Tracing Approach Research Articles

Life Cycle Assessment Approach for Tracing the Impact of Recreational Activities in Green Open Spaces, South Tangerang - Indonesia

South Tangerang has green open spaces currently widely used for community recreation, namely City Park 1 BSD and City Park 2 BSD. Recreational activities can contribute to environmental impacts. Life Cycle Assessment is an approach used to trace the impact of each recreational activity. This research aims to inventory inputs and outputs, calculate the magnitude of emissions based on impact categories, and formulate impact control scenarios for recreational activities in green open space, South Tangerang. The main data collected were the characteristics and activity patterns of visitors. At each recreational activity stage, the input type is identified, and the magnitude of emissions is calculated using the basic formula: Emissions = activity data x emission factor. The next stage is interpreting the results by formulating impact control scenarios. The identified inputs are gasoline and diesel fuel, electrical energy, urine, soap, and organic and inorganic solid waste. Emissions of transportation activities are CO2, N2O, CH4, SO2, and NO2; emissions of organic waste processing are N2O and CH4; emissions of inorganic waste processing are CH4; emissions of electricity use are CO2, SO2, and NO2; as well as emissions of using toilets and soapy water are CH4 and PO43–. Recreational activities in City Park 1 BSD produce greater emissions than in City Park 2 BSD, with hotspots in visitor transportation. Impact control can be carried out using two scenarios: limiting motorized vehicles' use and reducing plastic waste.

Target-induced proximity ligation triggers polymerase chain reaction for subset tracing of small extracellular vesicles.

The considerable abundance and remarkable stability of sEVs provide substantial benefits for diagnosing Alzheimer's disease. Therefore, precise tracking subtypes of small extracellular vesicles (sEVs) is crucial for screening novel diagnostic biomarkers and developing therapeutic technologies. We propose a three-target recognition-mediated proximity ligation assay for the precise identification of sEV subtypes utilizing three specifically designed probes: one for the exosomal surface protein CD63 recognition, one for fixing the biolipid layer, and the third for the identification of distinctive protein associated with a specific subtype of sEVs (L1CAM positive sEVs). The developed sEVs subtype tracing approach integrates proximity ligation of the three probes to specifically bind to surface biomarkers and polymerase chain reaction (PCR) for signal amplification, enabling "AND" logic analysis of three essential components on sEVs. This method can be utilized for both sEVs quantification and subtype tracing. The proposed approach demonstrated a low limit of detection for neuronal sEVs at 2.5 particles/μL, according to this design. In addition, we utilized this technique to measure plasma sEV levels in individuals with Alzheimer's disease and examined its early diagnostic effectiveness. The approach can assess the concentration ratios of neuronal sEVs and cancer-derived sEVs, highlighting its potential for clinical applications. In addition, the approach enables precise tracing and identification of sEVs subtypes, hence facilitating extensive applications in biological science, biomedical engineering, and personalized medicine.

Computational analysis of the effect of interaction heterogeneity on fluid-crystal coexistence in micron-scale colloidal systems.

Micron-scale colloidal particles with short-ranged attractions, e.g., colloids functionalized with single-stranded DNA oligomers, have emerged as a powerful platform for studying colloidal self-assembly phenomena with the long-term goal of identifying routes for metamaterial fabrication. Although these systems have been investigated extensively both experimentally and computationally, the role of "real world" features that may impact self-assembly in unexpected ways has been largely ignored. One such example of an important, yet underappreciated, feature is interaction heterogeneity (IH), i.e., variations in interparticle interaction strengths, which can arise from variability in the DNA strand areal density on particle surfaces during fabrication. A previous study demonstrated that IH can modulate nucleation and gelation kinetics under non-equilibrium conditions. Here, we investigate in detail the dependence of bulk fluid-crystal coexistence on IH. Using a multicomponent coexistence tracing approach, we compute phase diagrams for both Gaussian and bidisperse IH distributions, revealing that IH shifts the fluid-side coexistence boundaries outward, promoting crystallization at lower particle volume fractions while also resulting in crystals that are enhanced in the stronger binding species. Our results demonstrate that IH significantly influences crystallization behavior even under equilibrium conditions and provide a new perspective on tuning IH as a controllable parameter for optimizing colloidal self-assembly.

Prostate Luminal Cell Plasticity and Cancer.

