bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endoscopic Tunnel Dissection of an Oesophageal Bronchogenic Cyst: A Case Report
Authors: Yiu Sharon Wing-Kee , Yozu Masato , Luo Derek , Sekra Anurag 
Published: October 2024

Introduction:
A bronchogenic cyst is a very rare congenital malformation typically found in the middle and superior mediastinum. Infrequently, it can be located in the pericar-dium, diaphragm, oesophagus, and stomach. Intramural oesophageal bronchogenic cysts are highly uncommon, and because of this, they have not been extensively studied. They are gen-erally asymptomatic; however, due to their potential to cause complications, such as evolution into malignancy, the removal of these cysts is recommended. Routinely, techniques, including thoracotomy and thoracoscopy, have been adopted for excision. This case report details our success in performing a complete resection of an intramural oesophageal bronchogenic cyst via a novel approach of Submucosal Tunneling Endoscopic Resection (STER).

Case Presentation:
A 62-year-old woman was referred for an outpatient gastroscopy and co-lonoscopy for further investigation of her unexplained iron deficiency anaemia, abdominal pain, diarrhoea, and weight loss. A single oesophageal nodule was found on gastroscopy, which was further characterized and deemed to be benign on upper endoscopic ultrasound. The lesion was removed via the STER technique. During the procedure, submucosal fibres were dissected and a full-thickness myotomy was performed to completely remove the lesion. Histologically, the lesion showed a cyst lining comprising ciliated columnar epithelium, a finding consistent with a bronchogenic cyst. The patient maintained a normal diet and re-mained asymptomatic throughout the follow-up period.

Conclusion:
This report documents the successful resection of an oesophageal bronchogenic cyst via the STER technique. This novel approach appears to be a valuable tool with negligible invasiveness. It provides a feasible option for patients.
An Analysis of the Prevalence and Trends in Drug-Related Lyrics on Twitter (X): Quantitative Approach
Authors: Luo Waylon , Jin Ruoming , Kenne Deric , Phan NhatHai , Tang Tang 
Published: October 2024

Background
The pervasiveness of drug culture has become evident in popular music and social media. Previous research has examined drug abuse content in both social media and popular music; however, to our knowledge, the intersection of drug abuse content in these 2 domains has not been explored. To address the ongoing drug epidemic, we analyzed drug-related content on Twitter (subsequently rebranded X), with a specific focus on lyrics. Our study provides a novel finding on the prevalence of drug abuse by defining a new subcategory of X content: “tweets that reference established drug lyrics.”

Objective
We aim to investigate drug trends in popular music on X, identify and classify popular drugs, and analyze related artists’ gender, genre, and popularity. Based on the collected data, our goal is to create a prediction model for future drug trends and gain a deeper understanding of the characteristics of users who cite drug lyrics on X.

Methods
X data were collected from 2015 to 2017 through the X streaming application programming interface (API). Drug lyrics were obtained from the Genius lyrics database using the Genius API based on drug keywords. The Smith-Waterman text-matching algorithm is used to detect the drug lyrics in posts. We identified famous drugs in lyrics that were posted. Consequently, the analysis was extended to related artists, songs, genres, and popularity on X. The frequency of drug-related lyrics on X was aggregated into a time-series, which was then used to create prediction models using linear regression, Facebook Prophet, and NIXTLA TimeGPT-1. In addition, we analyzed the number of followers of users posting drug-related lyrics to explore user characteristics.

Results
We analyzed over 1.97 billion publicly available posts from 2015 to 2017, identifying more than 157 million that matched drug-related keywords. Of these, 150,746 posts referenced drug-related lyrics. Cannabinoids, opioids, stimulants, and hallucinogens were the most cited drugs in lyrics on X. Rap and hip-hop dominated, with 91.98% of drug-related lyrics from these genres and 84.21% performed by male artists. Predictions from all 3 models, linear regression, Facebook Prophet, and NIXTLA TimeGPT-1, indicate a slight decline in the prevalence of drug-related lyrics on X over time.

