Space Dynamics Research Articles

Rancangan Lansekap Gedung Kuliah E Kampus Institut Teknologi Kalimantan Sebagai Ruang Multi Fungsi

The presence of open spaces in the spatial order of the campus can encourage students to engage in outdoor activities aimed at improving their quality of life and academic performance. Providing an integrated, open campus space is the key to creating a unique, dynamic, and aesthetic campus. During development, Institut Teknologi Kalimantan (ITK) continues to develop the infrastructure to support all lecture events, one of which is an open space configuration for College Building E. The landscape design process for this college building is in progress. It consists of five steps consisting of (1) problem identification; (2) data collection; (3) data analysis; (4) formulation of concepts; and (5) Design. The landscape design concept of College Building E conceptually applies the principle of multifunctional space as seen in the design of public green open spaces that combine the functions of public and green spaces. The coexistence of public and green spaces creates harmony in the design of educational, recreational, interactive, aesthetic, and dynamic open spaces.

Unitary evolution for a two-level quantum system in fractional-time scenario.

The time-evolution operator obtained from the fractional-time Schrödinger equation(FTSE) is said to be nonunitary since it does not preserve the norm of the vector state in time. As done in the time-dependent non-Hermitian quantum formalism, for a traceless non-Hermitian two-level quantum system, we demonstrate that it is possible to map the nonunitary time-evolution operator in a unitary one. It is done by considering a dynamical Hilbert space with a time-dependent metric operator, constructed from a Hermitian time-dependent Dyson map, in respect to which the system evolves in a unitary way, and the standard quantum mechanics interpretation can be made properly. To elucidate our approach, we consider three examples of Hamiltonian operators and their corresponding unitary dynamics obtained from the solutions of FTSE, and the respective Dyson maps.

Smartphone Religious Networking: Negotiating Contested Identities within a Pious Community over WhatsApp

Online social networks can be considered harbingers of modernity and are claimed to encourage individualization in religious practices. Nevertheless, religious minority groups, including reclusive communities, legitimize their use for religious and communal purposes. Accordingly, social networks are emerging as dynamic third spaces of identity reflections on key issues of lived religion. This study examined how members of a religious group negotiate their identity over online social networks. Accordingly, we conducted a content analysis of 70 ultra-Orthodox Jewish public (Haredi) WhatsApp groups and 40 semi-structured interviews with participants. Findings revealed three primary facets of identity performance: communal affinity; proclaimed conformism and practiced agency; and contesting dogmatism and pragmatism. Through these facets, a new social identity is crystallized within the Haredi sector in Israel. Thus, the secluded spaces of WhatsApp groups enable a marginalized grassroots religious public to promote incremental social change without shattering communal boundaries.

Public library work during the first year of the COVID-19 pandemic

The COVID-19 pandemic has disrupted and challenged not only our assumptions about work but our experience of it. Public libraries and library workers sit on the front lines of service to communities. Public library workers expressed their frustrations and concerns in the early stages of the pandemic via dynamic and uncensored spaces in social media. This poster shares initial analysis and further questions from a survey designed as part of a research project to cultivate a more structured set of evidence from public library workers in order to better examine and understand job satisfaction among them during the first year of the COVID-19 pandemic.
 In a nationwide survey, librarians shared challenges and opportunities faced and their thoughts on the future of library work. The survey was open from 12-14-2021 to 1-31-2022 and 1228 library workers responded. 
 We will also draw on the analysis to inform practice LIS education.

Spectral approaches in momentum space for dynamics of atoms in strong laser fields: application to long pulses and low-frequency regime

