bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and facilitators for providing self-care advice in community pharmacies: a qualitative study
Authors: Lelie-van der Zande Rian , Koster Ellen S. , Teichert Martina , Bouvy Marcel L. 
Published: April 2023

Abstract
Background
Community pharmacies are easily accessible for self-care advice. Guidelines for providing self-care advice were introduced in several countries, including the Netherlands in the 1990s. Previous studies have indicated room for improvement in self-care advice in daily pharmacy practice.

Aim
To identify barriers and facilitators for providing self-care advice.

Method
Semi-structured interviews were conducted face-to-face or online with pharmacists and pharmacy assistants using a topic guide based on the Theoretical Domains Framework. The interviews were audio-recorded and transcribed verbatim. The transcripts were deductively analysed to identify barriers and facilitators for self-care counselling. COREQ guidelines were followed.

Results
In total, 13 pharmacists and 12 pharmacy assistants were interviewed to reach data saturation. In general, most themes addressed by pharmacists and pharmacy assistants belonged to similar domains. The following domains were frequently mentioned: environmental context and resources (e.g. priority for prescription drugs, privacy, collaboration with general practitioners, access to patients’ records), intentions (providing reliable advice), skills (communication, decision-making), knowledge (ready guideline knowledge), beliefs about consequences (patient safety), social influences (patient awareness of pharmacist role), reinforcement (lack of reimbursement for relatively time-consuming advice).

Conclusion
This study identifies barriers and facilitators for evidence-based self-care advice. Pharmacists should first support pharmacy assistants by helping them keep their knowledge and skills up to date and creating suitable pharmacy preconditions to facilitate improvements in self-care counselling. Second, collaboration with general practitioners regarding minor ailments should be improved.
Numerical analysis of bipartite entanglement evolution in simple cubic 1/2-spin system with additional spin 1 dopant
Authors: Kaczor Michał , Jakubczyk Paweł 
Published: April 2023

AbstractThe system in consideration is a singular simple cubic cell of spins $$s = \frac{1}{2}$$

s
=

1
2

doped in centre with additional spin $$S = 1$$

S
=
1

. The structure is located in external magnetic field and is undergoing dissipative, Markovian evolution. The analysis of system time evolution is focused on the entanglement evaluation and determination of its behaviour over time. We found out the distinct effect of doping the structure with additional spin $$S = 1$$

S
=
1

in the time evolution of the bipartite entanglement in $$\vert W \rangle $$

|
W
⟩

state. We also distinguished the raising and lowering spin interaction with environment and determined its impact on decoherence. Furthermore, we have shown that the entanglement between spins is in the form of a damped superposition of Gaussian functions. Its pulsed nature results from the unitary evolution in spin structure, while the damping is caused by the influence of the environment.
SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides
Authors: Kühn Martin J. , Holke Johannes , Lutz Annette , Thies Jonas , Röhrig-Zöllner Melven , Bleh Alexander , Backhaus Jan , Basermann Achim 
Published: April 2023

AbstractDevelopments in numerical simulation of flows and high-performance computing influence one another. More detailed simulation methods create a permanent need for more computational power, while new hardware developments often require changes to the software to exploit new hardware features. This dependency is very pronounced in the case of vector-units which are featured by all modern processors to increase their numerical throughput but require vectorization of the software to be used efficiently. We study the vectorization of a simulation method that exhibits an inherent level of vector-parallelism. This is of particular interest as SIMD operations will hopefully be available with std::simd in a future C++ standard. The simulation method considered here results in the simultaneous solution of multiple sparse linear systems of equations which only differ by their main diagonal and right-hand sides. Such structure arises in the simulation of unsteady flow in turbomachinery by means of a frequency domain approach called harmonic balance.
SME research: SMEs’ internationalization and collaborative innovation as two central topics in the field
Authors: Audretsch David B. , Guenther Christina 
Published: April 2023

