Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying the Anticancer Properties of Bone Marrow-Derived Mesenchymal Stem Cells against Hepatocellular Carcinoma Induced by N-Nitrosodiethylamine in Male Rats

This study was initiated to emphasize the possibility that bone marrow-derived mesenchymal stem cells (BM-MSCs) could alleviate hepatocarcinogenesis in vivo. Forty rats were enrolled and distributed as follows; group 1 was set as a negative control, while all of groups 2, 3, and 4 were orally received N-nitrosodiethylamine (NDEA) for hepatocellular carcinoma induction (HCC). Group 2 was left untreated, whereas groups 3 and 4 were orally treated with BM-MSCs and doxorubicin (DOX), respectively. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and gamma-glutamyl transferase (γ-GT) activities were estimated. The study looked at serum alpha-fetoprotein (AFP), glypican-3 (GPC-3), signal transducer and activator of transcription 3 (STAT3), and suppressors of cytokine signaling 3 (SOCS3). The liver tissue sections were also examined histopathologically. Results: Serum AST, ALT, ALP, and γ-GT activity were all significantly higher in the HCC group, along with AFP, Gpc-3, and STAT3 levels associated with a significant reduction in SOCS3 level versus the negative control group. The current data indicated that BM-MSCs and DOX administration in HCC rats yielded a significant decline in serum levels of AFP, Gpc-3, and STAT3 along with significant enhancement in serum SOCS3 level. Histopathological examination revealed that treatment with BM-MSCs and DOX significantly reduced the disruption of hepatic tissue architecture caused by NDEA intoxication. Conclusion: The biochemical parameters and the structural organization of the liver were improved considerably in HCC groups treated with BM-MSCs or DOX. Finally, the current work demonstrated the anticancer activity of BM-MSCs against hepatocellular carcinoma in an experimental setting.
Biomolecules from Plant Wastes Potentially Relevant in the Management of Irritable Bowel Syndrome and Co-Occurring Symptomatology

During and following the processing of a plant’s raw material, considerable amounts are wasted, composted, or redistributed in non-alimentary sectors for further use (for example, some forms of plant waste contribute to biofuel, bioethanol, or biomass production). However, many of these forms of waste still consist of critical bioactive compounds used in the food industry or medicine. Irritable bowel syndrome (IBS) is one of the most common functional gastrointestinal disorders. The primary treatment is based on symptomatology alleviation and controlled dietary management. Thus, this review aimed to describe the possible relevance of molecules residing in plant waste that can be used to manage IBS and co-occurring symptoms. Significant evidence was found that many forms of fruit, vegetable, and medicinal plant waste could be the source of some molecules that could be used to treat or prevent stool consistency and frequency impairments and abdominal pain, these being the main IBS symptoms. While many of these molecules could be recovered from plant waste during or following primary processing, the studies suggested that enriched food could offer efficient valorization and prevent further changes in properties or stability. In this way, root, stem, straw, leaf, fruit, and vegetable pomaces were found to consist of biomolecules that could modulate intestinal permeability, pain perception, and overall gastrointestinal digestive processes.
Assessing the Relationship between Socioeconomic Status, Race, and Psychological Distress in Cancer Survivors: A Population Based Study

Psychological distress is more common in cancer survivors than the general population, and is associated with adverse outcomes. This cross-sectional study aimed to assess the relationship between socioeconomic status (SES), race and psychological distress, using data from a nationally representative sample of cancer survivors in the United States. Outcomes of interest were mild, moderate, and severe psychological distress as assessed by the Patient Health Questionnaire-4 (PHQ-4). In our univariate model, there was no statistically significant difference in the PHQ-4 scores of Caucasian and African American respondents. On the other hand, a lower SES correlated with a higher likelihood of psychological distress, and this persisted in our multivariate model. This study brings additional awareness to the negative impact of a lower socioeconomic status on mental health outcomes in cancer survivors, and further highlights the importance of the timely identification and screening of individuals at a high risk of psychological distress, in order to limit missed opportunities for relevant mental health interventions in this population.
Dual Effects of Titania Nanoparticle (TNP) Combination Treatment with a Chemodrug, Cisplatin Targeting for Nasopharyngeal Carcinoma

