bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trunk symmetry indices can affect the risk of falling in older adults (Correlational study)
Authors: ardekani Mohammad karimizadeh , hemasi Kimiya 
Published: March 2024

Abstract
Background
According to the statistics of the World Health Organization (WHO), the number of aging people is increasing. Paying attention to the issues, needs and diseases of this stage is a social necessity to maintain health and functional ability. Falling is one of the most common causes of injury in aging people and affects their health. In this regard, it is necessary to diagnose and evaluate aging patients at risk of falling with noninvasive and low-cost methods. The purpose of this study was to investigate the relationship between trunk symmetry indices and the risk of falling in aging men.
Methods
In the present study, 50 elderly men between 75 and 85 years old were selected. Then, height and weight were measured, and anatomical points were marked on the subjects in three views. To assess the risk of falling, time up and go and functional reach tests were used. Then, with the Photoshop program, the measurements of each line and the markings of each subject were calculated with the formula for each index. The data were analyzed in the SPSS program, and the normality of the data was considered for the relationships between the variables according to the Pearson correlation coefficient at a significance level of 95% (P ≤ 0.05), which was used to evaluate the ability of the indicators to predict the risk of falling. Simple linear regression was used.
Results
Finally, the anterior and posterior trunk symmetry indices and body posture indices were significantly related to the fall risk, except for the anterior trunk symmetry index, which was significantly related to the time up and go test (P ≤ 0.05), and the ability to predict the risk of falling.
Conclusion
The results of the present study show that the presence of asymmetries and structural changes in the posture of the trunk in all three anterior, posterior and lateral views during aging causes disturbances in the balance system of people and increases the risk of falling.
Targeted Protest and Affective Polarization
Authors: Sato Yuko 
Published: March 2024

Abstract

Political protests increasingly play a critical role in shaping politics in democracies. What political consequences did the growing global protest cycle bring about within democratic countries with unrest? Drawing on social identity theory, I argue that protest events, which targeted specific parties or leaders, would serve as a focal event that enhances voters’ attachment to partisan identity. Targeted protests provide open information containing a specific political message about targeted candidates or parties to the public. Accordingly, exposure to protests may activate and reinforce pre-existing partisan identities and ultimately trigger affective polarization at the mass level. To examine this argument, I use cross-national survey data to test whether protests targeting ruling parties increased the level of mass polarization among 38 democracies between 1996 and 2021. The findings have implications for understanding the impact of protests on voting behavior and the process of polarization in democracies.
The Influence of Brief Papers on Clinical Decision-Making Skills among College Nursing Students in Tanzania
Authors: Mvandal Samson Peter 
Published: March 2024

Abstract
Clinical decision-making and critical thinking represent pivotal competencies essential for the progression of undergraduate nursing students. Within nursing education, clinical faculty, particularly those engaged in direct patient care instruction, play a vital role in fostering the cultivation of these skills. This study aimed identify the influence of brief paper on clinical decision making among college nursing students in Tanzania. While conventional assessment methods encompass lengthy case studies, concept mapping, and participation in discussion boards, the introduction of clinical short paper assignments offers a novel avenue to challenge students in refining their critical thinking and clinical decision-making proficiencies. Although no statistically significant variance was discerned in the perceived level of clinical decision-making pre- and post-implementation of short written assignments, there was an observable elevation in the overall mean score of clinical decision-making abilities subsequent to the integration of clinical short papers.
Intact Amazon forests hit a record low gross primary productivity level in 2023-2024
Authors: Meunier Felicien , Boeckx Pascal , Botía Santiago , Bauters Marijn , Cherlet Wout , Ciais Philippe , De Hertog Steven , Dietze Michael , Peaucelle Marc , Sibret Thomas , Sitch Stephen , Li Wei , Verbeeck Hans 
Published: March 2024

