Integration Platform Research Articles

Study of integration processes in the pharmaceutical market in the context of the development of territorial pharmaceutical ecosystems

Introduction. The ecosystem approach to the organization of business processes in the pharmaceutical market meets the prevailing trends, so the growth index of e-commerce in the retail sector of medicines for 5 years amounted to 1.87. The market distribution sector of medicines in the Russian Federation is characterized by a shift in corporate governance towards marketing cooperation based on aggregation electronic trading platforms (AETPS). Development of territorial pharmaceutical ecosystems (TFE) As a new integrative tool for managing the pharmaceutical development – production – distribution cycle, in order to achieve the target model of PHARMA 2030 at the territorial level, it requires the development of regulatory mechanisms for managing the supply of medicines. Objective: characteristics of integration processes in the industrial, wholesale and retail sectors of the pharmaceutical market to assess the potential competitiveness of territorial pharmaceutical ecosystems. Material and methods. The primary data for the analysis were: volumes of wholesale commodity residues of medicines produced in the Ural Federal District (461 registration certificates; proprietary Price and Distribution Test data for 230 trade names of LP EMIS data 2021–2022; Alpharm data 2021–2022; Datainsight 2022. In the course of the study, a structural analysis of the pharmaceutical market, a functional analysis of participants in the pharmaceutical product chain, and a marketing analysis were carried out. Results. It was found that the dynamics of the AETP segment development corresponds to the outstripping growth of highly integrated platforms: the short-term growth index of 5-pl AETP (Uteca) is 164%, 4-pl (Eapteca) is 55%, 3pl-AETP (averaged) is 36.5%. The absence of formal mechanisms of regional protectionism for the sale of finished dosage forms of local manufacturers in the Ural Federal District has been revealed. We have obtained the results of evaluating the effect of ecosystem integration of certain types of pharmaceutical market participants. For manufacturers of medicinal products, it was determined that the median coefficient of penetration of the local assortment of medicinal products into the pharmaceutical market in the context of ATX groups of level 2 is 0.67, which indicates a significant diversification of the assortment portfolio and the possibility of its aggregation without a barrier of internal competition. In the wholesale drugs sector, the potential for saving margins on medicines has been identified when implementing the scenario of localization of supplies in production regions in low and medium-low price ranges (30 – 550 rubles/unit), varying between 53–67%. It was found that the median share of regional distribution in the Ural Federal District (in packages) is 20.72%. It has been established that the Ural Federal District is one of the leaders in terms of the share of omnichannel consumers in the pharmaceutical market (63%), which is a significant incentive for the integration of organizations in the retail sector of the pharmaceutical market into the ecosystem 5pl platform. Conclusion. Situational analysis of the morphology of cooperative interactions in the pharmaceutical market allowed us to identify the prerequisites for the formation of ecosystem-organized management structures in the pharmaceutical market system – territorial pharmaceutical ecosystems. We have systematized incentives for ecosystem determination of medicines supplies, and found that: an additional channel for the market distribution of the industrial range of medicicnes in the Urals is not associated with a barrier to internal competition of pharmaceutical plants; the inclusion of regional suppliers in TFE will allow to form additional competitiveness in the “buyer's market” in conditions of market dominance of federal suppliers; the omnichannel approach to the distribution of the retail range of TFE in pharmacy organizations has a high projected conversion rate. A detailed assessment of integration processes in certain sectors of the pharmaceutical market did not reveal critical barriers to the introduction of TFE.

