Miracle-dz/UniFAR-FTUs huggingface dataset:
Infrasound for HRI: A Robot Using Low-Frequency Vibrations to Impact How People Perceive its Actions

We investigate robots using infrasound, low-frequency vibrational energy at or near the human hearing threshold, as an interaction tool for working with people. Research in psychology suggests that the presence of infrasound can impact a person's emotional state and mood, even when the person is not acutely aware of the infrasound. Although often not noticed, infrasound is commonly present in many situations including factories, airports, or near motor vehicles. Further, a robot itself can produce infrasound. Thus, we examine if infrasound may impact how people interpret a robot's social communication: if the presence of infrasound makes a robot seem more or less happy, energetic, etc., as a result of impacting a person's mood. We present the results from a series of experiments that investigate how people rate a social robot's emotionally-charged gestures, and how varied levels and sources of infrasound impact these ratings. Our results show that infrasound does have a psychological effect on the person's perception of the robot's behaviors, supporting this as a technique that a robot can use as part of its interaction design toolkit. We further provide a comparison of infrasound generation methods.
Automated reduction of sub-millimetre single-dish heterodyne data from the James Clerk Maxwell Telescope using orac-dr

With the advent of modern multi-detector heterodyne instruments that can result in observations generating thousands of spectra per minute it is no longer feasible to reduce these data as individual spectra. We describe the automated data reduction procedure used to generate baselined data cubes from heterodyne data obtained at the James Clerk Maxwell Telescope. The system can automatically detect baseline regions in spectra and automatically determine regridding parameters, all without input from a user. Additionally it can detect and remove spectra suffering from transient interference effects or anomalous baselines. The pipeline is written as a set of recipes using the ORAC-DR pipeline environment with the algorithmic code using Starlink software packages and infrastructure. The algorithms presented here can be applied to other heterodyne array instruments and have been applied to data from historical JCMT heterodyne instrumentation.
Intelligence Technique Based Design and Assessment of Photovoltaic-Battery-Diesel for Distributed Generation System in Campus Area

Several studies have discussed the optimal designing methods of distributed generation (DG) based on intelligent algorithms. However, the feasibility of an intelligent algorithm-based DG system has not been investigated further, especially for DG in the campus area. Moreover, the DG that operates in two modes (grid-connected and micro-grid mode) has unique characteristics. This paper presents a design and assessment of the PV-battery-diesel DG system in the campus area based on a powerful intelligence technique. The designed DG consists of a PV system (PV array, battery, and inverter) and a diesel generator is used as backup power supplies to cover the loads during grid blackouts. The intelligence technique is used to determine the optimal size and configuration of PV array. In this work, a new variant modified AHP with fuzzy logic is developed to solve the problem. The developed algorithm is implemented by using MATLAB software. Then, the optimal size and configuration results have been evaluated and assessed in HOMER software. HOMER simulation results show that DG can operate in both grid-connected and micro-grid mode properly. Based on the case study site data, the net present cost of DG system is $291.073,43. The energy cost of the DG system is $0,12 for E6+E8 building system and $0,06 for E11 building system. The DG system has produced some pollutants from fuel consumption.
Project Advocacy Strategy and Resilience of Widows in Rarieda Sub-County, Siaya County, Kenya

Widows in developing countries are amongst the most vulnerable and at-risk; and they go through a lot of challenges ranging from cultural issues, socioeconomic, and psychological difficulties which exacerbate their vulnerability and risks. A number are disinherited, forced into sex and marriage. For such widows to survive and overcome such challenges, they have to be resilient and rise above the challenges, risks and vulnerabilities. Available evidence suggests that targeted project advocacy may not only empower vulnerable and at risk individuals but may also make them resilient. Few studies have established these relationships. The objective of this study was to determine the influence of project advocacy strategy on resilience of widows in Rarieda Sub-County in Kenya. The design of the study was crosssectional. The target population was 290 composed of project advocacy officers, social services officers, women group leaders and group members. A sample size of 165 was computed using Krejcie Morgan table of estimation. Simple stratified random sampling was used. Data was collected using a questionnaire. Descriptive and inferential data were analysed using SPSS computer package. Descriptive statistics included frequencies, means and standard deviations while inferential statistics included correlation and regression analyses. There was strong correlation between project advocacy strategy and resilience of windows. It is recommended that targeted advocacy strategies should be structured and integrated in community projects supporting widows.
Chapter 2 Pauci-Immune Vasculitides with Kidney Involvement

