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Journal articles on the topic 'Alphanso'

Author: Grafiati

Published: 6 September 2023

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1

Ghosh, S. K., S. K. Ray, and M. A. Hasan. "Studies on the Incidence of Anthracnose Disease in Different Varieties of Mango (Mangifera Indica L.) and it's in Vitro Biocontrol Measures." American Journal of Agricultural Science, Engineering, and Technology 2, no. 1 (August 26, 2018): 51–60. http://dx.doi.org/10.54536/ajaset.v2i1.32.

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Anthracnose of mango caused by Colletotrichum gloeosporioides) is a very serious disease. Leaves, panicles, immature and mature fruits of mango are infected and damaged by this disease. The symptoms of this disease on infected parts were noted. The incidence of disease on leaves was studied on fourteen varieties of mango viz. Himsagar, Dashehari, Vanraj, Farnandin, Mulgoa, Bombai, Kishanbhog, Bangalora, Alphanso, Langra, Mallika, Zardalu, Chausa and Suvarnrekha. In all the varieties the incidence of anthracnose ranged from 1 - 15 per cent. The disease incidence was maximum (15.00 per cent) in Kishanbhog followed by Bombai (12.00 per cent), Himsagar (9.00 per cent) and Bangalora (8.00 per cent). In contrast, the disease incidence was recorded minimum in Alphanso (1.00 per cent). Trichoderma viride and Beauveria bassiana were applied against Colletotrichum gloeosporioides in vitro and their antagonistic activity were recorded.

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2

Jena, R. C., K. C. Samal, P. K. Chand, and B. K. Das. "Molecular Characterization of 12 Mango Germplasm Using RAPD markers." Plant Tissue Culture and Biotechnology 20, no. 1 (August 30, 2010): 91–99. http://dx.doi.org/10.3329/ptcb.v20i1.5972.

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Randomly amplified polymorphic DNA (RAPD) markers were used for the genetic variation and relationship analysis among 12 Mango (Mangifera indica L.) germplasm. Five oligonucleotide primers were employed to amplify DNA from 12 cultivars. PCR amplification with five primers generated 45 reproducible, clear and distinct bands, out of which 41 bands are considered polymorphic and the remaining four fragments (8.88%) monomorphic. The size of amplified product ranged from 200 (RPI-5) to 3000 base pairs (RPI-1) with an average of nine bands per primer. The average polymorphism in all the 12 cultivars using the five primers was found to be 91.91%. Among all the primers RPI-2 and RPI-4 have shown 100% polymorphism while RPI-5 was found to be least polymorphism (81.81%). One specific band, namely was found with RPI-5, in a particular variety, Chiratpuri. The UPGMA (Unweighted Pair Group Method of Arithmetic Mean) dendrogram based on Jaccard’s similarity coefficient segregated the 12 mango germplasm into two clusters. Langra, Chiratpuri, Pravasankar, Alphanso, Sindhu and Kesar formed one cluster and rest six mango germplasm grouped together into another cluster. Sindhu and Alphanso cultivar pair was very close to each other with highest similarity coefficient (0.78), which was comparatively higher than all other cultivar pairs. On the other hand, Pravasankar and Neelam cultivar pair was more distinct to each other with the lowest intervarietal similarity coefficient 0.38. This study showed clearly that cultivars from Orissa unveiled maximum diversity and indicated the potential of RAPD markers for the identification of management of mango germplasm for breeding purposes. Key words: Molecular characterization, Mango germplasm, Dversity D.O.I. 10.3329/ptcb.v20i1.5972 Plant Tissue Cult. & Biotech. 20(1): 91-99, 2010 (June)

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3

Li, X., M. W. Graner, E. L. Williams, C. E. Roote, T. A. Bunch, and S. Zusman. "Requirements for the cytoplasmic domain of the alphaPS1, alphaPS2 and betaPS integrin subunits during Drosophila development." Development 125, no. 4 (February 15, 1998): 701–11. http://dx.doi.org/10.1242/dev.125.4.701.

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The integrins are a family of transmembrane heterodimeric proteins that mediate adhesive interactions and participate in signaling across the plasma membrane. In this study we examine the functional significance of the cytoplasmic domains of the alphaPS1, alphaPS2 and betaPS subunits of the Drosophila Position Specific (PS) integrin family by analyzing the relationship between cytoplasmic domain structure and function in the context of a developing organism. By examining the ability of ssPS molecules lacking the cytoplasmic domain to rescue embryonic abnormalities associated with PS integrin loss, we find that although many embryonic events require the betaPS cytoplasmic domain, this portion of the molecule is not required for at least two processes requiring PS integrins: formation of midgut constrictions and maintaining germband integrity. Furthermore, our studies demonstrate that mutant proteins affecting four highly conserved amino acid residues in the cytoplasmic tail function with different efficiencies during embryonic development, suggesting that interaction of PS integrins with cytoplasmic ligands is developmentally modulated during embryogenesis. We have also examined the ability of alphaPS1 and alphaPS2 to function without their cytoplasmic domains. By analyzing the ability of transgenes producing truncated alphaPS molecules to rescue abnormalities associated with integrin loss, we find that the cytoplasmic tail of alphaPS2 is essential for both embryonic and postembryonic processes, while this portion of alphaPS1 is not required for function in the wing and in the retina. Furthermore, temperature-shift experiments suggest roles for the alphaPS2 cytoplasmic domain in signaling events occurring in the developing wing.

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4

Roote, C. E., and S. Zusman. "Alternatively spliced forms of the Drosophila alphaPS2 subunit of integrin are sufficient for viability and can replace the function of the alphaPS1 subunit of integrin in the retina." Development 122, no. 6 (June 1, 1996): 1985–94. http://dx.doi.org/10.1242/dev.122.6.1985.