Abstract

In the Amazon, the dry season of 2023 as well as the beginning of the wet season in 2024 were marked by unprecedented high temperatures and large precipitation deficits. While the tropical forests in the Amazon play a crucial role in the global carbon cycle and are a biodiversity hotspot, they were also shown to suffer from El-Niño related droughts in the past, leading to legitimate concerns about the ecological consequences of the recent climate conditions. To this day, the tools that we have in hand to determine those ecological consequences have lagged behind the present due to the complexity to acquire and process new remote sensing data or run land surface models. In this study, we employed advanced machine learning models trained on state-of-the-art remote sensing and dynamic global vegetation model estimates of gross primary productivity (GPP). The models provide near real-time GPP estimates, revealing significant productivity reductions during the 2023/2024 drought, unmatched in at least the past 30 years. Negative GPP anomalies were more widespread across the Amazon than during any other recent major drought event. The Climate-GPP relationships that emerged from the models suggest that future temperature increases and changes in precipitation will severely challenge Amazon forest resilience.
Plotting the Major Proteins of Alaskapox Virus
Authors: Thomas Sunil 
Published: March 2024

Abstract
In an era marked by rapid environmental transformations, the viability of numerous species hinges crucially on their ability to navigate and adjust to shifting climatic conditions through migration. Yet, amidst this natural quest for survival, a consequential and often overlooked consequence emerges: the inadvertent transportation of a diverse array of parasites and pathogens across landscapes. This phenomenon poses a substantial and tangible threat to global health, particularly in the wake of recent outbreaks and pandemics fueled by zoonotic viruses, which leap from animals to humans. These viruses, originating in animals but capable of infecting humans, serve as poignant reminders of the intricate relationship between human and wildlife health, and the potential dangers of disregarding this delicate balance. In 2015, the Alaskapox virus (AKPV), classified as an Orthopoxvirus, was first identified in a woman living near Fairbanks, Alaska. The first recorded fatality attributed to AKPV infection occurred in January 2024. Current evidence suggests that AKPV primarily targets small mammals, particularly red-backed voles and shrews, as evidenced by sampling efforts in the Fairbanks North Star Borough. However, it is likely that the virus is more widespread among Alaska's small mammal populations, potentially leading to undiagnosed human infections. Additionally, domestic pets, such as cats and dogs, may also contribute to the transmission of the virus. To date, no instances of human-to-human transmission have been documented, but the lack of diagnostics and vaccines for AKPV remains a concerning gap. This paper aims to address this issue by reporting the structure and epitopes of the major proteins of AKPV. This data could serve as a foundation for the development of novel diagnostics and vaccines to combat AKPV, thereby mitigating its impact on both human and animal populations.
Rearticulating Islamic Feminism
Authors: Kabir Gedong Maulana 
Published: March 2024

This article explores the role and impact of the Indonesian Women Ulema Congress—Kongres Ulama Perempuan Indonesia (KUPI) in shaping the narrative of Islamic feminism and public policy regarding gender issues in Indonesia. This movement faces challenges from both cultural (patriarchal culture) and conservative religious views that reject the narrative of Islamic feminism. Nevertheless, the two occurrences of KUPI in 2017 and 2022 demonstrate that the impact of this movement is significant. This research uses content analysis methods to assess various types of publication material, including justice gender fatwas and official publications related to KUPI. The main research question is to what extent the theological and juridical approaches KUPI used in formulating gender fatwas influence public perceptions and policies in Indonesia. This article finds that the gender justice fatwa by KUPI not only impacts the social and cultural aspects but also shapes policy decisions, particularly in areas of anti-sexual violence, forced marriage, environmental, health, and religious violence. This article enriches the academic understanding of how Islamic feminism is articulated and implemented in a context with broad cultural and religious diversity and provides new insights into the dynamics of Islamic feminism at the global level through a contemporary case study in Indonesia.
A Novel Gene Signature based on Immune Cell Infiltration Landscape Predicts Prognosis in Lung Adenocarcinoma Patients
Authors: Ma Chao 
Published: March 2024

Background:
The tumor microenvironment (TME) is created by the tumor
and dominated by tumor-induced interactions. Long-term survival of lung adenocarcinoma
(LUAD) patients is strongly influenced by immune cell infiltration in TME. The current
article intends to construct a gene signature from LUAD ICI for predicting patient
outcomes.

