bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating PM2.5 utilizing multiple linear regression and ANN techniques
Authors: Gulati Sumita , Bansal Anshul , Pal Ashok , Mittal Nitin , Sharma Abhishek , Gared Fikreselam 
Published: December 2023

AbstractThe accurate prediction of air pollutants, particularly Particulate Matter (PM), is critical to support effective and persuasive air quality management. Numerous variables influence the prediction of PM, and it's crucial to combine the most relevant input variables to ensure the most dependable predictions. This study aims to address this issue by utilizing correlation coefficients to select the most pertinent input and output variables for an air pollution model. In this work, PM2.5 concentration is estimated by employing concentrations of sulfur dioxide, nitrogen dioxide, and PM10 found in the air through the application of Artificial Neural Networks (ANNs). The proposed approach involves the comparison of three ANN models: one trained with the Levenberg–Marquardt algorithm (LM-ANN), another with the Bayesian Regularization algorithm (BR-ANN), and a third with the Scaled Conjugate Gradient algorithm (SCG-ANN). The findings revealed that the LM-ANN model outperforms the other two models and even surpasses the Multiple Linear Regression method. The LM-ANN model yields a higher R2 value of 0.8164 and a lower RMSE value of 9.5223.
Prevalence of hepatitis D virus infection among patients with chronic hepatitis B infection in a tertiary care centre in Thailand
Authors: Ananchuensook Prooksa , Suksawatamnuay Sirinporn , Thaimai Panarat , Siripon Nipaporn , Sriphoosanaphan Supachaya , Thanapirom Kessarin , Poovorawan Yong , Komolmit Piyawat 
Published: December 2023

AbstractKnowledge about the epidemiology of hepatitis D virus (HDV) is essential for effective screening and management. Our study aimed to update the prevalence of HDV infection among patients with hepatitis B virus (HBV) infection at hepatology clinics in Thailand. We enrolled HBV-infected patients from hepatology clinics at King Chulalongkorn Memorial Hospital, Bangkok, Thailand, between June 2022 and November 2023. Demographic, biochemical characteristics, and liver-related complications (LRC), including cirrhosis and hepatocellular carcinoma, were reviewed. The competitive enzyme and chemiluminescence immunoassays were used to detect anti-HDV antibodies. Real-time polymerase chain reaction (RT-PCR) was used to test for HDV RNA in anti-HDV-positive patients. The HDV genotype was identified in detectable HDV RNA samples. Of the 702 enrolled patients, four (0.6%) had positive and equivocal for both anti-HDV tests. Two (50.0%) of the four patients tested positive for HDV RNA and genotype 1 was identified; one had multiple risk factors. Anti-HDV seroprevalence was not significantly different between patients with and without LRC. In conclusion, HDV co-infection is less common in Thailand than globally. Additionally, our study identified genotype 1, the predominant HDV genotype worldwide, and observed co-infection even without LRC.
Assessment of street-level greenness and its association with housing prices in a metropolitan area
Authors: An Sihyun , Jang Hanwool , Kim Hwahwan , Song Yena , Ahn Kwangwon 
Published: December 2023

AbstractRapid global urbanization has made environmental amenities scarce despite their considerable advantages, ranging from aesthetics to health benefits. Street greenness is a key urban environmental amenity. This study developed a green index as an objective measure of greenness using street view images and assessed its predictive power along with that of other environmental amenities for metropolitan housing prices. Spatial interpolation was used to transform point data into areal data, enabling effective analysis of a dataset covering an entire metropolis. A series of hedonic models revealed that (1) street greenness is significantly and negatively associated with housing prices, (2) a traditional greenness indicator and the green index provide complementary information, indicating that they could be used for different purposes, and (3) environmental amenities, in general, demonstrated significant relationships with housing prices. Our analysis strategy including spatial interpolation can be widely employed for studies using different types of data. The findings demonstrating a complementary relationship between our two greenness indicators provide valuable insights for policymakers and urban planners to improve street-level greenness and green accessibility. Considering the significance of environmental amenities, this study provides practical approaches for executing sustainable and healthy city development.
Characteristics of Amorphophallus konjac as indicated by its genome
Authors: Li Lifang , Yang Min , Wei Wei , Zhao Jianrong , Yu Xuya , Impaprasert Rarisara , Wang Jianguang , Liu Jiani , Huang Feiyan , Srzednicki George , Yu Lei 
Published: December 2023

