bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive data set of physical and human-dimensional attributes for China’s lake basins
Authors: Chen Tan , Song Chunqiao , Fan Chenyu , Cheng Jian , Duan Xuejun , Wang Lei , Liu Kai , Deng Shulin , Che Yue 
Published: August 2022

AbstractLakes provide water-related ecosystem services that support human life and production. Nevertheless, climate changes and anthropogenic interventions remarkably altered lake and basin hydrology in recent decades, which pose a significant threat to lacustrine ecosystems. Therefore, assessments of lacustrine ecosystems require the spatial and temporal characteristics of key physical and human-dimensional attributes for lakes and lake basins. To facilitate stakeholders obtaining comprehensive data of lake basins in China, we compiled the comprehensive data set for China’s lake basins (CODCLAB) mostly from publicly available data sources based on spatial analysis and mathematical statistics methods in this study. The CODCLAB is available in three data formats, including raster layers (Level 1) in “tiff” format, vector shapefiles (Level 2), and attribute tables (Level 3). It covers 767 lakes (>10 km2) in China and their basin extent associating with 34 variables organized into five categories: Hydrology, Topography, Climate, Anthropogenic, and Soils. This unique database will provide basic data for research on the physical processes and socioeconomic activities related to these lakes and their basins in China and expect to feed a broad user community for their application in different areas.
Australian wildfires cause the largest stratospheric warming since Pinatubo and extends the lifetime of the Antarctic ozone hole
Authors: Damany-Pearce Lilly , Johnson Ben , Wells Alice , Osborne Martin , Allan James , Belcher Claire , Jones Andy , Haywood Jim 
Published: August 2022

AbstractGlobal mean lower stratosphere temperatures rose abruptly in January 2020 reaching values not experienced since the early 1990s. Anomalously high lower stratospheric temperatures were recorded for 4 months at highly statistically significant levels. Here, we use a combination of satellite and surface-based remote sensing observations to derive a time-series of stratospheric biomass burning aerosol optical depths originating from intense SouthEastern Australian wildfires and use these aerosol optical depths in a state-of-the-art climate model. We show that the S.E. Australian wildfires are the cause of this lower stratospheric warming. We also investigate the radiatively-driven dynamical response to the observed stratospheric ozone perturbation and find a significant strengthening of the springtime Antarctic polar vortex suggesting that biomass burning aerosols play a significant role in the observed anomalous longevity of the ozone hole in 2020.
Nanosheet-type tin oxide gas sensor array for mental stress monitoring
Authors: Choi Pil Gyu , Masuda Yoshitake 
Published: August 2022

AbstractMental stress management has become significantly important because excessive and sustained mental stress can damage human health. In recent years, various biomarkers associated with mental stress have been identified. One such biomarker is allyl mercaptan. A nanosheet-type tin oxide exhibited high gas selectivity for allyl mercaptan; thus, in this study, a sensor array comprising nanosheet-type tin oxide gas sensors was fabricated to detecting allyl mercaptan. Supervised learning algorithms were use to build gas classification models based on the principal component analysis of the sensor signal responses from the sensor array. The comprehensive data provided by the classification models can be used to forecast allyl mercaptan with high accuracy.
Resting-state functional connectivity does not predict individual differences in the effects of emotion on memory
Authors: Kandaleft Dona , Murayama Kou , Roesch Etienne , Sakaki Michiko 
Published: August 2022