Cellular plasticity in prostate cancer promotes treatment resistance. Several independent studies have used mouse models, single-cell RNA sequencing, and genetic lineage tracing approaches to characterize cellular differentiation and plasticity during prostate organogenesis, homeostasis and androgen-mediated tissue regeneration. We review these findings and recent work using immune-competent genetically-engineered mouse models to characterize cellular plasticity and clonal dynamic changes during prostate cancer progression. Collectively these studies highlight the influence of the tumor microenvironment and the function of epigenetic regulators in promoting cellular plasticity. How the epigenetic alternations that promote cell plasticity affect tumor immunogenicity remains an active area of research with implications for disease treatment.

CNSC-20. MONOSYNAPTIC TRACING DEFINES BRAIN-WIDE CIRCUIT CONNECTIVITY OF HUMAN GLIOBLASTOMA

Abstract Glioblastoma (GBM), a deadly brain cancer, infiltrates the brain and can be synaptically innervated by neurons. Synaptic inputs onto GBM cells identified so far are largely short-range and glutamatergic in nature. The extent of integration of GBM cells into the brain-wide neuronal circuitry is therefore not well understood. We report the application of transsynaptic viral tracing approaches to study the neuronal connectome of GBM. We applied rabies virus-mediated retrograde tracing and herpes simplex virus (HSV)-mediated anterograde tracing approaches to characterize presynaptic partners in vivo in the adult mouse brain and ex vivo with iPSC-derived neurons, cortical organoid-GBM assembloids, and human surgical specimens. After transplantation into adult mice, GBM cells derived from multiple patients rapidly integrated into brain-wide neuronal circuits. GBM exhibited increased connectivity rates compared to transplanted neural progenitor cells, highlighting functional connectivity as a hallmark of malignant cells. Beyond glutamatergic inputs, we identified neuromodulatory inputs across the brain, including cholinergic inputs from the basal forebrain. We validated these long-range cholinergic neuron-to-glioma synapses signaling through the metabotropic CHRM3 receptor by high-resolution microscopy, anterograde monosynaptic HSV tracing, calcium imaging, and patch-clamp electrophysiology. To interrogate the functional effects of acetylcholine (ACh) on GBM, we performed calcium imaging and RNA sequencing analyses, which showed that ACh stimulation induced sustained calcium oscillations and long-lasting transcriptional reprogramming of GBM cells into a more invasive state via CHRM3. Importantly, CHRM3 activation promoted GBM cell invasion, whereas CHRM3 downregulation suppressed GBM cell invasion in vitro and in vivo, suggesting CHRM3 as a potential therapeutic target for this disease. Together, these results reveal the capacity of human GBM cells to robustly integrate into anatomically and molecularly diverse neuronal circuitry in the adult brain. They also support a model wherein rapid synapse formation onto GBM cells may promote a long-lasting increase in tumor cell fitness.

CNSC-57. THE ROLE OF NEURON-TO-GLIOMA SYNAPTIC COMMUNICATION IN THERAPEUTIC RESISTANCE

Abstract Glioblastomas, primary brain tumors known for their extensive brain colonization and high therapeutic resistance, pose significant treatment challenges. Recent research has revealed that glioblastoma cells can form functional multicellular networks both with themselves, surrounding astrocytes and neurons. However, the investigation of the glioblastoma neuronal connectome has been limited by a lack of suitable methodologies. In this study, we utilized an adapted rabies-based retrograde tracing approach to characterize tumor-connected neurons and examine the neuronal connectome of the tumor in the context of therapy resistance. Our initial findings demonstrated that radiotherapy induces hyperexcitability in tumor-connected neurons, as shown by patch-clamp electrophysiology. This hyperexcitability was associated with an increase in neuron-tumor connectivity post-irradiation. To mitigate this increased neuronal input to therapy-resistant glioblastoma cells, we combined radiotherapy with the anti-epileptic drug perampanel. This combination therapy, which inhibits overall neuronal activity while delivering tumor cell-toxic photon irradiation, proved significantly more effective in reducing the number of therapy-resistant tumor cells. In summary, we employed a novel methodology to investigate the role of the neuronal tumor connectome in therapeutic resistance, identifying tumor-connected neurons as a potential target for improving glioblastoma treatment.

