Loop Theory Research Articles

Transformative learning with ChatGPT: analyzing adoption trends and implications for business management students in India

PurposeThe intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.Design/methodology/approachWhile evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.FindingsHabit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.Social implicationsThere is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.Originality/valueWith the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

Oceanic Pollution and Its Influence on Global Climate Variability in India

Purpose: The aim of the study was to analyze oceanic pollution and its influence on global climate variability. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Oceanic pollution, including plastics, oil spills, heavy metals, and chemical contaminants, significantly impacts global climate variability. These pollutants harm marine ecosystems, disrupt food webs, and contribute to climate change. Plastic debris poses a severe threat to marine life, while oil spills devastate coastal environments. Heavy metals and chemical contaminants bio accumulate in marine organisms, posing risks to human health and altering biogeochemical processes essential for climate regulation. Unique Contribution to Theory, Practice and Policy: Ocean-atmosphere interaction theory, pollutants as climate forcers theory & feedback loop theory of oceanic pollution may be used to anchor future studies on oceanic pollution and its influence on global climate variability. Implement practical measures to reduce oceanic pollution, including stricter regulations on waste disposal, improved waste management infrastructure, and the promotion of sustainable consumption practices. Foster collaboration among nations to address oceanic pollution on a global scale.

Importance of γ′ shearing in low‐cycle fatigue of a wrought superalloy

AbstractThe present study deals with the fatigue behavior of a wrought nickel‐based superalloy René 41. Uniaxial, fully reversed low‐cycle fatigue tests were conducted at room and elevated (800°C) temperatures under total strain control. Cyclic response was analyzed using the statistical theory of the hysteresis loop, and scanning and transmission electron microscopies were employed to study relevant damage mechanisms. At room temperature, cyclic deformation was found to localize to slip bands since the first cycle, and most slip bands were formed very early in the fatigue life. Hence, shearing of the strengthening phase, coherent γ′ precipitates, was found to be significant only in the first few cycles. At 800°C, fatigue life was affected by an environmental attack resulting in a surface oxide layer. Cyclic deformation was less localized; nevertheless, cyclic slip localization in persistent slip bands and resulting γ′ shearing contributed to cyclic softening throughout the fatigue life.

Further discussion on the origins of horse stirrups

Abstract This study re-examines the origins of stirrups and related issues by reassessing two prevailing theories: the “leather toe loop theory” and the “toe stirrup theory.” Through analysis of original archaeological material from the Scythian, Indian, and the Yunnan Dian cultures, along with new insights from fieldwork and examination of a variety of horse tack, this study points out that both outdated theories misinterpret the original material and present unreliable arguments. Consequently, it is unconvincing to claim that stirrups originated from either leather toe loops or toe stirrups. The improvement of saddle structure should not be ignored in an exploration of the origin of stirrups. The solid-tread saddle, which first appeared during the Wei and Jin periods, not only stimulated the invention of the stirrup but also provided necessary structural support for its use.

Modeling of a Broadband Microwave Composite Thin Film Absorber.

Composite thin film absorbers show superior performance and have a wide range of applications. Obtaining a broadband composite thin film absorber is a challenge. In this work, we proposed a modeling of a broadband microwave composite thin film absorber based on the impedance matching theory and equivalent circuit model of the square loop. The unit cell of the absorber was composed of metal square loops with high magnetic conductivity deposited on the polyethylene substrate, and an FR-4 (epoxy glass cloth) substrate was the spacer substrate layer. The simulation results show that the absorptivity of the absorber reached more than 90% in the frequency range of 8.7-18 GHz for TE and TM waves under normal incidence. The thickness of the designed absorber was 2.05 mm (0.059 λmax, λmax corresponds to the maximum absorption wavelength). The simulation results show that the energy distribution in the proposed absorber was mainly localized in the top metal FSS layer due to the ohmic loss of metal, and the dielectric loss played a small role in the absorption of the absorber. Our work provides a design approach to improve the efficiency of optoelectronic devices and thermal detectors and has application prospects in radar and aircraft stealth applications.

