Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated System Pharmacology Approaches to Elucidate Multi-Target Mechanism of Solanum surattense against Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumors with high mortality. Chronic hepatitis B and C viruses, aflatoxins, and alcohol are among the most common causes of hepatocellular carcinoma. The limited reported data and multiple spectra of pathophysiological mechanisms of HCC make it a challenging task and a serious economic burden in health care management. Solanum surattense (S. surattense) is the herbal plant used in many regions of Asia to treat many disorders including various types of cancer. Previous in vitro studies revealed the medicinal importance of S. surattense against hepatocellular carcinoma. However, the exact molecular mechanism of S. surattense against HCC still remains unclear. In vitro and in silico experiments were performed to find the molecular mechanism of S. surattense against HCC. In this study, the network pharmacology approach was used, through which multi-targeted mechanisms of S. surattense were explored against HCC. Active ingredients and potential targets of S. surattense found in HCC were figured out. Furthermore, the molecular docking technique was employed for the validation of the successful activity of bioactive constituents against potential genes of HCC. The present study investigated the active “constituent–target–pathway” networks and determined the tumor necrosis factor (TNF), epidermal growth factor receptor (EGFR), mammalian target of rapamycin (mTOR), Bcl-2-like protein 1(BCL2L1), estrogen receptor (ER), GTPase HRas, hypoxia-inducible factor 1-alpha (HIF1-α), Harvey Rat sarcoma virus, also known as transforming protein p21 (HRAS), and AKT Serine/Threonine Kinase 1 (AKT1), and found that the genes were influenced by active ingredients of S. surattense. In vitro analysis was also performed to check the anti-cancerous activity of S. surattense on human liver cells. The result showed that S. surattense appeared to act on HCC via modulating different molecular functions, many biological processes, and potential targets implicated in 11 different pathways. Furthermore, molecular docking was employed to validate the successful activity of the active compounds against potential targets. The results showed that quercetin was successfully docked to inhibit the potential targets of HCC. This study indicates that active constituents of S. surattense and their therapeutic targets are responsible for their pharmacological activities and possible molecular mechanisms for treating HCC. Lastly, it is concluded that active compounds of S. surattense act on potential genes along with their influencing pathways to give a network analysis in system pharmacology, which has a vital role in the development and utilization of drugs. The current study lays a framework for further experimental research and widens the clinical usage of S. surattense.
What Approaches to Thwart Bacterial Efflux Pumps-Mediated Resistance?

An effective response that combines prevention and treatment is still the most anticipated solution to the increasing incidence of antimicrobial resistance (AMR). As the phenomenon continues to evolve, AMR is driving an escalation of hard-to-treat infections and mortality rates. Over the years, bacteria have devised a variety of survival tactics to outwit the antibiotic’s effects, yet given their great adaptability, unexpected mechanisms are still to be discovered. Over-expression of efflux pumps (EPs) constitutes the leading strategy of bacterial resistance, and it is also a primary driver in the establishment of multidrug resistance (MDR). Extensive efforts are being made to develop antibiotic resistance breakers (ARBs) with the ultimate goal of re-sensitizing bacteria to medications to which they have become unresponsive. EP inhibitors (EPIs) appear to be the principal group of ARBs used to impair the efflux system machinery. Due to the high toxicity of synthetic EPIs, there is a growing interest in natural, safe, and innocuous ones, whereby plant extracts emerge to be excellent candidates. Besides EPIs, further alternatives are being explored including the development of nanoparticle carriers, biologics, and phage therapy, among others. What roles do EPs play in the occurrence of MDR? What weapons do we have to thwart EP-mediated resistance? What are the obstacles to their development? These are some of the core questions addressed in the present review.
Novel Wet Electrospinning Inside a Reactive Pre-Ceramic Gel to Yield Advanced Nanofiber-Reinforced Geopolymer Composites