AbstractAmorphophallus konjac, belonging to the genus Amorphophallus of the Araceae family, is an economically important crop widely used in health products and biomaterials. In the present work, we performed the whole-genome assembly of A. konjac based on the NovaSeq platform sequence data. The final genome assembly was 4.58 Gb with a scaffold N50 of 3212 bp. The genome includes 39,421 protein-coding genes, and 71.75% of the assemblies were repetitive sequences. Comparative genomic analysis showed 1647 gene families have expanded and 2685 contracted in the A. konjac genome. Likewise, genome evolution analysis indicated that A. konjac underwent whole-genome duplication, possibly contributing to the expansion of certain gene families. Furthermore, we identified many candidate genes involved in the tuber formation and development, cellulose and lignification synthesis. The genome of A. konjac obtained in this work provides a valuable resource for the further study of the genetics, genomics, and breeding of this economically important crop, as well as for evolutionary studies of Araceae family.
CFD modeling and simulation of benzyl alcohol oxidation coupled with hydrogen production in a continuous-flow photoelectrochemical reactor
Authors: Hanamorn Thorfhan , Vas-Umnuay Paravee 
Published: December 2023

AbstractVarious conversion routes of biomass and its derivative compounds into high-value products has attracted attention from researchers recently. Among these, a solar-driven photoelectrochemical (PEC) oxidation approach of biomass alcohols to aldehydes is particularly of great interest for the potential applications because the reaction is selective and simultaneously accompanied with hydrogen production. Here, we propose a simulation of selective oxidation of benzyl alcohol into benzaldehyde coupled with hydrogen production in a 2-dimensional continuous-flow PEC reactor using COMSOL Multiphysics (5.6). In order to develop and fabricate a simple yet efficient reactor for a practical use, it is crucial to investigate the effects of operating and design parameters of the reactor on the reactions. Our studies demonstrated that the main contributions to product formation were the electrolyte flow velocity and the width of electrolyte channels. The optimized design parameter exhibited good photoelectrochemical performance with uniform potential distribution within the channels which served diffusion of neutral and charged species and electrochemical reaction. The maximum conversion of benzyl alcohol in this work was 48.25% with 100% selectivity of benzaldehyde. These findings are key for the design of the continuous-flow PEC reactor that can be applied to any series of biomass conversion reactions under mild conditions.
Parasitoid-induced changes in metabolic rate and feeding activity of the emerald ash borer (Coleoptera: Buprestidae): implications for biological control
Authors: Dang Ying-Qiao , Duan Jian J. , Li Andrew Y. 
Published: December 2023

AbstractParasitoid-host interactions form the foundation of biological control strategies against many agriculture and forest insect pests. The emerald ash borer (EAB), Agrilus planipennis (Coleoptera: Buprestidae), is a serious invasive pest of ash (Fraxinus spp.) trees in North America. Tetrastichus planipennisi (Hymenoptera: Eulophidae) is a gregarious, koinobiont endoparasitoid, attacking late (3rd to 4th) instars of EAB larvae, which feed in the live phloem of ash trunks or branches, making serpentine-like galleries filled with larval frass. In the present study, we tested the hypothesis that T. planipennisi regulates the host metabolism and feeding activity to optimize its offspring development and fitness. We first compared the respiration rate of parasitized and unparasitized host larvae at different times after parasitism, and then measured feeding activity of both parasitized and unparasitized host larvae inside their feeding galleries. Although parasitized host larvae increased metabolic rate and feeding activity in the first few days of parasitism, T. planipennisi parasitism induced an overall reduction of the metabolic rate and decrease in feeding activity of parasitized host larvae over their development period. In addition, there was a negative relationship between feeding activity of parasitized hosts and brood sizes of the parasitoid progeny—i.e., the more parasitoid progeny a host larva received, the less feeding activity the host had. These findings suggest that T. planipennisi has limited ability to optimize its offspring development and fitness through regulations of the host metabolism and feeding activity and its parasitism reduces feeding damage of parasitized EAB larvae to infested ash trees.
Analysis of audiological outcomes of children referred from a universal newborn hearing screening program over 9 years in Beijing, China
Authors: Li Yue , Yang Xiaozhe , Wang Chuan , Cheng Xiaohua , Qi Beier , En Hui , Wen Cheng , Yu Yiding , Deng Lin , Liu Dongxin , Fu Xinxing , Liu Hui , Huang Lihui 
Published: December 2023

