bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strongly coupled C@MoSe2@OMWCNT heterostructure as an anode for sodium ion batteries
Authors: Yang Yincai , Wang Feng , Biang Mengru , Chen Youwen , Zhang Shiguo , Yu Zhen-Qiang , Au Chak-Tong , Yin Shuang-Feng , Qiu Renhua 
Published: June 2023

Abstract
The advancement of high-performance sodium ion batteries (SIBs) necessitates the creation and production of sophisticated anode materials that can provide high capacity, exceptional rate capability, and prolonged cycle life. In this investigation, we have successfully synthesized C@MoSe2@OMWCNT (oxidized multiwall carbon nanotubes) materials utilizing OMWCNTs as a foundation. Theoretical analysis has revealed that the utilization of OMWCNTs not only enhances the structural stability of the anode materials but also improves the electrical conductivity and Na+ ion mobility (the Na+ diffusion barrier: (MoSe2) 0.91 eV vs (C@MoSe2@OMWCNT) 0.41 eV) of the C@MoSe2@OMWCNT. These properties make C@MoSe2@OMWCNT a promising candidate for the development of high-performance SIBs. When C@MoSe2@OMWCNT is employed as the anode for the SIB, it exhibits exceptional cycle stability, with a capacity of 303 mA h g-1 and 189 mA h g-1 after 500 and 3000 cycles, respectively, under a current density of 5 A g-1. Overall, this investigation provides valuable insights into the design and synthesis of advanced anode materials for SIBs, which could have significant implications for the development of next-generation energy storage devices.
clinical manifestations of pediatric patients with preseptal and orbital cellulitis in chongqing(Western China)
Authors: chen si , pi lianhong , Xiong Haibo 
Published: June 2023

Abstract
Background
To characterize the clinical manifestations of pediatric patients with preseptal and orbital cellulitis in chongqing(Western China).
Methods
A retrospective analysis of 82 pediatric patients over a 10-years period (January 2012 to December 2022) was conducted.
Results
57 patients with preseptal and 25 with orbital cellulitis were included.Sinusitis was the main cause of both groups, followed by upper respiratory tract infections. The orbital cellulitis group was more likely to cause severe consequences such as eye fixation, eye protrusion, and vision impairment. Upon admission, the white blood cell count and [(21.40±5.30)×10^9/L] and C-reactive protein level [(58.10±32.54) mg/L] in the orbital cellulitis group were higher than those in the preseptal cellulitis group [(15.45±7.64)×10^9/L, (20.55±11.30) mg/L] (P<0.001).The orbital cellulitis group had a longer duration of antibiotic treatment [(10.05±1.94) d vs. (9.26±1.17) d, P<0.05] and a longer hospital stay [(9.04±1.37) d vs. (8.10±1.29) d, P<0.001]; regarding the use of hormone therapy and the occurrence of complications.The orbital cellulitis group (32%, 40%) was more likely to develop complications compared to the pre-septal group (3.5%, 5.3%) (P<0.01). All 82 patients were clinically cured.The incidence of complications in the orbital cellulitis group (40%) was significantly higher than that in the pre-septal cellulitis group (5.3%) (P<0.001). Complications gradually improved after the cured patients were discharged, and no recurrence of orbital cellulitis was observed during the 12-week follow-up.
Conclusion
Patients in the orbital cellulitis group had more severe infections and complications. WBC and CRP can be used as indicators to assess infection severity. Topical and systemic antibiotics, combined with surgery if necessary, can effectively cure preseptal and orbital cellulitis.
SiamSMN: Similarity Map Fusion Siamese Network for Visual Object Tracking
Authors: Cheng Xu , Chen Fengjiao 
Published: June 2023

Abstract
The existing Siamese trackers have achieved increasingly successful results in visual object tracking. However, the interactive fusion among multi-layer similarity maps after cross-correlation has not been fully studied in previous Siamese network-based methods. To address this issue, we propose a novel SiamSMN for visual object tracking, which consists of feature extraction network, multi-scale fusion module and prediction head. First, the feature extraction network is used to extract the features of the template image and the search image, which is calculated by a depth-wise cross-correlation operation to produce multiple similarity feature maps. Second, we propose an effective multi-scale fusion module that can extract global context information for object search and learn the interdependencies between multi-level similarity maps. In addition, to further improve tracking accuracy, we design a learnable prediction head module to generate a boundary point for each side based on the coarse bounding box, which can solve the problem of inconsistent classification and regression during the tracking. Extensive experiments on four public benchmarks demonstrate that the proposed tracker has a competitive performance among other state-of-the-art trackers.
Ceres—No further organic-rich sites: Implications for its evolution
Authors: Nathues Andreas , Cloutis Ed , Hoffmann Martin , Singh Pragya , Thangjam Guneshwar , Hernandez Jorge , Sarkar Ranjan 
Published: June 2023

