Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrafast Heating Rate of Ultrasmall Gold-coated Iron Oxide Magnetic Nanoparticles by Ferromagnetic Resonance

In this study, we experimentally demonstrated an ultrafast heating rate of ultrasmall gold-coated iron oxide magnetic nanoparticles (Fe<inf>3</inf>O<inf>4</inf>@Au NPs) by the ferromagnetic resonance (FMR) effect. Using the constructed setup, the ferromagnetic resonance and temperature increment of NPs under FMR were evaluated. The resonant frequency of Fe<inf>3</inf>O<inf>4</inf>@Au NPs and their uncoated Fe<inf>3</inf>O<inf>4</inf> NPs was several GHz and increased with increasing DC field strength. The resonant frequency of Fe<inf>3</inf>O<inf>4</inf>@Au NPs shifted slightly lower than that of Fe<inf>3</inf>O<inf>4</inf> NPs. The initial temperature rising rate reached the maximum values at their corresponding DC fields for FMR (e.g. 1.294 and 3.894 K/s under H<inf>DC</inf>=1200 Oe for RF field of f<inf>AC</inf>=4 GHz and H<inf>AC</inf>=4 Oe for Fe<inf>3</inf>O<inf>4</inf>@Au and Fe<inf>3</inf>O<inf>4</inf> NPs, respectively). These values were two orders of magnitude higher than that of Néel and the Brownian relaxation for the conventional magnetic hyperthermia. The maximum value also increased with increasing RF field frequency. The obtained results also indicate that it is possible to control the temperature of NPs by adjusting the parameters of the RF field and DC field, suggesting their potential use for therapeutic temperature control in magnetic hyperthermia applications.
Public participation and access to justice in environmental matters in Croatia

Environmental protection is often achieved through participation in administrative procedures by the interested public in the form of interested parties. Such parties are able to participate in administrative procedures through which, for example, building permits and environmental permits are issued. In this manner, the public is able to challenge administrative decisions in front of first-instance and second-instance bodies in administrative procedure, and, subsequently, in administrative disputes in front of competent administrative courts. However, in many sector laws this opportunity is being bypassed by narrowing the possibility to participate in administrative procedure. Croatia is also a party to the Aarhus Convention, which guarantees the possibility of the public concerned (having only factual interest to prove) to participate in administrative procedures regarding administrative matters. Furthermore, the possibility to partake in spatial planning will also be analyzed in this paper, as spatial planning has a huge impact on the environment. Therefore, this paper will analyze the opportunities and challenges for public participation and access to justice in environmental matters in Croatia.
Efficient Dedicated Hardware Design System for the VVC Low-Frequency Non-Separable Transform

This paper proposes a dedicated hardware architecture for the Low-Frequency Non-Separable Transform (LFNST) of the Versatile Video Coding (H.266/VVC) standard. The VVC defines two stages of transformation, where the first stage uses traditional transform types (e.g. DCT-II, DCT-VII and DST-VII), while the secondary transform stage applies the LFNST. The LFNST is used to transform the coefficients that were transformed by the DCT-II in the primary transform, but only those from the residues that came from the intra prediction. The developed LFNST system design exploits the Clock Crossing Domain technique to extract the best relation between performance and area/power. Consequently, the design operates with two clock domains, where the core operates at a four times higher frequency than the primary transform. The ASIC synthesis results for a TSMC 40nm standard-cells library indicate that our design can process UHD 4K videos at 120 frames per second while using an area of 69.68 Kgates, and with a power dissipation of 40.46 mW. When compared with related works, our design presented the lowest power dissipation and energy consumption per sample.
Distance-related Properties of Corona of Certain Graphs

A graph G is called a m−eccentric point graph if each point of G has exactly m ≥ 1 eccentric points. When m = 1, G is called a unique eccentric point (u.e.p) graph. Using the notion of corona of graphs, we show that there exists a m−eccentric point graph for every m ≥ 1. Also, the eccentric graph Ge of a graph G is a graph with the same points as those of G and in which two points u and v are adjacent if and only if either u is an eccentric point of v or v is an eccentric point of u in G. We obtain the structure of the eccentric graph of corona G ◦ H of self-centered or non-self-centered u.e. p graph G with any other graph H and obtain its domination number.
Assessment Of Acute Toxicity Of Chlorpyrifos And Its Sub-Lethal Effects On Protein Patterns Of Cyprinus Carpio(L.) By Using SDS-PAGE

