Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study

Central nervous system (CNS) infection is one of the most common causes of morbidity, mortality, and hospital admission worldwide. The natural history of CNS infection is quite fatal. Early diagnosis and treatment have been proven to have a crucial role in patients' survival. The aim of this study was to identify the epidemiological and clinical patterns of patients diagnosed with CNS infections.
Branching processes in Lévy processes: the exploration process

The main idea of the present work is to associate with a general continuous branching process an exploration process that contains the desirable information about the genealogical structure. The exploration process appears as a simple local time functional of a Levy process with no negative jumps, whose Laplace exponent coincides with the branching mechanism function. This new relation between spectrally positive Levy processes and continuous branching processes provides a unified perspective on both theories. In particular, we derive the adequate formulation of the classical Ray-Knight theorem for such Levy processes. As a consequence of this theorem, we show that the path continuity of the exploration process is equivalent to the almost sure extinction of the branching process.
Chitin-Glucan Complex Hydrogels: Physical-Chemical Characterization, Stability, In Vitro Drug Permeation, and Biological Assessment in Primary Cells

Chitin-glucan complex (CGC) hydrogels were fabricated by coagulation of the biopolymer from an aqueous alkaline solution, and their morphology, swelling behavior, mechanical, rheological, and biological properties were studied. In addition, their in vitro drug loading/release ability and permeation through mimic-skin artificial membranes (Strat-M) were assessed. The CGC hydrogels prepared from 4 and 6 wt% CGC suspensions (Na51*4 and Na51*6 hydrogels, respectively) had polymer contents of 2.40 ± 0.15 and 3.09 ± 0.22 wt%, respectively, and displayed a highly porous microstructure, characterized by compressive moduli of 39.36 and 47.30 kPa and storage moduli of 523.20 and 7012.25 Pa, respectively. Both hydrogels had a spontaneous and almost immediate swelling in aqueous media, and a high-water retention capacity (>80%), after 30 min incubation at 37 °C. Nevertheless, the Na51*4 hydrogels had higher fatigue resistance and slightly higher-water retention capacity. These hydrogels were loaded with caffeine, ibuprofen, diclofenac, or salicylic acid, reaching entrapment efficiency values ranging between 13.11 ± 0.49% for caffeine, and 15.15 ± 1.54% for salicylic acid. Similar release profiles in PBS were observed for all tested APIs, comprising an initial fast release followed by a steady slower release. In vitro permeation experiments through Strat-M membranes using Franz diffusion cells showed considerably higher permeation fluxes for caffeine (33.09 µg/cm2/h) and salicylic acid (19.53 µg/cm2/h), compared to ibuprofen sodium and diclofenac sodium (4.26 and 0.44 µg/cm2/h, respectively). Analysis in normal human dermal fibroblasts revealed that CGC hydrogels have no major effects on the viability, migration ability, and morphology of the cells. Given their demonstrated features, CGC hydrogels are very promising structures, displaying tunable physical properties, which support their future development into novel transdermal drug delivery platforms.
Piecewise Potential Vorticity Inversion: Elementary Tests

Abstract Piecewise potential vorticity inversion (PPVI) is widely accepted as a useful tool in atmospheric diagnostics. This method is thought to quantify the instantaneous interaction at a distance of anomalies of potential vorticity (PV) separated horizontally and/or vertically. Doubts with respect to the dynamical justification of PPVI are formulated. In particular, it is argued that the tendency of the inverted streamfunction must be determined in order to quantify far-field effects. Elementary tests of PPVI are conducted to clarify these points. First, PPVI is performed for the textbook case of linear Rossby waves in a one-dimensional barotropic fluid. Analytic solutions are presented for PPVI and the related tendency problem. It is found that PPVI does not contribute to an understanding of Rossby wave dynamics. On the other hand, PPVI turns out to be more useful when applied to confined PV extrema. Neither the application of PPVI to linear baroclinic waves in zonal shear flow nor the inversions of t.
The Positive Effect of 6-Gingerol on High-Fat Diet and Streptozotocin-Induced Prediabetic Mice: Potential Pathways and Underlying Mechanisms

