Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Association Rules in Telecommunication Network Fraud Cases

As a new form of fraud, telecom network fraud is characterized by remoteness and contactless. After collecting reports of telecom network fraud cases through the Internet and simulating the case datasets based on the report findings, this paper selects the datasets related to characteristics of the suspects for pre-processing and transformation, applies the association rule algorithm to telecom network fraud cases, and uses Apriori algorithm and FP-Growth algorithm to mine the valuable information of the characteristics of the suspects involved in telecom network fraud cases. By doing so, this paper discovers the association relationship between the characteristics of the suspects, and proposes relevant prevention suggestions on this basis to help combat telecom network fraud crimes. CCS concept •Computing methodologies∼Machine learning∼Machine learning approaches∼Rule learning
Brown adipose tissue as an endocrine organ: updates on the emerging role of batokines

Abstract Brown adipose tissue (BAT) remains active in adults, oxidizing fatty acids or glucose and releasing energy in the form of heat. Brown adipocytes and enhanced thermogenesis are targets for treating obesity and its comorbidities. BAT shows high synthesis activity and secretes several signaling molecules. The brown adipokines, or batokines, take action in an autocrine, paracrine, and endocrine manner. Batokines have a role in the homeostasis of the cardiovascular system, central nervous system, white adipose tissue, liver, and skeletal muscle and exert beneficial effects on BAT. The systemic function of batokines gives BAT an endocrine organ profile. Besides, the batokines Fibroblast Growth Factor-21, Vascular Endothelial Growth Factor A, Bone Morphogenetic Protein 8, Neuregulin 4, Myostatin, and Interleukin-6 emerge as targets to treat obesity and its comorbidities, deserving attention. This review outlines the role of six emerging batokines on BAT and their cross-talk with other organs, focusing on their physiological significance and diet-induced changes. Highlights – Brown adipose tissue is a therapeutic target to combat obesity and its comorbidities by modulating the batokines profile and activating thermogenic activity. – FGF21 is released by BAT during thermogenesis and exerts beneficial effects on the cardiovascular system. – VEGF-A is the batokine that regulates BAT by autocrine mechanisms and promotes the maintenance of angiogenesis and thermogenesis. – BMP8 is expressed during thermogenesis and promotes the regulation of energy metabolism between the hypothalamus and the BAT. – NRG-4 is a batokine that belongs to the epidermal growth factor family members and exerts beneficial effects on the liver and insulin resistance. – Myostatin is a batokine harmful to skeletal muscle, and BAT activation is a significant target to avoid myostatin’s deleterious effects on muscle bioenergetics. – IL-6 improves glucose metabolism in adipocytes and the liver and acts in the maintenance of thermogenesis. – Batokines represent promising therapeutic targets for treating obesity and its comorbidities.
New approach to canonical partition functions computation in $N_f=2$ lattice QCD at finite baryon density

We propose and test a new approach to computation of canonical partition functions in lattice QCD at finite density. We suggest a few steps procedure. We first compute numerically the quark number density for imaginary chemical potential $i\mu_{qI}$. Then we restore the grand canonical partition function for imaginary chemical potential using fitting procedure for the quark number density. Finally we compute the canonical partition functions using high precision numerical Fourier transformation. Additionally we compute the canonical partition functions using known method of the hopping parameter expansion and compare results obtained by two methods in the deconfining as well as in the confining phases. The agreement between two methods indicates the validity of the new method. Our numerical results are obtained in two flavor lattice QCD with clover improved Wilson fermions.
Knowledge Discovery through Mobility Data Integration

