bluuebunny/crossref_metadata_2025_split huggingface dataset:
CUIDADOS CORPORAIS AOS RECÉM-NASCIDOS DE MÃES ANGOLANAS
Authors: Tavares Elsy , Ramos Natália 
Published: February 2024

O período neonatal é crítico na vida de uma criança, devido à sua maior vulnerabilidade e ao maior risco de morte, sendo os cuidados realizados ao recém-nascido revestidos da maior importância e com reflexos na sua saúde futura. A cultura, os mitos e as crenças revelam-se num conjunto de saberes tradicionais que muitas vezes prevalecem sobre os conhecimentos científicos, dando origem a práticas de cuidados com o corpo não recomendadas pela OMS e com consequências negativas para a saúde, como exemplo o cuidado com o coto umbilical do recém-nascido, que muitas vezes resulta em onfalite. Analisou-se saberes e práticas de mães angolanas relativamente aos cuidados corporais com o recém-nascido, em particular com o coto umbilical, através de um estudo descritivo, exploratório, comparativo e transversal, com metodologia de cariz qualitativa, cuja amostra é não probabilística por conveniência. Verificou-se que os saberes e as práticas de mães angolanas quanto aos cuidados corporais com o recém-nascido, principalmente com o coto umbilical, derivam da componente empírica, transmitida maioritariamente pela família através das gerações, sobretudo pelas avós do recém-nascido, e da componente científica, através dos profissionais de saúde. Observou-se que as mães com experiência migratória revelam alguns comportamentos distintos das mães naturais de Luanda, nomeadamente ao mencionarem com mais frequência o álcool como conhecimento prévio, sendo no entanto as mães naturais de Luanda as que mais o utilizam de forma isolada como prática nos cuidados ao coto umbilical.
Cuidados corporais aos recém-nascidos; Coto umbilical; Corpo, saúde e cultura; Mães angolanas; Interculturalidade e saúde; Migração Interna.
Prognosis and Clinical Significance of Piezo2 in Tumor: A Meta-analysis and Database Validation
Authors: Liang Tong , Wang Junhong , Zhu Chenglou , Hu Yongli , Gao Zhenhua , Da Mingxu 
Published: February 2024

Objective:
The objective of this study is to assess the correlation between Piezo2 and
tumors through a comprehensive meta-analysis and database validation.

Methods:
Case-control studies investigating the association between Piezo2 and tumors were
obtained from various databases, including China National Knowledge Infrastructure (CNKI),
SinoMed, Embase, Web of Science, The Cochrane Library, and PubMed. The search was performed
from the inception of each database up until May 2023. Two researchers independently
screened the literature, extracted data, and assessed the quality of the included studies. Metaanalysis
of the included literature was conducted using Stata 12.0 software. Additionally, the
Gene Expression Profiling Interactive Analysis (GEPIA) database predicted a correlation between
Piezo2 expression and prognostic value in tumor patients.

Results:
A total of three studies, involving a combined sample size of 392 participants, were included
in the meta-analysis. The findings revealed that the expression level of Piezo2 in tumor
patients was not significantly associated with age, gender, or tumor size. However, it was found
to be positively correlated with lymphatic invasion (OR = 7.89, 95%CI: 3.96-15.73) and negatively
correlated with invasion depth (OR = 0.17, 95%CI: 0.06-0.47), TNM stage (OR = 0.48,
95%CI: 0.27-0.87), and histological grade (OR = 0.40, 95%CI: 0.21-0.77). Confirming these
findings, the GEPIA database indicated that high expression of Piezo2 was associated with poor
prognosis of disease-free survival in patients with colon adenocarcinoma (HR = 1.6, P = 0.049)
and gastric cancer (HR = 1.6, P = 0.017).

Conclusion:
Piezo2 may be associated with poor prognosis and clinicopathological parameters
in tumor patients.
Explore on the Mechanism of miRNA-146a/TAB1 in the Regulation of Cellular Apoptosis and Inflammation in Ulcerative Colitis Based on NF-κB Pathway
Authors: Xia Xiaoying , Yang Qian , Han Xue , Du Yulin , Guo Shujun , Hua Mengqing , Fang Fang , Ma Zhigang , Ma Hua , Yuan Hui , Tian Wenjing , Ding Zebang , Duan Yanan , Huo Qi , Li Yao 
Published: February 2024

Objective:
Ulcerative colitis (UC) is a chronic non-specific inflammatory
disease of the rectum and colon with unknown etiology. A growing number of evidence
suggest that the pathogenesis of UC is related to excessive apoptosis and production
of inflammatory cytokines. However, the functions and molecular mechanisms
associated with UC remain unclear.

