Miracle-dz/UniFAR-FTUs huggingface dataset:
Anomaly detection techniques in cyber-physical systems

Abstract Nowadays, when multiple aspects of our life depend on complex cyber-physical systems, automated anomaly detection, prevention and handling is a critical issue that inuence our security and quality of life. Recent catastrophic events showed that manual (human-based) handling of anomalies in complex systems is not recommended, automatic and intelligent handling being the proper approach. This paper presents, through a number of case studies, the challenges and possible solutions for implementing computer-based anomaly detection systems.
Biological Small Angle Scattering

The technique of small angle solution scattering has been revolutionized in the last two decades. Exponential increases in computing power, parallel algorithm development, and the development of synchrotron, free-electron X-ray sources, and neutron sources, have combined to allow new classes of studies for biological specimens. These include time-resolved experiments in which functional motions of proteins are monitored on a picosecond timescale, and the first steps towards determining actual electron density fluctuations within particles. In addition, more traditional experiments involving the determination of size and shape, and contrast matching that isolate substructures such as nucleic acid, have become much more straightforward to carry out, and simultaneously require much less material. These new capabilities have sparked an upsurge of interest in solution scattering on the part of investigators in related disciplines. Thus, this book seeks to guide structural biologists to understand the basics of small angle solution scattering in both the X-ray and neutron case, to appreciate its strengths, and to be cognizant of its limitations. It is also directed at those who have a general interest in its potential. The book focuses on three areas: theory, practical aspects and applications, and the potential of developing areas. It is an introduction and guide to the field but not a comprehensive treatment of all the potential applications.
Generalized Inv-Log-Gamma-G processes

Abstract Gamma processes belong to subordinators for which very small jumps occurs infinitely many times in any finite time interval but their sums are finite. Here we consider their novel and important modifications with a nice application potential. A generalization of fractional kth lower record value process defined in Bieniek and Szynal, called Inverse-Log-Gamma-G process is investigated. Explicit relation with the Gamma process is presented and conditional, posterior and finite dimensional distributions are derived. The results are obtained by appropriate transformations of known stochastic processes. In contrast with the regression this allows us to describe the finite dimensional distributions of the processes of interest and in this way to make their full characterization.
Chirurgische Behandlung von peritoneal disseminierten gastrointestinalen Tumoren

Peritoneal carcinomatosis is found in approximately 15% of patients with colorectal cancer during the course of their disease, and is associated with a poor prognosis. Even more patients with gastric cancer develop peritoneal seeding. Cytoreductive surgery and hyperthermic intra-peritoneal chemotherapy (HIPEC) have been introduced in the past decade and have led to 5-year survival rates of 30 to 40% for selected patients with colorectal cancer and peritoneal carcinomatosis. These numbers have been demonstrated by many retrospective analyses and by prospective Phase II studies. The clinical assessment to select patients who will benefit from the combined therapy and achievement of complete macroscopic cytoreduction both play a crucial role. Less favourabale results have been achieved for patients suffering from stage IV gastric cancer with peritoneal seeding. Promising results were demonstrated for post-operative intraperitoneal chemotherapy following curative gastrectomy. Patients with hepatic, biliary and pancreatic cancers and peritoneal carcinomatosis do not benefit from cytoreductive surgery. There is a need for further multi-centre, prospective trials analysing the use of hyperthermic intraperitoneal chemotherapy. They should be conducted in the specialised centres by interdisciplinary teams.
Real-time Likelihood Methods for Improved γ-Ray Transient Detection and Localization

We present a maximum-likelihood (ML) algorithm that is fast enough to detect γ-ray transients in real time on low-performance processors often used for space applications. We validate the routine with simulations and find that, relative to algorithms based on excess counts, the ML method is nearly twice as sensitive, allowing detection of 240%–280% more short γ-ray bursts. We characterize a reference implementation of the code, estimating its computational complexity and benchmarking it on a range of processors. We exercise the reference implementation on archival data from the Fermi Gamma-ray Burst Monitor (GBM), verifying the sensitivity improvements. In particular, we show that the ML algorithm would have detected GRB 170817A even if it had been nearly 4 times fainter. We present an ad hoc but effective scheme for discriminating transients associated with background variations. We show that the onboard localizations generated by ML are accurate, but that refined off-line localizations require a detector response matrix with about 10 times finer resolution than is the current practice. Increasing the resolution of the GBM response matrix could substantially reduce the few-degree systematic uncertainty observed in the localizations of bright bursts.
Théorèmes de masse positive

