bluuebunny/crossref_metadata_2025_split huggingface dataset:
Double Sided Wideband Concentric Ring Spatial Filters for Mid-Band 5G Devices
Authors: Kapoor Ankush , Kumar Pradeep , Mishra Ranjan 
Published: November 2022

Abstract
This paper presents the methodology, development, and implementation of the double concentric ring band-pass frequency selective surface (FSS) based spatial filters. The filters are designed to improve the active responses of the 5G antennas by incorporating them as superstrate or as substrates. A comparable circuit model is used to anticipate the resonant frequency bands required for predicting the FSS band-pass behavior. The designed spatial filter is composed of a combination of periodic circular loop structures engraved on both sides of a thin dielectric substrate. The proposed design of a double circular loop FSS exhibits band-pass characteristics for n77, n78, and n79 bands of the mid-band 5G spectrum (ranging from 3 GHz - 6 GHz) and provides insensitivity to polarization angles of the incident plane wave. The computed, simulated, and measured findings are all depicting a similar pattern that validates our structure.
Searching the biophilic parameters for a township: A case study of Sentul City, West Java, Indonesia
Authors: Mardiastuti Ani 
Published: November 2022

Abstract
There has been a global attempt to evaluate and regenerate cities, residential areas, and building toward a more biophilic (‘connect with nature’) design, as an effort in promoting development based on environmental sustainability. The objective of the study was to search proper biophilic parameters to be applied for a township, and provide some necessary suggestions for the proposed parameters. Sentul City township was selected as a model to develop the parameters. Literature studies on biophilic design combined with an intensive field survey were performed to develop the parameters. Scales and parameters were developed accordingly. There were 37 parameters across four scales (entire township, building, block or cluster, household) and one sub-scale (neighbourhood) that were developed for the township being studied. Eight parameters were overlapped among the parameters, resulting in 29 non-overlapping parameters. To decrease some ambiguity and confusion, photos representing parameters of each scale were also included in this paper. Some parameters could be much more important than others, and thus weighting and standardization might be necessary in the later steps. As this result is still in embryonic stages, further development and elaboration of the parameters is still needed, involving many researchers and practitioners from relevant background.
Effect of intermediate annealing on microstructure and mechanical property of a Fe−19Mn−0.6C TWIP steel
Authors: Xue Hui , Yuan Hui , Guo Kai , Zhang Mengmeng 
Published: November 2022

Abstract
Annealing is an effective strategy to improve the properties of high-strength twin-induced plasticity (TWIP) steels, however, the adaption of intermediate annealing during cold rolling (CR) is scarcely studied. Here, the Fe-19Mn-0.6C TWIP steel was subjected to CR-annealing and CR-intermediate annealing-CR-annealing processes at room temperature to determine the role of intermediate annealing in the improvement of microstructure and mechanical properties. The total cold-rolled reduction in both processes is 75%. The morphological and phase characterizations of the TWIP steel annealed for 1 h showed that uneven element distribution had occurred as the annealing temperature was greater than the recrystallization start temperature, causing the presence of minor carbides. Moreover, the carbides vanished at the recrystallization end temperature and were quantitatively analyzed content via the refined XRD. Finally, the recrystallized austenite grains completely replaced the cold-deformed microstructures. At the same total CR reduction of 75%, the TWIP steel exerted intermediate annealing facilitates the formation of twins, endowing the tensile strength vast increase. This would provide a significant reference to improve the mechanical properties of steels via annealing.
Investigation on spheroidization of refractory tungsten powders by laminar DC plasma torch
Authors: Ma Y , Ke W , Yang K , Zhu X D 
Published: November 2022

