bluuebunny/crossref_metadata_2025_split huggingface dataset:
Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Authors: Badawy Mohammed , Ramadan Nagy , Hefny Hesham Ahmed 
Published: August 2022

Abstract
Aim
This paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction, as well as identify inherent obstacles to applying these approaches in the healthcare prediction domain.
Background
Healthcare prediction has been a significant factor in saving human lives in recent years. In the domain of healthcare, there is a rapid development of intelligent systems for analyzing complicated relationships among data and transforming them into real information for use in the prediction process. Consequently, artificial intelligence is rapidly transforming the healthcare industry. Thus comes the role of systems depending on machine learning as well as deep learning in the creation of steps that diagnose and predict diseases, whether from clinical data or based on images, that provide tremendous clinical support by simulating human perception and can even diagnose diseases that are difficult to detect by human intelligence.
Methods
The studies discussed in this paper have been presented in journals published by IEEE, Springer, and Elsevier. Machine learning, deep learning, healthcare, surgery, cardiology, radiology, hepatology, and nephrology are some of the terms used to search for these studies. The studies chosen for this survey are concerned with the use of machine learning as well as deep learning algorithms in healthcare prediction.
Results
A total of 40 working papers were selected and the methodology for each paper was clarified.
Conclusion
This paper presents a comprehensive survey as well as the current challenges in healthcare prediction. studies have shown that artificial intelligence plays a significant role in diseases diagnosing.
Using LEXSY plasmids for sodb1 gene silencing in Leishmania tropica parasites
Authors: Alhraki Fatema , Kassouha Morshed , Soukkarieh Chadi 
Published: August 2022

Abstract
Background: Genetic modifications and manipulations have topped the list of recent research, as they target the causes, not the results, and are currently considered one of the most powerful methodologies used to study the biology of the Leishmania parasites. These methods have expanded since the publication of the first study in which the genetic replacement of one of the Leishmania genes was done, which provided an opportunity to analyze and study the biology of the parasite genomically. In this study, the SODB1 gene was targeted by antisense RNA. This gene encodes one of the important enzymes in the infectivity of Leishmania tropica parasites within macrophages, which is the superoxide dismutase enzyme (SODB1).Methods: An inverted sequence of part of SODB1 ORF and 3’UTR were cloned in LEXSY plasmid, and after obtaining the silencing constructions, the Leishmania tropica parasites were transfected by electroporation. Western Blot analysis of SODB1 expression and the infectivity of these mutant parasites in human macrophages was studied and evaluated in comparison with a wild-type negative control and another control containing the GFP gene that codes for Green Fluorescent Protein (GFP).Results: The results showed that using LEXSY plasmids for SODB1 gene silencing was efficient and the knocking-down was clear forasmuch the decrease in both infectivity and parasite load in human macrophages in vitro. On the other hand, western blot analysis revealed a lower expression level of SODB1 in the mutant parasites than wild-type. The results were subjected to statistical analysis and the decreases in the infectivity and parasites load of the mutant parasites were very significant in comparison with the wild-type.Conclusion: Our study confirms the efficiency of the produced silencing system, and the importance of the SODB1 enzyme in the amastigote parasites’ ability to grow and survive within the host's macrophages despite the presence of many other SODs enzymes. This is the first study that affirms the success of using the LEXSY gene expression system for gene silencing according to the antisense RNA approach. Thus, this work will allow using of the produced silencing system to target other important genes in Leishmania, and continue studying the knocked-down strain in vivo.
Manipulate Mechanism Design and Synchronous Motion Simulation for Helicopter Driving Simulator
Authors: Yao Shuangji , Wang Zhilong , Carbone Giuseppe , Yang Haojie , Ceccarelli Marco , Zhao Dingxuan 
Published: August 2022

