Miracle-dz/UniFAR-FTUs huggingface dataset:
Peripheral Immune Cell Profiling Reveals Distinct Immune Hallmarks in Progressive Pulmonary Fibrosis.

Within the spectrum of fibrosing interstitial lung diseases (f-ILDs) there is a subset of patients who exhibit a similar clinical course and prognosis to those with idiopathic pulmonary fibrosis (IPF), named progressive pulmonary fibrosis (PPF). 1,2 The mechanisms underlying PPF are unclear. We hypothesize that the peripheral immune cell profile in PPF may differ from non-progressive f-ILDs (non-PPF). To test this hypothesis, we determined the blood immune cell profile in patients with f-ILDs at diagnosis and we explored their association with disease severity, as determined by lung function (forced vital capacity [FVC] and diffusing capacity for carbon monoxide [DLCO]). Patients were then followed-up for 12 months and classified post hoc as PPF or nonPPF. This allowed us to compare the relationship of the immune cell profile determined at baseline and PPF. This observational study included 33 patients with f-ILDs, other than IPF. Diagnosis of ILDs was established through a multidisciplinary discussion based on clinical characteristics along with HRCT scan, bronchoalveolar lavage, and lung biopsy patterns if appropriate. Disease progression was defined as per international guidelines (ATS/ERS/JRS/ALAT), by ≥2 of the following criteria: worsening respiratory symptoms, lung function progression (absolute change in FVC ≥5% and/or DLCO ≥10%) and/or radiological progression. 1
The impact of climate change on the Iberian low-level wind jet: EURO-CORDEX regional climate simulation

A sharp temperature contrast, observed mostly in summer, between high temperatures over land and lower temperatures over the ocean and the typical summer synoptic scale configuration (high-pressure system over the ocean and thermal low inland) are responsible for the development of a coastal low-level jet (CLLJ). The low-level horizontal pressure gradient induces, through geostrophic adjustment, a strong alongshore flow, which is also influenced by local orography and the high-pressure subsidence over the maritime boundary layer. In this study, the EURO-CORDEX hindcast forced by ERA-Interim (1989–2009), the historic reference (1960–2006) and the future (2006–2100; RCP8.5) simulations, forced by EC-Earth global model, are used to determine the climate change signal on the CLLJ off the Iberian Peninsula's western coast. Although the boundary conditions of the hindcast and historic reference simulations have different resolutions, both have similar distributions and features of CLLJ. In the summer, a clear rise in the occurrence of CLLJ is expected throughout the 21st century, with the highest increase off the northwest coast of Iberia (~14%). The CLLJ prevailing height is confined between 300 and 400 m and the most frequent maximum wind speed is 15 m s−1 both in present and future climate; nevertheless, a shift to higher values is expected. The predominant wind direction at jet height is north–northeast in all simulations. The temporal evolution of CLLJ occurrence during the 21st century shows that there is no significant trend in spring and autumn, although some decadal variability is observed.
Non-Invasive, Targeted Nanoparticle-Mediated Drug Delivery across a Novel Human BBB Model

The blood–brain barrier (BBB) is a highly sophisticated system with the ability to regulate compounds transporting through the barrier and reaching the central nervous system (CNS). The BBB protects the CNS from toxins and pathogens but can cause major issues when developing novel therapeutics to treat neurological disorders. PLGA nanoparticles have been developed to successfully encapsulate large hydrophilic compounds for drug delivery. Within this paper, we discuss the encapsulation of a model compound Fitc-dextran, a large molecular weight (70 kDa), hydrophilic compound, with over 60% encapsulation efficiency (EE) within a PLGA nanoparticle (NP). The NP surface was chemically modified with DAS peptide, a ligand that we designed which has an affinity for nicotinic receptors, specifically alpha 7 nicotinic receptors, found on the surface of brain endothelial cells. The attachment of DAS transports the NP across the BBB by receptor-mediated transcytosis (RMT). Assessment of the delivery efficacy of the DAS-conjugated Fitc-dextran-loaded PLGA NP was studied in vitro using our optimal triculture in vitro BBB model, which successfully replicates the in vivo BBB environment, producing high TEER (≥230 Ω/cm2) and high expression of ZO1 protein. Utilising our optimal BBB model, we successfully transported fourteen times the concentration of DAS-Fitc-dextran-PLGA NP compared to non-conjugated Fitc-dextran-PLGA NP. Our novel in vitro model is a viable method of high-throughput screening of potential therapeutic delivery systems to the CNS, such as our receptor-targeted DAS ligand-conjugated NP, whereby only lead therapeutic compounds will progress to in vivo studies.
iTRAQ-Based Proteomic and Physiological Analyses Reveal the Mechanisms of Dehydration and Cryopreservation Tolerance of Sophora tonkinensis Gagnep. Seeds

