bluuebunny/crossref_metadata_2025_split huggingface dataset:
An image copyright authentication model based on blockchain and digital watermarking
Authors: Xiaosheng Huang , Yi Wu 
Published: June 2023

Abstract
This paper proposes an image copyright authentication model that combines blockchain technology, digital watermarking, IPFS(InterPlanetary File System) and perceptual hash function , aiming to solve the secure storage problem of watermark images in digital image copyright authentication. This paper designs a spatial domain watermarking algorithm to implement watermark embedding and detection, and verifies its imperceptibility and correctness through experiments. This paper also uses the content addressing feature of IPFS and perceptual hash function to obtain a unique identifier, and records it on the blockchain to achieve secure storage and distribution of watermark images, and adopts image encryp-tion technology to make them visible but unreadable to unauthorized visitors. The innovation of this paper lies in proposing a digital image copyright authen-tication model that combines multiple technologies, which can effectively protect watermark images from tampering, leakage and infringement.
Optimizing daylighting performance for educational buildings by using parametric material system.
Authors: Oraby Hoda Abd Elmonem Abd Allah , El-Borombaly Prof. Dr. Hossam , Fatah Motaz Abd El 
Published: June 2023

Abstract
The research aims to comparative analytical study of different parametric materials systems to reduce the energy consumed in an educational building because Energy efficiency is a low-cost way to save money, support modern teaching methods, reduce pollution, Create Tertiary Education buildings that are either of top quality or interesting, or ideally both. Although educational building consumes a lot of energy—and money There are many new types of building materials and techniques being used in architecture and engineering, with new advancements in materials and technology, some even taking new spins on ancient practices. materials and techniques that could be useful for the future of buildings and spaces. to find more effective and sustainable ways to design and engineer products, buildings, and service systems[i] The way parametric systems operate can be applied to architecture to lessen its environmental impact and to increase its efficiency. These attempts to investigate a new strategy for environmental design which are derived from the evolutionary development of smart systems, from their material properties and from their adaptive response to changes in their environment is achieved through an attempt of merging; smart, kinetic material systems and architecture, exploring their potential in developing a more comfortable and much more energy efficient architecture.
Off-road environment Localization of unmanned vehicles based on Visual-Inertial
Authors: Li Jingbo , Firkat Eksan , Zhu Bin , Zhu Jihong , Hamdulla Askar 
Published: June 2023

Abstract
Nowadays, simultaneous localization and mapping(SLAM), as one of the basic problems of autonomous driving technology, is used in more and more scenarios and fields, such as robot exploration, driverless cars, VR (virtual reality) ,and AR (augmented reality). However, most of the simultaneous localization and mapping studies in the past were conducted in a structured environment, and there was a lot of room for improvement in the performance in the complex environment in the field. In this paper, a visualization monocular visual-inertial odometry consisting of a monocular camera and an inertial measurement unit is introduced, and the front end of the system can operate robustly in the environment of large changes in field light, low texture and bumpy roads by fusing visual information and inertial measurement unit information at the front end, and using nonlinear optimization at the back end. The method in the paper can accurately measure six degrees of freedom (DOF) by combining only a monocular camera and an inertial measurement unit. We verified the performance of the algorithm on the public datasets ROOAD and EuRoC. The results are compared with other state-of-the-art algorithms to show that our method can indeed operate robustly in the field environment and surpass the best performing algorithms in EuRoC.
Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review
Authors: Luzolo Pedro Hilário , Galland Stéphane , Elrawashdeh Zeina , Outay Fatma , Tchappi Igor 
Published: June 2023

Abstract
The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologiesthat have long been applied to the development of smart systems. These systemscover various areas, such as smart cities, energy management, autonomous cars,etc. Intelligence, autonomy, and real-time monitoring are the fundamental ele-ments that characterize these application areas. The convergence of multi-agentsystems (MAS), IoT, and AI has opened up new possibilities for creating smarterbuildings and cities. This integration leverages the power of MAS to enable intelli-gent communication and collaboration among various entities, while IoT providesa vast network of interconnected sensors and devices that collect and transmitreal-time data. On the other hand, AI algorithms process and analyze this data toderive valuable insights and make informed decisions. Multi-agent systems tech-nology is one of the most used for the implementation of such intelligent systems.This article aims to focus on multi-agent systems, although it also covers otherrelated topics by carrying out a Systematic Literature Review (SLR) on relevantresearch works in the previous ten years. Eleven research questions are consideredat the beginning of the review, including typical research topics and applicationdomains. From the SLR results the research directions are: (i) Development ofa methodology that shows how to integrate the different applications indepen-dent of the scenarios that are deployed in. Additionally, elaboration of the toolsused in the integration process; (ii) Deployment of an agent in a microprocessor; (iii) How to implement and connect Multi-agent systems (MAS) technology andInternet of Things (IoT) devices (processors, controllers, sensors, and actuators).
LM-UNet: Lateral MLP Augmented U-Net for Medical Image Segmentation
Authors: Qiu Haitao , Shi Cao 
Published: June 2023