Theory of low loss minor loops in soft magnetic composites

A theory of low loss, unbiased minor loops in an isothermal macroscopic composite of soft magnetic particles is developed. The theory predicts an effective macroscopic shape factor for the composite, from the average of the inverse shape factors of the particles. The low loss and composite nature of the material implies the hysteresis loops are self-similar and conjugate. Self-similarity assumes that B scales with Bm, the maximum value of B on a minor loop; while H scales as Hm, the maximum value of H on the minor loop. Conjugacy assumes that unbiased minor loops obey Bm±(−H)=−Bm∓(H), where Bm± are minor loops for the composite. The resulting theory depends on two non-dimensional numbers, α and β, with α being a small number (0<α<1) determining magnetic energy loss for a minor loop, while β is approximately unity, and determines the skewness of the minor loops. This theory is tested against different volume fractions of magnetic ferrite powder composite, which support the concept of self-similarity in the low loss regime, holding when H<1000 A/m. Estimates for α are available, if the composite permeability μΔ is known. Estimates for μΔ depend on the volume fraction C of the magnetic material, together with the macroscopic shape factor N.

An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks

An efficient approach of graph isomorphism identification using loop theory and hopfield neural networks

Physical Explanation of Wave-Particle Duality

We propose a Physical explanation of duality by considering two new concepts, namely that every elementary Particle is made up of a more or less complex stationary wave and that Empty Space is a granular medium comparable to a fluid quantum. The corpuscle can then be considered as a vortex of this medium, which implies a relationship of balance between the two entities, the wave is then the reaction of the medium to the presence of the vortex, or vice versa. This interpretation is compatible with quantum and relativistic theories and is in accordance with the results of loop theory with regard to Space.

Three Concepts of Nilpotence in Loops

We introduce the abstract concept of supernilpotence in loop theory, and relate it to existing concepts, namely, central nilpotence and nilpotence of the multiplication group. We prove that the class of supernilpotence is greater or equal than the class of nilpotence of the multiplication group, and combining existing results, we show that a finite loop is supernilpotent if and only if its multiplication group is nilpotent. We also provide a new exposition of a classical result and crucial ingredient, that loops with a nilpotent multiplication group are centrally nilpotent and admit a prime decomposition.

Local roots, global vines: Human rights museums in western Japan as expressions of identity

AbstractRecently human rights movements among Japan's Buraku people have become increasingly globalized, situating the Buraku struggle among those of other caste‐based minorities around the world. Scholars have theorized that this globalization manifests in a global–local feedback loop in which decisions made by global and local actors inform one another. In this study, I utilize field research and qualitative content analysis of brochures at three Buraku human rights museums in western Japan to investigate this global reorientation. I show that two museums correspond to global–local feedback loop theory and I further identify how local nuances affect the disparate strategies the museums employ to engage with this new globalized Buraku identity. The third museum, however, serves as a counterexample by electing to keep its exhibits locally focused, reflecting its community‐driven mission. I argue that these museums function as interlocutors of Buraku identity at both the local and global levels.

Weak-light phase locking aided by frequency division phase meter for intersatellite laser interferometry

Weak light phase locking is an important part of intersatellite laser interference ranging. Phase-locked loop (PLL) is used to track the phase of heterodyne interference optical signal. Owing to shot noise, laser frequency and other kinds of noise, there is a phase difference between the internal PLL local oscillator and the heterodyne signal, while the phase detection range of the PLL is only one period. If the phase difference exceeds the phase detection range at a certain time, the local oscillator may enter the wrong operating point under feedback regulation, resulting in cycle clip, which leads to subsequent phase reconstruction errors. In this paper, a cycle clip diagnosis method based on the detection background of gravitational waves is proposed. Based on the original PLL, an auxiliary frequency phase divider with larger phase detection range is introduced, which can provide a basis for judging whether the cycle clip occurs in the PLL. In this paper, a digital weak-light PLL model is established to evaluate the influence of various noise. The theoretical spectral density of the error phase is given according to the two main kinds of noise (laser phase noise and particle noise). Considering the limited detection range of PLL, large error phase may lead to cycle clip, making the PLL work at the wrong locking point. A phase meter with smaller frequency division phase range can be used to solve this problem. First, the input heterodyne sine signal is converted into in-phase square wave N frequency division. Then the phase difference is determined by comparing the output signal with output signal reduced by 1/&lt;i&gt;N&lt;/i&gt; through the time-to-degital converter (TDC) Based on the theory of PLL and noise, the theoretical model of frequency division phase meter is established. The simulation results show that the frequency division phase meter can realize a wide range of phase detection under the current theoretical framework and has the ability to judge the cycle clip of weak light phase locking. It can be used in the weak- light phase locking task represented by LISA.

