bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methodological approaches to study context in intervention implementation studies: an evidence gap map
Authors: Mielke Juliane , Brunkert Thekla , Zúñiga Franziska , Simon Michael , Zullig Leah L. , De Geest Sabina 
Published: December 2022

AbstractBackgroundWithin implementation science studies, contextual analysis is increasingly recognized as foundational to interventions' successful and sustainable implementation. However, inconsistencies between methodological approaches currently limit progress in studying context and guidance to standardize the use of those approaches is scant. Therefore, this study's objective was to systematically review and map current methodological approaches to contextual analysis in intervention implementation studies. The results would help us both to systematize the process of contextual analysis and identify gaps in the current evidence.MethodsWe conducted an evidence gap map (EGM) based on literature data via a stepwise approach. First, using an empirically developed search string, we randomly sampled 20% of all intervention implementation studies available from PubMed per year (2015–2020). Second, we assessed included studies that conducted a contextual analysis. Data extraction and evaluation followed the Basel Approach for CoNtextual ANAlysis (BANANA), using a color-coded rating scheme. Also based on BANANA and on the Context and Implementation of Complex Interventions (CICI) framework–an implementation framework that pays ample attention to context– we created visual maps of various approaches to contextual analysis.ResultsOf 15, 286 identified intervention implementation studies and study protocols, 3017 were screened for inclusion. Of those, 110 warranted close examination, revealing 22% that reported on contextual analysis.Only one study explicitly applied a framework for contextual analysis. Data were most commonly collected via surveys (n = 15) and individual interviews (n = 13). Ten studies reported mixed-methods analyses. Twenty-two assessed meso-level contextual and setting factors, with socio-cultural aspects most commonly studied. Eighteen described the use of contextual information for subsequent project phases (e.g., intervention development/adaption, selecting implementation strategies). Nine reported contextual factors' influences on implementation and/or effectiveness outcomes.ConclusionsThis study describes current approaches to contextual analysis in implementation science and provides a novel framework for evaluating and mapping it. By synthesizing our findings graphically in figures, we provide an initial evidence base framework that can incorporate new findings as necessary. We strongly recommend further development of methodological approaches both to conduct contextual analysis and to systematize the reporting of it. These actions will increase the quality and consistency of implementation science research.
A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images
Authors: Du Lixin , Yuan Jianpeng , Gan Meng , Li Zhigang , Wang Pan , Hou Zujun , Wang Cong 
Published: December 2022

Abstract
Purpose
To compare a deep learning model with a radiomics model in differentiating high-grade (LR-3, LR-4, LR-5) liver imaging reporting and data system (LI-RADS) liver tumors from low-grade (LR-1, LR-2) LI-RADS tumors based on the contrast-enhanced magnetic resonance images.

Methods
Magnetic resonance imaging scans of 361 suspected hepatocellular carcinoma patients were retrospectively reviewed. Lesion volume segmentation was manually performed by two radiologists, resulting in 426 lesions from the training set and 83 lesions from the test set. The radiomics model was constructed using a support vector machine (SVM) with pre-defined features, which was first selected using Chi-square test, followed by refining using binary least absolute shrinkage and selection operator (LASSO) regression. The deep learning model was established based on the DenseNet. Performance of the models was quantified by area under the receiver-operating characteristic curve (AUC), accuracy, sensitivity, specificity and F1-score.

Results
A set of 8 most informative features was selected from 1049 features to train the SVM classifier. The AUCs of the radiomics model were 0.857 (95% confidence interval [CI] 0.816–0.888) for the training set and 0.879 (95% CI 0.779–0.935) for the test set. The deep learning method achieved AUCs of 0.838 (95% CI 0.799–0.871) for the training set and 0.717 (95% CI 0.601–0.814) for the test set. The performance difference between these two models was assessed by t-test, which showed the results in both training and test sets were statistically significant.

