Network Programming Research Articles

Growing, learning, sharing, and healing through Home Garden Network: A social capital framework

AbstractObjectiveThe study addresses two research inquiries: evaluating the effectiveness of the Home Garden Network (HGN) program in attaining its four intended outcomes (learning, growing, sharing, and healing) as well as exploring the social capital mechanisms in facilitating the four outcomes.BackgroundDrawing from Coleman's social capital theory, the HGN program was developed in response to common issues many families experience: the lack of family leisure time, dietary‐related health issues, and food insecurity.MethodsIndividual interviews were conducted with eight program participants.ResultsThe findings revealed that the program produced the four intended outcomes in which the three forms of social capital (i.e., information channels, reciprocity, and social norms) served as mechanisms that explained the outcomes. Through information channels, participants learned from their network members as well as the program facilitators. Reciprocity is fostered through a system where families take turns assisting each other in growing their gardens, establishing a sense of mutual obligation. Social norms encourage the sharing of produce and plants, reinforcing a collective culture of generosity. Reciprocal relationships further strengthened their interpersonal bonding experiences, providing participants with a sense of group identity and belonging, and hence healing. In addition, families utilize their gardens as a communication starter, establishing social norms of routines and responsibilities that promote family cohesion.ConclusionThe study validates the HGN program in achieving its learning, growing, sharing, and healing objectives.ImplicationsThe program offers implementation opportunities for human services organizations and land‐grant universities, aligning with social policies promoting food security and healthy lifestyles.

Transforming transportation: Embracing the potential of 5G, heterogeneous networks, and software defined networking in intelligent transportation systems

<p>Intelligent transportation systems (ITS) emphasise the significance of vehicle networks. The growing need for services that are safer, more effective, more affordable, infotainment-focused, and sustainable, however, presents difficulties for these networks. To create innovative applications, researchers and businesses are working. Through effectively coordinating vehicle operations, ITS promotes safe driving, efficient traffic flow, and effective route planning. Referring to automobile heterogeneous, autonomous, flexible, and programmable networks is important given the requirement for convergence of technology in communications. For research and network development, new emerging technologies present intriguing gaps. In this paper, we provide an analysis of wireless technology and potential obstacles to delivering vehicle-to-x communication; including linked cars or autonomous vehicles, which that the initial robot to directly impact the everyday Millions of lived individuals. Study investigates the conceptual change in transportation made possible by the incorporation of modern technology into Intelligent Transportation Systems (ITS), including 5G, heterogeneous networks (HN), and Software Defined Networking (SDN). The incorporation of 5G ensures unparalleled velocity and minimal latency, allowing instantaneous communication between automobiles and infrastructure. Vehicles are easily switched between several network technologies due to heterogeneous networks’ seamless communication structure. Technology developments generated an important increase in the worldwide ITS market from 2018 to 2025. During the same time, the global market for SDN increased significantly, indicating a rising to need for programmable and dynamic network infrastructures. The simultaneous growth patterns in the SDN and ITS industries between 2018 and 2025 indicate to a general shift in the sector toward more intelligence and connectivity. It is predicted that this development continues for future. We pay particular attention to the SDN used in the 5G architecture and how it affects HN.</p>

Improving Software Defined Network controllers in a multi-vendor environment

Software Defined Networking (SDN) is an emerging networking paradigm with the potential to foster innovation through programmable networks. SDNs are characterized by the separation of control and data planes where, in a logically centralized controller, it's possible to make routing decisions on behalf of forwarding elements. For this, there are different protocols proposed and used like Open Flow, Forward and Control Element Separation (FORCES), Path Computation Element Protocol (PCEP), Network Configuration Protocol (NETCONF), and Interface to Routing System (IRS), among others. Border Gateway Protocol (BGP) is one such protocol that enables the network programmability promised by SDNs. The controllers used in BGP as control plane protocols leverage RESTCONF (RFC 8040) as management plane protocol to interact with physical routers, switches, and network service firewalls. Therefore, the aim of this work is to improve the performance of SDN controllers using BGP enabling a multi-vendor environment without requiring infrastructure upgrade showcasing how interoperability can be achieved. The proposed system is implemented using OpenDaylight controllers. The performance of the prototype is evaluated using Latency, Throughput, CPU consumption, and TTL (Time to Live). Based on the simulation results it is observed that the SDN controllers that use BGP show average throughput of 49.6 Gbps, maximum latency of 7 μs, and average CPU consumption 89% and maximum TTL value of 600 msec. The overall performance of the proposed system shows better results when compared with previous works.

