bluuebunny/crossref_metadata_2025_split huggingface dataset:
Channel Estimation using Very Deep Super Resolution Network for Fast Fading Communication Systems
Authors: Manivannan Girievasan , P Jeyakumar , NM Tharanitharan , E Malar , P Muthuchidambaranathan 
Published: December 2022

Abstract
Many wireless systems currently use OFDM (Orthogonal Frequency Division Multiplexing), a frequency selective fading technique that achieves high data rates and spectrum efficiency.However, for high mobility communication and the use of higher carrier frequencies, temporal selectivity of fading is essential. In OFDM systems, accurate channel estimate is required for time and frequency selective fading.This research offers a novel method for addressing the problems associated with fast-fading channel estimation. The proposed very deep convolutional neural network uses interpolation, an image processing method, to offer a low resolution estimate of the input channel. The provided channel information is shown as a two-dimensional image. The main objective of the proposed research is to estimate unknown channel response values using pilot symbols. The suggested network conducts channel estimation using a Super Resolution network while treating the pilot data as a low-resolution image. The simulation results demonstrate that when compared to ChannelNet, the proposed very deep convolution neural network minimises MSE (Mean Squared Error) and has fewer parameters while producing equal results. The proposed model demonstrated a 14 to 40 perscent reduction in MSE when the SNR was 22dB. Similarly, a 5-7 percent decrease was seen when compared to current ChannelNet when SNR was 12 dB.
Introducing Hydroinformatics
Authors: Abbott Michael B. 
Published: December 2022

Abstract
Hydroinformatics is the name of a new way of applying knowledge as this knowledge is utilised in the worlds of the waters. This new way of applying knowledge, which is developing generally within our present-day societies, is concerned with ways to access and employ electronically encapsulated information, which itself becomes knowledge just to the extent that it is genuinely accessed and authentically employed. The knowledge of how to apply knowledge in the new way is thus itself a certain kind of ‘metaknowledge’.
Towards a hydroinformatics praxis in the service of social justice
Authors: Abbott M. B. , Vojinovic Z. 
Published: December 2022

Abstract
This paper introduces a new role for hydroinformatics in its sociotechnical environment. It introduces a novel and modern approach for dealing with flooding and other such destructive phenomena which have been increasing ever more rapidly throughout the world. By far the greatest toll from floods and flood-related disasters, however, is in the so-called “developing” world where the resources for dealing with such problems are either inadequate or non-existent, even as these are often subject to the interventions of corrupt behaviour and practices and their related dubious legal systems. The necessity of promoting the nature of the force that is required to overcome these negativities are identified as those provided by active stakeholder participation and this paper indicates how this force can be informed and motivated largely through projecting ultra-realistic dynamic and coloured illustrations within a collective social environment.
Engineered Bacteria: General Overview as Therapeutic Agent and a Novel
Drug Delivery System
Authors: Patil Prashant L. , Gharat Shivani K. , Jadhav Kisan R. , Kadam Vilasrao J. 
Published: December 2022

Abstract:
Bacterial engineering modifies bacteria's genomic sequence using genetic engineering
tools. These engineered bacteria can produce modified proteins, peptides, nucleic acids, and other
biomolecules that can be used to treat various medical conditions. Engineered bacteria can target
diseased tissues or organs, detect specific biomarkers in the diseased environment, and even induce
specific conditions. Furthermore, a meticulously designed intracellular metabolic pathway can activate
or inhibit the expression of related genes, synthesise biologically active therapeutic molecules,
and precisely deliver drug payloads to diseased tissues or organs. Lactococcus (L. lactis), Salmonella
(S. typhi), and E. coli (E. coli Nissle) are the most studied engineered microorganisms used as
drug carriers. These have been used in vaccines to treat multifactorial diseases such as cancer, autoimmune
diseases, metabolic diseases, and inflammatory conditions. Other promising strains include
Bifidobacterium animalis, Listeria monocytogenes, Staphylococcus epidermidis, Staphylococcus
lugdunensis, and Clostridium sporogenes. Despite the low reported risk, toxic effects associated
with bacterial cells, limiting their efficacy and rapid clearance due to immune responses stimulated
by high bacterial concentrations, remain major drawbacks. As a result, a better and more effective
method of drug delivery must be developed by combining bacterial-based therapies with other
available treatments, and more research in this area is also needed.
A Scoping New Revolution for Tinnitus Management: A Neuromonics
Narrative Review
Authors: Gupta Jitendra , Gupta Reena 
Published: December 2022

