bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing Health Gains, Costs and Cost-Effectiveness of 100s of Interventions in Australia and New Zealand: An Online Interactive League Table
Authors: Carvalho Natalie , Sousa Tanara , Mizdrak Anja , Jones Amanda , Wilson Nick , Blakely Tony 
Published: January 2022

Abstract
Background

This study compares the health gains, costs, and cost-effectiveness of hundreds of Australian and New Zealand (NZ) health interventions conducted with comparable methods in an online interactive league table designed to inform policy.
Methods

A literature review was conducted to identify peer-reviewed evaluations (2010 to 2018) arising from the Australia Cost-Effectiveness (ACE) research and NZ Burden of Disease Epidemiology, Equity and Cost-Effectiveness (BODE3) Programmes, or using similar methodology, with: health gains quantified as health-adjusted life years (HALYs); net health system costs and/or incremental cost-effectiveness ratio; time horizon of at least 10 years; and 3–5% discount rates.
Results

We identified 384 evaluations that met the inclusion criteria, covering 14 intervention domains: alcohol; cancer; cannabis; communicable disease; cardiovascular disease; diabetes; diet; injury; mental illness; other non-communicable disease; overweight and obesity; physical inactivity; salt; tobacco. There were large variations in health gain across evaluations: 33.9% gained less than 0.1 HALYs per 1000 people in the total population over the remainder of their lifespan, through to 13.0% gaining >10 HALYs per 1000 people. Over a third (38.8%) of evaluations were cost-saving.
Conclusions

League tables of comparably conducted evaluations illustrate the large health gain (and cost) variations per capita between interventions, in addition to cost-effectiveness. Further work can test the utility of this league table with policy makers and researchers.
TiO2 Nanoparticles As Heterogeneous Catalyst For WCO Biodiesel Production: Engine Parameters Optimization and Prediction of Biodiesel/Diesel/Cadmium (II) Coordination Polymer Blends Fuel By Using Response Surface Methodology
Authors: Elkelawy Medhat , Etaiw Safaa El-din H. , Radwan Ahmed Mohamed , Panchal Hitesh , Bastawissi Hagar Alm-Eldin 
Published: January 2022

Abstract
Nowadays, combustion technologies decarbonization, reduction of harmful emission, and improving thermal efficiency have gained more attention by using clean, sustainable, alternative, and reliable biofuels coupled with using nano particles technologies. Nano heterogeneous catalysts are new promising technologies for converting triglycerides (oil, fats,..etc) into biodiesel, which characterized with saving in the total cost of production. Titanium dioxide (TiO2) nano heterogeneous catalyst used to convert triglyceride represented in waste cooking oil (WCO) into FAME as bio-diesel, where bio-diesel yield fitted the ASTM. In the present research, the results show 95% as a maximum yield at optimum process conditions of 0.01 Wt.% TiO2 loading, 0.3 Wt.% NaoH, reaction temperature (60 ºC), reaction time (60 min), 10:1 methanol to oil volumetric percentage. Effect of mixing different percentage (35, and 70 ppm) of {[Cd (EIN)2(SCN)2]}, SCP 1, Cadmium (II coordination polymer as nanoparticle enhancer, with diesel fuel/biodiesel (60:40 v/v%) (D60B40) on the behavior of one-cylinder direct-injection diesel (DI) engine parameters were examined experimentally and analytically through RSM methodologies. The engine operating variables have been optimized by using CCD method to achieve an optimal BTE. Engine load and nano particles quantity were considered as process input variables to optimize BTE, UHC, and NOx emissions as engine responses. The quadratic regression models were significant and adequate statistically as indicated by the Analysis of variance (ANOVA). The obtained results from (RSM) optimizer indicated that BTE, NOx, and UHC have optimum values of 16.2605%, 544.9157 ppm, and 117.6023 ppm respectively, at 70 ppm of SCP 1 nanoparticles and 2.1919 Kw of break power as optimal predicted values. A validation examination was carried out and the percent of error was within the limit of 5%. BTE, UHC, and NOx have an error percentage of 2.05%, 1.03%, and 1.63%, respectively.
An Intelligent Literature Review: an Inductive Approach to define Machine Learning Applications in the clinical domain
Authors: Sabharwal Renu , Miah Shah Jahan 
Published: January 2022

