bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on WSN Reliable Ranging and Positioning Algorithm for Forest Environment
Authors: Wu Peng , Yu Le , Yi Xiaomei , Xu Liang , Liu LiJuan , Yi YuTong , Jiang Tengteng , Tao Chunling 
Published: August 2023

Abstract
Wireless sensor network (WSN) location is a significant research area. In complex environments like forests, inaccurate signal intensity ranging is a major challenge. To address this issue, this paper presents a reliable WSN distance measurement-positioning algorithm for forest environments. The algorithm divides the positioning area into several sub-regions based on the discrete coefficient of the collected signal strength. Then, using the fitting method based on the signal intensity value of each sub-region, the algorithm derives the reference points of the logarithmic distance path loss model and path loss index. Finally, the algorithm locates target nodes using anchor nodes in different regions. Additionally, to enhance the positioning accuracy, weight values are assigned to the positioning result based on the discrete coefficient of the signal intensity in each sub-region. Experimental results demonstrate that the proposed WSN algorithm has high precision in forest environments.
Orthogonally and linearly polarized green emission from a semipolar InGaN based microcavity
Authors: Wei Ou , Yang Mei , Hao Long , Yukun Wang , Tao Yang , Leiying Ying , Zhongming Zheng , Baoping Zhang 
Published: August 2023

Abstract

Polarized light has promising applications in biological inspections, displays and precise measurements. Direct emission of polarized light from a semiconductor device is highly desired in order to reduce the size and energy-consumption of the whole system. Herein, we demonstrate a semipolar GaN-based microcavity light-emitting diode (MCLED) that could simultaneously produce green light with perpendicular and parallel polarizations to the c*-axis. Orthogonally polarized emission with a narrow linewidth (~ 0.2 nm) arises from the valence band splitting and birefringent nature of the semipolar GaN material, as well as the mode selection of the resonant cavity. By modulating the cavity length, the device is capable of switching between single- and multi-mode emission spectra. We believe that the approach of employing a cavity structure and semipolar GaN can be extended to produce orthogonally and linearly polarized blue, red and violet light by adjusting the material compositions.
Network pharmacology and molecular docking analysis on potential targets and mechanisms of the active monomer of Huayan Capsules in the treatment of osteosarcoma
Authors: Hao Yang , Zhang Feifan , Liu Man , Ma Yan , Luo Yage , Zhang Yongyong , Yang Ning , Luo Manli , Liu Hongjian , Li Jitian 
Published: August 2023

Abstract

Background
Osteosarcoma (OS) is the most common primary bone sarcoma. OS is most likely to occur in adolescents. Based on clinical experience, Huayan Capsules (HYCA) has adjuvant therapeutic effects in OS patients. Through network pharmacology, molecular docking and cell experiments, we sought to investigate the active components, targets and mechanism of HYCA in the treatment of OS.
Methods
The active components and targets of HYCA were found using the TCMSP and TCMID. GeneCards, TTD, and OMIM were used to find OS-related targets. The KEGG and GO enrichment were used to study PPI. Using Auto Dock Vina, the substance was molecularly docked with proteins related to OS. Finally, cell experiments were carried out to support the above conclusions.
Results
It was found HYCA had 1703 targets and 239 active molecules. Between OS and HYCA, there were 220 intersection targets. The PPI network revealed TP53, AKT1 were among the 25 primary targets of HYCA. GO enrichment revealed the genes were enriched in cellular reactions to hormones and other substances. KEGG enrichment revealed the genes were enriched in 196 pathways, mostly related to cancer, such as the PI3K–AKT and MAPK signaling pathways. According to molecular docking, quercetin, kaempferol, and beta-sitosterol have strong binding abilities with AKT1 and TP53. Cell experiments showed beta-sitosterol could inhibit the growth and wound healing formation of OS cells and promote apoptosis.
Conclusions
We predict the active compounds and potential targets of HYCA. Beta-sitosterol, one of the leading monomers of HYCA, can inhibit proliferation, migration of OS cells and induce apoptosis.
The effects of triage applying artificial intelligence on triage in the emergency department: A systematic review of prospective studies
Authors: Baek Gumhee , Baik Dain , Yi Nayeon 
Published: August 2023

