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Sex Trafficking Detection with Ordinal Regression Neural Networks [article]

Longshaokan Wang, Eric Laber, Yeng Saanchi, Sherrie Caltagirone
2020 arXiv   pre-print
We propose an ordinal regression neural network to identify escort ads that are likely linked to sex trafficking.  ...  Our model uses a modified cost function to mitigate inconsistencies in predictions often associated with nonparametric ordinal regression and leverages recent advancements in deep learning to improve prediction  ...  Acknowledgments We thank Cara Jones and Marinus Analytics LLC for sharing the Trafficking-10K dataset. We thank Praveen Bodigutla for his suggestions on Natural Language Processing literature.  ... 
arXiv:1908.05434v2 fatcat:yhoeqfqfzjfqph4fw5icivgham

Relationships Among Circulating Levels of Hemostasis Inhibitors, Chemokines, Adhesion Molecules, and MRI Characteristics in Multiple Sclerosis

Nicole Ziliotto, Robert Zivadinov, Dejan Jakimovski, Marcello Baroni, Niels Bergsland, Deepa P. Ramasamy, Bianca Weinstock-Guttman, Murali Ramanathan, Giovanna Marchetti, Francesco Bernardi
2020 Frontiers in Neurology  
These associations were detectable in RR-MS but not in P-MS patients. Higher CCL18 levels were associated with higher T2-lesion volumes in all MS patients (p = 0.03) and in the P-MS (p = 0.003).  ...  Association of protein levels with MRI outcomes was performed by regression analysis. Correlations among protein levels were assessed by partial correlation and Pearson's correlation.  ...  The ordinal EDSS is shown as median (interquartile range).  ... 
doi:10.3389/fneur.2020.553616 pmid:33178104 pmcid:PMC7593335 fatcat:n55bhwgqmbdt7mrmm75c33hdk4

Variations in apolipoprotein D and sigma non-opioid intracellular receptor 1 genes with relation to risk, severity and outcome of ischemic stroke

Håkan Lövkvist, Ann-Cathrin Jönsson, Holger Luthman, Katarina Jood, Christina Jern, Tadeusz Wieloch, Arne Lindgren
2014 BMC Neurology  
Simple/multiple logistic regression and Spearman's rho were utilized for the analyses.  ...  : 0.54-0.92; P = 0.009) when controlling for age, sex and vascular risk factors for stroke.  ...  Finally, brain repair involves mechanisms differentially activated in time and space, and include inflammation, brain remodelling and relearning of activated neural networks [8, 9] .  ... 
doi:10.1186/s12883-014-0191-2 pmid:25261976 pmcid:PMC4186220 fatcat:vz5fjttnyfbofpcjku4gu7ofiu

Transcriptomic landscape, gene signatures and regulatory profile of aging in the human brain

Oscar González-Velasco, Dulce Papy-García, Gael Le Douaron, José M. Sánchez-Santos, Javier De Las Rivas
2020 Biochimica et Biophysica Acta. Gene Regulatory Mechanisms  
Finally, a deep-learning neural network algorithm was used to build a biological age predictor based on the aging signature.  ...  The study provides a signature of 1148 genes detected in cortex, 874 genes in hippocampus and 657 genes in cerebellum, that present significant differential expression changes with age according to a robust  ...  We also acknowledge the funding received from the European Commission EU Horizon 2020 FET OPEN RIA Programme (call H2020-FETOPEN-1-2016-2017) with grant number 737390: Project ArrestAD.  ... 
doi:10.1016/j.bbagrm.2020.194491 pmid:32006715 fatcat:ttdgkv7ucrektkwjxwfeszuuxu

Implementation of Predictive Crime Analytics in Municipal Crime Management System in Calauan, Laguna, Philippines

Jonardo R. Asor
2020 International Journal of Advanced Trends in Computer Science and Engineering  
It is also shown in this paper that regression is better than other classification algorithms in terms of predicting crime occurrence.  ...  A predictive model was designed using multinomial logistic regression, which acquires a totality accuracy of 86.60% and prediction confidence.  ...  Classifier Accuracy Multinomial Logistic Regression 82.03% SVM 78.09% Neural Network 52.00% For providing Table 5 : 5 Classification Report of Multinomial Logistic Regression for Crime Location Prediction  ... 
doi:10.30534/ijatcse/2020/2291.32020 fatcat:q2scvkpmlzbqdlzsphabitysvq