In the era of Big Data a huge amount of information are available from every single citizen of our hyper-connected world. A simple smartphone can collect data with different kinds of information: a big part of these are related to mobility. A smartphone is connected to networks, such as GSM, GPS, Internet (and then social networks): each of them can provide us information about where, how and why the user is moving across space and time. Data integration has a key role in this understanding process: the combination of different data sources increases the value of the extracted knowledge, even though such integration task is often not trivial. This thesis aim to represent a step toward a reliable Mobility Analysis framework, capable to exploit the richness of the spatio-temporal data nowadays available. The work done is an exploration of meaningful open challenges, from an efficient Map Matching of low sampling GPS data to Inferring Human Activities from GPS tracks. A further experimentation has been performed over GSM and Twitter data, in order to detect and recognize significant events in terms of people presence and related tweets. Another promising perspective is the use of such extracted knowledge to enrich actual geospatial Datasets with a ’Wisdom of the crowd’ dimension to derive, for instance, routing policies over road networks: most chosen paths among usual drivers are more meaningful than simple shortest paths.
Research on Safety Risks and Safety Protection of UAV System

With the advent of the Internet of Things era, China's various industries have undergone earth-shaking changes, especially the drone information industry, which has been rapidly developed under the impetus of the Internet of Things era, However, with the continuous development of network technology, the network structure has become more and more complex, and the types of network attacks have varied, Unmanned aerial vehicle systems have appeared security risks in the application of network platform information, These hidden dangers have caused the progress and development of the drone information industry with great negative impact, In this regard, this article will conduct research on the content of UAV system security risks and security protection, which can provide a basis for the effective assessment of UAV system network security risks, and provide references for UAV system security and data security hidden danger solutions and thereby reducing the security risks and losses of the drone information industry.
Research of structural health intelligent monitoring technology based on PZT and electromechanical impedance method

Structural health monitoring technology is a research hotspot at home and abroad, and smart materials are increasingly used in structural health monitoring. Piezoelectric material is a kind of smart material. Piezoelectric materials have piezoelectric effect, it can be made into basic components, together with the structure itself and other equipment, to form a structural health monitoring system. This paper expounds the principle and classification of structural health monitoring technology based on piezoelectric ceramics. On this basis, it introduces the research progress of relevant theories and experiments of scholars at home and abroad. Finally, the existing problems and future research directions of smart materials and structural health monitoring technology are summarized and discussed under the background of increasing social demands.
N=1* vacua, Fuzzy Spheres and Integrable Systems

We calculate the exact eigenvalues of the adjoint scalar fields in the massive vacua of = 1* SUSY Yang-Mills with gauge group SU(N). This provides a field theory prediction for the distribution of D3-brane charge in the AdS-dual. We verify the proposal of Polchinski and Strassler that the D3-brane's lie on a fuzzy sphere in the supergravity limit and determine the corrections to this distribution due to world-sheet and quantum effects. The calculation utilizes the connection between SUSY gauge theories and classical integrable systems. The analysis also provides several new results concerning the equilibrium configurations of the N-body Calogero-Moser hamiltonian.
CitcomSVE: A Three‐Dimensional Finite Element Software Package for Modeling Planetary Mantle’s Viscoelastic Deformation in Response to Surface and Tidal Loads

This article presents a comprehensive benchmark study for the newly updated and publicly available finite element code CitcomSVE for modeling dynamic deformation of a viscoelastic and incompressible planetary mantle in response to surface and tidal loading. A complete description of CitcomSVE’s finite element formulation including calculations of the sea‐level change, polar wander, apparent center of mass motion, and removal of mantle net rotation is presented. The 3‐D displacements and displacement rates and the gravitational potential anomalies are solved with CitcomSVE for three benchmark problems using different spatial and temporal resolutions: (a) surface loading of single harmonics, (b) degree‐2 tidal loading, and (c) the ICE‐6G GIA model. The solutions are compared with semi‐analytical solutions for error analyses. The benchmark calculations demonstrate the accuracy and efficiency of CitcomSVE. For example, for a typical ICE‐6G GIA calculation with a 122‐ky glaciation‐deglaciation history, time increment of 100 years, and ∼50 km (or ∼0.5°) surface horizontal resolution, it takes ∼4.5 hr on 96 CPU cores to complete with about 1% and 5% errors for displacements and displacement rates, respectively. Error analyses shows that CitcomSVE achieves a second order accuracy, but the errors are insensitive to temporal resolution. CitcomSVE achieves the parallel computational efficiency >75% for using up to 6,144 CPU cores on a parallel supercomputer. With its accuracy, computational efficiency and its open‐source public availability, CitcomSVE provides a powerful tool for modeling viscoelastic deformation of a planetary mantle with 3‐D mantle viscous and elastic structures in response to surface and tidal loading problems.
Composition-oriented Web Service Discovery

