bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on the seasonal distribution of mosquito vectors and a multidimensional approach towards their eradication using perception surveys on mobile software with concepts of AI among college students in Purba Bardhaman, India
Authors: Goswami Bishnu , Pal Sarmila 
Published: April 2022

Abstract
Combating vector-borne diseases requires a multidisciplinary approach for best results. Here we undertook field surveys in the potential mosquito breeding habitats in a rapidly urbanizing rural region in West Bengal, India. Secondly, we measured the knowledge about the mosquito vectors from students of a local college and we introduced a multilingual mobile software application “Mosa Nirmul” (EradicationOfMosquitoes) with an AI and game element and measured their perception and future scopes.
The seasonal survey about the possible breeding grounds of mosquitoes revealed the presence of the larva of all three common genera of disease carrying mosquitoes Aedes , Culex and Anopheles . The presence was noted in a various types water and garbage sources. Their prevalence was found to be the highest in the post-monsoon season. In the second study, the college students demonstrated reasonably competent knowledge about the basics of protection against mosquitoes, but the score was lower when the questions were about the breeding grounds of mosquitoes. In the third study, the software application was received on the positive side, with a mean score of 3.98/5.. The AI module was also understood by many with about half of them were confident to collect data by themselves for related projects, with a score of mean score of 3.56.
The surveys showed that mosquito vectors are still a threat in rural areas. However, with the positive results from the usage of the app, existing baseline knowledge, and willingness to adopt modern technologies, many factors looked promising for the future.
Brain Tumor Classification from MRI using Vision Transformers Ensembling
Authors: Tummala Sudhakar 
Published: April 2022

Abstract
Automated classification of brain tumors plays an important role in supporting radiologists in decision making. Recently, Vision Transformer (ViT) based deep neural network architectures have gained attention in the computer vision research domain owing to the tremendous success of transformer models in natural language processing. However, studies involving vision transformers for various tasks in the medical imaging domain, including in the field of neuroimaging, are still growing. Many methods have been developed for the classification of brain tumors using traditional machine learning and deep learning methods. In particular, there are several convolutional neural network based transfer learning approaches for achieving good tumor classification accuracy. In this study, pretrained and finetuned ViT models on the ImageNet were adopted for the classification task. A brain tumor dataset from figshare consisting of 3064 T1-weighted contrast-enhanced (CE) magnetic resonance imaging (MRI) slices with meningioma, glioma, and pituitary tumor was used for cross-validation and testing of ensembled ViT models ability for 3-class classification task. The ensemble of all four ViT models B/16, B/32, L/16, and L/32, has demonstrated an overall testing accuracy of 98.7% at 384 × 384 resolution. Therefore, an ensemble of ViT models could be deployed for the computer-aided diagnosis of brain tumors based on T1w CE MRI leading to radiologist relief.
Impact of seasonal urban greening variability on land surface temperature in Benin (West Africa).
Authors: Alexis Akakpo Bokon , Appollonia Okhimamhe A. , Vincent Orekan A.O. 
Published: April 2022

Abstract
Urban greening quantification and seasonal variation impact for surface temperature mitigation have been poorly understood and monitored in Benin. We have attempted to assess of season variability of normalized difference vegetation index (NDVI) using Landsat 7 and 8 data to get more accurate information about the vegetation tendency and effects on urban surface temperature mitigation. Monthly satellite derived NDVI series were collected using Google Earth Engine open-source while observed surface temperature were obtained at National Agency of Meteorology in Benin. We performed Mann-Kendall trend test to assess the significance of the trend chats. ANOVA followed by SNK test was applied to examine seasonal variation on NDVI significance. Likewise, a simple linear regression was applied to show the relationship between surface temperature and NDVI variables. No significant linear trends (p-values > 0.05) were observed for annual vegetation index (NDVI) and surface temperature. The NDVI tendency decreased from 2000 to around 2011 and started to increase up to 2020. However significant difference (P-Value < 0.001) between seasons was found for the mean NDVI and January-March period showed the lowest values of mean NDVI. Despite the negative relationship between annual mean land surface temperature (LST) and NDVI, the dry seasons showed a positive correlation in each city. Thereby, judicious urban management of water availability such as greenery irrigation would be more helpful for ensuring the sustainable urban surface temperature mitigation.
Low-carbon Innovation, Economic Growth and CO2 Emissions: Evidence from a Dynamic Spatial Panel Approach in China
Authors: Zhou Yu , Zhang Caijiang , Li Zhangwen 
Published: April 2022

