Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultraljudsundersökningar i huvud- och halsregionen

tandläkartidningen årg 101 nr 2 2009 Tandläkaren har länge varit sin egen radiolog och diagnostiserat sjukdomstillstånd i tänder och omkringliggande benvävnad. I dag remitterar många tandläkare i Norden till oral eller medicinsk radiolog för utvidgade radiologiska undersökningar där det är aktuellt med mer avancerade metoder för att påvisa allvarliga sjukdomstillstånd i skelett och mjukvävnad. Ultraljudsundersökningar har använts som metod i medicinsk diagnostik sedan i början av 1950-talet, då Wild och Reid [1] och Howry och Bliss [2] lyckades avbilda inre organ med hjälp av ultraljud. I dag används ultraljudsundersökningar speciellt i samband med graviditetsdiagnostik och diagnostik av bröstcancer, och mer generellt i diagnostik av inre organ och mjukvävnad, som stora blodkärl, muskulatur, nervvävnad och körtlar. Typiska vävnadskaraktäristika gör ultraljudsundersökningar lämpliga för att klassificera inflammatoriska, neoplastiska, kongenitala, traumatiska och vaskulära lesioner. Dessutom är ultraljud en utmärkt undersökningsmetod för att lokalisera lesioner och för att följa lesioners progression och regression. I huvudoch halsområdet har ultraljudsundersökningar hittills mest använts för diagnostik av spottkörtlar [3–5] och tumörer [6–9], men har på senare tid också använts i samband med diagnostik av käkleder [10–12] och vid bedömning av svullnader i ansiktsmuskulaturen [13].
A Refined Fuzzy Min–Max Neural Network With New Learning Procedures for Pattern Classification

The fuzzy min–max (FMM) neural network stands as a useful model for solving pattern classification problems. FMM has many important features, such as online learning and one-pass learning. It, however, has certain limitations, especially in its learning algorithm, which consists of the expansion, overlap test, and contraction procedures. This article proposes a refined fuzzy min–max (RFMM) neural network with new procedures for tackling the key limitations of FMM. RFMM has a number of contributions. First, a new expansion procedure for overcoming the problems of overlap leniency and irregularity of hyperbox expansion is introduced. It avoids the overlap cases between hyperboxes from different classes, reducing the number of overlap cases to one (containment case). Second, a new formula that simplifies the original rules in the overlap test is proposed. It has two important features: (i) identifying the overlap leniency problem during the expansion procedure; (ii) activating the contraction procedure to eliminate the containment case. Third, a new contraction procedure for overcoming the data distortion problem and providing more accurate decision boundaries for the contracted hyperboxes is proposed. Fourth, a new prediction strategy that combines both membership function and distance measure to prevent any possible random decision-making during the test stage is proposed. The performance of RFMM is evaluated with the UCI benchmark datasets. The results demonstrate the effectiveness of the proposed modifications in making RFMM a useful model for solving pattern classification problems, as compared with other existing FMM and non-FMM classifiers.
Erratum to "Comparative Assessment of Affinity-Based Techniques for Oriented Antibody Immobilization towards Immunosensor Performance Optimization"

In the article titled “Comparative Assessment of AffinityBased Techniques for Oriented Antibody Immobilization towards Immunosensor Performance Optimization” [1], the “Acknowledgments” should be modified as follows: Theworkwas supported by the EU-fundedH2020 project ICT-BIOCDx (Contract No. 732309) and through the IKY scholarships program which is cofinanced by the European Union (European Social Fund, ESF) andGreek national funds through the action entitled “Reinforcement of Postdoctoral Researchers”, in the framework of the Operational Program “Human Resources Development Program, Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) 2014–2020. Additionally, there was an error in the second affiliation, where “Hroon Polytechneiou” should be “Iroon Polytechniou”.
Biomimicry in Bio-Manufacturing: Developments in Melt Electrospinning Writing Technology Towards Hybrid Biomanufacturing

