Users Of System Research Articles

Website-based Mail Delivery Scheduling Monitoring System Application at Bappeda, Medan Mayor's Office

The Mail Delivery Scheduling Monitoring System at the Medan Mayor's Office BAPPEDA is a study on the implementation of an information technology system to increase efficiency in the letter delivery process at the Regional Development Planning Agency (BAPPEDA) at the Medan Mayor's Office. This research aims to understand how the use of a mail delivery scheduling monitoring system can optimize time management, increase accuracy, and improve transparency in mail handling in government environments. This study uses a qualitative approach with in-depth interviews and direct observation as data collection methods. The research results show that before the implementation of the mail delivery scheduling monitoring system, the mail delivery process at BAPPEDA tended to be unstructured, time consuming, and prone to errors. However, after the adoption of this system, there was a significant improvement in time management and operational efficiency. System users report improvements in mail tracking, on-time delivery, and real-time monitoring of delivery status. However, several challenges were also identified during system implementation, including resistance to change from some staff, lack of adequate training, and the need for routine maintenance of the system. Thus, this research concludes that although the mail delivery scheduling monitoring system has brought many benefits to BAPPEDA of the Medan Mayor's Office, continued efforts are needed to ensure long-term success and full acceptance by all staff.

Blood Transfusion Procedure: Assessment of Serbian Intensive Care Nurses' Knowledge.

Many patients require administering one or more blood components during hospitalisation in the Intensive Care Unit (ICU). Therefore, nurses' knowledge of who is responsible for immediately administering blood transfusions, monitoring patients, and identifying and managing transfusion reactions is crucial. This cross-sectional descriptive-analytical study aimed to assess the knowledge of ICU nurses in tertiary healthcare institutions about blood transfusion procedures. The questionnaire about the transfusion procedure was designed and reviewed by experts. The questionnaire consisted of 29 items divided into three domains. The scores on the knowledge test ranged from 10 to 27. Generally, 57.7% of nurses had moderate, 23.4% low, and 18.9% high levels of knowledge about the transfusion procedure. Most nurses answered correctly about refreezing fresh frozen plasma, verifying the transfusion product, and identifying the patient. Of the nurses, 91.0% would recognise mild allergic reactions, and 98.2% knew about the supervision of sedated patients. Nurses showed poor knowledge of the length of usage of the same transfusion system for red blood cells, labelling, and transfusion administration in febrile patients. Nurses with higher education and longer working experience had significantly better outcomes (p = 0.000) on the knowledge test. Continuous education of ICU nurses on safe transfusion usage is recommended.

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling

Public libraries are an essential public good. We ask: are urban library systems providing equitable service to all residents, in terms of the books they have access to and check out? If not, what causes disparities: heterogeneous book collections, resident behavior and access, and/or operational policies? Existing methods leverage only system-level outcome data (such as overall checkouts per branch), and so cannot distinguish between these factors. As a result, it is difficult to use their results to guide interventions to increase equitable access. We propose a Bayesian framework to characterize book checkout behavior across multiple branches of a library system, learning heterogeneous book popularity, overall branch demand, and usage of the online hold system, while controlling for book availability. In collaboration with the New York Public Library, we apply our framework to granular data consisting of over 400,000 checkouts during 2022. We first show that our model significantly out-performs baseline methods in predicting checkouts at the book-branch level. Next, we study spatial and socioeconomic disparities. We show that disparities are largely driven by disparate use of the online holds system, which allows library patrons to receive books from any other branch through an online portal. This system thus leads to a large outflow of popular books from branches in lower income neighborhoods to those in high income ones. Finally, we illustrate the use of our model and insights to quantify the impact of potential interventions, such as changing how books are internally routed between branches to fulfill hold requests.