Materials and Methods:
The in vivo and in vitro models of UC were established in this
study. MiRNA or gene expression was measured by qRT-PCR assay. ELISA, CCK-8,
TUNEL, and flow cytometry assays were applied for analyzing cellular functions. The
interactions between miR-146a and TAB1 were verified by luciferase reporter and
miRNA pull-down assays.

Results:
MiR-146a was obviously increased in UC patients, DSS-induced colitis mice,
and TNF-ɑ-induced YAMC cells, when compared to the corresponding controls. MiR-
146a knockdown inhibited the inflammatory response and apoptosis in DSS-induced
colitis mice and TNF-ɑ-induced YAMC cells. Mechanistically, we found that TAB1 was
the target of miR-146a and miR-146a knockdown suppressed the activation of NF-κB
pathway in UC. More importantly, TAB1 could overturn the inhibitory effect of
antagomiR-146a on cell apoptosis and inflammation in UC.

Conclusion:
MiR-146a knockdown inhibited cell apoptosis and inflammation via
targeting TAB1 and suppressing NF-κB pathway, suggesting that miR-146a may be a
new therapeutic target for UC treatment
Targeting Ubiquitin-specific Protease 5 Overcomes Chemoresistance via Negatively Regulating p53 in Gastric Cancer
Authors: Song Jing , Liu Lei , Wang Fang , Bao Di 
Published: February 2024

Background:
Resistance to chemotherapy is a major obstacle in the
clinical management of gastric cancer, and the mechanisms underlying
chemoresistance remain largely unknown.

Aims:
This study aimed to investigate the involvement of ubiquitin-specific protease 5
(USP5), a deubiquitinating enzyme, in gastric cancer chemoresistance

Methods:
USP5 expression was analyzed in fifty paired gastric cancer and adjacent
normal tissues, chemo-sensitive and chemo-resistant gastric cancer lines using
quantitative ELISA. The role of USP5 was determined using loss-of-function and gainof-
function methods. USP5-mediated downstream effectors were analyzed using
biochemical methods focusing on p53.

Results:
USP5 expression was comparable in tumors and normal in the majority of
the cohort. Following chemotherapy treatment, USP5 expression significantly
increased in gastric cancer cells, while p53 levels remained unaltered. Overexpression
of USP5 amplified growth and migration while decreasing apoptosis induced by serum
withdrawal across multiple gastric cancer cell lines. Conversely, USP5 knockdown
effectively heightened gastric cancer sensitivity to paclitaxel and 5-FU treatments,
particularly targeting chemo-resistant gastric cancer cells by inhibiting proliferation and
migration and inducing apoptosis. Additionally, USP5 knockdown increased levels of
p53 but not MDM2, increased p53 activity and increased transcription of p53 target
genes. In contrast, USP5 overexpression decreased the level and activity of p53 and
inhibited transcription of p53 target genes. The anti-proliferative, anti-migratory, and
pro-apoptotic effects of USP5 were significantly diminished upon p53 depletion,
highlighting the interplay between p53 and USP5 in regulating gastric cancer cell
activities. Additionally, USP5 inhibition suppressed chemo-resistant gastric cancer cell
migration via suppressing epithelial-mesenchymal transition (EMT) and RhoA activity.

Conclusion:
Targeting USP5 inhibition has emerged as a promising alternative
therapeutic approach to overcoming chemoresistance in gastric cancer. Additionally,
our study sheds light on the novel role of USP5 as a regulator of p53 in gastric cancer.
Metformin Inhibits NLRP3 Inflammasome Expression and Regulates Inflammatory Microenvironment to Delay the Progression of Colorectal Cancer
Authors: Liu Gaojie , Wang Feixiang , Feng Yanlin , Tang Hongsheng 
Published: February 2024

Background:
Colorectal cancer is a common malignant tumor, with about one million
people diagnosed with it worldwide each year. Recent studies have found that metformin can inhibit
the production of inflammatory factors and regulate the polarization of immune cells. However,
whether metformin can regulate the inflammatory microenvironment and delay the progression
of colorectal cancer by inhibiting the inflammatory response has not been deeply studied yet

Objective:
This study aimed to explore the molecular mechanism by which metformin inhibits
the expression of NLRP3 inflammasome, regulates the inflammatory microenvironment, and delays
the progression of colorectal cancer through in vitro cell experiments.

