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Showing papers in "Biomedical Journal of Scientific and Technical Research in 2022"



Journal ArticleDOI
TL;DR: Cano Ortiz A, Piñar Fuentes JC and Cano E* Author Affiliations Department of Animal, Plant and Ecology Biology Botany area, Jaen University, University Campus Las Lagunillas s/n, 23071 Jaen, Spain this paper .
Abstract: Cano Ortiz A, Piñar Fuentes JC and Cano E* Author Affiliations Department of Animal, Plant and Ecology Biology Botany area, Jaen University, University Campus Las Lagunillas s/n, Spain Received: March 03, 2022 | Published: March 11, 2022 Corresponding author: Eusebio Cano Camona, Department of Animal, Plant and Ecology Biology Botany area, Jaen University, University Campus Las Lagunillas s/n, 23071 Jaen, Spain DOI: 10.26717/BJSTR.2022.42.006765

2 citations


Journal ArticleDOI
TL;DR: Aljamali et al. as mentioned in this paper have published a paper on organic chemistry, Synthetic Chemistry Field, Iraq and its application in the field of bio-medical and medical fields.
Abstract: Nagham Mahmood Aljamali* Author Affiliations Organic Chemistry, Synthetic Chemistry Field, Iraq Received: January 21, 2022 | Published: February 01, 2022 Corresponding author: Nagham Mahmood Aljamali, Organic Chemistry, Synthetic Chemistry Field, Iraq DOI: 10.26717/BJSTR.2022.41.006616

2 citations


Journal ArticleDOI
TL;DR: It is suggested that optimal intake of vitamin B2 and B6 could be important dietary factors in prevention of CRC, and the association with vitamin B12 is inconsistent as its bioavailability is affected by other lifestyle factors.
Abstract: Methylenetetrahydrofolate Reductase; Newcastle-Ottawa Preferred Reporting for Systematic Reviews and Meta-Analyses; Quality of Life; Relative S-Adenosyl-homocysteine; S-Adenosylmethio-nine; Background: Cancer research has increased interest in lifestyle factors. These can affect colorectal cancer burden, which is the second common cause of cancer death worldwide, although 40% of the cases would be preventable. Aim: We aimed to conduct a systematic review and meta-analysis on relationship between B vitamin intake and colorectal cancer where 14 publications were analysed. Methods: We carried out a systematic search of scientific literature based on PRISMA statements. Combined effect size (CES), confident interval (CI), prediction interval (PI), I2 and publication bias were calculated during statistical analysis of selected studies. Results: Combined effect sizes showed inverse association between higher intake of vitamin B2 (CES = 0.90; CI95% 0.83 - 0.97; I2 = 0.00%, p = 0.910), B6 (CES = 0.80; CI95% 0.68-0.92; I2 = 9.17%, p = 0.359) and CRC. We could not confirm the higher dietary intake of vitamin B12 reducing the risk of CRC. Vitamin B2 and B6 could compensate the effect of MTHFR C677T polymorphism (CES = 0.81; CI95% 0.64 - 0.98; I2 = 0.00%, p = 0.515) as well. Conclusion: Our results suggest that optimal intake of vitamin B2 and B6 could be important dietary factors in prevention of CRC. The association with vitamin B12 is inconsistent as its bioavailability is affected by other lifestyle factors. Vitamin B2 and B6 could influence MTHFR enzyme activity, therefore these vitamins might be incorporated into screening process of CRC with recommendations for specific diet.

2 citations


Journal ArticleDOI
TL;DR: In this paper , the authors report some properties of heavy-tailed Sibuya-like distributions related to thinning, self-decomposability and branching processes, and show that the compound Poisson-Sibuya and the shifted Sibuaya distributions belong to this class.
Abstract: We report some properties of heavy-tailed Sibuya-like distributions related to thinning, self-decomposability and branching processes. Extension of the thinning operation of on-negative integer-valued random variables to scaling by arbitrary positive number leads to a new class of probability distributions with generating function $Q(w)$ expressible as a Laplace transform $\varphi(1-w)$ and probability mass function $p_n$ satisfying simple one step recurrence relation between $p_{n+1}$ and $p_n$. We show that the compound Poisson-Sibuya and the shifted Sibuya distributions belong to this class. Using the fact that the same Markov property is present in stationary solutions of the birth and death equations we identify the Sibuya distribution and some of its variants as particular solutions of these equations. We also establish condition when integer-valued non-negative heavy-tailed random variable has finite $r$-th absolute moment ($0