Abstract
Ceres—a potential ocean world—displays multiple signs of recent/current geological activity. There are indications of a high carbon content in its crust, but the exact form of this carbon is elusive. Spectral data acquired by NASA’s Dawn mission revealed local occurrences of aliphatic organics, which are also characterized by spectral redness in the wavelength range between 0.4 and 0.9 µm. But ambiguities in the geologic context led to uncertainties in whether the organics are endogenic or in-fall deposits. Our global search for similar red-sloped spectra reveals that there are no further sites with a detectable amount of organic material; but this observation cannot be extended to imply their complete absence outside the known areas. In addition, there is another surface type that displays red-sloped spectra; but instead of organics, the redness is due to the ongoing exposure of fresh, hydrated materials on the walls and floors of mid-latitude craters.
Voltage Drop Improvement by using Fast Fault Detection in order to Increase the Resilience of Multi-Carrier Microgrids
Authors: Ebrahimi Reza , Moradi Mohammad Hasan , Jahangiri Alireza , Abedini Mohammad 
Published: June 2023

Abstract
Power quality has become a vital factor because of the simultaneous use of electric and gas energies in a network (multi-carrier grid) as well as the use of modern electrical equipment. Poor electricity quality is defined as the presence of changes, distortions, or disturbances in voltage, current, and frequency quantities that cause the failure or improper operation of the subscribers' equipment. In this research, we aim to improve the voltage drop and increase the resilience of the multi-carrier distribution network (Energy Hub) in the event of a short-circuit fault, resulting in the provision of 10% of the total load and an improvement in subscriber welfare. To improve the voltage drop, we first need fast fault detection, which is accomplished by using an FCL filter, which is capable of detecting any short-circuit fault in the shortest amount of time by combining the method of estimating frequency fluctuations and the Prony method. After detecting the fault, a combination of DVR and D-STATCOM (DDS) is used to compensate for the voltage drop. The amount of increase in subscriber resilience and welfare will then be investigated. The simulation results show proper performance in identifying the short-circuit fault to prevent the subscribers' collapse and blackout.
Energy Consumption in Microservices Architectures: A Systematic Literature Review
Authors: Araújo Gabriel , Sabino Arthur , Lima Luiz , Costa Vandirleya , Brito Carlos , Rego Paulo , Fé Iure , Silva Francisco Airton 
Published: June 2023

Abstract
Cloud computing is a paradigm that delivers technology resources on demand through service virtualization.
Virtualization allows sharing of hardware by applications compartmentalized into multiple independent modules.
Microservices architecture uses the ability of virtualization to adopt a software architecture approach based on building applications composed of several interdependent and loosely coupled modules.
However, microservices architectures can incur large energy costs to achieve the required levels of performance and availability.
Several research topics related to energy consumption in microservice architectures have already been explored, such as elasticity, reliability, performance, and availability.
However, given the variety of problems and solutions, identifying research trends and gaps related to microservices is complex.
We aim to systematically identify, rank, and compare existing research trends and gaps around energy consumption in microservices.
This paper presents a systematic review of energy consumption in microservices architectures.
This work also provides a list of references to find the mapped works, thus being able to guide searches more safely.
paper selection started with 3625 papers, followed by three refinement processes in which 37 papers were selected for a full review.
The remaining 37 papers were cataloged and classified according to some criteria, such as metrics, evaluation method and type of architecture.
Thus, the review revealed research gaps and trends in energy consumption in microservices architectures.
In addition, significant research challenges and directions were identified.
The research challenges are presented based on the metrics that guide each work in this systematic review: performance, elasticity, scalability, reliability, sustainability, and availability.
Multi-Strategy Whale Optimization Algorithm for global optimization and engineering applications
Authors: Wang Xingwang , Zhang Qingyang , Yang Shengxiang , Dong Yongquan 
Published: June 2023

