Identification Theory Research Articles

Usability Identification Framework and High-Throughput Screening of Two-Dimensional Materials in Lithium Ion Batteries.

Two-dimensional materials (2D materials) show great advantages in high-performance lithium ion battery materials due to the inherent ion channels and rich ion sites. Unfortunately, rare 2D materials own all desired attributes to meet complex scenarios. Further enriching the 2D materials database for lithium ion battery use is of high interest. In this work, we extend the list of candidates for lithium ion batteries based on a 2D material identification theory. More importantly, a usability identification framework leveraging the competitive mechanism between the adsorbability and reversibility of ions on a 2D material is proposed to assist the deeper screening of practicable 2D materials. As a result, 215 2D materials including 158 anodes, 21 cathodes, and 36 solid electrolytes are predicted to be practicable for lithium ion battery use. The comparison between the identified 2D materials with the known ones verifies the reliability of our strategy. This work significantly enriches the choices of 2D materials to satisfy the various battery demands and provides a general methodology to assess the usability of unexploited 2D materials for lithium ion batteries.

Locomotion Identification Method of one-DOF Six-Bar for Jumping Robot

Abstract Exploring the locomotion of creatures is a challenging task in bionic robots, and the existing iterative design methods are mainly based on one or two characteristics to optimize robots. However, it is hard to obtain other features. Here, we introduced the thinking of system identification theory to the bionic robots, averting the exploration of the dynamics and reducing the difficulty of design greatly. A one-DOF six-bar mechanism (Watt I) was designated as the model to be identified, and it was divided into two parts, i.e. a one-DOF four-bar linkage and a three-DOF series arm. Then we formed constraints and a loss function. The parameters of the model were identified based on the kinematic data of a marmoset jumping. As a result, we obtained the desired model. Then, a prototype derived from the model was fabricated, and the experiments verified the effectiveness of the method. Our method also can be applied to other motion simulation scenarios.

Enhancing Listening Comprehension Teaching Using Projective Identification

Projective identification is a psychoanalysis concept which is used within clinical practice. Also, there are plenty of applications addressing about it on extra-clinical operations. This study adopts the theory of projective identification and applies it to the classroom in order to enhance the efficiency of in-class learning in the course of ‘English oral and listening comprehension. ’Surveys on students are collected and data are analyzed. Some insightful results and feedbacks are laid out accordingly.

(De)Signing Authority: The Indexical Dimension of Typography in Academic Communication

Abstract Graphics in scientific communication are not just a means to elegantly convey, condense, or systematize “facts.” As any form of communication, they are bound to, or enregistered in, the discursive context of previous uses. Graphics, thus, do not only visualize information (in an iconic or symbolic way), they also contextualize (i.e., index) the practices, communities, and genres of particular fields and thereby serve as effective emblems of scholarly identity. This article elaborates on the indexical or emblematic dimension of academic graphic design. Drawing on sociolinguistic theory of social positioning and identification, it will be argued how graphic design is a disciplinary practice in the double sense of the word.

A simple and efficient method for isomorphism identification of planar kinematic chains

Isomorphism identification plays an important role in structural design and innovative design. Based on the adjacency matrix and loop theory, a new method is proposed in this paper to identify the isomorphic kinematic chains. It enriches the application of loop-based theory for isomorphism identification. In the kinematic chain, links and joints are connected alternatively and every link corresponds to a fixed link degree. Due to the inherent characteristics, the labeled sequence of links can be random, which does not affect the result of isomorphism identification. By the programming software MATLAB, some examples with 6-, 8-, 10-, 11-, 12-link kinematic chains, and 15-vertex topological graphs are presented. Results show that the proposed method applies to topology graphs and kinematic chains with one or multiple joints. Compared with other methods, the proposed method is confirmed correctly. And there is no counterexample. It lays a solid foundation for structural synthesis in the future.

