bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benzocaine-N-acylindoline Conjugates: Synthesis and Antiviral Activity Against Coxsackievirus B3
Authors: Volobueva Alexandrina , Shetnev Anton , Mikhalski Mikhail , Panova Valeria , Barkhatova Darina , Korshunova Ekaterina , Ivanovskii Sergey , Zarubaev Vladimir , Baykov Sergey 
Published: October 2023

Abstract
Indoline-5-sulfonamide derivatives of benzocaine have been synthesized using a sequence of three reactions: N-acylation, sulfochlorination, and sulfamidation, and their antienteroviral activity has been evaluated. Two compounds, namely, ethyl 4-((1-(cyclobutanecarbonyl)indoline)-5-sulfonamido)benzoate and ethyl 4-((1-benzoylindoline)-5-sulfonamido)benzoate exhibited a medium level of activity against coxsackievirus B3 (Nancy strain) in vitro. Their antiviral potential is exerted upon prophylactic application when added to cell culture before infection with the virus.
Removal of sarafloxacin from aqueous solution through Ni/Al-layered double hydroxide@ZIF-8.
Authors: Samadi-Maybodi Abdolraouf , Davanlo Sahar Abaskhani 
Published: October 2023

Abstract
In recent years, excessive amounts of drugs such as antibiotics have been used to combat COVID-19 and newly discovered viruses. This has led to the production and release of significant amounts of drugs and their metabolites as toxic pollutants in aquatic systems. Therefore, pharmaceutical wastes must be removed efficiently before entering the environment and entering water sources. In this research, Ni/Al-LDH@ZIF-8 nanocomposite was synthesized from layered double hydroxides and metal-organic frameworks and used to remove the antibiotic sarafloxacin (SRF) in the aqueous medium. The work aimed to develop the performance and combine the features of the adsorbent compounds such as high surface area, adjustable porosity, and low-density structure. Different methods implemented to analyze the nanocomposite, such as Fourier transform infrared spectroscopy, X-ray diffraction, field emission scanning electron microscopy, and energy dispersive X-ray spectroscopy. The experiment utilized the central composite design to evaluate statistics and the response level method to optimize the factors affecting the absorption process. The initial concentration of SRF, adsorbent dose, pH, and contact time were considered in this experiment. The results showed an increase in the removal efficiency of SRF to 97%. Statistical studies showed that the optimal adsorption conditions are as follows: initial concentration of SRF 40 mg·L–1, pH 6.3, adsorbent dose of Ni/Al-LDH@ZIF-8 49 mg, and contact time of 44 minutes. According to the model of isotherms parameters, the adsorption process is more consistence with the Freundlich model with the absorption capacity of 79.7 mg·g-1.
Energy Management Strategy for a Hybrid Micro-Grid System Using Renewable Energy
Authors: Ndeke Christian , Adonis Marco , Almaktoof Ali 
Published: October 2023

Abstract
This paper presents an energy management strategy for hybrid renewable micro-grid system. The optimal operation of a hybrid renewable micro-grid system necessitates a sophisticated energy management strategy that can orchestrate the intricate interplay of diverse energy sources and loads while considering factors such as weather variability, demand fluctuations, and equipment limitations. This strategy is crucial in achieving the overarching goals of such systems: maximizing renewable energy utilization, minimizing greenhouse gas emissions, enhancing energy independence, and ensuring grid resilience. Furthermore, the intermittent and weather-dependent nature of renewable sources necessitates a predictive approach that anticipates energy availability and adapts the operation of the system accordingly. The aim of this study was to develop an energy management system for a hybrid renewable micro-grid system to optimize the deployment of renewable energy resources and increase their integration in the power system. Therefore, the main objective of this proposed work was to develop an energy management strategy that controls the flow of energy between the hybrid micro-grid system and the load connected directly as well as the load connected to the utility grid using MATLAB/Simulink software. The second objective was to control the charging and discharging of the battery energy storage. The results show that the developed algorithm was able to control the energy flow between the hybrid micro-grid system and the variable AC load directly connected as well as connected to the utility grid and also to ensure a proper relation between the charging / discharging rate of the battery energy storage system based on their operating conditions and finally, it ensured the SOC of battery remained in the admissible limits (between 20% and 100%).
Changes in the level of unitization moderate the impact of unitization on associative memory
Authors: Liu Zejun 
Published: October 2023

