bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ground-state electron transfer in all-polymer donor-acceptor blends enables aqueous processing of water-insoluble conjugated polymers
Authors: Fabiano Simone , Liu Tiefeng , Heimonen Johanna , Zhang Qilun , Yang Chi-Yuan , Huang Jun-Da , Wu Han-Yan , Stoeckel Marc-Antoine , Li Yuxuan , Jeong Sang , Marks Adam , Wang Xin-Yi , Puttisong Yuttapoom , Liu Xianjie , Zhang Silan , Li Qifan , Massetti Matteo , Chen Weimin , Woo Han Young , Pei Jian , McCulloch Iain , Gao Feng , Fahlman Mats , Kroon Renee 
Published: August 2023

Abstract

Water-based conductive inks are vital for sustainable manufacturing and widespread adoption of organic electronic devices. Traditional methods to produce waterborne conductive polymers involve modifying their backbone with hydrophilic side chains or using surfactants to form and stabilize aqueous nanoparticle dispersions. However, these chemical approaches are not always feasible and can lead to poor material/device performance. Here, we demonstrate that ground-state electron transfer (GSET) between donor and acceptor polymers allows the processing of water-insoluble polymers from aqueous solutions. This mutual electrical doping enables solid films with 10,000× higher electrical conductivities than pristine polymers, low work function, and excellent thermal/solvent stability. These waterborne conductive films have technological implications for realizing high-performance organic solar cells, with efficiency and stability superior to conventional metal oxide electron transport layers, and organic electrochemical neurons with biorealistic firing frequency. Our findings demonstrate that GSET offers a new avenue to develop water-based conductive inks for a wide range of potential applications in organic electronics.
Review on mastitis and public health importance of mastitis causing pathogens in raw milk from Mastitis infected dairy goat.
Authors: Bedruddin Mohammed 
Published: August 2023

Abstract
Goat milk has medicinal value for children and contributes much more for the wellbeing of human baby. Goat milk provides more nutritional value than dairy cow’s milk. Despite the large number of goats and their contributions to the livelihood of the farmers, goat productivity is low due to prevalence of different diseases. One of the major diseases that affect the dairy goats is mastitis. Mastitis is an inflammation of the mammary gland, caused by over 150 different contagious or environmental micro‑organisms. Mastitis in goats constitutes an enormous animal health problem. In addition to causing health problems, inflammation of the mammary glands can also cause poor quality of milk. Milk produced by goats with mastitis presents a serious risk in terms of public health as it can be linked to milk-borne diseases for humans. Raw milk from Mastitis infected goat is usually colonized by a variety of many zoonotic pathogens such as enterohaemorragic Escherichia coli, Salmonella typhimurium, Listeria monocytogenes and Staphylococcus aureus, Brucella melitensis, Mycobacterium bovis. These pathogens in milk have been linked to mastitis milk. These zoonotic organisms may lead to health problems in the human population such as tuberculosis (TB), brucellosis, haemorrhagic enteritis, salmonellosis and food poisoning. Transmission of pathogens from animals to humans can occur via consumption of milk, especially when these products are consumed raw.
Detangling electrolyte chemical dynamics and evolution in Li-S batteries by operando monitoring with optical resonance combs
Authors: Tarascon Jean-Marie , Liu Fu , Lu Wenqing , Huang Jiaqiang , Pimenta Vanessa , Boles Steven , Demir-Çakan Rezan 
Published: August 2023

