bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Efficient Novel Electrochemical Sensor for Simultaneous Determination of Vitamin C and Aspirin Based on a PMR/Zn‐Al LDH/GCE
Authors: Abo‐bakr A. M. , Abd‐Elsabour M. , Abou‐Krisha M. M. 
Published: September 2021

AbstractA sensitive, low‐cost, and simple electrochemical sensor based on Zn−Al layered double hydroxide (Zn−Al LDH) combined with a polymer film of methyl red (PMR) to modify a GCE has been created for the first time. Using cyclic voltammetry (CV), the electrochemical characteristics of the newly fabricated sensor were investigated. The characterised PMR/Zn−Al LDH/GCE shows high electro‐catalytic activity towards the vitamin C (AA) and aspirin (ASA) oxidation. Schematic fabrication of PMR/Zn−Al LDH/GCE for the determination of AA or ASA was presented. The new sensor demonstrated superior analytical efficiency for the simultaneous identification of AA and ASA traces in well‐spaced anodic peaks, even in the presence of certain intervening species. According to experimental results, the fabricated sensor represented two well‐separated oxidation peaks for AA and ASA oxidation with potential difference of 799 mV (vs. Ag/AgCl). The linear dependences of the anodic peak currents of AA and ASA on their concentrations in the ranges of 0.10–53.17 μM are good. The detection limits of AA and ASA at the PMR/Zn−Al LDH/GCE were found to be 1.26 and 1.27 μM, respectively. Meanwhile, the quantification limits of AA and ASA were calculated as 4.21 and 4.25 μM, respectively. On other hand, the limit of detection (LODs) of AA and ASA oxidation were determined to be 0.47 and 0.21 μM, respectively, according to DPV method. The effect of scan rate (100 to 800 mV/s) on the anodic peak currents of AA and ASA was examined. A sensing model mechanism has been suggested and discussed in detail. Finally, the proposed sensor displayed a good reproducibility, stability and selectivity. The developed sensor was eventually used to successfully detect AA and ASA in urine samples.
Pain in acute motor axonal neuropathy
Authors: Zhao Fei , Wang Juan , Zhang Jing , Pang Xiaomin , Huang Shan , Chang Xueli , Guo Junhong , Zhang Wei 
Published: September 2021

AbstractIntroduction/AimsPatients with acute motor axonal neuropathy (AMAN) generally have pure motor neuropathy and clinicians usually do not link pain with AMAN. The aim of this retrospective study was to describe the character, location, and intensity of pain in AMAN and acute inflammatory demyelinating polyneuropathy (AIDP) in the acute phase.MethodsThis was a retrospective study in 44 patients with Guillain‐Barré syndrome (GBS) having progressive weakness of more than one limb. The information, including the demographic characteristics, preceding infections, clinical symptoms and signs, severity at nadir, the characteristics of pain, use of analgesics, laboratory and electrophysiological data, and the medical treatment for GBS, were collected from the medical records.ResultsIn 44 patients, 40.9% were diagnosed as AMAN, and 34.1% as AIDP. Pain was more prevalent in AMAN (76.5%) than in AIDP (26.7%, P = .02). Low back and extremities were the most common locations of pain in AMAN (7/13 and 7/13, respectively) and AIDP (2/4 and 2/4, respectively).DiscussionPain was a common symptom in AMAN in the acute stage. The presence or absence of pain is not useful for distinguishing AIDP from AMAN.
Artificial intelligence strategy integrating morphologic and architectural biomarkers provides robust diagnostic accuracy for disease progression in chronic lymphocytic leukemia
Authors: El Hussein Siba , Chen Pingjun , Medeiros L Jeffrey , Wistuba Ignacio I , Jaffray David , Wu Jia , Khoury Joseph D 
Published: September 2021

AbstractArtificial intelligence‐based tools designed to assist in the diagnosis of lymphoid neoplasms remain limited. The development of such tools can add value as a diagnostic aid in the evaluation of tissue samples involved by lymphoma. A common diagnostic question is the determination of chronic lymphocytic leukemia (CLL) progression to accelerated CLL (aCLL) or transformation to diffuse large B‐cell lymphoma (Richter transformation; RT) in patients who develop progressive disease. The morphologic assessment of CLL, aCLL, and RT can be diagnostically challenging. Using established diagnostic criteria of CLL progression/transformation, we designed four artificial intelligence‐constructed biomarkers based on cytologic (nuclear size and nuclear intensity) and architectural (cellular density and cell to nearest‐neighbor distance) features. We analyzed the predictive value of implementing these biomarkers individually and then in an iterative sequential manner to distinguish tissue samples with CLL, aCLL, and RT. Our model, based on these four morphologic biomarker attributes, achieved a robust analytic accuracy. This study suggests that biomarkers identified using artificial intelligence‐based tools can be used to assist in the diagnostic evaluation of tissue samples from patients with CLL who develop aggressive disease features. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Synthesis, characterization and biological activity of bifunctional ionic liquids based on dodine ion
Authors: Kukawka Rafal , Spychalski Maciej , Stróżyk Ewa , Byzia Ewa , Zajac Adrian , Kaczyński Piotr , Łozowicka Bożena , Pospieszny Henryk , Smiglak Marcin 
Published: September 2021