Geometric Programming for Nonlinear Satellite Buffer Networks With Time Delays under L1-Gain Performance

Geometric Programming for Nonlinear Satellite Buffer Networks With Time Delays under L1-Gain Performance

Remote Patient Monitoring (RPM) Technology with Centralized Virtual Nurse Monitoring for Safe Delivery of Outpatient Chimeric Antigen Receptor T-Cell (CAR-T) Therapy across Multiple Sarah Cannon Transplant and Cellular Therapy Network Programs

Remote Patient Monitoring (RPM) Technology with Centralized Virtual Nurse Monitoring for Safe Delivery of Outpatient Chimeric Antigen Receptor T-Cell (CAR-T) Therapy across Multiple Sarah Cannon Transplant and Cellular Therapy Network Programs

Enhancing Programmability in Next-Generation Networks: An Innovative Simulation Approach

Enhancing Programmability in Next-Generation Networks: An Innovative Simulation Approach

5G NETWORK MODEL DEVELOPMENT IN ANYLOGIC ENVIRONMENT

This article describes the analysis of programs for modeling 5G networks. In the selected AnyLogic program, a 5G network model with several base stations that have different characteristics was created. Studies of this model have been made taking into account various disciplines of the queue, the load on each station has been calculated at different priorities. It is proved that this model can be used to study and evaluate the of data transmission efficiency in 5G networks, as well as to analyze the impact of the characteristics of additional parameters (latency, load and priorities) on the quality of data processing. The studies confirmed that the developed 5G network model can help telecom operators optimize performance of their networks and ensure more efficient use of allocated resources.

Post-mortem investigation of deaths due to pneumonia in children aged 1–59 months in sub-Saharan Africa and South Asia from 2016 to 2022: an observational study

The Child Health and Mortality Prevention Surveillance (CHAMPS) Network programme undertakes post-mortem minimally invasive tissue sampling (MITS), together with collection of ante-mortem clinical information, to investigate causes of childhood deaths across multiple countries. We aimed to evaluate the overall contribution of pneumonia in the causal pathway to death and the causative pathogens of fatal pneumonia in children aged 1-59 months enrolled in the CHAMPS Network. In this observational study we analysed deaths occurring between Dec 16, 2016, and Dec 31, 2022, in the CHAMPS Network across six countries in sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa) and one in South Asia (Bangladesh). A standardised approach of MITS was undertaken on decedents within 24-72 h of death. Diagnostic tests included blood culture, multi-organism targeted nucleic acid amplifications tests (NAATs) of blood and lung tissue, and histopathology examination of various organ tissue samples. An interdisciplinary expert panel at each site reviewed case data to attribute the cause of death and pathogenesis thereof on the basis of WHO-recommended reporting standards. Pneumonia was attributed in the causal pathway of death in 455 (40·6%) of 1120 decedents, with a median age at death of 9 (IQR 4-19) months. Causative pathogens were identified in 377 (82·9%) of 455 pneumonia deaths, and multiple pathogens were implicated in 218 (57·8%) of 377 deaths. 306 (67·3%) of 455 deaths occurred in the community or within 72 h of hospital admission (presumed to be community-acquired pneumonia), with the leading bacterial pathogens being Streptococcus pneumoniae (108 [35·3%]), Klebsiella pneumoniae (78 [25·5%]), and non-typeable Haemophilus influenzae (37 [12·1%]). 149 (32·7%) deaths occurred 72 h or more after hospital admission (presumed to be hospital-acquired pneumonia), with the most common pathogens being K pneumoniae (64 [43·0%]), Acinetobacter baumannii (19 [12·8%]), S pneumoniae (15 [10·1%]), and Pseudomonas aeruginosa (15 [10·1%]). Overall, viruses were implicated in 145 (31·9%) of 455 pneumonia-related deaths, including 54 (11·9%) of 455 attributed to cytomegalovirus and 29 (6·4%) of 455 attributed to respiratory syncytial virus. Pneumonia contributed to 40·6% of all childhood deaths in this analysis. The use of post-mortem MITS enabled biological ascertainment of the cause of death in the majority (82·9%) of childhood deaths attributed to pneumonia, with more than one pathogen being commonly implicated in the same case. The prominent role of K pneumoniae, non-typable H influenzae, and S pneumoniae highlight the need to review empirical management guidelines for management of very severe pneumonia in low-income and middle-income settings, and the need for research into new or improved vaccines against these pathogens. Bill & Melinda Gates Foundation.