The use of DryShield versus rubber dam isolation systems among pediatric patients with different airway patency: A randomized clinical trial

ObjectivesThis randomized clinical trial aimed to evaluate the impact of DryShield isolation (DSI) and rubber dam isolation (RDI) system usage on vital signs, behavior, pain and discomfort, and chairside time required among children with different airway patencies based on the Modified Mallampati Classification (MMC). Material and methodsHealthy, cooperative children who required fissure sealant in at least two contralateral, fully erupted, permanent first molars were included. Airway patency was determined by two trained and calibrated dentists using the MMC. The participants were categorized based on their MMC scores into patent airways (classes I and II) and non-patent airways (classes III and IV). The dental procedure was videotaped during treatment, and vital signs, including arterial oxygen saturation, heart rate, and blood pressure, were recorded every 3 min. The participants’ subjective pain and discomfort were evaluated using a previously validated Arabic interview questionnaire and a validated Arabic version of the Wong–Baker Faces Pain Rating Scale. The participants’ behavior and behavioral pain were evaluated utilizing the Frankl Behavior Scale and the face, legs, activity, cry, and consolability scales, respectively. ResultsThere were no significant differences in any of the vital signs between DSI and RDI. DSI use yielded a significant reduction in chairside time (P < 0.001) and was more bothersome (P < 0.001) than RDI use among all participants, regardless of airway patency. DSI was associated with significantly better behavior during the dental procedure (P = 0.002) and less behavioral pain (P < 0.001) among all participants, regardless of airway patency. ConclusionIrrespective of airway patency, DSI outperformed RDI in terms of behavior, pain, and procedure duration; however, DSI was characterized by noise, pressure on soft tissues, and an increased tendency to induce gag reflexes.

Time parameters verification of a numerical simulator of an automated store warehouse

The intelligent automated store warehouse (iZMS) research and development project was created to meet the expectations of a modern automatic store. The project concerns the development of the concept and pilot implementation of an automated store warehouse adapted to the autonomous and automatic sales of goods selected by retail chains. One of the aims of the iZMS project is to develop a scalable solution that allows for the simple adaptation of the iZMS to the needs of a potential customer, taking into account their requirements in terms of the quantity and variety of assortment offered within the iZMS. An important requirement in the use of the iZMS system is minimizing the customer waiting time for purchased products. This problem is related, among others, to the placement of products on the shelves of racks and will be solved in the optimizing process. Running optimization tasks requires a simulator that will mimic the features of a physical device faster than in real time in order to generate many proposals of the allocation of goods on storage racks in the shortest possible time and choose the best one, guaranteeing the shortest picking time of a representative basket of goods. A numerical simulator was developed to model the physical structures of food storage equipment and then simulate the sales process. Among the results obtained, the most important are the time parameters of individual operations, which will ultimately be used to optimize the placement of goods on storage racks. After analyzing the needs resulting from the usage of the iZMS system, we decided to develop a dynamic, deterministic simulator with discrete objects and perform the simulation with a controlled time increment and, in some cases, to utilize elements of event-driven simulation, in which the flow of goods is simulated with first-in, first-out (FIFO) queues. Finally,verification of the numerical simulator with a physical model confirmed that it can be employed in optimization processes.

Application of DeLone and McLean model on students’ E-learning systems during COVID-19 using PLS-SEM

Education is the most important factor for growth of countries’ social and economic development. The purpose of this study is to know online learning experience, system satisfaction and system usage of students in University of Gujrat. Due to COVID-19 pandemic, traditional (face to face) learning method was stopped and educational institutions shifted to online teaching and learning platforms. To gauge online learning system (platforms) a modified DeLone and McLean (D&amp;M) model was used that comprising Instructors’ Information Quality, Instructors’ Service Quality, System Quality, System Usage, System Satisfaction and Academic Achievements factors. The data was collected from 340 students (Batch, 2017-20) using self-administrated questionnaire through Students’ University email medium. Reliability and Validity of the data was tested and found up to the mark. The results of Confirmatory Factor Analysis revealed that all underlying factors achieved measurement invariance test and Fernell and Lacker criteria. Multi-group analysis showed that students of BS4th and BS8th/MSc4th have different opinion with respect to instructors’ information quality towards system satisfaction. Also, students of BS6th and BS8th/MSc 4th have different view according to system usage and their academic achievements. Further, PLS-SEM results showed that students of BS6th and BS8th/MSc4th reported significant positive impact of System Usage on their Academic Achievements. Furthermore, results depicted that a week negative relationship exist between instructors’ service quality with system satisfaction.

