Miracle-dz/UniFAR-FTUs huggingface dataset:
On the mechanical stability of growing arteries

Arteries are modelled, within the framework of non-linear elasticity, as incompressible two-layer cylindrical structures that are residually stressed through differential growth. These structures are loaded by an axial force, internal pressure and have non-linear, anisotropic, hyperelastic response to stresses. Parameters for this model are directly related to experimental observations. The possible role of axial residual stress in regulating stress in arteries and preventing buckling instabilities is investigated. It is shown that axial residual stress lowers the critical internal pressure leading to buckling and that a reduction of axial loading may lead to a buckling instability which may eventually lead to arterial tortusity.
On the generation of anomalous and ultraslow diffusion

We consider an ensemble of particles propagating randomly in a general space. The particles’ trajectories are independent and identically distributed copies of a general random spatial curve. The motions of the particles along their trajectories are subordinated to nonlinear clocks with random exponents. We characterize the class of Poissonian randomizations of the clocks’ exponents that render the statistical behavior of the ensemble invariant with respect to the particles’ trajectories. In particular, we show how anomalous diffusion and ultraslow diffusion statistical behaviors can be universally generated—regardless of the specific details of the particles’ trajectories.
Time-varying signal processing using multi-wavelet basis functions and a modified block least mean square algorithm

This paper introduces a novel parametric modeling and identification method for linear time-varying systems using a modified block least mean square (LMS) approach where the time-varying parameters are approximated using multi-wavelet basis functions. This approach can be used to track rapidly or even sharply varying processes and is more suitable for recursive estimation of process parameters by combining wavelet approximation theory with a modified block LMS algorithm. Numerical examples are provided to show the effectiveness of the proposed method for dealing with severely nonstatinoary processes.
Increasing Impulse Buying Customer Through Social Media Influencer: E-WOM, Testimonial, Flashsale as Stimulus

Shopee as a shopping platform with the most traffic in Indonesia has various features that can increase transactions due to the impact of changes in consumer shopping patterns including E-WOM and testimonials containing after-purchase consumer reviews and flashale. Therefore, the purpose of this study is to analyze: the effect of E-WOM on SMI, the effect of testimonials on SMI, the effect of flashale on SMI, the effect of E-WOM on impulse buying, the effect of testimonials on impulse buying, the effect of flashsale on impulse buying, the effect of SMI on impulse buying, the effect of E-WOM on impulse buying, the effect of Testimonial on impulse buying, the effect of Flashsale on impulse buying through SMI on the Shopee platform. This study uses a quantitative approach and SEM-PLS analysis. The population of this research is all unlimited users of the Shopee platform and a sample of 180 respondents. The results of this study state that there is a significant effect of E-WOM on SMI, testimonials on SMI, flashsale on SMI, E-WOM on impulse buying, testimonials on impulse buying, and flashsale on impulse buying. SMI on impulse buying and E-WOM, testimonials and flashsale on impulse buying through SMI. Keywords: E-WOM, Testimonial, Flashsale, SMI, Impulse Buying
Retinol-Loaded Poly(vinyl alcohol)-Based Hydrogels as Suitable Biomaterials with Antimicrobial Properties for the Proliferation of Mesenchymal Stem Cells

Polyvinyl alcohol (PVA) hydrogels are well-known biomimetic 3D systems for mammalian cell cultures to mimic native tissues. Recently, several biomolecules were intended for use in PVA hydrogels to improve their biological properties. However, retinol, an important biomolecule, has not been combined with a PVA hydrogel for culturing bone marrow mesenchymal stem (BMMS) cells. Thus, for the first time, the effect of retinol on the physicochemical, antimicrobial, and cell proliferative properties of a PVA hydrogel was investigated. The ability of protein (3.15 nm) and mineral adsorption (4.8 mg/mL) of a PVA hydrogel was improved by 0.5 wt. % retinol. The antimicrobial effect of hydrogel was more significant in S. aureus (39.3 mm) than in E. coli (14.6 mm), and the effect was improved by increasing the retinol concentration. The BMMS cell proliferation was more upregulated in retinol-loaded PVA hydrogel than in the control at 7 days. We demonstrate that the respective in vitro degradation rate of retinol-loaded PVA hydrogels (RPH) (75–78% degradation) may promote both antibacterial and cellular proliferation. Interestingly, the incorporation of retinol did not affect the cell-loading capacity of PVA hydrogel. Accordingly, the fabricated PVA retinol hydrogel proved its compatibility in a stem cell culture and could be a potential biomaterial for tissue regeneration.
Data structures, minimization and complexity of boolean functions

