Miracle-dz/UniFAR-FTUs huggingface dataset:
The Haptic Intensity Order Illusion Is Caused by Amplitude Changes

When two brief vibrotactile stimulations are sequentially applied to observers’ lower back, there is systematic mislocalization of the stimulation: if the second stimulation is of higher intensity than the first one, observers tend to respond that the second stimulation was above the first one, and vice versa when weak intensity stimulation follows a strong one. This haptic mislocalization effect has been called the intensity order illusion. In the original demonstration of the illusion, frequency and amplitude of the stimulation were inextricably linked so that changes in amplitude also resulted in changes in frequency. It is therefore unknown whether the illusion is caused by changes in frequency, amplitude or both. To test this, we performed a multifactorial experiment, where we used L5 actuators that allow independent manipulation of frequency and amplitude. This approach enabled us to investigate the effects of stimulus amplitude, frequency and location, and to assess any potential interactions among these factors. We report four main findings: (1) we were able to replicate the intensity order illusion with the L5 tactors; (2) the illusion mainly occurred in the upwards direction, or in other words, when strong stimulation following a weaker one occurred above or in the same location as the first stimulation; (3) the illusion did not occur when similar stimulation patterns were applied in the horizontal direction; and (4) the illusion was solely due to changes in amplitude, whereas changes in frequency (100 Hz vs 200 Hz) had no effect.
Quasi-optimal leader election algorithms in radio networks with log-logarithmic awake time-slots

A radio network (RN) is a distributed system consisting of n radio stations. We designed and analyzed two distributed leader election protocols in RN where the number n of radio stations is unknown. The first algorithm runs under the assumption of limited collision detection, while the second assumes that no collision detection is available. By "limited collision detection", we mean that if exactly one station sends (broadcast) a message, then all stations (including the transmitter) that are listening at this moment receive the sent message. By contrast, the second no-collision-detection algorithm assumes that a station cannot simultaneously send and listen to signals. Moreover, both protocols allow the stations to keep asleep as long as possible, thus minimizing their awake time slots (such algorithms are called energy-efficient). Both randomized protocols in RN are shown to elect a leader in O (log (n)) expected time, with no station being awake for more than O (log log (n)) time slots. Therefore, a new class of efficient algorithm is set up that matches the /spl Omega/(log (n)) time lower-bound established by Kushilevitz and Mansour (1998).
Convolution! (CDT-14)

The convolution between two functions, yielding a third function, is a particularly important concept in several areas including physics, engineering, statistics, and mathematics, to name but a few. Yet, it is not often so easy to be conceptually understood, as a consequence of its seemingly intricate deﬁnition. In this text, we develop a conceptual framework aimed at hopefully providing a more complete and integrated conceptual understanding of this important operation. In particular, we adopt an alternative graphical interpretation in the time domain, allowing the shift implied in the convolution to proceed over free variable instead of the additive inverse of this variable. In addition, we discuss two possible conceptual interpretations of the convolution of two functions as: (i) the ‘ blending ’ of these functions, and (ii) as a quantiﬁcation of ‘ matching ’ between those functions. We also discuss the convolution in terms of the frequency domain, through the convolution theorem, with emphasis on the particularly important case of convolution between two sinusoidal functions. The potential of application of these concepts and methods is illustrated with respect to dynamic systems and signal ﬁltering.
Short-and Long-Term Personalisation in Social HRI

The success of personal robots is related to their ability to autonomously tailor their behaviour according to the individual’s culture [1], preferences [2], and cognitive and physical abilities [3], [4], among others. Robots are requested to adapt their behaviour in both shortand long-term interactions. In the short-term, as the interactions are very often limited in time, robots need to learn from scratch the user’s preferences and adapt quickly to them [5]. In the long-term, users’ needs may change and robots need to continuously adapt in a way that keeps them engaged [6] and interested over time [7]–[9]. Personalisation can greatly improve shortand long-term interactions in various real-world scenarios by increasing engagement through tailored content, building trust and rapport, improving adherence to the interaction, and enhancing task performance [10]–[12]. Nonetheless, building robots capable of doing so requires the robot to be endowed with specific perceptual and reasoning capabilities [13]. Robots must be able to deal with the high uncertainty of the environments as well as with the unpredictability of the human behaviours that is influenced by their motivations, attitude and interactions, which can change over time [14]. Additionally, robots must be able to model and predict human intentions and beliefs (Theory of Mind) [15] in order to anticipate human actions and provide the most appropriate behaviour [16]. Apart from being able to tailor their behaviour autonomously, robots must also be easy for non-experts to personalise [17]. This involves developing approaches that allow non-experts to set up and teach new behaviours to the robot, such as through demonstration [18], [19]. Enabling non-experts to initialise the robot can also help to avoid the “cold start” problem and speed up the process of achieving reasonable behaviour [20]. Finally, personalisation also has ethical implications, particularly when it is used with vulnerable populations. For example, incorrect personalisation in healthcare settings [21]
Permafrost monitoring in the high mountains of Europe: the PACE Project in its global context

