Scientific Issues Research Articles

A Review of the U.S.-China Science and Technology Cooperation Agreement and Its Prospect–Based on the Perspective of Game Theory

《中美科技合作协定》的签署历程与发展历史解释了中美两国签订该协定的动因与维持双边科技合作关系的考量，并深刻揭示了两国科技合作关系背后的经济与政治博弈。现阶段，美国对华战略认知的调整与其将科技问题安全化的倾向导致了《中美科技合作协定》遭遇续签危机，其未来走向成为中美各界尤其关心的问题。博弈论为中美科技关系的战略转型提供有效的分析框架。其中，中美猎鹿博弈模型揭示了美国对华科技脱钩力度较弱的情况下双方进行合作的进路，而重复囚徒困境博弈模型则指出长期合作与互信的建立才是中美实现双赢的关键。中美两国应努力消除分歧，构建合作与竞争并存的新型关系，避免零和游戏，共同推动科技进步和全球发展。 The signing process and development of the US-China Science and Technology Cooperation Agreement (US-China S&T Cooperation Agreement) explain the reasons for the signing of the agreement and the considerations for maintaining the bilateral S&T cooperation relationship between China and the US, and deeply reveals the economic and political games behind the S&T cooperation relationship between the two countries. At this stage, the adjustment of the U.S. strategic perception of China and its tendency to securitize science and technology issues have led to the renewal crisis of the US-China S&T Cooperation Agreement, and its future direction has become an issue of particular concern to all sectors in the U.S. and China. Game theory provides an effective analytical framework for the strategic transformation of Sino-US S&T relations. The Stag Hunt Game Model reveals the way forward for cooperation between the two sides in the case of weak US S&T decoupling from China, while the Repeated Prisoner’s Dilemma Game Model points out that the establishment of long-term cooperation and mutual trust is the key to achieving a win-win situation for both China and the US. China and the United States should strive to eliminate differences, build a new type of relationship where cooperation and competition coexist, avoid zero-sum games, and jointly promote scientific and technological progress and global development.

Research of the Values of Modern Youth as a Guidance for Preparing Student Groups Curators for Educational Activities

Introduction. The organization of educational activities in the process of vocational education is one of the pressing open issues for modern pedagogical science. Active educational practices and forms of educational work become effective if their implementation is based on a serious study of the values of students as representatives of modern youth. Methodology. The article provides an overview of research into the value orientations of young people, presents a description of students’ opinions about traditional values, and presents the results of an analysis of a survey of 3,000 students about patriotic values, carried out during the project “Student communities as a space for patriotic education”. Results. The article shows how the values of young people can be taken into account when organizing educational work. Using the example of the design and implementation of a training program for student group curators, the areas of activity that can become the most significant and effective in working with young people are presented. Conclusion. In conclusion, the authors note that it is important for curators in their activities to think over the forms of pedagogical support for studentsʼ activities, competently build a system in the educational process that unites students of different faculties, analyze the problems of student life, monitor the dynamics of studentsʼ attitudes to what is happening, and change their value attitude.

Ultra-processing should be understood as a holistic issue, from food matrix, to dietary patterns, food scoring, and food systems.

The ultra-processed food (UPF) concept first emerged 15 years ago, and is now studied worldwide in different contexts, for example, human health, food behavior, socio-economic, food consumption, food scoring, and food system sustainability. Briefly, UPFs are defined as containing at least one marker of ultra-processing (MUP). MUPs are (1) cosmetic additives, (2) aromas, (3) some highly processed carbohydrates, proteins, fats, and/or fiber, and (4) drastic processes directly applied to food such as extrusion cooking or puffing. The first three categories of MUPs are on the food packaging in the list of ingredients, and are extracted, then purified, from raw foods or coming from artificial syntheses, leading to a-matrix/a-cellular compounds. Therefore, the core paradigm to define MUP is extreme food matrix degradation, and for UPF, matrix artificialization. Besides, UPFs are more than just junk food, encompassing numerous industrialized foods, falsely presented as healthy, for example, animal-based food analogs, but also organic, vegan, gluten-free, micronutrient-enriched, and/or light foods. In this way, UPFs are "high-quality junk foods." Otherwise, UPF being a holistic and indivisible concept by essence, we propose in this review to analyze ultra-processing at four holistic levels corresponding to four important scientific issues: the food matrix, the dietary pattern, food system, and food scoring. We reached the main conclusion that UPFs should be first studied with a holistic and scientifically based approach, not a reductionist one. Otherwise, we take the risk of performing greenwashing and create still more new health threats at a global level.

