bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a theory-based questionnaire examining barriers and facilitators to discontinuing long-term benzodiazepine receptor agonist use
Authors: Lynch Tom , Ryan Cristín , Presseau Justin , Foster D E , Huff Christy , Bennett Kathleen , Cadogan Cathal 
Published: June 2023

Abstract
Background
Long-term use of benzodiazepine receptor agonists (BZRAs) is a persistent healthcare challenge and poses patient safety risks. Interventions underpinned by behaviour change theory are needed to support discontinuation of long-term BZRA use. The aim of this study was to develop and validate a questionnaire based on the Theoretical Domains Framework (TDF) to examine mediators of behaviour change relating to the discontinuation of long-term BZRA use.
Methods
An initial 52 item questionnaire was developed using the 14 domains of TDF version 2 and iteratively refined over two rounds. The questionnaire was disseminated online via online support groups that focused on BZRAs to community-based adults with either current or previous experience of taking BZRAs on a long-term basis (≥ 3 months). Confirmatory factor analysis was undertaken to assess the questionnaire’s reliability, discriminant validity and goodness of fit. The Standardized Root Mean Square Residual (SRMR), Root Mean Square Error of Approximation (RMSEA) and Comparative Fit Index (CFI) were calculated.
Results
Following an interactive process of adjustment, the results obtained from confirmatory factor analysis resulted in the final questionnaire consisting of 29 items across nine theoretical domains. The internal consistency reliability values across these domains ranged from 0.62 to 0.85. For the final model, the SRMR was 0.23, the RMSEA was 0.11 and the CFI was 0.6.
Conclusions
The questionnaire offers a potential tool that could be used to identify domains that need to be targeted as part of a behaviour change intervention at an individual patient level. Further research is needed to assess the questionnaire’s acceptability and usability, and to develop a scoring system so that domains can be prioritised and subsequently targeted as part of an intervention.
Prospective study on the effect of topical honey on radiation-induced mucositis induced by concurrent chemotherapy and radiation or radiation alone given as radical or adjuvant treatment in head and neck squamous cell malignancies
Authors: Armugam Nindra , Erukula Ramanjaneyulu , Saleem Zoha Mohd , Veluru Chandipriya 
Published: June 2023

Pain imparts additional morbidity and economic burden to patients by requiring parenteral analgesia, interruption of radiation therapy (RT) and/or hospitalization, and parenteral or tube feeding, all of which negatively impact patients' quality of life. There are various drugs tried to relieve pain associated with radiation-induced mucositis.
The aim: The aim of the study is to evaluate the effect of the topical application of pure natural honey on radiation-induced mucositis in patients undergoing concurrent chemo-radiation or radiation alone for radical or adjuvant treatment for head and neck squamous cell malignancies.
Materials and methods: It is a hospital-based prospective study enrolling patients with histopathologically proven head and neck cancers. All histopathologically proven patients of squamous cell carcinoma of Head & Neck cancer (carcinoma of the oral cavity, oropharynx) receiving chemotherapy and radiotherapy or radiotherapy alone in the definitive or adjuvant setting and who meet our inclusion and exclusion criteria will be taken up as study group.
Results: Mean age of patients was 49 years, most males 87 %. The oral cavity was the most common primary site (84 %), followed by the oropharynx (16 %). Most cases were locally advanced cancer stage IV (60 %). The set of mucositis is after 5 fractions in both study and control groups, but 89 % in the control group, compared to 33 % in the study group. On grade 3, mucositis is delayed in the study group compared to the control group, and no patients in the study group had grade 4 mucositis.
Conclusions: All patients in the study developed mucositis. On the set of grade 3, mucositis is delayed in the study group compared to the control group, and no patients in the study group had grade 4 mucositis. Honey is effective in preventing grade 3 and 4 mucositis. Honey showed no effect on weight loss and oral infections in this study.
Desa Wisata dan Prinsip Keberlanjutan
Authors: Siahaya Aletheia Deandra , Nuryanti Wiendu 
Published: June 2023

Title: Tourism Village and the Principles of Sustainability, Case Study: Negeri Oma, Central Moluccas Regency