AbstractUniversal newborn hearing screening (UNHS) and audiological diagnosis are crucial for children with congenital hearing loss (HL). The objective of this study was to analyze hearing screening techniques, audiological outcomes and risk factors among children referred from a UNHS program in Beijing. A retrospective analysis was performed in children who were referred to our hospital after failing UNHS during a 9-year period. A series of audiological diagnostic tests were administered to each case, to confirm and determine the type and degree of HL. Risk factors for HL were collected. Of 1839 cases, 53.0% were referred after only transient evoked otoacoustic emission (TEOAE) testing, 46.1% were screened by a combination of TEOAE and automatic auditory brainstem response (AABR) testing, and 1.0% were referred after only AABR testing. HL was confirmed in 55.7% of cases. Ears with screening results that led to referral experienced a more severe degree of HL than those with results that passed. Risk factors for HL were identified in 113 (6.1%) cases. The main risk factors included craniofacial anomalies (2.7%), length of stay in the neonatal intensive care unit longer than 5 days (2.4%) and birth weight less than 1500 g (0.8%). The statistical data showed that age (P < 0.001) and risk factors, including craniofacial anomalies (P < 0.001) and low birth weight (P = 0.048), were associated with the presence of HL. This study suggested that hearing screening plays an important role in the early detection of HL and that children with risk factors should be closely monitored.
Growth of microalgae and cyanobacteria consortium in a photobioreactor treating liquid anaerobic digestate from vegetable waste
Authors: Sobolewska Ewelina , Borowski Sebastian , Nowicka-Krawczyk Paulina , Jurczak Tomasz 
Published: December 2023

AbstractThis research examines the biological treatment of undiluted vegetable waste digestate conducted in a bubble column photobioreactor. Initially, the bioreactor containing 3N-BBM medium was inoculated with Microglena sp., Tetradesmus obliquus, and Desmodesmus subspicatus mixture with a density of 1.0 × 104 cells/mL and the consortium was cultivated for 30 days. Then, the bioreactor was semi-continuously fed with liquid digestate with hydraulic retention time (HRT) of 30 days, and the treatment process was continued for the next 15 weeks. The change in the microalgal and cyanobacterial species domination was measured in regular intervals using cell counting with droplet method on a microscope slide. At the end of the experiment, Desmonostoc sp. cyanobacteria (identified with 16S ribosomal RNA genetical analysis) as well as Tetradesmus obliquus green algae along with Rhodanobacteraceae and Planococcaceae bacteria (determined with V3–V4 16sRNA metagenomic studies) dominated the microbial community in the photobioreactor. The experiment demonstrated high treatment efficiency, since nitrogen and soluble COD were removed by 89.3 ± 0.5% and 91.2 ± 1.6%, respectively, whereas for phosphates, 72.8 ± 2.1% removal rate was achieved.
Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics
Authors: Lee Chien-Yun , The Matthew , Meng Chen , Bayer Florian P , Putzker Kerstin , Müller Julian , Streubel Johanna , Woortman Julia , Sakhteman Amirhossein , Resch Moritz , Schneider Annika , Wilhelm Stephanie , Kuster Bernhard 
Published: December 2023

