Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift

Dynamic graph neural networks (DyGNNs) have demonstrated powerful predictive abilities by exploiting graph structural and temporal dynamics. However, the existing DyGNNs fail to handle distribution shifts, which naturally exist in dynamic graphs, mainly because the patterns exploited by DyGNNs may be variant with respect to labels under distribution shifts. In this paper, we propose to handle spatio-temporal distribution shifts in dynamic graphs by discovering and utilizing invariant patterns , i.e., structures and features whose predictive abilities are stable across distribution shifts, which faces two key challenges: 1) How to discover the complex variant and invariant spatio-temporal patterns in dynamic graphs, which involve both time-varying graph structures and node features. 2) How to handle spatio-temporal distribution shifts with the discovered variant and invariant patterns. To tackle these challenges, we propose the Disentangled Intervention-based Dynamic graph Attention networks ( DIDA ). Our proposed method can effectively handle spatio-temporal distribution shifts in dynamic graphs by discovering and fully utilizing invariant spatio-temporal patterns. Specifically, we first propose a disentangled spatio-temporal attention network to capture the variant and invariant patterns. Then, we design a spatio-temporal intervention mechanism to create multiple interventional distributions by sampling and reassembling variant patterns across neighborhoods and time stamps to eliminate the spurious impacts of variant patterns. Lastly, we propose an invariance regularization term to minimize the variance of predictions in intervened distributions so that our model can make predictions based on invariant patterns with stable predictive abilities and therefore handle distribution shifts. Experiments on three real-world datasets and one synthetic dataset demonstrate the superiority of our method over state-of-the-art baselines under distribution shifts. Our work is the first study of spatio-temporal distribution shifts in dynamic graphs, to the best of our knowledge
Detection and diagnosis of tomato leaf curl virus infecting tomato in Northern Karnataka

Tomato ( Lycopersicon esculentum Mill.) is an important and most widely grown vegetable crop in India. The begomo viruses’ affecting tomato in India is the most devastating and is a major limiting factor in the tomato production. The tomato leaf curl virus (ToLCV) was present in almost all fields of Belgaum, Dharwad and Haveri districts surveyed with the disease incidence ranged from 4-100% in rabi and was in severe form ranging from 60-100% during summer. All the five representative symptomatic samples collected from the different regions of North-Karnataka were found positive for polymerase chain reaction (PCR) amplification with specific primers for deoxyribonucleic acid (DNA); a component of tomato leaf curl Bangalore virus (ToLCBV). To examine the diversity of the sequences, phylogenetic trees were generated for the four CP sequences together with representative sequences available in gene Bank. The isolates under study clustered into two groups. The Dharwad isolate and Belgaum- 2 isolate were closely related (99.4% nucleotide similarity) and formed in to one cluster in which Haveri and Belgaum-1 isolates had comparatively less homology (97.30% nucleotide homology) between themselves and clustered into another sub group. The isolates under study had lowest nucleotide sequence homology of 53.50 to 53.90% with ToLCV 19.Patna (AJ 810358) followed by ToLCV 18.Malvastrum. Pa (AJ 810357) (53.50-54.00%), ToLCV 17. Nasik (AJ 810356) (53.90-54.30%), while they had highest homology of 92.40-96.00% with ToLCBV-AVT 1 (AY 428770). The results revealed that these isolates are entirely different from North Indian isolates and there is some variability within the isolates collected from a geographical location, indicating that there will be continuous variability in gemini viruses.
DIET PREFERENCES AND HABITAT USE IN RELATION TO REPRODUCTIVE STATES IN FEMALES OF A WILD GROUP OF MACACA MAURA INHABITING KARAENTA FOREST, SOUTH SULAWESI

CRISTINA SAGNOTTI. Diet Preferences and habitat use in relation to reproductive states in females of a wild group of Macaca maura inhabiting Karaenta Forest, South Sulawesi Environmental conditions and adequate availability of food resources may affect the reproductive outcome of female mammals. Energetic requirements are large on especially female primates (long gestation, lactation, carrying of the infant), possibly affecting conception rate which, in the long-term may affect local population size. We investigated how diet, activity budgets, and habitat use may differ in different reproductive states in wild female moor macaques (Macaca maura) in Karaenta (BABUL NP). Monkeys were followed 6 days every week for 7 months (August 2010-February 2011). Behavioral data were collected using scan sampling method. Results of this study indicated that female moor macaques consume a wide range of foods (72 plant and 2 fungi species), but are predominately frugivorous (82%) and relied heavily on fig fruits (31%). Females in the peri-ovulatory phase showed the most dietary diversity in terms of different items consumed (plants, fungi, and insects) while pregnant females showed the most diversity in terms of plant parts eaten (fruits, leaves, flowers, shoots and stems). Activity budgets differed depending on vertical (forest strata) use of the habitat and reproductive state: lactating females spent most of their time on the ground with predominant activities being locomotion (30%) and resting & social interactions (51%); periovulatory females tended to be at higher strata (2-10 meters) where main activities were foraging and feeding (62%).
The JPEG 2000 family of standards