Boolean function manipulation is an important component of computer science. This thesis presents results related to Boolean function representation and minimization. The Boolean function minimization problem is re-defined. A new Boolean function classification theory based on permutation and extension is developed. More efficient Boolean function minimization algorithms can be derived based on the classification theory. The thesis also examines the complexity issues and graph structure of OBDDs of some special Boolean functions. Moreover, some new data structures for Boolean functions are reported in this thesis. Some functions are found to have constant complexity in the new data structure while having exponential complexity in existing data structures.
A systematic review on extensively drug-resistant tuberculosis from 2009 to 2020: special emphases on treatment outcomes

Objectives Extensively drug-resistant tuberculosis (XDRTB) has raised a great threat to human health globally, especially in developing countries. The objective of the present study is to collate and contrast the proportions of treatment outcome in the previously published XDR-TB articles. Material and methods By considering inclusion criteria and search engines, a total of 22 articles were enrolled. Results Our findings revealed that the overall favorable treatment outcome was 24.04%. From the cohort of enrolled studies 19.76% (397) and 43.35% (871) patients were cured and died respectively. In 90.9% of enrolled articles, the investigators performed drug-susceptibility testing at the baseline. The overall treatment outcome was improved by the use of new drugs (linezolid, bedaquiline, ciprofloxacin, clofazimine) in the treatment regimen of XDR-TB showing linezolid and bedaquiline better results i.e. 59.44 and 78.88%, respectively. Moreover, use of antiretroviral treatment in XDR-TB patients with HIV infection have not shown any significant difference in the treatment outcome. Conclusions XDR-TB treatment success can be achieved by implying standardized definitions, upgraded diagnostic procedures, and novel drugs.
Geometric and Electronic Structure‐Matched Superoxide Dismutase‐Like and Catalase‐Like Sequential Single‐Atom Nanozymes for Osteoarthritis Recession

Highly‐active single‐atom nanoenzymes (SAzymes) with biomimetic geometric and electronic coordination structures are highly highlighted to exhibit greatly‐increased catalysis activity. Despite various SAzymes, superoxide dismutase (SOD)‐like SAzymes for scavenging superoxide anions to treat osteoarthritis are still absent. In this report, a graphene‐supported ClCuN4‐centered SAzyme (CuN4ClG) is engineered that carries out SOD‐like reactions. Various synchrotron radiation‐based X‐ray valence/structural analyses reveal that the geometric and electronic structures of such ClCuN4 active centers are validated to atomically match natural SOD enzyme after precisely manipulating coordinated N and Cl atoms via the unprecedented pre‐coordination orientation and preservation of copper‐phthalocyanine structure. Cu‐N4ClG SAzymes are endowed with unparalleled catalytic activities and kinetics to degrade O2•¯ into H2O2 and O2, and further exhibit catalase (CAT)‐like activity to sequentially decompose H2O2 and •OH into H2O and O2, wherein the origin of sequential SOD‐like and CAT‐like catalysis routes is uncovered. Impressively, nitroxide radical scavenging and photothermally‐enhanced catalytic activity are reached, synergistically protecting chondrocytes from oxidative stress‐induced apoptosis and alleviating osteoarthritis via re‐programming or normalizing osteoarthritis microenvironments. Cu‐N4ClG SAzymes are competent for other reactive oxygen species (ROS)‐arised lesions, and their rationales provide guidance to design other SAzymes.
A Review: Meridianins and Meridianins Derivatives

