bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulated annealing algorithm optimized GRU neural network for urban rainfall-inundation prediction
Authors: Yan Ying , Zhang Wenting , Liu Yongzhi , Li Zhixuan 
Published: May 2023

Abstract

In the context of global climate change and the continuous development of urban areas, rainfall-inundation modeling is a common approach that provides critical support for the protection and early warning of urban waterlogging protection. The present study conducts a data-driven model for hourly urban rainfall-inundation depth prediction, which is based on a gated recurrent unit (GRU) neural network and uses the simulated annealing (SA) algorithm for the hyperparameter optimization of GRU, namely the SA-GRU model. To verify the performance of the proposed model, backpropagation, long short-term memory (LSTM), and bidirectional LSTM (BiLSTM) neural networks are set as benchmarks. Results show that the SA-GRU has high accuracy in the case of short-term inundation prediction, with the Nash–Sutcliffe efficiency from 0.999 to 0.596 for the 1-h-ahead to 8-h-ahead predictions. And further research reveals that the SA-GRU integrates the significant optimization of SA, with an average 20% reduction of the root mean square error within the first eight prediction periods, and the efficient training speed of GRU, with 23.7% faster than LSTM and 44.2% faster than BiLSTM. In conclusion, the SA-GRU excels in urban inundation prediction, demonstrating its value in flood management and decision-making.
Seasonal precipitation forecasting for water management in the Kosi Basin, India using large-scale climate predictors
Authors: Dhillon Manjeet Singh , Sharif Mohammed , Madsen Henrik , Jakobsen Flemming 
Published: May 2023

AbstractA novel approach for qualitative seasonal forecast of precipitation at a basin scale is presented as significant enhancement in seasonal forecast at regional and country scales in India. The process utilizes empirical and typically lagged relationships between target variables of interest, namely precipitation at the basin level and various large-scale climate predictors (LSCPs). A total of 14 LSCPs have been considered for the seasonal forecast of precipitation with lead times of 1, 2, and 3 months in the Kosi Basin, India. Random split training and testing were conducted on seven machine-learning (ML) models using a potential predictor dataset for model selection. The Logistic Regression (LR) model was adopted since it had the highest mean accuracy score compared to the remaining six ML models. The LR model has been optimized by testing it on all possible combinations of potential predictors using Leave-One-Out Cross-Validation (CV) scheme. The resulting Seasonal Prediction Model (SPM) provides the probability of each tercile categorized as Above Normal (AN), Normal (N), and Below Normal (BN). The model has been evaluated using various metrics.
Heterologous Expression and Function of Cholesterol Oxidase: A Review
Authors: Cui Haoran , Shahrajabian Mohamad Hesam , Kuang Yue , Zhang Hai Yan , Sun Wenli 
Published: May 2023

Abstract:
Cholesterol was first found in gallstones as an animal sterol; hence it is called cholesterol.
Cholesterol oxidase is the chief enzyme in the process of cholesterol degradation. Its role is obtained
by the coenzyme FAD, which catalyzes the isomerization and oxidation of cholesterol to produce
cholesteric 4-ene-3-ketone and hydrogen peroxide at the same time. Recently, a great advance has
been made in the discovery of the structure and function of cholesterol oxidase, and it has proven
added value in clinical discovery, medical care, food and biopesticides development and other
conditions. By recombinant DNA technology, we can insert the gene in the heterologous host.
Heterologous expression (HE) is a successful methodology to produce enzymes for function studies
and manufacturing applications, where Escherichia coli has been extensively used as a heterologous
host because of its economical cultivation, rapid growth, and efficiency in offering exogenous genes.
Heterologous expression of cholesterol oxidase has been considered for several microbial sources,
such as Rhodococcus equi, Brevibacterium sp., Rhodococcus sp., Streptomyces coelicolor,
Burkholderia cepacia ST-200, Chromobacterium, and Streptomyces spp. All related publications of
numerous researchers and scholars were searched in ScienceDirect, Scopus, PubMed, and Google
Scholar. In this article, the present situation and promotion of heterologous expression of cholesterol
oxidase, the role of protease, and the perspective of its possible applications were reviewed.
Drug Delivery Systems based on Microneedles for Dermatological
Diseases and Aesthetic Enhancement
Authors: Vergilio Mariane Massufero , Birchall James Caradoc , Lima Lonetá Lauro , Rezende Rodrigo Alvarenga , Leonardi Gislaine Ricci 
Published: May 2023

