Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF THERMAL FLUCTUATIONS ON FERROELECTRIC RESPONSE: DYNAMIC HYSTERESIS

Time-dependent Ginsburg-Landau theory is combined with Langevin, Fokker-Planck and nonstationary Schrodinger equation techniques to model impact of thermal noise in kinetics of ferroelectric polarization. A real space/real time method based on Cayley's form and Suzuki's decomposition is implemented for numerically simulating both relaxation of polarization in a static potential and dynamic hysteresis in arbitrary time dependent potential. Results are addressed to high field response and long time dynamics in ferroelectrics. This paper motivated by (1,2,3) presents a systematic analysis of polarization kinetics in presence of high driving field and reports both the relaxation of polarization and dynamic hysteresis modeled within the range of driving voltage far above the validity of routine perturbation theory. The physical model starts with the mean field Ginzburg-Landau energy functional with energy landscape specified by two wells corresponding to two polarization states and a barrier between them preventing a transition from one well to other. This linear response limit is violated at high external fields at which the barrier height is substantially reduced and thermal noise controlled transition appears. A sufficient mathematical model is the imaginary time Schrodinger equation with energy operator derived from the macroscopic Hamiltonian the wave function being paralleled with the probability density of polarization. This similarity holds also for the macroscopic Hamiltonian explicitly depending on time (2,3,4). The paper is organized as follows. In Section 2 we present denominations for the Ginzburg-Landau theory, Langevin equation, and Fokker - Planck equation. In Sect. 3 we derive the Cayley's form for time independent Ginzburg-Landau Hamiltonian and proceed to a test calculation for polarization relaxation. In Sect. 4 the Cayley's form is extended for the Hamiltonian explicitly depending on time. Dielectric response is modeled both for harmonic driving and pulse shaped driving voltage. The claims, actualized problems and application grade results are emphasized in Conclusions.
Research Progress of Myocardial Fibrosis and Atrial Fibrillation

With the aging population and the increasing incidence of basic illnesses such as hypertension and diabetes (DM), the incidence of atrial fibrillation (AF) has increased significantly. AF is the most common arrhythmia in clinical practice, which can cause heart failure (HF) and ischemic stroke (IS), increasing disability and mortality. Current studies point out that myocardial fibrosis (MF) is one of the most critical substrates for the occurrence and maintenance of AF. Although myocardial biopsy is the gold standard for evaluating MF, it is rarely used in clinical practice because it is an invasive procedure. In addition, serological indicators and imaging methods have also been used to evaluate MF. Nevertheless, the accuracy of serological markers in evaluating MF is controversial. This review focuses on the pathogenesis of MF, serological evaluation, imaging evaluation, and anti-fibrosis treatment to discuss the existing problems and provide new ideas for MF and AF evaluation and treatment.
Co-inoculation of biochar and arbuscular mycorrhizae for growth promotion and nutrient fortification in soybean under drought conditions

Drought is significant abiotic stress that affects the development and yield of many crops. The present study is to investigate the effect of arbuscular mycorrhizal fungi (AMF) and biochar on root morphological traits, growth, and physiological traits in soybean under water stress. Impact of AMF and biochar on development and root morphological traits in soybean and AMF spores number and the soil enzymes’ activities were studied under drought conditions. After 40 days, plant growth parameters were measured. Drought stress negatively affected soybean growth, root parameters, physiological traits, microbial biomass, and soil enzyme activities. Biochar and AMF individually increase significantly plant growth (plant height, root dry weight, and nodule number), root parameters such as root diameter, root surface area, total root length, root volume, and projected area, total chlorophyll content, and nitrogen content in soybean over to control in water stress. In drought conditions, dual applications of AMF and biochar significantly enhanced shoot and root growth parameters, total chlorophyll, and nitrogen contents in soybean than control. Combined with biochar and AMF positively affects AMF spores number, microbial biomass, and soil enzyme activities in water stress conditions. In drought stress, dual applications of biochar and AMF increase microbial biomass by 28.3%, AMF spores number by 52.0%, alkaline phosphomonoesterase by 45.9%, dehydrogenase by 46.5%, and fluorescein diacetate by 52.2%, activities. The combined application of biochar and AMF enhance growth, root parameters in soybean and soil enzyme activities, and water stress tolerance. Dual applications with biochar and AMF benefit soybean cultivation under water stress conditions.
Expression and Possible Role of Silent Mating Type Information Regulation 2 Homolog 1 in Post-necrotizing Enterocolitis Stricture in vivo and in vitro

