Brieflands

History

The company was first founded by Seyyed M. Miri and Seyed-M Alavian as an editorial group in a Medical Institute in 2007 to publish its medical journal. After three years of experience, the number of journals increased to 5 journals, and the company launched its first form of business as a VOF (collaboration) professional STM company in Heerlen, the Netherlands, which was called "Kowsarmedical Publishing." Respecting the publishing services (from submission to publishing), especially an in-house "Journal Management System," our journals increased to more than 60 STM journals between 2010 and 2019. Since 2022, "Brieflands" is the new brand name that acts as a "Science, Technical, Medical Publisher" that publishes more than 50 journals with the services provided by 97 expert employees in three different branches.


Business Profile

  • Brieflands is a Registered Trademark with record number 1454012.
  • Brieflands has been registered as a General partnership (Vennootschap onder firma) company in the Chamber of Commerce (Kamer van Koophandel) of the Netherlands since 2010.
  • Nedmedica is our related company which is specialized in Author Services. 
  • Our former branding name was Kowsarmedical Publishing (2010-2021).
 

Recent Submissions

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The Effect of Square Step Exercise (SSE) on Cognition, Perceived Physical Literacy, and Communication Skills of the Elderly
(Brieflands, 2026-02-28) Fariba Mollaei Zangi; Maryam Abdoshahi; Parvaneh Shamsipour Dehkordi; Sahar Mohammadzadeh; Fariba Mollaei Zangi [0000-0002-9386-8807]; Parvaneh Shamsipour Dehkordi [0000-0001-7750-5734]
Background: As people age, many experience declines in cognitive function, motor skills, and communication abilities, which can substantially affect their quality of life. Simple, accessible exercises, such as the Square Step Exercise (SSE), have gained attention as effective methods for improving these abilities. Objectives: The aim of this study was to investigate the effects of SSE on cognition, perceived physical literacy, and communication skills in older adults. Methods: The study sample comprised 27 elderly women and men aged 60 - 70 years (M = 62.63, SD = 2.44) from a nursing home in Tabriz. Participants were selected purposively and assigned to two groups: experimental (N = 14) and control (N = 13). The experimental group participated in a 6-week SSE training program consisting of three sessions per week, with each session lasting 70 minutes, whereas the control group continued the daily physical activities provided by the nursing home. Data were collected using the Montreal Cognitive Assessment (MoCA), the Communication Skills Questionnaire, and the Senior Perceived Physical Literacy Instrument (SPPLI). Results: The results showed that SSE had a positive effect on perceived physical literacy in older adults. The experimental group showed significant improvements in three perceived physical literacy subscales: Attitude toward physical activity (Pre: 17.79 ± 3.83; Post: 17.23 ± 3.09; P = 0.033), Ability to do physical activity (Pre: 12.93 ± 1.44; Post: 14.14 ± 1.35; P = 0.028), and Social aspects around physical activity (Pre: 5.00 ± 1.88; Post: 6.14 ± 1.75; P = 0.013). However, no significant changes were observed in cognitive function (P = 0.178) or communication skills (P = 0.144). Conclusions: Based on these results, SSE may be used to enhance perceived physical literacy in older adults. However, the short duration of the intervention and the absence of cognitive or social components may explain the lack of significant improvements in cognition and communication.
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Exploring the Impact of Supportive Interventions on Improving the Quality of Life of Children and Adolescents with Cancer: A Review Study
(Brieflands, 2025-10-31) Jalal Nourmohammadi; Mahmoud Bakhshi; Mohammadhesam Sharifi; Fereshteh Ghaljaei; Jalal Nourmohammadi [0000-0002-6071-3040]; Mahmoud Bakhshi [0000-0002-5486-7203]; Mohammadhesam Sharifi [0000-0002-2018-4711]; Fereshteh Ghaljaei [0000-0002-6910-5228]
