Miracle-dz/UniFAR-FTUs huggingface dataset:
IoT Heterogeneous Mesh Network Deployment for Human-in-the-Loop Challenges Towards a Social and Sustainable Industry 4.0

This paper encourages the cooperation of different Internet of Things technologies in industrial environments for avoiding social disruption in novel Industry 4.0 paradigms. For this, green I3A smart factory (GreenISF) scenario is presented, where the deployment of a collaborative mesh network based on Bluetooth low energy (BLE) and long range wide-area network (LoRaWAN) technologies promotes human–machine collaboration towards socially sustainable factories. In order to encourage human-centric architectures in such environments, our smart wristband prototype OperaBLE is introduced in this paper as key enabler for human-in-the-loop systems. Thus, the network deployed in GreenISF is composed of body area networks which monitor labor activity and reinforce security at work by embedding sensors in regulatory industrial clothes. These networks cooperate with our BLE mesh infrastructure aimed to fulfill the major challenges Industry 4.0: zero fails, total coverage, and sustainability. Furthermore, a context information network based on LoRaWAN complements our mesh network to provide the system with valuable environmental data and prevent operators from harmful workplaces. The system is connected to a fog server responsible for preprocessing raw data that will be stored in a global cloud server. The experiments carried out highlight the contribution of OperaBLE towards safer working conditions and a sustainable digitalization of Industry 4.0.
Determination of multidrug resistance mechanisms in Clostridium perfringens type A isolates using RNA sequencing and 2D-electrophoresis

In this study, we screened differentially expressed genes in a multidrug-resistant isolate strain of Clostridium perfringens by RNA sequencing. We also separated and identified differentially expressed proteins (DEPs) in the isolate strain by two-dimensional electrophoresis (2-DE) and mass spectrometry (MS). The RNA sequencing results showed that, compared with the control strain, 1128 genes were differentially expressed in the isolate strain, and these included 227 up-regulated genes and 901 down-regulated genes. Bioinformatics analysis identified the following genes and gene categories that are potentially involved in multidrug resistance (MDR) in the isolate strain: drug transport, drug response, hydrolase activity, transmembrane transporter, transferase activity, amidase transmembrane transporter, efflux transmembrane transporter, bacterial chemotaxis, ABC transporter, and others. The results of the 2-DE showed that 70 proteins were differentially expressed in the isolate strain, 45 of which were up-regulated and 25 down-regulated. Twenty-seven DEPs were identified by MS and these included the following protein categories: ribosome, antimicrobial peptide resistance, and ABC transporter, all of which may be involved in MDR in the isolate strain of C. perfringens. The results provide reference data for further investigations on the drug resistant molecular mechanisms of C. perfringens.
Distribution-based iron road structure recognition method using automotive radar sensor

In this paper, we propose an iron road structure recognition method using an automotive radar sensor. The specific road structures made of iron, such as tunnels, soundproof walls, and guardrails, have periodic steel-framed structures. These periodic structures generate unwanted reflected signals, called radar clutter. This clutter degrades the detection performance of the automotive radar and leads to misdetection of targets. Since the performance of the radar is not fully guaranteed within those iron structures, additional signal processing is needed to mitigate the effect of the clutter. Prior to that, an efficient method to recognize the iron structures using the radar must be established. Thus, we suggest an effective iron road structure recognition method based on the concept that received signal distributions in iron structures differ from the signal distribution in a normal road. From the measurement results on actual roads, our method well distinguishes the iron road structures from the normal roads.
Compact drain current modeling of InAs-OI-Si MOS transistor including quantum confinement

In this work report a physics based compact model of drain current for III-V-on-Insulator MOS transistor. The quantum confinement effect is been correctly incorporated using triangular potential well approximation. This model captures the variation of Fermi level, inversion carrier density and energy level of 1st sub-band with gate voltage inside quantum well. Our proposed model shows good agreement between modeling and TCAD simulation results. We implement the model in Verilog A environment and use in SPICE simulation framework. Our model predicted results match well with experimental data.
Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots

In this paper, we presents the method and procedure for collecting the Korean distant multi-channel speech and noise databases, which were designed for developing the highly accurate distant speech recognition system for indoor conversational robot applications. The speech database was collected at four different distant positions in an in-door room, which was furnished to simulate a living room acoustically, by the playback-and-recording method that uses an artificial mouth for playing the clean source speech data and three kinds of multi-channel microphone arrays for recording the distant speech data. The speech database further consists of a read speech dataset and two conversational speech datasets. Additionally, the noise database consists of 12 types of in-door noise, which were collected at a single distant position with the same approach. These speech and noise databases can be used for creating simulated noisy speech data reflecting various in-door acoustic conditions corrupted by room reverberation and additive noise.
Dynamics of Distributed Updating in Fisher Markets

A major goal in Algorithmic Game Theory is to justify equilibrium concepts from an algorithmic and complexity perspective. One appealing approach is to identify natural distributed algorithms that converge quickly to an equilibrium. This paper established new convergence results for two generalizations of proportional response in Fisher markets with buyers having CES utility functions. The starting points are respectively a new convex and a new convex-concave formulation of such markets. The two generalizations correspond to suitable mirror descent algorithms applied to these formulations. Several of our new results are a consequence of new notions of strong Bregman convexity and of strong Bregman convex-concave functions, and associated linear rates of convergence, which may be of independent interest. Among other results, we analyze a damped generalized proportional response and show a linear rate of convergence in a Fisher market with buyers whose utility functions cover the full spectrum of CES utilities aside the extremes of linear and Leontief utilities; when these utilities are included, we obtain an empirical $O(1/T)$ rate of convergence.
Partial AUC Maximization via Nonlinear Scoring Functions

We propose a method for maximizing a partial area under a receiver operating characteristic (ROC) curve (pAUC) for binary classification tasks. In binary classification tasks, accuracy is the most commonly used as a measure of classifier performance. In some applications such as anomaly detection and diagnostic testing, accuracy is not an appropriate measure since prior probabilties are often greatly biased. Although in such cases the pAUC has been utilized as a performance measure, few methods have been proposed for directly maximizing the pAUC. This optimization is achieved by using a scoring function. The conventional approach utilizes a linear function as the scoring function. In contrast we newly introduce nonlinear scoring functions for this purpose. Specifically, we present two types of nonlinear scoring functions based on generative models and deep neural networks. We show experimentally that nonlinear scoring fucntions improve the conventional methods through the application of a binary classification of real and bogus objects obtained with the Hyper Suprime-Cam on the Subaru telescope.
Ultrafast Nonlinear Plasmonic Spectroscopy: From Dipole Nanoantennas to Complex Hybrid Plasmonic Structures

The key property of metal nanostructures is their unique ability to channel far-field radiation to subwavelength dimensions. The resulting strongly confined and enhanced electromagnetic fields boost nonlinear optical effects at the nanoscale. In this Review article we highlight and summarize the recent most important investigations and advances in the field of “nonlinear plasmonic spectroscopy”, and we present results of second- and third-harmonic spectroscopy experiments of plasmonic nanoantenna arrays that consist of different unit cell elements, ranging from dipole nanoantennas to complex hybrid plasmonic structures. The experiments on dipole nanoantennas show that nonlinear optical processes can be enhanced by plasmonic resonances either at the fundamental laser wavelength or at the spectral position of the harmonic signal. Furthermore, we investigate the quadrupolar third-harmonic response of dolmen-type plasmonic Fano structures and find that the third-harmonic polarization field of the quadrupolar .
A Reconfigurable Multimode Demultiplexer/Switch for Mode-Multiplexed Silicon Photonics Interconnects