Abstract
The Whale Optimization Algorithm(WOA), a population-based meta-heuristic technique,which mimics the hunting behavior of humpback whales and has been successfully applied to solve many real-world problems. The standard WOA algorithm suffers from uneven population distribution and premature convergence. In this paper, a multiple strategy whale optimization algorithm (MSWOA) is proposed. Firstly, the population is initialized using the sobol sequence, local search around each individual is performed to improve the quality of the initial solution. Secondly, global search is implemented by introducing levy flight and improved pa factor. Thirdly, an adaptive weight strategy is proposed to improve the global exploration and local development capabilities of the algorithm. Finally, the genetic variation operator is introduced to enhance the ability of escaping from local optimum. To verify the performance of the proposed technique, MSWOA is compared with six state-of-the-art meta-heuristics on 23 benchmark functions and three engineering optimization problems. The experimental results show that MSWOA has better performance on most of benchmark functions and is competitive in solving engineering design problems.
All-solid-state lithium batteries in cold environments of -20 ℃ enabled by amorphous halide-based electrolytes LiNbCl5X and LiTaCl5X
Authors: Ishiguro Yoshitaka , Iida Genshi , Ueno Kenji , Nishimura Sayaka , Igarashib Yasuo 
Published: June 2023

Abstract
All-solid-state lithium batteries (ASSLBs) using inorganic solid state electrolytes (SSEs) have earn good reputation owing to their good performances at room temperature, including high safety, long cycling life and high energy density. However, at extremely low-temperature environments, ASSLBs can hardly operate well due to seriously enlarged inner resistance arising from impedances from SSEs themselves and interfaces between electrodes and SSEs. In this work, to solve the problem, we introduce amorphous halide electrolytes LiNbCl5Xn- 1/n and LiTaCl5Xn- 1/n (Xn- = Cl-, O2-, F-) with ultrahigh room-temperature ionic conductivity higher than 10 mS/cm and even retaining 4 mS/cm at -20 ℃. Their grain boundary free characteristic and high Li+ migration speed even at extremely low temperatures realize efficient and effective ion transport throughout the ASSLBs inside. To determine an appropriate running voltage for LiNbCl5Xn- 1/n and LiTaCl5Xn- 1/n, their high cathode interface stability at potential 4.3 V is examined by TOF-SIMS. It is attractive that they enable ASSLBs using high nickel cathode (LiNi0.91Co0.06Mn0.03O2) to retain 94 % capacity after 3,000 cycles and 85 % capacity after 4,000 cycles (4.4 V, ~25 mg/cm2 loading, >5 mAh/cm2, 1.3 C rate) under -20 ℃. This work will contribute to realizing high performance ASSLBs at extremely low-temperature environments using amorphous SSEs.
A Survey of Small Object Detection Based on Deep Learning in Aerial Images
Authors: Hua Wei , Chen Qili 
Published: June 2023

Abstract
Small object detection poses a formidable challenge in the field of computer vision, particularly when it comes to analyzing aerial remote sensing images. Despite the rapid development of deep learning and significant progress in detection techniques in natural scenes, the migration of these algorithms to aerial images has not met expectations. This is primarily due to limitations in imaging acquisition conditions, including small target size, viewpoint specificity, background complexity, as well as scale and orientation diversity. Although the increasing application of deep learning-based algorithms to overcome these problems, few studies have summarized the optimization of different deep learning strategies used for small target detection in aerial images. Therefore, this paper aims to explore the application of deep learning methods for small object detection in aerial images. The primary challenges in small object detection in aerial images will be summarized. Next, a meticulous analysis and categorization of the prevailing deep learning optimization strategies employed to surmount the challenges encountered in aerial image detection is undertaken. Following that, we provide a comprehensive presentation of the object detection datasets utilized in aerial remote sensing images, along with the evaluation metrics employed. Additionally, we furnish experimental data pertaining to the currently proposed detection algorithms. Finally, the advantages and disadvantages of various optimization strategies and potential development trends are discussed. Hopefully, it can provide a reference for researchers in this field.
On the zeros of a Lacunary type of Quaternionic Polynomial with restricted coefficients
Authors: Tripathi D. 
Published: June 2023

Abstract
In this paper, we are concerned with the problem of locating the zeros of lacunary polynomials of a quaternionic variable with restricted real and quaternionic coefficients. We derive bounds of Eneström-Kakeya type for the zeros of these polynomials by virtue of a maximum modulus theorem. Our results generalize some recently proved results about the distribution of zeros of a quaternionic polynomial.
AMS 2010 Subject Classification: 30E10, 30G35, 16K20.
Association between non-pharmaceutical interventions and the spread of infectious disease during the Covid-19 outbreak in Germany: Application of a hierarchical Bayesian Approach
Authors: Khazaei Yeganeh , Küchenhoff Helmut , Hoffmann Sabine , Syliqi Diella , Rehms Raphael 
Published: June 2023