AbstractKinase inhibitors (KIs) are important cancer drugs but often feature polypharmacology that is molecularly not understood. This disconnect is particularly apparent in cancer entities such as sarcomas for which the oncogenic drivers are often not clear. To investigate more systematically how the cellular proteotypes of sarcoma cells shape their response to molecularly targeted drugs, we profiled the proteomes and phosphoproteomes of 17 sarcoma cell lines and screened the same against 150 cancer drugs. The resulting 2550 phenotypic profiles revealed distinct drug responses and the cellular activity landscapes derived from deep (phospho)proteomes (9–10,000 proteins and 10–27,000 phosphorylation sites per cell line) enabled several lines of analysis. For instance, connecting the (phospho)proteomic data with drug responses revealed known and novel mechanisms of action (MoAs) of KIs and identified markers of drug sensitivity or resistance. All data is publicly accessible via an interactive web application that enables exploration of this rich molecular resource for a better understanding of active signalling pathways in sarcoma cells, identifying treatment response predictors and revealing novel MoA of clinical KIs.
Special Education Assessment: Practices That Support Eligibility and Intervention
Authors: Power-deFur Lissa A. 
Published: December 2023

Purpose:
Federal special education requirements specify that information districts must gather and review during the process of finding a student eligible for special education and developing a student's Individualized Education Program (IEP). The purpose of this tutorial is to describe the federal requirements related to evaluation and assessment and to apply best practices in assessment to those expectations, thereby enhancing teams' ability to identify students' strengths and needs, determine eligibility for services, and create high-quality IEPs.

Method:
This tutorial includes a detailed review of the Individuals with Disabilities Education Act (IDEA) statute and regulations and the U.S. Department of Education guidance related to evaluation, assessment, and IEP development. The tutorial also reflects on an analysis of existing data regarding the identification of students with speech-language impairment in one state and a narrative review of the current literature related to assessment and its role in intervention planning.

Results:
The results indicate that the IDEA requires rigorous evaluation and assessment practices to determine eligibility (evaluation) and identify students' unique strengths and needs for intervention (assessment). By adhering to these requirements and employing evidence-based assessment practices, speech-language pathologists (SLPs) can be assured that they are gathering accurate and useful information. This information is fundamental to developing an IEP that will support students' acquisition of the knowledge and skills needed to progress in the general curriculum.

Conclusions:
This tutorial reviews federal requirements related to assessment and links these with best practices in assessment, to facilitate compliance with federal evaluation requirements and IEP development in a manner that meets the needs of all students. SLPs can rely on the IDEA for guidance in completing their special education evaluations and assessments, using this as a framework for employing evidence-based assessment practices.
Task offloading and resource allocation for blockchain‐enabled mobile edge computing
Authors: Fang Renbin , Lin Peng , Liu Yize , Liu Yan 
Published: December 2023

AbstractMobile edge computing (MEC) has risen as an effective approach to support ubiquitous and prosperous mobile applications. Due to the strict delay requirements and the increasingly complex application environments, the computation efficiency and security have become the bottleneck that restricts the MEC system. Here, a blockchain‐enabled task offloading scheme is proposed, where the sensitive computation tasks of user terminals (UTs) can be offloaded to a blockchain‐assisted base station (BS). The MEC‐assisted BS helps UTs compute tasks while the blockchain consensus protocol ensures the security of the task offloading and computing process. To manage the allocation of computing resources between task offloading and blockchain consensus, the task offloading and resource allocation are formulated as a joint optimization problem. The aim of the problem is to minimize the energy consumption of UTs while guaranteeing the delay requirement. By transforming the original problem into a Markov decision process, a collective reinforcement learning algorithm is proposed to solve the problem in an online fashion. In the simulations, the convergence and the performance of the proposed scheme are evaluated. The simulation results show the effectiveness of the scheme.
An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers
Authors: Alipour Mohammad Ali , Askarzadeh Alireza 
Published: December 2023