Online education and learning management system usage in a South African Economic and management faculty during COVID-19

The COVID-19 pandemic forced the rapid move of Higher Education from face-to-face to online formats worldwide; initially referred to as emergency remote teaching. As Higher Education transitions into a “new normal” of online and blended education, how educators had transitioned to online spaces at an historically Black and disadvantaged university in South Africa was explored; more specifically, how educators were using the Sakai learning management system (LMS)/virtual learning environment (VLE). This study investigated the instructional design and educational-soundness of online pedagogical practices. To this end, forty-eight (48) online undergraduate course sites from an Ecnomic and Management Sciences faculty were reviewed from nine departments and programmes, according to socio-constructivist and Universal Design of Learning (UDL) principles. It was found that Sakai LMS/VLE tool usage was skewed towards administrative, evaluative and management functions over pedagogical functions: communication (83%), evaluation (83%), content (71%), monitoring (67%), and collaboration (52%). While most courses included varied types of learning activities, they were dominated by traditional and passive approaches, and less inter/active approaches: acquisition (89%), practice (71%), production (64%), discussion (35%), collaboration (31%), and investigation (8%). The results from this study will guide future staff development initiatives to improve LMS/VLE instructional design and online educational practice. Future research includes qualitative exploration of both staff and student experiences. Implications for equity, social justice and transformation in South African Higher Education, and related contexts, are emphasised.

Mobile Application for Understanding Nutritional Labeling Focused on The Consumer

Objective: In this multidisciplinary study, a mobile application was designed as a technological tool that contributes to the training of informed consumers capable of interpreting the nutritional characteristics of the products they purchase. Theoretical Framework: Mobile applications that allow to display the sodium, sugar and fat content of a product in a way that is understandable to the consumer. Additionally, an area of opportunity is evident in the way of presenting this information and in the calculation of daily energy content. Design/Methodology/Approach: The agile Scrum methodology was used. The requirements of the mobile application were obtained through user stories, which allowed two sprints to be done. The application was subjected to unit and integration testing, connectivity and functionality type. Findings: Mobile application for users of the Android operating system that allows you to read, through a smartphone, the barcode of a product on the front labeling and display the sugar, sodium and fat content; Moreover, it issues recommendations for their consumption in accordance with the FAO, WHO, UNU. Research, Practical &amp; Social Implications: Contributes to the training of informed consumers capable of having a better interpretation of the nutritional characteristics of the products they purchase. Originality/Value: Mobile application that to scan the barcode of a product and graphically display, through teaspoons, the content in grams of sodium, sugar and calories it contains. Moreover, it calculates the daily energy content according to some variables: sex, age, weight and level of physical activity.

First-principles investigation of structural electronic magnetic and thermodynamic properties of CdS alloyed with Co transition metal

This research work investigates the structural, electronic, and magnetic properties of Cd1–xCoxS compounds. The supercells with 16 atoms have been studied by substituting a Cd atom with a Co atom in the cubic unit cell CdS from x = 0 to x = 1 in a Zinc-Blende structure based on the first principles of spin-polarized density functional theory as implemented in the WIEN2k code. The full potential augmented plane wave method FP-LAPW (Full potential linear augmented plane wave) was used in this study to evaluate the structural properties of the compounds, the exchange–correlation term is based on the PBE-GGA (Perdew–Burke–Ernzerhof generalized gradient approximation). For other properties, such as electronic structures, densities of states, and magnetic properties, the TB-mbj GGA (Tight Binding modified Becke–Johnson) exchange potential approximation is utilized. In addition to these properties, the thermodynamic properties were added advantage to clarify their comportment as temperature variation. The analysis of the density of spin-polarized states showed the ferromagnetic character with a from x = 0.125 to x = 0.875. The calculated total magnetic moments of Cd1–xCoxS are addressed concerning the change in lattice parameters. To track the shift brought on by adding Co, we ran our calculationsfrom x = 0.125 to x = 0.875 for Cd1–xCoxS compounds. Hence, the negative energyformation indicates that our compound can be made experimentally. The material may be used for solar cell applications. In summary, our findings represent a guide for future research. The findings of this work might provide useful direction for the usage of this alloy system in a variety of device applications, For example in high-efficiency tandem solar cells, magnetic sensors, and photoconductive detector applications.