Melt electrospinning writing has been emerged as a promising technique in the field of tissue engineering, with the capability of fabricating controllable and highly ordered complex three-dimensional geometries from a wide range of polymers. This three-dimensional (3D) printing method can be used to fabricate scaffolds biomimicking extracellular matrix of replaced tissue with the required mechanical properties. However, controlled and homogeneous cell attachment on melt electrospun fibers is a challenge. The combination of melt electrospinning writing with other tissue engineering approaches, called hybrid biomanufacturing, has introduced new perspectives and increased its potential applications in tissue engineering. In this review, principles and key parameters, challenges, and opportunities of melt electrospinning writing, and particularly, recent approaches and materials in this field are introduced. Subsequently, hybrid biomanufacturing strategies are presented for improved biological and mechanical properties of the manufactured porous structures. An overview of the possible hybrid setups and applications, future perspective of hybrid processes, guidelines, and opportunities in different areas of tissue/organ engineering are also highlighted.
Clinical test of sphingomyelin concentrate from bovine milk for skin.

We investigated eŠects of bovine milk derived dietary sphingomyelin (SPM) concentrate on skin. A placebo-control double-blind study of the 6week oral intake of the SPM concentrate (330 mg/day; SPM 22 mg/day) was conducted on 25 individuals. The eŠect of SPM concentrate on skin was measured by skin hydration, transepidermal water loss and sebum production at a day before intake, after 3 weeks and 6 weeks, and at 2 weeks after completion of the trial. We found that the skin hydration in the SPM group was signiˆcantly higher than that in the placebo group. The sebum production in the SPM group tended to be higher on the part under the left eye. Answers to questionnaires revealed that the skin elasticity and re‰ectance in the SPM group tended to improve. These results indicate that the dietary SPM concentrate improves the skin function.
Investigation of Hot-Carrier Degradation in 0.18- $\mu$ m MOSFETs for the Evaluation of Device Lifetime and Digital Circuit Performance

In this work, we investigate the hot-carrier reliability in $0.18{\mu}\text{m}$ MOSFET technology that is being extensively employed in various analog/digital applications. Hot-carrier degradation in MOSFETs is known to follow power-law relation where the time exponent of the degradation curve can be utilized to quantify the device ageing. Here, we examine the dependency of time power-law exponent on different gate stress bias to determine the physical mechanism responsible for device degradation. Extensive consideration is given to the maximum impact ionization condition Vgs=Vds/2 and maximum hot-electron injection condition Vgs=Vds. Time evolution of degradation curve depicts changing slope with increasing stress duration. This variation in time power-law exponent over different stress time intervals is an important indicator of changing degradation mechanism as the device ages. Since the operating conditions for a device directly relates to its targeted application, therefore DC lifetime prediction under the influence of different Vgs/Vds stress bias combinations is performed to determine the limiting case challenging the circuit integrity. Also, the impact of hot-carrier degradation on the circuit delay under the aforementioned stress conditions is evaluated for typical digital CMOS circuits. Effective switching current methodology is employed for the delay analysis in transistor stacks that comprise inverter, NAND, and NOR circuits to show the adverse effects of the damage caused by the hot-carriers.
AN OVERVIEW STUDY ON THE LASER TECHNOLOGY AND APPLICATIONS IN THE MECHANICAL AND MACHINE MANUFACTURING INDUSTRY

Laser is considered one of the most influential inventions in the twentieth century and laser technology has been contributing in many areas of life. Today, in any field of manufacturing, laser technology also presents value and brings a range of specific benefits to the field such as machine manufacturing and mechanical tools. Thanks to the cutting edge cleaning ability, delicate welding lines, strong etching strokes, high power operation, accurate distance measurement capability, laser technology has gradually conquered and dominated the mechanical market, especially in the field of material handling, metal parts. Using lasers to cut metal creates highly detailed and continuous details, lines, shapes, patterns . that open new avenues for the mechanical and machine-building industry. Using laser engraving machines, it will process complex and sophisticated details, saving time and manpower costs. High processing speed, smooth cutting surface and easy programming are the advantages that laser cutting technology offers to this industry. Lasers can be cut on different sheet metal or tubular surfaces at extremely fast speeds on tools, machine parts and even small-sized cutting workpieces. This paper will present an overview of laser technology and its common applications in the mechanical and machine-building industry. The analysis and evaluation in this paper will provide an update on the level of development of laser technology in the current industry age 4.0. In addition, it is a common picture and achievements of the machine manufacturing industry achieved with the support of "Light Amplification by Stimulated Emission of Radiation".
Large-Scale Point Cloud Contour Extraction via 3-D-Guided Multiconditional Residual Generative Adversarial Network