Methods:
For the initial phase of the study, the TCGA-LUAD dataset was chosen as the
training group for dataset selection. We found two datasets named GSE72094 and
GSE68465 in the Gene Expression Omnibus (GEO) database for model validation. Unsupervised
clustering was performed on the training cohort patients using the ICI profiles.
We employed Kaplan-Meier estimators and univariate Cox proportional-hazard
models to identify prognostic differentially expressed genes in immune cell infiltration
(ICI) clusters. These prognostic genes are then used to develop a LASSO Cox model
that generates a prognostic gene signature. Validation was performed using Kaplan-Meier
estimation, Cox, and ROC analysis. Our signature and vital immune-relevant signatures
were analyzed. Finally, we performed gene set enrichment analysis (GSEA) and
immune infiltration analysis on our finding gene signature to further examine the functional
mechanisms and immune cellular interactions.

Results:
Our study found a sixteen-gene signature (EREG, HPGDS, TSPAN32, ACSM5,
SFTPD, SCN7A, CCR2, S100P, KLK12, MS4A1, INHA, HOXB9, CYP4B1,
SPOCK1, STAP1, and ACAP1) to be prognostic based on data from the training cohort.
This prognostic signature was certified by Kaplan-Meier, Cox proportional-hazards, and
ROC curves. 11/15 immune-relevant signatures were related to our signature. The
GSEA results indicated our gene signature strongly correlates with immune-related pathways.
Based on the immune infiltration analysis findings, it can be deduced that a significant
portion of the prognostic significance of the signature can be attributed to resting
mast cells.

Conclusions:
We used bioinformatics to determine a new, robust sixteen-gene signature.
We also found that this signature's prognostic ability was closely related to the resting
mast cell infiltration of LUAD patients.
The Relationship between Quantitative Parameters of Dual-energy CT and
HIF-1α Expression in Non-Small Cell Lung Cancer
Authors: Meng Xi-Wen , Pi Ya-Wen , Wang Guang-Li , Qi Shu-Na , Zhang Gui-Hui , Cheng Yu-Xia 
Published: March 2024

Objective::
This study aimed to investigate whether there is a correlation between quantitative parameters of dual-energy computed tomography (DECT) and
the relative expression of HIF-1α in patients with non-small cell lung cancer (NSCLC) to preliminarily explore the value of DECT in evaluating
the hypoxia of tumor microenvironment and tumor biological behavior and provide more information for the treatment of NSCLC.

Methods::
This retrospective research included 36 patients with pathologically confirmed NSCLC who underwent dual-energy enhanced CT scans. The
quantitative parameters of DECT were analyzed, including iodine concentration, water concentration, the CT values corresponding to 40keV,
70keV, 100keV, and 130keV in arterial and venous phases, and the normalized iodine concentration and the slope of the energy spectrum curve
were calculated. Postoperative specimens underwent HIF immunohistochemical staining by two pathologists. Spearman correlation analysis was
adopted as the statistical methodology. The data were analyzed by SPSS26.0 statistical software.

Results::
Water concentration (r=0.659, P<0.001 and r= 0.632, P<0.001, the CT values corresponding to 100keV (r=0.645, P<0.001 and r= 0.566, P<0.001)
and 130keV (r=0.687, P<0.001 and r= 0.682, P<0.001) in arterial and venous phases, and CT value of 70keV in arterial phase (r=0.457, P=0.005)
were positively correlated with HIF-1α expression level. There was no correlation among iodine concentration, standardized iodine concentration,
CT value of 40keV, λHU, and HIF-1α expression in arterial and venous levels (P >0.05).