In this work, we present in detail a novel approach to solve the time-dependent Schrödinger equation in the momentum space (TDSE-). It is based on the expansion of the electron wavepacket and the nonlocal interacting Coulomb potential in a Coulomb Sturmian basis. It allows a spectral treatment of the TDSE- from which another formulation of our previous model potential is proposed. This latter enables us to go easily beyond the 1s + 2sp states, and accordingly, may help to have more insight on the role of the Coulomb potential or the atomic structure in the ionization process. In order to bring out the improvement of this approximation and as an illustration, the case of 3spd states supported by the Coulomb potential is derived analytically, leaving the other cases for later investigations. Physical observables such as oscillator strengths, bound states populations, ionization probabilities, energy spectra, momentum and energy-angle distributions, are described in detail and their formulas employed in our ab initio computations are given in compact matrix forms The calculations can be done either by using the ionized wave function or by projecting the wavepacket onto the incoming Coulomb wave function. For illustrative purpose, we apply these theories in the dipole approximation to two one-electron atomic targets initially prepared in the ground and excited electronic states, and driven by intense low-frequency electromagnetic fields. We consider several laser parameters for long pulses recently reported in the literature. Our results compare remarkably well with reference data of atomic structure, and their agreement with the atomic dynamics outcome of previous treatments is quite satisfactory.

The seen and unseen: Exploring place identity of market place in Peninsular Malaysia

The roles of the marketplace in promoting place identity have been the central focus of the UN- Habitat and stakeholders around the globe. The notion of marketplace relating to place identity, place attachment and sense of place have gained attention by Malaysian researchers but much focused on the overt of the marketplaces compared to the covert. This study aims to explore how the seen and unseen elements coexist and enhance place identity. The objective is to discover the influence of overt and covert parameters on marketplace identity through the cultural mapping among four different regions in Peninsular Malaysia. This study employs a qualitative approach through direct non-participant observation and cultural mapping at the four selected marketplaces: Pantai Suri floating market in Tumpat, Kelantan, Pasar Bisik in Penaga, Penang, Pasar Jerami in Sungai Besar, Selangor and Pasar Borneo in Masai, Johor. The overt and covert of each market were carefully observed and mapped, where three substantial outcomes were revealed. First, the social interaction and transaction, social activities and social connectivity at the market portray the covert aspect as vital for place identity. Second, marketplaces have the potentials as dynamic community public spaces to get fresh daily products and promote local heritage and tourism. Third, marketplaces face threats from climate change, pandemic Covid-19, and the diminishing local culture and traditions. In conclusion, the covert and overt of marketplaces should be equally preserved as they become primary components for developing a regional place identity.

Untangling Synergistic Effects of Intersecting Social Identities with Partial Information Decomposition.

The theory of intersectionality proposes that an individual’s experience of society has aspects that are irreducible to the sum of one’s various identities considered individually, but are “greater than the sum of their parts”. In recent years, this framework has become a frequent topic of discussion both in social sciences and among popular movements for social justice. In this work, we show that the effects of intersectional identities can be statistically observed in empirical data using information theory, particularly the partial information decomposition framework. We show that, when considering the predictive relationship between various identity categories such as race and sex, on outcomes such as income, health and wellness, robust statistical synergies appear. These synergies show that there are joint-effects of identities on outcomes that are irreducible to any identity considered individually and only appear when specific categories are considered together (for example, there is a large, synergistic effect of race and sex considered jointly on income irreducible to either race or sex). Furthermore, these synergies are robust over time, remaining largely constant year-to-year. We then show using synthetic data that the most widely used method of assessing intersectionalities in data (linear regression with multiplicative interaction coefficients) fails to disambiguate between truly synergistic, greater-than-the-sum-of-their-parts interactions, and redundant interactions. We explore the significance of these two distinct types of interactions in the context of making inferences about intersectional relationships in data and the importance of being able to reliably differentiate the two. Finally, we conclude that information theory, as a model-free framework sensitive to nonlinearities and synergies in data, is a natural method by which to explore the space of higher-order social dynamics.

Combining Sentinel-2 data with an optical-trapezoid approach to infer within-field soil moisture variability and monitor agricultural production stages

