219 research outputs found
Neural geolocation prediction in Twitter
Get PDFInferring the location of a user has been a valuable step for many applications that leverage social media, such as marketing, security monitoring and recommendation systems. Motivated by the recent success of Deep Learning techniques for many tasks such as computer vision, speech recognition, and natural language processing, we study the application of neural models to the problem of geolocation prediction and experiment with multiple techniques to analyze neural networks for geolocation inference based solely on text. Experimental results on the dataset suggest that choosing appropriate network architecture can all increase performance on this task and demonstrate a promising extension of neural network based models for geolocation prediction. Our systematic extensive study of four supervised and three unsupervised tweet representations reveal that Convolutional Neural Networks (CNNs) and fastText best encode the the textual and geoloca- tional properties of tweets respectively. fastText emerges as the best model for low resource settings, providing very little degradation with reduction in embedding size.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-05-01The student, Pramod Srinivasan, accepted the attached license on 2017-04-25 at 12:15.The student, Pramod Srinivasan, submitted this Thesis for approval on 2017-04-25 at 12:51.This Thesis was approved for publication on 2017-04-25 at 18:42.DSpace SAF Submission Ingestion Package generated from Vireo submission #11043 on 2017-08-10 at 14:32:36Made available in DSpace on 2017-08-10T19:52:23Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-04-25Embargo set by: Colleen Fallaw for item 102685
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Excited-state intramolecular proton transfer of 2-acetylindan-1,3-dione studied by ultrafast absorption and fluorescence spectroscopy
Get PDFWe employ transient absorption from the deep-UV to the visible region and fluorescence upconversion to investigate the photoinduced excited-state intramolecular proton-transfer dynamics in a biologically relevant drug molecule, 2-acetylindan- 1,3-dione. The molecule is a ß-diketone which in the electronic ground state exists as exocyclic enol with an intramolecular H-bond. Upon electronic excitation at 300 nm, the first excited state of the exocyclic enol is initially populated, followed by ultrafast proton transfer (±160 fs) to form the vibrationally hot endocyclic enol. Subsequently, solvent-induced vibrational relaxation takes place (±10 ps) followed by decay (±390 ps) to the corresponding ground state. © 2015 Author(s)1561sciescopu
Supersymmetric many-body systems from partial symmetries — integrability, localization and scrambling
Get PDFPartial symmetries are described by generalized group structures known as symmetric inverse semigroups. We use the algebras arising from these structures to realize supersymmetry in (0+1) dimensions and to build many-body quantum systems on a chain. This construction consists in associating appropriate supercharges to chain sites, in analogy to what is done in spin chains. For simple enough choices of supercharges, we show that the resulting states have a finite non-zero Witten index, which is invariant under perturbations, therefore defining supersymmetric phases of matter protected by the index. The Hamiltonians we obtain are integrable and display a spectrum containing both product and entangled states. By introducing disorder and studying the out-of-time-ordered correlators (OTOC), we find that these systems are in the many-body localized phase and do not thermalize. Finally., we reformulate a theorem relating the growth of the second Rényi entropy to the OTOC on a thermal state in terms of partial symmetries. © 2017, The Author(s)2211Nsciescopu
Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence
No full textIoT has gained immense popularity recently with advancements in technologies and big data. IoT network is dynamically increasing with the addition of devices, and the big data is generated within the network, making the network vulnerable to attacks. Thus, network security is essential, and an intrusion detection system is needed. In this paper, we proposed a deep learning-based model for detecting intrusions or attacks in IoT networks. We constructed a DNN model, applied a filter method for feature reduction, and tuned the model with different parameters. We also compared the performance of DNN with other machine learning techniques in terms of accuracy, and the proposed DNN model with weight decay of 0.0001 and dropout rate of 0.01 achieved an accuracy of 0.993, and the reduced loss on the NSL-KDD dataset having five classes. DL models are a black box and hard to understand, so we explained the model predictions using LIME.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
Bleomycin induced flagellate erythema in a patient with thalamic mixed germ cell tumour: Report of a rare adverse effect
