bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cognitive-enhanced eHealth psychosocial stepped intervention for managing breast cancer-related cognitive impairment: Protocol for a randomized controlled trial
Authors: Serra-Blasco Maria , Souto-Sampera Arnau , Medina Joan C. , Flix-Valle Aida , Ciria-Suarez Laura , Arizu-Onassis Alejandra , Ruiz-Romeo Marina , Jansen Femke , Rodríguez Ana , Pernas Sonia , Ochoa-Arnedo Cristian 
Published: July 2024

Introduction Breast cancer often leads to cancer-related cognitive impairment (CRCI), which includes both objective and subjective cognitive deficits. While psychosocial interventions benefit quality of life and distress reduction, their impact on cognitive deficits is uncertain. This study evaluates the integration of a cognitive module into a digital psychosocial intervention for breast cancer patients. Methods In this randomized controlled trial (RCT), 88 recently diagnosed breast cancer (BC) patients will receive the ICOnnecta't program (control group) – a digital stepped intervention addressing a variety of psychosocial needs. The experimental group ( n = 88) will receive ICOnnecta’t plus a cognitive module. Assessments at baseline, 3, 6, and 12 months will measure the interventions’ impact on cognition, emotional distress, medication adherence, quality of life, post-traumatic stress, work functioning and healthcare experience. Feasibility and cost-utility analyses will also be conducted. Results The cognitive module includes three levels. The first level contains a cognitive screening using FACT-Cog Perceived Cognitive Impairment (PCI). Patients with PCI <54 progress to a cognitive psychoeducational campus (Level 2) with content on cognitive education, behavioural strategies and mindfulness. Patients with persistent or worsened PCI (≥6) after 3 months move to Level 3, an online cognitive training through CogniFit software delivered twice a week over 12 weeks. Conclusions This study assesses whether integrating a cognitive module into a digital psychosocial intervention improves objective and subjective cognition in breast cancer patients. Secondary outcomes explore cognitive improvement's impact on psychosocial variables. The research will contribute to testing efficacious approaches for detecting and addressing cognitive dysfunction in breast cancer patients. Trial registration ClinicalTrials.gov, NCT06103318. Registered 26 October 2023, https://classic.clinicaltrials.gov/ct2/show/NCT06103318?term=serra-blasco&draw=2&rank=4
Digital mental health strategies used by young people in Aotearoa New Zealand during the COVID-19 pandemic: ‘Just do it yourself, DIY’
Authors: Gibson Kerry , Trnka Susanna , Jonas Monique , Pomare Pikihuia , Thompson Shauney , Tiatia-Siau Jemaima , Aimiti Ma'ia'i KDee , Aoake Miriama , Bouttier-Esprit Thibaut , Spray Imogen , Vyas Sanchita 
Published: July 2024

Objective With rising rates of mental health distress amongst youth during the COVID-19 pandemic, digital resources have been identified as a valuable tools for delivering support to young people. However, many of the websites and apps developed by professionals to support the youth do not take account of the importance young people place on exercising their own agency in managing their mental health. This article investigates how young people in Aotearoa New Zealand used digital resources to manage their mental health needs during the COVID-19 pandemic. Methods The study gathered information from semi-structured interviews with 34 young people aged 16–22 years. The data was analysed using reflexive thematic analysis. Results Six themes were identified including: searching for online information about mental health; evaluating digital mental health resources; controlling mood through online activity; looking for escape in the virtual world; staying connected online; and giving and receiving support. Conclusion Young people's practices demonstrated their investment in their own agency, a general reluctance to engage with professional resources and recognition of the need to balance the risks and benefits of the informal strategies they preferred. Young people appeared sceptical of professionally-designed mental health resources and interventions and preferred to adapt and re-purpose the wide range of platforms and networks available in their informal digital worlds.
Exploratory analysis of swallowing behaviour in community-dwelling older adults using a wearable device: Differences by age and ingestant under different task loads
Authors: Tsujimoto Masashi , Hisajima Tomoko , Matsuda Saho , Tanaka Seiya , Suzuki Keisuke , Shimokakimoto Tomoya , Toyama Yoshio 
Published: July 2024