Exemplary Practices in Kidney Care: Sharing the Experience of " Disease Care Certification"

<p>2019年8月，本院腎臟團隊首次參與醫策會「腎臟病照護品質認證」，在委員查核下通過認證。近三年來，本院透過外部審核和交流，不斷增強自身實力，凝聚成員共識，進行腎臟照護標準化。以「病人為中心」執行醫療服務，促進跨領域合作，拓展研究領域。本團隊亦致力於品質改進和減少異常發生，建立新透析中心積極應對COVID-19及其他嶄新挑戰。在數位轉型過程中，本院更引進電子病歷智慧輔助系統，利用One System整合平台提升照護效率。同時，針對末期腎病(Pre-ESRD)5期病人，提前啟動醫病共享決策(SDM)，成立「愛腎家族」群組，強調醫療團隊成員和病人之間的合作。在高品質連續性照護基礎上，為急性腎損傷、慢性腎臟病、和需要透析的病人建立全面性的照護機制。</p> <p> </p><p>In August 2019, our hospital’s renal team participated for the first time in the Disease-Specific Care Kidney Disease certification program and achieved certification from the Joint Commission of Taiwan. Over the preceding three years, this team has consistently strengthened itself through external audits and exchanges, fostering consensus among its members and achieving standardization in renal care. Focusing on patient-centered care, the team’s main goals are to enhance core medical services, promote cross-disciplinary integration, and expand research areas. Our team is also dedicated to improving quality of care and mitigate anomalies. Furthermore, a new dialysis center was established to proactively respond to COVID-19 and other emerging challenges. During the digital transformation process, our hospital introduced an intelligent electronic medical record assistance system and utilized the One System integration platform to enhance care efficiency. For patients with stage 5 pre-end-stage renal disease, we proposed early shared decision-making standards, established a “Love Kidney Family” group, and emphasized the importance of collaboration between healthcare providers and patients. These initiatives were aimed at developing a foundation for offering comprehensive, high-quality care for patients with acute kidney injury, chronic kidney disease, and those requiring dialysis.</p> <p> </p>

Platform integration in ride-sourcing markets with heterogeneous passengers

This paper explores the impacts of a novel business model termed platform integration, which enables passengers to simultaneously request on-demand rides from multiple ride-sourcing platforms via a third-party integrator. In particular, we employ an equilibrium model where passenger demand and driver supply are endogenously dependent on the prices and wages that emerge from the competitive interaction between two platforms, with and without an integrator. A Hotelling model is adopted to characterize passengers’ heterogeneity in service preference for different platforms. We employ the concepts of a Nash equilibrium and a shared monopoly to analyze equilibrium outcomes that can arise in various settings of demand and supply characteristics with and without platform integration. We find that how the platform should adjust its price and wage at Nash equilibrium as potential demand increases is affected by the nature of supply. We also find that the profit at Nash equilibrium can increase or decrease in supply capacity depending on the competitive situation of the platforms. We build on these equilibrium results to analyze how platform integration affects the platform’s decision-making of price and wage, and market performance. We find that platform integration can increase platform profit but reduce driver income, and may hurt passengers who have a strong preference for one certain platform, especially in the case of a less heterogeneous supply.

GaitKeeper: An AI-Enabled Mobile Technology to Standardize and Measure Gait Speed.

Gait speed is increasingly recognized as an important health indicator. However, gait analysis in clinical settings often encounters inconsistencies due to methodological variability and resource constraints. To address these challenges, GaitKeeper uses artificial intelligence (AI) and augmented reality (AR) to standardize gait speed assessments. In laboratory conditions, GaitKeeper demonstrates close alignment with the Vicon system and, in clinical environments, it strongly correlates with the Gaitrite system. The integration of a cloud-based processing platform and robust data security positions GaitKeeper as an accurate, cost-effective, and user-friendly tool for gait assessment in diverse clinical settings.

Theoretical Aspects of Transdisciplinarity in Telerehabilitation

This article explores the theoretical aspects of transdisciplinary research, with a specific focus on its application to telerehabilitation. The integration of multiple disciplines – ranging from medicine, digital health, and informatics to engineering and the social sciences – is increasingly necessary to address the complex challenges of delivering effective remote rehabilitation services. The article begins by outlining the conceptual framework, distinguishing between disciplinary, interdisciplinary, multidisciplinary, and transdisciplinary approaches, and highlighting the importance of transcending traditional disciplinary boundaries. The theoretical foundations discussed provide a basis for understanding how the convergence of diverse fields can lead to innovative solutions in telerehabilitation. The integration of disciplines is examined in detail, illustrating how collaborative efforts across medicine, technology, and behavioral sciences can enhance patient outcomes, improve accessibility, and foster the development of personalized rehabilitation plans. The article also covers the practical implications for clinical practice, emphasizing the need for a more collaborative model of care delivery and the potential for cost-effective, scalable solutions. Looking toward the future, the article identifies key areas for research, including the development of advanced technologies, exploration of new therapeutic modalities, and consideration of ethical and social impacts. The need for standardization and interoperability in telerehabilitation systems is also underscored, as these will be critical to ensuring the seamless integration of various technologies and platforms.