All Order Resummed Leading and Next-to-Leading Soft Modes of Dense QCD Pressure.

The cold and dense QCD equation of state at high baryon chemical potential μ_{B} involves at order α_{s}^{2} an all-loop summation of the soft mode m_{E}∼α_{s}^{1/2}μ_{B} contributions. Recently, the complete soft contributions at order α_{s}^{3} were calculated using the hard thermal loop formalism. By identifying massive renormalization group properties of the hard thermal loop theory, we resum to all orders α_{s}^{p}, p≥3 the leading and next-to-leading logarithmic soft contributions. We obtain compact analytical expressions that show visible deviations from the state-of-the art results, and noticeably reduce residual scale dependence. Our results should help to reduce uncertainties in extending the equation of state in the intermediate μ_{B} regime, relevant in particular for the phenomenology of neutron stars.

This is the moment for probabilistic loops

We present a novel static analysis technique to derive higher moments for program variables for a large class of probabilistic loops with potentially uncountable state spaces. Our approach is fully automatic, meaning it does not rely on externally provided invariants or templates. We employ algebraic techniques based on linear recurrences and introduce program transformations to simplify probabilistic programs while preserving their statistical properties. We develop power reduction techniques to further simplify the polynomial arithmetic of probabilistic programs and define the theory of moment-computable probabilistic loops for which higher moments can precisely be computed. Our work has applications towards recovering probability distributions of random variables and computing tail probabilities. The empirical evaluation of our results demonstrates the applicability of our work on many challenging examples.

Rethinking reflective practice: John Boyd’s OODA loop as an alternative to Kolb

The world is changing and business schools are struggling to keep up. Theories of reflective practice developed by the likes of Schon (1983), Gibbs (1988), Driscoll (1994, 2007) and Kolb (1984, 2015) are outdated and unfit for current purposes. Problems include the chronology of events, the orientation of the observer, the impact of external inputs, and the fact that neither education nor the workplace follow a structured, linear path.In response to these challenges, we propose a new ‘solution’: John Boyd's OODA loop. We argue that OODA loops offer the chance to reshape reflective practice and work-based learning for a world in which individuals must cope with ‘an unfolding evolving reality that is uncertain, ever changing and unpredictable’ (Boyd, 1995, slide 1). By embracing the philosophy of John Boyd and his OODA loop theory, business schools can develop greater resilience and employability in graduates, preparing them to embrace change while also embedding the concept of life-long learning to make them better equipped to face the uncertainty that the modern world brings.

Multi-objective optimization of operation loop recommendation for kill web

In order to improve our military's level of intelligent accusation decision-making in future intelligent joint warfare, this paper studies operation loop recommendation methods for kill web based on the fundamental combat form of the future, i.e., “web-based kill,” and the operation loop theory. Firstly, we pioneer the operation loop recommendation problem with operation ring quality as the objective and closed-loop time as the constraint, and construct the corresponding planning model. Secondly, considering the case where there are multiple decision objectives for the combat ring recommendation problem, we propose for the first time a multi-objective optimization algorithm, the multi-objective ant colony evolutionary algorithm based on decomposition (MOACEA/D), which integrates the multi-objective evolutionary algorithm based on decomposition (MOEA/D) with the ant colony algorithm. The MOACEA/D can converge the optimal solutions of multiple single objectives non-dominated solution set for the multi-objective problem. Finally, compared with other classical multi-objective optimization algorithms, the MOACEA/D is superior to other algorithms superior in terms of the hyper volume (HV), which verifies the effectiveness of the method and greatly improves the quality and efficiency of commanders' decision-making.

Holomorphy theory of extra loops

Holomorphy theory of extra loops

A novel cardiovascular systems model to quantify drugs effects on the inter-relationship between contractility and other hemodynamic variables.

