bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dependency on external power supply to operate large-scale heat pumps to decarbonize Cogeneration-based District Heating Networks.
Authors: Hurst Georg , Jentsch Andrej , Blesl Markus 
Published: September 2022

Abstract
The sector integration of large-scale heat pumps (LSHP) into existing district heating networks (DHN), most of which are operated by combined heat and power plants (CHP), is observed to grow rapidly over the past few years. Due to significant lower operational and initial costs, the predominant configuration in DHN is a CHP+LSHP combination, where the LSHP is operated by internal power supply, provided by the CHP-plant. In a dynamic simulation based on aggregated data over the course of one year, specific CO2-emissions are calculated according to the exergetic Carnot methodology, fulfilling the first and sec-ond law of thermodynamics. In order to determine and quantify the ecologic benefit of a generic sector integrated LSHP, the specific CO2-emissions of the heat of the most common CHP-plants are compared to a LSHP operated by internal (CHP+LSHP) and external power supply (electrical grid and volatile renew-able energy sources (RES)). The analysis shows, that a generic LSHP operated by internal power supply out of every examined CHP-plant, seasonally independent generates heat with higher specific CO2-emissions over the heat from the CHP-plant alone. In contrast, the heat provided by the LSHP operated with external electricity from RES, achieves 5 to 16-fold lower CO2-emissions showing, that with growing share of power from RES in the electric grid, regulation to ensure that external power supply is economically feasible will be mandatory in order to achieve ecologic beneficial operation of sector integrated LSHPs.
Comparative study of cinnamon and paprika oleoresins encapsulated by spray chilling and particles from gas saturated solutions techniques: evaluation of physical characteristics and oleoresins release in food simulated media
Authors: Procopio Fernanda Ramalho , Klettenhammer Stefan , Ferrentino Giovanna , Scampicchio Matteo , Sobral Paulo José Amaral , Hubinger Miriam Dupas 
Published: September 2022

Abstract
In this study, cinnamon and paprika oleoresins were encapsulated by two technologies, respectively, spray chilling and particles from gas saturated solutions. Both technologies used palm oil as wall materials. The physical characteristics of the microparticles were compared as well as the oleoresins release behavior in high and low-fat simulated food media. The spray chilling microparticles had an average diameter of 143.7 ± 1.5 µm, spherical shape, smooth surface and passable flow property. In contrast, microparticles obtained by PGSS showed an average diameter of 105.7 ± 0.6 µm, irregular shape, porous surface, poor flow property but higher encapsulation efficiency. In evaluating the compounds released in a simulated food medium, the spray chilling particles delivered 30.7%, while PGSS reached 23.1% after one hour. Both microparticles fitted better to Kosmeyer-Peppas (R2 = 0.98 and 0.96 for spray chilling and PGSS) and Peppas-Sahlin models (R2 = 0.98 and 0.97 for spray chilling and PGSS). However, spray chilling microparticles showed a diffusion mechanism while for PGSS ones erosion was the main mechanism. Despite the different physical characteristics, both microparticles proved to be possible facilitators in delivering oleoresins in food products.
Consumption of porridge at Carcinogenic Temperature and Associated Factors in Esophageal Cancer Endemic Area in Ethiopia
Authors: Deybasso Haji Aman , Roba Kedir Teji , Belachew Tefera 
Published: September 2022

Abstract
Background:- The consumption of a self-reported “hot porridge” was reported as a major dietary risk factor for the increased incidence of esophageal cancerin hot spot areas in Ethiopia. However, no study has quantitatively assessed the porridge consumption temperature and associated factors among households living in endemic areas in Ethiopia and elsewhere.
Methods: - A community-based cross-sectional study was conducted from November 1 to December 30, 2020. The porridge temperature was measured using a digital thermometer (HANNA instruments®, Woonsocket, RI, US). Bivariate and multivariate logistic regression analyses were used to check the association between independent and dependent variables. Adjusted odds ratio and 95% confidence interval were used to measure of strengths of the association. Statistical significance was declared at a P-value of less than 0.05.
Result: - A total of 301 (149 Wheat, 88 Maize, and 64 Barley) utensils of porridge were measured for consumption temperature. Eighty-four percent (95% CI: (79.7, 87.7%)) of the households commenced porridge consumption at a probably carcinogenic temperature (>65 ℃). Serving porridge in a wooden bowl(Qorii) (AOR=2.0, (95%CI: (1.008, 4.310)) and wheat porridge (AOR=4.6, (95% CI:(1.936,11.406) were independent determinants of the consumption of porridge at a probably carcinogenic temperature.
Conclusion: -Substantial number of households in the study area consume porridge at an extremely higher temperature which may cause severe thermal injury to the esophagus. Households who consume wheat porridge and use a wooden serving utensil should wait until the porridge cools down to the optimum temperature for consumption.
Prediction and Optimization of Thermal Conductivity and Viscosity of Stable Plasmonic TiN Nanofluid Using Response Surface Method For Solar Thermal Application
Authors: Karmare Suhas , Patil Pradeep , Deshmukh Kishor 
Published: September 2022

