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Impact of Selected Lifestyle Factors on Semen Quality in Iraqi Men 伊拉克男性生活方式因素对精液质量的影响
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v16i01.001
Izdihar Nsaif Ali
Background: Millions of people in their reproductive years are affected by infertility around the globe, which has consequences for their families and communities. Presently, various factors related to lifestyle (such as age, BMI, and smoking) are greatly responsible for male infertility. The primary goal of performing a semen analysis is to evaluate a man's ability to fertilize, estimate his fertility, and this process is comparatively easier, less invasive, and cheaper than examining the female. Objectives: In Iraqi males of infertile couples, this study aims to establish the correlation between paternal age, body mass index, and smoking habit, and its impact on semen parameters. Materials and Methods: During their attendance at a private infertility clinic from July 2021 to October 2022, a total of 120 couples struggling with infertility took part in the study. The males were subjected to semen analysis, following the guidelines set by WHO-1999. The study aimed to assess the impact of factors such as paternal age, body mass index, and smoking habits on semen parameters. These factors were then subjected to statistical testing to determine their significance. Results: Secondary infertility, the most prevalent among all infertile couples (n=69), is characterized by inversely related sperm parameters when considering the duration of infertility. The decrease in sperm concentration, rapid progressive motility, and normal morphology resulting from the impact of aging process, body weight, and smoking habit was found to be statistically significant (p-value
背景:全球数以百万计处于生育年龄的人受到不孕症的影响,这对他们的家庭和社区产生了影响。目前,与生活方式有关的各种因素(如年龄、体重指数和吸烟)是男性不育的主要原因。进行精液分析的主要目的是评估男性的受精能力,估计他的生育能力,这个过程相对来说更容易,侵入性更小,比检查女性更便宜。目的:在伊拉克不育夫妇中,本研究旨在建立父亲年龄、体重指数和吸烟习惯之间的相关性及其对精液参数的影响。材料和方法:在2021年7月至2022年10月期间,共有120对患有不孕症的夫妇参加了这项研究。根据世卫组织1999年制定的指导方针,对这些男性进行精液分析。该研究旨在评估父亲年龄、体重指数和吸烟习惯等因素对精液参数的影响。然后对这些因素进行统计检验以确定其显著性。结果:继发性不孕症是所有不孕夫妇中最常见的(n=69),在考虑不孕持续时间时,其特征是精子参数呈负相关。由于衰老过程、体重和吸烟习惯的影响,精子浓度下降、运动速度加快和形态正常具有统计学意义(p值)
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引用次数: 0
EMPLOYABILITY OF DEEP LEARNING TOOLS AND TECHNIQUES IN THE EARLY DETECTION AND DIAGNOSIS OF LUNG CANCER 深度学习工具和技术在肺癌早期检测和诊断中的就业能力
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i01.020
Arnav Chawla
These researchers assume that the mortality rate of individuals because of lung breakdown. One of the significant causes is smoking cigarettes, which have cancer-causing agents that harm the cells that streak the lungs. Early conclusion and treatment of the infection is an imperative way to deal with beating this disease. The proposed paper explores various perspectives on determining the carcinogenic lung module through research reviews. It intends to present a graphical processing unit (GPU) for the sped-up continuous discovery of cellular research in the lungs utilizing deep learning come closer from x-ray, CT-scan and bronchoscopy images.