Methods:
In this research, NLRP3 was knocked down in human colorectal cancer cells, and metformin
was added to them. Cell proliferation ability was detected by CCK8, and cell migration
and invasion abilities were assessed by Transwell assay. The apoptosis rate was determined by
flow cytometry. In addition, the expression of NLRP3 inflammatory vesicles and inflammatory
factors in each group of cells was studied by qRT-PCR and Western blotting. Finally, clinical colorectal
cancer samples were analyzed by immunohistochemistry.

Results:
The results of the study showed that NLRP3 expression was significantly increased in colorectal
cancer cell lines and human colorectal cancer tissues. Knockdown of NLRP3 significantly
inhibited tumor cell proliferation, migration, and invasion. In addition, the proliferation, migration
and invasion of tumor cells were also significantly reduced by the addition of metformin intervention.
Furthermore, qRT-PCR and WB results demonstrated that the expression of IL-1β, IL-6, TNF-
α, TGF-β, and IL-10 was down-regulated in LS1034 tumor cells after NLRP3 knockdown. In addition,
metformin intervention also resulted in different degrees of downregulation of NLRP3 and
inflammatory factor expression (p <0.05). Notably, the reduction in inflammatory factors was
more pronounced after the combination of NLRP3 knockdown and metformin intervention.

Conclusion:
Metformin can inhibit the expression of NLRP3 inflammasome, thereby suppressing
the expression of inflammation-related factors, reducing the damage of the inflammatory microenvironment
to normal cells, and delaying the progression of colorectal cancer.
Indirubin, an Active Component of Indigo Naturalis, Exhibits Inhibitory Effects on
Leukemia Cells via Targeting HSP90AA1 and PI3K/Akt Pathway
Authors: Yao Yuanzhi , Li Xiaoying , Yang Xiaoqin , Mou Hai , Wei Lin 
Published: February 2024

Background::
This research intended to predict the active ingredients and key target genes of Indigo
Naturalis in treating human chronic myeloid leukemia (CML) using network pharmacology and conduct the invitro
verification.

Methods::
The active components of Indigo Naturalis and the corresponding targets and leukemia-associated
genes were gathered through public databases. The core targets and pathways of Indigo Naturalis were predicted
through protein-protein interaction (PPI) network, gene ontology (GO) function, and Kyoto Encyclopedia of
Genes and Genomes (KEGG) pathway enrichment analyses. Next, after intersecting with leukemia-related genes,
the direct core target gene of Indigo Naturalis active components was identified. Subsequently, HL-60 cells were
stimulated with indirubin (IND) and then examined for cell proliferation using CCK-8 assay and cell cycle, cell
apoptosis, and mitochondrial membrane potential using flow cytometry. The content of apoptosis-associated
proteins (Cleaved Caspase 9, Cleaved Caspase 7, Cleaved Caspase 3, and Cleaved parp) were detected using
Western blot, HSP90AA1 protein, and PI3K/Akt signaling (PI3K, p-PI3K, Akt, and p-Akt) within HL-60 cells.

Results::
A total of 9 active components of Indigo Naturalis were screened. The top 10 core target genes (TNF,
PTGS2, RELA, MAPK14, IFNG, PPARG, NOS2, IKBKB, HSP90AA1, and NOS3) of Indigo Naturalis active
components within the PPI network were identified. According to the KEGG enrichment analysis, these targets
were associated with leukemia-related pathways (such as acute myeloid leukemia and CML). After intersecting
with leukemia-related genes, it was found that IND participated in the most pairs of target information and was at
the core of the target network; HSP90AA1 was the direct core gene of IND. Furthermore, the in-vitro cell experiments
verified that IND could inhibit the proliferation, elicit G2/M-phase cell cycle arrest, enhance the apoptosis
of HL-60 cells, reduce mitochondrial membrane potential, and promote apoptosis-related protein levels. Under
IND treatment, HSP90AA1 overexpression notably promoted cell proliferation and inhibited apoptosis. Additionally,
IND exerted tumor suppressor effects on leukemia cells by inhibiting HSP90AA1 expression.