Abstract
Nanofluids open a new dimension in solar thermal applications due to their enormous thermophysical properties. The preparation of stable, efficient, and low-cost nanofluids is an emerging area of research. According to NIMS (National Institute of Material Science) research, Titanium nitride (TiN) nanoparticles have localized surface plasmon resonance properties. It enables a superior photoabsorption feature. Titanium nitride (TiN) particles of 40–50 nm sizes were selected to prepare distilled water-based nanofluid at a 0-0.1% volume concentration range. The Thermal conductivity and viscosity of TiN nanofluids and base fluid are measured experimentally at temperatures 30℃ to 55℃. Determination of thermal conductivity and viscosity of nanofluid through experimentation is cumbersome. The present study deals with thermal conductivity and viscosity modeling of water-based stable plasmonic TiN nanofluid using the surface response method. ANOVA is used to determine the significance of input variables and their interaction. The performance of both predictive models was measured in terms of correlation coefficient (R2) and mean square error (MSE) to acknowledge the best fit. The surface response method optimizes process parameters using reliable and efficient model results for maximum heat transfer enhancement. The maximum thermal conductivity (0.8848 W/mK) and minimum viscosity (0.7822 cP) obtained at 55℃ and 0.0535% volume concentration.
The distribution of submerged macrophytes in response to intense solar radiation and salinity reveals hydrogen peroxide as an abiotic stress indicator
Authors: Asaeda Takashi , Rashid Md Harun , Liping Xia , Vamsi-Krishna Lekkala , Barnuevo Abner , Takeuchi Chizuru , Rahman Mizanur 
Published: September 2022

Abstract
The feasible condition for submerged macrophytes to grow is hard to understand as many environmental factors contribute to establish their distribution with different intensities.
Hydrogen peroxide (H2O2) is one of reactive oxidative species (ROS) was investigated to assess the possibility as an indicator to evaluate the submerged macrophyte species distribution in a lake. Submerged macrophytes such as Potamogeton anguillanus was abundant in Lake Shinji. The biomass distributed largest at around 1.5m deep, under low solar radiation intensity, and no biomass was found in less than 0.3 m deep, where solar radiation was high. Diurnally, H2O2concentration of the tissues varied in response to the photosynthetic active radiation (PAR) intensity, which was followed by antioxidant activities, though slightly delayed. Laboratory experiments were conducted either with different PAR intensities or with different salinity concentration. The H2O2was stably maintained for 30days up to about 200mmol/m2/s of PAR, however, gradually increased with higher PAR. The H2O2concentration became higher with higher salinity. Chlorophyll a (Chl-a) concentration, changed associated with the changing H2O2 concentration, however, following a unique negative relationship with H2O2concentration. However, if H2O2 exceeded 45mmol/g FW, then the homeostasis collapsed, then H2O2 and Chl-a significantly declined afterwards. These results indicated the negative effect of H2O2on the physiological condition of the plant. The increase in H2O2concentration was prevented by antioxidant activities, which increased with increasing H2O2 concentration.
Soil microbial communities from fertile islands under semi-arid conditions in La Guajira, Colombian Caribbean
Authors: Leal Leslie , Franco Diego C. , Vanegas Javier 
Published: September 2022