Integration of endoscopic professional database development and image annotation platform: Radiation control plan for gastric examination

Gastric examination is a common endoscopic procedure that can be used to assess stomach diseases and lesions. However, because the stomach examination requires the use of radiation imaging technology, patients are exposed to radiation risks. Therefore, the aim of this study is to develop a specialized database of endoscopy and integrate it with an image annotation platform to achieve effective control of gastric examination radiation. An image labeling platform was developed to label gastric lesions and structures, annotate and label endoscopic images, and describe the details of gastric lesions more comprehensively and accurately. A complete radiation imaging control system for gastric examination was formed by integrating professional database and image labeling platform. Through this integrated system, doctors can quickly access the endoscopy images in the database when performing stomach exams, and label lesions on the image labeling platform to more accurately evaluate the lesions and structure of the stomach, while reducing the number of times patients undergo radiation examinations. The results show that the radiation imaging of gastric examination can be effectively controlled through the integration of endoscopy database and image annotation platform. This integrated system helps to improve the accuracy and safety of the examination, and has important clinical application value for both doctors and patients.

A Sixteen‐user Time‐bin Entangled Quantum Communication Network With Fully Connected Topology

AbstractQuantum key distribution (QKD) promises unconditionally information‐theoretic secure communication guaranteed by the laws of physics and has become one of the most crucial candidates in future security aspects. Developing a large‐scale network with a scalable and integrated scheme is of great significance for expanding the advantages of QKD protocols among multiple users. Here, a sixteen‐user fully connected quantum network by using a novel time‐bin entangled source implemented in the integrated multi‐channel periodically poled lithium niobate waveguides is proposed. Based on this entangled source, the quantum processor prepares 120 entangled photon pairs to allocate 15 links to each user by utilizing dense wavelength division multiplexing technology. To enable the users’ communication with each other simultaneously, a phase‐compensated Mach‐Zehnder Interferometer based on a Fourier‐transform setup to control the relative phase of the interferometer for all the involved wavelength channels is developed. The experimental results show that the network can support sixteen users for long‐distance communication with each other simultaneously. The novel scheme of time‐bin entangled sources paves an efficient way for implementing large‐scale quantum resources in a compact integrated platform, and the time‐bin entangled network promises a new potential for constructing large‐scale and extensible quantum networks with an integrated photonic architecture.

Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research.

Microreactor technologies have emerged as versatile platforms with the potential to revolutionize chemistry and materials research, offering sustainable solutions to global challenges in environmental and health domains. This survey paper provides an in-depth review of recent advancements in microreactor technologies, focusing on their role in facilitating accelerated discoveries in chemistry and materials. Specifically, we examine the convergence of microfluidics with machine intelligence and automation, enabling the exploitation of the cyber-physical environment as a highly integrated experimentation platform for rapid scientific discovery and process development. We investigate the applicability and limitations of microreactor-enabled discovery accelerators in various chemistry and materials contexts. Despite their tremendous potential, the integration of machine intelligence and automation into microreactor-based experiments presents challenges in establishing fully integrated, automated, and intelligent systems. These challenges can hinder the broader adoption of microreactor technologies within the research community. To address this, we review emerging technologies that can help lower barriers and facilitate the implementation of microreactor-enabled discovery accelerators. Lastly, we provide our perspective on future research directions for democratizing microreactor technologies, with the aim of accelerating scientific discoveries and promoting widespread adoption of these transformative platforms.

ERNA-IDO: A One-stop Platform for Identification, Interactome Discovery, and Functional Annotation of Enhancer RNAs.

