Miracle-dz/UniFAR-FTUs huggingface dataset:
Multistage and Elastic Spam Detection in Mobile Social Networks through Deep Learning

While mobile social networks (MSNs) enrich people's lives, they also bring many security issues. Many attackers spread malicious URLs through MSNs, which causes serious threats to users' privacy and security. In order to provide users with a secure social environment, many researchers make great efforts. The majority of existing work is aimed at deploying a detection system on the server and classifying messages or users in MSNs through graph-based algorithms, machine learning or other methods. However, as a kind of instant messaging service, MSNs continually generate a large amount of user data. Without affecting the user experience, with existing detection mechanisms it is difficult to implement real-time detection in practical applications. In order to realize real-time message detection in MSNs, we can build more powerful server clusters or improve the utilization rate of computing resources. Assuming that computing resources of servers are limited, we use edge computing to improve the utilization rate of computing resources. In this article, we propose a multistage and elastic detection framework based on deep learning, which sets up a detection system at the mobile terminal and the server, respectively. Messages are first detected on the mobile terminal, and then the detection results are forwarded to the server along with the messages. We also design a detection queue, according to which the server can detect messages elastically when computing resources are limited, and more computing resources can be used for detecting more suspicious messages. We evaluate our detection framework on a Sina Weibo dataset. The results of the experiment show that our detection framework can improve the utilization rate of computing resources and can realize real-time detection with a high detection rate at a low false positive rate.
The efficacy of the pocket-creation method for cases with severe fibrosis in colorectal endoscopic submucosal dissection

Abstract Background and study aims Severe fibrosis poses a challenge in colorectal endoscopic submucosal dissection (ESD). Recently, the pocket-creation method (PCM) has been developed for overcoming various difficulties of ESD. A specific tapered hood is used for adequate traction in the PCM, and endoscopic operability becomes stable in the pocket. In this study, we investigated the efficacy of the PCM in ESD for cases with severe fibrosis. Patients and methods We retrospectively reviewed 1000 consecutive colorectal ESD cases (April 2006 to January 2017). Since 2016, the PCM was performed in 58 cases. The indications for ESD included (1) tumors ≥ 20 mm in size diagnosed as intramucosal cancer or high-grade dysplasia and part of T1a cancer using magnifying endoscopic examinations and (2) tumors that appeared impossible to resect with endoscopic mucosal resection because of suspected fibrosis. We identified 120 cases with severe fibrosis and compared them to cases without severe fibrosis. Additionally, the 120 severe fibrosis cases were divided into the PCM and non-PCM groups. En bloc resection, procedure time, discontinuation, and complications were analyzed between these 2 groups. Results Among all 1000 ESDs, severe fibrosis and discontinuation rates were 12.0 % (120 cases) and 1.8 % (18 cases), respectively. Regarding the comparison between cases with severe fibrosis and with no severe fibrosis, there were significant differences about en bloc resection rate (78.3 % vs. 95.7 %, P < 0.001), discontinuance rate (12.5 % vs. 0.3 %, P < 0.001), and perforation rate (8.3 % vs. 2.6 %, P = 0.001). Among the 120 cases with severe fibrosis, 21 and 99 cases were in the PCM and non-PCM groups, respectively. The PCM group had a higher en bloc resection rate (95.2 vs. 74.7, P = 0.03), a shorter mean procedure time (min) (79.6 ± 26.5 vs. 118.8 ± 71.0, P = 0.001), and no cases of discontinuation. An analysis of the interobserver agreement for the diagnosis of severe fibrosis among the 3 endoscopists showed kappa values of > 0.6. Conclusions In cases with severe fibrosis, the PCM with ESD improved en bloc resection rates and shortened the procedure time compared to the conventional non-PCM method. Additionally, the PCM reduced the discontinuation rate.
AMDO: An Over-Sampling Technique for Multi-Class Imbalanced Problems

Multi-class imbalanced problems have attracted growing attention from the real-world classification tasks in engineering. The underlying skewed distribution of multiple classes poses difficulties for learning algorithms, which becomes more challenging when considering overlapping between classes, lack of representative data, and mixed-type data. In this work, we address this problem in a data-oriented way. Motivated by a recently proposed over-sampling technique designed for numeric data sets, Mahalanobis Distance-based Over-sampling (MDO), we use this technique to capture the covariance structure of the minority class and to generate synthetic samples along the probability contours for learning algorithms. Based on MDO, we further improve the over-sampling strategy and generalize it for mixed-type data sets. The established technique, Adaptive Mahalanobis Distance-based Over-sampling (AMDO), introduces GSVD (Generalized Singular Value Decomposition) for mixed-type data, develops a partially balanced resampling scheme and optimizes the sample synthesis. Theoretical analysis is conducted to demonstrate the reasonability of AMDO. Extensive experimental testing is performed on 15 multi-class imbalanced benchmarks and two data sets for precipitation phase recognition in comparison with several state-of-the-art multi-class imbalanced learning methods. The results validate the effectiveness and robustness of our proposal.
Predefined-Time Convergence Control for High-Order Integrator Systems Using Time Base Generators

