Miracle-dz/UniFAR-FTUs huggingface dataset:
67 Cu- versus 131 I-Labeled Lym-1 Antibody: Comparative Pharmacokinetics and Dosimetry in Patients with Non-Hodgkin’s Lymphoma 1

Antilymphoma mouse monoclonal antibody (MoAb) Lym-1, labeled with 67 Cu or 131 I, has demonstrated promising results in radioimmunotherapy (RIT) for lymphoma. Although 131 I has played a central role in RIT thus far, some properties of 67 Cu are preferable. A subset of our patients received both 67 Cu- and 131 I-labeled Lym-1, allowing a comparative evaluation of the two radiopharmaceuticals administered to a matched population of patients. Four patients with B-lympho-cytic non-Hodgkin’s lymphoma that had progressed despite standard therapy entered trials of 67 Cu- and 131 I-labeled Lym-1, which were injected 3–26 days apart. Lym-1 was conjugated to 6-[ p -(bromoacetamido)benzyl]-1,4,7,11-tetraaza-cyclotetradecane- N,N * ,N ** ,N - - tetraacetic acid (BAT) via 2-iminothiolane (2IT) and radiolabeled with 67 Cu to prepare 67 Cu-2IT-BAT-Lym-1; 131 I-Lym-1 was preparred by the chloramine-T reaction. Planar imaging was used to quantitate 67 Cu-2IT-BAT-Lym-1 or 131 I-Lym-1 in organs and tumors daily for 3 days or longer. 67 Cu-2IT-BAT-Lym-1
Her-2/neu-derived Peptides Are Tumor-associated Antigens Expressed by Human Renal Cell and Colon Carcinoma Lines and Are Recognized by in Vitro Induced Specific Cytotoxic T Lymphocytes1

The Her-2/neu oncogene encodes a ,U, 185,000 transmembrane protein with homology to the epidermal growth factor receptor. It is overexpressed in 30-40% of breast and ovarian cancers, and this overexpression was shown to correlate with aggressiveness of malignancy and poor prognosis. Using tumor-associated lymphocytes isolated from patients with ovarian or breast cancer, several HLA-A2-restricted, Her-2/neuderived peptides were identified. Further studies revealed that these tu mor-associated CTLs can also lyse other tumors, including non-small cell lung and pancreatic cancer cells, suggesting that Her-2/neu epitopes are shared between several distinct types of epithelial tumors. To analyze whether Her-2/neu epitopes are tumor-associated antigens for renal cell carcinoma (RCC) and colon carcinoma, we induced Her-2/neu peptidespecific CTL responses by primary in vitro immunization and used these CTLs to determine the presentation of Her-2/neu epitopes on human tumor lines. Autologous dendritic cells (DCs) generated from peripheral blood monocytes were pulsed with Her-2/neu-derived peptides E75 and GP2 and used as antigen-presenting cells for CTL priming. High CTL activity toward peptide-pulsed targets was obtained after two weekly restimulations. CTLs induced with DCs generated in the presence of I M n elicited a higher cytotoxic activity when they were stimulated with the cognate peptide than did CTLs induced with DCs grown in granulocyte macrophage colony-stimulating factor and interleukin 4 alone. The cytotoxicity of induced CTLs was antigen specific and HLA-A2 restricted. Furthermore, these CTLs lysed, in a MHCand antigen-restricted fash ion, not only breast cancer cells but also colon carcinoma and RCC cell lines expressing Her-2/neu. The cytotoxic activity against tumor cells was blocked by cold HLA-A2-positive targets pulsed with the cognate peptide in cold target inhibition assay and by anti-HLA-A2 monoclonal Ab. These results suggest that epitopes derived from Her-2/neu protein might be attractive candidates for broadly applicable vaccines and may prove useful for adoptive immunothÃ©rapies designed for colon carcinoma or RCC.
Improvement The Physicochemical, Sensory and Microbiological Properties of Sweet Sorghum Syrup

