Lack Of Resources Research Articles

Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage Training Method.

Multimodal summarization (MS) for videos aims to generate summaries from multi-source information (e.g., video and text transcript), showing promising progress recently. However, existing works are limited to monolingual scenarios, neglecting non-native viewers' needs to understand videos in other languages. It stimulates us to introduce multimodal cross-lingual summarization for videos (MCLS), which aims to generate cross-lingual summaries from multimodal input of videos. Considering the challenge of high annotation cost and resource constraints in MCLS, we propose a knowledge distillation (KD) induced triple-stage training method to assist MCLS by transferring knowledge from abundant monolingual MS data to those data with insufficient volumes. In the triple-stage training method, a video-guided dual fusion network (VDF) is designed as the backbone network to integrate multimodal and cross-lingual information through diverse fusion strategies in the encoder and decoder; What's more, we propose two cross-lingual knowledge distillation strategies: adaptive pooling distillation and language-adaptive warping distillation (LAWD), designed for encoder-level and vocab-level distillation objects to facilitate effective knowledge transfer across cross-lingual sequences of varying lengths between MS and MCLS models. Specifically, to tackle lingual sequences of varying lengths between MS and MCLS models. Specifically, to tackle the challenge of unequal length of parallel cross-language sequences in KD, LAWD can directly conduct cross-language distillation while keeping the language feature shape unchanged to reduce potential information loss. We meticulously annotated the How2-MCLS dataset based on the How2 dataset to simulate MCLS scenarios. Experimental results show that the proposed method achieves competitive performance compared to strong baselines, and can bring substantial performance improvements to MCLS models by transferring knowledge from the MS model.

Application of hybrid strategies of complex network attack and defense games

Critical infrastructure networks serve as the backbone of modern society’s operations, and the application of game theory to safeguard these networks against deliberate attacks under resource constraints is of paramount importance. Regrettably, the existing body of research on hybrid attack and defense strategies for nodes and edges is notably scarce, despite the ubiquity of such strategies in practical contexts. Current understanding regarding the establishment of a cost constraint model within the framework of hybrid attack and defense strategies, the strategic inclinations of both adversarial and defensive parties under varying cost constraint coefficients, and the influence of resource allocation ratios on equilibrium outcomes remains limited. Consequently, this study constructs a game-theoretic model for the engagement of critical infrastructure networks under non-uniform cost constraints, incorporating hybrid attack and defense strategies for nodes and edges, and conducts an equilibrium analysis across a range of cost constraint coefficients and resource allocation ratios. The findings reveal that when resource availability is limited, both attackers and defenders are inclined towards a strategy of concentrated resource allocation; in contrast, under most circumstances, defenders exhibit a preference for an equitable distribution of resources.

A Review of State-of-the-art Mixed-Precision Neural Network Frameworks.

Mixed-precision Deep Neural Networks (DNNs) provide an efficient solution for hardware deployment, especially under resource constraints, while maintaining model accuracy. Identifying the ideal bit precision for each layer, however, remains a challenge given the vast array of models, datasets, and quantization schemes, leading to an expansive search space. Recent literature has addressed this challenge, resulting in several promising frameworks. This paper offers a comprehensive overview of the standard quantization classifications prevalent in existing studies. A detailed survey of current mixed-precision frameworks is provided, with an in-depth comparative analysis highlighting their respective merits and limitations. The paper concludes with insights into potential avenues for future research in this domain.

A soft scanning electron microscopy for efficient segmentation of alloy microstructures based on a new self-supervised pre-training deep learning network

To provide an on-site metallographic segmentation using only optical microscopy images, sSEM-Net, a soft scanning electron microscopy network, is developed based on a self-supervised pre-training deep learning framework. During model training, only a sparse collection of SEM images is necessary for annotation assistance. By integrating CNN and Transformer, sSEM-Net efficiently utilizes global context information while mitigating data dependency and computational resource constraints. Using only readily available optical microscopy images as input, sSEM-Net achieves metallographic segmentation comparable to SEM images, catering to rapid and cost-effective industrial needs. This methodology leverages non-destructive inspection attributes, catering to rapid and cost-sensitive industrial requirements. The efficacy of the proposed sSEM-Net is demonstrated through metallographic structure analysis of TC4 titanium alloy, with potential extensions to other alloy types.