The Joint Photographic Experts Group (JPEG) committee is a joint working group of the International Standardization Organization (ISO) and the International Electrotechnical Commission (IEC). The word "Joint" in JPEG however does not refer to the joint efforts of ISO and IEC, but to the fact that the JPEG activities are the result of an additional collaboration with the International Telecommunication Union (ITU). Inspired by technology and market evolutions, i.e. the advent of wavelet technology and need for additional functionality such as scalability, the JPEG committee launched in 1997 a new standardization process that would result in 2000 in a new standard: JPEG 2000. JPEG 2000 is a collection of standard parts, which together shape the complete toolset. Currently, the JPEG 2000 standard is composed out of 13 parts. In this paper, we review these parts and additionally address recent standardization initiatives within the JPEG committee such as JPSearch, JPEG-XR and AIC.
A morphological study on the Thamnochortus erectus complex (Restionaceae)

There are three closely related species within the Thamnochortus erectus group: T. erectus (Thunb.) Mast. , T. insignis Mast. andT. spicigerus (Thunb.) Spreng. These species are separated by characters of the female inflorescence morphology. It is shown that they also differ in characters of the culm anatomy, rhizome morphology and anatomy, flowering time, distribution, as well as further characters of the male and female inflorescences. This variation is related to some aspects of the biology of the species, thus showing that what appeared to be three very closely related species are in fact good biological species. This suggests that the traditional reliance on floral and inflorescence morphology in the Restionaceae may underestimate the differences among the species
Isolated lymph nodal recurrence after 10 years in FIGO Stage IA1 cervical adenocarcinoma treated with conization: case report and review of the literature Doi: 10.36129/jog.2022.84

Background . Cervical cancer (CC) represents the fourth most common cancer in women. Since about 25% of women with CC has 40 years or less, more and more women choose fertility-sparing surgery (FSS). FSS, such as conization, represents valid and safe procedures for patients with IA1 tumors without lymph-vascular involvement (LVSI); It has been established that, for this very early stage, the risk of node involvement is negligible (~ 1 %), that is why nodal staging can be skipped
An Approach for Estimating Causal Effects in Randomized Trials with Noncompliance

We developed methods for estimating the causal risk difference and causal risk ratio in randomized trials with noncompliance. The developed estimator is unbiased under the assumption that biases due to noncompliance are identical between both treatment arms. The biases are defined as the difference or ratio between the expectations of potential outcomes for a group that received the test treatment and that for the control group in each randomly assigned group. Although the instrumental variable estimator yields an unbiased estimate under a sharp null hypothesis but may yield a biased estimate under a non-null hypothesis, the bias of the developed estimator does not depend on whether this hypothesis holds. Then the estimate of the causal effect from the developed estimator may have a smaller bias than that from the instrumental variable estimator when the treatment effect exists. There is not yet a standard method for coping with noncompliance, and thus it is important to evaluate estimates under different assumptions. The developed estimator can serve this purpose. Its application to a field trial for coronary heart disease is provided.
Partial regularity for ! -minimizers of quasiconvex functionals

We establish partial regularity for the ω -minimizers of quasiconvex functionals of power growth. A ﬁrst-order partial regularity result of BV ω -minimizers is obtained in the linear growth case under a Dini-type condition on ω . Only assuming the smallness of ω near the origin,weshowpartialHöldercontinuityinthesubquadraticcasebyconsideringanormalised excess
Near Threshold Photoproduction of K Σ in Four Isospin Channels

Photoproduction of K Σ on the nucleon in four isospin channels has been investigated near their production thresholds by means of an isobar model. It is shown that in the proton channels ( K + Σ 0 and K 0 Σ + channels) the model can nicely reproduce experimental data. Due to the uncertainties in the neutron helicity amplitudes our predictions imply some uncertainties in the observables of the neutron channels ( K + Σ − and K 0 Σ 0 channels).
Asymptotic behaviors of Landau–Lifshitz ﬂows from R 2 to Kähler manifolds