As one of the most important features for human perception, contours are widely applied in graphics and mapping applications. However, it is considerably challenging to extract contours from large-scale point clouds due to the irregular distribution of point clouds. In this letter, we propose a 3-D-guided multiconditional residual generative adversarial network (3-D-GMRGAN), the first deep-learning framework to generate contours for large-scale outdoor point clouds. To make the network handle huge amounts of points, we operate contours in the parametric space rather than raw point space, associated with a parametric chamfer distance. Then, to gather contour features from potential positions and avoid the huge solution space, we propose a guided residual generative adversarial framework, by utilizing a simple feature-based method to get the “over extraction” potential contour distribution. Experiments demonstrate that the proposed method is able to generate contours efficiently for large-scale point clouds, with fewer outliers and pseudo contours compared with state-of-the-art approaches.
Estimation of the Geoacoustic Properties of the New England Mud Patch From the Vertical Coherence of the Ambient Noise in the Water Column

The autonomous passive-acoustic lander Deep Sound was deployed at five locations during the Office of Naval Research (ONR)-supported Seabed Characterization Experiment, a multi-institutional field effort held at the New England Mud Patch, where the seabed is known to consist of a thick layer of silt and clay overlying a medium and coarse sand. The five deployments of Deep Sound were up to 9 h long, during which time ambient noise data, taken over an acoustic bandwidth of 5 Hz–30 kHz, were collected on four hydrophones arranged in an inverted “T” shape. Local temperature and conductivity were also recorded continuously at each location. A wave number integral model of wind-driven noise in a fluid waveguide over a two-layered elastic seabed was used to calculate the dependence of the vertical noise coherence on the geoacoustic properties in the overlying silt and clay layer, as well as the subbottom sand half-space. The modeled noise coherence was fitted to the data over the band 100 Hz–12 kHz, returning the compressional- and shear-wave speeds and densities of both layers and the thickness of the top layer.
Modelagem do fenômeno da detonação aplicada ao motor de combustão flex

O fenômeno de combustão, conhecido como detonação (knock), causa danos ao motor de combustão interna e, portanto, deve ser evitado. A unidade de controle do motor ECU (Engine Control Unit), ao detectar indícios que a detonação ocorreu durante a combustão, atua sobre o ângulo de ignição de forma a atrasá-lo, evitando que a detonação ocorra. Trabalha-se, portanto, em um ângulo de ignição diferente do ótimo (maximum brake torque timing), chamado de ângulo de limiar, o IKT (incipient knock timing), acarretando perdas de potência. A detonação não é um fenômeno completamente determinístico, uma vez que a própria pressão dentro do cilindro varia de ciclo para ciclo. Desse modo, o foco de se modelar a detonação é prever a intensidade e a probabilidade de sua ocorrência dada a condição de operação e do combustível utilizado pelo motor, pois, cada tipo de combustível tem uma dada condição limite a partir da qual a detonação ocorre. Neste artigo é feito um estudo da probabilidade de ocorrência da detonação e a sua intensidade em função da condição de operação do motor, feito através da análise do sinal do sensor.
The algebraic geometry of photonic topological insulators