Abstract:
Microneedle (MN) devices comprise of micron-sized structures that circumvent
biological barriers in a minimally invasive manner. MN research continues to grow
and evolve; the technology was recently identified as one of the top ten overall emerging
technologies of 2020. There is a growing interest in using such devices in cosmetology
and dermatological conditions where the MNs mechanically disrupt the outer skin barrier
layer, creating transient pathways that allow the passage of materials to underlying skin
layers. This review aims to appraise the application of microneedle technologies in skin
science, provide information on potential clinical benefits, as well as indicate possible
dermatological conditions that can benefit from this technology, including autoimmunemediated
inflammatory skin diseases, skin aging, hyperpigmentation, and skin tumors. A
literature review was carried out to select studies that evaluated the use of microneedles
to enhance drug delivery for dermatologic purposes. MN patches create temporary pathways
that allow the passage of therapeutic material to deeper layers of the skin. Given
their demonstrable promise in therapeutic applications it will be essential for healthcare
professionals to engage with these new delivery systems as they transition to the clinic.
Weapons and Strategies against COVID-19: A Perspective
Authors: Mishra Raghav , Chaudhary Kajal , Mishra Isha 
Published: May 2023

Abstract:
Currently, there are no approved treatments for the fatal infectious coronavirus disease.
The process of identifying new applications for approved pharmaceuticals is called drug repurposing.
It is a very successful strategy for drug development as it takes less time and cost to uncover a
therapeutic agent than the de novo procedure. Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) is the seventh coronavirus that has been identified as a causative agent in humans.
SARS-CoV-2 has been recorded in 213 countries, with over 31 million confirmed cases and an
estimated death rate of 3%. Medication repositioning may indeed be regarded as a unique therapeutic
option for COVID-19 in the present situation. There are various drugs and techniques,
which are being used to treat the symptoms of COVID-19. These agents are directed against the
viral replication cycle, viral entrance, and viral translocation to the nucleus. Additionally, some
can boost the innate antiviral immune response. Drug repurposing is a sensible method and could
be a vital approach to treat COVID-19. Combining some of the drugs or supplements with an immunomodulatory
diet, psychological assistance, and adherence to standards can ultimately act
against COVID-19. A better knowledge of the virus itself and its enzymes will enable the development
of more precise and efficient direct-acting antivirals. The primary aim of this review is to
present the various aspects of this disease, including various strategies against COVID-19.
Imagine Yourself Dancing Waltz: The Effect of Imagination on Memory in Alzheimer’s Disease
Authors: El Haj Mohamad , Robin Frédérique , Moustafa Ahmed A. , Gallouj Karim 
Published: May 2023

Background:
Self-imagination refers to a mnemonic strategy of imagining oneself at a scene related to a cue.

Objective:
We tested the effect of self-imagination on memory recall in Alzheimer’s disease (AD).

Method:
Individuals with AD and healthy controls were invited to perform two conditions. In the control (i.e., semantic elaboration) condition, participants were asked to define to which semantic category
(e.g., dance) words (e.g., waltz) belong. However, in a self-imagining condition, participants were
asked to imagine themselves in a scene related to the stimuli (e.g., dancing waltz). Both conditions
were followed by two free memory tests with two different intervals (20 seconds vs. 20 minutes).

Results:
Analysis showed a beneficial effect of self-imagination for the 20-second but not for the 20-
minute recall in AD participants and controls.

Conclusion:
Clinicians can incorporate our findings when assessing, especially when trying to rehabilitate, episodic memory in AD.
Computed Tomographic Evaluation of Congenital Left Ventricular
Outflow Obstruction
Authors: Kumar Parveen , Bhatia Mona , Arora Natisha 
Published: May 2023