Abstract
With the rapid development and popularization of medical imaging equipment, imaging technology has been widely used in clinical practice, and it has become an indispensable aid for disease diagnosis, surgical planning, and prognosis assessment. Medical images often play a crucial role in the diagnosis and treatment process. In this work, we propose a segmentation model applied to clinically informative medical images, which utilizes a multi-scale hybrid multilayer perceptron (MLP) to establish the connection between local and global information.
A hierarchical encoder-decoder architecture based on U-Net and MLP network is proposed. The designed tokenized feature maps, in the Lateral-MLP architecture (LM-UNet), are utilized as lateral connections in multiple levels. The output tokenized sequences inherently have non-local relationships. Hence, it is capable of capturing multi-scale global features, and meanwhile enhancing the boundary information. We have implemented the segmentation experiments on three publicly available datasets. Our LM-UNet outperforms the UNeXt model, achieving an average Dice improvement of 2.07\%, 2.48\% and 0.11\% on the ISIC 2018, OAI-ZIB 2D and BUSI datasets, respectively.
This study improves the accuracy and generalization of medical image segmentation. This study explores the merits of MLP sequences and convolution features. The integration of U-Net and MLP-Mixer blocks achieves the improvement on segmentation accuracy in practical medical applications.
Quantum Mechanical Investigation of the Structural Stability, pressure-induced Thermoelectric response, Electronic and optical behavior of SrZrO3 under Extreme Conditions
Authors: Rizwan Muhammad , Ullah Hafiz Muhammad Naeem , Ali Syed Shahbaz , Hira Uzma , Naeem Hamza , Usman Zahid 
Published: June 2023

Abstract

The mechanical stability, band gap enhancement, optical response and impact of pressure on thermoelectric figure of merit are considered vital parameters from thermoelectric device’s perspective based on SrZrO3 (SZO). The knowledge of elastic constant expressed structural stability of SZO (cubic symmetry) even at elevated pressures. Cauchy’s pressure and Poisson’s ratios demonstrated brittle behavior of SZO till 10GPa, and it transformed to ductile material for higher pressures. The topology of electronic band structure and its pressure effects are discussed with the help of density of states. Optical properties expressed significant shifting to higher energy values as a function of pressure. Seebeck coefficient and electrical conductivity showed an increasing trend with the application of external pressure, with no significant change in their graphical behavior from its ambient conditions. The lowest value of ZT is obtained at 40GPa. The structural stability and sustained thermoelectric behavior at higher pressure declares SZO as ideal candidate for energy applications at extreme conditions.
Magnetic Oxide Nano-Porous Adsorbents: A Highly Efficient Approach for Acid Fuchsin Removal from Medical Laboratory Effluents via Adsorption Process
Authors: Ahmed Harez , Shwan Dler , Agha Nian , Radha Fuad Hama Sharif 
Published: June 2023

