Miracle-dz/UniFAR-FTUs huggingface dataset:
Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images

Aneuploidy is a hallmark of aggressive malignancies associated with therapeutic resistance and poor survival. Measuring aneuploidy requires expensive specialized techniques that are not clinically applicable. Deep learning analysis of routine histopathology slides has revealed associations with genetic mutations. However, existing studies focus on image tiles, and there is no prior work that predicts aneuploidy using single-cell analysis. Here, we present a single-cell heterogeneity-aware and transformer-guided deep learning framework to predict aneuploidy from whole slide histopathology images. First, we perform nuclei segmentation and classification to obtain individual cancer cells, which are clustered into multiple subtypes. The cell subtype distributions are computed to measure cancer cell heterogeneity. Additionally, morphological features of different cell subtypes are extracted. Further, we leverage a multiple instance learning module with Transformer, which encourages the network to focus on the most informative cancer cells. Lastly, a hybrid network is built to unify cell heterogeneity, morphology, and deep features for aneuploidy prediction. We train and validate our method on two public datasets from TCGA: lung adenocarcinoma (LUAD) and head and neck squamous cell carcinoma (HNSC), with 339 and 245 patients. Our model achieves promising performance with AUC of 0.818 (95% CI: 0.718–0.919) and 0.827 (95% CI: 0.704–0.949) on the LUAD and HNSC test sets, respectively. Through extensive ablation and comparison studies, we demonstrate the effectiveness of each component of the model and superior performance over alternative networks. In conclusion, we present a novel deep learning approach to predict aneuploidy from histopathology images, which could inform personalized cancer treatment.
User-Friendly Public-Key Authenticated Encryption With Keyword Search for Industrial Internet of Things

The Industrial Internet of Things (IIoT) incorporates massive physical devices to collect ambient data. Due to the limited types of equipment in IIoT, most of the data has to be saved on a cloud server before it can be processed and analyzed. The ciphertext generated by traditional encryption techniques is difficult to search in subsequent use. Public-key encryption with keyword search (PEKS) can provide data encryption as well as confidential searching, but traditional PEKS schemes are susceptible to internal keyword guessing attacks (IKGAs) caused by the limited space of commonly used keywords. To address this issue, the cryptographic primitive of public-key authenticated encryption with keyword search (PAEKS) was proposed, while most of the existing schemes are not appropriately applied to IIoT for involving time-consuming bilinear pairing operations. In this article, we first propose a user-friendly PAEKS scheme that totally circumvents bilinear pairing operations during generating keyword ciphertext and trapdoor. Then, we prove its multiciphertext indistinguishability (MCI) and trapdoor privacy based on decisional $q$ -ABDHE and computational Diffie–Hellman assumptions in the random oracle model together with conducting the theoretical and experimental comparisons. The results show that the computational overhead of our proposal is significantly reduced comparing with most existing classical PAEKS schemes without causing other communication costs or security loss. Due to its better performance and security, our scheme is better suited for lightweight devices in the IIoT.
Modèle mécanique pour les poutres à larges ouvertures d’âmes de section variable

RÉSUMÉ. Les demandes architecturales, et parfois techniques, ont mené vers la création de nouvelles formes géométriques de poutres cellulaires, avec des ouvertures sinusoïdales. Des essais à la ruine sont réalisés au LaMI (Université Blaise Pascal) en coopération avec ArcelorMittal sur des poutres de dimensions réelles. Les résultats expérimentaux permettent de comprendre le fonctionnement mécanique de ces poutres et de calibrer les modèles numériques. Le modèle éléments finis développé sur SAFIR permet d’évaluer les potentiels de développement de la ruine par plastification ou voilement local des parois autour des ouvertures de formes sinusoïdale par flexion Vierendeel. Le modèle numérique validé servira de base à une étude paramétrique qui permettra de développer une nouvelle méthode de calcul analytique généralisable à des formes d’ouvertures variables.
Genome-Wide Analysis of DREB Family Genes and Characterization of Cold Stress Responses in the Woody Plant Prunus nana