Abstract:
Congenital left ventricular outflow obstruction represents a multilevel obstruction with
several morphological forms. It can involve the subvalvular, valvar, or supravalvular portion of the
aortic valve complex, and may coexist. Computed tomography (CT) plays an important supplementary
role in the evaluation of patients with congenital LVOT obstruction. Unlike transthoracic
echocardiography and cardiovascular magnetic resonance (CMR) imaging, it is not bounded by a
small acoustic window, needs for anaesthesia or sedation, and metallic devices. Current generations
of CT scanners with excellent spatial and temporal resolution, high pitch scanning, wide detector
system, dose reduction algorithms, and advanced 3-dimensional postprocessing techniques
provide a high-quality alternative to CMR or diagnostic cardiac catheterization. Radiologists performing
CT in young children should be familiar with the advantages and disadvantages of CT and
with the typical morphological imaging features of congenital left ventricular outflow obstruction.
Evaluation of Antibacterial and Antibiofilm Activities of Fennel Seed Extract
Against Methicillin-resistant Staphylococcus aureus
Authors: Sahu Ashish , Parai Debaprasad , Ram Choudhary Hari , Singh Desh Deepak 
Published: May 2023

Background:
Antimicrobial resistance against pathogenic bacterial strains is the current
problem faced by the world. Medicinal plants are being focussed for new alternatives to routine
antibiotics for novel therapeutic and antimicrobial approaches.

Objective:
In this present study, fennel extract from Foeniculum vulgare plant was investigated
against methicillin-resistant Staphylococcus aureus (MRSA).

Method:
Ethanol extraction of fennel seeds was performed and minimum inhibitory concentration
(MIC), minimum bactericidal concentration (MBC), and time-kill curve was studied to find antimicrobial
activities. Biofilm eradication was estimated by crystal violet assay.

Result:
Antimicrobial study showed a MIC of 500 μg/ml and MBC of 1000 μg/ml for fennel extract.
Sub-inhibitory concentrations (½ MIC and ¾ MIC) started to kill bacterial cells after the addition
of fennel extract at mid-log phase of growth. Test phytochemical eradicated 38.7%, 62.2%, and
76.9% of MRSA biofilm from microtitre plate when added at a concentration of 250 μg/ml, 375
μg/ml and 500 μg/ml, respectively.

Conclusion:
This study showed different bactericidal and antibiofilm activity of fennel seed extract
against MRSA. We suggested that the phytocompound could be a promising candidate and further
investigation is needed to isolate the active component of the extract for the management of MRSA.
Prevalence of COVID-19 Among 8000 Patients at a Hospitalized and
Mortality in Old Age
Authors: de Godoy Maria Regina Pereira , Salomão Maria Lucia Machado , Queiroz Flavia , de Godoy Jose Maria Pereira 
Published: May 2023

Background:
COVID-19 created a general challenge to healthcare systems throughout
the world and was an important cause of mortality.

Aim:
The aim of the present study was to report the general evolution of patients with COVID-19
at a teaching hospital and analyze differences by age group and sex considering mortality rates in
the years 2020 and 2021 among patients older than 60 years of age.

Methods:
A cross-sectional study was conducted with patients hospitalized with a diagnosis of
COVID-19 confirmed by RT-PCR at the São Jose do Rio Preto university hospital between March
2020 and March 2022. The patients were male and female patients, of varying ages belonging to
the region of Sao Jose do Rio Preto, were accommodated in the wards or intensive care units
(ICUs). Overall mortality was analyzed for the hospital as well as in the ICUs and wards. This
analysis was performed separately in two years considering age group, sex, and main comorbidities
in patients older than 60 years of age.

Results:
A total of 8032 patients with COVID-19 were hospitalized between March 2020 and
March 2022: 2866 patients with 658 deaths (22.92%) in 2020; 4324 patients with 1168 deaths
(27.01%) in 2021; and 842 patients with 205 deaths (24.35 %) in 2022 up to the month of March.
More than half (53.60%) of the patients were hospitalized in the ICUs and 46.39% were hospitalized
in the wards. Differences in the mortality rate were found for the different age groups in the
comparison of the years, with more deaths occurring among individuals up to 90 years of age in the
second year (p <0.05). Men were affected more and had a higher mortality rate (p <0.0001). The
main comorbidities were cardiovascular disease (70.93%), diabetes (37.76%), and obesity
(23.68%).

