bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Deep Learning-Based Speech System in Online Music Learning System
Authors: Wei Bo , Ma Shanshan 
Published: May 2023

Abstract

Due to the continuous promotion of the application of the speech recognition technology of the twin network algorithm, the system performance has been continuously expanded, gradually becoming stronger, and voice control can be realized. Supporting target tracking in the twin network is a statistical-based recognition algorithm that solves the problems caused by insufficient sample size, inseparable linearity, hierarchical fracture, lack of a global view, etc. It has a wide range of applications, accurate classification, and is mostly used for speech recognition system. The research purpose of this paper is to use the sound frequency expansion measurement from the input data dimension of the audio and data system, and the contribution of the principal component analysis (pca) of the principal component value characteristic to the parameter recognition accuracy of the sound and data system can be maintained. At the same time, it greatly shortens the training time of the target tracking support twin network. This article focuses on the demand analysis of music course learning system software, designing software architecture and data structure, and briefly explains the implementation and testing process of the system. Directly use the mobile terminal WeChat applet architecture and server: Use JavaEE architecture and other technologies, including online learning, path training, and course management. Based on this, the research focus of this article is to design and implement a WeChat-based small program architecture, and test the solution algorithm.
Unveiling the novel effect of Rhodopseudomonas palustris-derived extracellular 5-aminolevulinic acid on the growth and yield of Chenopodium formosanum Koidz under field conditions
Authors: Sundar Laurence Shiva , Chang Yao-Tsung , Chao Yun-Yang 
Published: May 2023

Abstract

Background:
Djulis is a nutrient-rich plant with potential health benefits, but its intensive fertilization hinders its yield, raising environmental concerns. Biofertilizers like purple non-sulfur bacteria (PNSB) offer an eco-friendly alternative to enhance growth and yield, yet limited research has investigated their efficacy on different djulis lines. Therefore, the current study aimed to investigate PNSB's effectiveness on two djulis lines in two fields, one control and the other inoculated with PNSB.
Methods:
Data on the growth and yield of djulis lines were collected and the results were statistically analyzed using independent sample t-tests and Duncan's multiple-range test.
Results:
The results showed that PNSB inoculation in the red line led to a significant increase in plant height (24%), leaf chlorophyll content (15%), spike length (35%), spike fresh weight (94%), shoot dry weight (207%), grain yield (86%), root length (119%), root volume (100%), and root dry weight (23%). As in the yellow line, PNSB inoculation significantly increased plant height (14%), spike length (26%), spike fresh weight (43%), shoot dry weight (53%), root length (36%), root volume (72%), and root dry weight (24%). Inoculation of PNSB had opposite effects on the maturity period of red and yellow djulis lines. It significantly improved the yield of the low-performing red line but had only minor effects on the high-performing yellow line, indicating the importance of selecting suitable lines.
Conclusion:
This study highlights PNSB's potential as a sustainable and cost-effective biofertilizer for djulis production and encourages further research to explore its applications in other crops and environments.
A first case association of Lambert-Eaton Myasthenic Syndrome and First Episode Psychosis: a case report
Authors: Siopa Carlos , Cordeiro Catarina , Moura Bernardo Melo 
Published: May 2023

Abstract
Background Lambert-Eaton Myasthenic Syndrome is an autoimmune neuromuscular junction disorder characterized by proximal weakness, autonomic dysfunction and areflexia associated with antibodies against voltage-gated calcium channels. Psychotic symptoms can take place in many auto-immune neurological disorders, but their occurrence in myasthenic syndromes has rarely been observed.Case presentation : We report a case of a 21-year-old female with primary autoimmune Lambert-Eaton Myasthenic Syndrome due to anti-voltage-gated calcium channels antibodies subtype P/Q, who developed psychotic symptoms 3 years after motor symptoms onset. With monthly administration, these symptoms improved after every cycle of Intravenous Immunoglobulin therapy. Different causes of reversible psychosis were excluded, such as autoimmune encephalitis. Owing to muscle strength worsening and psychotic episodes, the patient was put on several treatments including one admission to a Neurology unit.Conclusions This is, to our knowledge, the first described case of a psychotic syndrome associated with Lambert-Eaton Myasthenic Syndrome. We speculate that voltage-gated calcium channel antibodies could have a role in the development of mental symptoms, however further hypotheses are discussed.
Assessing the extent and impacts of linear infrastructure on Sri Lanka's natural and protected areas: implications for future development planning
Authors: Hewavithana Dishane , Weerakoon Devaka , Roy Shouraseni 
Published: May 2023

