gebhart/patrepeval huggingface dataset:
Massive MIMO Channels with Inter-User Angle Correlation: Open-Access Dataset, Analysis and Measurement-Based Validation (2020)

In practical propagation environments, different massive MIMO users can have correlated angles in spatial paths. In this paper, we study the effect of angle correlation on inter-user channel correlation via a combination of measurement and analysis. We show three key results. First, we collect a massive MIMO channel dataset for examining the inter-user channel correlation in a real-world propagation environment; the dataset is now open-access. We observed channel correlation higher than $0.48$ for all close-by users. Additionally, over $30$ % of far-away users, even when they are tens of wavelengths apart, have inter-user channel correlation that is at least twice higher than the correlation in the i.i.d. Rayleigh fading channel. Second, we compute the inter-user channel correlation in closed-form as a function of inter-user angle correlation, the number of base-station antennas, and base-station inter-antenna spacing. Our analysis shows that inter-user angle correlation increases the inter-user channel correlation. Inter-user channel correlation reduces with a larger base-station array aperture, i.e., more antennas and larger inter-antenna spacing. Third, we explain the measurements with numerical experiments to show that inter-user angle correlation can result in significant inter-user channel correlation in practical massive MIMO channels.
Joint Power Allocation and LED Transmission Angle Tuning in NOMA-Enabled VLC Networks (2022)

Visible light communication (VLC) has been envisaged as a key enabler for high-data rate wireless services in future wireless communication networks. On the other hand, it was also demonstrated recently that non-orthogonal multiple access (NOMA) can further improve the spectral efficiency of multiuser VLC systems. In this context, we propose an efficient deep Q-learning based algorithm that maximizes the average sum rate of the downlink in the NOMA-VLC network. This is achieved by jointly optimizing the power allocation and the transmission angle of the LEDs. The obtained results demonstrate that our algorithm offers a noticeable performance enhancement in terms of average sum rate, while maintaining the minimum convergence time.
What do you think about this photo? A novel approach to opinion and sentiment analysis of photo comments (2013)

We propose a practical unsupervised approach to opinion and sentiment analysis of photo comments with a real-valued strength orientation. We extract two types of opinions: opinions that relate to the photo quality and general sentiments targeted towards objects depicted on the photo. Our approach combines linguistic features for part of speech tagging, traditional statistical methods for modelling word importance in the photo comment corpus (in a real-valued scale), and a predefined lexicon for detecting negative and positive opinion orientation. In addition, we apply a semi-automatic photo feature detection method and introduce a set of syntactic patterns to resolve opinion references. The results of our user study among 49 non-expert participants of different ages showed no statistical differences between user evaluation and the algorithm.
ON STABILIZED FINITE ELEMENT METHODS FOR TRANSIENT PROBLEMS WITH VARYING TIME SCALES (2004)

Many engineering and scientific applications require a detailed analysis of strongly coupled continuum transport and chemical reaction physics. These systems are characterized by the co-existence of advection and diusion time scales similar to those occurring in typical flow problems, with very short time scales for non-equilibrium chem- ical reactions. Accurate resolution of the reaction phase may require time-steps orders of magnitude smaller than those normally used in the flow solver. In this paper we inves- tigate the impact of such time-steps on stabilized mixed methods. We show that spatial stabilization in conjunction with finite dierence discretization in time leads to couplings that may cause unstable and/or inaccurate approximations. A careful examination of the fully discrete equations reveals that instability is caused by changes in the incompressibility equation by terms that are needed to fulfill the consistency requirement.
Fluidic assembly for an ultra-high-speed chromosome flow sorter (2023)

