bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence from Machine Learning, Diagnostic Hub Genes in Sepsis and Diagnostic Models based on Xgboost Models, Novel Molecular Models for the Diagnosis of Sepsis
Authors: Yu Yangzi , Li Jing , Li Jiarui , Zen Xianming , Fu Qiang 
Published: November 2023

Background:
Systemic multi-organ dysfunction resulting from dysregulated
immune responses in the host triggered by microbial infection or other factors is a major
cause of death in sepsis, and secretory pathways play an important role in it.

Methods:
GSE57065, GSE65682, GSE145227, and GSE54514 from Gene Expression
Omnibus (GEO) were derived for this study. Secretory pathways single sample gene set
enrichment analysis (ssGSEA) scores in sepsis and normal samples were exposed. Gene
modules associated with secretory pathways were selected by weighted gene coexpression
network analysis (WGCNA) for Protein-Protein Interaction Networks (PPI)
assessment, and crossover genes in both were evaluated by eXtreme Gradient Boosting
(XGBoost) model in feature selection to identify hub genes in sepsis. In addition, we explored
the immune cells and signaling pathways regulated by hub genes.

Results:
Remarkable dysregulation of secretory pathways was demonstrated in sepsis.
The secretory pathways-associated gene modules were intimately involved in cytokine
and immune responses in infection. Four crossover genes (CD163, FCER1G, C3AR1,
ARG1) were present in WGCNA and PPI, and training in the XGBoost model revealed
the best diagnostic performance of these 4 genes, meaning that these genes were the hub
genes for sepsis. The 4-hub genes showed a significant negative correlation with T cell activity
and a significant positive correlation with inflammatory immune cells. In addition,
we found that the 4-hub genes markedly positively regulated INFLAMMATORY RESPONSE,
IL6 JAK STAT3 SIGNALING.

Conclusion:
Based on WGCNA, PPI, and XGBoost models, we identified hub genes that
play an important regulatory role in sepsis. We also developed novel molecular models for
the diagnosis of sepsis.
Differential Pharmacokinetic Interplay of Atorvastatin on Lacosamide and
Levetiracetam on Experimental Convulsions in Mice
Authors: Rajangam Jayaraman , Lakshmanan Arun Prasath , Palei Narahari N. , Elumalai Karthikeyan , Kotakonda Muddukrishnaiah , Prakash R. , Latha P 
Published: November 2023

Background:
The beneficial effects of statins, other than their hypocholesterolemia role, have been
well documented, however, their use as an adjuvant drug with other antiseizure drugs, in the treatment of epilepsy
is poorly understood.

Objective:
This study aimed to investigate the symbiotic effect of ATOR along with either lacosamide (LACO) or
levetiracetam (LEVE) on experimentally induced epilepsy (Maximal electro-shock-MES or pentylenetetrazol-
PTZ) in mice models.

Methods:
Conventional elevated-maze (EPM) and rotarod methods were performed to observe the behavioral
effects.

Results:
In both the animal models, we found that co-administration of ATOR along with LACO showed a significant
reduction in hind-limb extension (HLE) and clonic convulsion (CC) responses, respectively, but not in the
ATOR+LEVE treated group. Intriguingly, comparable Straub tail response and myoclonic convulsion as the diazepam
(DIA) group were observed only in the ATOR+LACO treated group. Moreover, a significant muscle-grip
strength was observed in both groups. Also, pharmacokinetic analysis has indicated that the mean plasma concentration
of ATOR peaked at 2nd hr in the presence of LACO but marginally peaked in the presence of LEVE. An Insilico
study has revealed that ATOR has a higher binding affinity toward neuronal sodium channels.

Conclusion:
This study has demonstrated that the plasma concentration of ATOR was potentiated in the presence
of LACO, but not in the presence of LEVE and it has provided significant protection against both the electro and
chemo-convulsive models in mice. This could be due to the symbiotic pharmacokinetic interplay of ATOR with
LACO, and possibly, this interplay may interfere with sodium channel conductance.
Cubosomes: An Emerging and Promising Drug Delivery System for
Enhancing Cancer Therapy
Authors: Singh Smita , Sachan Kapil , Verma Suryakant , Singh Nidhi , Singh Pranjal Kumar 
Published: November 2023

