The Professional Identity Development of Counseling Students During Extreme Stressors: Lessons Learned in the COVID-19 Pandemic

Based on Bronfenbrenner’s bioecological framework and current literature, we discussed the impact of the COVID-19 crisis may have shaped the professional identity development (PID) of counseling students and the ecosystems of counselor education. While the discipline recognizes the importance of paying attention to counseling students’ PID, the discourse on the topic in the context of extreme environmental stressors such a pandemic appears to be lacking. We discussed in this paper the opportunity the COVID-19 pandemic has presented to counselor educators and supervisors (CES) to frame extreme challenging moments like theses as times to facilitate the strengthening and internalizing of counselor profession identity among counseling trainees. We further shared lessons learned as CES and offered suggestions to various stakeholders in counselor education for consideration. We concluded the paper by exploring implications, technological possibilities, and research possibilities in counselor training

Linear regression models with autoregressive integrated moving average errors for measurements from real time kinematics-global navigation satellite system during dynamic test

The autoregressive integrated moving average (ARIMA) method has been used to model global navigation satellite systems (GNSS) measurement errors. Most ARIMA error models describe time series data of static GNSS receivers. Its application for modeling of GNSS under dynamic tests is not evident. In this paper, we aim to describe real time kinematic-GNSS (RTK-GNSS) errors during dynamic tests using linear regression with ARIMA errors to establish a proof of concept via simulation that measurement errors along a trajectory logged by the RTK-GNSS can be “filtered”, which will result in improved positioning accuracy. Three sets of trajectory data of an RTK-GNSS logged in a multipath location were collected. Preliminary analysis on the data reveals the inability of the RTK-GNSS to achieve fixed integer solution most of the time, along with the presence of correlated noise in the error residuals. The best linear regression models with ARIMA errors for each data set were identified using the Akaike information criterion (AIC). The models were implemented via simulations to predict improved coordinate points. Evaluation on model residuals using autocorrelation, partial correlation, scatter plot, quantile-quantile (QQ) plot and histogram indicated that the models fitted the data well. Mean absolute errors were improved by up to 57.35% using the developed models

Mentorship in Counselor Education: A Scoping Review

Mentorship has been widely lauded as meaningful for trainees in their professional development. To better understand the gaps in the scholarship of mentorship in counselor education, a scoping review was conducted to examine peer-reviewed research from 2005-2020. Results found eligible articles (n = 18) met the eligibility criteria. Implications from this study include improving conceptual rigor of mentorship outcomes in counselor education research, further investigating how underrepresented identities may benefit from mentorship, and tailoring mentorship interventions for the learning context and graduate level for counselor education students

Interdisciplinary Collaboration Challenges Faced by Counselors in Places Where Professional Counseling is Nascent

The counseling profession may be considered well established in some parts of the world; however, in most countries it remains non-existent or a nascent profession. For the internationalization of counseling to take place, leading to establishment and advancement, the counseling profession needs to engage in interdisciplinary collaboration. Such a process enables a meaningful inclusion of counselors in professional spaces to allow them to meet the socio-emotional needs of clients and communities. In this article, the authors examine the challenges and barriers counselors experience when participating in interdisciplinary professional environments, specifically in places where the counseling profession is a nascent field. We also recommend strategies for counselor educators, supervisors, trainees, practitioners, and professional organization leaders to employ in efforts to address and overcome some of the challenges and barriers and advocate for the inclusion of counselors as valued members in interdisciplinary settings

Differential osteogenic activity of osteoprogenitor cells on HA and TCP/HA scaffold of tissue engineered bone.

Biomaterial, an essential component of tissue engineering, serves as a scaffold for cell attachment, proliferation, and differentiation; provides the three dimensional (3D) structure and, in some applications, the mechanical strength required for the engineered tissue. Both synthetic and naturally occurring calcium phosphate based biomaterial have been used as bone fillers or bone extenders in orthopedic and reconstructive surgeries. This study aims to evaluate two popular calcium phosphate based biomaterial i.e., hydroxyapatite (HA) and tricalcium phosphate/hydroxyapatite (TCP/HA) granules as scaffold materials in bone tissue engineering. In our strategy for constructing tissue engineered bone, human osteoprogenitor cells derived from periosteum were incorporated with human plasma-derived fibrin and seeded onto HA or TCP/HA forming 3D tissue constructs and further maintained in osteogenic medium for 4 weeks to induce osteogenic differentiation. Constructs were subsequently implanted intramuscularly in nude mice for 8 weeks after which mice were euthanized and constructs harvested for evaluation. The differential cell response to the biomaterial (HA or TCP/HA) adopted as scaffold was illustrated by the histology of undecalcified constructs and evaluation using SEM and TEM. Both HA and TCP/HA constructs showed evidence of cell proliferation, calcium deposition, and collagen bundle formation albeit lesser in the former. Our findings demonstrated that TCP/HA is superior between the two in early bone formation and hence is the scaffold material of choice in bone tissue engineering

A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.