The purposes of the present work are to assess how 6-gingerol (6G) positively influences serum glucose regulation in mice with prediabetes triggered by streptozotocin (STZ) plus a high-fat diet (HFD) and to clarify its underlying mechanisms. An analysis of prediabetic symptoms and biochemical characteristics found that 6G intervention was significantly associated with reduced fasting glucose levels, alleviated insulin resistance, better glucose tolerance, hepatic and pancreatic impairment, and dyslipidemia. For the recognition of the target gut microbiota and the pathways linked to 6G’s hypoglycemic function, a combination of hepatic RNA and 16S rRNA sequencing was employed. Specifically, 6G significantly improved the dysbiosis of the gut microbiota and elevated the relative abundances of Alistipes, Alloprevotella, and Ruminococcus_1. Furthermore, 6G supplementation inhibited gluconeogenesis and stimulated glycolysis by activating the PI3K/AKT axis, which also repressed the oxidative stress through Nrf2/Keap1-axis initiation. In addition, Spearman’s correlation analyses reveal a complex interdependency set among the gut microbiota, metabolic variables, and signaling axes. Taken together, the hypoglycemic effect of 6G is partially mediated by altered gut microbiota, as well as by activated Nrf2/Keap1 and PI3K/AKT axes. Thus, 6G may be used as a candidate dietary supplement for relieving prediabetes.
The goodness of the virtues and the sun-like good

ABSTRACT Does the Longer Way, described but not taken in Plato's Republic, provide understanding that justice and other virtues are good? Sarah Broadie argues that it does not, on the grounds that Socrates and the brothers learn about justice's goodness without taking the Longer Way. I argue that Socrates’ arguments for justice's goodness are not so complete as to make it impossible for philosopher-rulers to gain from the Longer Way greater understanding of the same point. My main textual evidence is a passage of Book IX (589b–c), a summary that has been widely underappreciated.
Eltrombopag Inhibits Metastasis in Breast Carcinoma by Targeting HuR Protein

Eltrombopag is a small molecule TPO-R agonist that has been shown in our previous studies to inhibit tumor growth by targeting Human antigen R (HuR) protein. HuR protein not only regulates the mRNA stability of tumor growth-related genes, but it also regulates the mRNA stability of a variety of cancer metastasis-related genes, such as Snail, Cox-2, and Vegf-c. However, the role and mechanisms of eltrombopag in breast cancer metastasis have not been fully investigated. The purpose of this study was to investigate whether eltrombopag can inhibit breast cancer metastasis by targeting HuR. Our study first found that eltrombopag can destroy HuR-AU-rich element (ARE) complexes at the molecular level. Secondly, eltrombopag was found to suppress 4T1 cell migration and invasion and inhibit macrophage-mediated lymphangiogenesis at the cellular level. In addition, eltrombopag exerted inhibitory effects on lung and lymph node metastasis in animal tumor metastasis models. Finally, it was verified that eltrombopag inhibited the expressions of Snail, Cox-2, and Vegf-c in 4T1 cells and Vegf-c in RAW264.7 cells by targeting HuR. In conclusion, eltrombopag displayed antimetastatic activity in breast cancer in an HuR dependent manner, which may provide a novel application for eltrombopag, hinting at the multiple effects of HuR inhibitors in cancer therapy.
Current Techniques of Water Solubility Improvement for Antioxidant Compounds and Their Correlation with Its Activity: Molecular Pharmaceutics

