Efficient Access Research Articles

Household characteristics and common property forest use: complementarities and contradictions

Being limited in supply but accessible for community usage, sustainable management of Common pool resources is still an important question facing both development planners and the academia. Experience from community forestry program in Nepal, and elsewhere, has so far indicated that poorer households are still marginalized even if resources are managed under community ownership. In this paper, I seek to analyze the socio-economic attributes of households that determine labor allocation decisions for forest product collection activities. This will help better understand why poorer groups have not been benefited from the management of community forests. I will then highlight the need for more effective policy and institutional interventions that would help ensure efficient and equitable access to the local level natural resource base.

Emergency surgery preoperative delays: realities, economic impacts and gains of a second emergency operating theatre.

Time-to-theatre (TTT) is a key performance indicator of theatre efficiency and delayed TTT incurs significant costs and poor clinical outcomes. An increasing Irish population in conjunction with an ageing population puts increasing pressure on emergency surgical services across Ireland. We examined our institution's experience with introducing a second emergency theatre and semi-elective theatre lists for acute surgical patients. A retrospective review of electronic, prospectively maintained databases was performed between 1 February 2018 and 31 January 2020. A cost analysis was conducted to assess the economic impact of delayed TTT. The cost-saving benefit of introducing a second emergency theatre and semi-elective Kaizen lists was then calculated and compared with 2012-2014 figures from our institution. In total, 6,679 procedures were performed. Overall mean TTT was 16h, 10h shorter than before the introduction of a second emergency theatre and Kaizen theatre lists (p < 0.001). Patients aged >65 years, who are historically a significantly disadvantaged group, had a shorter TTT following the introduction of a second emergency theatre. The economic advantage of a second emergency theatre resulted in a cost saving of €3,674,538 over 24 months. Investment in emergency surgical services resulted in more efficient access to emergency theatres. There was a reduction in out-of-hours operating across all specialties and across the more at-risk groups such as those over the age of 65, who had an overall reduction in TTT. This had significant financial benefits and likely reduced the clinical risk associated with delayed TTT and out-of-hours operating.

A dynamic data access control scheme for hierarchical structures in big data

Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is a promising solution to address the issues of data leakage and sharing in big data. When multiple files are shared, they often have hierarchical access relationships. However, existing hierarchical data CP-ABE schemes can only support simple hierarchical access structures. The limitation arises, necessitating the generation of multiple access structures to meet hierarchical access requirements, resulting in the wastage of computational and storage resources. Therefore, in this paper, we carefully design a dynamic hierarchy access control that allows its level nodes to flexibly participate in the decryption of other nodes, enabling the realization of complex hierarchical data relationships. Building upon this, we construct the Attribute-based Dynamic Hierarchical data Access Control (ADHAC) scheme, achieving efficient and dynamic access control for multiple datasets. Subsequently, we apply our scheme in distributed computing, which enables efficient access control for individuals and institutions over multiple data sets and fine-grained computation. Security analysis indicates that our scheme can resist chosen plaintext attack (CPA). Both theoretical and experimental analyses demonstrate that our scheme has impressive advantages in terms of computational efficiency and storage costs compared to existing schemes.

Secure Data Deduplication With Dynamic Access Control for Mobile Cloud Storage

Data deduplication is of vital importance for mobile cloud computing to cope with the explosive growth of outsourced mobile data. In order to ensure the privacy of sensitive mobile data against an untrusted cloud, Message-Locked Encryption (MLE) has been proposed to enable deduplication over ciphertext. However, MLE prohibits data access control since it uses deterministic content-derived encryption keys. Recently, a lightweight rekeying-aware encrypted deduplication system (REED) has been proposed to achieve dynamic access control for secure data deduplication. However, REED is vulnerable to key-retaining attack and stub-retaining attack, which leads to insecure access revocation, and thus cannot support secure dynamic access control. In response, we present AC-Dedup, an encrypted deduplication storage system that supports <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">secure dynamic access control</i> for mobile cloud storage. At the core of AC-Dedup are two novel encryption techniques named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mixed message locked encryption</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">random stub re-encryption</i> to resist the two types of attacks, respectively. To the best of our knowledge, AC-Dedup is the first practical system that achieves secure data deduplication and secure dynamic access control simultaneously. We conduct security analysis and experimental evaluation on mobile device and cloud platform with real-world IoT datasets. The results show that AC-Dedup enables secure and efficient dynamic access control while preserving deduplication effectiveness.

