Homogeneous Type Research Articles

Identification of common factors among fibrosarcoma, rhabdomyosarcoma, and osteosarcoma by network analysis

Sarcoma cancers are uncommon malignant tumors, and there are many subgroups, including fibrosarcoma (FS), which mainly affects middle-aged and older adults in deep soft tissues. Rhabdomyosarcoma (RMS), on the other hand, is the most common soft-tissue sarcoma in children and is located in the head and neck area. Osteosarcomas (OS) is the predominant form of primary bone cancer among young adults, primarily resulting from sporadically random mutations. This frequently results in the dissemination of cancer cells to the lungs, commonly known as metastasis. Mesodermal cells are the origin of sarcoma cancers. In this study, a rather radical approach has been applied. Instead of comparing homogenous cancer types, we focus on three main subtypes of sarcoma: fibrosarcoma, rhabdomyosarcoma, and osteosarcoma, and compare their gene expression with normal cell groups to identify the differentially expressed genes (DEGs). Next, by applying protein-protein interaction (PPI) network analysis, we determine the hub genes and crucial factors, such as transcription factors (TFs), affected by these types of cancer. Our findings indicate a modification in a range of pathways associated with cell cycle, extracellular matrix, and DNA repair in these three malignancies.Results showed that fibrosarcoma (FS), rhabdomyosarcoma (RMS), and osteosarcoma (OS) had 653, 1270, and 2823 differentially expressed genes (DEGs), respectively. Interestingly, there were 24 DEGs common to all three types. Network analysis showed that the fibrosarcoma network had two sub-networks identified in FS that contributed to the catabolic process of collagen via the G-protein coupled receptor signaling pathway. The rhabdomyosarcoma network included nine sub-networks associated with cell division, extracellular matrix organization, mRNA splicing via spliceosome, and others. The osteosarcoma network has 13 sub-networks, including mRNA splicing, sister chromatid cohesion, DNA repair, etc. In conclusion, the common DEGs identified in this study have been shown to play significant and multiple roles in various other cancers based on the literature review, indicating their significance.

On (Strongly) (Θ-)Discrete Homogeneous Spaces

ABSTRACT We introduce the classes of (strongly) Θ-discrete homogeneous spaces. We discuss the relationships of these classes to other classes of spaces possessing homogeneity-related properties, such as (strongly) n-homogeneous spaces. Many examples are given distinguishing discrete homogeneity and other types of homogeneity.

A Deep Stacked Ensemble Model for Microarray Data Classification with Boosted Meta Classifier

Classification of microarray data is one of the major research interests in the biomedical field. It allows physicians for early detection of cancer through analysis of the Deoxyribonucleic acid (DNA). Classification of these sensitive data is still challenging due to the small sample and more feature size. In this paper, the authors have used an ensemble model for classifying two types of leukemia as Acute lymphocytic leukemia (ALL) and Acute myelocytic leukemia (AML). The work is carried out with other types of genetic data such as Leukemia, lung tumor, liver cancer, and liver Cirrhosis. The biomedical data are imbalanced. The ensemble classifier is based on a stacked approach where deep neural network (DNN) classifiers are used as the base classifier. The structure of each DNN is chosen as the homogenous type for the same training process for all classifiers. Because of the adaptive nature and random weight initialization, it provides different results for each classifier. The outputs of the base classifiers are again fed to a gradient boosting ensemble model termed a meta classifier. The meta classifier provides the final classification output. For comparison purposes, two types of meta-classifiers such as support vector machine (SVM) and ensemble gradient boosting are used in the proposed work. The performance of the model is verified well and the results are provided in the result section. From the experimental result, it is observed that the classification accuracy is 96% with SVM and 98% with boosted meta classifier for leukemia data, whereas 99.04% for lung tumor and 99.03% for liver Cirrhosis.

