Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic emotional spoken language text corpus construction from written dialogs in fictions

In this paper, we propose a novel method to automatically construct emotional spoken language text corpus from written dialogs, and release a large scale Chinese emotional text dataset with short conversations extracted from thousands of fictions using the proposed method. The emotional spoken language transcript resources in Chinese are relatively limited. However, constructing a large scale supervised corpus manually is neither efficient nor low-cost. This motivates us to try alternative efficient and effective approaches. First, we build a small scale emotion dictionary manually instead of a large scale corpus. Each word in dictionary has an emotion tag. Then, we use the emotional words to search emotional dialogs heuristically in fictions and classify them automatically. Second, we share our work to boost the performance of emotion recognition on spoken languages using the proposed new database. The labeled dialogs can be used for supervised learning while the unlabeled ones provide better word embeddings for the semantic level emotion recognition. We use the dialogs corpus as an auxiliary dataset in speech emotion recognition. We carry out experiments on automatic speech recognition (ASR) generated texts from the speech signals in Chinese Natural Emotional Audio-Visual Database (CHEAVD). It is an eight emotion states recognition task. We obtain a baseline average macro precision (MAP) of 37.08% and accuracy of 31.13% in terms of text-based method. With the labeled dialogs to pre-train neural networks and over-sampling the minority classes, we achieve an optimized MAP of 47.50% and the accuracy of 43.91%, which outperforms the baseline by 10.42% and 12.78% respectively.
Clonal architecture of JAK2V617F mutated cells during treatment with ruxolitinib

Myeloproliferative neoplasms (MPNs) are clonal disorders characterized by a recurrent JAK2V617F mutation reported in 95% of patients with polycythemia vera (PV) and 60% of sssential thrombocythemia (ET) and primary myelofibrosis (MF). The discovery that autonomous activation of the JAK/STAT pathway represents a key abnormality of MPNs promoted the development of JAK1/JAK2 inhibitors, of which ruxolitinib is the first‐in‐class to be approved for the treatment of patients with myelofibrosis and patients with PV resistant or refractory to hydroxyurea. Ruxolitinib proved more efficacious than placebo or best available therapy in improving clinical outcome and reducing JAK2V617F variant allele frequency (VAF); sporadic complete molecular remission were documented with long‐term treatment. However, it remains unclear whether the sensitivity of JAK2V617F mutated progenitors differs depending on their expression of the JAK2V617F mutated allele in heterozygosity or homozygosity. In principle, since homozygous cells express a greater degree of autonomous JAK/STAT signalling as compared to heterozygous cells, one might hypothesize that the decrease of JAK2V617F VAF in patients treated with JAK2 inhibitor results from preferential reduction of heterozygous cells. To investigate this issue, we took advantage of a novel technique described by Hasan et al that allows to define the relative proportion of heterozygous and homozygous JAK2V617F mutated cells in a heterogeneous cell population based on the principle that the 46/1 rs12343867 (T to C shift) SNP allele burden reflects the percentage of JAK2V617F homozygous clones. The main advantage of this approach is that it permits clonal analysis without the need to isolate single cells/clones, usually obtained by coumbersome clonogenic assays in semisolid media; conversely, the limitation is that it can be applied only in patients who express a heterozygous 46/1 haplotype, thereby reducing the number of informative subjects. We evaluated 57 JAK2V617F+ MPN patients (27 MF, 23 PV, and 7 ET, according to the 2008 WHO criteria) who were treated with ruxolitinib for at least 1 year. Genotyping of 46/1 haplotype and JAK2V617F mutation was performed in DNA from granulocytes at baseline and at each year until the latest follow‐up visit, using the commercial rs12343867 and a customized SNP allelic discrimination assay, according to Hasan et al. The JAK2V617F VAF was also confirmed by Real Time‐quantitative PCR assays. Statistical analysis was performed using t‐test; the significance level was P ≤ . 05 in 2‐sided test.
Anesthetic Practices for Laser Rehabilitation of Pediatric Hypertrophic Burn Scars

