Relevant Research Research Articles

Detection of Volcanic Ash Using Goes-16 Satellite Imagery: Case Study of Popocatépetl Volcano, Mexico

Objective: The objective of this study is to investigate the accuracy of volcanic ash detection using satellite imagery, to improve existing monitoring tools to adapt them to the Popocatépetl volcano in Mexico. Theoretical Framework: Volcanic ash detection via remote sensing employs Pavolonis' algorithms that compare radiances in the thermal and mid-infrared spectrum. This approach differentiates ash from clouds and water vapor by leveraging its differential absorption. Satellites such as GOES-16, which capture multispectral data, optimize the continuous detection and monitoring of ash dispersion, even in areas of low concentration. Method: Three volcanic ash detection algorithms were compared using images from the Popocatépetl eruption event on May 21, 2023: two developed by Pavolonis, which combine thermal and mid-infrared bands, and a third, a spectral adaptation designed to enhance precision at the edges of the ash cloud, tailored to the study area. Results were validated with an RGB ash image provided by NOAA. Results and Discussion: Pavolonis' algorithms provided a solid foundation for general detection, but the third algorithm, specifically designed for this study, significantly improved edge detection where classification conditions are more complex. This improvement was reflected in a higher agreement with the RGB ash image used as a reference. However, limitations related to atmospheric interference were identified, which require further adjustments in low ash concentration scenarios. Research Implications: The findings of this research have significant practical and theoretical implications for volcanic risk management and environmental protection. Enhanced accuracy in volcanic ash detection can optimize monitoring and early warning strategies, reducing risks to public health and infrastructure. Originality/Value: This study contributes to the literature by introducing a specific spectral adaptation to improve edge detection of volcanic ash, a novel approach not previously addressed. The research's relevance lies in its ability to refine monitoring methodology, providing more effective tools for volcanic risk management and offering a model applicable to other areas facing similar remote sensing challenges.

The Relevance of Indicator Assessment for Planning and Decision-Making in Urban Monitoring

Objective: The objective of this study is to investigate the application of information systems in urban monitoring management, specifically focusing on the analysis of indicators that can support decision-making. The study aims to explore which indicators are associated with monitoring management, their correlations with various provided services, and the triggers that activate these services. Theoretical Framework: This research is grounded in Contingency Theory, which posits that organizational effectiveness is contingent on how practices are adapted to specific contexts. Key concepts include the integration of information systems, data-driven decision-making, and urban management efficiency. Method: The methodology employed involves a combination of quantitative and qualitative data collection and analysis methods. This approach provides a comprehensive and contextualized understanding of urban monitoring operations. Data collection methods include [specify methods used, e.g., surveys, interviews, or observations]. Results and Discussion: The findings demonstrate the critical role of integrating information systems with everyday monitoring practices, allowing for the extraction and application of accurate and relevant data to enhance urban service management. The discussion highlights the implications of these findings within the theoretical framework, examining the relationships and discrepancies identified and considering the study's limitations. Research Implications: The study provides both theoretical and practical implications, offering insights into how the findings can be applied to improve practices in urban management. The implications are particularly relevant for enhancing the responsiveness and adaptability of urban monitoring strategies. Originality/Value: This study contributes to the literature by offering a novel perspective on the integration of information systems in urban monitoring, highlighting the importance of data-driven decision-making. The research's relevance is underscored by its potential to influence urban management practices and improve service quality.

Two-cylinder Synchronous Electro-hydraulic Servo System and its Control Technology Development