A fluidic assembly for an ultra-high-speed chromosome flow sorter using a fluid drive system, a nozzle with an orifice having a small ratio of length to diameter, and mechanism for vibrating the nozzle along its axis at high frequencies. The orifice is provided with a sharp edge at its inlet, and a conical section at its outlet for a transition from a short cylindrical aperture of small length to diameter ratio to free space. Sample and sheath fluids in separate low pressure reservoirs are transferred into separate high pressure buffer reservoirs through a valve arrangement which first permit the fluids to be loaded into the buffer reservoirs under low pressure. Once loaded, the buffer reservoirs are subjected to high pressure and valves are operated to permit the buffer reservoirs to be emptied through the nozzle under high pressure. A sensor and decision logic is positioned at the exit of the nozzle, and a charging pulse is applied to the jet when a particle reaches a position further downstream where the droplets are formed. In order to adjust the timing of charge pulses, the distance between the sensing station at the outlet of the nozzle and the droplet breakoff point is determined by stroboscopic illumination of the droplet breakoff region using a laser and a revolving lucite cylinder, and a beam on/off modulator. The breakoff point in the region thus illuminated may then be viewed, using a television monitor.
Business Decision making using Data Science (2022)

Several organizations started to adopt the strategy to have data scientist professionals to help them identify the true value of the cost vs benefits and since data science is on fire for a quite long time, adopting the same comes in handy for several factors. i.e., investment, net profit, etc. At the same time, the clarity is missing around what data science is and this tends to introduce the concept of unambiguous theory or assumptions. In this research, we are aiming to pin down the fact of what data science is and how it can lead to crucial decision-making using a data-driven approach. We firmly believe that the accurate limitations of data science scope cannot be defined due to its vast possibilities. If the business wants to align themselves using the data science by understanding the true potential, the following needs to be underlined: 1) understand the importance of related concepts using the relationship approach, 2) identify how fundamental principles of data science can be useful for the different business use case, 3) Identify what the data science can offer depending on our requirement. In this research, we offer a decision-making solution for businesses using the underlying data science principles.
What brought us here? (2014)

The world has become information-driven, with many facets of business and government being fully automated and their systems being instrumented and interconnected. On the one hand, private and public organizations have been investing heavily in deploying sensors and infrastructure to collect readings from these sensors, on a continuous basis. On the other hand, the need to monitor and act on information from the sensors in the field to drive rapid decisions, to tweak production processes, to tweak logistics choices, and, ultimately, to better monitor and manage physical systems, is now fundamental to many organizations.
Supplementary Figure 2 from Cell Surface Delivery of TRAIL Strongly Augments the Tumoricidal Activity of T Cells (2023)

&lt;p&gt;PDF file - 324K&lt;/p&gt;
Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions (2015)

Idiosyncratic drug reactions (IDRs) are rare, somewhat dose-independent, patient-specific and hard to predict. Human leukocyte antigens (HLAs) are the major histocompatibility complex (MHC) in humans, are highly polymorphic and are associated with specific IDRs. Therefore, it is important to identify potential drug-HLA associations so that individuals who would develop IDRs can be identified before drug exposure. We harvested the associations between drugs and class I HLAs from the literature. The results revealed that there are many drug-HLA pairs without clinical data. For better potential interactions of the drug-HLA pairs, molecular docking was used to explore the potential of associations between the drugs and HLAs. From the analysis of docking scores between the 17 drugs and 74 class I HLAs, it was observed that the known significantly associated drug-HLA pairs had statistically lower docking scores than those not reported to be significantly associated (t-test p < 0.05). This indicates that molecular docking could be utilized for screening drug-HLA interactions and predicting potential IDRs. Examining the binding modes of drugs in the docked HLAs suggested several distinct binding sites inside class I HLAs, expanding our knowledge of the underlying interaction mechanisms between drugs and HLAs.
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers (2020)

