Research Foundation Research Articles

DeepGenomeScan of 15 Worldwide Bovine Populations Detects Spatially Varying Positive Selection Signals.

Identifying genomic regions under selection is essential for understanding the genetic mechanisms driving species evolution and adaptation. Traditional methods often fall short in detecting complex, spatially varying selection signals. Recent advances in deep learning, however, present promising new approaches for uncovering subtle selection signals that traditional methods might miss. In this study, we utilized the deep learning framework DeepGenomeScan to detect spatially varying selection signatures across 15 bovine populations worldwide. Our analysis uncovered novel insights into selective sweep hotspots within the bovine genome, revealing key genes associated with physiological and adaptive traits that were previously undetected. We identified significant quantitative trait loci linked to milk protein and fat percentages. By comparing the selection signatures identified in this study with those reported in the Bovine Genome Variation Database, we discovered 38 novel genes under selection that were not identified through traditional methods. These genes are primarily associated with milk and meat yield and quality. Our findings enhance our understanding of spatially varying selection's impact on bovine genomic diversity, laying a foundation for future research in genetic improvement and conservation. This is the first deep learning-based study of selection signatures in cattle, offering new insights for evolutionary and livestock genomics research.

Effects of pleiotrophin (PTN) on the FAK inhibitor Y15 in breast cancer cells

Overexpression of PTN (Pleiotrophin) in breast cancer cells stimulates breast cell proliferation and anti-apoptosis via the FAK/Src signaling pathway.1,2,4,5-Benzenetetramine tetrahydrochloride (C6H14Cl4N4) known as Y15 is an inhibitor that specifically blocks phosphorylation of Y397-FAK and total FAK phosphorylation. The exogenous PTN protein was induced to be expressed by a prokaryotic expression strain. The addition of PTN protein decreased the sensitivity of breast cancer cells to Y15, as shown by both MTT and flow cytometry assays. Breast cancer cells transfected with sh-RNA knockdown PTN were analyzed by real-time fluorescence quantitative PCR reaction (RT-PCR) and protein immunoblotting 24 h after transfection. MTT assay data showed a significant increase in the IC50 value of Y15 against breast cancer cells in the presence of PTN protein. Flow cytometry data confirmed the dose-dependent anti-apoptotic effect of PTN protein in Y15-treated breast cancer cells. After transfection with sh-RNA, Y15 further inhibited the FAK pathway, greatly reducing cell survival and promoting apoptosis. Western blotting analysis showed that knockdown of PTN protein with sh-RNA resulted in increased apoptosis and elevated levels of apoptotic proteins, such as cleaved PARP and cleaved caspase-3 in Y15-induced breast cancer cells. Finally, it was hypothesized that PTN and Y15 were associated with a significant increase in the IC50 value of PTN and Y15 in breast cancer cells by western blotting analysis. It was hypothesized that PTN and Y15 regulate the proliferation and apoptosis of breast cancer cells through the AKT/PI3K pathway. The results demonstrated that PTN affects the sensitivity of the kinase inhibitor Y15, and PTN silencing and Y15 may inhibit the survival of breast cancer cells through the AKT/PI3K pathway, which lays the foundation for subsequent in-depth research on the clinical treatment of breast cancer.

Comprehensive, Genome-Wide Identification and Expression Analyses of Phenylalanine Ammonia-Lyase Family under Abiotic Stresses in Brassica oleracea.

Phenylalanine ammonia-lyase (PAL) acts as the rate-limiting enzyme for anthocyanin biosynthesis through the phenylpropanoid pathway, a crucial component of plant secondary metabolism. The PAL gene family plays a crucial role in plants' defense and stress responses, but its in silico identification and expression analyses in Brassica oleracea under different abiotic stresses remain unexplored. In this study, nine BolPAL, seven BrPAL, four AtPAL, and seventeen BnPAL genes were obtained from the genomes of B. oleracea, Brassica rapa, Arabidopsis thaliana, and Brassica napus, respectively. Segmental duplication and purifying selection are the causes of the BolPAL gene's amplification and evolution. The BolPAL genes with comparable intron-exon architectures and motifs were grouped together in the same clade. Three categories comprised the cis-regulatory elements: abiotic stressors, phytohormones, and light. According to the results of the qRT-PCR experiments, the majority of the BolPAL genes were expressed highly under MeJA, a low temperature, and a high temperature, and they were downregulated under ABA. Under white light (100 µmol m-2 s-1) with 50, 100, or 150 µmol m-2 s-1 far-red (FR), only a small number of the PAL genes were expressed at 50 and 100 µmol m-2 s-1 FR, while the majority of the PAL genes were slightly elevated at 150 µmol m-2 s-1 FR. This work offers a theoretical foundation for molecular breeding research to investigate the role of BolPAL genes and their role in anthocyanin biosynthesis.