Purpose To investigate the expression and possible role of Sirtuin1 or Silent mating–type information regulation 2 homolog-1 (SIRT1) in post-necrotizing enterocolitis stricture. Materials and Methods The expression characteristics of SIRT1 and TGF-β1 in post-necrotizing enterocolitis stricture were detected by immunohistochemistry. The siRNA-SIRT1 was used to inhibit the expression of SIRT1 in intestinal epithelial cells-6 (IEC-6), and qRT-PCR, WB, and ELISA were utilized to detect the changes of Transforming growth factor-β1 (TGF-β1), nuclear factor (NF)-κB, tumor necrosis factor-α (TNF-α), tight junction protein-1 (ZO-1), and vascular endothelial growth factor (VEGF) expressions. The IEC-6 cell proliferation and migration ability were tested via CCK8 kit and Transwell test. The expression of E-cadherin and Vimentin in cells was detected by immunofluorescence. Results The CRP, IL-6, IL-10, and IFN-γ in the serum of Necrotizing enterocolitis (NEC) intestinal stenosis patients were significantly higher than the reference values. The SIRT1 protein was under-expressed and the TGF-β1 protein was overexpressed in NEC intestinal stenosis tissue. And the expression of SIRT1 was negatively correlated with TGF-β1. At the time of diagnosis of NEC, the expression of SIRT1 decreased in children with respiratory distress syndrome and CRP level increased. After inhibiting the expression of SIRT1 in IEC6 cells, the expression levels of TGF-β1, Smad3, and NF-κB were decreased, and the expression of ZO-1 was also decreased. The proliferation and migration ability of IEC6 cells was decreased significantly, and the expression of E-cadherin and Vimentin proteins in IEC6 cells did not change significantly. Conclusion Promotion of intestinal fibrosis by inflammation may be the mechanism of post-necrotizing enterocolitis stricture. SIRT1 may be a protective protein of NEC. The probable mechanism is that SIRT1 can regulate intestinal fibrosis and can protect the intestinal mucosal barrier function to participate in the process of post-necrotizing enterocolitis stricture.
Cross-kingdom co-occurrence networks in the plant microbiome: Importance and ecological interpretations

Microbial co-occurrence network analysis is being widely used for data exploration in plant microbiome research. Still, challenges lie in how well these microbial networks represent natural microbial communities and how well we can interpret and extract eco-evolutionary insights from the networks. Although many technical solutions have been proposed, in this perspective, we touch on the grave problem of kingdom-level bias in network representation and interpretation. We underscore the eco-evolutionary significance of using cross-kingdom (bacterial-fungal) co-occurrence networks to increase the network’s representability of natural communities. To do so, we demonstrate how ecosystem-level interpretation of plant microbiome evolution changes with and without multi-kingdom analysis. Then, to overcome oversimplified interpretation of the networks stemming from the stereotypical dichotomy between bacteria and fungi, we recommend three avenues for ecological interpretation: (1) understanding dynamics and mechanisms of co-occurrence networks through generalized Lotka-Volterra and consumer-resource models, (2) finding alternative ecological explanations for individual negative and positive fungal-bacterial edges, and (3) connecting cross-kingdom networks to abiotic and biotic (host) environments.
Implementasi Web Service Dan Analisis Kinerja Algoritma Klasifikasi Data Mining Untuk Memprediksi Diabetes Mellitus