In this brief, we propose a control method for high-order integrator systems that achieves predefined-time convergence, i.e., the system is driven to the origin in a desired settling time that can be set as an explicit parameter of the controller and it is achieved independently of the initial conditions. Our method can be applied to any single-input single-output (SISO) controllable linear system, to any SISO nonlinear system that can be transformed to the normal form with stable zero dynamics and to multiple-input multiple-output systems that can be decoupled into SISO subsystems in the previously mentioned forms. The proposed approach is based on the so-called time base generators (TBGs), which are time-dependent functions used to build time-varying control laws. The contribution of this brief is the generalization of the TBGs to develop predefined-time controllers for high-order systems, providing procedures to build the required time-dependent functions. The performance of the proposed controllers is evaluated and compared with finite-time and fixed-time controllers in simulations and experiments. We show the applicability of the proposed approach to control electromechanical systems, in particular for the dynamic control of robotic systems.
Screening and Brief Advice to Reduce Adolescents' Risk of Riding With Substance-Using Drivers.

OBJECTIVE Alcohol- and drug-related car crashes are a leading cause of death for adolescents in the United States. This analysis tested the effects of a computer-facilitated Screening and Brief Advice (cSBA) system for primary care on adolescents' reports of driving after drinking or drug use (driving) and riding with substance-using drivers (riding). METHOD Twelve- to 18-year-old patients (N = 2,096) at nine New England pediatric offices completed assessments only during the initial 18-month treatment-as-usual (TAU) phase. Subsequently, the 18-month cSBA intervention phase began with a 1-hour provider training and implementation of the cSBA system at all sites. cSBA included a notebook-computer with self-administered screener, immediate scoring and feedback, and 10 pages of scientific information and true-life stories illustrating substance-related harms. Providers received screening results, "talking points" for 2 to 3 minutes of counseling, and a Contract for Life handout. Logistic regression with generalized estimating equations generated adjusted relative risk ratios (aRRR) for past-90-day driving and riding risk at 3- and 12-month follow-ups, controlling for significant covariates. RESULTS We found no significant effects on driving outcomes. At 3 months, cSBA youth were less likely than TAU to report riding with a drinking driver (aRRR = 0.70, 95% CI [0.49, 1.00]), and less likely to report riding with a driver who had used cannabis or other drugs (aRRR = 0.46, 95% CI [0.29, 0.74]). The effect was even greater (aRRR = 0.34, 95% CI [0.16, 0.71]) for riding with drinking drivers who were adult family members. All effects dissipated by 12-month follow-up. CONCLUSIONS Screening and pediatrician brief advice shows promise for reducing adolescents' risk of riding with substance-using drivers.
Brain Stroke Microwave Imaging by Means of a Newton-Conjugate-Gradient Method in  $L^{p}$  Banach Spaces

A conjugate-gradient-based regularization technique in $L^{p}$ Banach spaces, in conjunction with an inexact-Newton solving scheme, is presented in this paper. The proposed method is applied to obtain the reconstruction of the dielectric properties of human tissues in hemorrhagic brain stroke microwave imaging. The dielectric reconstruction is obtained by solving a nonlinear inverse problem, starting from a set of scattered-field measurements. The presented numerical simulations with 2-D and 3-D anatomically realistic phantoms, as well as the preliminary experimental results, show that this method can be useful for retrieving the dielectric properties of the human head with a reduced over-smoothing effect in the final images.
Cellular senescence: Molecular mechanisms and pathogenicity

Cellular senescence is the arrest of normal cell division. Oncogenic genes and oxidative stress, which cause genomic DNA damage and generation of reactive oxygen species, lead to cellular senescence. The senescence‐associated secretory phenotype is a distinct feature of senescence. Senescence is normally involved in the embryonic development. Senescent cells can communicate with immune cells to invoke an immune response. Senescence emerges during the aging process in several tissues and organs. In fact, increasing evidence shows that cellular senescence is implicated in aging‐related diseases, such as nonalcoholic fatty liver disease, obesity and diabetes, pulmonary hypertension, and tumorigenesis. Cellular senescence can also be induced by microbial infection. During cellular senescence, several signaling pathways, including those of p53, nuclear factor‐κB (NF‐κB), mammalian target of rapamycin, and transforming growth factor‐beta, play important roles. Accumulation of senescent cells can trigger chronic inflammation, which may contribute to the pathological changes in the elderly. Given the variety of deleterious effects caused by cellular senescence in humans, strategies have been proposed to control senescence. In this review, we will focus on recent studies to provide a brief introduction to cellular senescence, including associated signaling pathways and pathology.
Stability of Experimental and Survey Measures of Risk, Time, and Social Preferences: A Review and Some New Results