Abstract
Natural clay minerals offer a straightforward and industrially efficient pathway for the large-scale production of active silica materials exhibiting diverse morphologies and functions. However, the presence of magnetic oxide nanoparticles (Fe3O4), enriched with metal ions, generated during this process has led to their classification as contaminants in laboratory effluents due to their specific adsorption of Acid Fuchsin Dye (AFD) in aqueous solutions. This study focuses on the characterization of clay minerals, particularly examining the interlayer spacing in smectites. Notably, the synthesis of Magnetic Oxide Nano-Porous Clay (MONPC) results in an approximate doubling of the specific surface area from 10.02 to m2 g-1 compared to natural clay. The findings suggest a significant impregnation of Fe3O4 within the Natural Clay (NC) matrix. The impregnated and natural clay samples were comprehensively characterized using XRD, SEM-EDS, FTIR, and N2 adsorption-desorption techniques, confirming the presence of a porous surface structure with a high surface area. Utilizing an adsorbent concentration of 0.1 g/L, MONPC achieved complete removal of AFD from initial dye solutions with a 400 mg/L concentration which is attributed to the strong H-bonding ability of MNOPC with AFD dye as indicated by adsorption mechanism study. The adsorption capacity of AFD onto MONPC reached equilibrium within 60 to 120 minutes, with an initial pH of 9. The Pseudo-Second-Order model accurately depicted the chemisorption process of AFD adsorption, while the Freundlich isotherm model consistently provided a superior fit to the data compared to the Langmuir model. Thermodynamic analysis of the MONPC adsorbent demonstrated that the adsorption process was exothermic and spontaneous, with significant entropic changes at the solid-liquid interface. These results suggest that the adsorption of AFD dye onto MONPC was favorable in terms of enthalpy but unfavorable in terms of entropy. Considering the high surface area and enhanced adsorption capacity of MONPC, it exhibits tremendous potential as a promising adsorbent for the removal of AFD in wastewater treatment applications.
From mechanism to application: decrypting light-regulated denitrifying microbiome through geometric deep learning
Authors: Liao Yang , Bian Jiyong , Zhao Jing , Zhang Ziwei , Xu Siqi , Qin Yijian , Luo Xuan , Miao Shiyu , Li Rui , Liu Ruiping , Zhang Meng , Zhu Wenwu , Liu Huijuan , Qu Jiuhui 
Published: June 2023

Abstract
Background: Regulation on denitrifying microbiomes is crucial for sustainable industrial biotechnology and ecological nitrogen cycling. The holisticgenetic profiles of microbiomes can be provided by meta-omics. However, precise decryption and further applications of highly complex microbiomes and corresponding meta-omics datasets remain great challenges.
Results: Here, we combined optogenetics and geometric deep learning, following the discover-model-learn-advance (DMLA) cycle, that successfully decrypted light-regulated denitrifying microbiomes and validated the model predictions in the wet lab. Graph neural networks (GNNs) exhibited superior performance in integrating gene expression and subcellular information to identify co-expressed gene panels. Enrichment analysis on critical gene panels successfully predicted the co-expression between reactive oxygen species (ROS) and nitrogen metabolism, as well as the divergent secretion system. Yellow light centralized metabolism fluxes to synthesize protein and increased the extracellular protein concentrations by 83.8%. Contrariwise, blue light decentralized the metabolism fluxes to secrete bioactive substances like secondary metabolites, cofactors and vitamins. The topological network of gene panels guided the scientific discovery of nitrate-superoxide co-regulation and biotechnology development that utilize superoxide to facilitate nitrate removal and realized 99.9% enhancement.
Conclusions: Overall, our study showcased the potential of GNNs-empowered optogenetic approaches for regulating denitrification and accelerating the mechanistic discovery of microbiomes for in-depth research and versatile applications.
Variability of Fungal Detection in the Airways of Horses With and Without Clinical Signs, According to the Sample Site and Analytical Methods
Authors: Lemonnier Louise Claire , Couroucé Anne , Cessans Margot , Petit Ludovic , Cardwell Jacqueline M. , Barbazanges Pauline , Toquet Marie-Pierre , Richard Eric A. 
Published: June 2023

Abstract
Fungi detection in equine airways may be performed on either tracheal wash (TW) or bronchoalveolar lavage fluid (BALF) by either cytology or culture. However, method comparisons are sparse. The objective was to determine the prevalence of fungi in airways of horses with or without respiratory clinical signs, according to the sample site and laboratory methodology. Sixty-two adult horses, investigated in the field or referred for respiratory disease, were included.TW and BALF were collected from each lung separately through a videoendoscope. Fungi were detected by cytology and culture. Overall prevalence of fungi was of 91.9% in TW and 37.1% in BALF. Fungi were positively cultured from 82.3% TW and 20.9% BALF. Fungal elements were observed by cytology in 69.4% TW and 22.6% BALF. Prevalence of fungi was not significantly different between horses with or without clinical signs. In 50%of horses, the same fungi were detected in both TW and hay, but fungi detected in BALF and hay did not correspond for any horse. Poor agreement was found between TW and BALF and between culture and cytology (Cohen’s kappa coefficient (κ) < .20). Moderate agreement was found between cytology of left/right lungs (κ = .47). The prevalence of fungi by cytology on pooled BALF was significantly different (p = .023) than on combined left + right BALF. A high prevalence of fungi was detected in the lower respiratory tract of horses, particularly in the TW. Hay might not be the primary source of fungi of the lower respiratory tract of horses.
Comparative Study on Seismic Behaviour of RC Structure with Framed Tube Structure and Shear Wall for Different Stories
Authors: Sutar Sourabh , Patil Rahul D. 
Published: June 2023

