Miracle-dz/UniFAR-FTUs huggingface dataset:
Measurement report: Introduction to the HyICE-2018 campaign for measurements of ice-nucleating particles and instrument inter-comparison in the Hyytiälä boreal forest

Abstract. The formation of ice particles in Earth's atmosphere strongly influences the dynamics and optical properties of clouds and their impacts on the climate system. Ice formation in clouds is often triggered heterogeneously by ice-nucleating particles (INPs) that represent a very low number of particles in the atmosphere. To date, many sources of INPs, such as mineral and soil dust, have been investigated and identified in the low and mid latitudes. Although less is known about the sources of ice nucleation at high latitudes, efforts have been made to identify the sources of INPs in the Arctic and boreal environments. In this study, we investigate the INP emission potential from high-latitude boreal forests in the mixed-phase cloud regime. We introduce the HyICE-2018 measurement campaign conducted in the boreal forest of Hyytiälä, Finland, between February and June 2018. The campaign utilized the infrastructure of the Station for Measuring Ecosystem-Atmosphere Relations (SMEAR) II, with additional INP instruments, including the Portable Ice Nucleation Chamber I and II (PINC and PINCii), the SPectrometer for Ice Nuclei (SPIN), the Portable Ice Nucleation Experiment (PINE), the Ice Nucleation SpEctrometer of the Karlsruhe Institute of Technology (INSEKT) and the Microlitre Nucleation by Immersed Particle Instrument (µL-NIPI), used to quantify the INP concentrations and sources in the boreal environment. In this contribution, we describe the measurement infrastructure and operating procedures during HyICE-2018, and we report results from specific time periods where INP instruments were run in parallel for inter-comparison purposes. Our results show that the suite of instruments deployed during HyICE-2018 reports consistent results and therefore lays the foundation for forthcoming results to be considered holistically. In addition, we compare measured INP concentrations to INP parameterizations, and we observe good agreement with the Tobo et al. (2013) parameterization developed from measurements conducted in a ponderosa pine forest ecosystem in Colorado, USA.
KEPUASAN MAHASISWA PENDIDIKAN EKONOMI TERHADAP PELAYANAN PERPUSTAKAAN DI FAKULTAS EKONOMI UNIVERSITAS NEGERI SEMARANG

The attributes of library services need to be analyzed in order to satisfy the students needs. The objective of this study were (1) to know the factors that determine Economics Education’s student satisfaction and, (2) to know the most dominant factor in determining their satisfaction of the library‘s services in Economics Faculty, Semarang State University.The data were collected by questionnaire, documentation and interview. Then the data were analyzed by factor analysis and descriptive percentage. The result ofthe factor analysis showed that the 28 analyzed variables were reduced to 23 variables. They were grouped into 8 new factors that determined student satisfaction was 62.668%. Meanwhile, 37.332% was influenced by other factors that are not defined in this model. (1) The convenience and the main products factor was17.971%, (2) the interaction factor was 8.878%, (3) the cleanliness factor was 7.830%, (4) the neatness factor was 6.731%, (5) the means of support factor was 6.348%, (6) the technical performance factor was 5.597%, (7) the building area factor was 4.918% and (8) the complementary product factor was 4.396%.
The Evaluation of Results of Twenty Common Equations for Differentiation of Beta Thalassemia Trait from Iron Deficiency Anemia: A Cross-Sectional Study

Background: Beta Thalassemia Trait (BTT) and Iron Deficiency Anemia (IDA) were two common clinical problems with clinical hypochromic and microcytic manifestations, and their differentiation from each other was very important and needs innovative formulas and laboratory tests. Since the consideration of anemia as a pair with BTT leads to beta-thalassemia major birth in 25% of cases, offering prospective parents detailed information about the likelihood of their offspring developing BTT is essential. The present study aimed to investigate the performance of common equations in differentiation of BTT from IDA. Methods: In the present cross-sectional study, twenty common equations were selected in the differentiation of BTT from IDA. To evaluate the equations, the tests of 292 individuals (73 individuals with BTT and 219 individuals with IDA) were compared with the initial diagnosis of hypochromic and microcytic anemia using the formulas. Descriptive and value indices and Roc curve were utilized for all equations to analyze the results. Results: Among twenty differential equations, Bordbar, Kerman I, II and Srivastava equations had the highest area under Roc curve (AUC) of 0.841, 0.838, 0.836, and 0.830 respectively, but Kandhro I. equation had the lowest AUC (0.378). Conclusion: Given the importance of AUC and value indices of differential equations in clinical decision making, and results of evaluating common equations in differentiation of BTT from IDA. It is essential to improve the values of the equations by re-examining the parameters involved in them.
How Does Communication Structure Influence Team Performance in Complex Tasks