Patient factors and survival outcomes of pancreatic signet cell carcinoma: A comprehensive review and analysis.

608 Background: Pancreatic signet cell carcinoma is an aggressive, rare subtype of pancreatic adenocarcinoma that constitutes less than 1% of all pancreatic cancers. This subtype can manifest as solitary cells or a cluster within the background of pancreatitis, often leading to an incorrect diagnosis during biopsies. The rarity and challenges associated with its diagnosis significantly impact its poor prognosis. With an average age of diagnosis of 67.3 years and a median life expectancy of 12.6 months, there exists a lack of information on the disparities that exist in these patients and how patient demographics contribute to differences in survival outcomes. Methods: We used the National Cancer Database to identify patients diagnosed with pancreatic signet ring cell carcinoma (ICD-O-3 histology code 8490) between 2004-2019 (N=1746). Survival was evaluated using Kaplan-Meier curves and log-rank tests. Significance was set at p<0.05. Results: When analyzing insurance status, patients with private insurance had a statistically improved survival outcome (14.3 months) compared to those with Medicare (11.3 months), Medicaid (9.2 months) and without insurance (11.8 months) (p<0.05). Patients with private insurance had fewer positive regional lymph nodes (73), lower grade/differentiation (5.80) and an average tumor size of 444.40 millimeters. Patients treated at academic research programs had a statistically better survival outcome (15.1 months) compared to patients treated at comprehensive community (10.4 months) and integrated network (9.1 months) programs (p<0.001). Surgical treatment had statistically improved survival outcomes compared to non-surgical treatment (p<0.001) with the majority of these procedures being a partial pancreatectomy and duodenectomy with a partial gastrectomy. More patients received surgical intervention at academic research programs (p<0.001), and patients with private insurance predominately attended academic research programs (p<0.001). Conclusions: Factors associated with increased survival outcomes include insurance status, positive regional lymph nodes, grade/differentiation, treatment facility type and surgical intervention. These findings make a valuable contribution to the ongoing research on disparities affecting survival in patients with pancreatic signet cell carcinoma.

Pricing And Replenishment Strategies for Vegetable Products Based on Planning Models

Reasonable pricing and replenishment strategies for vegetable products are crucial for maximizing profits for fresh food supermarkets. This article mainly studies the relationship between the sales volume and sales unit price of vegetable products and time, establishes a pricing and replenishment decision model based on BP neural network and mathematical programming, and provides strategies to meet the requirements of maximizing the interests of supermarkets.

Knowledge, attitude, and practice of physicians towards familial hypercholesterolaemia in north regions of Saudi Arabia.

To assess knowledge, attitude and practice of physicians regarding familial hypercholesterolaemia. The cross-sectional study was conducted from October to December 2022 in Aljouf, Tabouk, Hail and northern border regions of Saudi Arabia after approval from the ethics review committee of Qurayyat Health Affairs. Those included were physicians specialising in familial hypercholesterolaemia and having experience in family medicine, endocrinology, paediatrics, cardiology, internal medicine and obstetrics and gynaecology. Their knowledge, attitude and practice were assessed using a predesigned questionnaire. Data were analysed using SPSS 20. Of the 430 subjects, 220(51.2%) were males, 89(20.7%) were aged 36-40 years, 169(39.3%) were residents, and 146(34%) had experience >15 years. Overall, 270(62.8%), 286(66.5%) and 287(66.7%) subjects did not know about the clinical diagnostic algorithms of Simon Broom, Dutch Lipid Clinic Network and United States MedPed programme investigated criteria, respectively. There were, 149(34.7%) subjects with high awareness level, and the level of awareness was significantly affected by gender, level of training, medical specialty, and familiarity with familial hypercholesteremia (p<0.05). There were 343(79.8%) subjects who said they had never diagnosed familial hypercholesterolaemia. There were knowledge gaps, low awareness, and inappropriate practices related to familial hypercholesterolemia, indicating the need for targetted programmes.

Establishing a School Nurse Mentoring Network.

Often, nurses new to the school setting find they have more questions than answers about school nursing practice but no mentor to ask. Questions often arise regarding medication administration, health records, health requirements to attend school, student illness, school health legislation, and state reporting requirements in the school setting, plus many more. This article outlines how one Regional Office of Education (ROE) in central Illinois partnered with a Certified School Nurse to establish a mentoring and networking program to foster relationships and information sharing among school nurses.

