Two-phase Coding Research Articles

Exploring the gender care experiences and perspectives of individuals who discontinued their transition or detransitioned in Canada.

Those who detransition have received increased public and scholarly attention and their narratives are often presented as evidence of limitations with contemporary gender-affirming care practices. However, there are scant empirical studies about how this population experienced their own process of gaining access to gender-affirming medical/surgical interventions, or their recommendations for care practice. To qualitatively explore the care experiences and perspectives of individuals who discontinued or reversed their gender transitions (referred to as detransition). Between October 2021-January 2022, Canadian residents aged 18 and older with experience of stopping, shifting, or reversing a gender transition were invited to participate in semi-structured, one-on-one, virtual interviews. A purposive sample of 28 was recruited by circulating study adverts over social media, to clinicians in six urban centres, and within participants' social networks. Interviews ranged between 50-90 minutes, were audio-recorded, and transcribed verbatim. Following constructivist grounded theory methodology, interview data were analyzed inductively and thematically following a two-phase coding process to interpret participants' experiences of, and recommendations for, gender care. Participants were between the ages of 20-53 (71% were between 20-29). All participants identified along the LGBTQ2S+ spectrum. Twenty-seven out of 28 of the participants received medical/surgical interventions (60% were ages 24 and younger). A majority (57%) reported three or more past gender identities, with 60% shifting from a binary transgender identity at the time of initiating transition to a nonbinary identity later in their transition journey. To access medical/surgical interventions, most participants were assessed via the gender-affirming care model pathway and also engaged in talk therapy with a mental healthcare provider such as a psychologist or psychiatrist. Some participants experienced their care as lacking the opportunity to clarify their individual treatment needs prior to undergoing medical/surgical transition. Decisional regret emerged as a theme alongside dissatisfaction with providers' "informed consent" procedures, such that participants felt they would have benefitted from a more robust discussion of risks/benefits of interventions prior to treatment decision-making. Overall, participants recommended an individualized approach to care that is inclusive of mental healthcare supports. To optimize the experiences of people seeking and receiving gender care, a thorough informed consent process inclusive of individualized care options is recommended, as outlined by the World Professional Association of Transgender Health, standards of care, version 8.

Instructional strategies to promote computational thinking for young learners

Increased recognition of the importance of computational thinking as a core skill for all students has led many states to adopt and implement computer science standards, with a focus on teaching computational thinking. Consequently, there is an increased need to prepare educators that are equipped with the knowledge, skills, and instructional strategies required to teach computational thinking. In this case study, we present instructional strategies utilized by informal educators (i.e., parents) to facilitate computational thinking amongst five-to-seven-year-old children during two activities (a no-tech and a technology-based activity). The data for this empirical study includes videos of the parent-child interactions during both activities. Through a two-phase coding process (deductive coding, using CT competencies to capture children’s CT, followed by inductive coding to identify the emergent themes for the strategies parents used to engage children in CT) we identified productive strategies of: Questioning, Modeling, and Motivation/Encouragement to engage children in five CT competencies.

Interference Analysis and Simulation of Active Jamming for Two Phase Code PD Radar Fuze

Two-phase coding technology is a commonly used radar anti-jamming technology. The paper analyzes a pulse Doppler (PD) radar radar with two-phase encoding. Firstly, the characteristics of the two-phase coded signal are analyzed, and its good anti-interference performance is demonstrated. Then, the working principle of the PD radar fuse is analyzed as the principle of the simulation experiment. In order to investigate the anti-jamming performance of the PD radar fuse with two-phase coding technology, the paper used the radio frequency (RF) suppression interference and the dense false target interference to simulate the interference of the fuse. The simulation results are good, reflecting that the two-phase coded PD radar fuse has certain anti-jamming ability to suppress interference, but it has poor anti-jamming performance for the repeater-type deception jamming.

Proposals for local basis selection for the sparse representation-based classifier

In the domains of pattern recognition and computer vision, sparse representation classifier and its variants are considered as powerful classifiers. However, due to the use of sparse coding in most of its variants, classifying test samples is computationally expensive. Thus, it is not practical for scenarios demanding fast classification. For this reason, a two-phase coding classifier based on classic regularized least square was proposed recently. A significant limitation of this classifier is the fact that the number of local bases that should be handed over to the next coding phase should be specified manually. This paper overcomes this main limitation and proposes three data-driven schemes allowing an automatic estimation of the optimal size of the local bases. Experiments conducted on five image datasets show that the introduced schemes, despite their simplicity, can improve the performance of the two-phase linear coding classifier adopting ad hoc choices for the number of local bases.