— The present study was focused on investigating the acute toxicity of chlorpyrifos and its impact on electrophoretic protein patterns in the tissues of Cyprinus carpio , an acute toxicity bioassay was conducted in the semi-static system and the fingerlings of C. carpio were exposed to various chlorpyrifos(50%EC)concentrations ranging from 0.1mg/L to 0.7mg/L for 96 h, and acute toxicity was determined as 0.318mg/L. Based on the LC 50 value, the Cyprinus carpio were exposed to two sub-lethal concentrations viz., SL-1 (1/5 th of LC 50 , 0.0636mg/l) and SL-2 (1/10 th of LC 50 ,0.0318 mg/l) of chlorpyrifos. Proteins have a unique role in cell metabolism and proteomic analysis provides valuable information when variations that occur within the proteome of organisms are compared as a consequence of biological perturbations or external stimuli. The study's goal was to investigate the influence of chlorpyrifos on electrophoretic protein patterns by performing SDS-PAGE on muscle, liver, gill, and brain tissues after exposing fish to two sublethal concentrations in a semi-static system for 3 weeks. The intensity of protein subunits in exposed tissues decreased, and some subunits disappeared, CPF influences both high-intensity protein bands and low intensity as well in both the sub-lethal concentrations. The study has suggested that the changes in the protein banding are more prominent in the SL-1 concentration of chlorpyrifos.The variations in protein subunits band patterns are due to protein deprivation of various proteins, proteolysis, or maybe insufficient amino acid incorporation into the polypeptide chain due to induced stress imposed by the toxicant.
Robust higher-order ILC for non-linear discrete-time systems with varying trail lengths and random initial state shifts

This study addresses a robust iterative learning control (ILC) scheme for non-linear discrete-time systems in which both the trail lengths and the initial state shifts could be randomly variant in iteration domain. The proposed higher-order ILC law guarantees that as the iteration number goes to infinity, the ILC tracking errors at the desired output trail period are bounded in mathematical expectation, and the bound of tracking errors is proportional to the random initial state shifts. Specifically, the ILC tracking errors in mathematical expectation can be driven to zero as the expectation of initial state shifts is zero. Two numerical examples are carried out to demonstrate the effectiveness of the proposed higher-order ILC law.
Surface plasmon polaritons in hyperbolic nanostructured metamaterials

Abstract Here, new kinds of surface waves on nanostructured metamaterial (MM), crossing the light line with a substantial portion at lower frequencies lying above the free space light line, are considered. We present the numerical study of dispersion features of hyperbolic MMs for various cases, and the tunability of hyperbolic MMs based on grapheme-dielectirc multilayers and transparent conducting oxide-dielectric multilayers have been demonstrated. Similar to grapheme-dielectric MM, the propagation of the new surface waves on nanostructured MM presented in this manuscript is sensitive and can be controlled by the parameters of the materials employed in nanostructures. Remarkably, the parameters of the materials employed in nanostructures dramatically influence the propagation of such surface waves. Additionally, the Ferrell–Berreman modes are detected under certain conditions, providing a fertile ground for device fabrications.
Quantum Capacities and Entropy Production of Quantum Markov Chains

A basic question in quantum information theory is to quantify the optimal rate of transmitting quantum information via a given quantum channel using certain coding schemes. We study this question for discrete- and continuous-time quantum Markov processes. For continuous-time processes modeling a quantum memory we introduce new capacities where coding channels may be applied during the storage time. We prove upper bounds on these quantities by studying the entropy production of quantum Markov processes.
Wi-CL: Low-Cost WiFi-Based Detection System for Nonmotorized Traffic Travel Mode Classification

