Capture Method Research Articles

Cross-sectional Effects of Isolated Meniscal Tears on In Vivo Biomechanics of the Knee: A Systematic Review of Motion Analysis Studies

Objectives: To systematically review the effects of meniscal tears on in vivo knee biomechanics, with a focus on kinematic and kinetic outcome measures. Methods: Databases were queried for level I-IV studies that met the following criteria: in vivo studies of gait or motion analysis, cohorts with isolated meniscal pathology, and kinematics and/or kinetics outcome measures. Demographic data, methods of motion analysis, tasks performed, and kinematics and kinetics outcomes were extracted. Standardized mean differences with a random-effects model were calculated to compare cohorts with meniscal tears and healthy controls when outcomes were homogeneous. Results: Thirteen studies were eligible, with a pooled sample of 176 medial meniscal and 74 lateral meniscal tears. Eleven studies assessed gait biomechanics. There was considerable variability in reported outcomes and motion capture methods. Meta-analysis revealed statistically significant decreases in peak knee flexion angle, range of adduction-abduction, and internal-external rotation (p < 0.05) for the pooled sample of lateral meniscus tears. In terms of kinetics, although qualitative evidence in individual studies suggested alterations (e.g., decreased total support moment of the injured limb), quantitative analysis failed to demonstrate significant differences in peak knee flexion moment and peak knee adduction moment (p ≥ 0.05). Conclusion: Lateral meniscus tears significantly impact in vivo knee kinematics across all three planes of motion. No significant differences were observed in the kinetics of medial meniscus tears, and the evidence for their impact on kinematics remains conflicting. Our findings suggest that analyzing more demanding functional tasks may be necessary to detect the biomechanical changes caused by meniscal tears.

The digital preservation of the Padley Mill as both heritage and knowledge

Architecture is a form of tacit knowledge in which ideas can be learnt from the past, and that body of tacit knowledge can be recorded in order to give relevant guidance to today's productions. This methodological paper presents a timely reflection that seeks to document the digitisation of Padley Mill in the Grindleford Village of the U.K., which was the key design output and built heritage of the late British academic and architect Peter Blundell Jones. The paper starts with a brief review on the current developments on digital reality capture methods in architectural heritage studies, followed by the Padley Mill digital preservation case study via its three work stages utilising LiDAR data and photogrammetry data. It closes with a humanities echo after the historian-designer on the layering and storytelling of the historic environment. The distinction of this paper is it combines and enhances the digital visualisation and storytelling of endangered architectural heritage through 3D LiDAR scanning and digital photogrammetry, promoting further methodological debates in the digital preservation of architectural heritage.

Molten-Salt-Mediated Chemical Looping Oxidative Dehydrogenation of Ethane with In-Situ Carbon Capture and Utilization.

The molten-salt-mediated oxidative dehydrogenation (MM-ODH) of ethane (C2H6) via a chemical looping scheme represents an effective carbon capture and utilization (CCU) method for the valorization of ethane-rich shale gas and concurrent mitigation of carbon dioxide (CO2) emissions. Here, stepwise experimentation with Li2CO3-Na2CO3-K2CO3 (LNK) ternary salts (i) assessed how each component of the LNK mixture impacted ethane MM-ODH performance and (ii) explored physicochemical and thermodynamic mechanisms behind melt-induced changes to ethylene (C2H4) and carbon monoxide (CO) yields. Of fifteen screened LNK compositions, nine exhibited ethylene yields greater than 50 % at 800 °C while maintaining C2H4 selectivities of 85 % or higher. LNK salts rich in Li2CO3 content yielded more ethylene and CO on average than their counterparts, and net CO2 capture per cycle reached a maximum of ~75 %. Extended MM-ODH cycling also demonstrated long-term stability of a high-performing LNK medium. Density functional theory (DFT) calculations and ab initio molecular dynamics (AIMD) simulations suggested that the molten salt does not directly activate C2H6. Meanwhile, an empirical model informed by experimental data and reaction thermodynamics adequately predicted overall MM-ODH performance from LNK composition and provided insights into the system's primary drivers.

