bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of the Expectation–Augmented Phillip’s Trade-off to Create an Inflation Path that Minimize Social’s Loss Function: Evidence from Indonesia
Authors: Susilowati MG Westri Kekalih 
Published: January 2023

Abstract

The Phillip’s curve shows the trade-off between inflation and unemployment. The problem of unemployment so far echoes inferior to inflation rate. This study aims to prove the existence of the Philips curve in Indonesia and implement the Expectation–augmented Phillips trade-off to build an inflation rate path that minimizes Social’s Loss. In creating the inflation path, this study adopts the social's loss function model by Taylor. The results show that Indonesia's Phillips curve did exist from 1976 to 1996. However, it no longer exists during the next period, 2000 to 2022. Implementation of the Expectation–augmented Phillips trade-off results that based on the actual inflation rate at the end of 2022 of 6 percent, the yearly inflation rate should be at 4.79, 3.98, or 3,64 percent. Meanwhile, based on the inflation target in the fiscal note 2023, the yearly inflation rate should be 2.39, 1.99, or 1.82 percent.
JEL Classification Code: E31, E37, E53
Alginate-chitosan hydrogels containing shRNA plasmid for inhibition of CTNNB1 expression in breast cancer cell
Authors: Cömez Birnur , Özbaş Suna 
Published: January 2023

Abstract
Objectives
The hydrogels prepared with alginate and chitosan polymers were aimed to deliver the shRNA-encoding plasmid (pshRNA) to MDA-MB-231 cells for the inhibition of β-catenin (CTNNB1) which was reported to be over-expressed in breast cancer.
Methods
Polyion complex hydrogels prepared using varying concentrations of sodium alginate and chitosan were characterized by Fourier transform infrared spectrometry (FTIR) analysis, scanning electron microscope (SEM) image, swelling properties, and viscosity. After the release properties, serum stability, and in vitro degradation rates of pshRNA-loaded hydrogels were determined, their cytotoxicity, transfection efficacy, and effects on CTNNB1 expression were investigated in MDA-MB-231 cells.
Results
All hydrogels were shown to protect pshRNA from the enzymatic activity of serum and to deliver pshRNA to cells efficiently. As a result of transfection studies, pshRNA-loaded hydrogels reduced CTNNB1 expression by up to 30.25%. Cell viability also decreased by 38% in cells treated with 2.5% (w/v) alginate-chitosan hydrogel containing pshRNA targeting CTNNB1.
Conclusions
Alginate-chitosan hydrogels were shown to be a suitable matrix system for local gene delivery.
Electronic manipulating in hydrated electron simulation of the carbon-halogen bond reductive cleavage
Authors: Li Kaixin , Chen Zhanghao , Jin Xin , Tian Haoting , Song Zhenxia , Zhang Qingyun , Xu Dayong , Hong Ran 
Published: January 2023

Abstract
Hydrated electron e−(aq) reaction with the alkyl halide and aryl halide was simulated synergistically with ab initial molecular dynamics (AIMD) in this study to reveal the morphological and dynamics mechanism. An original method was developed for preparing the proper initial wavefunction guess of AIMD, in which the extra electron was curled properly in a tetrahedral cavity of four water molecules. Our results indicated that the tetrahedral structure of e−(aq) (THE*) is more stable than the prism structure e−(aq) (PHE*) from the energy aspect. The interior weak interaction in THE* is mainly between the hydroxyl group with the extra electron, while the PHE* structure stability is attributed to the weak H-H interaction. The extra electron, with a significant sigma characteristic, collapses in a cavity composed of water molecules in these two structures and has a probability of collapsing to a certain sole water, this probability is inversely proportional to the number of waters; Organic halides prefer the direct reaction with e−(aq) in a neutral or alkaline environment while the hydrogen radical would be the dominant reaction species in an acidic solution. Fluorobenzene and fluoromethane are the hardest molecules to accept the extra electron and also have the highest reaction barriers during the hydrogen radical reactions; AIMD suggested that the LUMO or higher orbitals were the e−(aq) migration destination. The transplanted electron enhanced C-halogen bond vibration before the cleavage actually occurred. The solvation of the departing halogen anions was observed in both fluorobenzene and fluoromethane AIMD, indicating it might have a significant effect on enthalpy. A deformation of fluoromethane product, the methane radical, was detected from the sp3 structure to the sp2 plane structure, resulting in larger energy differences during the reaction than aryl halides. The study provided theoretical insight into the pollutant environmental fate and placed a methodological foundation for AIMD simulation of analogous free radical reactions.
Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
Authors: Kwagala Claire , Ametaj Amantia , Kim Hannah H. , Kyebuzibwa Joseph , Rogers Okura , Stevenson Anne , Gelaye Bizu , Akena Dickens 
Published: January 2023