Abstract
Low-carbon innovation plays an essential role in carbon reduction worldwide. This study investigates the nexus between low-carbon innovation, economic growth, and carbon emissions by the dynamic spatial Durbin model from 2007 to 2019, along with environmental policy, energy structure, industrial structure, foreign direct investment, energy intensity, and population density as the control variables. First, the results show that provincial agglomeration of carbon emissions exists. High emission provinces concentrate in major economic zones and energy extraction areas. Second, the effect decomposition results show that long-term and short-term effects are consistent. Low-carbon innovation has a significant mitigation effect on carbon emissions in local regions, which effect, however, is not significant in the adjacent areas. The environmental Kuznets curve hypothesis is validated locally, but all provinces and cities have not reached the inflection point of the environmental Kuznets curve, and the linkage effect in adjacent regions remains insignificant. There is both a direct local abatement effect and a demonstration effect in environmental policy. Third, the heterogeneity test results show that there are synergies between environmental policies and low carbon innovation, and for regulated pilot areas, there is a higher mitigation effect of low carbon innovation. Finally, robustness tests for replacing the spatial weight matrics confirmed the robustness of the previous results. Based on the above findings, policy recommendations include providing targeted financial support to stimulate green Research & Development input, building a regional green technology exchange system to enhance knowledge spillovers, promoting the application of carbon trading policies to more regions and industries, and setting comprehensive development goals for a green and high-quality economy.
Azathioprine and Acenocoumarol Drug Interaction in Patients with
Crohn’s Disease: A Case Report
Authors: Ben-Hammamia Syrine , Charfi Ons , Belhadj Anis , Bouchrika Amal , Chebbi Faouzi , Lakhoua Ghozlane , El Aidli Sihem 
Published: April 2022

Background:
Acenocoumarol is an anticoagulant with numerous drug reactions. We report
here, an unusual interaction between acenocoumarol and azathioprine.

Case Presentation:
A 35-year-old woman, treated with acenocoumarol for thrombosis of the superior
mesenteric vein, was prescribed azathioprine for Crohn’s disease. Three days later, INR values
decreased from 2.36 to 1.48. The dose of acenocoumarol had to almost be doubled to reach an INR
value of 2.56.
The interaction between azathioprine and acenocoumarol was then suspected. Few similar cases of
interactions between azathioprine and another coumarin derivative, warfarin, have been reported.
To our knowledge, this is the second case of such interaction reported with acenocoumarol in literature.

Conclusion:
Thus, despite the rarity of this interaction reporting, we draw attention to the importance
of close monitoring of INR values in patients treated with acenocoumarol associated with
azathioprine.
A Case of Odontogenic Myxoma of the Mandible with Expansion to the Alveolar Crest – Comparison of Imaging Findings and Pathological Findings: A Case Report
Authors: Yoshida Saori , Takeshita Yohei , Kawazu Toshiyuki , Matsumura Tatsushi , Asaumi Junichi , Nagatsuka Hitoshi , Yanagi Yoshinobu 
Published: April 2022

Background:
An odontogenic myxoma is an intraosseous tumor characterized by stellate and spindle-shaped cells embedded in an abundant myxoid or mucoid extracellular matrix. We herein describe an odontogenic myxoma that expanded not only to the bone marrow but also to the outside of the alveolar bone. Diagnosis of an odontogenic myxoma in a tooth-deficient region by imaging findings alone was difficult because the positional relationship between the tumor and the tooth is unknown. Furthermore, some of these odontogenic myxomas reportedly show rapid growth.