CO2 solubility and physicochemical properties of 2-amino 2-methyl-1-propanol based solvents for post-combustion CO2 capture. Predictive modeling using machine learning

Global warming, caused by Carbon Dioxide (CO2) emissions from hard-to-abate industries, necessitates CO2 capture as one of the promising alternatives. Post-combustion CO2 capture (PCC) can be retrofitted for industries where chemical absorption using an amine-based solvent is an efficient method for CO2 capture. An essential factor for CO2 absorption in an amine mixture is the study of CO2 solubility and CO2 + Amine physicochemical properties to identify the more efficient solvents. Often experimental data are available in the literature, but precisemodeling is necessary to use such data for further utilization in a process-plant model. In this work, a blended solvent aqueous 2-amine-2methyl-1-Propanal (AMP) with Piperazine (PZ) and 1-(2-aminoethyl) piperazine (AEP) have been identified as a potential candidate for PCC application. The fundamental properties such as the density, viscosity and CO2 solubility in AMP + PZ and AMP + AEP blended solutions have been predicted by employing machine learning to get an exceptionally efficient model. This data-mining technique efficiently calculates solubility, density, and viscosity by using 691, 559, and 559 experimental data sets respectively, from the literature of AMP + PZ. Similarly, 120 data sets of solubility have been collected from the literature for AMP + AEP. Random Forest regression, Artificial Neural Network (ANN), and XGBoost regression algorithms are adapted to predict CO2 solubility in aqueous AMP blended solution. The effectiveness of these models has been confirmed through statistical analysis, leading to the conclusion that XGBoost outperforms the other two approaches. Moreover, an identical approach has been employed to develop a predictive model for the density and viscosity of AMP + PZ solvent. The outcomes imply that the machine learning algorithm performs better with experimental data and may be utilised as an effective simulation tool.

Dopamine‐modified Highly Dispersed ZIF‐8 to Promote CO2 Absorption

AbstractCO2 capture technology has been widely used to reduce CO2 emissions, resulting in a variety of capture methods and materials. Among them, the more widely used is the chemical absorption method. However, the chemical absorption method has problems such as high energy consumption and slow absorption rate. In order to solve the above problems, we prepared an effective catalyst to improve the CO2 absorption rate. ZIF‐8 and hydrophilic ZIF‐8‐DA were prepared by in situ synthesis under ambient conditions. The catalytic effect of the hydration reaction of ZIF‐8 and ZIF‐8‐DA was tested using CO2 absorption regeneration experiments under aqueous and alkaline conditions, respectively. The results showed that the synthesized catalysts could significantly enhance the CO2 absorption in water and alkaline solution. The addition of 0.1 wt % of ZIF‐8 in alkaline solution increased the average CO2 absorption by 1.80–15.84 %, respectively, while the addition of 0.1 wt % of ZIF‐8‐DA increased the CO2 absorption by 7.01–25.36 %. In addition, both catalysts had excellent reusability and maintained high performance even after five absorption and regeneration cycles. Polymer dispersibility index (PDI) results showed that ZIF‐8‐DA dispersed more uniformly in aqueous solution.

Thermodynamic evaluation of a Ca-Cu looping post-combustion CO2 capture system integrated with thermochemical recuperation based on steam methane reforming

