Miracle-dz/UniFAR-FTUs huggingface dataset:
A method to calculate uncertainty of empirical compressor maps with the consideration of extrapolation effect and choice of training data

Although compressor maps are powerful tools to estimate compressor power consumption quickly, their ability to extrapolate outside their training data range is always questioned. In order to quantify the effect of extrapolation, a method to calculate the uncertainty of compressor map outputs is developed in the current article. The method considers four major components of uncertainties due to various sources such as measurement uncertainties of training data and equation of state. The change of the predicted map uncertainty with the degree of extrapolation and the map accuracy are shown for eight different compressor maps. The results indicate that the uncertainty from model random error increases significantly as the maps extrapolate though extrapolation does not necessarily imply inaccurate compressor map outputs. The results also show that the uncertainty due to training data is the most significant component of uncertainties when the maps are not extrapolated.
Adapting hybrid approaches for electronic medical record management and sharing using blockchain sharding

In the past few years, it is noticed that management and sharing medical records is a key step towards increasing healthcare provider connectivity and making the healthcare system more efficient. The scalability and sustainability issues confer to mismanagement of patient is record and also raised several issues in privacy and security. The study aims to suggest more efficient alternatives for Electronic Healthcare System. Scalability and privacy are the major limitations that existing systems contain so the goal of this study is to define alternatives about how parameters like scalability, usability and data protection could be achieved in an efficient manner for healthcare system. In the healthcare industry, providing accurate, thorough, and up-to-date information on patients is critical. Another feature that allows researchers to consider efficient EHR systems is rapid access to patient records for boosting efficiency and coordination. Blockchain sharding technique is utilized along with hyper-ledger protocols and Proof-of-Authority to carry out our model implementation.
The Effect of Indigenous AMF Applications on The Morpho-Physiological Characteristics of Two Varieties of Shallots on Drought Stress Conditions

One of the limiting conditions for shallot plants to grow optimally is dry land conditions. Indigenous AMF application is one way to overcome this condition. This study aimed to determine the effect of indigenous AMF application on the morpho-physiological characters of two shallot varieties which are sensitive and tolerant to drought stress conditions. The study was carried out for 6 months on a wirehouse and laboratory scale. The Experiment used a completely randomized design with two factors. The first factor was varieties of shallots, i.e. Brebes (Sensitive) and Kuning (Tolerant) varieties of shallots. The second factor was the application of indigenous AMF which consisted of 5 levels i.e. Glomus sp1, Glomus sp2, Glomus sp3, a mixed those three isolates and control treatment (without application of AMF). The morpho-physiological observation parameters included header dry weight, root weight, and leaf proline content. From the observations, it can be concluded that under stressed conditions, the leaf proline content of the sensitive variety accumulated higher in the header than the tolerant variety, because the tolerant variety was better able to produce higher root and header weights when adapting than the sensitive. AMF inoculation did not show significant differences with the treatment without AMF inoculation on leaf proline. However, there was a tendency that inoculation of a mix of AMF isolates (Glomus sp1+Glomus sp2+ Glomus sp3) decrease the proline content in the leaves, both in sensitive and tolerant varieties so that plants are more resistant to drought stress.
Smart tungsten alloys as a material for the first wall of a future fusion power plant