Analog-to-digital conversion allows physical signals to be processed using digital hardware. This conversion consists of two stages: Sampling, which maps a continuous-time signal into discrete-time, and quantization, i.e., representing the continuous-amplitude quantities using a finite number of bits. This conversion is typically carried out using generic uniform mappings that are ignorant of the task for which the signal is acquired, and can be costly when operating in high rates and fine resolutions. In this work we design task-oriented analog-to-digital converters (ADCs) which operate in a data-driven manner, namely they learn how to map an analog signal into a sampled digital representation such that the system task can be efficiently carried out. We propose a model for sampling and quantization which both faithfully represents these operations while allowing the system to learn non-uniform mappings from training data. We focus on the task of symbol detection in multiple-input multiple-output (MIMO) digital receivers, where multiple analog signals are simultaneously acquired in order to recover a set of discrete information symbols. Our numerical results demonstrate that the proposed approach achieves performance which is comparable to operating without quantization constraints, while achieving more accurate digital representation compared to utilizing conventional uniform ADCs.
Bacillus anthracis but not always anthrax (1992)

Gram-positive bacilli isolated during epidemiological investigations which, on the basis of conventional tests, resemble Bacillus anthracis but which fail to produce the capsule or to induce anthrax in test animals have long been dismissed in clinical and veterinary laboratories as B. cereus or simply as unidentified Bacillus spp. and thereupon discarded as inconsequential. In this study, the application of newly available DNA probe, polymerase chain reaction and specific toxin antigen detection technology has revealed that a proportion of such strains are B. anthracis which lack the plasmid carrying the capsule gene (pXO2). While these techniques cannot, of course, be used to confirm the identities of strains resembling B. anthracis but which also lack the plasmid carrying the toxin genes (pXO1), the likelihood that these also are bona fide B. anthracis becomes more acceptable. (As yet no naturally occurring pXO1-/2+ strains have been found.) At this point, the significance of the presence of such avirulent forms of B. anthracis in specimens can only be a subject for speculation, but the possibility that they may be indicators of virulent parents somewhere in the system being examined must be considered.
Extraction Algorithms for Hierarchical Header Structures from Spreadsheets. (2016)

Spreadsheets are widely used to manage statistical data, and a massive amount of valuable spreadsheets are now public as open data. Spreadsheet headers may contain hierarchical structures, and values in spreadsheets are associated with not only headers at the same column or row but also those corresponding to their ancestors. When integrating spreadsheets with other datasets, it is necessary to extract hierarchical header structures and associate this information with values. In this paper, we propose three algorithms to extract hierarchical structures from spreadsheets based on the relation of values. Since our algorithms are focused only on values, they can be applied to heterogeneous spreadsheets such that the structures of row or column headers are not explicitly in
Advances in the Management of Myelofibrosis (2012)

Significant advances have been made in understanding the pathophysiology of MF, leading to novel therapeutic approaches. The discovery of the JAK2 mutation and the development of JAK2 inhibitors provide clinicians with a new effective treatment option. Ruxolitinib is the first JAK1/2 inhibitor approved by the Food and Drug Administration (FDA) for the treatment of patients with intermediate- or high-risk MF. In clinical studies, ruxolitinib produced a significantly greater reduction in spleen size and improved quality of life compared with placebo or best available therapy. Several future therapies, including combination therapies with ruxolitinib, are currently under investigation.
Controlling Single Molecule Conductance by a Locally Induced Chemical Reaction on Individual Thiophene Units (2020)

Among the prerequisites for the progress of single-molecule-based electronic devices are a better understanding of the electronic properties at the individual molecular level and the development of methods to tune the charge transport through molecular junctions. Scanning tunneling microscopy (STM) is an ideal tool not only for the characterization, but also for the manipulation of single atoms and molecules on surfaces. The conductance through a single molecule can be measured by contacting the molecule with atomic precision and forming a molecular bridge between the metallic STM tip electrode and the metallic surface electrode. The parameters affecting the conductance are mainly related to their electronic structure and to the coupling to the metallic electrodes. Here, the experimental and theoretical analyses are focused on single tetracenothiophene molecules and demonstrate that an in situ-induced direct desulfurization reaction of the thiophene moiety strongly improves the molecular anchoring by forming covalent bonds between molecular carbon and copper surface atoms. This bond formation leads to an increase of the conductance by about 50 % compared to the initial state.
Resource Allocation for Cognitive Satellite Communications With Incumbent Terrestrial Networks (2015)

