bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-reports map the landscape of task states derived from brain imaging
Authors: Mckeown Bronte , Goodall-Halliwell Ian , Wallace Raven , Chitiz Louis , Mulholland Bridget , Karapanagiotidis Theodoros , Hardikar Samyogita , Strawson Will , Turnbull Adam , Vanderwal Tamara , Ho Nerissa , Wang Hao-Ting , Xu Ting , Milham Michael , Wang Xiuyi , Zhang Meichao , Alam Tirso Gonzalez , de Wael Reinder Vos , Bernhardt Boris , Margulies Daniel , Wammes Jeffrey , Jefferies Elisabeth , Leech Robert , Smallwood Jonathan 
Published: March 2024

Abstract

Psychological states influence our happiness and productivity; however, estimates of their impact have historically been assumed to be limited by the accuracy with which introspection can quantify them. Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging (fMRI). Such evidence suggests it may be possible to quantify the mapping between self-reports of experience and ‘ground-truth’ or biologically related representations of those states (e.g., those inferred from measures of brain activity). Here, we used machine learning to show that self-reported descriptions of experiences across tasks can reliably map the objective landscape of task states derived from brain activity. In our study, participants provided descriptions of their psychological states while performing tasks for which the contribution of different brain systems was available from prior fMRI studies. We used machine learning to combine these reports with descriptions of brain function to form a ‘state-space’ that reliably predicted patterns of brain activity based solely on unseen descriptions of experience. Our study demonstrates that introspection contains information that maps the objective task landscape inferred from brain activity.
Deep learning modeling framework for multi-resolution streamflow generation
Authors: Custodio Pereira do Carmo Fernanda , John Jeenu , Sushama Laxmi , Khaliq Muhammad Naveed 
Published: March 2024

ABSTRACT

Generating continuous streamflow information through integrated climate-hydrology modeling at fine spatial scales of the order of a few kilometers is often challenged by computational costs associated with running high-resolution (HR) climate models. To address this challenge, the present study explores deep learning approaches to generate HR streamflow information from that at low resolution (LR), based on runoff generated by climate models. Two sets of daily streamflow simulations spanning 10 years (2011–2020), at LR (50 km) and HR (5 km), for the Ottawa River basin, Canada, are employed. The proposed deep learning model is trained using upscaled features derived from LR streamflow simulation for the 2011–2018 period as input and the corresponding HR streamflow simulation as the target; data for 2019 are used for validation. The model estimates for the year 2020, when compared with unseen HR data for the same year, suggest good performance, with differences in monthly mean values for different accumulation area categories in the −0.7–5% range and correlation coefficients for streamflow values for the same accumulation area categories in the 0.92–0.96 range. The developed framework can be ported to other watersheds for generating similar information, which is required in climate change adaptation studies.
A manifold learning perspective on surrogate modeling of nitrate concentration in the Kansas River
Authors: Tufillaro Nicholas 
Published: March 2024

Abstract
A non-linear surrogate model of nitrate concentration in the Kansas River (USA) is described. The model is an (almost) Piece-wise Linear response surface that provides a mean field approximation to the dynamics of the measured data for nitrate plus nitrite (target product) correlations to turbidity and chlorophyll-a concentrations (input variables). The method extends the United States Geological Survey’s linear procedures for surrogate data modeling allowing for better approximations for river systems exhibiting algal blooms due to nutrient-rich source waters. The model and visualization procedures illustrated in the Kansas River example should be generally applicable to many medium-size rivers in agricultural regions.
Identification of Drug Targets and Agents Associated with Ferroptosis-related
Osteoporosis through Integrated Network Pharmacology and Molecular
Docking Technology
Authors: Huo Kailun , Yang Yiqian , Yang Tieyi , Zhang Weiwei , Shao Jin 
Published: March 2024

Background::
Osteoporosis is a systemic bone disease characterized by progressive reduction of
bone mineral density and degradation of trabecular bone microstructure. Iron metabolism plays an important
role in bone; its imbalance leads to abnormal lipid oxidation in cells, hence ferroptosis. In osteoporosis, however,
the exact mechanism of ferroptosis has not been fully elucidated.

Objective::
The main objective of this project was to identify potential drug target proteins and agents for the
treatment of ferroptosis-related osteoporosis.