The clinical entity of pauci-immune vasculitis encompasses a group of diseases that may involve any organ system of the body and may be fatal if left untreated. This chapter will review these diseases, with a special interest in the clinical setting of kidney involvement. Small vessel vasculitides associated with the presence of antineutrophil cytoplasmic autoantibodies in the circulation will be the main part, since the vast majority of patients with histopathological proof of pauci-immune vasculitis are positive for these antibodies. Pauci-immune glomerulonephritis often manifests with rapidly deteriorating kidney function, while it may be accompanied by systemic necrotizing small vessel vasculitis such as microscopic polyangiitis, granulomatosis with polyangiitis, or eosinophilic granulomatosis with polyangiitis. Importantly, antineutrophil cytoplasmic autoantibody specificity has been shown to be associated with distinct clinical syndromes and different prognostic profiles among patients with pauci-immune vasculitis allowing easier recognition of the disease and long-term prognosis. Each of the clinical phenotypes will be described thoroughly with respect to the criteria required for establishment of diagnosis, the specific characteristics of renal and extrarenal histopathology, the clinical picture, the therapeutic management, and prognosis in short and long terms.
Minimal fields of canonical dimensionality are free

It is shown that in a scale-invariant relativistic field theory, any field $\psi_n$ belonging to the $(j,0)$ or $(0,j)$ representations of the Lorentz group and with dimensionality $d=j+1$ is a free field. For other field types there is no value of the dimensionality that guarantees that the field is free. Conformal invariance is not used in the proof of these results, but it gives them a special interest; as already known and as shown here in an appendix, the only fields in a conformal field theory that can describe massless particles belong to the $(j,0)$ or $(0,j)$ representations of the Lorentz group and have dimensionality $d=j+1$. Hence in conformal field theories massless particles are free.
TRIALS USING NEAR INFRARED SPECTROSCOPY

Near infrared spectroscopy (NIRS) clinical trials conducted over a seven year period have identified instrument engineering problems related to fiber optic failure, electromagnetic interference, chromophore algorithms, and computational software. These problems have caused confusion amongst clinicians at the bedside, rejection of large volumes of data, repeated reanalysis of data, and a significant diversion of project resources away from clinical studies and into engineering solutions. This article summarizes previously published studies and presents new data which, together, emphasize the need for improvements in NIRS technology. Instrument designers need to be aware of the need for these improvements if NIRS is to serve clinicians better during research designed to rationally define clinical management protocols. © 1998 Society of Photo-Optical Instrumentation Engineers. [S1083-3668(98)00104-X]
Antioxidant, anti-inflammatory and antimicrobial activities of methanolic and aqueous extract of the leaves of Pistacia lentiscus L.

Nouioua Wafa and Gaamoune Sofiane *1Laboratory of Phytotherapy Applied to Chronic Diseases, Faculty of Natural Life and Sciences, University Ferhat Abbas Setif, Algeria, El Bez, Sétif 19000. 2National Institute of Agricultural Research –Setif –Algeria, INRAA, BP 80, route des fermes, Sétif Corresponding author email: nouioua.wafa@yahoo.fr
AM Linked Data in Renewable Energy Domain

The vision of the Semantic Web is to build a global Web of data that links different resources. To this end, the first step is to put data on the Web in the form that machines can naturally understand or convert to useful forms. This can be achieved through Linked Data technology, an emerging publishing paradigm in which not only documents, but also data are linked over the Web. The ultimate goal underpinning Linked Data is to enable different individuals and organisations to efficiently contribute and share data about different domains. Climate change impacts and/or energy scarcity are among the leading challenges that the international community currently faces. The domain of renewable energy (RE) is widely believed to be an innovative domain that can contribute significantly in overcoming these challenges. Consequently, the institutionalisation of policies/strategies that can potentially lead to the uptake of RE technologies by various organisations is now too common. Employing Linked Data paradigm in managing knowledge provides opportunities for disparate organisations and people to efficiently learn and share knowledge about RE technologies, hence potentially leading to their applications in different projects by end-users. However, given the nascent nature of Linked Data technology, knowledge on how it has been employed in managing RE knowledge is still very limited. In this paper, an exploration of the use of Linked Data in the RE and its relationship to other Linked Data of different domains will be conducted. Given the scope of the study, an exploratory desk-study methodology has been pursued. Furthermore, two Linked Data applications have been discussed.
Li2CO3 thin films fabricated by sputtering techniques: the role of temperature on their properties