Antioxidant Face Cream Formulation of Ethanol Extract from Soursop leaves (Annona muricata L)

Face cream is a treatment cream used to treat facial skin. One of the natural plant ingredients that can be used as an active substance in cream preparations is soursop leaves (Annona muricata L.) which have antioxidant activity. The purpose of this study was to formulate cream preparations from soursop leaf ethanol extract as well as the antioxidant activity of face cream preparations. Soursop leaves were extracted by maceration using a 96% ethanol solvent. Cream preparations in physical quality evaluation include organoleptic, pH, homogeneity, viscosity, spread power, sticking power, centrifugation, determination of emulsion type, and antioxidant activity test with DPPH method at 𝜆 511,5 nm using UV-Vis spectrophotometry. The results that organoleptic cream preparations had color differences. The pH of FI, FII, and FIII creams had an average yield of 6,0-6,6 and were homogeneous. All creams had a viscosity value of 49950 cPs and scatter power at 5,2-5,7 cm. FI, FII, and FIII creams fixed power test with an average value of 26,5-46,5 and physically stable at centrifugation tests with cream emulsion type of O/W. Based on the antioxidant activity, the facial creams of ethanol extract from soursop leaves of FI (3%), FII (5%), and FIII (7%) had IC50 values of 80,64, 46,06, and 10,91 ppm respectively. So this study concluded that the facial cream of ethanol extract from soursop leaves at FI, FII, and FIII meet the physical stability requirements based on organoleptic, pH, homogeneity, viscosity, scatter power, clinging power, centrifugation, and emulsion type tests. FI cream had strong antioxidant activity (IC50 value of 80,64 ppm), then FII and FIII had very strong antioxidant activity (IC50 value of 46,06 and 10,91 ppm. Keywords: Cream, Formulation, Antioxidant, Ethanol extract, Soursop leaves

Quencher-free fluorescent assays by controlled DNA partitioning in the aqueous two-phase system with crowding-enhanced kinetics

Fluorescent DNA assays are promising in disease diagnosis, environmental monitoring, and drug screening, encompassing both heterogeneous and homogeneous assay types. Nevertheless, heterogeneous assays suffer from tedious washing steps and slow reaction kinetics, whereas homogenous assays require well-designed fluorophore pairs to modulate signal off/on. Herein, we developed a cost-effective and efficient quencher-free fluorescent DNA assay using an aqueous two-phase system (ATPS). Using a strand-displacement reaction, we showed that similar sensing performance could be achieved at a much lower cost. Furthermore, the unique crowding environment in ATPS accelerated strand-displacement reactions by up to six-fold and reduced DNA amplification time from 120 min to 30 min. Our assay demonstrated robust sensing in serum environments and successful detection of miRNA extracted from cells. This innovative assay format has the potential for biosensor development with both heterogeneous readout and rapid reaction kinetics in various applications.

COVID-19 in the neighbourhood: the socio-spatial selectivity of severe COVID-19 cases in Sweden, March 2020–June 2021

AbstractIn this paper we analyse spatial and temporal variation in the risk of intensive care unit (ICU) admission for COVID-19 in Sweden. The analysis is based on geocoded and time-stamped data from the Swedish Intensive Care Registry (SIR). We merge this data with a classification of Swedish neighbourhood cluster types constructed from multi-scalar measures of socio-economic and country of birth segregation (Kawalerowicz and Malmberg in Multiscalar typology of residential areas in Sweden, 2021 available from https://doi.org/10.17045/sthlmuni.14753826.v1). We examine 1) if residence in more socio-economically deprived or diverse neighbourhood cluster types was associated with a higher risk of ICU admission for COVID-19, 2) if residence in more affluent neighbourhoods was associated with a lower risk of ICU admission for COVID-19, and 3) how these patterns changed over time during the three first waves of the pandemic. While the highest overall risk was associated with residence in urban disadvantage coupled with diversity, models where neighbourhood cluster types were interacted with waves reveal that the highest risk was associated with living in a neighbourhood cluster type characterised by rural town disadvantage coupled with diversity under the 3rd wave (February 2021–June 2021). Residence in such a neighbourhood cluster type was associated with a four times higher risk of ICU admission, compared to the reference category of living in a homogeneous rural neighbourhood cluster type with average levels of deprivation under wave 1. Looking at disparities within each wave we found that residence in most affluent urban areas was at first associated with a slightly higher risk of ICU admission for COVID-19 as compared with the reference category of living in a homogeneous rural neighbourhood cluster type, but under waves 2 and 3 this risk was no longer statistically significant. The largest inequalities between different neighbourhood cluster types could be seen during the 1st wave. Over time, the risks converged between different neighbourhood cluster types.