Ahmaud Arbery: murder as the outcome of an assemblage’s enactment

ABSTRACT On February 23rd, 2020, Ahmaud Arbery, a Black man out for a jog in Georgia, was murdered by two white men who, acting as vigilantes, assumed Arbery was responsible for recent burglaries. While Blacks being murdered by whites in America is nothing new, new theories of identification – specifically, assemblage theory and identitarian articulations – offer us tools to better understand how such events take place. Specifically, we argue that racialization occurs not just on the body, but through a complex process resulting in ‘race’ immanently emerging as the outcome of an assemblage. In this article, we show, first, that Arbery, through no fault of his own, entered into a ‘Neighborhood Watch Assemblage’ that already anticipated the body of a Black man that would fulfill an overdetermined role as ‘criminal’ and that this identitarian articulation emerges through the arrangement of several identifications, bodies, technologies, objects, discourses, affects, and emotions that, together, actualize ‘races’ on bodies. Tragically, in this case, death became a capacity of the assemblage. In contrast to the death of an innocent man in Georgia, we secondly analyze what occurred in Kenosha, Wisconsin, where a ‘Law and Order’ assemblage’s outcome resulted in a White identitarian articulation not being, initially, interpellated as ‘criminal’ even though the person had committed murder. Overall, we show that assemblage theory and the concept of identitarian articulations help us better understand such occurrences. Such analyses can shed a different light on episodes of systemic racism and can, eventually, help in overcoming it.

Ways and Challenges of Product Labelling for the Visually Impaired

The conceptualizing process plays an important role in assisting designers’ creativity in form and styling development. It contributes to representing the cultural elements before product transformation, which has a limited investigation. This research aims to identify the metaphorical form element that conveys the brain impaired as factors of selection and defining form development of the humanoid robot embodiment. Design Protocol Analysis obtains to into design linguistic interpretations and synthesizing design based on perceptual product experience. Findings have outlined the theory of metaphorical form element selection and identification that could represent brain impaired product in assisting humanoid robotic acceptance among autism. Keywords: braille; visually impaired; tactile; labelling tool. eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6iSI5.2933

Devising a method for identifying the model of multi-criteria expert estimation of alternatives

An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that has resulted in the possibility of obtaining a uniform stable solution of the problem. It was shown that in this case, the problem of parametric identification of the estimation model can be reduced to a standard linear programming problem. The scalar multicriterial estimates of alternatives obtained on the basis of the synthesized mathematical model make it possible to compare them among themselves according to the degree of efficiency and, thus, choose "the best" or rank them. A significant advantage of the proposed approach is the ability to use only non-numerical information about the decisions already made by experts to solve the problem of identifying the model parameters. This enables partial reduction of the degree of expert’s subjective influence on the outcome of decision-making and reduces the cost of the expert estimation process. A method of verification of the estimation model based on the principles of cross-validation has been developed. The results of computer modeling were presented. They confirmed the effectiveness of using the proposed method of parametric model identification to solve problems related to automation of the process of intelligent decision making.

Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle

AbstractThis article considers the parameter estimation problems of linear multivariable systems with unknown disturbances. For the parameter matrices in the multivariable systems, the model decomposition technique is used to reduce the computational complexity by decomposing the multivariable system into several subsystems with only the parameter vectors. By means of the negative gradient search, a decomposition‐based maximum likelihood recursive extended stochastic gradient algorithm is derived. In order to improve the parameter estimation accuracy, by introducing the multi‐innovation identification theory, a decomposition‐based maximum likelihood multi‐innovation extended stochastic gradient algorithm is proposed. The simulation results illustrate the effectiveness of the proposed algorithms.

Effects of a “spin doctor” in crisis communication: a serial mediation model of identification and attitudes impacting behavioral intentions

ABSTRACT This paper combines theories of identification and image repair to explain why an organization in crisis should avoid designing messages that engage in “spin.” An experiment is reported (N = 262 nationwide U.S. Qualtrics Panel) in which a company spokesperson replies to questions from a journalist in a news interview. Results indicate that people (a) identify more with the spokesperson, and (b) have more favorable attitudes toward the business, when the spokesperson directly answers rather than spins. Serial multiple mediator modeling reveals the theoretical process of consumer behavioral intentions bolstered by an organization “coming clean” instead of spinning in a scandal.

An efficient recursive identification algorithm for multilinear systems based on tensor decomposition

AbstractThere are many important fields involving the multilinear system identification. A great number of parameters to be identified is an important challenge, leading to the need for tensorial decomposition and modeling of such systems. This article is about the parameter estimation of the higher‐order multilinear systems with non‐Gaussian noises and to explore the role of tensor algebra in the multilinear model identification. A high‐dimension system identification problem is reformulated in terms of low‐dimension problems by using the tensorial decomposition technique. Further, applying the multi‐innovation identification theory, the recursive algorithm combining with the logarithmic p‐norms is investigated for multilinear systems with non‐Gaussian noises of low computational complexity. Finally, some simulation results illustrate the effectiveness of the proposed recursive identification method.