Abstract:
Cancer and other diseases can be treated with cubosomes, which are lyotropic nonlamellar
liquid crystalline nanoparticles (LCNs). These cubosomes can potentially be a highly
versatile carrier with theranostic efficacy, as they can be ingested, applied topically, or injected
intravenously. Recent years have seen substantial progress in the synthesis, characterization,
regulation of drug release patterns, and target selectivity of loaded anticancer bioactive compounds.
However, its use in clinical settings has been slow and necessitates additional proof.
Recent progress and roadblocks in using cubosomes as a nanotechnological intervention against
various cancers are highlighted. In the last few decades, advances in biomedical nanotechnology
have allowed for the development of "smart" drug delivery devices that can adapt to external
stimuli. By improving therapeutic targeting efficacy and lowering the negative effects of payloads,
these well-defined nanoplatforms can potentially promote patient compliance in response
to specific stimuli. Liposomes and niosomes, two other well-known vesicular systems, share a
lipid basis with cubosomes. Possible applications include a novel medication delivery system for
hydrophilic, lipophilic, and amphiphilic drugs. We evaluate the literature on cubosomes, emphasizing
their potential use in tumor-targeted drug delivery applications and critiquing existing
explanations for cubosome self-assembly, composition, and production. As cubosome dispersion
has bioadhesive and compatible features, numerous drug delivery applications, including oral,
ocular, and transdermal, are also discussed in this review.
The Efficacy of Negative Pressure Wound Therapy (NPWT) on Healing of
Diabetic Foot Ulcers: A Literature Review
Authors: Widigdo Dwi Ari Murti , Muttaqien Sofro Zaenal , Suseani Pangastuti Heny , Dachlan Ishandono 
Published: November 2023

Background::
Diabetes mellitus is a complex disorder that requires continuous management
to control blood sugar levels and prevent complications. Diabetic foot ulcers (DFU) are
the most common complication in diabetic patients. A popular therapy modality with considerable
advantages in the management of diabetic foot ulcers today is negative pressure wound therapy
(NPWT).

Objective::
This study aimed to review related articles about the efficacy as well as the complications
or adverse effects of using NPWT on the healing of DFUs.

Methods::
Searching English databases from PubMed, Ebscohost, Proquest and Science Direct
was done to identify relevant citations published between January 2017 and January 2022. A
combination of terms was used with the boolean formulation of “negative pressure wound therapy
OR NPWT” OR “vacuum-assisted closure or VAC” AND “diabetic foot ulcers OR diabetic
foot wound” AND “wound healing” AND “Conventional dressings” and map terms were also
used for the subject heading. Some potentially relevant citations of articles from the bibliographies
are also reviewed.

Results::
This study included 8 related articles consisting of 6 RCTs, 1 cohort study and 1 Quasy
experimental study. There were various methodological techniques for using NPWT and outcome
measures among studies. The results of this literature review showed that NPWT was
more efficacious than the other conventional or advanced moist dressings. This therapy revealed
a faster healing time with complete wound healing and formation of granulation tissue and reduction
in wound size. The complications or adverse effects of NPWT, such as amputation
rate, bleeding and pain, were not different from conventional or advanced moist dressings,
though.

Conclusion::
NPWT was more efficacious than other conventional or advanced moist dressings
for the healing of DFUs. However, complications or adverse effects of using this therapy
showed no significant difference with other conventional or advanced moist dressings.
Clinical Risk Assessment and Comparison of Bias between Laboratory
Methods for Estimation of HbA1c for Glycated Hemoglobin in
Hyperglycemic Patients
Authors: Mukherjee Sukhes , Yadav Prasant , Ray Suman Kumar , Jadhav Ashish A. , Wakode Santosh L. 
Published: November 2023

Introduction:
Hemoglobin A1c (HbA1c), also known as glycated hemoglobin, is a
blood test used to evaluate and track a patient's blood sugar levels over the previous 2-3 months.
We have compared the analytical performance of the D10 hemoglobin (HPLC) testing system to
that of the immunoturbidimetric technique, which is a light-scattering immunoassay

Objectives:
To assess the clinical risk assessment between two methods (Compare the two Immunoturbidometric methods (AU680) vs HPLC method (D10)) in hyperglycemic patients and
assess the acceptability of the respective methods in the clinical biochemistry Laboratory.

Methods:
The charge of the globins in Hb was used as the basis for the HPLC method used to
measure HbA1c. HPLC detects and quantifies even the tiniest Hb fractions and the full spectrum
of Hb variants. HbA1c was measured using the immunoturbidimetric (AU 680 Beckmann coulter analyzer) and high-performance liquid chromatography (HPLC) techniques. Experiments also made use of immunoturbidimetric techniques (using an AU 680 Beckmann coulter analyzer
equipment).

Results:
There is no statistically significant difference in HbA1c readings between male and female patients, as measured by either the Immunoturbidimetric or HPLC techniques.