Abstract
Challenges in enabling next-generation rechargeable batteries with lower cost, higher energy density, and longer cycling life stem not only from combining appropriate materials, but from optimally using cell components given their respective evolutions. One-size-fits-all approaches to operational cycling and monitoring are limited in improving sustainability if they cannot utilize and capture essential chemical dynamics and states of electrodes and electrolytes. Herein we describe and show how the use of tilted fiber Bragg grating (TFBG) sensors to track, via the monitoring of both temperature and refractive index metrics, electrolyte-electrode coupled changes that fundamentally control lithium sulfur batteries. Through quantitative sensing of the sulfur concentration in the electrolyte, we demonstrate that the nucleation pathway and crystallization of Li2S and sulfur governs the cycling performance. With this technique, a critical milestone is achieved, not only towards developing chemistry-wise cells (in terms of smart battery sensing leading to improved safety and health diagnostics), but further towards demonstrating that the coupling of sensing and cycling can revitalize known cell chemistries and break open new directions for their development.
Virtual Reality Experience in Bone Marrow Transplant Treatment - Technical Evaluation (ViREB-TE)
Authors: Boots Rob , Curley Cameron , Scott Ashleigh , Gavin Nicole , Morris Edward , Foster Carley , Joackson Matthew , Collet Sally , Thompson Damien , Wardell Nadine , Vedelago James , Adam Stephen 
Published: August 2023

Abstract

Purpose:Virtual reality (VR) is increasingly being used in health care, however, its use as part of therapy during prolonged inpatient treatments is less well established. This study assessed the experience of haemato-oncology inpatients, their carers or relatives and staff of a 20-minute VR expedition to assess acceptability, safety, and opportunities to improve inpatient experience.Methods:Through several familiarisation days, patients, supporters, and clinical staff took part in a supervised 20-minute trial of a 3-dimensional (3-D) VR escape using Google WanderTMusing an Oculus Quest 2 VR HeadsetTM. Participants completed a validated survey of their VR experiences.Results:31 patients, 10 staff members and 9 relatives or patient friends visited 55 unique countries with 19 participants (38%) wishing to visit home, family, or friends. All participants enjoyed the experience, felt energised and had a sense of well-being following the immersion. One participant felt fatigued by the experience. No one found the experience disagreeable with none recording difficulty in navigating within the device. No participant complained of nausea with two patients experiencing dizziness and one developing a headache. Nine participants (18%) complained of eyestrain while 12 participants (24%) complained of a sense of “head fullness”. None of the symptoms were perceived to need to shorten the immersion experience or lasted beyond the immersion.Conclusion:3D-VR i “holiday from hospital” can be used in acute inpatients safely with little supervised training and broad acceptance of the technology potentially providing a distraction from clinical care routines.
Conservation of shrubland birds in working landscapes
Authors: DelaCourt Bryce , Irsik Katie , Gerardi Jake , Quinn John E 
Published: August 2023

Abstract
Context
Conservation practices on private, working landscapes are important to achieve conservation goals. Shrub-scrub habitat is one most rapidly decreasing habitat types in the eastern United States while also being one of the most important for avian populations.
Objectives.
Our objectives were (1) see how land use practices affect species of concern, (2) identify habitat thresholds necessary for an increase in occupancy probability, and (3) provide quantitative evidence of conservation opportunities in light of current bird declines.
Methods.
We conducted point counts at 69 locations across a gradient of land use intensity and land cover types. We used the unmarked package to model occupancy of 10 different shrub bird species. We used AIC model selection to identify top models for statistical inference.
Results.
Eight of the focal species for this study showed a 60–80% increase in occupancy probability with the presence of only 5% native shrub habitat within 1,000 meters of a point location. These findings suggest the importance of managed native habitat on working landscapes along with the benefits of small patches. Specifically, shrub-dominant species showed dramatic increase in occupancy with the presence of managed, native habitat in the immediate area. The results help show the possibility and successfulness of conservation on a gradient of land uses including working landscapes.
Conclusions.
These results show the importance of working landscapes in conservation of avian species and the clear benefit of small changes in landscape structure. More broadly, these results show the effectiveness of maintaining native habitats on working landscapes and potential ecological benefits of conservation-minded management of working lands.
An Innovative Strategy Towards Oral English Assessment Using Machine Learning, Data Mining, and Blockchain Techniques
Authors: Zhao Chunrong 
Published: August 2023