Topological insulators are generally characterized by means of integral invariants defined using cocycles over the Bloch bundle (e.g.: Chern or Stiefel characteristic classes). In the case of photonic topological insulators made of continuous media, I will show that the invariants result from the consideration of a projective algebraic curve (the spectral curve) and of the bundle of eigenvectors over it. The main result is that photonic Chern insulators do not exist in continuous media
Design of a Solid-State Circuit Breaker for a DC Grid-Based Vessel Power System

Electric propulsion and integrated hybrid power systems can improve the energy efficiency and fuel consumption of different kinds of vessels. If the vessel power system is based on DC grid distribution, some benefits such as higher generator efficiency and lower volume and cost can be achieved. However, some challenges remain in terms of protection devices for this kind of DC grid-based power system. The absence of natural zero crossing in the DC current together with the fast and programmable breaking times required make it challenging. There are several papers related to DC breaker topologies and their role in DC grids; however, it is not easy to find comprehensive information about the design process of the DC breaker itself. In this paper, the basis for the design of a DC solid-state circuit breaker (SSCB) for low voltage vessel DC grids is presented. The proposed SSCB full-scale prototype detects and opens the fault in less than 3 µs. This paper includes theoretical analyses, design guidelines, modeling and simulation, and experimental results.
Plant Fibers and Phenolics: A Review on Their Synthesis, Analysis and Combined Use for Biomaterials with New Properties

Devising environmental-friendly processes in biotechnology is a priority in the current economic scenario. We are witnessing a constant and steady push towards finding sustainable solutions to societal challenges by promoting innovation-driven activities minimizing the environmental impact and valorizing natural resources. In bioeconomy, plants are among the most important renewable sources of both fibers (woody and cellulosic) and phytochemicals, which find applications in many industrial sectors, spanning from the textile, to the biocomposite, medical, nutraceutical, and pharma sectors. Given the key role of plants as natural sources of (macro)molecules, we here provide a compendium on the use of plant fibers functionalized/impregnated with phytochemicals (in particular phenolic extracts). The goal is to review the various applications of natural fibers functionalized with plant phenolics and to valorize those plants that are source of both fibers and phytochemicals.
INTRODUCTION TO THE NATIONAL AEROSOL CHEMICAL COMPOSITION MONITORING NETWORK OF CHINA

China is a big anthropogenic emission source in the world and contributes approximately 18%–35% of the global air pollutant emissions (Hosely et al. 2018). A large quantity of anthropogenic emissions released into atmosphere results in deterioration of air quality and threat of human health (Nel 2005). The Northern China Plain (NCP) is one of the major emission regions in China and extremely high PM2.5 pollution (haze; PM2.5 is particulate matter that is smaller than 2.5 μm in diameter) frequently occurs in winter. Over the last decades, many studies characterized chemical compositions and physical properties of aerosols, and quantified the potential sources of PM2.5 in haze events (Sun et al. 2006; Guo et al. 2014; Huang et al. 2014; Li and Zhang 2014; Zhao et al. 2013; An et al. 2019). These studies concluded that haze in the NCP region is a complex air pollution problem and its formation was attributed to many reasons. High
Fatores influentes para a adesão de alunos a sistema de carona dinâmica em campus universitário

Este artigo objetiva a investigação dos fatores que influenciam a oferta de carona por alunos do Campus Recife da Universidade Federal de Pernambuco. Investigam-se os critérios relevantes para a adesão a um hipotético sistema dinâmico de caronas. São ainda sugeridas medidas mais eficazes para ampliação do uso dessa alternativa de transporte. O método de análise utilizado foi a Regressão Logística. Os resultados obtidos mostram que fatores mutáveis, inerentes ao arranjo da carona, e psicológicos estão relacionados ao modo dinâmico. Enquanto o único critério fixo que afeta a probabilidade de uso do sistema proposto é o sexo do usuário, seis critérios intrínsecos do próprio sistema apresentam-se significativos: i) perfil do usuário; ii) possibilidade de ser passageiro através do sistema; iii) questões ambientais; iv) maior interação social; v) redução da flexibilidade; e vi) compartilhar viagens com desconhecidos. Conclui-se que o uso da carona pode ser aumentado a partir de sistemas de caronas dinâmicas. Além disso, junto às plataformas de conexão, é importante que sejam adotadas políticas de caráter informativo e educacional.
A Low-EMI Continuous-Time Delta-Sigma-Modulator Buck Converter With Transient Response Eruption Techniques

