AHP analysis of classifying and positioning the crucial influential factors of brand establishment in the semiconductor industry

Abstract. This study categorizes the crucial influencing factors and positions them according to their importance in achieving the impact of semiconductor brand establishment on improving corporate performance and meeting customer needs. This study conducted an in-depth literature review that recognizes the crucial factors necessary for implementing influence in establishing a semiconductor brand. This study identifies five main variables and 17 subvariables, including “Customer value”, “Brand equity”, “Brand loyalty”, “Brand orientation” and “Brand performance”, and provides experts’ suggestions. The positioning of 17 subvariables and 5 main variables representing crucial influential factors was performed using an analytical hierarchy process (AHP) technique per their relevance in crucial influential factor implementation. The results show that 5 main variables and 17 subvariables play a vital role in the successful implementationof the impact of establishing a semiconductor brand, and  “Customer value” has gained more weight compared to the other main variables. ‘Addressing problem’, ‘Superior value’ and ‘New product development’ are more important than are other subvariables. The limitation of this study is that, first, although this study consults experts from the semiconductor industry and academia of various countries, their opinions are only relevant to their regions. Second, the development of this model only applies to the semiconductor industry. Third, only expert opinion variables were used for pairwise comparisons. This study compensates for the lack of key factors in establishing a semiconductor brand, using the literature and expert questionnaires to obtain the weight of each factor through the AHP method and ranking them in order of importance. It examines the overall situation of the practice of building brand comprehension, missing no factor, understanding where the key points areand using them effectively. This research advances the implementation focus of the key factors that affect the establishment of semiconductor brands. According to the results of the literature review, this study is the first on implementing key factors affecting the establishment of a semiconductor brand. This study attempts to fill this gap.Keywords. Crucial influential factors, Establishing semiconductor brand, AHP.JEL. C44, M21, M31, D81, L29

SMOOTH BRIGHTNESS TRANSITION FOR COMPUTING DEVICES

A brightness transition module is described that enables a computing device (e.g., a mobile phone, a camera, a tablet computer, etc.) to smoothly adjust an amount of light output by a display of the computing device when the computing device transitions between a high brightness mode and a normal mode (e.g., transitioning based on ambient lighting conditions). By smoothly adjusting the amount of light emitted by the display when transitioning between modes, the brightness transition module may prevent a sudden or abrupt change in the brightness (e.g., prevent a sudden flash when transitioning from the normal mode to the high brightness mode), thereby improving the user experience

Speeding up Resnet Architecture with Layers Targeted Low Rank Decomposition

Compression of a neural network can help in speeding up both the training and the inference of the network. In this research, we study applying compression using low rank decomposition on network layers. Our research demonstrates that to acquire a speed up, the compression methodology should be aware of the underlying hardware as analysis should be done to choose which layers to compress. The advantage of our approach is demonstrated via a case study of compressing ResNet50 and training on full ImageNet-ILSVRC2012. We tested on two different hardware systems Nvidia V100 and Huawei Ascend910. With hardware targeted compression, results on Ascend910 showed 5.36% training speedup and 15.79% inference speed on Ascend310 with only 1% drop in accuracy compared to the original uncompressed mode

The Convergence of Glutamate and GABA Dysregulation in Schizophrenia

Schizophrenia (SCZ) is a heterogeneous neurodevelopmental disorder that afflicts about 1% of the world population, imposing a huge financial and social burden on the community. Schizophrenia is characterized by three core features, positive (e.g., hallucinations, delusions) and negative symptoms (e.g., emotional blunting, reduced motivation), as well as cognitive impairments (i.e., working memory and attention deficits). Current antipsychotic treatments, which primarily target dopamine receptors, are effective at alleviating positive symptoms. However, dopamine‐specific therapies are insufficient to relieve negative symptoms and cognitive impairments, indicating other neuronal systems are involved in SCZ. Evidence for hypofunctioning glutamate and gamma‐aminobutyric acid (GABA) transmission in forebrain tissue has continued to culminate as major contributors to the onset of SCZ. Furthermore, recent genetic studies reveal disrupted mutations in neurodevelopmental proteins at glutamatergic and GABAergic synapses that are potentially responsible for the synaptic abnormalities seen in the disorder. Therefore, schizophrenia symptomatology is influenced by interactions of several neurotransmitter systems. In this chapter, we focus on how glutamatergic and GABAergic hypofunctioning contribute to the variety of symptoms presented in SCZ and its etiology. We also review the current treatment options with respect to their mechanism of action, side effects, and limitations and provide perspective of where research should be directed to move forward with treating this debilitating disease

Causes and Consequences of State Violence against Civilians: The Rohingya of Myanmar

While the United Nations describes Myanmar’s oppression of the Rohingya as “a textbook example of ethnic cleansing” (UN, 2017), the state maintains that the violence was idiosyncratic and not motivated by anti-Rohingya animus. We assemble existing and original large-sample data to evaluate these claims. First, we document systematic economic motives: violence against minority civilians increased in places suitable for rice cultivation when rice prices were high. Correspondingly, in an original representative survey of Rohingya refugees in Bangladesh we find substantial losses of agricultural land, inputs, and inventories. Next, using a vector auto-regression approach, we find that state violence was consistent with Rohingya-specific animus. The state attacked substantially more than the Rohingya militia, targeted civilians disproportionately relative to other ethnic conflicts in Myanmar, and leveraged nationalist religious ideology. Finally, we document high rates of trauma exposure and depression among Rohingya refugees. Together, these results strongly rebut the government’s narrative and illustrate how quantitative tools can shed light on episodes of ethnic cleansing