In this paper, we study the asymptotic behaviors of ﬁnite energy solutions to the Landau–Lifshitz ﬂows from R 2 into Kähler manifolds. First, we prove that the solution with initial data below the critical energy converges to a constant map in the energy space as t → ∞ for the compact Riemannian surface targets. In particular, when the target is a two dimensional sphere, we prove that the solution to the Landau–Lifshitz–Gilbert equation with initial data having an energy below 4 π converges to some constant map in the energy space. The proof bases on the method of induction on energy and geometric renormalizations. Second, for general compact Kähler manifolds and initial data of an arbitrary ﬁnite energy, we obtain a bubbling theorem analogous to the Struwe’s results on the heat ﬂows.
Closed compact Taylor's droplets in a phase-separated lamellar-sponge mixture under shear flow

We have studied by optical microscopy, small-angle light scattering, and rheology, the behavior under shear flow of a phase-separated lamellar-sponge (Lα − L3) ternary mixture. We observe in the Lα-rich region (ΦLα > 80%) the existence of a Newtonian assembly made of closed compact monodisperse lamellar droplets immersed in the sponge phase. Contrary to the classical onion glassy texture obtained upon shearing Lα phases, the droplet size scales herein as −1, the inverse of the shear rate. This result is in good agreement with Taylor's picture. Above a critical shear rate, c, the droplets organize to form a single colloidal crystal whose lattice size varies as −1/3. To the memory of Tess Melissa P.
Slow light and broadband coherent phonon generation

Recent advance in controlling optical forces using nanostructures suggests that nanoscale optical waveguides are capable of generating coherent acoustic phonons efficiently through a combination of radiation pressure and electrostriction. We discuss the critical roles of group velocity in such processes. This photon-phonon coupling would allow an acoustic intermediary to perform on-chip optical delay with a capacity 105 greater than photonic delay lines of the same size.
σ 2 -Diffeomorphisms between 4-dimensional annuli

In this paper we study σ 2 -diffeomorphisms between 4-dimensional annuli, ﬁnd a Nitsche type phenomenon for σ 2 -diffeomorphisms in 4-dimensional annuli and propose the following conjecture: There is σ 2 - diffeomorphism between 4 -dimensional annuli A ( r , R ) and A ( r ∗ , R ∗ ) if and only if the bound
Nucleon and Δ Elastic and Transition Form Factors

We present a uniﬁed study of nucleon and Δ elastic and transition form factors, and compare predictions made using a framework built upon a Faddeev equation kernel and interaction vertices that possess QCD-like momentum dependence with results obtained using a symmetry-preserving treatment of a vector ⊗ vector contact-interaction. The comparison emphasises that experiments are sensitive to the momentum dependence of the running couplings and masses in the strong interaction sector of the Standard Model and highlights that the key to describing hadron properties is a veracious expression of dynamical chiral symmetry breaking in the bound-state problem. Amongst the results we describe, the following are of particular interest: G pE ( Q 2 )/ G pM ( Q 2 ) possesses a zero at Q 2 = 9 . 5GeV 2 ; any change in the interaction which shifts a zero in the proton ratio to larger Q 2 relocates a zero in G nE ( Q 2 )/ G nM ( Q 2 ) to smaller Q 2 ; there is likely a value of momentum transfer above which G nE > G pE ; and the presence of strong diquark correlations within the nucleon is sufﬁcient to understand empirical extractions of the ﬂavour-separated form factors. Regarding the Δ( 1232 ) -baryon, we ﬁnd that, inter alia : the electric monopole form factor exhibits a zero; the electric quadrupole form factor is negative, large in magnitude, and sensitive to the nature and strength of correlations in the Δ( 1232 ) Faddeev amplitude; and the magnetic octupole form factor is negative so long as rest-frame P and D -wave correlations are included. In connection with the N → Δ transition, the momentum-dependence of the magnetic transition form factor, G ∗ M , matches that of G nM once the momentum transfer is high enough to pierce the meson-cloud; and the electric quadrupole ratio is a keen measure of diquark and orbital angular momentum correlations, the zero in which is obscured by meson-cloud effects on the domain currently accessible to experiment. Importantly, within each framework, identical propagators and vertices are sufﬁcient to describe all properties discussed herein. Our analysis and predictions should therefore serve as motivation for measurement of elastic and transition form factors involving the nucleon and its resonances at high photon virtualities using modern electron-beam facilities.
First Release of PLATO Consortium Stellar Limb-darkening Coefficients

We release the first grid of stellar limb-darkening coefficients (LDCs) and intensity profiles (IPs) computed by the consortium of the PLAnetary Transits and Oscillations of stars (PLATO), the next medium-class (M3) mission under development by the European Space Agency to be launched in 2026. We have performed spectral synthesis with TurboSpectrum on a grid of MARCS model atmospheres. Finally, we adopted ExoTETHyS to convolve the high-resolution spectra (R = 2 × 105) with the state-of-the-art response functions for all the PLATO cameras, and computed the LDCs that best approximate the convolved IPs. In addition to the PLATO products, we provide new LDCs and IPs for the Kepler mission, based on the same grid of stellar atmospheric models and calculation procedures. The data can be downloaded from the following link: https://doi.org/10.5281/zenodo.7339706.
Observation of sub-Doppler temperatures in bosonic magnesium