Methods::
In the current study, we investigated the differences in gene expression of bone marrow mesenchymal
stem cells between osteoporosis patients and normal individuals using bioinformatics methods to obtain
ferroptosis-related genes. We could predict their protein structure based on the artificial intelligence database
of AlphaFold, and their target drugs and binding sites with the network pharmacology and molecular docking
technology.

Results::
We identified five genes that were highly associated with osteoporosis, such as TP53, EGFR, TGFB1,
SOX2 and MAPK14, which, we believe, can be taken as the potential markers and targets for the diagnosis
and treatment of osteoporosis. Furthermore, we observed that these five genes were highly targeted by
resveratrol to exert a therapeutic effect on ferroptosis-related osteoporosis.

Conclusion::
We examined the relationship between ferroptosis and osteoporosis based on bioinformatics and
network pharmacology, presenting a promising direction to the pursuit of the exact molecular mechanism of
osteoporosis so that a new target can be discovered for the treatment of osteoporosis.
Association of UGT1A Gene Polymorphisms with BKV Infection in Renal Transplantation Recipients
Authors: Yuan Jingwen , Fei Shuang , Gui Zeping , Wang Zijie , Chen Hao , Sun Li , Tao Jun , Han Zhijian , Ju Xiaobing , Tan Ruoyun , Gu Min , Huang Zhengkai 
Published: March 2024

Background:
BK virus (BKV) infection is an opportunistic infectious complication and constitutes
a risk factor for premature graft failure in kidney transplantation. Our research aimed to identify associations
and assess the impact of single-nucleotide polymorphisms (SNPs) on metabolism-related genes in patients
who have undergone kidney transplantation with BKV infection.

Material/Methods:
The DNA samples of 200 eligible kidney transplant recipients from our center, meeting
the inclusion criteria, have been collected and extracted. Next-generation sequencing was used to genotype
SNPs on metabolism-associated genes (CYP3A4/5/7, UGT1A4/7/8/9, UGT2B7). A general linear model
(GLM) was used to identify and eliminate confounding factors that may influence the outcome events. Multiple
inheritance models and haplotype analyses were utilized to identify variation loci associated with infection
caused by BKV and ascertain haplotypes, respectively.

Results:
A total of 141 SNPs located on metabolism-related genes were identified. After Hardy-Weinberg
equilibrium (HWE) and minor allele frequency (MAF) analysis, 21 tagger SNPs were selected for further association
analysis. Based on GLM results, no confounding factor was significant in predicting the incidence of
BK polyomavirus-associated infection. Then, multiple inheritance model analyses revealed that the risk of
BKV infection was significantly associated with rs3732218 and rs4556969. Finally, we detect significant associations
between haplotype T-A-C of block 2 (rs4556969, rs3732218, rs12468274) and infection caused by
BKV (P = 0.0004).

Conclusions:
We found that genetic variants in the UGT1A gene confer BKV infection susceptibility after kidney
transplantation.
Unraveling the Role of COMT Polymorphism in Dopamine-Mediated
Vasopressor Effects: An Observational Cross-Sectional Study
Authors: Sridharan Kannan , Jassim Anfal , Mohammed Qader Ali , Pasha Sheikh Abdul Azeez 
Published: March 2024

Aims::
To evaluate the association between rs4680 polymorphism in the COMT gene and the vasoconstrictive
effects of commonly used vasopressors.

Background::
Dopamine is a medication that is given intravenously to critically ill patients to help increase
blood pressure. Catechol O-Methyl Transferase (COMT) breaks down dopamine and other catecholamines.
There is a genetic variation in the COMT gene called rs4680 that can affect how well the enzyme works.
Studies have shown that people with this genetic variation may have different blood pressure levels. However,
no one has looked at how this genetic variation affects the way dopamine works to increase blood pressure.

Objectives::
To investigate the impact of the rs4680 polymorphism in the COMT gene on the pharmacodynamic
response to dopamine.

Methods::
Critically ill patients administered dopamine were included following the consent of their legally acceptable
representatives. Details on their demographic characteristics, diagnosis, drug-related details, changes
in the heart rate, blood pressure, and urinary output were obtained. The presence of rs4680 polymorphism in
the COMT gene was evaluated using a validated method.