Abstract:
With a prevalence ranging from 16-21%, tinnitus is an irking neurological disorder, manifesting
as the perception of a roar of cacophony without an external acoustic stimulus. Although
tinnitus is a non-life-threatening symptom, tinnitus's negative repercussions, such as personality disturbances
and social withdrawal, are daunting concerns despite a gamut of conventional and emerging
treatment options. Tinnitus management is still a critical challenge that provides opportunities
for clinicians, ENT (Ear/eye, nose and throat) physicians, and other specialists such as audiologists,
psychiatrists, and psychologists. Among the new treatment modalities, Neuromonics tinnitus
treatment (NTT) draws special attention in tinnitus management due to its mounting success rate.
Nonetheless, unlike in developed countries like Australia, the United States, and the United Kingdom,
the scanty awareness of NTT among Indian ENT specialists is a titanic setback for care
providers. Because of this backdrop, this review emphasized the current perspectives on tinnitus
management and the underlying principles and clinical efficacy of NTT. The challenges for tinnitus
management can be met and reduced by suppressing tinnitus through motivation, counseling,
cochlear implant, and psychotherapy.
Neuroprotective Role of Quercetin against Alpha-Synuclein-Associated
Hallmarks in Parkinson’s Disease
Authors: Das Sabya Sachi , Jha Niraj Kumar , Jha Saurabh Kumar , Verma Priya Ranjan Prasad , Ashraf Ghulam Md , Singh Sandeep Kumar 
Published: December 2022

Abstract:
Quercetin, a natural antioxidant, exhibits potential neuroprotective effects by efficiently
downregulating α-synuclein protein aggregation and associated neurological hallmarks, responsible for
the progression of Parkinson’s Disease.
Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT
Angiography
Authors: Laidi Amel , Ammar Mohammed , Daho Mostafa El Habib , Mahmoudi Said 
Published: December 2022

Background:
Patients with atherosclerosis have a rather high risk of showing complications,
if not diagnosed quickly and efficiently.

Objective:
In this paper we aim to test and compare different pre-trained deep learning models, to find
the best model for atherosclerosis detection in coronary CT angiography.

Methods:
We experimented with different pre-trained deep learning models and fine-tuned each model
to achieve the best classification accuracy. We then used the Haar wavelet decomposition to improve
the model’s sensitivity.

Results:
We found that the Resnet101 architecture had the best performance with an accuracy of
95.2%, 60.8% sensitivity, and 90.48% PPV. Compared to the state of the art which uses a 3D CNN and
achieved 90.9% accuracy, 68.9% Sensitivity and 58.8% PPV, sensitivity was quite low. To improve
the sensitivity, we chose to use the Haar wavelet decomposition and trained the CNN model with the
module of the three details: Low_High, High_Low, and High_High. The best sensitivity reached 80%
with the CNN_KNN classifier.

Conclusions:
It is possible to perform atherosclerosis detection straight from CCTA images using a
pretrained Resnet101, which has good accuracy and PPV. The low sensitivity can be improved using
Haar wavelet decomposition and CNN-KNN classifier.
Preconcentration of Phenylalanine in Cheese and Yoghurt Using Deep
Eutectic Solvent and Determination by HPLC Technique
Authors: Shokrollahi Ardeshir , Karami Forough 
Published: December 2022

Background:
In the current research, a green, fast and cheap extraction method based on deep
eutectic solvent was developed for the preconcentration of phenylalanine. Then, high performance liquid
chromatography (HPLC) as a sensitive and accurate technique was used to determine amounts of preconcentrated
phenylalanine.

Objective:
The combination of the HPLC technique and extraction procedure using deep eutectic solvent
makes it possible to find a good procedure for the preconcentration of phenylalanine in different media
with acceptable precision and accuracy.

Methods:
Decanoic acid and tetrabuthylammonium bromide were used as the components of the green
solvent. Then, the synthesized green solvent was used for the preconcentration of phenylalanine. HPLC
equipped with a UV-VIS detector, a C18 column, a mixture of sodium dihydrogen phosphate 2-hydrate
(20 mM, pH 6.60)-ACN (70-30%) as the mobile phase, and the wavelength of 245 nm were selected as
the best separation.