Xiaoyu Du, Chris Hargreaves, John Sheppard, Felix Anda, Asanka Sayakkara, Nhien-An Le-Khac, Mark Scanlon
2020 Proceedings of the 15th International Conference on Availability, Reliability and Security  
Digital forensic investigators are overloaded with the volume of cases requiring their expertise compounded by the volume of data to be processed.  ...  In 2017, a crowd-sourced and CV based approach to fight sex trafficking was proposed; hotel identification with a search-by-image based on features extracted from neural networks was implemented [105]  ...  They tested both feedforward and recurrent neural networks.  ... 
doi:10.1145/3407023.3407068 dblp:conf/IEEEares/DuHSASLS20 fatcat:2o4wklh2tbehpmed7c7jfzyile

Comprehensive serum metabolic and proteomic characterization on cognitive dysfunction in Parkinson's disease

Na Zhang, Chuanxi Tang, Qiong Ma, Wei Wang, Mingyu Shi, Xiaoyu Zhou, Fangfang Chen, Chengcheng Ma, Xue Li, Gang Chen, Dianshuai Gao
2021 Annals of Translational Medicine  
The obtained metabolic and proteomics IPA network highlighted the central term of this network was inflammation and abnormal lipid metabolism which are prominent in PD-CI.  ...  Logistic and linear regression analyses were performed for differential metabolic indicators, cognition, and clinical diagnosis.  ...  Figure 2 2 The diagram of regulatory network. Linking metabolites and proteins in serum with a network map to visualize the interactions in the full data set.  ... 
doi:10.21037/atm-20-4583 pmid:33987257 pmcid:PMC8105844 fatcat:k3soj2hfifhsho76zkjzurv5eu

Emotions and brain function are altered up to one month after a single high dose of psilocybin

Frederick S. Barrett, Manoj K. Doss, Nathan D. Sepeda, James J. Pekar, Roland R. Griffiths
2020 Scientific Reports  
including assessments 1-day before, 1-week after, and 1-month after receiving a 25 mg/70 kg dose of psilocybin to test the hypothesis that psilocybin administration leads to enduring changes in affect and neural  ...  Rather than receptor trafficking or other residual pharmacological effects, the reported findings might better be explained by a neuroplastic period during which the neural processing of affective stimuli  ...  Nodes are grouped together in rows and columns by network as defined in the Shen atlas, with black lines marking the border between networks in the matrix.  ... 
doi:10.1038/s41598-020-59282-y pmid:32042038 pmcid:PMC7010702 fatcat:47ztdtevfjhlzjy3etytwnyhdu

Cancer mortality and congenital anomalies in a region of Italy with intense environmental pressure due to waste

M Martuzzi, F Mitis, F Bianchi, F Minichilli, P Comba, L Fazzo
2009 Occupational and Environmental Medicine  
Increased risks were also found for all cancer mortality (both sexes), stomach and lung cancer (in men).  ...  Poisson regression was used to analyse the association between health outcomes and environmental contamination due to waste, as measured through a composite index, adjusting for deprivation.  ...  Data on population counts by census tract (a geographical unit smaller than municipality, with 20 (median value) tracts per municipality) were combined with the ordinal classification of the zones, producing  ... 
doi:10.1136/oem.2008.044115 pmid:19416805 fatcat:leab5fynzbbrtdxirlsxbxhsy4

Self-Supervised Euphemism Detection and Identification for Content Moderation [article]

Wanzheng Zhu, Hongyu Gong, Rohan Bansal, Zachary Weinberg, Nicolas Christin, Giulia Fanti, Suma Bhat
2021 arXiv   pre-print
Fringe groups and organizations have a long history of using euphemisms--ordinary-sounding words with a secret meaning--to conceal what they are discussing.  ...  Compared to the existing state of the art, which uses context-free word embeddings, our algorithm for detecting euphemisms achieves 30-400% higher detection accuracies of unlabeled euphemisms in a text  ...  We select an LSTM recurrent neural network model [89] with an attention mechanism [90] for its ability to learn to pay attention to the correct segments of an input sequence.  ... 
arXiv:2103.16808v1 fatcat:z44viumb25bxdmdyr66gfoxipu