Conclusion::
The quantitative parameters of DECT have a certain correlation with HIF-1α expression in NSCLC. Moreover, it has been demonstrated that
DECT can be used to predict hypoxia in tumor tissues and the prognosis of lung cancer patients.
Analysis of Suicide-related Tweets During the COVID-19 Pandemic
Authors: Balasooriya K.D.S. , Rupasingha R.A.H.M. , Kumara B.T.G.S. 
Published: March 2024

Background:
The COVID-19 virus started in 2019 and badly affected the different sectors
of many countries around the world. Based on this, financial difficulties, loss of loved ones, sudden
anger, relationships, family disputes, and psychological distress increased, and individuals were
stalled from carrying out their lifestyle in a normal way, and some individuals were even motivated
to commit suicide.

Objective:
It is important to reduce the number of suicides and identify the reasons for this situation.
Through this research, the focus is on identifying the main topics discussed relevant to suicides during
the COVID-19 pandemic.

Methods:
Individuals use Twitter, a social media platform, to share their ideas freely and publically.
We collected 9750 primary data through Twitter API (Application Programming Interface). After
preprocessing and feature extraction by TF-IDF (Term Frequency-Inverse Document Frequency), we
applied the LDA (Latent Dirichlet Allocation) and Probabilistic Latent Semantic Analysis (PLSA)
topic modeling algorithms to identify topics.

Results:
Based on the LDA results, we extracted ten different topics under the three themes, such as
the impact of COVID-19, human feelings, getting support, and having awareness. Intertopic Distance
Map, Most Salient Terms, and Word Clouds Visualization are used to check the results. The coherence
score and perplexing value are used to measure how interpretable the extracted topics are to
humans. PLSA also extracted 25 topics with their probabilities, and Kullback–Leibler (KL) divergence
was used to check the results.

Conclusion:
We were able to gain insight into human emotions and the main motivations behind
suicide attempts using the topics we extracted. Expert feedback proved that LDA results were better
than PLSA. Based on that, we found the main impact of COVID-19 on human lives, how human
feelings were changed positively and negatively during that period, what supporting and awareness
methods people used, and what they preferred. The required measures can then be taken by those
responsible authorities and individuals to prevent, reduce, and get ready for this kind of suicidal incident
in the future.
Rapport Building in Written Crisis Services: Qualitative Content Analysis
Authors: Schwab-Reese Laura , Short Caitlyn , Jacobs Larel , Fingerman Michelle 
Published: March 2024

Background
Building therapeutic relationships and social presence are challenging in digital services and maybe even more difficult in written services. Despite these difficulties, in-person care may not be feasible or accessible in all situations.

Objective
This study aims to categorize crisis counselors’ efforts to build rapport in written conversations by using deidentified conversation transcripts from the text and chat arms of the National Child Abuse Hotline. Using these categories, we identify the common characteristics of successful conversations. We defined success as conversations where help-seekers reported the hotline was a good way to seek help and that they were a lot more hopeful, a lot more informed, a lot more prepared to address the situation, and experiencing less stress, as reported by help-seekers.

Methods
The sample consisted of transcripts from 314 purposely selected conversations from of the 1153 text and chat conversations during July 2020. Hotline users answered a preconversation survey (ie, demographics) and a postconversation survey (ie, their perceptions of the conversation). We used qualitative content analysis to process the conversations.

Results
Active listening skills, including asking questions, paraphrasing, reflecting feelings, and interpreting situations, were commonly used by counselors. Validation, unconditional positive regard, and evaluation-based language, such as praise and apologies, were also often used. Compared with less successful conversations, successful conversations tended to include fewer statements that attend to the emotional dynamics. There were qualitative differences in how the counselors applied these approaches. Generally, crisis counselors in positive conversations tended to be more specific and tailor their comments to the situation.

Conclusions
Building therapeutic relationships and social presence are essential to digital interventions involving mental health professionals. Prior research demonstrates that they can be challenging to develop in written conversations. Our work demonstrates characteristics associated with successful conversations that could be adopted in other written help-seeking interventions.
Electronic Media Use and Sleep Quality: Updated Systematic Review and Meta-Analysis
Authors: Han Xiaoning , Zhou Enze , Liu Dong 
Published: March 2024

Background
This paper explores the widely discussed relationship between electronic media use and sleep quality, indicating negative effects due to various factors. However, existing meta-analyses on the topic have some limitations.

