Miracle-dz/UniFAR-FTUs huggingface dataset:
A Three-Dimensional ResNet and Transformer-Based Approach to Anomaly Detection in Multivariate Temporal–Spatial Data

Anomaly detection in multivariate time series is an important problem with applications in several domains. However, the key limitation of the approaches that have been proposed so far lies in the lack of a highly parallel model that can fuse temporal and spatial features. In this paper, we propose TDRT, a three-dimensional ResNet and transformer-based anomaly detection method. TDRT can automatically learn the multi-dimensional features of temporal–spatial data to improve the accuracy of anomaly detection. Using the TDRT method, we were able to obtain temporal–spatial correlations from multi-dimensional industrial control temporal–spatial data and quickly mine long-term dependencies. We compared the performance of five state-of-the-art algorithms on three datasets (SWaT, WADI, and BATADAL). TDRT achieves an average anomaly detection F1 score higher than 0.98 and a recall of 0.98, significantly outperforming five state-of-the-art anomaly detection methods.
The Riemann problem for a generalized Burgers equation with spatially decaying sound speed. I Large‐time asymptotics

In this paper, we consider the classical Riemann problem for a generalized Burgers equation, ut+hα(x)uux=uxx,$$\begin{equation*} u_t + h_{\alpha }(x) u u_x = u_{xx}, \end{equation*}$$with a spatially dependent, nonlinear sound speed, hα(x)≡(1+x2)−α$h_{\alpha }(x) \equiv (1+x^2)^{-\alpha }$ with α>0$\alpha >0$ , which decays algebraically with increasing distance from a fixed spatial origin. When α=0$\alpha =0$ , this reduces to the classical Burgers equation. In this first part of a pair of papers, we focus attention on the large‐time structure of the associated Riemann problem, and obtain its detailed structure, as t→∞$t\rightarrow \infty$ , via the method of matched asymptotic coordinate expansions (this uses the classical method of matched asymptotic expansions, with the asymptotic parameters being the independent coordinates in the evolution problem; this approach is developed in detail in the monograph of Leach and Needham, as referenced in the text), over all parameter ranges. We identify a significant bifurcation in structure at α=12$\alpha =\frac{1}{2}$ .
Salivary Metabolomic Signatures and Body Mass Index in Italian Adolescents: A Pilot Study

Abstract Context Obesity surveillance is scarce in adolescents, and little is known on whether salivary metabolomics data, emerging minimally invasive biomarkers, can characterize metabolic patterns associated with overweight or obesity in adolescents. Objective This pilot study aims to identify the salivary molecular signatures associated with body mass index (BMI) in Italian adolescents. Methods Saliva samples and BMI were collected in a subset of n = 74 young adolescents enrolled in the Public Health Impact of Metal Exposure study (2007-2014). A total of 217 untargeted metabolites were identified using liquid chromatography-high resolution mass spectrometry. Robust linear regression was used to cross-sectionally determine associations between metabolomic signatures and sex-specific BMI-for-age z-scores (z-BMI). Results Nearly 35% of the adolescents (median age: 12 years; 51% females) were either obese or overweight. A higher z-BMI was observed in males compared to females (P = .02). One nucleoside (deoxyadenosine) and 2 lipids (18:0-18:2 phosphatidylcholine and dipalmitoyl-phosphoethanolamine) were negatively related to z-BMI (P < .05), whereas 2 benzenoids (3-hydroxyanthranilic acid and a phthalate metabolite) were positively associated with z-BMI (P < .05). In males, several metabolites including deoxyadenosine, as well as deoxycarnitine, hyodeoxycholic acid, N-methylglutamic acid, bisphenol P, and trigonelline were downregulated, while 3 metabolites (3-hydroxyanthranilic acid, theobromine/theophylline/paraxanthine, and alanine) were upregulated in relation to z-BMI (P < .05). In females, deoxyadenosine and dipalmitoyl-phosphoethanolamine were negatively associated with z-BMI while deoxycarnitine and a phthalate metabolite were positively associated (P < .05). A single energy-related pathway was enriched in the identified associations in females (carnitine synthesis, P = .04). Conclusion Salivary metabolites involved in nucleotide, lipid, and energy metabolism were primarily altered in relation to BMI in adolescents.
Targeting Cancer Stem Cells as the Key Driver of Carcinogenesis and Therapeutic Resistance

