Processing Steps Research Articles

Transfer Learning-Based Physics-Informed Convolutional Neural Network for Simulating Flow in Porous Media with Time-Varying Controls

A physics-informed convolutional neural network (PICNN) is proposed to simulate two-phase flow in porous media with time-varying well controls. While most PICNNs in the existing literature worked on parameter-to-state mapping, our proposed network parameterizes the solutions with time-varying controls to establish a control-to-state regression. Firstly, a finite volume scheme is adopted to discretize flow equations and formulate a loss function that respects mass conservation laws. Neumann boundary conditions are seamlessly incorporated into the semi-discretized equations so no additional loss term is needed. The network architecture comprises two parallel U-Net structures, with network inputs being well controls and outputs being the system states (e.g., oil pressure and water saturation). To capture the time-dependent relationship between inputs and outputs, the network is well designed to mimic discretized state-space equations. We train the network progressively for every time step, enabling it to simultaneously predict oil pressure and water saturation at each timestep. After training the network for one timestep, we leverage transfer learning techniques to expedite the training process for a subsequent time step. The proposed model is used to simulate oil–water porous flow scenarios with varying reservoir model dimensionality, and aspects including computation efficiency and accuracy are compared against corresponding numerical approaches. The comparison with numerical methods demonstrates that a PICNN is highly efficient yet preserves decent accuracy.

Abstract PR-07: Optimally designed mRNA vaccine encoding tumor-specific antigens identified in a colorectal cancer model leads to complete tumor rejection in mice

Abstract mRNA vaccines can be designed to encode multiple epitopes of choice, which is a crucial advantage when aiming to include a broad coverage immune response. Upon translation, the cell machinery must process the vaccine-encoded poly-epitope protein to release individual peptides. This processing step is key in inducing an immune response toward selected epitopes, as efficient processing yields a higher amount of peptide available for MHC-I presentation. The efficiency of peptide processing is greatly influenced by the peptide surrounding context (i.e. the flanking amino acids in N-and C-terminal). Aberrantly expressed tumor-specific antigens (aeTSAs) are MHC-I-associated peptides (MAPs) resulting from cancer-specific epigenetic changes and splicing aberrations. In contrast to TSAs derived from mutated protein-coding exons, aeTSAs are highly shared by different tumors. Moreover, unlike commonly used tumor-associated antigens (TAAs), they are not expressed by normal healthy cells, which is pivotal for inducing strong CD8+ T cell responses. The present study aimed to determine whether RNA vaccines encoding aeTSAs would elicit protective anti-tumor responses against a colorectal cancer cell line model (MC38). We hypothesized that multiepitope mRNA vaccine efficacy would be improved if the mRNA construct was composed of minimal epitopes (here, cancer antigens) bordered by optimal (rather than natural) flanking sequences. Thus, we designed 2 vaccine constructs encoding 5 aeTSAs identified by mass spectrometry in MC38 tumor cells. The 2 constructs differ in the identity of the amino acids flanking the antigens (natural vs. substituted antigen flanking sequences). Mice were injected subcutaneously with MC38 cells on Day 0. Three mRNA vaccine doses were administered intravenously one week apart, starting at Day 4. Vaccination with our improved mRNA vaccine design showed a clear therapeutic effect. As opposed to the natural flanking sequences design resulting in delayed tumor growth, vaccination with the substituted flanking sequences design led to the complete elimination of tumors and the survival of all mice. Elispot and dextramer stainings revealed that at least 3 of the 5 MC38 aeTSAs were immunogenic and that the amplitude of antigen-specific CD8+ T cell responses was significantly higher in mice vaccinated with the substituted flanking sequences design. Our results confirm our hypothesis that highly proficient flanking regions have intrinsic benefits that can be carried over to different antigens. From a translational perspective, our work provides new insights into the therapeutic potential of optimally designed aeTSA-encoding mRNA vaccines for treating cancers. Citation Format: Marie-Pierre Hardy, Krystel Vincent, Gabriel Ouellet-Lavallée, Chantal Durette, Isabelle Caron, Joel Lanoix, Mathieu Courcelles, Jean-Philippe Laverdure, Pierre Thibault, Claude Perreault. Optimally designed mRNA vaccine encoding tumor-specific antigens identified in a colorectal cancer model leads to complete tumor rejection in mice [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2024 Oct 18-21; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2024;12(10 Suppl):Abstract nr PR-07.

