gebhart/patrepeval huggingface dataset:
Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks (2018)

With accurate traffic prediction, future cellular networks can make self-management and embrace intelligent and efficient automation. This letter devotes itself to citywide cellular traffic prediction and proposes a deep learning approach to model the nonlinear dynamics of wireless traffic. By treating traffic data as images, both the spatial and temporal dependence of cell traffic are well captured utilizing densely connected convolutional neural networks. A parametric matrix based fusion scheme is further put forward to learn influence degrees of the spatial and temporal dependence. Experimental results show that the prediction performance in terms of root mean square error can be significantly improved compared with those existing algorithms. The prediction accuracy is also validated by using the data sets of Telecom Italia.
Mcl-1 Interacts with Akt to Promote Lung Cancer Progression (2019)

Mcl-1 is a unique antiapoptotic Bcl2 family protein that functions as a gatekeeper in manipulating apoptosis and survival in cancer cells. Akt is an oncogenic kinase that regulates multiple cellular functions and its activity is significantly elevated in human cancers. Here we discovered a cross-talk between Mcl-1 and Akt in promoting lung cancer cell growth. Depletion of endogenous Mcl-1 from human lung cancer cells using CRISPR/Cas9 or <i>Mcl-1</i> shRNA significantly decreased Akt activity, leading to suppression of lung cancer cell growth <i>in vitro</i> and in xenografts. Mechanistically, Mcl-1 directly interacted via its PEST domain with Akt at the pleckstrin homology (PH) domain. It is known that the interactions between the PH domain and kinase domain (KD) are important for maintaining Akt in an inactive state. The binding of Mcl-1/PH domain disrupted intramolecular PH/KD interactions to activate Akt. Intriguingly, Mcl-1 expression correlated with Akt activity in tumor tissues from patients with non-small cell lung cancer. Using the Mcl-1-binding PH domain of Akt as a docking site, we identified a novel small molecule, PH-687, that directly targets the PH domain and disrupts Mcl-1/Akt binding, leading to suppression of Akt activity and growth inhibition of lung cancer <i>in vitro</i> and <i>in vivo</i>. By targeting the Mcl-1/Akt interaction, this mechanism-driven agent provides a highly attractive strategy for the treatment of lung cancer. SIGNIFICANCE: These findings indicate that targeting Mcl-1/Akt interaction by employing small molecules such as PH-687 represents a potentially new and effective strategy for cancer treatment.
Propionate modulation of ruminal ketogenesis. (1996)

The ruminal epithelium is the primary source, through the metabolism of butyrate, of circulating ketone bodies in fed ruminants. Volatile fatty acid metabolism was investigated in short-term (2-h) incubations of isolated sheep ruminal epithelial cells. Ruminal epithelial cells were isolated from ruminal papillae via serial tryptic digestion. Cells were incubated in the presence of various combinations of butyrate (0, .5, 1, 5, 10, or 25 mM), propionate (0, .1, .5, 1, 5, 10, 25, 50, or 100 mM), acetate (0, .5, 1, 5, 25, 50, or 100 mM), and succinate (0, 5, 15, 50 mM) to evaluate the effects of these substrates on butyrate metabolism. Variables measured included beta-hydroxybutyrate (beta-HBA) and acetoacetate (AcAc) production from butyrate, [14C]butyrate oxidation to 14CO2, and lactate and pyruvate formation from propionate and succinate. Butyrate oxidation to CO2, beta-HBA and total ketones produced (nanomoles of butyrate metabolized per 10(6) cells per minute) were linear over the 2-h incubation period (y = .805X + 2.24, r2 = .78; y = 1.02X - 9.1, r2 = .72; and y = 2.238X - 11.76, r2 = .65, respectively). Acetate inhibited beta-HBA formation from butyrate (P < .05) when present at concentrations greater than 5 mM, although a dose-dependence was not consistently exhibited. However, butyrate oxidation to beta-HBA was stimulated (P < .05) by propionate while acetoacetate production declined (P < .05), resulting in no net change in ketone body production (P > .05). A concomitant increase in lactate and pyruvate production was noted with increasing concentrations of propionate. Succinate addition also increased lactate production by the ruminal epithelial cells. In contrast to propionate, succinate addition resulted in a decrease in beta-HBA formation from butyrate (P < .05). Butyrate metabolism by isolated ruminal epithelial cells is influenced by other VFA produced in the rumen, and propionate-induced stimulation of beta-HBA from butyrate does not seem to be mediated via succinate but rather is a result of a shift in the mitochondrial NADH/NAD status.
Low loss SiGe graded index waveguides for mid-IR applications (2014)