Traffic travel mode identification and classification are crucial for the development of intelligent transportation systems (ITSs). At present, scholars have investigated the classification of motorized and nonmotorized traffic travel in various road environments; however, the classification of walking and bicycle modes in nonmotorized travel has been largely ignored. Therefore, in this paper, we investigate nonmotorized traffic travel and propose a new low-cost nonmotorized traffic travel mode classification system, known as the Wi-Fi classification (Wi-CL) system that uses Wi-Fi signal detectors and the refined characteristics of nonmotorized travel modes. The Wi-CL system includes four modules: data acquisition module, data processing module, feature extraction module, and mode classification module. In the data acquisition module, the proposed system detects the Wi-Fi signals of traffic participants in road environments. In addition, we propose a received signal strength indicator (RSSI) filtering algorithm for hybrid traffic networks that effectively addresses surrounding obstacles and environmental noise. In the feature extraction module, we extract relevant traffic features to construct a mode classification model. Finally, a recurrent neural network (RNN) framework based on the long short-term memory (LSTM) algorithm is successfully implemented in the mode classification module for traffic travel mode identification. To validate the effectiveness of the Wi-CL system, extensive experiments were conducted using field data collected by Wi-Fi detectors installed at the South China University of Technology (SCUT). The experimental results show that the proposed RSSI filtering algorithm achieves excellent signal filtering results in real road traffic environments. In addition, the constructed travel speed estimation algorithm outperforms other baseline models in four different scenarios (flat-peak walking, midday peak walking, flat-peak cycling, and midday peak cycling), achieving an overall classification accuracy of 97.92%. In summary, our Wi-CL system is a feasible approach for nonmotorized traffic travel mode classification.
TEACHERS’ PEDAGOGICAL COMPETENCE IN TEACHING ENGLISH AT JUNIOR HIGH SCHOOL

This research focuses on pedagogical competence of English teachers’. This research aims to find out pedagogical competence of English teachers in teaching English at SMP Negeri 13 Palu. Data collection techniques used were questionnaire, interview and observation. The observation was used to find out the students perception on the teacher's pedagogical competence in teaching English. The interview was used to determine the pedagogic competence of teachers in teaching English. The observation was also used to see the process of teaching English in the classroom. The result of questionnaire showed that students’ perceive on English teachers’ when teaching English were very good pedagogical competence in mastering the characteristics of students, ability to develop curriculum/syllabus, developing students potential and evaluation of learning outcomes. The results of interviews with four English teachers showed that there were some difficulties in learning they are in the use of technology and developing the potential of students. The results of the observations show that the pedagogic competence of four English teachers in teaching English is in the good. In general, the pedagogical competence of the English teacher at SMP Negeri 13 Palu is generally in good criteria.
Response dimension reduction: model-based approach

ABSTRACT In this paper, a model-based approach to reduce the dimension of response variables in multivariate regression is newly proposed, following the existing context of the response dimension reduction developed by Yoo and Cook [Response dimension reduction for the conditional mean in multivariate regression. Comput Statist Data Anal. 2008;53:334–343]. The related dimension reduction subspace is estimated by maximum likelihood, assuming an additive error. In the new approach, the linearity condition, which is assumed for the methodological development in Yoo and Cook (2008), is understood through the covariance matrix of the random error. Numerical studies show potential advantages of the proposed approach over Yoo and Cook (2008). A real data example is presented for illustration.
Polynomial approximation based learning search

In this paper, polynomial approximation method and theory are introduced into the research of learning search of artificial intelligence. By so doing, a learning search algorithm can, after sufficient number of problem-solving, construct a heuristic estimate function h(.) which uniformly approximates to the optimal estimate function h*(.) by arbitrary precision. One of these learning search algorithms, A-B/sub n/, is described and it is shown that, when the number of the previous problem-solving becomes large enough, the worst-case complexity of A-B/sub n/ can be reduced to O(poly(N)), where N is the length of the optimal solution path, poly(N) is a polynomial function of N. <<ETX>>
Low Complexity Regularizations of Inverse Problems