NGOs Confront HIV/AIDS in Tanzania: Local Entrepreneurship Initiatives as Instantiations and Adaptations of Neoliberalism’s Global Discourse

ABSTRACT Non-governmental organizations (NGOs) have endured as an important response to HIV/AIDS. As nations of eastern and southern Africa currently have the highest adult HIV/AIDS prevalence rates, this study focused on NGOs headquartered in Tanzania. Although communication research on HIV/AIDS NGOs has spanned a variety of cultural contexts, theoretical traditions, and samples, research in nations of Africa has yet to situate these NGOs in a relevant global context. This study integrated discourse analysis and constant comparisons to examine how the discourses of 36 NGO leaders on their local HIV/AIDS initiatives are taking up neoliberalism, a global ideological discourse that valorizes free markets, individualism, and profits. Based on linkages forged between HIV/AIDS and poverty at multiple scales (the nation, rural areas, target groups, families), participants positioned entrepreneurship as a solution for poor clients, namely, a 4-step process of assisting clients with entrepreneurship, several entrepreneurship industries, and positive consequences for clients. The article concludes with a discussion and implications.

Event log extraction methodology for Ethereum applications

The adoption of smart contracts in decentralized blockchain-based applications enables reliable and certified audits. These audits allow the extraction of valuable information from blockchains, which can be used to reconstruct the execution of the application and facilitate advanced analyses. One of the most commonly used techniques in this context is process mining, which leverages event logs to trace and accurately represent the process execution of applications. However, extracting execution data from blockchains poses significant challenges, and the current methodologies developed have some limitations. Most approaches are tailored to specific use cases, requiring that analysis techniques are defined during the smart contract’s development. Other techniques are applied a posteriori, relying on blockchain events that often lack a standardized format. This absence of standardization requires complex processing steps to correlate logs with the executed actions and such approaches are not universally applicable to all smart contracts on the blockchain, further limiting their scope. Lastly, none of the existing techniques can extract information from event logs embedded in internal transactions of smart contracts.To address these limitations, we propose EveLog an application-agnostic methodology that can be applied to any EVM-compatible application without predefined constraints. Its primary goal is to extract information from smart contracts, capturing both public and internal transactions, and organizing the results into a structured XES event log. The EveLog methodology consists of five key steps: (i) extraction of data from smart contract transactions, (ii) decoding raw data, (iii) selection of sorting criteria, (iv) construction of traces, and (v) generation of the XES event log. EveLog has been implemented in a client–server application and tested on existing solutions, specifically the CryptoKitties application, a blockchain-based game on the Ethereum blockchain. The study was conducted using 12,996 blocks, including over 8000 real transactions from the Ethereum mainnet.

Remote detection of polluted gases based on thermal infrared spectral imaging in the field

This paper reports the new progress of long wave infrared remote sensing in the field, focusing on the implementation process of window scanning spatiotemporal modulation Fourier spectroscopic imaging technology. Utilizing the self-developed CHIPED-1 device, the spatial modulation interference was achieved through the use of a cone mirror Michelson interferometer. By combining it with a cooled long-wave infrared focal plane detector component and applying data processing steps such as acquisition, recombination, calibration, etc., high-spectral resolution imaging in long-wave infrared region was accomplished. The detection sensitivity index nesr (Noise Equivalent Spectral Radiance) of the self-developed CHIPED-1 long wave infrared hyperspectral imaging principle experimental device reaches 5.6 × 10−8w/(cm−1.sr.cm2) in single pixel，Equivalent to commercial time modulation interferometric hyperspectral imagers; It reflects the progressiveness of the technology, and leaves much room for improvement.By testing the transmittance curve of polypropylene film, the spectral response range of CHIPED-1 infrared hyperspectral imaging principle experimental device reached 11.5 μm.The article also studied the hyperspectral imaging detection method for two-dimensional distributed chemical gas VOCs, taking the detection experiments of field high-rise buildings and ether gas as examples.Under complex backgrounds and low experimental concentrations, the presence of ether vapor cannot be observed from the infrared spectrum slices at the same wave number. However, after differential spectral processing, the spatial distribution of ether vapor can be clearly seen.The hyperspectral method is applied in the field of infrared detection of organic vapor VOCs, which has many advantages over wide-band thermal imaging methods, such as high sensitivity, strong anti-interference ability, and wide recognition range.