Abstract
Few studies have looked at how EFL students perform while speaking in public in English, despite the fact that video data analysis is often used in applied linguistics. In a world that is becoming more globalised, effective public speaking is essential, but EFL learners struggle to execute it, and despite the significance of characteristics like eye contact and speech pauses, there is currently no objective analysis of these elements. In-depth research and analysis on the topic of adaptive proofreading of English pronunciation in a wireless sensor network setting are presented in this article. Data mining refers to the method of generating knowledge and information from a significant amount of imperfect, unpredictable, fuzzily, and randomly generated data that was unknown prior but may be beneficial. This study examines how well EFL learners do orally using video data samples and a Machine Learning (ML) strategy known as a "discrete three-layered fuzzy logic artificial neural network (DTL-FL-ANN)". The architecture of the integrity system for college students is very compatible with the decentralization, security, trustworthiness, and traceability of Blockchain Technology, which is being used in many facets of life. The spoken English data was gathered and filtered for this research using the normalization method, median filter, and "Local Contrast Stretching (LCS)" procedures. The feature extraction stage employs the multi-manifold discriminant analysis (MMDA) to extract the significant attributes from the preprocessed data. We evaluate spoken English performance using the proposed DTL-FL-ANN+BT method. In order to maximize effectiveness, DTL-FL-indicators ANN+BT's are researched and contrasted with existing approaches. The suggested methods improved performance metrics such as accuracy (95%), evaluation error (55%) and evaluation time (45 sec). The proposed approach is determined to be the most effective when compared to the effectiveness of the current techniques for oral English evaluation using machine learning and blockchain technology.
Evaluation Of The Effectiveness Of College English Teaching Reform Measures From The Perspective Of Neural Network
Authors: Tong Fang , Yang Can 
Published: August 2023

Abstract
College curricula and the associated understanding of skills are experiencing significant change in response to the needs of social and economic growth. Big data and data mining were already extensively applied in a variety of fields to extract important knowledge and give decision assistance, both of which have contributed to the demise of traditional teaching methods and the introduction of significant new educational innovations. College students who study subjects other than English play a significant role in the improvement of various languages and developing students' abilities to use those languages in practical settings. As a consequence, the level of a college's English teaching (ET) is a strong indicator of the overall excellence of its academic programs. For this reason, measuring the effectiveness of ET in colleges has emerged as a pressing issue. This study presents a novel artificial bee-tuned back-propagation neural network (AB-BPNN) for assessing the efficacy of ET innovation in colleges. The techniques of feature extraction and feature selection employ Kernel Principle Component Analysis (K-PCA) and information gain (IG), respectively. In terms of accuracy, f1-score, recall, precision, run time, and prediction error, the proposed AB-BPNN approach's performance is assessed. Comparative assessments of the proposed and existing approaches are also presented in these metrics.
Numerical Simulation for Buoyancy Induced Natural Convection of (Ag- MgO/H 2 O) Hybrid Nanofluid in a Horizontal Corrugated Cavity
Authors: Abbas Safdar , Ghour Samer Al , Afzal Farkhanda , M Kaviyarasu , Mehmood Arif , Saeed Maha Mohammed , Naeem Muhammad , Gul Saeed 
Published: August 2023

Abstract
This work scrutinizes the influence of nanoparticles volume fraction and Rayleigh number on hybrid nanofluid flow and heat transfer in a corrugated closed chamber. By using a non-dimensional parameter, partial differential equations that are dimensional are reduced to dimensionless differential equations. Obtained equations are attempted by applying finite element method (FEM) and solution is compared with work in literature and discovered an excellent match. Heat transfer is minimized by the increasing Rayleigh number while heat transport was influenced by the volume fraction values of nanoparticles. Horizontal and vertical velocities shows the sinusoidal behaviour for Ra and \(\varphi\)values. Nusselt number for upper rectangular bars are increasing for Rayleigh number values and Nusselt number for corrugated side walls showed no significant effect.
Colonisation of extended spectrum β-lactamase- and carbapenemase-producing bacteria on hospital surfaces from low-/middle-income countries
Authors: Nieto-Rosado Maria , Sands Kirsty , Portal Edward , Thomson Katy , Carvalho Maria , Mathias Jordan , Milton Rebecca , Dyer Calie , Akpulu Chinenye , Boostrom Ian , Hogan Patrick , Saif Habiba , Ferreira Ana Sanches , Hender Thomas , Portal Barbra , Andrews Robert , Watkins W , Zahra Rabaab , Shirazi Haider , Muhammad Adil , Ullah Syed Najeeb , Jan Muhammad Hilal , Akif Shermeen , Iregbu Kenneth , Modibbo Fatima , Uwaezuoke Stella , Audu Lamidi , Edwin Chinago , Yusuf Ashiru , Adeleye Adeola , Mukkadas Aisha , Mazarati Jean Baptiste , Rucogoza Aniceth , Gaju Lucie , Mehtar Shaheen , Bulabula Andrew , Whitelaw Andrew , Roberts Lauren , Chan Grace , Bekele Delayehu , Solomon Semaria , Abayneh Mahlet , Metaferia Gesit , BARNARDS Group , Walsh Timothy 
Published: August 2023