Conclusions
Our study revealed 2 significant findings. First, we identified a previously unexamined subset of drug-related content on X: drug lyrics, which could play a critical role in models predicting the surge in drug-related incidents. Second, we demonstrated the use of cutting-edge time-series forecasting tools, including Facebook Prophet and NIXTLA TimeGPT-1, in accurately predicting these trends. These insights contribute to our understanding of how social media shapes public behavior and sentiment toward drug use.
Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study
Authors: Xie Junan , Li Shilin , Song Zhen , Shu Lin , Zeng Qing , Huang Guozhi , Lin Yihuan 
Published: October 2024

Background
Patients with knee osteoarthritis (KOA) often present lower extremity motor dysfunction. However, traditional radiography is a static assessment and cannot achieve long-term dynamic functional monitoring. Plantar pressure signals have demonstrated potential applications in the diagnosis and rehabilitation monitoring of KOA.

Objective
Through wearable gait analysis technology, we aim to obtain abundant gait information based on machine learning techniques to develop a simple, rapid, effective, and patient-friendly functional assessment model for the KOA rehabilitation process to provide long-term remote monitoring, which is conducive to reducing the burden of social health care system.

Methods
This cross-sectional study enrolled patients diagnosed with KOA who were able to walk independently for 2 minutes. Participants were given clinically recommended functional tests, including the 40-m fast-paced walk test (40mFPWT) and timed up-and-go test (TUGT). We used a smart shoe system to gather gait pressure data from patients with KOA. The multidimensional gait features extracted from the data and physical characteristics were used to establish the KOA functional feature database for the plantar pressure measurement system. 40mFPWT and TUGT regression prediction models were trained using a series of mature machine learning algorithms. Furthermore, model stacking and average ensemble learning methods were adopted to further improve the generalization performance of the model. Mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE) were used as regression performance metrics to evaluate the results of different models.

Results
A total of 92 patients with KOA were included, exhibiting varying degrees of severity as evaluated by the Kellgren and Lawrence classification. A total of 380 gait features and 4 physical characteristics were extracted to form the feature database. Effective stepwise feature selection determined optimal feature subsets of 11 variables for the 40mFPWT and 10 variables for the TUGT. Among all models, the weighted average ensemble model using 4 tree-based models had the best generalization performance in the test set, with an MAE of 2.686 seconds, MAPE of 9.602%, and RMSE of 3.316 seconds for the prediction of the 40mFPWT and an MAE of 1.280 seconds, MAPE of 12.389%, and RMSE of 1.905 seconds for the prediction of the TUGT.

Conclusions
This wearable plantar pressure feature technique can objectively quantify indicators that reflect functional status and is promising as a new tool for long-term remote functional monitoring of patients with KOA. Future work is needed to further explore and investigate the relationship between gait characteristics and functional status with more functional tests and in larger sample cohorts.
Co-Design of an Escape Room for e-Mental Health Training of Mental Health Care Professionals: Research Through Design Study
Authors: Bierbooms Joyce J P A , Sluis-Thiescheffer Wouter R J W , Feijt Milou Anne , Bongers Inge M B 
Published: October 2024

Background
Many efforts to increase the uptake of e-mental health (eMH) have failed due to a lack of knowledge and skills, particularly among professionals. To train health care professionals in technology, serious gaming concepts such as educational escape rooms are increasingly used, which could also possibly be used in mental health care. However, such serious-game concepts are scarcely available for eMH training for mental health care professionals.

Objective
This study aims to co-design an escape room for training mental health care professionals’ eMH skills and test the escape room’s usability by exploring their experiences with this concept as a training method.

Methods
This project used a research through design approach with 3 design stages. In the first stage, the purpose, expectations, and storylines for the escape room were formulated in 2 co-design sessions with mental health care professionals, game designers, innovation staff, and researchers. In the second stage, the results were translated into the first escape room, which was tested in 3 sessions, including one web version of the escape room. In the third stage, the escape room was tested with mental health care professionals outside the co-design team. First, 2 test sessions took place, followed by 3 field study sessions. In the field study sessions, a questionnaire was used in combination with focus groups to assess the usability of the escape room for eMH training in practice.

