bluuebunny/crossref_metadata_2025_split huggingface dataset:
In times of need. Cross-country investigation of the determinants of aid allocation for Ukraine during the 2022 Russian invasion
Authors: Trepanowski Radosław , Drążkowski Dariusz , Burdun Patryk , Bojarski Dawid 
Published: August 2023

Abstract
In August 2023, the Russian Federation's invasion of Ukraine had already been ongoing for almost sixteen months. During this time, many world governments provided aid to Ukraine. Our study scrutinizes the geographical, economic, political, and defensive factors determining the distribution of bilateral aid to Ukraine, using cross-national data from 105 countries. Using Tobit regression, we have shown that NATO or EU membership, a country's freedom level, and its distance from the Russian Federation correspond to increased total and military aid. Additionally, freedom was related to higher financial aid, while freedom, distance from the Russian Federation, and total trade with Ukraine were related to higher humanitarian aid provided to Ukraine. Our analysis contributes to a better understanding of aid allocation to Ukraine during the Russian invasion and suggests that countries might provide aid to enhance the military safety of the Euro-Atlantic area, to express the freedom-oriented values of democratic countries, and to protect their economic interests in Ukraine. Thus, the aid provided to Ukraine seems to serve donors' foreign policy strategy driven by security, political, and trade interests.
Exposure to High Dosage of Gold Nanoparticles Accelerates Growth Rate by Modulating Ribosomal Protein Expression.
Authors: Quadir Shabina , Khan Nuha , Singh Deepak , Faraz Amir , Jhingan Gagan , Joshi Mohan 
Published: August 2023

Abstract
Gold nanoparticles (AuNPs) have been utilized in various biomedical applications, including diagnostics and drug delivery. However, cellular and metabolic responses of cells to these particles remain poorly characterized. In this study, we used bacteria (Escherichia coli and Bacillus subtilis) and a fungus (Saccharomyces cerevisiae) as model organisms to investigate the cellular and metabolic effects of exposure to different concentrations of citrate-capped spherical AuNPs with diameters of 5 and 10 nm. Our data showed the stability of synthesized AuNPs in different growth media and revealed comparable uptake by microorganisms. An exposure to a high concentration of AuNPs (1012 particles) resulted in reduced cell-division time and a two-fold increase in cell density in both bacteria and unicellular eukaryote. The exposed cells exhibited a decrease in average cell size and an increase in the cell-division marker protein (FtsZ), further supporting an accelerate growth rate. Notably, exposure to such high dosage of AuNPs did not induce DNA damage, envelope stress, or a general stress response in bacteria. Differential whole proteome analysis demonstrated modulation of ribosomal protein expression upon exposure to AuNPs in both E. coli and S. cerevisiae. Interestingly, the accelerated growth observed in the presence of AuNPs was sensitive to sub-MIC dosages of a drug that specifically targets ribosome assembly and recycling. Based upon these findings, we argue that exposure to high concentrations of AuNPs induces stress on the translation machinery. This leads to an increase in protein synthesis rate by modulating ribosome assembly, which results in the rapid proliferation of cells.
Transvaginal Cervical Length To Predict Delivery Latency in Preterm Premature Rupture of Membranes
Authors: Agaoglu Merve Ozturk , Celen Sevki 
Published: August 2023