ACNP 58th Annual Meeting: Panels, Mini-Panels and Study Groups

2019 Neuropsychopharmacology  
Current caged dynorphin-8 variants exhibit sufficient inactivity to achieve robust, rapid and spatially-resolved receptor activation with light and are compatible with concomitant fluorescence imaging.  ...  Recent progress has been made on probes to study interactions between the opioid neuropeptide dynorphin and the kappa opioid receptor, which are implicated in the negative aversive states associated with  ...  Non-parametric regression and partial regression analysis were used for ordinal and continuous data.  ... 
doi:10.1038/s41386-019-0544-z pmid:31801977 pmcid:PMC6957922 fatcat:hjyvf7fcpbf2fhxit6rlhsvg2y

Exome sequencing identifies novel AD-associated genes [article]

Henne Holstege, Marc Hulsman, Camille Charbonnier, Benjamin Grenier-Boley, Olivier Quenez, Detelina Grozeva, Jeroen van Rooij, Rebecca Sims, Shahzad Ahmad, Najaf Amin, Penny Norsworthy, Oriol Dols (+75 others)
2020 biorxiv/medrxiv   pre-print
and SRC genes associated with increased AD risk.  ...  Disease (AD), reaching odds ratios comparable with the APOE-ε4 allele, the main common AD genetic risk factor.  ...  Contamination Samples with a contamination percentage > 7.5% were removed. Sex-check We performed a sex-check, by comparing annotated sex with genetic sex (Figure S5 ). Figure S6) .  ... 
doi:10.1101/2020.07.22.20159251 fatcat:nsxwegmowbh2rf3ytrbkjbr7qa

Vascular Inflammation Is a Risk Factor Associated with Brain Atrophy and Disease Severity in Parkinson's Disease: A Case-Control Study

Chiun-Chieh Yu, Hsiu-Ling Chen, Meng-Hsiang Chen, Cheng-Hsien Lu, Nai-Wen Tsai, Chih-Cheng Huang, Yung-Yee Chang, Shau-Hsuan Li, Yueh-Sheng Chen, Pi-Ling Chiang, Wei-Che Lin
2020 Oxidative Medicine and Cellular Longevity  
Patients with PD seem to have abnormal levels of vascular inflammatory markers and miRNAs in the peripheral circulation, and these levels are correlated with specific brain volume changes.  ...  Systemic inflammation with elevated oxidative stress causing neuroinflammation is considered a major factor in the pathogenesis of Parkinson's disease (PD).  ...  functional connectivity between brain regions associated with neurovascular changes would clarify the complex neural network involved in vascular factor and BBB dysfunction.  ... 
doi:10.1155/2020/2591248 pmid:32733633 pmcid:PMC7376437 fatcat:fls7lb2eyzgc3eiy2hpqy6x4o4

BDNF rs6265 Polymorphism and Its Methylation in Patients with Stroke Undergoing Rehabilitation

Massimo Santoro, Mariacristina Siotto, Marco Germanotta, Elisa Bray, Alessia Mastrorosa, Camilla Galli, Dionysia Papadopoulou, Irene Aprile
2020 International Journal of Molecular Sciences  
A higher percentage of A− patients obtained a favorable outcome, as showed by the logistic regression model corrected by age and time since the stroke onset, compared with the A+ patients (OR: 5.59).  ...  We investigated the correlation between BDNF rs6265 SNP and recovery outcome, measured by the modified Barthel index, in 49 patients with stroke hospitalized in our rehabilitation center at baseline (T0  ...  After a stroke, the brain has the ability to reorganize its neural networks, through neuroplasticity processes that include both the break-down and rewiring of the existing links, and the creation of new  ... 
doi:10.3390/ijms21228438 pmid:33182716 fatcat:d346dfivwfbdddd4ah4zvuv2vu

Combination analysis of genome-wide association and transcriptome sequencing of residual feed intake in quality chickens

Zhenqiang Xu, Congliang Ji, Yan Zhang, Zhe Zhang, Qinghua Nie, Jiguo Xu, Dexiang Zhang, Xiquan Zhang
2016 BMC Genomics  
as DEGs in chickens with divergent RFIs.  ...  Some potential genes within the 500 Kb flanking region of the significant RFI-related SNPs detected in GWAS (i.e., MGP, HIST1H110, HIST1H2A4L3, OC3, NR0B2, PER2, ST6GALNAC2, and G0S2) were also identified  ...  The networks were more comprehensive and detailed when combined with the function of homologous genes from humans and mice.  ... 
doi:10.1186/s12864-016-2861-5 pmid:27506765 pmcid:PMC4979145 fatcat:y3shcmapjba3pk5y3a3gajo6f4
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