bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-domain Load Balancing Communication Mechanism Based on the Auction Game Theory
Authors: shang fengjun , Mao Lin 
Published: June 2024

Abstract

This paper studied the cross-domain load balancing communication mechanism based on the game model. Firstly, the problem of routing between SDN/IP heterogeneous network inter-domain communication is analyzed. The SDN/IP cross-domain hybird network communication model is proposed. The network abstraction idea is introduced. The OpenFlow controller can be supported by the three-layer routing module and edge nodes. IP routing protocol to synchronize network reachable information between hybrid networks. In the Layer 3 routing module, the routing engine sub-module parses and responds to routing messages, and abstracts the OpenFlow network as a standard "Router". At the same time, three sub-modules of edge management, routing processing, and routing engine management are designed on the controller side. Forward control of inter-domain datagrams of SDN internal networks and management of routing engine sub-modules. Then, a feedback mechanism is added at the edge node location to actively detect and report the edge location state information to expand SDN impact. Secondly, for the problem of elephant stream forwarding in SDN/IP cross-domain network, a multi-path load balancing communication mechanism oriented to cross-domain is designed. The mechanism monitors the elephant flow in the network through the traffic monitoring module in real time, and proposes a multi-path dynamic load balancing algorithm to achieve network load balancing. Firstly, according to the real-time QoS index of the link, multiple minimum cost paths are calculated, and the idea of stream splitting is introduced. Multiple paths are used to bear an elephant stream, which reduces the burden of a single path and improves the utilization of network resources. Then the game model based auction model is introduced to calculate the offload strategy to optimize the maximum link utilization of the network. The simulation results show that the algorithm can effectively balance network traffic, meet the QoS requirements of the service, and increase the network resource utilization rate to 83%.
Optimizing Treatment Facility Locations in Oklahoma Using Haversine, Euclidean, Manhattan, and Chebyshev Distance Optimization
Authors: Roberts-Licklider Karen , Trafalis Theodore 
Published: June 2024

Abstract

In this study we are optimizing the treatment facility locations in the eight regions of Oklahoma. Drug court data was used for each county in Oklahoma to optimize the placement of treatment facilities. The objectives of this model were to optimally place treatment facilities minimizing cost, total haversine distance and maximizing the total number of facilities located in each region, while not exceeding the number of facilities allowed to be located according to the maximum covering location problem. An integer multi-criteria nonlinear programming model was utilized with several models comparing the results with and without fairness constraints, using fairness measures such as Hoover index and Gini coefficient at various thresholds. Gurobi was the solver used to solve each model. The Euclidean, Haversine, Manhattan, and Chebyshev distance metrics were all used and compared to see which metric performs the best when coupled with Hoover and Gini index fairness measures.
Development of an Advanced Analytical Technique for Detecting Multiple Pesticide Residues in Vegetables Through Liquid Chromatography Tandem Mass Spectroscopy (LC-MS/MS)
Authors: Majumder Sujan , Kumar Arvind , Debnath Sadhan , . Abhinay , Singh A. N. , Behera T. K. 
Published: June 2024

Abstract

A comprehensive LC-MS/MS method, which employs Positive Electrospray Ionization (PEI) and Multiple Reaction Monitoring (MRM) was developed for simultaneous determination of 35 pesticides belonging to various chemical classes in tomato, brinjal, chilli, and okra samples. Extraction was facilitated using a modified QuEChERS method, which allows efficient sample analysis in a single run. Calibration curves for each pesticide exhibited linearity within the concentration range of 0.0025 to 0.1 µg mL− 1, with correlation coefficients ranging from 0.993 to 0.999. Mean recoveries at five fortification levels (0.01 to 0.5 µg/g) ranged from 80–90%, demonstrating satisfactory precision (RSD < 20%). The matrix effects, mitigated through an optimized cleanup process, were observed within the range of 6.42–19.52%. The developed method having the limit of quantification of 0.01 mg kg− 1 for all 35 pesticides, proved to be highly sensitive and rapid for multi-residue estimation in diverse vegetable samples. Subsequently the method was used to analyze the market samples from Varanasi, India, which revealed the presence of pesticides like Chlorpyrifos, Chlorantraniliprole and Indoxacarb in tomato, brinjal, chilli and okra. Therefore, the method could be considered as a robust tool for monitoring pesticide residues in vegetables, aiding in quality assessment and regulatory compliance in the agriculture sector.
Chattering-free Adaptive Iterative Learning Control for Linear-Motor-Driven Gantry Stage With Initial State Errors
Authors: Yu Chaohai , Ma Jie , Wang Jue , Pan Huihui 
Published: June 2024

