bluuebunny/crossref_metadata_2025_split huggingface dataset:
The g-C 3 N 4 -TiO 2 nanocomposite for non-volatile memory and artificial synaptic device applications
Authors: Patil Snehal L. , Patil Harshada S. , Sutar Santosh S. , Kamble Girish U. , Kim Deok-kee , Kim Jin Hyeok , Kim Tae Geun , Dongale Tukaram D. , Tarwal N. L. 
Published: March 2023

Abstract
Recently, 2D layered materials like graphitic carbon nitride (g-C3N4) are gaining significant attention due to their excellent structural and electronic properties. Metal oxide and g-C3N4 composite can enhance chemical and electronic properties which can ultimately enhance device performance. Given this, we report the synthesis of g-C3N4–TiO2 nanocomposite by the ex-situ (solid state reaction) method for resistive switching (RS) applications. Initially, the TiO2 nanoparticles (NPs) were optimized by using annealing them at different temperatures and composited with the g-C3N4. The devices fabricated using g-C3N4–TiO2 nanocomposite show good RS properties at very low SET and RESET voltages (< 0.5 V), similar to biological voltage scale. The distribution of switching voltages of all devices was studied using the cumulative probability and Weibull distribution techniques. Moreover, switching voltages were modeled and predicted using the statistical time series analysis method. All fabricated devices demonstrated the double-valued charge flux characteristics, suggesting the presence of a non-ideal memristor effect. The optimized g-C3N4-TiO2 (TiO2 NPs annealed at 450 oC) device shows good endurance and retention memory properties. Moreover, the optimized g-C3N4-TiO2 device can mimic the various bio-synaptic properties such as potentiation-depression, excitatory postsynaptic current, and paired-pulse facilitation. The charge transport results reveal that Ohmic and Child's square law dominated the conduction of the device. Based on electrical and charge transport results, a plausible filamentary RS effect is presented. This study suggested that the g-C3N4-TiO2 is beneficial for both memory and neuromorphic computing applications.
Clustering of lifestyle risk factors for stomach cancer and screening behaviors: results from the 2019 Korean National Cancer Screening Survey
Authors: Trinh Thao Thi Kim , Lee Kyeongmin , Oh Jin-Kyoung , Suh Mina , Jun Jae Kwan , CHOI KUI SON 
Published: March 2023

Abstract
This study aimed to investigate clustering patterns of lifestyle risk factors for stomach cancer and examine the association of risk factor clusters with stomach cancer screening adherence. Data from the 2019 Korean National Cancer Screening Survey, an annual cross-sectional nationwide survey, were used. The study population included 3,539 adults aged 40–74 years with no history of cancer. Six stomach cancer risk factors, including smoking, drinking, physical inactivity, obesity, meat intake, and salted food intake, as well as stomach cancer screening behaviors, were assessed. The most frequent risk factor for stomach cancer was physical inactivity, followed by smoking in males and high salted food intake in females. Compared with subjects with no risk factors, those with three or more risk factors were less likely to adhere to screening guidelines (males: adjusted odds ratio [aOR] = 0.35, 95% confidence interval [CI]: 0.23–0.53; females: aOR = 0.32, 95% CI: 0.21–0.48). Our findings indicate a disparity in stomach cancer screening, such that those with more risk factors are less likely to get screened. Increasing public awareness, providing behavioral counseling, and targeting high-risk populations for screening interventions are critical for promoting cancer screening adherence and reducing the disparity in cancer screening.
Effective Three-dimensional Thermal Conductivity Networks in Polystyrene/Multi-walled Carbon Nanotubes/Al2O3@h-BN Composites Based on Synergistic Effects and Isolated Structures
Authors: Wang Zhengfang , Wu Zijian , Yang Changjie , Sun Mingqi , Weng Ling , Wasnik Priyanka , Li Handong , Algadi Hassan , Annamareddy Sri Hari Kumar , Srid Deepak 
Published: March 2023