Abstract
Background: Psychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder.
Methods: The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ.
Results: The overall prevalence screening positive for psychotic symptoms was 13.9%. “Strange experiences” were the most endorsed symptoms (6.6%). A unidimensional factor was the best fitting model based on the fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively.
Conclusion: The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.
Anterior insula glutamate/glutamine is associated with psychopathology scores through overestimating errors
Authors: Park Haeorm , Kim Minchul , Kim Jaejoong , Kim Sunghwan , Jeong Bumseok 
Published: January 2023

Abstract
Despite having more direct information with functional magnetic resonance spectroscopy (fMRS), little is known about how the brain’s neurochemical mechanisms influence mental health and decision-making. In this study, we examined whether baseline glutamate/glutamine (Glx) and lactate concentrations were related to general anxiety and depression and how they changed according to gains and losses with fMRS scanning during reward learning and computational modeling. The Glx concentration in the anterior insular cortex (AIC), not the medial prefrontal cortex, was positively associated with the general psychopathological factor of anxiety and depression through the mediation of error sensitivity. The AIC Glx level decreased mainly after learning from gains and as the entire task was performed. Conversely, lactate reduction in AIC occurred only during learning from losses and was associated with higher general psychopathology scores. We demonstrated for the first time that both glutamate-related error sensitivity and loss-specific lactate reduction in the AIC are associated with general psychopathology. This study’s results suggest that the AIC is a potential target brain region for glutamate and/or lactate-mediated therapeutics for anxiety and depression.
Mixed-linker strategy for suppressing structural flexibility of MOF membranes for gas separation
Authors: Chang Chung-Kai , Ko Ting-Rong , Lin Tsai-Yu , Lin Yen-Chun , Yu Hyun Jung , Lee Jong Suk , Li Yi-Pei , Wu Heng-Liang , Kang Dun-Yen 
Published: January 2023

Abstract
Structural flexibility is a critical issue that limits the applications of MOF membranes for gas separation. Herein we propose a mixed-linker approach to suppress the structural flexibility of the CAU-10-based membranes. Specifically, pure CAU-10-PDC membrane is of high separation performance but at the same time highly unstable for the separation of CO2/CH4. A partial substitution (30 mol.%) of the linker PDC with BDC significantly improves its stability. Such an approach also allows for the aperture size of MOFs. The optimized CAU-10-PDC-H (70/30) membrane possesses a high separation performance for CO2/CH4 (separation factor of 76 and CO2 permeability of 1,111 Barrer under 2 bar of feed pressure at 35 ℃). A combination of in situ characterization with XRD and DRIFT spectroscopy, as well as DFT calculations, unveils the origin of the mixed-linker approach to enhancing the structural stability of the mixed-linker CAU-10-based membranes during the gas permeation tests.
Antioxidant promotion and oxidative stress downregulation by β-caryophyllene oxide attenuate lung cancer A549 cell proliferation
Authors: Shabana Sameh M. , Gad Nahla S. , Othman Azza I. , Mohamed Aly Fahmy , El-Missiry Mohamed Amr 
Published: January 2023

