Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Safety Anomalies in pHRI Activities via Force Myography

The potential application of using a wearable force myography (FMG) band for monitoring the occupational safety of a human participant working in collaboration with an industrial robot was studied. Regular physical human–robot interactions were considered as activities of daily life in pHRI (pHRI-ADL) to recognize human-intended motions during such interactions. The force myography technique was used to read volumetric changes in muscle movements while a human participant interacted with a robot. Data-driven models were used to observe human activities for useful insights. Using three unsupervised learning algorithms, isolation forest, one-class SVM, and Mahalanobis distance, models were trained to determine pHRI-ADL/regular, preset activities by learning the latent features’ distributions. The trained models were evaluated separately to recognize any unwanted interactions that differed from the normal activities, i.e., anomalies that were novel, inliers, or outliers to the normal distributions. The models were able to detect unusual, novel movements during a certain scenario that was considered an unsafe interaction. Once a safety hazard was detected, the control system generated a warning signal within seconds of the event. Hence, this study showed the viability of using FMG biofeedback to indicate risky interactions to prevent injuries, improve occupational health, and monitor safety in workplaces that require human participation.
Thermal lensing in biologic medium

A nonlinear effect for tissue response is reported which results from macroscopic changes in the refractive index of tissue due to its localized heating during laser irradiation. The effect, termed thermal lensing, arises when a high-intensity beam of light interacts with an absorbing medium and highly localized heating occurs. Localized heating causes thermal expansion which leads to a decrease in tissue density, inducing macroscopic spatial gradients in the index of refraction. A description is given of a series of experiments designed and performed to establish the existence of thermal lensing in a biological medium and quantify the effect of exposure parameters and medium properties. >
Development of a focused charged particle microbeam for the irradiation of individual cells

An irradiation facility, able to expose cellular and subcellular targets to a precise number of particles, has been developed at CENBG for applications in radiobiology. The development of this facility was based on an existing horizontal focused microbeam developed in the early 90’s for material analysis. The focusing properties of the line allow the delivering of proton or alpha particle beams in the 1–3.5MeV energy range with a spatial resolution down to about 1μm under vacuum. For irradiation of living cells, a removable stage has been developed to extract the beam into air while preserving the analytical capabilities of the microbeam line under vacuum. This stage includes a high resolution epifluorescence microscope for online visualization of the cells and a motorized stage for cell positioning. Single particle control is ensured by a fast electrostatic deflector triggered by the signal induced by the particles through a transmission detector just before reaching the target. A dedicated software, bas.
5G Service and Pacemakers/Implantable Defibrillators: What Is the Actual Risk?

Rapidly growing worldwide, 5G service is expected to deeply change the way we communicate, connect and share data. It encompasses the whole spectrum of new technology, infrastructure and mobile connectivity, and will touch not only every sector in the industry, but also many aspects of our everyday life. Although the compliance with international regulations provides reasonable protection to public health and safety, there might be specific issues not fully covered by the current technical standards. Among the aspects that shall be carefully considered, there is the potential interference that can be induced on medical devices, and in particular on implantable medical devices that are critical for the patient’s life, such as pacemakers and implantable defibrillators. This study aims to assess the actual risk that 5G communication systems pose to pacemakers and implantable defibrillators. The setup proposed by the ISO 14117 standard was adapted to include 5G characteristic frequencies of 700 MHz and 3.6 GHz. A total number of 384 tests were conducted. Among them, 43 EMI events were observed. Collected results reveal that RF hand-held transmitters operating in these two frequency bands do not pose additional risk compared to pre-5G bands and that the safety distance of 15 cm typically indicted by the PM/ICD manufacturer is still able to guarantee the patient’s safety.
Numerical solution of two‐dimensional nonlinear Riesz space‐fractional reaction–advection–diffusion equation using fast compact implicit integration factor method