Sophora tonkinensi is a shrub of the genus Sophora in the family Fabaceae with anti-inflammatory and pain-relieving effects. While the cultivation, chemical makeup, and medicinal properties of S. tonkinensis have been reported, the physiological mechanisms governing its dehydration and cryopreservation tolerance of seeds remain unclear. In this study, we investigated the morphological, physiological, biochemical, and protein expression characteristics of S. tonkinensis seeds subjected to dehydration and cryopreservation techniques via the observation of cell microstructure, determination of antioxidant enzyme activity, and iTRAQ-based proteomic analysis, respectively. The results of the study demonstrated that the seeds possessed a certain level of tolerance to dehydration. The highest germination percentage of 83.0% was observed after 2 h of dehydration (10.1% water content), which was identified as the optimal time point for cryopreservation. However, the germination percentage was reduced to only 30.5% when the water content reached 5.4%, indicating that S. tonkinensis seeds exhibit intermediate storage behavior. Further investigation revealed that during seed dehydration and cryopreservation treatment, liposomes were gradually and highly fused, whereas the activities of ROS scavenging and stress defense were significantly enhanced. During dehydration, the seed tissues formed a protective mechanism of stress resistance based on protein processing in the endoplasmic reticulum and antioxidant system, which was related to the dehydration tolerance. Moreover, only three differentially expressed LEA proteins were identified, and it is speculated that the strengthening of intracellular metabolism and the absence of specific LEA and dehydrins could be crucial factors for the reduced germination percentage after excessive dehydration and cryopreservation.
Impact of Magnetite Nanowires on In Vitro Hippocampal Neural Networks

Nanomaterials design, synthesis, and characterization are ever-expanding approaches toward developing biodevices or neural interfaces to treat neurological diseases. The ability of nanomaterials features to tune neuronal networks’ morphology or functionality is still under study. In this work, we unveil how interfacing mammalian brain cultured neurons and iron oxide nanowires’ (NWs) orientation affect neuronal and glial densities and network activity. Iron oxide NWs were synthesized by electrodeposition, fixing the diameter to 100 nm and the length to 1 µm. Scanning electron microscopy, Raman, and contact angle measurements were performed to characterize the NWs’ morphology, chemical composition, and hydrophilicity. Hippocampal cultures were seeded on NWs devices, and after 14 days, the cell morphology was studied by immunocytochemistry and confocal microscopy. Live calcium imaging was performed to study neuronal activity. Using random nanowires (R-NWs), higher neuronal and glial cell densities were obtained compared with the control and vertical nanowires (V-NWs), while using V-NWs, more stellate glial cells were found. R-NWs produced a reduction in neuronal activity, while V-NWs increased the neuronal network activity, possibly due to a higher neuronal maturity and a lower number of GABAergic neurons, respectively. These results highlight the potential of NWs manipulations to design ad hoc regenerative interfaces.
JOURNÉES ÉQUATIONS AUX DÉRIVÉES PARTIELLES

, 6 > 0are Holder continuous. We note that unlike the more traditional Z^-conditions onV, (1.2) allows for the physically important case of many body interactions (see[AS], [S] for a discussion). But for 6 6 (0, 2), p > n/(2  6) it is easy to see that(1.3) 27(n) C K^W.One of the main results in [H02] was the following representation result.
The Use of Chatbots in Oncological Care: A Narrative Review