The lack of available unlicensed spectrum together with the increasing spectrum demand by multimedia applications has resulted in a spectrum scarcity problem, which affects satellite communications (SatCom) as well as terrestrial systems. The goal of this paper is to propose resource allocation (RA) techniques, i.e., carrier, power, and bandwidth allocation, for a cognitive spectrum utilization scenario where the satellite system aims at exploiting the spectrum allocated to terrestrial networks as the incumbent users without imposing harmful interference to them. In particular, we focus on the microwave frequency bands 17.7–19.7 GHz for the cognitive satellite downlink and 27.5–29.5 GHz for the cognitive satellite uplink, although the proposed techniques can be easily extended to other bands. In the first case, assuming that the satellite terminals are equipped with multiple low block noise converters (LNB), we propose a joint beamforming and carrier allocation scheme to enable cognitive space-to-Earth communications in the shared spectrum where fixed service (FS) microwave links have priority of operation. In the second case, however, the cognitive satellite uplink should not cause harmful interference to the incumbent FS system. For the latter, we propose a joint power and carrier allocation (JPCA) strategy followed by a bandwidth allocation scheme, which guarantees protection of the terrestrial FS system while maximizing the satellite total throughput. The proposed cognitive satellite exploitation techniques are validated with numerical simulations considering realistic system parameters. It is shown that the proposed cognitive exploitation framework represents a promising approach for enhancing the throughput of conventional satellite systems.
Conversion of monoalkyl olefins to 1,1-dialkyl olefins by reaction with bis(cyclopentadienyl)titanium dichloride-trialkylaluminum (1979)

ADVERTISEMENT RETURN TO ISSUEPREVArticleConversion of monoalkyl olefins to 1,1-dialkyl olefins by reaction with bis(cyclopentadienyl)titanium dichloride-trialkylaluminumJames J. Barber, Carl Willis, and George M. WhitesidesCite this: J. Org. Chem. 1979, 44, 20, 3603–3604Publication Date (Print):September 1, 1979Publication History Published online1 May 2002Published inissue 1 September 1979https://pubs.acs.org/doi/10.1021/jo01334a042https://doi.org/10.1021/jo01334a042research-articleACS PublicationsRequest reuse permissionsArticle Views201Altmetric-Citations35LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Influence of organoclay dispersed state of poly(ethylene glycol‐co‐1,3/1,4‐cyclohexanedimethanol terephthalate)/organoclay nanocomposites on their characteristics (2010)

Abstract This work prepared poly(ethylene glycol‐co‐1,3/1,4‐cyclohexanedimethanol terephthalate) (PETG)/organoclay nanocomposites via a melt intercalation process and investigated the influences of organoclay aspect ratio and organoclay content on the dispersed state, mechanical, thermal, gas barrier, and heat recovery properties of PETG/organoclay nanocomposites. X‐ray diffraction (XRD) and transmission electron microscopic analyses showed that the organoclay dispersed in the polymer matrix with intercalation in the nanometer scale range. Differential scanning calorimetry (DSC) analysis demonstrated that all of the obtained nanocomposites were amorphous, indicating that the addition of organoclay did not affect the amorphous nature of PETG. The gas barrier properties of the nanocomposites improved with organoclay content and the properties were also affected by the organoclay aspect ratio. Water vapor and oxygen transmission rates (OTRs) of PETG/organoclay nanocomposites containing 3 phr Cloisite 15A, and 3 phr modified polymer grade Na‐montmorillonites (MPGN) were the lowest among the samples tested, and were 41.7 and 44.3%, respectively, of those of neat PETG. Similar organoclay content‐ and aspect ratio‐related effects were observed in the mechanical and heat recovery properties of the tested nanocomposites. Copyright © 2010 John Wiley &amp; Sons, Ltd.
Taffix® Nasal Powder Spray Forms an Effective Barrier Against Infectious New Variants of SARS-Cov-2 (Alpha, Beta and Delta) (2021)

