bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of surveillance systems for suicide and self-harm: A scoping review
Authors: Silva Aline Conceição , Vanzela Amanda Sarah , Pedrollo Laysa Fernanda Silva , Baker John , de Carvalho José Carlos Marques , Sequeira Carlos Alberto da Cruz , Vedana Kelly Graziani Giacchero , Santos José Carlos Pereira dos 
Published: July 2024

Background
Suicide is a complex public health issue. Surveillance systems play a vital role in identifying trends and epidemiologic needs, informing public health strategies, and tailoring effective context-based suicide prevention interventions.

Aim
To identify and summarise the characteristics of specific surveillance systems and general health behaviour that include data onsuicide and self-harm.

Method
A scoping review following the JBI recommendations and PRISMA-ScR guidelines identified 29 relevant studies on suicide and self-harm surveillance systems. A systematic search was performed on Cinahl, Embase, Lilacs—Latin American and Caribbean Health Sciences Literature, PubMed—US National Library of Medicine, Scopus, and Google Scholar. The eligibility criteria include papers that use qualitative, quantitative or mixed methods with no restrictions on time or language. The following papers were excluded regarding euthanasia and assisted suicide, as well as papers that did not explicitly describe suicide, self-harm, and surveillance systems. Two researchers independently screened the materials for eligibility and extracted data from the included studies. Data analysis was conducted using content analysis.

Results
Twenty-nine references were included, and 30 surveillance systems were identified and classified into general health behaviour surveillance (n = 15) and specific systems for suicide and self-harm (n = 15). General health behaviour systems often operate at national data collection level, collecting non-fatal data in healthcare settings, mainly emergency departments. The specific systems exhibited greater variability in terms of context, involved actors, data collection level, data collection procedures, and case classification. Limitations found by the studies pointed mostly to case definitions and data quality. Co-production, intersectoral collaboration, clear case definition criteria and data standardisation are essential to improve surveillance systems for suicide and self-harm.

Conclusions
This review identified the characteristics of surveillance systems for suicide and self-harm. Monitoring and evaluation are crucial for ongoing relevance and impact on prevention efforts.
Do all sedatives promote biological sleep electroencephalogram patterns? A machine learning framework to identify biological sleep promoting sedatives using electroencephalogram
Authors: Ramaswamy Sowmya M. , Kuizenga Merel H. , Weerink Maud A. S. , Vereecke Hugo E. M. , Nagaraj Sunil B. , Struys Michel M. R. F. 
Published: July 2024

Background
Sedatives are commonly used to promote sleep in intensive care unit patients. However, it is not clear whether sedation-induced states are similar to the biological sleep. We explored if sedative-induced states resemble biological sleep using multichannel electroencephalogram (EEG) recordings.

Methods
Multichannel EEG datasets from two different sources were used in this study: (1) sedation dataset consisting of 102 healthy volunteers receiving propofol (N = 36), sevoflurane (N = 36), or dexmedetomidine (N = 30), and (2) publicly available sleep EEG dataset (N = 994). Forty-four quantitative time, frequency and entropy features were extracted from EEG recordings and were used to train the machine learning algorithms on sleep dataset to predict sleep stages in the sedation dataset. The predicted sleep states were then compared with the Modified Observer’s Assessment of Alertness/ Sedation (MOAA/S) scores.

Results
The performance of the model was poor (AUC = 0.55–0.58) in differentiating sleep stages during propofol and sevoflurane sedation. In the case of dexmedetomidine, the AUC of the model increased in a sedation—dependent manner with NREM stages 2 and 3 highly correlating with deep sedation state reaching an AUC of 0.80.

Conclusions
We addressed an important clinical question to identify biological sleep promoting sedatives using EEG signals. We demonstrate that propofol and sevoflurane do not promote EEG patterns resembling natural sleep while dexmedetomidine promotes states resembling NREM stages 2 and 3 sleep, based on current sleep staging standards.
The impact of Astragaloside IV on the inflammatory response and gut microbiota in cases of acute lung injury is examined through the utilization of the PI3K/AKT/mTOR pathway
Authors: Luo Cheng , Ye Yuanhang , Lv Anqi , Zuo Wanzhao , Yang Yi , Jiang Cheng , Ke Jia 
Published: July 2024

Objectives
Astragaloside IV (AS-IV) is a natural triterpenoid saponin compound with a variety of pharmacological effects, and several studies have clarified its anti-inflammatory effects, which may make it an effective alternative treatment against inflammation. In the study, we aimed to investigate whether AS-IV could attenuate the inflammatory response to acute lung injury and its mechanisms.