这些研究人员假设,由于肺衰竭的个体死亡率。其中一个重要原因是吸烟,它含有致癌物质,会损害肺部的细胞。早期诊断和治疗感染是应对这一疾病的必要途径。本文拟通过研究综述探讨确定致癌性肺模块的各种观点。
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引用次数: 0
INTERNATIONAL JOURNAL OF RESEARCH IN MEDICAL SCIENCES & TECHNOLOGY 国际医学科学与技术研究杂志
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.004
Dler Jala Ramzan Sulaivani, Mooner Ramadan Yasin, Dr Thamir A Zahwan
A field experiment was carried out during the winter season 2012-2013 in fields of Agriculture College - University of Tikrit, to study the effect of addition levels of Organic and chemical Fertilization on the special characterizes for the growth, yield seeds, of fennel (Foeniculum vulgare L.) by using Organic Fertilization (cow manure) with two levels (0, 6 ton. hectar-1 ,cow manure) and chemical Fertilization(Phosphors) in the form of Triple super phosphate (21 % P2O5) with two levels (0, 100 kg. hectar-1 ) and it's interactions, The experiment carried out based on the system of testing the factorial experiment has been used according to randomized complete block design (R.C.B.D) with three replications. The results can be summarized as follow: The treatment (M1) (6 ton. hectar-1 cow manure) apparent highest average in an increasing percentage on all characterizes, plant height (11.12%), dry weight (24.47%), the number of flowers umbels (24.25%). the addition Phosphors during (P1) (100 kg. hectar-1 ) treatments gave highest percent in, plant height ( 4.61% ), the number of flowers umbels (8.11%)
2012-2013年冬季,在提克里特大学农学院大田,采用2个水平(0.06吨)的有机肥(牛粪),研究有机肥和化肥添加水平对茴香生长特性和产量种子的影响。1公顷,牛粪)和化学施肥(磷光剂),以三超磷酸盐(21% P2O5)的形式,两个水平(0,100公斤)。试验采用随机完全区组设计(rr . b . d),重复3次。结果总结如下:处理(M1)(6吨)。每公顷牛粪中,株高(11.12%)、干重(24.47%)、花伞形花序数(24.25%)的表观平均增长率最高。在(P1)期间添加的荧光粉(100 kg)。在株高(4.61%)和花、伞形花序(8.11%)方面,各处理的比例最高。
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引用次数: 0
The Extraction of Wild Mushrooms (Ganoderma Lucidum and Phellinus Torulosus) and Their Antioxidant Activities 野生蘑菇(灵芝和灵芝)的提取及其抗氧化活性研究
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.005
Mooner Ramadan Yasin, Dler Jala Ramzan Sulaivani, M. Alma
The purpose of this study was to find DPPH (1,1-diphenyl-2-picrylhydrazyl) scavenging activities and the extract yields of two mushroom species, namely, Ganoderma lucidum (stored) and Phellinus torulosus (fresh). For the extraction of both mushroom bodies, methanol was used as solvent by using Blois extraction methods. The antioxidant activities of extracts were measured by UV-vis spectrophotometer at 517 nm. Butylated hydroxytoluene (BHT) was employed as a reference antioxidant. In conclusion, the highest DPPH scavenging activity (96.4%) was found in the body of Ganoderma lucidum while the lowest DPPH scavenging activity value (92.58%) was found for that of Phellinus torulosus. The DPPH scavenging power of the whole extract studied here was higher than that of BHT.
本研究的目的是测定贮藏型灵芝(Ganoderma lucidum)和鲜生型白灵芝(Phellinus torulosus)两种蘑菇的DPPH (1,1-diphenyl-2- picryylhydrazyl)清除活性和提取量。以甲醇为溶剂,采用Blois法提取两种菌体。采用517 nm紫外-可见分光光度法测定提取物的抗氧化活性。以丁基羟基甲苯(BHT)作为参考抗氧化剂。结果表明,灵芝对DPPH的清除率最高(96.4%),环毛菌对DPPH的清除率最低(92.58%)。所研究的全提取物对DPPH的清除能力高于BHT。
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引用次数: 0
Agryasangraha – A Cluster of Drugs, Diet & Deeds (Primordial & Quintessentials) as Envisioned in Ayurveda 阿育吠陀所设想的一组药物、饮食和行为(原始和精华)
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v13i01.004
Dr A R V Murthy, A. Deshpande
The term ‘Agrya’ refers to leading or primary and „Sangraha‟ refers to collection, Agryasangraha literally translated applies to mean collection of leading or principal substances. Agryasangraha in fact comprises of single drugs, food articles or regimen which are either wholesome or unwholesome in the given context. The expression „Agrya’ was first coined by Charaka the ancient Ayurveda physician of great eminence. There is a detailed discriprition of Agryas in Charak Samhita, written around 1000 BC that has pioneered this concept of Agryasangraha. The text has discussed the concept in sutrasthana [the first section of the text] where in a number of primordial materials [Agrya] have been mentioned. Among the other Ayurveda texts only Ashtanga Sangraha and Ashtang Hridaya written around 3rd / 7 th century AD have conceived the concept and have made few additions to the collection of Charaka. Ashtang sangraha has mentioned it in 13th Chapter of sutrasthana whereas Ashtang Hridaya has mentioned it in uttarasthana 40th Chapter.