Abstract
One of the most common cancers that result in death is lung cancer. There is new hope in the fight against lung cancer thanks to the chemopreventive properties of natural dietary substances like β-caryophyllene oxide (CPO), and research is currently being done to test this theory. CPO, a sesquiterpene isolated from medicinal plant essential oils, inhibits carcinogenesis and has been effective in treating many cancers. This study examined how CPO affected proliferation of human lung cancer A549 cells. CPO was found to have an inhibitory concentration (IC50) of 124.1 g/ml. The proliferative markers Ki67 and PCNA were significantly inhibited after cells were treated with CPO at a concentration of 50 g/ml compared to controls. CPO-treated cells expressed more P21, P53, and DNA strand breaks than controls. This was accompanied by a significant cell cycle arrest in the S and G2/M phases. In treated A549 cells, this was also associated with a significant induction of apoptosis, as shown by the upregulation of the expression of caspases 3, 7, and 9, as well as Bax, and the downregulation of Bcl-2. Furthermore, the redox status of treated A549 cells revealed a marked rise in GSH and GPx activity levels and a decline in 4-HNE levels, indicating low oxidative stress following CPO treatment of A549 cells. In conclusion, cell cycle arrest and apoptosis, which are unrelated to oxidative stress, were the mechanisms by which CPO reduced cancer lung cell growth. This finding might be a potential therapeutic target for the treatment of lung cancer.
Conversion from hemodialysis to hemodiafiltration affects innate immunity of individuals with chronic kidney disease
Authors: de Moura PhD. Flávio José Dutra , Nunes B.Sc David da Silva , de Sousa B.Sc. Beatriz Guterres Rodrigues , Ribeiro MD Jaqueline Santos , Nascimento MD Jonas Gonzaga do , Macedo B.Sc. Amanda , Souza MD Eloah Soares Povill , Oliveira MD Marcus Henrique , Souza MD Fernando Fontes de Souza , Faria MD Vanessa Simioni , Couto Ph.D Shirley Claudino Pereira , Borges Ph.D Tatiana Karla de Santos , Veiga Ph.D Joel Paulo Russomano , Kuckelhaus Ph.D Selma Aparecida Souza 
Published: January 2023

Abstract
Background: Once a diagnosis of chronic kidney disease (CKD) phase 5 is confirmed, possible treatments include renal replacement therapies, such as haemodialysis (HD) and haemodiafiltration (HDF). HD removes low-molecular-weight molecules, while HDF purges small and large molecules, favouring the reduction of oxidative stress. This study evaluated the haematological, biochemical and immunological parameters of individuals with CKD treated with HD who later converted to HDF.
Methods: This is a descriptive and comparative study carried out with 25 individuals (66±10 years) treated with HD who later converted to HDF (convenience sample). Data were analysed in blood samples (cells and serum).
Results: The aetiologies of RCD were type II DM (48%) and SAH (32%). Before conversion to HDF, the time spent on HD was 4.7±4.9 years. There was a negative correlation between HD time and age. Cells and serum markers: HDF reduced serum levels of erythropoietin (EPO), glucose, aspartate aminotransferase, and ꞵ2-microglobulin and the EPO resistance index and increased levels of alkaline phosphatase and C-reactive protein. Immunological markers: HDF normalized the phagocytic index with 5 or 20 yeasts/cell and normalized the stimulated corpuscular index but increased TNF and IL-4 production compared to HD. Furthermore, HDF normalized the basal production of O2●- and its production in the absence of phagocytosis, but when compared to HD, HDF increased the production of O2●- in the presence or absence of yeast ingestion.
Conclusions: Our results indicate that HDF is efficient in treating patients with CKD. Considering that HDF is rarely used in Brazil, a study is suggested to promote greater visibility and acceptance of HDF in patients and the medical community, aiming at its future implementation in the public health system.
Clinical trial registration: Study approved by the Research Ethics Committee of the Faculty of Medicine of the University of Brasilia nº 16921313.5.0000.0030.
Unsupervised learning framework for region based damage assessment on xBD, a large satellite imagery
Authors: Mittal Prahlada Varada , Bafna Rishabh 
Published: January 2023