Electrospinning is a versatile approach to generate nanofibers in situ. Yet, recently, wet electrospinning has been introduced as a more efficient way to deposit isolated fibers inside bulk materials. In wet electrospinning, a liquid bath is adopted, instead of a solid collector, for fiber collection. However, despite several studies focused on wet electrospinning to yield polymer composites, few studies have investigated wet electrospinning to yield ceramic composites. In this paper, we propose a novel in-situ fabrication approach for nanofiber-reinforced ceramic composites based on an enhanced wet-electrospinning method. Our method uses electrospinning to draw polymer nanofibers directly into a reactive pre-ceramic gel, which is later activated to yield advanced nanofiber-reinforced ceramic composites. We demonstrate our method by investigating wet electrospun Polyacrylonitrile and Poly(ethylene oxide) fiber-reinforced geopolymer composites, with fiber weight fractions in the range 0.1–1.0 wt%. Wet electrospinning preserves the amorphous structure of geopolymer while changing the molecular arrangement. Wet electrospinning leads to an increase in both the fraction of mesopores and the overall porosity of geopolymer composites. The indentation modulus is in the range 6.76–8.90 GPa and the fracture toughness is in the range 0.49–0.76 MPam with a clear stiffening and toughening effect observed for Poly(ethylene oxide)-reinforced geopolymer composites. This work demonstrates the viability of wet electrospinning to fabricate multifunctional nanofiber-reinforced composites.
Prophylactic use of antibiotics in dentistry

| 16 | the indications for the use of antimicrobials in dentistry are (i) treatment of acute infection and (ii) prophylaxis against infection (single-dose prophylaxis and perioperative prophylaxis). antibiotic prophylaxis refers to the administration of antimicrobials in situations where there is no actual infection, but where the risk of infection is substantial, for example, in the case of invasive procedures at contaminated sites. the aim of antibiotic prophylaxis is to prevent the development of either systemic or local infection complications. Severe underlying diseases including immunosuppressive illnesses and their treatment have been shown to predispose the patient to systemic odontogenic infections. Manipulation of infected oral tissues, such as measurement of periodontal pockets, calculus removal and tooth extraction, in particular, is known to cause bacteraemia. therefore, antibiotic prophylaxis is used in connection with invasive procedures in infected areas in patients at elevated risk for endocarditis or other systemic infection complications. In addition, preoperative single-dose prophylaxis is also appropriate in generally healthy patients when treating infection foci surgically and if antimicrobial treatment is needed. amoxicillin is the first-line drug of choice, due to its appropriate antimicrobial spectrum and especially its excellent absorption. Antibiotic prophylaxis can prevent the development of either systemic or local infectious complications AbstrAct Prophylactic use of antibiotics in dentistry
Rotavirus Infection in Swine: Genotypic Diversity, Immune Responses, and Role of Gut Microbiome in Rotavirus Immunity

Rotaviruses (RVs) are endemic in swine populations, and all swine herds certainly have a history of RV infection and circulation. Rotavirus A (RVA) and C (RVC) are the most common among all RV species reported in swine. RVA was considered most prevalent and pathogenic in swine; however, RVC has been emerging as a significant cause of enteritis in newborn piglets. RV eradication from swine herds is not practically achievable, hence producers’ mainly focus on minimizing the production impact of RV infections by reducing mortality and diarrhea. Since no intra-uterine passage of immunoglobulins occur in swine during gestation, newborn piglets are highly susceptible to RV infection at birth. Boosting lactogenic immunity in gilts by using vaccines and natural planned exposure (NPE) is currently the only way to prevent RV infections in piglets. RVs are highly diverse and multiple RV species have been reported from swine, which also contributes to the difficulties in preventing RV diarrhea in swine herds. Human RV-gut microbiome studies support a link between microbiome composition and oral RV immunogenicity. Such information is completely lacking for RVs in swine. It is not known how RV infection affects the functionality or structure of gut microbiome in swine. In this review, we provide a detailed overview of genotypic diversity of swine RVs, host-ranges, innate and adaptive immune responses to RVs, homotypic and heterotypic immunity to RVs, current methods used for RV management in swine herds, role of maternal immunity in piglet protection, and prospects of investigating swine gut microbiota in providing immunity against rotaviruses.
Delayed Diagnosis of Congenital Combined Pituitary Hormone Deficiency including Severe Growth Hormone Deficiency in Children with Persistent Neonatal Hypoglycemia—Case Reports and Review