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The Drosophila inflated (if) gene encodes the alphaPS2 subunit of the PS family of integrins. The if transcript is spliced such that alphaPS2 is found in two alternative forms, alphaPS2(C) and alphaPS2(m8), which differ by 25 amino acid residues in a region shown to affect cation requirements and ligand specificity. In this study, we examine the functional significance of the protein isoforms of if by analyzing the ability of transgenes producing only one isoform to rescue developmental abnormalities associated with complete loss of PS2 integrin. We find that either form of alphaPS2 is sufficient to rescue if- animals to viability; however, the alphaPS2(C) form promotes higher survival of the organism. Furthermore, these studies suggest distinct roles for alphaPS2(C) and alphaPS2(m8) during development. When expressed in the developing wing, alphaPS2(m8) is more efficient at rescuing the if wing blister phenotype than is alphaPS2(C). Expression of alphaPS2(C) in the eye produces dominant disruption of photoreceptor organization. We have also examined the ability of alphaPS2 and alphaPS1 to maintain photoreceptor organization in the Drosophila retina. Clonal analysis of sectioned eyes suggests a requirement for alphaPS1, but not alphaPS2. However, ectopic expression of if(m8) or if(C) shows that either splice form Of alphaPS2 can functionally replace alphaPS1 and rescue the mew eye phenotype.

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5

Gaikwad, S. S., B. K. Sakhale, and R. F. Chavan. "Effect of 1– MCP concentration, exposure time and storage temperature on post-harvest quality of mango fruit cv. Alphanso." Food Research 4, no. 3 (January 22, 2020): 746–52. http://dx.doi.org/10.26656/fr.2017.4(3).289.

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Present research work was undertaken to study the effect of 1-Methyl Cyclopropene (1- MCP) on quality and shelf life of the mango fruits (Cv. Alphanso). The freshly harvested matured mango fruits were treated with fungicide at 0.5 µL/L concentration for 10 mins followed by washing and cleaning. The fruits were then exposed to different concentrations of 1-MCP viz. 0.5, 1.0, 1.5 and 2 µL/L at 20°C for 12 and 24 hrs respectively along with control fruits in an airtight chamber. The results obtained after conducting the above experiments indicated that the ripening was delayed by 1-MCP at early stages and shelf life of the fruit increases as the concentration of 1-MCP increased. Various physico-chemical changes such as physiological loss in weight (PLW), total soluble solids, surface colour, titrable acidity, ascorbic acid content and firmness of fruit was majorly influenced by 1-MCP which showed lower physiological loss in weight (11.6%), gradual increase in TSS from 9.7 to 22.1°Brix and colour from -3.63 to 2.59, considerable decrease was observed in titrable acidity from 1.34 to 0.14%, Ascorbic acid content from 81.18 to 25.2 mg/100 g and texture decreased from 312 to 66 gf respectively as compared to rest of the treatments and control fruits.

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6

Singh, H. S., Gundappa Baradevanal, and Kundan Kishore. "Differential damage of blossom midge, Procontarinia mangiferae (Felt) to mango cultivars and its impact on fruit retention and yield of variety Amrapali." Journal of Applied Horticulture 24, no. 03 (March 10, 2023): 313–16. http://dx.doi.org/10.37855/jah.2022.v24i03.55.

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The investigations on varietal (30) reaction and impact of inflorescence midge Procontarinia mangiferae (Felt) control practices on fruit retention and yield of mango variety Amrapali were carried out in the east coast region of India. Results revealed that the incidence of midge among the genotypes varied significantly (F29, 58 = 25.88; P< 0.00). The lowest incidence was recorded on Neelgoa (16.15%) followed by Neeleshan (26.1%) and the highest in Alphanso (86.27%), Totapuri (86.42%), H-39(87.39%), Amrapali (88.69%), and Lalsundari (89.48%). Based on the relative susceptibility of the genotypes (percent damage to blossom), genotypes were grouped in different categories. Every variety retained the fruits irrespective level of plant damage to the floral bud, having diverse genetic potential the fruit weight had no correlation with fruit number. The impact studies of midge control measure in Amrapali revealed that the floral damage in untreated plants ranged between 73.69-91.37 percent and 61.47-75.47 percent in treated trees. The fruit number at the harvesting stage ranged between 2.80-4.00/ panicle and 3.1-4.20/ panicle with a fruit weight ranging from 1.10 -1.43 and 1.23-1.50 kg/panicle, respectively.It was concluded that though the percent flower damage, fruit number, and yield per panicle differed significantly in treated and untreated trees, this statistical significance may not be of great economic importance at the maturity stage as 3-4 fruits per bunch in Amrapali gives standard yield.

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7

MP, Sharat, and Shiva Rathod. "A Study on Marketing Challenges Faced by Mango Farmers in the Gadag District." GBS Impact: Journal of Multi Disciplinary Research 8, no. 1 (2022): 51–62. http://dx.doi.org/10.58419/gbs.v8i1.812206.

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"Agriculture is one of India's most important economic sectors, contributing to over half of the country's GDP. India's ability to produce a wide range of items is well-known around the world. Marketing of the self-grown agricultural produces by the farmers is considered a most tedious task with the presence of middlemen (Bhagawan). Competitors, Unavailability of nearby markets and improper are the major circumstances in marketing. Production, grading, transportation, pricing, transmitting information from the production area to the market and from the market to the production area, and finished items are part of the marketing cycle. The agricultural marketing process includes the manufacture of goods and commodities, as well as transportation to and from the consumer. The objective of this study was to gather data on the challenges and potential of mango production and marketing. As a result, it has been identified as a source of significant and essential information on mango production trends and their marketing challenges. As a result, developmental activities should focus on the identified gaps that might help small-holder farmers exploit opportunities and fill skills and knowledge gaps to better their livelihoods. The present study took part in the Hulkoti, Gadag district, Alphanso is the most common variety grown in Gadag, but other cultivars such as Mallika and Ratnagiri are also popular. The study threw some light on mango marketing challenges and issues by the farmers. Primary data was collected during the study with a sample size of 30 mango farmers. The outcomes of the study are the farmers need training and education on preservation, processing, packaging, financial and marketing assistance, and forward and backward linkages. Farmers required entrepreneurs to market their mangoes, Cold storage, and improved technologies in the production and storage of mangoes."

