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Unveiling the Placebo Effect: How Belief Shapes Relief in Low Back Pain 揭示安慰剂效应:信念如何影响腰痛的缓解
Pub Date : 2024-05-14 DOI: 10.47667/ijpasr.v5i2.298
Aiham Gotani
Low back pain is a complex condition that is influenced by biological, psychological and social factors and poses considerable challenges for effective treatment. The biopsychosocial model of pain emphasizes the importance of incorporating various factors into treatment strategies. In this context, the placebo effect emerges as a remarkable phenomenon that offers insights into the interplay of persuasion and relief in the treatment of low back pain. This paper explores the multifaceted nature of low back pain and highlights the role of the placebo effect in shaping treatment outcomes. It looks at recent research highlighting the influence of patient-practitioner interactions, contextual factors and neurobiological mechanisms on placebo responses. It also discusses how placebo interventions, ranging from inert substances to sham surgery, have shown significant efficacy in relieving low back pain symptoms. Neuroimaging studies have provided valuable insights into the neural mechanisms underlying the placebo effect, enabling the development of targeted interventions. In addition, ethical considerations related to the use of placebos, including transparency, informed consent and harm minimization, are addressed to ensure ethical practice. Healthcare providers are encouraged to harness the placebo effect through evidence-based interventions and patient-centered care. Through the use of positive communication, empathy and complementary therapies, clinicians can optimize treatment outcomes and improve the overall well-being of patients. Looking to the future, interdisciplinary collaboration and advances in neuroscience promise to further unlock the therapeutic potential of the placebo effect in the treatment of low back pain. By combining scientific rigor and compassionate care, healthcare providers can navigate the complexities of placebo use in an ethical and effective manner, ultimately improving outcomes for patients with low back pain and other chronic conditions.
腰背痛是一种受生物、心理和社会因素影响的复杂病症,给有效治疗带来了巨大挑战。疼痛的生物心理社会模式强调将各种因素纳入治疗策略的重要性。在此背景下,安慰剂效应作为一种显著现象出现,为腰背痛治疗中说服与缓解的相互作用提供了启示。本文探讨了腰背痛的多面性,并强调了安慰剂效应在影响治疗结果方面的作用。它审视了近期的研究,强调了患者与执业医师之间的互动、环境因素和神经生物学机制对安慰剂反应的影响。它还讨论了从惰性物质到假手术等各种安慰剂干预措施如何在缓解腰痛症状方面显示出显著疗效。神经影像学研究为了解安慰剂效应的神经机制提供了有价值的见解,有助于开发有针对性的干预措施。此外,研究还探讨了与使用安慰剂相关的伦理问题,包括透明度、知情同意和伤害最小化,以确保实践符合伦理道德。鼓励医疗服务提供者通过循证干预和以患者为中心的护理来利用安慰剂效应。通过积极沟通、换位思考和辅助疗法,临床医生可以优化治疗效果,提高患者的整体健康水平。展望未来,跨学科合作和神经科学的进步有望进一步释放安慰剂效应在治疗腰背痛方面的治疗潜力。通过将严谨的科学态度和富有同情心的护理相结合,医疗服务提供者可以以合乎道德和有效的方式应对安慰剂使用的复杂性,最终改善腰背痛和其他慢性疾病患者的治疗效果。
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引用次数: 0
Effectiveness of Early Mobilization and Administration of Cork Fish Extract on Wound Healing of Sectio Caesarean Surgery at Noemuti Health Center 早期动员和服用软木鱼提取物对 Noemuti 卫生中心剖腹产手术伤口愈合的影响
Pub Date : 2024-02-23 DOI: 10.47667/ijpasr.v5i1.290
Fitriyaningsih Fitriyaningsih, Y. Sepeh, Isabel De Fatima Gudino, Meteria Simbolon
This study aims to determine the effectiveness of early mobilization and administration of cork fish extract on wound healing after Sectio caesarea surgery at Puskesmas Noemuti. The problem faced is the high rate of cesarean delivery in Indonesia which can cause complications such as surgical wound infection and increase maternal and infant mortality. The method used is a type of quasy experimental research with a static group comparison design approach. The results showed that early mobilization and administration of cork fish extract were effective in improving sectio caesarean wound healing. The treatment group given the intervention of early mobilization and administration of cork fish extract had a better level of surgical wound healing compared to the control group which was only given the standard hospital intervention. This study can contribute to improving the quality of health services in Indonesia, especially in the handling of labor through cesarean section.
