Compass Model Research Articles

Defect-induced localization of information scrambling in 1D Kitaev model

We discuss one-dimensional(1D) spin compass model or 1D Kitaev model in the presence of local bond defects. Three types of local disorders concerning both bond-nature and bond-strength that occur on kitaev materials have been investigated. Using exact diagonalization, two-point spin-spin structural correlations and four-point Out-of-Time-Order Correlators(OTOC) have been computed for the defective spin chains. The proposed quantities give signatures of these defects in terms of their responses to location and strength of defects. A key observation is that the information scrambling in the OTOC space gets trapped at the defect site giving rise to the phenomena of localization of information scrambling thus making these correlators a suitable diagnostic tool to detect and characterize these defects.

Time-lapse full-waveform permeability inversion: A feasibility study

Time-lapse seismic monitoring necessitates integrated workflows that combine seismic and reservoir modeling to enhance reservoir property estimation. We present a feasibility study of an end-to-end inversion framework that directly inverts for permeability from multiple prestack time-lapse seismic data sets. To assess the method's robustness, we design experiments focusing on its sensitivity to initial models, potential errors in modeling, and crosstalk during multiparameter inversion. Our study leverages the publicly available Compass model to simulate CO2 storage in saline aquifers. This model is derived from well and seismic data from the North Sea in an area that is currently considered for geologic carbon storage.

Exact ground states and phase diagram of the quantum compass model under an in-plane field

Exact ground states and phase diagram of the quantum compass model under an in-plane field

A Conceptual Model of Organizational Compassion in Healthcare

A Conceptual Model of Organizational Compassion in Healthcare

Dynamics of quantum coherence and nonlocality of a two-spin system in the chemical compass.

In this paper a system consisting of two electron spins has been prepared initially in a singlet state using the chemical compass model is considered. It is assumed that each electron spin interacts symmetrically and/or asymmetrically with its respective private nuclear environment in the presence of an external magnetic field. We discussed the effect of the interaction parameters and the external magnetic field on some quantifiers of quantum correlations as entanglement, coherence, Bell inequality, as well as the steerability inequality. It is shown that within a certain range of external magnetic fields, the quantum coherence and entanglement behave similarly. The Bell and the steerable inequalities predicted a similar behavior for symmetric and asymmetric interactions. Moreover, as one increases the external magnetic field, the lower bounds of both inequalities have improved. The usefulness of using the spin state as quantum channel to teleport a two-qubit system has examined where the Bell inequality could be above its classical bounds by controlling the interaction parameters. It is shown that by tuning the coupling parameters the fidelity of the teleported state exceeds the classical bounds, as well as the long-lived stationary fidelity could be achieved during the interaction time.

Peer support provider and recipients' perspectives on compassion in virtual peer support stroke programs: "You can't really be supportive without compassion".

Peer support programs demonstrate numerous benefits, including emotional, instrumental, informational, and affirmational social support. Since the COVID-19 pandemic, many peer support stroke programs in Canada have been delivered virtually. Compassion must be consistently applied to build meaningful interactions, but the shift to virtual services may have changed the quality of interaction and compassion in virtual services. While compassion is recommended in health and social services to improve outcomes, satisfaction, and service quality, compassion in virtual peer support stroke programs remains understudied. We aimed to describe compassionate support in virtual peer support stroke programs from peer support providers' and recipients' perspectives. This qualitative descriptive study was guided by Sinclair & colleagues' model of compassion. Peer support recipients or peer support providers participated in interviews transcribed and analyzed using a hybrid thematic analysis. Sixteen were peer support recipients, six were peer support providers, and two were both peer support providers and recipients. Participants agreed that compassion was essential in these programs. Participants perceived compassion to be a result of the virtues of compassionate facilitators (i.e., genuineness, passion, and empathy), relational space, and communication within the virtual peer support stroke program (e.g., sense of awareness or intuition of compassion, aspects of engaged peer support provision), virtuous response (e.g., knowing the person and actions that made the peer support recipient feel like a priority). Compassion was facilitated by listening and understanding peer support recipients' needs as they relate to stroke (i.e., seeking to understand peer support recipients and their needs), attending to peer support recipients' needs (e.g., timely actions to address their needs), and achieving compassion-related program outcomes (e.g., alleviating challenges and enhancing wellbeing). The absence of these components (e.g., lacking genuineness, passion and empathy) was a barrier to compassion in virtual peer support stroke programs. Study findings describe facilitators and barriers to perceived compassion in virtual peer support stroke programs and provide practical recommendations that can be adapted into programs to improve program quality.