Temperatures below the Doppler limit of $1.9\phantom{\rule{0.3em}{0ex}}\mathrm{mK}$ have been observed in magnesium. The strong cooling transition was modified by a coherent two-color excitation exploiting the longer lifetime of an upper level. We developed a theoretical model to describe the light forces and cooling originating from the induced quantum interference in a three-level system. Time-of-flight measurements verified temperatures of $500\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{K}$ in a one-dimensional (1D) molasses in accordance with our theoretical model. By implementing this scheme in a 3D magneto-optical trap with a single ir beam, temperatures as low as $1\phantom{\rule{0.3em}{0ex}}\mathrm{mK}$ could be realized. For ideal conditions we extrapolate to temperatures of $50\phantom{\rule{0.3em}{0ex}}\ensuremath{\mu}\mathrm{K}$. With cooling times of about $1\phantom{\rule{0.3em}{0ex}}\mathrm{ms}$, a fast and efficient cooling scheme was realized, particularly attractive for optical frequency standards.
Transient plane source techniques for thermal conductivity and thermal diffusivity measurements of solid materials

The general theory of the transient plane source (TPS) technique is outlined in some details with approximations for the two experimental arrangements that may be referred to as ‘‘hot square’’ and ‘‘hot disk. ’’ Experimental arrangements and measurements on two materials, Cecorite 130P and Corning 9606 Pyroceram, using a hot disk configuration, are reported and assessed.
Robust asymptotic state estimation of Takagi–Sugeno fuzzy Markovian jumping Hopfield neural networks with mixed interval time‐varying delays

In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the state estimation of uncertain Markovian jumping Hopfield neural networks with mixed interval time‐varying delays. The main purpose is to estimate the neuron states, through available output measurements such that for all admissible time delays, the dynamics of the estimation error are globally asmptotically stable in the mean square. Based on the Lyapunov–Krasovskii functional and stochastic analysis approach, several delay‐dependent robust state estimators for such T–S fuzzy Markovian jumping Hopfield neural networks can be achieved by solving a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. Finally a numerical example is provided to demonstrate the effectiveness of the proposed method. Copyright © 2011 John Wiley & Sons, Ltd.
A lightweight, automated neural network-based stage-specific malaria detection software using dimension reduction: The malaria stage classifier

Due to climate change and the COVID-19 pandemic, the number of malaria cases and deaths increased between 2019 and 2020. Reversing this trend and eliminating malaria worldwide requires improvements in malaria diagnosis, in which artificial intelligence (AI) has recently been demonstrated to have a great potential. Here, we describe an AI-based approach that boosts the performance of light (LM), atomic force (AFM) and fluorescence microscopy (FM)-based malaria diagnosis. As the main challenge, the stage-specific recognition of infected red blood cells (RBCs) usually requires large sets of microscopy images for training a neural network, which is difficult to obtain. Our tool, the Malaria Stage Classifier, provides a fast, high-accuracy recognition that works even with limited training sets due to a smart reduction of data dimension. Individual RBCs are extracted from an image, reduced to characteristic one-dimensional cross-sections, and classified. We show that our method is applicable to images recorded by various microscopy techniques. It is available as a software package at https://github.com/KatharinaPreissinger/Malaria_stage_classifier and can be used within a python environment. Technical support is provided by the corresponding author (katharina.preissinger@physik.uni-augsburg.de).
Wearable devices can identify Parkinson's disease up to 7 years before clinical diagnosis

Parkinson's disease (PD) is a progressive neurodegenerative movement disorder with a long latent phase and no currently existing disease-modifying treatments. Reliable predictive biomarkers that could transform efforts to develop neuroprotective treatments remain to be identified. Using UK Biobank, we investigated the predictive value of accelerometry in identifying prodromal PD in the general population and compared this digital biomarker to models based on genetics, lifestyle, blood biochemistry, and prodromal symptoms data. Machine learning models trained using accelerometry data achieved high test performance in distinguishing both clinically diagnosed PD (AUROC: 0.83{+/-}0.03, AUPRC: 0.51{+/-}0.06) and prodromal PD up to seven years pre-diagnosis (AUROC: 0.81{+/-}0.03, AUPRC: 0.37{+/-}0.05) from the general population, and outperformed all other modalities tested. Accelerometry is a potentially important, low-cost screening tool for identifying people at risk of developing PD and identifying subjects for clinical trials of neuroprotective treatments.