AbstractAmong the distribution network planning problems, allocation of transformers is one of the most important and challenging ones. On the other hand, owing to the widespread growth of distributed generations (DGs), their inclusion in the planning problems is vital. This paper proposes an efficient optimization framework for simultaneous allocation of photovoltaic (PV) systems and service transformers in the distribution network. For this aim, to improve the network performance, location and size of the transformers and PV units are optimally determined. Due to the difficulty of the planning problem, four variants of crow search algorithm (CSA) including original CSA, differential CSA (CSAd), directed differential CSA (CSAdd) and chaotic directed differential CSA (CSAcdd) are introduced and applied to the planning problem. To evaluate the impact of PV cost on the results, the planning problem is solved considering different PV system costs. Simulation results show that at the price of $1.25/W, installation of PV systems is cost‐effective, so that over the case study, 400 kW PV system was installed. By decreasing the PV price to $1.2/W, the maximum capacity considered for a PV system is installed. Moreover, on average, CSAd produces more accurate and robust results than the other studied algorithms.
Atmospheric pressure plasmas interacting with wet and dry microchannels: reverse surface ionization waves
Authors: Konina Kseniia , Raskar Sai , Adamovich Igor V , Kushner Mark J 
Published: December 2023

Abstract
Atmospheric pressure plasma jets (APPJs) are increasingly being used to functionalize polymers and dielectric materials for biomedical and biotechnology applications. Once such application is microfluidic labs-on-a-chip consisting of dielectric slabs with microchannel grooves hundreds of microns in width and depth. The periodic channels, an example of a complex surface, present challenges in terms of directly and uniformly exposing the surface to the plasma. In this paper, we discuss results from computational and experimental investigations of negative APPJs sustained in Ar/N2 mixtures flowing into ambient air and incident onto a series of microchannels. Results from two-dimensional plasma hydrodynamics modeling are compared to experimental measurements of electric field and fast-camera imaging. The propagation of the plasma across dry microchannels largely consists of a sequence of surface ionization waves (SIWs) on the top ridges of the channels and bulk ionization waves (IWs) crossing over the channels. The IWs are directed into electric field enhanced vertices of the next ridge. The charging of these ridges produce reverse IWs responsible for the majority of the ionization. The propagation of the plasma across water filled microchannels evolve into hopping SIWs between the leading edges of the water channels, regions of electric enhancement due to polarization of the water. Positive, reverse IWs follow the pre-ionized path of the initial negative waves.
Computational ghost image encryption method based on sparse speckles
Authors: Li Xinjia , Liu Yang , Sun Mingze , Yu Zhan , Li Yue , Zhao Dan , Zhang Jialin , Zhou Xin 
Published: December 2023

Abstract
Optical encryption based on ghost imaging has the advantages of high-speed parallel processing and multi-dimensional information. However, in practical application, a large number of speckle patterns are required to achieve the encryption, resulting in a significant increase in transmission costs and low encryption efficiency. In this paper, a compressive sensing-based ghost imaging encryption method using sparse speckles is proposed. The sparse speckle used in this method has the characteristics of easy compression and greatly reducing the amount of encryption keys. According to calculation, the memory overhead of keys using sparse speckles can reduce to 2.44% of that using random speckles. And the decryption effect and anti-noise performance of this method are also verified better than that using random speckles by simulation and experiment results.
Exploring the Mercury Beating Heart system: synchronization dynamics and potential applications in the field of nonlinear dynamics
Authors: Verma Dinesh Kumar , Kumar Pawan , Singh Ranjeet , Kumar Subhash , Prakash Yadav Satya , Kumar Gupta Pradeep 
Published: December 2023

Abstract
The Mercury Beating Heart (MBH) system, an intriguing chemo-mechanical oscillator, holds significance in experimental nonlinear dynamics. This system features a mercury droplet in an electrolyte, inducing oscillations through electrochemical reactions at their junction. It offers insights into coupled oscillator dynamics, showcasing synchronization behavior such as partial and explosive synchronization. Its simplicity and diverse dynamic behaviours make it an excellent choice for empirical and theoretical study. This article examines the MBH system’s innovation and potential applications, emphasizing topics like topological modes, chemo-mechanical synchronization, and collective behaviour. Notable demonstrations include observing Kuramoto transition via global coupling’s mean field interactions and explosive synchronization in star network setups. The goal is to present a comprehensive guide for researchers keen on using the MBH system to deepen our understanding of coupled oscillator dynamics. By exploring intricate synchronization phenomena, this article aims to inspire further investigation, advancing our comprehension and guiding future research paths.