Miracle-dz/UniFAR-FTUs huggingface dataset:
Nomographs for Polymeric Material Selection for Environmental Conscious Design of Industrial Products

Environmentally-conscious product design using Life Cycle Assessment (LCA) deserves the utmost attention to save and sustain our planet’s lives, flora and fauna. The choice of materials during the design stage needs to address environmental concerns from their sourcing to production and ultimately going up to the disposal stage. A good majority of industrial products are still not designed, focusing the environmental concerns. The inclusion and practice of the LCA approach during product designing are in a nascent stage not only in India but even over the rest of the world. Nowadays, polymers share a major chunk of the volume of goods produced worldwide and thus have a significant effect on the environment. The available design books or nomographs guide the selection of materials considering several criteria but not considering the related environmental issues. This paper attempts to bridge this gap only for the selection of polymeric materials by providing some easily interpretable and visually ready reckoners in the form of 3-D nomographs. These 3-D nomographs, graphical representations developed using the Solidworks software, echo the material’s Environmental Impact (EI) potential on an axis with some two material properties (e.g., tensile strength and density) on the other two axes. 3-D nomographs are suitably transformed into 2-D nomographs without the loss of any information. EIs on these nomographs were computed using SimaPro software. The potential EI of any product and the overall environmental burden due to them can be significantly reduced, and more so when they are mass-produced, by selecting the right materials using these nomographs. Such an approach will help in fulfilling long-term sustainable development goals of society and the globe.
Multilateral Semantic With Dual Relation Network for Remote Sensing Images Segmentation

Semantic segmentation of remote sensing images is an extensively employed and demanding task. Although deep convolutional neural networks have significantly increased the accuracy of semantic segmentation, the problems of losing detailed features in segmentation and ignoring rich contextual information of images still exist. To solve these challenges, we propose a multilateral semantic with dual relation network (MSDRNet) for remote sensing images segmentation. The proposed MSDRNet consists of two parallel modules, the detail semantic module and the global semantic module, for extracting image detail and global features, respectively. Subsequently, improved spatial relation block and channel relation block are introduced in two separate parallel modules to further enhance the contextual connection of the images. Finally, a feature refinement module is added to balance the multilateral features between the features extracted from the two branches. We display the robustness and effectiveness of the proposed MSDRNet on the publicly available ISPRS Potsdam and Vaihingen datasets. We further experimented with the Gaofen image dataset, which contains information on larger scale features, to demonstrate the validity of our model. The results of extensive experiments conducted on the aforementioned three datasets show that the proposed approach outperforms several state-of-the-art semantic segmentation methods.
Design and Synthesis of Novel Bis Thiazolo[4,5-c]Isoxazolines Bearing 1,2,4-triazole Ring Derived From the Related 4-thiazolidinons as Antimicrobial Agents

Design and synthesis of novel poly heterocycles together using same heterocyclic compound is the main task of the present paper. The target compounds entitled 4,4’-[benzene-1,4-diylbis[ethylidenehydrazine-2-ylidene]bis[4-[3,5-di(5-substitutedpyridin-2-yl)-3,3a-dihydro[1,3]thiazolo[4,5-c][1,2]oxazol-6(5H)-yl]-4H-3-yl-1,2,4-triazole-3-thiol] have been synthesized starting from the reaction of 1,4-diacetylphenyl and carbohydrazide to give Schiff base derivatives then 1,2,4- triazole derivatives from the reaction with CS2 and an excess of hydrazine hydrate. The same applies for the condensing of these newly heterocyclic amines with different pyridine-2-carbaldehydes, which resulted in the synthesis of some new Schiff bases, which were then cyclized to develop new thiazolidinones by thioglycolic acid. Additionally, by fusing thiazolidinones with various pyridine-2-carbaldehydes, a novel chalcone was formed. To produce the desired fused isoxazolines, the later compounds underwent cyclization with hydroxylamine hydrochloride and potassium hydroxide. From the examination of the (CHN), FTIR, 1H NMR, and 13C NMR spectra, the structural identities of all recently synthesized compounds were determined. The newly synthesized chemicals were also successfully tested as an antibacterial agent.
A concatenation approach-based disease prediction model for sustainable health care system

