Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual in vivo Photoacoustic and Fluorescence Imaging of HER2 Expression in Breast Tumors for Diagnosis, Margin Assessment, and Surgical Guidance

Biomarker-specific imaging probes offer ways to improve molecular diagnosis, intraoperative margin assessment, and tumor resection. Fluorescence and photoacoustic imaging probes are of particular interest for clinical applications because the combination enables deeper tissue penetration for tumor detection while maintaining imaging sensitivity compared to a single optical imaging modality. Here we describe the development of a human epidermal growth factor receptor 2 (HER2)-targeting imaging probe to visualize differential levels of HER2 expression in a breast cancer model. Specifically, we labeled trastuzumab with Black Hole Quencher 3 (BHQ3) and fluorescein for photoacoustic and fluorescence imaging of HER2 overexpression, respectively. The dual-labeled trastuzumab was tested for its ability to detect HER2 overexpression in vitro and in vivo. We demonstrated an over twofold increase in the signal intensity for HER2-overexpressing tumors in vivo, compared to low–HER2-expressing tumors, using photoacoustic imaging. Furthermore, we demonstrated the feasibility of detecting tumors and positive surgical margins by fluorescence imaging. These results suggest that multimodal HER2-specific imaging of breast cancer using the BHQ3-fluorescein trastuzumab enables molecular-level detection and surgical margin assessment of breast tumors in vivo. This technique may have future clinical impact for primary lesion detection, as well as intraoperative molecular-level surgical guidance in breast cancer.
Flexibly modeling the baseline risk in meta‐analysis

This paper investigates a likelihood‐based approach in meta‐analysis of clinical trials involving the baseline risk as explanatory variable. The approach takes account of the errors affecting the measure of either the treatment effect or the baseline risk, while facing the potential misspecification of the baseline risk distribution. To this aim, we suggest to model the baseline risk through a flexible family of distributions represented by the skew‐normal. We describe how to carry out inference within this framework and evaluate the performance of the approach through simulation. The method is compared with the routine likelihood approach based on the restrictive normality assumption for the baseline risk distribution and with the weighted least‐squares regression. We apply the competing approaches to the analysis of two published datasets. Copyright © 2012 John Wiley & Sons, Ltd.
An Automatic Data Clustering Algorithm Based on Differential Evolution

As one of the traditional optimization problems, clustering still plays a vital role for the researches both theoretically and practically nowadays. Although many successful clustering algorithms have been presented, most (if not all) need to be given the number of clusters before the clustering procedure is invoked. A novel differential evolution based clustering algorithm is presented in this paper to solve the problem of determining the number of clusters automatically. The proposed algorithm leverages the strengths of two technologies: one is a novel algorithm for finding the approximate number of clusters while the other is a heuristic search algorithm for automatic clustering. The experimental results show that the proposed algorithm can not only determine the approximate number of clusters automatically, but it can also provide more accurate results.
Size and Democracy Revisited A Critical Discussion of the Claimed Trade-off between Problem-Solving Capacity and Citizen Participation

Classic literature on size and democracy argues that there is a trade-off between opportunities for broad citizen participation and communities’ ability to deal effectively with the challenges faced by their locality. Consequently, smaller political units enrich democracy, while larger units strengthen the capacity to govern. We argue that although the trade-off may be relevant within a framework concentrating on representative democratic institutions, the trade-off is questionable in the light of more recent contributions on democratic, network-based governance. The article develops this argument, and suggests elements that should be included in a revised theory of municipal size.
Applying antenna synthesis methods on a path based MIMO channel model for verification

In this paper multiple input multiple output (MIMO) channel samples are generated by the use of a simple channel model that allows for arbitrary selection of the propagation paths. The distributions of direction of departure (DOD), direction of arrival (DOA) and phases and amplitudes can be selected for each path. The antenna array geometry and the antenna element radiation patterns are also included and can be chosen arbitrarily. An antenna synthesis method that is based on eigenbeamforming is then applied to the simulated channels. It is the optimal solution of the considered antenna synthesis problem that maximizes ergodic channel capacity. The resulting fixed synthesized antenna radiation patterns are evaluated in terms of their matching effect to the predominant directions of the transmission channel afterwards. The results show that the channel model is beneficial for the development of antenna synthesis methods. It includes all parameters necessary for the design and evaluation of antenna synthesis methods and still has a low complexity.
PERBEDAAN KADAR HEMOGLOBIN MENGGUNAKAN Hb METER, SPEKTROFOTOMETER DAN HEMATOLOGY ANALYZER PADA SAMPEL SEGERA DIPERIKSA DAN DITUNDA 20 JAM