本研究旨在确定早期动员和服用软木鱼提取物对努埃姆蒂医院剖腹产手术后伤口愈合的效果。印度尼西亚的剖腹产率很高,这可能导致手术伤口感染等并发症,并增加母婴死亡率。采用的方法是一种静态分组比较设计法的asy 实验研究。结果显示,早期动员和服用软木鱼提取物能有效改善剖腹产伤口愈合。与只给予标准医院干预的对照组相比,给予早期动员和软木鱼提取物干预的治疗组的手术伤口愈合水平更高。这项研究有助于提高印度尼西亚的医疗服务质量,尤其是在处理剖腹产方面。
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引用次数: 0
Factors Influencing the Use of Long-Term Contraceptive Methods at the Noemuti Health Center, North Central Timor District 影响帝汶中北部地区 Noemuti 保健中心使用长期避孕方法的因素
Pub Date : 2024-02-23 DOI: 10.47667/ijpasr.v5i1.291
Flora Naibaho, Deasy Harini Nastiti, Ramatian Simanihuruk, Tiolina Klara Panjaitan
Examining the factors that influence the utilization of Long-Term Contraceptive Methods (MKJP) at the Noemuti Health Center in the North Central Timor District is the purpose of this research. The principal issue is the inadequate utilization of MKJP, one of the safest and most effective contraceptives.This research employed a quantitative methodology and a cross-sectional design. In 2021, the entire active family planning acceptor population at the Noemuti Health Center in North Central Timor Regency comprised the study population of 1,899 individuals. As indicated by the results, the proportion of the low education variable that utilized MHJP was 36.8%, whereas the high education variable accounted for 33.3%. In relation to the use of MHJP, the employment variable revealed that 43.9% of acceptors who were employed utilized MHJP, whereas the employment variable of those who were unemployed utilized MHJP. The statistical analysis indicated that age, occupation, and level of education did not have a statistically significant impact on the utilization of MHJP. Nevertheless, the hypothesis was validated as the statistical data revealed that mothers with a higher level of education exhibited a greater utilization of contraceptives. This research offers valuable insights that can be utilized to bolster the family planning initiative and promote greater utilization of MHJP in Puskesmas Noemuti, North Central Timor District.
本研究旨在探讨影响帝汶中北部地区 Noemuti 保健中心使用长期避孕方法(MKJP)的因素。本研究采用了定量方法和横断面设计。2021 年,帝汶中北部 Noemuti 健康中心的全部积极接受计划生育的人口构成了 1 899 名研究对象。研究结果表明,低教育变量中使用 MHJP 的比例为 36.8%,而高教育变量中使用 MHJP 的比例为 33.3%。关于 MHJP 的使用情况,就业变量显示,43.9% 的在职接受者使用了 MHJP,而失业者的就业变量使用了 MHJP。统计分析表明,年龄、职业和教育水平对使用 MHJP 没有显著影响。尽管如此,假设还是得到了验证,因为统计数据显示,受教育程度较高的母亲对避孕药具的使用率更高。这项研究提供了有价值的见解,可用于在帝汶中北部地区的努埃穆蒂乡加强计划生育措施,提高 MHJP 的使用率。
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引用次数: 0
Methods of Diagnosing Immunodeficiency in Adolescents 诊断青少年免疫缺陷的方法
Pub Date : 2024-01-25 DOI: 10.47667/ijpasr.v5i1.270
Ghufran Qasim Abd Alkhaliq, Argwan M. Al-Zubaidi, Tabarak J. Talab, Hala Amer
Immunodeficiency disorders in adolescents represent a complex and multifaceted challenge in clinical practice. A timely and accurate diagnosis is crucial for appropriate management and improved patient outcomes. This review paper comprehensively examines the methods employed in diagnosing immunodeficiency disorders in adolescents. We explore clinical assessments, laboratory tests, genetic analyses, imaging techniques, and functional assays, highlighting their respective advantages and disadvantages. A critical understanding of these diagnostic approaches equips healthcare professionals with valuable tools to enhance the healthcare of adolescents with immunodeficiency disorders. Furthermore, some systems for diagnosing diseases that affect immunity are explained.
