LLukas22/scidocs huggingface dataset:
FSquaDRA: Fast Detection of Repackaged Applications

The ease of Android applications repackaging and proliferation of application clones in Google Play and other markets call for new effective techniques to detect repackaged code and combat distribution of cloned applications. Today all existing techniques for repackaging detection are based on code similarity or feature (e.g., permission set) similarity evaluation. We propose a new approach to detect repackaging based on the resource files available in application packages. Our tool called FSquaDRA performs a quick pairwise application comparison (full pairwise comparison for 55,000 applications in just 80 hours on a laptop), as it measures how many identical resources are present inside both packages under analysis. The intuition behind our approach is that malicious repackaged applications still need to maintain the “look and feel” of the originals by including the same images and other resource files, even though they might have additional code included or some of the original code removed. To evaluate the reliability of our approach we perform a comparison of the FSquaDRA similarity scores with the code-based similarity scores of AndroGuard for a dataset of randomly selected application pairs, and our results demonstrate strong positive correlation of the FSquaDRA resource-based score with the code-based similarity score.
Anti-CTLA-4 antibody-induced Guillain-Barré syndrome in a melanoma patient.

A 57-year-old woman was diagnosed with a macroscopic axillary lymph node metastasis of a primary occult melanoma for which she underwent a complete axillary lymph node dissection. Three years later, recurrence was diagnosed when an intra-abdominal metastasis inferior to the spleen became apparent. Progression of this metastasis was documented despite first-line chemotherapy with dacarbazine (three cycles) and second-line chemotherapy with carboplatinum and paclitaxel (two cycles). During second-line chemotherapy, she had developed severe anorexia, fatigue and depression (for which treatment with venlafaxine had been initiated). There had been no signs or symptoms of paclitaxel-induced neurotoxicity. When she first consulted our melanoma clinic, alimentation was maintained by feeding through a nasogastric tube and her Karnofsky performance status was 50%. Following partial recovery of her general condition, the patient initiated monotherapy with ipilimumab (Bristol-Myers Squibb Co., New York, NY) in July 2010. Ipilimumab, an IgG1 mAb against cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), was administered at a dose of 3 mg/kg of body weight given i.v. every 3 weeks. One week after the third dose of ipilimumab, the patient reported over telephone that she had started experiencing dysesthesia (numbness and tingling) at the hands and feet. Within 48 h thereafter, she devolved a rapidly ascending loss of sensory and motor function of the limbs. At the time of admittance to the emergency department, she had lost the capacity to walk without support as well as a sensory loss that had progressively ascended to the level of the knees and elbows. Further clinical neurological examination revealed a loss of the deep tendon reflexes; there were no signs of meningism or cranial nerve impairment. She had preserved a normal consciousness and was apyretic; there were no findings indicating infection or progression of her melanoma. Laboratory findings on venous blood were unremarkable; magnetic resonance imaging of neither the brain nor the spinal cord revealed any abnormalities. Electromyography (EMG) was diagnostic for a generalized motor and sensory demyelinating polyneuropathy. Cerebrospinal fluid (CSF) analysis showed clear appearance with a normal glucose (105 mg/dl), slightly elevated lactate (2.5 mmol/l; normal < 1.7), <2/mm nucleated cells, <2/mm red blood cells but an elevated protein level [total protein 167 mg/dl (normal range: 29–67), albumin 96.6 mg/dl (normal range: 14–20)], with elevated IgG (8.05 mg/dl; normal range: 1.7–3.4) with the presence of oligoclonal bands in CSF and serum. Microbiological culture remained negative as well as PCR for Borrrelia burgdorferi. These pathological findings are consistent with a diagnosis of the Guillain–Barré syndrome Annals of Oncology letters to the editor
Some Methodological Uses of Responses to Open Questions and Other Verbatim Comments in Quantitative Surveys

The use of open-ended questions in survey research has a very long history. In this paper, building on the work of Paul F. Lazarsfeld and Howard Schuman, we review the methodological uses of open-ended questions and verbatim responses in surveys. We draw on prior research, our own and that of others, to argue for increasing the use of open-ended questions in quantitative surveys. The addition of open-ended questions – and the capture and analysis of respondents’ verbatim responses to other types of questions – may yield important insights, not only into respondents’ substantive answers, but also into how they understand the questions we ask and arrive at an answer. Adding a limited number of such questions to computerized surveys, whether selfor interviewer-administered, is neither expensive nor time-consuming, and in our experience respondents are quite willing and able to answer such questions.
Distinct plasmonic manifestation on gold nanorods induced by the spatial perturbation of small gold nanospheres.