Background Few reports have investigated chatbots in patient care. We aimed to assess the current applications, limitations, and challenges in the literature on chatbots employed in oncological care. Methods We queried the PubMed database through April 2022 and included studies that investigated the use of chatbots in different phases of oncological care. The search used five different combinations of the specific terms “chatbot”, “cancer”, “oncology”, and “conversational agent”. Inclusion criteria were chatbot use in any aspect of oncological care—prevention, patient education, treatment, and surveillance. Results The initial search yielded 196 records, 21 of which met inclusion criteria. The identified chatbots mostly focused on breast and ovarian cancer (n=8), with the second most common being cervical cancer (n=3). Good patient satisfaction was reported among 14 of 21 chatbots. The most reported chatbot applications were cancer screening, prevention, risk stratification, treatment, monitoring, and management. Of 12 studies examining efficacy of care via chatbot, 9 demonstrated improvements compared to standard care. Conclusion Chatbots used for oncological care to date demonstrate high user satisfaction, and many have shown efficacy in improving patient-centered communication, accessibility to cancer-related information, and access to care. Currently, chatbots are primarily limited by the need for extensive user-testing and iterative improvement before widespread implementation.
Numerical modelling of transient dissipative radiation free convection heat and mass transfer from a non-isothermal cone with variable surface conditions

A B ST R A C T The combined effects of thermal radiation and viscous dissipation on unsteady, laminar, free convective flow with heat and mass transfer over an incompressible viscous fluid past a nonisothermal vertical cone with variable surface temperature and concentration are considered in this article. The dimensionless governing equations of the flow that are unsteady, coupled and non-linear partial differential equations are solved by an efficient, accurate and unconditionally stable finite difference scheme of Crank-Nicolson type. The velocity, temperature and concentration fields have been studied for the effect of Eckert number (Ec), Prandtl number (Pr), radiation parameter (F), Schmidt number (Sc), buoyancy ratio parameter (N), semi vertical cone angle ( φ ), surface temperature power law exponent (n) and surface concentration power law exponent (m). The local skin-friction, Nusselt number and Sherwood number are also presented and analyzed graphically. It is observed that, when the radiation parameter increases, the velocity decreases close to the cone surface and an increase in Eckert number is observed to increase both velocity and temperature. The present results are compared with the available results in literature and are found to be in good agreement.
Current Based Automated Design of Realizable Metasurface Antennas With Arbitrary Pattern Constraints

We present a 3-D method to numerically design a realizable metasurface, which transforms a given incident field into a radiated field that satisfies mask-type (inequality) constraints. The method is based on an integral equation formulation, with local impedance boundary condition (IBC) approximation. The procedure yields the spatial distribution of the impedance, yet the process involves the synthesis of the equivalent current only. This current is constrained to correspond to a realizable surface impedance, i.e., passive, lossless, and with reactance values bounded by practical realizability limits. The current-based design avoids any solution to the forward problem, and the impedance is obtained from the synthesized current only at the end of the process. The procedure is gradient-based, with the gradient expressed in closed form. This allows handling large metasurfaces, with full spatial variability of the impedance in two dimensions. The method requires no a priori information, and all relevant operations in the iterative process can be evaluated with $\boldsymbol { O}(N~\log~{N})$ complexity. Application examples concentrate on the case of on-surface excitation and far-field (FF) pattern specifications; they show designs of circular and rectangular metasurface antennas of 20 wavelengths in size, with pencil- and shaped-beam patterns, and for both circular and linear polarizations.
The Life of Saccharomyces and Non-Saccharomyces Yeasts in Drinking Wine

Drinking wine is a processed beverage that offers high nutritional and health benefits. It is produced from grape must, which undergoes fermentation by yeasts (and sometimes lactic acid bacteria) to create a product that is highly appreciated by consumers worldwide. However, if only one type of yeast, specifically Saccharomyces cerevisiae, was used in the fermentation process, the resulting wine would lack aroma and flavor and may be rejected by consumers. To produce wine with a desirable taste and aroma, non-Saccharomyces yeasts are necessary. These yeasts contribute volatile aromatic compounds that significantly impact the wine’s final taste. They promote the release of primary aromatic compounds through a sequential hydrolysis mechanism involving several glycosidases unique to these yeasts. This review will discuss the unique characteristics of these yeasts (Schizosaccharomyces pombe, Pichia kluyveri, Torulaspora delbrueckii, Wickerhamomyces anomalus, Metschnikowia pulcherrima, Hanseniaspora vineae, Lachancea thermotolerans, Candida stellata, and others) and their impact on wine fermentations and co-fermentations. Their existence and the metabolites they produce enhance the complexity of wine flavor, resulting in a more enjoyable drinking experience.
Improving Students' Entrepreneurship Interests and Concept Understanding Through the Ethnoscience-Based PBL-Networked Model