Abstract
Recent studies revealed that unitization could promote familiarity to support associative memory. However, its effects on the associative memory and recollection remain controversial. The current study aims to explain these mixed results by considering a potential moderator: Changes in the level of unitization between the studied and rearranged pairs. In this study, participants were required to learn both related and unrelated picture pairs during the encoding phase. Subsequently, they needed to distinguished intact pairs form rearranged-change and rearranged-no-change pairs at retrieval. The results revealed that unitization can enhance familiarity to support associative memory, while its impact on associative memory and recollection varied depending on the level of unitization changes. Specifically, under the no-change conditions, unitization enhanced the role of absolute familiarity and recollection in supporting associative memory, but it did not lead to a significant improvement in the overall performance. Conversely, under the change conditions, unitization not only strengthened the contributions of both types of familiarity (i.e., absolute and relative) but also enhanced the role of recollection, leading to an improved associative memory. These findings not only clarify some of the inconsistencies in the literature concerning the impact of unitization on associative memory, but also suggest that unitization affects the contributions of absolute familiarity and relative familiarity differently, with its effectiveness varying according to the level of unitization changes.
Use of serum KL-6 and chest radiographic severity grade to predict 28-day mortality in COVID-19 patients with pneumonia: a retrospective cohort study
Authors: Zou Jing , Shi Yiping , Xue Shan , Jiang Handong 
Published: October 2023

Abstract

Background:
Coronavirus disease 2019 (COVID-19) has had a global social and economic impact. An easy assessment procedure to handily identify the mortality risk of inpatients is urgently needed in clinical practice. Therefore, the aim of this study was to develop a simple nomogram model to categorize patients who might have a poor short-term outcome.
Methods:
A retrospective cohort study of 189 COVID-19 patients was performed at Shanghai Ren Ji Hospital from December 12, 2022 to February 28, 2023. Chest radiography and biomarkers, including KL-6 were assessed. Predictive factors of 28-day mortality were selected by a Cox regression model. A nomogram was developed based on selected variables. The predictive performance of the derived nomogram was evaluated by calibration curve and decision curve.
Results:
In total, 173 patients were enrolled in this study. The 28-day mortality event occurred in 41 inpatients (23.7%). Serum KL-6 and radiological severity grade (RSG) were selected as the final prognostic factors. A nomogram model was developed based on 120 patients and validated in 53 patients. The calibration curve and decision curve suggested that the nomogram model was clinically useful. The AUCs for serum KL-6, RSG, and the combined score in the development group and validation group were 0.885 (95% CI: 0.804-0.952), 0.818 (95% CI: 0.711-0.899), 0.869 (95% CI: 0.776-0.942) and 0.932 (95% CI: 0.862-0.997), respectively.
Conclusions:
Our results suggested that the nomogram based on KL-6 and RSG is a useful model to predict 28-day mortality in COVID-19 patients. A high combined score might indicate a poor outcome in COVID-19 patients with pneumonia.
Glycaemic variability, assessed with continuous glucose monitors, is associated with diet, lifestyle and health in people without diabetes.
Authors: Berry Sarah , Bermingham Kate , Smith Harry , Gonzalez Javier , Duncan Emma , Valdes Ana , Franks Paul , Delahanty Linda , Dashti Hassan , Davies Richard , Hadjigeorgiou George , Wolf Jonathan , Chan Andrew , Spector Tim 
Published: October 2023