The issue of sustainability becomes essential when a village or area is to be developed as a tourist destination because it has the potential to impact the life and environment of an area. Negeri Oma has been listed as one of the developing tourist villages in Central Mollucas Regency, according to the Ministry of Tourism and Creative Economy, since 2021. Some of its natural uniqueness are natural freshwater springs called Air Asol, natural hot springs, namely Air Panas Asol And Air Panas Bak, Pantai Sila, and the Tanjung Simale, scattered in the Negeri Oma Tourism Village area. The carrying capacity of tourism that has been owned is the availability of land and sea transportation, the availability of tourism and non-tourism supporting facilities, and the involvement of local communities. Research on tourism villages and sustainability principles uses descriptive research methods with a tourism architecture approach, in which data and information from the field are examined and supported by theories related to the research topic. The study results show that the development of the Negeri Oma Tourism Village has led to sustainable tourism. However, some deficiencies still require improvement and support from various parties so that tourism actors can continuously improve and enjoy the implementation principles.
Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement
Authors: Zidaoui Imane , Wemmert Cédric , Dufresne Matthieu , Joannis Claude , Isel Sandra , Wertel Jonathan , Vazquez José 
Published: June 2023

Abstract

To prevent the pollution of water resources, the measurement and the limitation of wastewater discharges are required. Despite the progress in the field of data acquisition systems, sensors are subject to malfunctions that can bias the evaluation of the pollution flow. It is therefore essential to identify potential anomalies in the data before any use. The objective of this work is to deploy artificial intelligence tools to automate the data validation and to assess the added value of this approach in assisting the validation performed by an operator. To do so, we compare two state-of-the-art anomaly detection algorithms on turbidity data in a sewer network. On the one hand, we conclude that the One-class SVM model is not adapted to the nature of the studied data which is heterogeneous and noisy. The Matrix Profile model, on the other hand, provides promising results with a majority of anomalies detected and a relatively limited number of false positives. By comparing these results to the expert validation, it turns out that the use of the Matrix Profile model objectifies and accelerates the validation task while maintaining the same level of performance compared to the annotator agreement rate between two experts.
Performance of an aerobic granular sludge membrane filtration in a full-scale industrial plant
Authors: Tsertou Eirini , Caluwé Michel , Goossens Koen , Seguel Suazo Karina , Dries Jan 
Published: June 2023

Abstract

This study quantifies the hydraulic performance of a pilot-scale ultrafiltration system integrated into a full-scale industrial aerobic granular sludge (AGS) plant. The treatment plant consisted of parallel AGS reactors, Bio1 and Bio2, with similar initial granular sludge properties. During the 3-month filtration test, a chemical oxygen demand (COD) overloading episode took place, affecting the settling properties, morphology, and microbial community composition in both reactors. The impact on Bio2 was more severe than on Bio1, with higher maximal sludge volume index values, a complete loss of granulation, and the excessive appearance of filamentous bacteria extending from the flocs. The membrane filtration properties of both sludges, with these different sludge qualities, were compared. The permeability in Bio1 varied between 190.8 ± 23.3 and 158.9 ± 19.2 L·m−2·h−1·bar−1, which was 50% higher than in Bio2 (89.9 ± 5.8 L·m−2·h−1·bar−1). A lab-scale filtration experiment using a flux-step protocol showed a lower fouling rate for Bio1 in comparison with Bio2. The membrane resistance due to pore blocking was three times higher in Bio2 than in Bio1. This study shows the positive impact of granular biomass on the long-term membrane filtration properties and stresses the importance of granular sludge stability during reactor operation.
Uso de las tecnologías de la información y la comunicación para la evaluación dentro de aulas de clases
Authors: Chanta-Jiménez Sara 
Published: June 2023

Las Tecnologías de la Información y la Comunicación (TIC) en la educación ofrecen posibilidades sobresalientes para la enseñanza y la evaluación. Las TIC en la evaluación tienen el potencial para modificar tanto la forma en que se ha venido evaluando como lo que se puede evaluar. Investigación que estudie el uso de las TIC para evaluación durante el quehacer cotidiano en aulas de clase es un área poco estudiada. Por consiguiente, el objetivo principal de este estudio fue explorar lo que la investigación académica dice sobre el uso de las TIC para la evaluación dentro del aula escolar; y si éstas son empleadas para modificar el qué o el cómo. Usando Web of Science, todas las colecciones, se realizó una revisión de literatura sistematizada. Mediante un código de búsqueda, se encontraron un total 174 estudios; al aplicar criterios de inclusión y exclusión, solo 12 respondían al objetivo de este estudio. Los resultados muestran que existe escasez de estudios que exploren el uso de las TIC para la evaluación dentro del aula escolar. Sumado, la investigar sobre el qué se marca como un área angular de investigación por su impacto tanto para la política pública como para los docentes en activo.
Identidade(s) e letramento (s) de reexistência através da negociação de narrativas de resistência
Authors: Castrillón Ángel Edison Ferney 
Published: June 2023