This paper introduces the structure and organization of permafrost monitoring within global climate‐related monitoring programmes. The five‐tiered principle proposed for the Global Hierarchical Observing Strategy (GHOST) is applied to the Global Terrestrial Network for Permafrost (GTN‐P) monitoring system, and the European network of mountain permafrost boreholes established by the PACE project is discussed in the context of GTN‐P. Borehole design and standard PACE instrumentation are described and some preliminary data from selected boreholes are presented. The broader research aims of the PACE programme include geophysical investigations, mapping and GIS strategies, numerical distribution modelling, physical modelling of thaw‐related slope processes and mountain permafrost hazard assessment. Copyright © 2001 John Wiley & Sons, Ltd.
An Adaptive Large Neighborhood Search for an Appointment Scheduling Problem in Health Care

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. An Adaptive Large Neighborhood Search for an Appointment Scheduling Problem in Health Care Eduardo Lopez Aguilar, Yannick Kergosien, Vincent Boyer, Jean-Charles Billaut
A simultaneous wet-spinning strategy for high-strength antimicrobial cellulose �bers embedded with silver nanoparticles

Developing a strategy to fabricate nanoparticle-embedded micro�bers a single step has industrial and academic impact for a variety of functionally demanding textile applications. Here, we report a straightforward strategy for decorating the �ber surface with silver nanoparticles (AgNPs) while simultaneously carrying out the deacetylation of cellulose acetate (CA) into cellulose (CE) micro�bers using sodium hydroxide (NaOH). We obtained antibacterial regenerated cellulose micro�bers by successfully embedding silver nanoparticles and achieving a high level of tensile strength improvement at the same time. The physicochemical properties of regenerated cellulose micro�bers embedded with AgNPs were compared with pure CA micro�bers using various characterization techniques. Fiber thickness (270 vs 300 µm), mechanical properties (>5 vs <1 MPa Young's modulus), and antibacterial ability (50 vs 0 mm2 zone of inhibition) of the �bers were also measured. The proposed method has been con�rmed as a strategy that can greatly simplify the manufacturing process of CE@AgNPs micro�bers with high strength and antibacterial properties, promising high applicability in �elds requiring functional, antibacterial �bers.
Simplified Formula for Estimating Nasal Dimensions for 3-Dimensional Facial Reconstruction among Japanese Adults

The eyelids, external nose, and lips play an important role in individual identification and facial recognition; however, they are excluded from tissue marker points, and are reconstructed based on generic methods for 3D facial reconstruction or facial approximation. Therefore, this study focused on nasal dimensions and evaluated whether Krogman’s widely used formula for estimating the dimensions of an external nose, regardless of sex, race, and body physique, can be applied to Japanese adults. A total of 146 postmortem CT images of Japanese adult cadavers (64 males and 82 females, aged 58–105 years old) were retrospectively analyzed. The total nasal projection (TNP) among Japanese adults was estimated using the formula, TNP = 1.9 × the anterior nasal spine projection (ANSP) + the mid-philtrum depth (MPD), which differed significantly from the coefficient (3.0) in the conventional formula, regardless of sex, race, and body physique, and therefore needed modification for Asians. Although there was no positive relationship between the total nasal width (TNW) and the maximum width of the anterior nasal aperture (ANAW), the TNW could be estimated by adding soft tissue that varies by sex and body physique to both sides of the nearly constant ANAW. Therefore, we determined a simple and practical formula to estimate nasal dimensions among Japanese adults for conventional 3D facial reconstruction and manual 3D facial sculpture.
Genomic epidemiology of the current wave of artemisinin resistant malaria

Artemisinin resistant Plasmodium falciparum is advancing across Southeast Asia in a soft selective sweep involving at least 20 independent kelch13 mutations. In a large global survey, we find that kelch13 mutations which cause resistance in Southeast Asia are present at low frequency in Africa. We show that African kelch13 mutations have originated locally, and that kelch13 shows a normal variation pattern relative to other genes in Africa, whereas in Southeast Asia there is a great excess of non‐synonymous mutations, many of which cause radical amino‐acid changes. Thus, kelch13 is not currently undergoing strong selection in Africa, despite a deep reservoir of standing variation that could potentially allow resistance to emerge rapidly. The practical implications are that public health surveillance for artemisinin resistance should not rely on kelch13 data alone, and interventions to prevent resistance must account for local evolutionary conditions, shown by genomic epidemiology to differ greatly between geographical regions.
Dynamical system approach to explainability in recurrent neural networks