Using the Radial-Shear Rolling Method for Casted Zirconium Alloy Ingot Structure Improvement

In developing materials for the nuclear industry, it is crucial to enhance both alloy composition and processing methods. This study focuses on investigations of applying radial-shear rolling (RSR) to a Zr-1%Nb alloy ingot, aiming to refine its microstructure and improve its properties for nuclear applications. This method, with complex vortex metal flow inside of a casted workpiece, has not been previously tested for processing zirconium ingots, so experimental verification of its applicability is of scientific interest. The 30 mm diameter ingot, produced by vacuum induction melting, was initially rolled to 20 mm at 800 °C to eliminate defects and refine the cast structure. A second rolling stage reduced the diameter to 13 mm at 530 °C, resulting in an ultrafine-grained structure. The RSR method effectively combines structural refinement and defect healing within fewer cycles, making it suitable for producing components for nuclear reactors. This approach demonstrates a potential reduction in traditional processing steps, providing a more efficient route for preparing high-quality materials for nuclear applications.

Acoustic pipette and biofunctional elastomeric microparticle system for rapid picomolar-level biomolecule detection in whole blood.

Most biosensing techniques require complex processing steps that generate prolonged workflows and introduce potential points of error. Here, we report an acoustic pipette to purify and label biomarkers in 70 minutes. A key aspect of this technology is the use of functional negative acoustic contrast particles (fNACPs), which display biorecognition motifs for the specific capture of biomarkers from whole blood. Because of their large size and compressibility, the fNACPs robustly trap along the pressure antinodes of a standing wave and separate from blood components in under 60 seconds with >99% efficiency. fNACPs are subsequently fluorescently labeled in the pipette and are analyzed by both a custom, portable fluorimeter and flow cytometer. We demonstrate the detection of anti-ovalbumin antibodies from blood at picomolar levels (35 to 60 pM) with integrated controls showing minimal nonspecific adsorption. Overall, this system offers a simple and versatile approach for the rapid, sensitive, and specific capture of biomolecules.

A Carbon Capture and Utilization Process for the Production of Solid Carbon Materials from Atmospheric CO2 - Part 2: Carbon Characterization.

This article is the second part of a study reporting the results of a novel carbon capture and utilization (CCU) process, which converts atmospheric CO2 into solid carbon materials. The CCU process combines direct air capture (DAC) with catalytic methanation, which is then followed by methane pyrolysis in a reactor filled with liquid tin. While Part 1 discussed the performance of the overall process and individual process steps regarding conversions and yields, Part 2 characterizes the solid carbon products obtained under various synthesis conditions. The effects of the pyrolysis temperature and the composition of the gas mixture from the methanation step on the solid carbon product are analyzed. Carbon powder is synthesized from methane with either H2 or CO2 as most important impurity. Carbon samples are characterized using SEM, TEM, Raman spectroscopy, XPS and XRD analysis. Very thin, disordered carbon flakes, soot aggregates and large carbon onions are identified as the main solid products of the process. Their formation mechanisms in the liquid metal-filled pyrolysis reactor are discussed.

An increase in reactive oxygen species underlies neonatal cerebellum repair.

