bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cavity-controlled methanol conversion over zeolite catalysts
Authors: Zhang Wenna , Lin Shanfan , Wei Yingxu , Tian Peng , Ye Mao , Liu Zhongmin 
Published: May 2023

ABSTRACTThe successful development and application in industry of methanol-to-olefins (MTO) process brought about an innovative and efficient route for olefin production via non-petrochemical resources and also attracted attention of C1 chemistry and zeolite catalysis. Molecular sieve catalysts with diversified microenvironments embedding unique channel/cavity structure and acid properties, exhibit demonstrable features and advantages in the shape-selective catalysis of MTO. Especially, shape-selective catalysis over 8-MR and cavity-type zeolites with acidic supercage environment and narrow pore opening manifested special host–guest interaction between the zeolite catalyst and guest reactants, intermediates and products. This caused great differences in product distribution, catalyst deactivation and molecular diffusion, revealing the cavity-controlled methanol conversion over 8-MR and cavity-type zeolite catalyst. Furthermore, the dynamic and complicated cross-talk behaviors of catalyst material (coke)-reaction-diffusion over these types of zeolites determines the catalytic performance of the methanol conversion. In this review, we shed light on the cavity-controlled principle in the MTO reaction including cavity-controlled active intermediates formation, cavity-controlled reaction routes with the involvement of these intermediates in the complex reaction network, cavity-controlled catalyst deactivation and cavity-controlled diffusion. All these were exhibited by the MTO reaction performances and product selectivity over 8-MR and cavity-type zeolite catalysts. Advanced strategies inspired by the cavity-controlled principle were developed, providing great promise for the optimization and precise control of MTO process.
Angular correlation of the two gamma rays produced in the thermal neutron capture on gadolinium-155 and gadolinium-157
Authors: Goux Pierre , Glessgen Franz , Gazzola Enrico , Reen Mandeep Singh , Focillon William , Gonin Michel , Tanaka Tomoyuki , Hagiwara Kaito , Ali Ajmi , Sudo Takashi , Koshio Yusuke , Sakuda Makoto , Collazuol Gianmaria , Kimura Atsushi , Nakamura Shoji , Iwamoto Nobuyuki , Harada Hideo , Wurm Michael 
Published: May 2023

Abstract
The ANNRI-Gd collaboration studied in detail the single γ-ray spectrum produced from the thermal neutron capture on 155Gd and 157Gd in our previous publications. Gadolinium targets were exposed to a neutron beam provided by the Japan Spallation Neutron Source (JSNS) in J-PARC, Japan. In the present analysis, one new additional coaxial germanium crystal was used in combination with the 14 germanium crystals in the cluster detectors to study the angular correlation of the two γ rays emitted in the same neutron capture. We present for the first time angular correlation functions for two γ rays produced during the electromagnetic cascade transitions in the (n, γ) reactions on 155Gd and 157Gd. As expected, we observe mild angular correlations for the strong, but rare transitions from the resonance state to the two energy levels of known spin-parities. Contrariwise, we observe negligibly small angular correlations for arbitrary pairs of two γ rays produced in the majority of cascade transitions from the resonance state to the dense continuum states.
Integrated working in local authority decision-making about air quality: a qualitative study in Southwest England
Authors: Turner Andrew , Webb Adele , Jago Russ , Blackmore Sara , de Vocht Frank , Horwood Jeremy 
Published: May 2023

Abstract

Background
Exposure to poor air quality is one of the most significant environmental public health challenges. In the UK, local authorities (LAs) are responsible for monitoring and managing air quality. This article explores the need and mechanisms for cross-departmental working in LAs to make decisions about air quality issues.

Methods
Semi-structured qualitative interviews with public health, environmental health and transport staff from LAs within the Southwest of UK. Interviews were conducted between April and August 2021 and analysed using a thematic approach.

