Supervision Experiences of School Counselors-in-Training: An Interpretive Phenomenological Study

Students pursuing a master’s degree in CACREP-accredited school counseling programs are required to complete supervised field experiences as a part of their course requirements. During their practicum and internships experiences, they receive university supervision by a faculty member or doctoral student supervisor, as well as site supervision at the placement site, typically from a school counselor. University supervisors may lack experience in school counseling and knowledge of the unique roles and supervision needs of school counselors. In addition, site supervisors may lack training or knowledge of clinical supervision. Furthermore, the multiple systems in which SCITs function may have differing goals and expectations for supervisees. The various factors influencing supervision may result in confusion and frustration for SCITs. The purpose of this interpretive phenomenological study was to understand the supervision experiences of SCITs enrolled in CACREP-accredited counselor education programs in Southern Louisiana universities who recently completed internship. Specifically, I sought to understand SCITs experiences with regard to university individual and group supervision, site supervision, and what influence, if any, the ASCA National Model had on their supervision experiences. After receiving IRB approval, participants were invited to participate via an email solicitation. The eight participants chosen were master’s students from CACREP-accredited counselor education programs who recently completed internship. Data were collected through individual, face-to-face, audio-recorded interviews utilizing a semi-structured interview protocol. After the interviews were transcribed, the data were analyzed using IPA data analysis procedures. The final analysis resulted in four super-ordinate themes. The findings describe the meaning of the lived experiences of SCITs with supervision. According to the results, supervision experiences, whether being reported as positive or negative, could be attributed to: impact of counselor education program, aspects related to supervisors, significance of feedback, and influence of self. The results could help inform the design of counselor education programs to more adequately prepare SCITs for school counseling as it is today. Furthermore, the results could help improve site supervision practices

Supervision Experiences of School Counselors-in-Training: An Interpretative Phenomenological Study

School counselors-in-training receive university and site supervision during their field experiences. University supervision may be provided by a faculty member or doctoral student who lacks school counseling experience. School counselors as site supervisors may not be trained to supervise. Further, the multiple systems may have differing expectations for supervisees. Interpretative Phenomenological Analysis was used to explore the lived experiences of eight master’s level school counselors-in-training with supervision. The four super-ordinate themes included: impact of counselor education program, supervisor characteristics, significance of feedback, and characteristics of the supervisee. Findings suggested programmatic changes counselor educators can make to strengthen student preparation

Dissertation Completion Experience in Online CACREP-Accredited Counselor Education Programs: A Phenomenological Inquiry

In this qualitative phenomenological study, the purpose was to explore the experiences of recent online Council for the Accreditation of Counseling and Related Educational Programs (CACREP)-accredited counselor education and supervision (CES) graduates concerning their dissertation completion process. Past research had shown a dissertation noncompletion rate 10%–20% higher in distance education programs compared to traditional institutions. Participant recruitment was facilitated by criterion sampling and snowball sampling and included seven recent graduates of online CACREP-accredited CES programs. Semi-structured interviews were used to collect data. Data analysis conducted using Smith et al.’s six-step data analysis process yielded three significant themes: dissertation task engagement, stakeholder interaction, and impact of the environment. Implications of the findings extend to improvements in dissertation readiness and socialization, meaningful experiences, and dissertation completion rates

Spinal manipulation and mobilisation in the treatment of infants, children, and adolescents: a systematic scoping review

PURPOSE: To i) identify and map the available evidence regarding effectiveness and harms of spinal manipulation and mobilisation for infants, children and adolescents with a broad range of conditions; ii) identify and synthesise policies, regulations, position statements and practice guidelines informing their clinical use. DESIGN: Systematic scoping review, utilising four electronic databases (PubMed, Embase, CINHAL and Cochrane) and grey literature from root to 4(th) February 2021. PARTICIPANTS: Infants, children and adolescents (birth to < 18 years) with any childhood disorder/condition. INTERVENTION: Spinal manipulation and mobilisation OUTCOME MEASURES: Outcomes relating to common childhood conditions were explored. METHOD: Two reviewers (A.P., L.L.) independently screened and selected studies, extracted key findings and assessed methodological quality of included papers using Joanna Briggs Institute Checklist for Systematic Reviews and Research Synthesis, Joanna Briggs Institute Critical Appraisal Checklist for Text and Opinion Papers, Mixed Methods Appraisal Tool and International Centre for Allied Health Evidence Guideline Quality Checklist. A descriptive synthesis of reported findings was undertaken using a levels of evidence approach. RESULTS: Eighty-seven articles were included. Methodological quality of articles varied. Spinal manipulation and mobilisation are being utilised clinically by a variety of health professionals to manage paediatric populations with adolescent idiopathic scoliosis (AIS), asthma, attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), back/neck pain, breastfeeding difficulties, cerebral palsy (CP), dysfunctional voiding, excessive crying, headaches, infantile colic, kinetic imbalances due to suboccipital strain (KISS), nocturnal enuresis, otitis media, torticollis and plagiocephaly. The descriptive synthesis revealed: no evidence to explicitly support the effectiveness of spinal manipulation or mobilisation for any condition in paediatric populations. Mild transient symptoms were commonly described in randomised controlled trials and on occasion, moderate-to-severe adverse events were reported in systematic reviews of randomised controlled trials and other lower quality studies. There was strong to very strong evidence for ‘no significant effect’ of spinal manipulation for managing asthma (pulmonary function), headache and nocturnal enuresis, and inconclusive or insufficient evidence for all other conditions explored. There is insufficient evidence to draw conclusions regarding spinal mobilisation to treat paediatric populations with any condition. CONCLUSION: Whilst some individual high-quality studies demonstrate positive results for some conditions, our descriptive synthesis of the collective findings does not provide support for spinal manipulation or mobilisation in paediatric populations for any condition. Increased reporting of adverse events is required to determine true risks. Randomised controlled trials examining effectiveness of spinal manipulation and mobilisation in paediatric populations are warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03781-6