Workload, Legal Doctrine, and Judicial Review in An Authoritarian Regime: A Study of Expropriation Judgments in China

This paper contributes one of the first systematic studies on how courts adjudicate expropriation disputes both in the absence of judicial independence and in the face of resource constraints, extends the study of judicial workload into an authoritarian context, and demonstrates the complicated and dynamic interactions between apolitical and political aspects of courts in authoritarian regimes. Our results demonstrate that legal doctrine can check the abuse of government power even in situations where it is least expected. Specifically, we examined how Chinese courts, faced with an explosive increase in workload caused by a legal reform in 2015, adjudicated expropriation disputes between the government and property rights holders. Employing a difference-in-differences method, we found an increased judicial workload to improve property rights holders’ chances of winning their case against the government. We discovered that judges’ use of hard-edged legal doctrine—administrative procedures, in particular—to save time constrained judicial discretion, which is prone to arbitrary political influence in authoritarian regimes.

The role of regulatory agencies in public health emergencies: A critical review of global approaches and challenges

Regulatory agencies play a pivotal role in public health emergencies by ensuring that medical products, including vaccines, diagnostics, and therapeutics, are rapidly available while maintaining safety and efficacy standards. The COVID-19 pandemic, along with past crises such as the Ebola and Zika outbreaks, exposed both strengths and vulnerabilities in global regulatory frameworks. This paper critically reviews the role of regulatory agencies in public health emergencies, synthesizing existing literature to present new insights into their operational challenges and the reliance strategies employed to bridge capacity gaps. By examining case studies, such as the reliance on the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) by low- and middle-income countries (LMICs), this paper highlights the importance of global cooperation and reliance mechanisms in managing crises. Furthermore, it addresses challenges such as resource constraints, disparities in regulatory capacity, and ethical dilemmas faced when approving products based on limited data. The paper also explores the future direction of regulatory science, emphasizing the need for greater global regulatory convergence, capacity building, and the adoption of innovative digital tools. Ultimately, the paper argues that while reliance strategies are vital, long-term investment in national regulatory systems and global harmonization efforts are essential for a more equitable and effective response to future public health emergencies.

Effects of entrepreneurial bricolage on innovation performance and firm performance: perspectives from Ghanaian small and medium-sized enterprises (SMEs)

PurposeThe study constructs a novel theoretical model based on resource orchestration theory and examines it using data from Ghanaian small and medium-sized enterprises (SMEs).Design/methodology/approachEntrepreneurial bricolage (EB) represents a creative mechanism by which SMEs navigate resource challenges to become competitive. The purpose of this paper is to examine the link between EB to both innovation performance and firm performance among manufacturing SMEs in Ghana. In addition, we also examine the mediating role of polychronicity in the relationship between EB, innovation performance and firm performance.FindingsThe results suggest that EB positively and significantly influences both innovation performance and firm performance. Furthermore, polychronicity partially mediates the relationship between EB and innovation performance and between EB and firm performance.Originality/valueThis study enhances our understanding of the conditions under which EB may facilitate the attainment of innovation and firm performance among manufacturing SMEs. These findings also proffer practical and managerial implications for managing SMEs under resource constraints.

