Key Management Issues Research Articles

A comprehensive review on technology transfer

In the evolving corporate world, there's a growing focus on leveraging technological assets through technology transfer, a trend fueled by globalization, economic liberalization, and stronger intellectual property rights since the World Trade Organization's inception. These factors have integrated technology transfer as a critical aspect of the global business framework. However, the process of technology transfer is complex, and transferees often lack the necessary skills for effective management. While existing literature extensively covers these topics, it notably lacks practical solutions for these challenges. To bridge this gap, this paper introduces a novel "Life Cycle Approach for Planning and Implementing a Technology Transfer Project." This approach is designed to help avoid common pitfalls and address key management issues in technology transfer. The study begins by exploring the concept of technology transfer and reviews several existing models. It evaluates their pros and cons, leading to the proposition of the "Life Cycle Approach." This innovative model is intended to resolve frequent problems encountered by technology transferees, providing a structured methodology for managing technology transfer initiatives. The paper concludes with a mention of a project by the UNESCAP Asian and Pacific Centre for Transfer of Technology (APCTT), which utilizes this Life-Cycle concept. This project exemplifies the approach's practicality in enhancing the Asia-Pacific region's technology transfer capabilities, highlighting its relevance and applicability in diverse global contexts.

Retracted: Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios

Retracted: Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios

Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods

Real-time and accurate prediction of terminal area arrival traffic flow is a key issue for terminal area traffic management. In this paper, we study the advantages and disadvantages of traditional dynamics-based prediction methods and time-series based prediction methods in the first step. Taking the advantages of the two type of methods, a terminal area arrival flow prediction framework based on airspace situation is proposed. In our method, the airspace situation is used as the machine learning feature to estimate the number of arrival aircraft. In addition, also based on machine learning approach, a correction stage is added to the algorithm to improve the accuracy of the prediction. ADS-B data collected from the terminal area of Chengdu is used to study the prediction accuracy based on different machine learning algorithms in the proposed framework. Experimental results show that the proposed method can predict the air traffic flow accurately. The average absolute error is only 0.35 aircraft/15 min, the root mean square error is 0.67 aircraft/15 min, and the maximum absolute error is 2 aircraft/15 min. Compared with the AOL method, our proposed method improves the accuracy of prediction by a margin of 90 % and 60 % according to the evaluation metrics of MAE and MAXAE, respectively.

Considerations on the improvement of height benefit in children with central precocious puberty

With the changes in various factors such as genetics and the environment, the incidence of childhood precocious puberty has been gradually increasing. Improving height is one of the key issues in the clinical management of precocious puberty. Currently, gonadotropin-releasing hormone analogs (GnRHa) remain the preferred treatment for precocious puberty, but their effect on height improvement is influenced by multiple factors, which may result in lower-than-expected height benefits. Combining recombinant human growth hormone (rhGH) therapy with GnRHa treatment is an alternative strategy to enhance the efficacy of GnRHa, but there is still no clear recommendation regarding the timing of their combination. Considering the current status of precocious puberty treatment, it is crucial to reevaluate the effects of GnRHa monotherapy and combination therapy with rhGH on height improvement. This article discusses strategies such as combination therapy indications to guide clinical medication and help children with precocious puberty achieve optimal height benefits.

Digital Twin Technology Drives Innovation in Higher Education Management Mechanisms

Abstract With the rapid advancement of information technology, the integration of digital twin technology into the higher education management framework has emerged as a critical challenge. This paper introduces an innovative mechanism leveraging digital twin technology to address key issues in higher education management. The mechanism incorporates a novel evaluation method that utilizes the benefits of fuzzy comprehensive evaluation over gray clustering to design the steps for fuzzy gray clustering. Subsequently, this study has successfully developed a higher education management evaluation model. M school has been chosen as the empirical study site to test the model concurrently. The findings indicate that in assessing the quality of higher education management, the distribution of weights across four primary indicators are as follows: evaluation and feedback (25.853%), teaching organization and design (25.125%), teaching content (24.873%), and teaching ability (24.149%). Notably, teaching organization, design, evaluation, and feedback collectively account for over 50% of the overall weights. Moreover, the implementation of digital twin technology resulted in a significant alteration in 70% of participant grades, with an observed increase in the proportions of A and B grades and a decrease in C and D grades.