The neonatal mouse cerebellum shows remarkable regenerative potential upon injury at birth, wherein a subset of Nestin-expressing progenitors (NEPs) undergoes adaptive reprogramming to replenish granule cell progenitors that die. Here, we investigate how the microenvironment of the injured cerebellum changes upon injury and contributes to the regenerative potential of normally gliogenic-NEPs and their adaptive reprogramming. Single cell transcriptomic and bulk chromatin accessibility analyses of the NEPs from injured neonatal cerebella compared to controls show a temporary increase in cellular processes involved in responding to reactive oxygen species (ROS), a known damage-associated molecular pattern. Analysis of ROS levels in cerebellar tissue confirm a transient increased one day after injury at postanal day 1, overlapping with the peak cell death in the cerebellum. In a transgenic mouse line that ubiquitously overexpresses human mitochondrial catalase (mCAT), ROS is reduced 1 day after injury to the granule cell progenitors, and we demonstrate that several steps in the regenerative process of NEPs are curtailed leading to reduced cerebellar growth. We also provide evidence that microglia are involved in one step of adaptive reprogramming by regulating NEP replenishment of the granule cell precursors. Collectively, our results highlight that changes in the tissue microenvironment regulate multiple steps in adaptative reprogramming of NEPs upon death of cerebellar granule cell progenitors at birth, highlighting the instructive roles of microenvironmental signals during regeneration of the neonatal brain.

Dissolution of Volcanic Ash in Alkaline Environment for Cold Consolidation of Inorganic Binders.

A systematic study on the dissolution in concentrated alkali of two volcanic ashes from Cameroon, denoted as DAR and VN, is presented here. One volcanic ash, DAR, was 2 wt% richer in Fe and Ca and 4 wt% lower in Si than the other, designated as VN. Such natural raw materials are complex mixtures of aluminosilicate minerals (kaersutite, plagioclase, magnetite, diopside, thenardite, forsterite, hematite, and goethite) with a good proportion of amorphous phase (52 and 74 wt% for DAR and VN, respectively), which is more reactive than the crystalline phase in alkaline environments. Dissolution in NaOH + sodium silicate solution is the first step in the geopolymerisation process, which, after hardening at room temperature, results in solid and resistant building blocks. According to XRD, the VN finer ash powders showed a higher reactivity of Al-bearing soluble amorphous phases, releasing Al cations in NaOH, as indicated by IPC-MS. In general, dissolution in a strong alkaline environment did not seem to be affected by the NaOH concentration, provided that it was kept higher than 8 M, or by the powder size, remaining below 75 µm, while it was affected by time. However, in the time range studied, 1-120 min, the maximum element release was reached at about 100 min, when an equilibrium was reached. The hardened alkali activated materials show a good reticulation, as indicated by the low weight loss in water (10 wt%) when a hardening temperature of 25 °C was assumed. The same advantage was found for of the room-temperature consolidated specimens' mechanical performance in terms of resistance to compression (4-6 MPa). The study of the alkaline dissolution of volcanic ash is, therefore, an interesting way of predicting and optimising the reactivity of the phases of which it is composed, especially the amorphous ones.

Optimization of Impact Ionization in Metal–Oxide–Semiconductor Field-Effect Transistors for Improvement of Breakdown Voltage and Specific On-Resistance

For the past few decades, metal–oxide–semiconductor field-effect transistors (MOSFETs) have been the most important application in IC circuits. In certain circuit applications, the breakdown voltage and specific on-resistance serve as key electrical parameters. This article introduces a readily accessible approach to enhance the source–drain breakdown voltage (BVDS) of MOSFETs based on the Bipolar-CMOS-DMOS (BCD) platform without extra costs. By attentively refining the process steps and intricacies of the doping procedures, the breakdown voltages of NMOS and PMOS experienced increments of 3.4 V and 4.6 V, translating to enhancements of 31.5% and 50.3%. Parallel simulations offer insightful mechanistic explanations through simulation tools, facilitating superior outcomes. This initiative lays significant groundwork for the advancement of a comprehensive BCD process development framework.

