bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing Efficacy of Plastic-free Alternative Ties For Coral Propagation in Reef Restoration
Authors: Strudwick Paige , Camp Emma F , Seymour Justin , Roper Christine , Edmondson John , Howlett Lorna , Suggett David J 
Published: March 2023

Abstract
Coral propagation and out-planting based restoration approaches
are increasingly being applied as tools to assist natural recovery
and preserve resilience of coral reefs. However, many out-planting
and propagation methods rely on plastic zip-ties to fasten corals
to structures in coral nurseries, which is potentially problematic
and unsustainable for the marine environment. Plastic-free
biodegradable alternatives are becoming available but may pose
unique risks by impacting coral associated bacterial communities
that are integral to coral health. We therefore examined the
bacterial communities of Acropora millepora coral
fragments propagated in coral nurseries in two experiments on the
northern Great Barrier Reef to identify whether biodegradable
materials differentially impact coral associated bacterial
communities. In each study coral fragments were secured to nursery
frames with conventional plastic, metal and biodegradable
(polyester and polycaprolactone) ties, and both tie failure and
coral associated bacterial communities were characterised during a
six-month period. Minimal coral mortality was observed (3.6-8 %)
and all ties tested had low failure rates (0-4.2 %) with the
exception of the polyester biodegradable material (29.2 % failure).
No differences were observed between coral associated bacterial
communities of fragments secured in the coral nursery with
different tie types, and no proliferation of putatively pathogenic
bacteria was recorded for fragments secured with biodegradable
ties. Overall, our findings suggest that reducing reliance on
conventional plastic can be achieved through transitions to
biodegradable materials, without any notable impacts on
coral-associated bacterial communities, but we caution the need to
examine wider coral taxa of different morphologies and growth
dynamics, and any new plastic-free materials prior to
application.
Fairness-driven Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing
Authors: Zhou Yunjun , Wan Shuhan , Zhang Detian , Wen Shiting 
Published: March 2023

Abstract
With the prevalence of mobile devices and ubiquitous wireless networks, spatial crowdsourcing has attracted much attention from both academic and industry communities. On spatial crowdsourcing platforms, task requesters can publish spatial tasks and workers need to move to destinations to perform them. In this paper, we formally define a new problem, i.e., the Skilled Task Assignment with Extra Budget (STAEB), which aims to maximize total platform revenue and achieve fairness for workers and task requesters. In the STAEB problem, the complex task needs more than one worker to satisfy its skill requirement and has the extra budget to subsidize extra travel cost of workers to attract more workers. We prove that the STAEB problem is NP-complete. Therefore, two approximation algorithms are proposed to solve it, including a greedy approach and a game-theoretic approach. Extensive experiments on both real and synthetic datasets demonstrate the efficiency and effectiveness of our proposed approaches.
Adsorption and corrosion inhibition behavior of Pterocarpus marsupium stem extract on mild steel in acid medium: Experimental and Statistical approach
Authors: M Lavanya , Suvarna Aishwarya S , P Preethi Kumari 
Published: March 2023

Abstract
The present work emphasizes the corrosion mitigation behavior of Pterocarpus marsupium stem extract (PMSE) on mild steel (MS) in various concentrations of hydrochloric acid (HCl) solution using an electrochemical technique. The experiments were conducted in three different levels of acid concentrations (0.1, 0.25, and 0.5 M), three levels of inhibitor concentration (0.03, 0.12 and 0.24 g/L), and at three different temperatures (303 to 313 K) and optimized to get maximum inhibition efficiency. The inhibition efficiency increased with an increase in PMSE concentrations in all the acid concentrations and decreased with an increase in temperature. The Tafel polarization technique revealed mixed inhibition behaviour of PMSE with maximum inhibition efficiency (% IE) of 88.9 % at 303 K containing 0.24 g/L of PMSE in 0.1 M HCl solution. The adsorption mechanism of PMSE on the surface of MS is consistent with physisorption by obeying Freundlich’s adsorption isotherm. The corrosion inhibition of PMSE predominantly owing to protective film formation on the metal surface and is confirmed by surface morphological and FTIR spectral studies. RSM studies using the Taguchi method revealed the highest inhibition efficiency to be predicted at minimum temperature and acid concentration and at the maximum inhibitor concentration as obtained in the experiments.
Gain-of-function RAC2 variants presenting as autoinflammatory phenotypes
Authors: Zhang Liang , Lv Ge , Li Zhihui , Zhao Xiaodong 
Published: March 2023