Abstract
The spherical tungsten powders were prepared by a low-power DC laminar plasma torch. At a discharge current of 50 A, the tungsten powder fed downstream cannot be spheroidized by using Ar discharge, while a small number of spherical particles can be observed with upstream feeding. When N2 is added to the working gas, the input power is increased to maintain the same discharge current, which leads to the increase of plasma jet length, thereby expanding the effective high temperature region. Optical emission spectroscopy measurements show that the electron excitation temperature of N2-Ar mixed discharge is higher than that of argon discharge. In addition, compared with argon plasma, N2-Ar mixed gas plasma has larger thermal conductivity due to the molecular dissociation. Therefore, the heat is more efficiently transferred from the plasma to the tungsten particles. The improvement of plasma jet and heat transfer characteristics by introducing nitrogen into the discharge contributes to the increase of spheroidization rate. EDS analysis shows that the oxygen content in the tungsten particles decreases after spheroidization, which is caused by the evaporation of tungsten oxide during plasma treatment.
A study on methylene blue degradation: enhanced photocatalytic activity of Ag-ZnO nanocomposities
Authors: Sudhan N , Rathiha S K , Balasubramanian V , Pandiaraman M , Aravind D , Natarajan Varagunapandiyan , Ismail Mohamed A , G Vinodhkumar 
Published: November 2022

Abstract
Silver/Zinc Oxide nanocomposites (Ag-ZnO NCs) were fabricated by varying the weight percentages of both Ag and ZnO for investigating its photocatalytic activity. The structural, morphology and optical response of the prepared nanocomposites were examined with PXRD, FESEM, TEM, EDAX, XPS, FT-IR, UV–vis-DRS and PL spectroscopy. The effect of Ag and ZnO concentrations on these nanocomposites was examinedby analyzing thephotocatalytic activity towards Methylene Blue (MB) dye degradationunder the UV irradiation. The overall results suggested that, AZ1:1 NC achieved better photocatalytic activity than AZ1:2 and AZ2:1 composition. Therefore, the present study demonstrated the viability of the Ag-ZnO NCs in remediation of environmental pollutant and treatment of waste water.
Self-supervised learning of materials concepts from crystal structures via deep neural networks
Authors: Suzuki Yuta , Taniai Tatsunori , Saito Kotaro , Ushiku Yoshitaka , Ono Kanta 
Published: November 2022

Abstract
Material development involves laborious processes to explore the vast materials space. The key to accelerating these processes is understanding the structure-functionality relationships of materials. Machine learning has enabled large-scale analysis of underlying relationships between materials via their vector representations, or embeddings. However, the learning of material embeddings spanning most known inorganic materials has remained largely unexplored due to the expert knowledge and efforts required to annotate large-scale materials data. Here we show that our self-supervised deep learning approach can successfully learn material embeddings from crystal structures of over 120 000 materials, without any annotations, to capture the structure-functionality relationships among materials. These embeddings revealed the profound similarity between materials, or ‘materials concepts’, such as cuprate superconductors and lithium-ion battery materials from the unannotated structural data. Consequently, our results enable us to both draw a large-scale map of the materials space, capturing various materials concepts, and measure the functionality-aware similarities between materials. Our findings will enable more strategic approaches to material development.
NeuralNEB—neural networks can find reaction paths fast
Authors: Schreiner Mathias , Bhowmik Arghya , Vegge Tejs , Jørgensen Peter Bjørn , Winther Ole 
Published: November 2022

AbstractQuantum mechanical methods like density functional theory (DFT) are used with great success alongside efficient search algorithms for studying kinetics of reactive systems. However, DFT is prohibitively expensive for large scale exploration. Machine learning (ML) models have turned out to be excellent emulators of small molecule DFT calculations and could possibly replace DFT in such tasks. For kinetics, success relies primarily on the models’ capability to accurately predict the potential energy surface around transition-states and minimal energy paths. Previously this has not been possible due to scarcity of relevant data in the literature. In this paper we train equivariant graph neural network-based models on data from 10 000 elementary reactions from the recently published Transition1x dataset. We apply the models as potentials for the nudged elastic band algorithm and achieve a mean average error of 0.23 eV and root mean squared error of 0.52 eV on barrier energies on unseen reactions. We compare the results against equivalent models trained on QM9x and ANI1x. We also compare with and outperform Density Functional based Tight Binding on both accuracy and required computational resources. The implication is that ML models are now at a level where they can be applied to studying chemical reaction kinetics given a sufficient amount of data relevant to this task.
Evaluation of the Effectiveness of Behavioral Economic Incentive Programs for Goal Achievement on Healthy Diet, Weight Control and Physical Activity: A Systematic Review and Network Meta-analysis
Authors: Boonmanunt Suparee , Pattanaprateep Oraluck , Ongphiphadhanakul Boonsong , McKay Gareth , Attia John , Vlaev Ivo , Thakkinstian Ammarin 
Published: November 2022