We experimentally demonstrate a scalable and broadband reconfigurable multimode demultiplexer/switch (RMDS) for mode-division multiplexed inter- and intra-chip data communication systems. The RMDS exploits a thermo-optically tuned tapered multimode interference coupler, enabling simultaneous transmission of the fundamental and first order quasi transverse electric modes in C-band. It is used as the building block in a mode demultiplexer with −20 dB crosstalk, which can be reconfigured as a mode selecting switch with 10.9 μs switching time. An aggregated bandwidth of 2 × 10 Gb/s is achieved by the parallel transmission of two nonreturn-to-Zero (NRZ) PRBS31 data signals at 10−12 bit-error-rate with 2.8 dB BER power penalty. A 1.55 pJ/bit energy efficiency is estimated for a proposed multimode optical link.
726.7-Gb/s 1.5-μm Single-Mode VCSEL Discrete Multi-Tone Transmission over 2.5-km Multicore Fiber

A 107Gb/s net-rate DMT optical signal was generated using a single-mode long-wavelength VCSEL with a modulation bandwidth of 23 GHz. We experimentally demonstrated a total net-rate up to 726.7Gb/s at 1. 5μm over 2.5km 7-core dispersion-uncompensated MCF.
Large‐Area Antenna‐Assisted SEIRA Substrates by Laser Interference Lithography

Laser interference lithography is utilized to fabricate large‐area plasmonic antenna substrates for surface‐enhanced infrared absorption (SEIRA). Changing the interference condition in each exposure process allows precise control over the geometrical parameters of the structures and thus tailoring of their optical response. Independent of the underlying wafer, the technique enables a homogeneous preparation of antennas over cm2 areas with tunable and high‐quality plasmonic resonances in the near‐ and mid‐infrared spectral range. The broad applicability of such SEIRA substrates is demonstrated by enhancing the infrared vibrational signals of a monolayer octadecanethiol and by monitoring the ultraviolet degradation of a polymer via the decrease of its specific vibrational modes. Due to the large‐area and fast fabrication process, laser interference lithography is ideally suited for the preparation of low‐cost sensing platforms for a variety of different SEIRA applications in the chemical, analytical, and life sciences.
Biologic canine and human intervertebral disc repair by notochordal cell-derived matrix: from bench towards bedside

The socioeconomic burden of chronic back pain related to intervertebral disc (IVD) disease is high and current treatments are only symptomatic. Minimally invasive strategies that promote biological IVD repair should address this unmet need. Notochordal cells (NCs) are replaced by chondrocyte-like cells (CLCs) during IVD maturation and degeneration. The regenerative potential of NC-secreted substances on CLCs and mesenchymal stromal cells (MSCs) has already been demonstrated. However, identification of these substances remains elusive. Innovatively, this study exploits the regenerative NC potential by using healthy porcine NC-derived matrix (NCM) and employs the dog as a clinically relevant translational model. NCM increased the glycosaminoglycan and DNA content of human and canine CLC aggregates and facilitated chondrogenic differentiation of canine MSCs in vitro. Based on these results, NCM, MSCs and NCM+MSCs were injected in mildly (spontaneously) and moderately (induced) degenerated canine IVDs in vivo and, after six months of treatment, were analyzed. NCM injected in moderately (induced) degenerated canine IVDs exerted beneficial effects at the macroscopic and MRI level, induced collagen type II-rich extracellular matrix production, improved the disc height, and ameliorated local inflammation. MSCs exerted no (additive) effects. In conclusion, NCM induced in vivo regenerative effects on degenerated canine IVDs. NCM may, comparable to demineralized bone matrix in bone regeneration, serve as ‘instructive matrix’, by locally releasing growth factors and facilitating tissue repair. Therefore, intradiscal NCM injection could be a promising regenerative treatment for IVD disease, circumventing the cumbersome identification of bioactive NC-secreted substances.
In vivo affinity and target engagement in skin and blood in a first‐time‐in‐human study of an anti‐oncostatin M monoclonal antibody

