Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective Triple-Negative Breast Cancer Targeted Treatment Using iRGD-Modified RBC Membrane-Camouflaged Nanoparticles

Introduction Triple-negative breast cancer (TNBC) has the high degree of malignancy and aggressiveness. There is no targeted therapy drug. Many studies have shown that RBC membrane-coated nanoparticles achieve biological camouflage. In addition, the RGD module in the iRGD mediates the penetration of the vector across the tumor blood vessels to the tumor tissue space. Therefore, we developed iRGD-RM-(DOX/MSNs) by preparing MSNs loaded with doxorubicin as the core, and coating the surface of the MSNs with iRGD-modified RBC membranes. Methods iRGD-RM-(DOX/MSNs) were fabricated using physical extrusion. In addition, their physical and chemical characterization, hemolytic properties, in vivo acute toxicity and inflammatory response, in vitro and in vivo safety, and qualitative and quantitative cellular uptake by RAW 264.7 cells and MDA-MB-231 cells were evaluated and compared. Furthermore, we examined the antitumor efficacy of iRGD-RM-(DOX/MSN) nanoparticles in vitro and in vivo. Results iRGD-RM-(DOX/MSNs) have reasonable physical and chemical properties. iRGD-RM-(DOX/MSNs) escaped the phagocytosis of immune cells and achieved efficient targeting of nanoparticles at the tumor site. The nanoparticles showed excellent antitumor effects in vivo and in vitro. Conclusion In this study, we successfully developed biomimetic iRGD-RM-(DOX/MSNs) that could effectively target tumors and provide a promising strategy for the effective treatment of TNBC.
Rhizogenesis in Cell Suspension Culture from Mango Ginger: A Source of Isosorbide and n-Hexadecanoic Acid

Curcuma amada Roxb. belongs to the monocotyledonous family Zingiberaceae. It is commonly known as mango ginger and used as a spice and valuable medicine. In this study, adventitious roots of C. amada have been successfully established from cell suspension culture. The highest percentage of adventitious root production was obtained from friable call us derived cell suspension culture. The culture conditions of adventitious root were optimized and the maximum adventitious root production was obtained in half strength MS liquid medium containing 0.3mg L -1 IBA along with 3% of sucrose after 5 weeks of culture. Among the different initial inoculum density, the best culture condition for root growth occurred at 10 g FWof initial inoculum density. GC-MS analysis revealed that the in vitro raised adventitious roots containing two valuable bioactive compounds, isosorbide and n-hexadecanoic acid. The outcome of the present work will be helpful for the large scale cultivation of adventitious roots for the production of valuable bioactive compounds.
Influence of TP53 Mutation on Survival of Diffuse Large B-Cell Lymphoma in the CAR T-Cell Era

Simple Summary The genetic landscape of diffuse large B-cell lymphoma (DLBCL) is heterogenous. So far, detailed studies about TP53 mutations in DLBCL treated with anti-CD19 chimeric antigen receptor T-cell (CAR T cells) therapy are still missing. Chemotherapy resistance is one of the challenges in TP53 mutated tumors. New immunomodulatory agents, such as different inhibitors or CAR T cells, have shown durable responses in refractory/relapsed DLBCL in recent years. Although our CAR T cell treated cohort was small, we aimed to investigate the influence of TP53 mutations on overall survival of patients treated with CAR T cells compared to DLBCL patients without CAR T-cell therapy. Identification of risk factors for treatment failure may aid in choosing the most promising treatment in every setting. Abstract Refractory/relapsed diffuse large B-cell lymphoma (DLBCL) is associated with poor outcome. The clinical behavior and genetic landscape of DLBCL is heterogeneous and still not fully understood. TP53 mutations in DLBCL have been identified as markers of poor prognosis and are often associated with therapeutic resistance. Chimeric antigen receptor T-cell therapy is an innovative therapeutic concept and represents a game-changing therapeutic option by supporting the patient’s own immune system to kill the tumor cells. We investigated the impact of TP53 mutations on the overall survival of refractory/relapsed DLBCL patients treated with comparable numbers of therapy lines. The minimum number of therapy lines was 2 (median 4), including either anti-CD19 CAR T-cell therapy or conventional salvage therapy. A total of 170 patients with DLBCL and high-grade B-cell lymphoma with MYC, BCL2, and/or BCL6 rearrangements (DHL/THL), diagnosed and treated in our hospital between 2000 and 2021, were included. Twenty-nine of them received CAR T-cell therapy. TP53 mutations were found in 10/29 (35%) and 31/141 (22%) of patients in the CAR T-cell and conventional groups, respectively. Among the 141 patients not treated with CAR T cells, TP53 mutation was an independent prognostic factor for overall survival (OS) (median 12 months with TP53 vs. not reached without TP53 mutation, p < 0.005), but in the CAR T cell treated group, this significance could not be shown (median OS 30 vs. 120 months, p = 0.263). The findings from this monocentric retrospective study indicate that TP53 mutation status does not seem to affect outcomes in DLBCL patients treated with CAR T-cell therapy. Detailed evaluation in large cohorts is warranted.
S and C band GaAs multifunction MMICs for phased array radar