Key Issues for Modelling, Operation, Management and Diagnosis of Lithium Batteries: Current States and Prospects

Key Issues for Modelling, Operation, Management and Diagnosis of Lithium Batteries: Current States and Prospects

Blockchain-Enabled Privacy-Preserving Authentication Mechanism for Transportation CPS With Cloud-Edge Computing

In this article, we propose a secure and effective blockchain-enabled privacy-preserving authentication scheme for the transportation cyber-physical system (CPS) with the cloud-edge computing environment, which supports unconditional anonymity and data batch integrity verification while greatly simplifying key management issues. The proposed privacy-preserving authentication scheme employs an elliptic curve to construct a pairing-free ring signature scheme, which greatly reduces the resources overhead in the transportation CPS with cloud-edge computing. Moreover, the authentication process is performed on the blockchain to provide more reliable service information for vehicular communication. Furthermore, the security proof of the scheme is demonstrated based on the elliptic curve discrete logarithm problem under the random oracle model, and gives the corresponding security analysis. Finally, a simulation experiment demonstrates that the proposed scheme is feasible compared with the existing schemes.

ANALISIS DESAIN SISTEM PENDATAAN FASILITAS DI PROGRAM STUDI UNIVERSITAS


 
 
 The research aims to analyze and design a campus facility management application system for the digital business program for students. The background of this research is the importance of having an efficient and integrated system to manage campus facilities in the context of the digital business program. The objectives of this study are to identify key issues in campus facility management, design a system that meets the needs of the digital business program, and test the successful implementation of the system. The research methodology includes system requirement analysis through primary and secondary data collection, identification and documentation of campus facility management processes, and system requirement analysis. The system design approach used is the Waterfall method, with sequential and structured development steps, incorporating several techniques: (1) use case diagrams and scenarios, (2) Sequence diagrams, (3) Activity diagrams. The results of this research include an integrated system design, including database design, intuitive user interface, and features such as facility registration, reservation, and availability monitoring. The system also allows students to submit repair requests and report facility damages. This research concludes that by implementing a facility management application system, the digital business program for students can be more efficient in managing campus facilities. This system enables real-time monitoring of facility availability, speeds up the reservation process, and improves responsiveness to repair requests.
 
 

Provably secure lightweight certificateless lattice‐based authenticated key exchange scheme for IIoT

SummaryThrough the Industrial Internet of Things (IIoT), the manufacturing enterprises have significantly enhanced the production efficiency. The transmission of data in IIoT over public channels has brought about information leakage issues. Therefore, it is crucial to agree on a session key among the participants. In recent years, numerous authenticated key exchange (AKE) schemes have been designed. However, those AKE schemes which adopt the certificateless approach to tackle certificate management and key escrow may remain vulnerable to quantum attacks, and other AKE schemes which are based on lattice hard problem so as to achieve the post quantum security may incur key management issues. To simultaneously address the aforementioned challenges, we propose a lightweight certificateless lattice‐based authenticated key exchange (C2LAKE) scheme. Upon the hardness assumptions of the inhomogeneous small integer solution (ISIS) and computational bilateral inhomogeneous small integer solution (CBi‐ISIS) problems, the C2LAKE scheme has been demonstrated to be secure in the eCK model and the random oracle model (ROM). Better trade‐off among security and functionality features, and communication and computation costs make the C2LAKE scheme suitable and applicable in the IIoT environment.

Research on Credit Risk Contagion of Commercial Banks Based on Copula Model

Research on the credit risk contagion effect of commercial banks is a key issue in credit risk management of commercial banks. This paper constructs a measurement framework for the credit risk contagion effect of commercial banks based on the Copula function theory. On the basis of selecting the appropriate Copula function and measuring specific parameters, taking Bank of China and Industrial and Commercial Bank of China as examples, the tail correlation coefficient was used to measure the credit risk contagion effect of the two banks, and relevant conclusions were drawn.