在临床实践中,青少年免疫缺陷疾病是一项复杂而多方面的挑战。及时、准确的诊断对于合理治疗和改善患者预后至关重要。本综述全面探讨了诊断青少年免疫缺陷疾病的方法。我们探讨了临床评估、实验室检测、基因分析、成像技术和功能测定等方法,并着重介绍了它们各自的优缺点。通过对这些诊断方法的深入了解,医疗保健专业人员可以掌握宝贵的工具,加强对患有免疫缺陷疾病的青少年的医疗保健。此外,还介绍了一些诊断影响免疫力疾病的系统。
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引用次数: 0
Top Python-Based Deep Learning Packages: A Comprehensive Review 基于 Python 的顶级深度学习软件包:全面回顾
Pub Date : 2024-01-25 DOI: 10.47667/ijpasr.v5i1.283
Yasmin Makki Mohialden, Raed Waheed Kadhim, N. M. Hussien, Samira Abdul-Kader Hussain
Deep learning has transformed artificial intelligence (AI) by empowering machines to execute intricate functions with unparalleled precision. The field claims an array of robust packages and libraries, among which Python, a prominent and celebrated programming language, has emerged as a pivotal choice for deep learning study and development. Python has become a leading language in deep learning due to its simplicity and the vast array of libraries available for developers and researchers.  This article thoroughly examines the most broadly adopted deep learning packages within the Python system. The packages under scrutiny include TensorFlow, PyTorch, Keras, Theano, and Caffe. We exactly assess each of these packages to establish their typical features and capabilities. Moreover, the review explores into an in-depth analysis of the assets and weaknesses inherent in each package. This detailed exploration prepares readers with the information necessary to make informed decisions regarding the variety of the most suitable packages custom-made to their specific needs. This comprehensive review aims to propose a nuanced understanding of the landscape of popular deep learning packages and support practitioners and researchers in creation strategic and well-informed choices for their deep learning actions.
深度学习使机器能够以无与伦比的精度执行复杂的功能,从而改变了人工智能(AI)。该领域拥有一系列强大的软件包和库,其中 Python 作为一种著名的编程语言,已成为深度学习研究和开发的关键选择。Python 因其简单易用和大量库可供开发人员和研究人员使用而成为深度学习领域的领先语言。 本文深入研究了 Python 系统中最广泛采用的深度学习软件包。所研究的软件包包括 TensorFlow、PyTorch、Keras、Theano 和 Caffe。我们对这些软件包逐一进行了精确评估,以确定它们的典型特征和能力。此外,评论还深入分析了每个软件包固有的优点和缺点。这种详细的探讨为读者提供了必要的信息,使他们能够根据自己的具体需求做出明智的决定,选择最合适的软件包。本综合评论旨在提出对流行深度学习软件包的细微理解,并支持从业人员和研究人员为其深度学习行动做出战略性的明智选择。
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引用次数: 0
Environmental Governance: Challenges of Environmentally Friendly Industrial Areas In Dhaka City of Bangladesh 环境治理:孟加拉国达卡市环境友好型工业区面临的挑战
Pub Date : 2023-12-28 DOI: 10.47667/ijpasr.v4i4.260
Farahdeusi Jianina
This research employs a comprehensive approach that takes into account stakeholder views, workforce demographics, and quantitative environmental indicators to investigate environmental governance difficulties in Dhaka's eco-friendly industrial zones. Sector-specific dynamics are revealed by the findings, highlighting the necessity of customized interventions. Higher environmental perception ratings are seen in the electronics industry; nevertheless, there are a variety of obstacles to overcome, such as the chemical industry's pressing need to enhance air quality and the electronics industry's difficulty in reducing waste. The demography of the workforce and attitudes toward the environment are correlated, pointing to possible approaches for promoting sustainability. The study's conclusions offer insights into Dhaka's path toward sustainable industrial growth and implications for stakeholders and future research directions.
本研究采用一种综合方法,考虑利益相关者的观点、劳动力人口统计和定量环境指标,调查达卡生态友好型工业区的环境治理困难。研究结果揭示了特定行业的动态变化,强调了定制化干预措施的必要性。电子行业的环境感知度较高;然而,仍有各种障碍需要克服,如化工行业迫切需要提高空气质量,电子行业在减少废物方面存在困难。劳动力的人口结构与对环境的态度相关联,为促进可持续发展提供了可能的方法。研究结论为达卡的可持续工业增长之路提供了启示,并对利益相关者和未来研究方向产生了影响。
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引用次数: 0
Analysis of Determining Service Center Systems towards the Development of The Eastern Part of Medan City 对确定服务中心系统以促进棉兰市东部发展的分析
Pub Date : 2023-12-28 DOI: 10.47667/ijpasr.v4i4.258
T. R. H. Sinar, Feby Milanie, Cut Nuraini, Abdiyanto Abdiyanto, Ihsan Azhari
The issues in the research area include a high concentration of built-up residential areas with the potential for slums and warehousing activities dominating trade and service areas or residential areas, leading to congestion. This requires attention, considering that the Eastern Part of Medan City has a high built-up area, necessitating the provision of affordable infrastructure and basic services for both newcomers and existing residents in the city. Several development theories and concepts can assist in determining and conceptualizing development in the research area. The study focuses on examining the Sub-Central Service System of the City as a center serving sub-urban areas. Various methods are used in determining service centers, including the scalogram method, Marshall's centrality index, and rank-size rule, which will ultimately provide recommendations for the central service system. After issuing recommendations from these three analyses, the determination of the existing urban internal structure is conducted using a scoring method to identify the central service location. Calculations from multiple service center analysis methods are scored and summed to obtain a total score. The neighborhood with the smallest score has the highest hierarchy value, and vice versa. It is revealed that the Sub-Central Service System is present in all sub-districts in the Eastern Part of Medan City, meaning each sub-district in each neighborhood already has comprehensive facilities. Consequently, the four sub-districts in the Eastern Part of Medan City have the potential for development as they meet service needs and can be directed to become service centers serving their respective sub-districts.