Methods
Different doses of AS-IV (20mg·kg-1, 40mg·kg-1, and 80mg·kg-1) were administered to the ALI rat model, followed by collection of serum and broncho alveolar lavage fluid (BALF) for examination of the inflammatory response, and HE staining of the lung and colon tissues, and interpretation of the potential molecular mechanisms by quantitative real-time PCR (qRT-PCR), Western blotting (WB). In addition, fecal samples from ALI rats were collected and analyzed by 16S rRNA sequencing.

Results
AS-IV decreased the levels of TNF-α, IL-6, and IL-1β in serum and BALF of mice with Acute lung injury (ALI). Lung and colon histopathology confirmed that AS-IV alleviated inflammatory infiltration, tissue edema, and structural changes. qRT-PCR and WB showed that AS-IV mainly improved inflammation by inhibiting the expression of PI3K, AKT and mTOR mRNA, and improved the disorder of intestinal microflora by increasing the number of beneficial bacteria and reducing the number of harmful bacteria.

Conclusion
AS-IV reduces the expression of inflammatory factors by inhibiting the PI3K/AKT/mTOR pathway and optimizes the composition of the gut microflora in AIL rats.
Mild hypothermia pretreatment improves hepatic ischemia-reperfusion injury: A systematic review and meta-analysis of animal experiments
Authors: Wei Li-juan , Wei Ke , Lu Shu-yu , Wang Min , Chen Chun-xi , Huang Hui-qiao , Pan Xiao , Tao Pin-yue 
Published: July 2024

Background and aim
Mild hypothermia in hepatic ischemia-reperfusion injury is increasingly being studied. This study aimed to conduct a systematic evaluation of the effectiveness of mild hypothermia in improving hepatic ischemia-reperfusion injury.

Methods
We systematically searched CNKI, WanFang Data, PubMed, Embase, and Web of Science for original studies that used animal experiments to determine how mild hypothermia(32–34°C) pretreatment improves hepatic ischemia-reperfusion injury(in situ 70% liver IR model). The search period ranged from the inception of the databases to May 5, 2023. Two researchers independently filtered the literature, extracted the data, and assessed the risk of bias incorporated into the study. The meta-analysis was performed using RevMan 5.4.1 and Stata 15 software.

Results
Eight randomized controlled trials (RCTs) involving a total of 117 rats/mice were included. The results showed that the ALT levels in the mild hypothermia pretreatment group were significantly lower than those in the normothermic control group [Standardized Mean Difference (SMD) = -5.94, 95% CI(-8.09, -3.78), P<0.001], and AST levels in the mild hypothermia pretreatment group were significantly lower than those in the normothermic control group [SMD = -4.45, 95% CI (-6.10, -2.78), P<0.001]. The hepatocyte apoptosis rate in the mild hypothermia pretreatment group was significantly lower than that in the normothermic control group [SMD = -6.86, 95% CI (-10.38, -3.33), P<0.001]. Hepatocyte pathology score in the mild hypothermia pretreatment group was significantly lower than that in the normothermic control group [SMD = -4.36, 95% CI (-5.78, -2.95), P<0.001]. There was no significant difference in MPO levels between the mild hypothermia preconditioning group and the normothermic control group [SMD = -4.83, 95% CI (-11.26, 1.60), P = 0.14]. SOD levels in the mild hypothermia preconditioning group were significantly higher than those in the normothermic control group [SMD = 3.21, 95% CI (1.27, 5.14), P = 0.001]. MDA levels in the mild hypothermia pretreatment group were significantly lower than those in the normothermic control group [SMD = -4.06, 95% CI (-7.06, -1.07) P = 0.008].

Conclusion
Mild hypothermia can attenuate hepatic ischemia-reperfusion injury, effectively reduce oxidative stress and inflammatory response, prevent hepatocyte apoptosis, and protect liver function.
Prevalence of major depressive disorder and its determinants among young married women and unmarried girls: Findings from the second round of UDAYA survey
Authors: Dhara Shromona , Thakur Joyeeta , Pandey Neelanjana , Mozumdar Arupendra , Roy Subho 
Published: July 2024

Introduction
Depression is a prevalent and debilitating mental illness affecting young women worldwide. This study aimed to identify psychosocial determinants of major depressive disorder (MDD) among young women in Bihar and Uttar Pradesh, India.