The emerging concept of cancer stem cells (CSCs) as the key driver behind carcinogenesis, progression, and diversity has displaced the prior model of a tumor composed of cells with similar subsequently acquired mutations and an equivalent capacity for renewal, invasion, and metastasis. This significant change has shifted the research focus toward targeting CSCs to eradicate cancer. CSCs may be characterized using cell surface markers. They are defined by their capacity to self-renew and differentiate, resist conventional therapies, and generate new tumors following repeated transplantation in xenografted mice. CSCs’ functional capabilities are governed by various intracellular and extracellular variables such as pluripotency-related transcription factors, internal signaling pathways, and external stimuli. Numerous natural compounds and synthetic chemicals have been investigated for their ability to disrupt these regulatory components and inhibit stemness and terminal differentiation in CSCs, hence achieving clinical implications. However, no cancer treatment focuses on the biological consequences of these drugs on CSCs, and their functions have been established. This article provides a biomedical discussion of cancer at the time along with an overview of CSCs and their origin, features, characterization, isolation techniques, signaling pathways, and novel targeted therapeutic approaches. Additionally, we highlighted the factors endorsed as controlling or helping to promote stemness in CSCs. Our objective was to encourage future studies on these prospective treatments to develop a framework for their application as single or combined therapeutics to eradicate various forms of cancer.
The CTH Network: An NoC Platform for Scalable and Energy Efficient Application Mapping Solution

Multi-threaded design of the applications has given a new dimension to the execution concurrency. The Network-on-Chip (NoC) infrastructure has evolved as the communication backbone in multiprocessor System-on-Chips (MPSoCs) to exploit Thread-Level Parallelism (TLP). Mapping the threads of various applications on the processing cores is crucial in utilizing the resources of a many-core system. An application's performance depends primarily on the mapping strategy. However, the performance of an application gets influenced significantly by the underlying network architecture of the NoC. The present work proposes a run-time application mapping technique based on the Cube-Tree-Hybrid (CTH) topology focusing on the traffic load balancing across the network. The mapping overhead decreased significantly by exploiting the low network diameter of CTH with its high scalability and path diversity, projecting a 31% reduction in normalized execution time over the prevalent algorithms on the existing mapping platforms. Rigorous experimentation with varying application and network sizes is carried out across mesh, ZMesh, torus, and Mest-of-Tree (MoT) networks. The experimental observations project that the proposed algorithm results in sustainable application performance with 15%-21% gain in the overall energy consumption over the existing state-of-the-art techniques across various benchmark workloads.
EPHA3 Could Be a Novel Prognosis Biomarker and Correlates with Immune Infiltrates in Bladder Cancer