Résumé Les technologies basées sur l’IA, notamment les machines neuronales, sont souvent qualiﬁées de boîtes noires, limi-tant leur déploiement dans toute une gamme d’applica-tions. Ici nous présentons des méthodologies qui permettent d’ouvrir ces boîtes noires. Elles se basent sur le formalisme de la théorie des systèmes dynamiques qui a été initialement mis à proﬁt pour comprendre les calculs dans les réseaux de neurones biologiques. Nous décrivons des travaux qui appliquent ces méthodes pour la modélisation en neuros-ciences et pour le traitement automatique du langage. Ceci nous permet, à partir d’exemples concrets, d’illustrer comment l’explicabilité peut contribuer aux développements de l’IA.
Estimation of Manning roughness coe�cient in alluvial rivers with bed forms using soft computing models

18 The bed surface of alluvial rivers is rarely plane and takes different geometric configurations 19 called bed forms. Bed forms are created by the movement of riverbed sediments, especially 20 during floods. The interaction between the flow and bed form is very complex. The flow 21 intensity controls bed forms, and the bed form significantly affects the properties of the flow 22 (such as depth, velocity, and flow resistance). The Manning roughness coefficient is one of the 23 most important flow resistance coefficients, which significantly affects the bed form shape and 24 geometry. This study aimed to estimate the Manning roughness coefficient in rivers with bed 25 forms, using soft computing models, including multilayer perceptron artificial neural network 26
FrancoAngeli Open Access

In this paper, we explore econometrically the impact of judicial efficiency on the attractiveness to FDI of Italian municipalities. The distinctive contribution of this paper is manifold. First, we consider the efficiency of different types of judicial proceedings (i.e. enforcement of civil contracts and labour contracts) across local courts and of different judgment levels (i.e. first and second instance courts). Secondly, we consider an ideal case: Italy is a centralized country, where the same laws apply in all the national territory, but the degree of law enforcement varies considerably across different courts. Lastly, our results have interesting policy implications, since they may help in highlighting the importance of nontargeted FDI policies as factors driving the location choice of MNEs.
Myristoylated alanine rich C kinase substrate/Activated Cdc42-associated kinase 1 regulates cortactin to promote neutrophil elastase-induced mucin secretion in airway epithelial cells

Purpose Mucus secretion is excessively increased in airway epithelial cells in pathological states. This process is related to the cytoskeleton and the increase in exocytosis sites, but the movement of secreted molecules and how secretion increases remain unclear. In this study, we examined the potential role of myristoylated alanine rich C kinase substrate (MARCKS) and the cortical actin-binding protein cortactin in airway mucin secretion. Also we investigated the effect of activated Cdc42-associated kinase 1 (ACK1) in this process.
Penalized Regression Splines in Mixture Density Networks

Mixture Density Networks (MDN) belong to a class of models that can be applied to data which cannot be suﬃciently described by a single distribution since it originates from diﬀerent components of the main unit and therefore needs to be described by a mixture of densities. In some situations, however, MDNs seem to have problems with the proper identiﬁcation of the latent components. While these identiﬁcation issues can to some extent be contained by using custom initialization strategies for the network weights, this solution is still less than ideal since it involves subjective opinions. We therefore suggest replacing the hidden layers between the model input and the output parameter vector of MDNs and estimating the respective distributional parameters with penalized cubic regression splines. Applying this approach to data from Gaussian mixture distributions as well gamma mixture distributions proved to be successful with the identiﬁcation issues not playing a role anymore and the splines reliably converging to the true parameter values.
Before the Inca: Prehistoric Dietary Transitions in the Argentine Cuyo

vi Chapter One: Introduction 1 Diet as a Key to Understanding Culture 2 The Thesis 3 Chapter Two: Background of the Cuyo 13 Geography of the Cuyo 15 South American Archaeology 18 Research Frame 19 Models for the Adoption of Agriculture 21 Cultural Chronology 23 Paleoindian and Archaic Sites 24 The Holocene Epoch 25 Silencio Arqueológico 26 Dietary Resources 28 Origins of Domesticated Maize 31 Sample Description 34 Tissue Selection 34 Temporal Distribution 36 Spatial Distribution 37 Sex Distribution 37 Age Distribution 38 Chapter Three: Principles of Stable Isotope Analysis 39 Biological Materials 39 Bones 40 Teeth 42 Skin/Muscle Tissue 44 Hair 46 Carbon Isotope Analysis 46 Nitrogen Isotope Analysis 49 Strontium Isotope Analysis 51 Sources of Error 52 ii Chapter Four: Stable Isotope Analysis Methods 54 Sample Preparation 55 Bone Apatite 55 Tooth Enamel 57 Bone Collagen 57 Resource Samples 60 Hair 60 Skin and Muscle 65 Instrumentation 67 Chapter Five: Results and Discussion 68 Resource Sample Results 69 Human Hard Tissue Results 72 Bone Collagen 72 Bone Apatite 75 Tooth Enamel 76 Human Soft Tissue Results 79 Hair Samples 80 Skin/Muscle Tissue 85 Spatial Comparison 88 Temporal Comparison 89 Discussion 91 Chapter Six: Conclusion 94 Considerations for Isotopic Studies 95 Scholarly and Educational Significance 96 Applied Perspectives 97 Future Directions 98 References 99 Appendix A 114 Appendix B 116 Appendix C 123 Appendix D 124 Appendix E 125 Appendix F 126
Real-Time Detection and Classification for Voltage Events Based on Wavelet Transform

