Miracle-dz/UniFAR-FTUs huggingface dataset:
Editorial: Next-Generation Cancer Therapies Based on a (R)evolution of the Biomarker Landscape

Targeted and immunomodulatory agents have driven the field of cancer therapy toward precision oncology. Therapeutic protocols can now be tailored to each patient after identifying molecular alterations and vulnerabilities to provide the most case-effective therapeutic option. Even though personalized therapies have offered clinical benefits to responsive patients, they also reveal limitations (Gambardella et al., 2020; Malone et al., 2020). The multi-arm precision clinical trial NCI-MATCH (National Cancer Institute-Molecular Analysis for Therapy Choice) applied DNA sequencing to assign themost appropriate targeted therapies to individual cancer patients. As a result, 18% of the 38% of patients with an actionable mutation could benefit from such a personalized treatment; moreover, a significant proportion of them did not respond to these therapies (Flaherty et al., 2020; Commentary, 2021). Similarly, immunotherapies hold potential in cancer therapy; however, the benefit of these approaches is counterbalanced by early disease progression and frequent adverse events (AEs) in real-world experience (McKean et al., 2020). The robustness of biomarkers predicting patient response or AEsmust be improved. To reach this goal, several ongoing clinical trials have been launched to validate innovative precision immuno-oncologymarkers with the intent to improve patient stratification and drug response prediction (NCT03833440; NCT03493581; NCT04589845; NCT03917537). Robust indicators are required to: 1) monitor and predict the cellular fates of intratumor subclones presenting heterogeneous genetic profiles and therapeutic vulnerabilities; 2) identify stem cells; 3) track cell communication within the tumor microenvironment (TME); 4) characterize determinants of metabolic plasticity and 5) cancer immune evasion. Furthermore, therapies need to be adapted. This approach requires the integration of multi-parametric models, including in vitro/ex vivo drug screening platforms, in vivo patient-derived models, computational methods, and retrospective/prospective cancer patient studies (Letai et al., 2021). This special issue discusses the evolving concept of biomarkers in cancer therapy, considering the rapid evolution of the treatment landscape. The volume includes 14 contributions encompassing reviews, metadata studies, and original articles. Globally, they provide a comprehensive overview of the current classification of biomarkers, suggest innovative approaches, or rediscuss/implement the validity of biomarker-driven treatments. Discussions involve conventional and personalized therapies.
Virtual Reality in the Management of Chronic Low Back Pain: A Scoping Review

Virtual reality (VR) is a burgeoning treatment option for chronic pain. Its use has been heterogenous in the literature. This scoping review assesses the current literature for the use of VR in the treatment of chronic low back pain (CLBP). The following themes were identified by the analysis: safety and feasibility of VR, quality of life associated with VR treatment for CLBP, efficacy of VR to treat CLBP, and efficacy of VR to treat functional changes associated with CLBP. Gaps were identified after analysis of the extant literature. Although the nascent research uncovered in this scoping review found good evidence for safety and tolerability of VR, more studies of safety, acceptance, and satisfaction are recommended including focused studies of spinal pain risks specific to use of VR. Overall, the methodological quality of studies reviewed in this scoping review was poor and outcomes were limited to short-term posttreatment outcomes.
Visit-to-Visit Heart Rate Variability Is Positively Associated With the Risk of Adverse Cardiovascular Outcomes

Introduction Previous studies found visit-to-visit heart rate variability (VVHRV) may be positively associated with risks of several cardiovascular events, but whether VVHRV affected the benefit of intensive blood pressure control remained unknown. In this study, we assessed the risk of the composite cardiovascular outcomes associated with VVHRV among the older patients with hypertension and evaluated whether the benefit of intensive blood pressure control in the prevention of the composite cardiovascular outcomes was consistent in the context of elevated VVHRV. Methods This was a post-hoc analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). We explored the relationship between VVHRV and the composite cardiovascular outcomes by multivariate Cox proportional hazard regressions. The primary endpoint was the composite cardiovascular outcomes, same as SPRINT, defined as a composite of myocardial infarction, stroke, heart failure, and/or death from cardiovascular causes. We used multiple adjustment models for all regressions. Results Nine thousand two hundred and fourty-seven patients from the SPRINT were included in our analysis. We found a positive association between VVHRV and the risk of composite cardiovascular outcomes among the elderly with hypertension. Per 1 CV increment in HRCV, the hazard ratio of the risk of composite cardiovascular outcomes was 1.04 (95CI: 1.03, 1.05) in the fully adjusted Model. The benefit of intensive blood pressure control in managing cardiovascular events was consistent in different VVHRV subgroups. There was no significant interaction in other confounders. Conclusion We found the VVHRV was associated with the composite cardiovascular outcomes among the elderly with hypertension, intensive blood pressure control did not change the above association, and the benefits of intensive blood pressure management were consistent across different VVHRV groups.
Phosphorylated and Phosphomimicking Variants May Differ—A Case Study of 14-3-3 Protein