Abstract
Big data analytics utilizes different analytics techniques to transform large volume and diversified big dataset. The analytics uses various computational methods such as different Machine Learning (ML) in convert raw data to valuable insights. The ML assist individuals to perform work activities quicker and better, and empower decision-makers in system use. Since academics and industry practitioners have growing interests on ML, how different applications of ML in specific problem domains have been explored, but not in a holistic manner from the past literature. This paper aims to promote the utilization of intelligent literature review for researchers by introducing a step-by-step framework on a case providing the code template. We offer an intelligent literature review to obtain in-depth analytical insight of ML applications in the clinical domain to: a) develop the intelligent literature framework using traditional literature and Latent Dirichlet Allocation (LDA) topic modeling, b) analyze research documents using traditional systematic literature review revealing ML applications, and c) identify topics from documents using LDA topic modeling. We used a PRISMA framework for the traditional literature review, reviewed four databases (e.g. IEEE, PubMed, Scopus, and Google Scholar), which are published between 2016 and 2021 (September). The framework comprises two stages – Traditional systematic literature review and LDA topic modeling. The intelligent literature review framework reviewed 305 research documents in a transparent, reliable, and faster way.
Utilizing Multi-Temporal Thermal Data To Assess Environmental Land Degradation Impacts: Example From Suez Canal Region, Egypt.
Authors: Arnous Mohamed , Mansour Basma 
Published: January 2022

Abstract
Land surface temperature (LST) analysis of Satellite data is critical for studying the impacts of geo-environmental, hydrometeorological, and land degradation. However, challenges arise to resolve the LST and ground field data resulting from the constant development of land use and land cover (LULC). This study aims to monitor, analyze, assess, and map the environmental land degradation impacts utilizing image processing and GIS tools of space-borne thermal data and fieldwork. Two thermal and optical sets of multi-temporal Landsat TM+5 and TIRS+8 satellite data dated 1984 and 2018 were used to test, detect, and map the thermal and LULC change and their land degradation in the Suez Canal region (SCR). The LULC classification was categorized into seven classes: water bodies, urban, agricultural land, barren land, wetland, clay, and salt crust. LULC and LST change detection and mapping results revealed that the impervious surface, industrial area, saline soil, and urban area have high LST, while wetlands, vegetation cover, and water bodies suffered low LST. The spectral, LST profiles and statistical analyses examined the association between LST and LULC deriving factors. The cluster analyses defined the relationship between LST and LC patterns at the LU level, where the fast transformation of LULC had significant changes in LST. According to these analyses and the fieldwork observations, the SCR was divided into six main areas. These areas vary in LST in association with land degradation and hydro-environmental impacts such as rising groundwater levels, salt accumulation, active seismic fault zones, water pollution, and urban and agricultural activities.
Experimental Investigation On a Novel Design of Hemispherical Solar Distiller With v-Corrugated Iron Trays And Wick Materials For Improving Freshwater Production
Authors: Attia Mohammed El Hadi , Zayed Mohamed , Abdelgaied Mohamed , Sharshir Swellam , Kabeel Abd Elnaby 
Published: January 2022

Abstract
The low energy efficiency of the solar distillers is one of the most key barriers to their effectual usage in the desalination domain. In this work, an experimental investigation was conducted to enhance the freshwater productivity of the hemispherical solar distiller. This was achieved by utilizing flat and v-corrugated iron trays configurations on the bottom of the distiller basin in order to increase the vaporization surface area for better heat transfer of saline water. Three distillers were designed and examined; namely, conventional hemispherical solar distiller (CHSD), hemispherical solar distiller with flat iron trays (HSD-FIT), and hemispherical solar distiller with v-corrugated iron trays (HSD-VIT). Moreover, the effects of using wick materials (WM) in the basin of HSD-FIT and HSD-VIT have been also investigated and compared to that of CHSD. A comparative thermo-economic analysis of HSD-VITWM, HSD-FITWM, HSD-VIT, HSD-FIT, and CHSD has been conducted to determine the better modification that maximizes the performance of hemispherical stills. Experiments were carried out at the desert climate conditions of El-Oued (33°27′N, 7°11′E), Algeria. The results showed that all modifications revealed good thermo-economic performance enhancements and the HSD-VITWM achieved the maximal improvement from both freshwater production and energo-economic performance. The freshwater productivity and energy efficiency of the HSD-VITWM were improved by 83.12 and 81.67%, respectively, relative to CHSD. Additionally, the cost of freshwater production was lowered by 41.72%.
Activity Cliffs As Protein-Related Phenomenon: Investigation Using Machine Learning Against Numerous Protein Kinases
Authors: Daoud Safa , Taha Mutasem 
Published: January 2022