In the present world, due to many factors like environmental changes, food styles, and living habits, human health is constantly affected by different diseases, which causes a huge amount of data to be managed in health care. Some diseases become life-threatening if they are not cured at the starting stage. Thus, it is a complex task for the healthcare system to design a well-trained disease prediction model for accurately identifying diseases. Deep learning models are the most widely used in disease prediction research, but their performance is inferior to conventional models. In order to overcome this issue, this work introduces the concatenation of Inception V3 and Xception deep learning convolutional neural network models. The proposed model extracts the main features and produces the prediction result more accurately than traditional predictive models. This work analyses the performance of the proposed model in terms of accuracy, precision, recall, and f1-score. It compares the proposed model to existing techniques such as Stacked Denoising Auto-Encoder (SDAE), Logistic Regression (LR), MLP, MLP with attention mechanism (MLP-A), Support Vector Machine (SVM), Multi Neural Network (MNN), and Hybrid Convolutional Neural Network (CNN)-Random Forest (RF).
Analysis of Sources of Personal Data Formation in Cyber-Physical Social Systems

The recent rapid development of the interaction of individuals with cyber-physical social systems has necessitated the exploration of the security and privacy principles during the collection, storage, processing, and use of personal data in cyber-physical social systems (CPSS). Based on the above, this study analyzes and classifies the sources of personal data formation in CPSS. This study plays an important role in future research to ensure personal data security in CPSS.
A new affine inhibitor of sodium pump thiacalix[4]arene С-1193 increases the intracellular concentration of Ca ions and modifies myometrium contractility

The methods of enzymatic and kinetic analysis were used to demonstrate that thiacalix[4]arene-bis-hydroxymethylphosphonic acid С-1193 had the inhibitory effect (І0.5 = 42.1 ± 0.6 nM) on Na+,K+-ATPase activity in the plasma membrane of myometrium cells with no effect on the relative activity of other ATPases localized in this subcellular structure. The method of confocal microscopy and Са2+-sensitive fluorescent probe fluo-4 were used to demonstrate that thiacalix[4]arene С-1193 increased the intracellular concentration of Ca ions in the immobilized uterine myocytes. The tenzometric studies proved that С-1193 (10 and 100 μМ) increased the isometric phasic contractions, induced via the paths of both electromechanical (depolarization with high-potassium solution) and pharmacomechanical (application of uterotonic hormone oxytocin, neurotransmitter acetylcholine or selective agonist of muscarinic acetylcholine receptors cevimeline) coupling. Application of thiacalix[4]arene С-1193 as a selective and effective inhibitor of Nа+,K+-ATPase may be useful both for studyng the regulation of ion homeostasis in smooth muscle cells and creation of new uterotonics based on the calixarene core. Keywords: contractility mechanokinetics, myometrium, Na+‚K+-АТРase, thiacalix[4]arene
Iterative space-angle discontinuous Galerkin method for radiative transfer equation

The radiative transfer equation (RTE) is an integro-differential equation that describes the radiation energy absorbing, emitting, and scattering in both space and angle, which can be up to five-dimensional problems. It is difficult for a RTE solver to satisfy both accuracy and efficiency (less computational resources) for such high dimensional problems. In this paper, an iterative solver for one-dimensional cylindrical radiative transfer problems using the space-angle discontinuous Galerkin (DG) method is developed to achieve both accuracy and efficiency. The iterative solver is based on the angular decomposition (AD) scheme, which slices the spatial-angular domain into slabs and decouples the angular integration between slabs. Both Jacobi and successive over-relaxation (SOR) iterative schemes are investigated by numerical analysis and examples. The comparison of the two iterative schemes suggests that an appropriate relaxation factor for the SOR method may accelerate the convergence. Finally, the iterative scheme is more efficient than the direct solution of the system both in terms of memory usage and computational time, especially for finer meshes.
Relational navigation and archiving of multimedia information for contemporary dance