Abstract
Inanimate surfaces in hospital settings can harbour bacterial pathogens, which can disseminate and cause nosocomial infections, resulting in unacceptable mortality in low- and middle-income countries (LMICs). As part of the BARNARDS study, this hospital swabs study determined which hospital surfaces were colonised by Gram-negative bacteria (GNB) carrying antibiotic resistance genes (ARGs). PCR screening for the presence of extended-spectrum β-lactamases (blaCTX-M-15) and carbapenemases (blaNDM, blaOXA-48-like and blaKPC) showed higher prevalence of blaNDM, and blaOXA-48-like in Pakistan, Bangladesh, and Ethiopia, compared to other LMICs. Identification of GNB carrying ARGs by MALDI-TOF MS confirmed dominance of Klebsiella pneumoniae, Enterobacter hormaechei, Acinetobacter baumannii, Serratia marcescens and Leclercia adecarboxylata, mostly found in sinks and water system. The isolates were further analysed by whole genome sequencing, and the presence of consistently dominant clones and their relatedness to strains causing neonatal sepsis was determined. The same strain was identified from the same ward on multiple occasions suggesting clonal persistence, and ST15 K. pneumoniae was shown to be responsible for transmission events in Pakistan and identical to isolates causing neonatal sepsis over similar time periods. Our data suggests persistence of dominant clones across multiple time points, highlighting the need for assessment of Infection Prevention and Control guidelines.
The impact of social cohesion and risk communication on excess mortality due to COVID- 19 in 213 countries: a retrospective analysis
Authors: Silva Ricardo Eccard da , Novaes Maria Rita Carvalho Garbi , De Oliveira Cesar , Guilhem Dirce Bellezi 
Published: August 2023

Abstract

Tools for assessing a country’s capacity, as for example, The Global Health Security Index (GHS), in the face of public health emergencies must be reviewed, as they were not predictive of the COVID-19 pandemic. Social cohesion and risk communication, which are related to trust in government and trust in others, may have influenced adherence to government measures and mortality rates due to COVID-19. This study analyzed the association between COVID-19 outcomes and social cohesion and risk communication indicators in 213 countries. Secondary data, in the public domain, were analyzed by statistical analysis consisted of a multiple linear regression model adjusted for confounding factors. The results showed that social cohesion and risk communication, in their dimensions (public trust in politicians, trust in others, social safety nets, and equal distribution of resources index), were associated with lower excess mortality due to COVID-19. The number of COVID-19-related disorder events and government transparency were associated with higher excess mortality due to COVID-19. Most of the social cohesion and risk communication variables were associated with better vaccination indicators, except for social capital and engaged society, which had no statistically significant association.
An Intersectional Perspective on Onset of Type 2 Diabetes in Adults aged 50 and older in Europe: A Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Authors: O'Sullivan Julie Lorraine , Alonso-Perez Enrique , Färber Francesca , Fuellen Georg , Rudolf Henrik , Heisig Jan Paul , Kreyenfeld Michaela , Gellert Paul 
Published: August 2023

