bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indoor air quality prediction modeling for a naturally ventilated fitness building using RNN-LSTM artificial neural networks
Authors: Karaiskos Panagiotis , Munian Yuvaraj , Martinez-Molina Antonio , Alamaniotis Miltiadis 
Published: May 2024

PurposeExposure to indoor air pollutants poses a significant health risk, contributing to various ailments such as respiratory and cardiovascular diseases. These unhealthy consequences are specifically alarming for athletes during exercise due to their higher respiratory rate. Therefore, studying, predicting and curtailing exposure to indoor air contaminants during athletic activities is essential for fitness facilities. The objective of this study is to develop a neural network model designed for predicting optimal (in terms of health) occupancy intervals using monitored indoor air quality (IAQ) data.Design/methodology/approachThis research study presents an innovative approach employing a long short-term memory (LSTM) recurrent neural network (RNN) to determine optimal occupancy intervals for ensuring the safety and well-being of occupants. The dataset was collected over a 3-month monitoring campaign, encompassing 15 meteorological and indoor environmental parameters monitored. All the parameters were monitored in 5-min intervals, resulting in a total of 77,520 data points. The dataset collection parameters included the building’s ventilation methods as well as the level of occupancy. Initial preprocessing involved computing the correlation matrix and identifying highly correlated variables to serve as inputs for the LSTM network model.FindingsThe findings underscore the efficacy of the proposed artificial intelligence model in forecasting indoor conditions, yielding highly specific predicted time slots. Using the training dataset and established threshold values, the model effectively identifies benign periods for occupancy. Validation of the predicted time slots is conducted utilizing features chosen from the correlation matrix and their corresponding standard ranges. Essentially, this process determines the ratio of recommended to non-recommended timing intervals.Originality/valueHumans do not have the capacity to process this data and make such a relevant decision, though the complexity of the parameters of IAQ imposes significant barriers to human decision-making, artificial intelligence and machine learning systems, which are different. Present research utilizing multilayer perceptron (MLP) and LSTM algorithms for evaluating indoor air pollution levels lacks the capability to predict specific time slots. This study aims to fill this gap in evaluation methodologies. Therefore, the utilized LSTM-RNN model can provide a day-ahead prediction of indoor air pollutants, making its competency far beyond the human being’s and regular sensors' capacities.
Determinants of the financial performance of social enterprises in an emerging economy: a quantitative analysis
Authors: Fernandes Eduardo da Silva , Grochau Ines Hexsel , ten Caten Carla Schwengber , Horst Diogo José , Andrade Junior Pedro Paulo 
Published: May 2024

Purpose
This paper aims to identify the determining factors for the financial performance (FP) of social enterprises in an emerging country, in this case Brazil.

Design/methodology/approach
This paper identifies the determinants of the FP of social enterprises in Brazil using the resource-based view as a theoretical lenses and the quantitative method (n = 601) of logistic regression, analyzing the importance of nine variables related to SEs.

Findings
The findings refer to practical contributions (which show how SEs should focus and allocate their resources to maximize FP) and theoretical contributions linked to entrepreneurship literature (by differentiating the results of this work from the literature on commercial entrepreneurship in terms of resources), social entrepreneurship literature (by presenting the resources that determine their FP), business literature, entrepreneurial finance and entrepreneurship in emerging economies.

Originality/value
This work represents a novelty from a methodological point of view, filling the gap regarding the lack of studies that apply a quantitative methodology to a large sample and analyze several different variables when most studies analyze only one factor related to the performance of an organization. It also fills the gap in entrepreneurship studies that use some theoretical lenses. This work is also a pioneer in analyzing the variables involved, such as market orientation, technologies and impact measurement in social entrepreneurship. As this work uses data from a secondary sample, there is the limitation of not choosing the analyzed variables. Even though there were many variables in the sample, it was impossible to consider some variables, referring to various aspects of resources and performance. For this same reason, the social performance of SEs, which is of fundamental importance within the objectives of any organization of this type, was not analyzed and may be a suggestion for future work.
A descriptive phenomenological study of critically ill elderly patients’ experiences of treatment using high-flow nasal cannula after extubation
Authors: Tabootwong Watchara , Nathmontri Yoongtong , Chantakeeree Chonticha 
Published: May 2024

Purpose
This study aims to describe the experiences of critically ill elderly patients (CIEPs) who were treated using the high-flow nasal cannula (HFNC) after extubation.