Technology continues to evolve at an incredible rate and with it, the number of people adhering to new digital trends. As the production of multimedia content such as photographs and videos becomes accessible to more people every year, so does the amount of digital content increase exponentially. Consequently, it becomes a hard task to create systems in order to provide efficient storing and browsing of multimedia content. Multimedia Web archives are one of the most popular solutions found for these issues. By providing organized and connected information storage with efficient browsing and social networking features, these systems become the main platforms used to store and share photographs and videos in the internet. This work is done in the scope of the TKB project: Transmedia Knowledge Base for Contemporary Dance and the goal of this thesis is to develop a system for multimedia information storage and relational content navigation. The analysis of multimedia archiving systems done throughout this thesis extends to those specific for Contemporary dance as it is one of the main focus of the work. The contents which will be integrated in the archive include typical multimedia information such as images and videos, as well as annotated videos exported from specific platforms. Connecting all the information within the archive through taxonomy and content hierarchy allows the definition of the intended relational approach. Setting connections between content and users allow the creation of graphs, which will serve as a basis for all the browsing, navigation and searching done throughout the system.
Mechanical and Optical Properties of Topological Semimetal Compound YPtBi

We have reported the mechanical properties of topological semimetals half-Heusler compound YPtBi with LDA and GGA approximation which is implemented in density functional theory. We have calculated elastic parameters which ensure good machinability, covalent bonding, brittleness, low value of Kleinman parameter and high Vickers hardness. Our results reveal the hardness or large resistance of these topological semimetals. Moreover, Born mechanical stability conditions are well fulfilled by the topological semimetal YPtBi. Present study reveals that the low value of bulk modulus and shear modulus wheras high value of Youngs modulus of this topological semimetals which deforms easily with applied external force. We have also calculated optical properties of topological semi-metal YPtBi with both LDA and GGA. Optical properties are calculated in terms of dielectric function and we have calculated dielectric constant, optical reflectivity, absorption co-efficient, optical conductivity, refractive index and electron energy loss in the energy range 0 – 14 eV. We have found higher dielectric constants with GGA in comparison to LDA that imply YPtBi is excellent materials in solar cell applications. Also, YPtBi possess high refractive index in the visible range and it is optically isotropic.
Expression of the immune checkpoint molecules PD‑L1 and PD‑1 in EBV‑associated lymphoproliferative disorders: A meta‑analysis

Epstein-Barr virus (EBV) has been implicated in the development of a wide range of lymphoproliferative disorders. In this process, the role of programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) has remained to be clarified. A meta-analysis of 20 studies was performed and risk ratios (RRs) with 95% confidence intervals (CIs) were used to evaluate the association between PD-L1/PD-1 expression and the status of EBV infection. The results showed that the expression level of PD-L1 in tumor cells was significantly higher in EBV+ cases with a pooled RR of 2.26 (95% CI, 1.63-3.14; P<0.01), particularly in subtypes of diffuse large B-cell lymphoma (DLBCL) and classical Hodgkin lymphoma. Similarly, EBV infection increased the expression of PD-L1 in immune cells with a pooled RR of 2.20 (95% CI, 1.55-3.12; P<0.01). In subtypes of DLBCL and post-transplant lymphoproliferative disorder, the expression of PD-L1 in immune cells is increased in EBV+ cases. Regarding the expression level of PD-1 in tumor-infiltrating lymphocytes (TILs), no significance was found between EBV infection and PD-1 expression, with a pooled RR of 1.10 (95% CI, 0.81-1.48; P>0.05). The present meta-analysis demonstrated that in EBV-associated lymphoproliferative disorders, EBV infection was associated with the expression level of PD-L1 in tumor cells and immune cells but was not associated with the expression of PD-1 in TILs.
Recently recycled synaptic vesicles use multi-cytoskeletal transport and differential presynaptic capture probability to establish a retrograde net flux during ISVE in central neurons

