bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bubble CPAP respiratory support devices for infants in low‐resource settings
Authors: Poletto Sofia , Trevisanuto Daniele , Ramaswamy Viraraghavan V. , Seni Amir Hussein Abubacar , Ouedraogo Paul , Dellacà Raffaele L. , Zannin Emanuela 
Published: December 2022

AbstractApproximately 46% of the 5.2 million annual under‐5 deaths derive from neonatal conditions commonly associated with hypoxemia or acute respiratory distress. It has been estimated that 98% of these deaths occur in low‐ and middle‐income countries (LMICs). Effective implementation of noninvasive respiratory support at all levels of healthcare could significantly reduce neonatal mortality. Several factors limit the widespread and effective implementation of noninvasive respiratory support in LMICs, including inadequate infrastructure, lack of proper instrumentation, shortage of skilled staff, costly disposables, and difficulties in the supply of consumables and spare parts. The aim of this state‐of‐the‐art paper is to provide a detailed evaluation of the commercially available devices providing noninvasive respiratory support in LMICs, focusing on bubblecontinuous positive airway pressure (bCPAP). bCPAP might be administrated using a variety of different commercial devices, including devices specifically designed for LMICs, as well as using self‐made systems. We described all the equipment required for safe and effective implementation of bCPAP, including air and oxygen sourced, pressure‐reducing valves and flowmeters, air‐oxygen blending systems, humidifiers, respiratory support devices, patient circuits, and airway interfaces. Specifically, we critically evaluated the advantages and disadvantages of various existing solutions within the context of low‐resource settings.
A survey assessing the impact of COVID‐19 and elexacaftor/tezacaftor/ifavacaftor on both physical and mental health in adults with cystic fibrosis
Authors: Sakon Colleen , Vogt Hilary , Brown Cynthia D. , Tillman Emma M. 
Published: December 2022

AbstractIn this letter to the editor, we report 82 persons with CF (PwCF) self‐reported changes in mental and physical health and potential attribution with either the COVID‐19 pandemic and the initiation elexacaftor/tezacaftor/ivacaftor (ETI). Emerging evidence has shown an association with ETI and mental health adverse events. The close proximity of ETI FDA approval and prescribing in PwCF and the COVID‐19 pandemic present a challenge in determining the cause of mental health decline. We report 33 (40%) of respondents felt that COVID‐19 contributed to a worsening of either their anxiety, depression, or both and 7 (9%) of respondents felt that ETI contributed to a worsening in their anxiety, depression, or both. Eighteen (23%) of respondents felt that ETI had contributed to improvement their mental health. This letter highlights multiple factors that could be impacting mental health beyond ETI. As the COVID‐19 pandemic is moving toward an endemic phase, future studies may have more success in deciphering ETI effects on mental health.
Graph identification of proteins in tomograms (GRIP‐Tomo)
Authors: George August , Kim Doo Nam , Moser Trevor , Gildea Ian T. , Evans James E. , Cheung Margaret S. 
Published: December 2022

AbstractIn this study, we present a method of pattern mining based on network theory that enables the identification of protein structures or complexes from synthetic volume densities, without the knowledge of predefined templates or human biases for refinement. We hypothesized that the topological connectivity of protein structures is invariant, and they are distinctive for the purpose of protein identification from distorted data presented in volume densities. Three‐dimensional densities of a protein or a complex from simulated tomographic volumes were transformed into mathematical graphs as observables. We systematically introduced data distortion or defects such as missing fullness of data, the tumbling effect, and the missing wedge effect into the simulated volumes, and varied the distance cutoffs in pixels to capture the varying connectivity between the density cluster centroids in the presence of defects. A similarity score between the graphs from the simulated volumes and the graphs transformed from the physical protein structures in point data was calculated by comparing their network theory order parameters including node degrees, betweenness centrality, and graph densities. By capturing the essential topological features defining the heterogeneous morphologies of a network, we were able to accurately identify proteins and homo‐multimeric complexes from 10 topologically distinctive samples without realistic noise added. Our approach empowers future developments of tomogram processing by providing pattern mining with interpretability, to enable the classification of single‐domain protein native topologies as well as distinct single‐domain proteins from multimeric complexes within noisy volumes.
On the plasticity of amyloid formation: The impact of destabilizing small to large substitutions on islet amyloid polypeptide amyloid formation
Authors: Manathunga Lakshan , Akter Rehana , Zhyvoloup Alexander , Simmerling Carlos , Raleigh Daniel P. 
Published: December 2022