No full textBleomycin induced flagellate dermatitis is an uncommon and unique adverse effect. With the declining use of bleomycin, this complication is becoming increasingly infrequent in day-to-day clinical practice. We herein describe a case of a 13 year old male patient with left thalamic mixed germ cell tumour treated by multimodality approach, who developed flagellate erythema after two cycles of combination chemotherapy with bleomycin, etoposide and cisplatin (BEP). This brief report highlights the importance of awareness and timely identification and management of this dermatological toxicity in patients undergoing bleomycin based combination chemotherapy
Myśleć fantastyką. Przez science fiction do posthumanizmu
Get PDFThe author presents the thesis that fantastic literature and film, especially in the science fiction variant, is a privileged form of expression in posthumanist discourse. The themes, motifs and protagonists of science fiction are invoked in various contexts by Donna J. Haraway, Rosi Braidotti, Luciana Parisi, and Pramod K. Nayar. The author analyzes various areas of the involvement and usage of science fiction in posthumanist discourse: on the ontological, axiological and epistemological levels.The author presents the thesis that fantastic literature and film, especially in the science fiction variant, is a privileged form of expression in posthumanist discourse. The themes, motifs and protagonists of science fiction are invoked in various contexts by Donna J. Haraway, Rosi Braidotti, Luciana Parisi, and Pramod K. Nayar. The author analyzes various areas of the involvement and usage of science fiction in posthumanist discourse: on the ontological, axiological and epistemological levels
Breast cancer with inguinal node recurrence
No full textSurgery and irradiation for breast cancer may interfere with conventional pathways of spread, leading to bizarre patterns of dissemination through lymphatics or through hematogenous route. Lymphoscintigraphic studies may help identify nodal involvement. Other possible reasons could be occurrence of primary breast cancer in accessory breast tissue retained in the vulva following involution of milk line. We describe a case of triple negative breast cancer, who developed contralateral breast cancer during treatment. Three years later, she developed isolated inguinal nodal metastases, which responded to local radiotherapy and chemotherapy. However, the patient relapsed after 2 years and could not be salvaged thereafter
Long-Term 5-Year Response to Pembrolizumab, Bevacizumab, and Capecitabine Regimen in a Metastatic Colon Cancer Patient with MSI-High and KRAS Mutation: Case Report
No full textWith an estimated 1.88 million new cases and 0.92 million deaths in 2020, colorectal cancer accounts for nearly one-tenth of all new cancer and cancer-related deaths worldwide. Nearly half of the patients of colorectal cancer are diagnosed with metastatic or inoperable disease with a very dismal 5-year survival rate. Chemotherapy, targeted therapy, and immunotherapy have been used to treat metastatic disease, either alone or in combination. We present a case of recurrent metastatic colon carcinoma with KRAS exon 2 mutation and high microsatellite instability that was treated with a combination regimen of bevacizumab, capecitabine oral chemotherapy, and pembrolizumab immunotherapy. At nearly 5 years of treatment, the patient is alive with good performance status and improved quality of life owing to a favorable response to the molecular profiling-based treatment approach
Security for proof of work blockchains via checkpointing
Get PDFFinality gadgets are comprised of a Byzantine Fault Tolerant (BFT) protocol finalizing blocks produced by a Proof-of-Work (PoW) or Proof-of-Stake (PoS) chain protocol. They have become very popular methods for combining the best features of the BFT and PoW protocols and are proposed for deployment in many major blockchains. While the finality gadget architecture has been explored through many distinct dimensions, their performance under an adversarial majority in the PoW chain protocol has received scant attention. The raison d’etre for a finality gadget is to provide safety even under an adversarial majority in the PoW chain (hence the term “finality” gadget). While safety guarantee is easily provided by the finality gadget, significant liveness vulnerabilities exist. The proposed remedy achieves asymptotic liveness but the achieved chain quality (the fraction of honest blocks in the ledger) and latency deteriorate exponentially as the adversary power increases beyond 50%. Furthermore, the proposed gadget does not guarantee liveness in protocols beyond the Nakamoto longest chain.
In this thesis, we propose Advocate, a new finality gadget architecture, which achieves two main results: (a) optimal chain quality and low latency under a super-majority adversary for the Nakamoto longest chain protocol and (b) generalization to a variety of parallel-chain based scaling architectures, including OHIE, Prism and ledger combiner. We demonstrate via a full-stack implementation the robustness of Advocate under a 90% adversarial majority.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-08-01The student, Siheng Pan, accepted the attached license on 2021-07-20 at 16:05.The student, Siheng Pan, submitted this Thesis for approval on 2021-07-20 at 16:29.This Thesis was approved for publication on 2021-07-21 at 09:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #16599 on 2022-01-12 at 13:02:53Made available in DSpace on 2022-01-12T22:51:33Z (GMT). No. of bitstreams: 2
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