Abstract
This paper presents a comparative study on the seismic behaviour of reinforced concrete (RC) structures with framed tube systems and shear walls for different numbers of stories. Using ETABS software, the study intends to assess how well these structural systems perform when subjected to seismic and wind loads. The study focuses on tall structures in a particular seismic zone. Buildings with varied story counts (40, 50, and 60) and a standard area of 1600m2 (40m x 40m) are included in the analysis. Storey displacements for both lateral load resisting systems were evaluated. The Response Spectrum Method was used to analyse the structure. The results show that the framed tube structure exhibits superior seismic resistance compared to the shear wall system. It exhibits reduced displacements, higher drift ratios, base shear forces, and enhanced structural ductility. These results suggest that the framed tube structure can be a practical substitute for tall buildings in seismic areas. To avoid excessive deformation and failure, it is important to remember that sufficient stiffness and strength must be guaranteed in the design of framed tube structures. Future studies should also investigate how material characteristics, loading patterns, and interactions between the earth and the structure affect how seismically stable these structures are. This study has important implications for high-rise building design and construction in seismic areas. The framed tube structure's better earthquake resilience demonstrates how reliable a solution it may be.
A Productive Friction: Leveraging Misalignments Between Local Ecological Knowledge and Remotely Sensed Imagery for Forest Conservation Planning
Authors: Clark Matthew C , Hamad Haji Massoud , Andrews Jeffrey , Kolarik Nicholas , Hopping Kelly , Hillis Vicken , Mulder Monique Borgerhoff 
Published: June 2023

Abstract
Both satellites and nearly 2 billion forest-proximate peoples continually monitor Earth’s forests. Generally, the satellite record summarizes production estimates, such as percent tree cover, at regular, relatively coarse scales. Conversely, local perceptions tend to capture changes at irregular and very fine scales. While the utility of both of these sources of information has been widely demonstrated in isolation, little work has explored how they might be systematically and quantitatively integrated. Here, we collect gridded information on community perceived and remotely sensed mangrove cover change across 719 0.5-km grids in Pemba Island, Tanzania. We reveal variation in the association between these two data sources across different wards (shehia) and explore the reasons for this variation using interviews and direct observation. We find that shehia with the greatest alignment between perceived and remotely sensed mangrove change tended to have little planting or natural regeneration of mangrove propagules and large areas of complete cover loss. Alternatively, in shehia with the lowest alignment, we find high levels of natural and/or human-assisted mangrove recolonization and selective harvesting of individual trees and branches. Finally, we demonstrate a practical workflow for quantitatively leveraging these misalignments by optimizing across both data sources to identify restoration priority areas.
Prevalence of Ocular, Adnexal and Orbital Trauma at Three Areas in Different Tertiary Care Centers in Karachi.
Authors: Qidwai Nazia , Hayat Nausheen , Alkhairy Saba , Mahmood Tauseef , Ashraf Muhammad , Cheema. Alyscia , ul-Hassan Mazhar 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Asymmetric response of above- and below ground biomass of C3- and C4-dominated grasslands to aridity
Authors: Hossain Md Lokman , Li Jianfeng 
Published: June 2023