Pemeriksaan kadar hemoglobin dipengaruhi faktor pra analitik, analitik dan paska analitik. Faktor pra analitik antara lain penyimpanan, suhu dan lamanya penyimpanan. Penyimpanan darah EDTA harus dijaga pada suhu 2-8°C untuk menjaga kemampuan darah menyalurkan oksigen dan mengurangi pertumbuhan bakteri yang mengkontaminasi darah simpan. Batas penyimpanan 2°C sangat penting, karena eritrosit sangat sensitif terhadap pembekuan, sehingga dinding sel darah akan pecah dan hemoglobin akan keluar atau hemolisis. Pemeriksaan hemoglobin pada kegiatan ANC di Puskesmas Pulokulon I dilakukan ± 20 jam setelah pengambilan sampel. Penundaan sampel dikhawatirkan akan memberikan hasil yang kurang akurat sehingga dilakukan pemeriksaan menggunakan hb meter. Penelitian bertujuan mengetahui perbedaan kadar hemoglobin menggunakan hb meter, spektrofotometer dan hematology analyzer pada sampel segera diperiksa dan ditunda 20 jam suhu 2-8oC. Jenis penelitian analitik, dengan rancangan penelitian acak tes akhir dan kelompok kontrol. Pemeriksaan kadar hemoglobin dilakukan segera, tunda 20 jam dengan penyimpanan suhu 2- 8°C. Hasil penelitian diperoleh kadar hemoglobin segera diperiksa Hb meter, spektrofotometer dan hematology analyzer secara berturut turut 11,50 g/dL, 12,98 g/dL, dan 11,70 g/dL.Kadar hemoglobin ditunda 20 jam secara berturut turut 12,63 g/dL, 12,03 g/dL, dan 12,13 g/dL. Uji Paired t Test terdapat perbedaan bermakna pada kadar hemoglobin segera dengan ditunda 20 jam pada suhu 2-8°C. Kata kunci : hemoglobin, EDTA segera, EDTA ditunda
Doherty linear power amplifiers for mobile handset applications

Two Doherty amplifiers are designed in MMIC form, which are fabricated using a commercial InGaP/GaAs HBT foundry process. The one is classical Doherty type amplifier with the size ratio of main device and auxiliary device of N=l, and the other is an extended Doherty with the size ratio of N=3. The input and output circuits are made using hybrid circuit, forming power amplifier modules. The efficiencies are improved about 18.8% at Pout = 23 dBm, about 5 dB backed-off point, from the size ratio N=l amplifier, and about 21% at Pout = 18.6 dBm, about 10 dB backed-off point, from the size ratio N=3 one. We have extended the technology to the fully integrated power amplifier chip. The amplifier shows an output power of 22.5 dBm and a power-added efficiency (PAE) of 21.3% at an error vector magnitude (EVM) of 5%, measured with 54 Mbps 64-QAM- OFDM signals at 5.2 GHz.
Fermentation dynamics and bacterial diversity of mixed lucerne and sweet corn stalk silage ensiled at six ratios