“agryya”指的是主要的或主要的物质,“Sangraha”指的是集合,Agryasangraha直译过来是指主要或主要物质的集合。事实上,Agryasangraha包括单一的药物、食品或养生法,在特定的背景下,这些药物、食品或养生法要么有益健康,要么有害健康。“阿格里亚”这个词最初是由古代阿育吠陀的杰出医生查拉卡创造的。在公元前1000年左右写的《查拉克·萨姆希塔》(Charak Samhita)中有对Agryasangraha的详细描述,开创了Agryasangraha的概念。文本在sutrasthana(文本的第一部分)中讨论了这个概念,在一些原始材料[Agrya]中被提到。在其他阿育吠陀文献中,只有写于公元3 / 7世纪左右的《阿什汤僧伽》和《阿什汤赫里达雅》构思了这个概念,并对《查拉卡》的收藏做了一些补充。阿什唐僧伽在《上拉萨那》第13章提到了它,而阿什唐僧伽在《北拉萨那》第40章提到了它。
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引用次数: 0
Leveraging Machine Learning Tools and Techniques for the Pre-Emptive Detection, Classification and Diagnosis of Bone-Fractures 利用机器学习工具和技术对骨折进行先发制人的检测、分类和诊断
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.011
Vanshika Batra
Technologies that are developing quickly are constantly emerging in several fields, particularly the medical one. However, certain old-fashioned techniques are still frequently employed and productive. This is one of these approaches. X-rays are used to spot broken bones. The number of fractures can, however, occasionally be negligible and obscure. Systems that are effective and intelligent should be developed. In this investigation, a synthetic categorization system is being developed to classify bone fractures. The system that has been created consists of two main steps. The images of In the first stage, the fractures are processed using several image processing algorithms to determine their location and forms. The back propagation neural network is trained on the processed images before being used in the classification step, which comes next. The experiment tested the method on various images of bone fractures, and the results show high performance and a rate of categorization.
在一些领域,特别是医疗领域,发展迅速的技术不断涌现。然而,某些过时的技术仍然经常被使用,而且很有成效。这是其中一种方法。x光是用来发现骨折的。然而,骨折的数量有时可以忽略不计和模糊。应该开发有效和智能的系统。在本研究中,正在开发一种综合分类系统来对骨折进行分类。所创建的系统由两个主要步骤组成。在第一阶段,使用几种图像处理算法对裂缝进行处理,以确定裂缝的位置和形式。反向传播神经网络在处理后的图像上进行训练,然后用于下一步的分类步骤。实验对不同类型的骨折图像进行了测试,结果表明该方法具有较高的分类性能和分类率。
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引用次数: 0
The Correlation between Age and Coronavirus Infections 年龄与冠状病毒感染的相关性
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.008
Faten Al-Tai, M. Al-Hamdany
The global outbreak of coronavirus (COVID-19) in 2019 has attracted worldwide attention and increased concerns due to the rapid spread and progression of the disease. Despite the higher risk of death which is linked with COVID-19 in elderly patients, few studies have focused on how the clinical features and prognosis of COVID-19 patients differ between different age groups including 50 years, 50 to 60 years, and people aged above 60. A thorough assessment of age allows physicians to risk-stratify all COVID-19 patients regardless of where they are, as studies have shown that the clinical presentation and prognosis of the disease differ between age groups. Patients over 60 years of age have worse disease severity, more severe clinical symptoms and longer disease duration compared to those under 60 years of age. One of the major challenges facing public health and clinical experts during a pandemic is the diversity of disease severity. Understanding morbidity and mortality by age associated with COVID-19 is critical, as it affects treatment choices, prognostic expectations, and triage. This analysis concluded that patient clinical characteristics and disease prognosis change with age and that careful age assessment can help clinicians worldwide to risk-stratify all COVID-19 patients. In the present review, we do focus on the relationship between ageing and diseases profile or associated morbidities.
2019年全球爆发的新型冠状病毒病(COVID-19)因其迅速传播和发展而引起了全世界的关注和担忧。尽管老年患者与COVID-19相关的死亡风险较高,但很少有研究关注不同年龄组(50岁、50至60岁和60岁以上人群)COVID-19患者的临床特征和预后差异。全面的年龄评估使医生能够对所有COVID-19患者进行风险分层,无论他们身在何处,因为研究表明,该疾病的临床表现和预后在年龄组之间存在差异。与60岁以下患者相比,60岁以上患者疾病严重程度更差,临床症状更严重,病程更长。在大流行期间,公共卫生和临床专家面临的主要挑战之一是疾病严重程度的多样性。了解与COVID-19相关的年龄发病率和死亡率至关重要,因为它会影响治疗选择、预后预期和分诊。该分析的结论是,患者的临床特征和疾病预后随年龄而变化,仔细的年龄评估可以帮助世界各地的临床医生对所有COVID-19患者进行风险分层。在目前的回顾中,我们确实关注衰老与疾病概况或相关发病率之间的关系。
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引用次数: 0
CREATING CORNEAL STEM CELLS WITH A THEROREVERSIBLE GELATION POLYMER 用可逆性凝胶聚合物制造角膜干细胞
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i01.023
