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.
- KvK number: 89235444.
- BTW (VAT) number: NL864918896B01 (check online at VIES)
- RSIN: 864918896
- Nedmedica is our related company which is specialized in Author Services.
- Our former branding name was Kowsarmedical Publishing (2010-2021).
Communities in Brieflands
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Recent Submissions
Application of Machine Learning in Accident Data Analysis: A Case Study Using Self-report Questionnaire
(Brieflands, 2025-06-30) Tahereh Manouchehri; Reza Fereidooni; Seyyed Taghi Heydari; Kamran Bagheri Lankarani; Seyyed Taghi Heydari [0000-0001-7711-1137]; Kamran Bagheri Lankarani [0000-0002-7524-9017]
Background: Traffic accidents remain a critical global public health issue, resulting in numerous fatalities and injuries annually. Objectives: This study aims to explore the application of machine learning (ML) in analyzing traffic accident data obtained from self-report questionnaires to identify factors influencing the incidence and severity of accidents. Methods: The study design is cross-sectional. In this study, approximately 660 participants completed the questionnaire, of which 43 were incomplete or invalid and were excluded. The remaining 617 participants answered all questions in full. Participants were selected using a convenience sampling method from five districts in Shiraz to ensure diversity, including outreach to taxi and heavy vehicle terminals. Data were collected through face-to-face questionnaires administered by trained researchers, and all responses were self-reported. The dataset collected from 617 participants includes information on demographics, vehicle and road features, personality traits, driving habits, and risky driving behavior. The questionnaire incorporated multiple validated instruments capturing driving behavior, demographics (such as age, gender, marital status, education, income), and habits (e.g., driving duration, cellphone use, fatigue, and substance use). Various ML algorithms, such as random forest and SHapley Additive exPlanations (SHAP) analysis, were employed to identify factors influencing both the occurrence and severity of accidents. Furthermore, the C5.0 algorithm was utilized to extract specific patterns, while prediction tasks were addressed using a combination of random forest, support vector machine (SVM), logistic regression, and Naive Bayes algorithms. Results: The random forest algorithm highlighted that factors such as income, driving time, working time, age, duration of non-stop driving, type of law enforcement, openness, normlessness, sensation seeking, and vehicle safety significantly influence the occurrence of accidents. For accident severity, important predictors included driving time, non-stop driving, working time, age, aggressive violations, income, road quality, type of law enforcement, driving while tired, vehicle safety, foreign car status, and vehicle comfort. Additionally, the C5.0 algorithm revealed specific patterns—such as high normlessness and extended driving hours—increasing the likelihood of accidents, while factors like low normlessness and balanced income served as protective elements. Conclusions: The findings highlight the impact of lifestyle and work-related factors, as well as certain personality traits of drivers, on the incidence and severity of accidents. While the results of the study should not be taken verbatim due to the reliance on self-reported data, the study supports the application of ML in the analysis of accident data. It also advocates for the use of strategies including social and economic interventions, psychological assessments, enhanced road safety education, and customized regulatory measures based on individual risk assessments to effectively prevent traffic accidents.
Erratum: Antiproliferative and Apoptotic Effect of Protein Hydrolysates from Lanternfish (Benthosema pterotum) on HT-29 Cell Line of Colorectal Adenocarcinoma [Jundishapur J Nat Pharm Prod. 2025; 20 (1): e149792]
(Brieflands, 2025-05-31) Maryam Shokoohmand; Hossein Zolgharnein; Mohammad Ali Salarialiabadi; Mojtaba Alishahi; Reza Safari; Mohammadreza Shushizadeh; Farzaneh sadat Motafeghi; Maryam Shokoohmand [0000-0002-0920-2798]; Hossein Zolgharnein [0000-0001-5944-3349]; Mohammad Ali Salarialiabadi [0000-0003-0833-3304]; Mojtaba Alishahi [0000-0003-1898-0230]; Reza Safari [0000-0003-2202-6140]; Mohammadreza Shushizadeh [0000-0002-7411-8947]; Farzaneh sadat Motafeghi [0000-0001-5756-7575]
This article does not have an abstract.