This study aim to determine the effect of the implementation of the ethnoscience-based PBL-Networked model on students' understanding of the concept and interest in entrepreneurship. The research was conducted using a quasi-experimental approach with nonequivalent control group design. The research subjects were class VII students of SMPN 4 Sungai penuh. Determination of the sample used purposive sampling technique. The data were obtained from the results of the pretest and posttest as well as the student interest in entrepreneurship questionnaire. The instrument is used after being validated by a team of experts. Based on data analysis, that the implementation of the ethnoscience-based Problem Based Learning learning model has an influence on students' understanding of concepts and interest in entrepreneurship. Ethnoscience-based PBL-Networked model learning tools are effective in significantly increasing students' understanding of concepts and interest in entrepreneurship. The effect on students' understanding of concepts and interest in entrepreneurship is higher in the implementation of the ethnoscience-based PBL-Networked model than in conventional classes. This is based on the results of the One way MANOVA test showing a significance value of 0.000 which is less than the significance level α= 0.005, so it can be concluded that there is an average difference in increasing understanding of concepts and students' interest in entrepreneurship that is significant between students who learn using the ethnoscience-based PBL-Networked learning model and students who use learning tools that are already available on the Merdeka Belajar Platform
Guanidines: Synthesis of Novel Histamine H3R Antagonists with Additional Breast Anticancer Activity and Cholinesterases Inhibitory Effect

This study examines the properties of novel guanidines, designed and synthesized as histamine H3R antagonists/inverse agonists with additional pharmacological targets. We evaluated their potential against two targets viz., inhibition of MDA-MB-231, and MCF-7 breast cancer cells viability and inhibition of AChE/BuChE. ADS10310 showed micromolar cytotoxicity against breast cancer cells, combined with nanomolar affinity at hH3R, and may represent a promising target for the development of an alternative method of cancer therapy. Some of the newly synthesized compounds showed moderate inhibition of BuChE in the single-digit micromolar concentration ranges. H3R antagonist with additional AChE/BuChE inhibitory effect might improve cognitive functions in Alzheimer’s disease. For ADS10310, several in vitro ADME-Tox parameters were evaluated and indicated that it is a metabolically stable compound with weak hepatotoxic activity and can be accepted for further studies.
Cross-Grade Comparison of Students' Conceptual Understanding with Lenses in Geometric Optics

Students commonly find the field of physics difficult. Therefore, they generally have learning problems. One of the subjects with which they have difficulties is optics within a physics discipline. This study aims to determine students' conceptual understanding levels at different education levels relating to lenses in geometric optics. A cross-sectional design is used in the study. Participants in the study include one hundred and seventy-seven students at three different education levels from primary and secondary schools, and higher education. Seven open-ended questions, examining participants' conceptual understanding levels in relation to lenses, act as the data collection instrument. It is determined that students hold misconceptions such as, "convex lenses diverge light rays", "concave lenses converge light rays", "a right-side-up image replaces the previously observed inverted image, when a convex lens is removed," "myopia is corrected via convex lens," and "hyperopia is corrected via concave lens. " The results show that students from all groups (primary and secondary schools, and higher education) have a lack of knowledge and experience conceptual problems about lenses, although they learned this subject in school.
CNN-LSTM combined prediction algorithm for transmission line loss rate based on improved SSA