Background: Electro-hydraulic servo control system synchronous control in industrial application is very extensive because the application of electro-hydraulic servo control system is mostly in a poor working environment, there are a variety of complex external factors. Objective: Improve the comprehensive performance indicators such as accuracy, speed, and stability of synchronous control of hydraulic cylinders Methods: In the process of synchronous movement, the typical hardware structure and control methods and algorithm strategies of the double hydraulic cylinder are analyzed in detail, and the basic principle of common hydraulic double cylinder synchronous control is summarized. Results: Through the comprehensive analysis of papers and patent documents related to the synchronous control of hydraulic twin cylinders, these papers and patented technologies study the control algorithm, and apply the new technology to the synchronous control of electro-hydraulic servo hydraulic cylinders to improve its comprehensive performance indicators such as work accuracy, speed and stability. Conclusion: Referring to the development trajectory of control algorithms in this regard, combined with new control theory and new technology, many achievements can be applied and researched in hydraulic cylinder synchronous control, and better develop the synchronous control system when double hydraulic cylinders and more hydraulic cylinders work together. By collating and analyzing the relevant research results, the two-cylinder synchronous control technology is comprehensively evaluated and prospected, which provides a valuable reference for the research and application in this field.

Communicating Nutrition and Dietetics Research: A Crucial Step to Advancing Evidence-Based Practice

The primary objective of nutrition research is to make discoveries that will improve human health, and this is more likely to happen when researchers collaborate and share research findings with clinicians, program and policy makers, and the public. Nutrition research directly informs evidence-based care provided by registered dietitian nutritionists. However, the current academic model often lacks sufficient incentives and preparation for researchers to effectively disseminate their work. Consequently, research findings can be misrepresented, misinterpreted, distorted from their original context, or fail to reach the intended audience altogether. The aim of this article was to describe the importance and value of communication and disseminating nutrition research with various audiences and discuss what material should be disseminated. The information presented can serve as a guide for nutrition researchers to effectively disseminate their research for maximal impact and relevance.

Progress of Cancer Stem Cells in Retinoblastoma.

The theory of cancer stem cells is a breakthrough discovery that offers exciting possibilities for comprehending the biological behavior of tumors. More and more evidence suggests that retinoblastoma cancer stem cells promote tumor growth and are likely to be the origin of tumor formation, drug resistance, recurrence, and metastasis. At present, some progress has been made in the verification, biological behavior, and drug resistance mechanism of retinoblastoma cancer stem cells. This article aims to review the relevant research and explore future development direction.

Naturally Occurring Cholinesterase Inhibitors from Plants, Fungi, Algae, and Animals: A Review of the Most Effective Inhibitors Reported in 2012-2022.

Since the development of the "cholinergic hypothesis" as an important therapeutic approach in the treatment of Alzheimer's disease (AD), the scientific community has made a remarkable effort to discover new and effective molecules with the ability to inhibit the enzyme acetylcholinesterase (AChE). The natural function of this enzyme is to catalyze the hydrolysis of the neurotransmitter acetylcholine in the brain. Thus, its inhibition increases the levels of this neurochemical and improves the cholinergic functions in patients with AD alleviating the symptoms of this neurological disorder. In recent years, attention has also been focused on the role of another enzyme, butyrylcholinesterase (BChE), mainly in the advanced stages of AD, transforming this enzyme into another target of interest in the search for new anticholinesterase agents. Over the past decades, Nature has proven to be a rich source of bioactive compounds relevant to the discovery of new molecules with potential applications in AD therapy. Bioprospecting of new cholinesterase inhibitors among natural products has led to the discovery of an important number of new AChE and BChE inhibitors that became potential lead compounds for the development of anti-AD drugs. This review summarizes a total of 260 active compounds from 142 studies which correspond to the most relevant (IC50 ≤ 15 μM) research work published during 2012-2022 on plant-derived anticholinesterase compounds, as well as several potent inhibitors obtained from other sources like fungi, algae, and animals.