Breaking the Glass Ceiling: Mentoring as Support for African Women’s Academic Career Trajectories

Women in academia face many challenges. Although there have been possibilities for the advancement of women in higher education, gender discrepancies in leadership continue, with women facing structural challenges such as bias, and unequal possibilities for promotion. Balancing a career as a female academic, including parenting and family obligations adds another layer of complication, often resulting in breakdown. Women contribute distinct strengths to academia, expanding intellectual conversation and establishing varied learning environments. Mentorship, sponsorship, and inclusive policies assist in reducing barriers and encourage women to thrive as leaders, resulting in positive change in the academic setting. The article outlines the nuances of women in academia and the challenges and opportunities they face when pursuing leadership positions. It further explores the experiences and views of women in the faculty of Business at a University of Technology (UOT). A mixed methods approach was adopted to enable the researcher to give a female perspective to the academic position, experiences, and challenges within academia. The researcher used her judgment to select the sample based on the purpose of the research and a convenience sample to select best-case scenarios. Finally, the article suggests a participative model of collaboration, nurturance, compassion, and self-care to equip women with the tools they need to create career advancement opportunities and increase personal and professional change.

Developing and Feasibility of Compass Model for Parents in Monitoring Children's Growth

Developing and Feasibility of Compass Model for Parents in Monitoring Children's Growth

Energizing compassion: using music and community focus to stimulate compassion drive and sense of connectedness.

The last 20 years have seen considerable research on the nature and biopsychosocial impacts of compassion training on self and others. This training is usually focused on calming and slowing the mind and body and on individual imagery practices and mantras. This study explored the effects of three variations: 1. The impact of using energizing music to generate activation and "drive" for compassion; 2. To focus on imagining "breathing in and breathing out a white light or mist of compassion" to bring compassion to the world; and 3. While listening to energizing music, participants were guided to imagining connecting to the compassion (Sangha) community, imagining oneself as linking with others as part of communities seeking to help the world. From approximately 1,600 members of the Compassionate Mind discussion list, participants were invited to take part in a new energizing focused self-practice study. The study involved listening to recorded guidance on the evolutionary model of compassion and the need to address the potentially harmful side of our nature. This was followed by a 4 1/2-min tonglen-informed guided practice of breathing in and breathing out compassion accompanied by energizing music. Forty-three participants completed several self-report scales measuring compassion orientation, wellbeing, social safeness, and positive affect before and following 2 weeks of practice. Participant experiences were recorded from 6 open explorative questions. Self-report measures taken before and following 2 weeks of practice revealed significant increases in self-compassion, compassion to others, openness to compassion from others, activated positive affect, safe positive affect, social safeness, and wellbeing, with the largest effect size relating to compassion for the self (d = -0.76). In addition, qualitative data revealed that the participants had experienced the practice as energizing, inspiring, and felt socially connected and that it had significant impacts on other aspects of their lives. Some participants noted that engaging with suffering also stimulated sadness. This study found that pairing energizing music with breathing practices and specific compassion visualizations, focusing on the desire to bring compassion to the world and be part of a compassionate community, was well-accepted and had a range of significant positive impacts. This study indicates the potential value of exploring energizing in comparison to the more standard soothing and settling practices as ways of stimulating the biopsychosocial processes of compassion.

Sparse graph-regularized dictionary learning for full waveform inversion

Full waveform inversion is a nonlinear fitting technique that requires regularization methods to alleviate ill-posedness. Based on the newly introduced Graph-Laplacian regularization, which offers outstanding manifold learning, we propose a novel regularization method for FWI that can combine the graph Laplacian matrix with a sparse representation in a learning-based dictionaries. Besides employing an adaptive sparsity prior, the graph Laplacian matrix incorporates the nonlocal self-similarity prior into the FWI process, and consequently improve the stability of the inversion process and produce more accurate inversion results. The Alternating Direction Method of Multipliers (ADMM) is applied to solve the problem numerically. A series of experiments are performed on the Marmousi model and the BG Compass model. The experimental results verify the effectiveness of the proposed FWI method in both quantitative analysis and visual perception.

Effectiveness of Perceiving and Opinion of the Compass Model in Monitoring the Toddlers’ Growth

Introduction: In comparison to other countries, Indonesia has higher birth rates. Chronic malnutrition, which results from inadequate dietary intake over a long period of time due to improper feeding practises, causes a condition known as stunting. This research aims to understand the perception and opinion of the compass model through its effectiveness in monitoring toddler growth. Methods: In this research, the qualitative method is used. The qualitative data is collected by conducting interview sessions with informants. Results: The result was obtained from an interview with experts. With all the benefits and ease of using Compass, mothers could be aware of and care for their children’s growth and development. Conclusion: The Compass Model is helpful as a new tool for mothers to monitor the growth of their children because it is easy to use and understand for midwives and mothers, who can read the result of the change.

