Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of the Combination of Systemic Sequential Therapy and Locoregional Therapy in the Long-Term Survival of Patients with BCLC Stage C Hepatocellular Carcinoma

Simple Summary The Barcelona clinic liver cancer (BCLC) system is used widely for staging hepatocellular carcinomas (HCCs). However, it is questionable that for patients classified as BCLC stage C, control of intrahepatic targets using various treatment procedures is not the main topic of discussion, whereas the importance of intrahepatic tumor control in patients with extrahepatic tumor spread is reviewed. Therefore, this study analyzed the data of 64 consecutive BCLC stage C patients with intrahepatic target nodules who received systemic therapy and evaluated the efficacy of the combined use of systemic sequential therapy, including more than two agents, and locoregional treatment administered after initiation of systemic therapy. We showed that the combined use of systemic sequential therapy of more than two agents and locoregional-treatment improved overall survival in BCLC stage C HCC patients with intrahepatic target nodules who had previously received systemic therapy-based treatment. Abstract Background: The aim of this study was to evaluate the clinical impact of a combination of systemic sequential therapy and locoregional therapy on the long-term survival of patients with Barcelona Clinic Liver Cancer (BCLC) stage C hepatocellular carcinoma (HCC). Methods: Sixty-four consecutive patients with intrahepatic target nodules who had initially received systemic therapy (lenvatinib and atezolizumab plus bevacizumab) were reviewed. The clinical impact of the combined use of systemic sequential therapy and locoregional therapy was evaluated by determining overall survival (OS). The combined use of systemic sequential therapy with more than two agents and locoregional treatment was defined as multidisciplinary combination therapy (MCT), while only systemic sequential therapy and repeated locoregional-treatment was defined as a single treatment procedure (STP). Results: R0 resection, MCT, and STP resulted in significantly better OS compared with no additional treatment (median OS, not reached vs. 18.2 months and 12.6 vs. 8.1 months, respectively; p = 0.002). Multivariate analysis confirmed that the use of R0 resection and MCT were associated with better OS (hazard ratio [HR]; 0.053, p = 0.006 and 0.189, p < 0.001, respectively) compared with that for STP (HR; 0.279, p = 0.003). Conclusions: MCT is may effective in patients with BCLC stage C HCC and intrahepatic target nodules who have previously received systemic therapy-based treatment.
Self-Service Aversion: correlations between Experience Design and rejection of bank ATMs by some users

This study addresses people’s resistance to using self-service terminals, especially bank ATMs. Many bank customers prefer seeking assistance from other people or auxiliary professionals when using an ATM. It was observed that this rejection or difficulty of use is not always directly related to bad interface designs of these self-service systems. An in-depth research was conducted, involving observation and a survey on-site at three bank branches in Brazil using the Contextual Inquiry method.The research used the contingency coefficient as a statistical method to determine the magnitude of the correlation between psychological and behavioral factors and ATM aversion.The results verified the existence of Self-service Aversion, which is the tendency of some to prefer human service instead of automated service, and is built upon four main constructs: sense of uncertainty, environment, sense of accountability, and user interface design. It was concluded that user experience is influenced by psychological and behavioral factors, such as expectations, cognition, emotion, motivation, and social context, impacting effectiveness and usability.
Change in modal meanings: Another look at the shifting collocates of may

This paper discusses how modal auxiliaries fit into a constructional view of language and how this view allows us to think in new ways about diachronic meaning change in modal auxiliaries. These issues will be illustrated on the basis of a diachronic corpus-based study of the modal auxiliary may , specifically focusing on changes in its collocational preferences during the past 200 years. The main point of this paper is the claim that a constructional view needs to take account of the mutual associations between modal auxiliaries and the lexical elements with which they occur. Changes in these mutual associations are usefully understood as change in a complex network of constructions.
Sub-μW Auto-Calibration Bandgap Voltage Reference With 1σ Inaccuracy of ± 0.12% Within − 40°C to 120°C