The calcium looping integrated with the chemical looping combustion (CaL-CLC) process is an efficient and cost-effective CO2 capture technology that avoids the energy-intensive air separation unit in the calcium looping (CaL) process. However, in these CaL-CLC and CaL system integration schemes, the carbonation heat is utilized for steam generation, resulting a significant temperature difference and considerable irreversible loss. To prevent temperature mismatch, this paper proposes a novel Ca-Cu looping post-combustion CO2 capture method with thermochemical recuperation based on steam methane reforming. Additionally, a novel system integrated with turbine exhaust heat recovery is introduced to effectively reduce carbon emissions from flue gas. Results show that the proposed system has superior performance compared to the reference system based on the Ca-Cu looping method. The specific primary energy consumption for CO2 avoidance decreased from 2.40 MJLHV/kg CO2 in the reference system to 2.02 MJLHV/kg CO2. Exergy analysis indicates that a total of 3.0 % reduction in exergy destruction can be achieved in chemical reaction processes and heat recovery processes, contributing to the superior performance of the proposed system. Furthermore, the effects of key operating parameters indicate that cascaded turbine exhaust recovery is essential for improving the thermodynamic efficiency of the proposed system. Overall, recovering the mid-temperature carbonation heat via thermochemical regeneration and integrating with exhaust heat recovery contribute to reducing SPECCA, thus providing a promising low-energy-consumption alternative for CO2 capture.

Single-Cell Transcriptomic Analysis of Normal and Malignant B Cells.

In the past decade, single-cell (sc) transcriptomics has overcome the limitations of bulk analysis by measuring gene expression in individual cells, not just a population average. This can identify diverse cell types and states within a sample with high resolution, even without prior purification. Various technologies exist, each with its own capture, barcoding, and library preparation methods. This chapter focuses on the analysis of normal and malignant mature B cells using the 10× Genomics 5' sc-gene expression in parallel with B cell immune repertoire profiling. By integrating the gene expression data from similar cells, the complete transcriptome for each population can be reconstructed, while the identification of the expressed immunoglobulin genes allows investigating clonotype evolution and the detection of tumor clones that share the same clonally rearranged B cell receptor sequence. Researchers are guided through both the experimental protocols and data analysis with a comprehensive, step-by-step walkthrough of how to use some of the more popular single-cell software tools.

A novel Ca-Ni looping with carbonation heat thermochemical regeneration method for post-combustion CO2 capture: System integration, energy-saving mechanism, and performance sensitivity analysis

Thermal coupling between the calcium looping (CaL) process and chemical looping combustion (CaL-CLC) offers advantages to avoid electricity consumption of air separation, and the CaL-CLC has presented superior performance realizing CO2 capture. However, in these CaL-CLC and CaL configurations for post-combustion CO2 capture, the carbonation heat is recovered for steam generation with a significant temperature difference, leading to considerable irreversible loss. To prevent the temperature mismatch during carbonation heat recovery, this paper proposes the concept of Ca-Ni looping with the carbonation heat thermochemical regeneration method. Additionally, a novel system integrating with a combined cycle is introduced to effectively decarbonize flue gas. Results show that the proposed system has superior performance compared with the reference system based on the Ca-Cu looping method. The specific energy consumption for CO2 avoided (SPECCA) decreased from 2.13 MJ/kg CO2 in the reference system to 1.43 MJ/kg CO2. Exergy analysis indicates that a total 6.3 % exergy destruction reduction is realized by replacing the Cu-based chemical looping combustion with the Ni-based oxidation reaction for calcination heat supply. Furthermore, the energy utilization diagram (EUD) reveals the mechanism of exergy destruction reduction caused by the thermal coupling between reaction processes. Besides, the impact of key operating parameters on the proposed system performance is investigated. Overall, the proposed Ca-Ni looping with carbonation heat regeneration method enhances the utilization of mid-temperature carbonation heat by converting it into high-grade thermal energy suitable for combined cycles, thereby offering a promising alternative for low-energy-consumption CO2 capture.

Comparison of Butorphanol-Azaperone-Medetomidine and Nalbuphine-Medetomidine-Azaperone in Free-Ranging Elk (Cervus canadensis) in Pennsylvania, USA.

