bluuebunny/crossref_metadata_2025_split huggingface dataset:
FUT11 Expression and Its Clinical Significance in Gastric Cancer
Authors: Huang Yanqing , Yang Xiaoying , Wei Mengda , Yang Xi , Yuan Zhenmin , Huang Junjie , Wei Junren , Tian Lei 
Published: November 2023

Abstract
Background: Gastric cancer (GC) is the most common and aggressively invasive malignancy within the digestive tract. Aberrant glycosylation proteins play a critical role in governing the malignancy of cancer cells and are associated with the advancement of multiple cancer forms. This current study aims to offer a more thorough and systematic comprehension of the expression and clinical relevance of FUT11 in GC, specifically focusing on its involvement in the initiation and progression of GC.
Methods: We employ a range of publicly accessible databases, such as the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), to conduct an extensive investigation of FUT11 in the context of GC. Our analysis encompasses assessments of FUT11's expression levels, its influence on survival prognosis, and its clinical significance. In addition, we acquired GC tissue microarray sections from Suzhou Koch Biotech, comprising 75 individual patient cohorts, further to confirm the expression levels of FUT11 in GC tissues.
Results: Data mining and analysis reveal elevated FUT11 expression in GC, independently associated with patient prognosis. Variable immune cell infiltration levels are observed in patients with differing FUT11 expression. FUT11's involvement in cancer pathways, particularly signal transduction, impacts GC onset and progression.
Conclusions: This study reveals a notable rise in the expression of FUT11 in GC tissue. This increase is linked to a poor prognosis and may affect immune regulation. FUT11 may hold value as an immune and targeted therapeutic, presenting a fresh approach to treating GC.
Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Authors: Arvidsson Ida , Strandberg Olof , Palmqvist Sebastian , Stomrud Erik , Cullen Nicholas , Janelidze Shorena , Tideman Pontus , Heyden Anders , Åström Karl , Hansson Oskar , Mattsson-Carlgren Niklas 
Published: November 2023

Abstract
Background: Predicting future Alzheimer’s disease (AD)-related cognitive decline among individuals with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) is an important task for healthcare. Structural brain imaging as measured by magnetic resonance imaging (MRI) could potentially contribute when making such predictions. It is unclear if the predictive performance of MRI can be improved using entire brain images in deep learning (DL) models compared to using pre-defined brain regions.
Methods: A cohort of 332 individuals with SCD/MCI were included from the Swedish BioFINDER-1 study. The goal was to predict longitudinal SCD/MCI-to-AD dementia progression and change in Mini-Mental State Examination (MMSE) over four years. Four models were evaluated using different predictors: 1) clinical data only, including demographics, cognitive tests and APOE e4 status, 2) clinical data plus hippocampal volume, 3) clinical data plus all regional MRI gray matter volumes (N=68) extracted using FreeSurfer software, 4) a DL model trained using multi-task learning with MRI images, Jacobian determinant images and baseline cognition as input. Models were developed on 80% of subjects (N=267) and tested on the remaining 20% (N=65). Mann-Whitney U-test was used to determine statistically significant differences in performance, with p-values less than 0.05 considered significant.
Results: In the test set, 21 patients (32.3%) progressed to AD dementia. The performance of the clinical data model for prediction of progression to AD dementia was area under the curve (AUC)=0.87 and four-year cognitive decline was R2=0.17. The performance was significantly improved for both outcomes when adding hippocampal volume (AUC=0.91, R2=0.26, p-values <0.05) or FreeSurfer brain regions (AUC=0.90, R2=0.27, p-values <0.05). Conversely, the DL model did not show any significant difference from the clinical data model (AUC=0.86, R2=0.13). A sensitivity analysis showed that the Jacobian determinant image was more informative than the MRI image, but that performance was maximized when both were included.
Conclusions: The DL model did not significantly improve the prediction of clinical disease progression in AD, compared to regression models with a single pre-defined brain region.
Predicting clinical outcomes in a blended care intervention for early psychosis: Acceptance and Commitment Therapy in Daily-Life (ACT-DL)
Authors: Bonnier Rafaël , Beames Joanne , Kiekens Glenn , Aubel Evelyne Van , Schirmbeck Frederike , de Haan Lieuwe , Marcelis Machteld , Gaag Mark van der , Winkel Ruud van , van Therese Amelsvoort , Vaessen Thomas , Reininghaus Ulrich , Lafit Ginette , Myin-Germeys Inez 
Published: November 2023