Optimizing Effectiveness and Defense of Drone Surveillance Missions via Honey Drones

This work aims to develop a surveillance mission system using unmanned aerial vehicles (UAVs) or drones when Denial-of-Service (DoS) attacks are present to disrupt normal operations for mission systems. In particular, we introduce the concept of cyber deception using honey drones (HDs) to protect the mission system from DoS attacks. HDs exhibit fake vulnerabilities and employ stronger signal strengths to lure DoS attacks, unlike the legitimate drones called mission drones (MDs) deployed for mission execution. This research formulates an optimization problem to identify an optimal set of signal strengths of HDs and MDs to best prevent the system from DoS attacks while maximizing mission performance under the resource constraints of UAVs. To solve this optimization problem, we leverage deep reinforcement learning (DRL) to achieve these multiple objectives of the mission system concerning system security and performance. Particularly, for efficient and effective parallel processing in DRL, we utilize a DRL algorithm called the Asynchronous Advantage Actor-Critic (A3C) algorithm to model attack-defense interactions. We employ a physical engine-based simulation testbed to consider realistic scenarios and demonstrate valid findings from the realistic testbed. The extensive experiments proved that our HD-based approach could achieve up to a 32% increase in mission completion, a 20% reduction in energy consumption, and a 62% decrease in attack success rates compared to existing defense strategies.

Bridging the Knowledge Divide: Journalism Education and Industry Needs in East and Southern Africa

This study explores the perceived gap between journalism education and professional practice in Tanzania and Zambia. Through interviews with educators and journalists and an analysis of 12 journalism curricula, the findings reveal that both educators and journalists acknowledged a gap, with a shared desire for improved alignment between academic programs and industry needs. Educators expressed a commitment to incorporating contemporary content, but face challenges like limited industry collaboration and resource constraints. Journalists, however, observed a hesitancy among educators in implementing recommendations from the industry. Both groups see the need for integrating theory and practice into the curricula.

Feasibility and Impact of Community Pharmacy and Novel Pick-up Points for Antiretroviral Therapy Pre-exposure Prophylaxis Initiation and Continuation in Low and Middle-income Countries.

This review assesses recent developments in community access to pre-exposure prophylaxis (PrEP) for HIV prevention in low-and middle-income countries (LMICs). It examines literature on differentiated service delivery (DSD) and alternative delivery modes for PrEP, focusing on the role of community pharmacies and novel pick-up points. Key considerations include barriers to access, potential benefits, and strategies for implementation. Challenges to optimal HIV healthcare delivery persist globally, with LMICs facing greater barriers due to resource constraints and structural obstacles. Community pharmacies and novel pick-up points offer promising avenues to expand access to HIV medication, especially in hard-to-reach populations. However, operational complexities and regulatory frameworks present significant challenges. Recent initiatives, such as collaborative practice agreements and programmes by global health agencies, highlight efforts to integrate community pharmacies into HIV prevention and care delivery. Mobile health clinics and home delivery services have also shown promise in improving treatment coverage. Community pharmacies and novel pick-up points play a crucial role in enhancing access to HIV PrEP in LMICs. Despite challenges related to infrastructure, funding, and regulatory oversight, innovative strategies like DSD and mobile outreach offer opportunities to reach marginalized populations. Real-life examples from LMICs demonstrate the feasibility and effectiveness of leveraging community pharmacies for HIV treatment. However, addressing policy gaps, strengthening pharmacist training, and promoting patient-centred approaches are essential for scaling up access to PrEP. Collaboration between governments, health agencies, and local communities is key to realizing the full potential of community pharmacies in HIV prevention and care.

The Development of the Service System of Premium Heart Health Clinic at Queen Sirikit Heart Center of the Northeast, Thailand

Background: Developing a quality service system is a challenge in the health system amidst resource constraints and increasing service recipient expectations. This action research developed the service system of Premium Heart Health Clinic at Queen Sirikit Heart Center of the Northeast, Thailand, and evaluated the outcomes of the service delivery duration and the satisfaction with services. Method: The action research framework was employed. The study process comprised the following four steps: 1) analyzing the situation, 2) designing and developing the service system, 3) trying out the service system and 4) evaluating the service system. The research tools were the service duration record form and the service recipient satisfaction assessment form. Data were analyzed by descriptive statistics, including frequency, percentage, mean, and standard deviation, and independent t-test and content analysis. The findings revealed that the developed service system of Premium Heart Health Clinic at Queen Sirikit Heart Center of the Northeast, Thailand was the TPCG model, comprising 4 elements: Teamwork (T), Preparation of service provider competencies (P), Creating a marketing plan (C) and Growth mindset (G). It was also found that the mean service duration at Premium Heart Health Clinic after the development of the service system was significantly lower than that of before the development (p< 0.01) (before: 138.09; after: 222.42). The mean satisfaction was also significantly higher than before the development (p< 0.01) (before: 3.74; after: 3.52).