Chemical immobilization is commonly used to capture and handle free-ranging elk (Cervus canadensis). Butorphanol-azaperone-medetomidine (BAM) and nalbuphine-medetomidine-azaperone (NalMed-A) are compounded drug combinations that are lower-scheduled in the US than drugs historically used for elk immobilizations. We compared BAM and NalMed-A for immobilization of free-ranging elk using free-darting and Clover trapping. From January 2020 to April 2022, 196 female elk were immobilized in Pennsylvania, USA. We report vital rates, induction and recovery times, and the need for supplemental drugs. We built mixed-effects logistic regression models to describe differences between drug choice based on induction and recovery times, capture method, and individual variation. Several models were competing, including our null model, which suggests that BAM and NalMed-A are comparable based on the parameters we evaluated. Supplemental drug administration was more frequently needed in NalMed-A immobilizations (21.2%) than in BAM immobilizations (9.0%). Overall, we found minor differences between BAM and NalMed-A, both of which appear to be effective for immobilizing elk in both free-darting and Clover trapping scenarios when performing moderately invasive, minimally painful procedures on free-ranging elk.

Rapid simulation of knitted fabrics based on a ribbon yarn model

In the study, an innovative three-dimensional ribbon-based yarn model simulation technique is introduced, aimed at significantly enhancing the realism and speed of knitted fabric simulation through efficient model construction and rendering processes. The method successfully overcomes the limitations of traditional two-dimensional loop models and tubular yarn models, accurately capturing the textural details of knitted fabrics with a vivid three-dimensional representation. Experimental results demonstrate the outstanding performance of this simulation system in simulating the fuzz effects of yarn and in processing speed. This technology offers significant potential in textile design and production, notably in boosting design efficiency and accelerating new product development. By employing low-cost image capture methods, the study effectively reduces technical and financial barriers in knitted fabric simulation, enhancing its practical and industrial applicability.

Predictors of Patient Experience for 89,205 Physical and Occupational Therapy Patients Seen for Musculoskeletal Disorders: A Retrospective Cohort Study

OBJECTIVE: To identify predictors of patient experience among a cohort of 89,205 individuals who sought physical and occupational therapy services for musculoskeletal disorders. DESIGN: Retrospective cohort. METHODS: Patient experience was measured using a previously validated tool, the Select Medical Patient Reported Experience Measure (SM-PREM©), for physical and occupational therapy outpatient clinics. Linear and logistic regression models measured the association between demographic, clinical, and payment-related variables and SM-PREM© scores at discharge. RESULTS: Multiple variables that were statistically significantly associated with SM-PREM scores across regression analyses (p<0.05); 4 predictors consistently emerged from the regression analyses. The use of paper outcomes capture (OR=1.21, 95%CI 1.17, 1.26), higher cancellation rates (OR=1.00, 95%CI 1.00, 1.01), higher percent out-of-pocket costs (OR=1.00, 95%CI 1.00, 1.01), and failure to meet the outcomes MCID (OR=0.76, 95%CI 0.73, 0.78) were predictors of a less favorable patient experience. CONCLUSION: Outcome capture methods, managing cancellation rates, and addressing financial barriers were important for improving patient experiences. More research is needed to investigate the underlying mechanisms driving these associations, explore interventions to mitigate their negative impacts and consider additional variables that may further explain variations in SM-PREM scores.

Cocaine taking and craving produce distinct transcriptional profiles in dopamine neurons.

Dopamine (DA) signaling plays an essential role in reward valence attribution and in encoding the reinforcing properties of natural and artificial rewards. The adaptive responses from midbrain dopamine neurons to artificial rewards such as drugs of abuse are therefore important for understanding the development of substance use disorders. Drug-induced changes in gene expression are one such adaptation that can determine the activity of dopamine signaling in projection regions of the brain reward system. One of the major challenges to obtaining this understanding involves the complex cellular makeup of the brain, where each neuron population can be defined by a distinct transcriptional profile. To bridge this gap, we have adapted a virus-based method for labeling and capture of dopamine nuclei, coupled with nuclear RNA-sequencing, to study the transcriptional adaptations, specifically, of dopamine neurons in the ventral tegmental area (VTA) during cocaine taking and cocaine craving, using a mouse model of cocaine intravenous self-administration (IVSA). Our results show significant changes in gene expression across non-drug operant training, cocaine taking, and cocaine craving, highlighted by an enrichment of repressive epigenetic modifying enzyme gene expression during cocaine craving. Immunohistochemical validation further revealed an increase of H3K9me3 deposition in DA neurons during cocaine craving. These results demonstrate that cocaine-induced transcriptional adaptations in dopamine neurons vary by phase of self-administration and underscore the utility of this approach for identifying relevant phase-specific molecular targets to study the behavioral course of substance use disorders.