Objective To develop a new method of evaluating swallowing behaviour. Methods Sixty-nine healthy participants were divided into a younger (16 males and 16 females, mean age 39.09 ± 12.16 years) and older (18 males and 19 females, mean age 71.43 ± 5.50 years) group. The participants ingested water and yoghurt twice (directed and free swallowing) at rest and after performing simple daily life tasks (calculation and exercise). To measure swallowing frequency, we employed a smartphone-based, portable and neck-worn swallowing-sound-monitoring device. This device monitors swallowing behaviour continuously by collecting biological sounds from the neck without imposing behavioural restrictions. A neural network model of swallowing sound identification by deep learning was used for the subsequent evaluation. This device was used to obtain two types of saliva-swallowing sounds associated with different ingestants, at rest and after performing a stimulating task. Furthermore, we assessed the associated subjective psychological states. Results The younger group showed a higher directed swallowing frequency (for both water and yoghurt) than the older group did. Regarding the type of ingestant, the swallowing frequency for yoghurt was higher during free swallowing in both the young and the older groups. ‘Feeling calm’ was reported significantly more often in the older group after swallowing yoghurt following exercise. Conclusions Swallowing status in daily life was measured non-invasively using a wearable mobile device. It is important to consider the type of ingestant, daily living activities, and age when assessing swallowing.
Health Promotion in Early-Stage Dementia: A Focused Ethnographic Study of a 12-Week Group-Based Educational Intervention
Authors: Kajander Martine , Gjestsen Martha Therese , Ballard Clive , Næss Halvor , Testad Ingelin 
Published: July 2024

IntroductionEducational health promotion interventions for people with early-stage dementia have shown promising results, including empowering the person with dementia to live well and cope with their condition.Objective(s)The aim of this study was to explore how group interactions, course structure, and facilitation by healthcare professionals in a 12-week educational health promotion course promote coping, healthy behaviors, and empowerment in people with early-stage dementia.MethodA focused ethnographic approach was employed, collecting data through moderate participant observations of people with early-stage dementia who attended the health promotion course and field conversations with the facilitators. Additionally, before and after the participants had completed the course, the participants and their care partners were interviewed individually.ResultsThe findings showed that group discussions provided an opportunity for the facilitators to identify knowledge gaps, correct misinterpretations of symptoms, and tailor the information to the participants’ specific needs, thereby promoting healthy behaviors and empowering the participants. The consistent and structured format of the course appeared to reduce stress and promote learning. Learning about dementia first-hand, reminiscing, using humor, receiving support from others facing similar challenges, and receiving support and validation from facilitators all contributed to participants coping with their condition, processing negative emotions, and reducing internalized stigma.ConclusionThis study emphasized the importance of providing people living with early-stage dementia educational opportunities that combine first-hand information, peer and facilitator support, reminiscing, humor, recognition, and validation. These interventions can contribute to promote coping, healthy behaviors, and empowerment in people living with early-stage dementia.
Exploring the Usage of ChatGPT Among Medical Students in the United States
Authors: Zhang Janice S. , Yoon Christine , Williams Darnell K. Adrian , Pinkas Adi 
Published: July 2024