Abstract
Linear infrastructure (LI) has varying effects on landscapes depending on different ecosystems' sensitivity and threat levels. Economically developing tropical countries are particularly at risk from LI. Therefore, understanding a country's current LI network and planning future developments to avoid further fragmentation and disturbance is crucial. This study aimed to assess the extent of Sri Lanka's LI network (i.e., roads, railroads, and powerlines), given that it is both a biodiversity hotspot and an economically developing country in the tropics. First, we calculated the average Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) indices and examined their spatial autocorrelation per divisional secretariat division. Then a multivariate cluster analysis was used to determine clusters of natural and protected areas that may receive similar impacts from different LI and their combinations. Results indicated that roads are the most widespread LI type in Sri Lanka, followed by transmission lines and railroads. Over 80% of Sri Lanka's total land area falls within 1 km of either a national or a provincial/local road. Areas with high NDVI were primarily manmade habitats, with less than 20% contribution from protected areas. Over 50% of the total protected area of Sri Lanka is being impacted by all three types of LI. Powerlines were the most common LI type in protected areas in proportion to their total lengths. To minimize environmental impact while achieving development goals, future LI development activities should use a landscape approach to identify development needs and strategies informed by these findings.
Efficacy of lyophilized Lactobacillus sakei as a potential candidate for the prevention of carbapenem-resistant Klebsiella infection
Authors: Tajdozian Hanieh , Seo Hoonhee , AB RAHIM MD , Lee Young kyoung , Kim Sukyung , Jeong Yoon Kyoung , ul-Haq Asad , Lee Saebim , Kyung Shin Kwak , Ju Jung-Hyun , Oh Baek-Rock , kim Chul Ho , Song Ho-Yeon 
Published: May 2023

Abstract
Background
Antimicrobial resistance has been considered one of the greatest threats to human health, according to the World Health Organization (WHO). Gram-negative bacteria, especially carbapenem-resistant Enterobacteriaceae (CRE), drive this alarming trend.Among CRE pathogens, carbapenem-resistant Klebsiella pneumonia (CRKP) has recently been reported as a highly infectious one responsible of a high mortality and morbility in adults and immunocompromised patients. Additionally, CRKP-related infections are challenging to treat, as carbapenems are the last resort of antibiotics. Therefore, developing novel drugs with different mechanism of action from the existing drugs is urgently required to defeat this lethal menace. In these circumstances, probiotics intended for being a potential choice to be a therapeutic candidate and inhibit the pathogens. Thus, our research team has been focusing on probiotics for a long time to develop potential anti-CRKP drug agents.
Methods
After such efforts, we finally found a novel Lactobacillus sakei PMC104 derived from kimchi, a probiotic strain suitable for treating CRE infection. Next, as part of our expansion into therapeutic development, we did media optimization at food grade and then established a scale-up process to pilot scale. A lyophilizate was then obtained, which was subsequently used in a mouse model infected with CRKP.
Results
Data showed that treatment with L. sakei powder remarkably diminished the body weight loss, mortality, and illness severity in CRKP-infected mice which shows the preventive effect of our PMC 104 against CRKP infection.
Discussion
Our results exhibit the potential therapeutic effect of our candidate probiotic strain opposed to the CRKP, advocating that L. sakei can be congested as an antimicrobial candidate for treating CRKP infections. However, extensive studies such as toxicity tests and clinical trials are still needed to develop it as a new anti-CRE therapeutic agent.
The influence of greenery on reduction of air temperature and air pollution in an urban canyon; A case study
Authors: Kaveh Sonia , Habibi Amin , Nikkar Mohammad , Aflaki Ardalan 
Published: May 2023

