Control Of Resources Research Articles

Enhanced diversity on connector hubs following sleep deprivation: Evidence from diffusion and functional magnetic resonance imaging

Sleep deprivation has been demonstrated to exert widespread and intricate impacts on the brain network. The human brain network is a modular network composed of interconnected nodes. This network consists of provincial hubs and connector hubs, with provincial hubs having diverse connectivities within their own modules, while connector hubs distribute their connectivities across different modules. The latter is crucial for integrating information from various modules and ensuring the normal functioning of the modular brain. However, there has been a lack of systematic investigation into the impact of sleep deprivation on brain connector hubs. In this study, we utilized functional connectivity from resting-state functional magnetic resonance imaging, as well as structural connectivity from diffusion-weighted imaging, to systematically explore the variation of connector hub properties in the cerebral cortex after one night of sleep deprivation. The normalized participation coefficients (PCnorm) were utilized to identify connector hubs. In both the functional and structural networks, connector hubs exhibited a significant increase in average PCnorm, indicating the diversity enhancement of the connector hub following sleep deprivation. This enhancement is associated with increased network cost, reduced modularity, and decreased small-worldness, but enhanced global efficiency. This may potentially signify a compensatory mechanism within the brain following sleep deprivation. The significantly affected connector hubs were primarily observed in both the Control Network and Salience Network. We believe that the observed results reflect the increasing demand on the brain to invest more effort at preventing performance deterioration after sleep loss, in exchange for increased communication efficiency, especially involving systems responsible for neural resource allocation and cognitive control. These results have been replicated in an independent dataset. In conclusion, this study has enhanced our understanding of the compensatory mechanism in the brain response to sleep deprivation. This compensation is characterized by an enhancement in the connector hubs responsible for inter-modular communication, especially those related to neural resource and cognitive control. As a result, this compensation comes with a higher network cost but leads to an improvement in global communication efficiency, akin to a more random-like network manner.

Evaluating the Impact of Pre-Configured Uplink Resources in Narrowband IoT.

Deploying Cellular Internet of Things (CIoT) devices in urban and remote areas faces significant energy efficiency challenges. This is especially true for Narrowband IoT (NB-IoT) devices, which are expected to function on a single charge for up to 10 years while transmitting small amounts of data daily. The 3rd Generation Partnership Project (3GPP) has introduced energy-saving mechanisms in Releases 13 to 16, including Early Data Transmission (EDT) and Preconfigured Uplink Resources (PURs). These mechanisms extend battery life and reduce latency by enabling data transmission without an active Radio Resource Control (RRC) connection or Random Access Procedure (RAP). This paper examines these mechanisms using the LENA-NB simulator in the ns-3 environment, which is a comprehensive framework for studying various aspects of NB-IoT. The LENA-NB has been extended with PURs, and our analysis shows that PURs significantly enhance battery life and latency efficiency, particularly in high-density environments. Compared to the default RAP method, PURs reduce energy consumption by more than 2.5 times and increases battery life by 1.6 times. Additionally, PURs achieve latency reductions of 2.5-3.5 times. The improvements with PURs are most notable for packets up to 125 bytes. Our findings highlight PURs' potential to enable more efficient and effective CIoT deployments across various scenarios. This study represents a detailed analysis of latency and energy consumption in a simulated environment, advancing the understanding of PURs' benefits.

Promoting gender equity in a home visits programme: a qualitative study in Northern Nigeria

BackgroundGender inequities remain critical determinants influencing maternal health. Harmful gender norms and gender-based violence adversely affect maternal health. Gendered division of labour, lack of access to and control of resources, and limited women’s decision-making autonomy impede women’s access to maternal healthcare services. We undertook a cluster randomized controlled trial of universal home visits to pregnant women and their spouses in one local government area in Bauchi State, North-Eastern Nigeria. The trial demonstrated a significant improvement in maternal and child health outcomes and male knowledge, attitudes and behaviours. This paper qualitatively evaluates gender equity in the home visits programme.MethodsThe research team explored participants’ views about gender equity in the home visits programme. We conducted nine key informant interviews with policymakers and 14 gender and age-stratified focus group discussions with men and women from visited households, with women and men home visitors and supervisors, and with men and women community leaders. Analysis used an adapted conceptual framework exploring gender equity in mainstream health. A deductive thematic analysis of interviews and focus group reports looked for patterns and meanings.ResultsAll respondents considered the home visits programme to have a positive impact on gender equity, as they perceived gender equity. Visited women and men and home visitors reported increased male support for household chores, with men doing heavy work traditionally pre-assigned to women. Men increased their support for women’s maternal health by paying for healthcare and providing nutritious food. Households and community members confirmed that women no longer needed their spouses’ permission to use health services for their own healthcare. Households and home visitors reported an improvement in spousal communication. They perceived a significant reduction in domestic violence, which they attributed to the changing attitudes of both women and men due to the home visits. All stakeholder groups stressed the importance of engaging male spouses in the home visits programme.ConclusionThe home visits programme, as implemented, contributed to gender equity.