The Company Law Analysis using the (COPRAS) Method

Company law is a crucial area of expertise or employment for experts in company secretarial work. The different provisions of the Companies Act, as well as its schedules, rules, notices, and circulars, as well as secretarial practice and case laws, are covered in-depth in this section. According to the law, a business is a body corporate with a different legal identity, status, and personality from the individuals who make up its membership. A company is, in the legal sense, a grouping of human and artificial beings that has been officially established by a nation's law. According to Indian law, there are seven different types of corporations: partnerships, limited liability companies, sole proprietorships, private limited companies, and public businesses (LLP). The list of types of businesses is below. The current law, the Companies Act of 1956, is made up of 15 Schedules and 658 provisions. There are 464 sections and 7 sections in the 2013 Companies Act. The Act includes fewer provisions since non-prescriptive regulations continue to control businesses. The Act's provisions served as the foundation for the notes that follow. company law Company law, also referred to as business law or company law, is the body of legislation that governs how businesses are formed, managed, and operated, as well as any associated rules, regulations, laws, and practices. Simply defined, corporate law deals with every legal problem that a business encounter. A Research's relevance is determined by the study itself. It speaks to the study's significance and contribution to a particular area of research. The emphasis is on who and how research findings are beneficial. It facilitates corporate success. We can use it to bolster truths and disprove lies. It serves as a tool for identifying, evaluating, and seizing opportunities. It encourages a love of reading and confidence in writing, analysis, and sharing important information. Leanne Zara emphasizes that "the major goal of research is to direct impact on people, prove a theory, as well as contribute to the advancement of knowledge in the subject of study" while discussing the significance of research. 4 Studies are the basis of information for the purpose of understanding and the primary source of providing laws or guidelines for managing various social, business, or governmental problems. A thorough research provides learners with critical thinking abilities, effective analysis, and research. It is a varied, systematic education that aids in effectively comprehending new advancements in one's specialty. The COPRAS-G method requires identifying selection criteria, evaluating information related to these criteria, and developing methods to evaluate Meeting the participant's needs Criteria for doing in order to assess the overall performance of the surrogate. Decision analysis involves a Decision Maker (DM) Situation to do consider a particular set of alternatives and select one among several alternatives, usually with conflicting criteria. For this reason, the developed complexity proportionality assessment (COPRAS) method can be used. Alternative Taken as Artificial person, Membership, Incorporated Association, Separate legal Existence and Perpetual Succession. Evaluation Parameters Taken as Common Seal, Limited Liability, Share Transfer, Maintenance of Account books, Audit of Accounts. Company law Membership is got the first rank whereas is the Incorporated Association is having the Lowest rank. Membership is got the first rank whereas is the Incorporated Association is having the Lowest rank.

A Comprehensive Review on Biotransformation, Interaction, and Health of Gut Microbiota and Bioactive Components.

The relationship between gut microbiota and bioactive components has become the research focus in the world. We attempted to clarify the relationship between biotransformation and metabolites of gut microbiota and bioactive components, and explore the metabolic pathway and mechanism of bioactive ingredients in vivo, which will provide an important theoretical basis for the clinical research of bioactive ingredients and rationality of drugs, and also provide an important reference for the development of new drugs with high bioavailability. The related references of this review on microbiota and bioactive components were collected from both online and offline databases, such as ScienceDirect, PubMed, Elsevier, Willy, SciFinder, Google Scholar, Web of Science, Baidu Scholar, SciHub, Scopus, and CNKI. This review summarized the biotransformation of bioactive components under the action of gut microbiota, including flavonoids, terpenoids, phenylpropanoids, alkaloids, steroids, and other compounds. The interaction of bioactive components and gut microbiota is a key link for drug efficacy. Relevant research is crucial to clarify bioactive components and their mechanisms, which involve the complex interaction among bioactive components, gut microbiota, and intestinal epithelial cells. This review also summarized the individualized, precise, and targeted intervention of gut microbiota in the field of intestinal microorganisms from the aspects of dietary fiber, microecological agents, fecal microbiota transplantation, and postbiotics. It will provide an important reference for intestinal microecology in the field of nutrition and health for people. To sum up, the importance of human gut microbiota in the research of bioactive components metabolism and transformation has attracted the attention of scholars all over the world. It is believed that with the deepening of research, human gut microbiota will be more widely used in the pharmacodynamic basis, drug toxicity relationship, new drug discovery, drug absorption mechanism, and drug transport mechanism in the future.

Incorporating immigrant optimism into critical consciousness and civic development models: An integrative review and synthesis of civic action among immigrant youth of color in the United States.