Abstract
Outdoor ambient air temperature and air quality are considered as a main health concern whereas 66% of the world's population live in cities by 2050. The current study aims to evaluate the effect of different types and location of greeneries as well as building heights and wind orientation in urban canyon .The research applied the numerical simulation to model a street canyon with different scenarios. The study, focusing on PM10, PM2.5 and NOx concentrations in hot-arid district. The results showed that stepped buildings with green walls has the highest temperature of 18.02° C, and two rows of deciduous trees has the lowest temperature of 17.56° C as the best and worst scenarios simultaneously. Comparison of scenarios (with and without trees) indicated that the efficiency of trees and vegetation on the moderation of thermal comfort. Scenarios 1, 2, 7 and 8 which are without trees, have a high degree of temperature. However, scenario 5, with two rows of deciduous trees, has the lowest temperature and the highest pollution. Moreover, a significant correlation between wind flow and reduction of air temperature and pollutant have been observed. This study presents the novel design pattern of ventilation for air pollutant removal, moreover develops a scenario with maximum coverage of streets and walls with suitable plants, Using the right planting technique, choosing the right plants and trees for urban streets, building walls, and installing green roofs, these findings might aid urban designers and architects in creating more sustainable cites.
Optimize the ordering of the Hadamard basis through the max-projection method to design the masks of ghost imaging suitable for efficient reconstruction of face images
Authors: ZHANG HAIPENG , DU KANG , ZHAO CHANGZHE , TANG JIE , SI SHANGYU , JIA WENHONG , XUE LIAN , ZHONGLIANG LI 
Published: May 2023

Abstract
One important component of ghost imaging is the encoded mask. Hadamard matrix has been the widely used mask for its binary and orthogonal property. Inspired by deep learning, max-projection ordering was proposed to reorder Hadamard bases for efficient and fast reconstruction applied to frontier research such as cerebral imaging. Simulations of face demonstrated only 20 training images obtained an outstanding ordering. In noise-free simulation at an ultra-low sampling rate of 5%, PSNR of max-projection ordering was 1.1dB higher than those of cake-cutting ordering with the best performance in the reference group. Reconstruction time was reduced to milliseconds. In noisy simulation, at ultra-low sampling rates, the retrieved images were almost identical to those without noise. Accordingly, max-projection ordering Hadamard matrix is a promising solution to real-time ghost imaging for higher reconstruction quality, stronger noise immunity and millisecond reconstruction time.
WITHDRAWN: Combining UAV-LiDAR and UAV-Photogrammetry for Bridge Assessment and Infrastructure Monitoring
Authors: Abdel-Maksoud Hany 
Published: May 2023

Abstract

Maintaining the health of strategic infrastructures and bridges is crucial for effective maintenance operations. However, traditional periodical monitoring using elevating platforms is expensive and complex, leading to a search for more efficient and flexible methods. In recent years, there has been a growing adoption of non-invasive approaches such as the use of Unmanned Aerial Vehicles (UAVs) equipped with optical sensors and LiDAR technologies for rapid mapping of the territory. This study presents two methodologies for bridge inspection. The first approach integrates traditional topographic and GNSS techniques with TLS and photogrammetry using cameras mounted on UAV. The second approach involves using a DJI Matrice 300 equipped with a LiDAR DJI Zenmuse L1 sensor for both manual and automatic flights. While the first approach resulted in a centimeter-accurate but time-consuming model, the UAV-LiDAR point cloud's georeferencing accuracy was less accurate in the case of manual flight under the bridge due to GNSS signal obstruction. However, a photogrammetric model reconstruction phase using Ground Control Points and photos taken by the L1-embedded camera improved the overall accuracy of the workflow. This workflow can be used for flexible, low-cost mapping of bridges when medium level accuracy (5–10 cm) is acceptable. Finally, the article presents a solution for integrating the final 3D products interactively into a Bridge Management System environment.
Design of nanocomposite using zein and bentonite to control the release of curcumin
Authors: Khakpourian Zahra , Farrokhi Azita , Mandoumi Noushin 
Published: May 2023