Abstract
A new manipulate mechanism with automatic position reset function for helicopter driving simulator is proposed and developed. The motion platform of the driving simulator and the synchronous motion analysis are designed. The synchronous simulation research is carried out. By using the simulation method, the availability of the mechanism and the feasibility of synchronous motion are verified. It provides a new design scheme and develops synchronous motion analysis method for the manipulate mechanism of the helicopter driving simulator. Firstly, the mechanisms and models of the manipulate stick and the driving simulator are established. The mathematical modeling and kinematic derivation are carried out respectively. Secondly, the dynamic simulation of the manipulate mechanism is carried out and the driving simulator model is built by using MATLAB/Simulink. In order to control the attitude adjustment of the helicopter driving simulator, the mapping relationship between the manipulate mechanism and the 6-DOFs platform is established. And the effect of synchronous motion simulation is achieved. The simulation results show that the manipulate mechanism can perform the load simulation of the joystick by spring compression and is feasible to control the driving simulator. Comparing with formerly electric load simulation, this research provides us a new way to achieve manipulate stick load simulation by mechanism design for helicopter driving simulator. The simulation result curves verify the proposed research method is reasonable and practice for helicopter driving simulation.
Assessing the trend in low flows and the impact of climate change using the Standardized Precipitation–Evapotranspiration Index and total runoff: A case study of Bintan Island, Indonesia
Authors: Santoso Heru , Marganingrum Dyah 
Published: August 2022

Abstract
Understanding the characteristics of low flows over time is critical to sustainable water resource management in Bintan, a small tropical island in Indonesia. Low flows are driven by precipitation and controlled by the soil and geological parameters of a catchment. A method that integrated the Standardized Precipitation–Evapotranspiration Index (SPEI) and the calculated total runoff (TRO) was developed in order to analyze the change in low-flow intensity over time. This method included steps for the selection of an appropriate SPEI timescale and the development of low-flow intensity classes based on the TRO, and was used to assess the trend in low-flow intensity change in Bintan Island for 1981–2020 and the impact of climate change on low-flow intensity for 2031–2070. The results showed that low-flow intensity in the second half of the 1981–2020 period was 45% less than in the first half, with an estimated increase in low-flow volume of 405 mm (22.4%). The climate-change projection for 2031–2070 indicated an increase in low-flow intensity of 14% compared with 1981–2020, with an estimated 12% decrease in low-flow volume. The integrated method indicated a trend similar to that of a method using only the SPEI, but with better performance in estimating the low-flow volume change, thus providing a better understanding of how the low-flow intensity will change over time.
Pregnancy-specific responses to COVID-19 are revealed by high-throughput proteomics of human plasma
Authors: Gomez-Lopez Nardhy , Romero Roberto , Escobar Maria , Carvajal Javier , Echavarria Maria , Albornoz Ludwig , Nasner Daniela , Miller Derek , Gallo Dahiana , Galaz Jose , Arenas-Hernandez Marcia , Bhatti Gaurav , Done Bogdan , Zambrano Maria , Ramos Isabella , Fernandez Paula , Posada Leandro , Chaiworapongsa Tinnakorn , Jung Eunjung , Garcia-Flores Valeria , Suksai Manaphat , Gotsch Francesca , Bosco Mariachiara , Than Nandor , Tarca Adi 
Published: August 2022

Abstract
Pregnant women are at greater risk of adverse outcomes, including mortality, as well as obstetrical complications resulting from COVID-19. However, pregnancy-specific changes that underlie such worsened outcomes remain unclear. Herein, we profiled the plasma proteome of pregnant and non-pregnant COVID-19 patients and controls and showed alterations that display a dose-response relationship with disease severity; yet, such proteomic perturbations are dampened during pregnancy. In both pregnant and non-pregnant state, the proteome response induced by COVID-19 showed enrichment of mediators implicated in cytokine storm, endothelial dysfunction, and angiogenesis. Shared and pregnancy-specific proteomic changes were identified: pregnant women display a tailored response that may protect the conceptus from heightened inflammation, while non-pregnant individuals display a stronger response to repel infection. Furthermore, the plasma proteome can accurately identify COVID-19 patients, even when asymptomatic or with mild symptoms. This study represents the most comprehensive characterization of the plasma proteome of pregnant and non-pregnant COVID-19 patients.
Assessment of the oral health literacy and oral health behavior among nurses in China: a cross-sectional study
Authors: AN Ran , Chen Wen feng , Li Siyu , Wu Zitong , Liu Meizi , Sohaib Muhammad 
Published: August 2022