Results
An escape room prototype was iteratively developed and tested by the co-design team, which delivered multiple suggestions for adaptations that were assimilated in each next version of the prototype. The field study showed that the escape room creates a positive mindset toward eMH. The suitability of the escape room to explore the possibilities of eMH was rated 4.7 out of 5 by the professionals who participated in the field study. In addition, it was found to be fun and educational at the same time, scoring 4.7 (SD 0.68) on a 5-point scale. Attention should be paid to the game’s complexity, credibility, and flexibility. This is important for the usefulness of the escape room in clinical practice, which was rated an average of 3.8 (SD 0.77) on a 5-point scale. Finally, implementation challenges should be addressed, including organizational policy and stimulation of eMH training.

Conclusions
We can conclude that the perceived usability of an escape room for training mental health care professionals in eMH skills is promising. However, it requires additional effort to transfer the learnings into mental health care professionals’ clinical practice. A straightforward implementation plan and testing the effectiveness of an escape room on skill enhancement in mental health care professionals are essential next steps to reach sustainable goals.
Causal Inference for Hypertension Prediction
With Wearable E
lectrocardiogram and P
hotoplethysmogram Signals: Feasibility Study
Authors: Gon
g Ke , Chen Yifan , Song Xinyue , Fu Zhizhong , Ding Xiaorong 
Published: October 2024

Abstract

Background

Hypertension is a leading cause of cardiovascular disease and premature death worldwide, and it puts a heavy burden on the healthcare system. Therefore,

it is
very important to detect and evaluate hypertension and related cardiovascular events
to enable early prevention, detection, and management. Hypertension can be detected in a timely manner with cardiac signals, such as through an electrocardiogram (ECG) and photoplethysmogram (PPG) ,

which can be observed via wearable sensors. Most previous studies predicted hypertension from ECG and PPG signals with extracted features that are correlated with hypertension. However, correlation is sometimes unreliable and may be affected by confounding factors
.

Objective

The aim of this study was to investigate the feasibility of predicting the risk of hypertension by exploring features that are causally related to hypertension via causal inference methods. Additionally, we paid special attention to and verified the reliability and effectiveness of causality compared to correlation.

Methods

We used a large public dataset from the Aurora Project
, which was conducted by Microsoft Research. The dataset included diverse individuals who were balanced in terms of gender, age, and the condition of hypertension, with their ECG and PPG signals simultaneously acquired with wrist
-worn wearable devices. We first extracted 205 features from the ECG and PPG signals, calculated
6 statistical metrics for these 205 features, and selected some valuable features out of the 205 features under each statistical metric. Then,
6 causal graphs of the selected features for each kind of statistical metric and hypertension were constructed with the equivalent greedy search algorithm. We further fused the
6 causal graphs into
1 causal graph and identified features that were causally related to hypertension from the causal graph
.

Finally, we

used these features to detect hypertension via machine learning algorithms.

Results

We validated the proposed method on 405 subjects.
We identified

24 causal features
that were

associated with hypertension. The causal features
could detect hypertension with an accuracy of 89%, precision of 92
% ,
and recall of 82%, which outperformed detection with correlation features (accuracy of 85%, precision of 88
% ,
and recall of 77%).

Conclusions

The results indicated that the causal inference
–based approach can potentially clarify the mechanism of hypertension detection with noninvasive signals and effectively detect hypertension. It also reveal
ed that causality can be more reliable and effective than correlation for hypertension detection and other application scenarios.
Dyeing and Performance Testing of Chitosan-Modified Cotton Fabrics with Tea Polyphenols
Authors: Zhao Lixue , Zhu Chunyan , Lin Yanping , Yang Chen 
Published: October 2024