A new technique for real-time Power Quality (PQ) disturbances detection and classification based on wavelet multi-resolution analysis (MRA) is presented in this paper. The detection of start time, end time and duration of PQ event is based on the finest detail level of MRA, while the classification of the event is based on the coarsest approximation level of MRA. LabVIEW platform has been used to implement the proposed technique in a laboratory setup. Several voltage events: interruption, swell and sag have been generated to test the performance of the proposed technique. The experimental results demonstrate the superiority, accuracy, and robustness of the proposed method in detection the details of the voltage events as well as the event type classification. The effectiveness, accuracy and robustness of the proposed technique in detection and classification of the PQ events have been demonstrated by the experimental results. Moreover, the proposed technique shows a significant reduction in execution time with less complexity compared to the conventional methods, for that the proposed technique is more suitable for online detection and classification applications.
Analyzing social experiments as implemented: A reexamination of Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program the evidence from the HighScope Perry Preschool Program

Social experiments are powerful sources of information about the effectiveness of interventions. In practice, initial randomization plans are almost always compromised. Multiple hypotheses are frequently tested. “Signiﬁcant” effects are often reported with p -values that do not account for preliminary screening from a large candidate pool of possible effects. This paper develops tools for analyzing data from experiments as they are actually implemented. We apply these tools to analyze the inﬂuential HighScope Perry Preschool Program. The Perry program was a social experiment that provided preschool education and home visits to disadvantaged children during their preschool years. It was evaluated by the method of random assignment. Both treatments and controls have been followed from age 3 through age 40. Previous analyses of the Perry data assume that the planned randomization protocol was implemented. In fact, as in many social experiments, the intended randomization protocol was compromised. Accounting for compromised randomization, multiple-hypothesis testing, and small sample sizes, we ﬁnd statistically signiﬁcant and economically important program effects for both males and females. We also examine the representativeness of the Perry study.
White Visor: Support of White-Box Switch in SDN-Based Network Hypervisor

Network virtualization is a fundamental technology for datacenters and upcoming wireless communications (e.g., 5G). It takes advantage of software-defined networking (SDN) that provides efficient network management by converting networking fabrics into SDN-capable devices. Moreover, white-box switches, which provide flexible and fast packet processing, are broadly deployed in commercial datacenters. A white-box switch requires a specific and restricted packet processing pipeline; however, to date, there has been no SDN-based network hypervisor that can support the pipeline of white-box switches. Therefore, in this paper, we propose WhiteVisor: a network hypervisor which can support the physical network composed of white-box switches. WhiteVisor converts a flow rule from the virtual network into a packet processing pipeline compatible with the white-box switch. We implement the prototype herein and show its feasibility and effectiveness with pipeline conversion and overhead.
Spatial and temporal distributions of major tree taxa in eastern continental Asia during the last 22,000 years

This study investigates the spatial and temporal distributions of 14 key arboreal taxa and their driving forces during the last 22,000 calendar years before ad 1950 (kyr BP) using a taxonomically harmonized and temporally standardized fossil pollen dataset with a 500-year resolution from the eastern part of continental Asia. Logistic regression was used to estimate pollen abundance thresholds for vegetation occurrence (presence or dominance), based on modern pollen data and present ranges of 14 taxa in China. Our investigation reveals marked changes in spatial and temporal distributions of the major arboreal taxa. The thermophilous (Castanea, Castanopsis, Cyclobalanopsis, Fagus, Pterocarya) and eurythermal (Juglans, Quercus, Tilia, Ulmus) broadleaved tree taxa were restricted to the current tropical or subtropical areas of China during the Last Glacial Maximum (LGM) and spread northward since c. 14.5 kyr BP. Betula and conifer taxa (Abies, Picea, Pinus), in contrast, retained a wider distribution during the LGM and showed no distinct expansion direction during the Late Glacial. Since the late mid-Holocene, the abundance but not the spatial extent of most trees decreased. The changes in spatial and temporal distributions for the 14 taxa are a reflection of climate changes, in particular monsoonal moisture, and, in the late Holocene, human impact. The post-LGM expansion patterns in eastern continental China seem to be different from those reported for Europe and North America, for example, the westward spread for eurythermal broadleaved taxa.