Dehydration response element binding factor (DREB) is a family of plant-specific transcription factors, whose members participate in the regulation of plant responses to various abiotic stresses. Prunus nana, also known as the wild almond, is a member of the Rosaceae family that is rare and found to grow in the wild in China. These wild almond trees are found in hilly regions in northern Xinjiang, and exhibit greater drought and cold stress resistance than cultivated almond varieties. However, the response of P. nana DREBs (PnaDREBs) under low temperature stress is still unclear. In this study, 46 DREB genes were identified in the wild almond genome, with this number being slightly lower than that in the sweet almond (Prunus dulcis cultivar ‘Nonpareil’). These DREB genes in wild almond were separated into two classes. All PnaDREB genes were located on six chromosomes. PnaDREB proteins that were classified in the same groups contained specific shared motifs, and promoter analyses revealed that PnaDREB genes harbored a range of stress-responsive elements associated with drought, low-temperature stress, light responsivity, and hormone-responsive cis-regulatory elements within their promoter regions. MicroRNA target site prediction analyses also suggested that 79 miRNAs may regulate the expression of 40 of these PnaDREB genes, with PnaDREB2. To examine if these identified PnaDREB genes responded to low temperature stress, 15 of these genes were selected including seven homologous to Arabidopsis C-repeat binding factor (CBFs), and their expression was assessed following incubation for 2 h at 25 °C, 5 °C, 0 °C, −5 °C, or −10 °C. In summary, this analysis provides an overview of the P. nana PnaDREB gene family and provides a foundation for further studies of the ability of different PnaDREB genes to regulate cold stress responses in almond plants.
A new family of Gold-like sequences

Families of sequences with low cross correlation have important applications in CDMA communications and cryptography. One class of such sequences are those which have period 2/sup n/-1 and cross correlation values -1, -1/spl plusmn/2 /sup (n+1)/2/ with m-sequence represented by Tr(x) when n is odd. These sequences are called Gold-like sequences and they are well studied in the literature, In this paper, we generalise their concept and consider sequences over GF(2/sup n/), n odd. Using techniques from linear algebra and coding theory, we can efficiently determine if the sequence is Gold-like by a polynomial gcd computation. Using the tools developed, we prove that the sequence is Gold-like for all choice of coefficients if and only if n is a prime of certain form.
Estratégia de controle para o seguimento de referências em sistemas com atuadores saturantes

This work addresses the problem of tracking constant references for linear systems subject to control saturation. The main idea is to present LMI conditions in order to design both a stabilizing controller and an anti-windup gain. These conditions ensure that the trajectories of the closed-loop system are bounded by an invariant ellipsoidal set, provided that the initial conditions are taken in this set and the references and the disturbances belong to a certain admissible set. The constant reference tracking and constant disturbance rejection is taken into account by the internal model principle, i. e. , considering the introduction of an integral action in a unitary output feedback scheme. We also introduce the error co-ordinate representation, where is proved that there exists only one equilibrium point inside the linearity region and that this equilibrium point ensures perfect reference tracking. In order to consider the saturation effects, we use a modified sector condition, introducing new degrees of freedom to the synthesis problem. In a first step, the proposed framework was applied to the control scheme called “intelligent integrators”, regarding continuous-time systems. However, this control scheme does not allow the simultaneous synthesis so it is simplified to the so called “classical” anti-windup scheme. Based on this simplified control structure, LMI conditions are directly derived, avoiding therefore the necessity of applying iterative schemes. Convex optimization problems aiming at the maximization of the invariant set of admissible states and/or the maximization of the set of admissible references/disturbances are proposed. We show, by means of an example, that the obtained results are less conservative than the ones previously presented in related works. In these examples, we also show that a study about the existence of other equilibria inside the invariant set is worthwhile. Later, the proposed framework is extended to discrete-time systems, where new LMI conditions are presented in order to synthesize the controller and present an estimate of the stability domains. Due to a lack of related works, our framework is applied to stable, unstable and integrator examples. These examples consider both single and multi-variable systems. Finally, we conclude this work with a study about the possibility of existence of other equilibria inside the invariant set. For the single-input case, we show that this is only possible if the open-loop system is asymptotically stable. In this case, in order to avoid convergence to these points, additional constraints on the admissible references to be tracked should be considered. It is worth to emphasize that such kind of analysis has not been performed in previous works.
Comparison of SPEED, S-Trap, and In-Solution-Based Sample Preparation Methods for Mass Spectrometry in Kidney Tissue and Plasma