Simple Summary Bladder cancer is a type of malignant tumor. Eighty percent of patients are diagnosed with non-muscle-invasive bladder cancer (NMIBC), which has a good prognosis, but it reoccurs often. The other patients are diagnosed with muscle-invasive bladder cancer (MIBC), which is associated with high mortality and metastasis rates. We urgently need to explore novel early diagnostic biomarkers and therapeutic targets. Our study reveals the anti-cancer role of EPHA3 and its potential value in immunotherapy. Abstract Purpose: To assess the mechanism of EPH receptor A3 (EPHA3) and its potential value for immunotherapy in BLCA. Materials and Methods: The Cancer Genome Atlas (TCGA) bladder cancer (BLCA) database and the Gene Expression Omnibus (GEO) database were used for assessing whether EHPA3 could be used to predict BLCA prognosis. This work carried out in vitro and in vivo assays for exploring how EPHA3 affected the biological behaviors. The downstream pathway was explored using a Western blotting technique. The CIBERSORT, ESTIMATE, TIMER, and TIDE tools were used to predict the immunotherapy value of EPHA3 in BLCA. Results: EPHA3 was poorly expressed in BLCA (p < 0.05), its high expression is related to a good survival prognosis (p = 0.027 and p = 0.0275), and it has a good predictive ability for the histologic grade and status of BLCA (area under curve = 0.787 and 0.904). Overexpressed EPHA3 could inhibit BLCA cell biological behaviors, and it be associated with the downregulation of the Ras/pERK1/2 pathway. EPHA3 was correlated with several immune-infiltrating cells and the corresponding marker genes. Conclusions: EPHA3 could be regarded as an acceptable anti-cancer biomarker in BLCA. EPHA3 plays an inhibiting role in BLCA, and it could be the candidate immunotherapeutic target for BLCA.
Biological and chemical sensors for cancer diagnosis

The great challenge for sensor systems to be accepted as a relevant diagnostic and therapeutic tool for cancer detection is the ability to determine the presence of relevant biomarkers or biomarker patterns comparably to or even better than the traditional analytical systems. Biosensor and chemical sensor technologies are already used for several clinical applications such as blood glucose or blood gas measurements. However, up to now not many sensors have been developed for cancer-related tests because only a few of the biomarkers have shown clinical relevance and the performance of the sensor systems is not always satisfactory. New genomic and proteomic tools are used to detect new molecular signatures and identify which combinations of biomarkers may detect best the presence or risk of cancer or monitor cancer therapies. These molecular signatures include genetic and epigenetic signatures, changes in gene expressions, protein biomarker profiles and other metabolite profile changes. They provide new changes in using different sensor technologies for cancer detection especially when complex biomarker patterns have to be analyzed. To address requirements for this complex analysis, there have been recent efforts to develop sensor arrays and new solutions (e.g. lab on a chip) in which sampling, preparation, high-throughput analysis and reporting are integrated. The ability of parallelization, miniaturization and the degree of automation are the focus of new developments and will be supported by nanotechnology approaches. This review recaps some scientific considerations about cancer diagnosis and cancer-related biomarkers, relevant biosensor and chemical sensor technologies, their application as cancer sensors and consideration about future challenges.
Experiences of Young People and Their Carers with a Rural Mobile Mental Health Support Service: A Qualitative Study

Mental health difficulties during teenage years are common. They are also a risk factor for later mental and physical health problems. Rural young people are at a greater risk for mental health difficulties and have less access to services than their urban counterparts. The purpose of this study was to explore the experiences of young people and their carers with mental health support provided by a rural mobile service, and to identify access enablers from the perspective of the service users. A qualitative descriptive approach was used to analyse twelve interviews with current service users and eight interviews with family members of young people who had accessed the service. Three main themes were identified: (a) access and flexibility, (b) the qualities and strategies of the clinicians, and (c) experiences of change. The mobile service was perceived to be effective in producing a positive change in mental health, relationships, and the attainment of life goals. Key enablers to access included the flexibility of the mobile service, the variety of service delivery modes and therapeutic methods offered, the ease of access facilitated by the location in schools, and the autonomy of young people in how they chose to utilise the service. This study provides information about what is important to rural young people and their families in the provision of mental health services. The findings have implications for changing the way services are organized and operated. Healthcare policies and services could support a user-led model design that incorporates access and use-enablers and removes barriers to rural mental health support.
Importance of Social Support of Parents of Children with Cancer: A Multicomponent Model Using Partial Least Squares-Path Modelling