Abstract
Fertile islands are key ecological arrangements for slowing desertification processes in arid and semi-arid environments. These islands harbor a great variety of microorganisms that play an important role in their establishment and dynamics. The taxonomic and functional diversity of bacteria on these islands is conditioned by the nurse tree and the characteristics of their environment. However, the microbial diversity associated with these vegetation patterns is not described in the semi-arid environments of northern South America. The present study analyzed the taxonomic and functional diversity of soil microbial communities of fertile islands belonging to three species of nurse trees in the Colombian Caribbean during a wet and a dry season. DNA extraction and massive sequencing were performed from soil surface samples under the nurse plant canopy and bare soil. The SILVA database was used for taxonomic analyses, DIAMOND and the KEGG database for functional analyses, and STAMP for statistical differences. Taxonomic and functional diversity was mainly determined by seasonality and the presence or absence of vegetation. No significant differences were found among nurse plant species. The highest taxonomic abundances were recorded in the dry season under the nurse tree for the phyla Proteobacteria and Actinobacteriota, and the genera Sphingomonas, Azospira, Solirubrobacter, Flavisolibacter, and Geodermatophilus. While the highest functional potential was detected in the wet season. The presence of several biogeochemical cycling modules and unique genera suggest the presence of microniches that could be differentiated by oxygen tension and nutrient availability due to seasonality and the presence or absence of vegetation.
Early prediction model for prognosis of patients with hepatitis-B-virus-related acute-on-chronic liver failure received glucocorticoid therapy
Authors: Gao Shuai , Han Li-Yan , Fan Yu-Chen , Wang Kai 
Published: September 2022

Abstract
Background: Early prediction for short-term prognosis is essential for the management of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). In this study, we aim to establish a noninvasive model for predicting the 90-day mortality in patients with HBV-ACLF received glucocorticoid therapy.
Methods: Two hundred and eighty patients with HBV-ACLF were enrolled from July 2010 to June 2022. All patients received routine medicine treatment and 204 of them received additional glucocorticoid treatment. Then, the HBV-ACLF patients received glucocorticoid treatment were randomly divided into a training cohort and a validation cohort. An early prediction model for 90-day mortality of HBV-ACLF was built in the training cohort and then validated in the validation cohort.
Results: HBV-ACLF patients received glucocorticoid treatment showed significantly better survival that those not (P < 0.01). In the training cohort, a noninvasive model was generated with hepatic encephalopathy grade, INR, total bilirubin, age and SIRS status, which was named HITAS score. It showed significantly better predictive value for 90-day mortality of HBV-ACLF than MELD score and Child–Turcotte–Pugh score in both the training cohort and validation cohort. Using the Kaplan-Meier analysis with cut-off points of 2.5 and 3.47, the HITAS score can classify HBV-ACLF patients into different groups with low, intermediate and high risk of death after glucocorticoid therapy.
Conclusions: We proposed a HITAS score, which was an early prediction model for the prognosis of HBV-ACLF. It might be used to identify HBV-ACLF patients with favorable responses to glucocorticoid treatment.
Supervised Hybrid Framework for Addressing Word Sense Ambiguity with Special Focus on English-to- Sanskrit Machine Translation
Authors: Maurya Archana Sachindeo , Bahadur Promila , Sharma Rajat 
Published: September 2022

Abstract
One of the most important application of Natural Language Processing is Machine Translation (MT). It is an automated process of translation through a computer system. Machine Learning (ML) is one of the recent methods used in MT, and it has become a buzzword in the area of research over the last numerous years. Ambiguity is a major challenge in MT. ML has given promising results in terms of system learning and predicting results. The text classification technique in Machine Learning is considered as one of the most important methods to resolve Word Sense Disambiguation (WSD). The role of Dataset both as Training and Test data is important to predict the required results. We have taken data size of 2000 sentences which is further divided as training and test data. The dataset plays a pivotal role in validating the output of the system. We have also done an analysis on supervised machine learning text classification algorithms namely Naïve Bayes’, Decision Tree, Support Vector Machine (SVM), K-nearest Neighbor (KNN), Neural Network, Logistic Regression and Random Forest. The accuracy of the given algorithms range between sixty-eight to eighty-four percent. Further, we have also done analysis on proposed a “hybrid model” for prediction of POS ambiguity. In the proposed model, we have combined the Naïve Bayes’, Support Vector Machine and Decision Tree algorithms to achieve better results. The proposed model has reported an accuracy of eighty-five percent. The accuracy of the algorithms and model is tested using tenfold cross-validation method. The model has also reported high precision, recall and F-score in comparison to all supervised machine learning classification algorithms. The correctness of algorithm and model is tested in terms of the total number of correct POS predicted. The algorithms and proposed model are analyzed with the help of machine learning tool developed named as “AmbiF”.
Safety, Tolerability and Pharmacokinetics of Single-dose Oral SYHA1402 in Chinese Healthy Subjects
Authors: Liang Beibei , Wang Jin , Zhang Guanxuanzi , Wang Rui , Cai Yun 
Published: September 2022