Soil moisture is an important precision agricultural variable that can be used to identify optimal growth conditions, infer vegetation stress, and maximize crop yield. However, obtaining soil moisture information with sufficient spatial and temporal resolution for such applications remains a challenge. The optical trapezoid model (OPTRAM), a shortwave infrared transformed reflectance and normalized difference vegetation index (STR-NDVI) method, has previously been used for retrieving soil moisture from optical remote sensing data. However, the capacity of OPTRAM for mapping the high-resolution spatial heterogeneity of soil moisture at individual agricultural field scales has yet to be explored. Here, we advance an approach for retrieving and quantifying the spatial heterogeneity of soil moisture for individual fields using high spatiotemporal resolution Sentinel-2 imagery. We also propose the concept of a dynamic STR-NDVI space for identification of irrigation events and crop growth stages, such as irrigation start and end dates, and dates of initial crop growth, maturity and harvest. Pre-existing OPTRAM parameterization schemes were evaluated for several crops (maize, carrot, alfalfa and Rhodes grass) and a new scheme was proposed. Results show that the original OPTRAM model can derive surface soil moisture (∼ 1 cm in depth) with acceptable coefficients of determination (R2 ≥ 0.43) and root mean square errors (RMSE ≤ 0.09 m3/m3) against ground measurements when uniform dry and wet edge parameters are applied for all crop types. The proposed scheme produced improved soil moisture retrievals with an R2 ≥ 0.65 and RMSE ≤ 0.05 m3/m3 when the specific dry and wet edge parameters were applied for each specific crop type. By analyzing time series of STR-NDVI, we demonstrate that the dynamic STR-NDVI spaces not only traces the coevolution of surface processes but also quantifies the spatial heterogeneity of soil moisture and vegetation status. Thus, the proposed dynamic STR-NDVI spaces based on the high spatiotemporal resolution Sentinel-2 imagery can both advance and extend the application of OPTRAM and improve the interpretation of soil moisture spatial heterogeneity at agricultural field scales, supporting efforts towards irrigation and crop growth monitoring in precision agriculture.

Crystal gravity

We address a subject that could have been analyzed century ago: how does the universe of general relativity look like when it would have been filled with solid matter? Solids break spontaneously the translations and rotations of space itself. Only rather recently it was realized in various context that the order parameter of the solid has a relation to Einsteins dynamical space time which is similar to the role of a Higgs field in a Yang-Mills gauge theory. Such a "crystal gravity" is therefore like the Higgs phase of gravity. The usual Higgs phases are characterized by a special phenomenology. A case in point is superconductivity exhibiting phenomena like the Type II phase, characterized by the emergence of an Abrikosov lattice of quantized magnetic fluxes absorbing the external magnetic field. What to expect in the gravitational setting? The theory of elasticity is the universal effective field theory associated with the breaking of space translations and rotations having a similar status as the phase action describing a neutral superfluid. A geometrical formulation appeared in its long history, similar in structure to general relativity, which greatly facilitates the marriage of both theories. With as main limitation that we focus entirely on stationary circumstances -- the dynamical theory is greatly complicated by the lack of Lorentz invariance -- we will present a first exploration of a remarkably rich and often simple physics of "Higgsed gravity".

Assessing Social Capital Indicators in Public Spaces in Central streets of the City of Sanandaj, Iran

The social capital concept has been proposed alongside other capitals such as human capital, financial capital and economic capital. The aim of this research was to evaluate the social capital in streets, which are among the most dynamic urban public spaces. They provide physical connections for social interactions and consequently can enhance social capital. To this aim, four central crossroads of the city of Sanandaj, Iran were selected as a case study. This study is a descriptive analysis conducted by questioning 400 participants. The collected data were analyzed by using the SPSS (Statistical Package for the Social Sciences) software at the inferential and statistical levels. The findings showed that effective elements of streets to improve social capital include the promotion of environmental qualities and mixed land use related to social trust, the feeling of belonging, identity and place related to social norms, face-to-face relationships, and social participation related to social networks.

In Search of Scholarly Impact

In Search of Scholarly Impact

Discussion forums: A misnomer? Examining lurkers, engagement and academic achievement

Discussion forums are often touted as maximising student participation and learning but concerns around engagement counter any perceived benefits. Often participation is the measure of engagement, and students who do not post are deemed unengaged. To further examine engagement and forums as learning communities, we used analytic data from 270 students enrolled in two online psychology subjects using social network analysis and interviewed 22 students. Both subjects’ forums had greater egalitarian triads, indicative of reciprocal relationships. Furthermore, both active posters and lurkers had a mix of grade bands indicating that some lurkers still achieved academically. Lurking was a key qualitative theme along with checking for assessment information and intimidation. For both subjects, students were engaged with the forums, and differences in connectivity were consistent with the different subject content. However, forum activity indicated that these forums were more like subscription services than communities of practice. We propose that forums can be transformed into dynamic teaching spaces through understanding the multidimensionality of engagement, setting the expectation and tone of the forum as a safe place, and enhancing the platforms so visible indicators show that posts have been read or consumed. We further propose that students who engage but do not post be called quiet participants. Implications for practice or policy: Educators and researchers can improve the understanding of engagement with discussion forums by acknowledging the distinction between participation and engagement. Online providers can assist in transforming these online platforms into dynamic teaching tools through enhancements that indicate a post has been read. Educators can increase engagement by setting the tone and expectations for the forum. Replacing the negative term lurker with quiet participants better reflects the activity of these students.