Magnetic record of deglaciation using FORC-PCA, sortable-silt grain size, and magnetic excursion at 26 ka, from the Rockall Trough (NE Atlantic)

Core MD04-2822 from the Rockall Trough has apparent sedimentation rates of ∼ 1 m/kyr during the last deglaciation (Termination I). Component magnetization directions indicate a magnetic excursion at 16.3 m depth in the core, corresponding to an age of 26.5 ka, implying an excursion duration of ∼350 years. Across Termination I, the mean grain size of sortable silt implies reduced bottom-current velocity in the Younger Dryas and Heinrich Stadial (HS)−1A, and increased velocities during the Bølling-Allerød warm period. Standard bulk magnetic parameters imply fining of magnetic grain size from the mid-Younger Dryas (∼12 ka) until ∼ 8 ka. First-order reversal curves (FORCs) were analyzed using ridge extraction to differentiate single domain (SD) from background (detrital) components. Principal component analysis (FORC-PCA) was then used to discriminate three end members corresponding to SD, pseudo-single domain (PSD), and multidomain (MD) magnetite. The fining of bulk magnetic grain size from 12 to 8 ka is due to reduction in concentration of detrital (PSD + MD) magnetite, superimposed on a relatively uniform concentration of SD magnetite produced by magnetotactic bacteria. The decrease in PSD+MD magnetite concentration from 12 to 8 ka is synchronized with increase in benthic δ13C, and with major (∼70 m) regional sea-level rise, and may therefore be related to detrital sources on the shelf that had reduced influence as sea level rose, and to bottom-water reorganization as Northern Source Water (NSW) replaced Southern Source Water (SSW).Research supported by US NSF grants 0850413 and 1014506, and the European R12esearch Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 320750. The UK NERC and BGS funded the recovery of Core MD04-2822

The decomposition of the Faroe-Shetland Channel water masses using Parametric Optimum Multi-Parameter analysis

The Faroe-Shetland Channel (FSC) is an important conduit for the poleward flow of Atlantic water towards the Nordic Seas and, as such, it plays an integral part in the Atlantic's thermohaline circulation. Mixing processes in the FSC are thought to result in an exchange of properties between the channel's inflow and outflow, with wider implications for this circulation; the nature of this mixing in the FSC is, however, uncertain. To constrain this uncertainty, we used a novel empirical method known as Parametric Optimum Multi-Parameter (POMP) analysis to objectively quantify the distribution of water masses in the channel in May 2013. This was achieved by using a combination of temperature and salinity measurements, as well as recently available nutrient and δ18O measurements. The outcomes of POMP analysis are in good agreement with established literature and demonstrate the benefits of representing all five water masses in the FSC. In particular, our results show the recirculation of Modified North Atlantic Water in the surface layers, and the pathways of Norwegian Sea Arctic Intermediate Water and Norwegian Sea Deep Water from north to south for the first time. In a final step, we apply the mixing fractions from POMP analysis to decompose the volume transport through the FSC by water mass. Despite a number of caveats, our study suggests that improved estimates of the volume transport of Atlantic inflow towards the Arctic and, thus, the associated poleward fluxes of salt and heat are possible. A new prospect to more accurately monitor the strength of the FSC branch of the thermohaline circulation emerges from this study

Downregulation of SREBP Inhibits Tumor Growth and Initiation by Altering Cellular Metabolism in Colon Cancer

Sterol regulatory element-binding proteins (SREBPs) belong to a family of transcription factors that regulate the expression of genes required for the synthesis of fatty acids and cholesterol. Three SREBP isoforms, SREBP1a, SREBP1c, and SREBP2, have been identified in mammalian cells. SREBP1a and SREBP1c are derived from a single gene through the use of alternative transcription start sites. Here we investigated the role of SREBP-mediated lipogenesis in regulating tumor growth and initiation in colon cancer. Knockdown of either SREBP1 or SREBP2 decreased levels of fatty acids as a result of decreased expression of SREBP target genes required for lipid biosynthesis in colon cancer cells. Bioenergetic analysis revealed that silencing SREBP1 or SREBP2 expression reduced the mitochondrial respiration, glycolysis, as well as fatty acid oxidation indicating an alteration in cellular metabolism. Consequently, the rate of cell proliferation and the ability of cancer cells to form tumor spheroids in suspension culture were significantly decreased. Similar results were obtained in colon cancer cells in which the proteolytic activation of SREBP was blocked. Importantly, knockdown of either SREBP1 or SREBP2 inhibited xenograft tumor growth in vivo and decreased the expression of genes associated with cancer stem cells. Taken together, our findings establish the molecular basis of SREBP-dependent metabolic regulation and provide a rationale for targeting lipid biosynthesis as a promising approach in colon cancer treatment