Abstract
Purpose: To investigate the association between transvaginal cervical length (TVCL) and delivery latency in pregnancies with preterm premature rupture of membranes (PPROM).
Methods: A prospective study was conducted with 72 cases with PPROM between 24 and 34 weeks of gestation. Maternal characteristics, TVCL, the time between diagnosis of PPROM and delivery, and obstetric outcomes were documented. Multiple logistic regression was used to evaluate the independent prediction of significant parameters for delivery within seven days. Sensitivity, specificity, and predictive values were calculated for the combination of TVCL, presence of a cervical funneling, and maternal body mass index (BMI) to predict delivery within seven days.
Results: 44% of the 72 PPROM cases were delivered within the first seven days after PPROM. Cervical funneling and short TVCL were associated with latency <7 day (p= 0.001 and p=0.000). In logistic regression analysis, gestational week of PPROM and TVCL were found to be the parameters affecting the delivery risk with a latency ≤7 days. (OR =1.402, p=0.039; OR=0.46, p=0.045 respectively). The combination of <25 mm TVCL and the presence of cervical funneling had a sensitivity of 38% and a specificity of 97.5% in predicting latency ≤7 days. In BMI>30 group, the PPV reached 100% in predicting latency ≤7 days with 18% sensitivity and 100% specificity.
Conclusion: The combination of cervical funneling, TVCL <25 mm, and maternal obesity can predict delivery within seven days of PPROM. These findings may be helpful in counseling and optimizing maternal and neonatal care in women with PPROM.
Fabrication and Evaluation of Carbopol Hydrogel, Okra Mucilage, and Gum Acacia hydrogel for delivery of herbal excipient in excision wound- In vitro and In vivo experiment
Authors: SAHA ISHITA , Das Dipak , Karmakar Parimal 
Published: August 2023

Abstract
The prevention of infection is the most important part of wound healing, in this article mentions the fabrication process of calendula extract encapsulated gum acacia hydrogel (GA@Cal) are more facile and cost-effective than okra mucilage and carbopol hydrogel wound dressing materials. We observed that gum acacia (GA) hydrogel is a porous structure so its water absorbance capacity is higher than other agents. In vitro study, we used MTT assay, Scratch assay and western blot analysis, the result suggested that, GA@Cal enhanced the cell proliferation, PI3K pathway. In an in-vivo study, GA@Cal showed excellent results compared to the untreated and GA groups.
Machine Learning-Accelerated Discovery of Novel 2D Ferromagnetic Materials with Strong Magnetization
Authors: Song Bingqian , Fan Zhen , Jin Guangyong , Song Yongli , Pan Feng , Xin Chao 
Published: August 2023

AbstractTwo-dimensional ferromagnetic (2DFM) semiconductors (metals, half-metals, and so on) are important materials for next-generation nano-electronic and nano-spintronic devices. However, these kinds of materials remain scarce, and “trial and error” experiments and calculations are time-consuming and expensive. In the present work, to obtain optimal 2DFM materials with strong magnetization, we established a machine learning (ML) framework to search the 2D material space containing over 2417 samples, and identified 615 compounds whose magnetic orders was then determined via high-through-put first-principles calculations. Using ML algorithms, we trained two classification models and a regression model. The interpretability of the regression model was evaluated through SHAP value analysis. Unexpectedly, we found that Cr2NF2is a potential antiferromagnetic ferroelectric 2D multiferroic material. More importantly, 60 novel 2DFM candidates were predicted, and among them, 13 candidates have magnetic moments of > 7µB. Os2Cl8, Fe3GeSe2, and Mn4N3S2were predicted to be novel 2DFM semiconductors, metals, and half-metals, respectively. Our ML approach can accelerate the prediction of 2DFM materials with strong magnetization and reduce the computation time by more than one order of magnitude.
Impact of dietary macronutrient composition on gene regulation in adipose tissue
Authors: Farris Kathryn , Senior Alistair , Sobreira Debora , Ingerslev Lars , Barres Romain , Simpson Stephen , Crean Angela , Nobrega Marcelo 
Published: August 2023

Abstract
Diet is a key lifestyle component that influences metabolic health through several factors, including total energy intake and macronutrient composition. While the impact of caloric intake on gene expression and physiological phenomenon in various tissues is well described, the influence of dietary macronutrient composition on these parameters is less well studied. Here, we used the Nutritional Geometry framework to investigate the role of macronutrient composition on metabolic function and gene regulation in adipose tissue. Using ten isocaloric diets that vary systematically in their proportion of energy from fat, protein, and carbohydrates, we found that gene expression and splicing are highly responsive to macronutrient composition, with distinct sets of genes regulated by different macronutrient interactions. Specifically, the expression of many genes associated with Bardet-Biedl syndrome was responsive to dietary fat content. Splicing and expression changes occurred in largely separate gene sets, highlighting distinct mechanisms by which dietary composition influences the transcriptome and emphasizing the importance of considering splicing changes to more fully capture the gene regulation response to environmental changes such as diet. Our study provides insight into the gene regulation plasticity of adipose tissue in response to macronutrient composition, beyond the already well-characterized response to caloric intake.
Multipath Mitigation for Indoor Positioning with Empirical Mode Decomposition and Spatial Autoregressive Neural Network Methods
Authors: Yao Yongjun , Zhao Kun , Zeng Yi , Zheng Zhengqi , Xu Li 
Published: August 2023

