bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of the Effects of Aromatherapy and Mindfulness through Social Media on the Sleep Quality of Women in the Postpartum Period - A Randomized Clinical Trial Study
Authors: Ghalgar Zahra , Vakilian Katayon , Rizi Soheila Mohamadi , Ghaemmaghami Mehrnoush , Moradzadeh Rahmatollah 
Published: January 2025

Aim:
The present study aimed to compare the effect of two methods on mothers' sleep in
the postpartum period.

Background:
The postpartum period refers to the first 6 weeks after birth. Some mothers may find
it difficult to adapt to the new role, and thus the quality of their life and sleep may be affected.

Objective:
The objective of the present study was to compare the effect of aromatherapy and mindfulness
through social media during the postpartum period on sleep.

Methods:
This study was a randomized clinical trial study conducted in parallel design involving 3
groups (mindfulness, aromatherapy, and control) with an allocation ratio of 1:1:1. The population consisted
of women who had given birth one week before and were in the postpartum period. In the mindfulness
group (n=44), counseling was performed via WhatsApp in 8 sessions. The other group was
given the lavender essential oil (n=44); the members of this group joined the WhatsApp channel and
were shown how to use the essential oil (two drops on a napkin every other night before bed for 2
months). The control group (n=44) received routine postpartum care via WhatsApp. The quality of
sleep was assessed at the beginning of the study and 8 weeks after starting the intervention.

Result:
After the intervention, sleep quality was examined at 10.39 ± 3.46, 10.77 ± 3.72, and 8.82 ±
3.47 in the control, mindfulness, and aromatherapy groups, respectively (p=0.027). A difference
was found between the mindfulness group and the aromatherapy group after 8 weeks (p=0.03).

Conclusion:
The results of the present study have indicated the important role of complementary
medicine as aromatherapy in improving sleep quality with no side effects.
The Interrelation of Clarke’s Angle with Body Composition and Lower Extremity Explosive Muscle Strength in School-going Adolescents: A Cross-sectional Study
Authors: Darphang Dikshita , Deka Kuldeep , Karnad Shreekanth D. , Nayak Akshatha , Baidya Shalaka , Gogoi Nirmali , Rastogi Muskan 
Published: January 2025

Introduction
Adolescence is a distinct period with many important physiological and behavioural changes, including alterations in body composition, changes in fitness attitudes, physical activity, and sedentary behaviour.

Aim of the Study
The primary purpose of this study was to characterize foot posture in school-aged adolescents aged 11-17 years, and to investigate the relationships between foot posture and body composition and lower extremity muscular explosive strength.

Materials and Methods
This cross-sectional study involved 150 school-going adolescents (11-17 years) who regularly participated in physical education classes and were assessed for their body composition, degree of flexible pes planus, and performance on the standing long jump test. The Spearman correlation coefficient was used to demonstrate the relationship between the degree of flatfoot and the standing long jump test.

Results
The median Clarke’s angle for the right foot for male and female participants was 420, whereas for the left side, it was measured as a median of 430 and 420 for females and males, respectively. The median standing long jump test distances for males and females were 154.0 and 116.5 centimetres, respectively. A clinically relevant correlation was not observed, as the ρ values were =0.03, R2=0.001 and ρ=0.05, R2=0.001 for the right and left Clarke's angles when associated with standing long jump test distance, and the same test had a weak correlation (ρ=0.145) with body composition.

Conclusion
This study has highlighted that flexible flat feet are not a challenging concern and do not interfere with performance in relation to lower extremity explosive muscle strength.
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
Authors: Hashtarkhani Soheil , Zhou Yiwang , Kumsa Fekede Asefa , White-Means Shelley , Schwartz David L , Shaban-Nejad Arash 
Published: January 2025

Abstract

Background
Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates.

Objective
This study aims to assess breast cancer screening rates nationwide in the United States and investigate the impact of social determinants of health on these screening rates.

