Miracle-dz/UniFAR-FTUs huggingface dataset:
Linearly convergent gradient-free methods for minimization of parabolic approximation

Finding the global minimum of non-convex functions is one of the main and most difficult problems in modern optimization. In the first part of the paper, we consider a certain class of"good"non-convex functions that can be bounded above and below by a parabolic function. We show that using only the zeroth-order oracle, one can obtain the linear speed $\log \left(\frac{1}{\varepsilon}\right)$ of finding the global minimum on a cube. The second part of the paper looks at the nonconvex problem in a slightly different way. We assume that minimizing the quadratic function, but at the same time we have access to a zeroth-order oracle with noise and this noise is proportional to the distance to the solution. Dealing with such noise assumptions for gradient-free methods is new in the literature. We show that here it is also possible to achieve the linear rate of convergence.
Establishment and Analysis of a Combined Diagnostic Model of Liver Cancer with Random Forest and Artificial Neural Network

The incidence of liver cancer (hepatocellular carcinoma; HCC) is rising and with poor clinical outcome expected, a more accurate judgment of tumor tissues and adjacent nontumor tissues is necessary. The aim of this study was to construct a diagnostic model based on random forest (RF) and artificial neural network (ANN). It can be used to aid in the identification of diseased tissue such as cancerous tissue, for HCC clinical diagnosis and surgical guidance. GSE36376 and GSE121248 from Gene Expression Omnibus (GEO) were used as training sets in this investigation. R package “limma” and WGCNA were used to filter the training set for statistically significant p < 0.05 differential genes. To better understand the biological function and characteristics, R software was used to perform GO and KEGG enrichment analyses. To pick out and further understand the key genes, we performed PPI analysis and random forest tree analysis. Next, we built the ANN to predict training sets and validation set (GSE84402), and ROC curve was plotted to calculate area under curve (AUC). Then immune cell infiltration indicated difference of immune cell subsets between control and case groups. Finally, the survival analysis of key genes was also carried out based on data in TCGA database. Based on the expression of these 9 genes, we built the artificial neural network (ANN) and the accuracy of the final models was assessed with an ROC curve. The areas under the ROC curve were 0.984 (95% CI 0.972–0.993) in training sets. Its predictive capability was further assessed using the validation set. And the areas under the ROC curve were 0.929 (95% CI 0.786–1.000). In summary, this method effectively classifies hepatocellular carcinoma tissues and the corresponding noncancerous tissues and provides reasonable new ideas for the early diagnosis of liver cancer in the future.
Design of emotional web interface using inSite factors

This paper presents an approach to improving the hedonic qualities of web interfaces based on the principles of emotional design. A computational model of emotional web is formulated for the construction of a system which dynamically responds to the emotion changes of users after an analysis of their inputs to the system and the way in which they browse the contents. By adapting the interface with predefined patterns of emotional transition, the system is expected to stimulate the users and increase their positive emotion by giving cognitive support. A list of the elements of interface that may affect emotion are described and evaluated.
Lifting the curtain on contemporary office: Expected versus actual practices of virtual multispace office

Objective of the study The production process of the 21st century in Western countries is increasingly concentrated on creating and sharing knowledge, while the production of physical goods is outsourced to lowercost economies. This so-called knowledge work often takes place outside the traditional temporal and spatial employment spheres as work can often be conducted anytime and anywhere with a laptop and an interned connection. To support these new flexible ways of working, there has been a recent trend in office design towards virtual multispace office design. The purpose of this study is to understand the expectations of managers and designers versus the actual practices of employees as to the use of virtual multispace office space and how the office design has consequence on the everyday work practices of the organizational members. Research method: Earlier research on office spaces in organizational studies has mainly taken the perspective of seeing them as abstract macro-level organizational systems, making assumptions on how organizations adapt to their changing environments through office design. In order to broaden our understanding of organizational life and its consequences of office design, this thesis will adopt a practice perspective in studying organizations one that sees social and material as mutually entangled or imbricated. The research method utilized in data collection follows the principles of practice theory with fieldwork comprised of direct observations and interviews and informal discussion. Findings: The empirical data revealed how the office space is not a stable box that could be imposed with expected ways of using the space, assuming that the employees would act according to the intentions but that both space and materiality emerge as dynamic and generative forces shaping the individuals appropriating the office space in an on-going manner. This finding became evident through the interplay of identified accommodating practices that were aligned as well as through the resisting practices that were misaligned to the intended ways of using the virtual multispace office. Furthermore, a paradox between the managerial and design discourse on ways of using the virtual multispace office and the realized materiality of the office space was identified.
Comparative Numerical Studies on the Structural Behavior of Buried Pipes Subjected to Extreme Environmental Actions