Design/methodology/approach
A descriptive phenomenological approach was conducted to interview eleven CIEPs using face-to-face semi-unstructured interviews. Participants were selected through purposive sampling. Data were analyzed using Giorgi’s method.

Findings
Experiences of CIEPs included their fears of failure, getting comfortable and uncomfortable, as well as asking for assistance. Fears of failure were described as involving worsening symptoms related to their diseases and failure of HFNC leading to the need for reintubation. While receiving HFNC, their breathing was comfortable, and they were free from intubation. However, they were uncomfortable because of the sensation of burning in the nasal passages. Additionally, they asked for assistance from nurses in managing their symptoms, and the alarms of HFNC oxygen therapy devices resulted in fears of HFNC failure.

Originality/value
The paper indicates that CIEPs experienced physical and psychological impacts from HFNC oxygen therapy (e.g. burning sensation in the nose and fear of failure). Although they had comfortable breathing, being uncomfortable also occurred. Therefore, health-care professionals should support what CIEPs need and develop a program or guidelines for managing the complications of HFNC – neither burning noses nor psychological issues enhance the comfort of CIEPs – by considering age-related changes.
The Rise of Human–Machine Collaboration: Managers’ Perceptions of Leveraging Artificial Intelligence for Enhanced B2B Service Recovery
Authors: Ameen Nisreen , Pagani Margherita , Pantano Eleonora , Cheah Jun‐Hwa , Tarba Shlomo , Xia Senmao 
Published: May 2024

AbstractThis research analyses managers’ perceptions of the multiple types of artificial intelligence (AI) required at each stage of the business‐to‐business (B2B) service recovery journey for successful human–AI collaboration in this context. Study 1 is an exploratory study that identifies managers’ perceptions of the main stages of a B2B service recovery journey based on human–AI collaboration and the corresponding roles of the human–AI collaboration at each stage. Study 2 provides an empirical examination of the proposed theoretical framework to identify the specific types of intelligence required by AI to enhance performance in each stage of B2B service recovery, based on managers’ perceptions. Our findings show that the prediction stage benefits from collaborations involving processing‐speed and visual‐spatial AI. The detection stage requires logic‐mathematical, social and processing‐speed AI. The recovery stage requires logic‐mathematical, social, verbal‐linguistic and processing‐speed AI. The post‐recovery stage calls for logic‐mathematical, social, verbal‐linguistic and processing‐speed AI.
Our Café Nero sessions: Supporting student teachers to develop their understanding of inclusive practice through problem‐based learning
Authors: Moscardini Lio , Cameron Molly , Clark Christopher , McNeil Nicola San Gong , Mitchell Carys , Nys Dorothee , Jaap Angela 
Published: May 2024

AbstractThis article, co‐authored with a group of undergraduate secondary music student teachers, shares their experiences as they learned about additional support needs and inclusive practice through a series of 10 problem‐based learning (PBL) sessions. Drawing from their reflections on the weekly sessions, the paper explores the students' learning experiences through the themes of motivation, self‐directed learning, critical skill development and collaboration. The students' accounts indicate a deep engagement with the process of PBL and recognition of growth in their understanding and knowledge relating to inclusive practice and additional support needs. The process has supported their development in ways that may help them to navigate the complexities of inclusive education and support their own professional practice as they embark on their careers.
The complex ecologies of migrant children with special educational needs: Practitioner perspectives of information needs and implications for education
Authors: Dobson Graeme J. , Jørgensen Clara Rübner 
Published: May 2024

AbstractThis paper presents findings from a series of focus group interviews with three groups of professionals in England, in the period immediately preceding the COVID‐19 global pandemic, on the information needed by professionals to support migrant children with special educational needs (SEN) in the English education system. The data gathered were subjected to a thematic analysis revealing four themes: (1) Information about the needs of migrant children with SEN, (2) Information about parents and families, (3) Information about strategies to support migrant children with SEN, (4) The importance of clear and understandable information. The findings emphasise that when information is sought about migrant children with SEN, professionals must account for and understand the different experiences that the children and their families have experienced across different educational systems and the different educational ecologies associated with migration. Ecological theory helps identify potential tensions at different levels between and within different ecologies, but also suggests ways in which these may be bridged by information gathering, trust and relationship building within and across ecologies.
Enabling employee voice in small and medium enterprises: The role of trust and respect in the employment relationship
Authors: Prouska Rea , McKearney Aidan , Psychogios Alexandros , Szamosi Leslie T. 
Published: May 2024