Methods
Data on mammography screening at the census tract level for 2018 and 2020 were collected from the Behavioral Risk Factor Surveillance System. We developed a large-scale dataset of social determinants of health, comprising 13 variables for 72,337 census tracts. Spatial analysis employing Getis-Ord Gi statistics was used to identify clusters of high and low breast cancer screening rates. To evaluate the influence of these social determinants, we implemented a random forest model, with the aim of comparing its performance to linear regression and support vector machine models. The models were evaluated using R2 and root mean squared error metrics. Shapley Additive Explanations values were subsequently used to assess the significance of variables and direction of their influence.

Results
Geospatial analysis revealed elevated screening rates in the eastern and northern United States, while central and midwestern regions exhibited lower rates. The random forest model demonstrated superior performance, with an R2=64.53 and root mean squared error of 2.06, compared to linear regression and support vector machine models. Shapley Additive Explanations values indicated that the percentage of the Black population, the number of mammography facilities within a 10-mile radius, and the percentage of the population with at least a bachelor’s degree were the most influential variables, all positively associated with mammography screening rates.

Conclusions
These findings underscore the significance of social determinants and the accessibility of mammography services in explaining the variability of breast cancer screening rates in the United States, emphasizing the need for targeted policy interventions in areas with relatively lower screening rates.
Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study
Authors: Bouktif Salah , Khanday Akib Mohi Ud Din , Ouni Ali 
Published: January 2025

Background
Studying the impact of COVID-19 on mental health is both compelling and imperative for the health care system’s preparedness development. Discovering how pandemic conditions and governmental strategies and measures have impacted mental health is a challenging task. Mental health issues, such as depression and suicidal tendency, are traditionally explored through psychological battery tests and clinical procedures. To address the stigma associated with mental illness, social media is used to examine language patterns in posts related to suicide. This strategy enhances the comprehension and interpretation of suicidal ideation. Despite easy expression via social media, suicidal thoughts remain sensitive and complex to comprehend and detect. Suicidal ideation captures the new suicidal statements used during the COVID-19 pandemic that represents a different context of expressions.

Objective
In this study, our aim was to detect suicidal ideation by mining textual content extracted from social media by leveraging state-of-the-art natural language processing (NLP) techniques.

Methods
The work was divided into 2 major phases, one to classify suicidal ideation posts and the other to extract factors that cause suicidal ideation. We proposed a hybrid deep learning–based neural network approach (Bidirectional Encoder Representations from Transformers [BERT]+convolutional neural network [CNN]+long short-term memory [LSTM]) to classify suicidal and nonsuicidal posts. Two state-of-the-art deep learning approaches (CNN and LSTM) were combined based on features (terms) selected from term frequency–inverse document frequency (TF-IDF), Word2vec, and BERT. Explainable artificial intelligence (XAI) was used to extract key factors that contribute to suicidal ideation in order to provide a reliable and sustainable solution.

Results
Of 348,110 records, 3154 (0.9%) were selected, resulting in 1338 (42.4%) suicidal and 1816 (57.6%) nonsuicidal instances. The CNN+LSTM+BERT model achieved superior performance, with a precision of 94%, a recall of 95%, an F1-score of 94%, and an accuracy of 93.65%.

Conclusions
Considering the dynamic nature of suicidal behavior posts, we proposed a fused architecture that captures both localized and generalized contextual information that is important for understanding the language patterns and predict the evolution of suicidal ideation over time. According to Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) XAI algorithms, there was a drift in the features during and before COVID-19. Due to the COVID-19 pandemic, new features have been added, which leads to suicidal tendencies. In the future, strategies need to be developed to combat this deadly disease.
Etiological structure and profile of antimicrobial resistance of pathogens in bacteremia in COVID-19 patients
Authors: Gusev D. A. , Musatov V. B. , Karnaukhov E. V. , Zhdanov K. V. , Gordeeva S. A. , Pavlov A. V. 
Published: January 2025