The fermentation dynamics and bacterial diversity of mixed lucerne (LU) and sweet corn stalk (SS) silage ensiled at six ratios were evaluated. LU and SS, harvested at 187 and 222 g/kg dry matter, respectively, were chopped to a length of about 1 cm and mixed in the fresh weight proportions of 10:0, 8:2 (Mix 1), 6:4 (Mix 2), 4:6 (Mix 3), 2:8 (Mix 4) and 0:10. Silos of each ratio were prepared in triplicate and stored at ambient conditions for 5, 10, 15, 30 and 65 days. The fermentation profile of silage during storage was determined at each point, and the bacterial diversity of silage stored for 65 days was analysed by high‐throughput sequencing. The silages with more SS inclusion in the forage mixtures were higher in lactic acid and lower in butyric acid and ammonia N, regardless of storage time. After 65 days of storage, Lactobacillus (relative abundance, 91.36%–95.86%) dominated the bacterial community in Mix 3, Mix 4 and SS silages, whereas the community composition in LU, Mix 1 and Mix 2 silages was complex, mainly consisting of Lactobacillus (45.48%–61.01%), Enterobacter (11.09%–19.57%) and Weissella (10.44%–14.13%). Inclusion of SS significantly enhanced the fermentation characteristics, and remarkably improved the bacterial community structure, reflected by increasing the relative abundance of Lactobacillus and reducing the relative abundance of Enterobacter and Pantoea. The fermentation quality was better when LU was ensiled in a mixture with ≥ 40% SS.
Switching Loss Analysis Considering Parasitic Loop Inductance With Current Source Drivers for Buck Converters

In this letter, the switching loop inductance was investigated on the current-source drivers (CSDs). The analytical model was developed to predict the switching losses. It is noted that although the CSDs can greatly reduce the switching transition time and switching loss, the switching loop inductance still causes the current holding effect on the CSDs. This results in high turn-off loss for the control MOSFET in a buck converter. An improved layout was proposed to achieve minimum switching loop inductance. The experimental results verified the significant switching loss reduction owing to the proposed layout of a 1-MHz buck converter with 12-V input, and 1.3-V and 30-A output.
Description Logics with Fuzzy Concrete Domains

We present a fuzzy version of description logics with concrete domains. Main features are: (i) concept constructors are based on t-norm, t-conorm, negation and implication; (ii) concrete domains are fuzzy sets; (iii) fuzzy modifiers are allowed; and (iv) the reasoning algorithm is based on a mixture of completion rules and bounded mixed integer programming.
Reduced Complexity Turbo Multi User Detection for a CDMA System Using M-ary PSK

In CDMA systems, turbo multi user detection for multiple access interference cancellation and channel decoding in CDMA systems has an exponentially growing complexity with number of users. In these systems, when bandwidth efficient modulations like M-ary PSK are used another exponential factor that is relates to the levels of modulation prohibitively increases the computational complexity of the receiver. In this paper we have examined a symbol based reduced complexity multi user detector, for coded and un-coded CDMA system, with a performance very near to optimal detector while having extremely low complexity. We have introduced a design formula for the required Hamming distance value for no loss in performance. Simulation results of coded and un-coded CDMA system verify the performance of our reduced complexity detector that we expect.
A stock market forecasting support system based on fuzzy logic

Interviews with portfolio managers suggests that a stock market forecasting support system should have a general model, which the users can refine to match their personal needs and beliefs The model should offer interactive problem solving and justification of its conclusion, and be able to process expert knowledge which is typically uncertain and vague. Fuzzy logic is capable of storing uncertain and vague knowledge and providing a declarative, interactive and explanatory prediction. Potential benefits of a fuzzy logic forecast support are: better decision making due to the model-based approach, knowledge management, and knowledge accumulation. The paper presents a general approach to stock market prediction and introduces an architecture of a fuzzy logic forecasting support system. The system architecture supports easy modification of the knowledge base, facilities to trace problem solving, and simulation. Evaluation of the implementation demonstrates the system's functionality. <<ETX>>
Development and optimization of Etoposide loaded nanoparticles by using DoE response surface central composite design

Cancer is a leading cause of death globally. The World Health Organizationestimates that 9.6 million people died of cancer in 2018. More than 70% of all cancer deaths occur in low- and middle-income countries, where resources available for prevention, diagnosis and treatment of cancer are limited or nonexistent. Present investigation aimed at formulation and optimization of nanoparticles with Etoposide, an anticancer drug. Design Expert software is used for optimization. A randomised response surface design was used for optimization procedure. Stirring speed and crosslinking agent concentration are the independent variables for the dependant variables of particle size and drug loading. Statistical data of the dependent variables obtained were subjected to the analysis of variance and were found significant at p<0.001 for particle size and at p<0.0001 for drug loading. Encapsulation efficiency of the NPs was evaluated and they were found to be between 65.87±2.78 - 88.95±1.09. The prepared NPs are with the minimum size of 98±8.76nm and a maximum size of 786.24±6.89nm. Through factorial design, it was optimised that 500rpm (at a level of 1) and the maximum concentration of glutaraldehyde at 25% (at a level of 1) will result a least mean particle size of 150.13nm and maximum drug loading of 86.24%.
A Novel Decoupled Interconnecting Method for Current-Source Converter-Based Offshore Wind Farms