Growing evidence supports the transcription of enhancer RNAs (eRNAs) and their important roles in gene regulation. However, their interactions with other biomolecules and their corresponding functionality remain poorly understood. In an attempt to facilitate mechanistic research, this study presents eRNA-IDO, the first integrative computational platform for the identification, interactome discovery, and functional annotation of human eRNAs. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID can identify eRNAs from de novo assembled transcriptomes. eRNA-ID includes 8 kinds of enhancer makers, enabling users to customize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell-specific/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNA and coding gene. The prebuilt networks include the Genotype-Tissue Expression (GTEx)-based co-expression networks in normal tissues, The Cancer Genome Atlas (TCGA)-based co-expression networks in cancer tissues, and omics-based eRNA-centric regulatory networks. eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.

ISECRETE: Integrating Microfluidics and DNA Proximity Amplification for Synchronous Single-Cell Activation and IFN-γ Secretion Profiling.

Cytokines, crucial in immune modulation, impact disease progression when their secretion is dysregulated. Existing methods for profiling cytokine secretion suffer from time-consuming and labor-intensive processes and often fail to capture the dynamic nature of immune responses. Here, iSECRETE, an integrated platform that enables synchronous cell activation, wash-free, and target-responsive protein detection for single-cell IFN-γ cytokine secretion analysis within 30min at room temperature is presented. By incorporating a DNA proximity assay (DPA) into a multifunctional microfluidic system, one-pot homogenous cytokine signal amplification, with a limit of detection of ≈50 secreted molecules per cell is achieved. iSECRETE can robustly handle various sample types that are shown. Two distinct immune activation assay modalities are demonstrated on iSECRETE. Finally, the detection of single-cell IFN-γ secretion as an activation hallmark of chimeric antigen receptor T cells within 6h of exposure to cancer targets is shown. iSECRETE represents the fastest single-cell sample-to-result cytokine secretion assay to date, providing a powerful tool for advancing the understanding of biological phenotypes, functions, and pathways under in vivo-like conditions.

Leveraging Clinical Data Treasures: Integration of an AI Platform into Clinical IT.

In recent years, there has been a rapid growth in the use of AI in the clinical domain. In order to keep pace with this development, a framework should be created in which clinical AI models can be easily trained, managed and applied. In our study, we propose a clinical AI platform that supports the development cycle and application of clinical AI models. We consider not only the development of an isolated clinical AI platform, but also its integration into clinical IT. This includes the consideration of so-called medical data integration centers. We evaluate our approach with the aid of a clinical AI use case to demonstrate the functionality of our clinical AI platform.

Integrated and Interoperable Platform for Detecting Masses on Mammograms.

The screening and diagnosis of breast cancer is a major public health issue. Although deep learning models are proving highly effective in breast imaging, these models are not yet readily accessible to a wide audience. In order to promote the widespread dissemination of such models, this article introduces a free and open-source, integrated platform for the automated detection of masses on mammograms. A state-of-the-art RetinaNet model is trained on this task and the results of the inference are encoded using the DICOM-SR interoperable format. These contributions present a significant step towards overcoming the accessibility gap in deep learning for breast imaging.

Research on Enhancement Strategies for the Integration of Industry-Education Information Technology Platforms in Vocational Colleges

During this pivotal period in which China's vocational education is transitioning from a scale-oriented to a connotation-oriented development, efforts to reform vocational education are continuously intensifying, with the integration of industry and education consistently serving as the key logical thread in the reform of the modern vocational education system. Educational informatization stands as a crucial indicator of educational modernization, and the comprehensive promotion of educational modernization through educational informatization is a significant strategic decision for China's educational reform and development. However, integration of industry and education has not formed mutual integration and commonality between the entire school and enterprise levels in aspects such as talent cultivation, faculty construction, and scientific research cooperation, leading to a lack of a scientific evaluation system for assessing the effectiveness of this integration. Therefore, vocational colleges should actively construct an integration of industry and education information management platform based on the thinking of integration of industry and education and the ISO 25010 software quality model. This will further improve and enhance the service capabilities of the integration of industry and education information technology platform, facilitate multi-party interactive cooperation among governments, industries, enterprises, and schools, better meet the requirements of talent cultivation model transformation and innovative development in the construction of higher vocational colleges, and standardize the process of integration of industry and education, making it more transparent, visualizing data analysis, and comprehensively evaluating effectiveness.