AbstractThere is significant research on employee voice (EV) practices in large, often unionised, workplaces. Yet, there is scarcity of empirical evidence on voice practices in small and medium enterprises (SMEs), specifically on the intricate dynamics of the employee‐owner/manager relationship at the micro‐level and its connection with organisational employment relations (ER) and voice climates at the meso‐level. This paper addresses this gap by examining these factors from the perspective of both employees and owners/managers in SMEs. It draws on 87 interviews in 29 non‐unionised SMEs. Our findings reveal SMEs as sites where the role of owners/managers in setting the employment relationship and the ER climate, and consequently the voice climate, is magnified, with profound consequences for EV behaviours. Our findings contribute to EV theory by offering a conceptualisation of how voice may be enabled or hindered in SMEs, with a focus on the role of trust and respect in the employment relationship in influencing the ER climate, voice climate and, consequently, voice behaviours, thereby guiding further research and offering practical implications for human resources practice in this respect.
Thymic carcinoma presenting with overlap polyarthritis and myositis: A rare paraneoplastic syndrome in childhood
Authors: Yıldız Çisem , Türkcan Büşra Topuz , Vural Özge , Gezgin Yıldırım Deniz , İnan Mehmet Arda , Poyraz Aylar , Pınarlı Faruk Güçlü , Taştepe İrfan , Demir Ercan , Sunar Yayla Emine Nur , Esmeray Şenol Pelin , Karaçayır Nihal , Bakkaloğlu Sevcan A. 
Published: May 2024

AbstractThymic tumors are very rare neoplasms in children and account for less than 1% of mediastinal tumors in pediatric patients. One‐third of the pediatric patients present with symptoms related to the compression of the tumor mass on the surrounding anatomic structures, and paraneoplastic syndromes such as myasthenia gravis, pure red cell aplasia, acquired hypogammaglobulinemia, and connective tissue disorders, which rarely occur in children with thymic tumors. Herein, we report a case of thymic carcinoma mimicking the symptoms of a connective tissue disease with symmetrical polyarthritis accompanying myositis, fever, weight loss, and malaise in a 15‐year‐old male patient. To our knowledge, this is the first case pediatric thymic carcinoma accompany with severe polyarthritis and myopathy, thus we have reviewed the current literature regarding the cases of thymic malignancies coexisting with paraneoplastic syndromes in children.
Australian consensus: Treatment goals for moderate to severe psoriasis in the era of targeted therapies – Considerations for paediatric patients
Authors: Foley Peter , Mahar Patrick D. , Smith Saxon D. , Gupta Monisha , Manuelpillai Nicholas , Orchard David , Wong Li‐Chuen , Su John C. , James Amelia , Fischer Gayle , Marshman Gillian , Rawlin Morton , Turner Murray , King Emma , Kennedy Robyn , Baker Christopher 
Published: May 2024

AbstractBackgroundTreatment goals have been established in Australia to facilitate the management of adults with moderate to severe psoriasis. The Australasian College of Dermatologists sought to determine if and how these adult treatment goals could be modified to accommodate the needs of paediatric and adolescent patients.MethodsA modified Delphi approach was used. Comprehensive literature review and guideline evaluation resulted in the development of statements and other questions to establish current clinical practices. Two rounds of anonymous voting were undertaken, with a collaborative meeting held in between to discuss areas of discordance. Overall, consensus was defined as achievement of ≥75% agreement in the range 7–9 on a 9‐point scale (1 strongly disagree; 9 strongly agree).ResultsConsensus was achieved on 23/29 statements in round 1 and 17/18 statements in round 2. There was a high level of concordance with treatment criteria in the adult setting. The limitations of applying assessment tools developed for use in adult patients to the paediatric setting were highlighted. Treatment targets in the paediatric setting should include objective metrics for disease severity and psychological impact on the patients and their family, and be based on validated, age‐appropriate tools.ConclusionWhile the assessment, classification and management of moderate to severe psoriasis in paediatric patients aligns with metrics established for adults, it is vital that nuances in the transition from childhood to adolescence be taken into account. Future research should focus on psoriasis severity assessment scales specific to the paediatric setting.
Radar localization of breast and axillary lesions with SCOUT: a prospective single institution pilot study
Authors: Easwaralingam Neshanth , Nguyen Chu Luan , Ali Fatema , Chan Belinda , Graham Susannah , Azimi Fred , Mak Cindy , Warrier Sanjay 
Published: May 2024