Results::
One hundred and seventeen patients were recruited, and we observed a prevalence of rs4680 polymorphism
in 57.3% of our critically ill patients. Those with mutant genotypes were observed with an increase in
the median rate of change in mean arterial pressure (mm Hg/hour) [wild: 8.9 (-22.6 to 49.1); heterozygous mutant:
5.9 (-34.1 to 61.6); and homozygous mutant: 19.5 (-2.5 to 129.2)] and lowered urine output (ml/day)
[wild: 1080 (21.4 to 5900); heterozygous mutant: 380 (23.7 to 15800); and homozygous mutant: 316.7 (5.8 to
2308.3)].

Conclusion::
V158M (rs4680) polymorphism is widely prevalent in the population and was significantly associated
with altered effects as observed clinically. This finding suggests valuable insights into the molecular basis
of COMT function and its potential impact on neurotransmitter metabolism and related disorders. Large-scale
studies delineating the effect of these polymorphisms on various vasopressors are the need of the hour.
Individual and Dual Cytotoxicity of the Combination of Passiflora Caerulea Leaf Extract and Titanium Oxide Nanoparticles against A549, U937, and Hela Cells
Authors: Sindhura Lakku , Bobby Mohd. Nazneen , Srikanth Koigoora , Michael Helan Soundra Rani , Ashif Ikbal Abu Md , Thomas Sabu , Kargarzadeh Hanieh , Palit Partha 
Published: March 2024

Background:
The study addresses the underexplored realm of cytotoxicity evaluation
involving binary mixtures of Passiflora caerulea leaf extracts and Titanium nanoparticles
(TiO2NPs). The focus lies on understanding the combined effects of these components on cancer
cells (A549, U937, and HeLa).

Methods:
In vitro cytotoxicity assessments were employed to evaluate the toxicity of P. caerulea
leaf extracts, TiO2NPs, and their combination. The study utilized MTT, NRU, and LDH assays to
measure cellular viability. Additionally, reactive oxygen species (ROS) and glutathione levels
were assessed alongside the aforementioned assays.

Results:
The toxicity percentage exhibited dose-dependent behavior for P. caerulea leaf extracts,
TiO2NPs, and their combination. Interestingly, when P. caerulea leaf extract and TiO2NPs were
combined, the reduction in cell viability was noticeably more than when the exposures were made
separately. Moreover, the production of ROS was higher in the combined toxicity scenario, and a
more pronounced decrease in glutathione levels was observed compared to individual exposures.

Conclusion:
The findings suggest that the combined effects of P. caerulea leaf extract and
TiO2NPs induce greater cytotoxicity compared to their impacts. This underscores the potential for
synergistic cytotoxicity in combined exposure scenarios, warranting further exploration of combined
effects in future studies.
Extensive Review of Literature on Explainable AI (XAI) in Healthcare Applications
Authors: Mariappan Ramasamy 
Published: March 2024

:
Artificial Intelligence (AI) techniques are widely being used in the medical fields or
various applications including diagnosis of diseases, prediction and classification of diseases,
drug discovery, etc. However, these AI techniques are lacking in the transparency of the predictions
or decisions made due to their black box-type operations. The explainable AI (XAI)
addresses such issues faced by AI to make better interpretations or decisions by physicians.
This article explores XAI techniques in the field of healthcare applications, including the Internet
of Medical Things (IoMT). XAI aims to provide transparency, accountability, and traceability
in AI-based systems in healthcare applications. It can help in interpreting the predictions
or decisions made in medical diagnosis systems, medical decision support systems, smart
wearable healthcare devices, etc. Nowadays, XAI methods have been utilized in numerous
medical applications over the Internet of Things (IOT), such as medical diagnosis, prognosis,
and explanations of the AI models, and hence, XAI in the context of IoMT and healthcare has
the potential to enhance the reliability and trustworthiness of AI systems.
Pengaruh Regulasi Diri terhadap Prokrastinasi Akademik Mahasiswa di Pondok Pesantren Al Munawwir Yogyakarta
Authors: Handayani Nani 
Published: March 2024