Civic action describes participation in political and prosocial activities aimed at benefiting one's communities. A growing literature rooted in critical consciousness (CC) theory suggests that engaging in critical action, which challenges societal inequities, is important for the positive development of youth of color. Although valuable, existing literatures have yet to consider how psychological processes related to the immigrant experience, such as immigrant optimism (IO), may differentially influence the civic participation of immigrant youth of color. IO is a phenomenon in which immigrant groups hold higher aspirations and more positive views of the host society than their nonimmigrant peers, and this often is associated with positive outcomes. This article reviews and integrates relevant research on the civic development of immigrant youth of color, considering both how IO may be a particularly relevant process in shaping immigrant youths' CC development and how civic action may take different forms among these youth. We define concepts, integrate previously siloed literatures, and make recommendations for future research. We propose expanding existing frameworks to consider IO and forms of action, along with their intended outcome. Incorporating IO into studies of CC or civic development can clarify important differences and enhance our understanding of how best to support immigrant youth. Similarly, examining forms of action and their intended outcome may be advantageous in facilitating young immigrants' development as active and engaged members of society. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Deep Neural Networks and Tabular Data: A Survey.

Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On homogeneous datasets, deep neural networks have repeatedly shown excellent performance and have therefore been widely adopted. However, their adaptation to tabular data for inference or data generation tasks remains highly challenging. To facilitate further progress in the field, this work provides an overview of state-of-the-art deep learning methods for tabular data. We categorize these methods into three groups: data transformations, specialized architectures, and regularization models. For each of these groups, our work offers a comprehensive overview of the main approaches. Moreover, we discuss deep learning approaches for generating tabular data and also provide an overview over strategies for explaining deep models on tabular data. Thus, our first contribution is to address the main research streams and existing methodologies in the mentioned areas while highlighting relevant challenges and open research questions. Our second contribution is to provide an empirical comparison of traditional machine learning methods with 11 deep learning approaches across five popular real-world tabular datasets of different sizes and with different learning objectives. Our results, which we have made publicly available as competitive benchmarks, indicate that algorithms based on gradient-boosted tree ensembles still mostly outperform deep learning models on supervised learning tasks, suggesting that the research progress on competitive deep learning models for tabular data is stagnating. To the best of our knowledge, this is the first in-depth overview of deep learning approaches for tabular data; as such, this work can serve as a valuable starting point to guide researchers and practitioners interested in deep learning with tabular data.

Investigating the Influence of Gut Microbiota-related Metabolites in Gastrointestinal Cancer.

Gastrointestinal (GI) cancer is a major health concern due to its prevalence, impact on well-being, high mortality rate, economic burden, and potential for prevention and early detection. GI cancer research has made remarkable strides in understanding biology, risk factors, and treatment options. An emerging area of research is the gut microbiome's role in GI cancer development and treatment response. The gut microbiome, vital for digestion, metabolism, and immune function, is increasingly linked to GI cancers. Dysbiosis and alterations in gut microbe composition may contribute to cancer development. Scientists study how specific bacteria or microbial metabolites influence cancer progression and treatment response. Modulating the gut microbiota shows promise in enhancing treatment efficacy and preventing GI cancers. Gut microbiota dysbiosis can impact GI cancer through inflammation, metabolite production, genotoxicity, and immune modulation. Microbes produce metabolites like short-chain fatty acids, bile acids, and secondary metabolites. These affect host cells, influencing processes like cell proliferation, apoptosis, DNA damage, and immune regulation, all implicated in cancer development. This review explores the latest research on gut microbiota metabolites and their molecular mechanisms in GI cancers. The hope is that this attempt will help in conducting other relevant research to unravel the precise mechanism involved, identify microbial signatures associated with GI cancer, and develop targets.

Targeting Cysteine Proteases and their Inhibitors to Combat Trypanosomiasis.