Conclusions:
The mortality rate of older people hospitalized with COVID-19 was higher than the
average, it was higher in 2021 compared to 2020 and increased with age. Cardiovascular disease,
diabetes, and obesity were the main comorbidities.
Crowd-sourced AI based Indoor Localization using Support Vector
Regression and Pedestrian Dead Reckoning
Authors: Nagaraju Thandu , Rathinam Murugeswari 
Published: May 2023

Aims and Background:
Artificial intelligence (AI) is expanding in the market daily to assist
humans in a variety of ways. However, as these models are expensive, there is still a gap in the
availability of AI products to the common public with high component dependency.

Objective and Methodology:
To address the issue of additional component dependency on AI products,
we propose a model that can use available Smartphone resources to perceive real-world huddles
and assist ordinary people with their daily needs. The proposed AI model is to predict the user’s indoor
position (Node) at the computer science and engineering block of CMR Institute of Technology
(CMRIT) by using Smartphone sensors and wireless signals. We used SVR to predict the regular walk
steps needed between two Nodes and Pedestrian Dead Reckoning (PDR) to predict the walk steps
needed while the signal was lost in the indoor environment.

Results:
The Support vector regression (SVR) models make the locations to be available within the
specified building boundaries for proper guidance. The PDR approach supports the user while signal
loss between two Received Signal Strength Indicators (RSSI). The Pedestrian dead reckoning - Support
Vector Regression (PD-SVR) results are showing 98% accuracy in NODE predictions with routing
tables. The indoor positioning is 100% accurate with dynamic crowd-sourcing Node preparation.

Conclusion:
The results are compared with other indoor navigation models K-nearest neighbor
(KNN) and DF-SVM are given 95% accurate NODE estimation with minimal need for network components.
Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study
Authors: Pigat Sandrine , Soshina Mariya , Berezhnaya Yulia , Kryzhanovskaya Ekaterina 
Published: May 2023

Background
Data on dietary intakes in Russian adults and children are assessed very infrequently primarily due to the time, cost, and burden to the participants for assessing dietary patterns. To overcome some of those challenges, the use of web-based 24-hour recall methods can be successfully used.

Objective
The study objective is to assess the extent of agreement between a self-administered and an interviewer-administered 24-hour dietary recall in Russian adults and school-aged children using an adaptation of a web-based 24-hour recall tool.

Methods
This web-based dietary assessment tool is based on a previously validated tool, which has been adapted to the Russian diet and language. A randomized 50% (n=97) of 194 participants initially completed a self-administered web-based dietary recall, followed by an interviewer-administered 24-hour dietary recall later that same day, and vice versa for the other 50% (n=97) of participants. Following at least 1 week wash-out period, during visit 2, participant groups completed the 2 dietary recalls in the opposite order. Statistical analysis was carried out on the intake results from both methods for the 2 recalls. Finally, an evaluation questionnaire on ease-of-use of the tool was also completed.

Results
In total, intakes of 28 nutrients and energy were analyzed in this study. The Bland-Altman analysis showed that between 98.4% and 90.5% of data points were within the limits of agreement among all age groups and nutrients analyzed. A “moderate to excellent” reliability between the 2 methods was observed in younger children. In older children, a “moderate to good” reliability was observed, with the exception of sodium. In adults, “moderate to excellent” reliability between both methods was observed with the exception of vitamins B1, B2, and B6, and pantothenic acid. The level of agreement between the categorization of estimates into thirds of the intake distribution for the average of the 2 days was satisfactory, since the percentages of participants categorized into the same tertile of intake were ˃50%, and the percentages of participants categorized into the opposite tertile of intake were <10%. The majority of respondents were very positive in their evaluation of the web-based dietary assessment tool.

Conclusions
Overall, the web-based dietary assessment tool performs well when compared with a face-to-face, interviewer-administered 24-hour dietary recall and provides comparable estimates of energy and nutrient intakes in Russian adults and children.