AbstractSMEs’ internationalization and innovation activities represent fundamental economic activities that are conducive to SMEs’ individual success, but likewise contribute to the economic well-being of their home region and country. Therefore, understanding how some SMEs are innovative and internationally active has attracted significant scholarly attention within and beyond the SME research community. This paper highlights selected key findings from prior literature with regard to the context factors that facilitate SMEs’ internationalization and innovation. In the latter case, we focus on innovation within inter-organizational collaborations. We conclude with directions for future SME research above and beyond SMEs’ internationalization and innovation.
Probing the Functionality of Halogen-Free Electrolytes Using Succinonitrile Additive in Magnesium-Sulfur Batteries
Authors: Gamal R. , Sheha E. , El Kholy M. M. 
Published: April 2023

AbstractRechargeable magnesium batteries have attractive features as a post-lithium battery owing to their high volumetric capacity, safety, and low cost. However, the high charge density of Mg2+ causes sluggish interfacial charge transfer kinetics at the electrode/electrolyte interface. This paper is an attempt to optimize the electrochemical performance of a halogen-free liquid electrolyte (HFE)-based magnesium nitrate (Mg(NO3)2) and variable additive of succinonitrile (SN). A polymer layer interface (PLI) consisting of Mg (CF3SO3)2, polyvinylidene fluoride (PVDF), SN, and G4 has been introduced to isolate the Mg anode's surface from HFE in order to reduce the growth rate of the passivation layer at the surface of the Mg anode. The introduction of SN regulates the ionic conductivity, overpotential of Mg plating/stripping, and the ion transference number of the HFE. A prototype of the Mg/HFE_SN/S full cell delivers a high initial discharge/charge capacity of ~ 1200/500 mAh g−1 with a rapid capacity fade, while (Mg/PLI/HFE_SN/S) cell offers low capacity with long cycle life over (Mg/HFE_SN/S) counterpart. Postmortem analysis of sulfur electrodes at different electrochemical states reveals the reversible back and forth movement of Mg2+ ions in Mg/S cells via conversion reaction.
Evidence for a Parabasalian Gut Symbiote in Egg-Feeding Poison Frog Tadpoles in Peru
Authors: Weinfurther K. D. , Stuckert A. M. M. , Muscarella M. E. , Peralta A. L. , Summers K. 
Published: April 2023

AbstractWe report preliminary evidence of a symbiotic parabasalian protist in the guts of Peruvian mimic poison frog (Ranitomeya imitator) tadpoles. This species has biparental care and egg-feeding of tadpoles, while the related R. variabilis consumes the ancestral detritus diet in their nursery pools. Each species’ diet was experimentally switched, in the field and lab. Analyses of gut gene expression revealed elevated expression of proteases in the R. imitator field egg-fed treatment. These digestive proteins came from parabasalians, a group of protists known to form symbiotic relationships with hosts that enhance digestion. Genes that code for these digestive proteins are not present in the R. imitator genome, and phylogenetic analyses indicate that these mRNA sequences are from parabasalians. Bar-coding analyses of the tadpole microbiomes further confirmed this discovery. Our findings indicate the presence of parabasalian symbiotes in the intestines of the R. imitator tadpoles, that may aid the tadpoles in protein/lipid digestion in the context of an egg diet. This may have enabled the exploitation of a key ecological niche, allowing R. imitator to expand into an area with ecologically similar species (e.g., R. variabilis and R. summersi). In turn, this may have enabled a Müllerian mimetic radiation, one of only a few examples of this phenomenon in vertebrates.
Access to external credit during COVID-19: evidence from green SMEs in Italy
Authors: Arcuri Maria Cristina , Pisani Raoul 
Published: April 2023

AbstractThis study explores the impact of being “green” as a response to variability in the business environment. We examine the financial resilience of green Small and Medium-sized Enterprises (SMEs) in Italy compared to non-green during the COVID-19 pandemic. We verify whether green SMEs are more able to attract external funding than non-green and whether green SMEs rely more heavily on trade credit than non-green ones. We carry out an analysis with 215,564 observations, of which 6844 refer to “green” firms, over the period 2017–2020 and we find that before and during the pandemic, Italian green SMEs do not attract more external funding than other SMEs, but they rely more on trade credit than non-green SMEs. Our results partially confirm the traditional substitution effect, and we suggest that the reasons for this relationship are also supplied in the literature which sees trade credit as a component of a long-term portfolio management strategy, i.e., as a tool for consolidating relationships with clients, for price discrimination and/or for increasing firm profitability in facing variable demand conditions. Our paper contributes to the literature in two ways. First, it investigates the relationship between the “green” characteristics of a firm and its level of economic and financial resilience during the pandemic. Second, it verifies whether, during a complex economic shock, green orientation increases or decreases the importance of trade credit relative to bank credit in financing the firm.
Oxidized cellulose-based reaction mimicking thyroidal recurrence of disease: a case report and literature review
Authors: Liberale Carlotta , Segato Erika , Sacchetto Andrea , Silvestrini Marina , Saetti Roberto 
Published: April 2023