In the present article, a finite domain is considered to find the numerical solution of a two‐dimensional nonlinear fractional‐order partial differential equation (FPDE) with Riesz space fractional derivative (RSFD). Here two types of FPDE–RSFD are considered, the first one is a two‐dimensional nonlinear Riesz space‐fractional reaction–diffusion equation (RSFRDE) and the second one is a two‐dimensional nonlinear Riesz space‐fractional reaction‐advection‐diffusion equation (RSFRADE). SFRDE is obtained by simply replacing second‐order derivative term of the standard nonlinear diffusion equation by the Riesz fractional derivative of order (β+1)∈(1,2)${(\beta +1)}\in (1,2)$ whereas the SFRADE is obtained by replacing the first‐order and second‐order space derivatives from the standard order advection–dispersion equation with the Riesz fractional derivatives of order β∈(0,1)$\beta \in (0,1)$ . A numerical method is provided to deal with the RSFD with the weighted and shifted Grünwald–Letnikov (WSGD) approximations, for the spatial discretization. The SFRDE and SFRADE are transformed into a system of ordinary differential equations (ODEs), which have been solved using a fast compact implicit integration factor (FcIIF) with nonuniform time meshes. Finally, the demonstration of the validation and effectiveness of the numerical method is given by considering some existing models.
Extracellular vesicles in osteoarthritis of peripheral joint and temporomandibular joint

Osteoarthritis (OA) is a disabling disease with significant morbidity worldwide. OA attacks the large synovial joint, including the peripheral joints and temporomandibular joint (TMJ). As a representative of peripheral joint OA, knee OA shares similar symptoms with TMJ OA. However, these two joints also display differences based on their distinct development, anatomy, and physiology. Extracellular vesicles (EVs) are phospholipid bilayer nanoparticles, including exosomes, microvesicles, and apoptotic bodies. EVs contain proteins, lipids, DNA, micro-RNA, and mRNA that regulate tissue homeostasis and cell-to-cell communication, which play an essential role in the progression and treatment of OA. They are likely to partake in mechanical response, extracellular matrix degradation, and inflammatory regulation during OA. More evidence has shown that synovial fluid and synovium-derived EVs may serve as OA biomarkers. More importantly, mesenchymal stem cell-derived EV shows a therapeutic effect on OA. However, the different function of EVs in these two joints is largely unknown based on their distinct biological characteristic. Here, we reviewed the effects of EVs in OA progression and compared the difference between the knee joint and TMJ, and summarized their potential therapeutic role in the treatment of OA.
Evaluation of the Oral Health Conditions and Oral Health-Related Quality of Life in a Community-Dwellers Population Aged ≥ 45 Years in the Canton of Bern: A Preliminary Pilot Study

Objective: To evaluate oral health conditions and oral health-related quality of life in community-dwellers aged ≥ 45 years in the Canton of Bern, Switzerland. Materials and Methods: One hundred subjects (63% males; mean age: 73 years), selected randomly using a cluster procedure within the Canton of Bern, underwent a clinical oral examination after completing questionnaires on socio-economic level, medical history, oral health behaviour, and Geriatric Oral Health Assessment Index (GOHAI). Descriptive analyses and multinomial regression models were applied to investigate the association between oral health diseases (dental caries and periodontitis) and specific participant characteristics. Results: The mean number of decayed, missing, and filled teeth (DMFT) was 0.30, 4.20, and 8.75, respectively; the mean DMFT score = 13.35. Dental caries prevalence (ICDAS > 0) was 15% and periodontitis prevalence was 46%. Logistic regression models revealed that living in an urban area was associated with lower odds (OR 0.03, 95%CI 0.00–0.36) of having periodontal disease. Male gender was associated with lower odds for dental caries (OR 0.31, 95%CI 0.09–1.01) and total lack of professional tooth cleaning was associated with higher odds for dental caries (OR 41.99, 95%CI 0.01–0.38). Ordinal logistic regression revealed that both the presence of dental caries (RR 12.80, 95%CI 1.47–111.20) and periodontal disease (RR 6.91, 95%CI 1.16–84.00) were statistically significantly associated with rheumatoid arthritis. Conclusion: Within the study limitations, untreated dental caries and periodontal disease are prevalent in the Swiss population, despite the high level of self-performed oral hygiene and access to the dental care system.
The origin of filaments in extended radio sources