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8

Lampert, Jay. "Deleuze and AlphaGo." Deleuze and Guattari Studies 17, no. 1 (February 2023): 27–54. http://dx.doi.org/10.3366/dlgs.2023.0501.

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It is time to update Deleuze and Guattari's contrast between Chess and Go in the ‘Nomadology’ Plateau with a discussion of AlphaGo, the artificial intelligence that revolutionised Go in 2016. I focus less on the political issues in Go nomadology, central as they are, and more on smooth space and time. I explain and speculate on some details in Go strategy, as well as some processes of machine learning. The relations between human Go, computer Go, and smooth-time nomadology remain unsettled, in my view, but many resources for nomadological analysis open up for readers who learn to play, and program, Go.

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9

Curtis Michel, F. "Quark-alphas." Nuclear Physics B - Proceedings Supplements 24, no. 2 (December 1991): 33–39. http://dx.doi.org/10.1016/0920-5632(91)90296-q.

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10

Martin-Bermudo, M. D. "Integrins modulate the Egfr signaling pathway to regulate tendon cell differentiation in the Drosophila embryo." Development 127, no. 12 (June 15, 2000): 2607–15. http://dx.doi.org/10.1242/dev.127.12.2607.

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Changes in the extracellular matrix (ECM) govern the differentiation of many cell types during embryogenesis. Integrins are cell matrix receptors that play a major role in cell-ECM adhesion and in transmitting signals from the ECM inside the cell to regulate gene expression. In this paper, it is shown that the PS integrins are required at the muscle attachment sites of the Drosophila embryo to regulate tendon cell differentiation. The analysis of the requirements of the individual alpha subunits, alphaPS1 and alphaPS2, demonstrates that both PS1 and PS2 integrins are involved in this process. In the absence of PS integrin function, the expression of tendon cell-specific genes such as stripe and beta1 tubulin is not maintained. In addition, embryos lacking the PS integrins also exhibit reduced levels of activated MAPK. This reduction is probably due to a downregulation of the Epidermal Growth Factor receptor (Egfr) pathway, since an activated form of the Egfr can rescue the phenotype of embryos mutant for the PS integrins. Furthermore, the levels of the Egfr ligand Vein at the muscle attachment sites are reduced in PS mutant embryos. Altogether, these results lead to a model in which integrin-mediated adhesion plays a role in regulating tendon cell differentiation by modulating the activity of the Egfr pathway at the level of its ligand Vein.

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11

Wanger, Ralph. "Captain Alpha’s Flying Circus." CFA Institute Magazine 25, no. 6 (November 2014): 47–48. http://dx.doi.org/10.2469/cfm.v25.n6.19.

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12

Dotman, CH, F. van Herp, GJ Martens, BG Jenks, and EW Roubos. "Dynamics of proopiomelanocortin and prohormone convertase 2 gene expression in Xenopus melanotrope cells during long-term background adaptation." Journal of Endocrinology 159, no. 2 (November 1, 1998): 281–86. http://dx.doi.org/10.1677/joe.0.1590281.

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The toad Xenopus laevis is able to adapt its skin color to background light intensity. In this neuroendocrine reflex, the proopiomelanocortin (POMC)-derived peptide alpha-melanophore-stimulating hormone (alphaMSH) is a key regulatory factor. In animals adapting to a black background, release of alphaMSH from the pituitary pars intermedia causes dispersal of melanin in skin melanophores. To investigate the long-term in vivo dynamics of alphaMSH production during black background adaptation, the biosynthetic rate of POMC and the contents of POMC, alphaMSH and the POMC processing enzyme precursor convertase 2 (PC2) have been studied in the pars intermedia using pulse-labeling, Western blot and radioimmunoassay. In control animals, adapted to a white background, the rate of POMC biosynthesis and the POMC content were low, while high alphaMSH and PC2 contents were found. After 1 week of adaptation to a black background, the rate of POMC biosynthesis and the POMC protein content had increased 19- and 3.7-fold respectively. These parameters attained a maximum level (28- and 5. 8-fold higher than control) after 3 weeks and remained at these elevated levels for at least 12 weeks. After 1 week, the pars intermedia content of alphaMSH was only 30% of the control level, but after 6 and 12 weeks, the alphaMSH level had increased to the control level. The PC2 content decreased to 52% of control after 1 week and stabilized after 3 weeks at a level slightly lower than the control value. The results show that during long-term background adaptation a steady-state situation is reached, with a balance between the biosynthesis, enzymatic processing and release of alphaMSH. The in vivo dynamics of the processing enzyme PC2 suggest a parallel storage and release of alphaMSH and mature PC2 in the Xenopus pituitary pars intermedia.

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13

Hanson, Roger. "More on alphas." Physics Teacher 36, no. 3 (March 1998): 131–32. http://dx.doi.org/10.1119/1.879977.

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14

Kakushadze, Zura. "101 Formulaic Alphas." Wilmott 2016, no. 84 (July 2016): 72–81. http://dx.doi.org/10.1002/wilm.10525.

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15

Lee, Byung-Doo. "Full-board position evaluation of 50 AlphaGo vs AlphaGo games, using influence function." Journal of Korea Game Society 21, no. 3 (June 30, 2021): 107–16. http://dx.doi.org/10.7583/jkgs.2021.21.3.107.

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16

Fowkes, RC, and JM Burrin. "Steroidogenic factor-1 enhances basal and forskolin-stimulated transcription of the human glycoprotein hormone alpha-subunit gene in GH3 cells." Journal of Endocrinology 179, no. 2 (November 1, 2003): R1—R6. http://dx.doi.org/10.1677/joe.0.179r001.