Abstract

Background This study aimed to identify the effects of a prospective study applying artificial intelligence-based triage in the clinical field. Methods We conducted a systematic review of prospective studies. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) checklist was used to guide the systematic review and reporting. Three researchers independently extracted the data, assessed the study quality, and presented the findings in a descriptive summary. Inconsistencies between the researchers were resolved after discussion. We manually searched for relevant articles through databases, including CINAHL, Cochrane, Embase, PubMed, ProQuest, and two South Korean search engines (KISS and RISS) from March 9 to April 18, 2023. Results Of 1,633 articles, eight met the inclusion criteria for this review. Most studies applied machine learning to triage, and only one study was based on fuzzy logic. Except for one study, all used a 5-level triage classification system, and some developed target-level prediction models. Although the model performance exceeded 70%, the triage prediction accuracy varied from 33.9 to 99.9%. Other outcomes included time reduction, overtriage and undertriage checks, triage risk factors, and outcomes related to patient care and prognosis. Conclusions Triage nurses in the emergency department can use artificial intelligence as a supportive means for patient classification. Ultimately, we hope that it will be a resource that can reduce undertriage and positively affect patient health. Verification of the optimal artificial intelligence algorithm by conducting rigorous interdisciplinary research will be a powerful tool to support triage nurses' decision-making in overcrowded emergency departments. Thus, direct nursing activities will increase and become an important factor in improving the quality of nursing care. Trial registration: We have registered our review in PROSPERO (registration number: CRD***********).
Molecular Analyses of V0v Spinal Interneurons and Identification of Transcriptional Regulators Downstream of Evx1 and Evx2 in these Cells
Authors: England Samantha J. , Woodard Amber K. , Mujcic Amra , Kowalchuk Angelica , de Jager Sarah , Hilinski William C. , Juárez-Morales José L. , Smith Matthew E. , Grieb Ginny , Banerjee Santanu , Lewis Katharine E. 
Published: August 2023

Abstract

BackgroundV0v spinal interneurons are highly conserved, glutamatergic, commissural neurons that function in locomotor circuits. We have previously shown that Evx1 and Evx2 are required to specify the neurotransmitter phenotype of these cells. However, we still know very little about the gene regulatory networks that act downstream of these transcription factors in V0v cells.MethodsTo identify candidate members of V0v gene regulatory networks, we FAC-sorted WT andevx1;evx2double mutant zebrafish V0v spinal interneurons and expression-profiled them using microarrays and single cell RNA-seq. We also usedin situhybridization to compare expression of a subset of candidate genes inevx1;evx2double mutants and wild-type siblings.ResultsOur data reveal two molecularly distinct subtypes of V0v spinal interneurons at 48 h and suggest that, by this stage of development,evx1;evx2double mutant cells transfate into either inhibitory spinal interneurons, or motoneurons. Our results also identify 25 transcriptional regulator genes that require Evx1/2 for their expression in V0v interneurons, plus a further 11 transcriptional regulator genes that are repressed in V0v interneurons by Evx1/2. Two of the latter genes arehmx2andhmx3a. Intriguingly, we show that Hmx2/3a, repress dI2 interneuronal expression ofskor1aandnefma, two genes that require Evx1/2 for their expression in V0v interneurons. This suggests that Evx1/2 might regulateskor1aandnefmaexpression in V0v interneurons by repressing Hmx2/3a expression.ConclusionsThis study identifies two molecularly distinct subsets of V0v spinal interneurons, as well as multiple transcriptional regulators that are strong candidates for acting downstream of Evx1/2 to specify the essential functional characteristics of these cells. Our data further suggest that in the absence of both Evx1 and Evx2, V0v spinal interneurons initially change their neurotransmitter phenotypes from excitatory to inhibitory and then, later, start to express markers of distinct types of inhibitory spinal interneurons, or motoneurons. Taken together, our findings significantly increase our knowledge of V0v and spinal development and move us closer towards the essential goal of identifying the complete gene regulatory networks that specify this crucial cell type.
Multimodal Dialogue Response Generation Based on Selective Attention and Gating Mechanisms
Authors: Yu KeJian , Zhang Cheng , Ding Jie , Yue Yi , Wu YunZhi 
Published: August 2023