A description is given of the design and the measurement RF results of what are believed to be some of the worlds most advanced working analog GaAs MMICs (monolithic microwave integrated circuits). These multifunction MMICs are designed to fill a multiple role as part of a phased-array radar transmit/receive module. The functions that these chips have been designed to realize are phase shifting, transmit/receive signal routing, transmit mode pre-power-stage amplification, and receive-mode post-low-noise-amplifier amplification. <<ETX>>
Effect of nutritional factors on urinary calcium excretion in a sample of Moroccan children and adolescents

In addition to age, gender, body weight, hormonal status as well as certain physiological and pathological states, other factors exert considerable effects on calcium (Ca) retention and therefore on its urinary excretion. Among these other factors, many dietary nutrients have all been discussed as factors affecting urinary Ca through different studies. Thus, our study aims to evaluate the impact of various nutritional factors on urinary Ca excretion among a sample of Moroccan children and adolescents aged from 6 to 18 years old. A total of 133 Moroccan children and adolescents aged between 6 and 18 years were involved in this study. Participants were required from public and private schools in Rabat-Salé-Kenitra region. For each participant, anthropometry data, food record and 24-h urine samples were collected. Urinary Ca was estimated using ICP-mass spectrometry. The urinary Ca average was 73.58±37.13 mg/day. Urinary Ca excretion had no significant association (p>0.05) with different studied nutrients (r=-0.082, r=0.118, r=-0.025, r=0.142, r=0.084, r=0.119 for Ca, proteins, vitamin D, sodium, phosphorus and magnesium intakes respectively). The current impact evaluation of various nutritional factors on urinary Ca excretion suggests that Ca requirement may be not influenced by nutrients intake but it is highly recommended for researchers to carry out more studies and define all factors that cause Ca deficiency in Moroccan children and adolescents.
Evaluation of B∕A nonlinear parameter using an acoustic self-calibrated pulse-echo method

The objective of this work is to develop an easy-to-build and robust setup for measuring the nonlinearity parameter B∕A in fluids using ultrasound. The method is based on the pulse-echo technique, using a single element broadband acoustic transducer, and requires electrical signal measurements. Results obtained in water and denatured alcohol validate the proposed procedure. The choice of a suitable primary wave frequency is discussed with regard to the transducer sensitivity. Further, the influence of the perturbations introduced by the experimental device nonlinearities, and the role of the reflector on the measured second harmonic field amplitude are investigated.
Personality Predictive Lexical Cues and Their Correlations