AbstractAmyloids are partially ordered, proteinaceous, β‐sheet rich deposits that have been implicated in a wide range of diseases. An even larger set of proteins that do not normally form amyloid in vivo can be induced to do so in vitro. A growing number of structures of amyloid fibrils have been reported and a common feature is the presence of a tightly packed core region in which adjacent monomers pack together in extremely tight interfaces, often referred to as steric zippers. A second common feature of many amyloid fibrils is their polymorphous nature. We examine the consequences of disrupting the tight packing in amyloid fibrils on the kinetics of their formation using the 37 residue polypeptide hormone islet amyloid polypeptide (IAPP, amylin) as a model system. IAPP forms islet amyloid in vivo and is aggressively amyloidogenic in vitro. Six Cryo‐EM structures of IAPP amyloid fibrils are available and in all Gly24 is in the core of the structured region and makes tight contacts with other residues. Calculations using the ff14SBonlysc forcefield in Amber20 show that substitutions with larger amino acids significantly disrupt close packing and are predicted to destabilize the various fibril structures. However, Gly to 2‐amino butyric acid (2‐carbon side chain) and Gly to Leu substitutions actually enhance the rate of amyloid formation. A Pro substitution slows, but does not prevent amyloid formation.
Nocturnal tidal barrier management improves glass eel migration in times of drought and salinization risk
Authors: Van Wichelen Jeroen , Buysse David , Verhelst Pieterjan , Belpaire Claude , Goegebeur Maarten , Vlietinck Kristof , Coeck Johan 
Published: December 2022

AbstractAdjusted tidal barrier management (ATBM, setting tidal doors ajar during tidal rise) is currently applied in Belgium to improve glass eel passage through tidal gates. However, salt intrusion in the receiving waters due to upwelling and accumulation of saline groundwater as a result of intensive drought put severe pressure on the unrestrained use of this cost‐efficient mitigation measure. We evaluated the efficacy of a very restricted ATBM at a tidal barrier on a small canalized waterway, located 3.5 km from the sea: one out of seven gate doors was left 20 cm ajar for ca. 30 min when the water levels on both sides of the tidal barrier were approximately equal. During 20 inflow events differing in tidal flow (i.e., flood or ebb tide) and daytime (i.e., day or night) in March/April 2019, migrating glass eels were caught with a fyke net fixed on the temporally opened gate. In total, 12,853 glass eels were captured, almost all during flood tides at night (96%), with a maximum catch of 3,827 individuals per inflow event. These results show that even small windows of opportunity can help glass eels pass tidal barriers.
Nickel‐mediated Ortho C(sp2)−H Alkoxylation of Amides
Authors: Xu Peng , Tang Ying‐Ying , Chen Yi‐Tian , Bai Ji‐Rong , Zhou Pin , Wang Ling‐ling , Sun Xiao‐Nan , Zhou Quan‐Fa 
Published: December 2022

AbstractIn this paper, we described nickel‐mediated C(sp2)−H alkoxylation of amide directed by the bidentate auxiliary directing group. The method was proved efficiently to achieve alkoxide derivatives by available alcohol as substrate. We verified the protocol exhibited good yields, which showed great functional group compatibility and broad‐range substrate.
Green Synthesis of Dihydropyrimido[4,5‐b]quinolinetriones by Sulfonic Acid‐Functionalized Silica‐Coated CoFe2O4 as a Solid Acid Nanocatalyst under Thermal and Ultrasonic Conditions
Authors: Mahdipour Pegah , Moradi Leila , Mirzaie Mahdi 
Published: December 2022