CNSC-11. INVESTIGATION OF GLIOBLASTOMA NEURON-TUMOR NETWORKS WITH RABIES-BASED RETROGRADE TRACING

Abstract Glioblastomas are primary brain tumors known for their whole-brain invasion and high therapeutic resistance. In previous studies, neuron-to-glioma synapses have been shown to promote glioblastoma progression. A deep characterization of this communication and of tumor-connected neurons has not been possible due to technological limitations. We adapted a rabies virus-based retrograde tracing approach to investigate and manipulate neuron-tumor networks. Interestingly, we found that glioblastoma cells rapidly integrated into neural circuits across the brain, engaging with distal neurons of diverse subtypes in very early stages of tumor development. Beyond glutamatergic neurons, we identified cholinergic neurons as drivers of glioblastoma cell invasion. We revealed patient- and tumor cell state-dependent differences in the expression of synaptogenic genes which also correlated with neuron-tumor connectivity and tumor cell invasivity. Notably, radiotherapy led to increased neuron-tumor connectivity mediated via neuronal hyperexcitability. The anti-epileptic drug perampanel alongside radiotherapy mitigated this effect and enhanced treatment efficacy by simultaneous neuronal activity inhibition. Utilizing our rabies-based approach, we genetically ablated tumor-connected neurons leading to a significantly decreased tumor progression offering a potential novel therapeutic avenue. Taken together, we developed a framework for dedicated analysis of multicellular neuron-tumor networks and propose our methodology as a versatile and adaptable approach to tackle glioblastoma.

A high-performance ray tracing particle tracking model for the simulation of microplastics in inland and coastal aquatic environments

In this study, we present a high-performance Particle Tracking Model (PTM) designed for simulating any type of particles, with a focus on microplastics. The PTM is efficient compared to existing models, parallelized, and utilizes a ray tracing algorithm incorporating both ray reflection and ray refraction in order to traverse particles as well as find the location of each particle over three-dimensional unstructured grids. Various numerical corrections are implemented in the model to address computational round-off errors and discontinuities in the water surface level of the input hydrodynamic models. To increase the accuracy of the model, partially reflective boundary conditions are imposed as well as the capability to simulate microplastics beaching and washout in very shallow areas or dry computational cells. Several tests are conducted to study the performance, scalability, and accuracy of the model. The proposed model is tested with over 3.88 billion double-precision particles on three-dimensional computational grids with up to approximately one million cells. The tests show that the ray tracing approach is efficient, achieves over 17× faster runtime, and offers greater accuracy compared to using an auxiliary grid for particle location finding. For larger timesteps, the ray tracing PTM with refraction shows improved accuracy compared to the ray tracing PTM without refraction. The model's capabilities are tested in a real-world case study over the Saguenay Fjord, Quebec, Canada. The model is utilized to reproduce the paths of five surface drifters. A second numerical test is conducted in the Fjord and high particle concentration areas are identified.

Performance Analysis of Millimeter-Wave Propagation Characteristics for Various Channel Models in the Indoor Environment

Due to the recent surge in the proliferation of smart wireless devices that feature higher data speeds, there has been a rise in demand for faster indoor data communication services. Moreover, there is a sharp increase in the amount of mobile data being generated worldwide, and much of this data comes from residential wireless applications like high-definition TV, device-to-device communication, and high data rate indoor networks (i.e., local and cellular). These technologies need large capacity, high data rate indoor wireless networks with huge bandwidth. Consequently, a greater interest exists in implementing an effective and trustworthy indoor propagation model for next-generation wireless systems operating in the massively bandwidth-rich millimeter wave (mm-wave) frequency range. The analysis of mm-wave propagation characteristics in an indoor environment using the ray tracing approach is proposed in this paper. Propagation modeling for 60 GHz bands is included. The aspects of wideband propagation characteristics such as angular spread, path loss, delay spread, and power delay profile are modeled in this paper. The position of transceivers, antenna effect, and attenuation, in the hallways, and stairwells will all be considered while determining the propagation parameters. This includes wave propagation characteristics like absorption, reflection, and diffraction by building structures and furniture. The specifications for propagation characteristics are included in the article for developing indoor local and cellular networks. In this paper, the IRT model has been tested at 60 GHz for potential mobile communication and is identified as the best method for predicting signal attenuation caused by objects, barriers, or humans within buildings in internal millimeter wave transmission.

Assembloid model to study loop circuits of the human nervous system.

Neural circuits connecting the cerebral cortex, the basal ganglia and the thalamus are fundamental networks for sensorimotor processing and their dysfunction has been consistently implicated in neuropsychiatric disorders 1-9 . These recursive, loop circuits have been investigated in animal models and by clinical neuroimaging, however, direct functional access to developing human neurons forming these networks has been limited. Here, we use human pluripotent stem cells to reconstruct an in vitro cortico-striatal-thalamic-cortical circuit by creating a four-part loop assembloid. More specifically, we generate regionalized neural organoids that resemble the key elements of the cortico-striatal-thalamic-cortical circuit, and functionally integrate them into loop assembloids using custom 3D-printed biocompatible wells. Volumetric and mesoscale calcium imaging, as well as extracellular recordings from individual parts of these assembloids reveal the emergence of synchronized patterns of neuronal activity. In addition, a multi-step rabies retrograde tracing approach demonstrate the formation of neuronal connectivity across the network in loop assembloids. Lastly, we apply this system to study heterozygous loss of ASH1L gene associated with autism spectrum disorder and Tourette syndrome and discover aberrant synchronized activity in disease model assembloids. Taken together, this human multi-cellular platform will facilitate functional investigations of the cortico-striatal-thalamic-cortical circuit in the context of early human development and in disease conditions.