Mass spectrometry is a powerful technique for investigating renal pathologies and identifying biomarkers, and efficient protein extraction from kidney tissue is essential for bottom-up proteomic analyses. Detergent-based strategies aid cell lysis and protein solubilization but are poorly compatible with downstream protein digestion and liquid chromatography-coupled mass spectrometry, requiring additional purification and buffer-exchange steps. This study compares two well-established detergent-based methods for protein extraction (in-solution sodium deoxycholate (SDC); suspension trapping (S-Trap)) with the recently developed sample preparation by easy extraction and digestion (SPEED) method, which uses strong acid for denaturation. We compared the quantitative performance of each method using label-free mass spectrometry in both sheep kidney cortical tissue and plasma. In kidney tissue, SPEED quantified the most unique proteins (SPEED 1250; S-Trap 1202; SDC 1197). In plasma, S-Trap produced the most unique protein quantifications (S-Trap 150; SDC 148; SPEED 137). Protein quantifications were reproducible across biological replicates in both tissue (R2 = 0.85–0.90) and plasma (SPEED R2 = 0.84; SDC R2 = 0.76, S-Trap R2 = 0.65). Our data suggest SPEED as the optimal method for proteomic preparation in kidney tissue and S-Trap or SPEED as the optimal method for plasma, depending on whether a higher number of protein quantifications or greater reproducibility is desired.
Spectroscopy and isotope shifts of the 4s3d 1D2–4s5p 1P1 repumping transition in magneto-optically trapped calcium atoms

We investigate a repumping scheme for magneto-optically trapped calcium atoms. It is based on excitation of the 4s3d1D2-4s5p1P1 transition at 672 nm with an extended cavity diode laser. The effect of the repumping is approximately a factor of three increase in trap lifetime and a doubling of the trapping efficiency from a Zeeman slowed thermal beam. Added to this, the 672-nm laser repumps atoms from an otherwise dark state to yield an overall increase in detected fluorescence signal from the magneto-optic trap (MOT) of more than an order of magnitude. Furthermore, we report isotope shift measurements of the 672-nm transition, for the first time, for four naturally occurring even isotopes. Using available charge radii data, the observed shifts, extending up to 4.3 GHz, display the expected linear dependence in a King plot analysis. The measured shifts are used to determine the isotope shifts of the remaining 41,43,46Ca isotopes. These might be of interest where less abundant isotopes are used enabling isotope selective repumping, resulting in enhanced trapping and detection efficiencies.
Managing environmental noise in Hong Kong

Hong Kong is well known for its economic vibrancy and its hyper densely population: more than 7 million people living in a total area of slightly over 1000 square kilometers of hilly areas. Most of these people live and work in about 20% of the total land area, resulting in probably the highest densities in the world. The high population density is also matched by a large number of vehicles running in the roads. At present, there are over 400 000 vehicles operating on a highway network less than 1000 km in length. With all these factors plus many urban activities associated with the rapid growth and development, noise is an important environmental issue in the city. Although there are many dimensions for the quality of life, the acoustic environment is undoubtedly an essential part of it, especially when the people’s aspirations increase as the society develops. This paper summarizes the development of strategies for controlling environmental noise in Hong Kong in the past two decades. The current situ.
Estimation ellipsoidale des paramètres dynamiques d'un robot parallèle

This paper presents an alternate solution to the maximum likelihood approach, usually employed for estimating the physical parameters of dynamic models of robots, through the application of reliable approaches in a bounded error context. The robot is modelled with Lagrange equations, which lead to an inverse dynamic model linear with respect to the physical parameters. The error is taken additive on the input (motor torque) and is assumed to be bounded. In this bounded-error context, an ellipsoidal method is applied while minimizing two types of criteria (determinant or trace) and implemented in a factorised form to ensure numerical stability. Experimental results are exhibited for a fully parallel robot with 4 degrees of freedom.
Wideband Filtering Omnidirectional Substrate-Integrated Dielectric Resonator Antenna Covering Ku Band