Abstract
Activity cliffs (ACs) are analogous compounds of significant affinity discrepancies against certain biotarget. We propose that the ACs phenomenon is protein-related and that the propensity of certain target to have ACs can be predicted by some intrinsic protein properties. We pursued this assumption by collecting the crystallographic structures of 84 protein kinases, each of which has numerous reported inhibitors (hundreds). Following data augmentation using synthetic minority oversampling technique (SMOTE), we attempted to correlate the presence/absence of ACs within the ligand pools of collected protein kinases with their corresponding protein properties using genetic algorithm (GA) coupled with variety of machine learners (MLs). Very good GA-ML models were achieved with accuracies of around 75% against external testing set. The models were further validated by Y-scrambling. Shapely additive explanations highlighted the significance of protein rotatable bonds, hydrophobic and acidic residues in relation to the presence of ACs. These results support the hypothesis that ACs are protein-related.
Outcomes of Tunneled Dialysis Catheter In Hemodialysis Patients In A Tertiary Care Hospital
Authors: Tahir Misbah , Ali Muhammad , Siddiqui Danial Khalid , Durrani Noureen , Iqbal Jawaid , Mustafa Khalid 
Published: January 2022

Abstract
BACKGROUND: To evaluate tunnel dialysis catheter (TDC) patency and its outcome among patients receiving TDC in a tertiary care hospital.METHODS: Retrospectively patients’ records were reviewed who underwent TDC placement during February 2016 to November 2020 at Department of Interventional Radiology, Liaquat National Hospital, Karachi, Pakistan. Patients’ age, gender, residence, comorbidity, catheter placement site, use of antibiotics before catheter insertion, reasons for catheter removal and total catheter days were retrieved from patients’ medical record file.RESULTS: 130 patients received TDC with a median follow-up of 148 (inter-quartile range: 60.8 – 274.3) days. 94(72.3%) catheters were electively removed whereas 18(13.8%), 16(12.3%) and 2(1.5%) catheters were removed due to infections, blockage and physical damage respectively. None of the mortality was observed due to catheter related complication. The incidence of overall infection, bacteremia and other infections during one year was 7.3, 5.01 and 3.19 per 10,000 patient-days respectively. Infection free survival rate was 68% with mean time to infection was 676.63 (95% CI: 593.87 – 759.39) days. During the study, total catheter patency was 53.2%. None of the patients’ characteristics was associated with catheter related infections and catheter patency.CONCLUSION: TDCs are the best available alternative for short to intermediate term use for hemodialysis when all preventive measures are taken to avoid catheter related complications either infectious or non-infectious until permanent dialysis access is achieved or renal transplant is done. It may also serve as long term hemodialysis mode in patients in whom permanent access or transplant is not preferred.
The Psychological Aspect of Polypharmacy in Patients with Chronic Diseases. A Case Control Study about The Impact of Polypharmacy Regime Amongst Patients in Kurdistan Region of Iraq.
Authors: Rasool Banan , Amen Shwan , Amin Redar , Abdullah Gazang , Ferra Ondřej , Hassan Salah , Othman Elaf , Fattah Harez , Maaroof Payam , Lucero-Prisno Don Eliseo III 
Published: January 2022