Abstract

ACT in Daily Life (ACT-DL) is a blended-care Ecological Momentary Intervention that extends ACT into the daily life of individuals, improving psychotic distress, negative symptoms, and global functioning. However, it remains unclear whether ACT-DL works equally for everyone. We investigated whether moderators (i.e., sociodemographic information, personality, and trauma history) determine clinical outcomes in individuals with early psychosis receiving ACT-DL. Seventy-one participants from the INTERACT trial, using ACT-DL, were analyzed. Outcomes included psychotic distress, negative symptoms, global functioning, and psychological flexibility. Using multivariate-multilevel models, we evaluated the effects of sociodemographics, personality, and childhood trauma across baseline, post-intervention, and six- and 12-month follow-ups. Sociodemographic characteristics and personality predicted clinical outcomes. Higher education demonstrated more substantial improvement in global functioning at 6- (B = 7.43, p = .04) and 12-FU (B = 10.74, p = .002) compared to lower education. Higher extraversion showed less improvement in negative symptoms at 12-FU (B = 1.24, p = .01) and more improvement in global functioning at post-intervention (B = 0.39, p = .046) and 6-FU (B = 1.40, p = .02) compared to lower extraversion. Higher neuroticism showed more improvement in negative symptoms at 12-FU (B = -1.59, p = .001) and higher psychological flexibility at 12-FU (B = 8.38, p = .001) compared to lower neuroticism. Our findings suggest that while ACT-DL improves clinical outcomes in individuals with early psychosis, the improvement rate is dissimilar for individuals and predictable by baseline characteristics. If replicated, these findings enable precision medicine approaches in allocating ACT-DL for early psychosis.
WITHDRAWN: Modelling and Analysis of Timed and Coloured Petri Nets Using Linear Formal Series in Dioid Algebra
Authors: Louis Bal dit Sollier , Alain Ourghanlian , Saïd Amari 
Published: November 2023

Abstract
This paper presents a set of important results concerning the definition of Coloured Formal Series (CFS). These series are derived from the classical formal power series found in the tropical algebra, used for the temporal description of timed events graphs dynamics. They are differentiated by their coefficient, which is a colour. This new mathematical framework can be used to describe coloured models. We show that it exists a certain class of coloured formal series realised by Timed Coloured Petri Nets (TCPN), i.e., that each TCPN described linearly in the dioid of CFS has a periodic transfer function. For that, we define a restriction of TCPNs yielding the class of Linear TCPN. We present some trivial examples of how use CFS to describe such models.
Transcriptional changes impact hepatic proteome in autophagy-impaired liver
Authors: Baral Kamal , Joshi Spandan , Lopez Adriana , Mugon Gavisha , Liu Gang , Hinton Cameroon , Mercer Arissa , Bhetwal Bhupal Prasad , Fang Jia , Khambu Bilon 
Published: November 2023

Abstract
Hepatic proteomes are finely regulated by their biosynthesis, extracellular secretion, and intrahepatic degradation. Autophagy regulates the lysosome mediated intrahepatic degradation and regulates the hepatic proteome. Impaired autophagy results in intrahepatic protein accumulation resulting in proteinopathy. Through this study, we aim to determine whether autophagy can also modulate hepatic proteome in a non-degradative manner. With conditional, inducible, and hepatotoxin models of hepatic autophagy impairment, we analyzed the expression status of the overall hepatic proteome by Coomassie brilliant blue (CBB) and Liquid chromatography tandem mass spectrometry (LC/MS). We identified and validated four specific hepatic proteins- Cps1, Ahcy, Ca3, and Gstm1 that were selectively altered in the autophagy-impaired liver. Cps1, Ahcy, and Ca3 protein expressions were dramatically downregulated while Gstm1 protein expression was upregulated in autophagy-impaired livers. Notably, the altered level of these hepatic proteins was not related to impaired autophagic degradation rather it was related to the change in the mRNA transcript level. In addition, persistent activation of nuclear factor erytheroid-derived-2-like 2 (Nrf2) transcription factor due to autophagic impairment transcriptionally regulates the mRNA expression of these hepatic proteins. Out results suggest that autophagy can regulate hepatic protein through non-degradative transcriptional mechanisms by regulating Nrf2.
Massive particle interferometry with lattice solitons
Authors: Naldesi Piero , Polo Juan , Drummond Peter D. , Dunjko Vanja , Amico Luigi , Minguzzi Anna , Olshanii Maxim 
Published: November 2023