研究区域存在的问题包括:已建成住宅区高度集中,贫民窟和仓储活动有可能主导贸易和服务区或住宅区,从而导致交通拥堵。考虑到棉兰市东部的建成区面积较大,有必要为该市的新居民和现有居民提供负担得起的基础设施和基本服务,这一点需要引起重视。一些发展理论和概念可以帮助确定研究区域的发展并将其概念化。本研究重点考察城市副中心服务系统,将其作为服务郊区的中心。在确定服务中心时使用了多种方法,其中包括:斯卡洛格拉姆法、马歇尔中心性指数和等级-规模规则,这些方法最终将为中心服务系统提供建议。在发布这三种分析的建议后,采用评分法对现有城市内部结构进行确定,以确定中心服务地点。对多种服务中心分析方法的计算结果进行打分和求和,得出总分。得分最小的街区具有最高的层次结构值,反之亦然。结果显示,棉兰市东部的所有分区都存在次中心服务系统,这意味着每个街区的每个分区都已拥有完善的设施。因此,棉兰市东部的四个分区具有发展潜力,因为它们满足了服务需求,可以引导它们成为服务中心,为各自的分区提供服务。
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引用次数: 0
Low Carbon Development in Support of Improving Environmental Quality in Nigeria 支持改善尼日利亚环境质量的低碳发展
Pub Date : 2023-12-28 DOI: 10.47667/ijpasr.v4i4.262
Okocha Michele
The importance of technology advancements in Low Carbon Development (LCD) and their significant effects on both environmental sustainability and economic growth are highlighted in this abstract. The transformational role of innovations is highlighted by examining them in several sectors, such as waste management, carbon capture, energy efficiency, renewable energy, and sustainable transportation. In addition to reducing carbon emissions, these inventions support the development of a green economy, job creation, and economic resilience. According to the abstract, as countries—including Nigeria—adopt technological solutions, they are paving the way for a peaceful coexistence of environmental sustainability and economic growth.
本摘要强调了技术进步在低碳发展(LCD)中的重要性及其对环境可持续性和经济增长的重大影响。通过对废物管理、碳捕获、能源效率、可再生能源和可持续交通等多个领域的研究,强调了创新的变革作用。除了减少碳排放,这些发明还有助于发展绿色经济、创造就业机会和增强经济韧性。摘要指出,随着各国(包括尼日利亚)采用技术解决方案,它们正在为环境可持续性与经济增长的和平共处铺平道路。
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引用次数: 0
Slum Area Improvement Program Based on Social Categories in Binjai City 宾杰市基于社会类别的贫民区改善计划
Pub Date : 2023-12-28 DOI: 10.47667/ijpasr.v4i4.257
Muhammad Taufik Rangkuti, Abdi Sugiarto, Abdiyanto Abdiyanto
This research aims to identify the socio-economic characteristics of the community in the Binjai Kota District, especially in the Kartini Region. It involves categorizing areas based on social and economic categories within slum areas and formulating appropriate handling strategies. The research methodology used is the SWOT Model with a descriptive and qualitative approach. Purposive sampling is employed for sample selection and informant determination. Overall, the socio-economic category of the community in the slum area tends to show low levels, as manifested in the majority having elementary school education, the dominance of laborers and farmers in the job sector, and low income levels, including land ownership with limited legality. However, there are some socio-economic categories that indicate better conditions, such as the productive age of household heads, housing density in accordance with standards, sanitation and clean water availability, and building ownership. Considering these findings, the slum area improvement program based on social categories proposed in this research should focus on strategies involving the implementation of development missions, community skill enhancement, sanitation preservation, building maintenance, and the development of non-governmental organizations. It should also encompass community empowerment, job diversification, cooperation for land ownership legality, drainage improvement, community awareness enhancement, and holistic assistance. This involves the government in the implementation of environmental cleanliness programs, collaboration between the government, regional authorities, and the community, as well as the maintenance of public facilities, improvement of community institutions, involvement of regional government within budget constraints, and collaboration between the government and the community in area arrangement.