Luminosities, pressures, and expansion rates indicated by observations of extended radio sources are used to make a linear and nonlinear analysis of thermal instability in filaments in extended radio sources. A model is used in which the process which creates approximate equipartition in extended radio sources does not act continuously. Nonlinear calculations show that the maximum density contrast is approximately independent of the initial density perturbation. The maximum nonlinear emissivity constrast is also found to be independent of inverse Compton losses, opposite to results in the linear regime where inverse Compton losses suppress thermal instability. For the inner jet of Cen A, thermal instability creates a density contrast in a distance comparable to the separation distance of the A1 and A4 knots, sufficient to explain the observed filaments. 23 refs.
ON COMPARING HELIOSEISMIC TWO-DIMENSIONAL INVERSION METHODS

We consider inversion techniques for investigating the structure and dynamics of the solar interior as functions of radius and latitude. In particular, we look at the problem of inferring the radial and latitudinal dependence of the Sun's internal rotation, using a fully two-dimensional least-squares inversion algorithm. Concepts such as averaging kernels, measures of resolution, and trade-off curves, which have previously been used in the one-dimensional case, are generalized to facilitate a comparison of two-dimensional methods. We investigate the weighting given to different modes and discuss the implications of this for observational strategies. As an illustration we use a mode set whose properties are similar to those expected for data from the GONG network.
Quantum optical studies of tunneling and other superluminal phenomena

Experiments at Berkeley and elsewhere which show that the process of tunneling is apparently superluminal will be reviewed. Conflicting theories for the tunneling time will be compared with experiment. The tunneling particle in the Berkeley experiments was the photon. The measurement of the tunneling time utilized a two-photon light source (spontaneous parametric down-conversion), a Hong-Ou-Mandel interferometer, and a coincidence counter of photon pairs. The tunnel barrier consisted of a photonic-bandgap medium excited at midgap. We find that the peak of a tunneling single-photon wave packet appeared on the far side of the barrier 1.47 ± 0.21 fs earlier than the peak of a wave packet which traveled an equal distance in air. Group velocities which exceed c can also occur in transparent media with inverted atomic populations. Tachyon-like excitations, i.e., collective normal modes of atoms coupled to electromagnetic radiation which possess tachyon-like dispersion relations, occur in these media. However, relativistic causality is not violated by any of these superluminal phenomena.
Analysis of lightning-induced ionization from VLF Trimpi events

Detailed analysis of Trimpi phenomena (Trimpis) revealed two different regimes in their temporal behavior. One time regime is the initial “nose” part of Trimpis of about 1–5 s, and the second is the “tail” of Trimpis of about 50–100 s. Using a rather simple theoretical model of VLF wave scattering from abating ion and electron density perturbations, we discovered two fitting formulas to describe the temporal evolution of Trimpis. An exponential-hyperbolic evolution in amplitude a/a0 = (exp{−t/τ0})/[1 + b/2(1 − exp{−t/τ0})] for weak scattering and a logarithmic dependence a/a0 = [ln τ2/(t + τ1)]/(ln τ2/τ1) for strong scattering. Parameters b, τ0, τ1, τ2 were calculated for all the observed 50 Trimpi events. Maximal ion and electron density perturbation (Δnmi and Δnme) were estimated together with the background ion and electron density (ni0 and ne0) and vertical length of the perturbation column (ΔH). For the conventional model of background electron density and horizontal scale of perturbations L ≃ 5 – 10 km, we find the perturbation parameters to be as follows: Δnme ≃ 103 – 104 cm−3, Δnme/ne0 ∼ Δnmi/ni0 ≃ 10 – 100, ni0 ≃ 3 × 103 − 3 × 104 cm−3, and ΔH ∼ 10 – 15 km.
Natural rubber latex films with effective growth inhibition against S. aureus via surface conjugated gentamicin