Abstract
Background: Non-Pharmaceutical Interventions (NPIs) are community mitigation strategies, aimed at reducing the spread of illnesses like the coronavirus pandemic, without relying on pharmaceutical drug treatments. This study aims to evaluate the effectiveness of different NPIs across sixteen states of Germany, for a time period of 21 months of the pandemic.
Methods: We used a Bayesian hierarchical approach that combines different sub-models and merges information from complementary sources, to estimate the true and unknown number of infections. In this framework, we used data on reported cases, hospitalizations, intensive care unit occupancy, and deaths to estimate the effect of NPIs.The list of NPIs includes: “contact restriction (up to 5 people)”, “strict contact restriction”, “curfew”, “events permitted up to 100 people”, “mask requirement in shopping malls”, “restaurant closure”, “restaurants permitted only with test”, “school closure” and “general behavioral changes”.
Results: We found a considerable reduction in the instantaneous reproduction number by “general behavioral changes”, “strict contact restriction”, “restaurants permitted only with test”, “contact restriction (up to 5 people)”, “restaurant closure” and “curfew”. No association with school closures could be found.
Conclusions: This study suggests that some public health measures, including general behavioral changes, strict contact restrictions, and restaurants permitted only with tests are associated with containing the Covid-19 pandemic. Future research is needed to better understand the effectiveness of NPIs in the context of Covid-19 vaccination.
Real-World Efficacy of N95, Surgical, and Cloth Masks in Mitigating SARS-CoV-2 Respiratory Infections: A Comprehensive Comparative Study
Authors: Cai Jun , Yan Ying , Pan Zhigeng , CHEOK Adrian 
Published: June 2023

Abstract
The effectiveness of different types of masks in mitigating respiratory infections, particularly those caused by SARS-CoV-2, has been a topic of significant interest during the COVID-19 pandemic. In this study, we conducted a comprehensive comparative analysis of the real-world efficacy of N95, surgical, and cloth masks in reducing the transmission of respiratory infections. Using a large sample size and rigorous data collection methods, we evaluated the protective capabilities of each mask type by assessing the number of infections among individuals wearing these masks in various settings. Our findings reveal that N95 masks exhibited the highest level of protection, followed by surgical masks and cloth masks. However, even cloth masks provided a significant level of protection compared to no mask usage. The results of our study underscore the importance of widespread mask usage as a critical public health measure to control the spread of respiratory infections. These findings have significant implications for public health policies and highlight the need for continued adherence to mask-wearing practices.
Molluskenfauna des Isselsystems beim Ausbaustand 1976/77
Authors: Hinz Werner , Daub Hermann , Merx Christel , Tinz Claudia , Wiersch Werner 
Published: June 2023

Im weitgehend β-mesosaproben Isselsystem (Nordrhein-Westfalen, Bundesrepublik Deutschland), das durch sommerliche Niedrigwasser, gelegentliche Hochwasser und starke Geschiebeführung gekennzeichnet ist, wurden an 45 halbquantitativ untersuchten Gewässerstellen und in 4 quantitativ bearbeiteten Abschnitten insgesamt etwa 35500 lebende Mollusken erbeutet und 38 Arten nachgewiesen. Der Durchschnitt aus 340 Bodengreiferproben beträgt etwa 3000 lebende Tiere pro m2, die maximale Siedlungsdichte ca. 24000 (95 %-VB für μ: 11000 bis 37000). Pisidium supinum, dessen Abgrenzung von P. henslowanum im Fall der Jungtiere problematisch ist, hat die höchsten Siedlungsdichten (maximal etwa 9000 pro m2; 95 %-VB für μ: 5700 bis 10700) im Stillwasserbereich des Issel-Ufers innerhalb von Glyceria-Beständen, wo dem Sand eine dünne Schlammschicht aufliegt. Das weitgehende Fehlen von Großmuscheln, die durch langsames Wachstum und durch Fortpflanzungsfähigkeit erst im Alter von mehreren Jahren gekennzeichnet sind, ist offensichtlich die Folge von regelmäßigen Sandräumungen und gelegentlichem Trockenfallen der Issel.
Zönosen der Odonaten stehender Kleingewässer im Hagener Raum - Artenzahlen, ihre Ermittlung und die Abgrenzung von Libellengemeinschaften
Authors: Schlüpmann Martin 
Published: June 2023