Case Report:
Here, we present the case of a patient, a 44-year-old man, who had a hard, bone-like swelling on his right mandible molar region and mild paresthesia on his right cheek. An odontogenic myxoma and ameloblastoma were suspected based on the imaging findings; however, pathological examination of the biopsy led to a diagnosis of odontogenic myxoma. Right segmental mandibulectomy was performed, and there was no recurrence observed after surgery.

Conclusion:
To improve the accuracy of imaging diagnosis, it is important to compare the imaging findings with the pathological findings of the surgical specimen. This comparison in the present case revealed differences in the magnetic resonance imaging signal intensity in regions with different types of cell components.
Fabrication of Metal Sulfides/Graphene Nanocomposites for the
Applications in Supercapacitors. II: Ni-Mn-S/Mn-Cu-O/Graphene
Authors: Chen Yueqiu , Annamalai Kundrakudi P. , Chen Tianlu , Chen Xuyi , Tao Yousheng 
Published: April 2022

Background:
Excessive use of fossil energy has exacerbated global warming,
and the goal of carbon neutralization has been put on the agenda. In order to make full
use of renewable energy and reduce greenhouse gas emissions, it is urgent to develop
environment-friendly energy storage devices. We previously reported metal sulfides/
graphene nanocomposites for the applications in supercapacitors (I. NiS/graphene).
Recent work was presented as the paper in the series (II. Ni-Mn-S/Mn-Cu-O/graphene).

Objective:
To synthesize graphene-supported multi-metal sulfides for electrochemical
capacitance storage.

Method:
The materials were prepared with a two-step hydrothermal method. Samples
were characterized by field emission scanning electron microscopy, X-ray powder diffraction,
and electrochemical measurements.

Results:
The as-fabricated electrode exhibited a specific capacitance of 566 F g–1 at the
current density of 1 A g–1 and a rate of 68% at 10 A g–1. The materials retained 75.8% of
the initial capacitance after 1000 charge-discharge cycles at 5 A g–1. The results suggest
optimum Ni-Mn-S/Mn-Cu-O/graphene composites for supercapacitor applications.

Conclusion:
The Ni-Mn-S/Mn-Cu-O/graphene composites with nanosheet structures
were prepared with a two-step hydrothermal method. The materials showed enhanced
electrochemical capacitance performances superior to the individual components.
eHealth Interventions Targeting Poor Diet, Alcohol Use, Tobacco Smoking, and Vaping Among Disadvantaged Youth: Protocol for a Systematic Review
Authors: Egan Lyra , Gardner Lauren Anne , Newton Nicola , Champion Katrina 
Published: April 2022

Background
Chronic disease burden is higher among disadvantaged populations. Preventing lifestyle risk behaviors such as poor diet, alcohol use, tobacco smoking, and vaping in adolescence is critical for reducing the risk of chronic disease and related harms in adolescence and adulthood. Although eHealth interventions are a promising prevention approach among the general population, it is unclear whether they adequately serve adolescents from disadvantaged backgrounds such as those living in geographically remote or lower socioeconomic areas.

Objective
This is the first systematic review to identify, evaluate, and synthesize evidence for the effectiveness of eHealth interventions targeting adolescents living in geographically remote or lower socioeconomic areas in preventing poor diet, alcohol use, tobacco smoking, and vaping.

Methods
A systematic search will be conducted in 7 electronic databases: the Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, PROSPERO, MEDLINE (Ovid), Embase (Ovid), Scopus, and PsycInfo (Ovid). The search will be limited to eHealth-based experimental studies (ie, randomized controlled trials and quasi-experimental studies) targeting diet, alcohol use, tobacco smoking, and vaping among adolescents (aged 10-19 years). Eligible studies will be those reporting on at least one marker of socioeconomic status (eg, social class, household income, parental occupation status, parental education, and family affluence) or geographical remoteness (eg, living in rural, regional, and remote areas, or living outside major metropolitan centers). One reviewer will screen all studies for eligibility, of which 25% will be double-screened. Data will be extracted and summarized in a narrative synthesis. Risk of bias will be assessed using the Cochrane Revised Risk of Bias Tool.

Results
As of December 2021, the title and abstract screening of 3216 articles was completed, and the full-text review was underway. The systematic review is expected to be completed in 2022.