Abstract
Background
An expanded spectrum of gain-of-function (GOF) mutations in Ras-related C3 botulinum toxin substrate 2 (RAC2) causes severe combined immunodeficiency (SCID) or combined immunodeficiency (CID), which present with various phenotypes; these immunodeficiencies are characterized by severe lymphopenia, recurrent sinopulmonary infections, bronchiectasis, invasive viral infections, or severe bone marrow hypoplasia. Autoinflammatory features are rarely reported.
Method
We describe the cases of two girls presenting with novel autoinflammatory phenotypes associated with GOF RAC2 variants. An up-to-date review of the literature was conducted to explore the various spectra of clinical manifestations in patients with GOF RAC2 variants.
Results
One patient presented with vasculitis and leg ulcers, whereas the other presented with juvenile idiopathic arthritis and severe uveitis.
Conclusion
Our data extend the spectrum of the clinical presentation of GOF RAC2 variants, which may be associated with autoinflammation, highlighting novel and unusual clinical phenotypes.
A Security Analysis and Assessment for Petri Net-Based OpenStack Cloud Infrastructure
Authors: Morshedi Roya , Matinkhah S Mojtaba 
Published: March 2023

Abstract
Cloud computing is an important innovation in the current computing model that can provide an easy way to host and manage infrastructure and applications. Accordingly, due to the rapid growth of cloud computing over the past few years, security concerns have been raised. Various methods have been proposed for more security in the use of cloud computing, but not enough efforts have been made to evaluate the above methods. Providing and guaranteeing security as one of the most important open issues in cloud computing has always been the focus of researchers. The cloud service provider must adopt the necessary security strategies to increase the security of service allocation, operation continuity, storage management, information security and privacy protection in order to satisfy and reassure customers. Dealing with the challenges and threats identified in this environment requires providing a basic solution. In this article, infrastructure services as a service in cloud computing are described and the vulnerability of each is analyzed. According to the Petri net modeling tool, a new method to evaluate the security of infrastructure systems as a service is presented and analyzed. In this method, it is tried to be able to analyze the desired service provider and then define it through official models, thus creating an executive model of it, which can be serviced by applying existing security features. He evaluated the intended provider in terms of security and other characteristics. With the help of this method, the level of security of infrastructure systems as a service in cloud computing can be compared and evaluated. Then, using the Petri net modeling tool, one of the famous business systems for providing infrastructure as a service called Openstack is modeled and the behavior of attacks on it is evaluated. Applying the mentioned method on the Openstack system shows that our work has good security and it is expected that researchers, designers and companies providing cloud services will make significant use of the results in order to increase the security of services.
Green nanocoating-based chitosan and starch decorated with Egyptian kaolinite doped by ZnONPs for antimicrobial paper coating
Authors: Hasanin Mohamed S. , -Saied Houssni El , Morsy Fatma A. , Rokbaa Hanaa Hassan Abdel Latif 
Published: March 2023