Globally, there are several critical infrastructure networks (water and gas networks) whose disruption or destruction would significantly affect the maintenance of vital societal functions, such as the health, safety, security, and social or economic well-being of people. They would also have significant local, regional, and national impacts as a result of the inability to maintain those functions, and would have similar cross-border effects. The main objective of this article is to investigate by comparative numerical studies the structural response of three types of buried pipes made of different materials, primarily steel, concrete, and high-density polyethylene, resulting from the impact of the environment through exceptional external actions, such as explosions at the surface of the land in the vicinity of the laying areas. The dynamic transient analysis of the equation of motion with the application of the explicit integration procedure was performed with the ANSYS numerical simulation program. This study allows designers to solve complex problems related to the quality of the laying ground of water networks to canals. The knowledge accumulated gives us the possibility to correctly specify the optimal economic and technical value of the ratio between the laying depth of pipes and their diameter, the importance of the radius ratio of the pipe and the thickness of its wall, and, importantly, the improvement of the quality of the foundation ground. Following the results obtained, it is estimated that the optimal economic and technical value of the ratio between the laying depth of the pipes (H) and their diameter (D) is 3, regardless of the material from which the pipe is made.
Do Self-Reported Psychopathic Traits Moderate the Relations Between Delinquent History Predictors and Recidivism Outcomes in Juvenile Delinquents?

The present study investigates whether self-reported psychopathic traits moderate the relationships between delinquent career features (i.e., age of first detention in a juvenile detention center, crime frequency, crime diversity, crime charges, and Conduct Disorder) and 1-year general delinquency and violent delinquency recidivism outcomes. The sample was composed of male youth (N = 214, M = 16.4 years, SD = 1.3 years) originating from the juvenile detention centers managed by the Ministry of Justice of Portugal. Results mostly suggest that neither the Antisocial Process Screening Device––Self-Report total score nor its Callous-Unemotional, Impulsivity, and Narcissism factor scores moderate the relationships between the delinquent career variables and general and violent delinquency recidivism outcomes. The notable exception was the interaction between crime frequency and callous-unemotional traits in predicting general recidivism. The current findings question the relevance of self-reported psychopathic traits as moderators of recidivism among juveniles despite the general association between psychopathy and conduct problems among youth.
Simulation Calculation of the Tie-in Clasp Stress of the TiNiFe SMA Tube

It has high actual application value for the TiNiFe Shape Memory Alloy(SMA)tube tie-in using in the inaviation area to research the quantitative relationship of the TiNiFe SMA tube tie-in clasp stress with different wall thicknesses along with time.Basing on the dynamics modeling and the formula calculation of the TiNiFe SMA,this paper accomplishes the calculation simulation of the TiNiFe SMA tube tie-in clasp stress during the calefactive process taking use of computer software programming,and gaines the simulation curve that describes the TiNiFe SMA tube tie-in clasp stress in the calefactive state along with time.The tube tie-in wall thickness's effect on the tube tie-in clasp stress is emphatically researched and validated through the actual experiment,and it is found that the calefactive changing process is very short and clasp stress produced by tube tie-in with wall thickness less than 2.5 mm almost linearly increases along with the wall thickness increasing.
Integrated Multiomics Analysis of Salivary Exosomes to Identify Biomarkers Associated with Changes in Mood States and Fatigue

Fatigue and other deleterious mood alterations resulting from prolonged efforts such as a long work shift can lead to a decrease in vigilance and cognitive performance, increasing the likelihood of errors during the execution of attention-demanding activities such as piloting an aircraft or performing medical procedures. Thus, a method to rapidly and objectively assess the risk for such cognitive fatigue would be of value. The objective of the study was the identification in saliva-borne exosomes of molecular signals associated with changes in mood and fatigue that may increase the risk of reduced cognitive performance. Using integrated multiomics analysis of exosomes from the saliva of medical residents before and after a 12 h work shift, we observed changes in the abundances of several proteins and miRNAs that were associated with various mood states, and specifically fatigue, as determined by a Profile of Mood States questionnaire. The findings herein point to a promising protein biomarker, phosphoglycerate kinase 1 (PGK1), that was associated with fatigue and displayed changes in abundance in saliva, and we suggest a possible biological mechanism whereby the expression of the PGK1 gene is regulated by miR3185 in response to fatigue. Overall, these data suggest that multiomics analysis of salivary exosomes has merit for identifying novel biomarkers associated with changes in mood states and fatigue. The promising biomarker protein presents an opportunity for the development of a rapid saliva-based test for the assessment of these changes.
Dimerization Tendency of 3CLpros of Human Coronaviruses Based on the X-ray Crystal Structure of the Catalytic Domain of SARS-CoV-2 3CLpro