Abstract
The multipath in the wireless channel leads to a bias of time of flight (TOF) observations, which degrades indoor positioning accuracy and performance. This paper proposes a method for modeling ranging errors to mitigate multipath effects and using a filtering algorithm in signal pre-processing. By combining traditional spatial interpolation methods with neural networks, we propose a spatial autoregressive network architecture, which fits the nonlinear relationship between the spatial distance and the spatial autocorrelation weight to calculate the error. The spatial autoregressive neural network (SANN) overcomes the limitation of traditional interpolation methods when calculating spatial weights and the disadvantage of existing methods that directly fit errors by spatial distances, which neglects the spatial correlation of errors, resulting in high prediction accuracy. This paper also uses empirical modal decomposition (EMD) to pre-process the signal to reduce the noise in the signal. The lab experiments demonstrate that EMD effectively minimizes signal noise and reduces raw data variance by 30%. SANN effectively mitigates the multipath effects. The experimental results show that the average positioning accuracy achieves 9.2 cm. Even in dynamic tests, high accuracy and robustness results are displayed.
Investigation of Material Ejection in Laser Decal Transfer Based µ-3D Printing of ZnO ceramics with long Pulsed CO2 Laser
Authors: Sahu Anshu , Singh Arpit , Singh Ayush , Singh Vipul , Palani Iyamperumal Anand 
Published: August 2023

Abstract

In Laser decal transfer process, the materials are printed in micron-sized dots without changing its phase from thin film coated substrate (donor substrate). The pulsed laser irradiates the donor substrate opposite to the coated side and transfers the material in the same phase to another substrate kept very close to donor substrate. The process has shown its potential for printing micro sensors without any changes in physical and functional properties during the printing process for the electronics components. Generally, ZnO-based patterned structure is still challenging for the existing manufacturing techniques without hampering its functionality in the sensing application. In this work, an attempt has been made to print ZnO structure in solid phase using maskless based µ-3D printing using a long-pulsed CO2 laser. A two-dimensional numerical model in COMSOL Multiphysics is developed to estimate the temperature induced by the laser irradiation on the sacrificial layer, and energy conservation is applied to estimate the particle's velocity. A deformed mess geometry is used to predict the ablation depth of the sacrificial layer after the laser irradiation. The deformed geometry shows the ablated area in the sacrificial layer and the temperature induces different time frame. The ZnO ceramic film is coated on the sacrificial layer followed by the laser µ-3D printing of ZnO on silicon wafer using CO2 laser at three laser fluence i.e., 530 mJ/cm2, 1030 mJ/cm2, 1530 mJ/cm2 with 90% pulse overlap. The ejection of ZnO from substrate is visualized using the high-speed camera by shadowgraphy techniques. The ejection mode is defined based on the deviation of the particle from the laser beam direction.
The use of EQ-5D-5L as a patient-reported outcome measure in evaluating community rehabilitation services in Alberta, Canada
Authors: Short Hilary , Sayah Fatima Al , Churchill Katie , Keogh Eileen , Warner Lisa , Ohinmaa Arto , Johnson Jeffrey A. 
Published: August 2023