Meridianins are a family of indole alkaloids derived from Antarctic tunicates with extensive pharmacological activities. A series of meridianin derivatives had been synthesized by drug researchers. This article reviews the extraction and purification methods, biological activities and pharmacological applications, pharmacokinetic characters and chemical synthesis of meridianins and their derivatives. And prospects on discovering new bioactivities of meridianins and optimizing their structure for the improvement of the ADMET properties are provided.
Pharmacological Modulation of the Crosstalk between Aberrant Janus Kinase Signaling and Epigenetic Modifiers of the Histone Deacetylase Family to Treat Cancer

Hyperactivated Janus kinase (JAK) signaling is an appreciated drug target in human cancers. Numerous mutant JAK molecules as well as inherent and acquired drug resistance mechanisms limit the efficacy of JAK inhibitors (JAKi). There is accumulating evidence that epigenetic mechanisms control JAK-dependent signaling cascades. Like JAKs, epigenetic modifiers of the histone deacetylase (HDAC) family regulate the growth and development of cells and are often dysregulated in cancer cells. The notion that inhibitors of histone deacetylases (HDACi) abrogate oncogenic JAK-dependent signaling cascades illustrates an intricate crosstalk between JAKs and HDACs. Here, we summarize how structurally divergent, broad-acting as well as isoenzyme-specific HDACi, hybrid fusion pharmacophores containing JAKi and HDACi, and proteolysis targeting chimeras for JAKs inactivate the four JAK proteins JAK1, JAK2, JAK3, and tyrosine kinase-2. These agents suppress aberrant JAK activity through specific transcription-dependent processes and mechanisms that alter the phosphorylation and stability of JAKs. Pharmacological inhibition of HDACs abrogates allosteric activation of JAKs, overcomes limitations of ATP-competitive type 1 and type 2 JAKi, and interacts favorably with JAKi. Since such findings were collected in cultured cells, experimental animals, and cancer patients, we condense preclinical and translational relevance. We also discuss how future research on acetylation-dependent mechanisms that regulate JAKs might allow the rational design of improved treatments for cancer patients. Significance Statement Reversible lysine-ɛ-N acetylation and deacetylation cycles control phosphorylation-dependent Janus kinase–signal transducer and activator of transcription signaling. The intricate crosstalk between these fundamental molecular mechanisms provides opportunities for pharmacological intervention strategies with modern small molecule inhibitors. This could help patients suffering from cancer.
A Numerical Determination of the Evolution of Cloud Drop Spectra due to Condensation on Natural Aerosol Particles

The time variation in size of aerosol particles growing by condensation is studied numerically by means of an air parcel model which allows entrainment of air and aerosol particles. Particles of four types of aerosols typically occurring in atmospheric air masses were considered. The present model circumvents any assumption about the size distribution and chemical composition of the aerosol particles by basing the aerosol particle growth on actually observed size distributions and on observed amounts of water taken up under equilibrium by a deposit of the aerosol particles. Characteristic differences in the drop size distribution, liquid water content and supersaturation were found for the clouds which evolved from the four aerosol types considered.
Scalable Network Emulation

—One of the main problems of measuring the performance of large scale distributed systems is the ever-changing state of the network. This ever-changing uncontrollable component of the environment causes results from experimentation to differ from the expectation many times. There is a need then for a way to precisely emulate the network state. With a stable network state, we can now obtain reproducible results. There are many problems with the current state of the art approaches when it comes to network emulation, most of them come from trying to completely emulate the state of the network. Kollaps is a decentralized emulator that does not involve managing the application and transport protocol layers, and therefore can emulate systems spread across several distinct physical machines. However, Kollaps still suffers from several limitations such as high resource usage, difﬁculty to scale to a large number of physical nodes, and lack of support for bare metal deployments. This thesis proposes Kollaps 2.0, a new iteration of Kollaps, which improves upon the limitations of its ﬁrst version. We present an overview of the new mechanisms. And ﬁnally, an evaluation with micro and macro benchmarks showing how Kollaps 2.0 improved upon Kollaps. In this evaluation, we were able to show that the CPU usage is substantially reduced in both large and small scale topologies while maintaining an accurate emulation. We also demonstrate that bare metal deployments can now use Kollaps 2.0 to emulate network states while maintaining an accurate emulation.
Prevalence of Hypertension among the Adolescents of Private Schools of Tripura, India