Robotic Resection of Spinal and Paraspinal Tumors.

Robotic arm surgical systems provide minimally invasive access and are commonly used in multiple surgical fields, with limited application in neurosurgery. Our institutional experience has led us to explore the benefits of a neurosurgeon trained to perform robotic surgery as part of a multidisciplinary team. The objective of this study is to evaluate the feasibility, safety, and outcomes of robotic resection for spinal nerve sheath tumors (NST). Retrospective case series of robotic-assisted intracavitary approaches and resection of NSTs including thoracic, retroperitoneal, and transperitoneal. Surgical outcomes are compared to a historical cohort of open surgical resection of NSTs. Nineteen cases presented, of which 2 were combined posterior spinal followed by robotic tumor resection. One of 19 cases was converted to an open surgery. Gross total resection was achieved in all cases. There were 2 cases of postoperative Horner's syndrome, and 1 case with an intraoperative durotomy that was repaired primarily with no postoperative sequelae. Median estimated blood loss was 50 cc (range: 5-650) and median length of stay was 1 day (range: 0-6), with 9 (47.4%) patients discharged on postoperative day 1 and 3 (15.8%) patients discharged on an outpatient basis. Compared with our previously reported institutional outcomes for open resection of 25 tumors, there was a significant increase in rates of gross total resection (100 vs 60%, P = .002) and decrease in length of stay (median 1 vs 5 days, P < .0001). Robotic resection of complex paraspinal tumors appears safe and effective including for preservation of neurological function and may reduce surgical morbidity. Integration of robotic surgical platforms holds the potential to significantly affect neurological surgery.

Bound-state-in-continuum guided modes in a multilayer electro-optically active photonic integrated circuit platform: erratum

This erratum includes additional references omitted from the original paper [Optica 11, 706 (2024)OPTIC82334-253610.1364/OPTICA.516044].

THE CONCEPT OF THE ISLAMIC EDUCATION MODEL IN THE TIME OF THE PROPHET SAW AND RECONSTRUCTION FOR THE PRESENT TIME

This study aims to discuss the concept of the Islamic education model during the time of Prophet Muhammad and its reconstruction for the present era. It encompasses Islamic education conducted during two periods, namely the Makkah and Madinah periods, along with the values for reconstructing Islamic education applicable in the modern era. The author employed a literature review method, drawing data from journals, books, and relevant references related to the discussed topic. The study's findings indicate that in reconstructing Islamic education, attention must be given to the harmony of teaching methods. This includes the integration of digital platforms, specialized applications, and artificial intelligence to support learning. Strengthening character education can be achieved through practical learning methods, character-based projects, and collaborative learning. Moreover, holistic Islamic scholarship emphasizes spiritual, intellectual, social, and moral aspects. By adopting the values and methods of Islamic education from the time of Prophet Muhammad and formulating a curriculum aligned with the needs of the current era, it is hoped that contemporary Islamic education can provide a profound and sustainable understanding for learners.

Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality prediction

This study investigates the metabolome of high-quality hazelnuts (Corylus avellana L.) by applying untargeted and targeted metabolome profiling techniques to predict industrial quality. Utilizing comprehensive two-dimensional gas chromatography and liquid chromatography coupled with high-resolution mass spectrometry, the research characterizes the non-volatile (primary and specialized metabolites) and volatile metabolomes. Data fusion techniques, including low-level (LLDF) and mid-level (MLDF), are applied to enhance classification performance. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) reveal that geographical origin and postharvest practices significantly impact the specialized metabolome, while storage conditions and duration influence the volatilome. The study demonstrates that MLDF approaches, particularly supervised MLDF, outperform single-fraction analyses in predictive accuracy. Key findings include the identification of metabolites patterns causally correlated to hazelnut’s quality attributes, of them aldehydes, alcohols, terpenes, and phenolic compounds as most informative. The integration of multiple analytical platforms and data fusion methods shows promise in refining quality assessments and optimizing storage and processing conditions for the food industry.