Conclusion:
The immunoturbidimetric and high-performance liquid chromatography techniques
for estimating HbA1c yielded identical results. From the results of this study, we may deduce
that both techniques are valid for estimating HbA1c. As a result, it may be suggested that both
approaches can be used to estimate HbA1c in diabetic individuals.
Bibliometric and Visualized Analysis of Global Evolution of Research in Lung
Ultrasound: A Rapidly Developing Field
Authors: Xiao Jinting , Yu Zaiyang , Shang Hao , Dongye Shengzi , Li Shengjie , Wu Jianlin 
Published: November 2023

Background::
Lung ultrasound (LUS) is gaining recognition as an indispensable diagnostic tool in critical care.

Objective::
To characterize the global research landscape and trend of LUS with quantification and visualization approaches.

Methods::
Documents related to LUS published between 2007 and 2021 were selected from Web of Science Core Collection and identified. Visualization and statistical analysis were conducted with the VOSviewer 1.6.18, CiteSpace 5.7.R5, and Bibliometrix 4.1.0 Package, including analysis of the trend of global publications, prominent countries, active institutions and funding agencies, key authors and journals, co-cited references, and keywords.

Results::
A total of 2,206 publications including 1796 articles and 410 reviews were retrieved. The output of LUS research has increased steadily over the years, especially after 2018. The United States (n=584; 26.47%) showed the highest output, and the country with the highest total citations was Italy (cited 16567 times). The most influential author was Volpicelli Giovanni with 47 documents, who worked at the San Luigi Gonzaga University Hospital. Chest and Intensive Care Medicine with high citations and impact factor scores were the most influential journals. Besides &amp;quot;lung ultrasonography&amp;quot;, the keywords had been developed in &amp;quot;coronavirus disease 2019 (COVID-19)&amp;quot;, &amp;quot;acute respiratory distress syndrome (ARDS)&amp;quot;, and &amp;quot;acute heart failure&amp;quot;.

Conclusion::
Research output has increased steadily at LUS, especially after 2018. The United States and Western Europe are staying ahead in this field. Research collaboration still needs to be strengthened. This comprehensive analysis presents the global research landscape and trends of LUS research, providing valuable information for researchers to pursue further exploration.
Unveiling the ESR1 Conformational Stability and Screening Potent
Inhibitors for Breast Cancer Treatment
Authors: Sharma Khushboo , Panwar Umesh , Madhavi Maddala , Joshi Isha , Chopra Ishita , Soni Lovely , Khan Arshiya , Bhrdwaj Anushka , Parihar Abhyuday Singh , Mohan Vineeth Pazharathu , Prajapati Leena , Sharma Rashmi , Agrawal Shweta , Hussain Tajamul , Nayarisseri Anuraj , Singh Sanjeev Kumar 
Published: November 2023

Background:
The current study recognizes the significance of estrogen receptor alpha
(ERα) as a member of the nuclear receptor protein family, which holds a central role in the
pathophysiology of breast cancer. ERα serves as a valuable prognostic marker, with its established
relevance in predicting disease outcomes and treatment responses.

Methods:
In this study, computational methods are utilized to search for suitable drug-like
compounds that demonstrate analogous ligand binding kinetics to ERα.

Results:
Docking-based simulation screened out the top 5 compounds - ZINC13377936,
NCI35753, ZINC35465238, ZINC14726791, and NCI663569 against the targeted protein. Further,
their dynamics studies reveal that the compounds ZINC13377936 and NCI35753 exhibit the
highest binding stability and affinity.

Conclusion:
Anticipating the competitive inhibition of ERα protein expression in breast cancer, we
envision that both ZINC13377936 and NCI35753 compounds hold substantial promise as potential
therapeutic agents. These candidates warrant thorough consideration for rigorous In vitro and In
vivo evaluations within the context of clinical trials. The findings from this current investigation
carry significant implications for the advancement of future diagnostic and therapeutic approaches
for breast cancer.
Enhancing the Bioavailability of Silymarin Phytopharmaceutical by using
Piperine and Fulvic Acid and Simultaneously Quantifying Three
Biomarkers in Plasma
Authors: Ralli Tanya , Saifi Zoya , Usmani Zakiya , Aeri Vidhu , Aqil Mohd. , Kohli Kanchan 
Published: November 2023