Landfill-gas-to-biomethane via a new carbon capture and utilization technology: One-pot sodium chloride batch mineralization

A new landfill-gas-to-biomethane route adopts a new carbon capture and utilization process via sodium chloride (NaCl) mineralization. The new process exports chlorine (Cl2), dense carbon dioxide (CO2), hydrogen (H2) and sodium carbonate (Na2CO3). Process absorbs CO2 from landfill-gas with aqueous NaOH/Na2CO3 in batch multi-purpose columns that execute several processing steps in one-pot; namely: CO2 absorption; sodium bicarbonate (NaHCO3) precipitation; NaHCO3 filtration driven by pressurized CO2; NaHCO3 breakage to Na2CO3 via hot CO2 injection; Na2CO3 cooling via cold CO2 injection; and solid Na2CO3 disposal through column lateral doors. The one-pot columns avoid investment with several steady-state complex equipment like bubble-columns, centrifuges, filters, solid dryers, heaters, mud pumps and solid transporters. The depleted solvent from the one-pot columns is regenerated via steady-state, high current-density, brine electrolysis wherein solvent continually feeds cathodes, while brine continually feeds anodes as sodium source. Sodium reaches the cathode through selective Flemion F9010 ion-exchange membrane. CO2 is partially mineralized to Na2CO3 and partially exported as supercritical CO2. Process output-ratios per captured CO2 are: 1.159kgNa2CO3/kg, 0.7754kgCl2/kg, 0.4299kgCH4/kg, 0.0219kgGREEN−H2/kg and 0.51875kgCO2/kg, while the input-ratios are 1.2782kgNaCl/kg, 0.197kgH2O/kg and 1.7495kWh/kg. The new landfill-gas-to-biomethane (480,000Nm3/d landfill-gas) was evaluated environmentally and techno-economically reaching 48.6MMUSD investment, 112MMUSD/y revenues and 418.34MMUSD net value (30 years).

Identification of psychosocially stressed families by practice pediatricians : Results on the effectiveness of the PATH (Pediatric Attention To Help) intervention

In Germany, about afifth of families with young children live under psychosocially stressful conditions that can threaten the healthy development of the child. In order to improve the referral of these families from pediatric practices to early childhood intervention services ("Frühe Hilfen"), the PATH intervention was developed and implemented in Baden-Württemberg. The first step in the referral process is to identify psychosocially stressed families. This study investigated whether the PATH intervention increases the proportion of identified families with psychosocial stress by pediatricians. In aquasi-experimental study, atotal of 293 psychosocially stressed families who were cared for by 29pediatricians from established pediatric practices were examined. The intervention group (IG) consisted of families with pediatricians from Baden-Württemberg who took part in the PATH intervention. The control group (CG) consisted of families with pediatricians from Bavaria who did not take part in the PATH intervention. Additional qualitative telephone interviews were conducted with 10pediatricians from the IG and 20families from the IG with psychosocial stress. Asignificantly higher proportion of psychosocially stressed families was identified in the IG than in the CG. The difference was about 20percentage points and was similar regardless of the family's level of stress. The results show that the PATH intervention improves the identification of psychosocially stressed families by pediatricians. This improved identification of psychosocially stressed families is an important prerequisite for referring families to tailored early childhood intervention services such as those provided by the "Frühe Hilfen".

SFDiff: Diffusion model with sufficient spatial‐Fourier frequency information interaction for low‐light image enhancement

AbstractDiffusion models are increasingly applied in low‐light image enhancement tasks due to their exceptional capability to model data distributions, but most current methods focus only on the original pixel space and neglect the potential of Fourier frequency information. In this article, SFDiff is proposed, a novel low‐light image enhancement method that integrates Fourier frequency information into the diffusion process. Specifically, Fourier transforms are applied at both the image and feature levels to separately enhance the amplitude and phase components, which restores global illumination degradation and positional information. Then a Spatial‐Frequency Fusion (SFF) block is used to fully integrate and interact with the information across spatial and frequency domains. Since illumination degradation is primarily manifested in the amplitude component, a loss function based on maximum likelihood learning is employed to constrain the amplitude component at each step of the sampling process, ensuring that the reverse process maintains an optimal trajectory. Owing to the streamlined network design and the fact that the Fourier transform requires no extra parameters, SFDiff achieves a reduction in parameters of over compared to several state‐of‐the‐art (SOTA) diffusion models and delivers high‐quality enhancement results on multiple real‐world datasets. The code is available at https://github.com/MrWan001/SFDiff.