AbstractOxidized cellulose is a hemostatic agent currently used in surgery. Foreign body reactions have been described after its use. This paper describes a foreign body reaction caused by oxidized cellulose in a young woman who underwent thyroid surgery. A patient underwent two thyroid surgeries for treatment of papillary carcinoma. Five years after the last surgery, an asymptomatic mass was detected with a routine ultrasound in the left thyroid cavity. After surgical removal, the mass turned out to be a foreign body granuloma based on oxidized cellulose sheets used in the previous surgery. The patient was discharged from the hospital without complications. The follow-up period was uneventful. Oxidized cellulose is a useful tool in surgery to control and prevent intra and post-operative bleeding. Even if it is a biodegradable material, sometimes it persists in the human body causing foreign body reactions that can be misdiagnosed.
Development of a deep pathomics score for predicting hepatocellular carcinoma recurrence after liver transplantation
Authors: Qu Wei-Feng , Tian Meng-Xin , Lu Hong-Wei , Zhou Yu-Fu , Liu Wei-Ren , Tang Zheng , Yao Zhao , Huang Run , Zhu Gui-Qi , Jiang Xi-Fei , Tao Chen-Yang , Fang Yuan , Gao Jun , Wu Xiao-Ling , Chen Jia-Feng , Zhao Qian-Fu , Yang Rui , Chu Tian-Hao , Zhou Jian , Fan Jia , Yu Jin-Hua , Shi Ying-Hong 
Published: April 2023

Abstract
Background and purpose
Tumor recurrence after liver transplantation (LT) impedes the curative chance for hepatocellular carcinoma (HCC) patients. This study aimed to develop a deep pathomics score (DPS) for predicting tumor recurrence after liver transplantation using deep learning.

Patients and methods
Two datasets of 380 HCC patients who underwent LT were enrolled. Residual convolutional neural networks were used to identify six histological structures of HCC. The individual risk score of each structure and DPS were derived by a modified DeepSurv network. Cox regression analysis and Concordance index were used to evaluate the prognostic significance. The cellular exploration of prognostic immune biomarkers was performed by quantitative and spatial proximity analysis according to three panels of 7-color immunofluorescence.

Results
The overall classification accuracy of HCC tissue was 97%. At the structural level, immune cells were the most significant tissue category for predicting post-LT recurrence (HR 1.907, 95% CI 1.490–2.440). The C-indices of DPS achieved 0.827 and 0.794 in the training and validation cohorts, respectively. Multivariate analysis for recurrence-free survival (RFS) showed that DPS (HR 4.795, 95% CI 3.017–7.619) was an independent risk factor. Patients in the high-risk subgroup had a shorter RFS, larger tumor diameter and a lower proportion of clear tumor borders. At the cellular level, a higher infiltration of intratumoral NK cells was negatively correlated with recurrence risk.

Conclusions
This study established an effective DPS. Immune cells were the most significant histological structure related to HCC recurrence. DPS performed well in post-LT recurrence prediction and the identification of clinicopathological features.
Alcohol consumption and breast cancer prognosis after breast cancer diagnosis: a systematic review and meta‑analysis of the Japanese Breast Cancer Society Clinical Practice Guideline, 2022 edition
Authors: Nomura Tsunehisa , Kawai Masaaki , Fukuma Yuna , Koike Yoshikazu , Ozaki Shinji , Iwasaki Motoki , Yamamoto Seiichiro , Takamatsu Kiyoshi , Okamura Hitoshi , Arai Masami , Ootani Shoichiro , Iwata Hiroji , Saji Shigehira 
Published: April 2023