AbstractBackgroundHealthy diet, weight control and physical activity to reduce obesity can be motivated by financial incentives (FI). Behavioral-economic approaches may improve the incentivization effectiveness. This study compares and ranks the effectiveness of standard and behavioral incentivization for healthy diet, weight control, and physical activity promotion.PurposeTo investigate whether behavioral-economic insights improve incentivization effectiveness.MethodsA systematic search of Medline and Scopus was performed from database inception to December 2020. Study characteristics, program designs, and risk ratio (RR) were extracted. A two-stage network meta-analysis pooled and ranked intervention effects.ResultsThere were 35 eligible RCTs. For diet-weight control, standard FI, deposit contract (deposit), lottery-based incentive (lottery), and standard-FI + lottery increased goal achievement compared to no-FI but only deposit was statistically significant with pooled RRs and 95% confidence intervals (CI) of 1.21 (0.94, 1.56), 1.79 (1.04, 3.05), 1.45 (0.99, 2.13), and 1.73 (0.83, 3.63). For physical activity, standard-FI, deposit, and lottery significantly increased goal achievement compared to no-FI, with pooled RRs of 1.38 (1.13, 1.68), 1.63 (1.24, 2.14) and 1.43 (1.14, 1.80), respectively. In a follow-up period for physical activity, only deposit significantly increased goal achievement compared to no-FI, with pooled RRs of 1.39 (1.11, 1.73).ConclusionDeposit, followed by lottery, were best for motivating healthy diet, weight control and physical activity at program end. Post-intervention, deposit then standard-FI were best for motivating physical activity. Behavioral insights can improve incentivization effectiveness, although lottery-based approaches may offer only short-term benefit regarding physical activity. However, the imprecise intervention effects were major concerns.
Type III effector provides a novel symbiotic pathway in legume–rhizobia symbiosis
Authors: Ratu Safirah Tasa Nerves , Amelia Lidia , Okazaki Shin 
Published: November 2022

ABSTRACT
Rhizobia form nodules on the roots of legumes and fix atmospheric nitrogen into ammonia, thus supplying it to host legumes. In return, plants supply photosynthetic products to maintain rhizobial activities. In most cases, rhizobial Nod factors (NFs) and their leguminous receptors (NFRs) are essential for the establishment of symbiosis. However, recent studies have discovered a novel symbiotic pathway in which rhizobia utilize the type III effectors (T3Es) similar to the pathogenic bacteria to induce nodulation. The T3Es of rhizobia are thought to be evolved from the pathogen, but they have a unique structure distinct from the pathogen, suggesting that it might be customized for symbiotic purposes. This review will focus on the recent findings from the study of rhizobial T3Es, discussing their features on a symbiont and pathogen, and the future perspectives on the role of rhizobial T3Es in symbiosis control technology.
Pseudomonas bohemica strain ins3 eliminates antibacterial hinokitiol from its culture broth
Authors: Machino Ken , Sakakibara Yoshimichi , Osada Kota , Ochiai Takahiro , Uraki Yasumitsu , Shigetomi Kengo 
Published: November 2022

ABSTRACT
A bacterial strain, Pseudomonas bohemica strain ins3 was newly isolated as a resistant strain against high concentrations of hinokitiol. This strain was revealed not only to show resistance but also completely remove this compound from its culture broth. In addition, its mechanism was revealed to be independent of conventional aromatic dioxygenases, ie catechol-1,2- or 2,3-dioxygenases.
Group social structure has limited impact on reproductive success in a wild mammal
Authors: Philson Conner S , Blumstein Daniel T 
Published: November 2022