Study of the Feasibility of Extracting Babassu Seed Oil by Extraction in an Ultrasonic Bath Using Organic Solvents

Introduction: Orbignia speciosa or phalerata (babassu) is an oilseed plant of great economic importance. The structure of the babassu fruit is similar to that of a coconut, and is composed of four parts: epicarp, mesocarp, endocarp and the seed, which contains approximately 60% oil, where lauric acid predominates in its composition, which is mainly responsible for the antiviral, antifungal and bactericidal activities of babassu oil. Babassu oil is a vegetable oil widely used in the food industry, and it also has wide application in the cosmetic, pharmaceutical and chemical industries. The objective of this work will be to use organic solvents in the extraction of oil from the babassu seed by the ultrasonic bath method with hexane, and with less toxic solvents such as ethyl acetate, isopropanol and ethanol. The kinetic curve of the extraction process will be determined to define the time required to reach saturation, establishing the time found as the ideal for the process. The fatty acid composition will be determined by gas chromatography. The antioxidant activity will be analyzed according to the adapted method of free radical capture by ultraviolet and visible spectrophotometry (UV-VIS). This method is based on the capture of the DPPH (2,2-diphenyl-1-picrylhydrazyl) radical by antioxidants, producing a decrease in absorbance. After the interpretation and correlation of the results, it will be possible to establish the factors that present the best performance for the extraction of babassu oil and its chemical properties and compare them with the oil obtained using hexane. Objective: The objective of this study is to investigate the extraction of babassu seed oil with different organic solvents in order to evaluate the possibility of replacing hexane with a less toxic alternative solvent using the ultrasound extraction method. Theoretical Framework: A large amount of waste is produced by the food and agricultural industries, such as pulp, skins, seeds and fruit peels, some of which are considered by-products with a certain economic value. Babassu seed oil is rich in lauric acid, which has anti-inflammatory and immunomodulatory activities, among others. Method: The methodology used is experimental and applied in stages; the ideal oil extraction conditions were verified, the extraction was carried out using different organic solvents, the oil content obtained was quantified, the fatty acids were characterized, the antioxidant activity was determined using the DPPH method and finally the results obtained were compared. Results and Discussion: The oils obtained from the babassu seed through extraction in an ultrasonic bath with different organic solvents proved to be a promising by-product due to the characteristics evaluated. Research Implications: The oils obtained through organic solvents presented similar characteristics to those obtained with hexane, thus enabling its replacement due to it being a more toxic solvent. Originality/Value: This study contributes to the literature on vegetable oils extracted through green technologies with organic solvents, adding value to a by-product of a native fruit.

Methods for live-trapping beaver (Castor spp.)

Effective live-trapping of beaver (Castor spp.) has been and will continue to be necessary for introductions, re-introductions, translocation for the preservation of populations, removal of nuisance beaver, and to obtain animals for fur breeding, zoological gardens and research. The aim of this study was therefore to review the existing knowledge about live-trapping through a literature study, contact with individuals involved in live-trapping, and personal experience. Before starting live-trapping, the area used by the beaver should be determined by careful reconnaissance. Beaver are usually captured either in unbaited traps placed at sites frequently visited by beaver, or in traps baited with castoreum or an aspen twig. Human scent on traps and around the trap site may be reduced by adding mud, water or scent. Usually Bailey or Hancock traps are used for live-trapping beaver. The Hancock trap is preferable because of its greater catch efficiency and versatility. Other traps reviewed are the Breathe Easy trap, Scheffer-Couch trap and different types of cage traps. Other methods used for live-trapping of beaver are snares (often considered highly effective), the Byelorussian trapping method, nets and seines, landing nets, pits and enclosures. Capture methods involving the destruction of lodges/dens and dams have often been employed in the past. Such methods require special permission in most countries and are usually not to be recommended. The Eurasian beaver (C. fiber Linnaeus, 1758) is reportedly more difficult to live-trap than its North American counterpart (C. canadensis Kuhl, 1820). New, effective methods for live-trapping of beaver also need to be developed.