OBJECTIVES Chat Generative Pretrained Transformer (ChatGPT) is a large language model developed by OpenAI that has gained widespread interest. It has been cited for its potential impact on health care and its beneficial role in medical education. However, there is limited investigation into its use among medical students. In this study, we evaluated the frequency of ChatGPT use, motivations for use, and preference for ChatGPT over existing resources among medical students in the United States. METHODS Data was collected from an original survey consisting of 14 questions assessing the frequency and usage of ChatGPT in various contexts within medical education. The survey was distributed via email lists, group messaging applications, and classroom lectures to medical students across the United States. Responses were collected between August and October 2023. RESULTS One hundred thirty-one participants completed the survey and were included in the analysis. Of the total, 48.9% respondents responded that they have used ChatGPT in medical studies. Among ChatGPT users, 43.7% of respondents report using ChatGPT weekly, several times per week, or daily. ChatGPT is most used for writing, revising, editing, and summarizing purposes. 37.5% and 41.3% of respondents reported using ChatGPT more than 25% of the working time for these tasks respectively. Among respondents who have not used ChatGPT, more than 50% of respondents reported they were extremely unlikely or unlikely to use ChatGPT across all surveyed scenarios. ChatGPT users report they are more likely to use ChatGPT over directly asking professors or attendings (45.3%), textbooks (42.2%), and lectures (31.7%), and least likely to be used over popular flashcard application Anki (11.1%) and medical education videos (9.5%). CONCLUSIONS ChatGPT is an increasingly popular resource among medical students, with many preferring ChatGPT over other traditional resources such as professors, textbooks, and lectures. Its impact on medical education will only continue to grow as its capabilities improve.
Salt and Cardiovascular Disease
Authors: Vala Dayasagar Rao , Azam Mohammed Sadiq 
Published: July 2024

Heart disease is a leading cause of mortality and morbidity globally. Sedentary lifestyle, bad eating habits, and little to no exercise have led to an alarming rise of lifestyle-mediated diseases in recent times. Table salt is one of the staples of all our kitchens and dining tables. Salt contains almost 98% sodium chloride. The unregulated amount of salt in our diet has led to adverse cardiovascular consequences. Fast foods such as salted French fries and Chinese cuisine may contain as much as 7,000 mg of sodium in a single meal! The American Heart Association (AHA) recommends a daily intake of not more than 2.3 g of salt per day (roughly one teaspoon). For patients with hypertension, heart failure, or kidney disease, a lower daily cut-off of 1.5 g of salt has been proposed but is still under debate. There is conflicting evidence of going too low with salt restriction as recent studies have shown increased adverse events when salt was restricted to beyond the recommended per-day threshold. The DASH (dietary approaches to stop hypertension) diet is a novel dietary pattern that is recommended for patients with hypertension. The DASH diet is not a restrictive or short-term diet but rather a sustainable and balanced approach to eating. It promotes a wide variety of foods, focusing on whole, unprocessed options, and encourages portion control. Adhering to a DASH eating pattern by itself can lower the systolic blood pressure by 6–11 mm Hg. Reducing salt intake can be challenging, as salt is present in many processed and packaged foods, restaurant meals, and fast food. More than 70% of the salt we eat, according to the AHA, comes from processed, prepackaged, and restaurant foods. “Salt Lite” is often marketed as a healthier alternative for individuals looking to lower their sodium intake. It typically contains a blend of potassium chloride with sodium chloride and is hence not totally “sodium free.” Individuals considering the use of “Salt Lite” should be aware of its higher potassium content and should not use it if they have a kidney disease or are on drugs that can cause hyperkalemia. There is a common misconception that pink Himalayan salt is lower in sodium than regular table salt. However, both types consist of approximately 98% sodium chloride. Research has not shown that Himalayan salt has any unique health benefits compared to other dietary salts. It is hence imperative for all individuals to restrict dietary salt intake to the recommended levels—as a measure toward a healthy lifestyle as well as a therapeutic modality for those with established cardiovascular diseases.
TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana
Authors: Dong Feiyan , Song Jinghan , Zhang Huadong , Zhang Jiarun , Chen Yangfan , Zhou Xiaoyi , Li Yaqian , Ge Shijie , Liu Yike 
Published: July 2024

Abstract
Background
Squamosa promoter-binding protein-like (SPL) proteins are essential to plant growth and development as plant-specific transcription factors. However, the functions of SPL proteins in wheat need to be further explored.