The plasmon coupling between a Au nanorod and a small Au nanosphere has been studied with scattering measurements, electrodynamic simulations, and model analysis. The spatial perturbation of the nanosphere leads to distinct spectral changes of the heterodimer. The plasmonic responses, including Fano resonance, are remarkably sensitive to the nanosphere position on the nanorod, the gap distance, and the nanocrystal dimensions. The nanosphere dipole is intriguingly found to rotate around the nanorod dipole to achieve favorable attractive interaction for the bonding dipole-dipole mode. The sensitive spectral response of the heterodimer to the spatial perturbation of the nanosphere offers an approach to designing plasmon rulers of two spatial coordinates for sensing and high-resolution measurements of distance changes.
Thrombolysis in brain ischemia (TIBI) transcranial Doppler flow grades predict clinical severity, early recovery, and mortality in patients treated with intravenous tissue plasminogen activator.

BACKGROUND AND PURPOSE
TIMI angiographic classification measures coronary residual flow and recanalization. We developed a Thrombolysis in Brain Ischemia (TIBI) classification by using transcranial Doppler (TCD) to noninvasively monitor intracranial vessel residual flow signals. We examined whether the emergent TCD TIBI classification correlated with stroke severity and outcome in patients treated with intravenously administered tPA (IV-tPA).


METHODS
TCD examination occurred acutely and on day 2. TIBI flows were determined at distal MCA and basilar artery depths, depending on occlusion site. TIBI waveforms were graded as follows: 0, absent; 1, minimal; 2, blunted; 3, dampened; 4, stenotic; and 5, normal. National Institutes of Health Stroke Scale (NIHSS) scores were obtained at baseline and 24 hours after administration of tPA.


RESULTS
One hundred nine IV tPA patients were studied. Mean+/-SD age was 68+/-16 years; median NIHSS score before administration of tPA (pre-tPA) was 17.5. The tPA bolus was administered 143+/-58 minutes and the TCD examination 141+/-57 minutes after symptom onset. Pre-tPA NIHSS scores were higher in patients with TIBI grade 0 than TIBI grade 4 or 5 flow. TIBI flow improvement to grade 4 or 5 occurred in 35% of patients (19/54) with an initial grade of 0 or 1 and in 52% (12/23) with initial grade 2 or 3. The 24-hour NIHSS scores were higher in follow-up in patients with TIBI grade 0 or 1 than those with TIBI grade 4 or 5 flow. TIBI flow recovery correlated with NIHSS score improvement. Lack of flow recovery predicted worsening or no improvement. In-hospital mortality was 71% (5/7) for patients with posterior circulation occlusions; it was 22% (11/51) for patients with pre-tPA TIBI 0 or 1 compared with 5% (1/19) for those with pre-tPA TIBI 2 or 3 anterior circulation occlusions.


CONCLUSIONS
Emergent TCD TIBI classification correlates with initial stroke severity, clinical recovery, and mortality in IV-tPA-treated stroke patients. A flow-grade improvement correlated with clinical improvement.
On Searching Relevant Studies in Software Engineering

BACKGROUND: Systematic Literature Review (SLR) has become an important research methodology in software engineering since 2004. One critical step in applying this methodology is to design and execute appropriate and effective search strategy. This is quite time consuming and error-prone step, which needs to be carefully planned and implemented. There is an apparent need of a systematic approach to designing, executing, and evaluating a suitable search strategy for optimally retrieving the target literature from digital libraries.
Web Spam Detection with Anti-Trust Rank

Spam pages on the web use various techniques to artificially achieve high rankings in search engine results. Human experts can do a good job of identifying spam pages and pages whose information is of dubious quality, but it is practically infeasible to use human effort for a large number of pages. Similar to the approach in [1], we propose a method of selecting a seed set of pages to be evaluated by a human. We then use the link structure of the web and the manually labeled seed set, to detect other spam pages. Our experiments on the WebGraph dataset [3] show that our approach is very effective at detecting spam pages from a small seed set and achieves higher precision of spam page detection than the Trust Rank algorithm, apart from detecting pages with higher pageranks, on an average.
30.10 A 1TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13μm CMOS

Direct processing of raw high-dimensional data such as images and video by machine learning systems is impractical both due to prohibitive power consumption and the “curse of dimensionality,” which makes learning tasks exponentially more difficult as dimension increases. Deep machine learning (DML) mimics the hierarchical presentation of information in the human brain to achieve robust automated feature extraction, reducing the dimension of such data. However, the computational complexity of DML systems limits large-scale implementations in standard digital computers. Custom analog or mixed-mode signal processors have been reported to yield much higher energy efficiency than DSP [1-4], presenting the means of overcoming these limitations. However, the use of volatile digital memory in [1-3] precludes their use in intermittently-powered devices, and the required interfacing and internal A/D/A conversions add power and area overhead. Nonvolatile storage is employed in [4], but the lack of learning capability requires task-specific programming before operation, and precludes online adaptation.
Safety and efficacy of dual therapy with GSK233705 and salmeterol versus monotherapy with salmeterol, tiotropium, or placebo in a crossover pilot study in partially reversible COPD patients

BACKGROUND
GSK233705 is an inhaled, long-acting muscarinic antagonist in development for the treatment of chronic obstructive pulmonary disease (COPD). This study was performed to see if the addition of GSK233705 to salmeterol would provide greater bronchodilation than salmeterol or tiotropium alone in COPD.