This article presents an auto-calibration technique for current-based bandgap voltage references (BGRs), based on a digitally-assisted auto-calibration loop for calibration cost reduction. We first present a theoretical study of the process variation induced <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{EB}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\Delta V_{\text {EB}}$ </tex-math></inline-formula> variations in the BJT, which contribute to residual errors in the reference voltage (<inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{REF}}$ </tex-math></inline-formula>) and its temperature coefficient (TC) after applying conventional one-point trimming. Based on the study, we further propose an automatic one-point trimming methodology using a current digital-to-analog converter (IDAC), which can simultaneously relax the <inline-formula> <tex-math notation="LaTeX">$A{V}$ </tex-math></inline-formula>EBand <inline-formula> <tex-math notation="LaTeX">$\Delta V_{\mathrm{EB}}$ </tex-math></inline-formula> variations, resulting in a small drift in both <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{REF}}$ </tex-math></inline-formula> and its TC after calibration. Fabricated in 65 nm standard CMOS, the proposed auto-calibrated BGR achieves a measured TC of 22.3 ppm/°C at 1.2 V supply within −40 °C to 120 °C. The line regulation is 1.26 mV/V or 0.13%/V from 1.2 to 2.5 V. Based on ten-chip measurement results, the achieved <inline-formula> <tex-math notation="LaTeX">$\sigma /\mu $ </tex-math></inline-formula> variation in <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm{REF}}$ </tex-math></inline-formula> improves from ±0.53% to ±0.12% within the entire temperature spectrum after applying the proposed auto-calibration technique at 27 °C.
Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension

Synthetic aperture radar (SAR) systems can be designed with different polarimetric modalities. Most spaceborne SAR systems acquire dual-polarimetric data to meet various operational requirements. They are designed to capture more information about the Earth’s surface than single-pol systems and to cover a wider area than full-pol modalities. Dual-polarimetric data may not be as informative as fully polarimetric images. Several methods exist to augment dual-polarimetric images to take the capabilities of fully polarimetric data. Such methods, nevertheless, are either specific to special dual-pol modalities, i.e., compact modes, or rely on model assumptions that may not be valid in various scattering scenarios. In this article, a new framework for reconstructing fully polarimetric information from typical modalities of dual-pol data is proposed. The framework uses deep learning solutions to augment dual-polarimetric data without relying on model assumptions. Besides the specific architecture of the network used, which makes it efficient to extract distinctive features, a specific loss function is defined to account for the different scattering properties of the polarimetric data. Experiments on different real data show that the reconstruction performance of the proposed framework is superior to the conventional reconstruction method that widely experimented in the literature. Moreover, the pseudo-fully polarimetric data reconstructed by the proposed method closely match the actual fully polarimetric images acquired by radar systems, confirming the reliability and effectiveness of the proposed method.
Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties

Protein-protein interactions (PPIs) are associated with various diseases; hence, they are important targets in drug discovery. However, the physicochemical empirical properties of PPI-targeted drugs are distinct from those of conventional small molecule oral pharmaceuticals, which adhere to the ”rule of five (RO5)”. Therefore, developing PPI-targeted drugs using conventional methods, such as molecular generation models, is challenging. In this study, we propose a molecular generation model based on deep reinforcement learning that is specialized for the production of PPI inhibitors. By introducing a scoring function that can represent the properties of PPI inhibitors, we successfully generated potential PPI inhibitor compounds. These newly constructed virtual compounds possess the desired properties for PPI inhibitors, and they show similarity to commercially available PPI libraries. The virtual compounds are freely available as a virtual library.
Design and performance of high temperature operating resonant‐cavity photodiodes based on 795 nm‐VCSEL structure

We present detailed simulated and experimental results on spectral response of high temperature operating resonant‐cavity photodiodes (RCPDs). Room temperature external quantum efficiency (EQE) spectrum shows peaks at resonance wavelength, ground‐state emission, and lower reflectivity position. The EQE is ∼1.25, ∼0.7, and ∼3.75%, respectively, at the above three peak positions, i.e., 793, 778, and 743 nm. The maximum EQE increases from ∼1.25 to ∼18% as incident light angle increasing from 0 to 60°. The bandgap of AlGaAs barrier layer was also obtained by the angle dependence of EQE measurement. The amount of EQE/responsivity peak shift with temperature can be determined to be Δλ = T × 0.065 nm K−1, which is consistent with the temperature dependence of CM. The maximum responsivity increases from ∼0.01 to ∼0.19 A W−1 when temperature increasing from 300 to 370 K at −1 V bias. For high temperature operating RCPDs, the EQE/responsivity are largely governed by the total absorption within the active region. The performance of RCPDs can be further improved by increasing the pairs of bottom DBR and optimizing the pairs of top DBR.
Studies on speech production at the Phonetics Institute of Strasbourg: a historical perspective on the evolution of basic knowledge