Abstract
Population based damage assessment is crucial for providing timely aid in case of natural hazards such as floods, tsunami, hurricanes, etc. One of the quickest methods to do this task is to employ remote sensing data and observe the damage. Most of the previous works have restricted themselves to damage detection and classification with respect to buildings. However, no framework exists that makes a conclusion about the overall damage done in an area affected by the hazard.
In this work, we present an unsupervised density-based clustering algorithm that automatically makes spatial groups of affected regions and assigns the label based on the degree of damage to the region. The algorithm automatically selects the optimum number of clusters based on the spatial distribution of the data and works well with any shape of the hazard-affected region. The demographic estimate for the affected region is then presented based on the area of the region and the census data. The navigation information is provided with aid of Google maps depicting the overall damage along with possibility of transportation. For evaluation of the framework, we employ xBD which is the largest annotated building damage classified data set till date. The results correctly identify the regions and perform extremely well on the silhouette score and the DB Index.
Analysis of Two-Phase Flow through a Rectangular Curved Duct
Authors: Rahman Md. Khalilur , Parvin Salma , Khan Md. Abdul Hakim 
Published: January 2023

Abstract
The present work mainly focuses on analyzing an unsteady laminar incompressible two-phase flow in a rectangular curved duct. The corresponding governing equations are represented by the Navier-Stokes equations and Level set equation with the boundary conditions. Fluid flow through curved rectangular ducts is influenced by the centrifugal action arising from duct curvature and has a unique behavior different from fluid flow through straight ducts. Centrifugal force-induced secondary flow vortices and produce spiraling fluid motion within curved ducts.This paper shows the vector plot of the field flow, velocity contours,axial flow velocity and fluid volume fractions visualization graphically. The effect of curvature, Dean number and aspect ratio is also displayed. A comparison of two-phase flow between different fluids is also shown. The results reveal that the unstable behavior of the flow reduces for the increasing values of curvature, Dean number, and high viscosity flow.
Enhancing the Data-Based Communication of Climate Change with Visual Art
Authors: Li Nan , Villanueva Isabel , Brossard Dominique , Jilk Thomas 
Published: January 2023

Abstract
Visual art has been used to revamp the portrayal of climate change with a hope to engage emotions while expanding nonexperts’ psychological capacity to perceive its relevance. However, empirical evidence supporting the effectiveness of artistic representation of data as a tool for public communication is lacking. Using controlled experiments with two national samples of U.S. adults (total N = 671), this study found that artistic visualizations elicited stronger positive emotions than informationally equivalent data graphs but did not differ in their perceived credibility or effectiveness as visual aids for learning. When used to prompt individual reflection, artistic visualizations appeared to mitigate the political division in viewers’ perceived relevance of climate change that could otherwise be exacerbated by exposure to data graphs.
Factors associated with uptake of Human Papilloma Virus Vaccine among school girls aged 9-14 years in Lira City northern Uganda: A cross-sectional study
Authors: Nakayita Renniter Mirembe , Benyumiza Deo , Nekesa Catherine , Misuk Ivan , Kyeswa Julius , Nalubuuka Aisha , Murungi Tom , Udho Samson , Edward Kumakech 
Published: January 2023

Abstract
Background

Cervical cancer is the principal burden of Human Papillomavirus (HPV) infections and a public health priority. Since 2008, HPV vaccination has been routinely recommended for pre-adolescents and adolescent girls in Uganda as the primary preventive measure for cervical cancer. However, in Uganda, most especially Lira district there is limited literature on HPV vaccination uptake and associated factors among girls aged 9-14years. This study assessed the uptake of HPV vaccine and associated factors among in-school girls aged 9–14 years in Lira City northern Uganda.

Methods

A cross-sectional study was conducted among 245 primary school girls aged 9–14 years in Lira City, west northern Uganda. Multistage sampling technique was used to sample eligible participants and data was collected using interviewer administered questionnaire. Data was analysed using SPSS version 23.0.