Standard treatment for progressive nasopharyngeal carcinoma (NPC) is chemo drug cisplatin (CDDP) as the sole treatment or adjuvant with chemoradiation. Integrating CDDP with the nanosystem has become a current research interest to enhance the effectiveness of chemo drug therapy for NPC. Nanoparticles such as titania nanoparticles (TNP) possessed higher adsorption properties into cells remarkably from the large surface area. Present work studied the combination treatment of TNP and CDDP towards nasopharyngeal carcinoma (NPC) cell lines models. The half-maximal inhibitory concentration (IC50) of CDDP and TNP were characterized on NPC cells, respectively. Further optimizations of the CDDP-TNP dual effect were studied, especially on the cytotoxic profile. The combined treatment of CDDP and TNP was more effective than a single treatment at inhibiting NPC cells by more than 60 %. On the other hand, this combined therapy had dual effects and was highly dependent on the dose of TNP exposed after 24-h exposure. This study suggested that the combination treatment of CDDP and TNP on NPC cells would improve the therapeutic outcomes even at lower concentrations of CDDP, thus could overcome the limitation of current cancer therapy in a future application.
Free Convection Flow From an Inclined Porous Plate Embedded in a Porous Medium in the Presence of Diffusion Thermo Effect, Heat Source, and Chemical Reaction

An analytical solution to the problem of magnetohydrodynamics free convection flow past an inclined porous plate considering the heat source, diffusion thermo effect, and chemical reaction is obtained. The governing equations for velocity, temperature, and concentration are evaluated using the perturbation method. The effect of relevant physical parameters like porosity parameter, heat source, magnetic parameter, radiation parameter, solutal Grashof number, thermal Grashof number, Dufour effect, chemical reaction on the velocity, temperature, concentration profiles, skin friction, mass flux, and heat flux are demonstrated and discussed graphically. It is noticed that velocity and concentration decrease under the effect of the chemical reaction.
Simulation Study of Poly-Caprolactone, Chitosan, and Vinyl Ester Resin-coated Stainless Steel to Improve Corrosion Behavior, Bioactivity, and Biodegradability

Heterogeneous materials are usually found in industrial and chemical centers, such as metallic alloy, polymer blending, porous and cracked materials, and especially composites. We exhibited expanded detailed studies on the integration of bonding between poly-caprolactone (PCL), chitosan and vinyl ester resin (VER), and stainless steel (SS) with h-BN substrates. Using h-BN dielectrics leads us towards a suitable improvement in mobility relative and increasing surface activities. Furthermore, we exhibited that the integration of h-BN with stainless steel (SS) exhibits unique advantages compared to exfoliated graphene. We offered higher resistance and anti-corrosion for stainless steel by forming these polymer layers on the surface sheet. Therefore, biopolymer strongly can be suggested as a perfect antifouling coating solution owing to its broad-spectrum antibacterial, antifungal, and anti-algal properties, along with amazing film-forming properties. Although atomic coordinates are adjusted by this work to reduce the molecular energy, conformational changes in the polymers might be considered to obtain the macromolecules pair correlation function. Gyration rays and end-to-end distance distributions of the chains have been applied to measure polymers' flexibilities quantitatively.
Cytotoxicity, Antioxidant Activity, Molecular Docking, and Dynamics Simulation Analysis Against SARS-CoV-2 M and N Protein Models of Phytoconstituents of Micromelum Minutum