Abstract

This paper aims to investigate a chattering-free adaptive iterative learning strategy for trajectory tracking tasks on linear-motor-driven-gantry-stages with initial state errors. The reduction mechanism of the proposed parameter learning law effectively addresses initial state tracking errors, unmodeled system dynamics, and external disturbances during the iterative process. Furthermore, to mitigate the oscillation issues caused by traditional iterative learning control signals, this paper adopts the approximation for the sign function. However, this approximation introduces the non-negative definite problems. Therefore, this paper introduces a novel analysis method based on contraction mapping and composite energy functions in the Lyapunov-like theory. This method rigorously proves the boundedness and convergence during the entire iteration under non-negative definite problems with initial state errors. The effectiveness of the proposed approach is validated through experiments on a linear motor platform.
The risk factors for ocular biological parameters in Chinese preschool children: a Beijing eye study
Authors: Qin Xi , Wang Shana , Xie Xiaolan , Sun Yunyun , Gao Lei , Li Huijian , Fu Jing , Zhu Bidan 
Published: June 2024

Abstract

Background
To investigate the genetic and environmental factors associated with axial length (AL), the corneal radius of curvature (CR) and the axial length to corneal radius of curvature (AL/CR) ratio among 3- to 6-year-old children in Beijing, China.
Methods
This cohort study of kindergarten children in Tongzhou District, Beijing, started in November 2021 and was conducted over three months. A total of 1403 children aged 3–6 years from 9 kindergartens were randomly selected for ocular biological parameter measurements and cycloplegia refraction. Ocular biological parameters, including axial length (AL) and the corneal radius of curvature (CR), were collected before cycloplegia. The spherical equivalent (SE) and AL-to-CR ratio (AL/CR) were calculated. The questionnaire of each child's parental myopia and environmental influence was completed by the children’s parents.
Results
A total of 1403 participants (733 males, 52.25%) aged 3–6 years (mean 4.36 ± 0.82 years) were included. According to the one-way analysis of variance, longer ALs were associated with male sex, older age, myopic diopter and parental myopia. A greater CR was associated with male sex and more outdoor time. A greater AL/CR ratio was significantly associated with male sex, older age, myopic refractive strength and parental myopia. Multiple regression analysis revealed that a longer AL and a greater AL/CR ratio were significantly associated with male sex, older age, diopter with myopia and parental myopia. CR values were greater in males. In addition, when the time spent outdoors increased, the CR value increased, and the AL/CR ratio decreased.
Conclusion
Ocular biological parameters are influenced by genetic and environmental factors. A longer AL was associated with older age, male sex and parental myopia among children aged 3–6 years in Beijing, China. Parental myopia and male sex are associated with a greater risk of a higher AL/CR ratio in preschool-aged children. When the time spent outdoors increases, the CR increases, and the AL/CR decreases.
Translating Risk Narratives in Socio-technical Systems into Infrastructure Utilization Metrics during Compounding Hazard Events
Authors: Kays H M Imran , Momin Khondhaker Al , Muraleetharan K. K. Muralee , Sadri Arif Mohaimin 
Published: June 2024