Abstract
Background:Patients on Polypharmacy regime due to having a chronic illness are at a higher risk of developing some form of negative psychological outcome as a result of their disease. This study aims to determine the impact of polypharmacy on the psychological aspects of a patient living with a chronic disease.Method:A case-control study conducted amongst patients in an outpatient clinic of an Internist (July 1st to September 1st, of 2021) in the city of Erbil, Iraq. Data was extracted from a self-assessed questioner. 200 participants were divided into polypharmacy (case group) and non-polypharmacy group (control group). Polypharmacy, being defined as the use of 5 or more medication which meant that participants in the case group must fit into these criteria. A ‘Hospital Anxiety and Depression Scale’ (HADS) was used to determine the presence of symptoms of depression and/or anxiety.Results:A totally of 200 patients were included in the study. Of these 100 participants were from the non-polypharmacy group while the remaining 100 were from the polypharmacy group. Of these, depression among non-polypharmacy group (control) participants were 11% while 76% were found to be non-cases of depression. Compared to that, 31% of the polypharmacy group had depression while 51% were non-cases for depression. Also. the prevalence of depression and anxiety was increasing with an increase in number of medications taken by the patients. Depression was present in 11% of patients who took 4 or less medications while the prevalence increased to 21.1%, 34.9% and 42.1% in patients who took five, six to eight, and more than nine medications, respectively.Conclusion: There is a significant link between polypharmacy and psychological distress in patients with chronic diseases with a focus on depression and anxiety. Healthcare providers can help in detecting polypharmacy and in providing recommendations for simplifying medication regimes and reducing the outcomes of chronic diseases. Trial registration: - This article doesn’t contain any health care intervention on human participants.
Circ_0039908/miR-let-7c/RRM2 Axis Was Identified Played an Important Role in Lung Adenocarcinoma by Integrated Analysis
Authors: Zhang Weijie , Chen Jun , Li Yue , Zhang Ruochen , Wang Anqi , Zeng Yuanyuan , Zhu Jianjie , Liu Zeyi , Huang Jianan 
Published: January 2022

Abstract
Background

Circular RNAs (circRNAs) are shown to play a significant role in cancer initiation and progression by interacting on microRNAs (miRNAs) which act as one kind of competing endogenous RNAs (ceRNAs) for the regulation effect on target gene expressions. This study was performed to explore the prognosis-related circRNAs in LUAD patients by integrated analysis and find the mechanism it worked.
Methods

The miRNAs and mRNAs, accompanied with circRNAs expressions were obtained through The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, The cytoHubba app of Cytoscape was used to identify hubgenes. q-RT PCR was performed to identify the expression of circRNA, miRNA and mRNA, Cell Counting Kit-8 (CCK-8) and clone formation assays were used to evaluate the proliferation ability of different kinds of cells in vitro. Transwell assays were utilized to assess the motility of tumor cells.
Results

Finally, circRNA_0039908/let7c-5p/RRM2 axis were identified in our research, it can play an important role in the LUAD pathogenesis progression and we found that the ability of proliferation and metastasis of LUAD cells can be suppressed after knockdown of circRNA_0039908. This work indicates that circRNA_0039908/let7c-5p/RRM2 axis may be a promising target in the prognosis and treatment of LUAD patients.
Conclusion

Circ_0039908/miR-let-7c/RRM2 axis can promote the ability of proliferation, migration and invasion of LUAD cells.
A Reconstruction Method for Cross-Cut Shredded Documents Based on the Extreme Learning Machine Algorithm
Authors: Zhang Zhenghui , Zou Juan , Zheng Jinhua , Yang Shengxiang , Gong Dunwei , Pei Tingrui 
Published: January 2022

Abstract
Reconstruction of cross-cut shredded text documents (RCCSTD) has important applications for information security and judicial evidence collection. The traditional method of manual construction is a very time-consuming task, so the use of computer-assisted efficient reconstruction is a crucial research topic. Fragment consensus information extraction and fragment pair compatibility measurement are two fundamental processes in RCCSTD. Due to the limitations of the existing classical methods of these two steps, only documents with specific structures or characteristics can be spliced, and pairing error is larger when the cutting is more fine-grained. In order to reconstruct the fragments more effectively, this paper improves the extraction method for consensus information and constructs a new global pairwise compatibility measurement model based on the extreme learning machine algorithm. The purpose of the algorithm's design is to exploit all available information and computationally suggest matches to increase the algorithm's ability to discriminate between data in various complex situations, then find the best neighbor of each fragment for splicing according to pairwise compatibility. The overall performance of our approach in several practical experiments is illustrated. The results indicate that the matching accuracy of the proposed algorithm is better than that of the previously published classical algorithms and still ensures a higher matching accuracy in the noisy datasets, which can provide a feasible method for RCCSTD intelligent systems in real scenarios.
Differential Effects of Acute and Chronic Antagonist And An Irreversible Antagonist Treatment On Cocaine Self-Administration Behavior in Rats
Authors: Wetzel Hanna N. , Tsibulsky Vladimir L. , Norman Andrew B. 
Published: January 2022