This is an experimental study which is designed to identify the joint relationship between communication density and centrality as independent factors to team performance, discovering how they would jointly affect work team performance. Specially different from existing studies, separating team performance into team efficiency and team effectiveness, we identified differential influences to the two independent factors. Findings suggest a competing relationship between communication density and centrality. A framework was proposed to help managers understand the joint effect of density and centrality on performance. Work team has high communication density and low centrality is “Innovating”, which is likely to have a great extent of ideas, knowledge and information sharing, and reach high effectiveness. Team with high centrality and low density is characterized as “centralized”. Such communication structure may reduce diversity of perspectives and accelerate team decision making. When both density and centrality are low, the team is “Autonomous”. To increase external validity, other factors such as leadership, organizational climate influencing on team performance should be reflected in the future research.
Integrated development approach for a mature oil field

The Bahrain field, discovered in 1932, is a highly faulted asymmetrical north/ south-trending anticline. There are 17 oil-producing and three gas-producing reservoirs. Production mechanisms include gas lifting, pumping, and stop-cocking for gas/oil ratio (GOR) control. The mature and structurally complicated field requires an integrated reservoir-management approach to ensure maximum recovery. Because of the diverse reservoir-management techniques, reservoir characterization, geostatistical application for anisotropy, and increased accuracy for simulation, the field has produced with minimum annual decline. Integrating the geological, seismic, reservoir, and production data enabled extending the productive limits of various reservoirs, thus adding substantial reserves.
Reflection and Refraction of a Spin at the Edge of a Quasi-Two-Dimensional Semiconductor Layer (Quantum Well) and a Topological Insulator

We derive the reflection and refraction laws for an electron spin incident from a quasi-two-dimensional semiconductor region (with no spin–orbit interaction) on the metallic surface of a topological insulator (TI) when the two media are in contact edge to edge. For a given incident angle, there can generally be two different refraction angles for refraction into the two spin eigenstates in the TI surface, resulting in two different ‘spin refractive indices’ (birefringence) and the possibility of two different critical angles for total internal reflection. We derive expressions for the spin refractive indices and the critical angles, which depend on the incident electron’s energy for given effective masses in the two regions and a given potential discontinuity at the TI/semiconductor interface. For some incident electron energies, there is only one critical angle, in which case 100% spin polarized injection can occur into the TI surface from the semiconductor if the angle of incidence exceeds that critical angle. The amplitudes of reflection of the incident spin with and without spin flip at the interface, as well as the refraction (transmission) amplitudes into the two spin eigenstates in the TI, are derived as functions of the angle of incidence.
Integration of an optical FBG sensor into a nuclear magnetic resonance core flooding system

A new platen was designed and developed for a nuclear magnetic resonance (NMR) core flooding cell for the integratation of fibre Bragg grating (FBG) strain sensors. The platen is made from carbon fibre material with a special channel to insert the FBG inside the cell, and it is compatible with an NMR overburden system (i.e. no metal, and also resistant to pressure, temperature and reactive chemicals) to allow, for example, advanced chemical experiments. This development has allowed us to acquire both fluid dynamics behaviour, from NMR, and deformation/elastic properties, from FBG sensors, during NMR core flooding experiments for advanced hydro-mechanical-chemical coupling characterisation. Generally, pore fluid redistribution occurs while changing the surrounding stress and/or temperature conditions of the tested material, and will generate elastic and geomechanical responses. The impact of rock–fluid interactions during NMR core flooding has not been evaluated until now, mainly due to technical limitations. Fortunately, the FBG sensing technique is a localised/discreet micro-strain gauge (8 mm long and 125 micro thick), and it is applicable to the monitoring of pseudo-tomography during core flooding experiments. We recently managed to attach eight FBG sensors on a carbonate rock plug to monitor strain alteration during brine imbibition under 800 psi confining pressure. The results validate the ability of the FBG sensors to track mechanical strength alterations due to pore pressure changes and also to detect waterfront velocity during injection. The integration of FBG sensors into the NMR core flooding system has added a new capability to the NMR overburden system, enabling it to simultaneously monitor material deformation with FBG sensors during pressure/temperature alterations as a first basic application.
The importance of illness severity and multimorbidity in the association between mental health and body weight in psoriasis: Cross‐sectional and longitudinal analysis