Results
In sum, 24 staff from 7 LAs participated. Local authority staff in public health, environmental health and transport teams recognized that managing air quality was a cross-departmental issue. To enable effective integrated working staff described four successful mechanisms: (i) policy commitments and political support; (ii) dedicated air quality steering groups; (iii) existing governance and oversight groups; and (iv) networking and relationships.

Conclusions
This study has identified mechanisms that LA staff have found support cross-departmental and integrated working on air quality issues. These are mechanisms that have helped environmental health staff work towards achieving compliance with pollution limits, and that have helped public health staff get air quality considerations recognized as a wider health issue.
Systematic Review of Contemporary Theories Used for Co-creation, Co-design and Co-production in Public Health
Authors: Messiha Katrina , Chinapaw Mai J M , Ket Hans C F F , An Qingfan , Anand-Kumar Vinayak , Longworth Giuliana R , Chastin Sebastien , Altenburg Teatske M 
Published: May 2023

Abstract

Background
There is a need to systematically identify and summarize the contemporary theories and theoretical frameworks used for co-creation, co-design and co-production in public health research.

Methods
The reporting of this systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Given substantial interest in and application of co-creation, co-design and co-production, we searched PubMed, CINAHL, Scopus and APA PsycINFO from 2012 to March–April 2022. A quality assessment and data extraction for theory content was performed.

Results
Of the 3763 unique references identified through the comprehensive search strategy, 10 articles were included in the review: four articles named co-creation, two articles named co-creation and co-design, two articles named co-production and co-design, and two articles named co-design. Empowerment Theory was employed by two articles, whereas other theories (n = 5) or frameworks (n = 3) were employed by one article each. For the quality assessment, eight articles received a strong rating and two articles received a moderate rating.

Conclusion
There is little indication of theory applications for the approaches of co-creation, co-design and co-production in public health since 2012, given 10 articles were included in this review. Yet, the theories described in these 10 articles can be useful for developing such co-approaches in future public health research.
Review of four unusual cases of HIV-positive infants; cryptic pregnancy scam and mother-to-child transmission of HIV in Nigeria
Authors: Orji Maria-Lauretta , Oyim-Elechi Oluchukwu Cecilia , Agboeze Joseph , Nwali Matthew Igwe 
Published: May 2023

Abstract

Background
Cryptic pregnancy is defined as lack of awareness of pregnancy until the last weeks of gestation or during labour and delivery but in cryptic pregnancy scam, mothers feigned pregnancies that never existed.

Methods
We report a total of four cases of HIV infected infants said to have been delivered by HIV negative mothers. All the mothers are above 40 years of age with a range of 9 to 18 years of infertility in marriage. The cryptic pregnancy scam was neither confirmed by pregnancy test nor obstetric scan. Diagnosis of HIV infection was made at infancy following positive rapid test and HIV antigen test.

Conclusion
The menace of cryptic pregnancy scam in Nigeria is setting back the gains of HIV prevention and control. Desperate infertile women are made to believe that they are pregnant while babies are bought and brought to them at said date of delivery. These mothers never had proper antenatal care and so were never screened for HIV. Cryptic pregnancy scam is real amongst desperate barren women who become easy prey to the perpetuators. Awareness creation and sensitization on its harm is advocated.
How can we improve latent tuberculosis infection management using behaviour change wheel: a systematic review
Authors: Wong Yen Jun , Ng Khuen Yen , Lee Shaun Wen Huey 
Published: May 2023

Abstract

Background
To ensure the effective delivery of latent tuberculosis infection (LTBI) care, it is vital to overcome potential challenges in LTBI management. This systematic review aims to identify the barriers and interventions to improve LTBI management using the Capability, Opportunity, and Motivation-Behaviour (COM-B) model and Behaviour Change Wheel (BCW).

Methods
A systematic literature search was performed on five electronic databases from database inception to 3 November 2021. A two-step technique was used in the data synthesis process: (i) the barriers of LTBI management were identified using the COM-B model, followed by (ii) mapping of intervention functions from BCW to address the identified barriers.