Text Summarization and Document summarization using NLP

Background: Automatic text summarization has become increasingly crucial in navigating the ever- growing ocean of textual information. This research delves into exploring the potential of Natural Language Processing (NLP) techniques for creating efficient and informative summaries. We implemented and evaluated models based on Long Short-Term Memory (LSTM) networks, Sequence-to-Sequence (Seq2Seq) architectures, and transformer-based approaches. By leveraging these powerful algorithms, we aimed to generate concise summaries that capture the essence of the original text. The evaluation highlighted the strengths and limitations of each approach, showcasing the potential of NLP for text summarization while acknowledging the remaining challenges. This research not only contributes to the ongoing discussion on textsummarization techniques but also opens doorsfor further exploration, including integrating domain-specific knowledge, personalizing summaries based on user preferences, and applying these techniques to real-world information overload situations. Ultimately, this work underscores the promise of NLP-driven text summarization in facilitating efficient information access, comprehension, and utilization across various domains. Keywords: Natural Language Processing(NLP), Automatic Text Summarization, Real-world applications.

An Approach Towards Standardization of Ehr with Efficient Accessibility of Data on Demand: A Review

Standardization of medical terminologies and the centralized electronic medical record (EMR) are the most addressed discussion in the healthcare industries. Patient master records and the treatment statistics records has wide spectrum and dynamic data structure. These records have high growth rate with huge volume over the period and which requires proper structured data base management system. Data science and the analytics could solve the problem of data management, but trust about data storage over the cloud may become major issue. These records may be archived for better storage management and could be replicated over multiple cloud or kept in a distributed manner for extended security. On other hand medical data generated through wearable medical devices or the portable devices used by home care patients may be connected to multiple cloud servers for better accessibility and security. Proposed system is to develop a generic medical record management system over multiple cloud and designing the Body Area Network (BAN) architecture connected to distributed cloud for data accessibility and security.

Efficient and Secure Blockchain-Based Access Control for Fog-Assisted IoT Cloud in Electronic Medical Records Sharing

Fog-assisted IoT Cloud environments have emerged as a result of the rapid spread of Internet of Things (IoT) devices and the requirement for seamless data sharing in the healthcare industry. The effective and safe management of access control to sensitive data, such as Electronic Medical Records (EMRs), becomes crucial in such configurations. The Efficient and Secure Blockchain-Based Access Control (ESBAC) framework, designed specifically for Fog-assisted IoT Cloud scenarios in EMR sharing, is our creative approach to this problem. The ESBAC architecture makes use of the blockchain's openness and immutability to provide reliable access control and auditability. The implementation of a consortium blockchain includes participants including healthcare providers, patients, and authorised entities. Each EMR has a smart contract attached to it that specifies access restrictions and permissions to make sure that only authorised parties are able to access and edit the data. Because of the decentralisation provided by the blockchain, security and privacy are improved because no single party has overwhelming control. Proposed framework uses attribute-based access control and lightweight encryption methods to provide a fair trade-off between security and efficiency. As a result, there can be fine-grained access control policies with the least amount of computing overhead. Comprehensive simulations are used to evaluate the suggested solution and compare it to current methods. The outcomes show that ESBAC improves security in EMR sharing and greatly lowers access latency.

Ni-catalyzed enantioconvergent deoxygenative reductive cross-coupling of unactivated alkyl alcohols and aryl bromides

Transition metal-catalyzed enantioconvergent cross-coupling of an alkyl precursor presents a promising method for producing enantioenriched C(sp3) molecules. Because alkyl alcohol is a ubiquitous and abundant family of feedstock in nature, the direct reductive coupling of alkyl alcohol and aryl halide enables efficient access to valuable compounds. Although several strategies have been developed to overcome the high bond dissociation energy of the C − O bond, the asymmetric pattern remains unknown. In this report, we describe the realization of an enantioconvergent deoxygenative reductive cross-coupling of unactivated alkyl alcohol (β-hydroxy ketone) and aryl bromide in the presence of an NHC activating agent. The approach can accommodate substituents of various sizes and functional groups, and its synthetic potency is demonstrated through a gram scale reaction and derivatizations into other compound families. Finally, we apply our convergent method to the efficient asymmetric synthesis of four β-aryl ketones that are natural products or bioactive compounds.

FoPGDB: a pangenome database of Fusarium oxysporum, a cross-kingdom fungal pathogen.