We discuss an interferometric scheme employing interference of bright solitons formed as specific bound states of attracting bosons on a lattice. We revisit the proposal of Castin and Weiss [Phys. Rev. Lett. vol. 102, 010403 (2009)] for using the scattering of a quantum matter-wave soliton on a barrier in order to create a coherent superposition state of the soliton being entirely to the left of the barrier and being entirely to the right of the barrier. In that proposal, it was assumed that the scattering is perfectly elastic, i.e. that the center-of-mass kinetic energy of the soliton is lower than the chemical potential of the soliton. Here we relax this assumption: By employing a combination of Bethe ansatz and DMRG-based analysis of the dynamics of the appropriate many-body system, we find that the interferometric fringes persist even when the center-of-mass kinetic energy of the soliton is above the energy needed for its complete dissociation into constituent atoms.
Enhancement in Biological Availability of Vitamins by Nano-engineering
and its Applications: An Update
Authors: Mishra Sadhna , Sahani Shalini , Pandhi Shikha , Kumar Arvind , Mahato Dipendra Kumar , Kumar Pradeep , Khaire Kaustubh Chandrakant , Rai Ashutosh 
Published: November 2023

Abstract::
Vitamin nano-engineering has been accomplished by synthesizing various nanostructures
to improve their stability, bioavailability, shelf life, and functioning. This review provides a
detailed description of recent advances in the art of encapsulation with high efficiency through
the use of practical and logistic nano-engineering techniques such as nanofibres, nanogels, nanobeads,
nanotubes, nanoparticles, nanoliposomes, and many other nanostructures. To demonstrate
the interaction of molecules with nano-forms, the bioavailability of several vitamins such as B,
C, E, A, D, and others in the form of nanostructures is explored. This review will provide a thorough
understanding of how to improve bioavailability and nanostructure selection to extend the
utility, shelf life, and structural stability of vitamins. While nanoencapsulation can improve vitamin
stability and distribution, the materials employed in nanotechnologies may offer concerns
if they are not sufficiently tested for safety. If nanoparticles are not adequately designed and
evaluated, they may cause inflammation, oxidative stress, or other unwanted effects. Researchers
and makers of nanomaterials and medication delivery systems should adhere to established rules
and regulations. Furthermore, long-term studies are required to monitor any negative consequences
that may result from the use of nanostructure.
Green Synthesis of a Novel Phytoalexin Derivative: In Silico Profiling, Apoptotic
Induction, and Antiproliferative Activity against MCF-7 cells - From Vineyards to
Potent Anticancer Drug Molecule
Authors: Roy Lairikyengbam Deepti , Kumar Jyotsna 
Published: November 2023

Background::
Resveratrol's structural similarity to commercialized anti-breast cancer medications such
as Tamoxifen underlines its potential as a promising option for developing successful anti-breast cancer drugs.
However, the pharmacokinetic issues associated with resveratrol, such as its low bioavailability, have piqued the
attention of researchers in developing novel derivatives.

Methods:
A novel phytoalexin derivative, RsvD1, was successfully synthesized using resveratrol extracted from
green grape peels as a precursor to investigate its anti-breast cancer efficacy on Estrogen receptor (ER) positive
and negative breast cancer cells.