2 citations





Journal ArticleDOI
TL;DR: Rizwana Shahid, Assistant Professor Community Medicine, Rawalpindi Medical University, Pakistan as discussed by the authors , has proposed a community medicine approach for the treatment of cancer patients.
Abstract: Rizwana Shahid1*, Muhammad Umar2, Shazia Zeb3, Tabassum Mahmood4 and Farzana Fatima5 Author Affiliations 1Assistant Professor Community Medicine, Rawalpindi Medical University, Pakistan 2Vice Chancellor, Rawalpindi Medical University, Pakistan 3Medical Superintendent, Holy Family Hospital Rawalpindi, Pakistan 4AMS, Holy Family Hospital Rawalpindi, Pakistan 5WMO, Holy Family Hospital Rawalpindi, Pakistan Received: January 16, 2022 | Published: March 04, 2022 Corresponding author: Rizwana Shahid, Assistant Professor Community Medicine, Rawalpindi Medical University, Pakistan DOI: 10.26717/BJSTR.2022.42.006737

2 citations


Journal ArticleDOI
TL;DR: This review investigates the progress that has been made in the last few years in using QR codes for drug labeling, with a specific focus on the potential for 3D printing technology, including screen printing, to expedite QR code integration at the single tablet level.
Abstract: 3D Screen Printing Enables Application of Integrated QR Codes on Pharmaceutical Dosage Forms in Mass Production – A Game Changer. Biomed Quick Response (QR) codes have shown enormous potential to improve the flow of information from industry to providers and patients, by enabling access to supplemental safety data, potential drug interactions, among numerous other use-cases in real-time. Advances in 3D printing technology, such as 3D screen printing (3DSP), have allowed for mass customization of pharmaceuticals down to the single-tablet level. The integration of in-drug labeling of pharmaceuticals with unique identifying information, such as QR codes, has been shown to reduce medication errors, improve patient safety, and provide a viable mechanism for remote patient monitoring and identifying counterfeit drugs. This review investigates the progress that has been made in the last few years in using QR codes for drug labeling, with a specific focus on the potential for using 3D printing technology, including screen printing, to expedite QR code integration at the single tablet level.

2 citations



Journal ArticleDOI
TL;DR: Regular audit of BIRADS 3 metrics has the potential to provide additional insights for clinical practice management and data from varied clinical settings with input from an expert committee could help establish benchmarks for these metrics.
Abstract: Objectives BI-RADS 3 is an established assessment category in which the probability of malignancy is equal to or less than 2%. However, monitoring adherence to imaging criteria can be challenging and there are few established benchmarks for auditing BI-RADS 3 assignments. In this study, we explore some parameters that could serve as useful tools for quality control and clinical practice management. Materials and Methods This retrospective study covered a 4-year period (Jan 2014-Dec 2017) and included all women over 40 years who were recalled from a screening exam and had an initial assignment of BI-RADS 3 (probably benign) category after diagnostic workup. A follow-up period of 2 years following the assignment of BI-RADS 3 was used for quantitative quality control metrics. Results Among 135,765 screening exams, 13,453 were recalled and 1,037 BI-RADS 3 cases met inclusion criteria. The follow-up rate at 24 months was 86.7%. The upgrade rate was 7.4% (77/1,037) [CI: 5.9-9.2%] and the PPV3 was 33.8% (26/77) [CI: 23.4-45.5%]. The cancer yield was 2.51% (26/1,037) [CI: 1.64-3.65%] and did not differ (p=0. 243) from the 2% probability of malignancy. The initial BI-RADS3 per screening exam and per recall from screening were 0.76% (1,037/135,765) [CI: 0.72-0.81%] and 7.7% (1,037/13,453) [CI: 7.26-8.17%], respectively. Conclusion Regular audit of BIRADS 3 metrics has the potential to provide additional insights for clinical practice management. Data from varied clinical settings with input from an expert committee could help establish benchmarks for these metrics.

Journal ArticleDOI
TL;DR: Onwuka et al. as discussed by the authors have proposed a method to improve the performance of pure and industrial chemistry at the University of Abia State University Uturu, Nigeria by using the Bio-Joint Journal of Science and Technology (BJSTR).
Abstract: Kelechi E Onwuka1*, Precious O Emole1, Jude C Igwe1 and Okechukwu C Atasie2 Author Affiliations 1Department of Pure and Industrial Chemistry, Abia State University Uturu, Nigeria 2Department of Biochemistry, Abia State University Uturu, Nigeria Received: January 01, 2022 | Published: February 16, 2022 Corresponding author: Kelechi E Onwuka, Department of Pure and Industrial Chemistry, Abia State University Uturu, P.M.B. 2000, Nigeria DOI: 10.26717/BJSTR.2022.41.006668