In the last few years Mid InfraRed (MIR) photonics has received renewed interest for a variety of commercial, scientific and military applications. This paper reports the design, the fabrication and the characterization of SiGe/Si based graded index waveguides and photonics integrated devices. The thickness and the Ge concentration of the core layer were optimized to cover the full [3 - 8 µm] band. The developed SiGe/Si stack has been used to fabricate straight waveguides and basic optical functions such as Y-junction, crossings and couplers. Straight waveguides showed losses as low as 1 dB/cm at λ = 4.5 µm and 2 dB/cm at 7.4 µm. Likewise straight waveguides, basic functions exhibit nearly theoretical behavior with losses compatible with the implementation of more complex functions in integrated photonics circuits. To the best of our knowledge, the performances of those Mid-IR waveguides significantly exceed the state of the art, confirming the feasibility of using graded SiGe/Si devices in a wide range of wavelengths. These results represent a capital breakthrough to develop a photonic platform working in the Mid-IR range.
Rule based processing of the CD4000, CD3200 and CD Sapphire analyser output using the Cerner Discern Expert Module (2008)

The latest version of our Laboratory Information System haematology laboratory expert system that handles the output of Abbott Cell-Dyn Sapphires, CD4000s and a CD3200 full blood count analyser in three high-volume haematology laboratories is described. The three hospital laboratories use Cerner Millennium Version 2007.02 software and the expert system uses Cerner Millennium Discern Expert rules and some small Cerner Command Language in-house programs. The entire expert system is totally integrated with the area-wide database and has been built and maintained by haematology staff members, as has the haematology database. Using patient demographic data, analyser numeric results, analyser error and morphology flags and previous results for the patient, this expert system decides whether to validate the main full blood count indices and white cell differential, or if the analyser results warrant further operator intervention/investigation before verifying, whether a blood film is required for microscopic review and if abnormal results require phoning to the staff treating the patient. The principles of this expert system can be generalized to different haematology analysers and haematology laboratories that have different workflows and different software.
A Neutralization Assay Based on Pseudo-Typed Lentivirus with SARS CoV-2 Spike Protein in ACE2-Expressing CRFK Cells (2021)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly pathogenic zoonotic virus that spreads rapidly. In this work, we improve the hitherto existing neutralization assay system to assess SARS-CoV-2 inhibitors using a pseudo-typed lentivirus coated with the SARS-CoV-2 spike protein (LpVspike +) and angiotensin-converting enzyme 2 (ACE2)-transfected cat Crandell-Rees feline kidney (CRFK) cells as the host cell line. Our method was 10-fold more sensitive compared to the typical human embryonic kidney 293T (HEK293T) cell system, and it was successfully applied to quantify the titers of convalescent antisera and monoclonal anti-spike antibodies required for pseudo virus neutralization. The 50% inhibition dilution (ID50) of two human convalescent sera, SARS-CoV-2 immunoglobulin G (IgG) and SARS-CoV-2 immunoglobulin M (IgM), which were 1:350 (±1:20) and 1:1250 (±1:350), respectively. The 50% inhibitory concentration (IC50) of the IgG, IgM and immunoglobulin A (IgA) anti-SARS-CoV-2 monoclonal antibodies (mAbs) against LpVspike(+) were 0.45 (±0.1), 0.002 (±0.001) and 0.004 (±0.001) µg mL<sup>-1</sup>, respectively. We also found that reagents typically used to enhance infection were not effective in the CFRK system. This methodology is both efficient and safe; it can be employed by researchers to evaluate neutralizing monoclonal antibodies and contribute to the discovery of new antiviral inhibitors against SARS-CoV-2.
Indigenous Plasmids from Phytopathogenic Corynebacterium Species (1979)