AbstractEmotion-laden events and objects are typically better remembered than neutral ones. This is usually explained by stronger functional coupling in the brain evoked by emotional content. However, most research on this issue has focused on functional connectivity evoked during or after learning. The effect of an individual’s functional connectivity at rest is unknown. Our pre-registered study addresses this issue by analysing a large database, the Cambridge Centre for Ageing and Neuroscience, which includes resting-state data and emotional memory scores from 303 participants aged 18–87 years. We applied regularised regression to select the relevant connections and replicated previous findings that whole-brain resting-state functional connectivity can predict age and intelligence in younger adults. However, whole-brain functional connectivity predicted neither an emotional enhancement effect (i.e., the degree to which emotionally positive or negative events are remembered better than neutral events) nor a positivity bias effect (i.e., the degree to which emotionally positive events are remembered better than negative events), failing to support our pre-registered hypotheses. These results imply a small or no association between individual differences in functional connectivity at rest and emotional memory, and support recent notions that resting-state functional connectivity is not always useful in predicting individual differences in behavioural measures.
SARS-CoV-2 genome variations and evolution patterns in Egypt: a multi-center study
Authors: Jalal Deena , Elzayat Mariam G. , El-Shqanqery Hend E. , Diab Aya A. , Yahia Abdelrahman , Samir Omar , Bakry Usama , Amer Khaled , ElNaqeeb Mostafa , Hassan Wael , Talat Hala S. , Farawela Hala M. , Hamdy Mona S. , Soliman May S. , El Sissy Maha H. , Ezzelarab Moushira H. , El khateeb Sara M. , Soliman Lamyaa H. , Haddad Sara E. , Hatem Ashraf , Ismail Mohamed S. , Hossam Maha , Mansour Tarek , Shalaby Lobna , Soliman Sonia , Hassan Reem , Hammad Mahmoud , Abdo Ibrahim , Magdeldin Sameh , ElHaddad Alaa , Abouelnaga Sherif , Sayed Ahmed A. 
Published: August 2022

AbstractA serious global public health emergency emerged late November 2019 in Wuhan City, China, by a new highly pathogenic virus, SARS-CoV-2. The virus evolution spread has been tracked by three developing databases: GISAID, Nextstrain and PANGO to understand its circulating variants. In this study, 110 diagnosed positive COVID-19 patient’s samples, were collected from Kasr Al-Aini Hospital and the Children Cancer Hospital Egypt 57357 between May 2020 and January 2021, with clinical severity ranging from mild to severe. The viral genomes were sequenced by next generation sequencing, and phylogenetic analysis was performed to understand viral transmission dynamics. According to Nextstrain clades, most of our sequenced samples belonged to clades 20A and 20D, which in addition to clade 20B were present from the beginning of sample collection in May 2020. Clades 19A and 19B, on the other hand, appeared in the mid and late 2020 respectively, followed by the disappearance of clade 20B at the end of 2020. We identified a relatively high prevalence of the D614G spike protein variant and novel patterns of mutations associated together and with different clades. We also identified four mutations, spike H49Y, ORF3a H78Y, ORF8 E64stop and nucleocapsid E378V, associated with higher disease severity. Altogether, our study contributes genetic, phylogenetic, and clinical correlation data about the spread of the SARS-CoV-2 pandemic in Egypt.
A patient-cohort study of numerical analysis on sacroiliac joint stress distribution in pre- and post-operative hip dysplasia
Authors: Toyohara Ryota , Kaneuji Ayumi , Takano Noriyuki , Kurosawa Daisuke , Hammer Niels , Ohashi Toshiro 
Published: August 2022

AbstractIn acetabular dysplasia, the cartilaginous roof on the acetabular side does not fully cover the femoral head, which may lead to abnormal stress distribution in both the femoral head and pelvis. These stress changes may have implications to the adjacent sacroiliac joint (SIJ). The SIJ has a minimal range of motion and is closely coupled to the adjacent spine and pelvis. In consequence, the SIJ may react sensitively to changes in stress distribution at the acetabulum, with hypermobility-induced pain. The purpose of this study was to investigate the stress distribution of the SIJ in acetabular dysplasia, and to gain insight into the cause and mechanisms of hypermobility-induced pain at the SIJ. Finite element models of pre- and postoperative pelves of four patients with acetabular dysplasia were created and analyzed in double leg standing positions. The preoperative models were relatively inflare, the sacral nutation movement, SIJ cartilage equivalent stress, and the load on the surrounding ligaments decreased with increased posterior acetabular coverage. Acetabular morphology was shown to affect the SIJ, and improvement of the posterior acetabular coverage may help normalize load transmission of the pelvis and thus improve the stress environment of the SIJ in acetabular dysplasia.
Plant health index as an anomaly detection tool for oil refinery processes
Authors: Al-Anzi Fawaz S. , Lababidi Haitham M. S. , Al-Sharrah Ghanima , Al-Radwan Suad A. , Seo Ho Joon 
Published: August 2022