Background:
Silymarin (SM) is a mixture of seven flavonolignans (FL) and one flavonoid
extracted from the seeds of the milk thistle plant. The major FLs include silibinin, silychristin, silydianin,
and isosilibinin. Silibinin, a mixture of two diastereomers, i.e., silybin A and silybin B, has
been found to be the most active biomarker molecule in the extract of SM. Some studies have also
demonstrated the usefulness of other biomarkers. However, most studies have characterized SM extract
with respect to silibinin only. In our previous study, we isolated five different biomarkers (silychristin,
silibinin, and isosilibinin (mixture of isosilybin A and B)) and denoted them as SM phytopharmaceuticals
(PP). In other research, we have combined the SM PP with two bioavailability enhancers,
i.e., Piperine (PIP) and fulvic acid (FA). The formulation containing 140 mg SM PP, 10%
PIP and 20% FA was optimized using dissolution testing, and its enhanced permeability was demonstrated
by ex-vivo gut sac study and Confocal laser scanning microscopy (CLSM).

Methods:
In this research, we have compared the bioavailability of SM suspension with SM PP and
the optimized formulation in C57BL/6J mice. Furthermore, the bioavailability estimation was done
for three biomarkers simultaneously, i.e., silychristin, silibinin, and isosilibinin.

Results:
Comparing the results for three different groups, it was found that the order of Cmax was F1>
SM PP> SM suspension for all three biomarkers. For all the three biomarkers, the value of Cmax was
at least two times more for F1 as compared to SM suspension. However, the Tmax remained constant
i.e., 2 h for all the three groups and for all the three biomarkers. Furthermore, the clearance values
were found to be in the order SM suspension > SM PP > F1.

Conclusion:
The PIP and FA present in this combination increased the clearance value and Cmax,
respectively, of the formulation. Hence, this combination of SM PP with PIP and FA has shown a
better pharmacokinetic profile than SM suspension, thus, it can serve as a better alternative for the
treatment of liver disease.
Preliminary Study of Antibiotics Susceptibility Testing and Pathogens
Associated with Nosocomial Infections in a Tertiary Hospital
Authors: Tolou-Ghamari Zahra 
Published: November 2023

Background:
Health care associated with multiresistant pathogens is rising globally. As nosocomial infections (NIs) could increase hospital stay, morbidity, mortality and disability, therefore the aim of this preliminary study was to define antibiotics and pathogens associated with NIs in a main tertiary hospital in Isfahan, Iran.

Methods:
The data were extracted from the official database of hospital NIs records. For each patient, the reported infections were abbreviated as: UTI-SUTI, VAE-PVAP, BSI-LCBI, SSI-DIP and so on. For continuous variables, mean ± standard deviation, and for categorical varia-bles, frequency was used.

Results:
The study population was 5542 patients, comprised of males (n=3282) and females (n=2260). With a minimum of 15 and a maximum of 99, the mean age in 5313 patients was 58.5 ± 19.1 years old. The highest reported NIs (n= 77%) were associated with the ages between 30-80 years old. Sites of NIs in 93% were as: VAE-PVAP- VAE-IVAC; 31%, UTI-SUTI; 30%, SSI-DIP; 19%, BSI-LCBI; 13%, and other individual infection (7%) with the main pathogens associated with Acinetobacter baumannii, Klebsiella pneumonia, Candida and Staphylococcus spp. Antibiotic susceptibilty testing showed the most sensitivity of isolates against Vancomycin (62%), Gentamicin (59%), Ampicillin (44%), Amikacin (35%) and Co-trimoxazol (32%).

Conclusion:
As most NIs are avoidable, for commissioning an efficient surveillance system, further study of pathogens in relation to evidence-based antibiotic-therapy and advanced infection control program is suggested to be valuable.
Comparative Analysis of Published Database Predicting MicroRNA
Binding in 3’UTR of mRNA in Diverse Species
Authors: Ahirwar Sonu Singh , Rizwan Rehma , Sethi Samdish , Shahid Zainab , Malviya Shivani , Khandia Rekha , Agarwal Amit , Kotnis Ashwin 
Published: November 2023

Background:
Micro-RNAs are endogenous non-coding RNA moieties of 22-27 nu-cleotides that play a crucial role in the regulation of various biological processes and make them useful prognostic and diagnostic biomarkers. Discovery and experimental validation of miRNA is a laborious and time-consuming process. For early prediction, multiple bioinformatics data-bases are available for miRNA target prediction; however, their utility can confuse amateur re-searchers in selecting the most appropriate tools for their study.

Objective:
This descriptive review aimed to analyse the usability of the existing database based on the following criteria: accessibility, efficiency, interpretability, updatability, and flexibility for miRNA target prediction of 3’UTR of mRNA in diverse species so that the researchers can utilize the database most appropriate to their research.