OPERATIONAL ANALYSIS OF COMPLEX MEDICAL STATES BY PHOTONICS METHODS

In this paper we analyze the possibility of using special methods and equipment of coherent photonics when working with multi-parameter information. Inverse two-phase coding and operational analysis of multi-parameter data can realize a number of probabilistic algorithms. The possibility and expediency of realization of not only the correlation algorithm underlying the holographic image recognition but also universal statistical algorithms using photonics methods is substantiated. A comparative analysis of photonic medical diagnostic systems running on a wide range of algorithms: search for precedent, correspondence diagnostics, deterministic diagnostics, Bayes algorithm. The results of experimental studies of medical diagnosis and the prediction of complex conditions is presented. Such an analysis is carried out by the means of vector-matrix multiplication using laser photonics methods. It is significant that with the widening of the range of probability algorithms, it is possible to preserve certain advantages of the holographic method: multidimensionality, efficiency, high information capacity and speed, visibility and flexibility of the result presentation. The methods described are of particular relevance in connection with the first photonic processors.

Holographic data processing methods for medical prognosis

The various methods of laser coherent photonic implementations of multiparametric classification are discussed in this paper. The holographic and optical data processing methods for medical application are considered. Inverse two-phase coding and analysis of light distribution in the correlation plane enables us to realize a number of algorithms: search for a precedent, Hamming distance measurement, Bayes probability algorithm, deterministic and ‘correspondence’ algorithms. The experimental holographic results for medicine prognosis are shown.

A Composite Pulse Modulated Signal Compression and DSP Implementation

Linear frequency modulated signal and the two-phase encoded signals are widely used in pulse compression radar system derived, based on the analysis of the two signals, a linear frequency modulated with chaotic two-phase coding complex modulated signals. Versatility advantages of simple structure, radar signal processing using DSP signal processing devices. TI's TMS320C6713 DSP as the core basis works to achieve a common structure, the composite modulation signal frequency domain digital pulse compression processing, given the realization of the system block diagram and pulse pressure results. The results showed that the composite modulation signal is easy to produce and handle, and works to achieve feasible.

Knowledge systems, health care teams, and clinical practice: a study of successful change

Clinical teams are of growing importance to healthcare delivery, but little is known about how teams learn and change their clinical practice. We examined how teams in three US hospitals succeeded in making significant practice improvements in the area of antimicrobial resistance. This was a qualitative cross-case study employing Soft Knowledge Systems as a conceptual framework. The purpose was to describe how teams produced, obtained, and used knowledge and information to bring about successful change. A purposeful sampling strategy was used to maximize variation between cases. Data were collected through interviews, archival document review, and direct observation. Individual case data were analyzed through a two-phase coding process followed by the cross-case analysis. Project teams varied in size and were multidisciplinary. Each project had more than one champion, only some of whom were physicians. Team members obtained relevant knowledge and information from multiple sources including the scientific literature, experts, external organizations, and their own experience. The success of these projects hinged on the teams' ability to blend scientific evidence, practical knowledge, and clinical data. Practice change was a longitudinal, iterative learning process during which teams continued to acquire, produce, and synthesize relevant knowledge and information and test different strategies until they found a workable solution to their problem. This study adds to our understanding of how teams learn and change, showing that innovation can take the form of an iterative, ongoing process in which bits of K&I are assembled from multiple sources into potential solutions that are then tested. It suggests that existing approaches to assessing the impact of continuing education activities may overlook significant contributions and more attention should be given to the role that practical knowledge plays in the change process in addition to scientific knowledge.

Two-Phase Coding Multichannel MAC Protocol With MAI Mitigation for Mobile Ad Hoc Networks

This letter introduces a novel multichannel medium access control (MAC) protocol for mobile ad hoc networks (MANETs) based on a scalable two-phase coding scheme, which eliminates the hidden terminal problem (HTP) without exchange of neighborhood information. Furthermore, power control is incorporated to mitigate multiple-access interference (MAI). Simulation results show that significant improvement can be achieved by the proposed protocol over IEEE 802.11 DCF.