Abstract

Risk communication in times of disasters is complex, involving rapid and diverse communication in social networks (i.e., public and/or private agencies; residents) as well as limited mobilization capacity and operational constraints of physical infrastructure networks. Despite a growing literature on infrastructure interdependencies and co-dependent social-physical systems, an in-depth understanding of how risk communication in online social networks weighs into physical infrastructure networks during major disasters remains limited, let alone in compounding risk events. This study analyzes large-scale datasets of crisis mobility and activity-related social interactions and concerns available through social media (Twitter) for communities impacted by an ice storm in October 2020 in Oklahoma. Compounded by the COVID-19 pandemic, this aberrant ice storm caused significant traffic disruptions (among others) due to excessive ice accumulation. By using Twitter’s academic Application Programming Interface (API) that provides complete and unbiased data, geotagged tweets (~25.7K) were collected covering the entire state of Oklahoma. First, the study employes natural language processing techniques, such as topic modeling and Bidirectional Encoder Representations from Transformers (BERT) model to classify crisis narratives (e.g., tweets), and text quantification techniques to analyze them. Next, the geotagged quantified tweets are transformed into a weighting factor for the transportation infrastructure network by employing spatial analysis. Finally, using network analysis, this study develops an infrastructure risk map that integrates the co-located road network. The findings reveal that quantifying online social media content and communication patterns can highlight significant disruptions in critical infrastructure during compounding disaster events. By mapping the risks associated with road networks, the study provides emergency management agencies with valuable situational awareness, facilitating more efficient resource allocation and prioritization aimed at enhancing disaster response efforts.
BDR-Net: Digital Recognition Network for Billet Surface Based on Flow Alignment and Attention Mechanism
Authors: Xu Jinyu , Liu Yipeng , Liu Zhitai 
Published: June 2024

Abstract

The surface characteristics of billets are crucial for subsequent traceability, yet the production process generates intricate digital features on their surfaces. This paper introduces BDR-Net, a novel billet surface digit recognition network. Drawing inspiration from Inception, the network adopts a ResNext-like architecture as its primary framework. It uniformly distributes output in dimension, extracts positional and scale features separately, and introduces a mixed dilated convolution block to reduce parameters while expanding the sensory field. To address the challenge of lost up-sampled features during fusion, an innovative stream alignment-based up-sampled feature fusion algorithm is proposed. Additionally, to enhance the network's focus on extracting salient spatial and channel features, a mixed-dimensional attention mechanism (scSE) is integrated into the alignment-based upsampling feature fusion module. Experimental results showcase BDR-Net's outstanding performance, achieving an impressive 95.6\% accuracy in digitally classifying billet surfaces, surpassing the ResNext50\_32x4d benchmark model by 4.3\% in recognition accuracy. Moreover, compared to current classification networks, this model exhibits significant accuracy improvements. Furthermore, the mAP@0.95 metric reaches 0.897, surpassing current classification networks. These findings underscore the remarkable performance of the model in billet surface digit recognition, offering an effective solution for digit recognition on billet surfaces in steel mills.
Real-World Effectiveness of Nirmatrelvir in Protecting Long COVID for Outpatient Adult Patients – A Large-Scale Observational Cohort Study from the RECOVER Initiative
Authors: Wang Fei , Zang Chengxi , Li Haoyang , Khullar Dhru , Zhang Yongkang , Strobel Stephenson , Chen Yong , Sala Marc , Patel Payal , Comellas Alejandro , Wylam Andrew , Weiner Mark , Forrest Christopher , Carton Thomas , Kaushal Rainu 
Published: June 2024

Abstract

Paxlovid has been approved for use in patients who are at high risk for severe acute COVID-19 illness. Evidence regarding whether Paxlovid protects against Post-Acute Sequelae of SARS-CoV-2 infection (PASC), or Long COVID, is mixed in high-risk patients and lacking in low-risk patients. With a target trial emulation framework, we evaluated the association of Paxlovid treatment within 5 days of SARS-CoV-2 infection with incident Long COVID and hospitalization or death from any cause in the post-acute period (30–180 days after infection) using electronic health records from the Patient-Centered Clinical Research Networks (PCORnet) RECOVER repository. The study population included 497,499 SARS-CoV-2 positive patients between March 1, 2022, to February 1, 2023, and among which 165,256 were treated with Paxlovid within 5 days since infection and 307,922 were not treated with Paxlovid or other COVID-19 treatments. Compared with the non-treated group, Paxlovid treatment was associated with reduced risk of Long COVID with a Hazard Ratio (HR) of 0.88 (95% CI, 0.87 to 0.89) and absolute risk reduction of 2.99 events per 100 persons (95% CI, 2.65 to 3.32). Paxlovid treatment was associated with reduced risk of all-cause death (HR, 0.53, 95% CI 0.46 to 0.60; risk reduction 0.23 events per 100 persons, 95% CI 0.19 to 0.28) and hospitalization (HR, 0.70, 95% CI 0.68 to 0.73; risk reduction 2.37 events per 100 persons, 95% CI 2.19 to 2.56) in the post-acute phase. For those without documented risk factors, the associations (HR, 1.03, 95% CI 0.95 to 1.11; risk increase 0.80 events per 100 persons, 95% CI -0.84 to 2.45) were inconclusive. Overall, high-risk, nonhospitalized adult patients with COVID-19 who were treated with Paxlovid within 5 days of SARS-CoV-2 infection had a lower risk of Long COVID and all-cause hospitalization or death in the post-acute period. However, Long COVID risk reduction with Paxlovid was not observed in low-risk patients.
Open Packing in Interval Graphs
Authors: Shalu M A , Kirubakaran V K 
Published: June 2024