Elucidating flow-directed 98% CO2 absorption using millimeter-sized coiled flow inverters: Nanocellulose-aided sustainable scope

The Sustainable Development Goals (SDGs) adopted by the United Nations drive the global efforts to discover a sustainable carbon capture method for the reduction of anthropogenic CO2 emissions. Concentrated alkanolamine solutions are being used as CO2 capture mediums for batch processes amid several disadvantages, such as energy intensiveness and poor efficiency. In this work, millimeter-sized coiled flow inverters (CFI) have been explored as a point-source CO2 capture tool for highly efficient, continuous operations. Solvent and CO2 gas flow rates are found to dictate the slug flow regime and, more specfically, slug lengths. High interfacial area and residence time remain the driving factors for enhanced CO2 capture using CFI. About 98% CO2 absorption efficiency has been achieved for 3% aqueous diethanolamine solution in CFI . The efficacy of nanocellulose, a sustainable nanomaterial has been unearthed for CO2 capture at low flow rate.

Role of Intermolecular Interactions in Deep Eutectic Solvents for CO2 Capture: Vibrational Spectroscopy and Quantum Chemical Studies.

Recent research and reviews on CO2 capture methods, along with advancements in industry, have highlighted high costs and energy-intensive nature as the primary limitations of conventional direct air capture and storage (DACS) methods. In response to these challenges, deep eutectic solvents (DESs) have emerged as promising absorbents due to their scalability, selectivity, and lower environmental impact compared to other absorbents. However, the molecular origins of their enhanced thermal stability and selectivity for DAC applications have not been explored before. Therefore, the current study focuses on a comprehensive investigation into the molecular interactions within an alkaline DES composed of potassium hydroxide (KOH) and ethylene glycol (EG). Combining Fourier transform infrared (FT-IR) and quantum chemical calculations, the study reports structural changes and intermolecular interactions induced in EG upon addition of KOH and its implications on CO2 capture. Experimental and computational spectroscopic studies confirm the presence of noncovalent interactions (hydrogen bonds) within both EG and the KOH-EG system and point to the aggregation of ions at higher KOH concentrations. Additionally, molecular electrostatic potential (MESP) surface analysis, natural bond orbital (NBO) analysis, quantum theory of atoms-in-molecules (QTAIM) analysis, and reduced density gradient-noncovalent interaction (RDG-NCI) plot analysis elucidate changes in polarizability, charge distribution, hydrogen bond types, noncovalent interactions, and interaction strengths, respectively. Evaluation of explicit and hybrid models assesses their effectiveness in representing intermolecular interactions. This research enhances our understanding of molecular interactions in the KOH-EG system, which are essential for both the absorption and desorption of CO2. The study also aids in predicting and selecting DES components, optimizing their ratios with salts, and fine-tuning the properties of similar solvents and salts for enhanced CO2 capture efficiency.

Artificial intelligence‐driven sustainability: Enhancing carbon capture for sustainable development goals– A review