Abstract
Background
Continuous glucose monitors (CGMs) provide high-frequency information regarding daily glucose variation and are recognised as effective for improving glycaemic control in individuals living with diabetes. Despite increased use in individuals with non-diabetic blood glucose concentrations (euglycemia), their utility as a health tool in this population remains unclear.
Objectives
To characterise variation in time in range (TIR) and glycaemic variability in large populations without diabetes or impaired glucose tolerance; describe associations between CGM-derived glycaemic metrics and metabolic and cardiometabolic health traits; identify key diet and lifestyle factors associated with TIR and glycaemic variability.
Design
Glycaemic variability (coefficient of variation) and time spent in both the ADA secondary target range (TIRADA; 3.9-7.8 mmol/L) and a more stringent range (TIR3.9-5.6; 3.9-5.6 mmol/L) were calculated during free-living in PREDICT 1, PREDICT 2, and PREDICT 3 euglycaemic community-based volunteer cohorts. Associations between CGM derived glycaemic metrics, markers of cardiometabolic health, diet (food frequency questionnaire and logged diet records), diet-habits, and lifestyle were explored.
Results
Data from N=4135 participants (Mean ± SD; Age: 47 ± 12 y; Sex: 83% Female, BMI: 27 ± 6 kg/m2). Median glycaemic variability was 14.8% (IQR 12.6-17.6%), median TIRADA was 95.8% (IQR 89.6-98.6%) and TIR3.9-5.6 was 75.0% (IQR 64.6-82.8%). Greater TIR3.9-5.6 was associated with lower HbA1c, ASCVD 10y risk and HOMA-IR (all p < 0.05). Lower glycaemic variability was associated with lower % energy derived from carbohydrate (rs: 0.17, p < 0.01), ultra-processed foods (NOVA 4, % EI; rs: 0.12, p = 0.01) and a longer overnight fasting duration (rs: -0.10, p = 0.01).
Conclusions
A stringent TIR target provides sensitivity to detect changes in HOMA-IR, ASCVD 10 y risk and HbA1c that were not detected using ADA secondary targets. Associations among TIR, glycaemic variability, dietary intake (e.g. carbohydrate and protein) and habits (e.g. nocturnal fasting duration) highlight potential strategic targets to improve glycaemic metrics derived from continuous glucose monitors.
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models
Authors: Milne Alex , Xie Xianghua 
Published: October 2023

Abstract
Control of surface texture in strip steel is essential to meet customer requirements during galvanizing and temper rolling processes. Traditional methods rely on post-production stylus measurements, while on-line techniques offer non-contact and real-time measurements of the entire strip. However, ensuring accurate measurement is imperative for their effective utilization in the manufacturing pipeline. Moreover, accurate on-line measurements enable real-time adjustments of manufacturing processing parameters during production, ensuring consistent quality and the possibility of closed-loop control of the temper mill.In this study, we leverage state-of-the-art machine learning models to enhance the transformation of on-line measurements into a significantly more accurate Ra surface roughness metric. By comparing a selection of data-driven approaches, including both deep learning and non-deep learning methods, to the close-form transformation, we evaluate their potential for improving surface texture control in temper strip steel manufacturing.
Knowledge on Hospital Discharge Information Among Patients With Hypertensive Disorders in Pregnancy at a Tertiary Hospital in Tanzania
Authors: Amiji Fatema Zahra , Said Ali , August Furaha , Rashid Sabria , Wangwe Peter , Kidanto Hussein 
Published: October 2023

Abstract

Background: Hypertensive disorders in pregnancy (HDP) are one of the leading causes of the persistently high maternal mortality ratio in Tanzania. Complications of HDP can occur during pregnancy, delivery or postpartum period hence prevention of these partly depends on the patient’s understanding of information given during discharge from hospitals. The aim of this study was to assess the knowledge of vital information given to patients at the time of discharge.
Methods: A cross-sectional study was carried out at Muhimbili National Hospital in Dar es Salaam, Tanzania from September to November 2020. Exit face-to-face interviews were conducted among 422 women treated for HDP who were conveniently recruited at the time of discharge. A Swahili translated structured questionnaire adapted from World Health Organization (WHO), California Medical Quality Care Collaborative tool kit (CMQCC) and previous studies was used to collect data. The questionnaire consisted of 4 domains; knowledge on postpartum danger signs, diagnosis, medication, and follow-up plan. A score of at least half or more of the maximum score in each domain were defined as adequate knowledge. Data collected was analyzed using Statistical Package for Social Sciences (SPSS) version 23.0. Descriptive statistics, chi-square test and logistic regression was used to determine factors that strongly affect the knowledge on discharge information. The results were expressed as Odds Ratio (OR), with statistically significant level at p<0.05.
Results: Seventy-three percent of women with HDP had adequate knowledge on the hospital discharge information. Furthermore, 79% of women had adequate knowledge on postpartum danger signs, 77% in diagnosis, 87% in prescribed medications and 92% in follow up plan. Women who were married, employed, with higher level of education, booked ANC at an early gestational age of less than four months and had more than four ANC visits were more likely to have adequate knowledge on hospital discharge information.
Conclusion: Most women with HDP had an adequate knowledge on their discharge information. As observed from our study, most women were in the younger age group and primiparous. Greater emphasis and a more tailored education should be given to these women due to high rate of recurrence of HDP in subsequent pregnancies.
Married Women’s Decision Making Power in Familly Planning Utlization and Associated Factors in Addis Ketema Sub City Addis Abeba 2022
Authors: Demissie Bekele Simegn , Teka Sosina 
Published: October 2023