Phytochemical investigations of the methanolic extract of the whole plant of Micromelum minutum provided two coumarins, namely micromelin and murrangatin, and one sterol stigmast-4-en-3-one, the latter being reported for the first time from M. minutum. To evaluate bioactivities, different fractions of the crude methanol extracts of the plant obtained by partitioning were screened for antioxidant and cytotoxic activity by DPPH radical scavenging method and the brine shrimp lethality bioassay, respectively. Among the different fractions of M. minutum tested, pet ether and chloroform soluble fractions showed prominent antioxidant activities with IC50 values of 49.46 and 67.53 μg/mL compared to the standard butylated hydroxytoluene (IC50 31.02 μg/ml). The pet ether and chloroform fractions of M. minutum showed good brine shrimp larvicidal activity with LC50 values of 1.15 and 1.50 μg/ml, respectively, compared to vincristine sulfate (LC50 0.27 μg/ml). The results obtained from molecular docking, Stigmast-4-en-3-one exerts the highest negative binding affinity (-9.1 kcal/mol) for interaction with SARS-CoV-2 M protein and develops a strong network with eleven hydrophobic bonds established by ADMET profile studies and YASARA Dynamics program.
A single nano cantilever as a reprogrammable universal logic gate

The current transistor-based computing circuits use multiple interconnected transistors to realize a single Boolean logic gate. This leads to higher power requirements and delayed computing. Transistors are not suitable for applications in harsh environments and require complicated thermal management systems due to excessive heat dissipation. Also, transistor circuits lack the ability to dynamically reconfigure their functionality in real time, which is desirable for enhanced computing capability. Further, the miniaturization of transistors to improve computational power is reaching its ultimate physical limits. As a step towards overcoming the limitations of transistor-based computing, here we demonstrate a reprogrammable universal Boolean logic gate based on a nanoelectromechanical cantilever (NC) oscillator. The fundamental XOR, AND, NOR, OR and NOT logic gates are condensed in a single NC, thereby reducing electrical interconnects between devices. The device is dynamically switchable between any logic gates at the same drive frequency without the need for any change in the circuit. It is demonstrated to operate at elevated temperatures minimizing the need for thermal management systems. It has a tunable bandwidth of 5 MHz enabling parallel and dynamically reconfigurable logic device for enhanced computing.
Inflation, Monetary Policy and Monetary Aggregates

Taxonomically speaking, the received theories of the macroeconomy may be said to comprise monetarism, structuralism, Marxism, the post-Keynesian view and the New Consensus Macroeconomics (NCM). However, in the last few decades, the mainstream view has been converging on the NCM, representing a grafting of essentially Keynesian ideas on a framework of rational expectations. Associated with this consensus has been a steady de-emphasis on the role of monetary aggregates in the framing of monetary policy. This paper is devoted to an examination of the role of monetary aggregates in each of the macroeconomic theories listed above. In particular, it contests the prevailing mainstream policy viewpoint (heavily influenced by the NCM) that monetary aggregates have no explanatory power for inflation beyond that contained in the output gap. On the contrary, the empirical fact that several monetary shocks originate on the supply side, coupled with the strong possibility of monetary shocks affecting output through relative price changes, make out a strong case for the inclusion of monetary aggregates at least as a Second Pillar of monetary policy (in the manner currently done at the European Central Bank). A monetary policy calibrated without reference to monetary aggregates is like Hamlet without the Prince of Denmark.
E-Commerce Industry Significant Factor for the Growth of Indian Economy

Equipped with smart gadgets, the population in India is spoilt for a choice. E-commerce has experienced unprecedented growth since 2014. Rapid technology adoption led by an increase in the use of smart devices and access to the internet through broadband, 3G led to an increased online customer base which helped aid this growth. The Indian government's ambitious Digital India project and the current demonetization will also affect the e-commerce sector significantly. This report attempts to showcase the current state of the e-commerce landscape in India and industry concerns, coupled with significance of e-commerce in the growth of the Indian Economy.
clinical findings of different refractive error for students studying at college of medical technology, Al-Mustaqbal University in Babylon City of Iraq from 18 to 20 years