Abstract
Background: The purpose of this study was to evaluate the impact of community rehabilitation services on health-related quality of life (HRQL) in Alberta, Canada, using routinely collected EQ-5D-5L data, and explore factors associated with the impact of these services.
Methods: A retrospective, longitudinal, observational design was used. Patients completed the EQ-5D-5L and demographic questions at intake and end of rehabilitation care. Change in EQ-5D-5L dimensions from intake until end of rehabilitation was examined using the Pareto Classification of Health Change. Change scores were calculated for the EQ-5D-5L index, VAS, and total sum scores. Change groups in the EQ-5D-5L index and VAS scores, were defined by minimally important differences of 0.04 and 7.0, respectively. One level change was considered important for the total sum score. Effect size of the change in index, VAS, and total sum scores was also examined. Chi-squared tests were conducted to examine whether change in EQ-5D-5L varied by age, gender, region, and having anxiety/depression at intake.
Results: Three service programs were examined; pulmonary rehabilitation (n=542), group-based community exercise (n=463), and physiotherapy for bone and joint care (n=391). At intake, HRQL in all programs was lower than that of the general Alberta population norms and improved by end of rehabilitation. The mean (SD) change in index, VAS, and total sum scores were 0.02 (0.13), 6.0 (18.3), and -0.5 (2.4) in pulmonary rehabilitation, 0.06 (0.13), 6.6 (18.7), -1.2 (2.4) in community exercise, and 0.13 (0.16), 1.2 (0.9), and -2.8 (2.8) in physiotherapy, respectively. Based on change of the index score, 24% deteriorated, 38% improved, and 38% had no change in pulmonary rehabilitation; 17% deteriorated, 51% improved, and 32% had no change in community exercise; 5% deteriorated, 72% improved, and 23% had no change in physiotherapy. Similar trends were seen in the VAS and total sum scores. Age, region, and having anxiety/depression at intake were associated with change in EQ-5D-5L.
Conclusions: The results of this study are intended to inform program/service level decisions by describing the characteristics and HRQL of patients accessing community rehabilitation, as well as the predictors of change in health status, which will help direct future program growth and service changes.
Repeat Low-level Red-Light Therapy Using to Slow the Progression of Medium ~ High Myopia （≥4.00D） in Chinese Children
Authors: yu jun , li bin , zhang chi , Dong lingyan , cen jie , chen yiye , Zhao Peiquan , Zhu Huang 
Published: August 2023

Abstract

Purpose：RLRL (repeated low level red light) therapy has recently emerged as a new-type treatment to control myopia. In our study, we will focus on the effect of myopia control between RLRL and PDMSL in the children who had moderate to high Myopia. Its effectiveness have been reported in previous studies. In our study, we aim to compare the effects of RLRL and peripheral defocus modifying spectacle lenses (PDMSL) in Medium ~ High Myopia （≥4.00D）.
Methods: It is a Randomized, controlled , clinical trial. This trial is registered with ClinicalTrials.gov (identifier, NCT05184621) and Date 11/01/2022.The participants were 25 Chinese children who had aged 8 to 14 years old with ≥-4.00 diopters (D) of myopia ,and ≤-2.00 diopters (D) of astigmatism.
Groups of intervention (RLRL plus SVS) and control (PDMSL) were assigned 1:1. In RLRL group, the participant would use RLRL device. The usage method was: two sessions a day, five time a week, each session lasted three minutes, and there was at least a four-hour interval between sessions. The participant wore SVS daily. The participant wore PDMSL daily, in the control group. The axial length (AL), spherical equivalent refractions (SER) and other ophthalmic examinations were measured at baseline, one, three, six, nine and twelve months.
Result: Spherical equivalent refraction （SER ）change was 0.26±0.39D and 0.69±0.39D in 6 -month,0.34±0.51D and 0.93±0.44D in 9-month, 0.28±0.50D and 0.79±0.48D in 12-month, in the RLRL group and PDMSL group , respectively. There were all significant different between the two groups (P=0.000). Treatment-related adverse events were not reported. Axial length (AL) change was -0.13 ±0.11 mm and 0.09 ±0.01mm in 3 -month, -0.18 ±0.13 mm and 0.21 ±0.09mm in 6 -month, -0.21 ±0.16 mm and 0.27 ±0.14mm in 9 -month, and -0.18 ±0.17 mm and 0.34 ±0.13mm in 12 -month, in RLRL group and PDMSL control group , respectively. In the both groups, there were significant differences (P=0.000) . It was not reported that any adverse events were related to the treatment.
Conclusions: The RLRL therapy was more effective than PDMSL in Medium~ High Myopia（≥4.00D） control .The RLRL treatment cloud be well tolerated, with few adverse effects related to the treatment.
Echinacea purpurea extract intervention for counteracting neurochemical and behavioral changes induced by bifenthrin
Authors: Abdel-Wahhab Khaled , Sayed Rehab S. , Sahra Doaa G. EL , Hassan Laila K. , Elqattan Ghada M. , Mannaa Fathia A. 
Published: August 2023