AbstractEarly detection of significant abnormal changes is highly desirable for oil refinery processes, which consist of sophisticated unit operations handling hazardous and flammable inventories and operating at high temperature and pressure. Close monitoring and anomaly detection are vital for avoiding major accidents and losses and enable intervention before failure occurrence. A new big data analytics tool called Plant Health Index (PHI) is proposed in this work. PHI is a statistical anomaly detection software that trains its model using online normal plant operation, then uses statistical analytics to detect anomalies. For detecting the anomalies, a combined method of multivariate analysis of residuals and nonparametric models of the process is employed. The methodology provides a structured representation of the plant variables to ease the detection of problems along with the detection of operation changes of the system. The PHI system has been tested on a hydrotreating units in a refinery, which consists of catalytic reactors and separators. The current implementation tagged 170 process variables and proved effective in capturing the normal operational conditions of the plant. When placed online, PHI was able of detecting anomalies that are difficult to detect using the control system and before being detected by the alarm system.
The safety and feasibility of laparoscopic approach for the management of intrahepatic and extrahepatic bile duct stones in patients with prior biliary tract surgical interventions
Authors: Liu Ying-Yu , Li Tian-Yu , Wu Shuo-Dong , Fan Ying 
Published: August 2022

AbstractThe purpose of this study was to compare the efficacy and safety of laparoscopic and open reoperation for intrahepatic and extrahepatic bile duct stones patients with previous biliary tract surgical procedures. The clinical data were retrospectively analyzed of intrahepatic and extrahepatic bile duct stones patients with previous biliary tract surgical procedures who underwent reoperation in the Second General Surgery Department of China Medical University from January 2012 to February 2018. 44 eligible cases were selected. In accordance with the surgical procedures, they were divided into a laparoscopy group (n = 23) and an open surgery group (n = 21). No statistically significant differences were found in the preoperative general clinical data between the two group. Two patients in the laparoscopy group were converted to open surgery. Comparisons between the two groups showed that the intraoperative blood loss [90.87 ± 62.95 (ml) vs. 152.38 ± 118.82 (ml)], the proportion of postoperative analgesia [10/23 (43.5%) vs. 16/21 (76.2%)], and the length of stay [7.19 ± 5.32 (d) vs. 11.00 ± 4.66 (d)] in the laparoscopy group were significantly lower than those in the open surgery group (P < 0.05). Laparoscopic biliary reoperation for intrahepatic and extrahepatic bile duct stones was feasible. Compared with open surgery, laparoscopic surgery has the advantages of less bleeding, a shorter postoperative length of stay, and a lower rate of additional postoperative analgesia.
Predicting genes associated with RNA methylation pathways using machine learning
Authors: Tsagkogeorga Georgia , Santos-Rosa Helena , Alendar Andrej , Leggate Dan , Rausch Oliver , Kouzarides Tony , Weisser Hendrik , Han Namshik 
Published: August 2022

AbstractRNA methylation plays an important role in functional regulation of RNAs, and has thus attracted an increasing interest in biology and drug discovery. Here, we collected and collated transcriptomic, proteomic, structural and physical interaction data from the Harmonizome database, and applied supervised machine learning to predict novel genes associated with RNA methylation pathways in human. We selected five types of classifiers, which we trained and evaluated using cross-validation on multiple training sets. The best models reached 88% accuracy based on cross-validation, and an average 91% accuracy on the test set. Using protein-protein interaction data, we propose six molecular sub-networks linking model predictions to previously known RNA methylation genes, with roles in mRNA methylation, tRNA processing, rRNA processing, but also protein and chromatin modifications. Our study exemplifies how access to large omics datasets joined by machine learning methods can be used to predict gene function.
The membrane-active polyaminoisoprenyl compound NV716 re-sensitizes Pseudomonas aeruginosa to antibiotics and reduces bacterial virulence
Authors: Wang Gang , Brunel Jean-Michel , Preusse Matthias , Mozaheb Negar , Willger Sven D. , Larrouy-Maumus Gerald , Baatsen Pieter , Häussler Susanne , Bolla Jean-Michel , Van Bambeke Françoise 
Published: August 2022