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Expert Consensus Practice Recommendations of the North American Neuroendocrine Tumor Society for the management of high grade gastroenteropancreatic and gynecologic neuroendocrine neoplasms

High-grade neuroendocrine neoplasms are a rare disease entity and account for approximately 10% of all neuroendocrine neoplasms. Because of their rarity, there is an overall lack of prospectively collected data available to advise practitioners as to how best to manage these patients. As a result, best practices are largely based on expert opinion. Recently, a distinction was made between well-differentiated high-grade (G3) neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas, and with this, pathologic details, appropriate imaging practices and treatment have become more complex. In an effort to provide practitioners with the best guidance for the management of patients with high-grade neuroendocrine neoplasms of the gastrointestinal tract, pancreas, and gynecologic system, the North American Neuroendocrine Tumor Society convened a panel of experts to develop a set of recommendations and a treatment algorithm that may be used by practitioners for the care of these patients. Here, we provide consensus recommendations from the panel on pathology, imaging practices, management of localized disease, management of metastatic disease and surveillance and draw key distinctions as to the approach that should be utilized in patients with well-differentiated G3 neuroendocrine tumors vs poorly differentiated neuroendocrine carcinomas.
Utilization and Staff Perspectives on an On-Demand Telemedicine Model for People with Intellectual and Developmental Disabilities Who Reside in Certified Group Residences

Background: Non-emergent medical problems that arise when a usual provider is unavailable can often result in emergency department or urgent care visits, which can be particularly distressing to people with intellectual and developmental disabilities (PIDD). On-demand, synchronous telemedicine may be a promising supplement when immediate care from usual sources is unavailable. Prior research demonstrated that high-quality telemedicine can be effectively delivered to PIDD. The aim of this article is to describe the utilization and staff perspectives on the implementation of the Telemedicine Triage Project (TTP), an innovative model that provides telemedicine consultations for PIDD who reside in state-certified group residences and present with an urgent but non-emergent medical concern when their usual provider is unavailable. Methods: Call frequency data for calendar years 2020 and 2021 were reviewed. The study team conducted semi-structured interviews, with 19 key informants representing organizational- and agency-level leadership and staff. The interview data were analyzed using a protocol-driven, rapid qualitative methodology. Results: Telemedicine consultations increased from 7953 in 2020 to 15,011 calls in 2021, and call volume peaked between 10 am and 1 pm. Key informants reported high satisfaction with TTP; universal benefits and a few barriers to implementation; and strong interest in maintaining the program beyond the grant period. Discussion: Over the first 2 years of its implementation, the TTP program was widely utilized and proved extremely feasible and acceptable to staff. This model is a promising and highly feasible way to provide equitable access to telemedicine for PIDD by addressing barriers to and disparities in access to health care that affect PIDD.
Farcimab: a flicker of light in the darkness of neovascular age-related macular degeneration and Diabetes Mellitus – correspondence

Age-related macular degeneration (AMD) is ‘ an acquired degeneration of the retina due to the modi ﬁ cation of the Bruch ’ s membrane and the retinal pigment epithelium ’ [1] . AMD can be classi ﬁ ed as either atrophic (dry form), present in 80% of the patients, or exudative/neovascular (wet form), affecting up to 15% patients [1,2] . Although less prevalent, neovascular age-related macular degeneration (nAMD) accounts for 90% of subsequential vision loss, with patients affected by the dry form also eventually progressing to nAMD [1] . Diabetic macular edema (DME), is one of the main manifestations of diabetic retinopathy [3] . Both DME and nAMD are associated with over-expression of vascular endothelial growth factor-A (VEGF-A), particularly in the vitreous and retina, causing alteration in the genes responsible for angiogenesis and vascular permeability, with consequential breaking of the blood retinal barrier and accumulation of ﬂ uid in the macula [1,3,4] . With the global number of patients with AMD estimated to rise to up to 288 million by 2040 and DME expected to cause visual impairment in up to 25% of patients with diabetic retinopathy in the USA by 2030, it is safe to assume the two may easily be classi ﬁ ed as the most common contributors to ocular morbidity worldwide [1 – 3] . The current FDA-approved treatment for both nAMD and DME is intravitreal anti-VEGF injections, including A ﬂ ibercept, Ranibizumab,
A comparison between three surface type data sets adopted by the community radiative transfer model