The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world

A graphical method for automatic code generation from extended s-system petri net models

This work has introduced a fast and reliable method for graphical modeling of discrete systems control problems using extended S-system Petri Net. By adding new functionalities to the extended S-System Petri Net, dynamic quantities such as microcontroller signals transitions, system timing, interrupts, subroutines and arithmetic operations could now be modeled by software. A graphical-based diagram editor has been developed in this work to handle the model entry, editing and visualization. The diagram editor contains all the basic facilities required for entering, editing, visualization and syntax analysis of the S-System Petri Net model. A compiler has also been built to compile the graphical model and generate the assembly code automatically. Together, the diagram editor and model compiler forms an integrated design and development tool called S-PNGEN. Seamless data binding between the diagram editor and the model compiler is achieved by using a common directed-graph framework to internally represent the model diagrams. Diagram syntax checking was implemented using attributed graph grammar. Also introduced in this work is an efficient method for implementing the control solutions on a microcontroller. This involves the development of a procedure for automatically mapping S-System Petri Net models constructed in the diagram editor to control flow graphs. The procedure uses a notion called graph nesting to help the design tool read and understand S-System model diagrams and transform them into control flow graphs. Conversion of an S-System Petri Net model into a control flow graph is an innovative approach introduced in this work for automatic code generation as it guarantees the production of the correct code layout and information for use by the compiler. By applying a syntax-directed translation on the control flow graph constructed, the built-in compiler then automatically generates the assembly code for the target microcontroller

Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM.

Platoon based traffic flow models form the underlying theoretical framework in traffic simulation tools. They are essentially important in facilitating efficient performance calculation and evaluation in urban traffic networks. For this purpose, a new platoon-based macroscopic model called the LWR-IM has been developed in [1]. Preliminary analytical validation conducted previously has proven the feasibility of the model. In this paper, the LWR-IM is further enhanced with algorithms that describe platoon interactions in urban arterials. The LWR-IM and the proposed platoon interaction algorithms are implemented in the real-world class I and class II urban arterials. Another purpose of the work is to perform quantitative validation to investigate the validity and ability of the LWR-IM and its underlying algorithms to describe platoon interactions and simulate performance indices that closely resemble the real traffic situations. The quantitative validation of the LWR-IM is achieved by performing a two-sampled t-test on queues simulated by the LWR-IM and real queues observed at these real-world locations. The results reveal insignificant differences of simulated queues with real queues where the p-values produced concluded that the null hypothesis cannot be rejected. Thus, the quantitative validation further proved the validity of the LWR-IM and the embedded platoon interactions algorithm for the intended purpose

A Comparison of Online and In-person Counseling Outcomes Using Solution-focused Brief Therapy for College Students with Anxiety

This study compared online, synchronous video counseling to in-person counseling using solution-focused brief therapy for college students with mild to moderate anxiety. Participants: Participants were 49 undergraduate students who were seeking counseling for mild to moderate anxiety. The study was conducted from November, 2017 to December 2018. Methods: In a randomized, non-inferiority design, undergraduate participants were randomly assigned to online, synchronous video counseling or in-person treatment for anxiety using solution-focused brief therapy (SFBT). Participants completed the Beck\u27s Anxiety Inventory (BAI) and College Counseling Assessment of Psychological Symptoms (CCAPS) to assess outcomes. Results: The results showed significant changes in scores on the BAI and the CCAPS Generalized Anxiety and Social Anxiety subscales for participants in both study conditions, and no significant differences in effectiveness of the two delivery methods. Conclusions: The findings provide support for the treatment of college students with anxiety with SFBT through online, synchronous video counseling. Limitations related to sample size and diversity are discussed

A Comparison of Online and In-Person Counseling Outcomes Using Solution-Focused Brief Therapy for College Students with Anxiety

This study compared online, synchronous video counseling to in-person counseling using solution-focused brief therapy for college students with mild to moderate anxiety. Participants: Participants were 49 undergraduate students who were seeking counseling for mild to moderate anxiety. The study was conducted from November, 2017 to December 2018. Methods: In a randomized, non-inferiority design, undergraduate participants were randomly assigned to online, synchronous video counseling or in-person treatment for anxiety using solution-focused brief therapy (SFBT). Participants completed the Beck’s Anxiety Inventory (BAI) and College Counseling Assessment of Psychological Symptoms (CCAPS) to assess outcomes. Results: The results showed significant changes in scores on the BAI and the CCAPS Generalized Anxiety and Social Anxiety subscales for participants in both study conditions, and no significant differences in effectiveness of the two delivery methods. Conclusions: The findings provide support for the treatment of college students with anxiety with SFBT through online, synchronous video counseling. Limitations related to sample size and diversity are discussed