Logistics management for the future: the IJLRA framework

ABSTRACT In this discussion paper, we aim to examine the key issues of logistics management in the Industry 4.0 era by addressing various major challenges. To be specific, we first establish an amended definition of logistics management, highlighting the new elements of cash flow, in both the cyber and physical worlds. We then review the highly relevant selected literature and propose a framework for future logistics management. Our proposed framework includes five critical areas, namely Industry 5.0, Joint-venture, Legal-concerns, Risk management, Automation and artificial intelligence (AI), and hence we call it the ‘IJLRA’ framework. For each area, we identify the major challenges that deserve further analyses. We believe that with proper logistics management under the IJLRA framework, organisations in the supply chain can achieve the crucial goals of logistics – achieving the right time, right place, right quality, and everything right – to satisfy customer needs. Finally, we also propose a future research agenda for logistics management.

Increased CAR-T Infusions Occur in Conjunction with Decreased Hematopoietic Stem Cell Transplantation

Background: Chimeric Antigen Receptor T-cell (CAR-T) therapies were first approved by the FDA in 2017, and multiple commercial products are currently available. Hematopoietic stem cell transplantation (HSCT) is another treatment strategy often utilized for patients with advanced and/or relapsed hematologic malignancies. Both CAR-T and HSCT require significant, overlapping resources for their collection, storage, and processing. Understanding the impact of evolving standards of care in clinical practice is necessary in the planning of resource allocation and laboratory expansion. We aimed to characterize the trends of CAR-T and HSCT infusions over a five-year period. Methods: The processing lab database was reviewed to compile a list of patients that received either CAR-T or HSCT (autologous or allogeneic) infusions, between 01/01/2018 and 12/12/2022. The number of individual HSCTs and CAR-T infusions were plotted over time. We also calculated the percent contribution of both HSCT and CAR-T to the total number of products infused per year. We subsequently examined these parameters, within the specific diagnoses of diffuse large B-Cell lymphoma/large cell lymphoma (DLBCL/LCL, including double and triple hit DLBCL and High-Grade lymphoma) and multiple myeloma (MM), including MM with amyloid and MM with plasma cell leukemia/plasmacytoma. Simple linear regression was used to calculate statistical significance to determine if the slopes were non-zero, and the direction of change over time. Results: Overall, our study included 210 CAR-T infusions and 2366 HSCTs. 89/210 (42%) patients who received a CAR-T product also received HSCT between 2018 and 2022, with 85/89 receiving HSCT prior to CAR-T infusion and 4/89 receiving CAR-T prior to HSCT, including two patients who received HSCT before and after CAR-T. The median interval between the most recent HSCT and subsequent CAR-T was 37 months. DLBCL/LCL and MM were the disease indications for which CAR-T was most utilized, accounting for 87.6% of the 210 procedures. The total number of CAR-T procedures increased significantly over the five-year period, from 24 in 2018 to 74 in 2022 (Slope=13.8; p=0.02), accompanied by a marked decrease in the number of HSCT from 502 in 2018 to 393 in 2022 (Slope=-26.6; p=0.06). The overall number of infusions (calculated as number of HSCT + number of CAR-T) declined slightly, though this was not statistically significant (mean 511 + 30.6 per year; Slope=-12.8; p=0.22). When expressed as a percentage of the total number of infusions, we observed a significant increase in the proportion of CAR-T, from 4.6% in 2018 to 15.8 % in 2022, (Slope=2.98; p=0.02), and a significant decrease in the proportion of infusions that were HSCT, from 95.4% in 2018 to 84.2% in 2022 (Slope=-2.98; p=0.02). In DLBCL, we observed a slight decrease in the number of overall infusions, from 71 in 2018 to 58 in 2022 (Slope=-3.5; p=0.18) and a significant decrease in HSCT from 47 in 2018 to 26 in 2022 (Slope=-6.0; p=0.0172), while the number of CAR-T infusions remained stable (mean=27.4 + 5.3 per year; Slope=2.5; p=0.14). In MM, we observed a marked increase in CAR-T infusions, from none in 2018 to 33 in 2022 (p=0.0544), while the total number of infusions remained stable (Mean 231.8 + 16.54; slope=-3.5; p=0.58) and HSCT slightly decreased, from 228 in 2018 to 184 in 2022, though this was not statistically significant (Slope=-11.5; p=0.18). We observed a non-significant increase in the percent contribution of CAR-T to the total number of infusions performed for MM, from 0% in 2018 to 15.3% in 2022 (Slope=3.62; p=0.06) while in DLBCL we observed a significant increase, from 33.8% in 2018 to 55.2% in 2022 (slope=6.42; p=0.017). Conclusion: The findings from this study suggest a gradual trend in the clinical utilization of human cellular therapy products over time. Since many of the resources and personnel involved in the collection, storage, and processing of these products are shared, an increase in CAR-T is an important observation. These findings underscore key issues in lab management for cell manufacturing facilities when considering resource allocation and infrastructure development. More analysis is needed to determine if the decrease in HSCT and the increase in CART are related.