This article proposes a low spurious noise and fast-transient-response buck converter with second-order continuous-time delta-sigma modulator (CT-DSM). The DSM technique has the superiority of oversampling and the characteristics of noise shaping to reduce spurious noise and speed up transient response. Moreover, the transient response eruption technique uses a dynamic current compensator to accelerate the transient response. Therefore, the proposed CT-DSM buck converter reduces spurious noise, reduces the output harmonic tones, and accelerates transient response, but it keeps high efficiency, low noise, and low ripple of the traditional switching converter. The proposed DSM buck converter is fabricated in TSMC $\text{0.35}\ \mu\text{m}$ 2P4M CMOS process with a chip area of 1.32 ×1.38 mm. The measurement results show that the peak noise power is −70 dBm across output spectrum, which is −10 dBm lower than a traditional CT-DSM buck converter. When the load current changes from 50 to 500 mA and from 500 to 50 mA, the transient responses are both 4 μs, which are 7 μs faster than the traditional CT-DSM buck converter. The maximum output overshoot voltage is 20 mV, the output voltage ripple is 10 mV, and the conversion peak efficiency is 90.4% at the output voltage of 2.4 V. These characteristics keep the same performances as or even better than the traditional CT-DSM buck converter.
Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data

Among the inherited blood disorders in Southeast Asia, thalassemia is the most prevalent. Thalassemias are pathologies that derive from genetic defects of the globin genes. Thalassemia is also considered a health burden among the world’s population. Thalassemia cannot be cured, but there is a method to prevent the occurrence of thalassemia by early detection with screening. The aim is to identify the suspected unrecognised diseases in a population that seems healthy and asymptomatic using tests, examinations, or other procedures that can be applied quickly and easily to the target population. Research on thalassemia has been done extensively, such as testing the accuracy of β-thalassemia data in Thailand using the Bayesian Network and Multinomial Logistic Regression. In this study, we will compare the performance of the classification of thalassemia data by Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means. The author uses thalassemia data from Indonesia, acquired from Harapan Kita Children and Womens’s Hospital, Jakarta, that consists of 82 thalassemia samples from the patients of thalassemia and 68 non-thalassemia samples with 11 features. In total, there are 150 data patients used in this paper. The results show the accuracy of the classification. The accuracy of FCM is 100% when training data is 90%, FRCM is 100% when training data is 90%, and FKRCM, which is the modified Fuzzy, 100% when we use the and 80% & 90% training data. This result denote that Fuzzy C-Means, Fuzzy Robust C-Means, and Fuzzy Kernel Robust C-Means perfectly classify thalassemia data from Indonesia.
Design of Continuous Polyharmonic-Tuned Power AmpliEr with Optimal Knee Voltage Parameter

This paper presents the design of a continuous polyharmonic-tuned mode (CPHTM) power amplifier (PA) with an introduced optimal knee voltage waveform control parameter in a continuous harmonic-tuned voltage waveform equation. The optimal knee voltage waveform control parameter works in unison with derived equations, providing bandwidth and efficiency potentials over the limiting factors of the conventional harmonic-tuned power amplifiers (PAs). The effectiveness of the design strategy is proven by the realisation of a CPHTM type-I (CPHTMT-I) PA as compared with a non-continuous polyharmonic-tuned mode type-II (NCPHTMT-II) PA. Test results with continuouswave (CW) signals show drain efficiency (DE) levels within 53.6%–79% (1.31–2.39 GHz) with 58.4% fractional bandwidth for CPHTMT-I and 64%–78% (1.65–1.95 GHz) with 16.7% fractional bandwidth for NCPHTMT-II. The CW result evidently shows the validation and efficacy of the proposed theory.