Human Resource Management in the Era of Disruption: A Systematic Literature Review On SDG

Context: The current era of disruption provides challenges and opportunities simultaneously. Understanding and responding quickly and appropriately to the phenomenon of disruption is important for a company. Changes on a large scale fundamentally change all systems that switch to new ways. This certainly has an impact on Human Resource Management (HRM). Objective: This study aims to (1) Identify HRM practices during the disruption era, namely 2021-2023, (2) Identify areas that are not of concern in HRM practices, and (3) Identify areas that need attention in future HRM practice research Method: The research was conducted using the Preferred Reporting Item for Systematic Reviews and Me-ta-Analytic (PRISMA) model process. The research found five areas for the first objective: (1) HRM practices in the era of disruption, (2) Human resource excellence, (3) HRM chal-lenges, (4) Corporate development, and (5) Human resource control. The second objective was to obtain (1) Determination and (2) Sustainability. The third objective can utilize all seven areas of future research findings. In addition, the implication is to utilize this journal to explore future research directions and gain a thorough understanding of the concept of HRM in the era of disruption. Results: This study found gaps in the implementation of HR analytics. Humans are used in analysis to examine the viability of human resource management in the disruptive age. An era of so many changes dominated by technology should make hr analytics a common area. Because in the era of disruption, for a company that has a compet-itive advantage, having big data is a must in order to run HRIS (Human Resource Infomation System) well. This study met almost all the requirements of SLR. However, there are some limita-tions. First, articles were found by searching through a single database. More articles may have been extracted if a different database had been chosen. Second, in order to retain the validity of the publications and adhere to a systematic literature review technique, this study solely contains empirical studies.If a different kind of article had been chosen, the results might have been different. Other areas of study need to be explored in future research. In the end, only diaries were considered.Accordingly, these journals are conducive to facilitating future research.Future studies should also focus on other areas. In the end, only diaries were considered.Accordingly, upcoming research can concentrate on them. Contribution: This research can be a more comprehensive reference for researchers who will try to explore similar topics and with similar research methodologies, namely Human Resource Management.

Co-optimization of sensor fusion and control strategies in electrical and electronic systems

In multi-sensor fusion, resource scheduling and control is responsible for rationally assigning multiple sensors in a networked system to the tasks faced by the system, and is the key to improving the quality of information fusion, increasing the overall system effectiveness, and obtaining the best observation results. Resource scheduling control is mainly to determine which sensors are selected to monitor and track the target according to certain optimization criteria, as well as the working mode, parameters, and measurement process of the sensors, and also to determine how the sensors can cooperate with each other and how the sensors can be adapted to the environment, and so on. This paper is to study the resource scheduling and control algorithm based on covariance control, so as to optimize the sensor resource scheduling and control.

Applicability of Ujamaa Policy in Social Work Education in Tanzania Regarding Ubuntu Philosophy – A Literature Review

A literature review on the applicability of Ujamaa Policy in Social Work Education in Tanzania Regarding Ubuntu Philosophy. The late first president of Tanzania and Ubuntu champion (2014) Dr. Julius Kambarage Nyerere made deliberate efforts to decolonize education policy and systems in post-colonial Tanzania including education for self-reliance policy in 1967 under Ujamaa policy. Ujamaa is among the core values of Ubuntu philosophy that influenced social work education in Tanzania through the Ujamaa Intersections Model from pre-colonial to the present. In Ubuntu philosophy education is collectively developed and owned by the community and Tanzania’s social work education is integrated through the Ujamaa Intersections Model. Arusha Declaration of 1967 through the Ujamaa Policy strategically restored and integrated Social Work education through the Ujamaa Intersections Model that linked education and community. Compatibility of the Ujamaa Intersections Model and social work education facilitated self-reliance, voluntarism, community participation, cooperation, and empowerment by allowing community sections to take collective and holistic control of available resources for universal welfare. As per Ubuntu philosophy, the realization of Universal welfare in the country covered all community members regardless of their social status but emphasized vulnerable populations including orphans, disabled, elders, sick persons, pregnant women, etc. Over time, the applicability of social work education was in line with the Ujamaa Policy, and despite the colonial legacy in early social work programs, the content reflected the Ujamaa intersections Model. Ujamaa Policy addressed tribalism, and promoted national unity, solidarity, and cooperation spirit relevant to community development in the country, with more than 120 ethnic tribes requiring a comprehensive and collective cultural diversity social work relevant model of education to address existing social problems and collective sustainable future of Tanzania’s National Vision of 2050 and Sustainable Development Goals by 2030.