Abstract
This study was conducted to elucidate the possible protective efficiency of Echinacea purpurea hydroethanolic extract (EchEE) against bifenthrin-induced neuro-chemical and behavioral changes in rats. Total phenolics content, reducing power and radical scavenging activity of EchEE were estimated. Four groups of adult male albino rats were used (10 rats each) as follows: 1) Control healthy rats ingested with placebo, 2) Healthy rats orally received EchEE (465 mg/kg/day), 3) Rats intoxicated with (7mg/kg/day) bifenthrin (BIF) dissolved in olive oil, and 4) Rats ingested with EchEE one-hour prior to intoxication with bifenthrin. After 30 days, some neuro-chemical and behavioral tests were assessed. The behavioral tests revealed that rats received bifenthrin exhibited exploratory behavior and spatial learning impairments, memory and locomotion dysfunction, and enhanced anxiety level. Biochemical findings revealed induced-oxidative stress in the cortex and hippocampus; this was achieved from the significant rise in malondialdehyde (MDA) and nitric oxide (NO) levels, coupled with decreased catalase (CAT), superoxide dismutase (SOD), paraoxonase-1 (PON-1) activities, and reduced glutathione (GSH) level in both brain areas. Also, BIF induced a significant increase caspas-3, tumor necrosis factor alpha (TNF), and interleukin-1beta (IL-1ß) in both areas; dopamine and serotonin levels and ACh-ase activity were markedly decreased in both areas. Interestingly, treatment of rats with EchEE one-hour prior to BIF resulted in a significant decrease in oxidative stress damage, and modulation of the apoptotic and pro-inflammatory markers. Also, EchEE markedly improved behavioral activities and neurotransmitters level that were impaired by BIF. In conclusion, the present study clearly indicated that EchEE can attenuate brain dysfunction induced by pesticides exposure through preventing the oxidative stress. This may be attributed to its high antioxidant component.
Development of organized manufacturing sector across Indian states -a spatial approach
Authors: Majumder Piyali 
Published: August 2023

Abstract
The paper examines the nature and pattern of development of the Indian organized manufacturing industries across Indian states using the Annual Survey of Industries (ASI) plant-level data. Four different indices of industrial concentration have been used to estimate the degree of agglomeration of industries. It has been observed that states with a large industrial base are also the hub of some of the highly polluting industries. The degree of industrial agglomeration has been observed to be higher in the case of polluting industries as opposed to non-polluting industries in the year 2013-14. The degree of agglomeration economies of the industry has been observed to be affected by the spillover effect from the adjacent regions. While examining the pattern of spatial concentration of industries over time, the paper concludes that during the period of the analysis 2000-01 to 2013-14, the polluting industries have shown some dispersion both across states (captured by the LQ index) as well as in terms of plant level concentration within-in the same industry.
JEL codes: L6, R12, R11
Melting Temperature Mapping Method Using Imperfect-match Linear Long Probes
Authors: Ootsuki Shinya , Niimi Hideki , Ueno Tomohiro , Mori Masashi , Minami Hiroshi , Kitajima Isao , Tabata Homare 
Published: August 2023

Abstract
Identifying pathogenic microorganisms as early as possible is critical for selecting the appropriate antimicrobial therapy in infected patients. We previously reported the development of the Tm mapping method for identifying a broad range of pathogenic bacteria within three hours of blood collection. However, the Tm mapping identification requires an analytical instrument with a tube-to-tube variation of no more than 0.1 °C, so we can only use a few instruments that have such high thermal accuracy. To address the problem, we developed the improved Tm mapping method using imperfect-match linear long quenching probes (IMLL Q-probes). Using IMLL Q-probes, almost all commercially available analytical instruments can be used for the Tm mapping method. Some bacterial species cannot be narrowed down to one species, but they can at least be narrowed down to the genus level. The Tm mapping method using IMLL Q-probes is useful for deciding on antimicrobial therapy in infected patients.