AbstractPseudomonas aeruginosais intrinsically resistant to many antibiotics due to the impermeability of its outer membrane and to the constitutive expression of efflux pumps. Here, we show that the polyaminoisoprenyl compound NV716 at sub-MIC concentrations re-sensitizesP. aeruginosato abandoned antibiotics by binding to the lipopolysaccharides (LPS) of the outer membrane, permeabilizing this membrane and increasing antibiotic accumulation inside the bacteria. It also prevents selection of resistance to antibiotics and increases their activity against biofilms. No stable resistance could be selected to NV716-itself after serial passages with subinhibitory concentrations, but the transcriptome of the resulting daughter cells shows an upregulation of genes involved in the synthesis of lipid A and LPS, and a downregulation of quorum sensing-related genes. Accordingly, NV716 also reduces motility, virulence factors production, and biofilm formation. NV716 shows a unique and highly promising profile of activity when used alone or in combination with antibiotics againstP. aeruginosa, combining in a single molecule anti-virulence and potentiator effects. Additional work is required to more thoroughly understand the various functions of NV716.
Affinity of anti-spike antibodies to three major SARS-CoV-2 variants in recipients of three major vaccines
Authors: Macdonald Patrick J. , Schaub Jeffrey M. , Ruan Qiaoqiao , Williams Carroll L. , Prostko John C. , Tetin Sergey Y. 
Published: August 2022

Abstract
Background
Measuring anti-viral antibody affinity in blood plasma or serum is a rational quantitative approach to assess humoral immune response and acquired protection. Three common vaccines against SARS-CoV-2—Comirnaty developed by Pfizer/BioNTech, Spikevax developed by Moderna/NIAID, and Jcovden (previously Janssen COVID-19 Vaccine) developed by Johnson & Johnson/Janssen (J&J)—induce antibodies to a variety of immunogenic epitopes including the epitopes located in the ACE2 receptor-binding domain (RBD) of the spike protein. Blocking RBD with antibodies interferes with the binding of the virus to ACE2 thus protecting against infection.

Methods
We perform measurements in the serum of the recipients of Pfizer, Moderna, and J&J vaccines, and we compare the apparent affinities of vaccine-induced antibodies against the RBD of the ancestral SARS-CoV-2 virus and the Delta and Omicron variants. We use our recently published method to determine the apparent affinity of anti-spike protein antibodies directly in human serum. This involves probing antibody-antigen equilibria with a small number of antigen-coated magnetic microparticles and imaging them on a fluorescence microscope.

Results
Recipients of two-dose Pfizer and Moderna vaccines, as well as recipients of the single-dose J&J vaccine, develop high-affinity antibodies toward RBD derived from ancestral SARS-CoV-2. Affinities of these antibodies to Delta-RBD are approximately 10 times weaker, and even more drastically reduced (∼1000-fold) toward Omicron-RBD.

Conclusions
Vaccine-induced antibodies against ancestral SARS-CoV-2 RBD demonstrate ~10-fold and ~1000-fold weaker affinities toward Delta- and Omicron-RBD, respectively. Our approach offers a direct means for evaluating vaccine-induced adaptive immunity and can be helpful in designing or updating vaccines.
A direct field‐circuit coupled analytical modelling method for permanent magnet motor operation performance analysis
Authors: Zheng Bining , Zhang Zhen , Yan Dong , Shi Tingna , Xia Changliang 
Published: August 2022