Interconnect Stress Testing as a Tool for Assessment of Reliability of Modern PCBs

The of miniaturization can be seen in electronics for some time already. The pinout of active components grows enabling them to have additional functions. The trend in usage of System in a Package (SiP) solutions is also evident thus routing of the active and passive elements became also challenging. To overcome this challenge boards with High Density Interconnection (HDI) where not only through hole, but also different kinds of microvias e.g. blind, buried, stacked, staggered via are used. The standard procedure to test reliability of boards and assemblies is very resource-hungry especially in time and money, as the tests have to be carried out in climatic chambers which lasts for weeks, followed by additional destructive testing like cross-sections. On the other hand IST (Interconnect Stress Testing) is a quick test, that enables to have assessment of the used technology especially the quality of the through holes of all types. Although the coupons are destroyed during the test, it is not necessary to test the manufactured circuits. This saves both materials and time. The technology optimizations and the key findings will be presented within the paper.

Book My Doctor Application

The mobile application, called "Book My Doctor Application," is designed for easy access to medical assistance by providing prompt and accurate information. The users of the healthcare system include physicians, patients, pharmacists, and pharmaceutical suppliers. The concept of the application will give users access to all content whenever and wherever they want, given that smartphone usage has skyrocketed. In today’s technologically advanced world, it is important to have a quick, digital solution for every issue so that any urgent needs can be meet in an accessible manner. This system has a symptom analyzer that analyzes the input symptoms and recommends medications or physicians based on the patient and his or her symptoms. Given how difficult it is to remind everyone in the modern world, medication reminders help users remember their medications. Anything to forget except loud. Many accounts help maintain data security by limiting the user to only data they are authorized to send, so data integrity is very useful. Again, this. The application includes a chat room where users can consult with doctors, avoid waiting in line at the hospital, access there. wallet, and take advantage of the health insurance service. The patient may have a health condition. He is supervised by a physician who can also review past medical records.

HYBRID DEEP LEARNING APPROACH TO IDENTIFY INTRUSION DETECTION WITH IMBALANCE DATASETS

The intrusion detection system is a computer-based system that constantly identifies all types of malicious activities by monitoring the network traffic. These intrusions and doubtful activities disturb all business activities performed over the public network, such as the Internet and all connected networks. It is an essential system to provide consistent and reliable transfer of information to complete e-commerce and e-business transactions and private communication using social sites. Various deep learning techniques are used to identify security attacks by observing the typical system usage profile and to restrict all of the network traffic if it is outside the scope of the standard profile. Our proposed system is used to combine various deep learning techniques to develop a hybrid deep learning model to identify any security attack in the network. The proposed hybrid deep learning model is trained using an integrated and balanced dataset by merging already available imbalanced benchmark datasets such as NSL-KDD, ISCX, CICIDS2017, and UNSWNB15. Our proposed system is limited to identifying security attacks in benchmark datasets and restricted to available deep-learning techniques and algorithms.