Efficient and reproducible cell lysis and the isolation of plasmid DNA from nine phytopathogenic Corynebacterium species is described. One to three plasmids, ranging from 23 to 77 megadaltons, were recovered from each strain, as detected by comparative agarose gel electrophoresis. Corynebacterium michiganense showed considerable plasmid diversity. Other species, such as C. nebraskense and C. insidiosum, did not. Bacteriocin production, colony morphology, pigmentation and virulence were not correlated with the presence of plasmids. Sedimentation through neutral and alkaline sucrose gradients and electrophoretic separation on agarose gels gave similar values for plasmid molecular weights. Log-linear alkaline sucrose gradients proved useful for molecular weight determinations and also for the isolation of purified plasmids on a preparative scale.
Targeting of activated fibroblasts for imaging and therapy (2019)

Tumors form a complex environment consisting of a variety of non-malignant cells. Especially cancer-associated fibroblasts have been shown to have an important role for different aspects of malignant tumors such as migration, metastasis, resistance to chemotherapy and immunosuppression. Therefore, a targeting of these cells may be useful for both imaging and therapy. In this respect, an interesting target is the fibroblast activation protein (FAP) which is expressed in activated fibroblasts, but not in quiescent fibroblasts, giving the opportunity to use this membrane-anchored enzyme as a target for radionuclide-based approaches for diagnosis and treatment of tumors and for the diagnosis of non-malignant disease associated with a remodelling of the extracellular matrix.
[Racemic guanidinothiazoles with H2-antihistaminic activity. 13 H2-antihistaminics]. (1983)

In studies on H2-antihistaminics with cyclic guanidine structure, side-chain branched racemic guanidinothiazoles were prepared and tested for their H2-antihistaminic activity on the isolated guinea-pig atrium. A simple synthesis of alpha-branched guanidinothiazoles is described. Of the prepared substances the racemic 14a, b in particular show high H2-antagonistic activity.
Conditional inactivation of FGF receptor 2 reveals an essential role for FGF signaling in the regulation of osteoblast function and bone growth (2003)

Human craniosynostosis syndromes, resulting from activating or neomorphic mutations in fibroblast growth factor receptor 2 (FGFR2), underscore an essential role for FGFR2 signaling in skeletal development. Embryos harboring homozygous null mutations in FGFR2 die prior to skeletogenesis. To address the role of FGFR2 in normal bone development, a conditional gene deletion approach was adopted. Homologous introduction of cre recombinase into the Dermo1 (Twist2) gene locus resulted in robust expression of CRE in mesenchymal condensations giving rise to both osteoblast and chondrocyte lineages. Inactivation of a floxed Fgfr2 allele with Dermo1-cre resulted in mice with skeletal dwarfism and decreased bone density. Although differentiation of the osteoblast lineage was not disturbed, the proliferation of osteoprogenitors and the anabolic function of mature osteoblasts were severely affected.
Polymer Gate Dielectrics and Conducting-Polymer Contactsfor High-Performance Organic Thin-Film Transistors (2002)

Organic thin-film transistors and circuits have been fabricated on glass and on flexible substrates, achieving carrier mobilities of 0.3 cm2 V–1 s–1 on glass. In particular, the authors investigate how the substitution of inorganic gate dielectrics and metals with solution-processed polymers affects the performance of the transistors. Two pentacene inverters on glass are shown in the Figure (see also cover).
Cloning of the gene encoding quinoprotein glucose dehydrogenase from Acinetobacter calcoaceticus: evidence for the presence of a second enzyme (1988)

We cloned the gene coding for the quinoprotein glucose dehydrogenase from Acinetobacter calcoaceticus. This clone complements gdh mutations in A. calcoaceticus, Pseudomonas aeruginosa, and Escherichia coli. The gene codes for a protein with an Mr of 83,000. Evidence is presented for the presence of two different glucose dehydrogenase enzymes in A. calcoaceticus: a protein with an Mr of 83,000 and a dimer of two identical subunits with an Mr of 50,000.
Body Posture as an Indicator of Workload in Mental Work (2012)

The proposed method of workload may be useful for real-time observations or the monitoring of mental states in mental work environments (e.g., rail traffic dispatching, air traffic control).
Intelligent Li Ion Battery Management Based on a Digital Signal Processor for a Moving Actuator Total Artificial Heart (1997)