3CLpro of SARS-CoV-2 is a promising target for developing anti-COVID19 agents. In order to evaluate the catalytic activity of 3CLpros according to the presence or absence of the dimerization domain, two forms had been purified and tested. Enzyme kinetic studies with a FRET method revealed that the catalytic domain alone presents enzymatic activity, despite it being approximately 8.6 times less than that in the full domain. The catalytic domain was crystallized and its X-ray crystal structure has been determined to 2.3 Å resolution. There are four protomers in the asymmetric unit. Intriguingly, they were packed as a dimer though the dimerization domain was absent. The RMSD of superimposed two catalytic domains was 0.190 for 182 Cα atoms. A part of the long hinge loop (LH-loop) from Gln189 to Asp197 was not built in the model due to its flexibility. The crystal structure indicates that the decreased proteolytic activity of the catalytic domain was due to the incomplete construction of the substrate binding part built by the LH-loop. A structural survey with other 3CLpros showed that SARS-CoV families do not have interactions between DM-loop due to the conformational difference at the last turn of helix α7 compared with others. Therefore, we can conclude that the monomeric form contains nascent enzyme activity and that its efficiency increases by dimerization. This new insight may contribute to understanding the behavior of SARS-CoV-2 3CLpro and thus be useful in developing anti-COVID-19 agents.
Validation of Hexoskin biometric shirt to COSMED K4 b2 metabolic unit in adults during trail running

Abstract Wearable biometric technology use has increased in recent years. The Hexoskin biometric shirt is a wearable technology that monitors heart rate (HR), ventilatory rate (VR), minute ventilation (VE), step count, and energy expenditure (EE). It is unknown whether the Hexoskin biometric shirt produces valid results in the field. Participants (N = 26) completed a self-paced 1.6 km trail run wearing the Hexoskin biometric shirt and the COSMED K4 b2 portable metabolic system. Data for HR, VR, and VE were analyzed in six one-minute increments occurring the first three minutes and the last three minutes of the run. Data for step count and energy expenditure were analyzed for the entire trail run. HR, VR, VE, step count, and EE data were analyzed using Pearson product-moment correlation with significance at p < . 05. HR, VE, step count, and EE measures at all time points were not significantly correlated. VR measures at all time points were significantly correlated (p < .001). Our results indicate the Hexoskin biometric shirt provides valid measures of VR. For all other measures, the Hexoskin does not provide valid real time results.
A review of wood warbler (Parulidae) predation of vertebrates and descriptions of three new observations

Wood warblers (Parulidae) eat insects, spiders and other small arthropods, fruit, and nectar, but have also been doc-umented preying on vertebrates. We conducted a literature review to determine which species of Parulidae have been observed capturing or consuming vertebrate species, such as small lizards, amphibians, and fish. We also include information and discussion of three previously unpublished observations: 1) a Black-and-white Warbler ( Mniotilta varia ) photographed with a bark anole ( Anolis distichus ) in its mouth on San Salvador Island, The Bahamas, 2) a Black-and-white Warbler that had small lizard bones ( Anolis spp.) in its stomach contents in Jamaica, and 3) a Yellow-throated Warbler ( Setophaga dominica ) photographed preying on a brown anole ( Anolis sagrei ) in Florida, USA. The latter observation was particularly interesting as the brown anole shed its tail and briefly escaped before being recaptured by the warbler. Including these three unpublished events, our literature review found 24 separate records of 12 Parulidae species preying on vertebrates. The majority of predation records were of lizards (58%), with an additional 25% predation records of amphibians and 17% of fish. We hypothesize that vertebrate predation by wood warblers is opportunistic and potentially limited by the difficulty in capturing, handling, and consuming larger vertebrate prey. There is also non-mutually exclusive evidence to suggest birds exhibit plasticity in prey items, partially switching to larger, more difficult-to-handle vertebrate prey during taxing periods when invertebrate prey are less available. Our study synthesizes previous work and can assist future research in better understanding trophic interactions, foraging efficiency and prey size, evolution, and the natural history of both warblers and their vertebrate prey.
A novel dual-loop ground-radiation antenna for circularly polarized GNSS applications

In this investigation, a circularly polarized (CP) dual-loop ground-radiation antenna has been proposed for GPS applications using a transverse loop and a longitudinal loop. The transverse loop is designed within an 8 mm × 4.5 mm (0.042λ × 0.024λ) clearance, installed at the horizontal edge of the ground plane for excitation of the ground mode along the y-axis, whereas a 1 mm × 10 mm (0.005λ × 0.053λ) longitudinal loop is etched at the vertical edge of the ground plane for excitation of the ground mode along the x-axis. In this way, the magnitudes and phases of the orthogonal components of the radiated electric field have been controlled independently, satisfying the CP conditions. The proposed antenna produced right-hand circular polarization towards the + z-axis, which has been verified using rectangular and square-shaped ground planes. Both simulation and measurement were conducted, and the measured axial ratio bandwidth with reference to 3 dB was 20 MHz (1.27%) while the impedance bandwidth with reference to −6 dB was 141 MHz (8.95%).
Prospective Design through Collaborative Workshops between Enterprises and Design Schools: The HP & Elisava Design School Experience