Hospital-associated infections and related complications are of extreme concern in the healthcare sector since biofilms generated over material surfaces not only create turbulence in the healthcare practices followed but also ruin the device performance, and increased medication, leading to significant chances of drug resistance. Natural rubber latex (NRL) being the first choice for the manufacture of several conventional biomedical devices, it is essential to ensure the surfaces of the same are inherently inactive against most microorganisms. This study presents NRL film surface conjugated with a well-known antibiotic, gentamicin through an amide linkage to generate antibacterial activity to the surface with a significant growth inhibition rate, especially against Staphylococcus aureus. The NRL films were surface-oxidized under controlled acidic conditions to generate carboxyl groups exploring the unsaturation of the base monomer unit. The carboxyl group reacts with the amine groups of gentamicin facilitating its surface conjugation. The surface anchoring was authenticated by FTIR-ATR complimented further by contact angle measurement as a function of hydrophilicity and elemental analysis by EDX spectroscopy. The antibacterial efficacy of modified NRL films was evaluated using antibacterial drop test and the results indicated a substantial growth inhibition rate (>60%) against Pseudomonas aeruginosa and Staphylococcus aureus. The study could be further optimized and proposed as a viable route for the conjugation of active molecules over inert polymer molecules.
Viewing zones of IP and MV

The central and side viewing zones of pixel cell and elemental image based contact-type multiview 3-D imaging methods, can be combined with between viewing zone to form a bigger viewing zone, i.e., a combined viewing zone. The combined viewing zone of the elemental image based method has the same features as the viewing region in front of the viewing zone cross section in that of the pixel cell based method. The combined viewing zone of the pixel cell based method has almost 2 times of the viewing regions of viewing differently composed images with a pixel from each of pixel cells/elemental images in the display panel. The front and behind viewing regions in the pixel cell based method's combined viewing zone has a symmetrical relationship. The light intensity distribution supports these is facts.
Driving Maneuvers Recognition and Classification Using A Hyprid Pattern Matching and Machine Learning

—Since most of the road and traffic accidents are related to human errors or distraction, the study of irregular driving behaviors is considered one of the most important research topics in this field. To prevent road accidents and assess driving competencies, there is an urgent need to evaluate driving behavior through the design of a driving maneuvers assessment system. In this study, the recognition and classification of highway driving maneuvers using smartphones’ build-in sensors are presented. The paper examines the performance of three classical machine learning techniques and a novel hybrid system. The proposed hybrid system combines the pattern machining Dynamic Time Warping (DTW) technique for recognizing driving maneuvers and the machine learning techniques for classification. Results obtained from both approaches show that the performance of the hybrid system is superior to that obtained by using classical machine learning techniques. This enhancement in the performance of the hybrid system is due to the elimination of the overlapping in the target classes due to the separation, the recognition and the classification processes.
Silver Nanoparticles in Dental Applications: A Descriptive Review

Silver nanoparticles have been a recent focus of many researchers in dentistry, and their potential uses and benefits have drawn attention in dentistry and medicine. The fabrication and utilization of nanoscale substances and structures are at the core of the rapidly developing areas of nanotechnology. They are often used in the dental industry because they prevent bacteria from making nanoparticles, oxides, and biofilms. They also stop the metabolism of bacteria. Silver nanoparticles (AgNPs) are a type of zero-dimensional material with different shapes. Dentistry has to keep up with changing patient needs and new technology. Silver nanoparticles (AgNPs) can be used in dentistry for disinfection and preventing infections in the oral cavity. One of the most interesting metallic nanoparticles used in biomedical applications is silver nanoparticles (AgNPs). The dental field has found promising uses for silver nanoparticles (AgNPs) in the elimination of plaque and tartar, as well as the elimination of bacterial and fungal infections in the mouth. The incorporation of AgNPs into dental materials has been shown to significantly enhance patients’ oral health, leading to their widespread use. This review focuses on AgNP synthesis, chemical properties, biocompatibility, uses in various dental fields, and biomaterials used in dentistry. With an emphasis on aspects related to the inclusion of silver nanoparticles, this descriptive review paper also intends to address the recent developments of AgNPs in dentistry.
Approximation of multivariate distribution functions