Aim: determining the clinical results of refractive error for students of Mustaqbal University College from18 to 20 years. Introduction: Refractive error is a type of vision poor that affects about 2.3 billion persons global. Refractive error is a main reason of slight toward moderate visual loss, so determining their part can help plan a strategic health program. Methods: This study was cross-sectional and it spent only three-month showed at the Mustaqbal University Clinic from November 2021 to January 2022. We selected 215 students from different stages. Result: All participants in this study were glad to do examination. The male were 142(66%) students and the female 73 (34%). The mean age of 19.5± 1.06 (range, 17.5 – 21.5) years. VA in the right eye was 196 (91.2%) and the left eye was 181 (84.2%). The refractive error in congenital (male, female) and acquired (male , female) in this study was 21 (9.8%), 9 (4.2%), 12(5.6%), 17(7.9%),12 (5.6%), 1(0.7%) ,respectively. Only 4 male (1.9%) have diplopia. Conclusion: The spread of refractive error in College of Medical Technology was somewhat higher among students. Myopia was also the most common in this study, and males had more amblyopia than females.
A Desirability of Outcome Ranking Analysis of a Randomized Clinical Trial Comparing Seven Versus Fourteen Days of Antibiotics for Uncomplicated Gram-Negative Bloodstream Infection

Abstract Background Although a short course (7 days) of antibiotics has been demonstrated to be noninferior to a conventional course (14 days) in terms of mortality and infectious complications for patients with a Gram-negative bacterial bloodstream infection (GNB), it is unknown whether a shorter treatment duration can provide a better overall clinical outcome. Methods We applied a bloodstream infection-specific desirability of outcome ranking (DOOR) analysis to the results of a previously completed, randomized controlled trial comparing short versus conventional course antibiotic therapy for hospitalized patients with uncomplicated GNB. We determined the probability that a randomly selected participant in the short course group would have a more desirable overall outcome than a participant in the conventional duration group. We performed (1) partial credit analyses allowing for calculated and variable weighting of DOOR ranks and (2) subgroup analyses to elucidate which patients may benefit the most from short durations of therapy. Results For the 604 patients included in the original study (306 short course, 298 conventional course), the probability of having a more desirable outcome with a short course of antibiotics compared with a conventional course was 51.1% (95% confidence interval, 46.7% to 55.4%), indicating no significant difference. Partial credit analyses indicated that the DOOR results were similar across different patient preferences. Prespecified subgroup analyses using DOOR did not reveal significant differences between short and conventional courses of therapy. Conclusions Both short and conventional durations of antibiotic therapy provide comparable clinical outcomes when using DOOR to consider benefits and risks of treatment options for GNB.
Factor Analysis of Occupational Stressors among Academicians from Autonomous Colleges in Madhya Pradesh, India

Occupational stress or work stress is one of the major factors affecting employees at the workplace. It is evident from the available literature that occupational stress is present among the faculties of the higher education. It is increasing due to intense competitive pressure and new challenges in the academic environment. The objective of this paper is to identify the main factors or stressors of occupational stress among the academic faculty of higher educational institutions in India. This study was done on a sample of 400 faculty members, which was drawn randomly from different autonomous colleges of Madhya Pradesh. Exploratory factor analysis was applied for determining the stressors. The stress level was measured, and t-test was performed for data analysis. The study has confirmed five factors namely, Work-Related Stressors; Personal and professional development Stressors; Techno Stressors; Colleagues and Students Interaction Stressors and Organizational Climate Stressors. The results also revealed that major causes of occupational stress. The significant differences in stress level between Male and Female faculties and between Government and Private College faculties are also reported.
Inositols, Probiotics, and Gestational Diabetes: Clinical and Epigenetic Aspects

There is growing interest in the potential role of different stereoisomers of inositol or their combination as well as probiotics supplementation in healthy glucose metabolism during pregnancy and in promoting offspring health. The aim of this review is to clarify the effects of several inositol and probiotics-based supplements in the prevention and treatment of gestational diabetes (GDM). Moreover, we will discuss the epigenetic aspects and their short- and long-term effects in response to probiotic intervention as well as the possible implications of these findings in guiding appropriate supplementation regimens in pregnancy.
ESTIMATING THE RADIAL DISPLACEMENT ON THE TUNNEL BOUNDARY BY ROCK MASS CLASSIFICATION SYSTEMS