本研究旨在确定宾杰科塔区,尤其是卡尔提尼地区社区的社会经济特征。它涉及根据贫民窟地区的社会和经济类别对地区进行分类,并制定适当的处理策略。采用的研究方法是 SWOT 模型和描述性定性方法。在选择样本和确定信息提供者时采用了目的性抽样。总体而言,贫民区社区的社会经济类别趋于低水平,具体表现为大多数人只有小学文化程度,就业部门以工人和农民为主,收入水平低,包括土地所有权的合法性有限。不过,也有一些社会经济类别显示出较好的条件,如户主的生产年龄、符合标准的住房密度、卫生设施和清洁水的可用性以及建筑物所有权。考虑到这些发现,本研究提出的基于社会类别的贫民窟地区改善计划应侧重于涉及发展任务的实施、社区技能的提高、卫生设施的保护、建筑物的维护和非政府组织的发展等战略。它还应包括社区赋权、就业多样化、土地所有权合法性合作、排水系统改善、社区意识提高和整体援助。这涉及政府实施环境清洁计划,政府、地区当局和社区之间的合作,以及公共设施的维护,社区机构的改善,地区政府在预算限制范围内的参与,以及政府和社区在地区安排方面的合作。
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引用次数: 0
Characteristics and Management of Drainage Infrastructure in Medan Sunggal District, Medan City 棉兰市棉兰 Sunggal 区排水基础设施的特点与管理
Pub Date : 2023-12-28 DOI: 10.47667/ijpasr.v4i4.259
Mira Ismilia Hartini, Cut Nuraini, Feby Milanie, Abdiyanto Abdiyanto, Abdi Sugiarto
Climate change, characterized by high-intensity rainfall, coupled with inadequate drainage systems, small and shallow river dimensions, and a lack of community awareness, has caused flooding and inundation in Medan Sunggal District. This study aims to understand the characteristics and management of drainage infrastructure in Medan Sunggal Subdistrict, Medan City, to identify its characteristics and implement suitable management efforts. The research adopts a positivism paradigm with a positivistic approach, relying on empirical facts (sensual empiricism). The research methodology used is purely qualitative descriptive, focusing on an in-depth understanding related to the characteristics, context, and research subjects. Data collection methods include Guest Tour and comparative techniques. The results of this study show that the characteristics of drainage infrastructure in the study area form a network pattern. The types of channels in the study area are primary channels, secondary channels, and tertiary channels. They consist of artificial channels with open concrete construction, located above the ground with a combined drainage system. While most of the physical conditions are good, some exhibit minor damage. A significant portion of the drainage water is stagnant. Flood-prone areas constitute 41%, areas with infrequent flooding are at 43%, and areas that have never experienced flooding are at 16%. Management recommendations for the study area include providing green open spaces, creating biopore infiltration holes, constructing detention and retention ponds, using paving blocks/grass blocks, conducting maintenance (normalization and rehabilitation) of drainage, and involving the community in each management aspect.
以高强度降雨为特征的气候变化,再加上排水系统不完善、河道面积小且浅以及缺乏社区意识等因素,导致棉兰宋加尔区出现洪水和淹没现象。本研究旨在了解棉兰市棉兰 Sunggal 县排水基础设施的特点和管理情况,以确定其特点并实施适当的管理工作。本研究采用实证主义范式,采用实证主义方法,依靠经验事实(感性经验主义)。采用的研究方法是纯粹的定性描述法,侧重于深入了解与研究对象的特点、背景和研究对象相关的内容。数据收集方法包括访客游览和比较技术。研究结果表明,研究区域的排水基础设施的特点形成了一个网络模式。研究区域的渠道类型包括一级渠道、二级渠道和三级渠道。这些渠道由人工渠道组成,采用开放式混凝土结构,位于地面之上,具有联合排水系统。虽然大部分渠道的实际状况良好,但也有一些渠道出现轻微损坏。相当一部分排水系统中的水是死水。洪水易发区占 41%,不常发生洪水的地区占 43%,从未发生洪水的地区占 16%。研究区域的管理建议包括提供绿色开放空间、创建生物孔渗透孔、建造滞留池和蓄水池、使用铺路块/草块、对排水系统进行维护(正常化和修复),以及让社区参与每个管理环节。
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引用次数: 0
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International Journal Papier Advance and Scientific Review
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