Web services are emerging as a promising technology for the development of next generation distributed heterogeneous software systems. Some prominent challenges for Web services are the discovery of services which match some given requirements, the composition of services into new complex applications, and the safe replacement of (sub)services. The primary objective of this thesis is to define a suitable technique for a semanticsand behaviour-aware service discovery, capable of satisfying complex client requests which specify the ontology-annotated inputs and outputs, and (possibly) the expected behaviour of the service to be found. We tackle the discovery, composition and replacement of services advertised by OWL-S descriptions, which provide a list of semantically annotated functional attributes of services, and a declaration of the interaction behaviour of services. First, we present a functional analysis that automatically generates (from a registry of OWL-S services) sets of services satisfying the functional requirements (viz., inputs and outputs) of client requests. Next, we describe a behavioural analysis that generates a (non-locking) composite service by suitably composing (the control-flow and the data-flow of) the services in a given set. The behavioural analysis checks whether the composite service satisfies the behavioural requirements of the query (viz., the expected service behaviour). To this end, a suitable notion of behavioural congruence for Web services is introduced. In order to show the applicability in practice of such a discovery technique, we also present a proof-of-concept implementation of the functional and the behavioural analyses, and we discuss possible approaches to the issues of scalability and service heterogeneity.
The Calcium Loading Test in Primary Hyperparathyroidism – Does it Provide Useful Information?

Abstract Objective: to describe the results from intravenous calcium loads in patients with suspected PHPT. Methods: This was a retrospective cross-sectional study with inpatients’ data review. Baseline serum calcium, phosphates, magnesium, creatinine, alkaline phosphatase, beta-crosslinks were recorded. The calcium loading had been performed after an overnight fasting. Calcium gluconate 0.25 mmol/kg body weight (10 mg/kg) dissolved in 0.9% Sodium Chloride was infused intravenously for 3 hours. Blood samples for total serum calcium, phosphates and iPTH were drawn before and up to 60 minutes after the calcium load. The intact parathyroid hormone (iPTH) and 25(OH)-vitamin D were determined by electro-hemi-luminescence (Elecsys, Roche Diagnostics). The PTH inhibition rate in % (PTH-IR), the calcium increment, the ratio R (ΔPTH/ΔCalcium) and the product P (calcium X PTH at test end) were calculated. Results: 23 patients with PHPT had complete data from calcium loading tests. The PTH suppression was < 30% in 17.4% of the participants, 30% to 50% – in 21.7% and > 50% in the remaining 60.9%. One patient displayed PTH suppression > 75%. The Ratio R was < 4.0 in all but one patient. Product P was above 1100 mg/dl x pg/ml in 9 participants (39.1%). Sixteen patients (69.6%) had positive localization results from US or SPECT-CT. The level of PTH suppression was not related to any parameter except the volume of the suspected lesion. Conclusion: The calcium loading test was unable to differentiate the forms of PHPT. It did not add great value in the diagnostic work-up of PHPT.
A Review of Event-Based Indoor Positioning and Navigation

Event cameras are neuromorphic vision sensors that work differently from frame-based cameras. Instead of outputting global images of the scene at fixed frequency, event cameras generate pixel-wise output asynchronously under illumination changes. Event cameras have desirable features that make them suitable for indoor navigation and positioning: high dynamic range, high temporal resolution (consequently less motion blur) and low power consumption. However, as conventional algorithms are no longer valid for event cameras, they call for new methods to exploit their potential. This paper thus surveys sensors and algorithms for event-based navigation and positioning. We investigate event cameras (also known as Dynamic Vision Sensors) including their working principle, the trend of development and an overview of recently available sensors. We also summarize event-based algorithms that have maximized the superiority of event sensors in terms of ego-motion estimation, tracking and depth estimation. In the end, we discuss the advantages, challenges, hardware requirements and future of event cameras application in indoor navigation and positioning.
Surgical Treatment of Infective Endocarditis, Complicated with Splenic Abscesses