Journal ArticleDOI
TL;DR: Allison Campolo, Monica Crary* and Paul Shannon Author Affiliations Alcon Research, LLC, Fort Worth, USA as discussed by the authors Received: April 18, 2022 | Published: July 05, 2022 Corresponding author: Monica Crary, Alcon research, LLC.
Abstract: Allison Campolo, Monica Crary* and Paul Shannon Author Affiliations Alcon Research, LLC, Fort Worth, USA Received: April 18, 2022 | Published: July 05, 2022 Corresponding author: Monica Crary, Alcon Research, LLC, Fort Worth, Texas, 6201 South Freeway, Fort Worth, USA DOI: 10.26717/BJSTR.2022.45.007130

Journal ArticleDOI
TL;DR: In this paper , Casesnoves et al. proposed a method to solve the problem of BJSTR and showed that the method can be used in the field of medical physics.
Abstract: Francisco Casesnoves* Author Affiliations PhD Engineering, MSc Medical Physics, Physician, Independent Research Scientist. International Association of Advanced Materials, Sweden. Uniscience Global Scientific Member, WYOMING, USA. Harjumaa, Estonia Received: December 21, 2021 | Published: January 11, 2022 Corresponding author: Francisco Casesnoves, PhD Engineering, MSc Medical Physics, Physician, Independent Research Scientist. International Association of Advanced Materials, Sweden. Uniscience Global Scientific Member, WYOMING, USA. Harjumaa, Estonia. Email:casesnoves.research.emailbox@gmail.com DOI: 10.26717/BJSTR.2022.40.006527

Journal ArticleDOI
TL;DR: Currie et al. as discussed by the authors proposed a novel approach for cancer drug development based on Hofseth BioCare, Kipervikgata 13, Ålesund, Norway.
Abstract: Crawford Currie1*, Bomi Framroze1,2, Christian Bjerknes1 and Erland Hermansen1,3 Author Affiliations 1Hofseth BioCare, Kipervikgata 13, Ålesund, Norway 2GPH Biotech LLC, Menlo Park, CA, USA 3Department of Clinical Medicine, University of Bergen, Norway Received: December 07, 2021 | Published: January 26, 2022 Corresponding author: Crawford Currie, Hofseth BioCare, Kipervikgata 13, Ålesund, Norway DOI: 10.26717/BJSTR.2022.41.006583

Journal ArticleDOI
TL;DR: Dejene et al. as discussed by the authors proposed a new TVET program at Kombolcha Agricultural TVET College, Animal Health Department, Oromia, Ethiopia with the aim of improving the quality of TVET programs.
Abstract: Ibsa Dawit1, Mebrahtu Weldegebriel2, Derara Dejene3* and Iyasu Israel3 Author Affiliations 1Sayo Woreda livestock and fishery resource and development office, Ethipia 2Hawasa University, College of Veterinary Medicine, Ethiopia 3Kombolcha Agricultural TVET College, Animal Health Department, Oromia, Ethiopia Received: January 24, 2021 | Published: February 10, 2022 Corresponding author: Derara Dejene, Kombolcha Agricultural TVET College, Animal Health Department, Oromia, Ethiopia DOI: 10.26717/BJSTR.2022.41.006661


Journal ArticleDOI
TL;DR: In this article , Cheng Xiao Hu, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Micro-elements Research Center, College of Resource and Environment, Hubei Provincial Engineering Laboratory for New Fertilizers, Huazhong Agricultural University, China
Abstract: Parashuram Bhantana1-3, Mohamed G Moussa1,2,4, Razan Malla5, Dinesh Khadka5, Ram Kumar Shrestha6, Shree Prasad Vista5, Lok Ranjan Bhatta7, Jay Kant Raut7 and Cheng Xiao Hu1,2* Author Affiliations 1Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Microelements Research Center, College of Resource and Environment, Huazhong Agricultural University, China 2Hubei Provincial Engineering Laboratory for New Fertilizers, Huazhong Agricultural University, China 3Agriculture Research Station (ARS), Nepal Agricultural Research Council, Nepal 4Soil and Water Research Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Egypt 5National Soil Science Research Center (NSSRC), Nepal Agricultural Research Council, Nepal 6College of resources and environment, Southwest University, China 7Biological Resource Unit, Faculty of Science, Nepal Academy of Science & Technology, Nepal Received: December 30, 2021 | Published: January 31, 2022 Corresponding author: Cheng Xiao Hu, Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Micro-elements Research Center, College of Resource and Environment, Hubei Provincial Engineering Laboratory for New Fertilizers, Huazhong Agricultural University, China DOI: 10.26717/BJSTR.2022.41.006612