Trypanosomiasis, caused by protozoan parasites of the Trypanosoma genus, remains a significant health burden in several regions of the world. Cysteine proteases play a crucial role in the pathogenesis of Trypanosoma parasites and have emerged as potential therapeutic targets for the development of novel antiparasitic drugs. This review article aims to provide a comprehensive overview of the role of cysteine proteases in trypanosomiasis and their potential as therapeutic targets. We discuss the biological significance of cysteine proteases in Trypanosoma parasites and their involvement in essential processes, such as host immune evasion, cell invasion, and nutrient acquisition. A comprehensive literature search was conducted to identify relevant studies and research articles on the role of cysteine proteases and their inhibitors in trypanosomiasis. The selected studies were critically analyzed to extract key findings and provide a comprehensive overview of the topic. Cysteine proteases, such as cruzipain, TbCatB and TbCatL, have been identified as promising therapeutic targets due to their essential roles in Trypanosoma pathogenesis. Several small molecule inhibitors and peptidomimetics have been developed to target these proteases and have shown promising activity in preclinical studies. Targeting cysteine proteases and their inhibitors holds great potential for the development of novel antiparasitic drugs against trypanosomiasis. The identification of potent and selective cysteine protease inhibitors could significantly contribute to the combat against trypanosomiasis and improve the prospects for the treatment of this neglected tropical disease.

Sida cordifolia L.: Ethnobotany, Phytochemistry, Phytonanotechnology, and Commercial Application.

After a period of prolonged indifference, where synthetic drugs were preferred, interest in the biological aspects and bioactive ingredients of plants accountable for therapeutic potential has been explored eminently. Sida cordifolia L. is a perennial herb that has been widely utilized in Indian (Ayurveda, Unani, and Siddha), American, and Chinese folk medicine and herbalism practice for curing a wide range of ailments in human beings. The goal of this review is to elucidate indigenous knowledge parallelly with the pharmacotherapeutics potential of Sida cordifolia L. against various diseases. It is also intended to display pertinent information related to nanoparticle profiling. In the current comprehensive study, web-based searches were performed by using several databases, such as Google Scholar, PubMed, ResearchGate, Science Direct, and Scopus, to figure out relevant research work and data published in academic journals from 1930 to July, 2023 using single or combination of keywords listed herewith. More than 50 chemical constituents, including quinazoline and phenethylamine alkaloids, flavones, flavonol, phytosterol, fatty acids, etc., were reported to be found in different parts of healthy plants. Apart from traditional claims and pharmacological aspects, several marketed herbal formulations and granted patents were also described. Several in-vitro and in-vivo studies validated the usage of S. cordifolia as antiinflammatory, antibacterial, antifungal, antiprotozoal, anthelmintic, anticancer, antiulcer, cardioprotective, hypoglycemic, etc. agent. Few patents are also related to S. cordifolia, and more research work needs to be carried out for its potential granted to use as an antiviral agent and other new drug discovery molecules.

Curriculum Approaches in English Language Teaching in Indonesia

This study used library research research methods to investigate curriculum approaches in English language teaching in Indonesia. The purpose of this study is to identify curriculum approaches commonly used in English language teaching in Indonesia and to understand how these approaches shape teaching methods and strategies applied in language classrooms. In this study, the author conducted a comprehensive literature review of relevant literature, including textbooks, research journals, articles, and education policies related to English language teaching in Indonesia. The data collected were analyzed qualitatively to identify curriculum approaches commonly used in the context of English language teaching in Indonesia. The results of this study show that some curriculum approaches commonly used in English teaching in Indonesia include content-based approaches, communicative approaches, task-based approaches, and grammar-based approaches. The selection of this curriculum approach is based on the goals and objectives of the program, as well as the needs and interests of learners. In conclusion, in Indonesia, English teaching is influenced by various curriculum approaches, which shape the methods and strategies applied in language classes. The choice of curriculum approach in English language teaching depends on the goals and objectives of the program, as well as the needs and interests of learners. Different approaches can be used in combination to create a comprehensive and effective language learning experience so that language learners can easily master the language in a formal setting.

Fill in the Blank? A Discussion of Prefilled Tax Returns in the U.S.