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Steroidogenic factor-1 (SF-1) is a key regulator of endocrine development, and mediates expression of gonadotrophin-specific genes in the pituitary. Basal and hormone stimulated transcription of the human glycoprotein hormone alpha-subunit gene (alphaGSU) in gonadotrophs involves SF-1 and its cognate binding site, the gonadotroph-specific element (GSE). In this study, we demonstrate that SF-1 significantly enhances basal and forskolin-stimulated transcription of the human alphaGSU promoter in GH(3) cells. Mutation of the GSE abolished the SF-1-mediated transactivation of basal alphaGSU promoter activity, and significantly attenuated the forskolin effect by 50%. Mutation of the Ser203 residue in SF-1 to Ala blocked basal transactivation of alphaGSU promoter activity, and halved the forskolin effect. These data collectively reveal a direct role for SF-1 and the GSE in mediating basal and forskolin-stimulated transcription of the human alphaGSU promoter in GH(3) cells. The phosphorylation site at Ser203 appears to be required for these effects.

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17

MOTOKI, Masao, Hiroshi Aso, Katsuya SEGURO, and Noriki NIO. ".ALPHA.s1-Casein film prepared using transglutaminase." Agricultural and Biological Chemistry 51, no. 4 (1987): 993–96. http://dx.doi.org/10.1271/bbb1961.51.993.

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18

Yu, Xiang, Chengliang Chai, Xinning Zhang, Nan Tang, Ji Sun, and Guoliang Li. "AlphaQO: Robust Learned Query Optimizer." International Journal of Software and Informatics 12, no. 1 (2022): 7–29. http://dx.doi.org/10.21655/ijsi.1673-7288.00275.

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19

Chen, Jim X. "The Evolution of Computing: AlphaGo." Computing in Science & Engineering 18, no. 4 (July 2016): 4–7. http://dx.doi.org/10.1109/mcse.2016.74.

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20

Beumer, K. J., J. Rohrbough, A. Prokop, and K. Broadie. "A role for PS integrins in morphological growth and synaptic function at the postembryonic neuromuscular junction of Drosophila." Development 126, no. 24 (December 15, 1999): 5833–46. http://dx.doi.org/10.1242/dev.126.24.5833.

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A family of three position-specific (PS) integrins are expressed at the Drosophila neuromuscular junction (NMJ): a beta subunit ((betaPS), expressed in both presynaptic and postsynaptic membranes, and two alpha subunits (alphaPS1, alphaPS2), expressed at least in the postsynaptic membrane. PS integrins appear at postembryonic NMJs coincident with the onset of rapid morphological growth and terminal type-specific differentiation, and are restricted to type I synaptic boutons, which mediate fast, excitatory glutamatergic transmission. We show that two distinctive hypomorphic mutant alleles of the beta subunit gene myospheroid (mys(b9) and mys(ts1)), differentially affect betaPS protein expression at the synapse to produce distinctive alterations in NMJ branching, bouton formation, synaptic architecture and the specificity of synapse formation on target cells. The mys(b9) mutation alters betaPS localization to cause a striking reduction in NMJ branching, bouton size/number and the formation of aberrant ‘mini-boutons’, which may represent a developmentally arrested state. The mys(ts1) mutation strongly reduces betaPS expression to cause the opposite phenotype of excessive synaptic sprouting and morphological growth. NMJ function in these mutant conditions is altered in line with the severity of the morphological aberrations. Consistent with these mutant phenotypes, transgenic overexpression of the betaPS protein with a heat-shock construct or tissue-specific GAL4 drivers causes a reduction in synaptic branching and bouton number. We conclude that betaPS integrin at the postembryonic NMJ is a critical determinant of morphological growth and synaptic specificity. These data provide the first genetic evidence for a functional role of integrins at the postembryonic synapse.

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21

Kruger, Claire, Nicole Beauchamp, Virginie Modeste, Fanny Morel-Despeisse, and Eric Chappuis. "Toxicological evaluation of alpha-galacto-oligosaccharides shows no adverse effects over a 90-day study in rats." Toxicology Research and Application 1 (January 1, 2017): 239784731771640. http://dx.doi.org/10.1177/2397847317716402.

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AlphaGOS®, an alpha-galacto-oligosaccharides product, is a mixture of bi-, tri- and tetrasaccharides derived from oligosaccharides in the raffinose family of oligosaccharides (RFOs), naturally occurring plant-derived sugars. RFOs are alpha α-1,6-linked chains of D-galactose attached to the 6-position of D-glucose and differ from the currently commercially available beta-galacto-oligosaccharides products in the chirality and glyosidic bonds. In order to determine the safety of AlphaGOS, rats were given 2000 mg AlphaGOS/kg/day daily via gavage over 90 days. Daily assessments of the animals showed no adverse clinical signs. No adverse treatment-related changes in feed consumption, body weight, clinical chemistry or hematology were noted. There were no adverse treatment-related changes in organ weights, gross or histopathology. Given these findings, it can be concluded that the no observed adverse effect level for AlphaGOS is greater than 2000 mg/kg/day.

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22

Stark, K. A., G. H. Yee, C. E. Roote, E. L. Williams, S. Zusman, and R. O. Hynes. "A novel alpha integrin subunit associates with betaPS and functions in tissue morphogenesis and movement during Drosophila development." Development 124, no. 22 (November 15, 1997): 4583–94. http://dx.doi.org/10.1242/dev.124.22.4583.