Abstract

Picture response is a crucial aspect in dialogue systems; however, existing systems predominantly focus on text information, often neglecting the use of image data or relying on large-scale language models, which leads to high training costs and slower generation speeds. To address these challenges, this paper introduces the MDSAGM (Selective Attention and Gating Mechanism)model, which comprises a Transformer-based Text Dialogue Response Generator, Text-to-Image Generation, and SAGM (Selective Attention and Gating Mechanism). The model is core lies in combining Selective Attention and Gating Mechanism to enhance generalization and improve model accuracy. The study further explores the contributions of image and text information in multimodal fusion. Compared to other large-scale training models, the proposed model demonstrates computational efficiency , fewer parameters, and shorter response times, making it more lightweight. This dialogue model facilitates the separation of multimodal dialogue parameters from the overall model, enabling better parameter fitting through pre-training with abundant plain text and text-image data. Extensive experiments show that the proposed method achieves promising results in both automatic and manual evaluations, generating information-rich text and image responses with higher accuracy while maintaining a lightweight structure.
The structure, optical and optoelectronic properties of Ga 1-x Dy x As QDs prepared using methylphenyldiamine-assisted hydrothermal approach for IR- laser photodiode applications
Authors: Gahtany S. 
Published: August 2023

Abstract

The development of novel nanomaterials from semiconducting III-V elements became of utmost concern owing to the ability to tune their bandgaps for future application in optoelectronics comprising QLEDs and photon-managed solar cells. Gallium arsenide is a promising direct bandgap semiconducting material with high electronic mobility, rendering it suitable for optoelectronic devices. Here, we offer a novel method to synthesize Ga1-xDyxAs QDs using methylphenyldiamine-assisted hydrothermal approach for IR-laser diodes application. The XRD technique was employed to examine the crystal structures of the Ga1-xDyxAs QDs. The TEM technique was used to identify the shape and size of the Ga1-xDyxAs QDs. The UV–vis was utilized to emphasize the emission spectrum and bandgaps of Ga1-xDyxAs QDs. The PL measurements disclosed the capability of the Dy atoms to tune the emitted colors from the Ga1-xDyxAs QDs. Moreover, The Dy atoms acted as fluorescent centers which helped for the increase of the emitted light intensity and decreased its bandwidth. The Ga1-xDyxAs QDs exhibited a tremendous quantum yield of 81%. The developed IR-laser diode showed high responsivity and selectivity at 700 nm. Therefore, the Ga1-xDyxAs QDs showed promising optoelectronic performance for future IR-laser photodiode technological applications.
Integrating SimEON with DeepRMSA for Dynamic Network Simulation of Elastic Optical Networks
Authors: Hu Boyang , Majid Mohammad Jafar , Ramamurthy Byrav 
Published: August 2023

Abstract
In optical networks, simulations serve as a cost-effective and potent network planning and design method. Such simulations allow researchers and network architects to rapidly procure preliminary insights into network performance and facilitate easy design modifications. Regrettably, a significant portion of optical simulators remain proprietary. Presently, there's a notable scarcity of simulation tools in the optical network domain that harness the prowess of machine learning. Elastic Optical Networks (EON) offer a distinct advantage over their Wavelength Division Multiplexing (WDM) counterparts due to their refined channel spacing and versatile spectrum resource utilization, enhancing spectrum efficiency. Network resource allocation emerges as a paramount research focal point in this context. Within EON, this challenge is termed the Routing, Modulation, and Spectrum Allocation (RMSA) problem. Its objective is judiciously allocating network resources by pinpointing the optimal modulation format, ensuring call request fulfillment. SimEON stands out as a unique open-source simulation tool tailored for EON, adept at simulating an array of EON configurations and designing RMSA alongside regenerator placement/assignment algorithms. Moreover, it can be augmented with appropriate models to simulate CapEx, OpEx, and network energy consumption metrics. Deep learning (DL), a specialized branch of machine learning, leverages neural networks, extensive data sets, and algorithms to cultivate models adept at unraveling intricate challenges. In this paper, we extended the capabilities of SimEON by integrating the DeepRMSA algorithm into the existing simulator. We compared the performance of conventional RMSA and DeepRMSA algorithms and provided a convenient way for users to compare different algorithms' performance and integrate other machine learning algorithms.
Exploring Vertebral Bone Density Changes in A Trunk with Adolescent Idiopathic Scoliosis A Mechanobiological Modeling Investigation of Intact and Unilaterally-Paralyzed Muscles
Authors: Hosseinzadehposti Mohammad , Kamal Zeinab , Rajaeirad Mohadese 
Published: August 2023