SecuriDN: A Modeling Tool Supporting the Early Detection of Cyberattacks to Smart Energy Systems

SecuriDN v. 0.1 is a tool for the representation of the assets composing the IT and the OT subsystems of Distributed Energy Resources (DERs) control networks and the possible cyberattacks that can threaten them. It is part of a platform that allows the evaluation of the security risks of DER control systems. SecuriDN is a multi-formalism tool, meaning that it manages several types of models: architecture graph, attack graphs and Dynamic Bayesian Networks (DBNs). In particular, each asset in the architecture is characterized by an attack graph showing the combinations of attack techniques that may affect the asset. By merging the attack graphs according to the asset associations in the architecture, a DBN is generated. Then, the evidence-based and time-driven probabilistic analysis of the DBN permits the quantification of the system security level. Indeed, the DBN probabilistic graphical model can be analyzed through inference algorithms, suitable for forward and backward assessment of the system’s belief state. In this paper, the features and the main goals of SecuriDN are described and illustrated through a simplified but realistic case study.

ИСПОЛЬЗОВАНИЕ ПОПРОЦЕССНОГО БЮДЖЕТИРОВАНИЯ В ЦЕЛЯХ КОНТРОЛЯ ЗАТРАТ И ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ БИЗНЕС-ПРОЦЕССОВ КОМПАНИИ

The article discusses the issues of organizing sound budget planning of company expenses. Particular attention is paid to the problem of forming budgets for indirect costs. As a tool for determining their value, the ABB method (Activity based budgeting) is proposed, based on a functional cost analysis of costs and an assessment of the planned amount of resource consumption, depending on the level of each type of activity necessary to implement the production program and achieve a given level of income. Recommendations are given for the implementation of process-based budgeting techniques. The advantages of using the ABB method for the purposes of effective control of resources and financial results of activities are highlighted.

Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance

At ByteDance, where we execute over a million Spark jobs and handle 500PB of shuffled data daily, ensuring resource efficiency is paramount for cost savings. However, achieving optimization of resource efficiency in large-scale production environments poses significant challenges. Drawing from our practical experiences, we have identified three key issues critical to addressing resource efficiency in real-world production settings: 1 slow I/Os leading to excessive CPU and memory idleness, 2 coarse-grained resource control causing wastage, and 3 sub-optimal job configurations resulting in low utilization. To tackle these issues, we propose a resource efficiency governance framework for Spark workloads. Specifically, 1 we devise the multi-mechanism shuffle services, including Enhanced External Shuffle Service (ESS) and Cloud Shuffle Service (CSS), where CSS employs a push-based approach to enhance I/O efficiency through sequential reading. 2 We modify the Spark configuration parameter protocol, allowing for fine-grained resource control by introducing several new parameters such as milliCores and memoryBurst, as well as supporting operators with additional spill modes. 3 We design a two-stage configuration autotuning method, comprising rule-based and algorithm-based tuning, providing more reliable Spark configuration optimizations. By deploying these techniques on millions of Spark jobs in production over the last two years, we have achieved over 22% CPU utilization increase, 5% memory utilization increase, and 10% shuffle block time ratio decrease, effectively saving millions of CPU cores and petabytes of memory daily.

Self-Triggered Impulsive Control for Lyapunov Stability of Nonlinear Systems in Discrete Time.