Conclusion::
IND, an active component of Indigo Naturalis, could inhibit CML progression, which may be
achieved via inhibiting HSP90AA1 and PI3K/Akt signaling expression levels.
The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review
Authors: González-Castro Ana , Leirós-Rodríguez Raquel , Prada-García Camino , Benítez-Andrades José Alberto 
Published: February 2024

Background
Falls and their consequences are a serious public health problem worldwide. Each year, 37.3 million falls requiring medical attention occur. Therefore, the analysis of fall risk is of great importance for prevention. Artificial intelligence (AI) represents an innovative tool for creating predictive statistical models of fall risk through data analysis.

Objective
The aim of this review was to analyze the available evidence on the applications of AI in the analysis of data related to postural control and fall risk.

Methods
A literature search was conducted in 6 databases with the following inclusion criteria: the articles had to be published within the last 5 years (from 2018 to 2024), they had to apply some method of AI, AI analyses had to be applied to data from samples consisting of humans, and the analyzed sample had to consist of individuals with independent walking with or without the assistance of external orthopedic devices.

Results
We obtained a total of 3858 articles, of which 22 were finally selected. Data extraction for subsequent analysis varied in the different studies: 82% (18/22) of them extracted data through tests or functional assessments, and the remaining 18% (4/22) of them extracted through existing medical records. Different AI techniques were used throughout the articles. All the research included in the review obtained accuracy values of >70% in the predictive models obtained through AI.

Conclusions
The use of AI proves to be a valuable tool for creating predictive models of fall risk. The use of this tool could have a significant socioeconomic impact as it enables the development of low-cost predictive models with a high level of accuracy.

Trial Registration
PROSPERO CRD42023443277; https://tinyurl.com/4sb72ssv
An Exploration of the Money Laundering Associated with the Bitfinex Bitcoin Hack
Authors: Gray Glen L. 
Published: February 2024

ABSTRACT
Bitcoin, launched in 2009, has gone through inconspicuous years, halcyon years, and now, the chaos years. Writers predicted that bitcoin would replace fiat currencies and the underlying technology, blockchain, would significantly reduce the need for auditors. However, there have been numerous major cryptocurrency crimes and related bankruptcies. Called the “heist of the century,” in the 2016 Bitfinex hack, 119,754 bitcoins were illegally transferred from over 2,000 Bitfinex accounts to an external wallet. Starting in January 2017, about 25,118 of those bitcoins were transferred to other exchanges. Several money laundering techniques were employed; however, the perpetrators made mistakes and were arrested in 2022. They were identified through analyzing the bitcoin blockchain, geolocating the IP addresses used for communications, and identifying individuals when bitcoin was used for “real world” transactions. The bitcoin blockchain is publicly available and would be a great resource for Big Data, data analytics, and forensics classes.
JEL Classifications: K42.
Firm Boundaries and Voluntary Disclosure
Authors: Bourveau Thomas , Kepler John D. , She Guoman , Wang Lynn Linghuan 
Published: February 2024

ABSTRACT
We study how vertical integration shapes firms’ public disclosures. Theory suggests that firms can use public disclosure to coordinate with supply chain partners and predicts a substitution between vertical integration and public disclosure of future strategic plans, since the internalization of production reduces the need to publicly coordinate. Using data on the extent of vertical integration, we find that firms that become more vertically integrated reduce their public disclosures about their product strategies and that the reduction is most pronounced for vertically integrated firms with greater internalization of production and those with the largest informational and strategic frictions along the supply chain.
JEL Classifications: D83; G14; L14; M41.
The Effect of Fermentation Time on The Quality of Mocaf (Modified Cassava Flour) with Raw Material Bokor Genotype Cassava
Authors: Prastiwi Erfa Kurnia , Fatoni Rois , Fathoni Ahmad , Setiarto R. Haryo Bimo , Damayanti Ema 
Published: February 2024