Results:
The chief characteristic of deep eutectic solvent was identified using Fourier transform infrared
spectroscopy. Central composite design to evaluate the effects of preconcentration parameters showed
that the pH value of 6.31, salt concentration of 0.272 M, DES volume of 226 μL, and stirrer time of 5.60
min were suggested as the best conditions of separation. Total analysis time was 5.50 min.

Conclusion:
Validation of designed analysis exposed good linearity (0.015-1.50 μg/mL), suitable sensitivity,
excellent preconcentration (32.50) and enrichment (21.15) factors, acceptable relative standard
deviation (3.07%), and low amounts of detection limit (0.015 μg/mL). Finally, the designed method was
effectively used for the determination of phenylalanine in cheese and yoghurt with relative recoveries of
113.33 to 125.00% and 94.00 to 100.00%, respectively.
Carbon Dots Hybrid Nanostructure-based Electrochemical Sensors:
Applications in Determining Different Species in a Real Sample
Authors: Ferreira Joao A. , Name Luccas L. , Lieb Laura C. , Tiba Daniel Y. , da Silva Mariana M. , Oliveira Aprys C. , Canevari Thiago C. 
Published: December 2022

Abstract:
This overview describes the synthesis, characterization, and application of different
carbon dots hybrid nanostructures obtained by chemical interaction between nanomaterials or
nanomaterials bonded to another material, i.e. silicon (SiO2/Carbon dots-N), reduced graphene
oxide (rGO/Carbon dots), multiwalled carbon nanotubes (MWCNTs/Carbon dots), nano magnetite
(Carbon dots/Fe3O4), reduced graphene oxide and gold nanoparticles (rGO/Carbon
dots/AuNPs), copper oxide (CuO/Carbon dots), and Carbon dots/Metallic NPs that were employed
in the development of electrochemical (bio)sensors. The formation of different carbon
dots hybrid nanostructures has been characterized by X-ray diffraction (XRD), Raman and ultraviolet-
visible spectroscopy, atomic force microscopy (AFM), high-resolution transmission electron
microscopy (HR-TEM), and electrochemical techniques. These carbon dots hybrid
nanostructures have been used to modify the surface of glassy carbon and screen-printed electrodes
and to determine various analytes, i.e., dopamine, uric acid, paracetamol, ephynefrin,
dihydroxybenzenes, pesticides, endocrine disruptors, NADH, and other substances in real samples.
Comparison of the Efficacy of Honey and Clotrimazole Cream in the Vulvovaginal
Candidiasis Treatment: A Systematic Review and Metaanalysis
Authors: Mirghafourvand Mojgan , Mollazadeh-Narestan Zahra , Yavarikia Parisa , Mashayekh-Amiri Sepideh , Gholizadeh Pourya 
Published: December 2022

Background:
Vulvovaginal candidiasis (VVC) is a common fungal infection of the vaginal area affecting 75% of women at least once in their lifetime. However, there is no clear evidence helping to choose the most effective treatment method to improve the symptoms of VVC.

Objective:
The objective of this study was to compare the effect of using honey with clotrimazole on the treatment of symptoms of VVC.

Methods:
All databases in English (Embase, MEDLINE, ProQuest, Google Scholar, Scopus, Cochrane Library, and Web of Science) and Persian (Irandoc, SID, and Magiran) were searched without time limitation. Evaluation of studies in terms of bias was performed using the Cochrane handbook. Four clinical trials were included in the present systematic review; however, only three of them were included in the meta-analysis.

Results:
The results of the meta-analysis demonstrated that the rate of positive culture after treatment (RR: 2.35; 95%CI: 1.45 to 3.82) was significantly higher in the honey group than in the clotrimazole one. The frequency of itching after treatment (RR: 0.25, 95%CI: 0.12 to 0.49) was significantly lower in the honey-receiving group than in the clotrimazole one. However, there was no statistically significant difference in the incidence of other symptoms of VVC, including vaginal discharge (RR: 0.26, 95%CI: 0.02 to 2.75), vaginal burning (RR: 0.35, 95%CI: 0.03 to 3.80) and dyspareunia (RR: 0.64, 95%CI: 0.27 to 1.50) between groups.