: Research works in the field of speech production studies have been carried out at the Phonetics Institute of Strasbourg (IPS) using cineradiography since the 1960s. This contribution will take as a starting point the article entitled “Histoire du radiocinéma à l’Institut de Phonétique de Strasbourg” [14] in order to summarise the main milestones in the evolution of this X-ray method at the institute. While [14] privileged the historical perspective of cineradiography, we shall focus here on the history of the contributions of these studies to the advancement of fundamental knowledge in the field of speech production, from the 1960s to 2000.
Excitation control of DTC controlled salient pole synchronous motor in field weakening range

Synchronous motor drives are well suited for rolling mill applications, where good performance is required both at zero and high speed in field weakening. Direct torque control (DTC) sets high dynamic requirement for the excitation control too. DTC controls only the stator flux linkage and stator current is determined according stator flux linkage. The stator current and drive stability can be, however, controlled by the excitation current. For that reason, excitation current control has an important role in DTC controlled synchronous motor drives, especially at high speeds and high loads, when the drive is working near its stability and current limits.
Bimanual Intravenous Needle Insertion Simulation Using Nonhomogeneous Haptic Device Integrated into Mixed Reality

In this study, we developed a new haptic–mixed reality intravenous (HMR-IV) needle insertion simulation system, providing a bimanual haptic interface integrated into a mixed reality system with programmable variabilities considering real clinical environments. The system was designed for nursing students or healthcare professionals to practice IV needle insertion into a virtual arm with unlimited attempts under various changing insertion conditions (e.g., skin: color, texture, stiffness, friction; vein: size, shape, location depth, stiffness, friction). To achieve accurate hand–eye coordination under dynamic mixed reality scenarios, two different haptic devices (Dexmo and Geomagic Touch) and a standalone mixed reality system (HoloLens 2) were integrated and synchronized through multistep calibration for different coordinate systems (real world, virtual world, mixed reality world, haptic interface world, HoloLens camera). In addition, force-profile-based haptic rendering proposed in this study was able to successfully mimic the real tactile feeling of IV needle insertion. Further, a global hand-tracking method, combining two depth sensors (HoloLens and Leap Motion), was developed to accurately track a haptic glove and simulate grasping a virtual hand with force feedback. We conducted an evaluation study with 20 participants (9 experts and 11 novices) to measure the usability of the HMR-IV simulation system with user performance under various insertion conditions. The quantitative results from our own metric and qualitative results from the NASA Task Load Index demonstrate the usability of our system.
Developing a coordinated regulation schedule to prevent damage to the environment by vehicles and improve the structure of the energy system: evidence from the city of Baku (Azerbaijan)

Problem. The scale of road traffic is constantly increasing all over the world, which is the basis and indispensable condition for sustainable economic growth, on the one hand, and the source of a complex of transport and environmental problems, on the other. One of the most pressing problems is the congestion of road networks. Goal. The purpose of the article is the analysis of the way to organize the creation of an effective system that controls traffic in an urban agglomeration. Methodology. This article analyzed the case of one of the main avenues of Baku to develop a coordinated regulation schedule for reducing vehicles damage to the environment by waiting at a red light, as well as for improving the structure of the energy system in the developing countries, especially in Ukraine, which has been suffering from war. Results. For this reason, in the article a proposal was made to improve the efficiency of traffic management at the main intersection of Matbuat avenue in Baku, the number of vehicles moving on the avenue was studied and the traffic light timings report was made at all intersections, the reports were adapted to the main roadway, and a green wave graph was constructed. Originality. The methodology for estimating environmental and economic damage from the impact of motor vehicles on the urban ecosystem, including indexation coefficient has been improved. The methodical bases of the design of a complex of environmental measures to reduce the impact of vehicles on the environment of Baku have been substantiated. The article provides a basis for the design of a complex of environmental measures. Practical value. A set of measures has been developed to reduce pollution from city vehicles, which can be used in regional and municipal programs.
The classification and categorisation of gamma ray bursts with machine learning techniques for neutrino detection

While Gamma-Ray Burst (GRBs) are clear and distinct observed events, every individual GRB is unique. In fact, GRBs are known for their variable behaviour, and BATSE was already able to discover two categories of GRB from the T90 distribution; the short and long GRBs. These two categories match up with the expected two types of GRB progenitors. Nowadays, more features have been found to be able to further distinguish them, such as the hardness ratio or the presence of supernovae. However, that does not mean that it is by any means simple to categorise individual GRBs. Furthermore, more GRB categories have been theorised as well, such as low-luminosity or X-ray-rich GRBs. These different types of GRBs also could indicate a different neutrino spectrum, with different types of GRBs more likely to emit higher amounts of neutrinos. We present an ongoing effort to use machine learning to categorise and classify GRBs, searching for subpopulations that could yield a larger neutrino flux. We specifically use unsupervised learning, as it allows hidden patterns and correlations to come to light. With the help of features such as the T90, hardness, fluence, SNR, spectral index and even the full light curve and spectra, different structures and categories of Gamma-Ray bursts can be found.
Analysis of the importance of on-field covariates in the German Bundesliga

