bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Sentiment Analysis via Fusion of Multiple Embeddings using Attention Encoder with LSTM
Authors: Soni Jitendra , Mathur Kirti 
Published: October 2023

Abstract

Different embeddings capture various linguistic aspects, such as syntactic, semantic, and contextual information. Taking into account the diverse linguistic facets we propose a novel hybrid model. This model hinges on the amalgamation of multiple embeddings through an attention encoder, subsequently channeled into an LSTM framework for sentiment classification. Our approach entails the fusion of Paragraph2vec, ELMo, and BERT embeddings to extract contextual information, while FastText is adeptly employed to capture syntactic characteristics. Subsequently these embeddings were fused with the embeddings obtained from the attention encoder which forms the final embeddings. LSTM model is used for predicting the final classification. We conducted experiments utilizing both the Twitter Sentiment140 and Twitter US Airline Sentiment datasets. Our fusion model's performance was evaluated and compared against established models such as LSTM, Bi-directional LSTM, ,BERT and Att-Coder. The test results clearly demonstrate that our approach surpasses the baseline models in terms of performance.
Perspectives of primary care physicians in Spain on malaria: a cross-sectional survey and retrospective review of cases
Authors: Linares-Rufo Manuel , Bermudez-Marval Harold , García-Bertolín Carlos , Santos-Galilea Joaquín , Vázquez Javier Balsa , Pérez-Tanoira Ramón , Santos-Larrégola Laura , Cuadros-González Juan , Rojo-Marcos Gerardo , Ramos-Rincón José-Manuel 
Published: October 2023

Abstract
Background In Spain, the risk of imported malaria has increased in recent years due to the rise in international travel and migration. Little is known about the knowledge, information sources, clinical practice, and specific needs of primary care physicians (PCPs) concerning malaria despite the pivotal role played by these professionals in managing the health of tourists. The objective of this study was to assess the knowledge, attitudes, and practices of PCPs in Spain regarding malaria.
Methods This research analyzes data from (1) a cross-sectional nationwide survey assessing the knowledge and attitudes of PCPs regarding malaria and (2) a retrospective review of 373 malaria cases appearing in primary care medical records (PCMRs) in the Madrid area over the past 15 years to determine how cases were documented, managed, or characterized in the primary care setting.
Results The survey findings reveal a modest level of self-perceived familiarity with malaria (221/360, 57.6%), even though 32.8% of the practitioners reported having delivered care for confirmed or suspected cases of the disease. Ten percent of the survey participants did not know the name of the mosquito that transmits malaria, and only 40.7% would promptly request malaria testing for a traveler with symptoms after a trip to an endemic area. Responses provided by younger PCPs varied to a greater extent than those of their more experienced colleagues regarding prevention practices and patient management. A review of PCMRs showed that only 65% of all patients were recorded as such. Among those registered, only 40.3% had a documented malaria episode, and of those, only 16.6% received proper follow-up. Only 23.7% of the patients with a PCMR had a record that specifically indicated travel to an endemic country or travel classified as visiting friends and relatives (VFR).
Conclusions The findings of this study underscore the critical role of PCPs in the field of travel medicine, particularly given the increase in imported malaria cases. These results highlight the need for targeted training in travel medicine and the need to ensure optimal patient education in care settings.
The Impact of ABCB1 SNPs on Tacrolimus Pharmacokinetics in Liver or Kidney
Transplant Recipients: A Meta-analysis
Authors: Li Ze , Wang Xiaozhen , Li Dandan , Cheng Sheng , Dong Yiwen , Yang Hongge , Li Xingang 
Published: October 2023

Purpose:
We aimed to investigate the association between ATP Binding Cassette Subfamily B
Member 1 (ABCB1) single nucleotide polymorphisms (SNPs) and the pharmacokinetics of tacrolimus.

Methods:
A search was conducted in Cochrane Central Register of Controlled Trials (CENTRAL), Web of
Science (SCI), MEDLINE, and Embase from inception to November 2022. Outcomes included weightadjusted
daily dose (DD) and dose-adjusted trough concentration (C0/Dose).