Presynapses locally recycle synaptic vesicles to efficiently communicate information. During use and recycling, proteins on the surface of synaptic vesicles break down and become less efficient. In order to maintain efficient presynaptic function and accommodate protein breakdown, new proteins are regularly produced in the soma and trafficked to presynaptic locations where they replace older protein-carrying vesicles. Maintaining a balance of new proteins and older proteins is thus essential for presynaptic maintenance and plasticity. While protein production and turnover have been extensively studied, it is still unclear how older synaptic vesicles are trafficked back to the soma for recycling in order to maintain balance. In the present study, we use a combination of fluorescence microscopy, hippocampal cell cultures, and computational analyses to determine the mechanisms that mediate older synaptic vesicle trafficking back to the soma. We show that synaptic vesicles, which have recently undergone exocytosis, can differentially utilize either the microtubule or the actin cytoskeleton networks. We show that axonally trafficked vesicles traveling with higher speeds utilize the microtubule network and are less likely to be captured by presynapses, while slower vesicles utilize the actin network and are more likely to be captured by presynapses. We also show that retrograde-driven vesicles are less likely to be captured by a neighboring presynapse than anterograde-driven vesicles. We show that the loss of synaptic vesicle with bound molecular motor myosin V is the mechanism that differentiates whether vesicles will utilize the microtubule or actin networks. Finally, we present a theoretical framework of how our experimentally observed retrograde vesicle trafficking bias maintains the balance with previously observed rates of new vesicle trafficking from the soma.
THE REPRESENTATION OF BULLYING IN AMERICAN FILMS

The issue of bullying continues to be reported by the media because it still happens everywhere, especially in schools, and needs to be discussed in research. This qualitative research focuses on studying American films with the theme of bullying, namely Bully (2011), A Girl Like Her (2015), and Wonder (2017) as the main source of data. This study aims to identify how American movies portray bullying and to find out what bullying represents by applying Hall’s representation theory. Dialogs collected and sorted from the films were treated as signs that would convey more meanings. The results of data analysis suggest that American films with the themes of bullying frequently show bullying through portraits of physical violence, verbal violence, and trauma. Besides, bullying can also indicate a lack of attention from the family, the condition of the social environment, and the powerlessness of humans.
BUCKLING ANALYSIS OF BURIED SPANNING SUBMARINE PIPELINE

This paper presents a buckling analysis of buried spanning submarine pipelines under axial compressive force caused by thermal expansion,in which the seabed stiffness is taken into account.Traditional methods treat each span segment as a simply-supported beam or clamped-clamped beam in practice.A new approach is developed based on Euler-Bernoulli beam theory,taking into account the linear elastic stiffness of seabed and temperature-driving axial force.A fourth order ordinary differential equation governing buried segment in elastic seabed and spanning segment under self-weight and axial compressive force is established and solved.The static deflection and internal force function of both segments are obtained in closed form.Stability criteria of buried segment and spanning segment are established through analyzing the characteristics of static deflection.
Experimental Study on Continuous Frequency Tuning of a Second-Harmonic 800-GHz Gyrotron

The continuous frequency tuning of a second-harmonic (SH) 800-GHz gyrotron is experimentally studied. The influence of the electron pitch factor on harmonic mode competition and frequency tunability has been thoroughly examined. By controlling the pitch factor, the competition from the fundamental parasitic mode can be effectively suppressed. The stable oscillations of the SH mode were achieved with an output power of up to 150 W and a continuous frequency tuning range of 0.8 GHz around 800 GHz. Similarly, the gyrotron operating in the fundamental mode can achieve wideband continuous frequency tuning range of 8.71 GHz around 385 GHz.
Post-collisional high-K calc-alkaline volcanism in Tengchong volcanic field, SE Tibet: constraints on Indian eastward subduction and slab detachment