The physical and electrochemical characterization of Li2CO3 thin films allows for an improved understanding of their behaviour in electrochemical devices. Firstly, the Li2CO3 deposition process by RF magnetron sputtering was described. Afterwards, X-ray diffraction (XRD), atomic force microscopy (AFM) and electrochemical impedance spectroscopy (EIS) characterization techniques were employed to study the influence of temperature on the material. This way, the optimal annealing temperature as well as the optimal operating temperature of Li2CO3 were determined. In light of the obtained results, it was concluded that a fabrication annealing temperature of 600 °C and an optimal operating temperature of 350 °C were set.
The role of cloud radiative heating within the atmosphere on the high cloud amount and top‐of‐atmosphere cloud radiative effect

The effect of cloud‐radiation interactions on cloud properties is examined in the context of a limited‐domain cloud‐resolving model. The atmospheric cloud radiative effect (ACRE) influences the areal extent of tropical high clouds in two distinct ways. The first is through direct radiative destabilization of the elevated cloud layers, mostly as a result of longwave radiation heating the cloud bottom and cooling the cloud top. The second effect is radiative stabilization, whereby cloud radiative heating of the atmospheric column stabilizes the atmosphere to deep convection. In limited area domain simulations, the stabilizing (or indirect) effect is the dominant role of the cloud radiative heating, thus reducing the cloud cover in simulations where ACRE is included compared to those where it is removed. Direct cloud radiative heating increases high cloud fraction, decreases mean cloud optical depth, and increases cloud top temperature. The indirect cloud radiative heating decreases high cloud fraction, but also decreases mean cloud optical depth and increases cloud top temperature. The combination of these effects increases the top‐of‐atmosphere cloud radiative effect. In mock‐Walker circulation experiments, the decrease in high cloud amount owing to radiative stabilization tends to cancel out the increase in high cloud amount owing to the destabilization within the cloud layer. The changes in cloud optical depth and cloud top pressure, however, are similar to those produced in the limited area domain simulations.
The Measurement of Charismatic Teaching in the College Classroom.

This study identified the characteristics of charismatic teaching behavior by interviewing deans, department chairs, teachers, and students at a midwestern state university. Based on interview data, a questionnaire was developed and administered to . 19 classes, 10 taught by teachers recognized by the university for teaching merit and 9 teachers not so recognized. Results indicated that charismatic teachers were perceived as exhibiting caring and concern for students and were seen as energetic and enthusiastic in the classroom. There may be two opposing kinds of charismatic teaching, one focuse'1 on intellectual aspects, the other on personal or relational attrib,. ces. There was a positive relationship between teachers recognized for merit and teachers viewed as being charismatic. The relationship among: (1) personal empathy, personal intensity, and intellectual challenge as factors of charismatic leadership, (2) trust, and (3) commitment were also analyzed by ethnicity of student, sex of student, age of student, sex of teacher, and subject being taught. (Contains 22 references.) (JDD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
A Monte Carlo wave function method in quantum optics

Very recently there have been a number of papers discussing the applicability of stochastic methods as an alternative to the usual treatment of master equations in quantum mechanics.1-5 In this paper we present a wave function approach including a stochastic element to study the evolution of a small system when it is coupled to a reservoir. We show how fluctuations and dissipation originate from quantum jumps occuring randomly during the time evolution of the system, and we present a physical interpretation of the procedure. We demonstrate how this treatment may replace a wide class of master equations, and its use in problems with a large number of states N is discussed. Since the density matrix has N ×N elements, where a wave function is determined by only N variables, there is a computational advantage in using the wave function procedure. This is illustrated by calculations on cooling atoms in a laser field.
Improved Sectional Tone Mapping for High Dynamic Range Imagery

High dynamic range (HDR) imaging has become common in consumer entertainment. As tools for capture, content creation, encoding, and transmission evolve to support HDR formats, the variety of display capabilities is increasing. Hence, there is value in determining solutions for remapping native HDR imagery for display on lower quality HDR and legacy standard dynamic range (SDR) displays. In this paper we expand upon a sectional tone mapping approach by Lenzen [9] attempting to improve temporal stability while maintaining picture quality. We give results from both an objective metric on flicker and a subjective user study on preference and flicker. Our results indicate success in reducing halos and improving temporal stability through edge aware filtering, without significant loss to image quality.
(Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures

WhatsApp has revolutionized the way people communicate and interact. It is not only cheaper than the traditional Short Message Service (SMS) communication but it also brings a new form of mobile communication: the group chats. Such groups are great forums for collective discussions on a variety of topics. In particular, in events of great social mobilization, such as strikes and electoral campaigns, WhatsApp group chats are very attractive as they facilitate information exchange among interested people. Yet, recent events have raised concerns about the spreading of misinformation in WhatsApp. In this work, we analyze information dissemination within WhatsApp, focusing on publicly accessible political-oriented groups, collecting all shared messages during major social events in Brazil: a national truck drivers' strike and the Brazilian presidential campaign. We analyze the types of content shared within such groups as well as the network structures that emerge from user interactions within and cross-groups. We then deepen our analysis by identifying the presence of misinformation among the shared images using labels provided by journalists and by a proposed automatic procedure based on Google searches. We identify the most important sources of the fake images and analyze how they propagate across WhatsApp groups and from/to other Web platforms.
Plant parameters identified for evaluating varietal performance of acid tolerance in lucerne

Validating plant response to soil acidity using glasshouse pot cultures is an essential step in the process of selective breeding for acid-tolerant lucerne. The objective of this study was to identify plant parameters that can be effectively used to assess varietal performance in acid soils. A glasshouse pot experiment using acid soils was conducted to quantify variations and differences in plant establishment, plant growth and development of a range of lucerne genotypes with known aluminium (Al) tolerance response. Plant parameters examined include morphological and/or agronomic traits at their early plant growth stages (up to 90 days after sowing).
Event segmentation during first-person continuous events

An important aspect of event cognition is the segmentation of activity into events. However, much of the research of event segmentation has involved materials that are very highly structured narratives or well-scripted everyday activities. The aim of the current work was to assess whether similar event segmentation would occur in first-person perspective events that were more continuous, weak in narrative structure, and less scripted. In this study, people viewed a series of videos of a first-person interactive environment and were asked to make event segmentation judgements. A content analysis of the videos was also done to compare with the event segmentation judgements. The data indicated that viewers monitored multiple dimensions of continuity when viewing the videos. Moreover, the perception of event boundaries was similar to research on narrative text and film, although there were some notable differences. Finally, there was evidence that viewers perceived a hierarchical structure of implicit goals such that shifts in the superordinate goals had a larger impact on event segmentation than subordinate goals. These data suggest that people construct event models for these sorts of events and speak to the generalisability of the event model construct to real-world experiences.
Conversion of serpentine to smectite under hydrothermal condition: Implication for solid-state transformation

Abstract Understanding clay mineral transformation is of fundamental importance to grasping phyllosilicate crystal chemistry and unraveling geochemical processes. In this study, hydrothermal experiments were conducted on lizardite and antigorite, to investigate the possibility of the transformation from serpentine to smectite, the effect of precursor minerals’ structure on the transformation and the transformation mechanism involved. The reaction products were characterized using XRD, TG, HRTEM, and 27Al MAS NMR. The results show that both lizardite and antigorite can be converted to smectite, but such conversion is much more difficult than that of kaolinite group minerals. The successful transformation is mainly evidenced by the occurrence of the characteristic (001) reflection of smectite at 1.2–1.3 nm in the XRD patterns and smectite layers with a thickness of 1.2–1.3 nm in HRTEM images of hydrothermal products as well as the dehydroxylation of the newly formed smectite at a higher temperature in comparison to that of the starting minerals. The difficulty for the transformation of serpentine to smectite may be due to the lack of enough available Al in the reaction system, in which the substitution of Al3+ for Si4+ in the neo-formed tetrahedral sheet is critical to control the size matching between the neo-formed tetrahedral sheet and octahedral sheet in starting minerals. Since the neighboring layers in antigorite are linked by the strong Si-O covalent bonds, the transformation only takes place at the edges of an antigorite layer rather than the whole layer, and the neo-formed smectite is non-swelling due to the inheritance of such Si-O covalent bonds. The conversion of lizardite to smectite is more feasible than that of antigorite, accompanied by exfoliation. This leads to a prominent decrease of the particle size in the hydrothermal products and the number of phyllosilicate layers contained therein. Two dominant pathways were observed for the transformation of lizardite and antigorite into smectite, i.e., conversion of one serpentine layer to one smectite layer via attachment of Si-O tetrahedra onto the octahedral sheet surface of the starting minerals and two adjacent serpentine layers merging into one smectite layer. In the case of the latter, dissolution of octahedra and inversion of tetrahedral sheets took place during the transformation. Besides these two dominant pathways, precipitation and epitaxial growth of smectite were also observed in the cases of lizardite and antigorite, respectively. The present study suggests that solid-state transformation is the main mechanism for conversion of serpentine minerals to smectite, similar to the transformation of kaolinite group minerals to beidellite.