Abstract Infectious endocarditis (IE) represents an inflammation of the heart endothelium usually as a result of bacterial colonization after trauma. Splenic abscess is a rare and dangerous extracardiac manifestation of IE. An expert multidisciplinary collaboration is necessary for the diagnosis and treatment strategy of this high-risk and challenging disease. Valvuloplasty and splenectomy are the mainstay of radical treatment and offer excellent long-term results. We present two cases with infectious endocarditis, complicated with splenic abscesses, which were successfully operated in the Department of Cardiac Surgery.
Identification of a novel necroptosis-associated miRNA signature for predicting the prognosis in head and neck squamous cell carcinoma

Abstract Head and neck squamous cell carcinoma (HNSCC) is one of the most aggressive malignancies that have a poor prognosis. Necroptosis has been demonstrated in recent years to be a form of inflammatory cell death occurring in multicellular organism, which plays complex roles in cancer. However, the expression of necroptosis-related miRNAs and genes in HNSCC and their correlations with prognosis remain unclear. In this study, R software was used to screen differentially expressed miRNAs downloaded from The Cancer Genome Atlas. A prognostic model containing six necroptosis-related miRNAs (miR-141-3p, miR-148a-3p, miR-331-3p, miR-543, miR-425-5p, and miR-7-5p) was generated, whose risk score was validated as an independent prognostic factor for HNSCC. Target genes of the key miRNAs were obtained from TargetScan, miRDB, and miRTarBase, and 193 genes in the intersection of the three databases were defined as consensus genes. Kyoto Encyclopedia of Genes and Genomes and Gene Ontology analyses indicated that the composition of the tumor microenvironment as well as specific pathways may be closely related to necroptosis in HNSCC. Nine key genes were also obtained by the MCODE and cytoHubba plug-ins of Cytoscape: PIK3CD, NRAS, PTK2, IRS2, IRS1, PARP1, KLF4, SMAD2, and DNMT1. A prognostic model formed by the key gene was also established, which can efficiently predict the overall survival of HNSCC patients. In conclusion, necroptosis-related miRNAs and genes play important roles in tumor development and metastasis and can be used to predict the prognosis of HNSCC.
Scherk-Schwarz orbifolds at the LHC

We examine orbifold theories of grand unification with Scherk-Schwarz twisting, performing a renormalization group analysis and applying low energy experimental constraints. We rule out the minimal SU(5) models, and consider simple extensions including additional fields, such as an additional scalar field, or additional symmetries, such as SU(5)×U(1) or E6. We find that it is very difficult to generate a large enough Higgs mass while simultaneously passing LHC experimental search constraints.
Planning for millions of NPCs in Real-Time

We address the problem of scaling the generation of plans in real-time to control the behaviors of several millions of Non-Player Characters (NPCs) in video-games and virtual worlds. Search-based action planning, introduced in the game F.E. A.R. in 2005, has an exponential time complexity managing at most several tens of NPCs per frame. A close study of the plans generated in first-person shooters shows that: (1) states are vectors of enumerated values, (2) both initial and final states can be totally defined, (3) actions are both post-unique and unary, (4) plans are totally ordered, and (5) actions occur only once in plans. (1) to (5) satisfy the Simplified Action Structure (SAS) linear time planning framework SAS-$\mathbb{T}_{1}$. We strengthen previous claims on this framework saying that the associated linear time algorithm $\mathbb{P}$ is capable of managing several millions of NPCs per frame by testing it on three new realistic benchmarks that are based on commercial video games.
Natural history and ecological effects on the establishment and fate of Florida carpenter ant cadavers infected by the parasitic manipulator Ophiocordyceps camponoti-floridani