Physiological Synchrony and Newly-formed Groups’ Outcomes: The Moderating Effects of Leader Justice

Extant evidence supports the relationship between group social alignment processes (e.g., synchrony) and group performance. Nevertheless, to date, most studies examined such processes at late stages of group development, assuming that members must be well-acquainted to form social alignment. In today's organizations, however, individuals often work on short-term project teams, in which individuals are expected to be socially-aligned as soon as they join the team. Consistent with social identification theory, we argue here that group synchrony may be evident, yet covert, early in the life of a group even before it manifests in overt behavior. Furthermore, because members are unfamiliar with each other at this early stage, we expect them to seek guidance from external sources, in particular from leaders who treat them fairly. Given that leaders signal and align individuals to endorse collective goals, we expect their intervention to channel group synchrony toward effective group-functioning. To capture deep-seated synchrony, we assessed members' electrodermal activity (EDA), also known as galvanic skin response. Fifty 3-person groups (N = 150) were engaged in a problem-solving task while their EDA was monitored. Half of the groups were treated fairly by the experimenter, while the other half were treated unfairly. Results indicated that EDA physiological synchrony was positively related to improved performance, only when the leader treated group members fairly. Our findings provide evidence for the importance of applying neuroscience and physiological measures to address key research questions in management. We discuss other implications of our approach to both theory and practice.

Heterogeneous Gender Effects of a Firm’s Environment Social Governance Efforts on Employee Turnover

We study whether (and how) the turnover of female and male employees varies with public perception of their firms’ environmental, social, and governance (ESG) efforts, as measured by the ESG sentiment of news articles. Leveraging organizational identification theory, we expect that employees derive increasing self-esteem from having an employer with a more positive, public ESG reputation. Such employees are less likely to leave their firms. Furthermore, we expect that retention rates among female employees will be higher than male employees because women derive more benefit from prosocial behavior. We support our contentions using regression analyses on a firm–month panel of 1,822 publicly listed US firms from 2008 to 2018. Specifically, our regression analyses reveal that a better public ESG reputation is associated with lower employee turnover, and this effect is amplified among female employees. We find that females respond to the perceptions of both internal-facing ESG (i.e., efforts that primarily target employees) and external-facing ESG (i.e., efforts that primarily target those outside the firm). However, we find that males are affected only by perceptions of increased internal-facing ESG. We also find that ESG reputation affects both men and women in states that have a greater proportion of Democratic voters. This underscores the prosocial aspect of our predictions. Our evidence highlights the indirect and heterogeneous effect of corporate ESG efforts on employee turnover, and the turnover of female employees in particular.

An Analysis of Identification Theory in Political Fable—A Case Study of Animal Farm

Under the guidance of Burke’s identification theory, this paper analyzes the speech of the old Major in the first chapter of Animal Farm from a rhetorical perspective and finds that the old Major persuades his audience, i.e., the other animals, to gain the identification from two aspects: identification by content and identification by form, thus causing the successful uprising of the animals that follows in the storyline. This study explores the embodiment of rhetoric in political fables and analyzes the rationale embedded in the fable from a new perspective, that of rhetoric.

Multi‐innovation Newton recursive methods for solving the support vector machine regression problems

AbstractThe support vector machine has been widely used in binary classification applications because of the simplicity of its implementation. This article proposes an online identification method based on the support vector machine in the field of parameter identification. By substituting the constraint item into the original criterion function to form a new criterion function about the weight vector and the bias item, and then on the basis of the recursive identification methods, the newly established criterion function is minimized by using the Newton search to derive the Newton recursive support vector machine algorithm. Additionally, in order to improve the performance of the Newton recursive support vector machine algorithm, the multi‐innovation identification theory is applied to optimize the algorithm, and a multi‐innovation Newton recursive support vector machine algorithm is derived. In addition, the convergence and the calculation amount of the proposed algorithms are carefully analyzed in this article. Finally, a numerical simulation example is given to compare the Newton recursive algorithm and the corresponding multi‐innovation recursive algorithm. The results show that the algorithms and optimization strategy studied in this article are effective.