Results
Forty-seven eligible articles were included in this review. The findings highlighted the need for a multifaceted approach in tackling the barriers in LTBI management across the public, provider and system levels. The barriers were summarized into suboptimal knowledge and misperception of LTBI, as well as stigma and psychosocial burden, which could be overcome with a combination of intervention functions, targeting education, environment restructuring, persuasion, modelling, training, incentivization and enablement.

Conclusions
The remedial strategies using BCW to facilitate policy reforms in LTBI management could serve as a value-added initiative in the global tuberculosis control and prevention program.
Music therapy for health workers to reduce stress, mental workload and anxiety: a systematic review
Authors: Colin Catherine , Prince Violaine , Bensoussan Jean-Luc , Picot Marie-Christine 
Published: May 2023

Abstract

Background
The physical and mental exhaustion of health care workers urgently needs to be addressed as a public health priority. Benefits of music on stress parameters have been extensively reported.

Methods
We carried out a systematic review to examine the efficacy of music interventions on stress parameters by selecting studies conducted in genuine care stress conditions. To approach the potential benefit of music therapy (MT) versus music medicine (MM), we followed international music-based intervention guidelines.

Results
Five outcomes were considered in our studies: stress, anxiety, mental workload, burnout risk and psychosomatic symptoms. Corresponding measures, including psychological, physiological questionnaires or stress biological parameters, showed significant results for the majority of them in music groups. Implications of music types, designs and limitations are discussed. Only one study compared MM and MT with an advantage for customized playlists over time.

Conclusions
In spite of heterogeneity, music interventions seem to significantly decrease stress parameters. The individual, customized supports with MT may be a crucial condition for this specific professional category. The impact of MT versus MM, the number of music sessions and the effect over time need to be explored.
Statistical properties of Hipparcos 2, caveats on its use, and a recalibration of the intermediate astrometric data
Authors: Brandt G Mirek , Michalik Daniel , Brandt Timothy D 
Published: May 2023

Abstract
We revisit the Hipparcos 2007 re-reduction and find improvements to the catalogue by leveraging Gaia EDR3. We show that including a constant residual offset and additional dispersion (two free parameters in total) in the Hipparcos 2007 Intermediate Astrometric Data (IAD) creates a new catalogue with significantly better agreement with Gaia EDR3. The astrometric parameters, after recalibration, have z-scores that follow a unit-Gaussian when measured against Gaia EDR3 values. We have expanded the python astrometry tool, htof, to recalibrate the IAD on-the-fly. On a second front, we find that a merged set of IAD from the 1997 and 2007 Hipparcos reductions is not possible in an internally consistent manner. This can be understood if Hipparcos 2007 is an improved, but overfit, model to the underlying along-scan data. For this reason, we recommend using the recalibrated Hipparcos 2007 astrometric parameters, or those from the Hipparcos–Gaia Catalogue of Accelerations – because the signatures of overfitting are calibrated out. We advise caution in fitting orbits to the IAD from either Hipparcos 2 as-published or the recalibrated version presented here.
Grieving in the “Golden Cage”: How Unauthorized Immigrants Contend with Death and Mourn from Afar
Authors: Fullerton Rico Kristina 
Published: May 2023

AbstractIn the past four decades, the United States has created a population of long-term unauthorized immigrants. As this population ages, issues of death and dying are increasingly salient. Though we know much about how families maintain close bonds despite geographic distance, death and dying remain undertheorized in transnational family scholarship. Yet the death of a family member can significantly impact family structure and functions. Based on ethnographic and interview data collected from 2017–2023 with unauthorized Mexican immigrants and their families, this study examines how unauthorized immigrants anticipate and mourn the death of family members in their community of origin and how their undocumented status creates challenges for themselves and their families after a transnational death.I find that the specter of transnational death shapes the emotional wellbeing of older unauthorized immigrants years before they experience it. Undocumented status creates and compounds transnational grief, leading to additional challenges. Individuals use a variety of strategies to grieve, including mourning by proxy, paying for funeral expenses, and participating virtually. This research advances immigration scholarship by uncovering underappreciated social and emotional penalties imposed by current immigration laws and highlighting the value of mourning as a collective ritual –– the absence of which has lasting costs.
Correcting of the unexpected localization measurement for indoor automatic mobile robot transportation based on a neural network
Authors: Huang Jiahao , Junginger Steffen , Liu Hui , Thurow Kerstin 
Published: May 2023