This article studies Lyapunov stability for nonlinear systems based on discrete-time self-triggered impulsive control (STIC). With the help of comparison approach, some Lyapunov-based sufficient conditions guaranteeing nonZeno behavior and global asymptotic stability of nonlinear systems under STIC are derived. Different from the existing self-triggered mechanisms using implicit expressions to compute the next impulse instant, which may result in computational burden, we propose a novel discrete-time self-triggered mechanism (STM) by which the next impulse instant can be predicted directly by the information of the comparison system. Moreover, the resulting algorithm is easy to be implemented. It is shown that the designed STIC strategy can not only achieve a tradeoff between computational complexity, communication resource usage and control performance, but also has strong robustness and flexibility. Finally, an illustrative simulation is provided showing the effectiveness of the results.

Manajemen Keuangan Pada UMKM Budidaya Jangrik Dan Dimsum Di Pondok Benda Pamulang Tangerang Selatan

Financial management includes aspects of budget planning, cash flow management, debt and credit management, investment, accurate financial analysis, control and monitoring of a business's financial resources. With good financial management, MSMEs can avoid liquidation problems, minimize financial risks and make the right business decisions. However, not all MSMEs are able to carry out good financial management and comply with applicable standards. The MSMEs that Mr. Jhandriansyah runs with two types of business, namely cricket cultivation and dimsum production, of course have a financial management system to be able to exist in both types of business. The aim of this research is to find out what the financial management system is that is applied to Mr. Jhandriansyah's cricket and dimsum cultivation MSMEs in Pondok. Benda Pamulang South Tangerang has met good financial management standards. Qualitative descriptive research method using data analysis techniques through 4 financial management indicators consisting of financial planning, recording, reporting and financial control. The data used is primary data where all data is obtained directly from the owner as the main informant. Data collection techniques using interviews, observation and literature study. The results of the research show that the understanding and application of Jhandriansyah's Cricket and Dimsum Cultivation MSMEs towards financial planning, reporting and control does not fully meet the principles of good financial management. This is because the owner of the Cricket and Dimsum Cultivation UMKM believes that the business currently being managed is still relatively small and can still be managed with simple financial management procedures where the 4 indicators can still be carried out by the owner himself according to understanding, experience and conditions in the field

Exploring Characteristics and Patterns of In Situ Space Morphology: Perspective of the Historical and Cultural Canal Settlement

During the development and evolution of settlements, space morphology created unique local cultural features and played an important role in guiding rural planning in the context of new-type urban development. The in situ characteristics of the space morphology of the ancient historical and cultural towns along the Grand Canal of China reflect the prints of the local culture and history over thousands of years and integrate modern life and the cultural memories of the citizens there. Using Yangliuqing Town, a famous historical and cultural town, as an example, this study quantitatively analyzes the in situ characteristics of the space morphology. It applies the UAV 3D model, POI data, actual site measurements, and other data to establish detailed models of the streets and lanes, quantifies the in situ characteristics of the space morphology of the streets and lanes in terms of space organizational characteristics and VGA manifestation, analyzes the influencing factors of the characteristics of in situ space morphology, and proposes guidelines for renewing ancient towns according to the in situ characteristics of space morphology. The research results indicate that ① multidimensional factors influencing the historical development of the research area have been clarified for the three aspects of its status as a canal transport hub, canal settlement industries, and traditional residential courtyards in ancient towns; ② the in situ space morphology of the streets in Yangliuqing Town is reflected in three aspects such as the core guiding and control of historical and cultural resources, the inherent influence of space element layout, and the attractiveness of street space; ③ it extracts the guidelines for the renewal of the ancient towns in terms of the space morphology strategy, the environmental element strategy, the interface attribute strategy, and the business attribute strategy. The research methods and conclusions boast great significance for clarifying the characteristics of the space morphology of the ancient towns along the Grand Canal and improving the practice of preservation there.

Diversity and inclusion: A hidden additional benefit of Open Data.