Sweden: multiculturalism and specifics of religious freedom’s realization in secular state

Sweden has a long history of being a monoconfessional state. However, in the 20th – 21st centuries the composition of Swedish society has changed, leading the country into a crisis caused by the policy of ignoring the needs of ethnic and religious minorities. In recent years, multidisciplinary research works have been focused on finding a ground of the current social and political destabilization in this country caused by on-going religion- and ethic-based conflicts between its nationals. Some of them suggest that Sweden is not a secular but a clerical state, others – that there is a gap in its legislation.The author of the article offers another point of view, according to which, the Swedish law enforcer distorts the constitutional and legal meaning of the provisions on religious freedom that occurs under the influence of historical specifics of the development of Swedish law, hence the lack of uniformity in law enforcement practice for the implementation of this fundamental human right.The subject of the study is the norms of the legislation of Sweden, including historical legal acts and documents, as well as relevant court cases and key findings of domestic and foreign research works.Objective: to prove the influence of historical specifics of the development of Swedish law on the current legal enforcement practice under which the distortion of the constitutional and legal meaning by the Swedish law enforcement takes place.Methods: the author employs a combination of general (content-analysis, case-study, formal logical method, generalization etc.) and private scientific methods (formal judicial methods, concrete sociological method of studying state and legal phenomena etc).Results: The obtained results demonstrate that Swedish law enforcement has been given an opportunity for a broad interpretation of constitutional norms. The author identifies the distortion of the constitutional and legal meaning in provisions that provide a special status to followers of the evangelical faith, on the one hand, and a partial ban on religious and ethnic minorities from expressing their confessional affiliation, on the other. The analysis of specifics of the development of Swedish law demonstrates the possible ground of the existing constitutional inequality is the historically discriminatory nature of the legislation in relation to followers of other religious cults. These results can be used as a foundation for future research in the field of realization of religious liberty in multicultural states.

Genome-wide analysis of the potato GRF gene family and their expression profiles in response to hormone and Ralstonia solanacearum infection.

Potato (Solanum tuberosum L.) is one of the most economically significant crops globally. Nevertheless, potato cultivation is becoming increasingly susceptible to a multitude of diseases, including bacterial wilt, which is caused by Ralstonia solanacearum. To identify the GRF gene family in potatoes and to examine their expression profiles in response to hormones and R. solanacearum infection. A comprehensive genome-wide analysis was conducted to identify the GRF gene family in the potato genome. A total of 13 GRF genes were identified from the latest potato genome, including five StGRFs belonging to the ɛ group and eight of the non-ɛ group. The transcriptional responses of the StGRFs to two biotic stress-related phytohormones (SA and MeJA) were defined, as well as the response to infection with R. solanacearum in a bacterial wilt-sensitive cultivar, S. tuberosum 'Qingshu 9'. Many StGRF genes exhibited high induction levels in response to R. solanacearum infection and SA treatment while displaying a marked decline in expression in the presence of MeJA. Furthermore, protein interaction network analysis revealed that the StGRF proteins interact with several candidate target proteins, indicating that GRF proteins are ubiquitous regulators in potatoes. However, the associations between two type III effectors (T3Es) RipAC/RipH2 from R. solanacearum isolates and StGRF7 were not detectable in a yeast two-hybrid assay. This study provides comprehensive information on the GRF gene family and lays a foundation for further research on the molecular mechanism of potato biotic stress adaptation.