Conclusions
This systematic review will provide an in-depth understanding of effective eHealth interventions targeting poor diet, alcohol use, tobacco smoking, and vaping among adolescents living in geographically remote or lower socioeconomic areas and the factors that contribute to their effectiveness. This in turn will provide critical knowledge to improve future interventions delivered to these populations.

Trial Registration
PROSPERO CRD42021294119; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=294119

International Registered Report Identifier (IRRID)
PRR1-10.2196/35408
Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial
Authors: Lai Chao-Han , Li Kai-Wen , Hu Fang-Wen , Su Pei-Fang , Hsu I-Lin , Huang Min‑Hsin , Huang Yen‑Ta , Liu Ping-Yen , Shen Meng-Ru 
Published: April 2022

Background
Multidisciplinary rounds (MDRs) are scheduled, patient-focused communication mechanisms among multidisciplinary providers in the intensive care unit (ICU).

Objective
i-Dashboard is a custom-developed visualization dashboard that supports (1) key information retrieval and reorganization, (2) time-series data, and (3) display on large touch screens during MDRs. This study aimed to evaluate the performance, including the efficiency of prerounding data gathering, communication accuracy, and information exchange, and clinical satisfaction of integrating i-Dashboard as a platform to facilitate MDRs.

Methods
A cluster-randomized controlled trial was performed in 2 surgical ICUs at a university hospital. Study participants included all multidisciplinary care team members. The performance and clinical satisfaction of i-Dashboard during MDRs were compared with those of the established electronic medical record (EMR) through direct observation and questionnaire surveys.

Results
Between April 26 and July 18, 2021, a total of 78 and 91 MDRs were performed with the established EMR and i-Dashboard, respectively. For prerounding data gathering, the median time was 10.4 (IQR 9.1-11.8) and 4.6 (IQR 3.5-5.8) minutes using the established EMR and i-Dashboard (P<.001), respectively. During MDRs, data misrepresentations were significantly less frequent with i-Dashboard (median 0, IQR 0-0) than with the established EMR (4, IQR 3-5; P<.001). Further, effective recommendations were significantly more frequent with i-Dashboard than with the established EMR (P<.001). The questionnaire results revealed that participants favored using i-Dashboard in association with the enhancement of care plan development and team participation during MDRs.

Conclusions
i-Dashboard increases efficiency in data gathering. Displaying i-Dashboard on large touch screens in MDRs may enhance communication accuracy, information exchange, and clinical satisfaction. The design concepts of i-Dashboard may help develop visualization dashboards that are more applicable for ICU MDRs.

Trial Registration
ClinicalTrials.gov NCT04845698; https://clinicaltrials.gov/ct2/show/NCT04845698
A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women With Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial
Authors: Benton Madeleine , Iman Iklil , Goldsmith Kimberley , Forbes Angus , Ching Siew Mooi , Papachristou Nadal Iliatha , Guess Nicola , Murphy Helen R , Mohd Yusof Barakatun-Nisak , Baharom Anisah , Mahamad Sobri Nur Hafizah , Basri Nurul Iftida , Salim Mazatulfazura Sf , Ismail Irmi Zarina , Hassan Faezah , Ismail Khalida , Chew Boon How 
Published: April 2022

Background
Over 50% of women with a history of gestational diabetes mellitus (GDM) will develop type 2 diabetes (T2D) in later life. Asian women experience a disproportionate risk of both GDM and T2D compared to women from other ethnic backgrounds. Lifestyle interventions and behavior change can delay or even prevent the onset of T2D. We have developed a digitalized diabetes prevention intervention for the prevention of T2D in Malaysian women with GDM.

Objective
The protocol describes a randomized controlled trial (RCT) to test the feasibility of undertaking a definitive trial of a diabetes prevention intervention, including a smartphone app and group support. Secondary aims are to summarize anthropometric, biomedical, psychological, and lifestyle outcomes overall and by allocation group, and to undertake a process evaluation.