Results:
A total of 1059 liver or kidney transplant recipients from 14 publications were included. For adult
liver transplantation recipients, DD of ABCB1 3435C>T CC carriers was 0.03 mg/kg/day (WMD = 0.03, 95%
CI: 0.01 to 0.05, I2 = 0%) higher than ABCB1 3435C>T T carriers at post-transplantation ≤ 7 days; C0/dose of
ABCB1 3435C>T CC carriers were 31.88 (WMD = -31.88, 95% CI: -62.32 to -1.45, I2 = 83.5%) or 34.61
(ng/ml)/(mg/kg/day) (WMD = -34.61, 95% CI: -65.26 to -3.97, I2 = 55.3%) lower than ABCB1 3435C>T T
carriers at post-transplantation ≤ 7 or 14 days, respectively. No difference in C0/dose was observed for
ABCB1 2677G>T/A or ABCB1 1236C>T SNPs in both liver and kidney transplant recipients.

Conclusion:
ABCB1 3435C>T SNP might have a potential impact on tacrolimus pharmacokinetics in the early
stage after liver transplantation, indicating the probability of individualized immunosuppressive therapy
based on genetic polymorphism. Given some limitations, further well-designed prospective studies are warranted
to validate these conclusions.
The Potential of Cannabidiol for Acute Respiratory Distress Syndrome in
COVID-19
Authors: Azimi Saeid , Saghafi Fatemeh , Mohammadi Mohammad Hossein , Moghimi Mohammad Hossein , Akhavan Seyed Ali , Khataminia Masoud , Shirvani Maria , Sohrevardi Seyed Mojtaba , Jamialahmadi Tannaz , Sahebnasagh Adeleh , Sahebkar Amirhossein 
Published: October 2023

Abstract:
COVID-19 disease manifests itself in a wide range of signs and symptoms, beginning with mild
symptoms, such as fever, cough, and dyspnea, progressing to acute respiratory distress syndrome (ARDS) and
death in some cases. The cytokine storm, or an excess of cytokines released locally, is assumed to be the primary
cause of ARDS and mortality in COVID-19 patients. To enhance the survival rate of COVID-19 patients,
early management of the cytokine storm with immunomodulators is crucial. Although the effectiveness
of some immunosuppressants, such as corticosteroids and tocilizumab, has been studied in clinical trials, the
administration of these drugs should be exercised cautiously. Cannabidiol (CBD) is a non-psychotropic phytocannabinoid
from Cannabis sativa extracts with anti-inflammatory properties. This review is intended to discuss
the possible utility of CBD for the management of COVID-19 patients, particularly those with ARDS.
A Comprehensive Review on Imperative Role of Ionic Liquids in Pharmaceutical
Sciences
Authors: Uniyal Prerna , Das Shibam , Panwar Surbhi , Kukreti Neelima , Nainwal Pankaj , Bhatia Rohit 
Published: October 2023

Abstract:
Ionic liquids (ILs) are poorly-coordinated ionic salts that can exist as a liquid at room temperatures
(or <100 °C). ILs are also referred to as "designer solvents" because so many of them have
been created to solve particular synthetic issues. ILs are regarded as "green solvents" because they
have several distinctive qualities, including better ionic conduction, recyclability, improved solvation
ability, low volatility, and thermal stability. These have been at the forefront of the most innovative
fields of science and technology during the past few years. ILs may be employed in new drug formulation
development and drug design in the field of pharmacy for various functions such as improvement
of solubility, targeted drug delivery, stabilizer, permeability enhancer, or improvement of bioavailability
in the development of pharmaceutical or vaccine dosage formulations. Ionic liquids have
become a key component in various areas such as synthetic and catalytic chemistry, extraction, analytics,
biotechnology, etc., due to their superior abilities along with highly modifiable potential. This
study concentrates on the usage of ILs in various pharmaceutical applications enlisting their numerous
purposes from the delivery of drugs to pharmaceutical synthesis. To better comprehend cuttingedge
technologies in IL-based drug delivery systems, highly focused mechanistic studies regarding
the synthesis/preparation of ILs and their biocompatibility along with the ecotoxicological and biological
effects need to be studied. The use of IL techniques can address key issues regarding pharmaceutical
preparations such as lower solubility and bioavailability which plays a key role in the lack of
effectiveness of significant commercially available drugs.
An Insight into Mesoporous Silica Nanoparticles: Ray of Hope for Cancer
Management
Authors: Singh Chauhan Chetan , Garg Akash , Agrawal Rutvi 
Published: October 2023