ABSTRACT The U.S. tax system imposes a substantial cost of preparation on individual taxpayers. Prefilled tax returns, in which the government prepares tax returns and provides them to taxpayers for any necessary revisions or approvals, would fundamentally overhaul this practice. Such a program has long been debated in the U.S., including multiple recent legislative proposals of a “Tax Filing Simplification Act.” In this paper, we consider a prefilled tax return system for the U.S., concluding that it offers the opportunity to improve the tax filing experience of many Americans by reducing their involvement in an activity widely perceived as unpleasant. However, effective implementation will require careful design. We draw on the implementation and design of programs in other developed countries, along with relevant academic research, to provide insight into the potential design of a prefilled tax return program in the U.S.

Stochastic synchronization of Kuramoto-oscillator network with pinning control

The issue of time cost for the Kuramoto-oscillator network synchronization has received widespread attention. However, there is no relevant research on the stochastic synchronization of the Kuramoto-oscillator network with partial uncontrollable oscillators. This article investigates the synchronization problem of the Kuramoto-oscillator network in noisy environments using the pinning control strategy and multilayer distributed control. Previous research requires control of all oscillators, which implies a great control cost. To reduce the control cost, the finite/fixed time pinning controllers are designed to provide the conditions for synchronization in noisy environments, and then the upper bounds on the convergence time of the network are estimated. Finally, numerical simulations are performed to justify the theoretical conclusions.

AI ChatGPT and student engagement: Unraveling dimensions through PRISMA analysis for enhanced learning experiences

This PRISMA-based literature review aims to assess and analyze the measurement of student engagement dimensions within AI ChatGPT interactions. The central question is how to effectively evaluate these dimensions using established methods and leverage insights to enhance AI ChatGPT’s capacity to foster student engagement. The systematic review of PRISMA methodology identifies 16 relevant peer-reviewed research. All relevant and eligible research according to PRISMA methodology are analyzed to comprehend the intricacies of student engagement in AI ChatGPT interactions. The synthesis of these findings unveils the current state of knowledge on AI ChatGPT’s influence on student engagement and uncovers opportunities for future research. This review underscores AI ChatGPT’s potential as an educational tool, offering personalized experiences that bolster student engagement and learning outcomes. The systematic review established that, even though using ChatGPT has many advantages such as enhancing student engagement and academic involvement and supporting inquiry-based learning. However, there are some negative aspects such as lacking empathy and human emotions, limited contextual understanding, increased technology dependence and possibility of Inaccurate or Biased Information. In summary, this PRISMA-based review contributes to understanding the measurement of student engagement within AI ChatGPT. It identifies best practices, laying the foundation for further research and development. By optimizing AI ChatGPT’s effectiveness, educators and developers can craft more engaging and tailored learning experiences, ultimately enhancing educational outcomes.

أهمية التأثير البشري في تقييم الحالة البيئية للمدن في أوزبكستان (منطقة نافوي كحالة للدراسة)

يعتبر إنشاء سلسلة من الخرائط ، وتجميع المؤشرات البيئية ، وتقييم الحالة البيئية للمدن من المهام البحثية وثيقة الصلة بالموضوع. إن تزايد عدد السكان في المدن ، وإنشاء العديد من المؤسسات الصناعية والإنتاجية ، واستخدام المركبات ، كلها عوامل تساهم في تدهور البيئة. منطقة نافوي هي وحدة إدارية شابة تقع في وسط أوزبكستان. أما فيما يتعلق بالتنمية الصناعية فمنطقة نافوي هي الأولى بين الوحدات الإدارية في الجمهورية. يشكل الإنتاج في مدنها ، وخاصة الإنتاجية العالية للمؤسسات الصناعية الثقيلة ، والمشاكل البيئية بأشكال مختلفة بسبب الضغط البشري على البيئة الطبيعية ، وصحة السكان - الأمهات والأطفال وكبار السن - تهديدًا خطيرًا. نتيجة للضغط البشري المرتفع ، تتناقص المساحات الخضراء النظيفة بيئيًا. تحتل حصة صغيرة جدًا مقارنة بالمساحة الإجمالية. وهذا بدوره يمكن أن يسبب ضغوطًا بيئية في المدن الإقليمية الواقعة في المناطق القاحلة ، ويسبب فقدان المساحات الخضراء. إن توقع مثل هذه العواقب ومكافحتها أمر مهم بشكل خاص اليوم. تحلل هذه المقالة الظروف البيئية في منطقة نافوي ومدنها ، بالإضافة إلى العامل الأكثر أهمية الذي يؤثر عليها ، التأثيرات البشرية. تم تصنيف الأراضي لمنطقة المدينة بالإضافة إلى الاقتراحات والتوصيات. لهذا ، قمنا بتحليل وتجميع التصنيف الهيكلي لمنطقة المدن الإقليمية. نتيجة لأبحاثنا ، يمكننا أن نرى أن المخاطر البيئية عالية. في هذه المقالة ، تتم تغطية المعلمات الرئيسية للدراسة بحسابات دقيقة.