Abstract
Tea polyphenols are one of the primary components of tea leaves and possess various beneficial effects, including radiation resistance, detoxification, antioxidation, antibacterial properties, anti-aging effects, digestive support, anti-cancer properties, and immune system enhancement. This study focuses on utilizing tea polyphenols for the functional finishing of chitosan-modified cotton fabrics, with the aim of developing an environmentally friendly and efficient green functional finishing process. The analysis reveals that the optimal dyeing parameters for cotton fabrics modified with chitosan and using a mass fraction concentration of 3% tea polyphenols are as follows: a pH value of 7, temperature of 50°C, dyeing time of 60 minutes, and a tea polyphenol o.w.f concentration exceeding 6%. Under these processing conditions, the chitosan-modified cotton fabrics demonstrate excellent colorfastness to sunlight, water, and friction, all exceeding grade 4. Furthermore, they exhibit good antibacterial properties, UV protection, and odor resistance, making them highly practical.
Death Preparation and Quality of Life amongst Family Caregivers of Terminal Cancer Patients: A Multicentre Cross-sectional Study
Authors: Kim Yun-A , Lee JaeHyuck , Lee Yoo Jeong , Lee Chung Woo , Hwang Sun Wook , Seo Min Seok , Kim Sun Hyun , Ahn Hong Yup , Hwang In Cheol 
Published: October 2024

Objectives:
Caring for ill cancer patients imposes a considerable burden on families, significantly reducing quality of life (QoL). This study examined the association between death preparation and QoL amongst family caregivers (FCs) of terminally ill patients with cancer in South Korea.

Materials and Methods:
A multicentre cross-sectional survey using questionnaires was conducted in nine inpatient palliative care units in South Korea. Data from 170 FCs who answered questions about preparedness for death were analysed. A stepwise multivariate logistic model was used to identify the factors associated with FCs’ QoL. The estimated QoL scores were also compared between the groups according to preparedness level.

Results:
Factors associated with high QoL included old age, fewer daily caregiving hours, fewer caregiving durations and practical preparedness for death. The well-prepared group had significantly higher QoL scores in the burdensome domain. This significant association remained robust in FCs with low educational or social support levels, poor resilience and dysfunctional families.

Conclusion:
Practically, well-prepared FCs experienced a high QoL in hospice care settings. FCs are likely to benefit from assessment and encouragement of their preparedness for death.
Perception of Social Support and Prevalence of Self-Reported Depressive Symptoms among Patients with Head-and-Neck Squamous Cell Carcinoma Treated at a Tertiary Cancer Centre in North India
Authors: Rani Bhavna , Sinha Aditi Prashant , Sharma Kamlesh Kumari , Prasad Barre Vijay , Srinivasan Muthuvenkatachalam , Biswas Ahitagni 
Published: October 2024

Objectives:
This study was conducted to determine and correlate the perception of social support and the prevalence of self-reported depressive symptoms among patients with head-and-neck squamous cell carcinoma (HNSCC).

Materials and Methods:
This cross-sectional study included 100 patients with HNSCC receiving treatment at a tertiary cancer centre in north India. They were enrolled by a convenient sampling technique. Subsequently, data regarding sociodemographic profile, clinical profile, perception of social support and prevalence of self-reported depressive symptoms were collected through face-to-face interviews using a subject datasheet, Multidimensional Scale of Perceived Social Support (MSPSS) and Patient Health Questionnaire-9.

Results:
Most of the HNSCC patients, 37%, were in the 42–54 years age category. A male gender predilection (85%) was noted. The two most common subsites involved were the oral cavity (61%) followed by the oropharynx (26%). A majority, 60% of the patients had high social support. Among the subscales of the MSPSS, high social support was obtained majorly from the family (98%), followed by significant others (66%) and friends (52%). The prevalence of self-reported moderate-to-severe depressive symptoms was noted in 36% of patients. The perception of social support and the prevalence of self-reported depressive symptoms showed a weak negative correlation (r = −0.262, P = 0.008).