Abstract
The paper coating is an out-layer of the paper that plays an important role in a paper’s properties, functionality and application. The nanocoating is a multifunction layer that supplied the paper with unique features. In this present work, nanocoating formulas were prepared using a green method and component as well. The nanocoating formulas were based on biopolymers (nanostarch and nanochitosan) decorated with Egyptian kaolinite doped with zinc nanoparticles (Ka/ZnONPs) as support for multifunctional uses. The nanocoating formulas were characterized using a physiochemical analysis as well as a topographical study. Additionally, the prepared nanocoating formulas affirmed an excellent antimicrobial activity as a broad-spectrum antimicrobial active agent with excellent activity against all representative microbial communities. Besides, the coated paper's optical, mechanical and physical properties were improved.
Eco-physiological screening and genetic diversity analysis of tomato genotypes in response to summer heat.
Authors: Vijayakumar Amrutha , R Beena 
Published: March 2023

Abstract
The impact of heat stress on agriculture is severe and negatively impacts crop productivity. In tropical and subtropical tomato-growing regions around the world, poor fruiting of tomato plants caused by heat stress is a major factor in low output. Exceeding optimum temperatures can shorten plant life and greatly accelerate fruit flowering and maturation. Temperatures above the reference temperature cause irregular flower development, reduced pollen production, pollen viability, fruit drop, ovule abortion, and ultimately reduced yield, generates an excess of reactive oxygen species (ROS), oxidative stress, and metabolic mechanism instability. High temperatures severely affect flower shedding, with tomato plants losing 80% of their flowers and reducing fruit set. For the characteristics pollen viability, photosynthetic rate, membrane stability and fruit number, high values of genotypic coefficient of variability, phenotypic coefficient of variability, heritability, and genetic progress were discovered. All nine separate traits demonstrated additive gene action in trait expression and should be given the utmost weight in phenotypic selection. Eigen value > 1 and cumulative variance of 75.04% were shown for the four main components.
The Impact of Farmland Management Scale on Carbon Emissions
Authors: 刘 军 , Bai Jing , Ma LiBang , Zhang WenBo 
Published: March 2023

Abstract
In rural China, the conversion between fine-grained farmland and large-scale farmland is a widespread phenomenon, with different impacts on agricultural carbon emissions. Therefore, how to define the optimal scale of farmland management to achieve " reducing CO2" has become an urgent problem to be solved. Based on the agricultural panel data of Gansu Province for 2000–2020, taking the scale of agricultural land management as the breakthrough point and the consumption intensity of agricultural materials as the intermediary factor, this paper discusses the driving mechanism of agricultural carbon emissions by the scale of agricultural land management. The results including: (1) From the perspective of the intermediary effect, large-scale farmers pay more attention to input efficiency of chemicals such as fertilizers than small-scale farmers, which can effectively promote the development of low-carbon agriculture. (2) A “U-shaped” relationship existed between agricultural land management scale and agricultural carbon emissions. The optimal agricultural land management scale was 7.413 mu/person without considering intermediary variables, and the agricultural carbon emissions were the lowest when agricultural land management scale in Gansu was 9.12 mu/person after adding the intermediary variables. (3) Dividing Gansu into different regions and considering intermediary factors, the carbon emission intensity reached its peak when the scale of farmland management in the Hexi region was 2.14 mu/person. When the optimal scale of farmland management in the Longdong and Longnan regions was 2.14 and 5.22 mu/person, respectively, intermediary variables such as chemical fertilizers in these regions all showed complete intermediary effects.
Spatial Variability of Rainfall and Classification of Peninsular Indian Catchments
Authors: Naik M. Ravi , Giridhar M. V.S.S 
Published: March 2023