The use of ablative fractional carbon dioxide laser therapy and pulsed dye laser therapy has led to significant improvements in the rehabilitation of hypertrophic burn scars. However, laser procedures are associated with appreciable pain among pediatric patients. Clinical consensus suggests using general anesthesia for pediatric laser procedures; however, guidelines for perioperative care are lacking. The objective of this quality improvement study is to determine whether a difference exists in postoperative pain outcomes in pediatric patients who receive intraoperative opioid regimens compared with patients who receive opioid-sparing regimens for laser therapy of hypertrophic burn scars. A retrospective review of patients who received laser therapy at a pediatric burn center from April 2014 to May 2015 was performed. Overall, 88 of the 92 procedures reviewed were included. A statistically significant difference was not found between the likelihood of postoperative pain when intraoperative opioid regimens (n = 63) were given compared with opioid-sparing regimens (n = 25) X 2 (1, n = 88) = 2.870, P = . 0902. There was also no difference between short-acting (n = 48), long-acting (n = 9), or combination (n = 6) intraoperative opioids compared with opioid-sparing regimens (n = 25) in the likelihood of postoperative pain. Despite the small sample size, the low number of postoperative pain cases is encouraging. Ultimately, these data provide a foundation for developing anesthetic guidelines for pediatric laser procedures. Specifically, clinicians should consider the potential to deliver adequate perioperative care via an opioid-sparing regimen ± adjuvant.
Estimation and Projection of Prevalence of Colorectal Cancer in Iran, 2015–2020

Background: Population aging and more prevalent westernized lifestyle would be expected to result in a markedly rising burden of colorectal cancer (CRC) in the future years. The aim of this study is to estimate the limited-time prevalence of CRC in Iran between 2015 and 2020. Materials and Methods: Aggregated CRC incidence data were extracted from the Iranian national cancer registry (IR.NCR) reports for 2003–2009 and from GLOBOCAN-2012 database for 2012. Incidence trends were analyzed by age groups, genders, histopathologic, and topographic subtypes to estimate annual percentage changes. Incidence was projected for 2020. The prevalence was estimated applying an adopted version of a previously introduced equation to estimate limited–time prevalence based on the incidence and survival data. Monte Carlo sensitivity analyses were applied to estimate 95% uncertainty levels (ULs). In each scenario, incidence, survival, annual percentage changes, and completeness of case ascertainment at IR.NCR were replaced under pre-assumed distributions. Results: Number of estimated within 1, 2-3 and 4-5-year CRC patients in 2015 were 13676 (95% UL: 10051–18807), 20964 (15835–28268), and 14485 (11188–19293), respectively. Estimated 5-year prevalence for 2020 (99463; 75150–134744) was 2.03 times of that for 2015. Highest 5-year prevalence was estimated in ages 55–59 for females and 75 + for males. Adenocarcinoma (41376; 31227 55898) was the most prevalent histologic subtype. The most prevalent tumor location was colon (30822, 23262–41638). Conclusion: A substantial growth in the prevalence of CRC survivors is highly expected for future years in Iran. Establishment of specialized institutes is highly recommended to provide medical and especially social supports for Iranian CRC survivors.
Cooperative control for self-organizing microgrids via physical network connectivity

This work is to primarily investigate the cooperative control by virtue of physical network connectivity in self-organizing microgrids. The purpose of cooperative control is to maintain a group of generators operating at the identical ratio in terms of their available power, namely Fair Utilization. In general, the states of the art rely on the additional fragile and logy communication link to interact the states of interest among agents. Recent research enlightens us that for certain systems, such as power system, the physical network connectivity is beneficial to achieve the cooperative behaviors. To this end, the cooperative control based upon the physical network connectivity is proposed. The stability analysis is conducted via classical Lyapunov theory and asymptotical convergence is proved by using LaSalle's Invariance Principle. In order for the further validation, the proposed cooperative control is applied in IEEE 5-bus system and simulations are elaborated to validate the effectiveness.
Fabrication of nanochannels with complex three-dimensional structures based on a modified atomic force microscopy nanoscratching system