Ophiocordyceps fungi manipulate the behavior of their ant hosts to produce a summit disease phenotype, thereby establishing infected ant cadavers onto vegetation at elevated positions suitable for fungal growth and transmission. Multiple environmental and ecological factors have been proposed to shape the timing, positioning, and outcome of these manipulations. We conducted a long-term field study of Ophiocordyceps camponoti-floridani infections of Camponotus floridanus ants – the Florida zombie ants. We propose and refine hypotheses on the factors that shape infection outcomes by tracking the occurrence of and fungal growth from hundreds of ant cadavers. We modeled and report these data in relation to weather, light, vegetation, and attack by hyperparasites. We investigated environmental factors that could affect the occurrence and location of newly manipulated ant cadavers. New cadaver occurrence was preferentially biased toward epiphytic Tillandsia bromeliads, canopy openness, and summer weather conditions (an interactive effect of temperature, humidity, and precipitation). Furthermore, we suggest that incident light at the individual cadaver level reflects microhabitat choice by manipulated ants or selective pressure on cadaver maintenance for conditions that improve fungal survival. We also asked which environmental conditions affect fungal fitness. Continued fungal development of reproductive structures and putative transmission increased with moist weather conditions (interaction of humidity and precipitation) and canopy openness, while being reduced by hyperparasitic mycoparasite infections. Moreover, under the most open canopy conditions, we found an atypical Ophiocordyceps growth morphology that could represent a plastic response to conditions influenced by high light levels. Taken together, we explore general trends and the effects of various ecological conditions on host and parasite disease outcomes in the Florida zombie ant system. These insights from the field can be used to inform experimental laboratory setups that directly test the effects of biotic and abiotic factors on fungus-ant interactions or aim to uncover underlying molecular mechanisms.
The GPI-anchored Ly6 protein Belly roll regulates Drosophila melanogaster escape behaviors by modulating the excitability of nociceptive peptidergic interneurons

Appropriate modulation of escape behaviors in response to potentially damaging stimuli is essential for survival. Although nociceptive circuitry has been studied, it is poorly understood how genetic contexts affect the relevant escape responses. Using an unbiased genome-wide association analysis, we identified a Ly6/α-neurotoxin family protein, Belly roll (Bero), which negatively regulates Drosophila nociceptive escape behavior. We show that Bero is expressed in abdominal leucokinin-producing neurons (ABLK neurons) and bero knockdown in ABLK neurons resulted in enhanced escape behavior. Furthermore, we demonstrated that ABLK neurons responded to the activation of nociceptors and initiated the behavior. Notably, bero knockdown reduced the persistent neuronal activity and increased the evoked nociceptive responses in ABLK neurons. Our findings reveal that Bero modulates an escape response by regulating distinct neuronal activities in ABLK neurons.
Reprogramming M2-polarized patient-derived glioblastoma associated microglia/macrophages via CSF1R inhibition

Targeting immunosuppressive and protumorigenic glioblastoma-associated macrophages and microglial cells (GAMs) holds great potential to improve patient outcomes. Although CSF1R has emerged as a promising target to reprogram anti-inflammatory M2-like GAMs, relevant treatment data on human, tumor-educated GAMs and innovative patient-derived 3D tumor organoid models to study the influence on adaptive immunity and the effectiveness of treatment in a complex and entirely autologous setting are largely lacking. We performed a comprehensive phenotypical, transcriptional and functional analysis of primary, patient-derived GAMs upon treatment with the CSF1R-targeting drugs PLX3397, BLZ945, and GW2580. The most effective reprogramming of GAMs was observed upon GW2580 treatment, which led to a downregulation of M2-related markers and signaling pathways, while M1-like markers, phagocytosis, and T-cell killing were substantially increased. Moreover, treatment of patient-derived glioblastoma organoids with GW2580 confirmed successful reprogramming together with reduced tumor cell proliferation, indicating that treatment with GW2580 could be an important pillar in the future therapy of GBM.