Abstract
Objective
To assess the safety, tolerability and pharmacokinetics of a single dose of SYHA1402 in Chinese healthy subjects.
Methods
This was a randomized, double-blind, placebo-controlled, single-ascending dose study in healthy subjects. Subjects received a single dose of 25mg (n = 4), 50mg (n = 8), 100mg (n = 8), 200mg (n = 8), 400mg (n = 8), 800mg (n = 6) or matching placebo (n = 12, 2 in each dose group). We assessed safety and tolerability throughout the study. The pharmacokinetic (PK) parameters of SYHA1402 were estimated using non-compartmental analysis.
Results
In all, 54 subjects were enrolled and completed the study. Specifically, there were no deaths, serious adverse events, or withdrawals from study due to adverse events. All treatment-emergent adverse events were mild. The most common drug-related adverse event was sinus bradycardia. The time to maximum concentration ranged from 1.13 to 2.25 h. The terminal elimination half-life range of SYHA1402 was 1.51 h to 4.70 h. SYHA1402 exhibited nonlinear PKs with less than dose-proportional increases in exposure after single oral doses of 25 mg to 800 mg. Fe0 − 72h from urine of SYHA1402 in each dose group from 25 mg to 800 mg was 64.08%, 57.97%, 59.28%, 24.64%, 8.49%, 7.15%, respectively.
Conclusion
Single dose of SYHA1402 was well tolerated and safe over the dose range of 25–800 mg. More than 50% of the unchanged SYHA1402 were excreted in urine within the dose range of 25–100 mg. With the dose increasing to 800 mg, the urine excretion amount of SYHA1402 gradually tends to saturation.
Trial registration number
NCT03988413 (https://www.clinicaltrials.gov/)
Trial registration date
June 17, 2019
Date of first patient’s enrollment:
August 5, 2019
A Simple Diagnostic for Assessing Internal Dynamical Constraints on Tropical Cyclone Intensity
Authors: Lu Ping , Done James M. , Jing Renzhi , Yang Long , Li Yuanlong , Wang Danyang , Lin Yanluan 
Published: September 2022

Abstract
The upper bound of tropical cyclone (TC) intensity is usually estimated from the available thermodynamic energy in the environment. But internal dynamics of the vortex also put constraints on TC intensity. Here we show quantitatively the internal constraints on maximum wind speed using a simple diagnostic computed from maximum wind speed, radius of maximum wind, and latitude of the storm. With global observations and reanalysis data of TCs during 2001-2020, this diagnostic is found to occur in more than half of the storms with rapid intensification, and coincides with drastic halt of rapid intensification despite little change in the environment (e.g., sea surface temperature, relative humidity, and wind shear). This diagnostic highlights the importance of pressure-wind relationship in internal dynamical control on storm intensity, and provides a valuable tool to improve the understanding, modeling, and prediction of storm intensity evolution.
Obstacle Avoidance and Navigation of Bio-inspired Autonomous Underwater Vehicle using Fuzzy Logic Controller and Neuro-Fuzzy controller
Authors: V Aruna M 
Published: September 2022

Abstract
Autonomous Underwater Vehicles (AUVs) are pre-programmable, robotic vehicles that can float, drive, or slide through the sea without operators and have real-time control, depending on their configuration. Biologically inspired AUVs (BAUVs) are a relatively new invention in the field of underwater vehicles that do away with propellers. Bio-inspired AUVs can be employed for high-speed and low-speed applications with exceptional propulsive efficiency. The navigation control mechanisms of a novel Bio-mimetic autonomous underwater vehicle were investigated in this work. In order to design a navigational system for the vehicle after avoiding obstacles, Fuzzy Logic Controller (FLC) and Neuro-Fuzzy controller approaches are utilized.
Anxiety and Depression in Psychiatry Residents of Universitas Gadjah Mada During Early COVID-19 Pandemic
Authors: Marchira Carla Raymondalexas , Aulia Afkar , Irwen Julian R. , Mediola Fiddina 
Published: September 2022