Este artigo tem como objetivo analisar o desenvolvimento de identidade(s) e letramento(s) de reexistência por meio da compreensão, negociação e criação de narrativas de resistência entre professores de inglês em formação. Este é um estudo reflexivo que oferece cinco pressupostos teóricos: a) A globalização afeta o desenvolvimento da identidade (BAUMAN, 2004; JENKINS, 2014); b) O desenvolvimento da identidade, o letramento e a reexistência são práticas socioculturais sempre negociadas (HEATH, 1983; FREIRE, 1985); c) A resistência é uma prática libertadora das sociedades oprimidas (GIROUX, 1983; FOUCAULT, 1999); d) As narrativas de resistência surgem para reexistir (SILVA- SOUZA, 2009; ALBÁN-ACHINTE, 2013); e e) Os letramentos de reexistência são práticas socioculturais (CUPELLI, 2008; SILVA-SOUZA, 2011). Esses pressupostos e os teóricos que os sustentam tornam-se caminhos para fazer da questão um cenário de negociação, desenvolvimento de identidade e reexistência. Por fim, o texto mostra a importância da compreensão desses pressupostos como uma tarefa socio pedagógica para a compreensão de um mundo mais justo e igualitário.
Hippocampal Volume And Type 2 Diabetes Mellitus Without Comorbid Malady
Authors: Singh Asem Veeves , Ranabir Salam , Subhaschandra Singh S. , Chittaranjan Singh Laishram , Chhojom Khom Tashi , Palur Ramakrishnan Anand Vijayakumar 
Published: June 2023

Background:
Evidence of type 2 diabetes mellitus (T2DM) associated with hippocampal atrophy is reported by researchers all around the globe. The majority of such studies were conducted among the geriatric and elderly populations with other substantial co-morbid diseases. Hence, the present study aims to evaluate the hippocampal volume of T2DM subjects below 60 years without any concomitant disorders and assess the declarative memory.

Materials and Methods:
The cross-sectional observational study was conducted among the ethnic population of Manipur. A total of 17 T2DM subjects and 17 healthy controls, who are apparently healthy, matched by age, sex, and comparable education, were enrolled in the study. Magnetic Resonance Imaging (MRI) of high-resolution sagittal structural T1-weighted anatomical sequence was acquired using a three-dimension magnetization-prepared rapid-acquisition gradient echo (MPRAGE). The hippocampus volume was measured using the volBrain Automated MRI Brain Volumetry System. Declarative memory was estimated by the Rey Auditory Verbal Learning Test (RAVLT).

Results:
No statistically significant differences were found in hippocampal volume, and RAVLT scores between T2DM subjects, and healthy controls group (P > 0.05).

Conclusions:
The study data indicates that there is no particular hippocampal volume vulnerability in T2DM participants within the ethnic population of Manipur.
The Relationship between Triglyceride Glucose Index and Migraine: A
Cross-Section Study from the National Health and Nutrition Examination
Survey (NHANES)
Authors: Liu Yao , Gao Xiaochuan , Yuan Lingmei , Li Yanming , Hong Peiwei 
Published: June 2023

Background:
Insulin resistance is a phenomenon in which the lowering blood glucose
capacity of insulin is decreased, which is a feature of type 2 diabetes mellitus. Some previous studies
have found an association between insulin resistance and migraine. The triglyceride glucose
(TyG) index is used to assess insulin resistance. However, there is no report on the association between
the TyG index and migraine.

Objective:
We present a cross-sectional study from the National Health and Nutrition Examination
Survey (NHANES) to clarify the association between the TyG index and migraine.

Method:
Data was acquired from the NHANES. Migraine was diagnosed based on patient selfreport
and prescription medication. Data were analyzed using the weighted linear regression model,
weighted chi-square test, logistic regression models, smooth curve fittings, and the twopiecewise
linear regression model. Empower software was used for all data analysis.

