bluuebunny/crossref_metadata_2025_split huggingface dataset:
Legionella anisa or Legionella bozemanii? Traditional and molecular techniques as support in the environmental surveillance of a hospital water network
Authors: De Giglio Osvalda , D’Ambrosio Marilena , Spagnuolo Valentina , Diella Giusy , Fasano Fabrizio , Leone Carla Maria , Lopuzzo Marco , Trallo Valeria , Calia Carla , Oliva Marta , Pazzani Carlo , Iacumin Lucilla , Barigelli Sofia , Petricciuolo Maya , Federici Ermanno , Lisena Francesco Paolo , Minicucci Anna Maria , Montagna Maria Teresa 
Published: March 2023

AbstractUnderstanding the actual distribution of differentLegionellaspecies in water networks would help prevent outbreaks. Culture investigations followed by serological agglutination tests, with poly/monovalent antisera, still represent the gold standard for isolation and identification ofLegionellastrains. However, also MALDI-TOF andmip-gene sequencing are currently used. This study was conducted to genetically correlate strains ofLegionella non pneumophila(L-np) isolated during environmental surveillance comparing different molecular techniques. Overall, 346 water samples were collected from the water system of four pavilions located in a hospital of the Apulia Region of Italy. Strains isolated from the samples were then identified by serological tests, MALDI-TOF, andmip-gene sequencing. Overall, 24.9% of water samples were positive forLegionella, among which the majority wereLegionella pneumophila(Lpn) 1 (52.3%), followed byLpn2-15 (20.9%),L-np(17.4%),Lpn1 + Lpn2-15 (7.1%), andL-np + Lpn1 (2.3%). Initially,L-npstrains were identified asL. bozemaniiby monovalent antiserum, while MALDI-TOF andmip-gene sequencing assigned them toL. anisa. More cold water than hot water samples were contaminated byL. anisa(p < 0.001). PFGE, RAPD, Rep-PCR, and SAU-PCR were performed to correlateL. anisastrains. Eleven out of 14 strains identified in all four pavilions showed 100% of similarity upon PFGE analysis. RAPD, Rep-PCR, and SAU-PCR showed greater discriminative power than PFGE.
Constructive Electroactive 2D/2D MoS2-N-rGO and 1D/2D Bi2S3-N-rGO Heterostructure for Excellent Mo-Bi Supercapattery Applications
Authors: Elkatlawy Saeid M. , Sakr Abdelhamid A. , Wang John , Elshahawy Abdelnaby M. 
Published: March 2023

AbstractMetal sulfides including MoS2 and Bi2S3 materials, have been considered as a strong candidate for supercapacitor applications. However, the short-term stability and low surface area have limited the establishment of such eco-friendly materials in energy storage. In this work, an effective strategy is designed to in-situ combine transition metal sulfides with nitrogen doped reduced graphene oxide hydrogels and improve the overall supercapattery properties. Precisely, MoS2-N-rGO and Bi2S3-N-rGO hydrogels have been developed via hydrothermal route. The morphological analysis manifests two-dimensional 2D/2D heterostructure for the MoS2-N-rGO and 1D/2D heterostructure for the Bi2S3-N-rGO. The cyclic voltammetry studies showed a battery-like electrochemical behavior for the synthesized hydrogels. The calculated capacitance for MoS2-N-rGO and Bi2S3-N-rGO are about 438 F/g and 342 F/g @ 1 A/g with 50% and 41% of their capacitance initial values @ 20 A/g, respectively. The cycling performance showed that MoS2-N-rGO and Bi2S3-N-rGO can maintain 90% and 98% of their original specific capacitance after 1000 cycles life. Furthermore, the supercapattery device was fabricated using MoS2-N-rGO as cathode and Bi2S3-N-rGO as anode. The hybrid device is capable of offering 33.4 Wh/kg energy density, at 0.85 kW/kg power density, with 44.7% retention at 20 A/g. Notably, the overall electrochemical behavior of Mo-Bi supercapattery device is remarkable among the pointed behaviors for other hybrid devices.
Analysis of facial emotion expression in eating occasions using deep learning
Authors: Yildirim Elif , Akbulut Fatma Patlar , Catal Cagatay 
Published: March 2023