Underlying preferences are often considered to be persistent, and are important inputs into economic models. We first conduct an extensive review of the disparate literature studying the stability of preferences measured in experiments. Then, we test the stability of individuals' choices in panel data from rural Paraguay over almost a decade. Answers to social preference survey questions are quite stable. Experimental measures of risk, time, and social preferences do not exhibit much stability. Correlations between experimental measures of risk aversion are a more precisely estimated zero, whereas correlations for time and social preferences are larger and noisier. We also find no systematic evidence that real world shocks influence play in games. We suggest that in a developing country context researchers should explore designing simpler experiments and including survey questions in addition to experiments to measure preferences.
Teacher Guided Architecture Search

Much of the recent improvement in neural networks for computer vision has resulted from discovery of new networks architectures. Most prior work has used the performance of candidate models following limited training to automatically guide the search in a feasible way. Could further gains in computational efficiency be achieved by guiding the search via measurements of a high performing network with unknown detailed architecture (e.g. the primate visual system)? As one step toward this goal, we use representational similarity analysis to evaluate the similarity of internal activations of candidate networks with those of a (fixed, high performing) teacher network. We show that adopting this evaluation metric could produce up to an order of magnitude in search efficiency over performance-guided methods. Our approach finds a convolutional cell structure with similar performance as was previously found using other methods but at a total computational cost that is two orders of magnitude lower than Neural Architecture Search (NAS) and more than four times lower than progressive neural architecture search (PNAS). We further show that measurements from only ∼300 neurons from primate visual system provides enough signal to find a network with an Imagenet top-1 error that is significantly lower than that achieved by performance-guided architecture search alone. These results suggest that representational matching can be used to accelerate network architecture search in cases where one has access to some or all of the internal representations of a teacher network of interest, such as the brain’s sensory processing networks.
Functional connectivity in the social brain across childhood and adolescence

Abstract Previous research has characterized a collection of neural regions which support social‐cognitive processes. While this ‘social brain' is often described as a cohesive unit, it has been largely assessed with univariate methodologies, which cannot account for functional relationships ‘between' brain regions, and therefore cannot test the idea of the social brain as a network. In the present work, we utilized a multi‐method approach to empirically assess the functional architecture of the social brain. Fifty participants (ages 8‐16) completed a social evaluation task during an functional imaging scan. Results from three unique functional connectivity methodologies demonstrated that social brain regions show strong functional relationships, while also interfacing with non‐social regions, suggesting that future work should consider network relationships between social brain regions in addition to traditional univariate approaches. We probed, but did not find age‐related differences in social brain network organization, demonstrating that this functional architecture is in place by late childhood.
Occlusal traits, orthodontic treatment need and treatment complexity among untreated 17–21-year-olds in Estonia

Abstract Objective: To analyze data on occlusal traits, orthodontic treatment need and treatment complexity in orthodontically untreated 17–21-year-old Estonians. Materials and methods: Clinical records and plaster casts of 390 untreated young adults (219 females and 171 males, mean age 18.5 years, range 17–21 years) were analyzed. Assessed occlusal traits included first molar and canine sagittal relationship, overjet, overbite, crowding, midline diastema, crossbite and scissor bite. The Index of Complexity, Outcome and Need (ICON) was used to assess orthodontic treatment need and complexity. Participants’ opinions regarding their teeth were determined with a questionnaire. Results: The most prevalent occlusal traits were Class I sagittal relationship in canines (76%) and molars (70%), crowding (51%), overbite ≥3.5 mm (48%), the end-to-end sagittal relationship in canines (48%) and overjet ≥3.5 mm (47%). Antero-posterior asymmetry was common both in canines (39%) and molars (37%). According to ICON, 36% of participants had orthodontic treatment need. Conclusions: Desire for orthodontic treatment was associated with crowding and increased overjet, and with no gender difference, participants’ main expectation of treatment was an improvement in dentofacial aesthetics. Treatment needs determined with ICON was moderate and in line with the participants’ desire for orthodontic treatment.
Sleep questionnaires for the screening of obstructive sleep apnea in patients with type 2 diabetes mellitus compared with non‐diabetic patients

Several tools have been used to screen for obstructive sleep apnea (OSA). Evaluation of the predictive performance of different questionnaires is essential in patients with type 2 diabetes mellitus (T2DM) because the prevalence of OSA in this population is high. The aim of this study was to evaluate different sleep questionnaires to identify T2DM patients with OSA, and to compare the predictive values of these questionnaires with a matched sample of non‐diabetic patients.
First appearance deceives many: disentangling the Hemidactylus triedrus species complex using an integrated approach