Conclusion:
Due to the low quality of the studies, more clinical trial studies with stronger designs in this field are needed to clearly identify the therapeutic effects of honey on improving the symptoms of VVC.
A 16 Epithelia-mesenchymal Transition Associated LncRNAs Signature to Optimize Prognosis Predication of Stomach Adenocarcinoma
Authors: Yan Yanhua , He Xinru , Chen Yanfen , Huang Yuancheng , Jiang Xiaotao , Zheng Junhui , Chen Xu 
Published: December 2022

Aim:
The study aimed to identify critical long non-coding RNAs (lncRNAs) and constructed a prognostic signature to optimize prognosis predication of patients with Stomach Adenocarcinoma (STAD).

Background:
STAD is a common malignant tumor with a high metastasis rate and low survival rate. LncRNAs participate in the regulation process of epithelial-mesenchymal transition (EMT) and the development of STAD.

Methods:
RNAseq data were obtained from TCGA-STAD, while 200 EMT-associated genes (EAGs) from the ‘HALLMARK_EPITHELIAL_MESENCHYMA-L _TRANSITION’ gene set. Differentially expressed EAGs and EMT-associated lncRNAs (EALs) were identified. Moreover, Lasso-Cox regression analysis was used to construct a signature of differentially expressed EALs, and univariate and multivariate analyses, Kaplan-Meier analysis, receiver operating characteristic curve (ROC) analysis, and nomogram were conducted to predict its prognostic value. An enrichment functional analysis was performed. Quantitative Real-Time PCR (qRT-PCR) was used to determine lncRNAs expressions in cell lines.

Results:
A total of 52 differentially expressed EAGs and 320 EALs were identified in this study. Meanwhile, 16 EALs were used to construct the signature, and further analysis indicated that it had a high prognostic value for STAD patients. Enrichment functional analysis revealed the signature was correlated to tumor immunity in STAD. Moreover, three novel EALs expressions were confirmed in cell lines.

Conclusion:
A novel survival signature was established to predict and evaluate the prognosis of STAD patients.
Outcomes of Paediatric Cataract Surgery in Southern Jordan
Authors: Al-Zubi Khalid , Sarayrah Fawaz , Khasawneh Mahmoud 
Published: December 2022

Background:
Congenital cataract is the leading global cause of preventable childhood blindness, and the onset of infantile and congenital cataracts is rare. Managing congenital cataracts is still challenging due to associated complications.

Objective:
This study aimed to assess the outcomes of congenital cataract surgery with intraocular lens implantation in southern Jordan.

Methods:
A retrospective case series included 20 children with congenital cataracts who underwent lensectomy, aged between 1 to 5 years, recruited using a purposive sampling technique. The mean age was 2.9 years ± 1.4. Intraocular pressure was measured preoperatively at baseline and then every three months, followed up postoperatively until one year. Schiotz tonometer is used to measure intraocular pressure.

Results:
The distribution of IOP and change in IOP values at baseline and post-operative follow-ups showed statistically significantly higher IOP values at three months of follow-up (P=0.03) and the last follow-up visit at 12 months (P=0.001). The results showed a statistically significant increase from baseline in the IOP of the unilateral cataract eye compared to its normal fellow eye (P=0.028). The post-operative evaluation showed that 14 patients demonstrated twenty-seven post-operative complications. Four eyes (14.2%) with posterior synechiae, 2 (7.1%) with anterior synechiae, 3 (10.7%) with decentration of IOL, 8 (28.6%) with pigment on IOL, 3 (10.7%) with transient corneal oedema and 7 (25%) developed post-operative glaucoma.

Conclusion:
We concluded that post-operative follow-up of one year in pediatric patients treated with congenital cataract surgery showed a significant increase in intraocular pressure.
The Role of Heterogenous Real-world Data for Dengue Surveillance in Martinique: Observational Retrospective Study
Authors: Sylvestre Emmanuelle , Cécilia-Joseph Elsa , Bouzillé Guillaume , Najioullah Fatiha , Etienne Manuel , Malouines Fabrice , Rosine Jacques , Julié Sandrine , Cabié André , Cuggia Marc 
Published: December 2022

Background
Traditionally, dengue prevention and control rely on vector control programs and reporting of symptomatic cases to a central health agency. However, case reporting is often delayed, and the true burden of dengue disease is often underestimated. Moreover, some countries do not have routine control measures for vector control. Therefore, researchers are constantly assessing novel data sources to improve traditional surveillance systems. These studies are mostly carried out in big territories and rarely in smaller endemic regions, such as Martinique and the Lesser Antilles.