AbstractSulfonic acid functionalized silica coated cobalt ferrite nanoparticles (CoFe2O4/SiO2−SO3H) was prepared as an efficient solid acid catalyst for the green synthesis of dihydropyrimido[4,5‐b]quinolinetrione derivatives. CoFe2O4 NPs were prepared by co‐precipitation method and then the silica‐coated CoFe2O4 NPs were modified with chlorosulfonic acid. Obtained CoFe2O4/SiO2−SO3H was characterized by thermo gravimetric analysis (TGA), Fourier transform‐infrared spectroscopy (FT‐IR), scanning electron microscope (SEM), energy‐dispersive X‐ray spectroscopy (EDX), X‐ray diffraction (XRD) and vibrating‐sample magnetometer (VSM). The magnetically separable CoFe2O4/SiO2−SO3H was successfully used for the four component reaction of barbituric acid, dimedone, amines (or ammonium acetate) and benzaldehyde derivatives for the synthesis of dihydropyrimido[4,5‐b]quinolinetriones under thermal and ultrasound conditions. The advantages of presented simple protocol are the easily separation of magnetic catalyst from the reaction medium by an external magnet, short reaction times, green reaction conditions in addition to simple workup and high yield of products.
Software assistants in software engineering: A systematic mapping study
Authors: Savary‐Leblanc Maxime , Burgueño Lola , Cabot Jordi , Le Pallec Xavier , Gérard Sébastien 
Published: December 2022

AbstractThe increasing essential complexity of software systems makes current software engineering methods and practices fall short in many occasions. Software assistants have the ability to help humans achieve a variety of tasks, including the development of software. Such assistants, which show human‐like competences such as autonomy and intelligence, help software engineers do their job by empowering them with new knowledge. This article investigates the research efforts that have been conducted on the creation of assistants for software design, construction and maintenance paying special attention to the user‐assistant interactions. To this end, we followed the standard systematic mapping study method to identify and classify relevant works in the state of the art. Out of the 7580 articles resulting from the automatic search, we identified 112 primary studies that present works which qualify as software assistants. We provide all the resources needed to reproduce our study. We report on the trends and goals of the assistants, the tasks they perform, how they interact with users, the technologies and mechanisms they exploit to embed intelligence and provide knowledge, and their level of automation. We propose a classification of software assistants based on interactions and present an analysis of the different automation patterns. As outcomes of our study, we provide a classification of software assistants dealing with the design, construction and maintenance phases of software development, we discuss the results, identify open lines of work and challenges and call for new innovative and rigorous research efforts in this field.
Basis for calculation the residual mechanical properties of corroding bars
Authors: Andrade Carmen , Oller Sergio , Trujillo Francisco‐Javier Perez 
Published: December 2022

AbstractCorrosion of steel reinforcement is known to affect the residual bearing capacity of the structure. The loss of metal supposes a decrease of the sectional area of the reinforcing bar, either homogeneously distributed or concentrated in some zones. The morphology of the corroded area is a critical issue because while the uniform loss is influencing the steel strength, when it is localized also the ductility is reduced due the local stress concentration. There are previous publications showing the impact of corrosion on some mechanical aspects of the steel as on the ductility, the strength or the elastic modulus, but still we lack of a comprehensive framework of all types of corrosion. In this work a classification is made of the types of damages for better assessing their consequences. Further, through application of basic classical mechanics are given expressions to calculate the “corrosion factor” related to the yield strength, the ultimate strength, the elastic modulus and the elongation (ductility). Finally, through fracture mechanics and an energetic approach are given the expressions for the critical stress intensity factor and the “apparent” residual section “loss” of the corroded steel bars.
Effect of concrete edge distance on the hysteretic response of roof joint
Authors: Cui Yao , Manzoor Mir Majaid , Liu Hongtao , Yamada Satoshi 
Published: December 2022