Abstract
The frequency and type of dyadic social interactions individuals partake in has important fitness consequences. Social network analysis is an effective tool to quantify the complexity and consequences of these behaviors on the individual level. Less work has used social networks to quantify the social structure—specific attributes of the pattern of all social interactions in a network—of animal social groups, and its fitness consequences for those individuals who comprise the group. We studied the association between social structure, quantified via five network measures, and annual reproductive success in wild, free-living female yellow-bellied marmots (Marmota flaviventer). We quantified reproductive success in two ways: (1) if an individual successfully weaned a litter and (2) how many pups were weaned. Networks were constructed from 38 968 interactions between 726 unique individuals in 137 social groups across 19 years. Using generalized linear mixed models, we found largely no relationship between either measure of reproductive success and social structure. We found a modest relationship that females residing in more fragmentable social groups (i.e., groups breakable into two or more separate groups of two or more individuals) weaned larger litters. Prior work showed that yellow-bellied marmots residing in more fragmentable groups gained body mass faster—another important fitness correlate. Interestingly, we found no strong relationships between other attributes of social group structure, suggesting that in this facultatively social mammal, the position of individuals within their group, the individual social phenotype, may be more important for fitness than the emergent group social phenotype.
Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors
Authors: Chinery Lewis , Wahome Newton , Moal Iain , Deane Charlotte M 
Published: November 2022

Abstract

Summary
The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowledge of the paratope (antibody binding site) can speed up and reduce the cost of this process by improving our understanding of antibody–antigen binding. We present Paragraph, a structure-based paratope prediction tool that outperforms current state-of-the-art tools using simpler feature vectors and no antigen information.

Availability and implementation
Source code is freely available at www.github.com/oxpig/Paragraph.

Supplementary information
Supplementary data are available at Bioinformatics online.
Signals from the TAFA4-PTEN-PU.1 axis alleviate nasal allergy by modulating the expression of FcεRI in mast cells
Authors: Zhou Caijie , Li Meihua , Liu Yu , Wang Xinxin , Zhang Shuang , Guan Li , Hong Jingyi , Zhou Wei , Wu Gaohui , Diao Weiliang , Huang Qinmiao , Yang Pingchang 
Published: November 2022

AbstractThe high-affinity IgE receptor, FcεRI, plays a key role in the antigen-induced mast cell activation. Regulations for FcεRI are not yet well understood. TAFA4 is a molecule derived from neuron tissues, and has immune regulation functions. This study aims to clarify the role of TAFA4 in the regulation of FcεRI expression in mast cells. Nasal secretions were collected from patients with allergic rhinitis (AR) and healthy control (HC) subjects. TAFA4 levels of nasal secretions were evaluated by ELISA. A mouse model AR was developed using ovalbumin as the specific antigen. Negative correlation between TAFA4 and tryptase levels in nasal secretions was observed. TAFA4 could suppress the antigen-related mast cell activation. TAFA4 modulated the transcription of Fcer1g (FcεRI γ gene) in mast cells. Signals from the TAFA4-PTEN-PU.1 axis restricted FcεRI expression in mast cells. Administration of TAFA4 attenuated experimental AR. TAFA4 suppressed the expression of FcεRI in mast cells of airway tissues. TAFA4 can down regulate the expression of FcεRI in mast cells to suppress experimental AR. The data suggest that TAFA4 has translation potential to be developed as an anti-allergy therapy.
Impact of Human Immunodeficiency Virus and Recreational Drugs on Cognitive Functions
Authors: Henrard Sophie , Trotta Nicola , Rovai Antonin , Coolen Tim , Slama Hichem , Bertels Julie , Puttaert Delphine , Goffard Jean-Christophe , Van Vooren Jean-Paul , Goldman Serge , De Tiège Xavier 
Published: November 2022