AbstractAlcohol consumption is internationally recognized as one of the compelling risk factors for breast cancer, but it does not necessarily correlate with the prognosis of breast cancer patients. Alcohol consumption in breast cancer patients was addressed in the 2022 Breast Cancer Clinical Practice Guidelines. A systematic review and meta-analysis of epidemiological studies on alcohol consumption and breast cancer recurrence, breast cancer-related mortality, all-cause mortality, and cardiovascular disease mortality in breast cancer patients was performed. The PubMed, Cochrane Library, and Ichushi-Web databases were searched for relevant publications reporting cohort or case–control studies published until March 2021. A total of 33 studies (32 cohort studies and 1 case–control study) met the eligibility criteria; 4638 cases of recurrence, 12,209 cases of breast cancer-specific mortality, and 21,945 cases of all-cause mortality were observed. With regard to breast cancer recurrence, 7 studies assessed pre-diagnosis alcohol consumption (relative risk (RR) 1.02, 95% confidence interval (95% CI) 0.77–1.37, p = 0.88) and 3 studies assessed post-diagnosis alcohol consumption (RR 0.96, 95% CI 0.85–1.10, p = 0.57), and no significant increase or decrease in risk was observed. With regard to breast cancer-related mortality, 19 studies assessed pre-diagnosis alcohol consumption (RR 1.02, 95% CI 0.93–1.11, p = 0.69), 9 studies assessed post-diagnosis alcohol consumption (RR 0.96, 95% CI 0.77–1.19, p = 0.70), and no significant increase or decrease in risk was observed. With regard to all-cause mortality, 18 studies assessed pre-diagnosis alcohol consumption (RR 0.90, 95% CI 0.82–0.99, p = 0.02), 8 studies assessed post-diagnosis alcohol consumption (RR 0.88, 95% CI 0.74–1.02, p = 0.08), and pre-diagnosis alcohol consumption was associated with a significantly decreased risk. With regard to cardiovascular disease mortality and alcohol consumption, 2 studies assessed it, and the RRwas 0.47 (95% CI 0.28–0.79, p = 0.005), showing that alcohol consumption was associated with a significantly decreased risk. The limitations of this study are that drinking status was mainly based on a questionnaire survey, which is somewhat inaccurate and has many confounding factors, and the cut-off value for the maximum alcohol intake in many studies was low, and it is possible that the actual intake was only an appropriate amount. In many countries, a standard drinking amount is set, and wise decisions are required.
System dynamics model for improving the robustness of a fresh agri-food supply chain to disruptions
Authors: Esteso Ana , Alemany M. M. E. , Ottati Fernando , Ortiz Ángel 
Published: April 2023

AbstractThe agri-food sector is subject to various sources of uncertainty and risk that can have a negative impact on its supply chain performance if not properly managed. In order to determine what actions the supply chain (SC) should take to protect itself against risks, it is necessary to analyze whether the supply chain is robust to them. This paper proposes a tool based on a system dynamics model to determine the robustness of an already designed five-stage fresh agri-food supply chain (AFSC) and its planting planning to disruptions in demand, supply, transport, and the operability of its nodes. The model is validated using the known behavior replication test and the extreme conditions test. In order to guide decision-makers in the different uses of the above system dynamic model, a methodology for the improvement of the AFSC robustness is presented and applied to a case study. As a result, the SC robustness to the defined disruptions is provided. For critical disruptions, protective actions are defined. Finally, the model is re-run to evaluate the impact of these proactive strategies on the AFSC in order to finally select the most beneficial for improving its robustness.
Application of novel binary optimized machine learning models for monthly streamflow prediction
Authors: Adnan Rana Muhammad , Dai Hong-Liang , Mostafa Reham R. , Islam Abu Reza Md. Towfiqul , Kisi Ozgur , Elbeltagi Ahmed , Zounemat-Kermani Mohammad 
Published: April 2023

AbstractAccurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood forecasting, and best utilization of water resources in river engineering. The current paper presents the development and verification of the prediction abilities of new hybrid extreme learning machine (ELM)-based models coupling with metaheuristic methods, e.g., Particle swarm optimization (PSO), Mayfly optimization algorithm (MOA), Grey wolf optimization (GWO), and simulated annealing (SA) for monthly streamflow prediction. Prediction precision of standalone ELM model was compared with two-phase optimized state-of-the-arts models, e.g., ELM–PSO, ELM–MOA, ELM–PSOGWO, and ELM–SAMOA, respectively. Hydro-meteorological data acquired from Gorai and Padma Hardinge Bridge stations at Padma River Basin, northwestern Bangladesh, were utilized as inputs in this study to employ models in the form of seven different input combinations. The model’s performances are appraised using Nash–Sutcliffe efficiency, root-mean-square-error (RMSE), mean absolute error, mean absolute percentage error and determination coefficient. The tested results of both stations reported that the ELM–SAMOA and ELM–PSOGWO models offered the best accuracy in the prediction of monthly streamflows compared to ELM–PSO, ELM–MOA, and ELM models. Based on the local data, the ELM–SAMOA reduced the RMSE of ELM, ELM–PSO, ELM–MOA, and ELM–PSOGWO by 31%, 27%, 19%, and 14% for the Gorai station and by 29%, 27%, 19%, and 14% for Padma Hardinge bridge station, in the testing stage, respectively. In contrast, based on external data, ELM–PSOGWO improves in RMSE of ELM, ELM–PSO, ELM–MOA, and ELM–SAMOA by 20%, 5.1%, 6.2%, and 4.6% in the testing stage, respectively. The results confirmed the superiority of two-phase optimized ELM–SAMOA and ELM–PSOGWO models over a single ELM model. The overall results suggest that ELM–SAMOA and ELM–PSOGWO models can be successfully applied in modeling monthly streamflow prediction with either local or external hydro-meteorological datasets.
Calling for justice with #JusticeforBreonnaTaylor: a case study of hashtag activism in the evolution of the black lives matter movement
Authors: Chong Miyoung 
Published: April 2023

AbstractTaking a stage-based approach, before and after the release of the 15-h audio recording files of the grand jury’s inquiry on the Breonna Taylor case on October 2, 2020, this study examined the #JusticeforBreonnaTaylor Twitter networks. By employing multimethodology, including natural language processing, social network analysis, and qualitative textual analysis, I examined keys connectors of the two Twitter networks and investigated major themes conducting thematic analysis of network discourses and highly associated hashtags with the hashtag #JusticeforBreonnaTaylor. In both networks, several key stakeholders, such as Benjamin Crump, Danial Cameron, and Black women activists were identified as key connectors along with social activists and ordinary participants. Demanding justice to the case was the core agenda of the hashtag activism. The findings of the study revealed that the participants not only shared breaking news and important information but also organized protests and routinely tagged people to spread messages about the Taylor’s case on Twitter. The participants conversed major issues about the Taylor case and set the agendas for the next action, such as encouraging to take part in voting for the 2020 presidential election. The thematic analysis concurrently demonstrated that the network participants strongly demanded legal prosecution to the three Louisville cops that involved in the act of killing Breonna Taylor during the botched raid in her apartment.
Intellectual freedom and teaching performance assessment in Australia
Authors: Brownlee Patrick , McGraw Amanda , Talbot Deborah , Buchanan John 
Published: April 2023

AbstractThe requirement for Australian initial teacher education (ITE) providers to administer a Teaching Performance Assessment (TPA) highlights a tension between policymaking directives and academic independence. It has raised fears of entrenching simplistic notions of measurement and evidence into a professional field distinguished by its complex relationship with intellectual and academic labour. Drawing on focus group data and reflections of academics co-designing an Australian TPA, this study considers how intellectual labour intertwines with its operational field, wherein co-construction of knowledge, critical thinking, and reflection define both academic and teachers’ work. Our analysis explains how education academics, as principle-designers of an assessment instrument, might also negotiate the intellectual premise of a TPA within their own ITE programs. We find that Australia’s initial TPA policy framework has been mediated with ITE academics. This offers opportunities for building knowledge to understand more precisely the TPA in its contexts, including admissible evidence to measure classroom-readiness.