ХОРАЗМ ВА БУХОРО ССРДАГИ ПАХТАЧИЛИК АҲВОЛИ МАВЗУСИНИНГ ТАРИХШУНОСЛИГИ ВА МАНБАШУНОСЛИГИ МАСАЛАСИ

This article analyzes the issues of source science and historiography of the subject of cotton cultivation in Khorezm and Bukhara People's Soviet Republics. In the grand plans of Soviet Russia, Uzbekistan was considered only as a peripheral country supplying raw cotton. This led to a one-sided development of Uzbekistan's economy.

COMMENT ON THE PARADOXES OF SCIENTIFIC, PRACTICAL AND OFFICIAL INTERPRETATIONS AND DEFINITIONS OF LEGAL NORMS USING THE EXAMPLE OF THE CRIMINAL CODE OF THE AZERBAIJAN REPUBLIC

This article is devoted to one of the most important issues of legal science - the interpretation of legal norms. Based on the study of doctrinal and official interpretation materials, problematic issues of a theoretical and practical nature are revealed, which negatively affect the quality of the results of the considering scientific and practical activity. According to the authors of this article, the main reasons for the pressing problems of interpretation of legal norms lie in the destructive nature of the modern methodology of legal science, which we inherited as the “legacy” of the Soviet legal school. As a result of the research, reasoned proposals were formulated to enrich and deepen the fundamental foundations of the methodology of legal science.

Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption

Nowadays, cybersecurity has grown into a more significant and difficult sci-entific issue. The recognition of threats and attacks meant for knowledge and safety on the internet is growing harder to detect. Since cybersecurity guar-antees the privacy and security of data sent via the Internet, it is essential, while also providing protection against malicious attacks. Encrypt has grown into an answer that has become an essential element of information security systems. To ensure the security of shared data, including text, images, or videos, it is essential to employ various methods and strategies. This study delves into the prevalent cryptographic methods and algorithms utilized for prevention and stream encryption, examining their encoding techniques such as advanced encryption standard (AES), Blowfish, Twofish, Salsa20, and ChaCha20. The primary objective of this research is to identify the optimal times and throughputs (speeds) for data encryption and decryption processes. The methodology of this study involved selecting five distinct types of images to compare the outcomes of the techniques evaluated in this research. The as-sessment focused on processing time and speed parameters, examining visual encoding and decoding using Java as the primary platform. A comparative analysis of several symmetric key ciphers was performed, focusing on handling large datasets. Despite this limitation, comparing different images helped evaluate the techniques' novelty. The results showed that ChaCha20 had the best average time for both encryption and decryption, being over 50% faster than some other algorithms. However, the Twofish algorithm had lower throughput during testing. The paper concludes with findings and suggestions for future improvements.

Hubs for Interactive Literature (HILs) as a Complimentary Visual Tool for Reviews

In the last few years, microplastics research has exploded, with the field exploring new procedures and techniques that focus on a variety of scientific and policy issues. As there are not standardized definitions for many terms in the field, including the term microplastic itself, researchers utilize the same labels to describe different aspects of microplastic pollution. Here we provide a visual tool, called a Hub for Interactive Literature (HIL), to assist researchers in identifying and targeting specific literature. Currently, there are four Hubs for Interactive Learning (HILs) corresponding to previously published reviews, including a scoping review of microplastics literature as well as three reviews examining the human exposure and health effects of microplastics, the unique liver carcinogenicity of polyvinyl chloride (PVC) microplastics, and micro and nanoplastics found in the air. The HILs incorporate all of the literature used to produce the corresponding reviews. A couple of advantages that HILs provide in their capacity as a supportive instrument are the filtering options and easily accessed original references. This tool can be leveraged by researchers to rapidly review microplastics research and isolate specific subtopics of interest to develop new conclusions and quickly identify data gaps. We give an in-depth look at the HIL corresponding to a scoping review of microplastics literature to exhibit the novel functionality and advantages of this exciting tool. We demonstrate a novel world map of the literature to show that microplastics are a global scientific and public health issue. The map offers the additional functionality of filtering the references by country. We also provide a brief description of the current HILs to show the flexibility and personalization available when using this method.