Abhijeet S. Pohekar, N. Gupta
Introduction: Recent technological advancements in single-cell RNA sequencing and single-cell quantitative real-time PCR have enabled researchers to conduct single-cell analyses of limbal epithelial cells. Aim of the study: the main aim of the study is to Cultivating corneal stem cells with a thermoreversible gelation polymer Material and method: Each human limbal biopsy were placed in 1 mL of TC medium containing 3% FCS, antibiotics (penicillin, gentamicin, and amphotericin B), and DMEM, and then transported to a cell biology lab. Conclusion: The thermoreversible gelation polymer facilitates the growth of limbal epithelial cells. The limbal characteristic could still be seen in the grown cells
最近单细胞RNA测序和单细胞实时定量PCR技术的进步使研究人员能够对角膜缘上皮细胞进行单细胞分析。研究目的:本研究的主要目的是用热可逆凝胶化聚合物培养角膜干细胞材料和方法:将每个人角膜缘活检组织置于1ml含有3% FCS、抗生素(青霉素、庆大霉素、两性霉素B)和DMEM的TC培养基中,然后运送到细胞生物学实验室。结论:热可逆凝胶化聚合物有利于角膜缘上皮细胞的生长。在生长的细胞中仍能看到边缘特征
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引用次数: 0
DEVELOPING A SMART COVID-19 TESTING MANAGEMENT BY LEVERAGING THE RELATED DATA ON THE CLOUD ENVIRONMENT 利用云环境中的相关数据,开发新型冠状病毒智能检测管理
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v11i02.024
Shreya Bhardwaj
One of the most important instruments utilized in testing labs is the COVID-19 Testing Management System. It is, for the most part, used to oversee Coronavirus clinical labrelated exercises. For this project, we attempted to develop a computerized and webbased Cloud COVID-19 Testing management system. This system is designed to overcome all diagnostics management challenges, which were previously handled locally and manually. Our primary goal is to make it possible for this application to be utilized in the majority of COVID-19 retailing labs. Each COVID-19 lab will require a small amount of customization during the implementation period. The System is an application for managing online COVID-19 labs that displays various online COVID-19 tests. It will oversee all COVID-19 lab-related activities that maximize profit and productivity. We will be able to record all transactions made during the daily tests with the aid of this System; acknowledge each customer, worker, etc. Because all transactions are recorded in the System, there will also be less chance of getting lost.
检测实验室使用的最重要的工具之一是COVID-19检测管理系统。在很大程度上,它被用来监督冠状病毒临床实验室相关的练习。在这个项目中,我们尝试开发一个计算机化的、基于web的云COVID-19检测管理系统。该系统旨在克服所有诊断管理方面的挑战,这些挑战以前都是在本地手动处理的。我们的主要目标是使该应用程序能够在大多数COVID-19零售实验室中使用。在实施期间,每个COVID-19实验室都需要进行少量定制。该系统是一款用于管理在线COVID-19实验室的应用程序,显示在线的各种COVID-19测试。它将监督所有与COVID-19实验室相关的活动,以最大限度地提高利润和生产力。在这套系统的协助下,我们将能够记录每日测试期间的所有交易;感谢每一位客户、员工等。因为所有的交易都记录在系统中,所以丢失的机会也会减少。
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引用次数: 0
Employability of Machine Learning Tools and Techniques in the Early Detecting Diagnosis and Comparative Study of ‘Diabetic Retinopathy’ 机器学习工具和技术在“糖尿病视网膜病变”早期检测诊断和比较研究中的可用度
Pub Date : 1900-01-01 DOI: 10.37648/ijrmst.v14i01.010
Apoorva Khera
Untreated diabetic retinopathy, a condition received by unmanaged constant diabetes, can bring about complete visual impairment. To keep away from the serious symptoms of diabetic retinopathy, early clinical analysis of diabetic retinopathy and its clinical treatment are basic. Ophthalmologists should invest a great deal of energy in diagnosing diabetic retinopathy, and patients should get through a ton of pain initially. With machine invention, we can quickly distinguish diabetic retinopathy and helpfully proceed with treatment to forestall further harm to the eye. Exudates, haemorrhages, and microaneurysms are three elements that this study recommends removing while employing AI. These techniques are then characterized by a classifier, which joins support vector machines and Knn.
糖尿病视网膜病变是一种未经治疗的持续性糖尿病,可导致完全的视力损害。为了避免糖尿病视网膜病变的严重症状,早期的临床分析和临床治疗是糖尿病视网膜病变的基础。眼科医生应该在诊断糖尿病视网膜病变上投入大量精力,患者最初应该经历大量的痛苦。随着机器的发明,我们可以快速区分糖尿病视网膜病变,并有效地进行治疗,以防止对眼睛的进一步伤害。渗出物、出血和微动脉瘤是本研究建议在使用人工智能时去除的三个因素。这些技术然后由一个分类器来表征,它将支持向量机和Knn结合起来。
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引用次数: 0
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International Journal of Research in Medical Sciences and Technology
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