AbstractEating is experienced as an emotional social activity in any culture. There are factors that influence the emotions felt during food consumption. The emotion felt while eating has a significant impact on our lives and affects different health conditions such as obesity. In addition, investigating the emotion during food consumption is considered a multidisciplinary problem ranging from neuroscience to anatomy. In this study, we focus on evaluating the emotional experience of different participants during eating activities and aim to analyze them automatically using deep learning models. We propose a facial expression-based prediction model to eliminate user bias in questionnaire-based assessment systems and to minimize false entries to the system. We measured the neural, behavioral, and physical manifestations of emotions with a mobile app and recognize emotional experiences from facial expressions. In this research, we used three different situations to test whether there could be any factor other than the food that could affect a person’s mood. We asked users to watch videos, listen to music or do nothing while eating. This way we found out that not only food but also external factors play a role in emotional change. We employed three Convolutional Neural Network (CNN) architectures, fine-tuned VGG16, and Deepface to recognize emotional responses during eating. The experimental results demonstrated that the fine-tuned VGG16 provides remarkable results with an overall accuracy of 77.68% for recognizing the four emotions. This system is an alternative to today’s survey-based restaurant and food evaluation systems.
Reference Standards to Support Quality of Synthetic Peptide Therapeutics
Authors: McCarthy Diane , Han Ying , Carrick Kevin , Schmidt Dale , Workman Wesley , Matejtschuk Paul , Duru Chinwe , Atouf Fouad 
Published: March 2023

Abstract

Purpose
Peptides are an important class of therapeutics. Their quality is evaluated using a series of analytical tests, many of which depend on well-characterized reference standards to determine identity, purity, and strength.

Objective
Discuss approaches to producing peptide reference standards, including vialing, lyophilization, analytical testing and stability studies.

Methods
Case studies are used to illustrate analytical approaches to characterize reference standards, including methods for value assignment, content uniformity, and identity testing. Methods described include NMR, mass spectrometry, and chromatography techniques for identity testing and HPLC and GC methods for assessing peptide content and impurities.

Results
This report describes the analytical strategy used to establish peptide reference standard and illustrates how results from multiple labs are integrated to assign a value to the final lyophilized vial. A two-step process for value assignment is described, which uses a mass balance approach to assign a quantitative value to a bulk peptide material. The bulk material is then used as a standard to assign a final value to the vialed material. Testing to confirm peptide identity and to ensure consistency of the vialed material is also described. Considerations for addressing variability, identifying outliers, and implementing stability studies are also presented.

Conclusion
The methods and case studies described provide a benchmark for best practices in establishing the preparation, analytical testing, handling, and storage of peptide reference standards for the pharmaceutical industry. Some peptide features, such as chiral or isobaric amino acids, may require additional techniques to ensure a full characterization of the peptide reference standard.
Integrating the Consolidated Framework for Implementation Research (CFIR) into a Culturally Responsive Evaluation (CRE) Approach to Conduct Mixed-Method Evaluations of Diabetes Prevention and Management Programs Reaching Underresourced Populations and Communities
Authors: Jacobs Sara R. , Glasgow LaShawn , Amico Peter , Farris Kimberly D. , Rutledge Gia , Smith Bryce D. 
Published: March 2023