Computed tomography imaging phenotypes of hepatoblastoma identified from radiomics signatures are associated with the efficacy of neoadjuvant chemotherapy

BackgroundThough neoadjuvant chemotherapy has been widely used in the treatment of hepatoblastoma, there still lacks an effective way to predict its effect.ObjectiveTo characterize hepatoblastoma based on radiomics image features and identify radiomics-based lesion phenotypes by unsupervised machine learning, intended to build a classifier to predict the response to neoadjuvant chemotherapy.Materials and methodsIn this retrospective study, we segmented the arterial phase images of 137 cases of pediatric hepatoblastoma and extracted the radiomics features using PyRadiomics. Then unsupervised k-means clustering was applied to cluster the tumors, whose result was verified by t-distributed stochastic neighbor embedding (t-SNE). The least absolute shrinkage and selection operator (LASSO) regression was used for feature selection, and the clusters were visually analyzed by radiologists. The correlations between the clusters, clinical and pathological parameters, and qualitative radiological features were analyzed.ResultsHepatoblastoma was clustered into three phenotypes (homogenous type, heterogenous type, and nodulated type) based on radiomics features. The clustering results had a high correlation with response to neoadjuvant chemotherapy (P=0.02). The epithelial ratio and cystic components in radiological features were also associated with the clusters (P=0.029 and 0.008, respectively).ConclusionsThis radiomics-based cluster system may have the potential to facilitate the precise treatment of hepatoblastoma. In addition, this study further demonstrated the feasibility of using unsupervised machine learning in a disease without a proper imaging classification system.Graphical abstract

Formulation of Seaweed (Eucheuma cottonii Doty) Lotion

Seaweed (Eucheuma cottonii Doty) has potential as an antioxidant because it contains kappa-carrageenan which can counteract free radicals. Formulation of seaweed (Eucheuma cottonii Doty) into lotion preparations can minimize the negative effects of sun exposure, because it can reflect solar radiation or work as a physical sunscreen. To give the maximum effect, particle size reduction is carried out, so that the smaller the particle size of the seaweed powder, the surface area increases. This study aims to determine the formulation and evaluate the preparation of lotion from seaweed powder. This research was conducted using an experimental method. The lotion was made with three variations of seaweed powder concentration (Eucheuma cottonii Doty), namely 2.5%, 3% and 5%. Tests were carried out before and after accelerated conditions at 5oC and 35oC for 12 hours each for 12 cycles with test parameters including organoleptic, homogeneity, pH, spreadability, viscosity and flow type. The results obtained in the organoleptic test showed no change in the three formulas both before and after the accelerated condition. The pH test showed that Formula 2 and Formula 3 still showed that the preparation remained in the skin pH range for sunscreen. In the homogeneity test, all preparations were homogeneous, as well as the spreadability test met the test requirements criteria. Based on the tests carried out, it can be concluded that formulas 2 and 3 have optimum stability.

Mixed weak‐type inequalities in Euclidean spaces and in spaces of the homogeneous type

AbstractIn this paper, we provide mixed weak‐type inequalities generalizing previous results in an earlier work by Caldarelli and the second author and also in the spirit of earlier results by Lorente et al. One of the main novelties is that, besides obtaining estimates in the Euclidean setting, results are provided as well in spaces of the homogeneous type, being the first mixed weak‐type estimates that we are aware of in that setting.