Objective
The study aims to analyze and compare the impacts of different digital media types, such as smartphones, online games, and social media, on sleep quality.

Methods
Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study performed a systematic meta-analysis of literature across multiple databases, including Web of Science, MEDLINE, PsycINFO, PubMed, Science Direct, Scopus, and Google Scholar, from January 2018 to October 2023. Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic media use and sleep quality across studies. The Comprehensive Meta-Analysis software (version 3.0) was used to perform the meta-analysis. Statistical methods such as funnel plots were used to assess the presence of asymmetry and a p-curve test to test the p-hacking problem, which can indicate publication bias.

Results
Following a thorough screening process, the study involved 55 papers (56 items) with 41,716 participants from over 20 countries, classifying electronic media use into “general use” and “problematic use.” The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant cultural difference was also observed in these effects. General use was associated with a significant decrease in sleep quality (P<.001). The pooled effect size was 0.28 (95% CI 0.21-0.35; k=20). Problematic use was associated with a significant increase in sleep problems (P≤.001). The pooled effect size was 0.33 (95% CI 0.28-0.38; k=36). The subgroup analysis indicated that the effect of general smartphone use and sleep problems was r=0.33 (95% CI 0.27-0.40), which was the highest among the general group. The effect of problematic internet use and sleep problems was r=0.51 (95% CI 0.43-0.59), which was the highest among the problematic groups. There were significant differences among these subgroups (general: Qbetween=14.46, P=.001; problematic: Qbetween=27.37, P<.001). The results of the meta-regression analysis using age, gender, and culture as moderators indicated that only cultural difference in the relationship between Eastern and Western culture was significant (Qbetween=6.69; P=.01). All funnel plots and p-curve analyses showed no evidence of publication and selection bias.

Conclusions
Despite some variability, the study overall confirms the correlation between increased electronic media use and poorer sleep outcomes, which is notably more significant in Eastern cultures.
Perlindungan Hukum dan Peningkatan Kualitas Pekerja Tenun Kain Endek/Songket di Desa Gelgel Kabupaten Klungkung
Authors: Styawati Ni Komang Arini , Mardika I Made , Widiati Ida Ayu Putu 
Published: March 2024

Desa Gelgel merupakan salah satu desa yang ada di wilayah Kecamatan Klungkung, Kabupaten Klungkung, Provinsi Bali. Desa Gelgel terkenal dengan produksi kain tenun khas Bali yaitu kain songket dan endek. Kain songket/endek merupakan salah satu ciri produk kebudayaan masyarakat Bali. Dulu kain endek/songket Bali sangat terkenal, bukan hanya diminati oleh wisatawan domestik, akan tetapi juga diminati oleh wisatawan mancanegara. Namun dalam perkembangannya kain endek mengalami penurunan, hal ini dapat dilihat dari produksi kain tenun songket/endek yang semakin menurun, sebagai akibat dari adanya persaingan dengan kain sejenis yang diproduksi dengan pabrik yang masuk kepasaran. Adapun kendala yang dihadapi Mitra adalah adanya persaingan kain tenun endek/songket pabrikan dengan harga yang lebih murah. Mitra juga mengalami kendala dalam proses produksi kain songket/endek yaitu terkendala dengan terbatasnya pekerja sebagai pembuat pola/desain. Perkembangan produksi kain songket/endek juga mengalami penurunan yang sangat drastis dengan adanya pandemi Covid-19 hal ini berimbas pada produksi kain tenun songket/endek serta berdampak pula pada nasib pekerja tenun di Desa Gelgel, Kabupaten Klungkung. Oleh karena itu. PKM ini berupaya memberdayakan kelompok penenun yaitu dalam bentuk perlindungan hukum dan peningkatan produksi kain songket/endek di Desa Gelgel, Klungkung.