This paper presents a novel interconnecting approach for the permanent-magnet synchronous generator-based offshore wind farm, where cascaded pulsewidth modulated (PWM) current-source converters (CSCs) are employed on both generator- and grid-side. The total numbers of cascaded PWM CSCs for the onshore grid connection are equal to the number of wind generators installed in the wind farm. The proposed interconnecting method enables simple configuration without the need for a bulky and costly offshore converter substation. Furthermore, a new decoupled control scheme for the independent active and reactive power control with variable dc-link current regulation is developed for the grid-side converters. The key feature of the control scheme is that the minimized dc-link current control is achieved without the use of a long-distance communication link. Both simulation and experimental results are provided to verify the effectiveness of the proposed control scheme.
Asymmetric Wafer-Level Polyimide and Cu/Sn Hybrid Bonding for 3-D Heterogeneous Integration

A low-temperature wafer-level polyimide/metal asymmetric hybrid bonding structure using Cu/Sn metal and low-curing temperature polyimide is proposed in this paper. The Cu/Sn and polyimide can be bonded simultaneously at 250 °C. An ultrathin nickel (Ni) buffer layer was used to prevent intermetallic compound (IMC) formation during the deposition process of Sn. Moreover, the asymmetric bonding process could not only optimize the metal and polymer deposition processes but also achieve ultrathin bonding. Furthermore, to solve the issue of surface roughness, the window of polymer-to-solder (P/S) thickness ratio from 1.51 to 2.66 was also demonstrated to show the tolerance of polymer hybrid bonding. The specific contact resistances of the bonded structures were generally maintained between 10−7 and $10^{-{8}}\,\,\Omega $ -cm2, which indicate excellent electrical performance. As a result, the proposed wafer-level asymmetric hybrid bonding is a promising method for future 2.5-D and 3-D integration.
Improved Robust TOA-Based Localization via NLOS Balancing Parameter Estimation

In this paper, the time-of-arrival-based localization problem under mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions is addressed. Previous studies show that existing robust methods perform well in dense NLOS environments, but generally perform badly in sparse NLOS environments. To alleviate this problem, we introduce a “balancing parameter” related to the NLOS errors and formulate a new robust weighted least squares (RWLS) problem with the source position and the NLOS balancing parameter as the estimation variables. The proposed method does not require the statistics of NLOS errors and the path status. By leveraging the S-Lemma, the RWLS problem is transformed into a non-convex optimization problem, which is then relaxed into a convex semidefinite program. Simulation results show that the proposed method works well for both the sparse and dense NLOS environments.
Chest-worn health monitor based on a bistatic self-injection-locked radar

This paper presents a chest-worn health monitor based on continuous-wave Doppler radar technology. To achieve low complexity, low power consumption and simultaneous wireless transmission of Doppler information, the radar architecture is bistaic with a self-injection-locked oscillator (SILO) tag and an injection-locked oscillator (ILO) based frequency demodulator. In the experiments with a prototype operated in the 2.36-2.4 GHz Medical Body Area Networks (MBAN) band, the SILO tag is attached to the chest of a subject to transform the movement of the chest due to cardiopulmonary activities and body exercises into a transmitted frequency-modulated wave. The ILO-based frequency demodulator that is located 30 cm away from the subject receives and demodulates the wave to provide a waveform associated with the chest movement. This waveform is further analyzed using short-time Fourier transform (STFT) and ultimately displayed as time-frequency spectrograms. Promisingly, the experimental results as presented in this paper reveal that the proposed monitor is capable of tracking cardiopulmonary activity of a subject during exercise.
A Hybrid Wavelet Transform and Neural-Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace

This paper proposes a discrete wavelet transform (DWT) and radial basis function neural network (RBFNN)-based method for modeling the dynamic voltage-current (v- i)characteristics of the ac electric arc furnace (EAF). The objective of the study is to develop a complete model of the EAF including different operation stages, and the model can be used as a harmonics and flicker source in its connected power system for the power-quality penetration or mitigation study, where the developed model can be embedded in the power system implemented by a commonly seen simulation tool, such as Matlab/Simulink. In the study, a combination of the DWT and the sequential RBFNN with parameters initialization algorithm is proposed to build the EAF v- i characteristics with enhanced lookup tables for different operation stages, where the field measurements of the EAF voltage and current are used to train the RBFNN for modeling the EAF load. Simulation results obtained by using the proposed model are compared with different measured data. It shows that the solution procedure accurately models the EAF dynamic v- i behavior. The proposed method also can be applied to model other highly nonlinear loads to assess the effectiveness of compensation devices or to perform relative penetration studies.
Multivariable toolbox for use with MATLAB

A toolbox for the frequency-domain analysis and design of multivariable feedback systems, to be used with the software products PC-MATLAB or PROMATLAB, is described. The principal model representations used by the toolbox are described. Its capabilities are illustrated by a worked design example that shows the use of a Nyquist array method. Other design techniques supported by the toolbox are reviewed briefly. <<ETX>>
A low-cost IEEE802.11ad wireless network appliance test system with Mixed Domain Oscilloscope and down converter

We developed a low-cost IEEE802.11ad 60 GHz band test solution. It consists of a down converter based on the harmonic mixer and a Mixed Domain Oscilloscope. We confirmed the performance of the low-cost test system has approximately 7% error vector magnitude in total. In this report, we describe the details and performance of the low-cost test system.
On-Line Load Sensitivity Identification in LV Distribution Grids

This letter proposes a new on-line load sensitivity identification by means of power electronics-based devices. Applying a voltage and frequency perturbation and measuring the consumed power of the loads, the proposed method computes in real time the voltage and frequency dependency of the load active and reactive power. In this letter, a smart transformer application has been proposed, but the method is general for any power electronics converter able to influence dynamically the voltage and frequency in the grid.
An Aggregate Model of Plug-In Electric Vehicles for Primary Frequency Control

The penetration level of plug-in electric vehicles (PEVs) has the potential to be notably increased in the near future, and as a consequence, power systems face new challenges and opportunities. In particular, PEVs are able to provide different types of power system ancillary services. The capability of storing energy and the instantaneous active power control of the fast-switching converters of PEVs are two attractive features that enable PEVs to provide various ancillary services, e.g., primary frequency control (PFC). However, concurrently, PEVs are obliged to be operated and controlled within limits, which curbs the grid support from PEVs. This paper proposes a new model for PEV using a participation factor, which facilitates the incorporation of several PEV fleets characteristics such as minimum desired state of charge (SOC) of the PEV owners, drive train power limitations, constant current and constant voltage charging modes of PEVs. In order to reduce computational complexity, an aggregate model of PEVs is provided using statistical data. In the end, the performance of PEVs for the provision of PFC is evaluated in a power system. Results show that PEV fleets can successfully improve frequency response, once all the operating constraints are respected.
Improved Lower Bounds on the Size of Balls Over Permutations With the Infinity Metric

We study the size (or volume) of balls in the metric space of permutations, <inline-formula> <tex-math notation="LaTeX">$S_{n}$ </tex-math></inline-formula>, under the infinity metric. We focus on the regime of balls with radius <inline-formula> <tex-math notation="LaTeX">$r = \rho \cdot (n\! -\! 1)$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\rho \in [{0,1}]$ </tex-math></inline-formula>, i.e., a radius that is a constant fraction of the maximum possible distance. We provide new lower bounds on the size of such balls. These new lower bounds reduce the asymptotic gap to the known upper bounds to at most 0.029 bits per symbol. Additionally, they imply an improved ball-packing bound for error-correcting codes, and an improved upper bound on the size of optimal covering codes.