: RMR classification of rock masses was developed based on a great number of practical cases in tunneling by Bieniawski in 1973. RMR illustrates instructions of the design of support and stand-up time of the tunnel. In Russia, there is a rock classification for the stability of rock masses surrounding the horizontal tunnels that have been developed by VNIMI and are included in design standards (SNiP II-94-80 Underground Mine Workings). In this paper, the relation between RMR, VNIMI’s classification, and Radial Displacement (RD) was surveyed by using RS2 software (Rocscience). Geology conditions of Ialy Hydropower Plant Expansion Project, Viet Nam for D shaped circle and horseshoe tunnel is adopted as a reference case. The tunnel stability was estimated by the Radial Displacement (RD) determined at some vital points of the typical tunnel boundaries that allow predicting the stability of the tunnel after being supported.
Defect Identification and Classification of Tomato Leaf Using Convolutional Neural Network

Tomatoes are the most commonly grown crop globally, and they are used in almost every kitchen. India holds second place in the production of tomatoes. Due to the various kinds of diseases, the quantity and quality of tomato crop go down. Identifying the diseases in the earlier stage is very important and will help the farmers save the crop. The first initial step is pre-processing, for the Canny edge detection method is used for detecting the edges in the tomato leaves. The classification of tomato leaves is to be carried out by extracting the features like color, shape, and texture. Extracted features from segmented images are fed into classification. The convolutional neural network algorithm will be used, which will give a better accuracy to classify the diseases in the tomato leaves.
A New Method for Long-Term River Discharge Estimation of Small- and Medium-Scale Rivers by Using Multisource Remote Sensing and RSHS: Application and Validation

River discharge is an important hydrological parameter of river water resources. Especially in small- and medium-scale rivers, data deficiency is the biggest problem for studies of river discharge. In recent years, remote sensing has become a rapid and convenient method to estimate river discharge. However, remote sensing images still have some difficulty generating continuous long-term river discharge. To address this problem, we developed a new method coupling the remote sensing hydrology station method (RSHS) with statistical regression downscaling, using data from optical satellites (Landsat-8, Sentinel-2), radar satellites (Sentinel-1), and un-manned aerial vehicles (UAVs). We applied this method to monitor monthly river discharge for small- and medium-scale rivers from 2016 to 2020 on Yunnan-Guizhou Plateau and evaluated the accuracy of the results. The results show that (1) by applying the newly constructed method, the water body continuity index obtained by Landsat-8 increased by 7% and the average river length percentage in the channel reached 90.7%, a 40% increase; (2) there were only 10 river flow data points, on average, in the 5-year period obtained before this method was applied; after this method was applied, more than 50 river flow data points could be obtained, on average, extending the quantity of data fivefold; in addition, improper extreme values could also be avoided; (3) with better continuity of water body distribution, the images provided steadier river widths. The relative error of daily flow estimation from Landsat-8 images was reduced by 60% and the mean percentage error was reduced by one-fourth. The relative error of the multisource remote sensing composited flow was reduced by 37% with a reduction in the mean percentage error of over a half; (4) in addition, we found that when the threshold difference between water bodies and land in remote sensing images is more than 0.2, the impact of water body recognition error on flow accuracy can be ignored. This method helps to overcome the absence of remote sensing methods for the long-term estimation of flow series in small- and medium-scale rivers, improves the accuracy of remote sensing methods for calculating flow, and provides ideas for regional water resource management and utilization.
A method and tool for early design/technology search-space exploration for 3D ICs

3D integration is the big next step in system integration. It is still an emerging technology though and its implications on die and packages are not fully understood yet. Furthermore, it comes in many different process flavors. Adoption by mainstream designers requires the availability of tools that let them evaluate the cost and benefits of 3D compared to conventional system implementations. In this paper we propose a software-supported framework for system prototyping on 3D ICs. Also, we provide a case study scenario for realizing and evaluating a system implementing MPEG4 encoding on a 3D IC. The results show that 3D integration provides significant improvements among others in delay, power/energy consumption, as well as die area, compared to conventional 2D implementations.