AbstractIn this paper, the analytical relationship among supply voltage, current, and structure parameters of the permanent magnet (PM) motor is cleverly deduced by using an intermediate‐flux linkage. After further consideration of boundary conditions, the direct field‐circuit coupled analytical model in integrated matrix form is subsequently constructed. Using this model, the vector potentials and currents of the motor can be calculated simultaneously, and the electromagnetic performance, such as the output torque, winding flux linkage, and so on can be further calculated by the vector potentials. Because the control parameters and motor structure parameters are both considered in the derivation process, the proposed analytical model can be used to analyse the motor operation performance under different control strategies. Its validity is finally verified on a 10‐pole/12‐slot PM motor. The results of the proposed direct field‐circuit coupled analytical model are compared with those of field‐circuit coupled time‐stepping finite element model and experiment under speed‐current double closed‐loop and current closed‐loop control strategies, respectively. The results of the proposed model are proved well with finite element simulation and experimental results.
Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio‐based internet of things
Authors: Elhachmi Jamal 
Published: August 2022

AbstractCognitive Radio (CR) with other advancements such as the Internet of things and machine learning has recently emerged as the main involved technique to use spectrum in an efficient manner. It can access the spectrum in a fully dynamic way and exploit the unused spectrum resources without creating any harm to cognitive users. In this paper, the authors develop a CR access strategy founded on the implementation of an efficient Deep Multi‐user Reinforcement Learning algorithm based on a combination of a Deep neural network, Q‐learning, and cooperative multi‐agent systems. The proposed approach consists of two stages: the user choice algorithm to set up an agent's activation order, and the frequency choice method to select the optimal channel on the appropriate bandwidth. Reasonable implementation is proposed, and the obtained results demonstrate that the authors’ approach can improve wireless communication for all CR terminals. It shows satisfactory performances in terms of user satisfaction degree and the number of used channels and can keep the channel allocation plan always in the appropriate state.
An extendable soft‐switched high step‐up converter with near zero‐ripple input current suitable for fuel cell‐powered applications
Authors: Dezhbord Morteza , Babalou Milad , Mohseni Parham , Islam Md. Rabiul , Vafaei Lida Ebrahimi , Hosseini Seyed Hossein 
Published: August 2022

AbstractIn this paper, an extendable high step‐up topology is presented for the low input voltage applications, that is, fuel cell (FC) source. The proposed converter eliminates the pulsating input current and reduces the high input current ripple. Thus, the lifetime of this non‐linear source and energy flow is significantly improved. The high output voltage is achieved by using voltage multiplier cells (VMC) and a coupled inductor (CI) with reduced elements. Moreover, an auxiliary circuit is applied due to restoring the energy of leakage inductance in the CI. Therefore, not only all power switching devices are turned on under zero voltage switching (ZVS) but also the input current ripple is remarkably reduced to zero. Furthermore, normalized semiconductors’ voltage stresses are diminished. The reverse recovery problem of diodes and their turn‐off power losses at high frequencies are alleviated owing to their zero current switching (ZCS) turn‐off. In this paper, the performance of the proposed structure is investigated and compared with the traditional converters considering their voltage gain and voltage stress. Eventually, a 500‐W prototype of the proposed converter is built and tested to validate mathematical analyses.
Smart city technologies from the perspective of technology acceptance
Authors: Dirsehan Taşkın , van Zoonen Liesbet 
Published: August 2022

AbstractMost studies in the literature aim to discuss and examine the technologies in smart cities. Much less is known about the dynamics of their acceptance by citizens. Therefore, we conducted a systematic literature review of studies examining the acceptance of smart city technologies (SCTs), focussing particularly on Technology User Acceptance Models (TAM). Using a novel framework of SCTs based on the technology visibility and citizen interaction, we categorise them as individual‐based explicit SCTs, collective‐purpose explicit SCTs, digitising SCTs, and infrastructure SCTs. We assess that studies about citizen acceptation of SCTs have been mainly focussed on individual technologies. Also, the review shows that the field is nascent and fragmented, and that a wide variety of variables have been used to predict the adoption of individual‐based explicit SCTs, with the classic ones of TAM (perceived use and perceived usefulness) unmistakably being relevant in the smart city context as well. As a result of the fragmentation of the field, our review was not yet able to identify generalisable knowledge about the acceptance of the smart city and its technologies by citizens. We end with some suggestions for future research approaches and designs.