Abstract

The strength and success of hydrological analysis depend upon the quantity and quality of observed data. In the recent past, the availability of advanced computing facilities and measurement techniques had a great impact on the field of hydrology, especially in hydrologic analysis and hydrologic modeling. In spite of such growth, the present hydrologic modeling has certain challenges: complexity (involving a large number of parameters), applicability to a specific region (difficult to generalize for other regions), and lack of understanding of the connection between model theories and the actual system. The general solution of simplifying the models in terms of developing a classification framework has been discussed and focused on in the present study. It will greatly help to overcome the hydrologic modeling challenges and provides a better understanding of the hydrologic process. In general, classification is a way of grouping entities which has similar characteristics. The importance of applying nonlinear dynamics and chaos methods for classification has been realized in the recent past; since such studies provide exclusive information on hidden characteristics such as complexity, nonlinearity, dimensionality, etc. Of hydrological processes. The hydrologic processes are complex. In this study, information regarding the complexity is extracted by statistical analysis and linear methods such as Autocorrelation Function, and Average Mutual Information. 367 gridded rainfall stations over Peninsular Indian basins are used to investigate the applicability of different methods used in the study.
Raltitrexed combined with carbon nanoparticles for lymphatic chemotherapy: on the in vitro cytotoxic behavior of HCT-116 cells
Authors: 伏 亚彦 , Sun Qiannan , Ma Yue , Shao Wenzhe , Ren Jun , Wang Daorong 
Published: March 2023

Abstract
Objective Carbon nanoparticle has a lymphatic tracing effect, which can be combined with anti-tumor drugs to induce lymph nodes and have a strong inhibitory effect on tumor cells. Evaluate the feasibility and effectiveness of the method.
Methods： CCK8 method was used to detect 1. IC50% (50% minimum lethal concentration) of CNP (50ug/ml-1500ug/ml) and RTX (10ug/ml-100ug/ml) on colorectal cancer cells HCT116, 2. Western blotting experiment (western blot, WB) to detect the effect of CNP (500ug/ml) on the apoptosis pathway of colorectal cancer cells HCT116. 3. The inhibitory effect of CNP+RTX (500ug/ml+40ug/ml) on intestinal cancer cells HCT116. Compare the inhibitory effect of pure RTX (40ug/ml).
Results: 1. The carbon nanoparticles had antiproliferative toxicity to HCT-116 cells in vitro.2. The IC50% of CNP and RTX on intestinal cancer cells HCT116 were 500ug/ml and 40ug/ml, respectively.3. Carbon nanoparticles promote the apoptosis of intestinal cancer cells HCT116.4. In the in vitro cytotoxicity test, CNP combined with RTX has a strong inhibitory effect on intestinal cancer cell HCT116, which is superior to RTX alone.
Conclusions: In vivo studies suggest that colorectal cancer cells HCT116 have obvious apoptosis under the treatment of carbon nanoparticles, and CNP+RTX has a significant inhibitory effect on colorectal cancer cells HCT116. Carbon nanoparticles raltitrexed combined with carbon nanoparticles may be a potential delivery system during lymphatic chemotherapy.
Drug Repurposing by in silico Prediction of Cyclizine Derivatives as Antihyperlipemic Agents
Authors: S Afanamol M , A Deepika Dinesh , K Shifa Ali , Vengamthodi Ajeesh , Rasheed Arun 
Published: March 2023

Abstract
Elevated total cholesterol is a major cause of heart disease and stroke in both developed and developing countries. Hyperlipidemia and atherosclerosis cause around 30% of ischemic heart disease. (WHO) Low HDL and high LDL and VLDL caused CVD before. Modern research has demonstrated that type 2 diabetes mellitus, obesity, and others affect CVD. This study repurposes drugs. Repurposing is the best way to produce a medicine for hyperlipidemia, a key cause of cardiovascular illnesses. It finds unique drug characteristics. Repurposing early research are cheaper and faster with fewer resources. Computational studies of cyclizine derivatives were done to identify their antihyperlipidemic effect since fenofibrate's nucleus is similar. 16 cyclizine derivatives docked against PPAR alpha scored higher than fenofibrate. Lifarizine and medibazine outperform fenofibrate in mmgbsa. Fenofibrate, etodroxizine, meclizine, and cinnarizine had similar mmgbsa scores.
Establishment of a method for attaching animal-borne data logger to freshwater turtles
Authors: Ohtani Kentaro , Ushimaru Atushi , Iwata Takashi 
Published: March 2023