Abstract:
Cancer is one of the fatal diseases leading to a high mortality rate. The conventional formulations
available for the treatment of cancer are associated with several drawbacks. The major
ones are increased side effects due to improper tumor selectivity, metastasis of cancer cells and development
of multi-drug resistance to available chemotherapeutic drugs. The development of nanobased
formulations for the treatment of cancer has been found to be beneficial up to a great extent.
Mesoporous Silica nanoparticles are one of the nanotechnology-based formulations that could overcome
major disadvantages associated with conventional therapy, such as metastasis, multi-drug resistance
and side effects to normal cells. MSN-based nanoformulations could provide dual therapeutic
effects against cancer cells. Due to their small size and large surface, which could be functionalized
by using different targeting and therapeutic moieties, they provide targeted and enhanced drug
delivery. This review highlights Mesoporous silica nanoparticles along with their properties, drug
encapsulation and various applications in drug delivery, such as multi-targeting strategy, and multimodal
combined therapy by using ultrasound, photodynamic etc. In the future, MSN-based nanomedicines
could be used to develop other innovative strategies for cancer treatment.
A Review on Indole as a Cardinal Scaffold for Anticancer Drugs Development
Authors: Rana Meenakshi , Ranjan Rajeev , Sekhar Ghosh Niladry , Kumar Dharmendra , Singh Ranjit 
Published: October 2023

Abstract:
Chemotherapy is the mainstay of therapeutic cancer therapy; however, the development of
resistance typically makes it less effective. There are continuous efforts by researchers to find novel
lead compounds with potent anti-cancer activity. Generally, synthetic or natural heterocyclic compounds
have been investigated in detail as a scaffold for cancer therapeutics. Among them, indole,
owing to its unique physiochemical and biological properties, provides a promising platform for the
development of pharmacophores for drug development against cancer, acting via various mechanisms.
Till now, several indole-based derivatives have been identified as anti-cancer agents, which
are either being used in clinics or are in various phases of clinical trials, suggesting their importance
in anti-cancer drug development. These anti-cancer drugs have been classified into different classes
depending on their mechanism of action. For example, histone deacetylase inhibitors (HDAC inhibitors),
silent mating type information regulation 2 homolog (SIRT) inhibitors, tubulin inhibitors,
proviral insertion site in Moloney murine leukemia virus (Pim) inhibitors, DNA Topoisomerase
inhibitors, and kinase inhibitors. In this review, the author's approach is to compile the recent
developments on indole-based anti-cancer drugs and provide insight into the respective structureactivity
relationships (SARs) of the compounds. We hope the review will provide a thorough understanding
to the reader and guide to developing novel and potent indole-based anticancer agents
against drug-sensitive and drug-resistant cancer in the future.
Clinical Trials of Mesenchymal Stem Cells for the Treatment of COVID 19
Authors: Zendedel Elham , Tayebi Lobat , Nikbakht Mohammad , Hasanzadeh Elham , Asadpour Shiva 
Published: October 2023

Abstract:
Mesenchymal Stem Cells (MSCs) are being investigated as a treatment for a novel viral
disease owing to their immunomodulatory, anti-inflammatory, tissue repair and regeneration characteristics,
however, the exact processes are unknown. MSC therapy was found to be effective in lowering
immune system overactivation and increasing endogenous healing after SARS-CoV-2 infection
by improving the pulmonary microenvironment. Many studies on mesenchymal stem cells have been
undertaken concurrently, and we may help speed up the effectiveness of these studies by collecting
and statistically analyzing data from them. Based on clinical trial information found on clinicaltrials.
gov and on 16 November 2020, which includes 63 clinical trials in the field of patient treatment
with COVID-19 using MSCs, according to the trend of increasing studies in this field, and with the
help of meta-analysis studies, it is possible to hope that the promise of MSCs will one day be realized.
The potential therapeutic applications of MSCs for COVID-19 are investigated in this study.
The Clinical Significance and Prognostic Value of ALDH1 Expression in
Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis
Authors: Li Dong , Cao Yu , Luo Cheng-Wen , Zhang Li-ping , Zou Ying-Bo 
Published: October 2023

Background:
The results of the association between aldehyde dehydrogenase 1
(ALDH1) expression and prognosis of non-small cell lung cancer (NSCLC) are contradictory. We
conducted this meta-analysis to investigate the clinical significance and prognostic value of
ALDH1 in NSCLC.

Methods:
The databases PubMed, Web of Science, EMBASE, the Cochrane Library, Wanfang,
and CNKI were systematically queried to identify eligible studies. The retrieval time was from
database establishment to August 2023. We evaluated the correlation between ALDH1 expression
and clinical features of NSCLC by employing odds ratios (ORs) and 95% confidence intervals
(95% CIs). In addition, we used hazard ratios (HRs) and 95% CIs to evaluate the role of ALDH1
expression in the prognosis of NSCLC.