The present work was carried out to evaluate four types of sweet sorghum syrup made from Mn 4080 sweet sorghum variety either alone or with one of three herbal extracts (tumeric, cinnamon and ginger) for the physicochemical, sensory and microbiological properties. The results indicated that sweet sorghum syrup contained cinnamon extract had the highest percentages of sugar profile, tannins, total phenolics, antioxidant activity and minerals (K, Ca and Fe). Moreover, purity and the degree of browning and darkening were increased. Organoleptically, syrup contained cinnamon extract had the highest score in the overall acceptance as compared with the other sorghum syrup types. The results also showed that extracts cinnamon herb played a good role in shelf-life stability during storage period at 25 ± 2°C up to 9 months. The present work suggests that the cinnamon extracts can be used as an antioxidant and to improve the palatability of sorghum syrup. Keyword: Sweet sorghum syrup, herbs extract, physicochemical, sensory and microbial counts.
Cervical mucus sialic acid content determines the progression of thawed ram sperm through the cervix.

The aim of this study was to investigate the properties and to functionally characterise the cervical mucus that modulates sperm transport through the cervix by using ewe breeds with a divergent pregnancy rate (Belclare and Suffolk; high and low, respectively) following cervical insemination using frozen-thawed semen. Sperm number, as well as sialic acid and fucose content in both the channels and in the lumen of different regions of the cervix were quantified in inseminated Belclare and Suffolk ewes. Expression of glycosyltransferase and MUC genes, glycosidase activity and sialic acid speciation in follicular phase cervical tissue and mucus were assessed. More spermatozoa were found in the cervical channels in the region closest to the cervical os in Belclare than Suffolk ewes (P<0.05) and Suffolk ewes had a higher sialic acid content in the cervical channels than Belclare ewes (P<0.05) in all regions of cervix. Suffolk ewes had significantly higher expression of FUT1, ST6GAL1 and MUC5AC than Belclare ewes. There was no difference between the breeds in glycosidase activity (P>0.05). Levels of Neu5Ac were higher in Belclare than Suffolk ewes (P<0.05) and levels of Neu5Gc was higher in Suffolk than Belclare ewes (P<0.05). Competitive sperm penetration assays demonstrated that frozen-thawed sperm progression increased when cervical mucus was incubated with sialyllactose prior to a sperm penetration test (P<0.05). These results suggest that the difference between Belclare and Suffolk ewes in sperm transport with frozen-thawed semen is due to the higher concentration of sialic acid within channels, which binds to spermatozoa and reduces their ability to traverse the cervix.
fl-Hexosaminidase Isozymes in Human Colonic Carcinoma1

We have utilized the relatively high levels of histochemi cally demonstrable glucosaminidase in the epithelial cells of human colonic carcinoma as an aid for the identification of these cells in suspensions of cells obtained from colonic carcinomas (9). When spectrophotometnic assays were pen formed, it was found that purified epithelial cells from co Ionic carcinoma had higher f3-glucosaminidase activity per cell than other types of cells (blood cells and stromal cells) in the carcinomas (9). In this paper, we compare the /3hexosaminidase activity obtained from normal human co Ionic mucosa to that obtained from colonic carcinomas. Although we were unable to demonstrate any kinetic differ ences between the enzyme from normal tissue and carcino mas, we did find that human colonic carcinomas contain a higher proportion of f3-hexosaminidase B activity than that of the A form.
Pronunciation Problems among Saudi Learners: A Case Study at the Preparatory Year Program, Najran University Saudi Arabia

This study attempts to investigate the difficulties Saudi students encounter when pronouncing certain English consonant sounds. All participants in the study are adults who graduated from secondary schools and joined the Preparatory Year Program at Najran University. The participants have never been to any of the English speaking countries, so they do not have any kind of exposure to a native English environment. The results show that the Arabic speakers in this study had difficulties in pronouncing certain English consonant sounds, such as: /p/, /d/, /v/, /tʃ/, /ʒ/, and /ŋ/. This study also provides an insight and assists ESL/EFL teachers with some helpful suggestions and teaching strategies that will reduce future problems regarding English consonant pronunciation among Arab learners.
Operations expenditure modelling of the X-Rotor offshore wind turbine concept

