Real Anchor Research Articles

How Live Marketing Affects Green Purchase in the Age of Artificial Intelligence?

ABSTRACT With the rise of artificial intelligence and the public’s attention to environmental issues, live online promotion of green products has become a new marketing method. It has become a key issue for enterprises to choose the appropriate information framework to motivate consumers’ green purchasing behavior through different forms of live broadcasting. Combined with laboratory experiments, this study analyses the interaction between the type of live streaming and message framing on green purchase intention based on explanation level theory. Three experiments results show that using loss-framing message real anchors are more likely to promote consumers’ green purchase intentions, and AI anchors are more suitable for using gain frames. Besides, consumer innovativeness moderates the influence of message framing and live streaming form on green purchase intention, and green perceived value plays a mediating role in this process. Our findings can not only guide the formulation of enterprise marketing strategy, but also provide countermeasures and suggestions for the future development of live marketing.

Efficient Node Localization on Sensor Internet of Things Networks Using Deep Learning and Virtual Node Simulation

Localization is a primary concern for wireless sensor networks as numerous applications rely on the precise position of nodes. This paper presents a precise deep learning (DL) approach for DV-Hop localization in the Internet of Things (IoT) using the whale optimization algorithm (WOA) to alleviate shortcomings of traditional DV-Hop. Our method leverages a deep neural network (DNN) to estimate distances between undetermined nodes (non-coordinated nodes) and anchor nodes (coordinated nodes) without imposing excessive costs on IoT infrastructure, while DL techniques require extensive training data for accuracy, we address this challenge by introducing a data augmentation strategy (DAS). The proposed algorithm involves creating virtual anchors strategically around real anchors, thereby generating additional training data and significantly enhancing dataset size, improving the efficacy of DNNs. Simulation findings suggest that the proposed deep learning model on DV-Hop localization outperforms other localization methods, particularly regarding positional accuracy.

Effectiveness of Data Augmentation for Localization in WSNs Using Deep Learning for the Internet of Things.

Wireless sensor networks (WSNs) have become widely popular and are extensively used for various sensor communication applications due to their flexibility and cost effectiveness, especially for applications where localization is a main challenge. Furthermore, the Dv-hop algorithm is a range-free localization algorithm commonly used in WSNs. Despite its simplicity and low hardware requirements, it does suffer from limitations in terms of localization accuracy. In this article, we develop an accurate Deep Learning (DL)-based range-free localization for WSN applications in the Internet of things (IoT). To improve the localization performance, we exploit a deep neural network (DNN) to correct the estimated distance between the unknown nodes (i.e., position-unaware) and the anchor nodes (i.e., position-aware) without burdening the IoT cost. DL needs large training data to yield accurate results, and the DNN is no stranger. The efficacy of machine learning, including DNNs, hinges on access to substantial training data for optimal performance. However, to address this challenge, we propose a solution through the implementation of a Data Augmentation Strategy (DAS). This strategy involves the strategic creation of multiple virtual anchors around the existing real anchors. Consequently, this process generates more training data and significantly increases data size. We prove that DAS can provide the DNNs with sufficient training data, and ultimately making it more feasible for WSNs and the IoT to fully benefit from low-cost DNN-aided localization. The simulation results indicate that the accuracy of the proposed (Dv-hop with DNN correction) surpasses that of Dv-hop.

The role of gender-identity congruity in cross-gender endorsement in the context of live streaming

PurposeThis paper critically examines the effectiveness of male anchor in cross-gender endorsements and questions whether it can truly deliver positive outcomes for advertisers in the context of live streaming. It explores the underlying mechanisms of this effect by examining the mediation effect of perceived gender-identity incongruence and the moderation effect of anchor presence.Design/methodology/approachThree experiments are conducted to examine the effect of cross-gender endorsement on purchase intention.FindingsThe findings from three experiments provide empirical evidence that the endorsement of female-gendered products by male anchors leads to a significant decrease in the evaluation of these products among female consumers. This negative effect is mediated by a sense of gender-identity incongruence experienced by female consumers. Furthermore, the study demonstrates that female customers exhibit higher purchase intent for female-gendered products endorsed by male virtual anchors compared to real anchors; however, the same pattern was not observed in the case of female anchors.Originality/valueThis paper empirically examines the possible negative effects of the male anchor endorsement in the live streaming context. It reveals the underlying mechanism of this negative effect, and how the virtual “presence” take a role in this underlying mechanism.