Teachers’ Understanding and Implementation of Authentic Assessment in the Integrated Curriculum for Grades 1 to 3: The Case of Nepal

This study explores the implementation and understanding of authentic assessment within Nepal’s integrated curriculum for grades 1-3, which emphasizes the development of soft skills alongside academic learning—utilizing a convergent mixed-methods design, including quantitative surveys of 280 teachers and qualitative interviews with eight teachers, conducted in December 2023. The findings identify significant gaps between the theoretical principles of authentic assessment and its practical application. While approximately two-thirds of teachers report familiarity with authentic assessment, many continue to rely on traditional methods such as rote memorization and paper-pencil tests. Key challenges include resource constraints, inadequate professional development, and time limitations. The findings underscore the need for enhanced teacher training, clear policy guidelines, and improved resources to better align assessment practices with the goals of the integrated curriculum, thereby fostering a more holistic educational experience that effectively nurtures academic competencies and soft skills in early-grade learners. Keywords: authentic assessment, integrated curriculum, soft skills, early grade education, Nepal

Citrus Industry Agglomeration and Citrus Green Total Factor Productivity in China: An Empirical Analysis Utilizing a Dynamic Spatial Durbin Model

In the context of increasingly severe resource and environmental constraints, examining the impact of citrus industry agglomeration on the green total factor productivity (GTFP) of citrus is of great importance for the sustainable development of the citrus industry and is crucial for promoting the green, high-quality growth of China’s agricultural sector. In this study, the global Malmquist–Luenberger productivity index (GMLPI) model was used to measure the GTFP of mandarins and tangerines based on inter-provincial panel data from China’s major citrus-producing regions between 2007 and 2022. The dynamic spatial Durbin model was employed to empirically analyze the effects of citrus industry agglomeration on the GTFP of mandarins and tangerines, including the disaggregation of its spatial spillover effects. The results indicate that, in terms of temporal dynamics, the GTFP, technical progress index (GTC), and technical efficiency index (GEC) of mandarins and tangerines significantly fluctuated, especially during the period from 2007 to 2015. Regional disparities in GTFP and the GTC are more pronounced for mandarins than for tangerines, while the GEC shows greater regional disparities for tangerines than for mandarins. The intensification of citrus industry agglomeration has had a significant positive impact on the GTFP of mandarins and tangerines, both locally and in neighboring regions. The spatial correlation of the green total factor productivity of mandarins and tangerines fluctuated; mandarins showed significant spatial aggregation in some years, while tangerines showed significant spatial dispersion in several years. The local Moran scatterplot further reveals the significant negative spatial autocorrelation of mandarin and tangerine green total factor productivity from 2007 to 2022. The direct, indirect, and total effects of citrus industry agglomeration on the GTFP of mandarins and tangerines are significant and positive in both the short- and long-term, with short-term benefits exceeding long-term effects. Consequently, enhancing regional cooperation and exchange while advancing citrus industry agglomeration is essential for sustained productivity growth.

Reversible Demountable Coating Films Composed of Trifunctional Liquid Anthracene Compounds and Evaluation of Their Adhesive Properties

AbstractTechnologies that facilitate recycling are attracting considerable interest from the perspective of resource constraints. In the present study, degradable primer films are to facilitate the removal of strongly bonded joints. This film consists of a light‐cured trifunctional anthracene compound that thermally decomposes to its original liquid state. To demonstrate its function as a degradable primer film and verify its range of applications, various substrates, such as aluminum alloys, stainless steel, carbon fiber‐reinforced plastics, carbon fiber‐reinforced thermoplastics, and polyetheretherketone, are bonded through the primer film using a two‐component epoxy adhesive. All the single‐lap specimens exhibit strengths above 10 MPa, which is sufficient, or base material fracture. When adhesive bonding specimens prepared using the same procedure are heated at 180 °C to transform the coating film to a liquid state, the bond strength is significantly reduced. The primer film is expected to exhibit long‐term stability of more than one year at ≈60 °C.