Revisiting elastic string models of forward interest rates

Twenty five years ago, several authors proposed to describe the forward interest rate curve (FRC) as an elastic string along which idiosyncratic shocks propagate, accounting for the peculiar structure of the return correlation across different maturities. In this paper, we revisit the specific ‘stiff’ elastic string field theory of Baaquie and Bouchaud [Stiff field theory of interest rates and psychological future time. Wilmott Mag., 2004, 2–6] in a way that makes its micro-foundation more transparent. Our model can be interpreted as capturing the effect of market forces that set the rates of nearby tenors in a self-referential fashion. The model is parsimonious and accurately reproduces the whole correlation structure of the FRC over the time period 1994–2023, with an error around 1% and with only one adjustable parameter, the value of which being very stable across the last three decades. The dependence of correlation on time resolution (also called the Epps effect) is also faithfully reproduced within the model and leads to a cross-tenor information propagation time on the order of 30 minutes. Finally, we confirm that the perceived time in interest rate markets is a strongly sub-linear function of real time, as surmised by Baaquie and Bouchaud [Stiff field theory of interest rates and psychological future time. Wilmott Mag., 2004, 2–6]. In fact, our results are fully compatible with hyperbolic discounting, in line with the recent behavioral Finance literature Farmer and Geanakoplos [Hyperbolic Discounting is Rational: Valuing the Far Future with Uncertain Discount Rates, Cowles Foundation Discussion Papers, 2009 (Cowles Foundation for Research in Economics, Yale University)].

Unraveling the impact of pH, sodium concentration, and medium osmolality on Vibrio natriegens in batch processes

BackgroundVibrio natriegens, a halophilic marine γ-proteobacterium, holds immense biotechnological potential due to its remarkably short generation time of under ten minutes. However, the highest growth rates have been primarily observed on complex media, which often suffer from batch-to-batch variability affecting process stability and performance. Consistent bioprocesses necessitate the use of chemically defined media, which are usually optimized for fermenters with pH and dissolved oxygen tension (DOT) regulation, both of which are not applied during early-stage cultivations in shake flasks or microtiter plates. Existing studies on V. natriegens’ growth on mineral media report partially conflicting results, and a comprehensive study examining the combined effects of pH buffering, sodium concentration, and medium osmolality is lacking.ResultsThis study evaluates the influence of sodium concentration, pH buffering, and medium osmolality on the growth of V. natriegens under unregulated small-scale conditions. The maximum growth rate, time of glucose depletion, as well as the onset of stationary phase were observed through online-monitoring the oxygen transfer rate. The results revealed optimal growth conditions at an initial pH of 8.0 with a minimum of 300 mM MOPS buffer for media containing 20 g/L glucose or 180 mM MOPS for media with 10 g/L glucose. Optimal sodium chloride supplementation was found to be between 7.5 and 15 g/L, lower than previously reported ranges. This is advantageous for reducing industrial corrosion issues. Additionally, an osmolality range of 1 to 1.6 Osmol/kg was determined to be optimal for growth. Under these optimized conditions, V. natriegens achieved a growth rate of 1.97 ± 0.13 1/h over a period of 1 h at 37 °C, the highest reported rate for this organism on a mineral medium.ConclusionThis study provides guidelines for cultivating V. natriegens in early-stage laboratory settings without pH and DOT regulation. The findings suggest a lower optimal sodium chloride range than previously reported and establish an osmolality window for optimal growth, thereby advancing the understanding of V. natriegens’ physiology. In addition, this study offers a foundation for future research into the effects of different ions and carbon sources on V. natriegens.

Prevalence of antibiotic resistance genes, heavy metal, and bacterial community composition in sea sediments influenced by Eriocheir sinensis breeding aquaculture.

Eriocheir sinensis is the main aquaculture species in China. With the continuous expansion of the aquaculture scale, the demand for E. sinensis seedlings was also increased. The water used in breeding has well-nourished and its discharge into the sea posed significant risks. This study sampled the wastewater discharge points of the E. sinensis seedlings in Sheyang County, Jiangsu Province, and the areas far from the discharge points that were not affected in March and May 2023, respectively. A large number of antibiotic resistance genes (ARGs) were found in the sediment of the wastewater discharge area, and the highest ARG was sulfonamide ARG-sul1 using qPCR analysis, while ARGs were almost undetectable in the areas not affected by wastewater discharge. The 16S rRNA sequence analysis results showed that the main bacterial phyla at the wastewater discharge point were Bacteroidetes, Proteobacteria, and Thermodesulfobacteria. In the control point, the main bacterial phyla were Proteobacteria, Chlorobacterium, and Thermodesulfobacteria. There were significant differences in the composition of microbial communities between the two points, and the samples at the wastewater discharge point were more clustered and had higher similarity. The correlation network and redundancy analysis indicated that the phyla Bacteroidetes, Firmicutes, and Proteobacteria at the wastewater discharge points were positively correlated with most ARGs. The wastewater discharge had no effect on heavy metals from the two points. This study sets a foundation for future research by identifying key microbial taxa as potential ARG carriers and examining the interactions between microbial communities, ARGs, and heavy metals.