SummaryRoof joint connects the upper roof structure to the lower RC columns in large‐span structures. However, during several earthquakes, concrete edge failure of roof joint observed in several previous earthquakes shows potential collapse damage of the large‐span structures. This paper presents an experimental and numerical study on the performance of roof joints under quasi‐static cyclic loading. The effects of concrete edge distance of anchor rods and using horizontally slotted holes in the base plate were investigated and discussed by means of ultimate shear resistances, failure modes, hysteretic responses, anchor strains, and stirrup strains. It was found that concrete edge failure was prone to occur if the edge distance was taken as per current design practice. However, with the use of slotted holes in the base plate, the concrete edge failure could be suppressed due to the sliding between the base plate and the mortar layer. A refined theoretical model was proposed to evaluate the ultimate shear resistance and predict the failure mode. Finite Element Models (FEMs) were also developed to verify the proposed theoretical model in terms of the ultimate shear resistance and the failure mode under both monotonic and cyclic loading.
Lanthanide Complexes (Ln=La, Nd, Dy) of Octaethyl propane‐1,1,3,3‐tetrayltetrakis(phosphonate): Multidentate Binding Competing with Monodentate DMSO Complexes
Authors: Koehne Ingo , Pietschnig Rudolf 
Published: December 2022

AbstractThe preparation of lanthanide nitrate complexes [Ln(NO3)3{L}]n (Ln3+=La, Nd, Dy) supported by the octaethyl propane‐1,1,3,3‐tetrayltetrakis(phosphonate) (L) chelate ligand platform is presented. Re‐crystallization of these compounds from DMSO/THF led to a complete replacement of the multidentate phosphonate ester ligand and the formation of exclusively DMSO‐supported lanthanide nitrate species [Ln(NO3)3(DMSO)4]. The relative basicity of a model phosphonate ester vs. DMSO is explored with theoretical means, pointing out the relevance of solvation in this case in line with the experimentally observed exchange process. The optical properties of the dysprosium(III) derivatives are examined in the visible region indicating a significantly higher quantum yield for its tetraphosphonic ester complex than for the DMSO coordinated analog.
Reindeer Husbandry in the Circumpolar North
Authors: Mathiesen Svein Disch 
Published: December 2022

AbstractReindeer husbandry is the primary livelihood for over 24 Indigenous peoples. Reindeer herding culture and civilization are unique in the Arctic; today, however, they no longer form the foundation for economies of the Indigenous peoples in some Circumpolar regions. Modern reindeer husbandry is experiencing challenges such as climate change, loss of pastures, loss of languages and cultures, and opportunities through new technologies. This chapter introduces reindeer husbandry, Indigenous leadership, traditional knowledge, and adapting capacity discussed further in this volume.
Framing Adaptation to Rapid Change in the Arctic
Authors: Tonkopeeva Marina , Corell Robert W. , Maynard Nancy G. , Turi Ellen Inga , Eira Inger Marie Gaup , Oskal Anders , Mathiesen Svein Disch 
Published: December 2022

AbstractA safe operating space for Indigenous reindeer herders in the Circumpolar North must be the main priority for the governance of the Arctic and sub-Arctic territories in times of rapid changes on reindeer pastures. It also includes establishing reindeer herders’ adaptive capacity to these changes. Anthropogenic impact on the earth system has reached a scale where it is no longer possible to exclude abrupt global environmental change. Indigenous reindeer herders’ sustainability implies adaptive capacity that allows reindeer herders to operate safely. The Intergovernmental Panel on Climate Change highlights that the protection of grazing lands represents the most important adaptive strategy for reindeer herders under climate change. While the Arctic is rapidly integrating into the global economy, reindeer herders must face multiple socio-economic conditions and effects of assimilation past and present. This chapter addresses adaptation perspectives important for the future of reindeer husbandry and frames adaptation to rapid change for reindeer husbandry via Indigenous perspectives, insights, and knowledge.
Research and Practice of TCP Protocol Optimization in Mobile Internet
Authors: Lan Shizhan , Ma Lifang , Huang Jing 
Published: December 2022