INTEGRATING SERVICE LEARNING IN HIGHER EDUCATION FOR ENHANCED ENVIRONMENTAL CONSCIOUSNESS IN YAN, KEDAH

The Service-Learning Malaysia (SULAM) initiative is a credit-bearing program that focuses on experiential learning to enable students to work with faculty to solve community problems using the knowledge and skills they gained from their academic disciplines. SULAM projects carried out for the Environmental Administration Group A course in the Development Management Program at Universiti Utara Malaysia (UUM) during Semester A222 were conducted in collaboration with the community in the district of Kampung Singkir Darat, Yan, Kedah. The objective of these projects was to address environmental issues faced by the community. The methodology used in this project was designed based on the data obtained from SULAM activities, which explores various aspects including methods of implementation, evaluation and documentation. The findings of the projects helped to improve the knowledge and skills of the students, enabling them to become exceptional graduates and responsible citizens. However, there were challenges faced during the SULAM projects, including communication barriers and resource constraints. To overcome these challenges, the students and faculty had to come up with creative solutions, such as using technology to communicate with the community and leveraging local resources to complete the projects. Overall, the SULAM initiative serves as a great example of how experiential learning can be used to solve real-world problems and create a positive impact on society.

Evaluation of Capital Utilization Efficiency in Agricultural Listed Firms Based on a Three-Stage Data Envelopment Analysis

Rural revitalization is intricately tied to national prosperity, with listed companies in agriculture, forestry, animal husbandry, and fisheries playing pivotal roles in driving this transformative agenda. However, these sectors face critical challenges, notably resource constraints and environmental pressures, which underscore the necessity of evaluating capital utilization efficiency. This study employs a combined three-stage DEA model and Malmquist index to analyze capital utilization efficiency across 85 listed companies within China’s agriculture, forestry, animal husbandry, and fishery industries over the period 2018–2022. The primary objectives are to quantify capital utilization efficiency, identify pathways for industry optimization, advance ecological agricultural sustainability, and offer valuable insights to investors and policymakers. Key findings include: (1) When grouped by sub-sector and adjusted to account for external environmental factors and random disturbances, the initial comprehensive capital utilization efficiency in agricultural companies was found to be significantly overestimated. Subsequent third-stage adjustments revealed decreases in average comprehensive efficiency, technical efficiency, and scale efficiency by 29.79%, 3.03%, and 27.37%, respectively, largely driven by a marked decline in scale efficiency, ultimately diminishing overall efficiency. (2) The capital utilization efficiency in agricultural trading firms remains suboptimal, with scale efficiency posing a critical limitation. High dependency on government subsidies and excess specialized personnel further constrain efficiency improvements. (3) Dynamic analysis using the DEA-Malmquist model indicates low total factor productivity in the agricultural sub-sector, primarily due to inefficiencies in capital management and suboptimal scale allocation. These findings underscore the need for targeted strategies to enhance resource allocation and management, bolster talent development and financial management frameworks, and drive technological research and development, innovation, and efficient capital allocation across the agriculture, forestry, animal husbandry, and fishery sectors.