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We have identified a novel alpha integrin subunit in Drosophila, that associates with betaPS integrin. We report the temporal expression of the gene encoding this integrin subunit, which we have called alphaPS3, throughout development and the localization of its expression during embryogenesis. AlphaPS3 RNA was localized to tissues undergoing invagination, tissue movement and morphogenesis such as salivary gland, trachea, midgut, dorsal vessel, midline of the ventral nerve cord, amnioserosa and the amnioproctodeal invagination. AlphaPS3 DNA localized to the chromosomal vicinity of scab (scb), previously identified by a failure of dorsal closure. Embryos homozygous for the 119 allele of scb had no detectable alphaPS3 RNA and the 1035 allele of scb contains a Pelement inserted just 5′ of the coding region for the shorter of the gene's two transcripts. Furthermore, mutations in the scb locus exhibit additional defects corresponding to sites of alphaPS3 transcription, including abnormal salivary glands, mislocalization of the pericardial cells and interrupted trachea. Removal of both maternal and zygotic betaPS produced similar defects, indicating that these two integrin subunits associate in vivo and function in the movement and morphogenesis of tissues during development in Drosophila. Phenotypic similarities suggest that laminin A is a potential ligand for this integrin, at least in some tissues.

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23

Dwiasnati, Saruni, and Rahmat Rian Hidayat. "Penerapan Manajemen Risiko Menggunakan COSO: Enterprise Risk Management Framework Integrated Pada PT ALPHANET." Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi 8, no. 2 (September 25, 2022): 66–72. http://dx.doi.org/10.34010/jtk3ti.v8i2.7845.

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Dalam rangka meningkatkan efisiensi kegiatan operasional dan mutu pelayanan bank kepada nasabahnya, bank dituntut untuk mengembangkan strategi bisnis bank dengan lebih banyak memanfaatkan kemajuan teknologi informasi untuk meningkatkan daya saing bank. Penerapan teknologi informasi telah membawa perubahan dalam kegiatan operasional serta pengelolaan data bank sehingga dapat dilakukan secara lebih efisien dan efektif serta memberikan informasi secara lebih akurat dan cepat. Perkembangan produk perbankan berbasis teknologi diantaranya berupa Autometicly Teller Mecine (ATM), Elektronic Data Capture (EDC), Mobile Banking, E-Money dan Internet Banking. Dari beberapa perkembangan teknologi tersebut, tidak sedikit bank menggunakan jasa pihak ketiga dalam penyediaan sistem dan pelayanan, salah satunya ialah PT Alphanet. PT Alphanet adalah salah satu dari tiga perusahaan penyelenggara jejaring ATM di Indonesia. PT Alphanet berusaha memberikan dukungan untuk bank, lembaga keuangan dan partner atau mitra lain dengan memberikan solusi yang inovatif guna memenuhi kebutuhannya. Proses analisa penelitian ini menggunakan kerangka COSO: ERM (Enterprise Risk Management) Framework untuk membantu PT Alphanet menyusun dalam menerapkan unit risk management dan juga dapat mengelola risiko. Hasil analisa menunjukan bahwa aktivitas di unit IT yang telah di identifikasi sebagian besar mendapatkan kategori risiko Low yang itu artinya Risiko dapat di terima oleh pihak manajemen dan juga telah dilakukan penyusunan kebijakan manajemen risiko yang dapat di terapkan di PT Alphanet.

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24

Fuller, Russell J. "Behavioral Biases and Alphas." AIMR Conference Proceedings 1995, no. 7 (December 1995): 31–35. http://dx.doi.org/10.2469/cp.v1995.n7.6.

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25

Petrasso, Richard D. "Will the alphas abscond?" Nature 369, no. 6476 (May 1994): 105–6. http://dx.doi.org/10.1038/369105a0.

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26

Skoglund, G., A. Basmaciogullari, B. Rouot, JC Marie, and G. Rosselin. "Cell-specific localization of G protein alpha-subunits in the islets of Langerhans." Journal of Endocrinology 162, no. 1 (July 1, 1999): 31–37. http://dx.doi.org/10.1677/joe.0.1620031.

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G protein alpha-subunits are involved in the transduction of receptor-mediated regulation of insulin and glucagon secretions. To get further insight into the status of G proteins in alpha- and beta-cells of the Langerhans islets, we have used immunohistochemistry to study the distribution of alpha-subunits in pancreas sections from the rat. Our results show that only insulin-immunoreactive beta-cells display immunoreactivity for selective antibodies directed against the different members of the Galphas and Galpha12-families (alphas, alphaolf, and alpha12, alpha13 respectively). Immunoreactivities for antibodies directed against members of the Galphaq- and Galphai-families showed a more diverse localization: alpha11 and alphao2 were only detected in glucagon-immunoreactive alpha-cells, whereas alphai1 was detected in all beta-cells but only in a few alpha-cells. Even though beta-cells showed immunoreactivities for alphao-non-isoform-selective antibodies, we could not identify the isoform(s) present using selective alphao1 and alphao2 antibodies. Other members of the Galphai- and Galphaq-families (alphai3, alphat2, alphaz and alphaq) were detected in both alpha- and beta-cells. In conclusion, our findings demonstrate a clear difference in the localization of G protein alpha-subunits between alpha- and beta-cells, suggesting the involvement of specific receptor transduction pathways for the neuronal/hormonal regulation of alpha- and beta-cell functions.

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Fowkes, RC, KK Sidhu, JK Sosabowski, P. King, and JM Burrin. "Absence of pituitary adenylate cyclase-activating polypeptide-stimulated transcription of the human glycoprotein alpha-subunit gene in LbetaT2 gonadotrophs reveals disrupted cAMP-mediated gene transcription." Journal of Molecular Endocrinology 31, no. 2 (October 1, 2003): 263–78. http://dx.doi.org/10.1677/jme.0.0310263.