AbstractThis paper analyzes the problems of traditional TCP protocol in the wireless network environment and proposes a scheme based on performance-enhancing agents, which is more suitable for the actual situation of current wireless core networks. TCP application optimization was employed to enhance congestion control. Based on the automatic learning mechanism of network path features, this paper proposes herein the dynamic algorithm ZetaTCP. In practice, the performance enhancement agent based on ZetaTCP In practice, the performance enhancement proxy based on ZetaTCP was verified and achieves good results in LTE networks. In practice, the performance enhancement proxy based on ZetaTCP was verified and achieved good results in the LTE network.
Research on the Recognition of Internet Buzzword Features Based on Transformer
Authors: Xu Dawei , She Yijie , Tan Zhonghua , Li Ruiguang , Zhao Jian 
Published: December 2022

AbstractAccurate identification of Internet buzzwords plays an important role in positive Internet opinion guidance. A Transformer-based Internet buzzword feature recognition system was designed to address this problem. The traditional way of crawling data has been improved, a real-time crawling module has been added, and an Internet buzzword corpus has been constructed by itself. The traditional way of crawling data has been improved, a real-time crawling module has been added, and an Internet buzzword corpus has been constructed by itself. Traditional machine learning models suffer from gradient disappearance and gradient explosion, the Transformer model, with its parallel computing and self-attentive mechanism, is a good solution to these problems, and its bi-directional connection allows the parameters of the context to be updated uniformly, thus allowing better aggregation of information and solving the problem of scattered contextual information. Transformation of the position-encoded part of the Transformer model starts with a relative position representation (RPR). It compensates for its inability to obtain relative location information. The experimental results show that the improved Transformer model can achieve an accuracy rate of 90.1%, a recall rate of 92.13%, and an F1 value of 91.16% in recognizing Internet buzzwords.
Considerations on Evaluation of Practical Cloud Data Protection
Authors: Mei Rui , Yan Han-Bing , He Yongqiang , Wang Qinqin , Zhu Shengqiang , Wen Weiping 
Published: December 2022

AbstractWith the continuous growth of enterprises’ digital transformation, business-driven cloud computing has seen tremendous growth. The security community has proposed a large body of technical mechanisms, operational processes, and practical solutions to achieve cloud security. In addition, diverse jurisdictions also present regulatory requirements on data protection to mitigate possible risks, for instance, unauthorized access, data leakage, sensitive information and privacy disclosure. In view of this, several practical standards, frameworks, and best practices in the industry are proposed to evaluate and improve the protection level of cloud data. However, few evaluation models can conduct a comprehensive quantitative evaluation for cloud data protection that includes security, privacy, and even ethical considerations. In this paper, we first make a comprehensive review of cloud data security and privacy issues, especially also including ethical concerns that we consider as a type of specific risks caused by human factors, which refers to acting honorably, honestly, justly, and legally, due diligence, and due care. Then, we propose a novel evaluation model for cloud data protection that can quantitatively assess the protection level. Finally, based on the parallel evaluation between manual assessment by experts and our evaluation model, results show that our evaluation model is consistent with the manual evaluation conclusion.
Anomaly Detection of E-commerce Econnoisseur Based on User Behavior
Authors: Long Yangyu , Zhao Wei , Yang Jilong , Deng Jincheng , Liu Fangming 
Published: December 2022

AbstractEconnoisseur refers to users who obtain high returns from the Internet at low cost. It is of great significance for platform to identify econnoisseur to reduce unnecessary losses. At present, econnoisseur is mainly intercepted by rules. This method will fail when the new get the best deal method appears, and there is a certain lag. This paper identifies the econnoisseur from Knownsec Security Intelligence Brain’s e-commerce website visitors. First of all, it is found that the precision and recall of the Isolation Forest are better than the Local Outlier Factor and DBSCAN in econnoisseur detection. Secondly, we merged the similar URLs visited by users with Bi-directional Long Short-Term Memory (BiLSTM), then use the merged data in Isolation Forest Model. It is found that the improved Isolation Forest model based on BiLSTM can further improve the detection ability. Practical case studies showed that this method has certain validity and reference for the detection of econnoisseur.