UV-radiation manufacturing of natural macromolecular products salecan and tannic acid-based functional gel material as superadsorbent for toluidine blue remediation

Adsorbent materials constructed from natural macromolecular products are favored because of their wide range of sources, biodegradability, and environmental friendliness. Salecan is a novel extracellular polysaccharide with ideal physicochemical and biological activities. Here, we have designed a polymer gel through UV-initiated polymerization of [2-(Methacryloyloxy) ethyl] dimethyl-(3-sulfopropyl) ammonium hydroxide (SBMA) in the mixture of salecan and tannic acid. Photopatterned polymerization process allowed in situ formation of gel adsorbent in a mild reaction condition with energy-efficient manner. Batch experiments for toluidine blue (TB) adsorption were carried out as a function of initial dye concentration, solution pH, contact time, and gel dosage to examine the adsorption capacity, potential mechanism, and removal efficiency. Adsorption behavior exhibited a pH-dependence pattern, which was closely related to their swelling and morphological properties. Adsorption process was in conformity to pseudo-second-order kinetic and Langmuir isotherm models, unlocking a chemical adsorption behavior and monolayer-type removal. The maximum adsorption was 490.2 mg/g, which could be considered a superiorly competing value. Additionally, the UV-gel still showed desirable recyclability and maintained the adsorption effectiveness over 95 % after five regeneration cycles. This study opened up new prospects in preparing high performance adsorbent for TB decontamination and laid the foundation for polysaccharide-based adsorption material research.

Advancing Zn-ion Battery Electrodes: Exploring the Potential of Graphene-Polythiophene Nanocomposites through First-Principles Analysis

AbstractThis research investigates the electronic and electrochemical properties of graphene-polythiophene (G/Pth) nanocomposites, as potential anode materials for Zn-ion batteries. By capitalizing on the distinctive attributes of these constituent materials, the research aims to unravel critical aspects, such as: interaction studies, electronic structure, charge transfer, charge density difference, the density of states (DOS), theoretical specific capacity, open circuit voltage, Zn-ion diffusion, and the structural stability of G/Pth. The findings present compelling insights into the adsorption process, revealing an exothermic adsorption energy of -2.79 eV and an adsorption height of 3.51 Å for the polythiophene onto the graphene nanosheets. The loading of Zn atoms onto the G/Pth nanocomposite, yields a noteworthy maximum specific capacity of 585 mAh/g. The nanocomposite exhibits an exceptionally low Zn diffusion barrier of 6 meV, thereby, facilitating a swift Zn diffusion across its surface. These results suggest the promising potential of G/Pth nanocomposites as anode materials for Zn-ion batteries, and hence, providing valuable insights into their electronic and structural properties. It is believed that this study, has significantly, contributed to the advancement of the comprehension of polymer substrate-based energy storage materials. Also, it establishes a foundation for further research to develop more effective and efficient solutions for energy storage in Zn-ion batteries. Graphical Abstract

Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

Translating findings from animal models to human disease is essential for dissecting disease mechanisms, developing and testing precise therapeutic strategies. The coronavirus disease 2019 (COVID-19) pandemic has highlighted this need, particularly for models showing disease severity-dependent immune responses. Single-cell transcriptomics (scRNAseq) is well poised to reveal similarities and differences between species at the molecular and cellular level with unprecedented resolution. However, computational methods enabling detailed matching are still scarce. Here, we provide a structured scRNAseq-based approach that we applied to scRNAseq from blood leukocytes originating from humans and hamsters affected with moderate or severe COVID-19. Integration of data from patients with COVID-19 with two hamster models that develop moderate (Syrian hamster, Mesocricetus auratus) or severe (Roborovski hamster, Phodopus roborovskii) disease revealed that most cellular states are shared across species. A neural network-based analysis using variational autoencoders quantified the overall transcriptomic similarity across species and severity levels, showing highest similarity between neutrophils of Roborovski hamsters and patients with severe COVID-19, while Syrian hamsters better matched patients with moderate disease, particularly in classical monocytes. We further used transcriptome-wide differential expression analysis to identify which disease stages and cell types display strongest transcriptional changes. Consistently, hamsters' response to COVID-19 was most similar to humans in monocytes and neutrophils. Disease-linked pathways found in all species specifically related to interferon response or inhibition of viral replication. Analysis of candidate genes and signatures supported the results. Our structured neural network-supported workflow could be applied to other diseases, allowing better identification of suitable animal models with similar pathomechanisms across species. This work was supported by German Federal Ministry of Education and Research, (BMBF) grant IDs: 01ZX1304B, 01ZX1604B, 01ZX1906A, 01ZX1906B, 01KI2124, 01IS18026B and German Research Foundation (DFG) grant IDs: 14933180,431232613.