AI Anchor vs Real Anchor: An Experimental Study based on Audience Perception

AI Anchor vs Real Anchor: An Experimental Study based on Audience Perception

Shear strength of the anchor embedded into masonry

This paper focuses on any straight bar, herein called “anchor”, inserted within a hole drilled into a masonry structure, installed orthogonally to the masonry surface, and bonded to the masonry either with an anchoring material or without (adhesive or mechanical anchors). The anchor is subjected to a transverse force applied at the end that protrudes from the masonry (i.e., a shear force having direction parallel to the masonry surface), while no appreciable axial force is applied to the anchor (shear anchor). In brief, the paper is devoted to the post-installed horizontal anchor that transfers vertical loads from a horizontal structure to a vertical masonry structure.On site experiments on real anchors allowed the author to establish the mechanical assumptions that govern the behavior of the shear anchor. Based on those assumptions, an analytical (closed form) model was created. The model is comprised of a function that gives the ultimate contact pressures, and a two-equation system whose solution is the maximum shear force that the anchor can bear, therefore called “shear strength”. The model also provides the elastic limit shear strength. The data to be entered into the model is composed of the geometry of the anchor and the strength of the masonry.The paper presents the experimental campaigns, the model, the application of the model to case studies, and a comprehensive discussion. The results put forward the optimal technical solutions for the masonry shear anchor, which are described.

Exchange rate policy and external vulnerabilities in Sub-Saharan Africa: nominal, real or mixed targeting?

ABSTRACT This paper discusses the theoretical choice of exchange rate regimes in Sub-Saharan African countries that are facing external vulnerabilities. To reduce instability, policymakers choose among promoting external competitiveness using a real anchor, lowering the burden of foreign debt using a nominal anchor or using a policy mix of both anchors. We observe that these countries tend to adopt mixed anchor policies. We solve a state space model to explain the determinants of and the strategy behind this policy. We find that the mixed targeting policy is a two-step strategy: First, monetary authorities choose the degree of nominal exchange rate flexibility according to the velocity of money, trade openness, foreign debt, degree of exchange rate pass-through and exchange rate target zone. Second, authorities seek to stabilize the real exchange rate depending on the degree of competition in the domestic goods market and the degree of foreign exchange intervention. We conclude with regime-switching estimations to provide empirical evidence of how these economic fundamentals influence exchange rate policy in Sub-Saharan Africa.

MOSAIC: Simultaneous Localization and Environment Mapping Using mmWave Without A-Priori Knowledge

Simultaneous localization and environment mapping (SLAM) is the core to robotic mapping and navigation as it constructs simultaneously the unknown environment and localizes the agent within. However, in millimeter wave (mmWave) research, SLAM is still at its infancy. This paper consists a first of its kind in mapping an indoor environment based on the RSS, Time-Difference-of-Arrival, and Angle-of-Arrival measurements. We introduce MOSAIC as a new approach for SLAM in indoor environment by exploiting the map-based channel model. More precisely, we perform localization and environment inference through obstacle detection and dimensioning. The concept of virtual anchor nodes (VANs), known in literature as the mirrors of the real anchors with respect to the obstacles in the environment, is explored. Then, based on these VANs, the obstacles positions and dimensions are estimated by detecting the zone of paths obstruction, points of reflection, and obstacle vertices. Then, extended Kalman filter is adapted to the studied environment to improve the estimation of the points of reflection hence the mapping accuracy. Cramer–Rao lower bounds are also derived to find the optimal number of anchor nodes. Simulation results have shown high localization accuracy and obstacle detection using mmWave technology.

Is the wage rate the real anchor of the inflation targeting monetary policy framework?

Numerous central banks (cbs) focus on controlling the nominal interest rate (i) to sway the price level and meet the inflation target (πo) nowadays (Taylor, 1993; Bernanke et al., 1999; Woodford, 2003). The i is taken to be the anchor for a low and stable rate of inflation in an open economy model. Yet, some analysts, orthodox and heterodox alike, have challenged this belief arguing that cbs turn to the exchange rate (e) channel and adopt it as a second policy tool with the aim of meeting πo (Svensson, 1999; Hüfner, 2004). The purpose of this paper is to show that the veritable anchor of inflation is neither i nor e, but the wage rate and the unit labour costs (ulc). We conduct econometric analyses based on data from a set of inflation targeting countries. The main empirical findings support our hypothesis regarding the higher importance of wages and the ulcvis-à-vis i and e in the determination of the cpi.

An Anchor-Based Pedestrian Navigation Approach Using Only Inertial Sensors.