Collaborative workshops are a very useful tool both for enterprises and design schools. For enterprises they are a great way to get fresh insights of new trends and new visions not polluted with the biased viewpoints of the company culture. These insights and trends are then interpreted internally through concept creation sessions in order to translate the relevant information into actionable knowledge for the company. For design schools it means the chance to offer to their students better experiences and a better studies’ programs. Thus, according to the enterprises participating in these collaborative workshops the school becomes a more attractive option for future students. Moreover, for the students it represents the chance to work in a real environment, with real needs and real methodologies used in the design development process by successful companies. Through the paper, benefits and results of collaborative workshops carried out between Hewlett Packard EMEA Design Centre and Elisava School of Design are discussed. Moreover, processes that have been used as well as the methodology are deeply analyzed. Through an extensive explanation of the different phases of the collaborative workshop the importance of the balance between the participation of experts from the company and the guidance provided by design professors from the school is recognised. The study leads to consideration of the collaborative workshops between enterprises and design schools as a valid tool for prospective design development.
Open-source python-OpenDSS interface for hybrid simulation of PV impact studies

This study introduces an open-source Python-OpenDSS simulation tool where the phasor simulation software OpenDSS is interfaced with an electromagnetic transient (EMT) program-type simulation tool implemented in Python environment. The tool is designed to perform impact study of photovoltaic (PV) integration in distribution systems. It is composed of an EMT model of a grid-tied PV system interfaced with a phasor model of the distribution network. The proposed tool provides an add-on that expands OpenDSS capabilities in order to perform various PV impact studies that cannot be performed inherently by OpenDSS since they require detailed modelling. This study describes the methodology and theory behind the interfacing of the EMT model with OpenDSS. The tool is tested with various case studies using the IEEE 37-bus system with multiple interconnected PV systems. The tool is validated by comparing its results with those of a full EMT model of the IEEE 37-bus system simulated using SimPowerSystems. The results indicate that the hybrid tool offers significant advantages over single-rate simulations that use either full phasor or full EMT simulation approach. It provides faster simulation time and less computational intensity, and the accuracy is remarkably close to the full blown, more complex and slower, EMT simulation.
3D Browsing of Wide‐Angle Fisheye Images Under View‐Dependent Perspective Correction

This paper presents a novel technique for 3D browsing of wide‐angle fisheye images using view‐dependent perspective correction (VDPC). First, the fisheye imaging model with interior orientation parameters (IOPs) is established. Thereafter, a VDPC model for wide‐angle fisheye images is proposed that adaptively selects correction planes for different areas of the image format. Finally, the wide‐angle fisheye image is re‐projected to obtain the visual effect of browsing in hemispherical space, using the VDPC model and IOPs of the fisheye camera calibrated using the ideal projection ellipse constraint. The proposed technique is tested on several downloaded internet images with unknown IOPs. Results show that the proposed VDPC model achieves a more uniform perspective correction of fisheye images in different areas, and preserves the detailed information with greater flexibility compared with the traditional perspective projection conversion (PPC) technique. The proposed algorithm generates a corrected image of 512 × 512 pixels resolution at a speed of 58 fps when run on a pure central processing unit (CPU) processor. With an ordinary graphics processing unit (GPU) processor, a corrected image of 1024 × 1024 pixels resolution can be generated at 60 fps. Therefore, smooth 3D visualisation of a fisheye image can be realised on a computer using the proposed algorithm, which may benefit applications such as panorama surveillance, robot navigation, etc.
Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe

We used the objective analysis method in conjunction with the successive correction method to assimilate MODerate resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) data into the Chimère model in order to improve the modeling of fine particulate matter (PM2.5) concentrations and AOD field over Europe. A data assimilation module was developed to adjust the daily initial total column aerosol concentrations based on a forecast-analysis cycling scheme. The model is then evaluated during one-month winter period to examine how such a data assimilation technique pushes the model results closer to surface observations. This comparison showed that the mean biases of both surface PM2.5 concentrations and the AOD field could be reduced from −34 to −15% and from −45 to −27%. The assimilation, however, leads to false alarms because of the difficulty in distributing AOD550 over different particle sizes. The impact of the influence radius is found to be small and depends on the density of satellite data. This work, although preliminary, is important in terms of near-real time air quality forecasting using the Chimère model and can be further developed to improve modeled PM2.5 and ozone concentrations.