Pangenomes, capturing the genetic diversity of a species or genus, are essential to understanding the ecology, pathobiology and evolutionary mechanisms of fungi that cause infection in crops and humans. However, fungal pangenome databases remain unavailable. Here, we report the first fungal pangenome database, specifically for Fusarium oxysporum species complex (FOSC), a group of cross-kingdom pathogens causing devastating vascular wilt to over 100 plant species and life-threatening fusariosis to immunocompromised humans. The F. oxysporum Pangenome Database (FoPGDB) is a comprehensive resource integrating 35 high-quality FOSC genomes, coupled with robust analytical tools. FoPGDB allows for both gene-based and graph-based exploration of the F. oxysporum pangenome. It also curates a large repository of putative effector sequences, crucial for understanding the mechanisms of FOSC pathogenicity. With an assortment of functionalities including gene search, genomic variant exploration and tools for functional enrichment, FoPGDB provides a platform for in-depth investigations of the genetic diversity and adaptability of F. oxysporum. The modular and user-friendly interface ensures efficient data access and interpretation. FoPGDB promises to be a valuable resource for F. oxysporum research, contributing to our understanding of this pathogen's pangenomic landscape and aiding in the development of novel disease management strategies. Database URL: http://www.fopgdb.site.

EFEKTIFITAS PENERAPAN MANAJEMEN PERPUSTAKAAN MENGGUNAKAN SENAYAN LIBRARY MANAJEMEN SISTEM (SLIMS) PADA PERPUSTAKAAN UNIVERSITAS INDONESIA TIMUR.

This research aims to evaluate the effectiveness of implementing library management using Senayan Library Management (SLIMS) at the University of East Indonesia Library, with a focus on the application of information technology to improve service efficiency and library information access. The research method used is descriptive qualitative with a phenomenological approach, exploring experiences and phenomena related to service mechanisms and information processing in the library. Data was collected through direct observation and in-depth interviews with library heads, librarians and users. Data analysis involves collecting, reducing, assessing, and critically interpreting data to reach conclusions. The implementation of SLIMS in libraries has had a positive impact, increasing operational efficiency with easy access via online OPAC, bibliographic management and fast E-Library membership. Despite progress, integration of SLIMS with other technologies such as online access to e-journal and e-book collections is still in the preparation stage. Constraining factors involve data availability, metadata standards, security and access, changes in digital resources, identity management, resource availability, and alignment with user needs which are still being adapted.

Test Center Location Problem: A Bi-Objective Model and Algorithms

The optimal placement of healthcare facilities, including the placement of diagnostic test centers, plays a pivotal role in ensuring efficient and equitable access to healthcare services. However, the emergence of unique complexities in the context of a pandemic, exemplified by the COVID-19 crisis, has necessitated the development of customized solutions. This paper introduces a bi-objective integer linear programming model designed to achieve two key objectives: minimizing average travel time for individuals visiting testing centers and maximizing an equitable workload distribution among testing centers. This problem is NP-hard and we propose a customized local search algorithm based on the Voronoi diagram. Additionally, we employ an ϵ-constraint approach, which leverages the Gurobi solver. We rigorously examine the effectiveness of the model and the algorithms through numerical experiments and demonstrate their capability to identify Pareto-optimal solutions. We show that while the Gurobi performs efficiently in small-size instances, our proposed algorithm outperforms it in large-size instances of the problem.

Outcomes of revisional surgery for stenosed hepaticojejunostomy procedures

Background Although hepaticojejunostomy provides durable and efficient access for bilioenteric continuity, it is not free from complications, as stenosis could occur in 25% of cases. Radiologically guided interventions are the best options for managing stenosed anastomoses. However, about 30% of stenosed patients show failure. Thus, surgical intervention (redo) is a must in such circumstances. Herein, we describe the outcomes of redo surgery for patients diagnosed with stenosed hepaticojejunostomy after failed radiological interventions. Patients and methods During the study period, we encountered 52 patients with stenosed hepaticojejunostomy, from whom 20 cases showed failed radiological intervention, and they were enrolled in our study, and their data were collected and retrospectively reviewed. Results The primary procedure was performed for cholecystectomy-related biliary injury (80%), choledochal cyst (15%), and as a step of the Whipple procedure (5%). All patients presented with jaundice, while 25% of them had cholangitis. Radiological assessment showed Bismuth class I, II, III, and IV in 20, 45, 25, and 10%, respectively. The time interval between the primary and the redo procedure ranged between 6 months and 5 years. Operative time ranged between 110 and 150 min, and hospital stay ranged between 4 and 10 days. Postoperative complications included bile leakage (5%), pulmonary embolism (5%), wound infection (20%), and incisional hernia (10%). No patients developed restenosis during the follow-up period. History of cholangitis was a significant risk factor for postoperative morbidity. Conclusion Revisional procedures for stenosed hepaticojejunostomy are considered safe and efficacious. The safety is manifested in the accepted complication rate, while the efficacy is manifested in the excellent success rate. However, it should be preserved only for patients with failed radiological interventions.