In recent years, a number of studies have used linear models for personality prediction based on text. In this paper, we empirically analyze and compare the lexical signals captured in such models. We identify lexical cues for each dimension of the MBTI personality scheme in several different ways, considering different datasets, feature sets, and learning algorithms. We conduct a series of correlation analyses between the resulting MBTI data and explore their connection to other signals, such as for Big-5 traits, emotion, sentiment, age, and gender. The analysis shows intriguing correlation patterns between different personality dimensions and other traits, and also provides evidence for the robustness of the data.
Information Technology : A dominant player in the enhancement of Technical Education in India

In recent years, modern information technology has developed rapidly. The rapid development is found in computer, network and multimedia technology. The developments of these technologies are playing vital role in our day-to-day life but now the advanced technologies are increasingly important in the way of spreading knowledge. Information technology has impacted deeply to the traditional teaching concept, teaching content, teaching process and teaching resource and in technical education as well. India being a developing country with vision to become global power in 2020 finds the need of technical man-force as vital. The government is constantly striving for improvements in education system but much still remains to be done. At present scenario when there is inundation of advanced technology all over the globe we still lag behind on many fronts and this lagging is due to the lack of information and knowledge of teachers, students and the
Exploration on Aerodynamic Noise Characteristics for Control Valve of Steam Turbine

The flow within the control valve is rather complicated, which is induced by a variety of pneumatic sound sources, including turbulent mixing, turbulence and boundary layer interaction, shock wave, etc. Through presenting the aerodynamic noise generation mechanism, we introduce several classic prediction methods for control valve of steam turbine, and then give the suppression and elimination advises of the aerodynamic noise of the control valve. It mainly involves two approaches, the direct method - sound source approach method and the indirect method–the acoustic path approachment method, and it can provide important guidance to control the noise level for steam turbine control valve.
How Does Social Media Advertising Persuade? An Investigation of the Moderation Effects of Corporate Reputation, Privacy Concerns and Intrusiveness

Abstract With the growing usage of the internet and smartphones, social media platforms have become essential marketing and advertising tools in the present times. Marketing practitioners have been invariably using various social media platforms to promote their products and alter consumer attitudes and buying behavior toward their brands. However, planning a compelling and rewarding social media advertising campaign is challenging in a highly cluttered and competitive market scenario. Thus, the present study tries to predict consumer attitude and purchase intentions based on an integrated approach wherein six important antecedents have been identified from the literature: informativeness, hedonic value, interactivity, trustworthiness, perceived relevance, and emotional appeal. The study also explores the moderating role of corporate reputation, privacy concerns, and intrusiveness concerns on the association between social media advertising antecedents and consumer attitude toward social media advertisements. The results of structural equation modeling primarily supported the influences of critical social media antecedents on consumer attitude except trustworthiness. Findings also observed a considerable impact of consumer attitude toward social media advertising on buying intentions. Corporate reputation, privacy concerns, and intrusiveness concerns also play a vital role in moderating the association between some of the social media antecedents and consumer attitudes toward social media advertising. The study offers substantial theoretical and practical contributions in the social media marketing domain.
Prediction of Mining Conditions in Geotechnically Complex Sites

Geotechnical complexity in mining often leads to geotechnical uncertainty which impacts both safety and productivity. However, as mining progresses, particularly for strip mining operations, a body of knowledge is acquired which reduces this uncertainty and can potentially be used by mining engineers to improve the prediction of future mining conditions. In this paper, we describe a new method to support this approach based on modelling and neural networks. A high-level causal model of the mining operations based on historical data for a number of parameters was constructed which accounted for parameter interactions, including hydrogeological conditions, weather, and prior operations. An artificial neural network was then trained on this historical data, including production data. The network can then be used to predict future production based on presently observed mining conditions as mining proceeds and compared with the model predictions. Agreement with the predictions indicates confidence that the neural network predictions are properly supported by the newly available data. The efficacy of this approach is demonstrated using semi-synthetic data based on an actual mine.
The Control and Optimization Design of the Fish-like Underwater Robot with the Aid of the Giant Magnetostrictive Material Actuator