Apart from stimulation of human growth and cell proliferation, growth hormone (GH) has pleiotropic metabolic effects in all periods of life. Severe GH deficiency is a common component of combined pituitary hormone deficiency (CPHD). CPHD may be caused by mutations in the genes encoding transcription factors and signaling molecules involved in normal pituitary development; however, often its genetic cause remains unknown. Symptoms depend on which hormone is deficient. The first symptom of GH or adrenocorticotropic hormone (ACTH) deficiency may be persistent hypoglycemia in apparently healthy newborns, which is often neglected. Diagnosing CPHD is based on decreased concentrations of hormones secreted by the anterior pituitary and peripheral endocrine glands. Findings in magnetic resonance imaging vary widely, including anterior pituitary hypoplasia/aplasia or pituitary stalk interruption syndrome (PSIS). Delayed diagnosis and treatment can be life-threatening. GH therapy is necessary to recover hypoglycemia and to improve auxological and psychomotor development. We present two girls, diagnosed and treated in our departments, in whom the diagnosis of CPHD was delayed, despite persistent neonatal hypoglycemia; and a review of similar cases, with attention paid to progress in the genetic assessments of such patients, since the introduction of whole exome sequencing that is especially important for PSIS.
Classificazioni delle superfici coltivate a pioppo mediante immagini satellitari ad elevata risoluzione spaziale

Abstract: This work concerns the classification of different crown cover classes of Poplar stands, using high spatial resolution images (Ikonos and Quickbird satellites), in order to provide poplar monitoring. The test sites are two agricultural areas, located in the alluvial plain of northern Italy, close to Alessandria. In order to enhance spectral differences among classes, textural and high-pass filters were applied and vegetation indices (ratio, difference and normalized difference) were processed. Images were then classified by means of an object-oriented approach which include a segmentation process followed by the application of a Standard Nearest Neighbor classifier on different data sets of spectral images (mean and standard deviation images) and shape indices (shape, compactness). The data sets were defined using the Feature Space Optimization tool available in the Definiens®Developer7 software. From a set of attributes, this tool selects the best combination that produces the largest separability among the classes. The shape of the polygons matched the agricultural plots and the classification results were compared with the reference map defined by means of aerial photo interpretation and ground surveys. New poplar classes were defined in order to improve classification results. The accuracy values obtained were satisfactory (close to 73% for Ikonos and 82% for Quickbird images) and they constitute a basis for automated recognition of poplar plantations and for updating poplar stands assessments.
Traveling Wave Solutions of Parabolic Systems

Part I. Stationary waves: Scalar equation Leray-Schauder degree Existence of waves Structure of the spectrum Stability and approach to a wave Part II. Bifurcation of waves: Bifurcation of nonstationary modes of wave propagation Mathematical proofs Part III. Waves in chemical kinetics and combustion: Waves in chemical kinetics Combustion waves with complex kinetics Estimates and asymptotics of the speed of combustion waves Asymptotic and approximate analytical methods in combustion problems (supplement) Bibliography.
Analytical torque calculations for magnetic bearings and vibration isolation

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
TABLES FOR THE STUDENTIZED LARGEST CHI-SQUARE DISTRIBUTION AND THEIR APPLICATIONS,