Wavelength-Based luminescence sensing via Turn-On responses for acid detection in complex Environments

One possible way to address the shortcomings of current acid detection is to add fluorescence detection capabilities, however, there is little data regarding wavelength-based luminescence sensing, which makes possible for the naked eye to perceive various colors through wavelength variations. In this paper, we achieved turn-on response and wavelength-based luminescence sensing on acids detection by using donor-accepter complex Fe-L, which display significant fluorescence discoloration in the presence of a wide range of inorganic and organic acids, including benzoic acids, providing the fluorescence response for a more intuitive and convenient acid detection. The simultaneous achievement of fluorescence enhancement and color change as the acid concentration changes enables visual detection of the acid concentration, which provides a foundation for future research into convenient detection methods for various types of acids.

The Battle of LPS Clearance in Host Defense vs. Inflammatory Signaling.

Lipopolysaccharide (LPS) in blood circulation causes endotoxemia and is linked to various disease conditions. Current treatments focus on preventing LPS from interacting with its receptor Toll-like receptor 4 (TLR4) and reducing inflammation. However, our body has a natural defense mechanism: reticuloendothelial cells in the liver rapidly degrade and inactivate much of the circulating LPS within minutes. But this LPS clearance mechanism is not perfect. Excessive LPS that escape this clearance mechanism cause systemic inflammatory damage through TLR4. Despite its importance, the role of reticuloendothelial cells in LPS elimination is not well-studied, especially regarding the specific cells, receptors, and mechanisms involved. This gap hampers the development of effective therapies for endotoxemia and related diseases. This review consolidates the current understanding of LPS clearance, narrates known and explores potential mechanisms, and discusses the relationship between LPS clearance and LPS signaling. It also aims to highlight key insights that can guide the development of strategies to reduce circulating LPS by way of bolstering host defense mechanisms. Ultimately, we seek to provide a foundation for future research that could lead to innovative approaches for enhancing the body's natural ability to clear LPS and thereby lower the risk of endotoxin-related inflammatory diseases, including sepsis.

Abstract C102: Polyethnic-1000: Advancing cancer genomics by studying ethnically diverse, underserved patient populations in New York

Abstract Prompted by the considerable biases toward European ancestry cases in large cancer genomics repositories, the New York Genome Center initiated an effort to diversify the public datasets that are forming the foundations of current cancer research, in order to optimize the unbiased applications of modern genomically-driven discoveries to a larger population. Our effort was focused on 8 cancer types (breast, prostate, bladder, lung, pancreatic, colon and endometrial cancer, as well as multiple myeloma) and generated Illumina tumor-normal whole-genome sequencing and tumor transcriptome sequencing. The majority of the samples were retrospectively obtained in clinics and hospitals of the New York region and the analyses are conducted with collaborators in these institutions. Our dataset is currently composed of 851 tumor-normal WGS and 471 RNASeq, and is progressively being distributed to the scientific community in partnership with ICGC-ARGO. Overall, 75% of the cohort is predominantly of non-European ancestry, as estimated by genetic ancestry analysis using the 1000Genomes continental references.We analyzed the samples with NYGC’s somatic variant calling pipeline and will present results from the 8 cancer types related to germline and somatic variants (single-nucleotide variants, indels, copy-number alterations, complex structural variants) as well as mutational signatures, neoantigen prediction, fusion genes and expression profiles, in relation to genetic ancestry estimation and clinical features of the patients. We anticipate that the dataset will significantly diversify the genetic ancestry of tumor profiles in public databases, and serve to form hypotheses regarding the contribution of ancestry on cancer disparities. The experience of the Polyethnic-1000 project informs our contribution to the Cancer Grand Challenge SAMBAI, which focuses on breast, prostate and pancreatic cancers in the African Diaspora. SAMBAI will further investigate the causes of cancer disparity by combining genomic data with social determinants of health and exposomics information, deeper immune profiling and new genomics technologies such as long reads sequencing and the use of a pangenome reference. Citation Format: Nicolas Robine, Lara Winterkorn, Tim Chu, Zoe Goldstein, Will Hooper, Ali Oku, Heather M. Geiger, Melissa B. Davis, Onyinye Balogun. Polyethnic-1000: Advancing cancer genomics by studying ethnically diverse, underserved patient populations in New York [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C102.