When Science Meets Digital Branding

The science media ecosystem continues to dramatically change with the proliferation of digital media channels and platforms. While there are many different types of digital media filling this void, the use of online videos, particularly on YouTube, has become one of the main sources for information, specifically for science and environmental issues. While most researchers examine the content of online science news and information, we show that digital trace data, including hyperlinks, “likes”, and comments that are unique to participatory online media, can reveal interesting patterns about how and why people communicate and engage with content as well as other community members. Using climate change as a case study, we demonstrate how researchers can harness hyperlinks to understand who produces controversial science news and information online, and the motivations underlying how content creators use of hyperlinks for science communication and public engagement. While many existing studies in science communication have focused on understanding the political dimension of online science news and information, our paper reveals that digital branding is a crucial part of science communication on video-based platforms such as YouTube and TikTok. We find that amateur content creators and new media outlets use hyperlinks to promote their channel and other social media presences to raise revenue. While self-promotion through citing links to one’s other social media platforms is associated with more views, linking to revenue raising websites is not associated with more views. We discuss the implications of these contexts for the online science news and information ecosystem.

A Framework Model of Mining Potential Public Opinion Events Pertaining to Suspected Research Integrity Issues with the Text Convolutional Neural Network model and a Mixed Event Extractor

With the development of the Internet, the oversight of research integrity issues has extended beyond the scientific community to encompass the whole of society. If these issues are not addressed promptly, they can significantly impact the research credibility of both institutions and scholars. This article proposes a text convolutional neural network based on SMOTE to identify short texts of potential public opinion events related to suspected scientific integrity issues from common short texts. The SMOTE comprehensive sampling technique is employed to handle imbalanced datasets. To mitigate the impact of short text length on text representation quality, the Doc2vec embedding model is utilized to represent short text, yielding a one-dimensional dense vector. Additionally, the dimensions of the input layer and convolution kernel of TextCNN are adjusted. Subsequently, a short text event extraction model based on TF-IDF and TextRank is proposed to extract crucial information, for instance, names and research-related institutions, from events and facilitate the identification of potential public opinion events related to suspected scientific integrity issues. Results of experiments have demonstrated that utilizing SMOTE to balance the dataset is able to improve the classification results of TextCNN classifiers. Compared to traditional classifiers, TextCNN exhibits greater robustness in addressing the problems of imbalanced datasets. However, challenges such as low information content, non-standard writing, and polysemy in short texts may impact the accuracy of event extraction. The framework can be further optimized to address these issues in the future.

Detection of Ascorbic Acid by Two-Dimensional Conductive Metal-Organic Framework-Based Electrochemical Sensors.

The realization of efficient and accurate detection of biomolecules has become a key scientific issue in the field of life sciences. With the rapid development of nanotechnology, electrochemical sensors constructed from the superior physical and chemical properties of nanomaterials show faster and more accurate detection. Among nanomaterials, two-dimensional conductive MOF (2D cMOF) is considered to be a star material in electrochemical sensors due to its remarkable conductivity, high porosity, and stability. In this paper, a Cu3(HHTP)2/SPE electrochemical sensor for the detection of ascorbic acid (AA) was constructed by modifying 2D cMOF (Cu3(HHTP)2) on the surface of the screen-printed electrode (SPE). The sensor exhibited excellent catalytic activity in the detection of AA, with a lower detection limit of 2.4 μmol/L (S/N = 3) and a wide linear range of 25-1645 μmol/L. This high catalytic activity can be attributed to the abundant catalytic sites in Cu3(HHTP)2 and the rapid electron transfer between Cu+ and Cu2+, which accelerates the oxidation of AA. This work lays a foundation for the subsequent development of MOFs with special electrochemical catalytic properties and the integration of 2D cMOF into intelligent electrical analysis devices.

Opinion: Strengthening research in the Global South – atmospheric science opportunities in South America and Africa

Abstract. To tackle the current pressing atmospheric science issues, as well as those in the future, a robust scientific community is necessary in all regions across the globe. Unfortunately, this does not yet exist. There are many geographical areas that are still underrepresented in the atmospheric science community, many of which are in the Global South. There are also larger gaps in the understanding of atmospheric composition, processes, and impacts in these regions. In this opinion, we focus on two geographical areas in the Global South to discuss some common challenges and constraints, with a focus on our strengths in atmospheric science research. It is these strengths, we believe, that highlight the critical role of Global South researchers in the future of atmospheric science research.