Methods
Data from "Understanding the Lives of Adolescents and Young Adults" (UDAYA) study (2018-19) for young women aged 12-23 years, both married and unmarried was used for this paper. MDD was evaluated using the Patient Health Questionnaire PHQ-9 with a cut-off score of ≤10. The determinants of MDD were identified through multilevel binary logistic regression analysis.

Results
The prevalence of MDD was 13.6% (95% CL 12.2-15.2) and 5.1% (95% CL 4.2-6.1) for young married women and unmarried girls, respectively. Among the young married women, community-level variables like dowry-related humiliation (1.74, 95% CI 1.15-2.64), and sexual assaults (2.15, 95% CI 1.24-3.73) were significantly associated with MDD. For unmarried girls, reporting of family violence <10% of participants (0.45, 95% CI 0.24-0.85), family violence (≥10% of participants) % (0.35 95% CI 0.19-0.68) and interpartner violence (>25% of participants) (0.42; 95% CI 0.23-0.74) remain significant predictors of MDD. At individual level, for both the groups, age, participation in decision making (on education), social capital (currently attending school/educational course and number of friends), self-efficacy, telephonic harassment, and physical activity were associated with MDD. Wealth index, job seeking, participation in decision making (on health-seeking), parental interactions and physical abuse (for unmarried girls only) and education, reported last sexual intercourse, pressure from the in-laws’ to conceive (for young married women only) were associated with MDD.

Conclusions
For young married women, community level targeted interventions should focus on the social ecology to foster a sense of safe community environment. For unmarried girls, additionally, interventions should aim to optimize their family environment for effective mental health outcomes.
Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia
Authors: Huang Alexander A. , Huang Samuel Y. 
Published: July 2024

Importance
Sleep is critical to a person’s physical and mental health and there is a need to create high performing machine learning models and critically understand how models rank covariates.

Objective
The study aimed to compare how different model metrics rank the importance of various covariates.

Design, setting, and participants
A cross-sectional cohort study was conducted retrospectively using the National Health and Nutrition Examination Survey (NHANES), which is publicly available.

Methods
This study employed univariate logistic models to filter out strong, independent covariates associated with sleep disorder outcome, which were then used in machine-learning models, of which, the most optimal was chosen. The machine-learning model was used to rank model covariates based on gain, cover, and frequency to identify risk factors for sleep disorder and feature importance was evaluated using both univariable and multivariable t-statistics. A correlation matrix was created to determine the similarity of the importance of variables ranked by different model metrics.

Results
The XGBoost model had the highest mean AUROC of 0.865 (SD = 0.010) with Accuracy of 0.762 (SD = 0.019), F1 of 0.875 (SD = 0.766), Sensitivity of 0.768 (SD = 0.023), Specificity of 0.782 (SD = 0.025), Positive Predictive Value of 0.806 (SD = 0.025), and Negative Predictive Value of 0.737 (SD = 0.034). The model metrics from the machine learning of gain and cover were strongly positively correlated with one another (r > 0.70). Model metrics from the multivariable model and univariable model were weakly negatively correlated with machine learning model metrics (R between -0.3 and 0).

Conclusion
The ranking of important variables associated with sleep disorder in this cohort from the machine learning models were not related to those from regression models.
La presencia de empresas chinas en el sector argentino del litio: implicaciones para el desarrollo económico y la inserción internacional en el escenario geopolítico y geoeconómico actual
Authors: González Jáuregui Juliana 
Published: July 2024

La estrategia de transición energética de China está teniendo consecuencias para los países que conforman el denominado Sur Global. Dada su riqueza en minerales críticos, las naciones latinoamericanas se han convertido en importantes proveedoras de China e importantes destinos de las inversiones de sus empresas. Estas transiciones tienen lugar en un contexto de aumento de la competencia global entre las empresas chinas y otras empresas líderes por lograr el acceso y control de dichos materiales, colocando a los países de la región en un escenario de ambiciones contrapuestas. Argentina es un buen ejemplo de estas tendencias.
Este trabajo analiza las inversiones de empresas chinas en el sector argentino del litio, centrándose en las implicancias para el desarrollo económico y la inserción internacional de Argentina. A partir de los aportes del estructuralismo latinoamericano, pero también de nuevos enfoques que recuperan la centralidad del Estado para impulsar el proceso de industrialización, el artículo discute los desafíos que enfrentan países periféricos como Argentina para alcanzar el desarrollo dentro de la estructura global de relaciones centro-periferia.
Para ello, construimos un estudio de caso basado en datos originales. En primer lugar, el análisis identifica las características distintivas de los intereses y estrategias de las empresas chinas que operan en Argentina. Posteriormente, abordamos los factores internos y globales que limitan las posibilidades de Argentina de avanzar hacia actividades de mayor valor agregado a nivel local. En las conclusiones, resumimos los desafíos que enfrenta el país en materia de industrialización del litio y el rol que pueden jugar las empresas chinas y extranjeras para contribuir a la construcción de esas capacidades.
Predictive noise annoyance and noise-induced health effects models for road traffic noise in NCT of Delhi, India
Authors: Chauhan Bhagwat Singh , Garg Naveen , Tiwari Shashikant 
Published: July 2024