The energy output equilibrium scheme with intermediate energy storage for tokamak fusion power plant

Different from the design of nuclear fission power plant, the design of fusion power plant needs to consider the problem of discontinuous fusion energy output from nuclear island. This paper proposed an energy output equilibrium scheme for fusion power plant. Based on analysis and comparison, thermal energy storage method was adopted, and two system operation schemes for fusion power plant were further proposed. Finally, system thermal storage calculation and analysis were conducted under WCCB blanket and HCCB blanket respectively, and conclusions were drawn on the applicable system operation scheme under different blankets. This study provides research foundation and engineering reference for the design and construction of future fusion power plants.

Contraceptive access and use among women with migratory experience living in high-income countries: a scoping review

BackgroundWomen who have migrated often encounter difficulties in accessing healthcare and experience inequitable sexual and reproductive health outcomes in destination countries. These health inequities include contraceptive access and use. To better understand what influences contraceptive access and use, this scoping review set out to synthesize the evidence on contraceptive access and use and on associated interventions among women with migratory experience in high-income countries (HICs) in Europe, North America and Australasia.MethodsThe scientific databases PubMed, Web of Science and CINAHL were searched for peer-reviewed quantitative, qualitative and mixed method articles published between January 2000 and June 2023. Articles were included if they reported on studies exploring contraceptive use to prevent pregnancies among women of reproductive age with migratory experience living in HICs. Two researchers independently screened and extracted data from the articles. Findings were categorized by patient and health system level factors according to Levesque et al.’s framework of access to health care.ResultsA total of 68 articles were included, about half (n = 32) from North America. The articles focused on the individual level rather than the health system level, including aspects such as women’s contraceptive knowledge, the influence of culture and religion on accessing and using contraception, partner involvement, and differing health insurance coverage. On the health system level, the articles highlighted lack of information on contraceptive services, cultural (in)adequacy of services and communication aspects, contraceptives’ side effects, as well as geographic availability and cost of services. The review further identified three articles reporting on interventions related to contraceptive counselling.ConclusionsThere is a lack of knowledge regarding how health systems impose obstacles to contraceptive services for women with migratory experience on an organizational level, as research has focused heavily on the individual level. This review’s findings may serve as a foundation for further research and advances in policy and practice, specifically recommending early provision of health system related information and contraceptive education, engagement of male partners in contraceptive discourses, cultural competency training for healthcare professionals, and strengthening of interpretation services for contraceptive counselling.

Strategically Prioritizing Type-Specific Innovations at the Stages of the Supply Chain Resilience Cycle: A Contingency Framework

Faced with various disruptions and crises, supply chain decision-makers are eager to enhance their supply chain resilience (SCRES), and they have realized that innovation could be a powerful tool for enhancing SCRES. This paper investigates the relationship between innovation and SCRES by analyzing the types of innovation at the SCRES stages. We contend that innovation positively impacts SCRES if investment in type-specific innovation is strategically planned and prioritized. The proposed research framework demonstrates this relationship and guides how to prioritize type-specific innovation at each stage of the SCRES cycle. This research builds a foundation for future research on the interrelationship between innovation and SCRES. It offers supply chain practitioners a roadmap for investing in type-specific innovation at each stage of the SCRES cycle.