Objective
The aim of this study was to determine whether heterogeneous real-world data sources could help reduce reporting delays and improve dengue monitoring in Martinique island, a small endemic region.

Methods
Heterogenous data sources (hospitalization data, entomological data, and Google Trends) and dengue surveillance reports for the last 14 years (January 2007 to February 2021) were analyzed to identify associations with dengue outbreaks and their time lags.

Results
The dengue hospitalization rate was the variable most strongly correlated with the increase in dengue positivity rate by real-time reverse transcription polymerase chain reaction (Pearson correlation coefficient=0.70) with a time lag of −3 weeks. Weekly entomological interventions were also correlated with the increase in dengue positivity rate by real-time reverse transcription polymerase chain reaction (Pearson correlation coefficient=0.59) with a time lag of −2 weeks. The most correlated query from Google Trends was the “Dengue” topic restricted to the Martinique region (Pearson correlation coefficient=0.637) with a time lag of −3 weeks.

Conclusions
Real-word data are valuable data sources for dengue surveillance in smaller territories. Many of these sources precede the increase in dengue cases by several weeks, and therefore can help to improve the ability of traditional surveillance systems to provide an early response in dengue outbreaks. All these sources should be better integrated to improve the early response to dengue outbreaks and vector-borne diseases in smaller endemic territories.
Web-Based Service Provision of HIV, Viral Hepatitis, and Sexually Transmitted Infection Prevention, Testing, Linkage, and Treatment for Key Populations: Systematic Review and Meta-analysis
Authors: Yeh Ping Teresa , Kennedy Caitlin Elizabeth , Minamitani Ayako , Baggaley Rachel , Shah Purvi , Verster Annette , Luhmann Niklas , de Mello Maeve Brito , Macdonald Virginia 
Published: December 2022

Background
Despite the growth of web-based interventions for HIV, viral hepatitis (VH), and sexually transmitted infections (STIs) for key populations, the evidence for the effectiveness of these interventions has not been reported.

Objective
This study aimed to inform the World Health Organization guidelines for HIV, VH, and STI prevention, diagnosis, and treatment services for key populations by systematically reviewing the effectiveness, values and preferences, and costs of web-based outreach, web-based case management, and targeted web-based health information for key populations (men who have sex with men, sex workers, people who inject drugs, trans and gender-diverse people, and people in prisons and other closed settings).

Methods
We searched CINAHL, PsycINFO, PubMed, and Embase in May 2021 for peer-reviewed studies; screened abstracts; and extracted data in duplicate. The effectiveness review included randomized controlled trials (RCTs) and observational studies. We assessed the risk of bias using the Cochrane Collaboration tool for RCTs and the Evidence Project and Risk of Bias in Non-randomized Studies of Interventions tools for non-RCTs. Values and preferences and cost data were summarized descriptively.

Results
Of 2711 records identified, we included 13 (0.48%) articles in the effectiveness review (3/13, 23% for web-based outreach; 7/13, 54% for web-based case management; and 3/13, 23% for targeted web-based health information), 15 (0.55%) articles in the values and preferences review, and 1 (0.04%) article in the costs review. Nearly all studies were conducted among men who have sex with men in the United States. These articles provided evidence that web-based approaches are as effective as face-to-face services in terms of reaching new people, use of HIV, VH, and STI prevention services, and linkage to and retention in HIV care. A meta-analysis of 2 RCTs among men who have sex with men in China found increased HIV testing after web-based outreach (relative risk 1.39, 95% CI 1.21-1.60). Among men who have sex with men in the United States, such interventions were considered feasible and acceptable. One cost study among Canadian men who have sex with men found that syphilis testing campaign advertisements had the lowest cost-per-click ratio on hookup platforms compared with more traditional social media platforms.

Conclusions
Web-based services for HIV, VH, and STIs may be a feasible and acceptable approach to expanding services to key populations with similar outcomes as standard of care, but more research is needed in low-resource settings, among key populations other than men who have sex with men, and for infections other than HIV (ie, VH and STIs).