ABSTRACT The accuracy of simulated radiances for surface-sensitive visible and infrared channels is affected by the specification of surface type. The current version of Community Radiative Transfer Model (CRTM) employs three surface type data sets, which are referred to as the National Polar-orbiting Operational Environmental Satellite System (NPOESS), the U. S. Geological Survey (USGS), and the International Geosphere-Biosphere Programme (IGBP) data sets, respectively. In this study, the consistencies and discrepancies among these three surface type data sets are examined. The surface type is specified consistently among the three data sets in equatorial and polar regions, but not in other regions especially around 60° N. The desert and snow types have the highest consistency among the three surface type data sets. The tundra in the IGBP data set, the needle-leaf forecast and mixed forest in the NPOESS data set, and the mixed forest in the USGS data set have the greatest discrepancy from the other two data sets. Finally, a canonical case is used to demonstrate that the impacts of the three surface type datasets on CRTM simulations are significant, pointing to a need for a rigorously defined surface type data set.
Une démarche outillée pour spécifier formellement des patrons de c onception réutilisables

This paper describes an approach for r eusing design patterns that have been formally specified. Reusing such a pattern means instantiating it or composing it with other patterns or extending it. Three levels of composition are defined : juxtaposition, composition with inter-patterns links and unification. This paper shows through examples how to define specification patterns in B, how to reuse them directly in B, and also how to reuse the proofs associated to specification patterns.
Determination of the optimal imaging parameters in industrial computed tomography for dimensional measurements on monomaterial workpieces

Industrial computed tomography (CT) plays a key role in 3D coordinate metrology as an alternative to conventional coordinate measuring machines. CT measurement uncertainty depends on the setup parameters with which CT scans are performed. Currently, there is no established model that can describe the relationship between CT setup parameters and measurement uncertainty, and thus determine the optimal settings for a given measurement task. In practice, CT users choose setup parameters intuitively causing high variability in the measurement results. In this study, we enhance and validate an analytical method for optimizing imaging parameters. The proposed method is based on the assumption that minimizing the contribution of imaging parameters to measurement uncertainty corresponds to (1) maximizing image contrast and signal, (2) minimizing geometric blurring, and (3) minimizing image noise and CT artifacts. It also requires information about the workpiece nominal geometry and material composition. The proposed method calculates the optimal photon energy for precise surface determination, given the workpiece position and orientation. Tube voltage and prefilter are determined so that the resulting x-ray spectrum has an effective energy equal to the optimal energy and beam hardening artifacts are minimized. Tube current is chosen to maximize image signal, while avoiding blurring and excessive generated tube power. Exposure time is chosen as the shortest time that fully exploits the detector dynamics. The proposed method was validated by analyzing the standard deviations of CT measurements on a test phantom. An analysis of variance on the uncertainty components showed that the predicted parameters were globally optimal.
Temporal integration of infrasound at threshold

Infrasounds are signals with frequencies below the classical audio-frequency range, i.e., below 20 Hz. Several previous studies have shown that infrasound is audible as well, provided that the sound level is high enough. Hence, the sound pressure levels at threshold are much higher than those in the classical audio-frequency range. The present study investigates how the duration and the shape of the temporal envelope affect thresholds of infrasound stimuli in quiet. Two envelope types were considered: one where the duration of the steady state was varied (plateau bursts) and one where the number of consecutive onset–offset bursts was varied (multiple bursts). Stimuli were presented monaurally to human listeners by means of a low-distortion sound reproduction system. For both envelope types, thresholds decrease with increasing duration, a phenomenon often referred to as temporal integration. At the same duration, thresholds for plateau-burst stimuli are typically lower than those for multiple-burst stimuli. The data are well described by a slightly modified version of a model that was previously developed to account for temporal integration in the classical audio-frequency range. The results suggest similar mechanisms underlying the detection of stimuli with frequencies in the infrasound and in the classical audio-frequency range. Since the model accounts for the effect of duration and, more generally, the shape of the envelope, it can be used to enhance the comparability of existing and future datasets of thresholds for infrasounds with different temporal stimulus parameters.
Dynamics of a continuous Hénon model

We study a continuous Hénon system obtained by considering the discrete original model in continuous time. While the dynamics of the continuous model is trivial, we are able to recover the complexity of the discrete model by the introduction of time delays. In particular, high period limit cycles and chaotic attractors are observed. We illustrate the results with some numerical simulations.
An updated synthesis of and outstanding questions in the olfactory and vomeronasal systems in bats: Genetics asks questions only anatomy can answer