AbstractDiabetes is a significant population health threat. Evidence-based interventions, such as the Centers for Disease Control and Prevention’s National Diabetes Prevention Program and diabetes self-management education and support programs, can help prevent, delay, or manage the disease. However, participation is suboptimal, especially among populations who are at an increased risk of developing diabetes. Evaluations of programs reaching populations who are medically underserved or people with lower incomes can help elucidate how best to tailor evidence-based interventions, but it is also important for evaluations to account for cultural and contextual factors. Culturally responsive evaluation (CRE) is a framework for centering an evaluation in the culture of the programs being evaluated. We integrated CRE with implementation and outcome constructs from the Adapted Consolidated Framework for Implementation Research (CFIR) to ensure that the evaluation produced useful evidence for putting evidence-based diabetes interventions to use in real-world settings, reaching populations who are at an increased risk of developing diabetes. The paper provides an overview of how we integrated CRE and CFIR approaches to conduct mixed-methods evaluations of evidence-based diabetes interventions.
Sexual quality of life in young gynaecological cancer survivors: a qualitative study
Authors: Roussin Melanie , Lowe John , Hamilton Anita , Martin Lisa 
Published: March 2023

Abstract
Purpose
The impact of cancer diagnosis and treatment on sexual quality of life (SQoL) is a significant and often neglected issue in the treatment and survivorship period of young gynaecological cancer survivors (YGCS). This study sought to explore women’s lived experiences to understand how to protect and improve SQoL.

Methods
A qualitative study with women aged 18–45 and pre- or perimenopausal at diagnosis (n = 15). A thematic analysis was performed in NVivo. Participants also completed a pre-interview questionnaire and The Female Sexual Distress Scale-Revised (FSDS-R).

Results
YGCS experienced high psychosexual distress. Notably, seven themes were identified: adjustment, confidence, fear, loss, shame, trauma, and communication. Gynaecological cancer (GC) treatment interfered with everyday life and had a long-term impact on mental, physical, and emotional health, with many reporting an altered sense of self, body image and sexual identity. Single women felt vulnerable in new relationships, while partnered women reported low sexual desire and guilt about sexual difficulties. Open communication, emotional intimacy, and an acceptance of the ‘new normal’ buffered the trauma of cancer and were vital to relationship satisfaction. Lastly, absent, or blunt patient-clinician communication contributed to psychosexual distress.

Conclusion
GC interferes with sexual function, partner relationships, psychosexual wellbeing, and quality of life. A better understanding of the lived experiences of YGCS can help healthcare providers to adopt a holistic, patient-centric, and multidisciplinary approach to SQoL. YGCS want psychosexual communication and support, across all stages of treatment and care. Healthcare providers should initiate and normalise conversations on the impact of treatment on SQoL.
Are Rights of Nature Manifesto Rights (And is That a Problem)?
Authors: Baard Patrik 
Published: March 2023

AbstractThat nature, including insentient entities such as trees, rivers, or ecosystems, should be recognized as right-holders is an enticing thought that would have substantial practical repercussions. But the position finds little support from moral conceptions of rights and moral distinctions that have judicial relevance in the sense of providing normative reasons for legislation and assessing existing laws. An alternative to viewing rights of nature as proper rights resting on valid moral claims that ought to be legally recognized is to regard them as ‘manifesto’ rights. Such rights are based on political demands and hold even if there is no one with a corresponding duty to fulfill them. I investigate whether rights of nature can be considered manifesto rights. Some objections to regarding rights of nature as manifesto rights will be considered, such as difficulties of delimiting the borders of an environmental entity and making successful analogies with existing (human) rights based on interests and needs. It will be suggested that while some of those challenges can be mitigated by custodianship, it is not clear what needs of insentient entities in nature would justify such claims. It is found that rights of nature depend substantially on legitimate custodians both for delineation of the entity in question and for establishing interest-like characteristics. But rights of nature are not manifesto rights when there is a legitimate custodian having the possibility of evoking duties in others. However, the need for a legitimate custodian in delimitation and establishing normatively relevant characteristics of specific environmental entities defeats universal appeals to rights of nature.
EIDM: deep learning model for IoT intrusion detection systems
Authors: Elnakib Omar , Shaaban Eman , Mahmoud Mohamed , Emara Karim 
Published: March 2023