AbstractBackgroundWire‐guided localization has been the mainstay of localization techniques for non‐palpable breast and axillary lesions prior to excision. Evidence is still growing for relatively newer localization technologies. This study evaluated the efficacy of the wireless localization technology, SCOUT®, for both breast and axillary surgery.MethodsData were extracted from a prospective database (2021–2023) of consecutive patients undergoing wide local excision, excisional biopsy, targeted axillary dissection, or axillary lymph node dissection with SCOUT at a high‐volume tertiary centre. Rates of successful reflector placement, intraoperative lesion localization, and reflector retrieval were evaluated. A survey of surgeon‐reported ease of lesion localization and reflector retrieval was also evaluated. Clinical trial registration: ACTRN386751.ResultsOne‐hundred‐ninety‐five reflectors were deployed in 172 patients. Median interval between deployment and surgery was 3 days (range 1–20) and mean distance from reflector to lesion was 3.2 mm (standard deviation, SD 3.1). Rate of successful localization and reflector retrieval was 100% for both breast and axillary procedures. Mean operating time was 65.8 min (SD 33). None of the reflectors migrated. No reflector deployment or localization‐related complications occurred. Ninety‐eight percent of surgeons were satisfied with ease of localization for the first half of cases.ConclusionSCOUT is an accurate and reliable method to localize and excise both breast and axillary lesions, and it may overcome some of the limitations of wire‐guided localization.
Meta‐analysis of the association between gratitude and loneliness
Authors: Hittner James B. , Widholm Calvin D. 
Published: May 2024

AbstractGratitude is a positive social emotion that involves recognizing that others have brought benefits into one's life. Loneliness, on the other hand, is an unpleasant emotion resulting from a perceived lack of social connectedness. Although previous studies have reported an inverse association between gratitude and loneliness, these studies have not been systematically examined in a single review. To address this gap in the literature, we conducted a random‐effects meta‐analysis to examine the association between gratitude and loneliness. Analysis of 26 studies revealed a moderate sized effect (mean Fisher's z transformed correlation, zr = −.406, 95% confidence interval [CI] = −.463, −.349; mean back‐transformed correlation, r = −.385, 95% CI = −.433, −.335). To complement these effect sizes, we calculated a probability‐based common language effect size for correlations. Random‐effects homogeneity testing suggested the presence of effect size heterogeneity. Analyses of both continuous and categorical moderators were non‐significant, indicating that these variables did not influence effect size magnitude. Furthermore, publication bias tests suggested that our results were not influenced by unpublished studies. Finally, we proposed several statistical and clinical recommendations for future research. Regarding the latter, we offered suggestions for modifying gratitude enhancement programs with the aim of reducing loneliness.
Nicorandil mitigates arsenic trioxide‐induced lung injury via modulating vital signalling pathways SIRT1/PGC‐1α/TFAM, JAK1/STAT3, and miRNA‐132 expression
Authors: Abdel‐Wahab Basel A. , Zafaar Dalia , Habeeb Mohammed Shafiuddin , El‐Shoura Ehab A. M. 
Published: May 2024