INDEX ASSESSMENT OF PERIODONTAL TISSUES AND DETERMINATION OF TREATMENT NEEDS IN PATIENTS WITH CHRONIC RHEUMATIC HEART DISEASE

This study addresses the pressing scientific and practical issue in modern dentistry: enhancing dental care effectiveness for patients with chronic rheumatic heart disease. The purpose of this research is to comprehensively assess the condition of tooth-supporting tissues and quantify inflammatory phenomena in periodontal tissues among patients with chronic rheumatic heart disease, as well as to determine the necessary extent of periodontal care based on periodontal indices. Participants and methods. The periodontal tissues of 719 patients with chronic rheumatic heart disease from the Rheumatology Department of Lviv Regional Clinical Hospital, along with 290 clinically healthy individuals in the comparison group, were examined. To evaluate the clinical course of dystrophic-inflammatory periodontal diseases in patients with chronic rheumatic heart disease, we examined 267 individuals in the main group who had generalized periodontitis, categorized as follows: 42 patients with initial stage (I degree), 115 with moderate (II degree), and 110 with severe (III degree) periodontitis. The comparison group comprised 70 patients diagnosed with generalized periodontitis, among them, 21 had initial-stage disease, 29 had moderate-stage disease, and 20 had severe-stage disease. During the analysis, the oral hygiene was assessed by applying hygienic indices by J.C. Green and J.R. Vermillion (OHI-S, 1964) and Fedorov-Volodkina. The Muhlemann and Son index was used to objectively measure gingival papillary bleeding (RVI); the papillary-marginal-alveolar index (PMA) in the Parma modification, in combination with the Schiller-Pysarev test (1989), was employed to evaluate gingival inflammation. The periodontal index (PI) by A.L. Russel (1956) was used to assess the state of periodontal tissues, and pathological changes were recorded using the periodontal screening PSR test. Results were scored, and based on established criteria and scores, the need for treatment and its extent were determined. Results and discussion. According to the results of dental examinations in patients with chronic rheumatic heart disease, a high prevalence of periodontal diseases was found, reaching 92.49%. This was 13.18% higher compared to the prevalence in the control group. Dystrophic-inflammatory conditions with advanced severity levels were predominant, as evidenced by the index indicators. In chronic rheumatic heart disease patients, the average periodontal index was 6.11±0.10, compared to 4.14±0.19 in clinically healthy individuals (p < 0.05). Moreover, a higher lesion of periodontal tissues was observed in younger age groups. As the duration of rheumatic disease increased, the frequency of detecting generalized periodontitis also increased, with this condition being diagnosed in all subjects with a 10-year history of rheumatic disease. Conclusion. The Analysis of the research data on the condition of periodontal tissues, along with objective index assessments, reveals the following: periodontal diseases are more prevalent in individuals with chronic rheumatic heart disease, particularly affecting younger age groups. The severity and progression of these diseases are influenced by the course of the underlying condition. This underscores the presence of pathogenetic conditions that contribute to the rapid progression of the dystrophic-inflammatory process in periodontal tissues. It also emphasizes the importance of providing specialized periodontal care to patients with chronic rheumatic heart disease, with the level of care directly linked to the course and duration of the systemic disease.

Evaluating Digitalized Visualization Interfaces: Integrating Visual Design Elements and Analytic Hierarchy Process

This study addresses a fundamental scientific issue in digital interface design: the quantification of visual elements to enhance interface efficiency and user satisfaction. We propose an innovative framework combining the Analytic Hierarchy Process with visual design principles to quantitatively define and optimize design elements. The core of our research is a quantitative assessment method for interface design, aiming to advance the scientific understanding and development of digital user experience. We anticipate this approach will reveal the interplay between functionality, aesthetics, and emotion, guiding the creation of more appealing and efficient interfaces. Our findings clarify the scientific issue of integrating aesthetics with functionality in digital interface design, offering a systematic solution. This not only aids designers and researchers in understanding and evaluating the impact of interface design but also lays a solid theoretical and methodological foundation for future studies, encouraging a deeper scientific comprehension of the integration of aesthetics and functionality in interface design and exploring its application in crafting more effective and enjoyable user experiences.

Ten key issues for ecological restoration of territorial space.

This study innovatively puts forward the three-stage restoration goals and cutting-edge key scientific issues of ecological restoration, as well as their relationships.