Post-collisional high-K calc-alkaline volcanism occurred in the Tengchong volcanic field in the southeastern Tibetan Plateau from 8 Ma to AD 1609. The volcanic rocks have chondrite-normalized rare earth element (REE) patterns characterized by enrichment in light REE (LREE), a flat heavy REE (HREE) pattern and weak negative Eu anomalies. Primitive mantle-normalized incompatible trace element diagrams indicate enrichments in large ion lithophile elements (LILE) relative to high field strength elements (HFSE) and negative Ta–Nb–Ti anomalies. Incompatible trace element and Sr–Nd–Pb isotope compositions reflect the suprasubduction-zone fluid enrichment of the asthenospheric mantle wedge beneath the Burma–Tengchong terrane as a consequence of eastward underthrusting of the Indian continental lithosphere following the India–Asia collision at 55 Ma. Sr–Nd isotope mixing modelling indicates that amounts of the Indian slab-derived fluid range from 1.0 to 4.6% in the asthenospheric mantle source. Incompatible trace element modelling calculation results show 16% melting of the enriched asthenospheric mantle wedge beneath the Burma–Tengchong terrane. Three parameters (i.e. India-derived fluid, melting degree and residual minerals in the mantle source) constrain the composition of the Tengchong volcanic field mafic magmas. Trace element and Sr–Nd isotopic mixing modelling indicate that the post-collisional mafic magmas in this volcanic field are the product of slab detachment of the eastward subducted Indian continental lithosphere, which may be linked to a significant change in the convergence angle between India and Asia since 8 Ma.
Teacher habitus as/at the nexus of practice: Musical Futures and Irish primary schools

ABSTRACT Musical Futures approaches, with their roots in informal learning, have been the subject of much research internationally, with studies showing their significant impact on music education policy and practice. Within a theoretical framework drawn from the work of the sociologist Pierre Bourdieu, this paper examines the manifestation of habitus as both the nexus at teacher practice (connecting its discrete elements), and the nexus as teacher practice (the focal point of teacher practice). Using Participatory Case Study Research, generalist primary teachers (n = 7) and students (n = 137) from six primary schools in the Republic of Ireland engaged with Musical Futures from a period of ten to thirty weeks. The findings situate teachers’ conceptualisations of self, using habitus as a lens to interpret how these elements mediate and are mediated by practice. These findings illustrate how teachers draw considerably on their personal musical experiences to inform their professional practice. In this research, engagement in Musical Futures generally brought about a renaissance of personal music making for teachers in this study, proffering unique insights into informal and non-formal music teaching and learning within the Irish primary generalist context.
Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy

Fast and convenient soil analytical techniques are needed for soil quality assessment and precision soil management. Spectroscopy in the ultraviolet (UV, 250–400 nm), visible (VIS, 400–700 nm), and near-infrared (NIR, 700–2500 nm) ranges allows rapid acquisition of soil information at quantitative, and qualitative or indicator, levels for use in agriculture and environmental monitoring. The main objective of this study was to evaluate the ability of reflectance spectroscopy in the UV, VIS, and NIR ranges to predict several soil properties simultaneously. Soil samples (161 surface and subsurface) were used for simultaneous estimation of pH, electrical conductivity (EC), air-dry gravimetric water content, organic carbon (OC), free iron, clay, sand, and silt contents, cation exchange capacity (CEC), and exchangeable calcium (Ca), magnesium (Mg), potassium (K), and sodium (Na). Principal component regression analyses (PCA) were used to develop calibration equations between the reflectance spectral data and measured values for the above soil properties obtained by traditional laboratory methods. By using randomly selected calibration and validation sets of samples, PCA models were able to successfully predict pH, OC, air-dry gravimetric water content, clay, CEC, exchangeable Ca, and exchangeable Mg of soil samples. The predictions, however, were poor for EC, free iron, sand, silt, exchangeable K, and exchangeable Na. The study shows that reflectance spectroscopy in the UV–VIS–NIR range has the potential for the rapid simultaneous prediction of several soil properties.