Abstract
The increasing use of mobile robots in laboratory settings has led to a higher degree of laboratory automation. However, when mobile robots move in laboratory environments, mechanical errors, environmental disturbances and signal interruptions are inevitable. This can compromise the accuracy of the robot's localization, which is crucial for the safety of staff, robots and the laboratory. A novel time-series predicting model based on the data processing method is proposed to handle the unexpected localization measurement of mobile robots in laboratory environments. The proposed model serves as an auxiliary localization system that can accurately correct unexpected localization errors by relying solely on the historical data of mobile robots. The experimental results demonstrate the effectiveness of this proposed method.
Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization
Authors: He Deqiang , Yan Jingren , Jin Zhenzhen , Zou Xueyan , Shan Sheng , Xiang Zaiyu , Miao Jian 
Published: May 2023

Abstract
Remaining useful life (RUL) prediction for bearing is a significant part of the maintenance of urban rail transit trains. Bearing RUL is closely linked to the reliability and safety of train running, but the current prediction accuracy makes it difficult to meet the requirements of high reliability operation. Aiming at the problem, a prediction model based on an improved long short-term memory (ILSTM) network is proposed. Firstly, the variational mode decomposition is used to process the signal, the intrinsic mode function with stronger representation ability is determined according to energy entropy and the degradation feature data is constructed combined with the time domain characteristics. Then, to improve learning ability, a rectified linear unit (ReLU) is applied to activate a fully connected layer lying after the long short-term memory (LSTM) network, and the hidden state outputs of the layer are weighted by attention mechanism. The Harris Hawks optimization algorithm is introduced to adaptively set the hyperparameters to improve the performance of the LSTM. Finally, the ILSTM is applied to predict bearing RUL. Through experimental cases, the better performance in bearing RUL prediction and the effectiveness of each improving measures of the model are validated, and its superiority of hyperparameters setting is demonstrated.
Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways
Authors: Gao Jinyong , Zeng Juncheng , Wang Xinyuan , Zhou Cheng , Zhang Hailin , Lai Jintao 
Published: May 2023

Abstract
Tunnels on freeways, as one of the critical bottlenecks, frequently cause severe congestion and passenger delay. To solve the tunnel bottleneck problem, most of the existing research can be divided into two types. One is to adopt variable speed limits (VSLs) to regulate a predetermined speed for vehicles to get through a bottleneck smoothly. The other is to adopt high-occupancy vehicle (HOV) lane management. In HOV lane management strategies, all traffic is divided into HOVs and low-occupancy vehicles (LOVs). HOVs are vehicles with a driver and one or more passengers. LOVs are vehicles with only a driver. This kind of research can grant priority to HOVs by providing a dedicated HOV lane. However, the existing research cannot both mitigate congestion and maximize passenger-oriented benefits. To address the research gap, this paper leverages connected and automated vehicle (CAV) technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a dynamic HOV lane (DHL). The strategy bears the following features: 1) enables tunnel bottleneck management at a microscopic level; 2) maximizes passenger-oriented benefits; 3) grants priority to HOVs even when the HOV lane is open to LOVs; 4) allocates right-of-way segments for HOVs and LOVs in real time; and 5) performs well in a mixed-traffic environment. The proposed strategy is evaluated through comparison against the non-control baseline and a VSL strategy. Sensitivity analysis is conducted under different congestion levels and penetration rates. The results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs' priority level improvement.
Comparative Characterization of Virulent and Less-Virulent Lasiodiplodia theobromae Isolates
Authors: Gunamalai Lavanya , Duanis-Assaf Danielle , Sharir Tom , Maurer Dalia , Feygenberg Oleg , Sela Noa , Alkan Noam 
Published: May 2023