Abstract
Health workers at the forefront in handling COVID-19 cases are particularly vulnerable to contracting COVID-19 infections and mental health problems. Psychiatry residents who studied and worked in hospitals were expected to provide mental health and psychosocial treatments to health workers and COVID-19 patients. However, it was necessary to know the mental status of psychiatric residents in uncertain situations during the COVID-19 pandemic. We aimed to observe anxiety and depression in psychiatric residents of Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada who worked in Sardjito Hospital during the COVID-19 pandemic. This quantitative non-experimental study was conducted using cross sectional and descriptive analytic design. All 45 psychiatry residents of Universitas Gadjah Mada participated in the study and completed the Taylor Manifest Anxiety Scale (TMAS) and Patient Health Questionnaire-9 (PHQ-9). We used Chi-squared test, Student T-test and Pearson Correlation to understand correlations between demographic characteristics with depression and anxiety level. We found that only age was negatively correlated with the degree of anxiety (r =-0.364, p = 0.014). However, some other variables might be correlated with several behaviors related to anxiety and depression. More study is needed to find the reasons for these correlations and to prevent mental health problems in residents.
Circular RNA circ0001955 promotes cervical cancer tumorigenesis and metastasis via the miR-188-3p/NCAPG2 axis
Authors: Wang Wei , Luo Haixia , Chang Jingjing , Yang Xin , Zhang Xiu , Zhang Qingmei , Zou Binbin , Li Yuanxing , Zhao Yueyang , Liu Jianbin , Hao Min 
Published: September 2022

Abstract

Background Circular RNAs (circRNAs) are known to play a crucial role in a variety of malignancies. However, the precise role of circRNAs in cervical squamous cell carcinoma (CSCC) remains largely unknown. Methods The expression of circ0001955 was determined by real-time quantitative PCR and fluorescence in situ hybridization. To examine the effects of circ0001955 on CSCC metastasis and growth, functional experiments were conducted in vitro and in vivo. Mechanistically, nucleocytoplasmic separation, dual luciferase reporter assay, RNA antisense purification experiments, and rescue experiments were performed to confirm the interaction between circ0001955, miR-188-3p, and NCAPG2 in CSCC. Results Here, we demonstrated that a circRNA derived from the CSNK1G1 gene (circ0001955) is significantly upregulated in CSCC. The overexpression of circ0001955 promotes tumor proliferation and metastasis in vitro and in vivo, whereas the knockdown of circ0001955 exerts the opposite effects. Mechanistically, circ0001955 competitively sponges miR-188-3p and prevents miR-188-3p from reducing the levels of NCAPG2 and activating the AKT-mTOR signaling pathway involved in the proliferation and epithelial mesenchymal transformation. Conclusions Our results demonstrate that circ0001955 plays a vital role in the development and metastasis of CSCC, suggesting that it may serve as a therapeutic target in CSCC.
Micrometer-level localization system with ultra-stable frequency synchronization net
Authors: Zhao Qin , Chen Yiting , Wang Zhengbo , Wang Lijun 
Published: September 2022

Abstract
The ultra-high accuracy indoor and outdoor localization is fundamental for a variety of applications such as industrial automation, Internet of Things and structure monitoring. However, many approaches based on optical methods, ultrasound and computer vision may suffer from insufficient coverage, obstruction or high computing load. In traditional GNSS and radar-like microwave system, further efforts are needed to enhance the accuracy and availability. Now we demonstrate a microwave localization system with ultra-stable frequency synchronization net based on an inverse GNSS scheme. Such a combination effectively improves both the coverage and accuracy since the frequency synchronization net in free space can cover kilometer-level area and serves as reference for phase difference process. The stability of frequency synchronization net is better then $10^{-13}$/s. The ranging resolution is 25 micrometers and the Mean Squared Error (MSE) of three-dimensional localization is 16 micrometers.