A filtering omnidirectional substrate-integrated dielectric resonator antenna (SIDRA) covering Ku band is proposed. With the boundary realized by arrays of nonmetallic vias, the cylindrical SIDRA possesses a high level of integration, a low profile, and easy assembly. The SIDRA operates at the dominant mode fed and coupled by a capacitive loaded probe with a wide band. One array of shorted and another array of open metallic vias are set in the SIDRA to introduce radiation nulls in the low and high stopbands, and to simultaneously generate two radiation pin modes. The two via arrays could further broaden the fractional bandwidth of gain to 49.2%. The proposed SIDRA shows good omnidirectivity and good frequency selectivity with high in-band gain and without the risk of utilizing blind holes. For demonstration, a prototype is designed and fabricated. The simulated and measured results show good agreement.
The Growth of Bayesian Methods in Statistics and Economics Since 1970

To measure the impact of Bayesian reasoning, this paper investigates the occurrence of two words, \Bayes" and \Bayesian," since 1970 in journal articles in a variety of disciplines, with a focus on economics and statistics. The growth in statistics is documented, but the growth in economics is largely conned to economic theory/mathematical economics rather than econometrics.
Preparation of HfNbTiTaZr Thin Films by Ionized Jet Deposition Method

The ionized jet deposition (IJD) method is applied to the preparation of thin films composed of refractory HfNbTiTaZr high-entropy alloy (HEA). Due to its stoichiometric reliability, the IJD method provides a flexible tool for deposition of complex multi-element materials, such as HEAs. Scanning electron microscopy, energy-dispersion spectroscopy, confocal microscopy, and X-ray diffraction methods are used to characterize the influence of the applied accelerating voltage of the IJD deposition head ranging from 16 to 22 kV on the resulting morphology, chemical composition, thickness, crystalline structure, and phase composition of the layers prepared as 10 mm-wide strips on a single stainless-steel substrate. With a low accelerating voltage applied, the best surface homogeneity is obtained. Transfer coefficient values characterizing the elemental transport between the bulk target and the grown layer are evaluated for each constituting element and applied voltage. With the IJD accelerating voltage approaching 22 kV, the coefficients converge upon the values proportional to the atomic number of the element. Such voltage dependence of the IJD elemental transport might be used as a suitable tool for fine-tuning the elemental composition of layers grown from a single deposition target.
Imaging and reconstruction of positive streamer discharge tree structures

Streamer discharges often exhibit branching, which can greatly affect their behavior and will lead to so-called streamer trees. In this work we present a methodology for investigating the structure of a streamer discharge tree by means of advanced imaging techniques. Stereoscopic and stroboscopic techniques augment the images with depth perception and temporal information relevant to study the inherently stochastic three-dimensional and transient streamers. A semi-automated post processing algorithm is developed to make a reconstruction of the streamer discharge tree formation. This results in a tree of streamer segments, separated by branching events, where velocities, diameters and trajectories are used to characterize the morphology. The workings of the algorithm is detailed using an exemplar measurement series of positive streamers in synthetic air at 233 mbar.
Variabiliteit en interne structurering van woordbetekenis