Early experiences on the OLCF Frontier system with AthenaPK and Parthenon‐Hydro

SummaryThe Oak Ridge Leadership Computing Facility (OLCF) has been preparing the nation's first exascale system, Frontier, for production and end users. Frontier is based on HPE Cray's new EX architecture and Slingshot interconnect and features 74 cabinets of optimized 3rd Gen AMD EPYC CPUs for HPC and AI and AMD Instinct 250X accelerators. As a part of this preparation, “real‐world” user codes have been selected to help assess the functionality, performance, and usability of the system. This article describes early experiences using the system in collaboration with the Hamburg Observatory for two selected codes, which have since been adopted in the OLCF test harness. Experiences discussed include efforts to resolve performance variability and per‐cycle slowdowns. Results are shown for a performance portable astrophysical magnetohydronamics code, AthenaPK, and a mini‐application stressing the core functionality of a performance portable block‐structured adaptive mesh refinement framework, Parthenon‐Hydro. These results show good scaling characteristics to the full system. At the largest scale, the Parthenon‐Hydro miniapp reaches a total of zone‐cycles/s on 9216 nodes (73,728 logical GPUs) at 92% weak scaling parallel efficiency (starting from a single node using a second‐order, finite‐volume method).

Intercomparison of Efficacy of Transcutaneous Electrical Nerve Stimulation and Precooling Vibration Device on Pain and Anxiety Management during Administration of Local Anesthesia Injection in 6-12-year-olds.

To compare and evaluate the efficacy of transcutaneous electrical nerve stimulation (TENS) and a vibrational precooling system in reducing pain and anxiety during the administration of local anesthesia in children aged 6-12 years old. A total of 60 children aged 6-12 years old participated in this randomized controlled trial and were randomly allocated to three groups: the conventional method group, the vibrational precooling system group, and the TENS group. The Modified Dental Anxiety Scale (MDAS), pulse rate, and oxygen saturation were recorded to assess the preoperative anxiety of the participating children. Sound, motor, and eyes (SEM) and face, legs, activity, cry, and consolability (FLACC) scores were recorded during the procedure, along with pulse rate and oxygen saturation, to measure pain during the procedure. This was followed by a self-administered visual analog scale (VAS) to assess the discomfort felt by the child. A statistically significant reduction in pain was observed with the usage of the vibration system and TENS, as measured by the FLACC scale, compared to the conventional method group. Similarly, statistically significant differences in SEM scores were noted between the vibrational precooling system group and the conventional method group, as well as between the TENS group and the conventional method group, with the highest scores observed in the conventional method group. The children reported the highest comfort levels with the usage of the vibration system, as indicated by the self-administered VAS. However, no statistically significant difference was observed within any group. The new vibrational precooling system as well as TENS can be effectively used to alleviate the pain experienced during the administration of local anesthesia. Singh K, Jhingan P, Mathur S, et al. Intercomparison of Efficacy of Transcutaneous Electrical Nerve Stimulation and Precooling Vibration Device on Pain and Anxiety Management during Administration of Local Anesthesia Injection in 6-12-year-olds. Int J Clin Pediatr Dent 2024;17(3):297-302.

Celebrating the Data from 100,000 Real-World Users of the MiniMed™ 780G System in Europe, Middle East, and Africa Collected Over 3 Years: From Data to Clinical Evidence.

Introduction: The present report celebrates the benchmarking of 100,000 MiniMed™ 780G system users in Europe, Middle East, and Africa (EMEA) and summarizes the major insights into the usability and outcomes of this system. Methods: Carelink Personal data (August 2020-August 2023) of users living in EMEA were analyzed. Continuous glucose monitoring-based endpoints were aggregated for (1) the full cohort and (2) a 12-month longitudinal cohort. Subanalyses were done for users on optimal settings (those spending ≥95% of time with glucose target of 100 mg/dL, and ≥95% of time with active insulin time of 2 h), for self-reported age groups (≤15 and ≥56 years) and for various countries/regions. Results: Data from 101,629 users (34 countries) were analyzed. Mean time in range (TIR) was 72.3%, glucose management indicator (GMI) was 7%, time below 70 mg/dL (TBR70) was 2.0% and time below 54 mg/dL (TBR54) was 0.4%. In terms of international targets, 59.6% of users achieved a GMI <7%, 62.5% a TIR >70%, 88.4% a TBR70 < 4%, and 90.0% a TBR54 < 1%. Data improved impressively in optimal setting users (TIR = 78.8%, and users reaching TIR >70% = 86.3%) while safety remained (TBR70 = 2.2% and TBR54 = 0.4%). Data showed consistency across self-reported age groups and geographies. In the longitudinal cohort, TIR reached 75.5% in the first month and remained 73.3% or higher over the 12-month period. Conclusion: Over 100,000 users of the MiniMed™ 780G system have demonstrated consistency in achieving target control of glycemia.