Abstract
The present study analyzed the effect of noise annoyance due to road traffic based on a comprehensive socio-acoustics survey at a large number of sites in the NCT of Delhi. This study presents the development of exposure–effect relationships and noise annoyance models using the Structural Equation Modeling (SEM) approach. The study assesses the traffic noise annoyance caused by road traffic at various sites in NCT of Delhi, India. Exposure–effect relationships correlate the noise annoyance and traffic noise levels. The Structural Equation Model depicts the relationship between noise annoyance and various psychological factors. The effect of noise annoyance and awareness level was determined using a socio-acoustic questionnaire survey among the community of NCT of Delhi. The various parameters undertaken were demographic, honking, health impacts, and psychological perception. The developed PLS (Partial Least Square)–SEM model predicted that noise sensitivity and road traffic noise remarkably affected the noise-induced annoyance.
Magnetic properties of the solid solutions CePt1−x
Au
x
Al (x = 0.1–0.9)
Authors: Renner Konstantin , Eustermann Fabian , Niehaus Oliver , Janka Oliver 
Published: July 2024

Abstract
Members of the solid solutions CePt1–x
Au
x
Al have been synthesized from the elements and pure samples could be obtained for the whole range of x from 0.1–0.9. Powder X-ray diffraction patterns indicated the TiNiSi-type structure (orthorhombic, space group Pnma) for the whole series, consistent with the end members CePtAl and CeAuAl. The lattice parameters and therefore also the unit cell volumes evolve in a linear fashion when going from CePtAl to CeAuAl. Magnetic susceptibility and magnetization investigations were performed for the compounds with x = 0.1, 0.2, 0.3, 0.5, 0.7 and 0.9. The results show that the ferromagnetic ground state of CePtAl gets destabilized for small degrees of substitution (x = 0.1) resulting in a lower Curie temperature. For larger values of x, changes towards an antiferromagnetic ground state are observed, in line with pure CeAuAl.
KUNJUNGAN ANTENATAL IBU HAMIL PADA MASA PANDEMI COVID-19
Authors: Putri Zinedine Avien Ryanar 
Published: July 2024

Abstrak
Puskesmas Duren mempunyai cakupan K4 terendah di Kabupaten Semarang tahun 2019 sebesar 73,6%. Terjadi kenaikan cakupan K4 menjadi 94,9% tahun 2020. Pada tahun 2021, terjadi penurunan cakupan K4 menjadi 86,2% dan belum mencapai target nasional yaitu 95%. Tujuan penelitian ini untuk mengetahui faktor-faktor yang berhubungan dengan kunjungan antenatal ibu hamil pada masa pandemi COVID-19 (Januari-Februari 2022) di wilayah kerja Puskesmas Duren. Jenis penelitian ini adalah observasional analitik melalui pendekatan cross sectional. Sampel penelitian sejumlah 64 ibu hamil trimester III yang melakukan kunjungan antenatal pada masa pandemi COVID-19 dengan teknik pengambilan sampel secara purposive sampling. Instrumen penelitian menggunakan kuesioner. Data dianalisis menggunakan uji Chi-Square dan Fisher. Hasil penelitian menunjukkan ada hubungan antara paritas (p=0,025), status pekerjaan (p=0,41), tingkat pengetahuan (p=0,01), sikap (p=0,035), keterjangkauan fasilitas kesehatan (p=0,018), pemanfaatan media informasi (p<0,01), dukungan petugas kesehatan (p=0,002), tingkat kecemasan sedang vs tidak ada kecemasan (p=0,031), dan tingkat kecemasan ringan vs tidak ada kecemasan (p=0,021), serta tidak ada hubungan antara umur (p=0,737), tingkat pendidikan (p=0,412), dan dukungan suami (p=1) dengan kunjungan antenatal ibu hamil pada masa pandemi COVID-19 di wilayah kerja Puskesmas Duren.
Abstract
Puskesmas Duren has the lowest K4 coverage in Semarang Regency in 2019 of 73.6%. An increase in K4 coverage to 94.9% in 2020. In 2021, there was a decrease in K4 coverage to 86.2% and had not yet reached the national target of 95%. The purpose of this study was to determine the factors related to the antenatal visits of pregnant women during the Covid-19 Pandemic (January-February 2022) in the working area of ​​the Puskesmas Duren. This type of research is analytical observational through a cross sectional approach. The sample of this study was 64 third trimester pregnant women who made antenatal visits during the COVID-19 pandemic with purposive sampling technique. Research instruments using a questionnaire. Data were analyzed using the Chi-Square and Fisher test.The results showed that there was a relationship between parity (p=0,025), mother's employment status (p=0.41), mother's level of knowledge (p =0,01), mother's attitude (p=0,035), affordability of health facilities (p=0,018 ), the use of information media (p<0,01), support from health workers (p=0,002), moderate anxiety level vs no anxiety (p=0,031), and mild anxiety level vs no anxiety (p=0,021), and There was no relationship between maternal age (p=0,737), mother's education level (p=0.412), and husband's support (p=1) with antenatal visits for pregnant women during the COVID-19 pandemic in Puskesmas Duren, Semarang Regency.
Hipertensi pada Penduduk Usia Produktif (15-59 Tahun) di Wilayah Kerja Puskesmas Pageruyung Kabupaten Kendal
Authors: Hintari Sri , Fibriana Arulita Ika 
Published: July 2024