METHODS
In an incomplete-block, three-period, crossover design, dually responsive patients received three of the following five treatments: GSK233705 20 μg plus salmeterol 50 μg twice-daily; GSK233705 50 μg plus salmeterol 50 μg twice-daily; salmeterol 50 μg or placebo, each twice-daily; and tiotropium 18 μg or placebo once-daily for 7 days. Each treatment period was separated by a 14-day washout. The primary efficacy endpoint was morning (trough) forced expiratory volume in 1 second (FEV(1)) on Day 8, following 7 days of treatment. Secondary endpoints included pulmonary function, plethysmography, pharmacokinetics of GSK233705 and salmeterol, adverse events (AEs), electrocardiograms (ECGs), vital signs, and laboratory parameters.


RESULTS
A total of 47 patients were randomized. The mean % predicted normal postbronchodilator FEV(1) was 55% at screening. Compared with placebo (n = 24), the adjusted mean change from baseline in trough FEV(1) on Day 8 was 215 mL higher with GSK233705 20 μg + salmeterol (n = 23) and 203 mL higher with GSK233705 50 μg + salmeterol (n = 27), whereas with salmeterol (n = 27) and tiotropium (n = 28) the changes were 101 mL and 118 mL higher, respectively. The primary efficacy results were supported by the results from the other secondary lung function assessments. AEs were reported by similar proportions of patients across the treatment groups, with headache the most frequently reported treatment-related AE reported by one subject receiving each of GSK233705 20 μg + salmeterol, tiotropium, and placebo. No significant differences were seen in vital signs, ECGs, or laboratory parameters between the groups.


CONCLUSION
The addition of GSK233705 to salmeterol in partially reversible COPD patients resulted in greater bronchodilation than salmeterol or tiotropium alone and was well tolerated.
Study on Roller-Walker - Energy efficiency of Roller-Walk -

Roller-Walker is a leg-wheel hybrid mobile robot using a passive wheel equipped on the tip of each leg. The passive wheel can be transformed into sole mode by rotating ankle roll joint when Roller-Walker walks on rough terrain. This paper discusses energy efficiency of locomotion in wheeled mode. We define a leg trajectory to produce forward straight propulsion and discuss the relationships between the parameters of the leg trajectory and energy efficiency of the propulsion using numerical simulator. We find optimum parameter sets where optimization criteria is specific resistance. Then we carried out hardware experiments and empirically derived experimental specific resistance. We show that wheeled locomotion has 8 times higher energy efficiency than ordinary crawl gait. Finally we compare the specific resistance of Roller-Walker with other walking robots described in the literatures.
Optimal Integration of Distributed Energy Storage Devices in Smart Grids

Energy storage is traditionally well established in the form of large scale pumped-hydro systems, but nowadays is finding increased attraction in medium and smaller scale systems. Such expansion is entirely complementary to the forecasted wider integration of intermittent renewable resources in future electrical distribution systems (Smart Grids). This paper is intended to offer a useful tool for analyzing potential advantages of distributed energy storages in Smart Grids with reference to both different possible conceivable regulatory schemes and services to be provided. The Smart Grid Operator is assumed to have the ownership and operation of the energy storage systems, and a new cost-based optimization strategy for their optimal placement, sizing and control is proposed. The need to quantify benefits of both the Smart Grid where the energy storage devices are included and the external interconnected grid is explored. Numerical applications to a Medium Voltage test Smart Grid show the advantages of using storage systems related to different options in terms of incentives and services to be provided.
Doppler ultrasound examination of uterine arteries on the day of oocyte retrieval in patients with uterine fibroids undergoing IVF.

BACKGROUND
There is no consensus as to whether uterine fibroids have any adverse effects on the outcomes of assisted reproduction treatment. This prospective study compared implantation/pregnancy rates of women with and without fibroids undergoing IVF-embryo transfer and measured uterine blood flow indices of the fibroid group.


METHODS
Patients who had fibroids that, during transvaginal scanning, were found to be not distorting the endometrial lining were placed in the fibroid group, while patients with normal uteri were controls. Those with previous myomectomy or pedunculated subserosal fibroids only were excluded. All received a standard ovarian stimulation regimen. Doppler ultrasound examinations of uterine arteries were carried out in the fibroid group prior to oocyte retrieval.