Goal. To investigate the spectrum of microorganisms, the level of antimicrobial resistance and to assess their effect on the outcomes of bacteremia among COVID­19 patients.Materials and methods. A retrospective analysis of potentially resistant bacteria detected in blood and the mortality rate among COVID­19 patients and patients with other diagnoses in the period from 01.01. – 12/31/2020.Results. In total, the analyzed pathogens were isolated from 168 patients, including 101 COVID­19 patients (group 1) and 67 patients with other diagnoses (group 2). Bloodstream infection were more often detected among COVID­19 patients (12.6 and 2.6 cases per 1000 patients, p<0.05). In group 1, the proportion of gram­-negative pathogens was higher than in group 2 (63.8% and 52.1%, p=0.012). The most commonly pathogen in group 1 is K. pneumoniae (31.5%, 41 cultures), in group 2 – S. aureus (35.2%, 25 cultures). Of particular importance is the identification of A. baumannii (32 and 4 cultures, p<0.001) and E. faecium (24 and 4 cultures, p=0.003) in group 1; S. aureus (25 and 11 cultures, p<0.001) and E. coli (9 and 6 cultures, p=0.038) – in group 2. Three leading types of microorganisms in group 1 have a high level of resistance: 96.9% of A. baumannii and 81.6% of K. pneumoniae were resistant to carbapenems, 36.8% of E. faecium was VRE. In group 1, several (22.8% and 6.0%, p=0.004) and resistant (70.3% and 41.8%, p<0.001) microorganisms were detected more frequently. The mortality rate of patients was higher in group 1 (68.3% and 50.7%, p=0.022). The occurrence of a bloodstream infection caused by a potentially resistant microorganism in COVID­19 patients is an unfavorable factor in the onset of death (p=0.022).Conclusion. COVID­19 patients with bacteremia have a high level of polymicrobial associations with a predominance of gram­-negative bacteria both in their composition and as a monoinfection. The isolated microorganisms have a high level of antimicrobial resistance, which must be taken into account when choosing antibiotics.
Analysis of survival of HIV-infected patients depending on various factors
Authors: Urunova D. M. , Akhmedjanova Z. I. , Akhmedjanov R. I. 
Published: January 2025

Purpose of the study: Identification of predictors of survival of HIV-infected patients for further optimization of medical care.Materials and methods. A retrospective study of data from 458 deceased HIV-infected patients who were registered at the Republican AIDS Center from 2000 to 2021 was conducted. The patient’s age, stage of HIV infection, comorbidity index, duration of follow-­up, duration of ART at the time of the patient’s death and causes of death were analyzed.Results. ART contributed to an increase in patient life expectancy, with 46.5% of patients aged 40 to 49 years at the time of reaching the end point of life, 23% – from 50 to 59 years, and 8.5% – over 60 years. At the time of death, 11.5% of patients were in the initial stages, 88.5% were in advanced stages of HIV infection (P <0.05). Life expectancy after diagnosis in 28.6% of patients ranged from 1 year to 5 years, in 25.3% – from 6 to 10 years, in 24.6% – from 11 to 15 years, and in 9.1% – from 15 to 20 years. A high comorbidity index was associated with worse patient survival. The median survival in patients with IC scores of 6 or more was 7 years, with IC scores of 1­5 – 6 years, and with IC scores of 0 – 11 years.Conclusion. For the first time in our country, a survival analysis of HIV-infected patients in long­term follow­up (more than 20 years) was carried out, which revealed that virological effectiveness 13­20 years after the start of ART was established in 95% of patients. It has been established that even with a low initial level of CD4 lymphocytes (<200 cells/μl), positive dynamics occur at the start of ART, but they weaken with life expectancy. The Charlson comorbidity index at detection was high in 59% – 6 or more points, despite the young and middle age of the patients. By the time of death, the comorbidity index had increased. It was found that survival of more than 15 years with ART was in 54% of HIV-infected patients, and without ART in 26% of patients, which shows the need to study factors that make it possible to live without ART.
What has changed in the attitude of health workers towards vaccination after the pandemic COVID-19
Authors: Kharit S. M. , Romanov L. V. , Konstantinova Yu. E. , Bogdan S. A. 
Published: January 2025