Abstract
Background: Oral health is important for general health, nurses are expected to possess good oral health awareness and work together for public oral health promotion, but there is scarce information available on oral health literacy and oral health behavior among nurses.Purpose: The purpose of this study is to investigate oral health literacy and behaviors of nurses, analyze the association between oral health literacy with demographic variables and oral health behaviors.Design: An exploratory research approach was used.Methods: A cross-sectional study in one tertiary hospital was conducted using a short-form Health Literacy in Dentistry-14 (HeLD-14) and a 16-items oral care behaviors questionnaire. Information about the subjects’ demographic details including age, gender, place of residence, marital status, marital status, education level, monthly household income, working experience, etc. were collected. Multivariable regression was used to identify the association of oral health literacy with demographic variables and oral health behaviors.Results: A total number of 317 nursing nurses participated in the survey, with a mean OHL score of 36.72, SD10.531, 21.8% were categorized as good,34.1% medium and 44.2% poor oral health literacy; monthly household income, self-rated oral health, brushing time, use of fluoride toothpaste, and regular oral examination were the influencing factors of oral health literacy among nurses.Conclusion: The overall oral health literacy of the nurse population is at a moderate to low level. These findings may help to map and design an oral health education intervention to improve oral health literacy amongst nurses, especially nurses with low monthly household income and poor self-assessed oral health status. Nursing administrators and nursing educators should pay more attention to the oral health status of the nurse population.
Effect of coal type on the physical properties and CO 2 adsorption performance of activated coke prepared by a single-step method under flue gas atmosphere
Authors: Yan Min , Zhou Binxuan , Chen Binjian , Gao Yan , Ma Chunyuan 
Published: August 2022

Abstract
Activated coke is considered to be one of the promising CO2 adsorbents. It could be prepared using coals by a single-step method, but the physical properties and CO2 adsorption performance of activated coke were significantly different when using different ranks of coals. In this study, six typical coals covering lignite, sub-bituminous coal, bituminous coal and anthracite were selected to prepare powdered activated coke (PAC) by a single-step method under flue gas atmosphere. The pore structure, surface morphologies and surface functional groups of the prepared PACs were characterized and the yield was calculated. The CO2 adsorption performance and adsorption selectivity for CO2 / N2 was experimented and analyzed. Results show that the PAC prepared from lignite had the maximum specific surface area of 479 m2/g, the most abundant oxygen-containing functional groups and the highest CO2 adsorption capacity of 3.35 mmol/g at 0°C and 1.2 bar, but the yield of 48.41% was slightly less than others. Then followed by the PAC prepared from sub-bituminous coal. For PACs prepared from bituminous coal, the specific surface area, oxygen-containing functional groups and CO2 adsorption capacity were all decreased and greatly affected by the caking property. The PAC prepared from strong-caking coal, such as Xinwen coal, was unsuitable for PAC preparation. The PAC prepared from anthracite had the similar physical properties and CO2 adsorption performance with PAC prepared from medium-caking bituminous coal, but the yield of 72.17% was the most. Moreover, the prepared PACs presented good adsorption selectivity for CO2 / N2, which indicated the feasibility in practical applications. These conclusions could provide references for preparation of PACs using coals as the raw materials by the single-step method under flue gas atmosphere.
Rockburst grade probability prediction models based on PSO parameter optimization
Authors: Du Chenglei , Pan Yucong , Yin Xin , Gao Feng 
Published: August 2022