The recent imperative by the National Institutes of Health to share scientific data publicly underscores a significant shift in academic research. Effective as of January 2023, it emphasizes that transparency in data collection and dedicated efforts towards data sharing are prerequisites for translational research, from the lab to the bedside. Given the role of data access in mitigating potential bias in clinical models, we hypothesize that researchers who leverage open-access datasets rather than privately-owned ones are more diverse. In this brief report, we proposed to test this hypothesis in the transdisciplinary and expanding field of artificial intelligence (AI) for critical care. Specifically, we compared the diversity among authors of publications leveraging open datasets, such as the commonly used MIMIC and eICU databases, with that among authors of publications relying exclusively on private datasets, unavailable to other research investigators (e.g., electronic health records from ICU patients accessible only to Mayo Clinic analysts). To measure the extent of author diversity, we characterized gender balance as well as the presence of researchers from low- and middle-income countries (LMIC) and minority-serving institutions (MSI) located in the United States (US). Our comparative analysis revealed a greater contribution of authors from LMICs and MSIs among researchers leveraging open critical care datasets (treatment group) than among those relying exclusively on private data resources (control group). The participation of women was similar between the two groups, albeit slightly larger in the former. Notably, although over 70% of all articles included at least one author inferred to be a woman, less than 25% had a woman as a first or last author. Importantly, we found that the proportion of authors from LMICs was substantially higher in the treatment than in the control group (10.1% vs. 6.2%, p<0.001), including as first and last authors. Moreover, we found that the proportion of US-based authors affiliated with a MSI was 1.5 times higher among articles in the treatment than in the control group, suggesting that open data resources attract a larger pool of participants from minority groups (8.6% vs. 5.6%, p<0.001). Thus, our study highlights the valuable contribution of the Open Data strategy to underrepresented groups, while also quantifying persisting gender gaps in academic and clinical research at the intersection of computer science and healthcare. In doing so, we hope our work points to the importance of extending open data practices in deliberate and systematic ways.

The Structural and Functional Development of an Urban Network System from the Perspective of Flow Space: A Case Study of Nanjing

Abstract: Globalization and informatization have exerted far-reaching impacts on the spatial connection and development of urban systems. This study, concerning the network of an urban system based on the space of flows, supplements the insufficiency on the micro-level in macro-urban network research. Taking Nanjing as an example, this study explores the characteristics of the network of the urban system from the perspective of people flow, refining the granularity of the analysis to the township- and street-level spatial units using mobile phone data. The findings are as follows: (1) There is a multicenter layered network pattern, with the main urban area being the core of the network, while Dongshan Street and Moling Street, as secondary centers, form a joint development pattern with the main urban area. (2) The spatial differentiation is significant. The spatial heterogeneity of “centralization in the central region, delayering in the north, and hierarchization in the south” is obvious. The net people inflow nodes are mainly concentrated in the main urban area and its surroundings, while the net outflow nodes are mostly located on the edge of the city. Moreover, the nodes to the south of Yangtze River are advantageous in urban resource control. (3) The phenomenon of “double shadow circle” appears in the ring of the main city and the ring of the municipal area. Moreover, the northern district experiences a serious outflow of population. (4) The effect of policy intervention is beginning to show. Improved levels of development of street and township units such as Jiangbei New District show the positive influence of national strategy on regional development.

Digitisation of franchising supply chain impact on franchisor performance: a longitudinal case study of a coffee retail chain

PurposeFranchising contributes significantly to national economies but is overlooked in supply chain literature. This study aims to contribute to the franchising and supply chain literature by examining how the digitisation of the franchising supply chain improves firm performance.Design/methodology/approachA single longitudinal case study approach was selected to investigate how a leading coffee brand digitised its franchising supply chain. Resource constraints theory and agency theory provide the theoretical framework. Data collection included both qualitative and quantitative data. Over two years, chronological, supply chain and thematic analyses and interpretation uncovered important findings and developed four research propositions.FindingsFindings show that digitisation can impact performance in eight areas: Resource management, Resource constraints, Efficiency, Business-to-Business (B2B)/Business-To-Customer (B2C) links, Rapid expansion, Risk mitigation, Information asymmetries and Faster supply chain responses. Four digital technologies (advanced analytics, Internet of Things, Autonomous Mobile Robots and B2B e-shop) impacted three franchisor functions (Machine maintenance, Inventory management, Franchisee and end-customer relations). The study develops four research propositions on how digitisation impacts performance in terms of (1) resource monitoring and control, (2) learning and knowledge creation, (3) coordination and collaboration and (4) competition.Originality/valueFranchising supply chains have been overlooked in the literature; this study provides insights into using resource constraints theory and agency theory complementarily to explain supply chain digitisation and provides actionable practical implications for selecting, implementing and continuously improving Industry 4.0 technologies in franchising supply chains.