Abstract
The lack of knowledge regarding the ecology of aquatic reptiles hampers the development of effective conservation strategies. Biologging is widely used to investigate behavioral ecology and physiology with animal-borne data loggers. In recent years, behavioral ecology studies using biologging have been conducted in freshwater turtles. However, universal methods for deployment of animal-borne data loggers in freshwater turtles have not yet been established. In this study, we established a method for attaching a data logger to freshwater turtles by conducting field experiments on a wild Reeves’ pond turtle and a wild red-eared slider. We attached a data logger to the carapace of a pond turtle using quick-setting epoxy, and by drilling holes in the marginal scutes of the slider’s carapace, and attaching it with cable ties. The data logger was deployed on the Reeves’ pond turtle for more than 3 h and on the red-eared slider for 26 days. We show that deployment of a data logger by fixing it on the holes in marginal scutes with cable ties is effective. In addition, analysis of the obtained data revealed that the movement speed of a pond turtle and the dynamic acceleration of a slider tended to be small in the periods from sunset to sunrise. It is expected that the diffusion of the attaching method of the animal-borne data logger established in this study will enable the elucidation of the behavioral ecology of freshwater turtles, such as classifying their behavior with acceleration, like walking and swimming, and calculating the proportion of each classified behavior.
Road Disease Detection Algorithm Based on YOLOv5s-DSG
Authors: Xiang Wanni , Wang Haichen , Xu Yuan , Zhao Yixuan , Zhang Luning , Duan Yali 
Published: March 2023

Abstract
Automatic detection and classification of road conditions are critical for the timely maintenance and repair of road surfaces. Aiming at the problems of single detection type, low detection efficiency, the low resolution of detection objects, and difficult detection of small object features in the road disease detection scene, this paper proposes an improved YOLOv5s road disease detection algorithm, YOLOv5s-DSG. First, optimize the depth and width of the network structure to reduce the impact on road damage image detection performance. Secondly, the Ghost module replaces the traditional convolution to reduce the number of model parameters, making the model lightweight and improving the detection rate. Finally, the Space-to-depth-Conv module is introduced to adapt to low-resolution and small object detection tasks. A large number of experiments on datasets such as Road Damage Dataset 2022 show that the average accuracy of the improved model at low resolution 640×640 is 1.1% higher than that of the original model, and the FPS is increased from 85 to 90; when the resolution is reduced to 480×480, the average accuracy remains the same and the FPS increases to 93. Compared with existing algorithms, it has apparent advantages in road comprehensive disease detection and classification.
Fabrication and Properties of Chitosan/ Keratin Reinforced with Musa Bagasse Membranes for Food Packaging
Authors: Jayasankar Sruthy , Tense Digin , Thomas Jubin Biju , V Sreelekshmi N , Manirethan Vishnu 
Published: March 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Distributed Homology-based Algorithm for solving Set k-Cover problem in Heterogeneous Directional Sensor Networks
Authors: Varposhti Marzieh 
Published: March 2023

Abstract
Coverage is one of the fundamental problems in directional sensor networks (DSNs). This problem is more complicated when we deal with heterogeneous DSNs (HDSNs). Prolonging the network lifetime is another important problem in this area. The problem of finding k disjoint cover sets known as the Set k-Cover problem can solve both the coverage and lifetime issues. In this paper a distributed algorithm is proposed for the Set k-Cover problem in HDSNs and then the method is applied for target k-tracking problem. In the Set k-Cover problem, directional sensors are partitioned into k disjoint sets where each set covers the entire area, and in object k-tracking problem, the object must be tracked by at least k sensors. The proposed algorithms are based on the notion of homology in Algebraic Topology. We consider the Nerve complex corresponding to the HDSN and demonstrate how topological properties of the Nerve complex of the network can be used to formulate the Set k-Cover problem as an integer linear programming problem. Then, we propose a distributed algorithm based on the subgradient method for this problem. After that, we propose a distributed algorithm for object k-tracking based on the solution of the Set k-Cover problem. Finally, we evaluate the performance of the proposed algorithms by conducting simulation experiments.