AbstractArtificial intelligence (AI) and environmental points are equally important components within the response to local weather change. Therefore, based on the efforts of reducing carbon emissions more efficiently and effectively, this study tries to focus on AI integration with carbon capture technology. The urgency of tackling climate change means we need more advanced carbon capture, and this is an area where AI can make a huge impact in how these technologies are operated and managed. It will minimize manufacturing emissions and improve both resource efficiency as well as our planet's environmental footprint by turning waste into something of value again. Artificial intelligence could be leveraged to analyze huge data sets from carbon capture plants, searching for optimal system settings and more efficient ways of identifying patterns in the available information at a larger scale than currently possible. In addition, AI incorporated sensors and monitoring mechanisms in the supply chain can identify any operational failure at reception itself allowing for timely action to protect those areas. Artificial intelligence also helps generative design for carbon capture materials, which allows researchers to explore new types of carbon‐absorbing material, including metal–organic frameworks and polymeric materials that are important in industrial CO2, such as moisture. In addition, it increases the accuracy of reservoir simulations and controls CO2 injection systems for storage or enhanced oil recovery. Through applying AI algorithms on reservoir geology, production performance and real‐time data this study would like to facilitate the optimization of injection processes as well as minimize CO2 emissions while assuring a maximum efficiency. Artificial intelligence integrates with renewable‐based carbon capture efforts that can be employed by AI‐driven smart grid systems to improve carbon capture methods.

8509 Molecular and Reproductive Assessment in Ames strain under or not Hormonal Replacement

Abstract Disclosure: B.V. Azevedo: None. N. Trigueiro: None. J.M. Marques: None. V. Yariwake: None. L. Tamashiro: None. R. Cruz: None. M.M. Veras: None. L. Carvalho: None. Introduction: The Ames lineage, a mouse model with a mutation in the Prop1 gene, exhibits GH, TSH, and PRL deficiencies along with low levels of gonadotropins. This has prompted an investigation into aging and reproductive restoration after hormone replacement reported in the literature. Aims: The present study aims to analyze the pathophysiologic mechanisms in the reproductive system and fertility restoration. Methods: This is a prospective study approved by the ethical committee for animal use at the University of Sao Paulo Medical School. An isogenic Ames lineage was categorized into four groups: 1) Ames wild-type mice, 2) untreated Ames dwarf mice with sexual maturity, 3) untreated Ames dwarf mice without sexual maturity, and 4) Ames dwarf mice under hormonal treatment. Male Ames dwarf mice received treatment with levothyroxine and human recombinant GH, starting at 30 days postnatal (dp) for 40 days, followed by weekly applications until 90 dp. At the time of euthanasia, a set of analyses were conducted on animals from each group to characterize sexual maturation, fertility, and tissue collection for reproductive parameter analyses, such as seminiferous tubule morphology by histology, testicular weight, gonadosomatic index, and spermogram analysis. Additionally, pituitary RNAseq was performed using the poly-A tail capture method with the Illumina stranded mRNA prep kit and sequenced on the NextSeq 2000. Results: Treated dwarf mice exhibited fertility restoration, an increase in testicular volume with an improvement of testicular function, and complete spermatogenesis. Untreated Ames dwarf mice were infertile, but those that reached sexual maturity without hormonal replacement showed improvements in reproductive parameters, such as enhanced testicular development, maturation of some seminiferous tubules, increased testicular weight, and improvement in the spermogram compared to immature Ames dwarf mice. Transcriptome analyses revealed distinct patterns of all Ames dwarf mice groups and the wild-type. It was observed a decrease in Fshb expression in the group without sexual maturation compared to the wild-type group. Additionally, Prl and Slc6a12 were upregulated in the spontaneously sexually mature Ames dwarf compared to the non-restored Ames dwarf mice. Conclusion: GH and levothyroxine treatment in the Ames lineage are effective in restoring fertility and improving reproductive parameters in male Ames dwarf mice. However, sexually mature Ames dwarf mice without treatment presented improvements in reproductive and molecular parameters despite remaining infertile. These findings provide valuable insights into the complex interaction among hormonal replacement, modulating mechanisms, and sexual maturity. Presentation: 6/2/2024