Abstract
Background: Disparities in the development of Type 2 Diabetes (T2D) are associated with various social determinants, including sex/gender, migration background, living arrangement, education, and household income. However, few quantitative studies have applied an intersectional perspective to examine non-additive effects of overlapping social identities. This study aimed to map social disparities and investigate intersectional effects regarding the onset of T2D among older adults across Europe.
Methods: We used data from the Survey of Health and Retirement in Europe (SHARE) to conduct an intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) of T2D onset. Individuals aged 50 years or older without known T2D at wave 4 (2011, baseline) were included and followed through waves 5 (2013), 6 (2015), 7 (2016), and 8 (2019-2020). A series of multilevel logistic regression models were run with individuals nested in 72 social strata based on intersections of sex/gender, migration background, living arrangement, education level, and household income. Intersectional models were used to estimate additive main effects and intersectional interactions, while adjusting for age and country.
Results: A total of 39,108 individuals were included (age at baseline in years M=65.18 (SD=9.62), 57.4% women). T2D onset was reported for 9.2% of the sample over the 9-year observation period. In the fully adjusted model, all social determinants showed significant additive associations with T2D onset, while the discriminatory accuracy of the social strata was found to be low (Variance Partition Coefficient=0.3%).
Conclusions: This study provides a comprehensive mapping of disparities in onset of T2D among older adults in Europe. While the results highlight disadvantages faced by certain groups based on social determinants, we found no evidence of multiplicative (i.e., intersectional) effects. Healthcare professionals and public health initiatives should consider the unique challenges faced by individuals with diverse social identities to effectively address the prevention and management of T2D.
Differentiating Unimodal and Multimodal Distributions in Pulsed Dipolar Spectroscopy Using Wavelet Transforms
Authors: Roy Aritro Sinha , Freed Jack H. , Srivast Madhur 
Published: August 2023

Abstract

Site directed spin labeling has enabled protein structure determination using electron spin resonance (ESR) pulsed dipolar spectroscopy (PDS). Small details in a distance distribution can be key to understanding important protein structure-function relationships. A major challenge has been to differentiate unimodal and overlapped multimodal distance distributions. They often yield similar distributions and dipolar signals. Current model-free distance reconstruction techniques such as Srivastava-Freed Singular Value Decomposition (SF-SVD) and Tikhonov regularization can suppress these small features in uncertainty and/or error bounds, despite being present. In this work, we demonstrate that continuous wavelet transform (CWT) can distinguish PDS signals from unimodal and multimodal distance distributions. We show that periodicity in CWT representation reflects unimodal distributions, which is masked for multimodal cases. This work is meant as a precursor to a cross-validation technique, which could indicate the modality of the distance distribution.
“Pharmacies are less confronting than a medical practitioner”: A qualitative exploration of community pharmacy as an environment for reducing harms related to anabolic-androgenic steroid use
Authors: Piatkowski Timothy , Benn Sarah , King Michelle , McMillan Sara , Hattingh Laetitia 
Published: August 2023

Abstract
Background
While community pharmacies have been successful in providing harm reduction support for illicit substance consumers, little research has explored their role in addressing the needs of anabolic-androgenic steroid (AAS) consumers.
Objective
This study aims to understand the attitudes and experiences of AAS users in relation to community pharmacies, with the goal of identifying opportunities for harm reduction interventions and creating safer-use environments.
Methods
Semi-structured interviews were conducted with eight AAS consumers living in Australia between December 2022 and April 2023. Interview data were analysed using reflexive thematic analysis.
Results
Participants discussed accessing AAS equipment and overcoming challenges, such as limited access in rural areas. They highlighted the disparity between the availability and accessibility of equipment from pharmacies and needle and syringe programs. Participants expressed a preference for community pharmacies, perceiving them as less confronting and a feasible avenue for accessing professional advice, highlighting the potential role of pharmacists in nurturing therapeutic alliances with users of AAS. Overall consumers supported the idea of AAS safe-injecting kits being available in pharmacies and they were receptive to pharmacies as potential sources of information and support.
Conclusions
The findings suggest that community pharmacies can further contribute to promoting safer AAS use and providing support for consumers. However, further research is needed to address knowledge gaps and training needs for pharmacy staff, with the aim of creating a safer environment for AAS consumers.