A fully integrated electronic fabric-enabled multimodal flexible sensors for real-time wireless pressure-humidity-temperature monitoring

Real-time physiological information monitoring can predict and prevent disease, or improve treatment by early diagnosis. A comprehensive and continuous monitoring of human health requires highly integrated wearable and comfortable sensing devices. To address this need, we propose a low-cost electronic fabric-enabled multifunctional flexible sensing integration platform that includes a flexible pressure sensor for monitoring postural pressure, a humidity sensor for monitoring the humidity of the skin surface, and a flexible temperature sensor for visualizing the ambient temperature around the human body. Thanks to the unique rough surface texture, hierarchical structure, and robust electromechanical features of the MXene-modified nonwoven fabrics, the flexible pressure sensor can achieve a monitoring sensitivity of 1529.1 kPa−1 and a pressure range of 150 kPa, which meets the demand for human pressure detection. In addition, the unique porous structure of the fabric and the stacked multilayer structure of MXene enable the humidity sensor to exhibit extremely high monitoring sensitivity, even through clothing, and still be able to detect the humidity on the skin surface. Temperature sensors based on screen-printed thermochromic liquid crystals enable visual monitoring in the range of 0 °C–65 °C. Through further integration with flexible printed circuit board circuits, we demonstrate a proof-of-concept device that enables real-time monitoring of human physiological information such as physical pressure, humidity, and ambient temperature environment, suggesting that the device provides an excellent platform for the development of commercially viable wearable healthcare monitors.

The future of human and animal digital health platforms

Electronic Health (eHealth) has emerged as a pivotal driver of change in modern healthcare, reshaping the way medical information is collected, processed, and utilized. e-health includes digital solutions aimed at improving healthcare delivery, management, and accessibility. The Internet of Medical Things (IoMT) is specifically focused on establishing connections between medical devices and sensors to gather and transmit health-related data. Its primary objective is to enhance healthcare by facilitating real-time monitoring, employing data analytics, and integrating intelligent medical devices. The IoMT and, more broadly, eHealth are yielding positive outcomes, prompting their expanding application into the animal domain. Recent technological advancements facilitate the integration of health platforms, fostering a connection between human and animal health for improved well-being. This article introduces a conceptual framework that synthesizes the main activities in the medial data acquisition-processing pipeline. The framework has been derived from an analysis of the state of the art in the field of the IoMT in human healthcare. Furthermore, the article explores the application of eHealth concepts in the animal domain. Addressing both human and animal health, the paper summarizes the outstanding issues that need to be addressed for the full integration of these technologies into daily life.

Molecularly imprinted paper-based electrochemical cell for 5-hydroxymethylfurfural determination in honey

The concentration of 5-hydroxymethylfurfural (HMF) has become one of the most useful parameters for the quality evaluation of honey − a crucial focus within the honey industry. In this work, a voltammetric molecularly imprinted polymer (MIP) paper-based electrochemical cell for the rapid quantification of HMF in honey is presented for the first time. Carbon ink was used to produce a custom-designed working electrode on chromatographic paper. The selected functional monomer was 4-aminobenzoic acid (ABA). MIP was obtained by electropolymerization directly on electrodes. The preparation process of the MIP, as well as the integrity of the paper platform, were investigated and optimized. Cyclic voltammetry was employed to characterize the sensor. Based on the optimized conditions, it revealed an imprinting factor of 13.5, a linear response in the range between 5.0 and 1000 µmol/L with a limit of detection of 0.608 mg kg−1. The sensor’s practical applicability for the quantification of HMF in honey samples was successfully tested, demonstrating good performance compared with high performance liquid chromatography (HPLC). With the inherent sustainable properties of paper platforms, this cost-effective and disposable MIP paper-based electrochemical cell holds promise as a viable alternative for on-site monitoring of HMF in honey.