ABSTRACT In modern football, various variables as, for example, the distance a team runs or its percentage of ball possession, are collected throughout a match. However, there is a lack of methods to make use of these on-field variables simultaneously and to connect them with the final result of the match. This paper considers data from the German Bundesliga season 2015/2016. The objective is to identify the on-field variables that are connected to the sportive success or failure of the single teams. An extended Bradley–Terry model for football matches is proposed that is able to take into account on-field covariates. Penalty terms are used to reduce the complexity of the model and to find clusters of teams with equal covariate effects. The model identifies the running distance to be the on-field covariate that is most strongly connected to the match outcome.
Design of multiple‐mode observer and multiple‐mode controller for switched positive linear systems

In this study, the design problem of multiple-mode observer and multiple-mode controller is studied for switched positive linear systems. By proposing a new design approach for a class of switched positive linear system, numerical conditions for the existence of multiple-mode observer and multiple-mode controller are presented by using linear programming approach. First, a multiple-mode observer is designed such that the error system is exponentially stable. Next, a robust multiple-mode interval observer is presented for uncertain switched positive systems with uncertain parameters. In the sequel, a multiple-mode output-feedback controller is designed such that the closed-loop system is exponentially stable. Compared with the existing references, the design method can bring out lower computational burden. Finally, three examples are given to show the effectiveness of the authors' results.
A New Criterion for Tightness of Stochastic Processes and an Application to Markov Processes

We prove a stochastic inequality for the modulus of continuity of a stochastic process U on the real line. It requires certain tail inequalities for the increments of U, refining a criterion of Billingsley (1968). Then this result is used to prove weak convergence of a goodness-of-fit test statistic for simple hypotheses about the conditional median function of a stationary Markovian time series.
Dynamics of automorphisms of compact complex surfaces

Recent results concerning the dynamics of holomorphic diffeomorphisms of compact complex surfaces are described, that require a nice interplay between algebraic geometry, complex analysis, and dynamical systems. RÉSUMÉ. Nous décrivons quelques résultats récents concernant la dynamique des difféomorphismes holomorphes des surfaces complexes compactes. Ceci nécessite des outils de géométrie algébrique, d’analyse complexe et de systèmes dynamiques.
Why climate change spells dangerous for humanity

Today no one may be hesitant to talk about climate change because we are feeling its effects on health. In this article, you will find basic information about the subject, what it is, what causes it, and what we can do about it. But you don’t need to be an expert on climate to talk about the risks climate change poses to human health, or the health benefits of taking action against these changes. When the subject is a climate change, we often hear specialist no knowledge in fact about subject. People often talk about climate change with too much emotion and without paying attention to the facts that are driving those climate changes. At one moment they talk about people and animals dying for lack of water or food, at another moment, they point to the negative effects on people's health. This article points out some causes of the effects of these changes on people. One of the causes is the lack of water and the reduction of food supply. Another cause is heat wave with temperature reaching a record of 49 degrees Celsius in several cities, with an effect on people's regular work, breathing difficulties and water shortage. This article is based on exploratory research to get to know the topic in more depth and establish an opening for future research. The technique for obtaining information is a bibliographical one that points out the facts that generate the impacts of climate change on the lives of people and animals, aiming to stimulate understanding and discussion about the problem. The first results of this research indicate that the problems generated by climate change in the health of people and animals are the reduction in food production, for example: the production of wheat in India; death of people in Pakistan, Spain, India due to temperatures of 49 degrees Celsius and, finally, the lack of water in Somalia and other regions.
Measurement of Mechanical Properties of Electroplated Nickel-Iron Alloys

Electroplated materials often have mechanical properties that differ from their bulk counterparts. A microfabricated test device has been made to measure the Young’s and shear modulus of electroplated 80/20 nickel-iron (NiFe) in-situ for micro-electromechanical devices. The effective Young’s modulus was calculated to be E = 65GPa, which differs substantially from bulk NiFe with a E = 210GPa. The shear modulus was found to be G = 44GPa ± 15GPa which differs from the bulk shear modulus G = 80GPa.