Enabling tailored microstructures by hybrid directed energy deposition processing of a nickel-based superalloy

The technological advances in additive manufacturing, particularly laser based directed energy deposition (DED), revolutionized the production of complex metal components. Despite this progress, the oriented heat flux and several reheating thermal cycles can induce a strongly textured microstructure, which induces an anisotropic mechanical behavior. In addition, considerable residual stresses typically require additional post-processing. Therefore, hybrid process chains for additive manufacturing (AM) are being developed, which aim at integrating conventional post-processing into the AM process. However, a detailed investigation of thermal and mechanical effects of such hybrid processes on the mechanical properties and their interrelation is lacking. In an experimental study, we explore the integration of thermal and mechanical processing steps within the DED process chain to locally tailor microstructures and mechanical properties. Through electron backscatter diffraction measurements, we demonstrate significant microstructural changes of DED-manufactured nickel-based superalloy samples using deep rolling and laser heat treatment. A mechanical surface deformation induces microstructural misorientation leading to an increase in hardness down to substantial depth of several hundred micrometers. Additionally, the targeted management of heat input during laser heat treatment results in different grain morphologies and sizes, affecting average microhardness within a significant depth. The results demonstrate the potential for microstructural tailoring using hybrid AM process chains, while a substantial sensitivity of the microstructure to thermal and mechanical load emphasizes the importance of a precise process control. This work provides an understanding of the process-microstructure-property relationship required for developing new process pathways in hybrid AM that integrate thermal and mechanical processes into DED manufacturing.

Optimization of a Hydrogen-Fueled Parametric Strut Injector Using an Automated Workflow Computational Fluid Dynamics Method

Abstract A strut injector for burning hydrogen has been optimized using an automated workflow system. In order to choose the optimal set of injectors to cover the design space, an optimized design of experiments (DOE) method was used to automatically choose the parameters that best spanned the design space. One hundred candidate designs were chosen, and a script was used to generate a series of stereolithography (STL) files for each design. The STL files were then uploaded to a supercomputer for computational fluid dynamics analysis. For each of the 100 designs, a four step process was followed to generate the required data, and this included an automated mesh generation step, a field initialization step, a mesh adaptation step, and finally an large eddy simulation all within the yales2 numerical framework. In order to reduce the time required for postprocessing and the amount of data required, the simulations relied heavily on an on-the-fly postprocessing methodology, which reduced the complex time-unsteady flow fields to a small number of quantified outputs of interest that measured the suitability of each design such as the pressure drop across the injector and the efficiency of the mixing process. At the conclusion of these simulations, automated scripts translated these outputs into a smaller set of parameters that could be used to compare each design and allow subsequent optimization and surrogate modeling. Several surrogate modeling methods were attempted with mixed results; however, a simple classification methodology quickly identified the parameters of interest.

Novel Approach for Detection of BRAF and KRAS Mutations Using ARMS (amplification refractory mutation system) Primers for Colon Cancer Therapeutic Response Prediction

Abstract Introduction/Objective KRAS and BRAF V600E mutations are confirmed predictive biomarkers for anti-EGFR monoclonal antibody therapy response and prognosis for colorectal cancer and often considered mutually exclusive with few exceptions (0.05% of mCRC cases). We have developed a multiplex PCR assay utilizing ARMS (amplification refractory mutation system) Primers and Probes for screening and further testing of BRAF mutation status in a 2 step process. Methods/Case Report The Multiplex PCR Assay or BRAF/KRAS mutation was designed as a 5 color assay. Primers and Probes consisted of Wild Type Kras and wild and mutant (V600E/V600K) type BRAF primers and probes. For specimen, Positive and negative control standards made of engineered positive control plasmids for wild type KRAS & BRAF and mutant type V600E & V600K BRAF as well as internal control of bet actin and 2 Patient samples with known BRAF V600E mutant status were run. Mutant type V600E & V600K BRAF were mixed with wild type V600 controls in different ratios as well. Results were interpreted as BRAF wild KRAS wild/ BRAF wild KRAS mutant/ BRAF V600E KRAS wild/BRAF V600K KRAS wild type and NGS was recommended in cases of concurrent BRAF and KRAS mutations. Results (if a Case Study enter NA) Positive/negative/internal control standards for wild type KRAS & BRAF and mutant type V600E & V600K BRAF showed expected results in both CFX 96 and ABI 7500 runs in triplicates. Graphs were able to determine separate Ct values and sigmoidal amplification plots that readily differentiated KRAS wild/BRAF wild/ BRAF V600E types. Mutant type V600E & V600K BRAF that were mixed with wild type V600 controls in different ratios all showed expected results and were able to differentiate between wild and mutant types with accuracy. Also, the 2 patient samples with known (Sanger sequencing-diagnosed) V600E mutation status showed positive Ct values for KRAs wild and V600E probes and negative CT values for V600 wild/V600K probes. No invalid runs or unexpected control results were observed. Conclusion The ARMS BRAF/KRAS multiplex test is a efficient, accurate 2 step assay. In the patients and positive and negative controls prepared, it was able to reliably diagnose KRAS and BRAF mutation status in a matter of 4 hours running time. Given the fact that this is a cost effective assay that can utilize most commonly used Real time PCR machines this test may be clinically implemented if larger clinical trials utilizing tissue samples from a larger number of colon cancer patients are conducted.