: Background : High blood pressure in young adulthood is associated with increased risks of cardiovascular disease and mortality decades later. Epidemiological transition with increasing burden of cardiovascular risk factors such as obesity and hypertension is already evident not only in the adult population, but also in the paediatric population in developing countries including India. Objective : Objective of this study is to find out the prevalence of hypertension among the students studying in class 9 th to 11 th standard in faith based English medium private schools in Tripura, India. Methods : A cross section descriptive study was carried out in November- December 2021 in faith based English medium private schools of two subdivisions of Tripura, India. Students from class 9 th , 10 th and 11 th participated in this study. Blood pressure was measured by automatic Blood Pressure measurement instruments in seating position. Result : The prevalence of hypertension among adolescents aged 13 to 18 years was 19.3% (95% CI 16.2 – 22.7%). The prevalence of systolic hypertension was 8.1% (95% CI 6.2 – 10.7%) and diastolic hypertension was 15.4% (95% CI 12.7 – 18.6%). Conclusion : High prevalence of hypertension was found among school-going adolescents aged 13 to 18 years in two subdivisions in Tripura, India.
A new imaging technique based on the nonlinear properties of tissues

Finite amplitude sound propagating in a medium undergoes distortion due to the nonlinear properties of the medium. The nonlinear distortion produces harmonic (and subharmonic) energy in the propagating signal. The amplitudes used by commercial medical scanners during routine diagnostic scanning are in most cases finite and thus within the range that produces nonlinear distortion. Thermoviscous absorption of tissue which is frequency dependent rapidly dissipates this harmonic energy. This has led to the widely held assumption that nonlinear distortion was not a significant factor in medical diagnostic imaging. However, the wide dynamic range, digital architecture, and the signal processing capabilities of modern diagnostic ultrasound systems make it possible to utilize this tissue generated harmonic energy for image formation. These images often demonstrate reduced nearfield artifacts and improved tissue structure visualization. Previously, those images were believed to be the result of transmitted second harmonic energy. It is shown that the nonlinear properties of tissue are the major contribution of harmonic images.
Flexible-foam-based capacitive sensor arrays for object detection at low cost

Polymer foams are used in the automotive and construction industries for thermal insulation, vibration attenuation, and pressure absorption, due to their lightweight structure, thermal characteristics and low manufacturing costs. These foams have higher elasticity in their cross sections than bulk polymers, which makes them the preferred mount for capacitive sensor arrays. The authors describe a flexible pressure-sensitive surface mounted on packaging foam. The elastic properties of the foam are presented along with the sensor array’s weight sensitivity. The authors illustrate an inventory management application where objects on display can be detected through their weights.
Proximal Hyperdense Middle Cerebral Artery Sign is Associated with Increased Risk of Hemorrhagic Transformation after Endovascular Thrombectomy: A Multi-center Retrospective Study