Line loss rate is an important indicator for evaluating the transmission level of transmission lines. In this paper, the SSA signal decomposition method is introduced. Aiming at the application of line loss rate decomposition, a local feature enhancement strategy based on sliding window is proposed. An agglomerative hierarchical clustering signal classification strategy is proposed to accurately classify trend segments, periodic segments and noise segments of line loss rates. On the basis of line loss rate feature extraction, this paper proposes a combined prediction of transmission line loss rate based on CNN-LSTM. The experimental results show that after using the EMD, WT and Sliding SSA signal decomposition methods, the prediction error indicators all decrease, and the signal decomposition is beneficial to improve the prediction accuracy of the subsequent prediction network. Sliding SSA has the best effect on the performance improvement of line loss rate prediction. Comparing the mainstream prediction network LSTM and Bi-LSTM, Bi-LSTM has a lower error index than LSTM under the same pre-decomposition method, while the error index of CNN-LSTM proposed in this paper is lower than that of Bi-LSTM, and the prediction effect of this algorithm is the best.
Serum Pancreatic Stone Protein Reference Values in Healthy Pregnant Women: A Prospective Cohort Study

Background: In non-pregnant populations, pancreatic stone protein (PSP) has been reported to have a higher diagnostic performance for identifying severe inflammatory and infectious disease than other established biomarkers. Objective: To generate reference values for serum PSP in pregnancy and compare them to the values of the general healthy population. Design: A prospective cohort study. Setting: A single center. Population: Healthy women with singleton and multiple pregnancies. Methods: This is a prospective single-center cohort study. Between 2013 and 2021, samples of 5 mL peripheral blood were drawn from 440 healthy pregnant women. Therein, 393 cases were singletons and 47 were multiple pregnancies. Serum PSP levels were measured by specific enzyme-linked immunosorbent assay. The main outcome measures were serum PSP level (ng/mL) reference values in healthy pregnant women. Results: The mean PSP reference values in women with singleton pregnancies were 7.9 ± 2.6 ng/mL (95% CI; 2.69–13.03 ng/mL). The PSP values in women with multiple pregnancies (9.17 ± 3.06 ng/mL (95% CI; 3.05–15.28 ng/mL)) were significantly higher (p = 0.001). The PSP values in the first trimester (6.94 ± 2.53 ng/mL) were lower compared to the second (7.42 ± 2.21 ng/mL) and third trimesters (8.33 ± 2.68 ng/mL, p = 0.0001). Subgroup analyses in singletons revealed no correlations between PSP values, maternal characteristics, and pre-existing medical conditions. Conclusion: The PSP values in healthy pregnant women (4–12 ng/mL) were in the range of the reference values of the general healthy population (8–16 ng/mL). This insight blazes a trail for further clinical studies on the use of PSP as a potential novel biomarker for the early detection of pregnancy-related diseases such as chorioamnionitis.
Multifunctional Finishing of Cotton Fabric with Curcumin Derivatives Coatings Obtained by Sol–Gel Method

Textile materials with fluorescent, repellent, or antimicrobial properties are increasingly used in common applications. Obtaining multi-functional coatings is of wide interest, especially for applications related to signaling or to the medical field. In order to increase the performance (color properties, fluorescence lifetime, self-cleaning or antimicrobial properties) of textile materials with special uses, a series of research was carried out regarding the modification of surfaces with nanosols. In this study, coatings with multiple properties were obtained by depositing nanosols on cotton fabrics generated through sol–gel reactions. These multifunctional coatings are hybrid materials in which the host matrix is generated using tetraethylorthosilicate (TEOS) and network modifying organosilanes:dimethoxydimethylsilane (DMDMS) or dimethoxydiphenylsilane (DMDPS) in a 1:1 mass ratio. Two curcumin derivatives were embedded in siloxane matrices, a yellow one (CY) that is identical to bis-demethoxycurcumin (one of the natural constituents in turmeric) and a red dye (CR) that has a N,N-dimethylamino group grafted in position 4 of the dicinnamoylmethane skeleton of curcumin. The nanocomposites obtained by embedding curcumin derivatives in siloxane matrices were deposited on cotton fabric and studied in relation to the dye and the type of host matrix. Fabrics coated with such systems provide a hydrophobic surface, have fluorescent and antimicrobial properties, change color depending on the pH, and therefore can be used in various fields where textiles provide signaling properties, self-cleaning, or antibacterial protection. The coated fabrics maintained their good multifunctional properties even after several washing cycles.