Purification Processes for Generating Cationic Lignin-Acrylamide Polymers.

Purification is an essential step in many polymerization processes for fabricating highly pure polymers. This study considered various purification methods for purifying the product of lignin, acrylamide (AM), and diallyl dimethylammonium chloride (DADMAC) copolymerization reactions at a laboratory scale. The charge density, yield, molecular weight, and solubility analyses confirmed that ethanol extraction and membrane filtration were the most effective processes for producing lignin-p(AM)-p(DADMAC). The 1H NMR analysis revealed that the membrane dialysis effectively removed unreacted AM and DADMAC monomers from the reaction medium. The produced samples of the ethanol-extraction and dialysis processes had higher solubility and yield compared to the product of the acidification process. Thermogravimetric studies confirmed that the ethanol-extracted and dialyzed samples had a degradation temperature (220 °C) higher than that of the acidified samples (160 °C). The rheological studies confirmed that the viscosities of the polymer solutions were influenced more by the solubility than by the molecular weight of the generated polymers within the molecular weight range examined in this study. The flocculation studies confirmed that the ethanol-extracted and dialyzed polymers were more effective flocculants than the acidified samples for the particles of a kaolinite suspension. Based on the above results, membrane filtration with a larger pore size could be an environmentally friendly method for effectively purifying lignin-p(AM)-p(DADMAC).

On n-unital and n-Mal’tsev categories

Inspired by some properties of the (dual of the) category of 2-nilpotent groups, we introduce the notion of 2-unital and 2-Mal’tsev categories which, in some sense, generalises the notion of unital and Mal’tsev categories, and we characterise their varietal occurrences. This is actually the first step of an inductive process which we begin to unfold.

From two segments and beyond: Investigating the onset of regeneration in Syllis malaquini.

Annelids feature a diverse range of regenerative abilities, but complete whole-body regeneration is less common, particularly in the context of the head and anterior body regeneration. This study provides a detailed morphological description of Syllis malaquini regenerative abilities. By replicating previous experiments and performing diverse surgical procedures, we explored the capacity of this species for whole-body regeneration. We detailed the precise timing of regeneration of particular structures such as the eyes, proventricle, pharyngeal tooth, nuchal organs, and body pigmentation after amputation. Our high-resolution scanning electron microscopy and confocal laser-scanning microscopy images provide details of the blastema region, revealing that while anal opening remains in connection to the exterior environment, oral opening is formed "de novo" during blastema differentiation. Additionally, we performed amputations to isolate fragments consisting of one, two, and three segments from the intestinal trunk region. We found that S. malaquini requires at least two to three segments to successfully regenerate the whole body. In addition, we verified a variable capacity to regenerate depending upon the gut region, with structures of the foregut greatly impairing some steps of the regenerative process. Our work notably addresses the gap in knowledge concerning gut formation and its impact on regenerative capabilities. Ongoing research is crucial to unravel the role of gut tissue specificity and plasticity during regeneration in annelids, and particularly in syllids.