8509 Molecular and Reproductive Assessment in Ames strain under or not Hormonal Replacement

Abstract Disclosure: B.V. Azevedo: None. N. Trigueiro: None. J.M. Marques: None. V. Yariwake: None. L. Tamashiro: None. R. Cruz: None. M.M. Veras: None. L. Carvalho: None. Introduction: The Ames lineage, a mouse model with a mutation in the Prop1 gene, exhibits GH, TSH, and PRL deficiencies along with low levels of gonadotropins. This has prompted an investigation into aging and reproductive restoration after hormone replacement reported in the literature. Aims: The present study aims to analyze the pathophysiologic mechanisms in the reproductive system and fertility restoration. Methods: This is a prospective study approved by the ethical committee for animal use at the University of Sao Paulo Medical School. An isogenic Ames lineage was categorized into four groups: 1) Ames wild-type mice, 2) untreated Ames dwarf mice with sexual maturity, 3) untreated Ames dwarf mice without sexual maturity, and 4) Ames dwarf mice under hormonal treatment. Male Ames dwarf mice received treatment with levothyroxine and human recombinant GH, starting at 30 days postnatal (dp) for 40 days, followed by weekly applications until 90 dp. At the time of euthanasia, a set of analyses were conducted on animals from each group to characterize sexual maturation, fertility, and tissue collection for reproductive parameter analyses, such as seminiferous tubule morphology by histology, testicular weight, gonadosomatic index, and spermogram analysis. Additionally, pituitary RNAseq was performed using the poly-A tail capture method with the Illumina stranded mRNA prep kit and sequenced on the NextSeq 2000. Results: Treated dwarf mice exhibited fertility restoration, an increase in testicular volume with an improvement of testicular function, and complete spermatogenesis. Untreated Ames dwarf mice were infertile, but those that reached sexual maturity without hormonal replacement showed improvements in reproductive parameters, such as enhanced testicular development, maturation of some seminiferous tubules, increased testicular weight, and improvement in the spermogram compared to immature Ames dwarf mice. Transcriptome analyses revealed distinct patterns of all Ames dwarf mice groups and the wild-type. It was observed a decrease in Fshb expression in the group without sexual maturation compared to the wild-type group. Additionally, Prl and Slc6a12 were upregulated in the spontaneously sexually mature Ames dwarf compared to the non-restored Ames dwarf mice. Conclusion: GH and levothyroxine treatment in the Ames lineage are effective in restoring fertility and improving reproductive parameters in male Ames dwarf mice. However, sexually mature Ames dwarf mice without treatment presented improvements in reproductive and molecular parameters despite remaining infertile. These findings provide valuable insights into the complex interaction among hormonal replacement, modulating mechanisms, and sexual maturity. Presentation: 6/2/2024

Ash Interaction with Two Cu-Based Magnetic Oxygen Carriers during Biomass Combustion by the Chemical Looping with Oxygen Uncoupling Process.

Chemical-looping combustion (CLC) stands out as a promising method for carbon capture and storage for the purpose of mitigating climate change. The process involves the conversion of fuel facilitated by an oxygen carrier, with the resulting CO2 inherently separated from other air components. Notably, when applied to biomass combustion this process offers a pathway to achieving negative CO2 emissions. However, a significant challenge for CLC, particularly in its application to biomass, is the management of interactions between ash and oxygen carriers. Biomass-derived ashes typically contain substantial quantities of reactive ash-forming substances, such as alkaline and alkali earth elements. These interactions can impact the performance and longevity of the oxygen carrier, necessitating careful consideration and mitigation strategies in CLC systems utilizing biomass feedstocks. This study examined the interaction between biomass ash components and two recently developed oxygen carriers, Cu30MnFekao7.5 and Cu30MnFe, during combustion in a 1.5 kWth continuous unit. Both oxygen carriers achieved 100% combustion efficiency and a CO2 capture efficiency of 95% at 900 °C. Although the copper in both oxygen carriers did not exhibit any noticeable interaction with ash components, the accumulative presence of potassium and magnesium in Cu30MnFekao7.5 was identified by inductively coupled plasma and scanning electron microscopy with energy dispersive X-ray analysis, indicating an increase in the amount of both elements in the particles after combustion operation. No problems of agglomeration or fluidization were observed in any of the experiments.