Freeform direct-write and rewritable photonic integrated circuits in phase-change thin films.

Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities promise revolutionary impacts on a plethora of photonic technologies. We report direct-write and rewritable photonic circuits on a low-loss phase-change material (PCM) thin film. Complete end-to-end PICs are directly laser-written in one step without additional fabrication processes, and any part of the circuit can be erased and rewritten, facilitating rapid design modification. We demonstrate the versatility of this technique for diverse applications, including an optical interconnect fabric for reconfigurable networking, a photonic crossbar array for optical computing, and a tunable optical filter for optical signal processing. By combining the programmability of the direct laser writing technique with PCM, our technique unlocks opportunities for programmable photonic networking, computing, and signal processing. Moreover, the rewritable photonic circuits enable rapid prototyping and testing in a convenient and cost-efficient manner, eliminate the need for nanofabrication facilities, and thus promote the proliferation of photonics research and education to a broader community.

Network programming - theory and application to manager building projects

The paper deals with network programming method and its application for solving multi-extreme and discrete optimization problems in Project Management. The purpose of the paper is to develop a new approach to solving optimization problems, called the network programming method and to solve a number of optimization problems of project management based on this method. This method is used to solve the problem of building a business-supporting project portfolio. The life cycle of a building project can be represented as a great number of interrelated and interacting actions leading to the achievement of the set goals in the presence of existing constraints (resources, time, cost, quality, reliability, safety, etc.). Such a representation is called a network representation. On the basis of the network programming method and its special case - the dichotomous programming method, new algorithms for solving a number of optimization problems in project management are proposed. The proposed method makes it possible to use it in solving the problems of managing the life cycle of a construction object. It can be used not only throughout the entire life cycle, but also independently during the planning, implementation and completion phases of project management.

Mixed Max-and-Min Fractional Programming for Wireless Networks

Mixed Max-and-Min Fractional Programming for Wireless Networks

Empowering Decentralized Governance and Grant Programs in Web3 Networks

Empowering Decentralized Governance and Grant Programs in Web3 Networks

HAC: Hierarchical Agglomerative Clustering With Linear Programming for Wireless Sensor Networks

HAC: Hierarchical Agglomerative Clustering With Linear Programming for Wireless Sensor Networks

Programmable Filterless Optical Networks: Architecture, Design, and Resource Allocation

Programmable Filterless Optical Networks: Architecture, Design, and Resource Allocation

Evaluating the Effectiveness of the ACT Model in Enhancing Students’ Coping Skills in Higher Education Counseling

Abstract The outbreak of a new coronavirus pneumonia epidemic in early 2020 has had a great impact on the mental health status of college students, especially elevating the prevalence of PTSD among students. Based on the cognitive theory of ACT, this study develops a mobile networked intervention program to enhance students’ psychological state and students’ coping ability under the intervention of the ACT model and realizes the function of ACT intervention in the form of networked self-help. Through Latent Gold analysis software, the potential profiles of multiple characteristics of the subjects were categorized in order to scientifically examine the effect of the ACT model on enhancing students’ coping abilities. The results indicated that the ACT intervention group was able to significantly alleviate students’ depression levels (d = 0.71), and enhance students’ positive mental health (d = 0.42), compared to the waiting group. The results verified the effectiveness of the ACT network intervention application, which can provide a reference for the networked reform of psychological counseling in colleges and universities.

The Global Network Advancement Group A Next Generation System for the LHC Program and Data Intensive Sciences

This paper presents the rapid progress, vision and outlook across multiple state of the art development lines within the Global Network Advancement Group (GNA-G) and its Data Intensive Sciences and SENSE/AutoGOLE working groups, which are designed to meet the present and future needs and address the challenges of the Large Hadron Collider and other science programs with global reach. Since it was founded in the Fall of 2019 and the working groups were formed in 2020, in partnership with ESnet, Internet2, CENIC, GEANT, ANA, RNP, StarLight, NRP, N-DISE, AmLight, and many other leading research and education networks and network R&amp;D projects, as well as Caltech, UCSD/SDSC, Fermilab, CERN, LBL, and many other leading universities and laboratories, the GNA-G working groups have deployed two virtual circuit and programmable testbeds spanning six continents which supports continuous developments aimed at the next generation of programmable networks interworking with the science programs’ computing and data management systems. The talk covers examples of recent progress in developing and deploying new methods and approaches in multidomain virtual circuits, flow steering, path selection, load balancing and congestion avoidance, segment routing and machine learning based traffic prediction and optimization.