The aqueous solubility of a drug is important in the oral formulation because the drug can be absorbed from intestinal sites after being dissolved in the gastrointestinal fluid, leading to its bioavailability. Almost 80% of active pharmaceutical ingredients are poorly water-soluble, including antioxidant compounds. This makes antioxidant activity inefficient in preventing disease, particularly for orally administered formulations. Although several investigations have been carried out to improve the solubility of antioxidant compounds, there is still limited research fully discussing the subject. Therefore, this study aimed to provide an overview and discussion of the issues related to the methods that have been used to improve the solubility and activity of antioxidant compounds. Articles were found using the keywords “antioxidant” and “water solubility improvement” in the Scopus, PubMed, and Google Scholar databases. The selected articles were published within the last five years to ensure all information was up-to-date with the same objectives. The most popular methods of the strategies employed were solid dispersion, co-amorphous, and nanoparticle drug delivery systems, which were used to enhance the solubility of antioxidant compounds. These investigations produced impressive results, with a detailed discussion of the mechanism of improvement in the solubility and antioxidant activity of the compounds developed. This review shows that the strategies used to increase the solubility of antioxidant compounds successfully improved their antioxidant activity with enhanced free radical scavenging abilities.
Body Composition in Patients with Follicular Lymphoma: Asso-Ciations between Changes in Radiomic Parameters in Patients Treated with R-CHOP-like and R-B Regimens: LyRa 01F

Simple Summary In this study, we assessed changes in bone mineral density at disease onset and at the end of therapy in follicular lymphoma patients treated with R-CHOP and R-Bendamustine regimens. Another aim was to assess whether low bone mineral density at the onset of the disease is an unfavorable prognostic index. We also evaluated changes in other radiomic parameters, such as the musculoskeletal index, visceral adipose tissue, and subcutaneous adipose tissue in patients treated with R-Bendamustine and R-CHOP, with the latter containing high doses of steroids, which we know are associated with negative bone balance, a loss of muscle mass, and metabolic and cardiovascular issues. This is particularly relevant in elderly patients, in whom these changes could have an important impact on outcomes and the quality of life. As R-CHOP and R-Bendamustine are two effective treatment regimens in follicular lymphoma, this study, together with other clinical-laboratory parameters, could help in the choice of therapy. Abstract In patients with follicular lymphoma (FL), therapeutic advances have led to improved survival, and within this framework, it is important to identify treatment strategies offering a better quality of life. Using (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT), in patients treated with R-CHOP-like or R-Bendamustine regimens, we assessed changes in the bone mineral density (BMD), musculoskeletal index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) at disease onset and at the end of therapy. We evaluated whether the high-steroid regimen could lead to more significant radiological changes than those induced by the steroid-free regimen and whether a low BMD at disease onset is an unfavorable prognostic index. Seventy-nine patients between 60 and 80 years old with a new diagnosis of FL were included in the study. Evaluation of Delta values (pre- and post-therapy mean values) in the two immunochemotherapy regimens showed differences in radiomic parameters within the two patient cohorts. The R-CHOP-like regimen was associated with a significant reduction in BMD, an increase in SAT and VAT, and a reduction in skeletal muscle density (SMD) and SMI. Moreover, patients with high FLIPI showed a BMD below the cut-off value. This study represents the first study demonstrating a prognostic correlation between FLIPI and low BMD.
Characterization of an IDH1 R132H Rabbit Monoclonal Antibody, MRQ-67, and Its Applications in the Identification of Diffuse Gliomas

The current diagnosis of diffuse glioma involves isocitrate dehydrogenase (IDH) mutation testing. Most IDH mutant gliomas carry a G-to-A mutation at IDH1 position 395, resulting in the R132H mutant. R132H immunohistochemistry (IHC), therefore, is used to screen for the IDH1 mutation. In this study, the performance of MRQ-67, a recently generated IDH1 R132H antibody, was characterized in comparison with H09, a frequently used clone. Selective binding was demonstrated by an enzyme-linked immunosorbent assay for MRQ-67 to the R132H mutant, with an affinity higher than that for H09. By Western and dot immunoassays, MRQ-67 was found to bind specifically to the IDH1 R1322H, with a higher capacity than H09. IHC testing with MRQ-67 demonstrated a positive signal in most diffuse astrocytomas (16/22), oligodendrogliomas (9/15), and secondary glioblastomas tested (3/3), but not in primary glioblastomas (0/24). While both clones demonstrated a positive signal with similar patterns and equivalent intensities, H09 exhibited a background stain more frequently. DNA sequencing on 18 samples showed the R132H mutation in all IHC positive cases (5/5), but not in negative cases (0/13). These results demonstrate that MRQ-67 is a high-affinity antibody suitable for specific detection of the IDH1 R132H mutant by IHC and with less background as compared with H09.
Epidemic Spreading Characteristics and Immunity Measures Based on Complex Network with Contact Strength and Community Structure