Mahasiswa di Pondok Pesantren Al-Munawwir cenderung memiliki permasalahan prokrastinasi akademik. Penelitian ini bertujuan untuk meneliti pengaruh regulasi diri terhadap prokrastinasi akademik pada mahasiswa di Pondok Pesantren Al-Munawwir. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian survei yang dilakukan di Pondok Pesantren Al-Munawwir. Subjek penelitian berjumlah 317 mahasiswa dari 15 komplek dengan menggunakan teknik pengambilan sampel accidental sampling. Alat pengumpulan data menggunakan kuesioner online, yakni Google Form, yang terdiri Procrastination Scale milik Tuckman yang telah dimodifikasi dan skala regulasi diri yang telah peneliti susun. Validitas dalam skala regulasi diri menggunakan validitas isi melalui expert judgement. Validitas prokrastinasi dari Tuckman menggunakan uji validitas Confirmatory Factor Analysis CFA dengan memperoleh hasil model fit RMSEA (The Root Mean Square Error of Approximation ) =0.08. Reliabilitas dalam skala penelitian ini menggunakan koefisien reliabilitas Alpha Cronbach dengan hasil sebesar 0.853 pada skala prokrastinasi akademik serta sebesar 0.850 pada skala regulasi diri. Teknik analisis data yang digunakan pada penelitian ini yaitu analisis deskriptif dan analisis regresi linear sederhana. Hasil analisis regresi sederhana didapatkan nilai Asymp. Sig. sebesar α = 0,000 (p 0,05) sehingga regulasi diri berpengaruh secara signifikan terhadap prokrastinasi akademik. Hal tersebut menunjukan bahwa regulasi diri (X) dapat memprediksikan prokrastinasi akademik (Y) pada mahasiswa di Pondok Pesantren Almunawwir. Regulasi diri memberikan pengaruh sebesar 31,8% terhadap prokrastinasi akademik. Adapun garis persamaan regresi yang diperoleh yaitu Y= 119.414 -0.465 (X).
Telehealth Education in Allied Health Care and Nursing: Web-Based Cross-Sectional Survey of Students’ Perceived Knowledge, Skills, Attitudes, and Experience
Authors: Rettinger Lena , Putz Peter , Aichinger Lea , Javorszky Susanne Maria , Widhalm Klaus , Ertelt-Bach Veronika , Huber Andreas , Sargis Sevan , Maul Lukas , Radinger Oliver , Werner Franz , Kuhn Sebastian 
Published: March 2024

Background
The COVID-19 pandemic has highlighted the growing relevance of telehealth in health care. Assessing health care and nursing students’ telehealth competencies is crucial for its successful integration into education and practice.

Objective
We aimed to assess students’ perceived telehealth knowledge, skills, attitudes, and experiences. In addition, we aimed to examine students’ preferences for telehealth content and teaching methods within their curricula.

Methods
We conducted a cross-sectional web-based study in May 2022. A project-specific questionnaire, developed and refined through iterative feedback and face-validity testing, addressed topics such as demographics, personal perceptions, and professional experience with telehealth and solicited input on potential telehealth course content. Statistical analyses were conducted on surveys with at least a 50% completion rate, including descriptive statistics of categorical variables, graphical representation of results, and Kruskal Wallis tests for central tendencies in subgroup analyses.

Results
A total of 261 students from 7 bachelor’s and 4 master’s health care and nursing programs participated in the study. Most students expressed interest in telehealth (180/261, 69% very or rather interested) and recognized its importance in their education (215/261, 82.4% very or rather important). However, most participants reported limited knowledge of telehealth applications concerning their profession (only 7/261, 2.7% stated profound knowledge) and limited active telehealth experience with various telehealth applications (between 18/261, 6.9% and 63/261, 24.1%). Statistically significant differences were found between study programs regarding telehealth interest (P=.005), knowledge (P<.001), perceived importance in education (P<.001), and perceived relevance after the pandemic (P=.004). Practical training with devices, software, and apps and telehealth case examples with various patient groups were perceived as most important for integration in future curricula. Most students preferred both interdisciplinary and program-specific courses.