O&M of an offshore wind farm is becoming increasingly challenging as farms are being commissioned further from shore. Weather windows are more difficult to navigate leading to longer downtime for turbines. The X-Rotor offshore wind turbine concept directly tackles these O&M challenges by, amongst other advantages, removing the requirements for components that have traditionally contributed high failure rates, repair times and downtimes, and by placing the heavy and expensive machinery closer to sea level. The turbine also benefits from having modular small rotors that can be quickly replaced and repaired onshore, and being able to operate at reduced capacity when there are failures in the modular rotors. This paper presents the StrathX-OM OpEx model. This model features changes to OpEx modelling that will allow for comprehensive analysis of the operations and maintenance costs for a wind farm made up of radical X-Rotor wind turbines with the flexibility to handle changing designs as the technology progresses. The calculation of lifetime O&M costs for a wind farm 100 km from shore showed that the X-Rotor has lower O&M costs than conventional HAWTs for an established design. A sensitivity study on the estimated failure rates of X-Rotor is also presented. This shows that even with significantly over-estimated failure rates the X-Rotor would still be competitive in today’s market.
Observation of four Fermi-Pasta-Ulam-Tsingou recurrences in an ultra-low-loss optical fiber

: We report the experimental observation of more than four Fermi-Pasta-Ulam-Tsingou recurrences in an optical ﬁber thanks to an ultra-low loss optical ﬁber and to an active loss compensation system. We observe both regular (in-phase) and symmetry-broken (phase-shifted) recurrences, triggered by the input phase. Experimental results are conﬁrmed by numerical simulations.
Brain Tumor Image Segmentation Based on Grouped Convolution

The automatic segmentation of MRI multi-modal images of brain tumors is one of the important research contents of disease detection and analysis. Due to the heterogeneity of tumors, it is difficult to achieve efficient and accurate automatic segmentation of brain tumors. Traditional segmentation methods based on machine learning cannot handle complex scenes such as complex edges and overlapping categories. In clinical assisted diagnosis, it is of great significance to apply deep learning to two-dimensional natural image segmentation and three-dimensional medical image segmentation. In this paper, we propose a three-dimensional network model to achieve precise segmentation of brain tumors. The model adopts an encoder-decoder structure and replaces ordinary convolution with grouped convolution to reduce network parameters and improve network performance. The model improves the problem of information exchange between different groups through channel mixing. Experiments conducted on the BraTS (Brain Tumor Segmentation) 2018 challenge dataset prove that our network greatly reduces the computational cost while ensuring segmentation accuracy.
Stability analysis of vortex-induced vibrations on wind turbines

A parked wind turbine can be subjected to large yaw angles, which causes vortex shedding. Under some particular inflow conditions, the interaction between the shed vorticity and the blade structure could lead to Vortex-Induced Vibrations (VIV). VIV are an instability where the response grows until it reaches a limit cycle oscillation. In this paper, we will focus on this last part of the response. We will see that the shedding makes the aeroelastic system linear time-periodic, and study its stability with Floquet theory. We will use high-fidelity simulations of different inflow conditions, and quantify the stability of the system using a model-free approach.
Enhanced resource assessment and atmospheric monitoring of the research wind farm WiValdi

Prior to the installation of wind turbines at the Krummendeich research wind farm (referred to as WiValdi) which is developed by the German Aerospace Center (DLR), we conducted measurements with a Doppler wind lidar (DWL) and a microwave radiometer (MWR) for 16 months, starting in November 2020. The remote sensing data was validated against radiosonde measurements in a short-term campaign in September 2021. We present a statistical analysis of wind speed, direction, shear and veer as derived from the DWL as well as static stability from temperature retrievals of the MWR in comparison to model results of the New European Wind Atlas (NEWA). The observational data from 2021 shows a higher occurence rate of winds from northwest in comparison to the longer-term statistics of NEWA (2011-2018). From the overall statistics, cases with the occurence of low-level jets (LLJ) are detected and separated. The LLJs appear in 49% of the observed nights and predominantly in conditions with seaward wind direction. The LLJ increases shear and veer in the rotor swept area and thus the potential loads significantly. Future research at WiValdi will allow to analyse the effects of such load cases on the wind turbines in detail.
POD analysis of the wake dynamics of an offshore floating wind turbine model