Results:
The comparative analysis revealed that RsvD1 exhibited remarkable radical scavenging ability (IC50 =
2.21 μg/mL), surpassing the control, Trolox (IC50 = 6.3 μg/mL). Furthermore, RsvD1 demonstrated enhanced and
selective antiproliferative activity against ER-positive MCF-7 cells (IC50 = 20.09 μg/mL) compared to resveratrol,
the parent molecule (IC50 = 30.90 μg/mL). Further investigations unveiled that RsvD1 induced apoptosis and
DNA damage in MCF-7 cells, leading to cell cycle arrest at the G0/G1 phase after 24 hours of incubation. RTqPCR
gene expression analysis indicated that RsvD1 down-regulated the CAXII (ER-dependent) genes. In silico
predictions demonstrated that RsvD1 possesses promising potential as a drug candidate due to its drug-like characteristics
and favourable ADMET profile. Moreover, molecular docking studies provided insights into the theoretical
binding mode between RsvD1 and ERα protein.

Conclusion::
The study highlights the therapeutic potential of the synthesized resveratrol derivative, RsvD1, positioning
it as a promising scaffold for developing novel analogues with improved therapeutic properties and selectivity,
specifically targeting ER+ breast cancer cells. Moreover, the compound's non-cytotoxic yet antiproliferative
properties, coupled with its capability to induce programmed cell death and cell cycle arrest, enhance its
potential as a highly effective drug candidate. As a result, this paves a promising path for the development of
innovative and selective inhibitors targeting ER+ breast cancer with enhanced efficacy.
Human DNA Mutations and their Impact on Genetic Disorders
Authors: Samir Safia 
Published: November 2023

Abstract:
DNA is a remarkably precise medium for copying and storing biological information.
It serves as a design for cellular machinery that permits cells, organs, and even
whole organisms to work. The fidelity of DNA replication results from the action of hundreds
of genes involved in proofreading and damage repair. All human cells can acquire
genetic changes in their DNA all over life. Genetic mutations are changes to the DNA sequence
that happen during cell division when the cells make copies of themselves. Mutations
in the DNA can cause genetic illnesses such as cancer, or they could help humans
better adapt to their environment over time. The endogenous reactive metabolites, therapeutic
medicines, and an excess of environmental mutagens, such as UV rays all continuously
damage DNA, compromising its integrity. One or more chromosomal alterations
and point mutations at a single site (monogenic mutation) including deletions, duplications,
and inversions illustrate such DNA mutations. Genetic conditions can occur when
an altered gene is inherited from parents, which increases the risk of developing that particular
condition, or some gene alterations can happen randomly. Moreover, symptoms of
genetic conditions depend on which gene has a mutation. There are many different diseases
and conditions caused by mutations. Some of the most common genetic conditions
are Alzheimer’s disease, some cancers, cystic fibrosis, Down syndrome, and sickle cell
disease. Interestingly, scientists find that DNA mutations are more common than formerly
thought. This review outlines the main DNA mutations that occur along the human genome
and their influence on human health. The subject of patents pertaining to DNA mutations
and genetic disorders has been brought up.
Determinants Factors Affecting Quality of Financial Statement Information: External Factors as Moderating Variables
Authors: Syafik Mohammad , Setiawan Doddy 
Published: November 2023

AbstractThe purpose of this research is to provide knowledge related to the influence of the internal control system, the use of information technology and human resource capacity on the quality of financial statement information with external factors as moderating variables. The questionnaire used to gather the data for this study was distributed to 107 Lamongan district employees who work in the financial industry. This research proves that the internal control system, utilization of information technology and human resource capacity has a positive and significant impact on the quality of financial statement information. external factors have no influence on the capacity of human resources on the quality of financial statement information. Future studies may select a wider sample, such as the Provincial Government.Keywords:Internal control system, utilization of information technology, human resource capacity and quality of financial report information.
Can we use ChatGPT for Mental Health and Substance Use Education? Examining Its Quality and Potential Harms
Authors: Spallek Sophia , Birrell Louise , Kershaw Stephanie , Devine Emma Krogh , Thornton Louise 
Published: November 2023

Background
The use of generative artificial intelligence, more specifically large language models (LLMs), is proliferating, and as such, it is vital to consider both the value and potential harms of its use in medical education. Their efficiency in a variety of writing styles makes LLMs, such as ChatGPT, attractive for tailoring educational materials. However, this technology can feature biases and misinformation, which can be particularly harmful in medical education settings, such as mental health and substance use education. This viewpoint investigates if ChatGPT is sufficient for 2 common health education functions in the field of mental health and substance use: (1) answering users’ direct queries and (2) aiding in the development of quality consumer educational health materials.