Rhodium(I) Catalyzed Hydroacylation Reactions of Alkenyl Compounds

AbstractTransition‐metal‐catalyzed hydroacylation of unsaturated substrates with aldehydes involving the formyl C(sp2)−H bond activation provides an expedient and efficient access to the carbonyl compounds such as ketones and esters, which are a class of important scaffolds in natural products and in drug development. Recently, extensive attention has been paid to the hydroacylation reactions of the components containing an alkenyl moiety that can trigger a regioselective transformation in the presence of a transition metal catalyst. In this review, we summarize the constructive endeavors in rhodium(I)‐catalyzed (formal) hydroacylation reactions from 2018, and the plausible pathway is also dissected to offer some insights into the reaction mechanism.

Legal and Ethical Issues Associated With Challenges in the Implementation of the Electronic Medical Record System and Its Current Laws in India.

Electronic health records (EHR) have revolutionized healthcare by providing efficient access to patient information, but their implementation poses various challenges. This paper examines the ethical and legal issues surrounding EHR adoption, particularly focusing on the healthcare landscape in India. Ethical considerations, including patient autonomy, confidentiality, beneficence, and justice, must guide EHR implementation to protect patient rights and privacy. Legal issues such as medical errors, malpractice, data breaches, and billing inaccuracies underscore the importance of robust policies and security measures. Threats to EHRs, such as phishing attacks, malware, encryption vulnerabilities, and insider threats, emphasize the need for comprehensive cybersecurity strategies. Overcoming challenges in EHR implementation requires meticulous planning, financial investment, staff training, and stakeholder support. Despite the complexities involved, the benefits of EHR adoption in improving patient care and operational efficiency justify the efforts required to address legal, ethical, and technical concerns. Embracing EHRs while mitigating associated risks is essential for delivering high-quality healthcare in the digital age.

Signal transmission diversity based successive interference cancellation-slotted aloha

Efficient medium access protocols are crucial in leveraging the advancement in the physical layer techniques that have been proposed for the next-generation wireless networks. However, collisions among data packets in random access protocols reduce channel efficiency and hence the throughput. In this paper, we propose a MAC protocol based on both the signal transmission diversity and Successive interference cancellation (SIC) to improve the throughput. In the proposed Medium Access Control (MAC) protocol, the receiver receives two sets of signals from the transmitters over two uncorrelated time slots. Inter slot SIC is first carried out at the receiver over two independent sets of received interfered signals. Signals are decoded by canceling those signals that have already been decoded in one set from the other set. Closed-form expressions for the packet decoding probability, system throughput, average packet transmission delay, and energy efficiency have been derived by considering order statistics of received signal power. Analytical results are validated against simulation. Maximum achievable throughput of the proposed scheme is shown to be four times that of slotted Aloha and twice that of a slotted Aloha with SIC.

Enhanced collaborative networking protocol based on clustering mechanism for UV networks

Developing a highly efficient multi-node media access control protocol tailored for ultraviolet (UV) networks poses a significant challenge. While our team's UV random-access collaborative networking protocol, utilizing time-division multiple access (UVCN-TDMA), has been instrumental, its scalability is hindered by the number of network nodes. To address this limitation and facilitate large-scale UV node networking, this study advances the UVCN protocol by introducing an enhanced collaborative networking protocol known as the enhanced collaborative clustering mechanism (eCOCM). This study examined the impact of network topology, various data services, and the number of cluster nodes on network performance within the proposed eCOCM framework. Additionally, a comparative analysis between the eCOCM protocol and conventional clustering systems was conducted. The findings demonstrate notable enhancements across key performance metrics including throughput, packet loss rate, delay, and channel utilization. Finally, functional experiments were conducted under two distinct network scenarios to validate the efficacy of the proposed protocol. This study addresses the immediate challenges in UV multi-node networking and offers pragmatic insights to steer its development forward.

Multicomponent Synthesis of α-Branched Amines via a Zinc-Mediated Carbonyl Alkylative Amination Reaction.