The attitude towards vaccination of medical workers has been studied repeatedly. After active campaigning for vaccination during the pandemic, there was a decrease in confidence in vaccinations in general.The aim of the work was analysis of the attitudes of medical workers towards vaccination, the effectiveness and safety of vaccines against various conditions in 2024 yMaterials and methods. In the online survey site www. meta.gcgie.ru in the period from 1.04.2024 to 1.06.2024 (2 calendar months).1,508 people took part, 91.6% women. By profession, out of 1033 respondents there were: 525 nurses (50.8%),156 therapists (15.1%), pediatricians – 115 (11.1%), surgeons 96 (9.3%), epidemiologists 41 (4.0%),. The questionnaire included 50 questions with 5­13 possible answers. Statistical processing of the survey results was carried out using a BI­system:Results. Out of 1045 respondents, 832 treat vaccinations positively (79,6%), 142 (13,6%) – neutrally, cautiously – 60 (5.7%) and negatively – 12 (1.1%), 25.1% of respondents (264 out of 1051) believe that it is better to get over some infections than to be vaccinated. There is a significant difference between confirming the answer about the need for vaccination and vaccinating yourself, as well as evaluating the effectiveness of the vaccine (even for measles vaccines, 90.7% say they need to be vaccinated, only 83.5% are vaccinated and only 76.7% are confident in the effectiveness of the vaccine. Only 49.9% (525 out of 1,053 responses) believed that vaccines against infections not included in the national vaccination calendar were necessary. The lack of confidence in the safety of vaccines is manifested in the fact that doctors associate vaccinations with the development of cerebral palsy, oncology (10.7% each), autoimmune diseases (38.3%), epilepsy (12.0%). Doctors named unsafe vaccines (83.7% – 881 out of 1052 responses), inefficiency (24.3% ­256 out of 1052), no need for vaccinations at all (14.5% ­157 out of 1052), religious reasons (38.4% 404 out of 1052 responses) as the reasons for patients’ refusal of vaccination. To improve the work on vaccination, 44.5% indicated the need for information on the official websites of the Ministry of Health of the Russian Federation, FMBA, Rospotrebnadzor and RoszdravnadzorConclusion The results of the survey indicate the need to modernize the system of training in vaccination of medical workers of various specialties, the development of new forms of information presentation, the use of official websites, the development of algorithms for communicating with the population on adherence to vaccination,
The Influence of Inspection Findings Emphasis on Auditor Mindsets and Judgments in Audits of Complex Estimates
Authors: Tegeler Amy C. 
Published: January 2025

ABSTRACT
I experimentally study how inspection findings emphasizing procedures performed versus judgment quality influence an auditor’s mindset and, in turn, how that mindset affects judgments. I find judgment (procedure) emphasis deficiencies elicit a (an) deliberative (implemental) mindset. I find deliberative auditors assess a biased estimate as less reasonable than implemental auditors and identify more contradictory information, replicating key findings from Griffith, Hammersley, Kadous, and Young (2015). I do not find evidence that deliberative auditors are overly conservative; they do not judge an unbiased estimate as less reasonable, nor are they less likely to reach a conclusion. Although I find a significant indirect effect of findings emphasis on judgment through mindset, I do not find an overall effect. By measuring mindset, I am able to identify certain auditors who default to a deliberative mindset when auditing an estimate, updating prior findings that suggest auditors generally default to an implemental mindset.
JEL Classifications: M40; M41; M42.
From the Classroom to Journal Publication: A Guide to Publishing Accounting Instructional Pedagogical Resources
Authors: Taylor Samantha , Cross Bryce , Nissen Anika , McGregor Janine , Richards Naomi 
Published: January 2025

ABSTRACT
Calls for increased rigor in accounting education persist, but it is unclear if the field has progressed. Assessing peer-reviewed accounting instructional pedagogical resources (i.e., instructional resources and cases) is crucial to fostering more rigorous contributions. To understand how academics can make such contributions, we analyzed instructional resources and cases with thematic analysis and machine learning methods. Predominant technical competencies were auditing, information technology, and financial accounting, whereas the most prevalent themes were data analytics in managerial accounting, profit and cost analysis of organizations, financial statements, and analytics and the auditor’s role. Underrepresented areas include financial accounting and reporting subtopics (e.g., nonprofit, derivatives, hedging instruments), technology subtopics (e.g., privacy-enhancing computation, cloud-native platforms, decision intelligence, generative AI), and areas of societal importance (e.g., imperialism, queering, equity, indigeneity). Encouraging academics to publish instructional pedagogical resources on these subjects could lead to innovative articles and address the need for increased rigor in accounting education.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: G31; G32; G33; M21.
Automated Retrieval and Categorization of SEC Data Using Python
Authors: Bonrath Annika , Eulerich Marc , Gehlen Nils 
Published: January 2025