The purpose of the present study is to build a model combining some variables that have been previously studied separately to improve our understanding on how they relate in parents of children with cancer. A total of 112 parents with an average age of 41 completed the self-assessment questionnaires containing the factors studied: social support received, social support provided, stress, adjustment of parents and life satisfaction. Two models were developed: one for social support received and one for social support provided. Structural equation models based on the variance estimated through partial least squares were used to analyze factors involved in quality of life based on an exploratory model of second order. The estimated model was robust in terms of quality of measurement (reliability and validity). According to results from the structural model, in the model of social support received, the impact of social support received on stress was considerable (β = −0.26; p = 0.02) and it explained 16% of the variance. The impact of social support received by parents on their adjustment (β = −0.56; p < 0.001) was also considerable, explaining 32% of the variance. Finally, adjustment of parents also showed an effect on life satisfaction (β = −0.33; p < 0.001) and it explained 26% of the variance. However, the relation between social support received (β = 0.15; p = 0.11) and life satisfaction, the relation between stress (β = −0.15; p = 0.08) and life satisfaction, and the relation between adjustment of parents (β = 0.20; p = 0.07) and stress were not significant. In the model of social support provided by parents, social support provided (β = 0.35; p < 0.001), and adjustment of parents (β = −0.31; p < 0.01) impacted life satisfaction, explaining 36% of the variance. Social support provided (β = −0.34; p < 0.01) impacted adjustment of parents and it explained 12% of the variance. Adjustment of parents (β = 0.28; p < 0.05) also impacted parents’ perception of stress, explaining 14% of the variance. However, the relation between social support provided (β = −0.17; p = 0.06) and stress, and the relation between stress (β = −0.13; p = 0.08) and life satisfaction, were not significant. Social support received showed a strong connection with stress and parents’ adjustment. Additionally, social support received showed a decrease in stress and parents’ adjustment. Social support provided by parents and the adjustments they experience are linked to their life satisfaction. Additionally, social support provided showed a decrease in adjustment and an increase in parents’ life satisfaction. The models can be used to improve parents’ situations and it has strong practical implications.
Conductivity behavior in polycrystalline semiconductor thin film transistors

CdSe thin film transistor (TFT) structures which have been ion implanted with 50 keV 52Cr, 50 keV 27Al, or 15 keV 11B have a very steeply rising conductivity above some threshold dose and exhibit modulated transistor characteristics over certain ranges of implant dose, even though there is no thermal annealing during or after ion implantation. These results are interpreted using a model based on grain boundary trapping theory. The dependence of leakage current on implant dose, and of drain current (at a fixed dose) on gate voltage are described very well by this model, when the drain voltage is very small. Using this simple model, the important parameters of the polycrystalline CdSe film, namely the trap density per unit area in the grain boundary, the donor density, grain size, and electron mobility can be deduced. The effect of thermal annealing on implanted and unimplanted CdSe TFT’s has also been studied and the model appears to give a general description of the conductivity behavior in polycrystallin.
Characteristics of Near-Surface Winds and Thermal Profiles on the Windward Slopes of the Island of Hawaii

Abstract The near-surface winds and thermal profiles on the windward side of the island of Hawaii are studied using the dataset from the Hawaiian Rainband Project (HaRP), with special attention to the early morning and late afternoon transition periods that separate the daytime upslope and nighttime downslope flow regimes. The effects of rain showers on the development of daytime upslope and nighttime downslope flow are also discussed. Before sunrise (∼0600 HST), the temperature profiles are usually characterized by a nocturnal inversion about 50–150 m above the ground, with a strength of 1–4 K. The stable downslope flow layer usually extends above the nocturnal inversion with a nocturnal jet beneath the inversion. For rain cases, the nocturnal inversion and the nocturnal jet are weaker with a deeper stable downslope flow than clear cases because of rain evaporation aloft, reduced infrared radiation heat loss at the lowest levels, and vertical mixing associated with precipitation. After sunrise the noctur.
Joint Dynamic Dispatching and Preventive Maintenance for Unrelated Parallel Machines With Equipment Health Considerations