Abstract

Assessing the dynamics of grassland functioning is critical for gaining an understanding of their feedback on rising aridity. In attempting to understand the response of grassland ecosystem functioning to aridity, the (i) relationships between biomass productivity (above- and belowground biomass: AGB and BGB, and their partitioning: BGB:AGB) and seasonal and annual aridity, and (ii) biomass allocation pattern between the AGB and BGB of C3- and C4-dominated grasslands in humid temperate, humid savanna, cold steppe, and savanna ecoregions were assessed. Results reveal that biomass productivity and its partitioning responded significantly to differences in growing season aridity, but the response patterns were not consistent for ecoregions. The decreased annual and seasonal biomass partitioning in humid savanna and cold steppe was associated with increased AGB and decreased BGB with accelerated aridity. There was a significant positive correlation in the biomass allocation pattern between the AGB and BGB of plants in three ecoregions, which supports the optimal partitioning theory. This study reveals that growing season aridity, rather than annual aridity, is the primary factor of biomass productivity and partitioning in the studied grasslands. These findings have significant repercussions for predicting ecosystem functioning and stability, restoring degraded ecosystems, and ensuring the sustainable management of grassland biodiversity.
Pengaruh Penggunaan Kurtepung (Kursi Terapi Punggung) Dalam Menurunkan Keluhan Low Back Pain (LBP) Pada Pekerja Batik Tulis
Authors: Wuni Cici , Sari Dewi Ratna , Sahara Harahap Putri 
Published: June 2023

ABSTRAK
Nyeri punggung bawah dapat menyerang siapa saja baik anak-anak hingga dewasa. Salah satu jenis pekerjaan yang berisiko untuk terkena LBP adalah pembatik dikarenakan pembatik bekerja dengan posisi duduk dalam jangka waktu yang lama dan dilakukan secara berulang-ulang setiap hari dengan ketelitian yang tinggi, dengan posisi tersebut tenaga kerja mempunyai resiko terjadinya LBP. Tujuan Penelitian untuk mengetahui pengaruh penggunaan Kurtepung terhadap keluahan LBP pada pembatik di Kota Jambi. Metode penelitian menggunakan quyas eksperinment dengan rancangan pretest dan post test. Teknik pengambilan sampel dilakukan secara acak dengan melihat karakteristik yang sama. Uji Statistik menggunakan uji beda paired test dengan tingkat kemaknaan (Î±=0,05). Hasil uji statistik pada kelompok yang menggunakan Kurtepung selama 1 bulan diperoleh p-value = 0,013 (<0,05), pada kelompok yang menggunakan Kurtepung selama 1,5 bulan diperoleh p-value = 0,006 (<0,05), dan pada kelompok yang menggunakan Kurtepung selama 1,5 bulan diperoleh p-value = 0,005 (<0,05). Maka dapat disimpulkan ada pengaruh penggunaan kurtepung terhadap menurunkan keluhan Low Back Pain (LBP) pada pekerja batik tulis di Kota Jambi.
Kata kunci: Low Back Pain, Kurtepung, Pembatik
Pengaruh Penundaan Pemotongan Tali Pusat Terhadap Kadar Hemoglobin Pada Bayi Baru Lahir
Authors: Santi Marlina , Wardani Zenderi , Sari Nilam Permata 
Published: June 2023

ABSTRAK
Penundaan pemotongan tali pusat secara signifikan meningkatkan cadangan zat besi dan meningkatkan transfer sel induk (stem cells) pada bayi baru lahir. Pencatatan waktu dan efek penjepitan tali pusat yang tertunda belum dijelaskan dalam banyak referensi. Penelitian ini bertujuan untuk menganalisis pengaruh penundaan pemotongan tali pusat terhadap kadar hemoglobin pada bayi baru lahir. Penelitian ini merupakan penelitian Quasi Experiment dengan desain Non-Equivalent Control Group Design. Analisis data dilakukan secara deskriptif dan inferensial. Pengaruh penundaan pemotongan tali pusat terhadap kadar haemoglobin dilakukan dengan menggunakan uji independent t-test. Hasil penelitian menunjukkan bahwa rerata kadar hemoglobin bayi baru lahir yang mengalami penundaan penjepitan tali pusat lebih tinggi (21,18 g/dL) dibandingkan rerata kadar hemoglobin bayi baru lahir yang dilakukan penjepitan tali pusat dini (19,13 g/dL). Analisis statistik menunjukkan pengaruh yang signifikan dari penundaan penjepitan tali pusat terhadap kadar hemoglobin bayi baru lahir (p-value = 0,048). Penelitian ini merekomendasikan Penundaan pemotongan tali pusat sebagai salah satu tahapan prosedur perawatan persalinan standar.
Kata kunci : Penundaan pemotongan tali pusat; Hemoglobin; Anemia; Bayi baru lahir