Abstract
Enhancing the thermal conductivity (λ) of composites by establishing an effective thermally conductive path is the key to prepare thermally conductive composites. In this study, a new preparation method was used to achieve high λ of composites with low filler contents. Firstly, multiwalled carbon nanotubes (MWCNT) and alumina (Al2O3) established a synergistic thermal conductivity network in the polystyrene spheres, and subsequently, the hexagonal boron nitride (h-BN) filler wrapped in the outer layer of the composite spheres constructed a continuous h-BN thermal conductivity network during the hot-pressing process. The three-dimensional thermal conductivity network supported by the two thermal conductivity networks provided more pathways for heat transfer in the composite, thus significantly improving its λ. The λ of the composites increased to 3.36 W/mK for MWCNT content of 0.5 wt%, Al2O3 content of 0.5 wt%, and h-BN content of 30 wt%. The composite also has good insulating properties, with a conductivity value of only 3.21×10-9 S/cm at an h-BN content of 30 wt% and MWCNT content of 0.5 wt%. This results from the presence of a h-BN insulation layer on the outside of the composite sphere and the presence of Al2O3 in the synergistic network that blocks the electron transport inside the material, thus maintaining its good insulating properties. Therefore, the composite prepared in this paper has the potential to be used in the field of electronic packaging.
Forced response and internal variability in ensembles of climate simulations: Identification and analysis using Linear Dynamical Mode decomposition
Authors: Gavrilov Andrey , Kravtsov Sergey , Buyanova Maria , Mukhin Dmitry , Loskutov Evgeny , Feigin Alexander 
Published: March 2023

Abstract
Estimating climate response to observed and projected increases in atmospheric greenhouse gases usually requires averaging among multiple independent simulations of computationally expensive global climate models to filter out the spontaneous internal climate variability.
Studies have shown that advanced pattern recognition methods allow one to obtain accurate estimates of the forced climate signal from just a handful of such climate realizations. The accuracy of these methods for a fixed ensemble size, however, decreases with an increasing magnitude of the low-frequency, decadal and longer internal climate variability. Here we generalize a previously developed Bayesian methodology of Linear Dynamical Mode (LDM) decomposition for spatially extended time series to enable joint identification and analysis of forced signal and internal variability in ensembles of climate simulations, a methodology dubbed here an ensemble LDM, or ELDM. The new ELDM method is shown to outperform its pattern-recognition competitors by more accurately isolating the forced signal in small ensembles of both toy- and state-of-the-art climate-model simulations. It is able to do so by explicitly recognizing a non-random structure of the internal variability, identified by the ELDM algorithm alongside the optimal forced-signal estimate, which allows one to study possible dynamical connections between the two types of variability. The optimal ELDM filtering provides a unique opportunity for objective intercomparison of decadal and longer climate variability across different global climate models --- a task that proved difficult due to uncertainties associated with the noisy character and limited length of historical climate simulations combined with parameter uncertainties of alternative signal-detection methods.
Two-Dimensional Metalloid Eutectic Selenium-Iodide Cathodes for Cascade High-Energy Batteries
Authors: Qian Mengmeng , Wu Feng , Zhu Qiaonan , Yu Chuguang , Zhang Junfan , Wang Jing , Song Tinglu , Wang Meng , shao ruiwen , Mao Pengcheng , Su Yuefeng , Wang Hua , Tan Guoqiang 
Published: March 2023

Abstract
Despite the significantly high theoretical energy of conversion-based M‒X (M=Li/Na/K; X=S/Se/Te/Br2/I2) batteries, the electrical insulation intrinsic and severe shuttle behavior result in unsatisfactory energy output and cycle life. Here we develop a new cascade battery that couples two sequential redox reactions in a single system to endow higher output energy. This cascade battery is achieved by simply employing a self-assembled 2D cathode architecture directly synthesized by a eutectoid reaction of 4Se+CI4=4SeI+C, simultaneously constructing metalloid eutectic Se-I compounds encapsulated into carbon nanocages. Such composite cathode exhibits a distinctive 2D core-shell structure, extraordinary electrical conduction and fast synergistic activation, accordingly enabling an ultrahigh energy density (345.7 Wh kg−1) and an ultralong cycle life (90.1% for 1000 cycles) in a representative Li−SeI battery. Ingeniously, the involvement of two-redox in one-cell by synchronous material consolidation strategy offers a promising direction for the design of advanced high-energy batteries with the cascading effects.
Similarity-assisted Variational Autoencoder forNonlinear Dimension Reduction with Applicationto Single-cell RNA Sequencing Data
Authors: Chun Hyonho , Kim Gwangwoo 
Published: March 2023