Protein phosphorylation is a critical mechanism that biology uses to govern cellular processes. To study the impact of phosphorylation on protein properties, a fully and specifically phosphorylated sample is required although not always achievable. Commonly, this issue is overcome by installing phosphomimicking mutations at the desired site of phosphorylation. 14-3-3 proteins are regulatory protein hubs that interact with hundreds of phosphorylated proteins and modulate their structure and activity. 14-3-3 protein function relies on its dimeric nature, which is controlled by Ser58 phosphorylation. However, incomplete Ser58 phosphorylation has obstructed the detailed study of its effect so far. In the present study, we describe the full and specific phosphorylation of 14-3-3ζ protein at Ser58 and we compare its characteristics with phosphomimicking mutants that have been used in the past (S58E/D). Our results show that in case of the 14-3-3 proteins, phosphomimicking mutations are not a sufficient replacement for phosphorylation. At physiological concentrations of 14-3-3ζ protein, the dimer-monomer equilibrium of phosphorylated protein is much more shifted towards monomers than that of the phosphomimicking mutants. The oligomeric state also influences protein properties such as thermodynamic stability and hydrophobicity. Moreover, phosphorylation changes the localization of 14-3-3ζ in HeLa and U251 human cancer cells. In summary, our study highlights that phosphomimicking mutations may not faithfully represent the effects of phosphorylation on the protein structure and function and that their use should be justified by comparing to the genuinely phosphorylated counterpart.
Time-Fractal in Living Objects

Homeostasis creates self-organized synchrony of the body’s reactions, and despite the energetically open system with intensive external and internal interactions, it is robustly stable. Importantly the self-organized system has scaling behaviors in its allometry, internal structures, and dynamic processes. The system works stochastically. Deterministic reductionism has validity only by the great average of the probabilistic processes. The system’s dynamics have a characteristic distribution of signals, which may be characterized by their frequency distribution, creating a particular “noise” 1/f of the power density. The stochastic processes produce resonances pumped by various noise spectra. The chemical processes are mostly driven by enzymatic processes, which also have noise-dependent resonant optimizing. The resonance frequencies are as many as many enzymatic reactions exist in the target.
Enhancing the Design of Solar-Powered Flapping Wing Air Vehicles Using Multifunctional Structural Components

Flapping wing aerial vehicles (FWAVs) are limited to small batteries due to constraints on the available onboard payload. To increase the energy available for the vehicle, solar cells can be integrated to harvest energy during flight. This addition of available onboard energy increases the flight time of the vehicle and could eventually lead to an infinite flight as long as there is sunlight. However, integration of solar cells is expected to alter flight performance. The changes in performance must be measured and understood. Previously, solar cells have been integrated to the wings of Robo Raven III, a FWAV developed at the University of Maryland. Changes in flight performance were observed, but ultimately the vehicle was still able to maintain flight and an increase in flight time was observed. This paper extends the previous work and further integrates solar cells to the body and tail of the FWAV. Different tail designs were built and the change in performance caused by the difference in each tail was measured and compared. The new FWAV generated 1.8W more than the previous Robo Raven IIIv2 design. The best tail design has provided the longest operational flight time so far and is known as Robo Raven IIIv3. This new platform benefited from an improved tail design and carried 13g more than the original Robo Raven III tail, despite an increase in vehicle mass. © 2015 ASME
BAM: Benchmarking Argument Mining on Scientific Documents

In this paper, we present BAM, a unified B enchmark for A rgument M ining (AM). We propose a method to homogenize both the evaluation process and the data to provide a common view in order to ultimately produce comparable results. Built as a four stage and end-to-end pipeline, the benchmark allows for the direct inclusion of additional argument miners to be evaluated. First, our system pre-processes a ground truth set used both for training and testing. Then, the benchmark calculates a total of four measures to assess different aspects of the mining process. To showcase an initial implementation of our approach, we apply our procedure and evaluate a set of systems on a corpus of scientific publications. With the obtained comparable results we can homogeneously assess the current state of AM in this domain.
Development of a modification of the method for constructing energy-efficient sensor networks using static and dynamic sensors