Results

HPV vaccination uptake was at 19.6% among the school girls aged 9–14 years in Lira City west northern Uganda. The mean age of the girls was 12.11 (± 1.651) years. Individual factors that were found significantly associated with HPV vaccination included; age of 12–14 years [cOR 5.40, 95% CI (2.04–14.24), P = 0.001], Ever had about the vaccine [cOR: 2.05, 95% CI (0.26–3.50), P = 0.021], taught about cervical cancer at school [cOR: 11.54, 95% CI (4.91–33.89), P = 0.021]. Health system related factors that were found to be associated with HPV uptake; Availability of the vaccines at Health Facilities [cOR: 7.88, 95% CI (2.92–10.32), P = 0.002], Received health workers recommendation [cOR: 3.2, 95% CI (0.93–7.82), P = 0.000].

Conclusion

Findings indicate that HPV vaccine uptake was very low. The ministry of health should strategize more on increasing awareness on HPV vaccination to young girls and their care takers in Lira City especially through collaborating with different schools though not neglecting the out of school girls.
The effect of human menstrual blood-derived stem cells on ovarian folliculogenesis, angiogenesis and collagen volume in female rats affected by the polycystic ovary syndrome
Authors: Ali Sarhadi Roodbari , Somayeh Solhjoo , Maria Grazia Palmerini , Mahna Mansouri , Massood Ezzatabadipour 
Published: January 2023

Abstract
Background: Infertility is one of the common problems among couples, affecting millions of people worldwide. Polycystic ovary syndrome(PCOS) is one of the main causes of infertility in women and is associated with abnormal folliculogenesis, angiogenesis and fibrosis. Common treatments may lead to numerous adverse effects on the patient's quality of life. The present study aimed to investigate the effects of human menstrual blood-derived stem cells on the ovarian histology of a PCOS model of Wistar rats.
Results: Based on the Papanicolaou test and H&E staining results, the number of primordial, primary, secondary, and antral follicles in the PCOS and PCOS-Sham groups increased significantly compared to the control, while they were significantly decreased in the PCOS+Stem cells group compared to the PCOS and PCOS-Sham groups. Further, the number of atretic follicles in both PCOS and PCOS-Sham groups significantly was increased in comparison with the control group, and was decreased in the PCOS+Stem cells group compared to the two mentioned groups. Moreover, graafian folioles reduction in PCOS and PCOS-Sham groups and increase in PCOS+Stem cells group was significant. Based on the Mason's trichrome data, the number of blood vessels in PCOS and PCOS-Sham groups was increased significantly compared to the control group and decreased in PCOS+Stem cells group related to PCOS and PCOS-Sham groups.
Conclusion: The administration of MenSCs improved folliculogenesis in rat polycystic ovaries. Also, MenSCs could ameliorate the PCOS symptoms by improving fibrosis as well as angiogenesis and weight gain.
Recalculating in big data
Authors: Curto José Dias 
Published: January 2023

Abstract
The available memory on a desktop or laptop computer can easily be exceeded by large datasets when performing analytics or training machine learning algorithms.
In this paper we propose simple methods to recalculate and update the value of descriptive statistics (averages, variance, coefficients of skewness and kurtosis) after rescaling, adding or excluding some data. The coefficient of determination from regression analysis is also recalculated after deleting each sample observation. The objective is to avoid including all the observations (especially in big datasets) when those statistics are recalculated. For this, only its previous value updated by the changed observations is needed, saving time in the respective calculation.
Nearly Time-Optimal Kernelization Algorithmsfor the Line-Cover Problem with Big Data
Authors: Chen Jianer , Huang Qin , Kanj Iyad , Xia Ge 
Published: January 2023

Abstract

Based on well-known complexity theory conjectures, any polynomial-time kernelization algorithm for the NP-hard Line-Cover problem produces a kernel of size Ω(k2), where k is the size of the sought line cover. Motivated by the current research in massive data processing, we study the existence of kernelization algorithms with limited space and time complexity for Line-Cover. We prove that every kernelization algorithm for Line-Cover takes time Ω(n log k + k2log k), and present a randomized kernelization algorithm for Line-Cover that produces a kernel of size bounded by k2, and runs in time O(n log k + k2(log k log log k)2) and space O(k2log2k). Our techniques are also useful for developing deterministic kernelization algorithms for Line-Cover with limited space and improved running time, and for developing streaming kernelization algorithms for Line-Cover with near-optimal update-time.