Conclusion
The deep learning based model can be trained end-to-end with little extra domain knowledge, while the radiomics model requires complex feature selection. However, this process makes the radiomics model achieve better performance in this study with smaller computational cost and more potential on model interpretability.
‘They said, let’s teach you how you are going to care for the child at home…’: caregivers’ and healthcare worker’s perceptions and experiences of post-discharge preterm care in eastern Uganda
Authors: Lyne Holly , Burgoine Kathy , Ogara Collin , Ditai James , Gladstone Melissa 
Published: December 2022

Abstract
Background
Complications of prematurity are the leading cause of neonatal mortality, and the majority of these deaths occur in low and middle-income countries. Research in these settings has focused on improved outcomes for preterm infants in hospital settings, however, research into the continuation of preterm care in the home after discharge from a neonatal unit is limited. This study examines the experiences and perceptions of caregivers of preterm infants during the initial weeks following discharge from a neonatal unit in Uganda, and the views of healthcare workers (HCWs) on the ability of caregivers to cope.

Methods
This qualitative study used multiple data collection approaches, namely focus group discussions (FGDs), in-depth interviews (IDIs), field observations, and case studies to explore the perceptions and experiences of providing care to preterm infants post-discharge from a neonatal unit in eastern Uganda from the perspectives of caregivers and HCWs.

Results
We recruited 39 participants with a total of 35 separate sessions including 18 IDIs (12 caregivers and 6 HCWs), 3 FGDs (17 caregivers), and 4 case studies (14 separate IDIs over 5 weeks after discharge, three mothers, and one grandmother). IDIs and FGDs took place at the Mbale Regional Referral Hospital or in participants’ homes.
Key themes emerged; preparation for continuing care in the home, psychosocial challenges to providing preterm care in the home, barriers to continuing preterm care in the home, and suggestions for improvement of preterm care in the home. Caregivers had good knowledge and awareness about different aspects of preterm care. Following discharge, caregivers struggled to maintain quality care due to loss of continuous support from the neonatal team, feelings of anxiety and isolation, financial issues, and home responsibilities.

Conclusion
This study highlights multiple challenges to continuing preterm care in this Ugandan setting. Improved training and education for caregivers, especially in neonatal resuscitation, enhanced and continued support of the caregiver and infant in the home, and increased community involvement following discharge may all be key solutions. These findings are fundamental to improving care in the home for preterm infants in eastern Uganda and similar settings.
Biological and pharmacological roles of m6A modifications in cancer drug resistance
Authors: Liu Zaoqu , Zou Haijiao , Dang Qin , Xu Hui , Liu Long , Zhang Yuyuan , Lv Jinxiang , Li Huanyun , Zhou Zhaokai , Han Xinwei 
Published: December 2022

AbstractCancer drug resistance represents the main obstacle in cancer treatment. Drug-resistant cancers exhibit complex molecular mechanisms to hit back therapy under pharmacological pressure. As a reversible epigenetic modification, N6-methyladenosine (m6A) RNA modification was regarded to be the most common epigenetic RNA modification. RNA methyltransferases (writers), demethylases (erasers), and m6A-binding proteins (readers) are frequently disordered in several tumors, thus regulating the expression of oncoproteins, enhancing tumorigenesis, cancer proliferation, development, and metastasis. The review elucidated the underlying role of m6A in therapy resistance. Alteration of the m6A modification affected drug efficacy by restructuring multidrug efflux transporters, drug-metabolizing enzymes, and anticancer drug targets. Furthermore, the variation resulted in resistance by regulating DNA damage repair, downstream adaptive response (apoptosis, autophagy, and oncogenic bypass signaling), cell stemness, tumor immune microenvironment, and exosomal non-coding RNA. It is highlighted that several small molecules targeting m6A regulators have shown significant potential for overcoming drug resistance in different cancer categories. Further inhibitors and activators of RNA m6A-modified proteins are expected to provide novel anticancer drugs, delivering the therapeutic potential for addressing the challenge of resistance in clinical resistance.
Telemedicine interventions in six conflict-affected countries in the WHO Eastern Mediterranean region: a systematic review
Authors: Parkes Pylin , Pillay Timesh D. , Bdaiwi Yamama , Simpson Remi , Almoshmosh Nadim , Murad Lina , Abbara Aula 
Published: December 2022