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Hormone regulation of anterior pituitary expression of the common glycoprotein hormone alpha-subunit (alphaGSU) is mediated by multiple response elements residing in the first -435 bp of the human promoter. In rat pituitary cells and mouse alphaT3-1 precursor gonadotrophs, the human alphaGSU promoter is strongly responsive to activators of the adenylyl cyclase/cAMP pathway, such as the hypothalamic releasing hormone, pituitary adenylate cyclase-activating polypeptide (PACAP) and forskolin (an adenylyl cyclase activator). However, the role of PACAP and cAMP in regulating alphaGSU transcription in the more differentiated LbetaT2 gonadotroph is unclear. Here, we investigate the regulation of the human alphaGSU promoter by PACAP and forskolin in LbetaT2 and alphaT3-1 gonadotrophs. PACAP failed to stimulate alphaGSU promoter activity or cAMP production in LbetaT2 cells, in marked contrast to alphaT3-1 cells. LbetaT2 gonadotrophs expressed extremely low levels of any PACAP type 1 receptors (PAC(1)-R) isoform by RT-PCR and lacked PAC(1)-R by radioligand binding. Forskolin stimulated the alphaGSU promoter in LbetaT2 cells, but by less than 30% of the response seen in alphaT3-1 gonadotrophs. This blunted cAMP transcriptional effect was not due to different levels of cAMP generation, or altered expression of the cAMP target proteins CREB, Akt, CBP or ICER. However, only LbetaT2 cells showed detectable expression of the protein kinase A type IIalpha regulatory subunit. Binding of activating transcription factor-2 and phosphorylated CREB to the consensus CRE was observed in both LbetaT2 and alphaT3-1 gonadotrophs, yet forskolin failed to stimulate either CRE- or CREB-mediated transcription in LbetaT2 cells. Collectively, these data demonstrate the lack of functional PACAP receptors in LbetaT2 gonadotrophs, and a pronounced attenuation in the responsiveness of this differentiated gonadotroph cell line to cAMP stimulus.

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Bollinger, Terry. "Why AlphaFold is Not Like AlphaGo." Terry's Archive Online 2021, no. 02 (April 12, 2021): 0206. http://dx.doi.org/10.48034/20210206.

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AlphaFold2 is the second major iteration of a protein structure predictor by Google-owned DeepMind Lab. DeepMind is famous for creating AlphaGo Zero, the first game-playing system to transcend the rules taught by human trainers. When AlphaFold2 made a significant leap in protein prediction accuracy in the fourteenth annual CASP competition, even reserved publications like Nature were noticeably breathless in their praise of the results. It was not just the impressive and well-proven leap in prediction accuracy that made AlphaFold2 notable, but also its association with the DeepMind brand and implicitly with the beyond-human learning successes of AlphaGo Zero. But is this latter component of its notoriety and acclaim justified? That is, beyond superficial name similarities, is the design of AlphaFold2 sufficiently like that of AlphaGo Zero to enable a similar leap ahead of human knowledge and expertise? An analysis of the underlying designs says no. In contrast to the fully virtualized, faster-than-human learning speeds of AlphaGo Zero, the learning speed of AlphaFold2 remains firmly attached to and limited by human experimental time. AlphFold2 thus is inherently incapable of the trans-human leaps in learning speed demonstrated by AlphaGo Zero.

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Liu, Yingchen. "Applications of deep reinforcement learning Alphago." Applied and Computational Engineering 5, no. 1 (June 14, 2023): 637–41. http://dx.doi.org/10.54254/2755-2721/5/20230668.

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With the progress of the times, the field of artificial intelligence (AI) has become one of the hottest fields in the 21st century. Currently, artificial intelligence is successfully used in the retail, financial, and medical industries. Especially in 2016, Google's DeepMind used deep reinforcement learning to train AlphaGo and defeated Lee Sedol, which propelled the field into the public eye. Most people are aware of artificial intelligence, but few understand it. This article will focus on analyzing the literature "Mastering the game of Go with deep neural networks and tree search" and other related articles to introduce the basics of deep reinforcement learning and AlphaGo. Finally, readers will understand how artificial intelligence can successfully imitate humans and defeat humans in Go.

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SUG, Hyontai. "Performance of Machine Learning Algorithms and Diversity in Data." MATEC Web of Conferences 210 (2018): 04019. http://dx.doi.org/10.1051/matecconf/201821004019.

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Recent world events in go games between human and artificial intelligence called AlphaGo showed the big advancement in machine learning technologies. While AlphaGo was trained using real world data, AlphaGo Zero was trained using massive random data, and the fact that AlphaGo Zero won AlphaGo completely revealed that diversity and size in training data is important for better performance for the machine learning algorithms, especially in deep learning algorithms of neural networks. On the other hand, artificial neural networks and decision trees are widely accepted machine learning algorithms because of their robustness in errors and comprehensibility respectively. In this paper in order to prove that diversity and size in data are important factors for better performance of machine learning algorithms empirically, the two representative algorithms are used for experiment. A real world data set called breast tissue was chosen, because the data set consists of real numbers that is very good property for artificial random data generation. The result of the experiment proved the fact that the diversity and size of data are very important factors for better performance.

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OTANI, Hajime, Fujio TAKAHASHI, and Fumisaburo TOKITA. "Antigenic reactivities of fragments obtained by cyanogen bromide cleavage of bovine .ALPHA.s1-casein toward antiserum to intact .ALPHA.s1-casein." Agricultural and Biological Chemistry 50, no. 3 (1986): 607–13. http://dx.doi.org/10.1271/bbb1961.50.607.

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Giri, Shailendra, Ashutosh Mangalam, Ramandeep Rattan, Aleksandar Denic, Benoit Viollet, and Moses Rodriguez. "AMP-activated protein kinase suppresses autoimmune CNS disease by regulating M1 type macrophage-Th17 axis (IRC5P.474)." Journal of Immunology 192, no. 1_Supplement (May 1, 2014): 125.23. http://dx.doi.org/10.4049/jimmunol.192.supp.125.23.

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Abstract AMPK is an energy-sensing metabolic switch implicating in various metabolic disorders. Here we report its new role in controlling the immunopathology of experimental autoimmune encephalitis by polarizing pro-inflammatory phenotype of Macrophage. AMPK alpha1 knockout (alpha1KO) developed severe EAE due to higher expression of IL17 with reduced IFNy and IL4. . AMPK alpha1KO also exhibited increased number of infiltrated mononuclear cells in CNS due to impaired blood brain barrier integrity. Macrophage from alpha1KO mice exhibited M1 type phenotype (IL10lowIL12/23high) with stronger capacity to induce allogenic and antigen-specific T-cell response and also heightened the encephalitogenic property of MOG35-55-primed CD4 T cells in B6 mice. Collectively, our data shows AMPK controls the clinical outcome of disease by regulating M1 phenotype-Th17 axis in animal model of MS.