The wake dynamics of a floating wind turbine model experiencing realistic surge motion and immersed within a properly scaled atmospheric boundary layer is studied through wind tunnel experiments. The turbine is modelled by a porous disk representing the floating 2MW wind turbine located at the offshore test site in Le Croisic (France). Experiments were conducted in the LHEEA’s atmospheric wind tunnel. A surge motion is imposed on the model, using a linear actuator, to replicate realistic behaviors under wave swell. Realistic frequencies of actuation are considered to study their effects on the wake properties. The wake is characterized using Stereoscopic Particle Image Velocimetry (SPIV) measurements in a y - z plane normal to the flow, at two different streamwise locations x = 4.6D and 8.1D. In addition to the documentation of the main wake statistics, the velocity fields are analyzed using Proper Orthogonal Decomposition (POD). The velocity field is decomposed into a set of spatial and temporal modes. The eigenvalues convergence is shown to be relatively slow, due to the high Reynolds number turbulent boundary layer within which the model is immersed. When varying the surge motion frequency, the spatial modes do not show any significant change in shape and amplitude. However, the spectral analysis performed on the temporal modes shows the emergence of peaks at the surge motion frequency and the overall increase of the low-frequency energy content in the Power Spectral Density, in particular for the highest frequencies of motion tested.
Numerical Assessment of a BAY-Type Model for different Vortex Generator Shapes Applied on a Wind Turbine Airfoil

Modern wind turbines are increasingly equipped with vortex generators in the inner part of the rotor blade. On large blades it is usual to install hundreds of these small passive devices to delay flow separation. Therefore, affordable numerical methods to include vortex generators in the design process are required. One very promising method based on the addition of source terms in the flow equations is the BAY model. In this work a BAY-type model is presented and assessed for three different vortex generator shapes (rectangular, delta and cropped-delta) placed on a DU 97-W-300 airfoil and computed with steady-state Reynolds-averaged Navier-Stokes numerical methods. In order to quantify the circulation of the main streamwise vortex, a method to identify the vortex core based on the λ2-criterion is presented and shows good results. The computations reveal very good agreement with the experimental data for attached flow in terms of lift and pressure distribution while drag is inherently underestimated by the BAY model due to the inviscid modelling of the vortex generators. It is displayed that this underestimation is proportional to the vortex generator surface area. Concerning the different shapes, it is shown that the delta shape reveals larger deviations from the fully resolved case than the other geometries and therefore requires higher mesh resolution.
The Path from Lean Manufacturing to Lean Construction: Implementation and Evaluation of Lean Assembly

Since the early 1990's, the US construction industry has taken interest in the application of lean production as a new theoretical framework. The IGLC has provided a new set of tools to improve project performance measures (e.g., productivity, quality, and safety). This article compares the techniques developed for lean assembly with those of lean manufacturing. It also introduces an assessment tool implemented by a general construction project in Ohio, USA. This assessment tool comprises six elements: Last Planner, Increased Visualization, Huddle Meetings, First Run Studies, FiveS's, and Fail-Safe for Quality. The successful understanding and impact of this tool emphasizes the need for a simple and comprehensive approach that is transferable to any construction project.
Wind tunnel investigation of the wake-flow response for a floating turbine subjected to surge motion

Floating wind turbines undergo large translation motions allowed by the high compliancy of the support structure. Large motions affect the rotor aerodynamic response and wake. This paper examines wake measurements of a wind tunnel experiment with a scale model of the DTU 10MW subjected to imposed harmonic surge motion. The effect of surge motion on the wake is detected by means of spectral analysis of velocity data. It is found that when the rotor undergoes surge motion, periodic forcing is introduced into the fluid, which produces a harmonic variation of the wake speed. The velocity perturbation around the rotor is then convected downstream at about the average axial velocity in the wake. The amplitude of the velocity pulsation at 2.3D is radially-dependent, and is correlated to the amplitude of the variation of the normal-force distribution along the blade.
Performance assessment of wake mitigation strategies