Methods
This is a two-arm parallel feasibility RCT. A total of 60 Malaysian women with GDM will be randomized in the antenatal period to receive the intervention or standard care until 12 months post partum. The intervention is a diabetes prevention intervention delivered via a smartphone app developed based on the Information-Motivation-Behavioral Skills model of behavior change and group support using motivational interviewing. The intervention provides women with tailored information and support to encourage weight loss through adapted dietary intake and physical activity. Women in the control arm will receive standard care. The Malaysian Ministry of Health’s Medical Research and Ethics Committee has approved the trial (NMRR-21-1667-60212).

Results
Recruitment and enrollment began in February 2022. Future outcomes will be published in peer-reviewed health-related research journals and presented at national, regional, or state professional meetings and conferences. This publication is based on protocol version 2, January 19, 2022.

Conclusions
To our knowledge, this will be the first study in Malaysia that aims to determine the feasibility of a digital intervention in T2D prevention among women with GDM. Findings from this feasibility study will inform the design of a full-scale RCT in the future.

Trial Registration
ClinicalTrials.gov NCT05204706; https://clinicaltrials.gov/ct2/show/NCT05204706

International Registered Report Identifier (IRRID)
PRR1-10.2196/37288
ANALISIS TINGKAT DAYA SERAP ANGGARAN BELANJA DAERAH DI KOTA MALANG
Authors: Krisdiyanawati Luluk , Abdullah M. Faisal , Syaifullah Yunan 
Published: April 2022

The purpose of this research is to understand the level of absorptive capacity of regional expenditure budgets in Malang City and to understand the effect of planning variables, procurement of goods and services variables, and human sesource variables on the absorption of regional expenditure budgets in Malang. This type of research is quantitative research. The population in this research were 20 regional work units in Malang in the form of Agency and Department. The sample of this research is the Regional Financial and Asset Agency, Planning Research and Development Agency, Education and Culture Department, Health Department, and Environment Department in Malang City with respondents occupying positions related to the budget, namely the authority of budgets users, officials making commitments, the technical executive officer of the activity, the official signing the payment order, and the treasurer of the expenditure.The technical analysis used is multiple linear regression. The results of this research indicated that the human resources variable has a significant positive effect on the absorption of regional budgets. While the planning variable and the procurement of goods and services variable do not significantly positive influence the absorption capacity of the budget.
ANALISIS PENYALURAN KREDIT PADA BANK PERKREDITAN RAKYAT (BPR) DI JAWA TIMUR
Authors: Sih Kinar , Abdullah Faisal 
Published: April 2022

This research aims to analyze the influencing factors lending at the Rural Bank (BPR) in East Java Provience, a total population recorded in desember 2018 of 1583 offices spread in East Java Province. The variable used are Third Party Funds (DPK), BI-Rate, and Non Performing Loan (NPL). The source of this research data comes from the official website of the Central Statistics aviable in the Financial Services Authority (OJK). The period of the research is amounted 14 years, starting from 2005 – 2018. The analysis technique of this research is the Multiple Linear Regression technique. Based on results of this research, it can be stated simultaneously and partyally that the independent variable has a significant effect on lending, when the variable Third Party Funds (DPK) and BI-Rate both have a significant positive effect with probability of 0.0000 and 0.0088. while the Non Performing Loan (NPL) variable has a significant negative effect with a probability of 0.0001
Development and Evaluation of Medicated Chewing Gum Formulations of Ondansetron
Authors: Kumar Kapil , Adesh , , Teotia Deepak , Ikram , 
Published: April 2022

The objective of the present study was formulation and evaluation of medicated chewing gum formulations of Ondansetron. Four medicated chewing gum formulations of Ondansetron were prepared by direct compression mould method. Formulations were characterized for physical evaluation, weight variation, stickiness, hardness/plasticity, in vitro drug release, and drug release study. All the formulations gave satisfactory results in physical evaluation, weight variation, stickiness, and hardness. The formulation of batch F4 showed best in vitro drug release which is 60.68% in 25 min and it is also more accepted by the people. In conclusion, prepared formulations can be cost-effective product and also showed better compliance and increase in bioavailability.
Keywords: Chewing gum, Ondansetron, direct compression mould method, solid oral delivery systems