A novel manufacturing method of fabricating nanochannels with complex three-dimensional (3D) structures based on a modified atomic force microscopy (AFM) nanoscratching method is presented. By changing the moving trajectories of the AFM tip, arbitrary geometric patterns were obtained. Nanochannels consisting of the superposition of geometric figures could be fabricated through extensively controlling the scanning velocity of the AFM tip and combining the movement of the AFM tip with the high-precision stage. Machining experiments were performed to demonstrate the capability, validity and flexibility of the proposed approach. Finally, nanochannels with complex 3D structures were presented in an automated, flexible but cost-effective way.
The role of PKCζ in cord blood T-cell maturation towards Th1 cytokine profile and its epigenetic regulation by fish oil

While immunodeficiency of immaturity of the neonate has been considered important as the basis for unusual susceptibility to infection, it has also been recognized that the ability to progress from an immature Th2 cytokine predominance to a Th1 profile has relevance in determining whether children will develop allergy, providing an opportunity for epigenetic regulation through environmental pressures. However, this notion remains relatively unexplored. Here, we present evidence that there are two major control points to explain the immunodeficiency in cord blood (CB) T-cells, a deficiency in interleukin (IL)-12 (IL-12) producing and IL-10 overproducing accessory cells, leading to a decreased interferon γ (IFNγ) synthesis and the other, an intrinsic defect in T-cell protein kinase C (PKC) ζ (PKCζ) expression. An important finding was that human CB T-cells rendered deficient in PKCζ, by shRNA knockdown, develop into low tumour necrosis factor α (TNFα) and IFNγ but increased IL-13 producing cells. Interestingly, we found that the increase in PKCζ levels in CB T-cells caused by prenatal supplementation with fish oil correlated with modifications of histone acetylation at the PKCζ gene (PRKCZ) promoter. The data demonstrate that PKCζ expression regulates the maturation of neonatal T-cells into specific functional phenotypes and that environmental influences may work via PKCζ to regulate these phenotypes and disease susceptibility.
Strain Analysis in Geological Materials Using Neutron Diffraction and AE Signal Measurement at J-PARC/BL19 "TAKUMI"

Acoustic emission (AE) is defined as a transient elastic wave generated by the rapid release of energy within a material. Crack initiation, phase transition and rupturing in rock materials are all detectable with the measurement of AE signals, and therefore such measurement helps to understand the underlying mechanism (s) of macroscopic deformation. In this study of the deformation mechanism (s) of rock samples, simultaneous measurements of the neutron diffraction pattern and AE signals were performed using the Engineering Materials Diffractometer TAKUMI at the Japan Proton Accelerator Research Complex (J-PARC). Two types of rock sample were tested in the experiments: sandstone and carbonate rock. A discrepancy was found between macroscopic strain (measured by strain gauge) and lattice strain (measured by neutron diffraction), and AE signals that would be generated by grain slip and pore collapse in rock samples were detected. Macroscopic strain in the rock samples was associated not only with lattice strain but also with mineral grain slip and pore collapse within the rock. The combination of AE signal measurements and neutron diffraction is an effective tool for investigating the deformation mechanisms of rock materials.
Inhibitory effects of N,N,N-trimethyl phytosphingosine-iodide on melanogenesis via ERK activation-mediated MITF degradation

N,N,N-trimethyl phytosphingosine-iodide (TMP) was recently developed as an antitumor agent. We examined the effects of TMP on melanogenesis and its related signaling pathways in normal human melanocytes. Our results showed that melanin is significantly reduced in a dose-dependent manner in both cells following liposomal TMP treatment. We also investigated changes in the phosphorylation of extracellular signal-regulated kinase (ERK), which is related to the degradation of microphthalmia-associated transcription factor (MITF). Our results indicated that liposomal TMP treatment leads to the phosphorylation of ERK, which reduces both MITF and tyrosinase protein levels. Treatment with PD98059, an ERK pathway-specific inhibitor, restored liposomal TMP-induced reductions in melanin, abrogated reductions in tyrosinase activity, and downregulated MITF and tyrosinase protein. In conclusion, these results suggest that the inhibitory effects of TMP on melanogenesis are due to MITF and tyrosinase downregulation via ERK activation. Graphical abstract Liposomal TMP treatment decreases the expression of both MITF and tyrosinase proteins
Electromagnetic Performance Analysis of Interior PM Machines for Electric Vehicle Applications