Results
We cloned and characterized TaSPL6B of wheat in this study. Analysis of physicochemical properties revealed that it contained 961 amino acids and had a molecular weight of 105 kDa. Full-length TaSPL6B transcription activity was not validated in yeast and subcellular localization analysis revealed that TaSPL6B was distributed in the nucleus. Ectopic expression of TaSPL6B in Arabidopsis led to increasing number of branches and early flowering. TaSPL6B was highly transcribed in internodes of transgenic Arabidopsis. The expression of AtSMXL6/AtSMXL7/AtSMXL8 (homologous genes of TaD53) was markedly increased, whereas the expression of AtSPL2 (homologous genes of TaSPL3) and AtBRC1 (homologous genes of TaTB1) was markedly reduced in the internodes of transgenic Arabidopsis. Besides, TaSPL6B, TaSPL3 and TaD53 interacted with one another, as demonstrated by yeast two-hybrid and bimolecular fluorescence complementation assays. Therefore, we speculated that TaSPL6B brought together TaD53 and TaSPL3 and enhanced the inhibition effect of TaD53 on TaSPL3 through integrating light and strigolactone signaling pathways, followed by suppression of TaTB1, a key repressor of tillering.

Conclusions
As a whole, our findings contribute to a better understanding of how SPL genes work in wheat and will be useful for further research into how TaSPL6B affects yield-related traits in wheat.
The genetic effects of hormones modulated by the Pituitary-Thyroid/Adrenal/Gonadal axis on the risk of developing venous thromboembolism: a mendelian randomization study
Authors: Tian Hao , Xie Chaozheng , Teng Biyun , Zeng Qiu , Zhao Yu , Li Fenghe , Jiang Chuli , Chen Zheng 
Published: July 2024

Abstract
Background
The aim of this study was to explore the genetic effects of hormones modulated through the pituitary-thyroid/adrenal/gonadal axis on the risk of developing venous thromboembolism (VTE) and to investigate the potentially causal relationships between them.

Methods
A two-sample Mendelian randomization (MR) design was used. The single-nucleotide polymorphisms (SNPs) used as instrumental variables for various hormones and hormone-mediated diseases were derived from published genome-wide association studies (GWASs). Summary statistics for the risk of developing VTE (including deep venous thrombosis [DVT] and pulmonary embolism [PE]) were obtained from the UK Biobank and the FinnGen consortium. Inverse-variance weighting (IVW) was applied as the primary method to analyse causal associations. Other MR methods were used for supplementary estimates and sensitivity analysis.

Results
A genetic predisposition to greater free thyroxine (FT4) concentrations was associated with a greater risk of developing DVT (OR = 1.0007, 95%CI [1.0001–1.0013], p = 0.0174) and VTE (OR = 1.0008, 95%CI [1.0002–1.0013], p = 0.0123). Genetically predicted hyperthyroidism was significantly associated with an increased risk of developing DVT (OR = 1.0685, 95%CI [1.0139–1.1261], p = 0.0134) and VTE (OR = 1.0740, 95%CI [1.0165–1.1348], p = 0.0110). According to the initial MR analysis, testosterone concentrations were positively associated with the risk of developing VTE (OR = 1.0038, 95%CI [1.004–1.0072], p = 0.0285). After sex stratification, estradiol concentrations were positively associated with the risk of developing DVT (OR = 1.0143, 95%CI [1.0020–1.0267], p = 0.0226) and VTE (OR = 1.0156, 95%CI [1.0029–1.0285], p = 0.0158) in females, while the significant relationship between testosterone and VTE did not persist. SHBG rs858518 was identified as the only SNP that was associated with an increased risk of developing VTE, mediated by estradiol, in females.