Objective
This viewpoint includes a case study to provide insight into the accessibility, biases, and quality of ChatGPT’s query responses and educational health materials. We aim to provide guidance for the general public and health educators wishing to utilize LLMs.

Methods
We collected real world queries from 2 large-scale mental health and substance use portals and engineered a variety of prompts to use on GPT-4 Pro with the Bing BETA internet browsing plug-in. The outputs were evaluated with tools from the Sydney Health Literacy Lab to determine the accessibility, the adherence to Mindframe communication guidelines to identify biases, and author assessments on quality, including tailoring to audiences, duty of care disclaimers, and evidence-based internet references.

Results
GPT-4’s outputs had good face validity, but upon detailed analysis were substandard in comparison to expert-developed materials. Without engineered prompting, the reading level, adherence to communication guidelines, and use of evidence-based websites were poor. Therefore, all outputs still required cautious human editing and oversight.

Conclusions
GPT-4 is currently not reliable enough for direct-consumer queries, but educators and researchers can use it for creating educational materials with caution. Materials created with LLMs should disclose the use of generative artificial intelligence and be evaluated on their efficacy with the target audience.
ACE and AT2R1 gene polymorphism in patients with chronic vascular encephalopathy: association with neuroimaging changes and cognitive functioning
Authors: Duve K.V. 
Published: November 2023

Background. Given the synergistic effect of the ACE and AT2R1 genes and their impact on the maintenance of homeostatic processes, the aim of our research was to identify the associations of the studied polymorphic variants of the ACE and AT2R1 genes with neuroimaging changes, data from arterial duplex ultrasound and cognitive functioning in patients with chronic vascular encephalopathy (CVE). Materials and methods. A retrospective analysis of 145 medical records of patients with CVE was conducted, of which 18 patients underwent a molecular genetic study. The control group consisted of 12 people representative in terms of age and gender. Neuroimaging was performed using multislice computed tomography or magnetic resonance imaging. The state of cerebral blood flow was studied using transcranial duplex ultrasound of intracranial and extracranial vessels. The cognitive functioning was tested using the Montreal Cognitive Assessment. Results. When analyzing the associations of polymorphic I/D variants of the ACE gene and A1166C of the AT2R1 gene with neuroimaging changes and parameters of cerebral hemodynamics in CVE among carriers of I and D alleles of the ACE gene, a probable relationship was found between their frequency distribution and the presence/absence of gliosis phenomena (62.69 % of D allele carriers were diagnosed with gliosis, p < 0.05); a probable relationship between the frequency distribution of the D/D genotype of the ACE gene and the presence of angiospasm (in 72.73 % of patients), insufficiency of blood flow in the carotid system (72.73 % of cases) and vertebrobasilar insufficiency (in 36.36 % of people). When evaluating the dependence of cognitive functions based on the Montreal Cognitive Assessment score in patients with CVE on the polymorphic I/D variants of the ACE gene and A1166C of the AT2R1 gene, probable changes were revealed in the frequency distribution of genotypes and alleles of the polymorphic I/D variant of the ACE gene (χ2 = 11.33; p = 0.023), while all carriers of the D/D genotype have impaired cognitive functioning (moderate in 36.36 % and mild in 63.64 % of cases), which also corresponds to the frequency of the D allele distribution in this cohort of patients (29.63 % of people have a moderate cognitive impairment and 70.37 % — a mild cognitive impairment, p = 0.013). Conclusions. The study results indicate that the ACE gene may be involved in the development of neuroimaging changes and cognitive decline in CVE.