PillHarmonics: An Orchestrated Pharmacogenetics Medication Clinical Decision Support Service.

Pharmacogenetics (PGx) is increasingly important in individualizing therapeutic management plans, but is often implemented apart from other types of medication clinical decision support (CDS). The lack of integration of PGx into existing CDS may result in incomplete interaction information, which may pose patient safety concerns. We sought to develop a cloud-based orchestrated medication CDS service that integrates PGx with a broad set of drug screening alerts and evaluate it through a clinician utility study. We developed the PillHarmonics service for implementation per the CDS Hooks protocol, algorithmically integrating a wide range of drug interaction knowledge using cloud-based screening services from First Databank (drug-drug/allergy/condition), PharmGKB (drug-gene), and locally curated content (drug-renal/hepatic/race). We performed a user study, presenting 13 clinicians and pharmacists with a prototype of the system's usage in synthetic patient scenarios. We collected feedback via a standard questionnaire and structured interview. Clinician assessment of PillHarmonics via the Technology Acceptance Model questionnaire shows significant evidence of perceived utility. Thematic analysis of structured interviews revealed that aggregated knowledge, concise actionable summaries, and information accessibility were highly valued, and that clinicians would use the service in their practice. Medication safety and optimizing efficacy of therapy regimens remain significant issues. A comprehensive medication CDS system that leverages patient clinical and genomic data to perform a wide range of interaction checking and presents a concise and holistic view of medication knowledge back to the clinician is feasible and perceived as highly valuable for more informed decision-making. Such a system can potentially address many of the challenges identified with current medication-related CDS.

Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

Device fingerprinting combined with Machine and Deep Learning (ML/DL) report promising performance when detecting cyberattacks targeting data managed by resource-constrained spectrum sensors. However, the amount of data needed to train models and the privacy concerns of such scenarios limit the applicability of centralized ML/DL-based approaches. Federated learning (FL) addresses these limitations by creating federated and privacy-preserving models. However, FL is vulnerable to malicious participants, and the impact of adversarial attacks on federated models detecting spectrum sensing data falsification (SSDF) attacks on spectrum sensors has not been studied. To address this challenge, the first contribution of this work is the creation of a novel dataset suitable for FL and modeling the behavior (usage of CPU, memory, or file system, among others) of resource-constrained spectrum sensors affected by different SSDF attacks. The second contribution is a pool of experiments analyzing and comparing the robustness of federated models according to i) three families of spectrum sensors, ii) eight SSDF attacks, iii) four scenarios dealing with unsupervised (anomaly detection) and supervised (binary classification) federated models, iv) up to 33% of malicious participants implementing data and model poisoning attacks, and v) four aggregation functions acting as anti-adversarial mechanisms to increase the models robustness.

Early Real-World Performance of the MiniMed™ 780G Advanced Hybrid Closed-Loop System and Recommended Settings Use in the United States.