Echocardiographic Findings in Children with Nephrotic Syndrome Compared with the Healthy Children
(Brieflands, 2025-05-31) Simin Sadeghi-Bojd; Noor Mohammad Noori; Alireza Teimouri; Allahdad Khaleghi; Simin Sadeghi-Bojd [0000-0003-1652-6237]; Noor Mohammad Noori [0000-0002-0732-6412]; Alireza Teimouri [0000-0002-8356-4260]
Background: Nephrotic syndrome (NS) is a prevalent condition in childhood that poses significant risks, with cardiovascular events being the leading cause of morbidity and mortality in this population. Given the critical nature of cardiovascular health in NS patients, this study aims to examine echocardiographic data in affected children. Objectives: Given the critical nature of cardiovascular health in NS patients, the present study aims to examine echocardiographic data in affected children. Methods: This case-control study involved children with idiopathic NS who were referred to Ali Ibn Abi Taleb Hospital, Zahedan, Iran. Inclusion criteria were being under 18 years of age without congenital kidney disease, as well as having provided consent to participate in the study. Exclusion criteria were severe systemic diseases and secondary NS. Comprehensive echocardiographic and laboratory parameters were gathered from both patients and matched healthy controls. Biochemical assessments, including serum albumin (Alb), cholesterol (Cho), urea, and creatinine (Cr), were evaluated using spectrophotometry. The echocardiographic parameters such as Myocardial Performance Index (MPI), E/A ratio, ejection fraction (EF), and ventricular dimensions were obtained through M-mode and 2D echocardiography. Statistical analyses were performed using SPSS version 23, employing appropriate parametric and non-parametric tests, with a significance level set at P < 0.05. Results: The analysis revealed statistically significant differences in various echocardiographic variables between patients with NS and healthy subjects. These variables included the early-to-late flow velocity ratio of tricuspid (P = 0.043) and mitral (P < 0.001) valves, early flow velocity of tricuspid (P < 0.001) and mitral (P < 0.001) valves, left ventricular end-systolic (LVSD) dimension (P < 0.001), ejection time (ET) of the right (P = 0.004) and left (P = 0.008) ventricle, EF (P < 0.001), MPI of the left (P = 0.002) and right (P = 0.011) ventricles, and fractional shortening (FS) (P < 0.001). In contrast, other variables, including left ventricular end-diastolic dimension (P = 0.093), peak A velocity of the right (P = 0.232) and left (P = 0.655) did not show statistically significant differences between the groups. No significant correlations were observed between biochemical parameters (serum Alb, Cr, Cho, and urine protein-creatinine ratio) and echocardiographic parameters. Conclusions: It was concluded that children with NS may experience significant heart problems affecting both the left and right sides of the heart, even when common blood tests show no warning signs. Because these heart issues can develop quietly, without any noticeable symptoms, early heart checkups using echocardiography are strongly recommended.
Cranial Nerve Zero (CN0), True or Fiction: A Comparative Review Study on Cranial Nerves with Emphasize on CN0 Anatomy and Function
(Brieflands, 2024-12-31) Fatemeh Bagheri Tadi; Shahriyar Tork; Seyed Behnamedin Jameie; Fatemeh Bagheri Tadi [0000-0002-3416-0198]; Shahriyar Tork [0000-0001-7599-8002]; Seyed Behnamedin Jameie [0000-0003-2062-4155]
Context: Cranial nerves are integral components of the central nervous system in vertebrates. Throughout history, from the pre-Hippocratic era to 18 ADS, anatomists have debated the existence and classification of human cranial nerves. This review explores the evolution of understanding regarding cranial nerve anatomy and nomenclature. Evidence Acquisition: The literature was examined through three separate historical phases: The early macroscopic phase, the microscopic phase, and the ontogenetic and geno-architectural phase. Important contributions from prominent individuals, especially during the Galenic period, were evaluated to grasp the historical background of cranial nerve categorization. Results: The analysis revealed persistent disagreements regarding the number of cranial nerves. While contemporary anatomy recognizes 12 pairs, recent discussions have introduced the concept of a zero-numbered cranial nerve (CN0/13), further complicating the classification. Conclusions: The ongoing debate about the number of cranial nerves underscores the complexities of anatomical classification. This review highlights the need for continued research and dialogue within the anatomical community to resolve these longstanding discrepancies.
Pulmonary Involvement Severity on CT Scan and Its Correlation with Acute Kidney Injury in Hospitalized COVID-19 Patients: A Single-Institution Study
(Brieflands, 2024-12-31) Mohamad Ghazanfari Hashemi; Maryam Sadat Hosseini; Maryam Alaei; Ahmad Enhesari; Seyedeh Nooshin Miratashi Yazdi; Milad Vakili Zarch; Sahar Jalili Gouri; Fatemeh Khajehasani; Mohamad Ghazanfari Hashemi [0000-0003-4968-0396]; Maryam Alaei [0000-0002-6564-7863]
Background: The severity of lung involvement in COVID-19 patients, as assessed by computed tomography (CT), is associated with disease outcomes. While the pulmonary manifestations of the virus are well-known, less is understood about its impact on other organs, particularly the kidneys. Objectives: This study investigates the correlation between lung involvement and acute kidney injury (AKI) in COVID-19 patients. Methods: A retrospective study of 50 COVID-19 patients admitted to Afzalipour Hospital, Kerman, Iran, from April to September 2020 was conducted. Non-contrast chest CT scans were evaluated using the total severity score (TSS) to quantify lung involvement. Patients were monitored for AKI, defined by changes in serum creatinine (SCr) and urine output. Statistical analyses, including Spearman’s correlation and logistic regression, were performed using SPSS version 26 to assess the relationship between lung involvement and AKI. Results: The mean age of the 50 participants (46% male) was 46.88 ± 16.23 years. A one-unit increase in TSS was associated with a 5.099-fold increased risk of AKI (P = 0.031). A strong positive correlation was found between the severity of lung involvement and SCr levels (r = 0.959, P < 0.0001). Additionally, a one-unit increase in lung involvement raised the odds of reduced urine output by 14.04 times (P = 0.026). A significant negative correlation (r = -0.432, P = 0.022) was observed between lung severity and glomerular filtration rate (GFR). No significant correlation was found between lung involvement and electrolyte levels. Conclusions: The severity of lung involvement on CT is strongly correlated with the development of AKI in COVID-19 patients. These findings highlight the need for vigilant renal function monitoring in patients with high TSS, as severe lung damage can predispose individuals to systemic organ dysfunction, including AKI.