Result:
A total of 18704 participants were enrolled in this study, of which 209 were migraineurs.
The rest were set as control. There was a statistically significant difference in mean age (p =
0.0222), gender (p < 0.0001), distribution of race (P < 0.0001), and drug usage between the two
groups. However, there were no differences in type 2 diabetes mellitus, type 1 diabetes mellitus,
total cholesterol, triglycerides, glucose, and TyG index between the two groups. According to logistic
regression models, there was a linear relationship between TyG index and migraine in model
3 (odds ratio (OR = 0.54, p = 0.0165). particularly in female (OR= 0.51, p = 0.0202) or Mexican
American (OR= 0.18, p = 0.0203). Moreover, there was no inflection point between the TyG index
and migraine.

Conclusion:
In conclusion, there was a linear relationship between the TyG index and migraine. A
higher TyG index predicts a lower incidence of migraine, particularly in females and Mexican
Americans. Meanwhile, there is no inflection point between the TyG index and migraine.
Combined Role of Inflammatory Biomarkers and Red Blood Cell Distribution
Width in Predicting In-hospital Outcomes of Acute Ischemic Stroke Patients
Undergoing Thrombolysis
Authors: Wang Yi , Zhu Yafang , Wang Xiaohong , Zhong Chongke , Qin Yan , Sun Yongrong , Cao Yongjun , Zhang Xia , Chen Dongqin 
Published: June 2023

Background:
To investigate the combined effect of red blood cell distribution width (RDW) and inflammatory biomarkers on in-hospital outcomes of acute ischemic stroke(AIS) patients with thrombolysis.

Methods:
417 AIS patients with thrombolysis were included. The participants were divided into four groups according to the cut-off of white blood cell (WBC) or C reactive protein (CRP) and RDW: LWLR, LWHR, HWLR, and HWHR; or LCLR, LCHR, HCLR, and HCHR (L-low, H-high, W-WBC, C-CRP, R-RDW). Logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of in-hospital pneumonia and functional outcome across the four subgroups.

Results:
Patients with higher RDW and inflammatory biomarkers levels have the highest risk of in-hospital outcomes. Compared with patients in the LWLR group, the ORs (95% CIs) of those in the HWHR group were 12.16 (4.21-35.14) and 9.31 (3.19-27.17) for in-hospital pneumonia and functional outcome. The ORs (95% CIs) of those in the HCHR group were 6.93 (2.70-17.78) and 3.38(1.10-10.39) for in-hospital pneumonia and functional outcome, compared with patients in the LCLR group. Simultaneously adding RDW and WBC or CRP to the basic model with established risk factors significantly improved risk discrimination and reclassification for pneumonia and functional outcome (all P<0.05).

Conclusions:
Combined RDW and inflammatory biomarkers within 4.5 hours had a better predictive power for in-hospital outcomes of AIS patients with thrombolysis.
Repurposing Antipsychotic Agents Against Targets of Angiogenesis
Pathways for Cancer Therapy: An in-silico Approach
Authors: Kanmodi Rahmon , Bankole Habeeb , Oddiri Regina , Arowosegbe Michael , Alabi Ridwan , Rahmon Saheed , Ahmodu Oladejo , AbdulRasheed Bilal , Muritala Rauf 
Published: June 2023

Background:
Antipsychotics interfere with virtually all hallmarks of cancer, including angiogenesis.
Vascular endothelial growth factor receptors (VEGFRs) and platelet-derived growth receptors
(PDGFRs) play crucial roles in angiogenesis and represent targets of many anti-cancer agents.
We assessed and compared the binding effects of antipsychotics and receptor tyrosine kinase inhibitors
(RTKIs) on VEGFR2 and PDGFRα.

Methods:
FDA-approved antipsychotics and RTKIs were retrieved from DrugBank. VEGFR2 and
PDGFRα structures were obtained from Protein Data Bank and loaded on Biovia Discovery Studio
software to remove nonstandard molecules. Molecular docking was carried out using PyRx and CBDock
to determine the binding affinities of protein-ligand complexes.