Abstract : Let x sub 1,. ,x sub K be K independently distributed chi-square variates with n degrees of freedom and let x sub 0 be another chi-square variate with m degrees of freedom distributed independently of the other x sub i's. Then, the distribution of u = mxmax/nx sub 0 where xmax = max (x sub 1,.,x sub K), is known to be the studentized largest chi-square distribution. In this report, two methods are proposed to evaluate the probability integral of u. Using one of these methods, upper 10%, 5%, 2.5% and 1% points of the distribution of u are tabulated for K = 1(1)12, n = 1(1)19 and for different values of m. Various applications of these tables are also discussed. (Author)
Machine Learning Model Generation With Copula-Based Synthetic Dataset for Local Differentially Private Numerical Data

With the development of IoT technology, personal data are being collected in many places. These data can be used to create new services, but consideration must be given to the individual’s privacy. We can safely collect personal data while adding noise by applying differential privacy. However, because such data are very noisy, the accuracy of machine learning trained by the data greatly decreased. In this study, our objective is to build a highly accurate machine learning model using these data. We focus on the decision tree machine learning algorithm, and, instead of applying it as is, we use a preprocessing technique wherein pseudodata are generated using a copula while removing the effect of noise added by differential privacy. In detail, the proposed novel protocol consists of three steps: generating a covariance matrix from the differentially private numerical data, generating a discrete cumulative distribution function from differentially private numerical data, and generating copula-based numerical samples. Simulation results using synthetic and real datasets verify the utility of the proposed method not only for the decision tree algorithm but also for other machine learning algorithms such as deep neural networks. This method will help create machine learning models, such as recommendation systems, using differential privacy data.
Neural Machine Translation Transfer Model Based on Mutual Domain Guidance

The neural machine translation (NMT) model is a data hungry and domain-sensitive model but it is almost impossible to obtain a large number of labeled data for training it. This requires the use of domain transfer strategy. In order to solve the problem of domain data mismatch, this paper proposes a neural machine translation transfer model based on domain mutual guidance and establishes the continuous impact through the framework of mutual guidance. At the same time, self-ensemble and self-knowledge-distillation are used in these independent domains so that the model will not deviate from the domain too much. Furthermore, the model can better train the models from the batching way of domain data. It mainly uses the pretraining model out of domain, distillation of existing models in domain and data selection in the training process to guide the in-domain model. These are unified in the training framework, so that model training can be continuously and effectively guided in and out of domain. In this study, three typical experiment scenarios were comprehensive tested and our model was compared with many conventional classic methods. The experiment results showed that our proposed “inter-domain transfer training” and “curriculum scheduling agent” was effective and robust. The most important results and findings are that this comprehensive guided training framework (intra-domain and inter-domain) is suitable for the domain transfer in different scenarios, and this framework doesn’t increase the decoding cost.
Antibiotic resistance profile and virulence factor genes of Aeromonas sobria isolated from AL-Hillah River in Babel (Iraq)

Although Aeromonas are common in aquatic habitats and have been marked as an arising risk to human health, some information dealing with antibiotic resistance profiles and virulence factor genes involved in pathogenicity are understood. The objective of this study was to evaluate the resistance profile for aquatic A. sobria and to identify the virulence factor genes. Aeromonas sobria isolates were collected from AL-Hillah River in Babel near the hospital swage water from January until May 2021. VITEK 2 system was used to diagnose isolates of the anaerobic G-ve A. Sobria bacteria, which were then confirmed by PCR for 16S RNA. Eight different groups of antibiotics were examined in A. sobria isolates using the disk diffusion method on a Mueller-Hinton agar. Genes encoding for virulence factor genes (act, ast, ela, alt, lip, asa, hly, and aer) were detected using conventional PCR. The isolates showed resistance to β-lactam drugs, while they were susceptible to ciprofloxacin, erythromycin, tetracycline, clindamycin and presented susceptibility to the gentamycin at rate 57%. Gel electrophoresis results of PCR products variably displayed clear bands for virulence factor genes (act, ast, ela, alt, lip, and asa), previously reported to be associated with some diseases. This is the first study in provinces of middle Iraqi dealing with aquatic A. sobria that evaluated the antibiotic sensitivity and investigated the virulence factor genes, including cytotoxic enterotoxins and enzymes. Virulence factor genes detection and 16S RNA gene for species identification were achieved by designing specific primers in the present study.
The Role of Hypomagnesemia in Cardiac Arrhythmias: A Clinical Perspective