AbstractBACKGROUNDDevelopment of new plant protection strategies has become an urgent matter in modern agriculture, in view of the evidently proved negative effect of currently used active ingredients of pesticides. In recent years, much effort has been made to eliminate the use of pesticides established to be toxic to pollinators.RESULTSIn this study, we present a group of new bifunctional ionic liquids based on dodine (N‐dodecylguanidine) cation whose physical and biological properties have been modified relative to those of the commercially available N‐dodecylguanidine acetate. The decreased level of residue of active substances in plant tissues reduces their availability to pollinators, which increases the safety of their use. Moreover, lower environmental impact in combination with high antifungal activity and an additional biological function, that is the systemic acquired resistance induction, are in line with the goals of sustainable agriculture.CONCLUSIONThe presented approach shows the possibility of derivatization of commonly used fungicide into the form of bifunctional salts whose physical and biological properties can be easily modified. The paper reports successful design and synthesis of new sustainable and green chemicals for the modern agriculture, being less toxic to the environment and human health but still effective against pathogens. © 2021 Society of Chemical Industry.
Hyperbaric oxygen therapy for extensive wounds in a Bengal kitten
Authors: Milich Kelsey , Dong Charli 
Published: September 2021

AbstractA five‐month‐old Bengal kitten was presented for symmetric extensive wounds of unknown origin on the caudomedial thighs. The location of the wounds plus the patient's age and temperament made bandaging for open wound management challenging. Cutaneous wounds in cats have been shown to heal slower than dogs. The kitten completed 17 hyperbaric oxygen therapy sessions, with full closure of wounds by day 31. Hyperbaric oxygen therapy has long been used in human medicine for both acute and chronic wounds, and many publications are available on its mechanisms of action. This case emphasizes the potential benefits of hyperbaric oxygen therapy in wound healing in cats.
The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
Authors: Torous John , Bucci Sandra , Bell Imogen H. , Kessing Lars V. , Faurholt‐Jepsen Maria , Whelan Pauline , Carvalho Andre F. , Keshavan Matcheri , Linardon Jake , Firth Joseph 
Published: September 2021

As the COVID‐19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies – such as smartphone apps, vir­tual reality, chatbots, and social media – have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological advances to mental health research and care, by detailing how smartphones, social media, artificial intelligence and virtual reality present new opportunities for “digital phenotyping” and remote intervention. Second, we review the current evidence for the use of these new technological approaches across different mental health contexts, covering their emerging efficacy in self‐management of psychological well‐being and early intervention, along with more nascent research supporting their use in clinical management of long‐term psychiatric conditions – including major depression; anxiety, bipolar and psychotic disorders; and eating and substance use disorders – as well as in child and adolescent mental health care. Third, we discuss the most pressing challenges and opportunities towards real‐world implementation, using the Integrated Promoting Action on Research Implementation in Health Services (i‐PARIHS) framework to explain how the innovations themselves, the recipients of these innovations, and the context surrounding innovations all must be considered to facilitate their adoption and use in mental health care systems. We conclude that the new technological capabilities of smartphones, artificial intelligence, social media and virtual reality are already changing mental health care in unforeseen and exciting ways, each accompanied by an early but promising evidence base. We point out that further efforts towards strengthening implementation are needed, and detail the key issues at the patient, provider and policy levels which must now be addressed for digital health technologies to truly improve mental health research and treatment in the future.
The clinical characterization of the adult patient with an anxiety or related disorder aimed at personalization of management
Authors: Stein Dan J. , Craske Michelle G. , Rothbaum Barbara O. , Chamberlain Samuel R. , Fineberg Naomi A. , Choi Karmel W. , de Jonge Peter , Baldwin David S. , Maj Mario 
Published: September 2021