A decomposed dynamic dispatching and preventive maintenance (D-DDPM) framework is presented to overcome the computational challenges of solving large DDPM problems. Stochastic deterioration of machine health is explicitly considered. By efficient allocation of individual machine’s capacity under different machine health, the D-DDPM framework decomposes the global DDPM problems into single-machine DDPM problems while ensuring throughput optimality. Intelligent machine agents are then designed to solve the single-machine DDPM problems efficiently and to perform real-time decisions for individual machines. After the decomposition, the overall computational complexity grows only linearly with the number of machines and the proposed framework could be adopted in large systems. In the numerical study, the D-DDPM framework is near-optimal in small systems that have optimal DDPM solutions. In which, the computation time is reduced by 90.72% and the average cycle time is within 6% of optimal. For large systems without optimal DDPM solutions, numerical results show that the D-DDPM maintains throughput optimality and reduces average cycle time by up to 90% against other control policies.
Modelling the laser fusion cutting process: I. Mathematical modelling of the cut kerf geometry for laser fusion cutting of thick metal

A model for calculating the three-dimensional stationary geometric shape of the cutting front for laser fusion cutting is presented in this paper. The model relates the cut kerf geometry with the cut-through depth, various laser parameters such as power, speed, focus position and material thickness. In this model, the energy absorbed by the workpiece includes not only the direct energy from the laser beam but also the energy from the multiple reflections generated by the beam impinging on the cutting front of the cut kerf. The effects of multiple reflections are functions of the inclined angle of the cutting front and the cutting depth. The effects of various laser processing parameters, multiple reflections and inert gas pressure on the geometric shape of the cutting front have been analysed systematically and in detail. The model allows accurate prediction of the cut-through depth and cut-edge quality for a given set of process parameters. It also helps to explain the effect of focal position, cut-assist pressure and other parameters upon the cut-edge quality.
Fabrication of Multi-Material Pneumatic Actuators and Microactuators Using Stereolithography

Pneumatic actuators are of great interest for device miniaturization, microactuators, soft robots, biomedical engineering, and complex control systems. Recently, multi-material actuators have become of high interest to researchers due to their comprehensive range of suitable applications. Three-dimensional (3D) printing of multi-material pneumatic actuators would be the ideal way to fabricate customized actuators, but so far, this is mostly limited to deposition-based methodologies, such as fused deposition modeling (FDM) or Polyjetting. Vat-based stereolithography is one of the most relevant high-resolution 3D printing methods but is only rarely utilized in the multi-material 3D printing of materials. This study demonstrated multi-material stereolithography using combinations of materials with different Young’s moduli, i.e., 0.5 MPa and 1.1 GPa, for manufacturing pneumatic actuators and microactuators with a resolution as small as 200 μm. These multi-material actuators have advantages over single-material actuators in terms of their deformation controllability and ease of assembly.
A solar dynamo surface wave at the interface between convection and nonuniform rotation

A simple dynamo surface wave is presented to illustrate the basic principles of a dynamo operating in the thin layer of shear and suppressed eddy diffusion beneath the cyclonic convection in the convection zone of the sun. It is shown that the restriction of the shear delta(Omega)/delta(r) to a region below the convective zone provides the basic mode with a greatly reduced turbulent diffusion coefficient in the region of strong azimuthal field. The dynamo takes on the character of a surface wave tied to the lower surface z = 0 of the convective zone. There is a substantial body of evidence suggesting a fibril state for the principal flux bundles beneath the surface of the sun, with fundamental implications for the solar dynamo.
Ab initio calculations of rare-earth diffusion in magnesium

We have used density-functional theory to calculate activation energies for diffusion of Al, Ca, and several rare-earth (RE) elements in Mg. The predicted solute-vacancy binding and exchange energies increase and decrease, respectively, with increasing solute size. Using the eight-frequency model for hcp lattices we determined correlation factors for each solute. Both Ca and all RE elements exhibit significant correlation effects whose temperature dependence can be described by an Arrhenius behavior. The correlation effects increase the activation energy, which for these solutes still remains below that for self-diffusion.