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Chance, Don M. "The Alphas of Asset Allocators." Journal of Investing 25, no. 4 (November 30, 2016): 34–50. http://dx.doi.org/10.3905/joi.2016.25.4.034.

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Franzoni, Francesco, and José M. Marín. "Portable Alphas from Pension Mispricing." Journal of Portfolio Management 32, no. 4 (July 31, 2006): 44–53. http://dx.doi.org/10.3905/jpm.2006.644193.

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Lee, Jyh-Huei, and Dan Stefek. "Do Risk Factors Eat Alphas?" Journal of Portfolio Management 34, no. 4 (July 31, 2008): 12–25. http://dx.doi.org/10.3905/jpm.2008.709976.

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STALLINGS, WILLIAM M. "Mind Your p’s and Alphas." Educational Researcher 14, no. 9 (November 1985): 19–20. http://dx.doi.org/10.3102/0013189x014009019.

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Kakushadze, Zura, and Willie Yu. "Dead alphas as risk factors." Journal of Asset Management 19, no. 2 (September 18, 2017): 110–15. http://dx.doi.org/10.1057/s41260-017-0064-5.

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38

Mohamad, Azhar. "Seeking Negative Alphas Through Shorting." Global Business Review 18, no. 6 (August 8, 2017): 1488–506. http://dx.doi.org/10.1177/0972150917713035.

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Shorting involves selling stocks that one does not own. Advocates of shorting argue that it is needed to make the financial market a two-way (complete) market in which investors with bearish opinions can participate. To gain from shorting, short sellers hope to buy back the shorted stocks at a lower price. Obtaining ‘negative’ alphas or abnormal returns is thus desirable for short sellers as they imply the underperformance of the stocks and that a profit has been realized. Abnormal returns, according to Fama (1998), are anomalies that tend to disappear when reasonable changes are made to the methodology used to measure them. Diamond and Verrecchia (1987), however, theorize and argue a priori that an unusually large increase in short interest will be followed by a period of negative abnormal returns. Short interest is equal to the number of shorted shares divided by the number of shares available to be shorted. Using daily short interest data for stocks traded on the London Stock Exchange for the period of September 2003 to April 2010, we employ an event study to investigate the effects that follow shorting. Alphas and abnormal returns are measured according to the Market Model (MM), the Capital Asset Pricing Model (CAPM) and the Fama–French Three-factor Model (FF3F), and are estimated using different estimation windows of 60 and 120 days. In all the methodologies under study, we find significant negative alphas following shorting.

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Kakushadze, Zura. "Combining Alphas via Bounded Regression." Risks 3, no. 4 (November 4, 2015): 474–90. http://dx.doi.org/10.3390/risks3040474.

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40

Martin-Bermudo, M. D., I. Alvarez-Garcia, and N. H. Brown. "Migration of the Drosophila primordial midgut cells requires coordination of diverse PS integrin functions." Development 126, no. 22 (November 15, 1999): 5161–69. http://dx.doi.org/10.1242/dev.126.22.5161.

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Cell migration during embryogenesis involves two populations of cells: the migrating cells and the underlying cells that provide the substratum for migration. The formation of the Drosophila larval midgut involves the migration of the primordial midgut cells along a visceral mesoderm substratum. We show that integrin adhesion receptors are required in both populations of cells for normal rates of migration. In the absence of the PS integrins, the visceral mesoderm is disorganised, the primordial midgut cells do not display their normal motile appearance and their migration is delayed by 2 hours. Removing PS integrin function from the visceral mesoderm alone results in visceral mesoderm disorganization, but only causes a modest delay in migration and does not affect the appearance of the migrating cells. Removing PS integrin function from the migrating cells causes as severe a delay in migration as the complete loss of PS integrin function. The functions of PS1 and PS2 are specific in the two tissues, endoderm and mesoderm, since they cannot substitute for each other. In addition there is a partial redundancy in the function of the two PS integrins expressed in the endoderm, PS1 (alphaPS1betaPS) and PS3 (alphaPS3betaPS), since loss of just one alpha subunit in the midgut results in either a modest delay (alphaPS1) or no effect (alphaPS3). We have also examined the roles of small GTPases in promoting migration of the primordial midgut cells. We find that dominant negative (N17) versions of Rac and Cdc42 cause a very similar defect in migration as loss of integrins, while those of Rho and Ras have no effect. Thus integrins are involved in mediating migration by creating an optimal substratum for adhesion, adhering to that substratum and possibly by activating Rac and Cdc42.

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Ferson, Wayne E., Sergei Sarkissian, and Timothy Simin. "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression." Journal of Financial and Quantitative Analysis 43, no. 2 (June 2008): 331–53. http://dx.doi.org/10.1017/s0022109000003549.

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AbstractThis paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data snooping and spurious regression. We find that the regressions are reasonably well specified for conditional betas, even in settings where simple predictive regressions are severely biased. However, there are biases in estimates of the conditional alphas. When time-varying alphas are suppressed and only time-varying betas are considered, the betas become biased. Previous studies overstate the significance of time-varying alphas.

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MOTOKI, Masao, Katsuya SEGURO, Noriki NIO, and Koichi TAKINAMI. "Glutamine-specific deamidation of .ALPHA.S1-casein by transglutaminase." Agricultural and Biological Chemistry 50, no. 12 (1986): 3025–30. http://dx.doi.org/10.1271/bbb1961.50.3025.

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43

Zhang, Qiao. "Machine learning algorithm and training in Gotake three influential program as example." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 496–504. http://dx.doi.org/10.54254/2755-2721/6/20230845.