Many control strategies have emerged in the field of wind energy to address wake interaction effects and try to maximize wind farm power production. They rely either on wake redirection or on induction control. While wake redirection is easily performed by yawing the turbine, efficient and practically deployable induction control is not as straightforward. Recent studies paved the way with periodic dynamic induction control (PDIC), a strategy that generates pulsatile patterns in the wake and increases wake remixing. This study aims at further investigating the physics behind PDIC through large eddy simulations at high resolution. Results show the wake shear layer destabilization leading to the pulsatile wake. This paper also presents a comprehensive comparison between greedy control, PDIC and static yaw. It focuses both on power and loads at the scale of a pair of in-line turbines. It shows that PDIC significantly increases fatigue loads and leads to moderate power gains, while properly oriented yaw leads to fatigue load reduction on the upstream turbine and noticeable increase of the power production.
Floating wind turbine control optimization

We present a framework for optimizing the control parameters of floating offshore wind turbines (FOWTs). The framework combines aeroelastic simulations with a systems engineering model and control software. In an example of the optimization framework, we minimize tower damage equivalent loading with generator speed constraints. We also study the effect of thrust-limiting control and quantify the trade off between fatigue loading and energy capture using a set of optimal controller designs. Finally, we optimize the controller of four different FOWT models and compare their dynamic responses. Additional details and other use cases for the framework are presented, which can optimize different control problems and evaluate FOWT designs.
Life Cycle Environmental Impact of Wind Turbines: What are the Possible Improvement Pathways?

This study explores the effect of different technology choices on the life cycle Greenhouse Gases (GHG) emissions of wind turbines. It aims at identifying possible improvement pathways and quantifying potential benefits. First, an automated Life Cycle Assessment (LCA) model is developed and validated against other studies. The breakdown of the resulting Impact Of Energy (IOE) by life stages, components and materials is presented for a selected reference turbine. Sensitivity analyses are conducted on the different hypotheses to model the turbine life cycle. The model is then applied to analyze the potential effect of turbine size, foundation type, tower type, drivetrain technology, carbon-fiber blades and thermoplastic polymer resin for the blades. The tower type (especially wooden tower) and the thermoplastics (allowing to recover materials at the end-of-life) are identified to have the biggest potential to reduce the life cycle environmental impact of wind energy.
Reconstructing the bending moments time history of wind turbine tower from acceleration measurements using Gaussian processes

The proper estimation of the fatigue damage accumulated over time for a given wind turbine is a key information when evaluating the remaining lifetime of the structure. While the most obvious way to do so is to instrument the structure with strain gauges, not only this is a demanding task, it also only provides information about the sections that are being monitored. In this work we propose a new methodology to estimate the fatigue damage in any section of the tower based on the accelerations time series and a single instrumented section with strain gauges. We argue that accelerations and displacements of a linear structure under stochastic loading share a well defined covariance structure. This conclusion allow us to define a Monte Carlo Markov Chain (MCMC) algorithm to constrain the parameters that best describe this structure, as well as to use all the machinery associated with gaussian processes to convert accelerations into displacements, and these into bending moments. Using artificial experimental data obtained from a previously validated numerical model as input to our method, we obtained a good agreement between the simulated and reconstructed response. The results concerning fatigue damage were also in reasonable agreement, although presenting higher deviations that must be analysed in future studies.
Faster wind farm AEP calculations with CFD using a generalized wind turbine model

Wind farm Annual Energy Production (AEP) calculations are required to design energy efficient wind farm layouts. We investigate methods that can reduce the computational effort of AEP calculations using Reynolds-averaged Navier-Stokes simulations of an idealized atmospheric wind farm setup. In addition, we introduce a generalized wind turbine model that compares well with wind turbine aerodynamic data covering a large range of wind turbine sizes. We apply the general wind turbine model to reduce the computational effort of the AEP calculations by decreasing the number of independent wind speed flow cases. Furthermore, we apply Reynolds-number similarity to compute the wind speed flow cases faster and we show how wind farm layout mirror- and rotational-symmetry can reduce the number of independent wind direction flow cases.