In the paper the unknown distribution function is approximated with a known distribution function by means of Taylor expansion. For this approximation a new matrix operation — matrix integral — is introduced and studied in [PIHLAK, M. : Matrix integral, Linear Algebra Appl. 388 (2004), 315–325]. The approximation is applied in the bivariate case when the unknown distribution function is approximated with normal distribution function. An example on simulated data is also given.
Optical Coherence Tomography Angiography of the Intestine: How to Prevent Motion Artifacts in Open and Laparoscopic Surgery?

(1) Introduction. The problem that limits the intraoperative use of OCTA for the intestinal circulation diagnostics is the low informative value of OCTA images containing too many motion artifacts. The aim of this study is to evaluate the efficiency and safety of the developed unit for the prevention of the appearance of motion artifacts in the OCTA images of the intestine in both open and laparoscopic surgery in the experiment; (2) Methods. A high-speed spectral-domain multimodal optical coherence tomograph (IAP RAS, Russia) operating at a wavelength of 1310 nm with a spectral width of 100 μm and a power of 2 mW was used. The developed unit was tested in two groups of experimental animals—on minipigs (group I, n = 10, open abdomen) and on rabbits (group II, n = 10, laparoscopy). Acute mesenteric ischemia was modeled and then 1 h later the small intestine underwent OCTA evaluation. A total of 400 OCTA images of the intact and ischemic small intestine were obtained and analyzed. The quality of the obtained OCTA images was evaluated based on the score proposed in 2020 by the group of Magnin M. (3) Results. Without stabilization, OCTA images of the intestine tissues were informative only in 32–44% of cases in open surgery and in 14–22% of cases in laparoscopic surgery. A vacuum bowel stabilizer with a pressure deficit of 22–25 mm Hg significantly reduced the number of motion artifacts. As a result, the proportion of informative OCTA images in open surgery increased up to 86.5% (Χ2 = 200.2, p = 0.001), and in laparoscopy up to 60% (Χ2 = 148.3, p = 0.001). (4) Conclusions. The used vacuum tissue stabilizer enabled a significant increase in the proportion of informative OCTA images by significantly reducing the motion artifacts.
Random graph models for temporal processes in social networks

We generalize the graphical modeling approach of p* social influence models to develop discrete time models for the temporal evolution of social networks. Plausible general processes pertaining to network evolution are broadly discussed as a basis for across‐time dependence assumptions. Systematic temporal processes are construed as effects that are homogeneous across the network, and that reflect dynamics inherent in a particular social relation. Any one actor cannot control these dynamics, especially given that non‐dyadic configurations may be implicated, for instance, tendencies for various triadic configurations to be constructed or to collapse of over time. Non‐systematic processes, on the other hand, may pertain to the changing nature of a particular dyadic tie, or to change involving a particular sociotemporal neighborhood of the network. Non‐systematic processes are inhomogeneous across time and across the network, and are modeled as random. In constructing p* dependence graphs, systematic temporal processes may be represented, in part, by the perfect dependence assumption, whereby network across‐time dependencies “mirror” within‐time dependencies. We develop temporal perfect dependence models appropriate for Markov random graphs. To disentangle non‐systematic from systematic temporal processes is not straightforward, but the use of the constant tie assumption ‐ whereby ephemeral ties are assumed not to have influence across time ‐is one possible approach. We illustrate these models with three empirical examples: first, with an analysis of the Freeman EIES data; and then with data from a newly formed small training group involving two networks, trust and friendship.