An interior permanent magnet (IPM) machine with ∇ + U shape rotor topology is proposed and its electromagnetic performance with typical V shape and ∇ shape for electric vehicle (EV) applications are compared. The pole-arc to pole-pitch ratios are optimized to maximize the fundamental air-gap flux density and minimize its total harmonic distortion (THD) of all the three IPM machines by the finite element (FE) method. It can be obtained that ∇ + U shape rotor topology has the lowest THD of the air-gap flux density. The back electromotive force and its THD orders, cogging torque, torque density, torque ripple, d- and q-axis inductances, saliency ratio, and iron loss of three machines are analyzed and compared. It is demonstrated that the ∇ shape IPM machines have the highest average torque, and the torque ripples of the V shape and ∇ shape machines are almost the same. The ∇ + U shape IPM machine has the lowest torque ripple and iron loss with only a little reduction of average torque. Finally, the ∇ + U shape IPM machine is prototyped to verify the results of the FE analysis.
Elastic and viscoelastic contact mechanics of coating/substrate composites in axisymmetric indentation

Indentation contact mechanics of coating/substrate composites is addressed in elastic and viscoelastic regimes. An analytical solution for the elastic Boussinesq problems is examined first using an appropriate contact pressure distribution. The analytical expression for the elastic modulus E eff of layered composites is then converted to the corresponding stress relaxation modulus Y eff (t) using the correspondence principle of linear elastic and linear viscoelastic deformations. Several numerical simulations for the stress relaxation behaviour of layered composites, i.e., a viscoelastic coating on an elastic substrate, an elastic coating on a viscoelastic substrate, etc., are demonstrated to obtain rheological insights into the contact behaviour of coating/substrate composites for flat-ended cylindrical indentation. The assumptions and approximations included in the theoretical considerations are carefully addressed. The viscous squeezing flow, in a thin coating film, out of the geometrically constrained space beneath the indenter is also examined.
A 15/20/30/40 GHz multi-band push-push VCO using dual-resonant LC resonator

A quad-band voltage-controlled oscillator (QBVCO) is proposed for multi-band satellite communication systems. The presented QBVCO is designed with a transformer feedback topology in a standard 180-nm CMOS technology. By improving the LC-tanks, the output signals of QBVCO exhibit four oscillation frequencies within the satellite communication bands. The lower bands, 15/20GHz, are generated by adopting dual-resonant LC resonators. The lower bands can be tuned by varying the control voltage of the varactors. The higher bands, 30/40GHz, are obtained by adding a push-push frequency doubler. The power consumption is 11.31mW at 1.5V supply voltage. The designed low power quad-band VCO has advantages of low phase noise and high output signal power without an extra negative supply voltage.
A high-density CMOS multi-modality joint sensor/stimulator array with 1024 pixels for holistic real-time cellular characterization

This paper presents a fully integrated 1024-pixel world-first joint multi-modality sensor/stimulator array in CMOS for holistic real-time cell characterization. Each pixel supports extracellular voltage recording, optical detection, and cellular impedance measurement, as well as current-mode cellular stimulation. Four independent on-chip temperature sensors monitor the ambient temperature variation. The chip is implemented in a 130nm CMOS process with a pixel size of 58μm×58μm, achieving the largest array-size and smallest pixel for a multi-modality joint sensor/stimulator array in CMOS. The electrical and biological measurements demonstrate the utility of this high-density multi-modality array in cell-based assays for drug and chemical screening.
Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT

Industrial automation deployments constitute challenging environments where moving IoT machines may produce high-definition video and other heavy sensor data during surveying and inspection operations. Transporting massive contents to the edge network infrastructure and then eventually to the remote human operator requires reliable and high-rate radio links supported by intelligent data caching and delivery mechanisms. In this work, we address the challenges of contents dissemination in characteristic factory automation scenarios by proposing to engage moving industrial machines as D2D caching helpers. With the goal of improving the reliability of high-rate mmWave data connections, we introduce alternative contents dissemination modes and then construct a novel mobility-aware methodology that helps develop predictive mode selection strategies based on the anticipated radio link conditions. We also conduct a thorough system-level evaluation of representative data dissemination strategies to confirm the benefits of predictive solutions that employ D2D-enabled collaborative caching at the wireless edge to lower contents delivery latency and improve data acquisition reliability.
ESTIMATION OF DIAGNOSTIC REFERENCE LEVELS FOR CT CORONAROGRAPHY IN SLOVAKIA

The coronary CT angiography (CCTA) is a frequent diagnostic method connected with large variability of effective dose. Therefore, it is the type of examination where optimization is very important and the use of a national diagnostic reference level (DRL) recommended. In Slovakia the DRL for interventional radiology examinations until now fails. The objective of our study was to propose the national DRL for CCTA examinations in Slovak Republic, on the basis of a cross-sectional multicenter study, performed in four departments of radiology. The study was realized in 2014-16 in a sample of 1725 patients undergoing CCTA examination. The proposed DRL expressed by CTDIVOL is 45 mGy and of DLP is 510 mGy cm.
Political Bots and the Manipulation of Public Opinion in Venezuela

Social and political bots have a small but strategic role in Venezuelan political conversations. These automated scripts generate content through social media platforms and then interact with people. In this preliminary study on the use of political bots in Venezuela, we analyze the tweeting, following and retweeting patterns for the accounts of prominent Venezuelan politicians and prominent Venezuelan bots. We find that bots generate a very small proportion of all the traffic about political life in Venezuela. Bots are used to retweet content from Venezuelan politicians but the effect is subtle in that less than 10 percent of all retweets come from bot-related platforms. Nonetheless, we find that the most active bots are those used by Venezuela’s radical opposition. Bots are pretending to be political leaders, government agencies and political parties more than citizens. Finally, bots are promoting innocuous political events more than attacking opponents or spreading misinformation.
Simulated annealing-Particle Swarm Optimization (SA-PSO): Particle distribution study and application in Neural Wiener-based NMPC

Good nonlinear optimization plays a vital role in advanced controller such as nonlinear model predictive control (NMPC). Particle swarm optimization (PSO) is one of nonlinear optimization which has a good potential to be implemented in the NMPC. Even though PSO can determine global optimum value, it is less superior in determining a local minimum value. Meanwhile, another optimizer known as simulated annealing (SA), has an opposite capability of PSO in determining the local and global values. Consequently, in this work, the SA and PSO optimizers have been combined to form SA-PSO which expected to cater both local and optimum point searching. From the particle distribution study, the result shows that the SA-PSO has better particle distribution than the original PSO. The proposed SA-PSO optimizer has also successfully applied in NMPC to control temperatures in the MTBE reactive distillation. The set point tracking test show that the NMPC using SA-PSO have good performance with small amount of overshoot, low settling time and small amount of error.
A Comparison of Expectations of Physicians and Patients with Chronic Pain for Pain Clinic Visits

The patient–physician encounter forms the cornerstone of every health service. However, optimal medical outcomes are often confounded by inadequate patient–physician communication. Chronic pain is estimated to affect over 25% of the population. Its effects are multifaceted with patients at increased risk of experiencing emotional and functional disturbances. Therefore, it is crucial to address all components of the patient's pain experience, including beliefs and expectations. It is our understanding that no other study to date has evaluated the expectations of physicians and compared them to those of patients for pain clinic visits. We sought to describe and compare expectations of chronic pain patients and their physicians during a clinic consultation.