стандартизация рассматриваемых материалов. The paper presents new results of study of ceramics from the Volosovo culture sites located in the Middle Volga region which is important for research of the Volosovo culture. This synthesis-oriented research has found that straight and thick rims predominate among the early Volosovo ceramics. Vessel profiling is predominantly straight. The ornamented vessels account for a large percentage share of the found vessels, the decoration pattern is organized horizontally and vertically. The comb stamp imprints predominate as a decorative element. The calculations of the similarity coefficient for nine sites attributed to the Early Volosovo culture demonstrate that the highest similarity coefficients have been obtained for rim shapes and decorative pattern elements. The results of the technical and technological analysis also demonstrate standardization of the analyzed materials.

Selective Image Segmentation Models Using Three Distance Functions

Image segmentation can be defined as partitioning an image that contains multiple segments of meaningful parts for further processing. Global segmentation is concerned with segmenting the whole object of an observed image. Meanwhile, the selective segmentation model is focused on segmenting a specific object required to be extracted. The Convex Distance Selective Segmentation (CDSS) model, which uses the Euclidean distance function as the fitting term, was proposed in 2015. However, the Euclidean distance function takes time to compute. This paper proposed the reformulation of the CDSS minimization problem by changing the fitting term with three popular distance functions, namely Chessboard, City Block, and Quasi-Euclidean. The proposed models were CDSSNEW1, CDSSNEW2, and CDSSNEW3, which applied the Chessboard, City Block, and Quasi-Euclidean distance functions, respectively. In this study, the Euler-Lagrange (EL) equations of the proposed models were derived and solved using the Additive Operator Splitting method. Then, MATLAB coding was developed to implement the proposed models. The accuracy of the segmented image was evaluated using the Jaccard and Dice Similarity Coefficients. The execution time was recorded to measure the efficiency of the models. Numerical results showed that the proposed CDSSNEW1 model based on the Chessboard distance function could segment specific objects successfully for all grayscale images with the fastest execution time as compared to other models.

Variation and Phenetic Relationship of Tobacco (Nicotiana tabacum L.) In Central Java and Yogyakarta Based on Morphological Characters

Tobacco (Nicotiana tabacum L.) is a plant used as a mixture of cigarettes, and recreational media especially for men. This study aimed to identify variations, and determine the relationship between tobacco cultivars in Central Java and Yogyakarta based on macromorphological and micromorphological characters. Sampling locations are determined by surveying locations in both regions. Tobacco samples found include 5 cultivars in Central Java namely 'Mantili', 'Uler Magetan', 'Garut', ‘Gober Boyolali’, 'Manila', and 3 cultivars in Yogyakarta namely 'Siluk', 'Java', and 'Virginia'. Characterization with 23 qualitative macromorphological characters including leaves, and stems, with 9 qualitative and quantitative micromorphological characters including trichome and stomata. Descriptive data analysis is done to obtain the typical character of each cultivar, followed by numerical analysis including scoring characters processed with MVSP (Multi Variate Statistical Package), clustering with UPGMA (Unweighted Pair Group Method with Averages), and calculation of similarity coefficients with Simple matching formula. The results showed variations in the macromorphological characters including the shape of the leaf lamina, the base of the leaf, the absence of leaf stalks, and type of leaf venation. Tobacco has anisositic stomata, and varies in terms of length, width, and density of stomata. Tobacco trichomes are glandular. The result dendrograms form two clusters (A and B) with the similarity index of each cluster above 0.80. Cultivars with close relationships such as 'Siluk'-'Java', and far relationship like 'Java'-'Manila'.