The gekkonid lizard genus Hemidactylus Oken is the second most species-rich genus of geckos with greatest diversity in the tropical regions of the world. Some species of the genus are commensal and widespread; however, there are several endemic lineages with restricted distribution. India is home to at least 35 species, with 20 endemic species and the number is steadily increasing with exploration of new habitats and integrated taxonomic approach including molecular data. We made investigations into the molecular and morphological variation throughout the distribution of Hemidactylus triedrus Daudin, 1802 based on fresh specimens, literature review, museum material and molecular data. Results from morphological, molecular and micro-CT based anatomical data are unequivocal and show that H. triedrus is a species complex represented by three species, H. triedrus sensu stricto and two undescribed taxa. H. subtriedrus Jerdon, 1854 syn. nov. was found to be morphologically similar to the type specimen of H. triedrus, and genetically embedded in a clade containing H. triedrus sensu stricto and is here treated as a junior synonym of H. triedrus, whereas H. lankae Deraniyagala is referred to as nomen dubium given that the types are presently not traceable and the original description is inadequate in diagnosing the taxon. The populations from western-central India and parts of Pakistan, and from southern Karnataka are distinct and diagnosable, and are herein described as two new species, respectively. Morphological and molecular data support the distinctiveness of the new species. The present work resolves a taxonomic turmoil that lasted over two centuries highlighting the need for studies that integrate morphological and molecular data.
Barriers and facilitators to PrEP for transwomen in Brazil

ABSTRACT Pre-exposure prophylaxis (PrEP) is an important biomedical intervention that may help reduce the risk of HIV transmission among transwomen. To date, little research is available to inform interventions to increase uptake and adherence to PrEP among transwomen, especially in places outside the U.S. We conducted a qualitative study in 2015 with 34 adult transwomen in Rio de Janeiro, Brazil and assessed awareness, interest, barriers and facilitators to PrEP uptake and adherence for transwomen. Almost one third of participants had heard of PrEP, and most were interested and thought it would be beneficial for transwomen in their community. Barriers to PrEP included fear of being HIV positive resulting in low HIV testing and concerns about the ability to adhere to a daily PrEP regimen. The most prominent barrier to uptake was past experiences of transgender-identity related discrimination in the universal health care system that reduced willingness to seek PrEP or health care in general. Participants recommended technological solutions to PrEP health education information that could address uptake and adherence. This study informs efforts to increase PrEP use among transwomen in Brazil.
Chemical Mutagenesis and Fluorescence-Based High-Throughput Screening for Enhanced Accumulation of Carotenoids in a Model Marine Diatom Phaeodactylum tricornutum

Diatoms are a major group of unicellular algae that are rich in lipids and carotenoids. However, sustained research efforts are needed to improve the strain performance for high product yields towards commercialization. In this study, we generated a number of mutants of the model diatom Phaeodactylum tricornutum, a cosmopolitan species that has also been found in Nordic region, using the chemical mutagens ethyl methanesulfonate (EMS) and N-methyl-N′-nitro-N-nitrosoguanidine (NTG). We found that both chlorophyll a and neutral lipids had a significant correlation with carotenoid content and these correlations were better during exponential growth than in the stationary growth phase. Then, we studied P. tricornutum common metabolic pathways and analyzed correlated enzymatic reactions between fucoxanthin synthesis and pigmentation or lipid metabolism through a genome-scale metabolic model. The integration of the computational results with liquid chromatography-mass spectrometry data revealed key compounds underlying the correlative metabolic pathways. Approximately 1000 strains were screened using fluorescence-based high-throughput method and five mutants selected had 33% or higher total carotenoids than the wild type, in which four strains remained stable in the long term and the top mutant exhibited an increase of 69.3% in fucoxanthin content compared to the wild type. The platform described in this study may be applied to the screening of other high performing diatom strains for industrial applications.
Becoming Familiar With a Newly Encountered Face: Evidence of an Own-Race Advantage

Adults’ ability to match identity in images of unfamiliar faces is impaired for other- compared with own-race faces; their ability to match identity in images of familiar faces is independent of face race. Exposure to within-person variability in appearance plays a key role in face learning. Past research suggests that children need exposure to higher levels of variability than adults to learn a new face—a difference that has been attributed to experience. We predicted that adults’ limited experience with other-race faces would result in their needing exposure to higher levels of variability when learning other- compared with own-race faces. We introduced adults to four new identities (two own-race; two other-race) in one of the three conditions: a single image, a low-variability video (filmed on 1 day), or a high-variability video (filmed across 3 days). Adults’ ability to recognize new instances of learned identities improved in the low-variability condition for own-race faces but only in the high-variability condition for other-race faces. We discuss learning mechanisms that might drive this difference—a difference we attribute to experience.