Background: The MiniMed™ 780G system (MM780G) with Guardian™ 4 sensor includes a 100 mg/dL glucose target (GT) and automated insulin corrections up to every 5 min and was recently approved for use in the United States. In the present study, early real-world MM780G performance and the use of recommended system settings (100 mg/dL GT with an active insulin time of 2 h), by individuals with type 1 diabetes, were evaluated. Methods: CareLink™ personal data uploaded between the launch of the MM780G to August 22, 2023 were aggregated and underwent retrospective analysis (based on user consent) and if users had ≥10 days of continuous glucose monitoring (CGM) data. The 24-h day CGM metrics, including mean glucose, percentage of time spent in (%TIR), above (%TAR), and below (%TBR) target range (70-180 mg/dL), in addition to delivered insulin and closed-loop (CL) exits, were compared between an overall group (n = 7499) and individuals who used recommended settings (each, for >95% of the time). An analysis of the same metrics for MiniMed™ 770G system (MM770G) users (n = 3851) who upgraded to the MM780G was also conducted (paired t-test or Wilcoxon signed-rank test, P < 0.05 considered statistically significant). Results: For MM780G users, CGM use, and time in CL were >90% and all MM780G CGM metrics exceeded consensus-recommended goals. With recommended settings (22% of all users), mean %TIR and %TITR (70-140 mg/dL) were 81.4% and 56.4%, respectively. For individuals who upgraded from the MM770G, %TIR and %TITR increased from 73.2% to 78.3% and 45.8% to 52.6%, respectively, while %TAR reduced from 25.1% to 20.2% (P < 0.001, for all three). CL exits/week averaged <1, for all MM780G users. Conclusions: Early real-world MM780G use in the United States demonstrated a high percentage of time in range with low time above and below range. These outcomes are similar to those observed for real-world MM780G use in other countries.

Mobile Handoff with 6LoWPAN Neighbour Discovery Auxiliary Communication

The importance of the topic under investigation stems from the burgeoning prominence of the Internet of Things (IoT) paradigm and the consequent imperative to devise and institute an efficacious methodology for neighbour detection that facilitates supplementary connections to mobile nodes. This research primarily aims to elucidate a mobile handover technique aligning with the neighbour discovery paradigm inherent in 6LoWPAN. The methodological framework employed herein amalgamates a systematic analysis of the foundational tenets governing 6LoWPAN communication standards over the IPv6 protocol in the context of IEEE 802.15.4aa personal wireless networks, supplemented with empirical evaluation of message propagation dynamics among discrete nodes of a designated personal wireless network. The findings of this investigation underscore the pre-eminence of the 6LoWPAN networking standard as a prime vehicle for bolstering the dependable communication of IoT&amp;#39;s remote entities, contingent upon the utilization of the IPv6 communication protocol. This iteration of the Internet protocol is superior, particularly in surveillance contexts, given its expansive address capacity (128 bits) juxtaposed against its antecedent, the IPv4 protocol (32 bits). The inherent adaptability of this network connection augments the quality of mobile handover, especially when one considers the real-world application of 6LoWPAN&amp;#39;s neighbour discovery auxiliary communication standard. The tangible implications of these findings beckon their potential utility in satiating the demands of IoT system users and actualizing the network collaboration ethos intrinsic to the 6LoWPAN communication standard.&amp;nbsp;

Health Information Technology 기반 국내외 의료용 마약류 모니터링 시스템 비교 분석

This study was conducted to propose ways to improve the domestic system based on a comparative analysis of domestic and foreign Health Information Technology (HIT) system using cases to prevent misuse and abuse of controlled substances. Korea, the United States, and Australia were selected as the countries to be investigated as representative examples of nationwide use of HIT. Literature data was collected from the official website of the system operating organization and major literature databases and search engines such as Pubmed and Google Scholar using the name of each country's HIT system as a keyword. We focused on analyzing the purpose of system operation, target drugs, information collection method, system operation method, and compensation to system users. Korea’s Narcotics Information Management System (NIMS) is the only system that can track the serial numbers of controlled substances in connection with prescription and dispensing records, and is designed and operated with a focus on regulatory purposes to improve legal compliance. NIMS had a relatively long reporting cycle, so there were limitations in checking the latest controlled substances prescription and dispensing records. It was also the only system in which pharmacists did not have the authority and role to check and monitor prescription records. In order to effectively prevent misuse and abuse of controlled substances, the reporting cycle must be shortened by switching to a real-time monitoring system including nonreimbursement medications. In addition, there is a need to guarantee pharmacists the authority to request prescription records before dispensing and the roles that accompany this.