Methods:
A systematic literature search was performed in PubMed, Google Scholar and Scopus databases up to November 2022. ≥10,000 articles found online, including ⁓130 miRNA tools, which contain various information on miRNA. Out of them, 31 databases that provide infor-mation on validated 3’UTR miRNAs target databases were included and analysed in this review.

Results:
These miRNA database tools are being used in varied areas of biological research to select the most suitable miRNA for their experimental validation. These databases, updated until the year 2021, consist of miRNA-related data from humans, animals, mice, plants, viruses etc. They contain 525-29806351 data entries, and information from most databases is freely available on the online platform.

Conclusion:
Reviewed databases provide significant information, but not all information is ac-curate or up-to-date. Therefore, Diana-TarBase and miRWalk are the most comprehensive and up-to-date databases.
Penggunaan Fitur Closefriend Instagram Sebagai Bentuk Self Disclosure
Authors: Sisnawar Widya Cantika , Karimah Kismiyati El , Zein Duddy 
Published: November 2023

Latar Belakang: Instagram adalah salah satu media sosial yang sering digunakan saat ini, khususnya oleh generasi milenial usia 18-24 tahun, di dalam Instagram pun terdapat berbagai fitur, salah satunya adalah fitur closefriend. Fitur closefriend merupakan fitur yang memungkinkan penggunanya dapat membagikan berbagai informasi dengan orang-orang yang telah mereka pilih untuk di masukan kedalam fitur tersebut. Tujuan dari penelitian ini untuk mengetahui motif Mahasiswa Bandung-Jatinangor dalam melakukan self disclosure pada fitur closefriend, mengetahui pengalaman Mahasiswa Bandung-Jatinangor dalam melakukan self disclosure pada fitur closefriend hingga bagaimana Mahasiswa Bandung-Jatinangor memaknai self disclosure yang dilakukannya pada fitur closefriend. . Metode yang digunakan oleh peneliti dalam penelitian ini adalah metode fenomenologi, dimana peneliti melakukan observasi, wawancara dan studi kepustakaan untuk mendapatkan data penelitian. Berdasarkan hasil penelitian ditemukan bahwa terdapat faktor yang dapat memotivasi seseorang untuk melakukan self disclosure pada fitur closefriend seperti besaran kelompok, perasaan menyukai, efek diadik, kompetensi, kepribadian, topik dan jenis kelamin. Selain itu setiap individu memiliki tingkat keterbukaan dan batasan privasi yang berbeda-beda. Self disclosure yang dilakukan pada fitur closefriend dilandasi dengan kepercayaan, rasa aman dan nyaman. Fitur closefriend memungkinkan penggunanya untuk dapat lebih berekspresi dan menjadi apa adanya dikarenakan di dalam fitur tersebut hanya berisikan orang-orang yang telah dipercaya. Dengan demikian dapat disimpulkan bahwa fitur closefriend menjadi wadah yang aman untuk melakukan self disclosure. Kata-kata kunci ; Self disclosure; Fitur Closefriend, Instagram, Faktor Self Disclosure, Batasan privasi
Follower and Takeoff Points in Proximity Spaces
Authors: Almohammed Raghad , Jabar L .A. A. 
Published: November 2023

In the present study, the cluster concept was adopted to find points parallel to the cumulative points of any subset in topology cluster proximity spaces. The takeoff set term was given by the researcher to the set of all points. Also, an opposite definition was found for it, which is the follower set. The relation between them was found and their most important properties were highlighted. Through these two sets, new sets were built that are called, f_σ-set ,f_tσ-set ,t_fσ-set ,bushy set, scant set .
SMS Spam Detection Using Multiple Linear Regression and Extreme Learning Machines
Authors: Ali Zuhair Hussein , Salman Hayder Mahmood , Harif Alaa Hassan 
Published: November 2023

With the growth of the use mobile phones, people have become increasingly interested in using Short Message Services (SMS) as the most suitable communications service. The popularity of SMS has also given rise to SMS spam, which refers to any unwanted message sent to a mobile phone as a text. Spam may cause many problems, such as traffic bottlenecks or stealing important users' information. This paper, presents a new model that extracts seven features from each message before applying a Multiple Linear Regression (MLR) to assign a weight to each of the extracted features. The message features are fed into the Extreme Learning Machine (ELM) to determine whether they are spam or ham. To evaluate the proposed model, the UCI benchmark dataset was used. The proposed model produced recall, precision, F-measure, and accuracy values of 98.7%, 93.3%, 95.9%, and 98.2%, respectively.