Germ-typicality of the coexistence of infinitely many sinks

In the spirit of Kolmogorov typicality, we introduce the notion of germ-typicality: in a space of dynamics, it encompasses all these phenomena that occur for a dense and open subset of parameters of any generic parametrized family contained in an open set of systems.For any 2≤r<∞, we prove that the Newhouse phenomenon (the coexistence of infinitely many sinks) is locally Cr-germ-typical, nearby a dissipative bicycle: a dissipative homoclinic tangency linked to a special heterodimensional cycle.During the proof we show a result of independent interest: the stabilization of some heterodimensional cycles for any regularity class r∈{1,…,∞}∪{ω} by introducing a new renormalization scheme. We also continue the study of the paradynamics done in [6,7,1] and prove that parablenders appear by unfolding some heterodimensional cycles.

Theory of Knowledge Based on the Idea of the Discursive Space

This paper discusses the theory of knowledge based on the idea of dynamical space. The goal of this effort is to comprehend the knowledge that remains beyond the human domain, e.g., of the artificial cognitive systems. This theory occurs in two versions, weak and strong. The weak version is limited to knowledge in which retention and articulation are performed through the discourse. The strong version is general and is not limited in any way. In the weak version, knowledge is represented by the trajectories of discourses in time, in a dynamical space called the discursive space, which has an arbitrary number of dimensions. Given space is used to represent a given part of knowledge. A manifold is introduced to represent knowledge with a wider scope (all knowledge). The strong version is an extrapolation of the weak version to cover all forms of knowledge, not necessarily human or manifesting in language. The use of dynamical space construction allows one to formalize knowledge as such. Such an effort requires us to initially consider knowledge as mainly a social and linguistic phenomenon, which also could be presented as a result of the evolution of the understanding of knowledge that took place in the 20th century.

Artificial Intelligence for Sustainable Complex Socio-Technical-Economic Ecosystems

The strong and functional couplings among ecological, economic, social, and technological processes explain the complexification of human-made systems, and phenomena such as globalization, climate change, the increased urbanization and inequality of human societies, the power of information, and the COVID-19 syndemic. Among complexification’s features are non-decomposability, asynchronous behavior, components with many degrees of freedom, increased likelihood of catastrophic events, irreversibility, nonlinear phase spaces with immense combinatorial sizes, and the impossibility of long-term, detailed prediction. Sustainability for complex systems implies enough efficiency to explore and exploit their dynamic phase spaces and enough flexibility to coevolve with their environments. This, in turn, means solving intractable nonlinear semi-structured dynamic multi-objective optimization problems, with conflicting, incommensurable, non-cooperative objectives and purposes, under dynamic uncertainty, restricted access to materials, energy, and information, and a given time horizon. Given the high-stakes; the need for effective, efficient, diverse solutions; their local and global, and present and future effects; and their unforeseen short-, medium-, and long-term impacts; achieving sustainable complex systems implies the need for Sustainability-designed Universal Intelligent Agents (SUIAs). The proposed philosophical and technological SUIAs will be heuristic devices for harnessing the strong functional coupling between human, artificial, and nonhuman biological intelligence in a non-zero-sum game to achieve sustainability.