Acute psychosis as the presenting manifestation of lupus: case reports

Introduction: Systemic lupus erythematosus (SLE) is an autoimmune disorder that affects multiple organs with a wide range of clinical manifestations. Neuropsychiatric manifestation (NPSLE) is present among 28–40% of the SLE patients. Psychosis is rarely the only initial symptom of lupus, as neuropsychiatric lupus is often associated with systemic activity. We present two cases of young ladies presenting with acute psychosis as the predominant symptom and further diagnosed with SLE disease. Case reports: Case 1 A 20-year-old female, unmarried, presented to the Psychology Department with acute behavioral abnormality associated with staring, insomnia and, aggressive behavior, hearing voices for the last 3 days. No other psychiatric or neurological symptoms; she was taking 20 mg oral prednisolone prescribed according to a history of fatigue, low-grade fever, loss of appetite, pain in almost all joints, and myalgia for the last 1 month. There was no sign of focal neurological deficit or meningeal irritation. Examination of other systems did not find any clinical abnormality except for the presence of photosensitivity. A psychiatric consultation was ordered. Laboratory tests: white blood cells 3200 cell/mm3 (range=4000–11 000) with normal differentiation, hemoglobin 9.2 mg/dl (range=12.5–16), platelet 90 000/dl (range=150 000–400 000), C-reactive protein (CRP) 65 mg/l (n≤6), and erythrocyte sedimentation rate (ESR) 100 mm/h(range=0–20). anti-nuclear antibody (ANA) profile which was positive in 1:320 dilution, homogenous type, along with anti-ds-DNA positive (+), decreased C3 and C4. The diagnosis of SLE was done according to the European League Against Rheumatism/American College of Rheumatology Classification Criteria (EULAR/ACR Criteria). Case2 A 37-year-old married female with 3 children presented to the Psychology Department with disorientation, staring, hearing voices, seeing images of people who want to hurt her, refusing to respond to people, and insomnia for the last 10 days. She had complained of fatigue and low-grade fever for last month. A psychiatric consultation was ordered, and the patient was managed with an injection of haloperidol 5 mg BD. Laboratory tests: white blood cells 7300 cells/mm3 (range=4000–11 000) with normal differentiation, hemoglobin 8.7 mg/dl (range=12.5–16), platelet 90 000/dl (range=150 000–400 000), reticulocyte:1.4, CRP 7 mg/l (n≤6), and ESR 50mm/h (range=0–20). The ANA profile was positive in 1:320 dilution, homogenous type, along with the anti-ds-DNA negative (−), decreased C3, and normal C4. Brain magnetic resonance imaging (MRI) showed a high white matter signal around the lateral ventricles and in the semi-oval centers. Mild dilation of the lateral ventricles and slight elevation of the left insular and medial temporal lobe signal. Conclusion: Our case reports showed that organic disorders should be considered while evaluating acute psychosis, especially autoimmune disorders. The presence of laboratory features like anemia, elevated ESR, and elevated CRP should be taken with utmost importance.

The Tb theorem for some inhomogeneous Besov and Triebel-Lizorkin spaces over space of homogeneous type

In this paper, the authors give some new characterizations of the inhomogeneous Besov spaces and inhomogeneous Triebel-Lizorkin spaces respectively over space of homogeneous type, and establish the Tb theorems for the boundedness of the Calderón-Zygmund singular integral operator with non-convolution kernel on these new inhomogeneous Besov and Triebel-Lizorkin spaces.

Global existence of large solutions for the parabolic–elliptic Keller–Segel system in Besov type spaces

In this paper, we investigate global existence of large solutions for the parabolic–elliptic Keller–Segel system in the homogeneous Besov type spaces. A class of initial data was presented, generating a global smooth solution although the Ḃ∞,∞−2-norm of the initial data may be chosen arbitrarily large.

In-depth study of factors affecting the formation of MCM-41-type mesoporous silica nanoparticles

Mesoporous silica nanoparticles (MSN), especially MCM-41 type, have been broadly studied and used in different applications such as catalysis, nanomedicine and environmental science. One of the most advantageous properties of these materials is their easy and tunable synthesis. Nevertheless, in spite of the efforts made by researchers in the last decades, there is still no complete understanding of the mechanism and factors affecting the formation of MCM-41 type MSN, and some parameters are disregarded in the reported synthesis protocols. Considering that the fine-tuning of the parameters affecting nanoparticle synthesis is the basis for obtaining well-defined nanodevices with advanced complex functionalities, an in-depth study of the factors affecting the formation of MCM-41 type MSN is carried out in this work. We analyzed the first stages of MSN formation, namely the silica-surfactant templating and nanoparticle nucleation and growth, and found that hydrolysis and condensation rates play a central role in nanoparticle formation. Furthermore, we found that some disregarded parameters in the MCM-41 type synthesis, such as the stirring strength or the surfactant addition rate, modulate nucleation and growth, influencing the hydrolysis and condensation rates. Finally, we studied the aging and the evolution of the MSN by analyzing the consolidation of the silica framework over time. Therefore, we further elucidate some points about the mechanism and factors affecting the formation of mesoporous silica, which brings us closer to obtaining reproducible, homogeneous and tailored-made MCM-41 type MSN.