A surrogate deterioration model of debris retention systems towards cost-effective maintenance strategies and increased protection efficacy

Protection systems are usually implemented in mountains aiming to resist natural dangerous phenomena. As any other critical infrastructure, protection systems should always withstand and operate efficiently as they guarantee the safety of people and protect socio-economic assets. However, the efficacy of these systems decreases with the increase of the deterioration level of the interdependent components, which constitute them. To provide desirable operation over their lifetime, the management of protection systems is of paramount importance. A major key issue in such critical infrastructure management is to optimize the cost effectiveness of maintenance actions while maintaining a sufficient protection efficacy. This study proposes a decision-aiding model to assess different maintenance strategies applied to a protection system against debris flows. The model is constructed using physics-based stochastic Petri nets. It incorporates (1) a stochastic deterioration model, which is a surrogate model of a physics-based model developed for building deterioration trajectories of the system and (2) maintenance model that permits assessing the cost and efficiency of maintenance strategies. This study addresses the case of a debris retention system, in which the progressive filling of its basin by debris materials is modeled. This is followed by assessing several maintenance strategies concerning the cleaning of the basin. A simple sensitivity analysis is also carried out in order to check the effect of the uncertainty that invades the model’s inputs on maintenance decisions. A numerical analysis is performed using real data of the retention system located in the Claret torrent in France and subjected to debris flows over a period of 50 years.

Medication adherence management for in-home geriatric care with a companion robot and a wearable device

Older adults are prone to forgetfulness and varying degrees of cognitive impairment, which can lead to not taking medication on time, taking the wrong medication or the wrong dose, all of which can negatively affect a person’s health and recovery from illness. Existing medication reminders, like mobile apps and pill boxes, are neither age-friendly nor designed to minimize the burden of documenting medication adherence. In this paper, we present a Medication Adherence Management System (MAMS) for elders, which is based on a companion robot and a wearable device. The MAMS addresses the key issues of safe medication management: medication reminders, medication confirmation, and medication history recording. Human subject tests were conducted to evaluate the performance, acceptability and usability of the MAMS. Results from 35 human subjects showed that the average scores of the convenience, usefulness, and adoptability of the proposed MAMS were 8.17, 8.49, and 8.23 out of 10, respectively. The System Usability Scale (SUS) scores for the MAMS, the robot, and the wearable device are 75.29, 78.60 and 76.40, respectively. We believe the MAMS has potential use in future in-home geriatric care.