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In 2017, AlphaGo, an artificial intelligence in Go, beat KeJie----the No.1 Go player in 3-0, which have surprised the world, and artificial intelligence came to the attention of the public again. In this article, we take three influential artificial intelligence Go----AlphaGo, AlphaGo Zero and KataGo, as example to discuss how artificial intelligence Go work. We discuss them about their structures and training methods one by one in chronological order, which can also show the process of their development. In addition, some of the structures and training methods are enlightening to us, and we expect them can work in other fields.

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Hall, Ty. "King Alpha's Song in a Strange Land." CAML Review / Revue de l'ACBM 49, no. 2 (December 3, 2021): 113–15. http://dx.doi.org/10.25071/1708-6701.40418.

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45

Lee, Kyu-myoung. "Yeats and AlphaGo: A Poetics of Otherness." Yeats Journal of Korea 51 (December 31, 2016): 207–19. http://dx.doi.org/10.14354/yjk.2016.51.207.

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46

Magnani, Lorenzo. "AlphaGo, Locked Strategies, and Eco-Cognitive Openness." Philosophies 4, no. 1 (February 16, 2019): 8. http://dx.doi.org/10.3390/philosophies4010008.

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Locked and unlocked strategies are at the center of this article, as ways of shedding new light on the cognitive aspects of deep learning machines. The character and the role of these cognitive strategies, which are occurring both in humans and in computational machines, is indeed strictly related to the generation of cognitive outputs, which range from weak to strong level of knowledge creativity. I maintain that these differences lead to important consequences when we analyze computational AI programs, such as AlphaGo, which aim at performing various kinds of abductive hypothetical reasoning. In these cases, the programs are characterized by locked abductive strategies: they deal with weak (even if sometimes amazing) kinds of hypothetical creative reasoning, because they are limited in what I call eco-cognitive openness, which instead qualifies human cognizers who are performing higher kinds of abductive creative reasoning, where cognitive strategies are instead.

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Curran, Nathaniel Ming, Jingyi Sun, and Joo-Wha Hong. "Anthropomorphizing AlphaGo: a content analysis of the framing of Google DeepMind’s AlphaGo in the Chinese and American press." AI & SOCIETY 35, no. 3 (August 19, 2019): 727–35. http://dx.doi.org/10.1007/s00146-019-00908-9.

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Costa, Bruce A., Keith Jakob, Scott J. Niblock, and Elisabeth Sinnewe. "Australian Stock Indexes and the Four-Factor Model." Applied Finance Letters 3, no. 1 (June 30, 2014): 10. http://dx.doi.org/10.24135/afl.v3i1.17.

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Stock indexes are passive ‘value-weighted’ portfolios and should not have alphas which are significantly different from zero. If an index produces an insignificant alpha, then significant alphas for equity funds using this index can be attributed solely to manager performance. However, recent literature suggests that US stock indexes can demonstrate significant alphas, which ultimately raise questions regarding equity fund manager performance in both the US and abroad. In this paper, we employ the Carhart four-factor model and newly available Asian-Pacific risk factors to generate alphas and risk factor loadings for eight Australian stock indexes from January 2004 to December 2012. We find that the initial full sample period analysis does not provide indication of significant alphas in the indexes examined. However, by carrying out 36-month rolling regressions, we discover at least four significant alphas in seven of the eight indexes and factor loading variability. As previously reported in the US, this paper confirms similar issues with the four-factor model using Australian stock indexes and performance benchmarking. In effectively measuring Australian equity fund manager performance, it is therefore essential to evaluate a fund’s alpha and risk factors relative to the alpha and risk factors of the appropriate benchmark index.

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Fu, Michael C. "Simulation-Based Algorithms for Markov Decision Processes: Monte Carlo Tree Search from AlphaGo to AlphaZero." Asia-Pacific Journal of Operational Research 36, no. 06 (December 2019): 1940009. http://dx.doi.org/10.1142/s0217595919400098.

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AlphaGo and its successors AlphaGo Zero and AlphaZero made international headlines with their incredible successes in game playing, which have been touted as further evidence of the immense potential of artificial intelligence, and in particular, machine learning. AlphaGo defeated the reigning human world champion Go player Lee Sedol 4 games to 1, in March 2016 in Seoul, Korea, an achievement that surpassed previous computer game-playing program milestones by IBM’s Deep Blue in chess and by IBM’s Watson in the U.S. TV game show Jeopardy. AlphaGo then followed this up by defeating the world’s number one Go player Ke Jie 3-0 at the Future of Go Summit in Wuzhen, China in May 2017. Then, in December 2017, AlphaZero stunned the chess world by dominating the top computer chess program Stockfish (which has a far higher rating than any human) in a 100-game match by winning 28 games and losing none (72 draws) after training from scratch for just four hours! The deep neural networks of AlphaGo, AlphaZero, and all their incarnations are trained using a technique called Monte Carlo tree search (MCTS), whose roots can be traced back to an adaptive multistage sampling (AMS) simulation-based algorithm for Markov decision processes (MDPs) published in Operations Research back in 2005 [Chang, HS, MC Fu, J Hu and SI Marcus (2005). An adaptive sampling algorithm for solving Markov decision processes. Operations Research, 53, 126–139.] (and introduced even earlier in 2002). After reviewing the history and background of AlphaGo through AlphaZero, the origins of MCTS are traced back to simulation-based algorithms for MDPs, and its role in training the neural networks that essentially carry out the value/policy function approximation used in approximate dynamic programming, reinforcement learning, and neuro-dynamic programming is discussed, including some recently proposed enhancements building on statistical ranking & selection research in the operations research simulation community.

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Kakushadze, Zura, and Willie Yu. "How to combine a billion alphas." Journal of Asset Management 18, no. 1 (July 14, 2016): 64–80. http://dx.doi.org/10.1057/s41260-016-0004-9.

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