Abstract

Total Domination and Open Packing forms a primal-dual pair of problems. A vertex subset S of a graph G is called an open packing in G if no pair of distinct vertices in S have a common neighbour in G. The cardinality of a maximum open packing in G is called the open packing number, ρᵒ(G), of G which is a lower bound for the total domination number of G. Given a graph G and a positive integer k, the problem OPEN PACKING tests whether G has an open packing of size at least k. It is known that OPEN PACKING is NP-complete for split graphs (and so for chordal graphs) [Ramos et al., 2014]. In this work, we use a dynamic programming based approach to show that a maximum open packing in interval graphs (a subclass of chordal graphs) can be found in O(n³) time.
Revealing molecular determinants governing mambalgin-3 pharmacology at acid-sensing ion channel 1 variants
Authors: Cristofori-Armstrong Ben , Budusan Elena , Smith Jennifer J. , Reynaud Steve , Voll Kerstin , Chassagnon Irène R. , Durek Thomas , Rash Lachlan Douglas 
Published: June 2024

Abstract

Acid-sensing ion channels (ASICs) are trimeric proton-gated cation channels that play a role in neurotransmission and pain sensation. The snake venom-derived peptides, mambalgins, exhibit potent analgesic effects in rodents by inhibiting central ASIC1a and peripheral ASIC1b. Despite their distinct species- and subtype-dependent pharmacology, previous structure-function studies have focussed on the mambalgin interaction with ASIC1a. Currently, the specific channel residues responsible for this pharmacological profile, and the mambalgin pharmacophore at ASIC1b remain unknown. Here we identify non-conserved residues at the ASIC1 subunit interface that drive differences in the mambalgin pharmacology from rat ASIC1a to ASIC1b, some of which likely do not make peptide binding interactions. Additionally, variation below the core binding site explains potency differences between rat and human ASIC1. Two regions within the palm domain, which contribute to subtype-dependent effects for mambalgins, play key roles in ASIC gating, consistent with subtype-specific differences in mechanism. Lastly, there is a shared primary mambalgin pharmacophore for ASIC1a and ASIC1b activity, with certain peripheral peptide residues showing variant-specific significance for potency. Through our broad mutagenesis studies across various species and subtype variants, we gain a more comprehensive understanding of the pharmacophore and the intricate molecular interactions that underlie ligand specificity. These insights pave the way for the development of more potent and targeted peptide analogues required to advance our understating of human ASIC1 function and its role in disease.
Endogenous LXR signaling controls pulmonary surfactant homeostasis and prevents lung inflammation
Authors: Hernández-Hernandez Irene , Rosa Juan Vladimir De La , Martín-Rodríguez Patricia , Díaz-Sarmiento Mercedes , Recio Carlota Pilar , Guerra Carlos Borja , Fernández-Pérez Leandro Francisco , León Theresa E. , Torres Rosa , Font-Díaz Joan , Roig Angela , de Mora Fernando , Boscá Lisardo , Díaz Mario , Valledor Annabel F. , Castrillo Antonio , Tabraue Carlos 
Published: June 2024