The oncostatin M (OSM) pathway drives fibrosis, inflammation and vasculopathy, and is a potential therapeutic target for inflammatory and fibrotic diseases. The aim of this first‐time‐in‐human experimental medicine study was to assess the safety, tolerability, pharmacokinetics and target engagement of single subcutaneous doses of GSK2330811, an anti‐OSM monoclonal antibody, in healthy subjects.
A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier

Timely and accurate state detection and fault diagnosis of rolling element bearings are very critical to ensuring the reliability of rotating machinery. This paper proposes a novel method of rolling bearing fault diagnosis based on a combination of ensemble empirical mode decomposition (EEMD), weighted permutation entropy (WPE) and an improved support vector machine (SVM) ensemble classifier. A hybrid voting (HV) strategy that combines SVM-based classifiers and cloud similarity measurement (CSM) was employed to improve the classification accuracy. First, the WPE value of the bearing vibration signal was calculated to detect the fault. Secondly, if a bearing fault occurred, the vibration signal was decomposed into a set of intrinsic mode functions (IMFs) by EEMD. The WPE values of the first several IMFs were calculated to form the fault feature vectors. Then, the SVM ensemble classifier was composed of binary SVM and the HV strategy to identify the bearing multi-fault types. Finally, the proposed model was fully evaluated by experiments and comparative studies. The results demonstrate that the proposed method can effectively detect bearing faults and maintain a high accuracy rate of fault recognition when a small number of training samples are available.
Robust automatic generation control in two area thermal-hydro-nuclear plant with 2DOFPID controller

This paper addresses the robustness of the automatic generation control and optimized artificial bee colony (ABC) algorithm with 2DOFPID. Now a day's Fractional order control has been widely established as an effective and alternative control approach. In order to increase the performance of dynamic systems factional order controllers has been used. The widely used traditional Proportional Integral and Proportional Integral Derivative (PID) controllers are commonly implemented in the automatic generation control (AGC) to enhance the dynamic performance and to decrease or eliminate steady state error. This study develops two degree of freedom PID (2DOFPID) controller based AGC system to enhance the system stability and performance. This study uses the PI/PID/optimized 2DOFPID having ITAE is the objective function. The paper explores AGC for interconnected power system with diverse source and demonstrates that ABC optimized based 2DOFPID performs better than traditional PI and PID controllers. Furthermore, robustness analysis is carried out with their performance index.
An evaluation of perioperative communication in the operating room

Communication failures can lead to sentinel events in the operating room. Knowledge of basic surgical steps is important for all team members to ensure work flow efficiency. Surgeons and non-surgeons were surveyed to determine perceived and actual quality of communication between team members, using knowledge of surgical steps as a marker of communication quality. Participants agreed that communication was important, but non-surgeons were unable to name the four key steps of a laparoscopic cholecystectomy (p = 5.0E-07), indicating poor communication between surgeons and non-surgeons.
Target Volume Delineation Using Diffusion-weighted Imaging for MR-guided Radiotherapy: A Case Series of Laryngeal Cancer Validated by Pathology