Abstract

This study aimed to investigate the impact of unilateral muscle paralysis on vertebral bone density in a spine with adolescent idiopathic scoliosis (AIS). This was achieved by utilizing Frost's mechanostat theory within a combined three-dimensional, subject-specific finite element model and a validated musculoskeletal model of the L2 vertebra. The findings of bone density, ranging from 0.29 to 0.31 g/cm3, and vertebral micro-strains, ranging from 300 to 2200, consisted with existing literature. The results of the intact model exhibited a 7.7% increase in Young's modulus due to a 2.55% increase in bone density over one year of bone remodeling. Furthermore, the concave-side paralysis of longissimus thoracis pars thoracic and multifidus lumborum muscles in the AIS model led to 2.42% changes in vertebral density, which ultimately caused a 3.64% decrease in bone stiffness compared to the intact AIS model. In conclusion, this modeling and simulation study enhances our comprehension of AIS biomechanics. Valuable insights have been gained, facilitating the development of personalized treatment approaches to manage deformity progression and optimize patient outcomes.
Exploration of the Best-Operating Conditions to Balance Efficiency and Quality of the Wafer Probing Process
Authors: Yeo Woonyoung , Chang Yung-Chia 
Published: August 2023

Abstract
Productivity in the wafer probing process is heavily influenced by two crucial factors: yield and equipment downtime. Low yield in the wafer probing process can be attributed to either the product itself or the wafer probing equipment. To identify the causes of low yield, it is typically necessary to conduct regular equipment check-ups. However, these check-ups also increase equipment downtime, which negatively impacts productivity. In this study, our objective was to enhance the effectiveness of the current contingency plan known as the Out of Control Action Plan (OCAP), which is implemented when a low-yield situation is detected. The OCAP serves as a comprehensive documentation outlining the necessary actions to identify and rectify the underlying causes, ultimately restoring stability to the wafer probing process. According to the experimental results, it is evident that the probe test yield, machine downtime, and pack out under optimal OCAP process flow conditions are better than the existing OCAP process flow mass-production conditions.
Parallel bucket sort algorithm on optical chained-cubic tree interconnection network
Authors: Mahafzah Basel A. 
Published: August 2023

Abstract

The performance of sorting algorithms has a great impact on many computationally intensive applications. Researchers worked on parallelizing many sorting algorithms to improve their sequential counterpart performance. Thus, several interconnection networks have been presented for that purpose, such as tree and hypercube as basic interconnection networks and Chained-Cubic Tree (CCT) and Optical CCT (OCCT) as hybrid interconnection networks. The OCCT is constructed from a tree and hypercubes where optical links are added between hypercubes on a certain level of the tree. These optical links are used for long-distance and provide speed and low power consumption. In this paper, a new modified Parallel Bucket Sort (PBS) algorithm is presented and applied to the OCCT interconnection network. This PBS algorithm is evaluated analytically and by simulation in terms of various performance metrics including parallel runtime, computation time, communication time, concatenation time, speedup, and efficiency, for a different number of processors, dataset sizes, and data distributions including random and descending. Simulation results show that the highest obtained speedup is approximately 862 on OCCT using 1020 processors and descending input data distribution of size 40 MB. Also, the highest obtained efficiency is approximately 92% on OCCT using 124 processors and descending input data distribution of size 40 MB, which means the utilization of the OCCT processors reaches 92%.
Challenges in advancing the sexual and reproductive health agenda in Latin America: perspectives of key informants
Authors: Alonso Juan Pedro , Cejas Cintia , Berrueta Mabel , Vazquez Paula , Perrotta Gabriela , Formia Sandra , Pirsch Sofía , Ballivian Jamile , Zavala Denise , López Analía , Belizán María 
Published: August 2023