Due to the widespread use of sensors and sensor networks in the tasks of territory coverage, the relevant criteria are maximizing coverage and minimizing energy consumption. At the same time, the compliance of the network with these criteria is an urgent problem in the modern technological world. A modification of the method for constructing energy-efficient sensor networks is proposed by introducing an additional criterion for minimizing the number of sensors and limiting the number of sensors used, which allows reducing the energy consumption of sensor networks by 19 %. In the resulting optimization problem, the optimality criteria are the functions of minimizing the area of uncovered territory, the value of energy consumption, and the number of sensors. The optimum solution is formed by pairs of values of the coverage radius and the level of intersection of the coverage areas, which provide maximum coverage while minimizing energy consumption and the number of sensors used. To solve the problem, the parameter convolution method and the genetic algorithm were used. In the case of dynamic sensors, the problem is to find such a trajectory of the sensor that provides the maximum flyby of the territory with a minimum length. A grid algorithm is proposed to find the necessary trajectory. The presented algorithm consists in dividing the territory into nodes and estimating the value of the covered territory by the sensor in this node. After the formation of estimates, the search for a Hamiltonian path was used. The case of a multiply connected territory with the possibility of turning it into a simply connected one is considered. A scheme for finding the parameters of energy-efficient coverage of the territory using static and dynamic sensors is proposed.
Other-Oriented Perfectionism in Children and Adolescents: Development and Validation of the Other-Oriented Perfectionism Subscale-Junior Form (OOPjr)

Research on adults indicates other-oriented perfectionism (requiring perfection from others) is associated with various consequential outcomes independent of self-oriented perfectionism (requiring perfection of the self) and socially prescribed perfectionism (believing others require perfection of the self). However, historically, the most widely used and researched measure of trait perfectionism in children, the Child-Adolescent Perfectionism Scale (CAPS), has omitted other-oriented perfectionism. In the present study, we address this by reporting on the multisource development and validation of the first self-report measure of other-oriented perfectionism specifically intended for youths: the Other-Oriented Perfectionism Subscale-Junior Form (OOPjr). Children (N = 107; Mage = 11.5, SD = 1.7) completed the OOPjr, CAPS, and measures of perfectionistic self-presentation, narcissism, social disconnection, depressive symptoms, and parental psychological control. Parents provided ratings of children’s self-oriented, socially prescribed, and other-oriented perfectionism. Psychometric analyses indicated the OOPjr is a homogenous and internally reliable scale that, when factor analyzed alongside the CAPS, displays measurement invariance across gender and replicates the three-factor solution found in adults. Furthermore, parent ratings of other-oriented perfectionism showed unique positive relationships with OOPjr scores, but not CAPS scores. Likewise, other-oriented perfectionism had independent positive relationships with narcissistic superiority and achievement-oriented parental psychological control, after controlling for self-oriented and socially prescribed perfectionism. Overall, our findings provide preliminary support for the use of the OOPjr as a measure of other-oriented perfectionism in youths.
Functional Analysis on Superposition of Harmonic Sources in AC Arc- furnaces

To solve the problem of harmonic level evaluation for AC arc-furnace supply area, this paper analyses the synchronous measuring data of harmonic current in AC arc-furnaces with functional analysis, verifies harmonic current released from AC arc-furnaces with independence and orthogonality approximately between each other, proves superposition of harmonic current in accordance with root of sum of squares, derives the formula for evaluating harmonic voltage level of PCC at which AC arc-furnaces were connected. The formula is verified Actually, it shows that multi-arc-furnaces harmonic current can be largely counteracted each other, If these AC arc-furnaces were connected to a PCC in which short-circuit capacity is enough for that the superposed harmonic current of AC arc-furnaces can be electromagnetic compatible, then power quality of the PCC can reach the qualified level. KEYWORD: AC arc-furnace; superposition of harmonic current; orthogonal; complex-valued co-correlativity coefficient; evaluation of harmonic level.
The Effects of High Power and Low Power Posing on Students’ Pain Threshold

Background and Aim: Research has shown that social power affects information processing in many ways and can induce powerful movements or gestures. This study aimed to investigate the effect of pretending power gestures on changing the pain threshold of a group of female students. Methods & Materials: The method of the present study was quasi-experimental with a pre-test post-test design with a control group. The statistical population of this study included all female students of Arak University in the academic year 2016-2017, from which 60 people selected by convenience sampling method, and randomly divided into three groups: high power posing (sitting on a chair and putting your feet on the table, placing your hands behind your head and holding your head up), low power posing (sitting on a chair with your legs together, arms between your legs and bending your head to bottom) and control. Rosenberg self-esteem scale and tourniquet technique with cuff pressure gauge (to measure pain threshold) used to collect data. After the pre-test measurements and two minutes of gestures, the post-test was performed immediately. Data were analyzed using the analysis of covariance. Ethical Considerations: This study was approved by the ethics committee of Arak University of Medical Sciences (Code: IR.ARAKMU.REC.1399.276). Results: The results showed that pretending high/low power gesture significantly affects pain threshold; pretending to have a high-power gesture increases the pain threshold, and pretending to have a low-power gesture lowers the pain threshold. Conclusion: Based on the results, using power gestures as a simple tool in pain situations is recommended for pain management or as a supplement to analgesics.
The Role of School and Family Education in the Development of Creative Thinking for Youths: Evidence from Vietnamese Context