Zaawansowane procedury NLP jako przesłanka rekonstrukcji idei wiedzy

Advanced NLP Procedures as Premises for the Reconstruction of the Idea of Knowledge The article presents the current state of development of the Natural Language Processing (NLP) technology, in particular the GPT-3 language model, and presents its consequences for understanding the phenomenon of knowledge. The NLP technology has been experiencing remarkable development recently. The GPT-3 language model presents a level of advancement that allows it to generate texts as answers to general questions, as summaries of the presented text, etc., which reach the level surpassing the analogous level of human texts. These algorithmic operations lead to the determination of the probability distribution of its components. Texts generated by such a model should be considered as autonomous texts, using immanent, implicit knowledge embedded in language. This conclusion raises questions about the status of such knowledge. Help in the analysis is provided also by the theory of discourse, as well as the theory of discursive space based on it, that proposes the interpretation of knowledge as a trajectory of discourses in a dynamical space. Recognizing that knowledge may also be autonomous, and in particular not be at the exclusive disposal of humans, leads to the question of the status of artificial cognitive agents, such as the GPT-3 language model.

Verification framework for control theory of aircraft

AbstractA control system verification framework is presented for unmanned aerial vehicles using theorem proving. The framework’s aim is to set out a procedure for proving that the mathematically designed control system of the aircraft satisfies robustness requirements to ensure safe performance under varying environmental conditions. Extensive mathematical derivations, which have formerly been carried out manually, are checked for their correctness on a computer. To illustrate the procedures, a higher-order logic interactive theorem-prover and an automated theorem-prover are utilised to formally verify a nonlinear attitude control system of a generic multi-rotor UAV over a stability domain within the dynamical state space of the drone. Further benefits of the procedures are that some of the resulting methods can be implemented onboard the aircraft to detect when its controller breaches its flight envelope limits due to severe weather conditions or actuator/sensor malfunction. Such a detection procedure can be used to advise the remote pilot, or an onboard intelligent agent, to decide on some alterations of the planned flight path or to perform emergency landing.

El Barranco Hondo de La Victoria y el Barranco de Añavingo de Arafo: dos propuestas de actuación y gestión patrimonial de los paisajes culturales de Tenerife

The development of the traditional communities in Canary Island have passed by an intense process of exploitation of territorial resources which are part of its cultural identity. In this context stand the ravines out like dynamic spaces that offer a wide variety of resources to the development of socio-economic activities. Actually, these are displayed as important cultural landscapes which have been undervalued and forgotten but they continue to be part of the Canary Cultural Heritage, both tangible and intangible.

A general real-time optimization framework for polynomial-based trajectory planning of autonomous flying robots

This paper presents a general real-time, numerically stable optimization framework for time polynomial-based trajectory generation of autonomous aerial robots. The proposed general optimization framework (GOF) allows various optimization criteria for trajectory generation cost-function, such as minimizing the trajectory total length, time, and position derivatives. Minimizing position derivatives includes velocity, acceleration, jerk, and snap, or any combination of them. This study considers the quadrotor as the test platform. By exploiting tools from the calculus of variations, differential flatness property, and polynomial-based trajectories, the developed algorithm finds feasible trajectories without extensive computational sampling and iterative searching in the high-dimensional state space of quadrotor dynamics. The GOF includes a segment-wise gradient descent-like algorithm to iteratively decrease the allowed time of each segment individually so as to avoid getting stuck at a local minimum. The comparison analysis with existing methods validated the numerical stability and computational speed advantages of the proposed approach. It also shows that the algorithm is suitable for the real-time generation of high-performance long-range trajectories consisting of a large number of waypoints and high-order piecewise polynomials. An animated simulation of this work is available at https://youtu.be/E1AC1vyPqOE

A Voices-Centered Approach to Transitional Justice: Youth-led Activism and Artistic Initiatives Open Spaces for Broad Community Engagement

ABSTRACT In response to a global movement demanding justice for historically oppressed communities, there are increased calls for transitional justice approaches to help unravel legacies of colonization, slavery and marginalization. Applying transitional justice approaches to contexts of structural injustice raises new questions that push the boundaries of the field. In the face of these challenges, this article explores ways to conceptualize transitional justice as a dynamic, ongoing relational process that centers victims and involves bystanders, beneficiaries and the general public in meaningful and appropriate ways. Across different socio-political contexts, we look to new voices, in particular youth voices and creative approaches, for inspiration on how to bring more people into the conversation to address emerging dilemmas in consolidated democracies. Much can be learned from the dynamic spaces created by young people to encourage a more transformational process of reckoning with past legacies to advance a more just future.