Low-Carbon and Energy-Saving Path Optimization Scheduling of Material Distribution in Machining Shop Based on Business Compass Model

In order to reduce carbon emission and energy consumption in the process of raw material distribution, the workshop material distribution management model was established based on the business compass model; it can help guide enterprises to manage workshop production. Based on the raw material distribution equipment, a path calculation model considering the carbon emission and energy consumption in the process of raw material distribution was established. The dung beetle optimizer was selected for the optimization calculation. The dung beetle optimizer has the characteristics of fast convergence and high solution accuracy. The material distribution of an engine assembly workshop was taken as an example; the results showed that the optimized scheduling model could effectively optimize the material distribution route and reduce energy consumption and carbon emission in the distribution process on the basis of meeting the distribution demand.

Initial Validation of a Patient-Reported Compassion Measure in a Mandarin-Speaking Long-Term Care Patient Population.

Background and Purpose: Compassion is increasingly considered essential to quality nursing care and is a concept that is strongly embedded across cultures, including Chinese culture. The Patient Compassion Model (PCM) depicts the unique yet overlapping domains of compassion. The Sinclair Compassion Questionnaire (SCQ) was directly developed and validated from this empirical model. In this study, we sought to establish initial validation of a translated SCQ among Mandarin-speaking patients by assessing the transferability of the PCM and the clinical sensibility of the SCQ. Methods: Forward and back-translation of the PCM and SCQ were performed in accordance with World Health Organization guidelines. Qualitative interviews were used to assess the transferability of the PCM with conceptualizations of compassion within a Chinese context. Cognitive interviews were conducted to assess the clarity, readability, wording, questions, and response scales of the Mandarin translation of the SCQ. Qualitative data were analyzed using constant comparative analysis, and cognitive interviews were analyzed using framework analysis. Results: The original categories of the PCM were verified in this Mandarin-speaking patient population. Specifically, participants' understandings of compassion is described as consisting of healthcare provider virtues, emphasizing the importance of a virtuous response that sought to understand the individual and their unique needs, to relationally communicate from a place of shared humanity and to ameliorate suffering. Participants were able to answer, comprehend, and endorse all 15 Mandarin SCQ items, resulting in no modifications to the Mandarin SCQ. Conclusions: This study provides initial validation of the Mandarin SCQ and PCM. Future studies should consider further establishing the validity and reliability of the Mandarin SCQ among a larger Chinese patient population.

Evaluating environmental behaviour and commitment of pre-service primary science teachers

AbstractEducation for Sustainability (EfS) is crucial for changes in environmental behaviour (EB), and little is known about the EB of primary school teachers tasked with teaching EfS. This study sought to better understand the EB of pre-service primary science teachers. EB was qualitatively evaluated, characterising teachers’ personal environmental activism and commitment to implement EfS among pupils and their families. Data was collected via two open questionnaires based on the Johari Window (JW) and the Authentic Inner Compass (AIC) models. Both questionnaires referred to EB twice: after exposure to the JW model and via statements from the AIC model, and again after 3 months. Findings show that the JW can reveal EB, while the AIC allowed participants to enrich their descriptions of their values, needs and commitment to EB. All participants agreed it was their duty to address EfS in class, but less than half mentioned this when describing actual behaviour. This study enables in-depth understanding of participants’ EB, including their actions, barriers and concerns, which might precede planning programmes on EfS implementation. As tomorrow educators, PSTs should be the focus of such programmes, which should be part of teacher education curricula.

How Children Co-Construct a Religious Abstract Concept with Their Caregivers: Theological Models in Dialogue with Linguistic Semantics

In acquiring a meaningful and rich religious language, children need to build up semantic knowledge about religious words. Most religious concepts do not refer directly to visible entities. Instead, their meanings are often abstract and emerge from the social observation of the world. In our pilot study, we investigate the acquisition of the religious word merciful in 7–8-year-olds during dialogic reading of a biblical story. Merciful is a prototypical religious concept and therefore a fruitful subject for research on the acquisition of religious concepts. First, following the perspective of religious education, we present theological models that identify relevant semantic aspects that constitute mercy. Two of these models relate to interpersonal behavior, which is most common in contemporary understanding. In a second step, we analyze which theological models of mercy are evoked in dialogic reading between caregivers and their children and how they are expressed linguistically. In a third step, we designed a picture story test that allowed us to investigate how children apply their knowledge to novel (secular) contexts and which theological models are evident in children’s problem solving. Our results show that two different theological models of mercy prevail during dialogic reading: the model of forgiveness and the model of compassion. Although the model of forgiveness is central in our settings, the language data show that the model of compassion is also present in the caregiver’s and children’s language. During dialogic reading, the frequency of the semantic aspects of the model of forgiveness expressed between child and caregiver is significantly related. In the picture story test, children are more likely to select semantic aspects of the model of forgiveness in religious contexts than in secular contexts. Interestingly, in secular contexts, children chose semantic neighbors more often, indicating a more diffuse understanding of merciful.