Die Artenzahlen der Libellenzönosen von 312 stehenden Kleingewässern im Hagener Raum werden analysiert. Bei Imagines-Untersuchungen sind zur Ermittlung korrekter Artenzahlen 3-5 Begehungen unter Beachtung der Phänologie zwischen Anfang Juni und Mitte September notwendig (16. bis 26. Dekade). Die Vollständigkeit einer Untersuchung läßt sich an der Sättigungskurve der Artenzahl in Abhängigkeit von der Anzahl der Untersuchungen darstellen. Sättigungskurven dieser Art sind bei größeren Gewässerkomplexen, an denen neben bodenständigen Arten gelegentlich einzelne Libellen bei lang anhaltenden Untersuchungen zu beobachten sind, ohne dass sie hier zur Fortpflanzung schreiten, nur begrenzt einsetzbar. Mit Hilfe von Larvenuntersuchungen läßt sich der zeitliche Aufwand wesentlich reduzieren. An kleineren Gewässern ist eine vollständige Erfassung bereits bei einer einmaligen Untersuchung möglich. Von den untersuchten Gewässern blieben 13 % ohne Nachweis von Libellenarten, fast 34 % waren nur von Aeshna cvanea besiedelt und in immerhin 16 % waren nur 2 Arten nachweisbar, wobei die Vergesellschaftung von A. cyanea und Pyrrhosoma nympula mit Abstand überwog. An den Gewässern mit 3-5 Arten sind neben den genannten Arten vor allem die häutigen Arten Ischnura elegans, Coenagrion puella und Libellula depressa vertreten. Der Agrellsche Index gibt die Antreffwahrscheinlichkeit eines Artenpaares im Untersuchungsgebiet wieder. Assoziationskoeffizienten, die die unterschiedliche Häufigkeit der Arten berücksichtigen, und statistisch prüfbar sind, zeigen ein differenzierteres Bild des gemeinsamen Auftretens von Libellenarten. Die statistische Prüfung und anschließende „recurrent group“-Analyse läßt 3 Assoziationsgruppen (recurrent groups) stehender Kleingewässer erkennen, deren Arten untereinander ein hohes Maß an Treue besitzen, offenbart aber auch die ökologische Sonderstellung von Ischnura pumilio, Sympetrum flaveolum, Somatochlora metallica sowie der beiden „Allerweltsarten“ A. cyanea und P. nymphula. Eine Reproduzierbarkeit der Artengruppen scheint innerhalb gewisser geographischer Grenzen gewährleistet. Die Abgrenzung solcher Assoziationsgruppen kann eine autökologische Kausalanalyse der beteiligten Arten nicht ersetzen.
Targeting Cysteine Proteases and their Inhibitors to Combat
Trypanosomiasis
Authors: Saha Aloke , Pushpa  , Moitra Susmita , Basak Deblina , Brahma Sayandeep , Mondal Dipu , Molla Sabir Hossen , Samadder Asmita , Nandi Sisir 
Published: June 2023

Background:
Trypanosomiasis, caused by protozoan parasites of the Trypanosoma genus,
remains a significant health burden in several regions of the world. Cysteine proteases play a
crucial role in the pathogenesis of Trypanosoma parasites and have emerged as potential therapeutic
targets for the development of novel antiparasitic drugs.

Introduction:
This review article aims to provide a comprehensive overview of the role of cysteine proteases
in trypanosomiasis and their potential as therapeutic targets. We discuss the biological significance of
cysteine proteases in Trypanosoma parasites and their involvement in essential processes, such as host
immune evasion, cell invasion, and nutrient acquisition.

Methods:
A comprehensive literature search was conducted to identify relevant studies and research
articles on the role of cysteine proteases and their inhibitors in trypanosomiasis. The selected studies
were critically analyzed to extract key findings and provide a comprehensive overview of the topic.

Results:
Cysteine proteases, such as cruzipain, TbCatB and TbCatL, have been identified as promising
therapeutic targets due to their essential roles in Trypanosoma pathogenesis. Several small molecule
inhibitors and peptidomimetics have been developed to target these proteases and have shown
promising activity in preclinical studies.

Conclusion:
Targeting cysteine proteases and their inhibitors holds great potential for the development
of novel antiparasitic drugs against trypanosomiasis. The identification of potent and selective
cysteine protease inhibitors could significantly contribute to the combat against trypanosomiasis and
improve the prospects for the treatment of this neglected tropical disease.