Tungsten is currently deemed as a promising plasma-facing material (PFM) for the future power plant DEMO. In the case of an accident, air can get into contact with PFMs during the air ingress. The temperature of PFMs can rise up to 1200 °C due to nuclear decay heat in the case of damaged coolant supply. Heated neutron-activated tungsten forms a volatile radioactive oxide which can be mobilized into the atmosphere. New self-passivating ‘smart’ alloys can adjust their properties to the environment. During plasma operation the preferential sputtering of lighter alloying elements will leave an almost pure tungsten surface facing the plasma. During an accident the alloying elements in the bulk are forming oxides thus protecting tungsten from mobilization. Good plasma performance and the suppression of oxidation are required for smart alloys. Bulk tungsten (W)–chroimum (Cr)–titanium (Ti) alloys were exposed together with pure tungsten (W) samples to the steady-state deuterium plasma under identical conditions in the linear plasma device PSI 2. The temperature of the samples was ~576 °C–715 °C, the energy of impinging ions was 210 eV matching well the conditions expected at the first wall of DEMO. Weight loss measurements demonstrated similar mass decrease of smart alloys and pure tungsten samples. The oxidation of exposed samples has proven no effect of plasma exposure on the oxidation resistance. The W–Cr–Ti alloy demonstrated advantageous 3-fold lower mass gain due to oxidation than that of pure tungsten. New yttrium (Y)-containing thin film systems are demonstrating superior performance in comparison to that of W–Cr–Ti systems and of pure W. The oxidation rate constant of W–Cr–Y thin film is 105 times less than that of pure tungsten. However, the detected reactivity of the bulk smart alloy in humid atmosphere is calling for a further improvement.
Quasi-optical system for the DESHIMA spectrometer

DESHIMA is a superconducting on-chip spectrometer using MKIDs in the sub-mm wavelength regime (240-720 GHz, 1:3 bandwidth). This thesis presents (1) an analysis of the quasi-optical system used for DESHIMA on the ASTE telescope in Chile (2) design of the room-temperature optics of this design and (3) a preliminary investigation into an ultra-wideband leaky-lens antenna suitable for multi-pixel, constant aperture efficiency operation to be used as a feed to high f-number (g2) reflectors. The designed and analyzed optics show good performance and tolerance for the fall 2017 campaign of DESHIMA-on-ASTE. The wideband investigation leads to constant, g70% optical efficiency over the 1:3 bandwidth for a single pixel design (f-num=3.7) or g55% optical efficiency with multiple pixels spaced at 2*\lambda*f-number (f-num=5). Future work must be done to optimize the radiation efficiency of the antenna over the whole bandwidth, which is now the largest obstacle to frequency-dispersion free aperture efficiency.
Development of microsatellite markers and genetic diversity of the velvetbean caterpillar Anticarsia gemmatalis (Lepidoptera: Erebidae)

The velvetbean caterpillar Anticarsia gemmatalis (VBC) is widely distributed in the Americas and causes severe damage to soybean foliage. This insect presents high ecological plasticity, a feature that is of great importance to understand its genetic diversity and potential gene flow to assist in resistance management strategies. With this objective, we developed microsatellite markers for VBC and applied them to five populations from Brazil. Nine primers were polymorphic, with high values of polymorphic information content (PIC > 0.5), and 134 alleles were identified in 155 individuals. These primers indicated deviation from the Hardy–Weinberg equilibrium for all populations (observed heterozygosity, Ho = 0.48, expected heterozygosity, He = 0.76), with moderate to high levels of genetic diversity and a moderate fixation index (FST = 0.14) among the populations. Analysis of population structure indicated the formation of two principal clusters. The northern one can be divided into the two populations that formed the cluster, with high genetic differentiation between them. The other cluster is formed by three populations, and we found evidence of low gene flow between them in the south–north direction, indicating that these populations may be migratory in certain conditions. These findings indicate that the designed primers were effective in describing the genetic diversity of VBC, with major implications for integrated pest management. Given the little gene flow and the high genetic diversity of populations, they present great potential to become resistant to control practices, which can lead to increased management costs.
Intrinsic point defects in inorganic perovskite CsPbI3 from first-principles prediction