AbstractBackgroundThe COVID-19 pandemic has escalated the use of telemedicine in both high and low resource settings however its use has preceded this, particularly in conflict-affected settings. Several countries in the WHO Eastern Mediterranean (EMR) region are affected by complex, protracted crises. Though telemedicine has been used in such settings, there has been no comprehensive assessment of what interventions are used, their efficacy, barriers, or current research gaps.Main bodyA systematic search of ten academic databases and 3 grey literature sources from January 1st 2000 to December 31st 2020 was completed, identifying telemedicine interventions in select EMR conflict-affected settings and relevant enablers and barriers to their implementation. Included articles reported on telemedicine use in six conflict-affected EMR countries (or territories) graded as WHO Health Emergencies: Afghanistan, Gaza, Iraq, Libya, Syria and Yemen. Data were extracted and narratively synthesised due to heterogeneity in study design and outcomes. Of 3419 articles identified, twenty-one peer-reviewed and three grey literature sources met the inclusion criteria. We analysed these by context, intervention, and evaluation. Context: eight related to Afghanistan, eight to Syria and seven to Iraq with one each in Yemen and Gaza. Most were implemented by humanitarian or academic organisations with projects mostly initiated in the United States or Europe and mostly by physicians. The in-country links were mostly health professionals rather than patients seeking specialist inputs for specialities not locally available. Interventions: these included both SAF (store and forward) and RT (real-time) with a range of specialities represented including radiology, histopathology, dermatology, mental health, and intensive care. Evaluation: most papers were observational or descriptive with few describing quality measures of interventions.ConclusionsTelemedicine interventions are feasible in conflict-affected settings in EMR using low-cost, accessible technologies. However, few implemented interventions reported on evaluation strategies or had these built in. The ad hoc nature of some of the interventions, which relied on volunteers without sustained financial or academic investment, could pose challenges to quality and sustainability. There was little exploration of confidentiality, ethical standards, data storage or local healthcare worker and patient acceptability.
Deep learning-based speech analysis for Alzheimer’s disease detection: a literature review
Authors: Yang Qin , Li Xin , Ding Xinyun , Xu Feiyang , Ling Zhenhua 
Published: December 2022

AbstractBackgroundAlzheimer’s disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared with traditional detection methods such as traditional scale tests, electroencephalograms, and magnetic resonance imaging, speech analysis is more convenient for automatic large-scale Alzheimer’s disease detection and has attracted extensive attention from researchers. In particular, deep learning-based speech analysis and language processing techniques for Alzheimer’s disease detection have been studied and achieved impressive results.MethodsTo integrate the latest research progresses, hundreds of relevant papers from ACM, DBLP, IEEE, PubMed, Scopus, Web of Science electronic databases, and other sources were retrieved. We used these keywords for paper search: (Alzheimer OR dementia OR cognitive impairment) AND (speech OR voice OR audio) AND (deep learning OR neural network).ConclusionsFifty-two papers were finally retained after screening. We reviewed and presented the speech databases, deep learning methods, and model performances of these studies. In the end, we pointed out the mainstreams and limitations in the current studies and provided a direction for future research.
Effects of dietary oil sources and fat extraction methods on apparent and standardized ileal digestibility of fat and fatty acids in growing pigs
Authors: Wang Lu , Gao Wenjun , Zhou Junyan , Shi Huangwei , Wang Tenghao , Lai Changhua 
Published: December 2022

Abstract
Background
There is a lack of data for the standardized ileal digestibility (SID) of fat and fatty acids in national feed databases. In addition, it is important to specify the procedures used for fat analyses. Therefore, an experiment was conducted to 1) determine the apparent ileal digestibility (AID) and SID of fat and fatty acids in ten different oil sources for growing pigs and to develop prediction equations for SID of fat based on fatty acid composition; and 2) compare the effect of the fat extraction methods on the calculated values for endogenous loss and digestibility of fat.

Methods
Twenty-two barrows (initial body weight: 32.1 ± 2.3 kg) were surgically fitted with a T-cannula in the distal ileum, and allotted to 1 of 11 experimental diets in a 4-period Youden Square design. A fat-free diet was formulated using cornstarch, soy protein isolate and sucrose. Ten oil-added diets were formulated by adding 6% of dietary oil sources to the fat-free diet at the expense of cornstarch. All diets contained 26% sugar beet pulp and 0.40% chromic oxide.