The clinical construct of “anxiety neurosis” was broad and poorly defined, so that the delineation of specific anxiety disorders in the DSM‐III was an important advance. However, anxiety and related disorders are not only frequently comorbid, but each is also quite heterogeneous; thus diagnostic manuals provide only a first step towards formulating a management plan, and the development of additional decision support tools for the treatment of anxiety conditions is needed. This paper aims to describe systematically important domains that are relevant to the personalization of management of anxiety and related disorders in adults. For each domain, we summarize the available research evidence and review the relevant assessment instruments, paying special attention to their suitability for use in routine clinical practice. We emphasize areas where the available evidence allows the clinician to personalize the management of anxiety conditions, and we point out key unmet needs. Overall, the evidence suggests that we are becoming able to move from simply recommending that anxiety and related disorders be treated with selective serotonin reuptake inhibitors, cognitive‐behavioral therapy, or their combination, to a more complex approach which emphasizes that the clinician has a broadening array of management modalities available, and that the treatment of anxiety and related disorders can already be personalized in a number of important respects.
Overview of Nutrition Care in Geriatrics and Orthogeriatrics
Authors: Geirsdóttir Ólöf G. , Hertz Karen , Santy-Tomlinson Julie , Johansen Antony , Bell Jack J. 
Published: September 2021

AbstractEngaging older adults, and all those who care for them, is pivotal to providing high-value nutrition care for older adults. Nurses and other interdisciplinary team members are essential to this process. The aim of this chapter is to provide an overview of the rationale and evidence for interdisciplinary and systematised nutrition care as an effective nutrition care approach for older adults with or at risk of malnutrition. This chapter also serves as a guide to detailed chapters across this book to provide focal points on different aspects of nutrition care that should be considered across primary prevention, acute care, rehabilitation, secondary prevention and community settings (Dreinhöfer et al., Injury 49(8):1393–1397, 2018).
Delivering Interprofessional Education to Embed Interdisciplinary Collaboration in Effective Nutritional Care
Authors: Santy-Tomlinson Julie , Laur Celia V. , Ray Sumantra 
Published: September 2021

AbstractPrevious and forthcoming chapters describe how to improve nutrition care with an emphasis on interdisciplinary approaches. Developing and improving the skills and knowledge of the interdisciplinary team through interprofessional education are essential for embedding evidence-based, collaborative, nutritional care. This capacity building in turn supports delivery of effective nutritional care for older adults.
Nutrition and Delirium
Authors: Mudge Alison , Young Adrienne , Cahill Margaret , Treleaven Elise , Spirgienė Lina 
Published: September 2021

AbstractDelirium is a common and serious complication in hospitalised older people. Poor nutrition and hydration are both risk factors for, and consequences of, delirium. This chapter will discuss the phenomenology of delirium and the role of nurses in recognising, preventing and managing this serious complication. It will also provide practical strategies to support nutrition and hydration in patients with, or at risk of, delirium.
Nutritional Assessment, Diagnosis, and Treatment in Geriatrics
Authors: Holst Mette , Beck Anne Marie 
Published: September 2021

AbstractThe purpose of this chapter is to share knowledge about terminology and best practice approaches for the nutrition care process, including nutritional screening, assessment, diagnosis, intervention, and monitoring. This will focus on nutrition care for older adults with or at risk of malnutrition, in their own home, hospital, or caring facilities.
Supporting Nutrition Care in Older Adults: An Essential Component of ‘Best Practice’ Nursing
Authors: Spirgienė Lina , Damulevičienė Gytė , Bales Gabriele , Bell Jack J. 
Published: September 2021

AbstractEvidence-based guidelines, recommendations and standards are considered the cornerstone of ‘best practice’ in nursing care. However, what optimal nutrition care of older adults actually looks like in real-world settings is also dependent on age, disease and care contexts and, perhaps most importantly, what matters to the older adult.
Theoretical and Methodological Validation of the Action Research: Methodology of the Scientific Study
Authors: Monkevičienė Ona , Galkienė Alvyra 
Published: September 2021

AbstractThis chapter presents the theoretical and methodological substantiation of the action research, which was used by collaborating research teams from Poland, Lithuania, Finland and Austria for the study “Improving Inclusive Education Through Universal Design for Learning”. The chapter discusses different sociocultural contexts in the participating countries and what led to the research question, which asks “How does the implementation of universal design for learning enrich the practice of inclusive education in different educational contexts”. This question was looked at in terms of its relevance to the four above-mentioned countries. It can be argued that the action research is favourable for the development of theory and that inclusive education can be changed and reflected by it. The types of action research chosen by the research teams are discussed, those being collaborative, and critical participatory. The cycles of action research and their goals are also presented. Seeking to substantiate the choices of research teams regarding the process and methods of action research, this chapter elaborates on the aspects of action research organisation that are interpreted differently by the researchers: Can the action research be conducted only by the researcher–teachers or can it be carried out by teachers in cooperation with researchers? Is it possible to use a combination of qualitative and quantitative research? The problem with quality and validity of action research is discussed.
Development of Knowledgeable and Resourceful Learners
Authors: Galkienė Alvyra , Monkevičienė Ona 
Published: September 2021

