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 Repository
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Recent Submissions
Item
Comparison of Characteristics and Outcomes of Hepatitis B and Hepatitis C Patients in the Fars Hepatitis Registry
(Brieflands, 2024-12-31) Ali Reza Safarpour; Sara Shojaei-Zarghani; Leila Rahmati; Yousef Nikmanesh; Gholam Reza Sivandzadeh; Lida Ahmadi; Saeid Amirizadeh; Mohammad Reza Fattahi
Background: Hepatitis, which refers to liver inflammation, can have various causes, with viral hepatitis being the most common. Objectives: This study aimed to compare demographic and laboratory variables, risk factors, and outcomes between Hepatitis B (HBV) and Hepatitis C (HCV) patients in the Fars hepatitis registry. Methods: In this cross-sectional study, a total of 6,690 eligible patients, consisting of 3,840 (57.4%) with HBV and 2,820 (42.6%) with HCV, were assessed from the database covering the period from 1995 to 2023. Comparisons between HBV and HCV were made using the Chi-square test, Fisher's exact test, or independent sample t-test with SPSS software. Results: The average age of the patients was 52.56 years (standard deviation: 13.24). Significant differences were found between HBV and HCV patients regarding sex, marital status, education level, family history of HBV and HCV, smoking status, drug use, and body mass index (P < 0.001 for all). Hepatitis B patients had a higher prevalence of dental procedures (P < 0.001) and uncertain sexual contacts (P = 0.009), while blood transfusion, intravenous drug use, major thalassemia (P < 0.001 for all), tattoos (P = 0.004), and hemodialysis (P = 0.001) were more common in HCV patients. Hepatitis C patients showed higher levels of liver enzymes (P < 0.001) and total bilirubin (P = 0.002) but lower levels of albumin (P < 0.001) and prothrombin time (P = 0.034) compared to HBV patients. Cirrhosis was also more common in HCV patients (P < 0.001). Conclusions: Our findings highlight different patterns of demographic factors, risk factors, and outcomes between HBV and HCV patients, which could influence their prevention and management strategies.
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The Effect of Seven Mental Training Sessions on Developing Roundoff and Back Handspring Skills on Men's Artistic Gymnastics
(Brieflands, 2024-12-31) Hameed Hammad Khalaf; Manaf Majid Hassan; Mohammed Sadiq Ahmed
Background: Beginner gymnasts face challenges when performing roundoff and back handspring skills, particularly in connecting the final stage of the roundoff with the initial stage of the back handspring. These difficulties arise when there is a lack of clarity in the mental image of the performance sequence, leading to inconsistent execution and, ultimately, failure. Objectives: This study investigates the effect of seven mental training sessions on beginner gymnasts learning the roundoff and back handspring skills. Methods: Sixty-two beginner gymnasts, aged 21 - 22 years, participated in the study. They were randomly assigned to two groups: Control and experimental. The mental training sessions were provided to the experimental group during the instructional sessions, with each session lasting 14 minutes and 30 seconds. The sessions consisted of three parts: Relaxation exercises, controllable control exercises, and mental imagery exercises for performance. These sessions were conducted over a period of seven weeks. The roundoff and back handspring skills were assessed using the Kinematic Coherence Scale for body parts. Results: The Kinematic Coherence Scale demonstrated a significant difference and greater improvement in the experimental group compared to the control group. Conclusions: We concluded that the seven mental training sessions improved the kinematic coherence of the experimental group in performing the roundoff and back handspring skills, enabling them to connect the two skills with a higher degree of movement coherence.
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Advancements and Applications of Artificial Intelligence in Pharmaceutical Sciences: A Comprehensive Review
(Brieflands, 2024-12-31) Negar Mottaghi-Dastjerdi; Mohammad Soltany-Rezaee-Rad
Artificial intelligence (AI) has revolutionized the pharmaceutical industry, improving drug discovery, development, and personalized patient care. Through machine learning (ML), deep learning, natural language processing (NLP), and robotic automation, AI has enhanced efficiency, accuracy, and innovation in the field. The purpose of this review is to shed light on the practical applications and potential of AI in various pharmaceutical fields. These fields include medicinal chemistry, pharmaceutics, pharmacology and toxicology, clinical pharmacy, pharmaceutical biotechnology, pharmaceutical nanotechnology, pharmacognosy, and pharmaceutical management and economics. By leveraging AI technologies such as ML, deep learning, NLP, and robotic automation, this review delves into the role of AI in enhancing drug discovery, development processes, and personalized patient care. It analyzes AI's impact in specific areas such as drug synthesis planning, formulation development, toxicology predictions, pharmacy automation, and market analysis. Artificial intelligence integration into pharmaceutical sciences has significantly improved medicinal chemistry, drug discovery, and synthesis planning. In pharmaceutics, AI has advanced personalized medicine and formulation development. In pharmacology and toxicology, AI offers predictive capabilities for drug mechanisms and toxic effects. In clinical pharmacy, AI has facilitated automation and enhanced patient care. Additionally, AI has contributed to protein engineering, gene therapy, nanocarrier design, discovery of natural product therapeutics, and pharmaceutical management and economics, including marketing research and clinical trials management. Artificial intelligence has transformed pharmaceuticals, improving efficiency, accuracy, and innovation. This review highlights AI's role in drug development and personalized care, serving as a reference for professionals. The future promises a revolutionized field with AI-driven methodologies.
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Comparing the Effect of Ondansetron , Dexamethasone and There Combonition in Reducing Postoperative Nausea and Vomiting (PONV) After Hysterectomy, a Single-Blind Randomized Clinical Trial Study
(Brieflands, 2024-01-31) Mohammadreza Moonesan; Sanaz Ghenaati; Elham Saffarieh; Majid Mirmohammadkhani; Babak Hosseinzadeh Zoroofchi
Background: Hysterectomy is one of the most commonly surgeries in women and has some complications like as other surgeries including nausea and vomiting. Different drugs have been used to reduce this complication.
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Association Between Elevated Serum Histidine Decarboxylase and Tumor Necrosis Factor-Alpha Levels and High Risk in tic Disorder Children
(Brieflands, 2024-10-16) Xingxue Yan; Jinshi Yu; Yingying Yu; Yaodong Zhang
Background: Children with tic disorder (TD) have been reported to exhibit abnormal levels of certain peripheral proteins, but none of these abnormalities have been established as biomarkers for diagnosis. Objectives: The purpose of this study is to evaluate serum histidine decarboxylase (HDC) and tumor necrosis factor-alpha (TNF-α) levels in children with TD, assess their relationship with TD development, and provide reliable biomarkers for prediction and risk management in clinical settings. Methods: In the present study, serum HDC and TNF-α levels from 118 no-comorbid and medication-naive TD patients and 111 age-matched healthy controls were measured using enzyme-linked immunosorbent assay (ELISA) kits. Tic severity was assessed using the Yale Global Tic Severity Scale (YGTSS). Binary logistic regression analysis was used to evaluate the relationship between serum HDC and TNF-α levels and TD development. Results: An increase in serum HDC and TNF-α levels was observed in TD patients compared with controls. Further analysis revealed a significant association between elevated HDC and TNF-α levels and TD development, with a significant ROC curve for HDC and TNF-α as potential risk factors. Conclusions: This study identified a high prevalence of elevated serum HDC and TNF-α levels in children with TDs and provides evidence that elevated blood HDC and TNF-α may be potential risk factors for TD development.