Abstract

Curcumin is a polyphenol with multiple biological activities, but it has very poor solubility in water, which limits its application. The aim of this study was to design a nanocomposite using zein and bentonite to control the release of curcumin under the conditions of pH = 7.4 and 5. FTIR spectroscopy confirmed that curcumin binds to zein through hydrogen bonding. In laboratory conditions, drug release was studied using UV-Vis spectroscopy in acidic conditions (pH = 5) and physiological pH (pH = 7.4) and its release was compared with curcumin alone. The results showed that the release of curcumin at pH = 5 is faster than at pH = 7.4.
Characterisation of the Paenarthrobacter nicotinovorans ATCC 49919 genome and identification of several strains harbouring a highly syntenic nic-genes cluster
Authors: El-Sabeh Amada , Mlesnita Andreea-Mihaela , Munteanu Iustin-Tiberius , Honceriu Iasmina , Kallabi Fakhri , Boiangiu Razvan-Stefan , Mihasan Marius 
Published: May 2023

Abstract
Background Paenarthrobacter nicotinovorans ATCC 49919 uses the pyridine-pathway to degrade nicotine and could provide a renewable source of precursors from nicotine-containing waste as well as a model for studying the molecular evolution of catabolic pathways and their spread by horizontal gene transfer via soil bacterial plasmids.Results In the present study, the strain was sequenced using the Illumina NovaSeq 6000 and Oxford Nanopore Technology (ONT) MinION platforms. Following hybrid assembly with Unicycler, the complete genome sequence of the strain was obtained and used as reference for whole-genome-based phylogeny analyses. A total of 64 related genomes were analysed; five Arthrobacter strains showed both digital DNA-DNA hybridization and average nucleotide identity values over the species threshold when compared to P. nicotinovorans ATCC 49919. Five plasmids and two contigs belonging to Arthrobacter and Paenarthrobacter strains were shown to be virtually identical with the pAO1 plasmid of Paenarthrobacter nicotinovorans ATCC 49919. Moreover, a highly syntenic nic-genes cluster was identified on five plasmids, one contig and three chromosomes. The nic-genes cluster contains two major locally collinear blocks that appear to form a putative catabolic transposon. Although the origins of the nic-genes cluster and the putative transposon still elude us, we hypothesise here that the ATCC 49919 strain most probably evolved from Paenarthrobacter sp. YJN-D or a very closely related strain by acquiring the pAO1 megaplasmid and the nicotine degradation pathway.Conclusions The data presented here offers another snapshot into the evolution of plasmids harboured by Arthrobacter and Paenarthrobacter species and their role in the spread of metabolic traits by horizontal gene transfer among related soil bacteria.
Controlled tumor heterogeneity in a co-culture system by 3D bio-printed tumor-on-chip model
Authors: Moghimi Nafiseh , Hosseini Seied Ali , Dalan Altay Burak , Mohammadizadeh Dorsa , Goldman Aaron , Kohandel Mohammad 
Published: May 2023