Conclusions
Genetically predicted hyperthyroidism and increased FT4 concentrations were positively associated with the risk of developing VTE. The effects of genetically predicted sex hormones on the risk of developing VTE differed between males and females. Greater genetically predicted estradiol concentrations were associated with an increased risk of developing VTE in females, while the SHBG rs858518 variant may become a potential prevention and treatment target for female VTE.
Investigation of acute encephalitis syndrome with implementation of metagenomic next generation sequencing in Nepal
Authors: Rajeev Shrestha , Nishan Katuwal , Dipesh Tamrakar , M Tato Cristina , Manu Vanaerschot , Vida Ahyong , Juliana Gil , Surendra Kumar Madhup , Binod Gupta , Runa Jha 
Published: July 2024

Abstract
Background
The causative agents of Acute Encephalitis Syndrome remain unknown in 68–75% of the cases. In Nepal, the cases are tested only for Japanese encephalitis, which constitutes only about 15% of the cases. However, there could be several organisms, including vaccine-preventable etiologies that cause acute encephalitis, when identified could direct public health efforts for prevention, including addressing gaps in vaccine coverage.

Objectives
This study employs metagenomic next-generation-sequencing in the investigation of underlying causative etiologies contributing to acute encephalitis syndrome in Nepal.

Methods
In this study, we investigated 90, Japanese-encephalitis-negative, banked cerebrospinal fluid samples that were collected as part of a national surveillance network in 2016 and 2017. Randomization was done to include three age groups (< 5-years; 5-14-years; >15-years). Only some metadata (age and gender) were available. The investigation was performed in two batches which included total nucleic-acid extraction, followed by individual library preparation (DNA and RNA) and sequencing on Illumina iSeq100. The genomic data were interpreted using Chan Zuckerberg-ID and confirmed with polymerase-chain-reaction.

Results
Human-alphaherpes-virus 2 and Enterovirus-B were seen in two samples. These hits were confirmed by qPCR and semi-nested PCR respectively. Most of the other samples were marred by low abundance of pathogen, possible freeze-thaw cycles, lack of process controls and associated clinical metadata.

Conclusion
From this study, two documented causative agents were revealed through metagenomic next-generation-sequencing. Insufficiency of clinical metadata, process controls, low pathogen abundance and absence of standard procedures to collect and store samples in nucleic-acid protectants could have impeded the study and incorporated ambiguity while correlating the identified hits to infection. Therefore, there is need of standardized procedures for sample collection, inclusion of process controls and clinical metadata. Despite challenging conditions, this study highlights the usefulness of mNGS to investigate diseases with unknown etiologies and guide development of adequate clinical-management-algorithms and outbreak investigations in Nepal.
Parkinson's image detection and classification based on deep learning
Authors: Li Hui , Yang Zixuan , Qi Weimin , Yu Xinchen , Wu Jiaying , Li Haining 
Published: July 2024

Abstract
Objective
There are two major issues in the MRI image diagnosis task for Parkinson's disease. Firstly, there are slight differences in MRI images between healthy individuals and Parkinson's patients, and the medical field has not yet established precise lesion localization standards, which poses a huge challenge for the effective prediction of Parkinson's disease through MRI images. Secondly, the early diagnosis of Parkinson's disease traditionally relies on the subjective judgment of doctors, which leads to insufficient accuracy and consistency. This article proposes an improved YOLOv5 detection algorithm based on deep learning for predicting and classifying Parkinson's images.

Methods
This article improves the YOLOv5s network as the basic framework. Firstly, the CA attention mechanism was introduced to enable the model to dynamically adjust attention based on local features of the image, significantly enhancing the sensitivity of the model to PD related small pathological features; Secondly, replace the dynamic full dimensional convolution module to optimize the multi-level extraction of image features; Finally, the coupling head strategy is adopted to improve the execution efficiency of classification and localization tasks separately.

Results
We validated the effectiveness of the proposed method using a dataset of 582 MRI images from 108 patients. The results show that the proposed method achieves 0.961, 0.974, and 0.986 in Precision, Recall, and mAP, respectively, and the experimental results are superior to other algorithms.

Conslusion
The improved model has achieved high accuracy and detection accuracy, and can accurately detect and recognize complex Parkinson's MRI images.

Significance
This algorithm has shown good performance in the early diagnosis of Parkinson's disease and can provide clinical assistance for doctors in early diagnosis. It compensates for the limitations of traditional methods.