In this paper, the mechanism of the underwater fish-like robot, which is controlled by the giant magnetostrictive material actuator, is studied. A mechanical model of the robot is presented based on the relationship between the driving force and frequencies, which is controlled by external magnetic fields. At the same time, a new design project is given by optimizing structures and a two-tail fish-like robot is devised, in which the robot can swim directly forward and backward.
Soybean Oil Enriched with Antioxidants Extracted from Watermelon (Citrullus colocynthis) Skin Sap and Coated in Hydrogel Beads via Ionotropic Gelation

Many plants and fruits are rich in antioxidant and antimicrobial compounds, such as phenolic compounds. Watermelon is one example, as various parts of the fruit present interesting phytochemical profiles. This study demonstrates that a natural C. colocynthis (watermelon) (W) skin sap (SS) extract can effectively improve the oxidative stability of microencapsulated soybean (SB) oil. By employing a combination of alginate–xanthan gums (AXG) in a matrix hydrogel bead model with WSS extract, high encapsulation efficiency can be obtained (86%). The effects of process variables on the ultrasound-assisted extraction (UAE) of phenolic compounds from watermelon (W) skin sap (SS) using the response surface methodology (RSM), as an optimized and efficient extraction process, are compared with the effects of a conventional extraction method, namely the percolation method. The WSS extracts are obtained via UAE and RSM or the conventional percolation extraction method. The two obtained extracts and synthetic antioxidant butylated hydroxytolune (BHT) are added to SB oil separately and their antioxidant effects are tested and compared. The results show the improved oxidative stability of SB oil containing the extract obtained via the optimized method (20–30%) compared to the SB oil samples containing extract obtained via the percolation extraction method, synthetic antioxidant (BHT), and SB oil only as the control (no antioxidant added). According to existing studies, we assume that the use of WSS as an effective antioxidant will ensure the prolonged stability of encapsulated SB oil in hydrogel beads, as it is well known that extended storage under different conditions may lead to severe lipid oxidation.
ISFET sensor coupled with CMOS read-out circuit microsystem

The development of a prototype microsystem for measuring the pH, i.e. H/sup +/ ion concentration of an aqueous electrolytic solution is described which has a resolution higher than 1/20 of pH. The microsystem is composed of an ion sensitive field effect transistor (ISFET) sensor coupled with a CMOS read-out channel capable of providing a low-impedance analogue output and protection against electrostatic discharges. The silicon integrated ISFET sensor chip and the CMOS read-out chip have been fabricated, packaged and successfully tested at the IRST-Microsystem Division of Trento (Italy) using the internal microfabrication facility.
The Relationship Between Stress and Well-being: The Mediating Roles of Students’ Psychological Flexibility and Loneliness During the Coronavirus Pandemic

Coronavirus (COVID-19) has greatly impacted people‘s lives, including those of students in higher education, who have experienced drastic changes causing high levels of stress and decreased well-being. The relationship between stress and well-being can be viewed through the lens of psychological flexibility and loneliness. Individuals who experience high stress tend to be psychologically inflexible and have avoidant/maladaptive coping strategies. As a result, they are also vulnerable to loneliness, which ultimately results in decreased in well-being. In this study, of 945 student-participants, 43.28% met the criterion for high loneliness, 21.9% reported high perceived stress, 69.8% reflected high psychological inflexibility, and their mean score for well-being was 54.45. Serial mediation analysis found that psychological flexibility and loneliness partially mediate the relationship between stress and well-being. However, stress can affect well-being directly but also indirectly through psychological inflexibility and loneliness. A high level of stress, with a low level of psychological flexibility, results in a high level of loneliness; hence well-being decreases. Interventions promoting psychological flexibility can help individuals adapt and cope with difficult situations during the pandemic.
Grid-Based Cluster Head Selection Algorithm in Wireless Sensor Networks