Ergodic control of resource sharing networks: lower bound on asymptotic costs

Ergodic control of resource sharing networks: lower bound on asymptotic costs

Resource Control in Active IRS-Aided 6G IoT Networks with Use Case in Smart Indoor Communication

The IoT ecosystem involves connected smart devices that support massive amount of data for processing and further analysis. The proliferating massive IoT network demands network connectivity, robust communication links and computational resources which puts huge load on the network. To overcome the communication overhead in the IoT landscape while offering optimal fault tolerance is the main challenge. This paper presents an intelligent solution for improving the communication efficiency of IoT network using active IRS technology. An active IRS aided communication framework is proposed which offers enhanced network connectivity by enabling controlled reflection amplitude. An algorithm is proposed which associates optimal active IRS to each AP-node link such that signal-to-interference-plus-noise ratio (SINR) is maximized. It is observed that the proposed association scheme in active IRS system offers an improvement of 19.04% in achievable rate over random association at AP transmit power [Formula: see text] of 20[Formula: see text]dBm and IRS amplification power [Formula: see text] of 4[Formula: see text]dBm. Furthermore, the system outage probability is carried out with change in [Formula: see text] and amplification gain [Formula: see text]. The mean channel power is also evaluated for different IRS densities and AP densities under different IRS reflecting elements [Formula: see text], [Formula: see text] and [Formula: see text]. In the end, the performance comparison with passive IRS system and system with no IRS assistance is carried out. A use case scenario of active IRS-aided system in smart indoor communication is also discussed.

Energy-Saving Construction Technologies for Buildings

The development of the construction industry is shifting towards low-carbon construction, so it is necessary to improve and optimize related construction concepts, methods, and processes. By improving resource and energy control efficiency in building projects, minimizing construction waste, and reducing environmental impact, a foundation for the sustainable development of the industry can be established. This paper mainly analyzes the significance of low-carbon energy-saving construction technology and the control factors of construction, summarizes the status quo of the development of building energy-saving construction, and puts forward strategies for applying building energy-saving construction technology. These strategies serve to achieve low-carbon and energy-saving goals to promote the healthy development of energy-saving construction.

Personalized context-aware systems for sustainable agriculture development using ubiquitous devices and adaptive learning

Advanced technologies offer a promising answer, especially integrating personalized context-aware systems through ubiquitous devices and adaptive learning. This paper explores the ability of these technologies to transform agricultural practices, improving performance and sustainability. This study aims to analyze the effect of integrating context-aware structures in agriculture using ubiquitous gadgets and adaptive learning fashions. It specializes in assessing the upgrades in helpful resource control, crop yield, and environmental sustainability and explores the farming community's economic, social, and academic advantages. Utilizing a combined-methods approach, the studies combine intensive literature with empirical statistics series, including discipline experiments, surveys, and interviews with key agricultural stakeholders. It examines contemporary farming practices, the capabilities of rising technology, and the conditions for enforcing robust context-aware systems in farming. Implementing context-aware systems improves agricultural practices by optimizing water and chemical usage, enhancing soil health, and increasing crop yields. Ubiquitous devices and adaptive learning models facilitate specific, real-time selection-making, leading to extra sustainable and green farming operations. Feedback from the rural community similarly underscores the positive effect of technology on improving accessibility to facts and collaborative learning. The study demonstrated that integrating personalized, context-aware systems with IoT and adaptive learning significantly improves agricultural efficiency and sustainability, evidenced by enhanced resource management and increased crop yields. This study contributes to the discourse on leveraging advanced technology to reap agricultural sustainability and units the groundwork for destiny research and coverage development in era-better farming.

Botanical characterization, phytochemistry, biosynthesis, pharmacology clinical application, and breeding techniques of the Chinese herbal medicine Fritillaria unibracteata.

Fritillaria unibracteata (FRU) belongs to the genus Fritillaria of the Liliaceae family. It is one of the original plants of the Chinese medicinal material "Chuanbeimu" and also a biological resource featured in the Tibetan Plateau of China. The dried bulbs of FRU are used in traditional Chinese medicine. The chemical constituents of FRU that have been isolated and identified include alkaloids, sterols, organic acids and their esters, nucleosides and volatile oils. FRU has antitussive, expectorant, anti-asthmatic, anti-inflammatory, antibacterial, acute lung injury-reducing, antifibrosis, antitumor, and other pharmacological effects. This valuable plant has an extremely high market demand, and over the years, due to over-exploitation, FRU has now been listed as a key species that is endangered and scarcely cultivated in China as a traditional Chinese medicinal herb. However, research on FRU is rare, and its effective components, resource control, and mechanisms of action need further study. This review systematically discusses the herbal characteristics, resource distribution, chemical composition, biosynthesis, pharmacological effects, clinical application, and breeding techniques of FRU, hoping to provide a reference for further research and the use of FRU.