Salah satu penyakit yang ditimbulkan akibat kesalahan pola gaya hidup adalah Diabetes Mellitus (DM). Gejala penyakit diabetes sering dilalaikan oleh kebanyakan orang, sehingga mereka cenderung untuk mengabaikannya dan tidak mau melakukan medical check up . Di Indonesia jumlah penderita DM terus mengalami peningkatan dari tahun ke tahun. World Health Organization (WHO) memperkirakan jumlah penderita DM tipe 2 di Indonesia akan mengalami peningkatan secara signifikan hingga 21,3 juta jiwa pada tahun 2030 mendatang. Ternyata dengan bantuan ilmu data mining , data pasien diabetes dapat digunakan untuk memprediksi apakah sesorang positif diabetes atau tidak. Tahapan awal dilakukan preprocessing data untuk menangani missing dan non numeric value s. Kemudian traning dan testing menggunakan k-fold cross validation dengan algoritma K-Nearest Neighbors (KNN), r andom f orest dan n aive b ayesian . Pengujian dilakukan dengan menghitung accuracy, sensitivity dan specificity . Dari hasil uji 10- fold cross validation diperoleh rata-rata akurasi tertinggi ketika menggunakan naive bayesian yaitu 75,65%, sedangkan KNN 75,53% dan random forest 73,69%. Perhitungan sensitivity dan specificity dengan membagi 786 data menjadi 594 data training dan 192 data testing. Untuk KNN diperoleh sensitivity 56,72% dan specificity 78,68%, random forest diperoleh sensitivity 53,73% dan specificity 86,4%, sedangkan naive bayesian diperoleh sensitivity 62,69% dan specificity 84%. Implementasi restful web service diterapkan pada model dengan akurasi tertinggi yaitu naive bayesian dengan format json sebagai return value .
The effect of endovascular baroreflex amplification on central sympathetic nerve circuits and cerebral blood flow in patients with resistant hypertension: A functional MRI study

Background Endovascular baroreflex amplification (EVBA) by implantation of the MobiusHD is hypothesized to lower blood pressure by decreasing sympathetic activity through the mechanism of the baroreflex. In the present exploratory study we investigated the impact of MobiusHD implantation on central sympathetic nerve circuits and cerebral blood flow (CBF) in patients with resistant hypertension. Materials and methods In thirteen patients, we performed blood oxygenation level-dependent functional magnetic resonance imaging (BOLD fMRI) at rest and during Valsalva maneuvers, before and 3 months after EVBA. Data were analyzed using a whole-brain approach and a brainstem-specific analysis. CBF was assessed using arterial spin labeling MRI. Results Resting-state fMRI analysis did not reveal significant differences in functional connectivity at 3 months after EVBA. For the Valsalva maneuver data, the whole-brain fMRI analysis revealed significantly increased activation in the posterior and anterior cingulate, the insular cortex, the precuneus, the left thalamus and the anterior cerebellum. The brainstem-specific fMRI analysis showed a significant increase in BOLD activity in the right midbrain 3 months after EVBA. Mean gray matter CBF (partial volume corrected) decreased significantly from 48.9 (9.9) ml/100 gr/min at baseline to 43.4 (13.0) ml/100 gr/min (p = 0.02) at 3 months. Conclusions This first fMRI pilot study in patients with resistant hypertension treated with EVBA showed a significant increase in BOLD activity during the Valsalva maneuver in brain regions related to sympathetic activity. No notable signal intensity changes were observed in brain areas involved in the baroreflex circuit. Future randomized controlled studies are needed to investigate whether the observed changes are directly caused by EVBA. Clinical trial registration www.clinicaltrials. gov, identifier: NCT02827032.
MycoWiki: Functional annotation of the minimal model organism Mycoplasma pneumoniae

The human pathogen Mycoplasma pneumoniae is viable independently from host cells or organisms, despite its strongly reduced genome with only about 700 protein-coding genes. The investigation of M. pneumoniae can therefore help to obtain general insights concerning the basic requirements for cellular life. Accordingly, M. pneumoniae has become a model organism for systems biology in the past decade. To support the investigation of the components of this minimal bacterium, we have generated the database MycoWiki. (http://mycowiki.uni-goettingen.de) MycoWiki organizes data under a relational database and provides access to curated and state-of-the-art information on the genes and proteins of M. pneumoniae. Interestingly, M. pneumoniae has undergone an evolution that resulted in the limited similarity of many proteins to proteins of model organisms. To facilitate the analysis of the functions of M. pneumoniae proteins, we have integrated structure predictions from the AlphaFold Protein Structure Database for most proteins, structural information resulting from in vivo cross-linking, and protein-protein interactions based on a global in vivo study. MycoWiki is an important tool for the systems and synthetic biology community that will support the comprehensive understanding of a minimal organism and the functional annotation of so far uncharacterized proteins.
Comparative transcriptome analysis unveiling reactive oxygen species scavenging system of Sonneratia caseolaris under salinity stress