Abstract
Rockburst is a complex dynamic hazard in underground engineering, with the characteristics of sudden, random and destructive, seriously threatening the safety of construction personnel and mechanical equipment, limiting the project schedule. This paper collects 403 groups of rockburst cases, extracts four representative rockburst prediction indicator data, and uses LOF algorithm to process the outliers in the data sets. The processed data are used to test the prediction performance of ensemble models and decision tree models. Meanwhile, Particle swarm optimization (PSO) algorithm is used to optimize the parameters of the prediction models. The results show that the prediction performance of the ERT models is better than that of the RF models and the decision tree models; the CART-ERT model has the highest prediction accuracy of 0.9375, which is better than the other eight prediction models. Finally, ADASYN algorithm is used to synthesize minority classes of samples to reduce the impact of class imbalance of rockburst samples. It can be found that after using the ADASYN algorithm to synthesize samples, the prediction performance of the models is improved. The prediction models adopted in this paper calculate the occurrence probability of rockburst of different grades, which has important guiding significance for rockburst prevention and control.
Assessment of decomposition on the integrity and stability of post-mortem mRNA
Authors: Thornton Roxanne , Hutchinson Erin Frances , Edkins Adrienne Lesley 
Published: August 2022

Abstract

Objective:Molecular information derived from RNA species has the potential to contribute to tissue specific identification, body fluid identification and post-mortem interval estimation. However, the reliability and validity of post-mortem RNA for the purpose of forensic identification is questionable. To determine the stability and purity of post-mortem RNA, sternal bone tissue was excised fromGallus gallusandCercopithecus pygerythrusremains at five stages of decomposition (Fresh, Bloat, Active Decay, Advanced Decay and Dry Bone). Two RNA preservation methods, namely the commercially available RNAlaterand the traditional -80 °C were evaluated and RNA purity and integrity were measured by UV absorbance and quality by RT-qPCR.Results:Animal models provide insights into the rapid degradation of RNA within an experimental setup of stages of degradation. Following the bloated stage (stage 2) of decomposition, RNA fragments and RT-qPCR amplification decreases. A positive correlation (p value0.001) existed between the probability of DNA and/protein contamination and increased post-mortem interval. The results recommend against the sampling of RNA from advanced decomposed remains or remains where no circumstance of death and/or history is recorded. This study served as a proxy for development of methods later applied to unidentified human remains admitted to the South African Forensic Pathology Services at various stages of decomposition with no accompanied history or circumstance of death.
Impact of clay modifier on structure, thermal, mechanical and transport properties in polyurethane/Maghnite nanocomposites as barrier materials
Authors: MRAH Lahouari , khiati Zoulikha 
Published: August 2022

Abstract
In the present study, thermoplastic polyurethane (TPU) nanocomposites based on maghnite as an inorganic reinforcing phase were synthesized. The result of this study was to evaluate the gas barrier property of a thermoplastic polyurethane (TPU) material containing clay nanoparticles. The preparation of the thermoplastic polyurethane prepolymer with NCO terminations was carried out by the in situ solution polymerization method. The clay was previously modified by intercalating 12-aminododecanoic acid NH2(CH2)11COOH (12-Mag) molecules. The polyethylene glycol / tolylene 2,4-diisocyanate (PEG/TPI) matrix was extensively compatibilized with the organo-modified clay, 12-Maghnite. The objective of this study is to evaluate the effects of the use of organoclay on the development of thermoplastic polyurethane (TPU) nanocomposites composed of 1, 3, 5 and 7 wt% organoclay. The results obtained by XRD, by Transmission and Scanning Electron Microscopy (TEM, SEM) revealed that the modified maghnite was well dispersed at 1 wt% in the polyurethane matrix. Thermogravimetric (TG) tests have shown that the nanocomposites samples also have better thermal stability. Using the membrane separation test device, gas permeability was examined. Significant improvements in barrier properties were observed. The mechanical properties of the nanocomposites were evaluated as a function of the clay filler used and the TPU matrix.
Response Times of Degenerately Doped Semiconductor Based Plasmonic Modulator
Authors: Vinnakota Raj , Dong Zuoming , Briggs Andrew , Banks Seth , Wasserman Daniel , Genov Dentcho 
Published: August 2022