RESULTS
Similar implantation/pregnancy rates, multiple pregnancy rates and pregnancy outcomes were noted in both groups. In the fibroid group, significantly lower pulsatility index (PI) and resistance index (RI) of the right uterine artery and the average of right and left uterine arteries were found in those failing to conceive than in those patients who subsequently conceived (P < 0.001).


CONCLUSION
The presence of fibroids not distorting the endometrial lining does not adversely affect implantation and pregnancy rates during IVF-embryo transfer. Significantly lower uterine artery PI and RI were found in non-pregnant women with fibroids than in their pregnant counterparts.
A novel deterministic approach for aspect-based opinion mining in tourism products reviews

This work proposes an extension of Bing Liu’s aspect-based opinion mining approach in order to apply it to the tourism domain. The extension concerns with the fact that users refer differently to different kinds of products when writing reviews on the Web. Since Liu’s approach is focused on physical product reviews, it could not be directly applied to the tourism domain, which presents features that are not considered by the model. Through a detailed study of on-line tourism product reviews, we found these features and then model them in our extension, proposing the use of new and more complex NLP-based rules for the tasks of subjective and sentiment classification at the aspect-level. We also entail the task of opinion visualization and summarization and propose new methods to help users digest the vast availability of opinions in an easy manner. Our work also included the development of a generic architecture for an aspect-based opinion mining tool, which we then used to create a prototype and analyze opinions from TripAdvisor in the context of the tourism industry in Los Lagos, a Chilean administrative region also known as the Lake District. Results prove that our extension is able to perform better than Liu’s model in the tourism domain, improving both Accuracy and Recall for the tasks of subjective and sentiment classification. Particularly, the approach is very effective in determining the sentiment orientation of opinions, achieving an F-measure of 92% for the task. However, on average, the algorithms were only capable of extracting 35% of the explicit aspect expressions, using a non-extended approach for this task. Finally, results also showed the effectiveness of our design when applied to solving the industry’s specific issues in the Lake District, since almost 80% of the users that used our tool considered that our tool adds valuable information to their business. 2014 Elsevier Ltd. All rights reserved.
Speech and language processing: an introduction to natural language processing

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material. Supplements: Click on the "Resources" tab to View Downloadable Files:Solutions Power Point Lecture Slides Chapters 1-5, 8-10, 12-13 and 24 Now Available! For additional resourcse visit the author website: http://www.cs.colorado.edu/~martin/slp.html
Computer-aided dermoscopy for diagnosis of melanoma

BACKGROUND
Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients.


METHODS
We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or cosmetic reasons. Each lesion was examined by two clinicians with naked eyes and all of their clinical diagnostic considerations were recorded. The lesions were analyzed using a microDERM dermoscopy unit. The output value of the software for each lesion was a score between 0 and 10. All of the lesions were excised and examined histologically.


RESULTS
Histopathological examination revealed melanoma in six lesions. Considering only the most likely clinical diagnosis, sensitivity and specificity of clinical examination for diagnosis of melanoma were 83% and 96%, respectively. Considering all clinical diagnostic considerations, the sensitivity and specificity were 100% and 89%. Choosing a cut-off point of 7.88 for dermoscopy score, the sensitivity and specificity of the score for diagnosis of melanoma were 83% and 96%, respectively. Setting the cut-off point at 7.34, the sensitivity and specificity were 100% and 90%.


CONCLUSION
The diagnostic accuracy of the dermoscopy system was at the level of clinical examination by dermatologists with naked eyes. This system may represent a useful tool for screening of melanoma, particularly at centers not experienced in the field of pigmented skin lesions.
QoS-aware service selection via collaborative QoS evaluation

We present in this paper a novel collaborative filtering based scheme for evaluating the QoS of large scale Web services. The proposed scheme automates the process of assessing the QoS of a priori unknown service providers and thus facilitates service users in selecting services that best match their QoS requirements. Most existing service selection approaches ignore the great diversity in the service environment and assume that different users receive identical QoS from the same service provider. This may lead to inappropriate selection decisions as the assumed QoS may deviate significantly from the one actually received by the users. The collaborative filtering based approach addresses this issue by taking the diversity into account instead of uniformly applying the same QoS value to different users. They predict a user’s QoS on an unknown service by exploiting the historical QoS experience of similar users. Nevertheless, when only limited historical QoS data is available, these approaches either fail to make any predictions or make very poor ones. The cornerstone of the proposed QoS evaluation scheme is a Relational Clustering based Model (or RCM) that effectively addresses the data scarcity issue as stated above. Experimental results on both real and synthetic datasets demonstrate that the proposed scheme can more accurately predict the QoS on unknown service providers. The efficient performance also makes it applicable to QoS evaluation for large scale Web services.