AbstractBackground and PurposeNicorandil, a selective opener of potassium channels, used to treat angina, has drawn attention for its potential in mitigating lung injury, positioning it as a promising therapeutic approach to treat drug‐induced lung toxicity. This study aimed to explore the protective role of nicorandil in arsenic trioxide (ATO)‐induced lung injury and to elucidate the underlying mechanistic pathways.Experimental ApproachWe assessed the effects of nicorandil (15 mg·kg−1, p.o.) in a rat model of pulmonary injury induced by ATO (5 mg·kg−1, i.p.). The assessment included oxidative stress biomarkers, inflammatory cytokine levels, and other biomarkers, including sirtuin‐1, sirtuin‐3, STAT3, TFAM, and JAK in lung tissue. Histological examination using H&E staining and molecular investigations using western blotting and PCR techniques were conducted.Key ResultsIn our model of lung injury, treatment with nicorandil ameliorated pathological changes as seen with H&E staining, reduced tissue levels of toxicity markers, and exerted significant antioxidant and anti‐inflammatory actions. On a molecular level, treatment with nicorandil down‐regulated JAK, STAT3, PPARγ, Nrf2, VEGF, p53, and micro‐RNA 132 while up‐regulating Sirt1, 3, TFAM, AMPK, and ERR‐α in lung tissue.Conclusions and ImplicationsThe results presented here show nicorandil as a significant agent in attenuating lung injury induced by ATO in a rodent model. Nonetheless, further clinical studies are warranted to strengthen these findings.
Reviving Bistable Perception in Patients With Depression by Decreasing the Overestimation of Prior Precision
Authors: Wang Wenbo , Zhu Changbo , Jia Ting , Zu Meidan , Tang Yandong , Zhou Liqin , Tian Yanghua , Si Bailu , Zhou Ke 
Published: May 2024

AbstractSlower perceptual alternations, a notable perceptual effect observed in psychiatric disorders, can be alleviated by antidepressant therapies that affect serotonin levels in the brain. While these phenomena have been well documented, the underlying neurocognitive mechanisms remain to be elucidated. Our study bridges this gap by employing a computational cognitive approach within a Bayesian predictive coding framework to explore these mechanisms in depression. We fitted a prediction error (PE) model to behavioral data from a binocular rivalry task, uncovering that significantly higher initial prior precision and lower PE led to a slower switch rate in patients with depression. Furthermore, serotonin‐targeting antidepressant treatments significantly decreased the prior precision and increased PE, both of which were predictive of improvements in the perceptual alternation rate of depression patients. These findings indicated that the substantially slower perception switch rate in patients with depression was caused by the greater reliance on top‐down priors and that serotonin treatment's efficacy was in its recalibration of these priors and enhancement of PE. Our study not only elucidates the cognitive underpinnings of depression, but also suggests computational modeling as a potent tool for integrating cognitive science with clinical psychology, advancing our understanding and treatment of cognitive impairments in depression.
Soluble MIC‐A, IPI, and response to treatment strongly predict survival in patients with germinal center diffuse large B cell lymphoma
Authors: Vela‐Ojeda Jorge , Olivas‐Bejarano Ana Cristina , Montiel‐Cervantes Laura Arcelia , Rosales‐Cruz Erika , Garcia‐Gutierrez Socrates , Lezama‐Palacios Ruth Angelica , Reyes‐Maldonado Elba 
Published: May 2024

AbstractDiffuse large B‐cell lymphoma (DLBCL) is the most frequent lymphoma. MIC‐A and MIC‐B are the natural ligands for NKG2D, a receptor expressed in NK cells. MIC‐A soluble isoforms (sMICA) have been described in different malignancies.ObjectivesTo analyze lymphocyte subsets and sMIC‐A in germinal center DLBCL.Materials and MethodssMICA, sMICB, and peripheral blood lymphocyte subsets (CD4+, CD8+, NK, NKT, γδ T cells, and dendritic cells) were analyzed in 59 patients and 60 healthy donors.ResultsPatients had decreased numbers of type 1 and type 2 dendritic cells, NK, iNKT, CD4 T, and CD8 T cells, and higher levels of sMIC‐A. The 2‐year PFS for high IPI scores and high sMIC‐A was 24% and 28%, respectively. The 2‐year OS for high IPI scores and high sMIC‐A was 42% and 33%. The 2‐year PFS and OS for patients not achieving response to treatment were 0% and 10%, respectively. The MICPI score (one point each for high IPI score and high sMIC‐A) showed that those patients summing two points had worse PSF and OS.ConclusionsPatients with DLBCL have decreased numbers of peripheral lymphocyte subsets and high levels of sMIC‐A. The addition of sMIC‐A to IPI could improve its prognostic relevance.