Many mangrove forests have undergone major changes as a result of human activity and global climate change. Sonneratia caseolaris is a common tree located in inner mangroves, and its range extends inland along tidal creeks, as far as the influence of salinity extends. This study investigated the physiological and molecular response mechanisms of S. caseolaris by analyzing its antioxidant defense capacity, including its differentially expressed genes (DEGs) under similar salt stress conditions. Salt treatment significantly affected the osmoprotectants and lipid peroxidation in S. caseolaris seedlings, which increased proline (Pro) content by 31.01–54.90% during all sample periods and decreased malonaldehyde (MDA) content by 12.81 and 18.17% at 25 and 40 days under 3.0% NaCl treatment. Antioxidant enzyme activities increased significantly following 3.0% NaCl treatment. Transcriptome analysis following De novo assembly showed 26,498 matched unigenes. The results showed that 1,263 DEGs responded to transcription factors (TFs) and plant phytohormones and mediated oxidoreductase activity to scavenge reactive oxygen species (ROS) in the control vs. 3.0% NaCl comparison. In addition, the transcription levels of genes associated with auxin and ethylene signal transduction also changed. Under salt stress, ROS scavenging genes (POD, CAT, and APX) and part of AP2, MYB, NAC, C2C2, bHLH, and WRKY TFs were upregulated. This study identified important pathways and candidate genes involved in S. caseolaris salinity tolerance and provided suggestions for further research into the mechanisms of salt tolerance in S. caseolaris.
Abnormal network homogeneity of default-mode network and its relationships with clinical symptoms in antipsychotic-naïve first-diagnosis schizophrenia

Schizophrenia is a severe mental disorder affecting around 0.5–1% of the global population. A few studies have shown the functional disconnection in the default-mode network (DMN) of schizophrenia patients. However, the findings remain discrepant. In the current study, we compared the intrinsic network organization of DMN of 57 first-diagnosis drug-naïve schizophrenia patients with 50 healthy controls (HCs) using a homogeneity network (NH) and explored the relationships of DMN with clinical characteristics of schizophrenia patients. Receiver operating characteristic (ROC) curves analysis and support vector machine (SVM) analysis were applied to calculate the accuracy of distinguishing schizophrenia patients from HCs. Our results showed that the NH values of patients were significantly higher in the left superior medial frontal gyrus (SMFG) and right cerebellum Crus I/Crus II and significantly lower in the right inferior temporal gyrus (ITG) and bilateral posterior cingulate cortex (PCC) compared to those of HCs. Additionally, negative correlations were shown between aberrant NH values in the right cerebellum Crus I/Crus II and general psychopathology scores, between NH values in the left SMFG and negative symptom scores, and between the NH values in the right ITG and speed of processing. Also, patients’ age and the NH values in the right cerebellum Crus I/Crus II and the right ITG were the predictors of performance in the social cognition test. ROC curves analysis and SVM analysis showed that a combination of NH values in the left SMFG, right ITG, and right cerebellum Crus I/Crus II could distinguish schizophrenia patients from HCs with high accuracy. The results emphasized the vital role of DMN in the neuropathological mechanisms underlying schizophrenia.
Deciphering the focuses and trends in skin regeneration research through bibliometric analyses