In radiotherapy treatment planning, tumor delineation based on diffusion-weighted imaging (DWI) by magnetic resonance imaging (MRI) is a promising technique. MR-only-based target definition becomes important with the recent development of MRI integrated radiotherapy treatment modalities. In this case series, DWI-based gross tumor volume (GTV) was validated using pathology and compared with a clinical GTV based on computed tomography (CT) imaging and MRI. This case series includes three patients with a laryngeal tumor. Prior to total laryngectomy (TLE), imaging was performed on CT and MRI, including a DWI scan. After TLE, the surgical specimen was processed and cut into 3-mm thick slices. The tumor was delineated on hematoxylin-eosin (HE) stained sections by a pathologist (tumorHE). This pathological imaging, including the tumorHE delineation, was three-dimensionally reconstructed and registered to the imaging. The GTV was delineated by a radiation oncologist based on CT and MR imaging (GTVclinical) and semi-automatically delineated based on DWI (GTVDWI). The microscopic tumor extent outside the GTVDWI contour was 3.0 mm, 2.7 mm, and 11.3 mm for cases I, II, and III, respectively. The microscopic tumor extent outside the GTVclinical was 7.5 mm, 2.1 mm, and 1.5 mm for cases I, II, and III, respectively. The tumor, on histology, was covered by the GTVs for 80%, 74%, and 31% (GTVDWI) and 73%, 72%, and 89% (GTVclinical) for the three subsequent cases, respectively. The GTVDWI resembled the tumorHE more than the GTVclinical in case I and case II. In case III, GTVDWI missed the caudal part of the tumor that was included in the clinical delineation due to a lack of contrast and the heterogeneous signal intensity of the tumor in DWI. In this case series, we showed the potential of DWI for MR-guided radiotherapy treatment if a clear contrast is visible. DWI-based GTV delineation might be a fast alternative to manual delineation, which could speed up the on-table target definition using an MRI-linac system. A larger case series is needed to verify these results.
Fabrication of Square-Centimeter Plasmonic Nanoantenna Arrays by Femtosecond Direct Laser Writing Lithography: Effects of Collective Excitations on SEIRA Enhancement

We demonstrate the use of femtosecond direct laser writing lithography for a fast and homogeneous large-area fabrication of plasmonic nanoantennas on a substrate by creating a patterned polymer as an etch mask on a metal layer. Subsequent argon ion beam etching provides plasmonic nanoantennas with feature sizes below the diffraction limit of the laser light. They exhibit tunable high-quality plasmon resonances in the mid-infrared spectral range, which are ideally suited for surface-enhanced infrared absorption (SEIRA). In the present work, we demonstrate reliable, fast, and low-cost fabrication of a wide variety of antenna arrays and examine particularly the influence of plasmonic coupling between neighboring antennas on the SEIRA enhancement effect. Specifically, we measure the enhanced infrared vibrational bands of a 5 nm thick 4,4′-bis(N-carbazolyl)-1,1′-biphenyl layer evaporated on arrays with different longitudinal and transversal spacings between antennas. An optimum SEIRA enhancement per antenna of.
A transitional system for operating both sectorless and sectored airspace in Southeast Asia

As air traffic demand grows, airspace planners work around the increase in workload on air traffic controllers by dividing the airspace into sectors for better manageability. However, this method has its limits and also brings about inefficiency in the air traffic system. One possible solution to this problem is the implementation of a sectorless airspace — an airspace with a single unified sector. Its benefits include dynamic manpower allocation, shorter flight path and more. It has been many years since the introduction of the sectorless airspace concept, and yet this idea has not become operational to date. This paper therefore discusses some of the key considerations with regards to the implementation of this idea — the stakeholders, the changes necessary, and the work already done by others. To date, researches done on the sectorless idea are mainly confined to laboratory and simulations. For the sectorless idea to take off, there must first be a trial performed in the real-world. The trial is a necessary step to gain approval and acceptance from many stakeholders and must therefore be carefully designed. Following this, a transitional system for operating both types of airspace is conceptualized and discussed in this paper. The proposed transitional system is a mixed-mode system for operating both traditional sectored and sectorless airspaces in tandem. Several aspects such as flight rules, scope of coverage, arrangement of air traffic controllers, as well as coordination strategies between agencies are presented. In addition, the benefits, trade-offs, and dangers of this transitional system are also briefly examined. In this paper, the airspace of the Southeast Asian region is used as a case study. Preliminary analyses also showed that the effect of route lengthening as a trade-off on the regional traffic is minimal. Finally, the future of the sectorless implementation in the Southeast Asia context is discussed. Several areas of necessary development and future study for this concept are also briefly presented.