Abstrak
Hipertensi merupakan penyakit tidak menular yang umum terjadi, bersifat kronis, dan penyebab utama kematian dunia. Prevalensi nasional hipertensi tahun 2018 pada penduduk usia produktif kelompok umur 18-24 tahun (13,2%), 25-34 tahun (20,1%), 35-44 tahun (31,6%), 45-54 tahun (45,3%), dan 55-64 tahun (55,2%). Prevalensi hipertensi di Kabupaten Kendal selalu mengalami peningkatan dari tahun ke tahun. Kasus hipertensi di Puskesmas Pageruyung tahun 2021 sebanyak 23.638 kasus. Tujuan penelitian ini untuk mengetahui faktor risiko hipertensi penduduk usia produktif (15-59 tahun) di wilayah kerja Puskesmas Pageruyung. Jenis penelitian ini merupakan penelitian kuantitatif dengan desain studi cross sectional. Sumber data penelitian menggunakan data sekunder Posbindu PTM tahun 2022 bulan Januari-Agustus. Sampel penelitian sebanyak 140, diambil dengan teknik simple random sampling. Data dianalisis menggunakan aplikasi SPSS dengan uji chi-square, uji fishers exact, dan regresi logistik. Hasil penelitian menunjukkan bahwa ada hubungan antara riwayat keluarga (p<0,01), aktivitas fisik (p<0,01), konsumsi sayur dan buah (p<0,01), obesitas tingkat 1 (p<0,01), dan gemuk (p=0,01) dengan kejadian hipertensi. Variabel yang berpengaruh paling kuat menduga kejadian hipertensi adalah konsumsi sayur dan buah.
Kata Kunci : Hipertensi, usia produktif 15-59 tahun, faktor risiko

Abstract
Hypertension is a frequently non-communicable disease, chronic, and the major cause of death worldwide. In 2018, the national prevalence of hypertension in the productive-age population was aged 18-24 years (13.2%), 25-34 years (20.1%), 35-44 years (31.6%), 45-54 years (45 .3%), and 55-64 years (55.2%). The prevalence of hypertension in Kendal Regency has always increased annually. There were 23,638 cases of hypertension at the Pageruyung Health Center in 2021. The purpose of this study is to determine the risk factors for productive age population (15-59 years) in the working area of ​​the Pageruyung Health Center. This type of research is a quantitative research with cross-sectional study design. The research data source uses the secondary data of Posbindu PTM in 2022 from January to August. There were 140 research samples, taken by simple random sampling technique. Data were analyzed using the SPSS application with chi-square test, fishers exact test, and logistics regression. The results showed that there was a relationship between family history (p<0.01), physical activity (p<0.01), consumption of vegetables and fruit (p<0.01), class 1 obesity (p<0.01), and fat (p=0.01) with the incidence of hypertension. In summary, the variable that has the most powerful influence on the incidence of hypertension is the consumption of vegetables and fruit.
Keywords: Hypertension, productive age 15-59 years, risk factors