Results:
Risperidone exerted the highest binding effect on PDGFRα (-11.0 Kcal/mol) as compared to
other antipsychotic drugs and RTKIs. Risperidone also demonstrated a stronger binding effect on
VEGFR2 (-9.6 Kcal/mol) than the RTKIs, pazopanib (-8.7 Kcal/mol), axitinib (-9.3 Kcal/mol),
vandetanib (-8.3 Kcal/mol), lenvatinib ( -7.6 Kcal/mol) and sunitinib (-8.3 Kcal/mol). Sorafenib (an
RTKI), however, exhibited the highest VEGFR2 binding affinity of -11.7 Kcal/mol.

Conclusion:
Risperidone's superior binding affinity with PDGFRα when compared to all reference
RTKIs and antipsychotic drugs, as well as its stronger binding effect on VEGFR2 over the RTKIs,
sunitinib, pazopanib, axitinib, vandetanib, and lenvatinib, imply that it could be repurposed to inhibit
angiogenic pathways and subjected to pre-clinical and clinical trials for cancer therapy.
Explanation of the Educational Needs Related to Women's Health During
Menopausal Period: A Qualitative Study
Authors: Otogara Marzieh , Masoumi Seyedeh Zahra , Rostami-Moez Masoumeh , Farahani Farhad , Alimohammadi Shohreh , Oshvandi Khodayar 
Published: June 2023

Background:
Menopause is one of a woman's most crucial life stages. Identifying menopause's educational needs is critical.

Objective:
This study aims to explain the educational needs of women during menopause.

Methods:
The current study employs a qualitative content analysis method. The study included 12 women around menopause who were referred to Fatemieh Hospital's menopause clinic in Hamadan in 2020 and seven midwives. Individual semi-structured interviews with open-ended questions were used to collect data for the study. Data analysis was performed by Cheevakumjon method and conceptual content analysis was used to extract the concepts. After reading the text of the data, key sentences and concepts were derived and finally categorized.

Results:
The mean age of menopausal women and midwives was 54.15±4.24 and 34.35±3.54 years, respectively. In this study, three main themes were found in each of the perspectives of menopausal women (educational needs, expectations from the health system, expectations from others) and nurse-midwives (effective factors in the successful implementation of programs related to the health of menopausal women, obstacles and challenges of successful program implementation, strategies to increase program performance) regarding health needs related to menopause. The experiences of postmenopausal women had 3 themes, 4 categories and 15 subcategories and midwives' point of view was also divided into 3 themes and 5 categories and 14 sub categories.

Conclusion:
In order to manage the challenges of menopause, education and counseling are needed regarding the physical, mental, psychological and social changes that menopausal women may face. Moreover, to achieve these goals, there is a need for comprehensive support from the relevant politicians.
Modified Exigent Features Block in JAN Net for Analysing SPECT Scan Images
to Diagnose Early-Stage Parkinson’s Disease
Authors: Siluvaimuthu Jothi , Sebasthiyar Anita , Subburam Sivakumar 
Published: June 2023

Background:
The quantitative measure of dopamine transporter (DaT) in the human midbrain is generally used as a biomarker for analyzing Parkinson’s disease (PD).

Introduction:
DaT scan images or Single- photon emission computed tomography (SPECT) images are utilized to capture the dopamine content more accurately.

Methods:
Only sixteen slices out of ninety-one of SPECT images were chosen on the basis of the high amount of dopamine content and were named Volume rendering image slices (VRIS). This paper proposes a novel Convolutional Neural Network (CNN) called JAN Net which particularly treats the VRIS for identifying PD. The JAN Net preserves the edges and spatial features of the striatum by using a modified exigent feature (M-ExFeat) block, that contains convolutional and additive layer. The different-sized convolutional layer extracts both low- and high-level features of Striatum. The additive layer adds up all the features of different filter sized convolutional layers like 1x1, 3x3, and 5x5. The added output features are used to improve the learnability of neurons in the hidden layer. The network performance is tested for stride 1 and stride 2.

Results:
The results are validated using the dataset taken from the Parkinson’s Progression Markers Initiative (PPMI) database. The JAN Net ensures improved performance in terms of accuracy. The training and validation accuracy for stride 2 is 100% with minimum losses. The outcome has been compared with different deep learning architectures and the machine learning techniques like Extreme Learning Machines (ELM), and Artificial Neural Networks (ANN) to highlight the efficacy of the proposed architecture.

Conclusion:
Hence, the present work could be of great aid to the experts in neurology to protect the neurons from impairment.