Results:
Our study included 21 literatures involving 2721 patients. The expression of ALDH1 in
NSCLC was higher than that in normal tissues (OR = 6.04, 95% CI: 1.25-29.27, P = 0.026). The
expression of ALDH1 was related to TNM stage (OR = 1.81, 95% CI: 1.06-3.09, P = 0.029), tumor
grade (OR = 0.29, 95% CI: 0.17-0.48, P < 0.0001), lymph node metastasis (OR = 2.60, 95%
CI: 1.52-4.45, P = 0001) and histological subtype (OR = 0.67, 95% CI: 0.52-0.86, P = 0.002). In
patients with NSCLC, we found that the over-expression of ALDH1 was significantly associated
with poor overall survival (OS) (HR = 1.44, 95% CI: 1.15-1.81, P = 0.002) and disease-free survival
(DFS) (HR = 1.74, 95% CI: 1.45-2.10, P < 0.0001).

Conclusion:
The expression of ALDH1 is closely associated with the clinicopathologic characteristics
and prognosis of NSCLC. ALDH1 may serve as a valuable clinical assessment tool and
prognostic predictor in NSCLC.
Non-nutritive Sweeteners: Weight Loss or Weight Gain?
Authors: Khalil Sarah , Haikal Yara , Aoun Antoine 
Published: October 2023

Abstract:
The consumption of non-nutritive sweeteners (NNS) is on the rise among different
populations. In parallel, the debate about their potential health benefits and risks remains inconclusive.
Numerous published studies elucidate the impact of NNS on general health, weight
control, and the risk of certain diseases. However, no definitive conclusions regarding the effect
of chronic NNS use on weight have been reached in humans. This review summarizes current
evidence related to the biological role of NNS and their subsequent effects on weight. The
mechanisms of action through which NNS impact weight are discussed, including their effect
on sweet taste receptors, cognition, metabolic and endocrine functions, intestinal microbiota,
and adiposity. Conflicting evidence is hindering the formulation of precise recommendations,
but the evidence opposing the use of NNS remains weak, and the ultimate impact on weight
largely relies on several other behavioral patterns.
IoT-based Ubiquitous Healthcare System with Intelligent Approach to an Epidemic
Authors: Mohapatra Subasis , Yesubabu Mannava , Sahoo Amlan , Mohanty Subhadarshini , Mohanty Sachi Nandan 
Published: October 2023

Background::The recent pandemic has shown its different shades across various solicitations, especially in the healthcare sector. It has a great impact on transforming the traditional healthcare architecture, which is based on the physical approaching model, into the modern or remote healthcare system. The remote healthcare approach is quite achievable now by utilizing multiple modern technological paradigms like AI, Cloud Computing, Feature Learning, the Internet of Things, etc. Accordingly, the pharmaceutical section is the most fascinating province to be inspected by medical experts in restoring the evolutionary healthcare approaches. COVID-19 has created chaos in the society for which many unexpected deaths occur due to delays in medication and the improper prognosis at an irreverent plan. As medical management applications have become ubiquitous in nature and technology-oriented, patient monitoring systems are getting more popular among medical actors.Method:The Internet of Things (IoT) has achieved the solution criteria for providing such a huge service across the globe at any time and in any place. A quite feasible and approachable framework has evolved through this work regarding hardware development and predictive patent analysis. The desired model illustrates various approaches to the development of a wearable sensor medium that will be directly attached to the body of the patients. These sensor mediums are mostly accountable for observing body parameters like blood pressure, heart rate, temperature, etc., and transmit these data to the cloud storage via various intermediate steps. The storage medium in the cloud will be storing the sensor-acquired data in a time-to-time manner for a detailed analysis. Further, the stored data will be normalized and processed across various predictive models.Results and Conclusion:The model with the best accuracy will be treated as the resultant model among the numerous predictive models deployed in the cloud. During the hardware development process, several hardware modules are discussed. After receiving sensor-acquired data, it will be processed by the cloud's multiple machine-learning models. Finally, thorough analytics will be developed based on a meticulous examination of the patients' cardinal, essential, and fundamental data and communicated to the appropriate physicians for action. This model will then be used for the data dissemination procedure, in which an alarm message will be issued to the appropriate authorities.
A Review of Ethnopharmacological Uses, Phytochemistry and Pharmacological Attributes of Mesua ferrea Linn.
Authors: Vijay Pahurkar Sayukta , Rikhabchand Surana Ajaykumar , Ramesh Pawar Pratiksha 
Published: October 2023