AbstractBackgroundThis prospective study characterizes the structural and metabolic cerebral correlates of cognitive impairments found in a preclinical setting that considers the lifestyle of young European men exposed to human immunodeficiency virus (HIV), including recreational drugs.MethodsSimultaneous structural brain magnetic resonance imaging (MRI) and positron emission tomography using [18F]-fluorodeoxyglucose (FDG-PET) were acquired on a hybrid PET-MRI system in 23 asymptomatic young men having sex with men with HIV (HIVMSM; mean age, 33.6 years [range, 23–60 years]; normal CD4+ cell count, undetectable viral load). Neuroimaging data were compared with that of 26 young seronegative men under HIV preexposure prophylaxis (PrEPMSM), highly well matched for age and lifestyle, and to 23 matched young seronegative men (controls). A comprehensive neuropsychological assessment was also administered to the HIVMSM and PrEPMSM participants.ResultsHIVMSM had lower performances in executive, attentional, and working memory functions compared to PrEPMSM. No structural or metabolic differences were found between those 2 groups. Compared to controls, HIVMSM and PrEPMSM exhibited a common hypometabolism in the prefrontal cortex that correlated with the level of recreational drug use. No structural brain abnormality was found.ConclusionsAbnormalities of brain metabolism in our population of young HIVMSM mainly relate to recreational drug use rather than HIV per se. A complex interplay between recreational drugs and HIV might nevertheless be involved in the cognitive impairments observed in this population.
Evaluating the Accuracy of Self-Collected Swabs for the Diagnosis of Mpox
Authors: Ubals Maria , Tarín-Vicente Eloy José , Oller Xènia , Mendoza Adrià , Alemany Andrea , Hernández-Rodríguez Águeda , Casañ Cristina , Rivero Ángel , Coll Pep , Cabrera José Miguel , Vall Martí , Agud-Dios Manuel , Gil-Cruz Elena , Paris de Leon Alexia , Marinero Aída Ramírez , Folgueira María Dolores , Meléndez María Ángeles , Buhiichyk Vira , Galván-Casas Cristina , Paredes Roger , Prat Nuria , Sala Farré Maria-Rosa , Bonet-Simó Josep Maria , Ortiz-Romero Pablo L , Clotet Bonaventura , Cardona Pere-Joan , Blanco Ignacio , Marks Michael , Suñer Clara , Mitjà Oriol ,   The Movie Group, Santos José Ramón , Bailón Lucía , Benet Susana , Andres Jorge Arroyo , Lozano Lorena Calderón , Hidalgo Yolanda Maltas , Perez Ramona Hervas , Romero Laura Clotet 
Published: November 2022

AbstractWe evaluated the accuracy of patient-collected skin lesions, oropharyngeal, and rectal swabs among 50 individuals enrolled in a study of mpox viral dynamics. We found that the performance of self-collected samples was similar to that of physician-collected samples, suggesting that self-sampling is a reliable strategy for diagnosing mpox.
A Translational Tool to Facilitate Use of Apolipoprotein B for Clinical Decision-Making
Authors: Cole Justine , Otvos James Dorian , Remaley Alan Thomas 
Published: November 2022

Abstract

Background
Despite recent large-scale discordance studies showing definitively that atherosclerotic cardiovascular disease (ASCVD) risk correlates better with apolipoprotein B (apoB) than with low-density lipoprotein cholesterol (LDL-C), the latter remains the recommended metric for guiding lipid-lowering treatment decisions in the United States. A major barrier to change, in this regard, is the lack of guideline-recommended apoB treatment targets. We developed a simple method to “translate” apoB values into population-equivalent LDL-C units, allowing apoB-based treatment decisions to be made using LDL-C targets.

Methods
Sequentially collected, population-based samples underwent standard lipid panel analysis and apoB testing by immunoassay. Those with triglycerides greater than 1000 mg/dl were excluded, leaving a study cohort of 15 153 individuals.

Results
Linear regression of calculated LDL-C values against percentile-equivalent apoB values yielded an equation to convert apoB into percentile-equivalent LDL-C units: [LDL-C equivalents = 1.38(apoB) – 29] (R2 = 0.999). The extent of discordance between LDL-C and apoB was examined in subgroups with similar LDL-C, ranging from very low (55–70 mg/dL) to very high (175–190 mg/dL). Among individuals with very low LDL-C, 40% had discordantly higher apoB, indicating higher ASCVD risk. Of those with very high LDL-C, 49% had discordantly lower apoB. Across the range, a minority of patients (25%–40%) had concordant levels of apoB, confirming that discordance between these biomarkers is highly prevalent. Similar results were found in discordance analysis between apoB and non-high-density lipoprotein cholesterol (HDL-C).

Conclusions
Providing visibility to discrepancies among LDL-C, non-HDL-C, and apoB should help to facilitate more rapid and widespread adoption of apoB for managing ASCVD risk.