Abstract
We present a transient response study of a semiconductor-based plasmonic switch. The proposed device operates through active control and modulation of localized electron density waves i.e., Surface Plasmon Polaritons (SPPs) at degenerately doped In0.53Ga0.47As based PN++ junctions. A set of devices are designed and fabricated, and their optical and electronic behaviors are studied both experimentally and theoretically. Optical characterization shows far-field reflectivity modulation, a result of electrical tuning of the SPPs at the PN++ junctions for mid-IR wavelengths with significant 3dB bandwidths. Numerical studies using a self-consistent electro-optic multi-physics model are performed to uncover the temporal response of the devices’ electromagnetic and kinetic mechanisms facilitating the SPP switching at the PN++ junctions. The numerical simulations show strong synergy with the experimental results, validating the claim of possible electrical tunability of the device with a 3dB bandwidth as high as 2GHz. Thus, this study confirms that the presented SPPD architecture can be implemented for high-speed control of SPPs through electrical means, potentially providing a pathway toward fast all-semiconductor plasmonic devices.
Aggregation and Carbon Stabilization in Constructed Technosols Under an Urban Milpa System
Authors: Abbruzzini Thalita F. , Mora Lucy , Loredo-Jasso Ulan U. , Vargas Ceres Perez , Prado Blanca 
Published: August 2022

Abstract

The dynamics of organic C pools in constructed soils for urban farming, and how these pools interact with the mineral phase to form stable aggregates, may provide important information regarding their ability to store and sequester carbon. Technosols produced from concrete and excavation waste combined with wood chips, compost, and biochar (C + WCB and E + WCB, respectively), and an all-organic control treatment (WCB), were analyzed two years after the establishment of an urban milpa system. The size distribution and stability of aggregates, the distribution of C in aggregate size fractions, and the molecular composition of their organic and mineral phases were investigated. All treatments were mostly composed of macroaggregates (80–90% of the total aggregate size distribution), with 2–8% of microaggregates and a variation of 4–14% for the silt + clay fraction. Differential allocation of C in aggregate size fractions was observed when comparing C + WCB and E + WCB Technosols, while this element was more evenly distributed in the aggregate fractions of the WCB control treatment. The presence of recalcitrant and labile C compounds in silt + clay size fractions of C + WCB evidenced its heterogeneity in terms of C cycling potential. Moreover, the E + WCB showed a higher preservation of recalcitrant C compounds in microaggregates and silt + clay fractions. Thus, the proposed Technosols presented a significant potential to stabilize C in aggregate size fractions, and may contribute to long-term C storage while providing an on-site strategy for the final disposal of this type of urban waste.
Low Insulin-Like Growth Factor-1 Levels Are Associated with High Comorbidity of Metabolic Diseases in Subjects with Severe Obesity
Authors: Kubo Haremaru , Sawada Shojiro , Satoh Michihiro , Asai Yoichiro , Kodama Shinjiro , Takahashi Kei , Kaneko Keizo , Imai Junta , Katagiri Hideki , Sato Toshihiro , Tomiyama Seitaro , Seike Junro 
Published: August 2022

Abstract
Insulin like growth factor-1 (IGF-1) plays important roles in metabolic functions, especially in adulthood. Additionally, obese subjects are reportedly predisposed to having low absolute IGF-1 levels. However, the prevalence and clinical characteristics of obese subjects with low IGF-1 levels are unknown. We examined 64 severely obese subjects (body mass index (BMI) ≥ 35 kg/m2), with no history of endocrinological disorders, receiving inpatient care. IGF-1 levels were interpreted based on the IGF-1 standard deviation score (SDS) clinically used and standardized by age and sex (low IGF-1 group; ≤ -2.0 SDS and standard IGF-1 group; -2.0 < and < +2.0 SDS). Notably, 26.6% of severely obese subjects had low IGF-1. Body fat mass and percentage, but not BMI, were significantly higher in the low than in the standard IGF-1 group. Furthermore, natural log-transformed high-sensitivity C-reactive protein, and the frequencies of dyslipidemia and hyperuricemia were higher in the low IGF-1 group. Moreover, among the subjects without diabetes, fasting glucose levels were significantly higher in the low IGF-1 group. Stepwise variable selection procedure revealed body fat percentage to be a parameter most strongly associated with low IGF-1. Thus, low IGF-1 levels may be an important marker of adiposity-associated metabolic disorders in severely obese patients.