Abstract:
Ethnopharmacological relevance: Mesua ferrea Linn. belonging to family Guttiferae.
The plant widely grows in the hills and is planted in gardens in many parts of India. It is cultivated
as an ornamental plant because of its graceful shape, pink to red hanging leaves and enormous
wonderful, fragrant white blossoms. The current review summarizes different significant,
fundamental and medicinal properties of this Indian therapeutic herb. It is known to be an evergreen
tree 20-30 m in height. Along with its elaborate utilization, entire plant has different therapeutic
values in the conventional system of drugs. The main aim of this review is to provide a
brief overview of the pharmacological, phytochemical, pharmacognostic, ethanomedical and
toxicological studies of M. ferrea. A comprehensive review of the literature was conducted using
multiple search sites such as PubMed, Google Scholar, Springer, and Science Direct, Scopus,
Web of Science, SciFinder, etc. Other literary sources include Wikipedia, ethnobotanical books,
and botanical journals. Numerous phytochemicals have been discovered and isolated from
Mesua ferrea plant parts which include xanthones, terpenoids, sterol, β-amyrin, β-sitosterol,
mesuaferrol, mesuaferrin-A, mesuaferrin B, caloxanthone C,1,8-dihydro-3-methoxy-6-
methylanthraquinone, friedelin, fats, flavanoids and betulinic acid. All of the documented pharmacological
activities, such as antioxidant and antibacterial activity, antiarthritic, antiinflammatory,
antivenom, antiulcerogenic, anticonvulsant, wound healing, depressant, analgesic
are due to the presence of certain phytochemical substances. This review mainly targets the botanical
aspects of Mesua ferrea along with their phytochemical constituents, ethnomedicinal use,
different pharmacological activity, and future possibilities. Mesua ferrea is very important in the
traditional Indian system. More research is needed to uncover important features of Mesua ferrea
in medical practice.
SAR Target Recognition Method based on Adaptive Weighted Decision
Fusion of Deep Features
Authors: Su Xiaoguang 
Published: October 2023

Background:
This paper proposes a synthetic aperture radar (SAR) target recognition
method based on adaptive weighted decision fusion of multi-level deep features.

Methods:
The trained ResNet-18 is employed to extract multi-level deep features from SAR
images. Afterwards, based on the joint sparse representation (JSR) model, the multi-level deep
features are represented to obtain the corresponding reconstruction error vectors. Considering
the differences in the abilities of different levels of features to distinguish the target, the reconstruction
error vectors are analyzed based on entropy theory, and their corresponding weights
are adaptively obtained. Finally, the fused reconstruction error result is obtained through adaptively
weighted fusion, and the target label is determined accordingly.

Results:
Experiments are conducted on the Moving and Stationary Target Acquisition and
Recognition (MSTAR) dataset under different conditions, and the proposed method is compared
with published methods, including multi-feature decision fusion, JSR-based decision fusion and
other types of ResNets.

Conclusion:
The experimental results under standard operating condition (SOC) and extended
operating conditions (EOCs) including depression angle variance and noise corruption validate
the advantages of the proposed method.
Validation of Bioprinting Technique for Skin Equivalent Models
Authors: Brand Luiza Meurer , Lamers Marcelo Lazzaron , Matte Bibiana Franzen 
Published: October 2023

Background:
Skin pigmentation is a complex process; thus, skin equivalent methodologies
that can reproduce the main skin structures and pigmentation have been studied. To improve
the skin equivalent model, bioprinting technology has emerged, allowing for the reproduction of
the complex, functional, and personalized three-dimensional architecture of the skin.

Objective:
Our aim was to develop a skin equivalent model and a pigmented skin equivalent model
and compare the manually produced models with the bioprinted models.

Methods:
The study was conducted using fibroblasts, keratinocytes, and melanocytes cell lines with
a 3D cell culture technique, either through bioprinting or manual production. Additionally, the
bleaching potential of the model was evaluated by applying kojic acid.

Results:
It was observed that the bioprinted skin equivalent model demonstrated similar cell architecture
and gene expression compared to the manually produced model. A pigmented skin equivalent
model was developed and also bioprinted. The pigmented bioprinted skin equivalent model
exhibited similar pigmentation behavior and lightening potential as the manual model.

Conclusion:
We have validated the use of bioprinting for reproducing skin equivalent model and
cost-effective scaling of skin production.