Middle East Respiratory Syndrome (MERS), bursting in South Korea from May 2015 and mainly spreading within the hospitals at the beginning, has caused a large scale of public panic. Aiming at this kind of epidemic spreading swiftly by intimate contact within community structure, we first established a spreading model based on contact strength and SI model, and a weighted network with community structure based on BBV network model. Meanwhile, the sufficient conditions were deduced to ensure the optimal community division. Next, after the verification by the real data of MERS, it is found that the spreading rate is closely related to the average weight of network but not the number of communities. Then, as the further study shows, the final infection proportion declines with the decreases both in isolation delay and in average weight; however, this proportion can only be postponed rather than decreased with respect to sole average weight reduction without isolation. Finally, the opportunities to take action can be found to restrain the epidemic spreading to the most extent.
Ridge Polynomial Neural Network for Brain Cancer Based on Android

Brain cancer is a disease the causes the highest mortality after breast cancer. The epidemiological data of brain cancer in Indonesia does not have a diagnostic technique that is less than optimal and the case registration data is incomplete. One of the causes of delays in brain cancer detection is the high cost and lack of public knowledge about the risk of brain cancer. The purpose of this paper is to create an adroid application using the ridge polynomial neural network algorithm. The results of brain cancer detection will be visualized in patients at Haji Adam Malik General Hospital Medan which was shown in the 450th iteration by achieving an MSE of 0.021550.
On the fractional-order modeling of COVID-19 dynamics in a population with limited resources

Resource availability plays a pivotal role in the ﬁght against emerging infections such as COVID-19. In the event where there are limited resources the control of an epidemic disease tends to be slow and the disease spread faster in the human population. In this paper, we are motivated to formulate and investigate a mathematical model via the Caputo derivative which incorporates the impact of limited resources on COVID-19 transmission dynamics in the population. We analyze the fractional model by computing the equilibrium points, and basic reproduction number, ( R 0 ) , and also used the Banach-ﬁxed point theorem to prove the existence and uniqueness of the solution of the model. The impact of each parameter on the dynamical spread of COVID-19 was examined by the help of Sensitivity analysis. Results from mathematical analyses depict that the disease-free equilibrium is stable if R 0 < 1 and unstable otherwise. Numerical simulations were carried out at different fractional order derivatives to understand the impact of several model parameters on the dynamics of the infection which can be used to establish the inﬂuential parameter driving the epidemic transmission path. Our numerical results show that an increase in the recovery rate of hospitalization increases the number of infected individuals. The results of this work can help policymakers to devise strategies to reduce the COVID-19 infection.
Vorticity-generation mechanisms in bores

Rotational motions, or vorticity, can be created within a fluid domain by two mechanisms: baroclinic torque and viscous-shear torque. Both baroclinic and viscous-shear torques require the presence of fluid-density gradients. It is shown that vortical motions in the surface roller of a bore are created by baroclinic torque acting along the front face of the bore; this baroclinic torque is caused by dynamic-pressure gradient along the air-water interface. On the other hand, vortical motions in an internal bore, with a small density difference between the upper and lower fluids, are generated by baroclinic torque caused by the static-pressure gradient along the interface of two fluids. Vorticity generated in an internal bore has the opposite rotation to that of a bore in the air water environment. In both cases, the viscous-shear torque plays an insignificant role in the creation of vorticity.
The design assessment of lambda /4 phase-shifted DFB laser structures

A detailed nonlinear model of the performance of single-frequency laser structures operating both below and above threshold is discussed. Arbitrary series combinations of uniform pitch grating, linearly-chirped pitch grating and plane guide sections can be analyzed-taking longitudinal-mode spatial hole burning into account. The material properties of each section of a device structure can be specified. The output power from each end of the laser and the emission wavelength, and the longitudinal intensity, carrier density, and relative permittivity profiles are predicted as a function of drive current above threshold for each lasing mode. The linewidth is also estimated while allowing for the nonuniform longitudinal distribution of spontaneous emission into the mode in a physical manner. The model was used to provide the data with which to trade off the numerous interacting performance parameters of a lambda /4 phase-shifted DFB (distributed-feedback) laser. The design options are then summarized. >
Preeclampsia and neonatal outcomes in adolescent and adult patients