Abstract
Background: Women’s decisions on family planning use have multiple benefits to their Family and for the community at large. In developing countries like Ethiopia, the choice of Women to use family planning is influenced by social and environmental factors that mitigate their ability to decide independently and freely. This study, therefore determined the level of Women’s decision-making power on family planning use and associated factors among Married women in the study area.
Objective: To assess Married women’s decision making power in family planning use and its determinant in Addis Ketema sub city Addis Ababa, Ethiopia
Method: A community-based cross-sectional study was conducted in Addis Ketema sub city from June 21 – July 17, 2022. A simple random sampling technique was used to select 419 married Women & Data was collected using pre-tested interviewer self-administered structured questionnaire. Data was entered into Epi -data 3.1 and exported to SPSS version 20 for analysis. Multivariable logistic regression was performed to identify factors associated with women's decision-making power on family planning use. Crude and adjusted odds ratios with 95% confidence interval were used and p-value of <0.05 was considered as statistical significance.
Results: A total of 419 (99%) women participated in this study. Majority of the respondents (73%) found to have good decision making on modern family planning. Multivariate analysis showed that having a positive attitude towards family planning (AOR =2.56, 95%, CI: 1.33, 4.95), Women who have a high educational level (AOR =2.62 95% CI: 1.4, 4.93) and better knowledge to wards family planning (AOR =4.6, 95%, CI: 2.47, 8.56) were statistically significantly associated with decision-making power on family planning use among married women.
Conclusion: The results show that women's decision-making power over family planning use was higher than in previous Ethiopian studies. Women who have a high educational level, women having a positive attitude towards family planning and women better knowledge to wards family planning have a better decision-making abilities.
Anti-factor B antibodies in atypical hemolytic uremic syndrome
Authors: Khandelwal Priyanka , Nambiar Shreesha , Saini Rahul , Saini Savita , Coshic Poonam , Sinha Aditi , Hari Pankaj , Kumar Jayanth , Bagga Arvind 
Published: October 2023

Abstract
Background
The etiology of atypical hemolytic uremic syndrome (aHUS) is unknown in 30–40% patients. Anti-factor B (FB) antibodies are reported in C3 glomerulopathy (C3G) and immune-complex membranoproliferative glomerulonephritis (IC-MPGN), though not in aHUS.
Methods
We screened patients < 18-year-old from cohorts of aHUS and C3G/idiopathic IC-MPGN. Anti-FB IgG antibodies were measured by ELISA and confirmed by Western blot. Normative levels were based on antibody levels in 103 healthy blood donors.
Results
The prevalence of anti-FB antibodies was 9.7% (95% CI 6.1–14.5%; n = 21) in 216 patients with aHUS, including 11.5% (95% CI 6.4–18.5%; n = 14) in anti-FH associated aHUS and 11.8% (95% CI 4.4–23.9%; n = 6) in patients without a definitive genetic or autoimmune etiology. Patients with significant genetic variants did not show anti-FB antibodies. In patients with concomitant anti-FB and anti-FH antibodies, median anti-FH titers were higher (11312 AU/ml vs. 4920 AU/ml; P = 0.044). Anti-FB antibody titer correlated with disease severity (hemoglobin and platelets; P < 0.05), declined following plasma exchange and increased during relapse. While 4/64 patients with C3G (6.3%) and 1/17 with IC-MPGN showed anti-FB antibodies, titers were higher in aHUS (544.8 AU/ml vs.1028.8; P = 0.003).
Conclusion
Anti-FB antibodies are present in 6–10% patients with aHUS and C3G/IC-MPGN, with higher titers in the former. The diagnostic and therapeutic implication of anti-FB antibodies in aHUS needs confirmation and further studies. The study shows propensity for autoantibody generation and co-existence of multiple risk-factors for aHUS in Indian children.
Highly efficient and thermally stable fullerene-free organic solar cells based on a rhodanine acceptor to enhance photovoltaic performance: A DFT study
Authors: Abbas Faheem , Noormohammadbeigi Motahareh , Roy Aritra , Kamalinahad Seedeh , Khalid Maria 
Published: October 2023

