Using Whale Optimization Algorithm and Haze Level Information in a Model-Based Image Dehazing Algorithm.

Single image dehazing has been a challenge in the field of image restoration and computer vision. Many model-based and non-model-based dehazing methods have been reported. This study focuses on a model-based algorithm. A popular model-based method is dark channel prior (DCP) which has attracted a lot of attention because of its simplicity and effectiveness. In DCP-based methods, the model parameters should be appropriately estimated for better performance. Previously, we found that appropriate scaling factors of model parameters helped dehazing performance and proposed an improved DCP (IDCP) method that uses heuristic scaling factors for the model parameters (atmospheric light and initial transmittance). With the IDCP, this paper presents an approach to find optimal scaling factors using the whale optimization algorithm (WOA) and haze level information. The WOA uses ground truth images as a reference in a fitness function to search the optimal scaling factors in the IDCP. The IDCP with the WOA was termed IDCP/WOA. It was observed that the performance of IDCP/WOA was significantly affected by hazy ground truth images. Thus, according to the haze level information, a hazy image discriminator was developed to exclude hazy ground truth images from the dataset used in the IDCP/WOA. To avoid using ground truth images in the application stage, hazy image clustering was presented to group hazy images and their corresponding optimal scaling factors obtained by the IDCP/WOA. Then, the average scaling factors for each haze level were found. The resulting dehazing algorithm was called optimized IDCP (OIDCP). Three datasets commonly used in the image dehazing field, the RESIDE, O-HAZE, and KeDeMa datasets, were used to justify the proposed OIDCP. Then a comparison was made between the OIDCP and five recent haze removal methods. On the RESIDE dataset, the OIDCP achieved a PSNR of 26.23 dB, which was better than IDCP by 0.81 dB, DCP by 8.03 dB, RRO by 5.28, AOD by 5.6 dB, and GCAN by 1.27 dB. On the O-HAZE dataset, the OIDCP had a PSNR of 19.53 dB, which was better than IDCP by 0.06 dB, DCP by 4.39 dB, RRO by 0.97 dB, AOD by 1.41 dB, and GCAN by 0.34 dB. On the KeDeMa dataset, the OIDCP obtained the best overall performance and gave dehazed images with stable visual quality. This suggests that the results of this study may benefit model-based dehazing algorithms.

Adapting dialectical behavior therapy in Mandarin-speaking Chinese patients with borderline personality disorder: An open pilot trial in Taiwan.

INTRODUCTION: Dialectical behavior therapy (DBT) is the most commonly used treatment for patients suffering from borderline personality disorder (BPD). However, data on its applications in Asian countries remain lacking. This pilot study aims to evaluate the feasibility and effectiveness of applying Mandarin-translated DBT among suicidal Chinese patients with BPD in Taiwan. METHODS: An open-label trial design was implemented for the 1-year standard DBT model. Patients from a psychiatric outpatient department in a general hospital in Taiwan with a history of ≥2 episodes of suicidal behavior within the previous year and who scored >40 on the Borderline Symptom List were invited to participate in this trial. Outcomes of suicidal behaviors, severity of BPD and depression symptoms, suicidal ideation, hopelessness, and quality of life were assessed at the beginning of the treatment and every 3 months until 12 months. RESULTS: Eighteen patients participated, three of whom (16.7%) dropped out. Significant improvements were found in the frequency and severity of suicidal behaviors and ideations, depressive symptoms, and BPD symptoms beginning as early as the third month after initiating DBT. DISCUSSION: This pilot study found that DBT may be an effective and feasible intervention for Mandarin-speaking individuals with a recent history of suicidal behaviors with BPD. Future randomized controlled trials with comparison groups are needed to further determine the efficacy of DBT on this population.

A Randomized Controlled Trial of Transcultural Validation of Group-Based Psychosocial Intervention for Patients with Bipolar Disorder.

Adjunctive psychosocial interventions are part of the preferred method to treat bipolar disorder (BD). This study aimed to conduct a randomized control and protocol-guided trial, in order to evaluate the feasibility and effectiveness of adjunctive group-based treatments for Chinese outpatients with BD. A single-blind trial in which 68 outpatients with BD were randomly assigned to either treatment as usual (TAU) or to an experimental group with 12 additional weekly sessions and 3 monthly booster sessions. Participants were assessed at baseline for mood condition, suicidal ideation, medication adherence, and quality of life (QoL), with follow-up assessments every 3 months over a 1-year period. The overall retention rate of this study was 89.7%. The results showed significant differences between groups for the variables evaluated, which included achieving euthymia, decrease of depression symptoms, and improvement of QoL. No improvements in medication adherence, reduction in manic symptoms, or suicidal ideation was observed. The results of this study support the transcultural validity and efficacy of group-based psychosocial intervention as anadjunct to TAU among Chinese outpatients with BD to promote improvements during the course of the illness including achieving euthymia, reducing depressive symptoms, and improving QoL.