In inertial-based pedestrian navigation, anchors can effectively compensate the positioning errors originating from deviations of Inertial Measurement Units (IMUs), by putting constraints on pedestrians’ motions. However, these anchors often need to be deployed beforehand, which can greatly increase system complexity, rendering it unsuitable for emergency response missions. In this paper, we propose an anchor-based pedestrian navigation approach without any additional sensors. The anchors are defined as the intersection points of perpendicular corridors and are considered characteristics of building structures. In contrast to these real anchors, virtual anchors are extracted from the pedestrian’s trajectory and are considered as observations of real anchors, which can accordingly be regarded as inferred building structure characteristics. Then a Rao-Blackwellized particle filter (RBPF) is used to solve the joint estimation of positions (trajectory) and maps (anchors) problem. Compared with other building structure-based methods, our method has two advantages. The assumption on building structure is minimum and valid in most cases. Even if the assumption does not stand, the method will not lead to positioning failure. Several real-scenario experiments are conducted to validate the effectiveness and robustness of the proposed method.

Influence Analysis of Different Prestress Stretching Order to Rectangle Aqueduct

Large finite element software is used to analyze Shuangji River rectangle aqueduct in the South-to-North Water Transfer Project. The stress and displacement of the whole structure are obtained under different stretching order of prestress during the aqueduct construction period. Calculation results show that, from the point of stress, the better prestress stretching order is stretching longitudinal first, then the transverse and finally vertical; from the point of displacement, drawing order variation has little influence on displacements in the stretching process; it is a relatively good simulation method to add a steel plate to the area where the prestressed strands are acted on. In this way, the real anchor state can be simulated, and the local stress concentration can be reduced.

Functional Analysis of the Transmembrane Anchor Region of Bovine Herpesvirus 1 Glycoprotein gB

In herpesviruses, homologues of glycoprotein B (gB) are essential membrane proteins which are involved in fusion. However, there is no clear evidence regarding the location of the fusogenic domain on gB. By using bovine herpesvirus 1 (BHV-1) as a model, we studied the relationship between the structure and the fusogenic activity of gB. This was achieved by expressing genes of different gB derivatives containing specific truncations at the end of segments 2 or 3 of the transmembrane region in Madin–Darby bovine kidney cells under the control of the bovine heat-shock protein hsp70A gene promoter. All expressed gB products were structurally similar to authentic gB. One truncated form of gB, gBt, which contains residues 1–763, was efficiently secreted. However, gBtM (residues 1–807), which includes the first two segments at the carboxyl terminus, showed unstable retention on the cell surface, whereas gBtMA (residues 1–829), which contains all three membrane-spanning segments, was mostly intracellularly retained with some unstable surface anchorage. Another truncated gB, gBtDAF, which has gB residues 1–763 (gBt) and a human decay-accelerating factor (DAF) carboxyl tail, was also expressed. The DAF fragment provided a signal for the addition of a glycosyl phosphatidylinositol-based membrane anchor, which could target the gBt chimeric protein on the cell membrane. Immunofluorescence staining and pulse–chase kinetic studies support the theory that gBtM, gBtMA, and gBtDAF are retained on nuclear and cellular membranes via different segments of the transmembrane region or the DAF fragment, respectively. For the cells expressing gBt or gBtM, no cell fusion was observed, whereas cells expressing gBtMA clearly showed fusion. However, in gBtDAF cells, the overexpression and cellular accumulation of recombinant gB products did not cause fusion either, which supports our contention that the fusion phenomenon in gBtMA cells is caused by the fusogenic activity of the expressed gBtMA. With the help of sequence analysis, our results indicate that segment 2 of the transmembrane anchor region might be a fusogenic domain, whereas the real anchor is segment 3.

Rabbit intestinal aminopeptidase N. Purification and molecular properties

The detergent and protease forms of rabbit intestinal aminopeptidase N were purified for chemical investigations and future specific immunological labeling of the enzyme in situ. The purification of the detergent form required a special technique called ‘reverse immunoabsorbant chromatography’. The specific activity of the detergent form finally obtained was identical to that of the protease form. A significant charge micro heterogeneity persisted in the most purified preparations, due probably to a certain level of variability in the sugar moiety. The major proteolytic cleavage which occurred at the hydrophilichydrophobic junction of the detergent form during its conversion into the protease form was well defined. But additional splittings probably in the C-terminal region of the molecules led to several protease forms differing by their size. The molecular weight assigned to the peptide liberated during the above conversion was overestimated due to preferential detergent binding to hydrophobic structures. The correct value, estimated by a new isotopic dilution method, was 3800 (36—38 residues) for the peptide originating from the rabbit enzyme. The real anchor plunging into the membrane cote is possibly still shorter. Comparative N-terminal residue determinations in the detergent form, the protease form and the peptide definitely confirrned that the enzyme is anchored to the bursh border membrane by its N-terminal region.