Lasiodiplodia theobromae attacks over 500 plant species and is an important pathogen of tropical and subtropical fruit. Due to global warming and climate change, the incidence of disease associated with L. theobromae is rising. Virulence tests performed on avocado and mango branches and fruit showed a large diversity of virulence of different L. theobromae isolates. Genome sequencing was performed for two L. theobromae isolates, representing more virulent (Avo62) and less-virulent (Man7) strains, to determine the cause of their variation. Comparative genomics, including orthologous and single-nucleotide polymorphism (SNP) analyses, identified SNPs in the less-virulent strain in genes related to secreted cell wall–degrading enzymes, stress, transporters, sucrose, and proline metabolism, genes in secondary metabolic clusters, effectors, genes involved in the cell cycle, and genes belonging to transcription factors that may contribute to the virulence of L. theobromae. Moreover, carbohydrate-active enzyme analysis revealed a minor increase in gene counts of cutinases and pectinases and the absence of a few glycoside hydrolases in the less-virulent isolate. Changes in gene-copy numbers might explain the morphological differences found in the in-vitro experiments. The more virulent Avo62 grew faster on glucose, sucrose, or starch as a single carbon source. It also grew faster under stress conditions, such as osmotic stress, alkaline pH, and relatively high temperature. Furthermore, the more virulent isolate secreted more ammonia than the less-virulent one both in vitro and in vivo. These study results describe genome-based variability related to L. theobromae virulence, which might prove useful for the mitigation of postharvest stem-end rot. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .
Reemergence of Dengue Virus Serotype 3, Brazil, 2023
Authors: Naveca Felipe Gomes , Santiago Gilberto A , Maito Rodrigo Melo , Meneses Cátia Alexandra Ribeiro , do Nascimento Valdinete Alves , de Souza Victor Costa , do Nascimento Fernanda Oliveira , Silva Dejanane , Mejía Matilde , Gonçalves Luciana , de Figueiredo Regina Maria Pinto , Cruz Ana Cecília Ribeiro , Nunes Bruno Tardelli Diniz , Presibella Mayra Marinho , Quallio Marques Nelson Fernando , Riediger Irina Nastassja , de Mendonça Marcos César Lima , de Bruycker-Nogueira Fernanda , Sequeira Patricia C , de Filippis Ana Maria Bispo , Resende Paola , Campos Tulio , Wallau Gabriel Luz , Gräf Tiago , Delatorre Edson , Kopp Edgar , Morrison Andrea , Muñoz-Jordán Jorge L. , Bello Gonzalo 
Published: May 2023

AbstractIn 2023, three autochthonous DENV-3 cases were detected in Roraima and one imported case in Paraná, fifteen years after the last DENV-3 outbreak in Brazil. Phylogenetic analyses confirmed all belonging to a new Asian lineage recently introduced in the Americas, raising concerns about future large dengue outbreaks in this region.
Deep kinematic inference affords efficient and scalable control of bodily movements
Authors: Priorelli Matteo , Pezzulo Giovanni , Stoianov Ivilin Peev 
Published: May 2023

ABSTRACTPerforming goal-directed movements requires mapping goals from extrinsic (workspace-relative) to intrinsic (body-relative) coordinates and then to motor signals. Mainstream approaches based on Optimal Control realize the mappings by minimizing cost functions, which is computationally demanding. Instead, Active Inference uses generative models to produce sensory predictions, which allows a cheaper inversion to the motor signals. However, devising generative models to control complex kinematic chains like the human body is challenging. We introduce a novel Active Inference architecture that affords a simple but effective mapping from extrinsic to intrinsic coordinates via inference and easily scales up to drive complex kinematic chains. Rich goals can be specified in both intrinsic and extrinsic coordinates using attractive or repulsive forces. The proposed model reproduces sophisticated bodily movements and paves the way for computationally efficient and biologically plausible control of actuated systems.