Abstract
Five rhodanine-based small molecule (SMs) photovoltaic materials (A1-A5) were rigorously manufactured and methodically evaluated to evaluate their optoelectronic characteristics as donor moiety in organic solar cells (OSCs) compared to O-IDTBR. The newly developed compounds (A1-A5) possess electron-withdrawing functional groups on both terminal ends of the reference molecule (Ref). After a benchmark study, simulations performed at MPWPW91/6-311G (d, p). A2 exhibited the lowest energy gap (Eg) of 1.818 eV and largest dipole moment of 13.43 D in dichloromethane solvent. A2 photophysical characteristics predict good miscibility and performance. The unique molecules demonstrate superior open-circuit voltage (VOC), the lowest band gap, elevated absorption spectra, and power conversion efficiency (PCE) explore to the reference material, hence enhancing operational efficiency. The reference molecule (Ref) PCE is 18.30%, but newly developed compounds have PCEs from 11.47–21.11%. Thus, Ref molecule terminal structural changes can improve solar material efficiency. PSCs and OSCs use small-molecule hole transporting materials (HTMs) as donor contributors in this solar energy research achievement.
Mechanism analysis and simulation for effects of glass powder content on macroscopic properties of glass concrete
Authors: 黄 一军 , Hui Su 
Published: October 2023

Abstract
Waste glass can be used as building materials to save solid material. However, the mechanical performance of concrete using waste glass would be reduced. To understand the mechanism of performance reduction in glass concrete, this study investigated the glass concrete mechanical properties, including the influence from glass powder content on the cube strength. Based on the testing data collected from 35 cases of glass concrete with different mix proportion, cube compressive strength, axial compressive strength, slump and elastic modulus, the effects of water binder ratio, glass powder content and other factors on the macro mechanical properties of glass concrete are studied respectively. According to the test data, the calculation formulas of cube compressive strength and axial compressive strength of glass concrete are derived by using calculation software.
Substantial Radiative Warming by an Inadvertent Geoengineering Experiment from 2020 Fuel Regulations
Authors: Yuan Tianle , Song Hua , Oreopoulos Lazaros , Wood Robert , Bian Huisheng , Breen Katherine , Chin Mian , Yu Hongbin , Barahona Donifan , Meyer Kerry , Platnick Steven 
Published: October 2023

Abstract
Human activities affect the Earth’s climate through modifying the composition of the atmosphere, which then creates radiative forcing that drives climate change 1. The warming effect of anthropogenic greenhouse gases has been partially balanced by the cooling effect of anthropogenic aerosols 2. In 2020, fuel regulations abruptly reduced the emission of sulfur dioxide from international shipping by more than 80%3 and created an inadvertent geoengineering experiment4,5 with global scale. Here we show the regulation leads to a radiative forcing of 0.12 Wm-2 averaged over the global ocean using a combination of modeling and satellite data. The forcing is estimated to effectively double the warming rate of global mean temperature in this decade with strong spatiotemporal heterogeneity. The warming effect contributes 50% to the measured increase in planetary heat uptake since 2020. The radiative forcing also has strong hemispheric contrast of 0.12 Wm-2 and contributes to the measured hemispheric contrast in absorbed solar radiation, which has important implications for precipitation patterns. Our result suggests marine cloud brightening may be a viable geoengineering method in temporarily cooling the climate.