The basic characteristics of paste backfill materials based on highly active mineral admixtures: Part I. Preliminary study on flow, mechanics, hydration and microscopic properties

The cost performance of backfill materials in coal mines has long limited the widespread use of backfill technology. Therefore, developing backfill materials that are both cost-effective and high-performing is a pressing scientific issue that requires immediate attention. This study proposes replacing ordinary Portland cement (OPC) with highly active mineral admixtures, such as mineral powder and limestone powder, to prepare a green, low-cost, and high-performance coal mine backfill material. The use of mineral admixtures can improve the performance of the backfill material while reducing its environmental impact. The proposed approach is cost-effective and environmentally friendly. The study employed experimental tests and microscopic characterization methods, such as the slump test, hydration heat test, uniaxial compressive strength test, and microstructure test, to clarify the synergistic reaction mechanism of highly active mineral admixture-based paste backfill material (HAM-PBM). This clarification is helpful in regulating the macroscopic properties of hardened paste. The results show that: (1) The rheological properties of fresh HAM-PBM slurry are consistent with the Herschel-Bulkley model, and its fluidity meets the technical requirements for coal mine backfilling. The slump of fresh HAM-PBM slurry ranges from 140 to 145 mm, and the yield stress ranges from 3.188 to 12.819 Pa. (2) Highly active mineral admixtures significantly affect the early hydration process of HAM-PBM. The parameters of the hydration characteristics during the initial dissolution stage, acceleration stage, deceleration stage, and stabilization stage gradually decrease, while the duration of the induction stage gradually increases. This confirms that the early hydration activity of mineral powder (MP) and limestone powder (LF) is lower than that of OPC. (3) The uniaxial compressive strength (UCS) of the MP series exhibits an "anti-hook" change pattern, while the UCS of the LF series shows a decreasing change pattern. The microstructure, including the number of hydration products, microscopic density, and other characteristics, follows the same change pattern as the UCS. (4) Based on the synergistic reaction mechanism of hardened slurry, it is recommended that MP replace a maximum of 10 % of OPC and LF replace a maximum of 5 % of OPC. The need for composite replacement of OPC with MP and LF is clarified, resulting in a cost-effective coal mine backfill material. This study has contributed to the national "double carbon" policy and the low-cost backfilling application of coal mines.

The immune response of nano carbon-based photic-driving vaccines to severe acute respiratory syndrome coronavirus 2

As the most severe novel infectious disease in this century, coronavirus disease 2019 (COVID-19) faces tremendous challenges due to the hysteresis of drugs and vaccine development. Elucidating the panoramic mechanism of coronavirus-host immune interaction is a strategy for disease surveillance, diagnosis, treatment, prevention, and immunity assessment of COVID-19. A robust carbon nanotube (CNT)-based photic vaccine technology contributes to address the core scientific issues of these challenges. This perspective states the latest prevention and control strategy of CNT-based photic vaccine and its broad-spectrum resistance to high transmissible and pathogenic variants. Furthermore, this perspective covers the potential immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) under the CNT-based photic vaccine intervention and finally evaluates its efficacy and the underlying interactive mechanisms. In the future, findings of the highly efficient and conservative T cell epitopes depending on an intelligent chem-physical modulation would provide a promising basis for the development of next generation vaccines. Ideally, these next generation vaccines are prone to be with the function of dynamic allostery responding to the chem-physical changing and present the allosteric epitopes which are affinity to the viral variation.

Features of the biological development of schoolchildren in the Moscow region with different levels of health

BACKGROUND: The study of the health status of children and the dynamics of the physical and biological development of schoolchildren remains an urgent scientific issue both in our country and worldwide. The lifestyles of modern children and adolescents change based on regional standards for physical and biological development. AIM: To analyze the dynamics of puberty in modern schoolchildren depending on their health status and update biological development standards of schoolchildren in the Moscow region. MATERIALS AND METHODS: In the 2020s, an observational single-center cross-sectional study of the health status and physical and biological development of schoolchildren aged 12–16 years was performed in Moscow. Physical and biological development was assessed in each age and sex group according to standard methods using certified anthropometric instruments to measure height and weight. RESULTS: The study involved 508 schoolchildren with different levels of health, who were divided into groups 1 (n=107, 21.1%), 2 (n=208, 58.7%), and 3 (n=103, 20.2%). Diseases of the eye and its adnexal apparatus (24%) were prevalent functional abnormalities, and musculoskeletal system and connective tissue diseases were found in 20% of the sample. The level of biological development in groups 1 and 2 in comparison with group 3 did not differ significantly (р 0.05); however, later development of secondary sexual characteristics tended to occur in schoolchildren with chronic diseases. Significant (р=0.038) differences in the age at menarche in girls were found depending on the level of physical development. Thus, when developing standards for biological development, data of schoolchildren in groups 1 and 2 must be considered. CONCLUSION: The results of this study clearly demonstrated the prevalence of functional abnormalities and chronic diseases of various nosologies among schoolchildren in the Moscow region. The results of the study provided an update on the standards for the biological development of schoolchildren in Moscow.

Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research

In this discussion text (proposed as an opinionated exposition on a relevant scientific issue, with the aim of stimulating further discussion in a broader scientific forum) the author comments on mistakes that should be avoided when trying to use artificial intelligence (AI) in research, with special focus on soil science and environmental sciences. The author indicates aspects of research where it would not be reasonable (and/or correct) to use AI, while showing other aspects where an appropriate use of AI tools could be of real help for researchers in these fields and the whole society. The use of AI in investigation is a cutting-edge theme needing reflection and proposals to extract its best without causing an inappropriate deviation of resources, as well as a waste of time for people involved in direct research tasks or assessment, and without provoking undesirable side effects.

Radiation Dose-Volume-Response Relationships for Adverse Events in Childhood Cancer Survivors: Introduction to the Scientific Issues in PENTEC

At its very core, radiation oncology involves a trade-off between the benefits and risks of exposing tumors and normal tissue to relatively high doses of ionizing radiation. This trade-off is particularly critical in childhood cancer survivors (CCS), in whom both benefits and risks can be hugely consequential due to the long life expectancy if the primary cancer is controlled. Estimating the normal tissue-related risks of a specific radiation therapy plan in an individual patient relies on predictive mathematical modeling of empirical data on adverse events. The Pediatric Normal-Tissue Effects in the Clinic (PENTEC) collaborative network was formed to summarize and, when possible, to synthesize dose-volume-response relationships for a range of adverse events incident in CCS based on the literature. Normal-tissue clinical radiation biology in children is particularly challenging for many reasons: (1) Childhood malignancies are relatively uncommon-constituting approximately 1% of new incident cancers in the United States-and biologically heterogeneous, leading to many small series in the literature and large variability within and between series. This creates challenges in synthesizing data across series. (2) CCS are at an elevated risk for a range of adverse health events that are not specific to radiation therapy. Thus, excess relative or absolute risk compared with a reference population becomes the appropriate metric. (3) Various study designs and quantities to express risk are found in the literature, and these are summarized. (4) Adverse effects in CCS often occur 30, 50, or more years after therapy. This limits the information content of series with even very extended follow-up, and lifetime risk estimates are typically extrapolations that become dependent on the mathematical model used. (5) The long latent period means that retrospective dosimetry is required, as individual computed tomography-based radiation therapy plans gradually became available after 1980. (6) Many individual patient-level factors affect outcomes, including age at exposure, attained age, lifestyle exposures, health behaviors, other treatment modalities, dose, fractionation, and dose distribution. (7) Prospective databases with individual patient-level data and radiation dosimetry are being built and will facilitate advances in dose-volume-response modeling. We discuss these challenges and attempts to overcome them in the setting of PENTEC.

Chromatographic methods and approaches for bioequivalence study, drug screening and enantioseparation of indapamide

AbstractIndapamide (Indp) and certain other diuretics have been abused in sports, therefore, having sensitive methods for its detection and assay in biological fluids (whole blood, plasma, serum, and urine) is of significant importance. The racemic mixture of Indp is being used as an active pharmaceutical ingredient among other commonly prescribed diuretics. The regulatory authorities and pharmaceutical industries demand analytical methods for successful enantioseparation of such molecules. The paper presents a critical overview of the scientific issues of the application of contemporary techniques involving various chromatographic approaches (with liquid or supercritical fluid as mobile phases) and capillary electrophoresis and method development, for drug screening, assay, bioequivalence studies and enantioseparation of indapamide with their results. It also covers the historical developments that led to significant breakthroughs in research and concise evaluations of research in the area.Different types of chromatographic methods (HPLC, CEC, SFC etc) discussed herein provide an insight and a choice to select a method to (i) screen Indp for drug abuse, (ii) separate, isolate and quantify the enantiomers of Indp and (iii) investigate their pharmacokinetics as markedly different species and not as a total drug. The article evaluates the field's status with a broad base and practical oriented approach so that the underlying principles are easily understood to help chemists and non-specialists gain useful insights into the field outside their specialization and provide experts with summaries of key developments. To the best of authors' knowledge there has been no attempt to review such methods for analysis of Indp and this is the first report of its kind.