COMPARATIVE STUDY OF ELGAMAL AND LUC ALGORITHM IN CRYPTOGRAPHIC KEY GENERATION

In today’s era of digital, data security in communication channel becomes important factor to be considered during exchange of information. Cryptography is one of techniques to send and receive information securely through an insecure channel. Based on the number of keys used, encryption methods are categorized as symmetric and asymmetric cryptography. Compared to symmetric cryptography that often suffers from key management issues, asymmetric cryptography delivers higher level of data security. Thus, asymmetric cryptography is more preferred when security if the priority. To determine suitable algorithm, three essential aspects should be considered: security, speed, and prime numbers. This study aims to compare the application of asymmetric cryptographic algorithms between ElGamal and LUC algorithms in the key generation process. A comparative analysis of these two algorithms was conducted by evaluating the processing speed and prime numbers during key generation process to determine the advantages and drawbacks from ElGamal and LUC algorithms. The application in this study was developed using PHP programming language by following the Waterfall Model. Application testing involved two kinds of tests: (i) Black Box test and (ii) System Usability Scale (SUS) test. Results show the application developed from this study successfully performed the encryption, decryption, and checking of prime numbers from ElGamal and LUC algorithms. It displayed ciphertext, plaintext, and the speed of the encryption and decryption process from both methods. The black box test showed that all application functions follow the user's needs, while System Usability Scale (SUS) test obtained an average score of SUS interpretation of 83.75. This value means the adjective ratings was “excellent”, the grade scale was “B”, and the acceptability range was “acceptable”. It is concluded that the LUC algorithm superior to ElGamal in terms of the speed of encryption process. However, during the decryption process the LUC algorithm responded slower than ElGamal.

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

AbstractThe technological integration of the Internet of Things (IoT)‐Cloud paradigm has enabled intelligent linkages of things, data, processes, and people for efficient decision making without human intervention. However, it poses various challenges for IoT networks that cannot handle large amounts of operation technology (OT) data due to physical storage shortages, excessive latency, higher transfer costs, a lack of context awareness, impractical resiliency, and so on. As a result, the fog network emerged as a new computing model for providing computing capacity closer to IoT edge devices. The IoT‐Fog‐Cloud network, on the other hand, is more vulnerable to multiple security flaws, such as missing key management problems, inappropriate access control, inadequate software update mechanism, insecure configuration files and default passwords, missing communication security, and secure key exchange algorithms over unsecured channels. Therefore, these networks cannot make good security decisions, which are significantly easier to hack than to defend the fog‐enabled IoT environment. This paper proposes the cooperative flow for securing edge devices in fog‐enabled IoT networks using a permissioned blockchain system (pBCS). The proposed fog‐enabled IoT network provides efficient security solutions for key management issues, communication security, and secure key exchange mechanism using a blockchain system. To secure the fog‐based IoT network, we proposed a mechanism for identification and authentication among fog, gateway, and edge nodes that should register with the blockchain network. The fog nodes maintain the blockchain system and hold a shared smart contract for validating edge devices. The participating fog nodes serve as validators and maintain a distributed ledger/blockchain to authenticate and validate the request of the edge nodes. The network services can only be accessed by nodes that have been authenticated against the blockchain system. We implemented the proposed pBCS network using the private Ethereum 2.0 that enables secure device‐to‐device communication and demonstrated performance metrics such as throughput, transaction delay, block creation response time, communication, and computation overhead using state‐of‐the‐art techniques. Finally, we conducted a security analysis of the communication network to protect the IoT edge devices from unauthorized malicious nodes without data loss.

Leveraging Radiopharmaceutical Programmatic Collaboration for Management of Pretherapy and On-treatment Urinary Incontinence.

Many parenteral radiopharmaceuticals available as anticancer therapy are filtered by the kidneys and excreted in the urine. Here, physician leaders of radiation medicine, nuclear medicine/molecular imaging, and the radiotheranostics programs as well as radiation safety officers, collaborated to develop a decision-making guideline for the administration of therapeutic radiopharmaceuticals in patients with pretherapy or day-of-treatment incontinence. We discussed challenges and opportunities in the screening of patients in urine collection strategies according to grade of urinary incontinence and in subsequent coordination of care. Lutetium-177 ( 177 Lu)-based radiopharmaceutical therapies provided clinical examples of how our procedures were operationalized. Our key management issues of urinary incontinence were cutaneous radiation injury and redness, infection, or pain. In response, we developed clinical practice guidelines for the recognition and management of incontinence-related adverse events. Common adverse events of urinary incontinence were noted in this study. Our how-to guideline for the safe administration of therapeutic radiopharmaceuticals for patients with urinary incontinence warrants further investigation and should continue to be evaluated across all radiopharmaceutical therapy agents.