The use of systems‐based pharmacological modeling approaches to characterize mode‐of‐action and concentration‐effect relationships for drugs on specific hemodynamic variables has been demonstrated. Here, we (i) expand a previously developed hemodynamic system model through integration of cardiac output (CO) with contractility (CTR) using pressure‐volume loop theory, and (ii) evaluate the contribution of CO data for identification of system‐specific parameters, using atenolol as proof‐of‐concept drug. Previously collected experimental data was used to develop the systems model, and included measurements for heart rate (HR), CO, mean arterial pressure (MAP), and CTR after administration of atenolol (0.3–30 mg/kg) from three in vivo telemetry studies in conscious Beagle dogs. The developed cardiovascular (CVS)‐contractility systems model adequately described the effect of atenolol on HR, CO, dP/dtmax, and MAP dynamics and allowed identification of both system‐ and drug‐specific parameters with good precision. Model parameters were structurally identifiable, and the true mode of action can be identified properly. Omission of CO data did not lead to a significant change in parameter estimates compared to a model that included CO data. The newly developed CVS‐contractility systems model characterizes short‐term drug effects on CTR, CO, and other hemodynamic variables in an integrated and quantitative manner. When the baseline value of total peripheral resistance is predefined, CO data was not required to identify drug‐ and system‐specific parameters. Confirmation of the consistency of system‐specific parameters via inclusion of data for additional drugs and species is warranted. Ultimately, the developed model has the potential to be of relevance to support translational CVS safety studies.

Modeling method of combat mission based on OODA loop

Today, modern warfare has shifted from weapon-centric operations to network-centric system operations, which has led to a linear increase in the complexity of combat missions. When a commander faces a high-level mission, how to model the entire combat mission is a critical step, and it is also the basis for the generation of subsequent combat plans and combat command and control. Aiming at this problem, this paper proposes a task modeling method based on the OODA loop. This method first decomposes the mission task, and defines four meta tasks based on the OODA loop theory, and finally analyzes the meta tasks from the perspective of time and information. The mission relationship is defined, which can realize the modeling and formal description of the entire combat mission process, and provide support for the follow-up combat links.

A modified cut-set method for mechanical subassembly identification

PurposeThe purpose of this paper is to perform a comparative assessment on working of the existed subassembly identification (SI) methods, which are widely practiced during the product development stage and to propose an improved method for solving the SI problem in assembly sequence planning (ASP).Design/methodology/approachThe cut-set method is found as a suitable method among various knowledge-based methods such as the theory of loops, theory of connectors and theory of clusters for the workability enhancement to meet the current requirements. Necessary product information is represented in the matrix format by replacing the traditional AND/OR graphs and the advanced predicates are included in the evaluation criteria.FindingsThe prominent methods in SI are followed a few of the predicates to avoid complexity in solution generation. The predicate consideration is found as the most influencing factor in eliminating the infeasible part combinations at SI. However, the quality of identified subassemblies without advanced predicates is not influencing the solution generation phase but practical applicability is affecting adversely.Originality/valueThe capability of performing SI by the cut-set method is improved to deal with the complex assembly configurations. The improved method is tested by applying on different assembly configurations and the effectiveness is compared with other existent methods of ASP along with the conventional method.

The imaginary part of the heavy-quark potential from real-time Yang-Mills dynamics

We extract the imaginary part of the heavy-quark potential using classical-statistical simulations of real-time Yang-Mills dynamics in classical thermal equilibrium. The r-dependence of the imaginary part of the potential is extracted by measuring the temporal decay of Wilson loops of spatial length r. We compare our results to continuum expressions obtained using hard thermal loop theory and to semi-analytic lattice perturbation theory calculations using the hard classical loop formalism. We find that, when plotted as a function of mDr, where mD is the hard classical loop Debye mass, the imaginary part of the heavy-quark potential shows little sensitivity to the lattice spacing at small mDr ≲ 1 and agrees well with the semi-analytic hard classical loop result. For large quark-antiquark separations, we quantify the magnitude of the non-perturbative long-range corrections to the imaginary part of the heavy-quark potential. We present our results for a wide range of temperatures, lattice spacings, and lattice volumes. This work sets the stage for extracting the imaginary part of the heavy-quark potential in an expanding non-equilibrium Yang Mills plasma.