Abstract Background High body weight is common in psoriasis and is associated with depression and anxiety. Past studies are mostly cross‐sectional and may underestimate the role of demographic and illness‐related factors in the association between mental health and body weight in psoriasis. Objectives This study explored the association between depression and anxiety with waist circumference and body mass index (BMI) cross‐sectionally and at 12 months follow‐up, adjusting for demographic and illness‐related factors in people with psoriasis. Method Routine psoriasis care data were combined with data on depression and anxiety from a large specialist psoriasis centre. The analytical samples consisted of patients with complete data on either waist circumference (N = 326 at time 1; N = 191 at follow‐up) or BMI (N = 399 at time 1; N = 233 at follow‐up) and corresponding mental health, demographic, and illness‐related information. Associations between weight‐related outcomes and mental health variables were assessed at time one and at 12 months follow‐up, after adjusting for demographic and illness‐related factors. Results We found no evidence of associations between mental health and waist circumference or BMI, after adjusting for age, gender and illness‐related factors. Higher age, male gender and illness‐related factors, specifically multimorbidity and psoriasis severity, were positively associated with waist circumference and BMI at both time points. Conclusion This study revealed the important role of factors related to illness severity in body weight in psoriasis. The contribution of depression and anxiety to weight was not observed here likely due to the sample and methodology used. Future work should explore other psychosocial factors such as weight‐related attitudes and emotional eating in the context of weight in psoriasis, to help inform the development of successful weight‐management treatments.
Scanning dynamic light scattering optical coherence tomography for measurement of high omnidirectional flow velocities

We show scanning dynamic light scattering optical coherence tomography (OCT) omnidirectional flow measurements. Our method improves the velocity measurement limit over conventional correlation-based or phaseresolved Doppler OCT by more than a factor of 2. Our technique is applicable without a-priori knowledge of the flow geometry as our method works both for non-zero Doppler angle and non-ideal scan alignment. In addition, the method improves the particle diffusion coefficient estimation for particles under flow.
Predictor-based control of time-delay systems: a survey

With the developments of wireless data communication and network technology, time-delays are widely found in nowadays' control systems, e.g. networked control systems, mobile robot systems, and multi-agent systems. Predictor-based control is an effective method dealing with long time-delays because it can generally lead to a delay-free closed-loop system by introducing a prediction for future states. Recently, various predictor-based control methods have been developed for numerous control systems subject to different time-delays, which motivates this survey. This paper presents a comprehensive review of the up-to-date results on the predictor-based control of time-delay systems. Firstly, the ordinary differential equation-based approaches for designing and analysing predictor-based controllers are summarised. Secondly, one reports an alternative method of predictor-based control, in which the systems/controllers are understood in the sense of partial differential equations. Next, several integration-free predictor-based controllers are introduced: by abandoning the infinite-dimensional integral terms, the control laws become easier to realise in practice. Hereafter, the paper discusses the real-time implementations and the practical applications of predictor-based control methods to several particular control systems. Finally, this paper suggests some new trends of predictor-based control for future research.
Maximum Entropy Optimal Control of Continuous-Time Dynamical Systems

Maximum entropy reinforcement learning methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of the existing techniques are designed for discrete-time systems although there has been a growing interest to handle physical processes evolving in continuous time. As a first step toward their extension to continuous-time systems, this article aims to study the theory of maximum entropy optimal control in continuous time. Applying the dynamic programming principle, we derive a novel class of Hamilton–Jacobi–Bellman (HJB) equations and prove that the optimal value function of the maximum entropy control problem corresponds to the unique viscosity solution of the HJB equation. We further show that the optimal control is uniquely characterized as Gaussian in the case of control-affine systems and that, for linear-quadratic problems, the HJB equation is reduced to a Riccati equation, which can be used to obtain an explicit expression of the optimal control. The results of our numerical experiments demonstrate the performance of our maximum entropy method in continuous-time optimal control and reinforcement learning problems.
A Data-Driven Iterative Multi-Attribute Clustering Algorithm and Its Application in Port Congestion Estimation