Context: Children and adolescents with cancer often face significant physical, emotional, and social challenges that negatively affect their quality of life. Supportive interventions, including psychosocial, educational, and recreational programs, may help improve well-being in this population. Objectives: This review study aims to examine the impact of supportive interventions on the quality of life of children and adolescents with cancer by synthesizing evidence from existing studies. Data Sources: A comprehensive literature search was conducted in PubMed, Scopus, Web of Science, CINAHL, PsycINFO, Embase, and SID using Medical Subject Headings (MeSH) terms. Studies published in English from January 2000 to October 2025 were included. The search strategy was created using the PubMed keywords ("Children with cancer" OR "Adolescents with cancer") AND ("Quality of life" OR "Well-being") AND ("Supportive interventions" OR "Psychological support" OR "Social support") AND ("Pediatric oncology" OR "Cancer treatment"). Study Selection: The results of selected studies were combined to analyze the impact of supportive interventions on improving quality of life in children and adolescents with cancer. This process was carried out systematically to select and evaluate valid studies to achieve valid and scientific results in this area. Results: Supportive interventions, particularly psychosocial counseling, family-centered programs, and recreational therapies, were consistently associated with improvements in physical, emotional, and social domains of quality of life. Multi-component interventions demonstrated the most significant positive effects. Despite heterogeneity in study designs and outcome measures, evidence suggests that tailored support strategies can enhance overall well-being in pediatric oncology patients. Conclusions: Supportive interventions play a crucial role in improving the quality of life of children and adolescents with cancer. Further research using standardized outcome measures is recommended to strengthen the evidence base and guide clinical practice.
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An Examination of the Efficacy of Emotion Regulation Training on Reducing Behavioral Problems and Enhancing Academic Achievement Among High-Risk Vocational School Students
(Brieflands, 2026-03-31) Sedigheh Rezaei Dehnavi; Armina Giahi; Vajihe Rabi; Sedigheh Rezaei Dehnavi [0000-0002-2714-7665]; Armina Giahi [0009-0002-3440-2916]; Vajihe Rabi [0009-0005-5442-5164]
Background: High-risk vocational school students often experience behavioral and academic difficulties associated with poor emotion regulation. Improving emotion regulation skills may help reduce behavioral problems, such as anxiety and attention problems, and may also improve academic performance. Objectives: This study aimed to evaluate the effectiveness of emotion regulation training in reducing behavioral problems and improving academic achievement among high-risk vocational school students. Methods: This quasi-experimental study used a pretest-posttest design with a control group. The target population comprised vocational school students in Isfahan, Iran, who were identified as exhibiting risky behaviors. Using the Iranian Adolescent Risk-Taking Scale, 30 students in Grades 10 and 11 were selected through multistage cluster sampling and randomly assigned to experimental and control groups. Data were collected before and after the intervention using the Child Behavior Checklist-Youth Self-Report and academic transcripts for the 2019 - 2020 academic year. Data were analyzed using analysis of covariance in SPSS version 22. Results: Emotion regulation training significantly reduced disciplinary problems (F(1, 27) = 171.02, P = 0.002, partial η2 = 0.86) and behavioral problems (F(1, 27) = 105.58, P = 0.003, partial η2 = 0.79), and improved academic performance (F(1, 27) = 31.59, P = 0.002, partial η2 = 0.53) compared with the control group. Conclusions: Emotion regulation training appears to be effective in reducing behavioral problems and improving academic performance among high-risk vocational school students. However, given the small sample size and single-school setting, the findings should be interpreted with caution.
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Shifts in Pulmonary Nodule Detection After Stopping AI Assistance: A Retrospective Repeated-Measures Study
(Brieflands, 2025-10-31) Jianlin Wu; Junmiao Xiang; Given Michael Kihaga; Yihu Zheng; Congcong Pan; Ningjian Hou; Jianlin Wu [0009-0000-8549-5388]; Ningjian Hou [0009-0005-5664-5099]