AbstractInternet of Things (IoT) is a disruptive technology for the future decades. Due to its pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion Detection Systems (IDSs) for IoT is pertinent. The viability of machine learning has encouraged analysts to apply learning techniques to intelligently discover and recognize cyber attacks and unusual behavior among the IoTs. This paper proposes an enhanced anomaly-based Intrusion Detection Deep learning Multi-class classification model (EIDM) that can classify 15 traffic behaviors including 14 attack types with the accuracy of 95% contained in the CICIDS2017 dataset. Four state-of-the-art deep learning models are also customized to classify six classes of network traffic behavior. An extensive comparative study in terms of classification accuracy and efficiency metrics is conducted between EIDM and several state-of-the-art deep learning-based IDSs showing that EIDM has achieved accurate detection results.
Shape analysis of sand particles based on Fourier descriptors
Authors: Yan Tianxi , Liu Yahong , Wei Dong , Sun Xiaofan , Liu Qing 
Published: March 2023

AbstractParticle shape greatly influences the mechanical behavior of geotechnical materials. For a specific material, for example, a sand particle, it remains an open question how to provide a comprehensive quantitative information about the particle shape. While Fourier descriptors, as a sequence of good shape descriptors, are well addressed in the literature, approaches mainly aim at pattern recognition in the field of computer vision. In this paper, Fourier descriptors are used to analyze the particle shape of geotechnical material. A total of 600 sand particles were collected from the Hutuo River, the main water resource of Shijiazhuang County, Hebei Province. Several shape descriptors, elongation, circularity, convexity, and roughness, are identified and further analyzed statistically. The Andrews plot of Fourier descriptors can be used to discriminate the sand samples. And it is convenient to use Fourier descriptors to reconstruct sand particles. A functional relationship between Fourier descriptorsDkandk, the frequency of thekth components is proved to exist. Moreover, the relationship between shape descriptors and Fourier descriptors is investigated in a correlation analysis. The elongation has a moderate correlation with Fourier descriptors ofD1.
The characteristics of PM emissions from construction sites during the earthwork and foundation stages: an empirical study evidence
Authors: Yan Hui , Li Qiqi , Feng Kailun , Zhang Lei 
Published: March 2023

AbstractThe bulk of the particulate matter (PM) emissions generated during construction projects are significantly released during the earthwork and foundation stages. To reduce and control these emissions, it is necessary to have reliable data on their characteristics. However, construction PM are poorly characterized because their composition depends on several factors (e.g., weather and reduction measures) and various on-site activities whose effects may interact. To address these challenges, a long-term quantitative empirical study using advanced statistical methods was performed on a real construction project during the whole earthwork and foundation stages. The upwind-downwind method was used to collect data on PM emissions throughout the earthwork and foundation construction process, and correlation analysis, paired samples t-test, and partial least squares regression (PLS) were used to analyze TSP, PM10, and PM2.5 emissions and their relationships with various influencing factors. The results showed that both earthwork and foundation constructions generate substantial PM emissions because there were differences with statistical significances in the PM levels measured upwind and downwind of the construction site. TSP and PM10 emissions correlated moderately with humidity and wind speed. However, temperature and atmospheric pressure did not correlate significantly with any of the measured emissions. The main activities responsible for PM emissions during the earthwork and foundation construction stages were hammer piling, waste stacking, and materials transportation. Water spraying was found to effectively reduce TSP and PM10 emissions, while the use of a fog cannon more effectively reduced PM2.5 emissions. Construction PM is an important source of atmospheric pollution in cities; the findings presented herein provide cornerstone and knowledge to guide efforts for reducing its impact.
‘Thinking About How We Think’: Using Bourdieu’s Epistemic Reflexivity to Reduce Bias in International Business Research
Authors: Guttormsen David S. A. , Moore Fiona 
Published: March 2023