An intelligent Li Ion battery management (ILBM) system was developed based on a digital signal processor (DSP). Instead of using relatively complicated hardware charging control, a DSP algorithm was used, and favorable characteristics in volume, mass, and temperature increase of the implantable battery were achieved. In vitro tests were performed to evaluate the DSP based algorithm for Li Ion charging control (24 V dc motor input power 16 W, 5 L/min, 100 mmHg afterload). In this article, the first improvement was volume reduction using a Li Ion battery (3.6 V/Cell, 900 mA, seven cells: 25.2 V, 22.7 W). Its volume and mass were decreased by 40% and 50% respectively (40*55*75 mm, 189 g), compared to previously reported results, with total energy capacity increased by 110% (more than 60 min vs 25 min run time in the other battery). The second improvement includes the ILBM, which can control the performance detection for each unit cell and has a low temperature rise. The ILBM's unit cell energy detection was important because the low performance of one cell dropped to 50% of the total performance along with a 20% increase in surface temperature. All electronics for a transcutaneous energy transmission (TET), battery, and telemetry were finalized for hybridization and used for total artificial heat (TAH) implantation.
Improvement of the Cycling Performance and Thermal Stability of Lithium-Ion Cells by Double-Layer Coating of Cathode Materials with Al<sub>2</sub>O<sub>3</sub> Nanoparticles and Conductive Polymer (2015)

We demonstrate the effectiveness of dual-layer coating of cathode active materials for improving the cycling performance and thermal stability of lithium-ion cells. Layered nickel-rich LiNi0.6Co0.2Mn0.2O2 cathode material was synthesized and double-layer coated with alumina nanoparticles and poly(3,4-ethylenedioxythiophene)-co-poly(ethylene glycol). The lithium-ion cells assembled with a graphite negative electrode and a double-layer-coated LiNi0.6Co0.2Mn0.2O2 positive electrode exhibited high discharge capacity, good cycling stability, and improved rate capability. The protective double layer formed on the surface of LiNi0.6Co0.2Mn0.2O2 materials effectively inhibited the dissolution of Ni, Co, and Mn metals from cathode active materials and improved thermal stability by suppressing direct contact between electrolyte solution and delithiated Li(1-x)Ni0.6Co0.2Mn0.2O2 materials. This effective design strategy can be adopted to enhance the cycling performance and thermal stability of other layered nickel-rich cathode materials used in lithium-ion batteries.
Expression Profiling of the Ovarian Surface Kinome Reveals Candidate Genes for Early Neoplastic Changes (2009)

A distinct subset of the ovarian surface kinome is altered in the transition from high risk to invasive cancer and genetic mutation is not a dominant mechanism for these modifications. These results have significant implications for early detection and targeted therapeutic approaches for women at high risk of developing ovarian cancer.
Influence of Curvature Feature on Laser Heating during Tape Placement Process for Carbon Fiber Reinforced Polyether Ether Ketone Composite (2023)

The curvature feature makes the irradiance and absorptivity change, resulting in an uneven power density distribution, which affects the quality of composite parts. In this study, a theoretical model-based Super-Gaussian profile beam in the laser irradiation area was established to obtain the heat flux distribution on the curved surface. The effect of curvature on the surface scattering reflection, temperature distribution, and surface morphology were investigated and verified the validity of the theoretical model. Furthermore, the influence of the laser intensity distribution, laser inclination and curvature radius on the power density distribution and distribution uniformity were studied. Research indicated that the power density increases as the distance from the origin increase resulting from the variation of the irradiance and absorptance along the circumference. The flatter the intensity distribution of the laser beam in the height direction, the less uniform the power density distribution. Accordingly, the typical Gaussian profile beam significantly ameliorates the power density distribution. This research provides a novel understanding of using heat sources during laser heating thermoplastic tape placement.
3-D object matching in the Hough space (2002)