Abstract

Lung type 2 pneumocytes (T2Ps) and alveolar macrophages (AMs) play crucial roles in the synthesis, recycling and catabolism of surfactant material, a lipid/protein fluid essential for respiratory function. The liver X receptors (LXR), LXRα and LXRβ, are transcription factors important for lipid metabolism and inflammation. While LXR activation exerts anti-inflammatory actions in lung injury caused by lipopolysaccharide (LPS) and other inflammatory stimuli, the full extent of the endogenous LXR transcriptional activity in pulmonary homeostasis is incompletely understood. Here, using mice lacking LXRα and LXRβ as experimental models, we describe how the loss of LXRs causes pulmonary lipidosis, pulmonary congestion, fibrosis and chronic inflammation due to defective de novo synthesis and recycling of surfactant material by T2Ps and defective phagocytosis and degradation of excess surfactant by AMs. LXR-deficient T2Ps display aberrant lamellar bodies and decreased expression of genes encoding for surfactant proteins and enzymes involved in cholesterol, fatty acids, and phospholipid metabolism. Moreover, LXR-deficient lungs accumulate foamy AMs with aberrant expression of cholesterol and phospholipid metabolism genes. Using a house dust mite aeroallergen-induced mouse model of asthma, we show that LXR-deficient mice exhibit a more pronounced airway reactivity to a methacholine challenge and greater pulmonary infiltration, indicating an altered physiology of LXR-deficient lungs. Moreover, pretreatment with LXR agonists ameliorated the airway reactivity in WT mice sensitized to house dust mite extracts, confirming that LXR plays an important role in lung physiology and suggesting that agonist pharmacology could be used to treat inflammatory lung diseases.
Design of cost-effective Automatic Infant Radiant Warmer by using manually operated warmers mini project
Authors: Kassaw Ewunate Assaye 
Published: June 2024

Abstract

Temperature control in neonatology is one of the main concerns in any hospital or health service provider. A newly born infant's body temperature is different from the external world since they come from a regulated temperature area in the mother’s womb. Accurate temperature assessment enables early intervention or treatments of infection or disorder of a thermoregulatory system. An infant incubator, radiant warmer and embrace warmer are being used for the thermoregulation of neonates. In Gondar university specialized hospital there are limited number of infant incubators and automatic radiant warmers since they are very costy to own. On contrary there are a many number of manual radiant warmers with the drawback of always being on state of on or off, they didn’t have any mechanism to regulate the environment temperature. Optimizing the currently existing radiant warmer is a cost-effective way to feel the gaps of the currently available devices. An electronic system design and simulation which automatically measures the temperature of the environment and act accordingly is done using proteus and Arduino IDE together. By designing the circuit using proteus, by writing the instruction (algorithm) using arduino IDE then by loading the Arduino algorithm in to the Arduino UNO component in the proteus the simulation of the project was done successfully. The result of the simulation showed that the electronic system designed was successfully controlled the environmental temperature with the temperature input via the LM35. While simulating the controlling action was visible and exactly as needed.
Ovarian transcriptome profile from egg-laying period to incubation period of Changshun green-shell laying hens
Authors: Chen Zhi , Wen Di , Mu Ren 
Published: June 2024

Abstract

Background: Changshun green-shell laying hen with strong broodiness is a Chinese indigenous chicken breed. Little is known about the mechanisms responsible for ovary development of Changshun green-shell laying hens from egg-laying period (LP) to incubation period (BP). Here, RNA sequencing (RNA-seq) of ovaries from Changshun hens in LP and BP was performed to identify candidate genes and pathways associated with broodiness.
Results: We identified 1650 differently expressed genes (DEGs), including 429 up-regulated and 1221 down-regulated DEGs, in chicken ovaries between LP and BP groups. GO and KEGG analysis further revealed that these DEGs were mainly involved in the pathways related to follicle development in chicken ovaries, including focal adhesion, MAPK signaling pathway, and FoxO signaling pathway, and vascular smooth muscle contraction, ECM-receptor interaction, and GnRH signaling pathway were down-regulated in incubating ovaries. Eight candidate genes (EGFR, VEGFRKDRL, FLT1, KDR, PDGFRA, TEK, KIT and FGFR3) related to angiogenesis, folliculogenesis, steroidogenesis and oogenesis in ovaries were suggested to play important roles in the ovarian development of Changshun hens during the transition from LP to BP.
Conclusions: We discovered critical genes and pathways which is closely associated with ovary development in incubating chickens, indicating the complexity of reproductive behaviour of different chicken breeds.