Conclusion:
Despite receiving high social support, there was a high prevalence of self-reported moderate-to-severe depressive symptoms in patients with HNSCC. Therefore, it is pertinent to monitor the mental health of patients afflicted with HNSCC and provide mental health rehabilitation as per their needs.
Learning medical sociology through an innovative ‘Elective study module’ integrating humanities with medicine for undergraduate students of a medical college in Bengaluru, India
Authors: GOMES NISHA , HARIKUMAR VIDYA , JOSEPH JAMES , MOHAPATRA APARNA , RAI AMAL , SENTHIL SIDDHARTH , VARUGHESE NAMITHA , MONY PREM 
Published: October 2024

Background
The newly introduced ‘Elective programme’, a voluntary special study module in the final phase of the undergraduate medical curriculum, offers scope for new immersive, self-directed learning opportunities. We describe a programme of study for learning ‘medical sociology’ through the innovative use of humanities in medicine.

Methods
Our elective module, called ‘Community Health and Rock Music’ (CHaRM), was a 2-week programme, merging the curricular subject of community health with ‘rock music’ as an exposure to the ‘counter-culture’ outside of the medical world. The half-day sessions consisted of: (i) watching/listening to a rock song-video without reading its lyrics; (ii) listening to the same song again but with lyrics; (iii) undertaking an emotionally stimulating activity (watching a movie, making a site-visit, etc.); and (iv) debriefing, to identify/discuss the underlying social determinants of health and their relevance in the grooming of a socially aware medical student. Formative assessment was intended to gauge levels of expression of the affective domain (attitude/emotions).

Results
Seven of 143 students volunteered for this programme. Key learnings were a clear appreciation of the societal determinants of health (such as deprivation/discrimination/social structures); multi-level causation of diseases; social issues not addressed in traditional medical curriculum; personal growth; teamwork; and the role of empathy in medical practice. Additional learning was the exposure to the ‘counter-culture of arts’. All 7 student assessments ‘met expectation’, with 4 of them ‘exceeding expectation’.

Conclusion
An ‘elective programme’ combining humanities with medicine is potentially an innovative, student-centric and replicable model of learning that impacts the affective domain critical for doctors-in-training.
Проектная мастерская как способ организации внеурочной деятельности по информатике в начальной школе
Authors: Пучкова Е.С. 
Published: October 2024

В статье предлагается описание методов и приемов работы педагога в проектной мастерской с учащимися, представлены варианты развития мотивации младших школьников, способы контроля и оценивания их достижений для определения эффективности занятия. Акцентируется внимание читателя на том, что организация внеурочной деятельности по информатике в формате проектных мастерских является одной из задач, нацеленных как на формирование положительного отношения учащихся начальных классов к школьным предметам, так и на повышение интереса к ним на основе понимания значимости и необходимости своей работы.
The organization of extracurricular activities in computer science in the format of design workshops for creating and further applying the results of design activities in the educational process is one of the most important and interesting tasks, both to form a positive attitude of primary school students to school subjects and to increase interest in them the basis of understanding the significance and necessity of their work. The article provides a description of the methods and techniques of the teachers work in the project workshop with students, presents motivation options for younger students, ways to monitor and evaluate their achievements to determine the effectiveness of the lesson.
Подходы к описанию модели проектирования сценариев уроков по технологии на портале «Московской электронной школы»
Authors: Заславская О.Ю. , Кац С.В. , Махотин Д.А. 
Published: October 2024

В статье рассмотрены результаты проведенной аналитической работы по анализу уроков технологии, представленных на портале Московской электронной школы (МЭШ). Выявлены причины популярности и востребованности тех или иных сценариев уроков технологии. Проанализирована типология этих уроков. Представлено соотношение типов и видов уроков по классической типологии, а также представлена модель и этапы разработки и проектирования уроков по технологии на портале Московской электронной школы .
The article discusses the results of the analytical work on the analysis of technology lessons presented on the portal Moscow electronic school (MES). The reasons of popularity and demand of these or those scenarios of technology lessons are revealed. The typology of these lessons is analyzed. The ratio of types and types of lessons in classical typology is presented, as well as the model and stages of development and design of lessons in technology on the portal Moscow electronic school .