An object-model matching approach is presented in this paper that considers the object in the scene being the result of a transformation (rotation and translation) from its model, both of which are represented by the edges and vertices of the surfaces. Features are extracted from range images so that information of edges and vertices are in 3-D space. To determine the rotation, each edge in the model is matched against every edge in the scene with the help of an arbitrarily pre-selected reference vector. Each such match determines a rotation matrix. Then, translation parameters are computed using the vertices of the edges using this rotation matrix. A 3-dimensional Hough space representing the three translation parameters is used for the translations from all possible rotations. The translation at the highest peak in the Hough space and its corresponding rotation are determined as the model-to-object transformation. The experiments indicate that the procedure is accurate and rather efficient.
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes (2005)

The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning method tends to be suboptimal due to the mismatch between its optimization criteria (data likelihood) and the actual goal for classification (label prediction). Recent approaches to optimizing the classification performance during parameter or structure learning show promise, but lack the favorable computational properties of maximum likelihood learning. In this paper we present the Boosted Augmented Naive Bayes (BAN) classifier. We show that a combination of discriminative data-weighting with generative training of intermediate models can yield a computationally efficient method for discriminative parameter learning and structure selection.
The Relationship between Price Competition and Mobilization Capability in Naval Shipbuilding and Repair. (1986)

The report considers the current competitive environment in and mobilization capability of the naval shipbuilding and repair base (NSARB) and includes assessments of (1) how competition and mobilization capability would each be affected by an increase in the number of shipyards in the NSARB, (2) alternative ways of achieving such an increase, and (3) options for maintaining the facilities and trained labor force of important yards whose future is in doubt. Any industry needs a given level of business to remain viable, though there can be purely internal considerations which sometimes govern the decision to remain in business. For shipbuilding, the trend has been to a slightly larger Navy program and no commercial work. In ship maintenance and repair, the tend is toward more Navy ships scheduled in a year, with less overall work required because of improved approach to maintenance management. Resources available are sufficient to meet current initial requirements, but long term wartime new construction would be constrained until supplier production increased. The Maritime Strategy articulated by this Administration, which underlies our pursuit of a 600-ship Navy, has been far more supportive of a modern and efficient shipbuilding and repair base than policies of previous administrations.
Natural killer cell receptors specific for major histocompatibility complex class I molecules. (1995)

in some cases, suggesting that the Ly-49family memberscould also behave as ac-tivation receptors (54). Detailed analysisofthespecificity ofLy-49familymembersshouldimproveourunderstanding ofNKcell specificity.In humans, activation receptors haveyet to be identified. However, substantialprogresshasbeenmadeonthefunctionofputative inhibitory receptors specific forHLAclass I molecules. Moretta andcol-leagues (55-57) have shown that mAbsGL183 and EB6 react with serologicallydistinct epitopes on molecules, termedp58, on human NKcells. Either epitopemay be expressed on 55-kDa or 58-kDamonomersoronnoncovalentlylinkedhet-erodimers
From Bias to Behavior: Predicting Prejudice Towards Autistic Individuals (2018)

The present study sought to examine university students’ judgments about and behavior towards an individual they perceived to be on the autism spectrum versus an individual who they perceived not to be. Furthermore, the study measured implicit and explicit biases towards autistic individuals and the implications those biases had for behaviors directed towards individuals they perceived were autistic. Participants (n = 112) completed the study in two separate research sessions, spaced several weeks apart. In Part 1 of the study, participants completed measures of implicit and explicit bias. In Part 2, participants were asked to discuss a neutral prompt with a confederate whom they believed had a diagnosis of Autism Spectrum Disorder or did not have this diagnosis. Following that interaction, participants rated their own behavior and their perceptions of the confederate. Trained research assistants coded non-verbal and verbal behaviors of the participants recorded during the interaction, including behaviors such as eye contact, arm openness, and smiling. Results indicated that participants who perceived more autistic traits in their interaction partner had more negative perceptions of their partner’s social ability and were less willing to interact with them further. Additionally, some prejudiced behaviors such as fidgeting or speech errors varied depending on whether the participant believed the confederate was autistic and, if so, whether they thought so based on a label of an autistic diagnosis or the presentation of behaviors consistent with autism stereotypes. Finally, participants demonstrated implicit and explicit biases against autistic individuals, although those biases did not predict overall behavior. This research helps enhance our understanding of prejudicial judgments and behaviors directed towards autistic individuals and discusses the implications for this prejudice on social and academic success of students with this diagnosis.