Cassava genotype Bokor has a fairly high content of beta carotene, which is beneficial for health and can also support the development of the functional food industry. MOCAF (Modified Cassava Flour) is a product made from cassava flour which is processed by modifying cassava cells through fermentation. This study aims to analyze the effect of long fermentation time on the characteristics of MOCAF from beta-carotene-rich cassava genotype Bokor. In this study, three variations of fermentation time were used, namely 15 hours, 24 hours and 40 hours. The research results showed that the time of fermentation affected the physicochemical properties of MOCAF. NIR analysis showed that the fermentation time affected the chemical composition of MOCAF. At 40 hours (last time of fermentation), there was a decrease in fat content with a value of 1.59% and an increase in water, protein and fibre content with a value of 13.71%, 3.94% and 2.28%, respectively. Proximate analysis showed that there was an effect of the length of fermentation time on the MOCAF content, namely at 40 hours, there was an increase in water content with a value of 10.10%, a decrease in dry matter, ash, protein, fat, fibre with a value of 89.90%, 0.60%, 0.78% respectively, 0.45%, and 1.29%. Scanning Electron Microscope (SEM) analysis shows the effect of fermentation time on the morphological properties of MOCAF starch granules. The longer the fermentation time, the more perforated or damaged the surface of the starch granules. Keywords: Fermentation time, MOCAF flour, NIR (Near Infrared), Proximate, SEM (Scanning Electron Microscope)
Research on typical fire impact and emergency escape planning in Yushuling Coal Mine
Authors: Wang Yongjing 
Published: February 2024

Abstract
Mine fire is a very dangerous underground disaster. In order to better study the situation and influence range of mine fire, this paper uses Ventsim to establish a three-dimensional visual ventilation model of Yushuling coal mine. The fire simulation of coal mining face and central substation is carried out by simulation method to study the change law of CO concentration, visibility and temperature in different places. The results show that the CO concentration and visibility change greatly in the downstream of the fire source point when a fire occurs in the coal face; As for the temperature, the temperature at the fire source varies greatly, and the temperature below the inclined air shaft hardly changes; All of them show a decreasing trend with the increase of the distance from the fire source; In case of fire in central substation, there are great changes in all substances in the roadway before and after the air door is opened and closed; After the air door is closed, the CO concentration drops sharply, the change rate at the end of the fire is reduced, the end time is advanced to half of the original, the temperature change is relatively small, and the visibility remains low for a long time after the damper is closed and the recovery time is late. The research results have important guiding significance for the escape of underground fire.
Analysis of Mandarin Monophthong Production by Intermediate-Level Learners
Authors: Arkin Gulnur , Wu Shengyi 
Published: February 2024

Abstract
This study aims to document the pronunciation status and methods of Mandarin by intermediate-level learners in order to meet the practical requirements of high-precision phonetic recognition for these learners. The research investigates the formant resonance patterns and acoustic vowel charts of Mandarin pronunciation by intermediate-level learners, calculating the Euclidean distance and vowel duration parameters in both standard and non-standard Mandarin for each vowel. The trajectory and pronunciation morphology of the learners acquiring Mandarin monophthongs were thus derived. Notably, it was discovered that the Euclidean distance between the basic vowels of intermediate-level learners and native Mandarin speakers generally decreases as proficiency in Mandarin increases. Additionally, it was observed that, during the process of Mandarin acquisition by learners, there were both "similar vowels" and "unfamiliar vowels" which presented varying degrees of acquisition ease, and certain phenomena that neither the Contrastive Analysis Hypothesis (CAH) nor the Speech Learning Model (SLM) could predict.
Dynamics Response of Rail Vehicle Induced by Incorporating Electric-Dominated Transmission Component
Authors: Yang Changxiu 
Published: February 2024

Abstract
As an important component of train speed regulation, traction transmission system is the power source and the main transmission component of traction force. Its dynamic characteristics can affect the dynamic performance of vehicle system to a certain extent. With the rapid development of rail train transportation in China, the running speed of the train continues to improve, the dynamic characteristics of the vehicle is becoming more complex, and the influence of the electrical part of the traction transmission system gradually appears. The motor and gearbox are crucial components of the train power bogie to complete the conversion and transmission of electric energy to mechanical energy, with their dynamic characteristics are most directly affected by the electrical characteristics of the traction system. In this work, a vehicle electro-mechanical coupling mathematical model based on multi-body dynamics was established by explicitly incorporating the electric-induced traction into the transmission system, to study the influence of traction system vibration on vehicle dynamics. The dynamics responses of the lateral and longitudinal vibration on vehicle motor and gearbox were quantitatively analysed from the traction drive system. Compared with the line test, it was observed that 12-times of the fundamental frequency of the rotor has a great influence on the motor and gearbox.