Results
The endogenous loss of ether extract (EE) was lower than that of acid-hydrolyzed fat (AEE; P < 0.01). There were significant differences in the AID and SID of fat and saturated fatty acids across the dietary oil sources (P < 0.05). The SID of AEE for palm oil was lower than that of sunflower oil, corn oil, canola oil, rice oil and flaxseed oil (P < 0.01). The AID and SID of fat ranged from 79.65% to 86.97% and from 91.14% to 99.18%. Although the AID of EE was greater than that of AEE (P < 0.01), there was no significant difference in SID of EE and AEE except for palm oil. The ratio of unsaturated to saturated fatty acids (U/S) had a positive correlation with SID of fat (P < 0.05), whereas C16:0 and long chain saturated fatty acids (LSFA) were significant negatively correlated with SID of fat (P < 0.01). The best-fit equation to predict SID of fat was SID AEE = 102.75 − 0.15 × LSFA − 0.74 × C18:0 − 0.03 × C18:1 (Adjusted coefficient of determination = 0.88, P < 0.01).

Conclusions
When calculating the SID of fat, the EE content of the samples can be analyzed using the direct extraction method, whereas the acid hydrolysis procedure should be used to determine the AID of fat. Fat digestibility of dietary oils was affected by their fatty acid composition, especially by the contents of C16:0, LSFA and U/S.
ScintPi 2.0 and 3.0: low-cost GNSS-based monitors of ionospheric scintillation and total electron content
Authors: Gomez Socola Josemaria , Rodrigues Fabiano S. 
Published: December 2022

AbstractWe have devoted efforts to the development and performance evaluation of new low-cost ionospheric instruments for studies that require distributed observations and for educational and citizen science initiatives. Here, we report results of some of these efforts. More specifically, we describe the design of new ionospheric sensors based on Global Navigation Satellite System (GNSS) receivers and single-board computers. The first sensor (ScintPi 2.0) is a multi-constellation, single-frequency ionospheric scintillation monitor. The second sensor (ScintPi 3.0) is a multi-constellation, dual-frequency ionospheric scintillation and total electron content (TEC) monitor. Both sensors were created using Raspberry Pi computers and off-the-shelf GNSS receivers. While they are not intended to fully replace commercial ionospheric monitors, they cost a fraction of their price and can be used in various scientific applications. In addition to describing these new sensors, we present examples of observations made by ScintPi 3.0 deployed in Presidente Prudente, Brazil (22.12 S, 51.41 W, − 17.67° dip latitude). These examples show the ability of our system to detect scintillation events and TEC depletions such as those associated with equatorial plasma bubbles. Additionally, our observations were made in parallel with a commercial receiver (Septentrio PolaRx5S), which allowed an evaluation of the scintillation and TEC measurements provided by our system. The comparison shows that ScintPi 3.0 can provide estimates of the amplitude scintillation index (S4) and TEC that are in excellent agreement with those provided by PolaRx5S. We also show an example of the application of ScintPi 3.0 in distributed observations of ionospheric irregularities and scintillation over South America.
Graphical Abstract
Η χρήση των τεχνικών της Δραματικής Τέχνης στην Εκπαίδευση στην προσέγγιση ηθικών διλημμάτων
Authors: Παπαϊωάννου Θεοδώρα , Μάγος Κωνσταντίνος 
Published: December 2022