AbstractThe paper advances epistemic reflexivity as a methodological process for dealing with knowledge biases in International Business research. By drawing upon Bourdieu’s (1989) reflexive sociology, the paper develops an epistemic form of reflexivity that moves beyond the limiting focus on the researcher’s social background and interpersonal relations with the researched, towards the conditions of knowledge production contained in the researcher’s subjective role as well as intellectual bias and positioning. Such an approach enhances trustworthiness and credibility in all research processes (qualitative, quantitative, mixed and multimethod), through a systematic exploration of social scientific claims. This can be achieved by the IB researcher scrutinising their own Self, cultural practices, biases and ‘unthought categories of thought’, which, if not problematised, may limit our understanding of other peoples’ ‘social reality’ and the IB phenomena that we investigate. The paper contributes to IB research methods literature by developing an epistemic theoretical foundation for reflexivity in addition to devising a methodological process for researchers to intellectually engage with, comprising of six reflexive, self-interrogating ‘thinking tasks’.
Four-dimensional quantitative analysis using FDG-PET in clinical oncology
Authors: Tamaki Nagara , Hirata Kenji , Kotani Tomoya , Nakai Yoshitomo , Matsushima Shigenori , Yamada Kei 
Published: March 2023

AbstractPositron emission tomography (PET) with F-18 fluorodeoxyglucose (FDG) has been commonly used in many oncological areas. High-resolution PET permits a three-dimensional analysis of FDG distributions on various lesions in vivo, which can be applied for tissue characterization, risk analysis, and treatment monitoring after chemoradiotherapy and immunotherapy. Metabolic changes can be assessed using the tumor absolute FDG uptake as standardized uptake value (SUV) and metabolic tumor volume (MTV). In addition, tumor heterogeneity assessment can potentially estimate tumor aggressiveness and resistance to chemoradiotherapy. Attempts have been made to quantify intratumoral heterogeneity using radiomics. Recent reports have indicated the clinical feasibility of a dynamic FDG PET-computed tomography (CT) in pilot cohort studies of oncological cases. Dynamic imaging permits the assessment of temporal changes in FDG uptake after administration, which is particularly useful for differentiating pathological from physiological uptakes with high diagnostic accuracy. In addition, several new parameters have been introduced for the in vivo quantitative analysis of FDG metabolic processes. Thus, a four-dimensional FDG PET-CT is available for precise tissue characterization of various lesions. This review introduces various new techniques for the quantitative analysis of FDG distribution and glucose metabolism using a four-dimensional FDG analysis with PET-CT. This elegant study reveals the important role of tissue characterization and treatment strategies in oncology.
Advanced Neuromonitoring Modalities on the Horizon: Detection and Management of Acute Brain Injury in Children
Authors: Ko Tiffany S. , Catennacio Eva , Shin Samuel S. , Stern Joseph , Massey Shavonne L. , Kilbaugh Todd J. , Hwang Misun 
Published: March 2023

AbstractTimely detection and monitoring of acute brain injury in children is essential to mitigate causes of injury and prevent secondary insults. Increasing survival in critically ill children has emphasized the importance of neuroprotective management strategies for long-term quality of life. In emergent and critical care settings, traditional neuroimaging modalities, such as computed tomography and magnetic resonance imaging (MRI), remain frontline diagnostic techniques to detect acute brain injury. Although detection of structural and anatomical abnormalities remains crucial, advanced MRI sequences assessing functional alterations in cerebral physiology provide unique diagnostic utility. Head ultrasound has emerged as a portable neuroimaging modality for point-of-care diagnosis via assessments of anatomical and perfusion abnormalities. Application of electroencephalography and near-infrared spectroscopy provides the opportunity for real-time detection and goal-directed management of neurological abnormalities at the bedside. In this review, we describe recent technological advancements in these neurodiagnostic modalities and elaborate on their current and potential utility in the detection and management of acute brain injury.
Opposition zum Beschulungsnormativ
Authors: Böder Tim 
Published: March 2023

ZusammenfassungDas Wichtigste in Kürze: Der Beitrag stellt Ergebnisse einer Studie zu Eltern vor, die sich der so genannten „Freilernerbewegung“ in Deutschland zuordnen und sich dem gesellschaftlich tief verankerten Beschulungsnormativ entgegenstellen.