Automatic Forecast of Intensive Care Unit Admissions: The Experience During the COVID-19 Pandemic in Italy

The experience of the COVID-19 pandemic showed the importance of timely monitoring of admissions to the ICU admissions. The ability to promptly forecast the epidemic impact on the occupancy of beds in the ICU is a key issue for adequate management of the health care system.Despite this, most of the literature on predictive COVID-19 models in Italy has focused on predicting the number of infections, leaving trends in ordinary hospitalizations and ICU occupancies in the background.This work aims to present an ETS approach (Exponential Smoothing Time Series) time series forecasting tool for admissions to the ICU admissions based on ETS models. The results of the forecasting model are presented for the regions most affected by the epidemic, such as Veneto, Lombardy, Emilia-Romagna, and Piedmont.The mean absolute percentage errors (MAPE) between observed and predicted admissions to the ICU admissions remain lower than 11% for all considered geographical areas.In this epidemiological context, the proposed ETS forecasting model could be suitable to monitor, in a timely manner, the impact of COVID-19 disease on the health care system, not only during the early stages of the pandemic but also during the vaccination campaign, to quickly adapt possible preventive interventions.

10-year results of simultaneous combined procedures of coronary artery stenting and transcatheter aortic valve implantation: a clinical case

Introduction. In recent years, transcatheter aortic valve implantation (TAVI) has become routine clinical practice in treatment of severe aortic stenosis in patients with high surgical risk. Timing of endovascular procedures is a key issue in management of patients with severe aortic valve stenosis and concomitant coronary heart disease. To date, there is no consensus on the advisability and necessity of performing simultaneous procedures of TAVI and coronary artery stenting. The long-term (over 10 years) outcomes of combined percutaneous coronary interventions in patients with severe aortic stenosis and coronary heart disease are not fully studied. Results and Methods. We described a long-term outcome in a 75-year-old female patient with marked aortic stenosis (maximum gradient = 103 mm Hg, mean gradient = 62 mm Hg, AVA area = 0.37 cm2), NYHA class II and hemodynamically significant coronary lesions. Given the high surgical risk (logistic EuroScore = 27.72%, STS = 17.21%), the patient underwent the following simultaneous procedures upon vital indications: coronary artery stenting and transcatheter aortic valve implantation with 23-mm Edwards Sapien XT prosthesis. There were no major intra- and perioperative complications. At the control examination 7 months later, the patient had no complaints. She reported an improvement in general well-being and increased tolerance of physical activities. The transprosthetic aortic blood flow parameters were as follows: peak gradient = 13 mm Hg; mean gradient = 7 mm Hg; V max = 1.8 m/s; there were 2 paraprosthetic fistulas with Grade 1–2 regurgitation. A control angiogram showed no restenosis in the coronary artery stents. 10 years after simultaneous interventions, hemodynamic parameters of the functioning aortic valve prosthesis were within the normal ranges. Control coronary angiography revealed satisfactory outcomes of coronary artery stenting. Conclusions. Simultaneous procedure of transcatheter aortic valve implantation combined with coronary artery stenting is feasible, effective, and safe. This technique can be used to treat patients with extremely high risk for open heart surgery. Keywords: aortic stenosis, transcatheter aortic valve implantation, coronary heart disease, coronary arteries, single-stage endovascular procedures

Dialysis with bipolar affective disorder: experience of competing treatments

The interaction of several serious illnesses presents considerable difficulty for both clinicians and patients, no matter what the coexisting diseases are. This results in huge anxiety for patients and worsens the difficulties understanding the risks and benefits of the treatment of each disorder. The authors present the clinical scenario where dialysis was commenced while sodium valproate was being taken for bipolar affective disorder, demonstrating the interface between bipolar affective disorder and renal failure and how their treatments caused deterioration in the comorbid condition. This case challenges accepted wisdom regarding the effects of dialysis on the sodium valproate levels in the body and discusses key clinical management issues.