Affective recognition from EEG signals: an integrated data-mining approach

Emotions play an important role in human communication, interaction, and decision making processes. Therefore, considerable efforts have been made towards the automatic identification of human emotions, in particular electroencephalogram (EEG) signals and Data Mining (DM) techniques have been then used to create models recognizing the affective states of users. However, most previous works have used clinical grade EEG systems with at least 32 electrodes. These systems are expensive and cumbersome, and therefore unsuitable for usage during normal daily activities. Smaller EEG headsets such as the Emotiv are now available and can be used during daily activities. This paper investigates the accuracy and applicability of previous affective recognition methods on data collected with an Emotiv headset while participants used a personal computer to fulfill several tasks. Several features were extracted from four channels only (AF3, AF4, F3 and F4 in accordance with the 10–20 system). Both Support Vector Machine and Naïve Bayes were used for emotion classification. Results demonstrate that such methods can be used to accurately detect emotions using a small EEG headset during a normal daily activity

Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease

Background: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. Methods: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P = 0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P = 0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P = 0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P = 0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P = 0.31). Conclusions: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering. (Funded by Novartis; CANTOS ClinicalTrials.gov number, NCT01327846.

Ophthalmology

OBJECTIVE: In the current study we aimed to identify metabolites associated with age-related macular degeneration (AMD) by performing the largest metabolome association analysis in AMD to date. In addition, we aimed to determine the effect of AMD-associated genetic variants on metabolite levels, and aimed to investigate associations between the identified metabolites and activity of the complement system, one of the main AMD-associated disease pathways. DESIGN: Case-control assocation analysis of metabolomics data. SUBJECTS: 2,267 AMD cases and 4,266 controls from five European cohorts. METHODS: Metabolomics was performed using a high-throughput H-NMR metabolomics platform, which allows the quantification of 146 metabolite measurements and 79 derivative values. Metabolome-AMD associations were studied using univariate logistic regression analyses. The effect of 52 AMD-associated genetic variants on the identified metabolites was investigated using linear regression. In addition, associations between the identified metabolites and activity of the complement pathway (defined by the C3d/C3 ratio) were investigated using linear regression. MAIN OUTCOME MEASURES: Metabolites associated with AMD RESULTS: We identified 60 metabolites that were significantly associated with AMD, including increased levels of large and extra-large HDL subclasses and decreased levels of VLDL, amino acids and citrate. Out of 52 AMD-associated genetic variants, seven variants were significantly associated with 34 of the identified metabolites. The strongest associations were identified for genetic variants located in or near genes involved in lipid metabolism (ABCA1, CETP, APOE, LIPC) with metabolites belonging to the large and extra-large HDL subclasses. In addition, 57 out of 60 metabolites were significantly associated with complement activation levels, and these associations were independent of AMD status. Increased large and extra-large HDL levels and decreased VLDL and amino acid levels were associated with increased complement activation. CONCLUSIONS: Lipoprotein levels were associated with AMD-associated genetic variants, while decreased essential amino acids may point to nutritional deficiencies in AMD. We observed strong associations between the vast majority of the AMD-associated metabolites and systemic complement activation levels, independent of AMD status. This may indicate biological interactions between the main AMD disease pathways, and suggests that multiple pathways may need to be targeted simultaneously for successful treatment of AMD

A distributed processing and cloud based tool to deal with satellite image processing for shoreline analysis

ABSTRACTThe analysis of shorelines is an important activity that can supportspecialist from several areas in decision making based on statisticalanalysis about evaluation of water segments over shorelines and theforecasting of its progress. However, to perform such analysisbased on digital images it is necessary a huge data processing.Currently an extensive data set of images are available, that can beused as a source for shoreline analysis and can be processed bycomputers through image processing algorithms. In this context,this paper presents a technical perspective of a tool for performingshoreline analysis based on satellites images named CoastalAnalyst System from Space Imagery Engine (CASSIE). This toolworks as an orchestrator of cloud-based APIs. This paper presentsthe overall architecture of this tool as well as its main use cases.The evaluation of this tool is discussed based on its usage byspecialists and the provided feedback