Tools to measure the burden on informal caregivers of cancer patients: A literature review.

(1) To describe existing tools to assess the burden of informal caregivers of people with cancer, (2) to describe how these tools have been validated and (3) to describe the areas of interest of existing assessment tool entries. The caregiver burden of informal caregivers of people with cancer greatly affects their lives. There is a wide variety of relevant assessment tools available, but there are no studies to help researchers to select tools. A search was conducted using the keywords 'cancer', 'caregiver', 'burden' and 'scale' in Medline (PubMed), CINAHL and EMBASE to include articles that developed or applied tools to assess the burden on informal caregivers of cancer patients. Once eligible tools were identified, we searched their 'primary reference' studies. If the original scale was assessed in a population other than informal caregivers of cancer patients, we again searched for psychometric measures in the population of caregivers of cancer patients. This study retrieved 938 articles on developing or applying the informal caregiver burden instrument for cancer patients, including 42 scales. Internal consistency of the original scales ranged from 0.53 to 0.96. Nineteen scales initially developed to assess caregiver burden for patients with dementia, stroke and other disorders were later used for caregivers of cancer patients, eight of which have not yet been validated. Reclassifying all scale domains of concern revealed that scale assessments focused more on caregivers' physical health, emotional state and caregiving tasks. This review identifies many scales for assessing informal caregiver burden in cancer patients and gives scales recommended. However, a portion still needs to be validated. The development of a new scale proposes to be based on a theoretical framework and to consider dimensions for assessing support resources. What problem did the study address?: This paper collates assessment tools on the burden of informal carers of people with cancer. It also provides information on the applicable population, reliability and validity. What were the main findings?: 41 scales could be considered for use, eight of which have not been validated. The scales focus more on assessing caregivers' physical health, emotional state and caregiving tasks, and less on the dimension of support resources. Where and on whom will the research have an impact?: There are implications for informal carers of cancer patients in hospitals or in the community, as well as for relevant researchers. Retrieved with reference to systematic evaluation. No patient or public contribution.

Relations between Siberian and Kazakh Khanates in 15th-16th Centuries

This study explores the stages of interaction in the 15th-16th centuries between two Turkic post-Golden Horde states: the Siberian Khanate and the Kazakh Khanate. The role of the Kazakh factor in the ethnic history of the Siberian Tatars is examined. Primary sources such as chronicles, charters, treaties, and other published documents are utilized for analysis. It is demonstrated that the common tribal composition of these states is linked to the maintenance of close relations between their polities and institutional mechanisms inherited from the previous Golden Horde period. However, the formation of political entities (the Kazakh and Siberian Khanates) in the mid to late 15th century initiated processes leading to the emergence of distinct ethnic communities (Kazakhs and Siberian Tatars) within these states. The traditional belief in historical literature that Kuchum was a ‘Kazakh prince’ is challenged. The author disputes the position of Kazakh colleagues regarding the significant role of the ‘Kazakh’ factor, including Sultan Urus-Muhammad, in the later period of the Siberian Khanate. The nature of Siberian-Kazakh relations in the 16th century was influenced not only by the interests of the khanates’ rulers but also by external challenges posed by the emergence of new powerful political centers and leaders. The research's relevance stems from the limited exploration of the topic and conflicting approaches to the history of the formation of the Siberian Khanate and the ethnic community of Siberian Tatars in modern historiography.