Cubic inorganic perovskite CsPbI3 is a direct bandgap semiconductor, which is promising for optoelectronic applications, such as solar cells, light emitting diodes, and lasers. The intrinsic defects in semiconductors play crucial roles in determining carrier conductivity, the efficiency of carrier recombination, and so on. However, the thermodynamic stability and intrinsic defect physics are still unclear for cubic CsPbI3. By using the first-principles calculations, we study the thermodynamic process and find out that the window for CsPbI3 growth is quite narrow and the concentration of Cs is important for cubic CsPbI3 growth. Under Pb-rich conditions, VPb and VI can pin the Fermi energy in the middle of the bandgap, which results in a low carrier concentration. Under Pb-poor conditions, VPb is the dominant defect and the material has a high concentration of hole carriers with a long lifetime. Our present work gives an insight view of the defect physics of cubic CsPbI3 and will be beneficial for optoelect.
Graph theory applied to speech: insights on cognitive deficit diagnosis and dream research

In the past ten years, graph theory has been widely employed in the study of natural and technological phenomena. The representation of the relationships among the units of a network allow for a quantitative analysis of its overall structure, beyond what can be understood by considering only a few units. Here we discuss the application of graph theory to psychiatric diagnosis of psychoses and dementias. The aim is to quantify the flow of thoughts of psychiatric patients, as expressed by verbal reports of dream or waking events. This flow of thoughts is hard to measure but is at the roots of psychiatry as well as psychoanalysis. To this end, speech graphs were initially designed with nodes representing lexemes and edges representing the temporal sequence between consecutive words, leading to directed multigraphs. In a subsequent study, individual words were considered as nodes and their temporal sequence as edges; this simplification allowed for the automatization of the process, effected by the free software Speech Graphs. Using this approach, one can calculate local and global attributes that characterize the network structure, such as the total number of nodes and edges, the number of nodes present in the largest connected and the largest strongly connected components, measures of recurrence such as loops of 1, 2, and 3 nodes, parallel and repeated edges, and global measures such as the average degree, density, diameter, average shortest path, and clustering coefficient. Using these network attributes we were able to automatically sort schizophrenia and bipolar patients undergoing psychosis, and also to separate these psychotic patients from subjects without psychosis, with more than 90% sensitivity and specificity. In addition to the use of the method for strictly clinical purposes, we found that differences in the content of the verbal reports correspond to structural differences at the graph level. When reporting a dream, healthy subjects without psychosis and psychotic subjects with bipolar disorder produced more complex graphs than when reporting waking activities of the previous day; this difference was not observed in psychotic subjects with schizophrenia, which produced equally poor reports irrespective of the content. As a consequence, graphs of dream reports were more efficient for the differential diagnosis of psychosis than graphs of daily reports. Based on these results we can conclude that graphs from dream reports are more informative about mental states, echoing the psychoanalytic notion that dreams are a privileged window into thought.
A sub-µW low temperature sensitivity CMOS RC oscillator

Nowadays, portable imaging surveillance systems are widely used in military and civil fields. Such systems always need low power consumption to meet the requirements of long-term operation. These systems are in standby mode during most of the time and woken up at a regular interval for a very short time to perform a measurement. Accordingly, a low power oscillator as wake-up clock generator is needed. In this paper, a sub-μW low temperature sensitivity RC oscillator is presented. Unlike the traditional CMOS RC oscillator with double comparators, it contains only one hysteresis comparator and operates in subthreshold region to reduce current consumption. The oscillator has been designed and simulated in a standard 0.18 μm CMOS process, achieving a frequency of 100 kHz. The variation of frequency is ±1:65% over the temperature range from -10°C to 110°C. The current consumption is 332 nA under a supply voltage of 1.8 V at room temperature. The occupied area is merely 0.01 mm2 without pads.
Comparison of regression models to estimate biomass losses and CO2 emissions using low-density airborne laser scanning data in a burnt Aleppo pine forest