Background: Artificial intelligence (AI) systems can improve pulmonary nodule detection, but there is concern that prolonged reliance on AI may alter visual search behavior and affect radiologists’ independent interpretive performance when AI support is withdrawn. Objectives: The objective of this study is to evaluate phase-associated changes in pulmonary nodule detection rate after discontinuation of routine AI assistance. Patients and Methods: This retrospective study included 980 chest CT examinations that had been originally interpreted before AI implementation by three senior general radiologists (phase I: Baseline clinical reporting phase, during which they had not previously used any chest CT AI assistance). After approximately 26 months of routine AI use for pulmonary nodule detection, the three participating radiologists discontinued use of the chest CT AI system for this study. Each examination was reassigned to its original reporting radiologist according to report signature and independently reread without AI on the basis of the images alone (phase II), and then reread again in the same manner after a 3-month AI-free washout period (phase III). The pulmonary nodule detection rate, defined as the proportion of scans with at least one reported nodule, and the maximum diameter of the largest reported nodule were compared across phases. Because no external lesion-level reference standard was established, the findings reflect changes in reporting rather than sensitivity or specificity. Results: The pulmonary nodule detection rate decreased from 37.8% (370/980) in phase I to 26.5% (260/980) in phase II and then increased to 43.2% (423/980) in phase III (overall P < 0.001). In a generalized estimating equation (GEE) model, using phase I as the reference, the adjusted odds of pulmonary nodule detection were significantly lower in phase II [adjusted odds ratio (aOR) 0.595, 95% confidence interval (CI) 0.530 - 0.667; P < 0.001] and significantly higher in phase III (aOR 1.253, 95% CI 1.123 - 1.398; P < 0.001). Phase III also showed higher adjusted odds of detection than phase II (aOR 2.106, 95% CI 1.874 - 2.366; P < 0.001). The phase-related difference was mainly driven by nodules with a maximum reported diameter of ≤ 5 mm. Conclusion: Discontinuation of routine AI assistance was associated with a short-term decrease in pulmonary nodule detection rate, particularly for small nodules, followed by recovery after an AI-free washout period. These findings suggest a potential vulnerability window during AI downtime or workflow transitions and highlight the need for resilient clinical workflows and performance monitoring.
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Quantitative Assessment of Bone Lesions in Prostate Cancer: Diagnostic Performance of CT Hounsfield Units in Differentiating Metastases From Benign Enostoses
(Brieflands, 2026-03-31) Tze Hui Soo; Siti Nur Atiqah Mohd Jamil; Subapriya Suppiah; Tze Hui Soo [0000-0002-4455-2515]
Background: Prostate carcinoma is the third most common malignancy among Malaysian men, and the skeleton is the most frequent metastatic site. Differentiating benign enostoses from osteoblastic metastases on computed tomography (CT) remains challenging. Although 99mTc-MDP bone scintigraphy is the gold standard, capacity constraints often delay treatment. Objectives: To evaluate the diagnostic performance of CT Hounsfield Unit (HU) measurements in differentiating these lesions and their correlation with systemic biological markers. Patients and Methods: We retrospectively evaluated 1041 sclerotic lesions (860 metastases and 181 benign enostoses) from 105 patients with prostate carcinoma. Mean HU values were recorded. Diagnostic metrics were computed at the lesion level, with adjustment for within-patient clustering using Generalized Estimating Equations (GEE). Optimal thresholds were determined using Receiver Operating Characteristic (ROC) analysis. Biological correlations with Gleason scores and Prostate-Specific Antigen (PSA) levels were analyzed using Spearman correlation and validated with GEE. Results: Mean HU demonstrated exceptional discriminatory power (area under the curve [AUC] = 0.984; 95% confidence interval [CI]: 0.975 - 0.993; P < 0.001). The optimal 944.99 HU threshold yielded 90.6% sensitivity, 97.8% specificity, and 99.5% positive predictive value (PPV). After GEE adjustment, histological Gleason grade (P = 0.098), systemic PSA (P = 0.301), and regional density differences (P > 0.05) showed no significant association with lesion density. Conclusion: Quantitative CT attenuation is a highly accurate triage adjunct. In a high-pretest-probability oncological setting, the 944.99 HU threshold confidently rules in benign enostoses, allowing clinicians to safely avoid unnecessary biopsies and optimize nuclear imaging resources.