An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering

Streaming feature selection (SFS) is emerging as a key research direction which addresses the non-stationary property of feature streams when the sample size is fixed. Most existing SFS techniques are supervised methods, and ignore the label scarcity. Real-world datasets are typically unlabeled and the labeling costs are expensive. Although some unsupervised SFS approaches are proposed, these approaches are either limited to the homogeneous feature types or require substantial computational complexity. To address these problems, we propose an online unsupervised feature selection framework using dynamic feature clustering in this paper. We derived a recursive density lower bound to estimate the density distribution of feature streams and developed a density-based dynamic clustering method to perform the online feature stream clustering for exploring feature redundancy. An unsupervised online feature relevance maximization and redundancy minimization strategy is introduced to extract a subset of important features with low redundancy from the feature stream. Experimental results on thirteen well-known benchmark datasets and comparison studies with seven state-of-the-art supervised SFS methods demonstrate that the proposed unsupervised method provides statistically comparable performance with the supervised SFS techniques while the label information is unknown.

The expectations of generation Z regarding the university educational act in Romania: optimizing the didactic process by providing feedback.

In the university education system, the evaluation and provision of two-way teacher-student feedback are tools within the control function of educational management. Feedback can be defined as the process that takes place in the context of teacher-student interaction during university courses, both individually and in groups, for the development and achievement of the performance of the two actors involved through evaluation, appreciation, support, perception, and teaching. The research aims to develop an innovative feedback tool for the higher education engineering sector to support the improvement of learning outcome-oriented curricula and teaching activities to better meet the learning needs of Gen Z students while being relevant to the labor market and to society in general. The research had a number of subjects: 246 students (67.5% women, 32.5% men) and 7 teachers to whom two feedback instruments were applied (the SKS instrument and the standard instrument of Lucian Blaga University of Sibiu). After testing the four hypotheses, it was observed that the feedback provided by Gen Z is focused on four areas of competence: psychological, pedagogical, education management, and general impression. Each field includes a set of professional and transversal competencies. The SKS (STOP, KEEP, and START) evaluation form is more reliable in evaluating different disciplines than the standard evaluation form by providing a more homogenous type of feedback for each discipline or teacher.

Two-weighted inequalities for maximal commutators in generalized weighted Morrey spaces on spaces of homogeneous type

In this paper we give a characterization of two-weighted inequalities for maximal commutators in generalized weighted Morrey spaces on spaces of homogeneous type \(\mathcal{M}_{\omega }^{p,\varphi }(X)\). We prove the boundedness of maximal commutators \([M,b]\) from the spaces \(\mathcal{M}_{\omega _{1}^{\delta }}^{p,\varphi _{1}}(X)\) to the spaces \(\mathcal{M}_{\omega _{2}^{\delta }}^{p,\varphi _{2}}(X)\), where \(1<p<\infty \), \(0<\delta <1\) and \((\omega _{1},\omega _{2})\in \widetilde{A}_{p}(X)\).

Parabolic Muckenhoupt Weights with Time Lag on Spaces of Homogeneous Type with Monotone Geodesic Property

Parabolic Muckenhoupt Weights with Time Lag on Spaces of Homogeneous Type with Monotone Geodesic Property

Spatially distinct otic mesenchyme cells show molecular and functional heterogeneity patterns before hearing onset

The cochlea consists of diverse cellular populations working in harmony to convert mechanical stimuli into electrical signals for the perception of sound. Otic mesenchyme cells (OMCs), often considered a homogeneous cell type, are essential for normal cochlear development and hearing. Despite being the most numerous cell type in the developing cochlea, OMCs are poorly understood. OMCs are known to differentiate into spatially and functionally distinct cell types, including fibrocytes of the lateral wall and spiral limbus, modiolar osteoblasts, and specialized tympanic border cells of the basilar membrane. Here, we show that OMCs are transcriptionally and functionally heterogeneous and can be divided into four distinct populations that spatially correspond to OMC-derived cochlear structures. We also show that this heterogeneity and complexity of OMCs commences during early phases of cochlear development. Finally, we describe the cell-cell communication network of the developing cochlea, inferring a major role for OMC in outgoing signaling.

Real-variable characterizations and their applications of matrix-weighted Besov spaces on spaces of homogeneous type

Real-variable characterizations and their applications of matrix-weighted Besov spaces on spaces of homogeneous type

The q-Racah polynomials from scalar products of Bethe states

The q-Racah polynomials are expressed in terms of certain ratios of scalar products of Bethe states associated with Bethe equations of either homogeneous or inhomogeneous type. This result is obtained by combining the theory of Leonard pairs and the modified algebraic Bethe ansatz.