ABSTRACT The knowledge of the forest biomass reduction produced by a wildfire can assist in the estimation of greenhouse gases to the atmosphere. This study focuses on the estimation of biomass losses and CO2 emissions by combustion of Aleppo pine forest in a wildfire occurred in the municipality of Luna (Spain). The availability of low point density airborne laser scanning (ALS) data allowed the estimation of pre-fire aboveground forest biomass. A comparison of nine regression models was performed in order to relate the biomass, estimated in 46 field plots, to several independent variables extracted from the ALS data. The multivariate linear regression selected model, including the percentage of first returns above 2 m and 40th percentile of the return heights, was validated using a leave-one-out cross-validation technique (6.1 ton/ha root mean square error). Biomass losses were estimated in a three-phase approach: (i) wildfire severity was obtained using the difference normalized burn ratio , (ii) Aleppo pine forest was delimited using the National Forest Map and ALS data and (iii) burning efficiency factors were applied considering severity levels. Post-fire biomass was then transformed into CO2 emissions (426,754.8 ton). This study evidences the usefulness of low-density ALS data to accurately estimate pre-fire biomass, in order to assess CO2 emissions in a Mediterranean Aleppo pine forest.
Compositional Nonparametric Prediction: Statistical Efficiency and Greedy Regression Algorithm

In this paper, we propose a compositional nonparametric method in which a model is expressed as a labeled binary tree of 2k + 1 nodes, where each node is either a summation, a multiplication, or the application of one of the q basis functions to one of the p covariates. We show that in order to recover a labeled binary tree from a given dataset, the sufficient number of samples is O(k log(pq) + log(k! )), and the necessary number of samples is Ω(k log(pq) − log(k! )). We further propose a greedy algorithm for regression, and evaluate its effectiveness through synthetic as well as real-world experiments.
Waves plus currents crossing at a right angle: near-bed velocity statistics

ABSTRACT Wave–current flow over a bottom covered with different roughness elements was analysed to provide new insights into the statistical properties of the near-bed velocity. Experimental data of three different experimental campaigns, with orthogonal waves and currents over a sandy bed, a gravel bed and a rippled bed were used. Velocity profiles were acquired by means of a micro-ADV. The paper focuses on the effects that the waves have on the statistics of the velocity in the current direction. In particular, in the case of a steady current only, the near-bed velocities closely follow a Gaussian distribution. When waves are added, the distribution becomes double-peaked. In order to get single-peaked velocity distributions the total velocity events in the current direction were split in two classes according to the sign of the wave directed velocities. The nature of the distribution functions is influenced by the mass conservation principle and, in the rippled bed case, by the vorticity dynamics.
Integrated report, information asymmetry, and cost of equity

This research ran to examine the effect of Integrated Report (IR) on Information Asymmetry (IA) and the Cost of Equity (COE) of companies. The sample companies were those registered in the International Integrated Reporting Council (IIRC) database from 2013 to 2015. The test results using multiple linear regression proved that IR affected IA negatively and that each part of IR, namely Guiding Principles and Content Elements, had a direct negative impact. The higher IR, the lower both IA and COE. The results of this study may contribute on the increasing information quality in Indonesia.
Proposing A Web-Based Interactive Module for Education for Sustainable Development in English for Computer Science

English for Computer Science (ECS), as part of English for Specific Purposes (ESP), is designed to teach students the English required in computer science. In this paper, the writers proposed to incorporate Education for Sustainable Development (ESD) into ECS to encourage student engagement by presenting current concerns relevant to their life experiences. The work is a position paper in which the writers argue for the importance of building a web-based interactive module for ESD in ECS. Our arguments are supported in the following sections; English for Specific Purposes (ESP), Content Language Integrated Learning (CLIL), English for Computer Science (ECS), Education for Sustainable Development (ESD), Instructional Material limited to Module and E-Module, and related research. The writers propose developing an interactive web-based module for ESD in ECS so that students have more fun while they are studying. It is anticipated that students will be able to study the module at their own pace and according to their capabilities. This module is paperless; it contributes to the Sustainable Development Goals (SDGs). As instructional materials, the module will also assist ECS students in overcoming classroom time constraints and relating what they learn to future concerns, careers, and professionalism.
The discovery of two new species in the Cyrtodactylus irregularis group highlights that hidden diversity remains in the largest clade of the mega-diverse genus Cyrtodactylus