Container port congestion threatens the effectiveness and sustainability of the global supply chain because it stagnates cargo flows and triggers ripple effects across connected, multimodal freight transport networks. This study aims to develop a novel and tangible method to measure port congestion by investigating ship behaviors between different zones in port waters. Different port zones have varying ship densities because ships moor in the anchorage area randomly but dock at berths in an orderly and close fashion. This observation leads us to apply the density-based clustering method for port zone identification and differentiation. In order to ensure the method is globally applicable and accurate, we develop a new clustering algorithm, an iterative, multi-attribute DBSCAN (IMA-DBSCAN), which incorporates an iterative process, together with both spatial information and domain knowledge. The necessary input data for the algorithm is extracted from the Automatic Identification System (AIS), a satellite-based tracking system with real-time ship positioning and sailing data. An illustrative case suggests that our algorithm can rapidly and precisely identify anchorage areas and individual berths (even in a port with complicated geographic features), while other methods cannot. The algorithm is applied to measure congestion at 20 major container ports in the world. The results show a significant increase in congestion at the Port of Los Angeles from August to December 2020, which matches the realistic statistics and proves the efficiency and practical applicability of the proposed algorithm.
The mechanics of iron tailings from laboratory tests on reconstituted samples collected in post-mortem Dam I in Brumadinho

Dam B1 was approximately 85 m high and 700 m long along the crown when it suddenly failed in 25th of January, after 41 years of operations and deposition of tailings at the Paraopeba mining complex (Côrrego de Feijão), in Minas Gerais, Brazil. More than 250 people died and vast economic, social and environmental damages resulted from the collapse. Given the need to geotechnically characterise the tailings within the dam for a credible computational model of the failure, an extensive sampling and laboratory testing campaign took place. The geotechnical laboratory of the Civil Engineering Department at the Faculty of Engineering of the University of Porto (Portugal) was invited by CIMNE, under a contract with VALE, with MPF agreement, to conduct this program. This paper will present a description of the sampling campaigns in the remaining post-mortem dam/reservoir tailings were the failure instability mechanics developed and the experimental program undertaken to test the tailings in advanced laboratory tests. The results that embrace evaluations of the physical, hydraulic and mechanical properties, deduced from integral samples selectively collected and prepared as described, which allowed to define the geotechnical parameters necessary for the referred analyses are here resumed.
How the Preattentive Process is Exploited in Practical Information Visualization Design: A Review

Abstract This review aims to analyze the recent literature to find how the preattentive visual process is currently used in information visualization, particularly to improve the cognitive process in chart comprehension (i.e., perceptual effectiveness). The purpose of our literature review is to provide an overview of how concepts related to the preattentive process are used pragmatically in recent research. We searched different bibliography sources between 2010 and 2021, getting 29 articles that fit the review focus. In general, we discovered that the research work on exploiting the preattentive process in information visualization is currently not thoroughly explored. The main contribution of the paper is the analysis of the papers, from which we identified two categories of research directions according to the primary uses of preattentive concepts: “preattentive attributes as design components,” and “the preattentive process as a measuring tool,” with a gap between these two approaches. The review also highlighted two limitations in the current research literature: most works tend to focus on a particular chart type, only, with difficult to generalize results, and the manipulation of preattentive attributes is done implicitly, without providing to the graph designer the suitable awareness over the design decisions impact. We finally present a proposal about how to use the knowledge about the preattentive process in the first stages of design in information visualization to start closing the gap mentioned above with the graph designer.
Small embedded LTE/WWAN antenna integrated with keyboard ground plane in a laptop computer

A novel small embedded long-term evolution/wireless wide area network (LTE/WWAN) antenna integrated with the keyboard ground plane in a laptop computer is presented. The antenna is installed on a notched region (40 × 8 mm2) of the keyboard ground plane at a distance of 10 mm from the laptop computer hinge. A coupled-fed loop antenna was used because of its suitability for integration with the ground plane and achieving wide operating bands. This antenna can not only be configured to have a compact configuration but also be designed to excite several resonant modes of the hinge slot between the display ground plane and the keyboard ground plane. The proposed antenna comprises a hook-shaped strip and a shorted strip, which together form a coupled-fed loop that not only has a compact size when printed on a 0.8-mm-thick FR4 substrate 40 × 8 mm2 in size but also provides eight-band LTE/WWAN operation. The proposed antenna can cover LTE/WWAN operation in the 698–960 and 1710–2690 MHz bands. Details of the antenna structure are provided here. The proposed antenna was fabricated and tested, and measurement and simulation results are presented. The measured antenna efficiency was approximately 45–80% in the lower band and approximately 52–75% in the upper band.
Neural Network and Cloud Computing for Predicting ECG Waves from PPG Readings

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as auton-omous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.