Modeling Explosive Opinion Depolarization in Interdependent Topics.

Understanding the dynamics of opinion depolarization is pivotal to reducing the political divide in our society. We propose an opinion dynamics model, which we name the social compass model, for interdependent topics represented in a polar space, where zealots holding extreme opinions are less prone to change their minds. We analytically show that the phase transition from polarization to consensus, as a function of increasing social influence, is explosive if topics are not correlated. We validate our theoretical framework through extensive numerical simulations and recover explosive depolarization also by using initial opinions from the American National Election Studies, including polarized and interdependent topics.

Robust full-waveform inversion based on automatic differentiation and differentiable dynamic time warping

AbstractFull waveform inversion is a methodology that determines high-resolution parameters. The widely used L2-norm misfit function has local minima if the low wavenumber components are not accurate. Suffering from a cycle skipping problem, the solution of waveform inversion will be trapped in the local minima. Dynamic time warping aims to find an optimal alignment between two signals, which is a more robust measure to avoid cycle-skipping challenges. However, the discontinuity makes the conventional dynamic time warping distance unsuitable for waveform inversion. We introduce a soft dynamic time warping distance as the misfit function, which is differentiable in that the inverted solution can converge to the accurate global minimum. We compare the convexity of the L2-norm and soft dynamic time warping distance and show that the soft dynamic time warping distance has a wider convexity range with different time shift and amplitudes. It can alleviate the half-wavelength limitation of the conventional L2-norm. We calculate the gradient using the automatic differentiation technique and the minibatch strategy and then analyse the alignment paths of different smooth parameters. A significant smooth parameter γ makes the Soft-DTW distance tending to the L2-norm, which generates new local minima. We recommend a small smooth parameter to ensure the convexity of the Soft-DTW distance. Numerical examples show that the soft dynamic time warping can effectively reconstruct the deep velocity parameters of the BG Compass and Marmousi models with noise robustness and lower dependence on the initial model.

IrF4 : From tetrahedral compass model to topological semimetal

The intersection of topology, symmetry, and magnetism yields a rich structure of possible phases. In this work, we study theoretically the consequences of magnetism on ${\mathrm{IrF}}_{4}$, which was recently identified as a possible candidate topological nodal chain semimetal in the absence of magnetic order. We show that the spin-orbital nature of the Ir moments gives rise to strongly anisotropic magnetic couplings resembling a tetrahedral compass model on a diamond lattice. The predicted magnetic ground state preserves key symmetries protecting the nodal lines, such that they persist into the ordered phase at the mean-field level. The consequences for other symmetry reductions are also discussed.

Hybrid symmetry breaking in classical spin models with subsystem symmetries

We investigate two concrete cases of phase transitions breaking a subsystem symmetry. The models are two classical compass models featuring line-flip and plane-flip symmetries and correspond to special limits of a Heisenberg-Kitaev Hamiltonian on a cubic lattice. We show that these models experience a hybrid symmetry breaking by which the system display distinct symmetry broken patterns in different submanifolds. For instance, the system may look magnetic within a chain or plane but nematic-like when observing from one dimensionality higher. We fully characterize the symmetry-broken phases by a set of subdimensional order parameters and confirm numerically both cases undergo a non-standard first-order phase transition. Our results provide new insights into phase transitions involving subsystem symmetries and generalize the notion of conventional spontaneous symmetry breaking.

Sustainable leadership and wellbeing of healthcare personnel: A sequential mediation model of procedural knowledge and compassion.

In healthcare organizations, saving patients' lives while maintaining the staff's wellbeing, performance and competencies were challenging during the COVID-19 pandemic. Although the complexity of healthcare settings is widely recognized, the pandemic evidenced the necessity of attending to the employees' wellbeing in such a sector. This research aims to examine the effect of sustainable leadership on wellbeing of healthcare personnel. Furthermore, we also evaluate whether procedural knowledge and compassion act as mediators in such a relationship. The hypothesized model was tested in healthcare organizations in a South Asian country, and the data were collected during the pandemic crisis. A total of 366 health personnel (physicians and nurses) participated in this research. With Hayes' PROCESS macro, we examined all the direct and indirect paths, including sequential mediation. The findings confirm the impact of sustainable leadership on wellbeing and this relationship is also mediated by procedural knowledge and compassion. Sustainable leadership fosters wellbeing among healthcare workers via the sequential mediation of procedural knowledge and compassion. Study findings suggest that sustainable leaders can trigger procedural knowledge among employees which in turn crafts the state of compassion in them that leads to their wellbeing. Theoretical and practical implications are discussed in light of study findings.