They can’t treat you well under abusive supervision: Investigating the impact of job satisfaction and extrinsic motivation on healthcare employees

Building on the emerging research that has demonstrated the adverse effects of abusive supervision on employee performance, this research draws on the theories of prosocial motivation and action identification. We develop and empirically test a mediation model to examine the indirect impact of abusive supervision on employee performance. Data were obtained from 430 Chinese healthcare employees to validate and test our proposed hypotheses and generalize the findings from Western settings in the Eastern context. The findings indicate that abusive supervision is negatively related to employee performance. Job satisfaction and extrinsic motivation mediated this relationship. The study has some important theoretical and practical implications, and we have also discussed some future directions.

Managing the hearts of boundary spanners: CEO organizational identification and international joint venture performance

Integrating boundary spanning and organizational identification theories, we posit that a boundary spanner’s organizational identification (i.e., the sense of oneness with an organization) is an important factor shaping inter-organizational relationships. We examined CEOs of international joint ventures (IJVs) as the boundary spanners in the Asia Pacific region by sampling 185 China-based IJVs. We found that organizational identification of an IJV’s CEO with a parent firm is positively related to cooperation between the venture and that parent, and this relationship is stronger when the level of goal differences between parents is higher. The cooperation between the foreign (but not local) parent and the IJV is in turn positively related to the IJV’s performance. This study extends extant research by revealing the role of a boundary spanner’s organizational identification in inter-organizational collaboration as well as inter-firm goal differences as a boundary condition for this role.

Anticipated Stigma and Self-Racialization: From Alcohol Flush Reaction to Panethnic Asian Glow

ABSTRACT Although the biomedical processes of the alcohol flush reaction are well understood, no research has investigated social responses to the reaction. Interviews and focus groups with college students show that Asians and Asian Americans are acutely aware that flushing raises the specter of racial stereotyping, as in the colloquial term “Asian glow.” White drinkers are oblivious, however, both to their own flushing and that of others. Most Asian flushers develop positive interpretations of the alcohol flush reaction, internalizing it as an identity marker of a pan-ethnic Asian community. Moreover, many also understood their flushing as a positive “ability” that allows them to better control their drinking than non-flushers. These findings suggest that flushing must also be understood through a sociocultural lens of ethnic identification, with implications for theories of ethnic identification and interventions against alcohol abuse.

A rapid system identification method for measuring explosion heat by the constant temperature method

In order to reduce the risk of measurement failure caused by system failure in the classical constant temperature method for measuring explosion heat, a measurement method was developed for identifying the explosion heat value based on the water temperature rise curve of an inner barrel before failure. Firstly, the heat transfer mechanism of the measurement process was analyzed, and the heat transfer model of the calorimeter was established, and the water temperature rise curve of the inner barrel in each measurement stage was obtained. Then, based on the system identification theory, the identification algorithm of intermediate parameters was proposed, and based on the idea of isolating easily oscillating parameters, a fast system identification algorithm was given to correct the temperature rise and explosion heat. And it is proved that the identification value of explosion heat approximately converges to the classical value. Finally, the test data of 8 explosive samples with explosion heat values ranging from 4 to 9 kJ/g were used to test the algorithm, and the test criterion for judging the convergence time was put forward. The simulation results show that the identification algorithm can effectively isolate the influence of the oscillation parameters and has a strong prediction ability on the temperature change of the water in the inner barrel, and that the identification value of explosion heat can quickly and stably converge to the upper limit of relative error of 3.5% within 40 min (1/3 of the main end stage), and that the test criterion can accurately judge the convergence time of the identified value of explosion heat. This method can also be extended to the adiabatic method for calculating explosion heat.

Dynamic causal brain circuits during working memory and their functional controllability

Control processes associated with working memory play a central role in human cognition, but their underlying dynamic brain circuit mechanisms are poorly understood. Here we use system identification, network science, stability analysis, and control theory to probe functional circuit dynamics during working memory task performance. Our results show that dynamic signaling between distributed brain areas encompassing the salience (SN), fronto-parietal (FPN), and default mode networks can distinguish between working memory load and predict performance. Network analysis of directed causal influences suggests the anterior insula node of the SN and dorsolateral prefrontal cortex node of the FPN are causal outflow and inflow hubs, respectively. Network controllability decreases with working memory load and SN nodes show the highest functional controllability. Our findings reveal dissociable roles of the SN and FPN in systems control and provide novel insights into dynamic circuit mechanisms by which cognitive control circuits operate asymmetrically during cognition.