Increasing attention to skin regeneration has rapidly broadened research on the topic. However, no bibliometric analysis of the field’s research trends has yet been conducted. In response to this research gap, this study analyzed the publication patterns and progress of skin regeneration research worldwide using a bibliometric analysis of 1,471 papers comprising 1,227 (83.4%) original articles and 244 (16.6%) reviews sourced from a Web of Science search. Publication distribution was analyzed by country/region, institution, journal, and author. The frequency of keywords was assessed to prepare a bibliometric map of the development trends in skin regeneration research. China and the United States were the most productive countries in the field: China had the greatest number of publications at 433 (29.4%) and the United States had the highest H-index ranking (59 with 15,373 citations or 31.9%). Author keywords were classified into four clusters: stem cell, biomaterial, tissue engineering, and wound dressing. “Stem cells,” “chitosan,” “tissue engineering,” and “wound dressings” were the most frequent keywords in each cluster; therefore, they reflected the field’s current focus areas. “Immunomodulation,” “aloe vera,” “extracellular vesicles,” “injectable hydrogel,” and “three-dimensional (3D) bioprinting” were relatively new keywords, indicating that biomaterials for skin regeneration and 3D bioprinting are promising research hotspots in the field. Moreover, clinical studies on new dressings and techniques to accelerate skin regeneration deserve more attention. By uncovering current and future research hotspots, this analysis offers insights that may be useful for both new and experienced scholars striving to expand research and innovation in the field of skin regeneration.
Incremental peritoneal dialysis after unplanned start initiation

Incremental peritoneal dialysis (PD) is characterized as less than a “standard dose” PD prescription. Compared to standard treatment, it has many potential advantages, including better preservation of residual renal function, a lower risk of peritonitis, and a decreased care delivery burden while reducing the environmental impact and economic cost. Unplanned PD can be defined when treatment starts up to 14 days after catheter insertion and is recognized as a safe and feasible clinical approach. In this perspective paper, we briefly discuss both strategies and share our experience and clinical routine in managing incremental PD after unplanned initiation.
Editorial: Integrated phylogeography and population genomics of coastal ecosystems

COPYRIGHT © 2022 Mori, Wee, Tsuda and Hinsinger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. TYPE Editorial PUBLISHED 22 July 2022 DOI 10.3389/fcosc.2022. 959254
Household financial literacy and relative poverty: An analysis of the psychology of poverty and market participation

Financial literacy is the significant human capital factor affecting people's ability to obtain financial services. Evaluating the relationship between financial literacy and relative poverty is of great significance to poverty reduction. This study investigated the impacts of financial literacy on relative poverty from the perspective of poverty psychology and market participation using data from the 2017, 2019 China Household Finance Survey (CHFS). The empirical findings showed that financial literacy can alleviate relative household poverty through household participation in entrepreneurial activities, commercial insurance participation and the choice of lending channels. Financial literacy has significant poverty reduction effect on households of continuous operation, reduces the likelihood of exiting operation. Further discussion showed that the poverty reduction effect of financial literacy is more pronounced among households with higher levels of financial literacy, under the age of sixty, low levels of indebtedness and in the eastern region. Our study provides empirical evidence for encouraging market participation and promoting financial literacy and provide valuable recommendations for the policymaker to improve poverty reduction effect in the developing country context.
IFN-γ/Doxorubicin Complex Nanoparticles for Enhancing Therapy in the Context of Human Ovarian Carcinoma

The cytokine interferon gamma (IFN-γ) and doxorubicin mono-therapy has been approved by the Food and Drug Administration (FDA) for the treatment of tumors. The importance of IFN-γ in the immune system lies in its immunomodulatory effects, and the importance of doxorubicin in antitumor therapy lies in inhibiting RNA and DNA synthesis. In this work, the role of IFN-γ in the antitumor activity in combination with doxorubicin was investigated. Meanwhile, IFN-γ was used as a vehicle to load doxorubicin over immunotherapy and chemotherapy for synergistic therapy. IFN-γ/doxorubicin complex nanoparticles were prepared by a fusion method with a size of approximately 13 nm and a low polydispersity index. The doxorubicin release profile was analyzed with different pH ranges, and it showed an enhanced release in acidic pH. The ability of IFN-γ/doxorubicin complex nanoparticles to induce human ovarian carcinoma cell (Skov 3) apoptosis was evaluated by the cytotoxicity test. The cellular uptake of IFN-γ/doxorubicin complex nanoparticles was time-dependent, and the IFN-γ/doxorubicin complex nanoparticles showed a higher apoptosis efficiency than free doxorubicin by flow cytometry analysis and fluorescence imaging. This work bridged IFN-γ with doxorubicin to utilize their potential for antitumor activities, opening new avenues for their use in clinical settings.