Although low-energy adaptive clustering hierarchy (LEACH) protocol adopts distributed clustering algorithm and randomized rotation of Cluster Heads (CHs) mechanism to reduce energy consumption, election of CHs without residual energy and position information of each nodes brings about irregular distribution of CH, low network coverage and short lifecycle. In order to avoid these shortcomings, a Grid-based Cluster Head Selection (GCHS) is proposed. Referring to sensing distance, network is divided into several grids equivalent to independent clusters which can meet network coverage and connectivity. Furthermore, CH is selected ground on residual energy level of each node. Simulation taking full advantage of concept mentioned above manifests that it achieves a significant improvement in network coverage and lifecycle.
Reactor Designs and Configurations for Biological and Bioelectrochemical C1 Gas Conversion: A Review

Microbial C1 gas conversion technologies have developed into a potentially promising technology for converting waste gases (CO2, CO) into chemicals, fuels, and other materials. However, the mass transfer constraint of these poorly soluble substrates to microorganisms is an important challenge to maximize the efficiencies of the processes. These technologies have attracted significant scientific interest in recent years, and many reactor designs have been explored. Syngas fermentation and hydrogenotrophic methanation use molecular hydrogen as an electron donor. Furthermore, the sequestration of CO2 and the generation of valuable chemicals through the application of a biocathode in bioelectrochemical cells have been evaluated for their great potential to contribute to sustainability. Through a process termed microbial chain elongation, the product portfolio from C1 gas conversion may be expanded further by carefully driving microorganisms to perform acetogenesis, solventogenesis, and reverse β-oxidation. The purpose of this review is to provide an overview of the various kinds of bioreactors that are employed in these microbial C1 conversion processes.
Multifactor Model for Predicting Delays at U.S. Airports

Traffic flow management (TFM), in coordination with airline operation centers, manages the arrival and departure flow of aircraft at the nation's airports on the basis of airport arrival and departure rates for each 15-min segment throughout the day. The management of traffic flow has become so efficient in the United States that approximately 95% of delays now occur at the airports (not while airborne). Inefficiencies in traffic flow occur when nontraffic flow delays (e.g., carrier, turnaround, aircraft swapping, and local weather delays) are superimposed on the traffic flow delays. Researchers have correlated these nontraffic flow delays at airports with sets of causal factors and have created models to predict aggregate delays at airports on the time scale of a day. To be consistent with the way traffic flow is managed, a model of causal factors of delays in 15-min increments would provide the basis for improving the efficiency of TFM. The development of multifactor models for predicting airport delays in 15-min epochs at 34 operational evolution plan airports is described. The models are created by using multivariate adaptive regression splines. The models, generated by using historic individual airport data, exhibit an accuracy of 5.3 min for generated delay across all airports and 2.1 min for absorbed delay across all airports. A summary of the factors that drive the performance of each airport is provided. The implications of these results are discussed.
Debris-covered glacier systems and associated glacial lake outburst flood hazards: challenges and prospects

Glaciers respond sensitively to climate variability and change, with associated impacts on meltwater production, sea-level rise and geomorphological hazards. There is a strong societal interest in understanding the current response of all types of glacier systems to climate change and how they will continue to evolve in the context of the whole glacierized landscape. In particular, understanding the current and future behaviour of debris-covered glaciers is a ‘hot topic’ in glaciological research because of concerns for water resources and glacier-related hazards. The state of these glaciers is closely related to various hazardous geomorphological processes which are relatively poorly understood. Understanding the implications of debris-covered glacier evolution requires a systems approach. This includes the interplay of various factors such as local geomorphology, ice ablation patterns, debris characteristics and glacier lake growth and development. Such a broader, contextualized understanding is prerequisite to identifying and monitoring the geohazards and hydrologic implications associated with changes in the debris-covered glacier system under future climate scenarios. This paper presents a comprehensive review of current knowledge of the debris-covered glacier landsystem. Specifically, we review state-of-the-art field-based and the remote sensing-based methods for monitoring debris-covered glacier characteristics and lakes and their evolution under future climate change. We advocate a holistic process-based framework for assessing hazards associated with moraine-dammed glacio-terminal lakes that are a projected end-member state for many debris-covered glaciers under a warming climate.