Unlocking the buffering role of total quality management: how organisational intangible resources shape innovation performance in dynamic and uncertain environments

Purpose The purpose of this paper is to demonstrate how total quality management (TQM) buffers the adverse effect of market dynamism (MKD) on banking industry innovation performance (INP) using resource-based theory. Design/methodology/approach This paper creates and explores a conceptual framework by evaluating the perspectives of 260 chief executive officers from the different branches of 21 ISO 27001 and PCI-DSS-accredited banks over two time periods. The product indicator approach was used in the moderation analysis, with a path being significant at 5% (t > 1.96). The study used support for innovation, innovative leadership, strategic agility and slack resources as control variables for INP. The analysis was done using SmartPLS version 4.1.0.6. Findings As hypothesised, MKD had a significant and negative influence on the INP (ß = −0.326, t = 5.341). TQM neutralised MKD’s negative impacts on INP in a positive and significant manner (ß = 0.127, t = 2.680). Research limitations/implications This study paves the way for upcoming research to explore how TQM may improve INP in the presence of other adverse environmental dynamics like technological dynamism, competitive intensity and government regulation in the banking industry. External trends may have a different impact on other industries, necessitating additional research in these areas. Practical implications Bank managers can manipulate the TQM strategy to shape INP, thereby revealing TQM’s strategic value. Top management teams may consider prioritising and allocating more resources to TQM initiatives. Banks that successfully use the TQM methodology are able to turn a dynamic and uncertain environment into opportunities for growth and differentiation. Originality/value To the best of the author’s knowledge, this is the first study to display how TQM buffers the detrimental impact of MKD on INP. It offers a first attempt at challenging previous studies that had somewhat assumed that MKD encourages banks to be innovative, proving them otherwise, changing the narrative of the literature and stimulating further debate.

Embracing digital transformation for sustainable development: Barriers to adopting digital twin in asset management within Singapore's energy and chemicals industry

AbstractIn the era of Industry 4.0, digital twin has the potential to revolutionize asset management and contribute to the sustainable development of the energy and chemicals industry. This study aims to investigate barriers to adopting digital twin in asset management within Singapore's energy and chemicals industry through a literature review and interviews. It identified five categories of barriers: resource constraints, data management issues, technical challenges, lack of government and industry support, and strategic and cultural barriers. The five categories of barriers presented unique implications, mutually reinforcing their negative impact on digital twin adoption. The analysis of interviews revealed that the most prevalent barriers, as mentioned by the interviewees, were lack of successful use cases (78.6%), high investment (71.4%), and lack of effective data analysis techniques (64.3%). Lack of successful use cases hinders return‐on‐investment justification, high investment requirements compete with other operational priorities, and data analysis challenges impede the realization of digital twin's full potential. The findings provide organizations with a comprehensive understanding of early stage barriers to formulate targeted strategies, driving the industry towards increased competitiveness and sustainable growth.

Metadata for Everyone: Identifying Metadata Quality Issues Across Cultures

Metadata is crucial to the dissemination and communication of research. Quality metadata facilitates discovery and access and provides contextual, technical, and administrative information in a standard form. Yet metadata are also sites of tension between sociocultural representations, resource constraints, and standardized systems. Formal and informal interventions may be interpreted as metadata quality issues, political acts to assert identity, or strategic curatorial choices to maximize discoverability and visibility. This presentation documents the work of Public Knowledge Project (PKP) and Crossref on the Metadata for Everyone project to understand how metadata quality, consistency, and completeness impact individuals and communities. Working from a sample of records known to have erroneous, incomplete, or otherwise imperfect metadata, we set out to identify and classify issues stemming from how metadata and communities press up against each other to intentionally reflect (or not) cultural meanings.

Challenges in Implementing Quality Education at INTI International University: An Examination of Human Resource Management Practices

This study investigates the challenges that INTI International University has had in integrating Sustainable Development Goal (SDG) 4 by ensuring inclusive, high-quality education and opportunities for lifelong learning into its HRM practices. Key problems identified by the study include the need to accommodate varied faculty requirements in an inclusive environment, integrate new technologies with current teaching approaches, and attract and retain talented instructors. The implementation of HRM strategies is hampered by resource constraints, changing educational requirements, and the need for ongoing strategy modification, according to the insights of an HR specialist. The results emphasize the necessity of continual modifications to HRM practices to address these issues and forward the objective of universal access to high-quality education.