Journal ArticleDOI
TL;DR: Sangeetha V, Supriya V, and Deepa Parvathi as mentioned in this paper , Assistant Professor, Department of Clinical Nutrition, Faculty of Allied Health Sciences, Sri Ramachandran Institute of Higher Education and Research (DU), India Deepa parvathi, Assistant professor, department of Biomedical sciences, Faculty Of Biomedical Sciences and Technology, SriRamachandra Institute of higher education and Research, India DOI: 10.26717/BJSTR.41.2022.006663
Abstract: Sangeetha V1, Supriya V2* and Deepa Parvathi V3* Author Affiliations 1Department of Clinical Nutrition, India 2Department of Clinical Nutrition, India 3Department of Biomedical Sciences and Technology, India Received: January 27, 2022 | Published: February 11, 2022 Corresponding author: Supriya V, Assistant Professor, Department of Clinical Nutrition, Faculty of Allied Health Sciences, Sri Ramachandra Institute of Higher Education and Research(DU), India Deepa Parvathi, Assistant professor, Department of Biomedical Sciences, Faculty of Biomedical Sciences and Technology, Sri Ramachandra Institute of Higher education and Research(DU), India DOI: 10.26717/BJSTR.2022.41.006663


Journal ArticleDOI
TL;DR: Criswell et al. as mentioned in this paper proposed a novel approach to the problem of brain tumor detection and showed that it is possible to detect brain tumor in a single visit to UTHSC's Department of Diagnostic and Health Sciences.
Abstract: Merri Rhodes and Sheila Criswell* Author Affiliations University of Tennessee Health Science Center, Department of Diagnostic and Health Sciences, USA Received: May 17, 2022 | Published: May 31, 2022 Corresponding author: Sheila Criswell, UTHSC, Department of Diagnostic and Health Sciences, 930 Madison Avenue Suite 670 Memphis, TN 38163, USA DOI: 10.26717/BJSTR.2022.44.007017

Journal ArticleDOI
TL;DR: Feyisola Olajire Akinsehinwa*, Adetayo Olaniyi Adeniran, Samuel Oluwaseyi Olorunfemi and Olamilekan Matthew Aina Author Affiliations Department of Logistics and Transport Technology, Federal University of Technology Akure, Nigeria Received: January 13, 2022 | Published: February 08, 2022 Corresponding author: Feyisola O. Akinseirinwa, Department of LTL, University of Lagos, Nigeria DOI: 10.26717/BJSTR.2022 as discussed by the authors
Abstract: Feyisola Olajire Akinsehinwa*, Adetayo Olaniyi Adeniran, Samuel Oluwaseyi Olorunfemi and Olamilekan Matthew Aina Author Affiliations Department of Logistics and Transport Technology, Federal University of Technology Akure, Nigeria Received: January 13, 2022 | Published: February 08, 2022 Corresponding author: Feyisola Olajire Akinsehinwa, Department of Logistics and Transport Technology, Federal University of Technology Akure, Nigeria DOI: 10.26717/BJSTR.2022.41.006646

Journal ArticleDOI
TL;DR: Ablameyko et al. as discussed by the authors proposed a method to improve the performance of the authors of this paper by using the BJSTR model and showed that it can be applied to the literature.
Abstract: M Ablameyko* and N Shakel Author Affiliations Belarusian State University, Belarus Received: June 08, 2022 | Published: July 04, 2022 Corresponding author: M Ablameyko, Belarusian State University, Minsk,220030, Belarus DOI: 10.26717/BJSTR.2022.44.007128

Journal ArticleDOI
TL;DR: Saeb et al. as discussed by the authors proposed a method for plant biology at the Islamic Azad University in Iran to solve the problem of water scarcity and water scarcity in the field of plant biology.
Abstract: Nazli Tizro1, Keivan Saeb2* and Atif Khurshid Wani3 Author Affiliations 1Department of the Environment, College of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Iran 2Department of Plant Biology, Tonekabon Branch, Islamic Azad University, Iran 3School of Bioengineering and Biosciences, Lovely Professional University, India Received: August 17, 2022 | Published: August 25, 2022 Corresponding author: Keivan Saeb, Department of Plant Biology, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran DOI: 10.26717/BJSTR.2022.45.007263

Journal ArticleDOI
TL;DR: TRadiomics as mentioned in this paper is a new term in radiology that refers to the extraction of a large number of quantitative information from medical pictures, which can be combined with Artificial Intelligence (AI).
Abstract: TRadiomics is a new term in radiology that refers to the extraction of a large number of quantitative information from medical pictures. Artificial intelligence (AI) is a wide term for a collection of advanced computing algorithms that, in essence, analyze patterns in data to make predictions on previously unknown data sets. Because of its superior ability to handle large amounts of data as compared to traditional statistical methods, it can be combined with AI.