AbstractThis chapter introduces a study carried out in the context of the transformation of the Lithuanian education system towards inclusive education, with the aim of revealing the educational factors that contribute to students becoming knowledgeable and resourceful expert learners in the universal design for learning (UDL) approach. The UDL framework was chosen as a systematic reasoning instrument for the teacher and the school, aiding in achieving the development of expert learner qualities in every student in the general education context and ensuring the quality of inclusive education. The chapter briefly introduces the theoretical approach of the research, the context of Lithuanian education and the school where the research took place, which is relevant for the interpretation of the results, and other important methodological aspects. The research data show that applying the UDL approach helped the teachers to modify the educational process in order to develop in students the qualities of knowledgeable and resourceful expert learners. The results, presented in a structured manner in the chapter, reveal the process and contributing educational factors to students’ becoming actively perceiving, self-directed, knowledge-creating and co-creating learners and learners constructing their own deep comprehension. The research data reveal the methods used by the teachers to recognise and overcome the barriers in cultivating these qualities in their students. We also identified the emerging changes in teachers’ dispositions when applying the UDL approach and designing lessons aimed at promoting the qualities of knowledgeable and resourceful expert learners.
Implementing UDL: Development of Purposeful and Motivated Students
Authors: Stasiūnaitienė Eglė , Navaitienė Julita 
Published: September 2021

AbstractThe assurance of purposeful and motivated learning activities in educational practice has been explored for many years. The essence of purposeful learning, which combines the goals of both teachers and learners, is to focus the participants of the pedagogical process on positive pedagogical interactions and mutual progress. The learner receives a package of knowledge, skills, behaviour and values important for socialisation from the teacher, whereas the teacher ensures confirmation of the quality of their own activity through pedagogical interactions. This chapter presents the results of a study aiming to answer two research questions: (1) What qualities and abilities of a purposeful and motivated expert learner are developed by applying the universal design for learning (UDL) approach? (2) How do educational factors facilitate the development of a purposeful and motivated expert learner by applying the UDL approach? In answering these questions, the processes occurring in the context of Lithuanian education were studied.
Spatial Justice Models: An Exploratory Analysis on Fair Distribution of Opportunities
Authors: Feitosa Fillipe Oliveira , Wolf Jan-Hendrik , Marques João Lourenço 
Published: September 2021

AbstractEquity, fairness, and justice are related concepts widely discussed in several areas of study but remain an open field in terms of spatial justice and support decision systems application. Uneven spatial development have shown a tendency to amplify social inequalities alongside territories. To better understand the spatial configuration and spatial distribution of resources for different social groups, multiple objective criteria can be used to formulate optimal resource allocation. This work discusses spatial justice by utilitarianism and Rawlsian difference principle perspectives to formulate two models based on facility location problem (FLP) framework. Assuming the proximity to a desired opportunity (service or resource) as a measure of wellbeing and satisfaction, we weight the distances to the nearest facility by a social factor based on exponential function. Optimization results tend to favor outliers for weighted FLP, while the regular distances FLP formulation tend to favor heavy urban areas. We found that results are heavy context based, as the distribution of social groups are determinant in optimization process.
Spatial Automated Valuation Model (sAVM) – From the Notion of Space to the Design of an Evaluation Tool
Authors: Marques João Lourenço , Batista Paulo , Castro Eduardo Anselmo , Bhattacharjee Arnab 
Published: September 2021

AbstractAssuming that it is not possible to detach a dwelling from its location, this article highlights the relevance of space in the context of housing market analysis and the challenge of capturing the key elements of spatial structure in an automated valuation model: location attributes, heterogeneity, dependence and scale. Thus, the aim is to present a spatial automated valuation model (sAVM) prototype, which uses spatial econometric models to determine the value of a residential property, based on identification of eight housing characteristics (seven are physical attributes of a dwelling, and one is its location; once this spatial data is known, dozens of new variables are automatically associated with the model, producing new and valuable information to estimate the price of a housing unit). This prototype was developed in a successful cooperation between an academic institution (University of Aveiro) and a business company (PrimeYield SA), resulting the Prime AVM & Analytics product/service. This collaboration has provided an opportunity to materialize some of fundamental knowledge and research produced in the field of spatial econometric models over the last 15 years into decision support tools.