Abstract

Background:
The effective attainment of sexual, reproductive, and maternal health and rights (SRMHR) requires a holistic life-course approach. This approach should address disparities in healthcare access and rights, guarantee the delivery of high-quality care devoid of discrimination, and underscore rigorous accountability mechanisms throughout the implementation process. Latin American and Caribbean (LAC) countries face significant disparities in SRMHR within and between nations. Vulnerable populations, such as indigenous communities, Afro-descendants, LGBTQI+ population, persons with disabilities, older adults, and migrants, often endure discrimination and stigmatization, severely impacting their access to healthcare and health rights. This paper discusses the findings of a qualitative component of a broader scoping study aimed at developing a priority research agenda to address the health gaps that affect SRHR of vulnerable populations.
This study aimed to identify critical challenges hindering progress in SRMHR and access to health services for vulnerable populations in LAC.
Methods:
Qualitative research approach employing semi-structured interviews with key informants. A purposive sample comprised of stakeholders from relevant regional organizations and local stakeholders in selected countries (Argentina, Colombia, Peru, Mexico, Guatemala, Jamaica, and Guyana), encompassing government representatives, civil organizations, and academia. A rapid content thematic analysis was conducted to analyze the data obtained from the interviews.
Results:
We interviewed 27 key informants in SRMHR, six at a regional level and 21 at a country level. The region faces barriers around establishing and sustaining agency agendas, such as a lack of political will, political instability, and opposition from civil society groups regarding SRMHR agendas. Policy implementation presents difficulties due to insufficient and unstable funding, weaknesses in sexual and reproductive health programs, unequal policy implementation in federal countries, and the absence of evidence-based policies. The lack of high-quality data and quality indicators poses obstacles, leading to limitations in evidence generation. Access to SRMHR services faces barriers such as the low-quality provision of services, discrepancies between legislation and effective access, insufficient healthcare resources, and resistance from certain healthcare providers.
Conclusion:
Addressing these multifaceted challenges will be crucial in advancing the agenda of sexual, reproductive, and maternal health rights and ensuring effective access to health services for the most vulnerable populations in the LAC region.
Electrical properties of iron sulfide-bearing dunite under pressure: Effect of temperature, composition, and annealing time
Authors: Tauber Michael J. , Saxena Suryansh , Bullock Emma S. , Ginestet Hélène , Pommier Anne 
Published: August 2023

Abstract
The detection and quantification of metal sulfides in host rocks by electrical measurements have been priorities for field and laboratory studies, motivated by mineral prospecting and fundamental interest in the mantle structure or core/mantle differentiation, among other reasons. Here, we reanalyze electrical data for a dunite host with added FeS or Fe-S-Ni (Saxena et al. 2021), and report additional experimental runs along with electron microprobe analyses. The applied pressure was 2 GPa; impedance spectra were acquired while annealing at 1023 K (below the metal-sulfide solidus), and while varying temperature from 570 to 1650 K. Addition of 6.5 or 18 vol% FeS strongly enhances conductivity of the bulk sample compared with that of the dunite host, though values are 100–100 000 times less than those of pure FeS. These results indicate that most metal sulfide content is not part of a viable conductive path, even for the 18 vol% quantity. Nevertheless, the relatively high conductivity and weak temperature dependence of the 18 vol% sample reveal that contiguous paths of solid or molten FeS span the electrodes. The sample with 6.5 vol% sulfide also exceeds the percolation threshold for temperatures as low as ~100 K below the eutectic melting point, likely because FeS softens. Conductivity is nearly unchanged upon crossing the eutectic temperature, however a decline over 1400–1500 K reveals that the 6.5 vol% molten FeS forms a fragile electrical network in dunite. Samples with Fe50S40Ni10 or Fe40S40Ni20 (at%) are less conductive than pure dunite at temperatures below ~1450 K. This surprising result, likely caused by a reducing influence of Fe or Ni metal, does not support the use of FeS as an analog for compositions with nickel or excess metal. Our findings suggest that probing the electrical network of metal sulfides as solids complements other studies focused on connectivity of molten metal sulfides.