The extensive diversity observed in bat nasal chemosensory systems has been well‐documented at the histological level. Understanding how this diversity evolved and developing hypotheses as to why particular patterns exist require a phylogenetic perspective, which was first outlined in the work of anatomist Kunwar Bhatnagar. With the onset of genetics and genomics, it might be assumed that the puzzling patterns observed in the morphological data have been clarified. However, there is still a widespread mismatch of genetic and morphological correlations among bat chemosensory systems. Novel genomic evidence has set up new avenues to explore that demand more evidence from anatomical structures. Here, we outline the progress that has been made in both morphological and molecular studies on the olfactory and vomeronasal systems in bats since the work of Bhatnagar. Genomic data of olfactory and vomeronasal receptors demonstrate the strong need for further morphological sampling, with a particular focus on receiving brain regions, glands, and ducts.
Optical metasurfaces for subwavelength difference operations

Coupled metal nanostructures supporting localized surface plasmon resonances are represented as a nanoscale optical circuit that takes light fields as inputs and forms linear combinations of them with complex coefficients. The subwavelength arrays of these circuits form a metasurface that performs mathematical operations in two dimension on an incident light field. We demonstrate this concept with subwavelength scale plasmonic circuits that perform difference operations. The metasurface is fabricated from the arrays of coupled gold nanorods where each group of three rods forms the difference circuit. The operation of the metasurface is demonstrated experimentally.
Validation of computational fluid dynamic analysis of natural convection conditions for a resin dry-type transformer with a cabin

Many industrial products work under different constraints. Examples of these products include transformers and keeping them in certain operating temperatures is an important design constraint. However, since power transformers have different requirements, there are no standard products. For this reason, it is difficult and costly to test each one by considering these constraints and to design them accordingly. Satisfactory thermal analysis using a 3-D finite volume-based CFD model is an important step to understand natural convection and necessary design modifications under the desired conditions. The aim of this study is to verify the performance and reliability of the design by comparing the experimental results with 3-D finite volume analysis results by considering cooling of a dry resin type transformer with a cabin. The effect of the cabin on the product in terms of natural heat convection is also evaluate
siRNA targeting Atp5a1 gene encoding ATPase α, the ligand of Peg fimbriae, reduced Salmonella Enteritidis adhesion

ABSTRACT Salmonella enterica serovar Enteritidis (S. Enteritidis) is a zoonotic pathogen that can infect both humans and animals. Among the 13 types of fimbrial operons in S. Enteritidis, the highly conserved Peg fimbriae play a crucial role in the adhesion and invasion of S. Enteritidis into host cells but are not well studied. In this study, we identified the ATP synthase subunit alpha (ATPase α) as a ligand of Peg fimbriae using ligand blotting and mass spectrometry techniques. We confirmed the in vitro binding of ATPase α to the purified adhesion protein (PegD). Furthermore, we used siRNA to suppress the expression of ATPase α gene Atp5a1 in Leghorn male hepatoma (LMH) cells, which resulted in a significant reduction in the adhesion rate of S. Enteritidis to the cells (P < 0.05). The findings in this study provide insight into the mechanism of S. Enteritidis infection through Peg fimbriae and highlight the importance of ATPase α in the adhesion process. RESEARCH HIGHLIGHTS Ligand blotting was performed to screen the ligand of S. Enteritidis Peg fimbriae. Binding assay confirmed that ATPase α is the ligand of the Peg fimbriae. siRNA targeting ATPase α gene (Atp5a1) significantly reduced S. Enteritidis adhesion.
Molecular beam epitaxial growth and characterization of Al(Ga)N nanowire deep ultraviolet light emitting diodes and lasers

We report on the detailed molecular beam epitaxial growth and characterization of Al(Ga)N nanowire heterostructures on Si and their applications for deep ultraviolet light emitting diodes and lasers. The nanowires are formed under nitrogen-rich conditions without using any metal catalyst. Compared to conventional epilayers, Mg-dopant incorporation is significantly enhanced in nearly strain- and defect-free Al(Ga)N nanowire structures, leading to efficient p-type conduction. The resulting Al(Ga)N nanowire LEDs exhibit excellent performance, including a turn-on voltage of ∼5.5 V for an AlN nanowire LED operating at 207 nm. The design, fabrication, and performance of an electrically injected AlGaN nanowire laser operating in the UV-B band is also presented.
Social prescribing: an inadequate response to the degradation of social care in mental health

Summary Social prescribing is poorly defined and there is little evidence for its effectiveness. It cannot address the social determinants of mental health and it is unlikely to produce enduring change for that part of the population that suffers the worst physical and mental health, namely the most deprived and marginalised. It has emerged at a time of growing health inequity. This has occurred alongside the neglect of social care and of the social aspects of mental health intervention. Social prescribing gives a false impression of addressing social factors, and as such is counterproductive. We can do better than this.