Abstract
Background: Cancer treatment resistance is a consequence of cell diversity and tumor heterogeneity. Tumor cell-cell and cell-microenvironment interactions significantly influence tumor progression and invasion, which have important implications for diagnosis, therapeutic treatment and chemoresistance.
Method: In this study, we develop 3D bioprinted in vitro models of the breast cancer tumor microenvironment (TME) made of co-cultured cells distributed in a hydrogel matrix with controlled architecture to model tumor heterogeneity. We hypothesize that the tumor could be represented by a cancer cell-laden co-culture hydrogel construct, whereas its microenvironment can be modeled in a microfluidic chip capable of producing a chemical gradient. Breast cancer cells (MCF7 and MDA-MB-231) and non-tumorigenic mammary epithelial cells (MCF10) were embedded in the alginate-gelatine hydrogels and printed using a multi-cartridge extrusion bioprinter.
Results: Our method gives special control on the cell positions in the co-culture system, whereas different tumor architectures can be designed. Cellularly heterogeneous samples comprised of two different cancer cells with controlled density are developed in specific initial locations, i.e. two cell types randomly mixed or positioned in sequential layers. A migration-inducing chemical microenvironment was created in a chamber with a gradual chemical gradient to study the cell migration in the complex tumor construct toward the chemoattractant. As a proof of concept, the different migration pattern of MC7 cells toward the epithelial growth factor gradient was studied with presence of MCF10 in different ratio in this device.
Conclusion: Combining 3D bioprinting with microfluidic device in our method provides a great tool to create different tumor architectures as can be seen in different patients, and study cancer cells behaviour with accurate special and temporal resolution.
Food Consumption and Body Composition Are Associated With Metabolic Syndrome Score in Children
Authors: Lourenço Larissa , Viola Poliana , Franceschini Sylvia , Rosa Carla , Ribeiro Sarah 
Published: May 2023

Abstract
INTRODUCTION/OBJECTIVE: Risk factors for metabolic disorders in childhood are likely to persist into adulthood. It is, therefore, important to identify these factors early to reduce the incidence of cardiovascular outcomes. Thus, this study evaluated the following factors associated with MS in children aged four to seven years: sociodemography, lifestyle, food consumption and nutritional status.
METHODS: The study is a cross-sectional study conducted with 397 children (4-7 years) who were monitored during their early months of life via the Lactation Support Program (PROLAC). The continuous risk score for MS was assessed using Principal Component Analysis (PCA) and the MS risk factors used to calculate the score were Waist circumference (WC), High Density Lipoprotein (HDL), Triglycerides (TG), Mean Arterial Pressure (MAP) and blood sugar.
In order to evaluate the continuous score’s cut-off point capable of predicting MS risk, a Receiver Operating Characteristics (ROC) curve was employed. The factors associated with MS were analyzed by multiple logistic regression analysis with the addition of variables by levels according to the hierarchical theoretical model.
RESULTS: The chance of MS was 1.58 times higher among overweight children (OR: 1.58; 95% CI: 1.07 - 2.32). A higher calorie intake (OR: 1.0005; 95%CI: 1.0002 - 1.0008) was found to increase the chance of MS. Also, a higher percentage of lean body mass reduced the chance of presenting MS among the children (OR: 0.96; 95%CI: 0.94 - 0.98).
CONCLUSION: In children, higher calorie intake, excess weight and lower percentage of lean mass were associated with a greater chance of MS.
A None-zero Mean Noise Adding Mechanism in Differential Privacy in Federated Learning of Neural Networks Based on Fully Homomorphic Encryption and Greedy Average Block Kaczmarz
Authors: Wang Meng , Wang Qiong-Yun , Zhang Yahao , Zhang Zi-Xuan , Feng Ya-Ning , Cao Yu-Feng 
Published: May 2023

Abstract
Scholars propose a noise adding mechanism in local differential privacy to provide a strict privacy guarantee to federated learning. However, there are two problems. On the one hand, the noisy data is close to its original value with high probability due to the zero mean random noise, leading to the information exposure. On the other hand, a large variance of the noise makes the estimated average of the parameters bias. To overcome the difficulties, we propose a framework of none-zero mean noise adding mechanism in differential privacy in federated learning of deep networks based on fully homomorphic encryption and greedy average block Kaczmarz method. In the work, a none-zero mean adding noise to original data is determined locally according to the correlation between the local and global distributions. Using fully homomorphic encryption and greedy average block Kaczmarz method, a de-noising weighting aggregation strategy is derived without decryption of the mean to guarantee the privacy of user by a third party. Moreover, the weight is generated complete randomly so that it is difficult to obtain the mean. As the means are different among the clients and unpredictable for attackers, the variance of the noise can be small. Experiments show that the proposed method provides a higher level of accuracy than the non-privacy-preserving federated learning, while it guarantee privacy for multi-party machine learning tasks.