ABSTRACT
Timely and accurate detection of fraudulent activities is important for understanding patterns and trends and implementing preventive measures. Accounting and Auditing Enforcement Releases (AAERs) are frequently used as a proxy for fraudulent financial reporting in accounting literature. However, manual processing makes analyzing these documents time-consuming and error-prone. Recognizing the standardized nature of AAERs, this paper presents an innovative automated approach using Python. Our methodology enhances the process of downloading AAER files from the U.S. Securities and Exchange Commission (SEC) website, introduces a structured categorization approach, and facilitates the alignment of the resulting AAER data with information from the EDGAR database. Our findings show improvements in the efficiency and accuracy of data access and categorization. The paper contributes to the field by providing a replicable, scalable approach for AAER retrieval and systematic categorization, enhancing the capacity of researchers to uncover insights into fraudulent activities and inform regulatory practices.
Data availability: The datasets generated and analyzed during the study are publicly available.
Budgetary Participation and Top Managers’ Earnings Forecasts
Authors: Ishida Souhei , Iwasawa Keita 
Published: January 2025

ABSTRACT
We examine whether and how budgetary participation practices affect top managers’ earnings forecasts. Previous research highlights that lower-level managers participating in the budgetary process may try to underestimate budgeted revenues or overestimate budgeted costs to make budgeted targets easier to achieve. This misleads top managers about a company’s true profit potential. This study utilizes management earnings forecasts released by top managers to proxy for their future earnings estimation and empirically tests the research model using data collected through a mail questionnaire survey and archival data on Japanese listed firms. We find that budgetary participation is positively associated with management forecast pessimism. Additionally, this positive association is more pronounced in firms with a stronger link between lower-level manager pay and performance. These results suggest that budgetary participation practices introduce bias into top managers’ earnings forecasts.
Data Availability: The data that support the findings of this study are available from the first author upon request.
JEL Classifications: M41.
Media Exposure and Corporate Labor Investment Decisions
Authors: Baloria Vishal P. , Lo Alvis K. , Shu Susan 
Published: January 2025

ABSTRACT
We examine whether the media can act as a friction that hampers the efficiency of corporate labor investment, a decision that attracts significant media attention. We develop a new measure of media exposure that takes into account the circulation and geographic proximity of a comprehensive set of media outlets. We show media exposure leads to greater labor investment inefficiency. Closer examination reveals that media exposure is associated with firms underhiring, but not underfiring. This underinvestment in labor by managers helps avoid future layoffs but is inefficient in that firms are left understaffed relative to their economic fundamentals. Further, we find that managers’ concerns about their personal reputation, but not the firm’s reputation, primarily drive our results. Our findings illustrate that the media can serve as a friction for, in addition to being a facilitator or monitor of, corporate labor investment decisions.
Data Availability: All data are available from public sources identified in the paper.
JEL Classifications: D25; G31; M51.
Forebygging av naturskader gjennom statlige planretningslinjer – velmente råd med lav gjennomslagskraft?
Authors: Junker Eivind 
Published: January 2025

Central government planning guidelines (SPR) are planning tools with high ambitions: Through these formalized decisions, the national government aims to provide clear guidelines for municipal planning based on selected considerations. However, the guidelines on climate adaptation and natural damage are general in content and leave significant discretion to the local authorities.
This chapter briefly describes the history and intention behind the SPR tool and analyses the content about natural damage prevention in current guidelines. The aim is to examine the extent to which the SPRs contribute to municipal efforts to avoid natural damage, considering the framework for the tool, efficiency and expe- diency. Finally, the chapter provides some reflections on whether alternative mea- sures could be more suitable.