Methods for the synthesis of α-branched alkylamines are important due to their ubiquity in biologically active molecules. Despite the development of many methods for amine preparation, C(sp3)-rich nitrogen-containing compounds continue to pose challenges for synthesis. While carbonyl reductive amination (CRA) between ketones and alkylamines is the cornerstone method for α-branched alkylamine synthesis, it is sometimes limited by the sterically demanding condensation step between dialkyl ketones and amines and the more restricted availability of ketones compared to aldehydes. We recently reported a "higher-order" variant of this transformation, carbonyl alkylative amination (CAA), which utilized a halogen atom transfer (XAT)-mediated radical mechanism, enabling the streamlined synthesis of complex α-branched alkylamines. Despite the efficacy of this visible-light-driven approach, it displayed scalability issues, and competitive reductive amination was a problem for certain substrate classes, limiting applicability. Here, we report a change in the reaction regime that expands the CAA platform through the realization of an extremely broad zinc-mediated CAA reaction. This new strategy enabled elimination of competitive CRA, simplified purification, and improved reaction scope. Furthermore, this new reaction harnessed carboxylic acid derivatives as alkyl donors and facilitated the synthesis of α-trialkyl tertiary amines, which cannot be accessed via CRA. This Zn-mediated CAA reaction can be carried out at a variety of scales, from a 10 μmol setup in microtiter plates enabling high-throughput experimentation, to the gram-scale synthesis of medicinally-relevant compounds. We believe that this transformation enables robust, efficient, and economical access to α-branched alkylamines and provides a viable alternative to the current benchmark methods.

Palladium-Catalyzed 1,2-Alkynylarylation of Vinyl Arenes with Haloalkynes and Arylboronic Acids.

We herein disclose a novel palladium-catalyzed 1,2-alkynylarylation of vinyl arenes using haloalkynes and arylboronic acids as coupling partners. This reaction is characterized by broad substrate scope, controllable reaction sequence, and excellent chemo- and regioselectivities. Mechanistic investigations suggest that the reaction is initiated by regioselective insertion of vinyl arenes into the alkynyl-Pd(II) species, and the silver salt is crucial for this transformation, serving as both the Lewis acid and halide scavenger. This protocol provides efficient access to new carbon skeletons, which are embedded in the key biologically active motifs.

Study on tiered storage algorithm based on heat correlation of astronomical data

With the surge in astronomical data volume, modern astronomical research faces significant challenges in data storage, processing, and access. The I/O bottleneck issue in astronomical data processing is particularly prominent, limiting the efficiency of data processing. To address this issue, this paper proposes a tiered storage algorithm based on the access characteristics of astronomical data. The C4.5 decision tree algorithm is employed as the foundation to implement an astronomical data access correlation algorithm. Additionally, a data copy migration strategy is designed based on tiered storage technology to achieve efficient data access. Preprocessing tests were conducted on 418GB NSRT (Nanshan Radio Telescope) formaldehyde spectral line data, showcasing that tiered storage can potentially reduce data processing time by up to 38.15%. Similarly, utilizing 802.2 GB data from FAST (Five-hundred-meter Aperture Spherical radio Telescope) observations for pulsar search data processing tests, the tiered storage approach demonstrated a maximum reduction of 29.00% in data processing time. In concurrent testing of data processing workflows, the proposed astronomical data heat correlation algorithm in this paper achieved an average reduction of 17.78% in data processing time compared to centralized storage. Furthermore, in comparison to traditional heat algorithms, it reduced data processing time by 5.15%. The effectiveness of the proposed algorithm is positively correlated with the associativity between the algorithm and the processed data. The tiered storage algorithm based on the characteristics of astronomical data proposed in this paper is poised to provide algorithmic references for large-scale data processing in the field of astronomy in the future.

Enhancing Network Security through Advanced Authentication and Key Management Mechanisms

This paper introduces the SEAKS-PKMv2 protocol, a robust security mechanism aimed at addressing vulnerabilities within the PKMv2 framework, particularly focusing on mutual authentication, key management, and encryption in mobile WiMAX networks. By integrating RSA-based and EAP-based authentication methods, SEAKS-PKMv2 establishes a secure environment that mitigates risks such as replay, man-in-the-middle and interleaving attacks. The protocol adopts a distributed authentication and localized key management approach, facilitating efficient and secure network access and data transmission. Through simulation, we evaluate the SEAKS-PKMv2 protocol’s performance in terms of packet delivery ratio, overhead, processing time, and resilience against rogue relay station attacks. The findings demonstrate significant improvements in network security and efficiency, confirming the effectiveness of SEAKS-PKMv2 in enhancing the integrity and confidentiality of communications in distributed network settings.