Η παρούσα έρευνα εστιάζει στη διερεύνηση της επίδρασης των τεχνικών της Δραματικής Τέχνης στην Εκπαίδευση σχετικά με την προσέγγιση ηθικών διλημμάτων που αφορούν σε ζητήματα διαχείρισης της ετερότητας. Συγκεκριμένα περιγράφει τον σχεδιασμό, την υλοποίηση και την αξιολόγηση ενός Θεατροπαιδαγωγικού Προγράμματος κατά τη διάρκεια του οποίου πραγματοποιήθηκαν τεχνικές της Δραματικής Τέχνης στην Εκπαίδευση για την διερεύνηση ηθικών διλημμάτων με σκοπό την ανάπτυξη της διαπολιτισμικής ικανότητας μαθητών της Δ΄ τάξης του Δημοτικού σχολείου. Στην εν λόγω ποιοτική έρευνα ως μέσα συλλογής δεδομένων χρησιμοποιήθηκαν οι ημιδομημένες συνεντεύξεις σε ομάδες εστίασης, το ενδιάμεσο ερωτηματολόγιο και τα γραπτά κείμενα που παρήγαγαν οι μαθητές. Με βάση τα ευρήματα της έρευνας διαπιστώθηκε ότι οι τεχνικές της Δραματικής Τέχνης στην Εκπαίδευση διαμεσολάβησαν θετικά στην αλλαγή της αρχικής αρνητικής στάσης των μαθητών όσον αφορά στα ηθικά διλήμματα που τους είχαν τεθεί σε σχέση με την αποδοχή της εθνοτικής, πολιτισμικής, γλωσσικής και θρησκευτικής ετερότητας. Ειδικότερα, μέσω των ευρημάτων που προέκυψαν από την αξιοποίηση των ηθικών διλημμάτων, διαπιστώθηκε μετασχηματισμός αρνητικών στερεότυπων, μείωση των προκαταλήψεων και γενικότερα ανάπτυξη της αποδοχής του διαφορετικού «άλλου».
Service Communication as a Status-Oriented Type of Discourse: Linguistic and Communicative-Pragmatic Characteristics
Authors: Yan Can' , Goncharova Lyubov 
Published: December 2022

The purpose of the study is to describe service communication as a status-oriented type of discourse, to analyze its communicative-pragmatic, genre-stylistic and linguistic characteristics.
The article defines the institutional features of service communication, describes the participants of the discourse and their communicative behavior in the process of interaction, analyzes the texts of service communication in its oral and written modes.
Methods and materials. The methods of observation and description, interpretation and generalization, linguosociological analysis were used in the work.
The sources of the language material were about 400 texts on the designated topic: websites of companies providing service, texts of instructions, letters and advertising messages of service companies.
As a result of the study, the following conclusions were made.
1. Service communication as purposeful communication, in which participants are within the specified framework of status-role relations, can be considered as a type of institutional discourse.
2. According to the function of institutions, we divide them into structures offering: 1) daily life services, 2) professional services (technical, intellectual, medical, etc.), 3) entertainment and leisure, cognitive, cultural and sports services.
3. Participants in service communication – representatives of the service sector (service providers) and clients (service recipients) are in a relationship of equality / inequality depending on their belonging to official status and related restrictions, which is manifested in the texts at lexical and stylistic level.
Philology and missional hermeneutics: ontology of communication
Authors: Bobylev B. 
Published: December 2022

The article highlights the methodological connection between philology and mission hermeneutics in communicative and ontological aspects.
Goal. Disclosure of the ontological foundations of communication carried out through sacred and artistic texts in a historical, cultural, aesthetic and theological context.
Methodology, methods and techniques. In the course of the research, general scientific and specific scientific methods are used, a system-overview, contextual-hermeneutic, spiritual-existential and polyparadimal approach are applied.
Scientific novelty. The scientific novelty of the research consists in substantiating the synthesis and fundamental interdependence of the communicative ("technical") and ontological (substantive) aspects, "interpretation" and "understanding", "method" and "truth" based on the "good news", personal assimilation of the meaning of the text as a Word addressed to the reader.
Practical significance. The research creates prerequisites for improving the methodology and technology of philological, rhetorical, linguo-stylistic and functional-communicative analysis of the text.
The implant passport: a tool for implant maintenance and post-operative care
Authors: Grewal Kuljit Kaur , Daly Alex , Trainor Jenna 
Published: December 2022

This article discusses the use of an implant passport to document and standardize important information relating to specific implant treatment for both the patient and their present and future clinicians. This aims to facilitate monitoring and provide salient information for any future clinician providing implant care. CPD/Clinical Relevance: The implant passport is a useful aid to deliver information concisely and accurately to the patient's GDP