The Cyrtodactylus irregularis group, originally considered to consist of only one taxon, has been split into 26 species. We herein present the distribution of all species within the group in Cambodia, Laos and Vietnam and describe two new species based on integrative analyses. Cyrtodactylus chumuensis sp. nov. is discovered from Dak Lak Province and distinguished from the remaining taxa by more than 11.86% genetic divergence and by the following distinct morphological characters: size medium (SVL 67.5 mm); enlarged femoral scales on each thigh 4–5, femoral pores 0–2 in males; precloacal pores 6–7 in males; ventral scale rows 43–45; lamellae under toe IV 17–21. Cyrtodactylus arndti sp. nov. is described from Binh Dinh Province and genetically differentiated from its congeners by a minimum of 11.42% and by the following characters: adult size medium (SVL 73.4–80.8 mm); enlarged femoral scales on each thigh 5–11; femoral pores 0–2 in males; 6 precloacal pores in males, females with 6 pitted precloacal pores; ventral scale rows 26–38; lamellae under toe IV 17–22; subcaudal scales transversely enlarged. Additionally, we highlight the potential cryptic diversity with the taxon currently regarded as C. pseudoquadrivirgatus and understudied areas in Vietnam where new species will likely be discovered.
Cross-Cultural Calibration of Words and Emotions: Referential, Constructionist, and Pragmatic Perspectives

Emotion-related words differ across societies and eras. Does this mean that emotions themselves differ in similar ways? Three perspectives on language-emotion relations suggest alternative answers to this question. A referential approach implies that any language's emotion concepts provide a potentially perfectible mapping of the emotional world. Constructionist approaches suggest that linguistic concepts shape culturally different emotion perceptions. By contrast, a pragmatic approach emphasizes the performative functions served by conversational uses of emotion words. From this perspective, emotional language is attuned to culture-specific requirements for aligning relations between people and objects. Thus, emotional utterances may be constituents of socially functional emotions rather than separate commentaries on them. Full understanding of cultural variation requires investigation of naturalistic emotional conversations in different societies.
The Scope of Parental Involvement as a Social Capital of Emirati Children: A Case Study

The purpose of this case study was to investigate how Emirati parents were involved in their children's education. The data of this study were collected through semi-structured interviews with parents equally distributed from both genders (n=12) and whose children were registered at public and private schools in one of the UAE's major cities. Parents were interviewed concerning the importance of education as social capital, parents’ and children’s gender. Results demonstrated that parents viewed education as part of social mobility, and it is vital as social capital. Furthermore, Parents believed that their involvement in their children's education was influenced by their gender, as well as by the age and gender of their children. Mothers believed that they are more involved in their children’s education than fathers. Parents viewed themselves as falling short on focusing on parent-initiated involvement activities instigated by schools due to a variety of barriers that affect their participation in school-initiated parental involvement activities. Recommendations for future research include school initiatives focusing on parental involvement and raising parents’ awareness about school-initiated parental involvement activities to enable parents’ participation.
On a numerical methodology to assess the fatigue life of connecting rods

Although simulation-based fatigue analysis is a standard tool adopted in every sector including automotive industry, the design of engine components in automotive and motorsport applications mostly relies on simplified design approaches supported by time-consuming testing programs. This manuscript proposes a new methodology based on individual engine speed damage estimation and engine speed time history combined with Palmgren-Miner linear damage rule to predict the fatigue state of the connecting rod. The track data, engine multibody simulation (AVL ExciteTM) and engine combustion simulation (AVL BoostTM) are used to generate the initial variable trace that is processed to obtain the block programs. Stress amplitude estimated with finite element analysis (Abaqus) are used to estimate the damage from S-N curve and the cumulative damage is estimated with Palmgren-Miner cumulative damage model. The method proposed is demonstrated using a connecting rod case study and the duty cycle from the race on Sebring international raceway. This work shows the suitability of the approach and the benefit in terms of accuracy in the prediction of the fatigue life.