While vaccination efforts against SARS-CoV-2 around the world are ongoing, new highly infectious virus variants continue to evolve. The protection provided by the available vaccines against some of the new variants is weaker. Additional preventive measures will therefore be needed to protect the population until effective vaccinations are widely available. TaffiX® is an anti-viral nasal powder spray comprised of low-pH hypromellose, which forms a protective mechanical barrier that prevents viruses from engaging with nasal cells. The current study aimed to test the protective effect of TaffiX® against SARS-CoV-2 Alpha (B.1.1.7; hCoV-19/Israel/CVL-46879-ngs/ 2020), Beta, (B.1.351; hCoV-19/Israel/CVL-2557-ngs/2020) and Delta (B.1.617.2; hCoV-19/Israel/ VVL-12806/2021), three highly infectious and pathogenic SARS-CoV-2 strains. A nylon filter was treated with Taffix® gel, after which SARS-CoV-2 Alpha, Beta or Delta was seeded. After a 10-min incubation, the downstream side of each filter was washed, and the rinse was collected and placed over Vero-E6 cells. After 5 days of incubation, viral RNA was extracted and subjected to SARS-CoV-2 RT-PCR analysis. Taffix® fully blocked passage of all three tested SARS-CoV-2 variants, as demonstrated by a 100% reduction of recoverable viral RNA from Vero-E6 cells, as compared to cells treated with rinse from filters not treated with Taffix(R). These results support its use as an effective barrier against new variants of SARS-CoV-2 in conjunction with other protective measures.
A noninvasive method to measure splanchnic glucose uptake after oral glucose administration. (1995)

We have developed a noninvasive method to estimate splanchnic glucose uptake (SGU) in humans (oral glucose clamp technique [OG-CLAMP]), which combines a hyperinsulinemic clamp with an oral glucose load (oral glucose tolerance test). We validated this method in 12 nondiabetic subjects using hepatic vein catheterization (HVC) during an oral glucose tolerance test. During HVC, splanchnic blood flow increased from 1,395 +/- 64 to 1,935 +/- 109 ml/min, returning to basal after 180 min and accounted for 45 +/- 7% of SGU in lean and 19 +/- 5% in obese subjects (P < 0.05). SGU estimated during the OG-CLAMP was 22 +/- 2% of the glucose load, and this was significantly correlated (r = 0.90, P < 0.0001) with SGU (35 +/- 4%) and with first pass SGU (24 +/- 3%; r = 0.83, P < 0.001) measured during HVC. SGU was higher in obese than in lean subjects during OG-CLAMP (27 +/- 1% vs 18 +/- 3%, P < 0.01) and HVC (44 +/- 4% vs 26 +/- 5%, P < 0.05). In conclusion, SGU during the OG-CLAMP is well correlated to SGU measured during HVC. An increase in splanchnic blood flow is a major contributor to SGU in lean subjects. SGU is increased in obese subjects as measured by both methods.
Crash Testing and Evaluation of Work Zone Barricades (1998)

Proper traffic control and delineation are critical to achieving safety in work zones. However, the work zone traffic control devices themselves may pose a safety hazard to vehicle occupants or work crews when impacted by errant vehicles. Thus, there was a need to research the safety performance of work zone traffic control devices to ensure that they perform satisfactorily and meet NCHRP Report 350 guidelines. Several research studies sponsored by the Texas Department of Transportation evaluated the impact performance of various work zone traffic control devices, such as temporary and portable sign supports, plastic drums, sign substrates for use with plastic drums, traffic cones, and vertical panels. Specifically addressed are the studies on barricades. Standard wooden barricade construction was found to be unacceptable due to a demonstrated potential for intrusion of fractured members into the occupant compartment. In response to deficiencies identified in the wooden barricade tests, several alternate barricade designs were developed and successfully tested.