This thesis is concerned with recovery guarantees and sensitivity analysis of variational regularization for noisy linear inverse problems. This is cast as a convex optimization problem by combining a data fidelity and a regularizing functional promoting solutions conforming to some notion of low complexity related to their non-smoothness points. Our approach, based on partial smoothness, handles a variety of regularizers including analysis/structured sparsity, antisparsity and low-rank structure. We first give an analysis of the noise robustness guarantees, both in terms of the distance of the recovered solutions to the original object, as well as the stability of the promoted model space. We then turn to sensivity analysis of these optimization problems to observation perturbations. With random observations, we build unbiased estimator of the risk which provides a parameter selection scheme.
An update on Nanoparticle Formulation Design of Piperine to Improve its Oral bioavailability: A Review

Piperine, a crystalline alkaloid compound isolated from Piper nigrum, piper longum, and other types of piper, has had many fabulous pharmacological advantages for preventing and treating some specific diseases, such as analgesic, anti-inflammatory, hepatoprotective, antimetastatic, antithyroid, immunomodulatory, antitumor, rheumatoid arthritis, osteoarthritis, Alzheimer's, and improving the bioavailability of other drugs. However, its potential for clinical use through oral usage is hindered by water solubility and poor bioavailability. The low level of oral bioavailability is caused by low solubility in water and is photosensitive, susceptible to isomerization by UV light, which causes piperine concentration to decrease. Many different formulation approaches have been applied to improve the poor oral bioavailability of piperine. There have been oral formulation strategies that have been successfully implemented in increasing the solubility and bioavailability of piperine within the body, such as the formulation of nanoparticles, nanosuspensions, salt formation, liposomes, complexation using polymers, micro/nano-emulsions, and solid dispersions. This review presents a summary of piperine biopharmaceuticals, new formulation design approaches to improve oral bioavailability of piperine, and several techniques and methods for conducting selective and sensitive analysis of piperine in biological fluids.
Iterative Adaption eines Remote-Labors unter Berücksichtigung des Feedbacks der Studierenden

Bei der Konzeption und Realisierung eines Remote-Labors fehlt es wegen der häufig spezifischen Ausprägung auf technischer und didaktischer Ebene an praktikablen Schablonen. Folglich kann die Inbetriebnahme eines Remote-Labors immer nur der Startpunkt einer kontinuierlichen Weiterentwicklung sein, die auf eine Verbesserung der Features und Konfigurationsparameter, der Lehrkonzepte, aber auch kon-kreter Aufgabenstellungen abzielt. Zunächst muss dafür eine geeignete Feedback-strategie entwickelt werden, die die Rückmeldungen und Kritiken der Studierenden systematisch erfasst. In der Analysephase gilt es, entsprechende Stellschrauben zu identifizieren und daraus eine Strategie zur Anpassung des Labors zu entwickeln. Der vorliegende Beitrag beschreibt dieses Vorgehen anhand eines Remote-Labors für eingebettete Systeme, das in einem Zeitraum von drei Jahren ausgehend von einer Vorgängerinstallation weiterentwickelt wurde. Grundlage der Anpassungen waren quantitative Befragungen der Studierenden, qualitative Interviews mit Studierenden und Tutor*innen sowie die Analyse der Nutzer*innendaten. Im Ergebnis zeigte sich, dass neben der Korrektur vermeintlich intuitiver Lösungen auch konzeptionell sub-stanziell adaptiert werden musste.
A hybrid of Information gain and Coati Optimization Algorithm for gene selection in microarray gene expression data classification

Gene expression data has become an essen2al tool for cancer classiﬁca2on because it provides substan2al insights into the underlying mechanisms of cancer progression. However, the high-dimensional nature of microarray gene expression data presents a signiﬁcant challenge. This paper introduces a new method called IG-COA, which combines Informa2on Gain (IG) approach and Coa2 Op2miza2on Algorithm (COA), to iden2fy the biomarkers genes. COA is a recent algorithm that has not been previously examined for feature or gene selec2on, to the best of our knowledge. Firstly, the IG method is used because using COA directly on microarray datasets is ineﬀec2ve and can make it challenging to train a classiﬁer accurately. Secondly, the COA algorithm is u2lized to select the op2mal subset of genes from the previously selected ones. The eﬀec2veness of the suggested IG-COA method with a Support Vector Machine is tested on several microarray gene expression datasets, and it exceeds other state-of-the-art methods.
Niche conservatism over deep timescales and diverse niche axes in land vertebrates