Abstract
Background: Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying outliers. The Variational autoencoder (VAE) is a popular deep generative method equipped with encoder/decoder structures. The encoder and decoder are useful when a new sample is mapped to the latent space and a data point is generated from a point in a latent space. However, the VAE tends not to show grouping pattern clearly without additional annotation information. On the other hand, similarity-based dimension reduction methods such as t-SNE or UMAP present clear grouping patterns even though these methods do not have encoder/decoder structures. To bridge this gap, we propose a new approach that adopts similarity information in the VAE framework. In addition, for biological applications, we extend our approach to a conditional VAE (CVAE) to account for covariate effects in the dimension reduction step.
Results: In the simulation study and real single-cell RNA sequencing data analyses, our method shows great performance compared to existing state-of-the-art methods by producing clear grouping structures using an inferred encoder and decoder. Our method also successfully adjusts for covariate effects, resulting in more useful dimension reduction.
Conclusions: Our method is able to produce clearer grouping patterns than those of other regularized VAE methods by utilizing similarity information encoded in the data via the highly celebrated UMAP loss function.
Amiodarone Induced Myxedema Coma: A Systematic Review of Case Reports
Authors: Alnaeem Mohammad M. , Mansour Nadeen Hussein , Alwahsh Bayan Suliman , Nashwan Abdulqadir J. 
Published: March 2023

AbstractObjective The current systematic review examined whether elderly patients who received amiodarone were at risk for developing myxedema coma. Methods The Cochrane guidelines were used for a systematic review of Medline (PubMed), Science Direct, CINAHL Cochrane database, and Google Scholar for case reports on the Amiodarone-induced myxedema coma. Results A total of 12 case reports were found to meet the determined inclusion criteria. Patients who received amiodarone highly risk of developing myxedema coma. Case reports showed that patients received 100–200 mg of amiodarone orally and developed bradycardia and hypothermia with elevation in thyroid stimulating hormone. Most patients were treated with levothyroxine and hydrocortisone medication upon diagnosis. Conclusion The various possible causes of Myxedema coma make diagnosis difficult. Through clinical symptoms and serum TSH, the diagnosis could be confirmed. Amiodarone-induced Myxedema coma was successfully treated with levothyroxine and glucocorticoids.
Expression profiles of circular RNAs in spermatozoa from aging men
Authors: Zhou Qiao , Liu Anming , Ji Hui , Ji Juan , Sun Jingwen , Ling Zhonghui , Li Guangyao , Ling Xiufeng , Xu Lu , Chen Xiaoning 
Published: March 2023

Abstract
Background Advanced paternal age (APA) is associated with decreased fertility, but the mechanism underlying APA remains unknown. CircRNAs have been reported to be ideal candidate biomarkers for diagnostic and therapeutic applications in many diseases and are also involved in spermatogenesis. Hence, we aimed to assess the circRNA expression profile of spermatozoa from aging men.
Methods and Results We recruited 6 subjects, including 3 in the younger group (men age < 40) and 3 in the APA group (men age≥40). RNA sequencing was exploited to identify the expression profiles of circRNAs between the two groups. The expression levelsof circRNAs were validated using real-time quantitative polymerase chain reaction (RT–qPCR). Kyoto Encyclopedia of Genes and Genomes biological pathway analysis and Gene Ontologyanalysis were performed to evaluate the functions of differentially expressed circRNAs (DE-circRNAs) between the two groups. In total, 18,787 circRNAs were sequenced in the spermatozoa of two groups. Our analysis revealed that there were 1056 downregulated circRNAs and 1228 upregulated circRNAs between the two groups, and KEGG analysis showed they were mainly involved in pathways including the DNA repair signaling pathway, meiotic recombination signaling pathway, and PI3K/AKT signaling pathway.
Conclusions In conclusion, our study suggested that circRNAs play a vital role in spermatozoa from aging men and provided a fresh perspective on the specific regulatory mechanism of spermatozoa from aging men.
Approach to real-time patient case integrity control based on TiCDC+Kafka
Authors: LI YAN-PING , YIN PAN-LONG , XU GUANG-ZHU , SANG YE , TU GUANG-QUAN 
Published: March 2023