Preeclampsia is an important health problem with a higher prevalence in the adolescent population. Furthermore, preeclampsia causes adverse maternal and neonatal outcomes. Newborns can be affected by preeclampsia, resulting in lower birth weight or Apgar score, the need for neonatal intensive care, or prematurity. All these complications are also associated with adolescent pregnancies, and together with preeclampsia, it can determine poorer neonatal outcomes. The aim of the study was to compare the neonatal outcomes of adolescents and adults with preeclampsia. We analyzed data on all the newborns of adolescents with preeclampsia (n=12) who delivered at the Department of Obstetrics and Gynecology of University Emergency Hospital in Bucharest between January 1st, 2019, and December 31st, 2019 and compared it with data from 12 aleatory newborns of adults diagnosed with preeclampsia. The prevalence of preeclampsia was higher in the adolescent population compared with the adult one. The weight of newborns was lower among adolescents with preeclampsia. There were no significant differences in Apgar scores between the two groups. Preterm delivery was more frequent in adolescent patients with preeclampsia. Preeclampsia is an additional risk factor for adolescent pregnancy, but it is also a severe materno-fetal complication for this population.
Estimating energetic intake for marine mammal bioenergetic models

Understanding energy balance requires robust estimates of energy intake. Bioenergetics provides a key tool to investigate the effects of disturbance in marine mammals. We review the mechanistic components that affect energy intake and the processes from ingested energy to net utilizable energy. We summarize existing datasets and highlight key research gaps to advance this field to ensure effective conservation and management.
Methods of Solution and Simulation for Dynamic Rational Expectations Models

Cet article est une revue synthétique des principales méthodes de résolution et de simulation des modèles avec anticipations rationnelles. Son intention est de présenter ces méthodes de façon suffisamment technique et suffisamment brève pour qu’un utilisateur potentiel puisse choisir la méthode la mieux adaptée au modèle qu’il veut résoudre.
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks

Learning the causal structure of observable variables is a central focus for scientiﬁc discovery. Bayesian causal discovery methods tackle this problem by learning a posterior over the set of admissible graphs given our priors and observations. Existing methods primarily consider observations from static systems and assume the underlying causal structure takes the form of a directed acyclic graph (DAG). In settings with dynamic feedback mechanisms that regulate the trajectories of individual variables, this acyclicity assumption fails unless we account for time. We focus on learning Bayesian posteriors over cyclic graphs and treat causal discovery as a problem of sparse identiﬁcation of a dynamical sys-tem. This imposes a natural temporal causal order between variables and captures cyclic feedback loops through time. Under this lens, we propose a new framework for Bayesian causal discovery for dynamical systems and present a novel generative ﬂow network architecture (DynGFN) tailored for this task. Our results indicate that DynGFN learns posteriors that better encapsulate the distributions over admissible cyclic causal structures compared to counterpart state-of-the-art approaches.
GPTScore: Evaluate as You Desire

Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the utilization of large pre-trained models. Nevertheless, assessing the quality of the generation is an even more arduous task than the generation itself, and this issue has not been given adequate consideration recently. This paper proposes a novel evaluation framework, GPTScore, which utilizes the emergent abilities (e.g., zero-shot instruction) of generative pre-trained models to score generated texts. There are 19 pre-trained models explored in this paper, ranging in size from 80M (e.g., FLAN-T5-small) to 175B (e.g., GPT3). Experimental results on four text generation tasks, 22 evaluation aspects, and corresponding 37 datasets demonstrate that this approach can effectively allow us to achieve what one desires to evaluate for texts simply by natural language instructions. This nature helps us overcome several long-standing challenges in text evaluation--how to achieve customized, multi-faceted evaluation without the need for annotated samples. We make our code publicly available at https://github.com/jinlanfu/GPTScore.