Conclusions
This study emphasizes the need to integrate telehealth into health care education curricula, as students state positive telehealth attitudes but seem to be not adequately prepared for its implementation. To optimally prepare future health professionals for the increasing role of telehealth in practice, the results of this study can be considered when designing telehealth curricula.
Outpatient service tariff determination based on unit cost analysis mixed with community ability and willingness to pay
Authors: Yuniantika  , Hendrartini Julita , Budiarto Arif 
Published: March 2024

Purpose: The study aims to calculate the rational outpatient tariff based on unit cost analysis, ability and willingness to pay.
Method: The research is an observational study with a qualitative approach. Secondary data are obtained retrospectively to calculate unit costs and tariffs. Primary data is collected through questionnaires to see the ability and willingness to pay (WTP).
Result: The calculation using the step-down method obtained the unit cost for general practice IDR 79,337, dental care IDR 151,635, psychologist consultation IDR 115,283, and fitness center IDR 236,555. The respondent's ATP value is IDR 138,808, with an average examination fee of IDR 56,093. When coupled with an improvement in service and facility quality, 58.1% of respondents agreed to a 10% rate increase. With a 20% rate increase, the willingness to pay decreases to 40.6%. In the bivariate analysis using the chi-square test, the variables significantly affecting WTP are patient perceptions of the suitability of service costs (p = 0.000). In contrast, age, gender, occupation, education, income, number of family members, and insurance ownership do not significantly influence WTP.
Conclusion: The service rate is lower than the unit cost calculation. By looking at the ability and willingness to pay, it is possible to evaluate the tariff.
Vitamin B6 in anxiety: sleep and immune function
Authors: Pertiwi Lintang Mega , Fanani Mohammad , Hikmayani Nur Hafidha 
Published: March 2024

Objective: This scoping review aims to explore the role of vitamin B6 in sleep duration and immune function in individuals with anxiety disorders.
Methods: A search was conducted on scientific databases such as PubMed, Science Direct, and Google Scholar using the keywords "vitamin B6", "sleep", "immune system," and "anxiety disorders." Only articles published in Indonesian or English between 2017-2023 were included.
Result: The findings of this review suggest that individuals with anxiety disorders experience shorter sleep duration and lower immune function compared to those without anxiety disorders. Previous studies have shown that short sleep duration can increase stress and inflammation in adolescents and adults. Vitamin B6 synthesizes neurotransmitters, which significantly regulate sleep and anxiety symptoms. Additionally, previous research has suggested that vitamin B6 plays a vital role in the immune system by reducing cytokine production and inflammation responses in many signaling pathways.
Conclusion: This scoping review provides preliminary evidence of the association between vitamin B6, sleep duration, and immune function, particularly in individuals with anxiety disorders. Further research is required to elucidate the mechanisms involved in this relationship. The findings of this review can support further research on the potential benefits of vitamin B6 for sleep duration and immune function.
The use of Electronic Medical Record (EMR) in hospitals during the COVID-19 pandemic in Indonesia: a systematic literature review
Authors: Paramesthi Prasasya , Jati Sutopo Patria , Suryoputro Antono 
Published: March 2024

Purpose: Electronic medical records (EMR) are information technology-based systems that store and manage patient medical data. EMR are beneficial for improving healthcare services' efficiency, effectiveness, and security. The COVID-19 pandemic has driven the adoption of EMR, but there are still challenges, such as the surge in patient numbers and problems with EMR filling. This study aimed to investigate the use of EMR in hospitals during the COVID-19 pandemic in Indonesia.
Method: This study was a systematic literature review using the PRISMA diagram. Article search was conducted based on the PICO model eligibility criteria. The articles used were retrieved from 3 databases: Google Scholar, ResearchGate, and Cerdika. The researcher limited the publication year of the journals to 2020-2021, when the COVID-19 pandemic was ongoing, and added the keyword "COVID-19" to the journals published in 2022-2023.
Results: The results of the study showed that the COVID-19 pandemic has had a significant impact and the need for the implementation of EMR due to its various benefits, such as improving the efficiency and effectiveness of healthcare services, facilitating access to patient health information, increasing collaboration among healthcare workers, accelerating the process of clinical decision-making, and improving the security and accuracy of health data. However, implementing EMR during the COVID-19 pandemic has only sometimes been smooth. Some challenges include suboptimal infrastructure, untrained human resources, and inadequate policies.
Conclusion: To overcome these challenges, efforts from various parties, including the government, hospitals, and healthcare workers, are needed.