Abstract

We propose a real-time case integrity control method that is configurable and easily scalable because the traditional case quality in hospitals is low. Existing electronic case quality control systems are poorly scalable, have a single business scenario, and changes in quality control rules can easily put development and maintenance under pressure. We first standardize the monitoring record messages from the hidden points of every medical business system and gather the monitoring record data via the integration platform; next, we build a case integrity control algorithm based on the guidelines for hospital case integrity control; and finally, we design a real-time case integrity control system based on TiCDC and Kafka technology. The findings demonstrate that the real-time case integrity control system and integrity control algorithm based on TiCDC and Kafka technology can sense and acquire case monitoring data in real-time, and can provide real-time case integrity control and result from feedback, while the quality control rules are simple to extend.
The Effect of Piped Water at Home on Childhood Overweight Rate: Experimental Evidence from Urban Morocco
Authors: Ritter Patricia I 
Published: March 2023

Abstract
Obesity is a global epidemic costing billions of dollars and millions of deaths. The most cost-effective interventions are those that target children, aiming to prevent obesity rather than to reverse it later in life. Roughly 79% of overweight children under five live in middle-income countries, where only about half of the households have access to piped water at home. This study finds that access to piped water at home reduces children's overweight rate in the city of Tangiers. Back-of-the-envelope calculations suggest that these benefits alone do not render this type of intervention cost-effective but adds significantly to other potential benefits.
JEL Classification: I12, I18, H41, O12
Decameter Type IV Burst with High Polarization on 13 July 2022
Authors: Melnik V. N. , Brazhenko A. I. , Frantsuzenko A. V. , Dorovskyy V. V. , Shevchuk M. V. 
Published: March 2023

Abstract
We discuss properties of Type IV burst observed by radio telescopes URAN-2 (Ukrainian Radio Interferometer of NASU-2) and NDA (Nançay Decameter Array) on 13 July 2022. This burst was registered at frequencies 26–80 MHz and lasted from 07:00 to 12:00 UT. It had the fine structure in the form of sub-bursts similar to decameter Type III-like bursts, with negative frequency drift rates from − 5MHz/s to -21MHZ/s and sometimes with positive drifts. Their durations were from 1 s to 2.6 s in most cases and maximum fluxes were up to 700 s.f.u. At the same time maximum polarization of Type IV burst was 100%. It is very unusual for decameter Type IV bursts because as a rule this value is about 40%. This Type IV burst was not associated with any CME. We discuss properties of this Type IV burst in the plasma model of radio emission.
Opioid, sedative, pre-admission medication and iatrogenic withdrawal risk in UK adult critically ill patients: a point prevalence study
Authors: Eadie Rebekah , McKenzie Cathrine Anne , Hadfield Daniel , Kalk Nicola J , Bolesta Scott , Dempster Martin , McAuley Daniel F , Blackwood Bronagh 
Published: March 2023

Abstract
Background: Iatrogenic withdrawal syndrome, after exposure medication known to cause withdrawal is recognised, yet under described in adult intensive care.
Aim: Investigate, opioid, sedation and preadmission medication practice in critically ill adults with focus on aspects associated with iatrogenic withdrawal syndrome
Methods: One-day point prevalence study in UK ICUs. We collected ICU admission medication and/or substances with withdrawal potential, sedation policy, opioid and sedative use, dose, and duration.
Results: 37 from 39 participating ICUs contributed data from 386 patients. The prevalence rate for parenteral opioid and sedative medication was 56.1%, (212 patients). 23 ICUs (59%) had no sedation/analgesia policy, and no ICUs screened for iatrogenic withdrawal. Patient admission medications with withdrawal-potential included antidepressants or antipsychotics (43, 20.3%) and nicotine (41, 19.3%). Of 212 patients, 202 (95.3%) received opioids, 163 (76.9%) sedatives and 153 (72.2%) both. 202 (95.3%) patients received opioids: 167 (82.7%) by continuous infusions and 90 (44.6%) patients for longer than 96-hours. 163 (76.9%) patients received sedatives: 157 (77.7%) by continuous infusions and 74 (45.4%) patients for longer than 96-hours.
Conclusion: Opioid and sedative prevalence rates were high, and a high proportion of ICUs had no sedative/analgesic policies. Nearly half of patients received continuous opioids and sedatives for longer than 96-hours placing them at high risk of iatrogenic withdrawal. No participating unit reported using a validated tool for iatrogenic withdrawal assessment.
Microbial interaction between human skin and Nukadoko, a fermented rice bran bed for pickling vegetables
Authors: Niwa Ryo , Seong Young ah , Jo Kazuhiro , Ito Kohei , Chen Dominique 
Published: March 2023