This article discusses determinant factors of creative thinking skills in students, including demographic features, within and out-of-school experiences, digital usage and ICT (Information and Communication Technology) skills. Structural equated model constructed from 1181 observations from Vietnamese secondary students reveals that students’ digital usage and ICT skills, together with experiences within and outside school are strong predictors of their creativity levels. Demographic features, academic performance and after-school tuition are found insignificant to school learners’ creative abilities. The results provide significant insights into the current situation of skills education and policy implications to improve instructional quality of Vietnam’s education system and other nations with similar sociocultural contexts. Received: 11 November 2021 / Accepted: 14 December 2021 / Published: 5 March 2022
Outage Probability of L-SC Receiver over Exponentially Correlated η – μ Fading Channels

Abstract A mathematical expression for the outage probability of an L branch selection combining diversity receiver is obtained for exponentially correlated η - μ fading channels. A new expression for the joint probability density function of exponentially correlated multivariate η - μ random variable is derived, which is further used to obtain the expression for the outage probability of a SC receiver. Numerical and simulation results are plotted and the effect of fading correlation, L and fading parameter on the outage probability of the receiver are studied. From the obtained result, we observed that it is better to go for lower order diversity with sufficient antenna spacing instead of higher order diversity with less antenna spacing.
Development of Weather Condition Observation System for Wind Turbine Based on Integrated Sensor Module Gateway

In recently, the research for offshore wind power has been activated, and many offshore wind farms have already been built. But the offshore wind turbine in a bad environment that can reduce the length of life. In order to solve these problems, the information on the offshore meteorological environment should be analyzed to provide the responses to the appropriate maintenance. We proposed a method of integration of the sensor gateway to monitor the meteorological information. Firstly, we designed the sensor modules to collect the meteorological information data and next, an integration gateway was designed to obtain the data from sensor modules and to transmit the data to central monitoring system.
Consideration of Energy Storage Circuits for Magnetic Energy Harvesting

In this paper, we propose an energy storage circuits for magnetic energy harvesting. We successfully harvested 104 mW from applied magnetic field of 90 �T at 60 Hz. This magnetic field is smaller than the value that ICNIRP2010 guideline provided. In order to use effectively the harvested energy, we consider energy storage circuits. Because an increase in an output voltage produced an increase in the storage energy, we use Cockcroft-Walton circuit for transform AC to DC voltage and step up voltage. Our proposed storage circuit consists of Cockcroft-Walton circuit, capacitor, and constant voltage circuit. It was found that the storage energy was proportional to the square of number of Cockcroft-Walton circuit steps. From experiments, we successfully demonstrate that our energy harvesting device can provide an energy of 1 J for magnetic flux density of 5.43 �T.
Towards Urban High-technolgy Clusters: An International Comparison

This paper presents the results of a comparative study of 23 urban or regional high-technology clusters (media, ICT, energy, biotechnology) all over the world, analyzing how they were created, how they are managed and how they operate, and the strategies followed to improve and excel in their fields of action. Special attention is given to issues related to descriptive aspects, R&D, performance of the clusters, location factors and incentives to attract companies. The empirical analysis applied to the identified clusters was done through a questionnaire sent to the representatives of the cluster’s management. When analyzing the data, the study has combined quantitative and qualitative methods, depending on the information to be processed. The data collection was done through a selection of indicators chosen in order to cover the different elements that cluster literature coincide in consider essential to develop a competitive economic cluster in urban regions. The main obstacle we find with the information available to carry out this study has been its heterogeneity and different quality of the data. 22@Barcelona appears to be in a good position to compete with other excelling clusters, but it still needs to improve in areas such as financial supply for R&D and start-ups and coordination between the different actors involved in urban economic development. Our research also contributes to the discussion on the role of public institutions in the cluster development policies. In the clusters studied here, especially in 22@Barcelona, we have seen that a capable and resourceful public administration can determine the success of the cluster initiative.
HIGH-THROUGHPUT GENOMIC/PROTEOMIC STUDIES, FINDING STRUCTURE AND MEANING BY SIMILARITY

Sandia National Laboratories, LDRD Program Office, Albuquerque, New Mexico, Sandia National Laboratories is a multi-program laboratory operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.