The importance of magnesium (Mg2+), a micronutrient implicated in maintaining and establishing a normal heart rhythm, is still controversial. It is known that magnesium is the cofactor of 600 and the activator of another 200 enzymatic reactions in the human organism. Hypomagnesemia can be linked to many factors, causing disturbances in energy metabolism, ion channel exchanges, action potential alteration and myocardial cell instability, all mostly leading to ventricular arrhythmia. This review article focuses on identifying evidence-based implications of Mg2+ in cardiac arrhythmias. The main identified benefits of magnesemia correction are linked to controlling ventricular response in atrial fibrillation, decreasing the recurrence of ventricular ectopies and stopping episodes of the particular form of ventricular arrhythmia called torsade de pointes. Magnesium has also been described to have beneficial effects on the incidence of polymorphic ventricular tachycardia and supraventricular tachycardia. The implication of hypomagnesemia in the genesis of atrial fibrillation is well established; however, even if magnesium supplementation for rhythm control, cardioversion facility or cardioversion success/recurrence of AF after cardiac surgery and rate control during AF showed some benefit, it remains controversial. Although small randomised clinical trials showed a reduction in mortality when magnesium was administered to patients with acute myocardial infarction, the large randomised clinical trials failed to show any benefit of the administration of intravenous magnesium over placebo.
Cutaneous Manifestations of Nutritional Deficiencies in the Context of Food Deserts of United States

Food deserts exist due to a multitude of factors ranging from socioeconomic status, racial disparities, geography, cost, and healthful food access. Given the vast biological function of vitamins and minerals, the clinical presentation for nutritional deficiencies ranges from benign to life-threatening. Often, the first indicators of underlying nutritional deficiencies are cutaneous manifestations. The first patient case is a 36-year-old female at 25 weeks gestation with a pruritic and painful rash that began in the genital region and spread centrifugally to her legs. The second patient case is a 42-year-old male with a pruritic rash that began at his abdomen and progressed to his thighs. The third patient case is a 48-year-old female with scattered lower extremity ecchymoses in different healing stages and scattered perifollicular erythema with corkscrew hairs. All three patients were found to have nutritional deficiencies and lived in identified food deserts. Deficiencies of zinc, vitamin A, thiamine, pyridoxine, and vitamin C and their subsequent cutaneous manifestations have scarce documentation within food deserts. These cases provide further insight into nutritional deficiencies and offer an opportunity for providers to identify patients at risk. To promote wellness, patients suffering from food insecurity must be identified efficiently and connected with essential resources.
Formation and Cosmic Evolution of Elliptical Galaxies

A review of the present observational and theoretical status of elliptical galaxies is presented with the aim to clarify whether the monolithic or the hierarchical, is a more viable scenario for the origin of these structures. We describe the dynamical structure of elliptical galaxies using photometric and spectroscopic data, in particular 3D observations from integral field spectrographs, with emphasis on properties such as brightness distribution, velocity profiles, central structures like "cuspy" profiles and "cores", as well as central supermassive black holes. We also report on the main relations between these quantities like the fundamental plane and colour-luminosity diagram. We present observational evidences for the presence of dark matter in the elliptical galaxies and examine the theories of galaxy formation within the framework of a cold dark matter cosmological model. We discuss the formation of large-scale structure, Press-Schechter theory and universal density profile of dark matter halos. Subsequently, gas dynamics, star formation, feedback, angular momentum, morphology and the epoch of galaxy formation are studied and comparison between disks and spheroids are made. Valuable insights into the formation epoch of elliptical galaxies are provided by deriving the mean metallicities and ages at different redshifts through the study of different population synthesis models (single-burst and evolutionary models) in particular the magnesium to iron ratio.