Abstract
Fermentation is a broad term that refers to the use of microorganisms in various applications, including food preservation. In particular, pickles that are flavored through microorganism-mediated fermentation of vegetables are widely produced. Nukadoko(fermented rice bran bed) is a type of pickles and traditional fermented food in Japan that utilizes lactic acid bacteria to ferment vegetables. The microbial composition in the rice bran bed contributes to the flavor of pickled products. However, the origin of the microbes present in the rice bran bed has yet to be determined and no studies have examined how the skin microbiome, which varies widely from individual to individual, affects the quality of Nukadoko. In this study, the effects of interaction of microbes between Nukadoko and the human skin during Nukadoko maintenance were studied. Three participants were asked to stir commercially available late-stage Nukadoko for 14 days and not stir it for the remaining 14 days to examine microbial settlement and shedding. Microbiome analysis was performed on human skin and Nukadoko. We found that microorganisms from rice bran beds can temporarily settle on human skin but are shed quickly. Stirring rice bran beds by hand may have short-term effects on the skin microbiome. This study provides insights into the communication between human and food microbiomes in traditional Japanese fermented foods.
Are Wind Turbines Integrated Into Landscape? An Analysis of Its Social Perception in a Spanish Mediterranean Area
Authors: López-Martínez Francisco 
Published: March 2023

Abstract
Context
Renewable energy development has introduced wind farms as a common landscape element. However, as a human-made elements, wind farms do not cause the same detriment on landscape visual quality according to socio-demographic characteristics of the beholder.
Objectives
In this regard, the study analyses the population’s visual perception of wind farms into Mediterranean landscapes regarding three social variables: gender, age and education level.
Method
People´s preferences were assessed through an on-line survey with several landscape photographs with and without wind turbines. Subsequently, the score of each photograph was statistically analyzed according to the landscape shown and the socio-demographic variables considered.
Results
The results demonstrate how vegetation had a positive effect in landscape' scenic beauty, especially forestry, as well as people do not perceive negatively wind turbines presence. In fact, their implementation in deteriorated or low scored landscapes improves scenic beauty. Lastly, despite the fact that gender, age and education do not influence on people´s perception, there is a trend between these factors and wind turbines landscape influence.
Conclusions
In addition to reinforce the vegetation positive influence in landscape' scenic beauty, wind turbines have become an additional landscape element that, in general, do not have a negative impact on its scenic beauty but, according to age, they have different consideration.
Scenario analyses to reach smart sustainability in Tehran
Authors: Hatami Afshar , Sasanpour Farzaneh , Asadzadeh Haniyeh , Bodegom P.M. van 
Published: March 2023

Abstract
The 21st-century provides major challenges to mankind including rapid urbanization, population growth, and socio-economic, physical and environmental pressures. To find an optimal balance between economic growth and environmental protection in modern cities, smart sustainability approach are essential. Here, we aim at introducing the future smart sustainable city (SSC) and investigate scenario projections for reaching such smart sustainability city. Tehran metropolis, as capital of Iran, faced many of the issues mentioned above in the last five decades and is used as case study for our explorations. For this purpose, we evaluated the environmental factors that were most important for environmental sustainability in Tehran. These factors were subsequently incorporated in three scenarios for 2030 being smart sustainable Tehran, uncontrolled Tehran and unsmart and unsustainable Tehran. Also, the results of this study indicate the need for the involvement of Tehran city managers and planners in national issues and challenges to guide them towards useful management and its associated challenges for the Tehran metropolis.