De lexicale semantiek van pakweg de laatste vijftien jaar wordt gekenmerkt door een paradigma-wisseling in de zin van Kuhn ( 1962); de structuralistische en transformalistische lexicale semantiek vormen niet langer de dominante theoretische kaders waarbinnen aan de studie van woordbetekenis wordt gedaan • De zogenaamde cognitieve semantiek lijkt momenteel de theorie te zijn die het onderzoek beheerst. Deze linguïstische 'school' onderscheidt zich op een aantal wezenlijke punten van de traditionele opvattingen over woordbetekenis. De belangrijkste klassieke opvattingen die door de cognitieve semantiek worden bekritiseerd, zijn de volgende ( cfr. Geeraerts, 1985: 151): a. Woordbetekenis is een onderdeel van een autonome linguïstische kennis. b. De betekenis van een woord x wordt gezien als een verzameling van noodzakelijke en voldoende voorwaarden waaraan een referent dient te voldoen om met dat woord benoemd te kunnen worden. Kortom, betekenis wordt gelijkgesteld met een verzameling van essentiële attributen. c. Alle leden van een lexicale categorie X ( d.w.z. de conceptuele categorie die beantwoordt aan het woord x) hebben een gelijke status. Hetzelfde geldt voor de kenmerken die een woord x oproept. Als woordbetekenis een verzameling van essentiële kenmerken is ( cfr. b ), dan moeten al die kenmerken wel een gelijke status hebben. Logisch gezien is het immers onzinnig om het te hebben over kenmerken die 'minder essentieel' zijn. d. Uit b volgt ook dat de grenzen van de categorie die door een woord wordt benoemd, duidelijk zijn. De vraag of het woord x op een referent Y kan worden toegepast laat zich simpelweg met ja of neen beantwoorden. Y is dus of lid of geen lid van de categorie X.
Hot water around late-type stars - Detection of two millimeter-wave emission lines from the nu2 vibrationally excited state

The first astronomical detection of two millimeter-wave emission lines from vibrationally excited water is reported. The 96 GHz 4(40)-5(33) and the 232 GHz 5(50)-6(43) rotational transitions within the nu2 vibrationally excited state of H2O have been discovered toward the supergiant star VY CMa. The latter transition was also detected toward the semiregular variable W Hya. The 4(40)-5(33) transition shows definite signs of maser action while the 5(50)-6(43) emission may be of (quasi-)thermal nature. Based on a comparison of the line profiles of the 22 GHz H2O masers, various SiO maser lines, and the nu2 H2O emission, it is concluded that the vibrationally excited H2O and the SiO masers probably arise from a region in which the expansion of the circumstellar envelope has not yet begun and some infalling motions are present. This region is closer to the star than the part of the envelope that gives rise to the 22 GHz H2O masers. 18 refs.
Novel recursive and symmetric algorithm of fast computing two kinds of orthogonal radial moments

Abstract Owing to the computational complexities of orthogonal Mellin polynomials and Jacobi (p=4, q=3) polynomials, Orthogonal Fourier-Mellin moments and Pseudo-Jacobi (p=4, q=3)-Fourier moments have not been extensively used as feature descriptors. The conventional fast algorithms of radial moments focus on reducing the computation complexity of the radial polynomials. Nevertheless, they seldom take the optimisation of computing the kernel Fourier functions into account. In this paper, the authors propose a novel algorithm based on the two properties of kernel functions, which are recurrence relation and symmetry, to accelerate the computation of the two kinds of moments. The recurrence relations derived from the Jacobi polynomials eliminate the factorial iterations and exponent operations in computing the kernel polynomials. The symmetry property helps the authors perform the computation of the kernel functions, which include the kernel polynomials and Fourier functions, only in the region where 0<r<1, 0<θ<π/4. In addition to saving the storage required for the kernel functions, the symmetry property reducing the computation time greatly. The performance of the proposed algorithm on moment computation, as compared to those of the present methods, is experimentally verified by using a set of binary and greyscale images.
SMART HOME SECURITY APPLICATION

Protection of our personal properties is a key challenge and prior responsibility every time which affects massively on a day-to-day life. The current system of achieving security has plenty of drawbacks and less secure. The main goalof implementing a home security and automation system is to achieve apowerful and more secure way to handle the day-to-day stuff preventing from misuse hands and keeping track of usage of home electrical appliances to know the necessary and unnecessary actions. The system is built on IoT (Internet of things) to make more accurate and error-free control over the flow of the system. To make the difference from the existing system, in this proposed system we built the communication of hardware devices with an application where devices take commands and operate it while application rise the commands and keeps track of each transaction made so far. The combination of hardware and software will make life easier and saferfor its users.