Objective: To investigate whether hyperdense middle cerebral artery sign (HMCAS) on pretreatment no-contrast CT (NCCT) is associated with hemorrhagic transformation (HT) after endovascular thrombectomy (EVT). Methods: Patients with acute middle cerebral artery (MCA) occlusion who received EVT between January 2018 and December 2021 in three comprehensive hospitals were retrospectively evaluated. They were divided into negative HMCAS, proximal HMCAS, and distal HMCAS groups, among whom differences were compared. Univariate and multivariate logistic regression analysis were performed to investigate the association between HMCAS and HT. Results: 318 patients were included, among whom 149 (46.9%) had HMCAS with 107 (71.8%) in the proximal HMCAS group and 42 (28.2%) in the distal HMCAS group. Patients with proximal HMCAS had higher National Institute of Health Stroke Scale scores (p = 0.006) and lower Alberta Stroke Program Early CT Scores (p < 0.001). Large artery atherosclerosis was more frequent in the negative HMCAS group while cardioembolism was more common in the positive HMCAS groups (p = 0.007). The rate of HT was higher in the proximal HMCAS group than that in the negative HMCAS group (61.7% vs 43.2%, p < 0.05). Proximal HMCAS was associated with HT in univariate analysis (unadjusted OR = 2.117, 95%CI: 1.291– 3.471, p = 0.003) and remained an independent risk factor of HT in multivariate logistic regression analysis (adjusted OR = 1.989, 95%CI: 1.170–3.380, p = 0.011). Conclusion: Proximal HMCAS on initial NCCT was independently associated with HT in patients who received EVT for acute MCA occlusion.
On the structure of acronyms and neighbouring categories: a prototype-based account

This article reports the results of a study based on a corpus of simple (i.e. only written) and complex (both written and oral) shortenings, that is, initialisms (a category comprising acronyms, e.g. laser, and alphabetisms, e.g. BBC), as well as clippings (lab), blends (motel), and abbreviations (Mr). The study intends to confirm the validity of the tools provided by the revised version of prototype theory for a systematic account of these metalinguistic categories, which are often neglected in lexical morphology. A set of defining parameters and possible values was devised and applied to the items of the corpus. As a result, these items were distributed along a continuum of central, peripheral, and borderline cases of all the categories considered. The body of the article is an in-depth account of the centre–periphery structure of the superordinate category of initialisms, with particular attention being paid to the fuzzy boundaries featuring clippings and blends. In the last section, shortenings are categorized and represented by means of a radial polycentric network of the type devised in Lakoff (1987).
The Coupler: a new bibliometric tool for relational citation, bibliographic coupling and co-citation analysis

Introduction: The use of programming languages in the context of Metric Information Studies has gained ground among the scientific community in the area as they are practical, free or have low computational cost. Objectives: To present a new, free and alternative bibliometric tool, aimed at relational citation analysis, focusing on bibliographic coupling, built on the R programming language, entitled The Coupler . Methodology: We ground the relational analysis of citation, co-citation and bibliographic coupling from a mathematical perspective and present the source code of the tool and the conditions under which it was built with its access granted for all. We use generic data and expose all its features to test the tool; and to demonstrate the use with real data, we operate bibliometric, patentometric, altmetric and natural language data. Results: The tool builds citation, coupling and co-citation matrices, in addition to calculating normalized values via Salton’s Cosine and Jaccard Index of the bibliographic coupling frequencies. Furthermore, The Coupler builds bibliographic coupling networks and identifies the coupling units responsible for each coupling pair; the latter feature, a distinct result for traditional bibliometric software. Conclusion: The paper concludes that the tool behaves as expected and satisfactorily when processing both generic data and bibliometric, patentometric, altmetric and natural language data. Among the results, especially and differentiating from other software, we highlight the identification of coupling units, and calculations of normalized coupling frequencies via Salton’s Cosine and Jaccard Index.
libdft : Dynamic Data Flow Tracking for the Masses

Data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been repeatedly implemented by a variety of tools for numerous purposes, including protection from zero-day attacks, detection and prevention of information leaks, and for the analysis of benign and malicious software. libdft is a dynamic DFT framework that unlike previous work is at once fast , reusable , and works with commodity software and hardware . In addition, it provides an API for building DFT-enabled tools that work on unmodified binaries, running on common operating systems and hardware, thus facilitating research and rapid prototyping. libdft is available as open source software. During the past ∼ 10 years, the research community has used, or extended, our research prototype to facilitate a plethora of tasks that are related to security and privacy topics, leading to numerous publications with meaningful impact.