Trial Registration
ClinicalTrials.gov NCT04372160; https://clinicaltrials.gov/ct2/show/NCT04372160
IMPLEMENTASI SISTEM AGROFORESTRI SEBAGAI UPAYA PENINGKATAN EKONOMI DAN PENCEGAHAN EROSI DI DESA TEBA LIOKH KECAMATAN BATU BRAK KABUPATEN LAMPUNG BARAT
Authors: Wardani Yulia Kusuma , Lestari Nur Indah , Pratama Rinaldo Adi , Oktarlina Razmi Zakiah , Utama Winda Trijayanthi , Syarif Admi , Mona Frada Setia , Legowo Ahmad Bambang , Putri Shabrina Aisha , Rahmatullah Muhammad Rayza , Imanuella Arcefrida , Juwita Kiki , Anasta Muhammad Daffa 
Published: May 2023

Permasalahan lingkungan banyak terjadi terutama berasal dari daerah pegunungan yang memiliki kemiringan yang curam seperti erosi. Erosi memberikan dampak buruk hingga menyebabkan penurunan produktivitas lahan yang menyebabkan pendapatan berkurang. Program ini bertujuan untuk mengenalkan sistem penanaman yang lebih baik yaitu sistem agroforestri yang mengoptimalkan hasil bentuk penggunaan lahan yang berkelanjutan yang dapat menjamin dan meningkatkan kebutuhan pangan ataupun ekonomi masyarakat serta dapat menjaga lingkungannya. Metode dalam pengenalan sistem agroforestri ini yaitu menggunakan metode observasi, wawancara, dan deskriptif yang dilaksanakan di Desa Teba Liokh. Program ini juga bekerja sama dengan instansi lain seperti YABI (Yayasan Badak Indonesia) dengan tujuan untuk menjaga hutan tetap lestari melalui desa penyangga salah satunya dengan menerapkan sistem agroforestri. Sistem agroforestri ini menjadi solusi dalam peningkatan ekonomi dan menjaga hutan tetap lestari terutama dalam konservasi tanah dan air. Dalam sistem agroforestri memanfaatkan tanaman MPTS sebagai tajuk tinggi yang dapat dimanfaatkan mulai dari buah, biji, daun, hingga batang. Pemanfaatan tanaman MPTS diharapkan dapat mengurangi adanya deforestasi di daerah penyangga yang berbatasan secara langsung dengan hutan konservasi yaitu Taman Nasional Bukit Barisan Selatan.
Aplikasi Pengembangan Kemampuan Motorik Bagi Guru-Guru Di Kecamatan Sungai Limau Kabupaten Padang Pariaman
Authors: Nuridin Widya Pranoto  , Sri Gusti Handayani  
Published: May 2023

Pembelajaran motorik yang dilakukan kurang efektif, pengemangan fisik motorik belum dioptimalkan karena guru kesulitan mencari pembelajaran yang efektif, pengemangan keterampilan motorik belum mendapat perhatian yang memadai maka perlu dilakukan penyuluhan dan pelatihan kepada khlayak sasaran antara yang strategis.Rendahnya kemampuan guru olahraga dalam membuat pembelajaran motorik yang kurang efektif membuat proses belajar mengajar menjadi bosan. Kemudian rendahnya kemampuan guru olahraga dalam mengoptimalkan pembelajaran motorik serta kurangnya pemahaman guru olahraga akan aktivitas motorik, sehingga diperlukan metode khusus dalam membuat suatu terobosan yang dapat meningkatkan kualitas belajar mengajar.
Pengabdian kepada Masyarakat ini adalah dalam bentuk penerapan IPTEKS dengan melibatkan berbagai komponen terutama keikutsertaan para mahasiswa serta para tenaga edukatif , tujuan yang ingin dicapai adalah :1. Untuk mengembangakan kemampuan motorik peserta didik. 2.Memberikan gambaran pembelajaran motorik yang efektif. 3. Mengoptimalkan pembelajaran motorik. Kegiatan ini dirancang sebaik mungkin dan dilaksanakan sesuai dengan jadwal secara profesional sehingga diharapkan dapat bermanfaat oleh Guru agar mendapatkan bentuk- bentuk pembelajaran pengembangan motorik, dan Siswa agar dapat mengembangkan kemampuan motoriknya. khalayak sasaran antara yang strategis adalah para guru dan siswa sebanyak 30 orang
Upaya yang dilakukan adalah dengan memberikan sejumlah materi sekaligus mempraktekkan pengembangan kemampuan motorik yang relevan sesuai dengan masalah yang ada. Pengabdian Pengembangan Kemampuan Motorik Bagi guru-guru memberikan gambaran pembelajaran motorik yang efektif, meningkatkan pengetahuan guru akan motorik, dan dapat meningkatkan kemampuan guru-guru dalam melaksanakan kegiatan pembelajaran.