Aim: There has been considerable interest in niche conservatism, the idea that ecological variables are similar among related species. Much research has focused on climatic niches of recently diverged species, rather than deeper timescales or non-climatic niche axes. Furthermore, it has been suggested that conservatism disappears over deeper timescales, and is greater in alpha niche traits (like diet and microhabitat) than beta niche variables (like climate). Here, we test these latter two ideas by comparing patterns of phylogenetic conservatism among 10 niche variables across major clades of land vertebrates.
Semi-Simultaneous Flows and Binary Constrained (Integer) Linear Programs

Linear and integer programs are considered whose coefficient matrices can be partitioned into K consecutive ones matrices. Mimicking the special case of K=1 which is well-known to be equivalent to a network flow problem we show that these programs can be transformed to a generalized network flow problem which we call semi-simultaneous (se-sim) network flow problem. Feasibility conditions for se-sim flows are established and methods for finding initial feasible se-sim flows are derived. Optimal se-sim flows are characterized by a generalization of the negative cycle theorem for the minimum cost flow problem. The issue of improving a given flow is addressed both from a theoretical and practical point of view. The paper concludes with a summary and some suggestions for possible future work in this area.
Parvovirus B19 Infection: A Vasculitis Masquerade in an Elderly Patient

Patient: Male, 78-year-old Final Diagnosis: Human parvovirus B19 infection Symptoms: Fever • edema • skin rash Clinical Procedure: None Specialty: Immunology • Infectious Diseases • General and Internal Medicine • Microbiology and Virology Objective: Unusual clinical course Background: The profound ability of viral infections to convincingly mimic vasculitis, thereby pathologically influencing vessels of any caliber, is undeniably significant. Notably, adult patients with B19V infection frequently experience joint pain and cutaneous eruptions, which are ostensibly immune responses to the infection and necessitate careful differentiation from autoimmunity. Conversely, vasculitis syndromes represent an amalgamation of diseases characterized by vascular inflammation, predominantly classified based on the impacted vessels’ size and location. Although the expedited diagnosis and therapeutic management of vasculitis are paramount, many conditions, including infectious diseases, can potentially masquerade as vasculitis, necessitating rigorous differential diagnosis. Case Report: A 78-year-old male patient presented with fever, bilateral leg edema, skin rash, and foot numbness to the outpatient department. Blood investigations showed elevated inflammatory parameters, and urinalysis showed proteinuria and occult blood presence. We considered SVV, particularly microscopic polyangiitis, which causes acute renal injury, as the provisional diagnosis. Blood investigations, including auto-antibodies and a skin biopsy, were performed. However, his clinical symptoms resolved spontaneously before these investigation results were reported. Subsequently, the patient was diagnosed with B19V infection based on B19V immunoglobulin M antibody positivity. Conclusions: B19V infection mimics vasculitis. Even in geriatric patients, particularly during B19V infection outbreaks, clinicians should conduct thorough interviews and examinations while contemplating the likelihood of B19V infection as a potential vasculitis mimic.
Social triangles and generalized clustering coefficient for weighted networks

A way to measure the community structure of a network is the clustering coefficient. Such a quantity is based on the number of existing triangles around the nodes over the theoretical ones. To the best of our knowledge, scarce attention has been paid to the fictitious triangles due to the presence of indirect connections among the nodes of the network. This paper fills this gap by providing a new definition of the clustering coefficient for weighted networks when missing links might be also considered. Specifically, a novel concept of triangles is here introduced by assuming that a strong enough aggregate weight of two arcs sharing a node induces a link between the not common nodes. Beyond the intuitive meaning of such social triangles, we also explore the usefulness of them for gaining insights on the topological structure of the underline network. Empirical experiments on the standard networks of 500 commercial US airports and on the nervous system of the Caenorhabditis elegans support the theoretical framework.