Abstract
According to pharmacological theory, the magnitude of an agonist-induced response is related to the number of receptors occupied. If there is a receptor reserve, when the number of receptors is altered the fractional occupancy required to maintain this set number of receptors will change. Therefore, any change in dopamine receptor number will result in a change in the concentration of cocaine required to induce the satiety response. Rats that self-administered cocaine were treated with the irreversible monoamine receptor antagonist, EEDQ, or were infused continuously for 14 days with the D1-like antagonist, SCH23390, treatments known to decrease or increase, respectively, the number of dopamine receptors with a concomitant decrease or increase in response to dopaminergic agonists. The rate of maintained cocaine self-administration increased or decreased in rats treated with EEDQ or withdrawn from chronic SCH23390 infusion, respectively. After EEDQ treatment, the effect ratio of a single dose of SCH23390 or eticlopride were unchanged, indicating that the same dopamine receptor populations mediated the accelerated cocaine self-administration. The satiety threshold likely corresponds to a specific number of activated dopamine receptors. Changing the receptor reserve is a key determinant of the rate of cocaine self-administration because the resulting increased or decreased concentration of cocaine results in an accelerated or decelerated rate of cocaine elimination as dictated by first-order kinetics. Changes in dopamine receptor number that may occur after continuous treatment with antagonists may account for the apparent lack of efficacy of these antagonists in clinical trials for cocaine use disorder.
The Prevalence of Mycobacterium Tuberculosis Using Gene Xpert Among Tuberculosis Suspected Patients in Gedeo Zone, Southern Ethiopia
Authors: Diriba Kuma Urgeya , Churiso Gemechu 
Published: January 2022

Abstract
Background
Tuberculosis (TB) is a communicable disease remains a major global health problem and the leading cause of death from a single infectious agent. Even though many of the WHO recommended TB control strategy was implemented; there is still a major gap in TB case detection and treatment. This study aimed to determine the prevalence of Mycobacterium tuberculosis among presumptive TB patients in Gedeo Zone, Southern Ethiopia.
Methods
A cross-sectional study was conducted on 384 TB suspected patients in Gedeo Zone from February to July 2021. Data were collected using a pretested structured questionnaire. Laboratory examination was processed using Xpert-MTB/RIF assay. Data entry was made using Epi info version 7 and analyzed by SPSS version 24. Logistic regression models were used to determine the risk factors.
Results
Out of 384 study participants suspected with TB, M tuberculosis was isolated from 103 giving an overall prevalence of 26.8%. Males (AOR) = 1.95; 95% CI 1.56-2.65, P=0.01) were more likely to develop TB than females. Study participants who were illiterate (AOR 2.10; 95% CI 1.17-2.51, p=0.014) were more likely to develop TB than the educated one. Cigarette smokers (AOR 2.89; 95% CI 2.10-3.84, p=0.01), khat chewers (AOR 2.86; 95% CI 1.28-3.79, p=0.01), vaccination (AOR 0.52; 95% CI 0.21-0.88, p=0.02), close contact (AOR 3.42; 95% CI 2.24-4.50, p=0.01) and being positive for HIV (AOR 2.01; 95% CI 1.07-3.52, 0.01) were more likely to develop TB.
Conclusion
Despite implementation of national and international TB control strategies, TB still remains one of the major public health problems in the country especially in the study area. The high prevalence of MTB was reported different risk groups. Early case detection and management of TB should be given special attention to strengthen and an appropriate control and prevention methods to reduce the emergence and increasing of MTB cases.
Mapping the conformational energy landscape of Abl kinase using ClyA nanopore tweezers
Authors: Li Fanjun , Fahie Monifa , Gilliam Kaitlyn , Pham Ryan , Chen Min 
Published: January 2022

Abstract
Protein kinases play central roles in cellular regulation by catalyzing the phosphorylation of target proteins. Kinases have inherent structural flexibility allowing them to switch between active and inactive states. Quantitative characterization of kinase conformational dynamics is challenging. Here we used nanopore tweezers to access the conformational dynamics of Abl kinase domain, which was shown to interconvert between two major conformational states where one conformation comprises three sub-states. Analysis of kinase-substrate and kinase-inhibitor interactions uncovered the functional roles of relevant states and enabled the elucidation of the mechanism underlying the catalytic deficiency of an inactive Abl mutant G321V. The energy landscape of Abl kinase was revealed by quantifying the population and transition rates of the conformational states.