Experimental evaluation of municipal solid waste air-gasification in a pilot-scale reciprocating moving-grate furnace

The increasing volume of municipal solid waste (MSW) worldwide presents significant environmental challenges, necessitating the development of efficient waste-to-energy (WtE) solutions. Among various thermochemical methods, gasification offers a promising approach for converting MSW into syngas, which can be utilized for energy generation. This study investigates the gasification characteristics of MSW in a pilot-scale reciprocating moving-grate furnace, focusing on the effect of key operating parameters such as equivalence ratio (ER), gasification temperature, and gasifying agent-staged ratio on gasification characteristics.Seven experimental schemes were tested with varying lower heating values (LHV) of MSW (ranging from 6.98 to 15.1 MJ/kg) and throughputs (ranging from 0.77 to 1.67 tons per day) to assess the adaptability and stability of the moving-grate system under different conditions. The results indicate that an ER between 0.6 and 0.7, a gasification temperature of 760 °C, and a gasifying agent-staged ratio of 7:3 are optimal for achieving a maximum energy conversion efficiency of 71.6 %. It was observed that the LHV of syngas decreases when the gasification temperature exceeds 850 °C due to increased oxidation of light hydrocarbons. Moreover, the study highlights the influence of grate moving speed on residence time and reaction completeness, which are critical for optimizing syngas yield and quality.The findings demonstrate that while the maximum energy conversion efficiency of the moving-grate system is lower than other reactor types, its lower capital and operating costs, due to the lack of dedicated feedstock pretreatment, make it a viable option for small-scale and pilot-scale applications. This study provides valuable insights into optimizing MSW gasification processes and underscores the potential of the moving-grate furnace for adaptable and cost-effective WtE applications. The novelty of this work lies in the comprehensive evaluation of the moving-grate gasification process under varied operating conditions, providing a foundation for future research on improving efficiency and reducing environmental impact in large-scale MSW management.

Effect of internal fluid and external shear flow on vortex-induced vibration response of drilling riser

This study introduces a new numerical tool for exploring the impact of various dimensionless parameters on vortex-induced vibration in risers. The tool is based on an innovative coupled model of a riser and a modified wake oscillator, which integrates the effects of internal axial flow and external cross flow. The dynamic equations are discretized using a second-order finite difference method in both time and space domains. Simulations reveal multi-modal behavior in the riser's vortex-induced vibration response, including lock-in and synchronous vibration. It is demonstrated that increasing internal flow velocity reduces response mode number and periodicity, and the riser becomes unstable when centrifugal force equals axial tension. The study also shows that higher maximum external flow velocities increase the frequency components of the riser's response and vortex shedding frequency range. A quarter-period phase difference between structural displacement and lift coefficient is observed, while lift coefficient and structural velocity remain synchronous. The lift frequency, as a function of position, jumps between neighboring sections of the riser. This tool provides a foundation for future research, with the cases explored serving as examples of its potential applications in investigating VIV phenomena.

Optimizing adipose-derived stromal vascular fraction storage: Temperature and time impact on cell viability in regenerative medicine.

The adipose-derived stromal vascular fraction (SVF) plays a crucial role in regenerative medicine owing to its regenerative and immunomodulatory properties. However, the effective utilization of SVF in therapeutic applications requires careful consideration of storage conditions to maintain cell viability. We conducted a research on 43 patients of different ages and sexes who were older than 18 years. This study explored the impact of different temperatures (-80, -20, and 4 °C) on SVF storage in platelet-poor plasma for 1 and 6 months. SVF extracted using a semi-UNISTATION™ system was subjected to rigorous analysis of cell count and viability using a LUNA-STEM™ Dual Fluorescence Cell Counter. The results indicated a significant correlation between the storage conditions and SVF viability. Notably, storing SVF at 4 °C demonstrated the highest cell viability and count, while -80 °C storage exhibited the least favorable outcomes. This study emphasizes the importance of minimizing storage time to preserve SVF viability, as evidenced by a decline in both cell count and viability over a 6-month period. Comparisons with the existing literature underscore the need for precise protocols for SVF storage, with considerations for temperature and cryoprotective agents. These findings provide valuable insights for developing optimal SVF storage protocols to enhance therapeutic outcomes and reduce the need for repeated adipose tissue harvesting. Despite the limitations of the study, such as the use of a cell counter instead of flow cytometry, the results establish the foundation for further research on refining SVF storage methods. The ideal storage temperature is from 4 °C, while the length of storage time inversely affects the viability of SVF; the longer the storage time, the lower the number and the viability of SVF cells, regardless of the temperature at which they are preserved.