Water sources and threshold behaviors of streamflow generation in a mountain headwater catchment

Numerous studies have analyzed the event-scale rainfall-runoff response of hillslopes and catchments. However, there are still knowledge gaps when it comes to understanding the spatiotemporal sources of headwater catchment runoff and the threshold behaviors of multiple runoff components. The aim of this study is to investigate the complex runoff generation mechanisms for 244 rainfall events in a humid headwater catchment of eastern China over five years (2011–2015). We employ a combined approach of isotopic tracing (δ2H and δ18O) and fully-integrated surface/subsurface flow modeling (HydroGeoSphere) to identify streamflow compositions and how the process chain of “rainfall infiltration, mixing with soil water, and subsequent exfiltration to the hillslope surface” impacts streamflow generation in headwater catchments. Our results show that the streamflow consists of event and pre-event water. Event water is composed of direct runoff from rainfall (2 % in the total streamflow) and indirect runoff from infiltrated rainfall (24 %). Pre-event water comprises the exfiltrated shallow soil water of indirect runoff (37 %) and subsurface flow (37 %). The study highlights the significant role of indirect runoff, comprising infiltrated rainfall and pre-event shallow soil water, in streamflow generation, reaching a peak proportion of 81.4 % during rainfall events. In addition, we quantify the threshold behaviors (including the generation threshold, and critical threshold from increasing to decreasing state) for surface and subsurface flow, based on the analysis of the non-linear rainfall-runoff relationships observed in the catchment. Results show that rainfall amount of 33 mm and rainfall intensity of 9 mm/d are generation thresholds for direct runoff and critical thresholds for proportion changes of exfiltrated shallow soil water. Critical thresholds of 55 mm for rainfall amount and 12 mm/d for rainfall intensity are identified for proportion changes of infiltrated rainfall and total indirect runoff. Our findings highlight that the combined analysis of hydrological modeling and isotopic tracing provides an effective solution for quantifying the roles of dominant water components in streamflow generation and elucidate the distinct threshold behaviors during rainfall events. Enhancing our comprehension of streamflow origins and their response mechanisms to rainfall events will improve the understanding of streamflow generation in headwater catchments.

Directional excitation of structural vibrations due to correlated sources

Dynamical Energy Analysis (DEA) is an approach used to compute the vibro-acoustic response of complex structures to externally applied high-frequency excitation. DEA tracks the global energy flow in a structure in terms of a local ray tracing approach implemented on meshes. Due to its in-built directional set-up, the approach is ideally suited for modelling the response of structures to directional excitation. Examples thereof are dipole sources or - more generally - correlated and distributed source excitation such as due to a Turbulent Boundary Layer (TBL) excitation across an aircraft wing during flight. We will demonstrate here how such directional sources are implemented in a DEA setting. TBL induced sources or general correlated sources can be described in terms of appropriate force or wave correlation functions (CF). Using Wigner-transformation, these CFs can be associated with a directional energy flow source. Vibrational energy field results are presented for a pair of phase-locked point forces. Results are also presented for 9 point-sources, which demonstrate the ability to channel the energy flow away from the sources by carefully choosing their relative phases. An implementation of this approach within DEA is also presented, with results demonstrating strong agreement with direct calculations.

Turkey’s Contact Tracing Infrastructure From Security and Privacy Perspective

Contact tracing applications may lead to security and privacy concerns. Turkey’s contact tracing application (Hayat Eve Sığar, abbreviated as HES), which is introduced during COVID-19 pandemic, have not been covered yet for its security and privacy features. Comparison of HES with the existing cutting-edge contact tracing approaches could be used to analyse and determine the features of HES. Comparison indicated the undocumented security and privacy features of HES and revealed a set of vulnerabilities that could cause serious attacks. Mitigation techniques against vulnerabilities are proposed but current HES application includes serious attacks that could be performed by an insider or an outsider. The analysis emphasized to be considered in the design of similar applications that will emerge in the future.

Reconfiguring the Sanctions of Schooled Literacy Through Living Literacies

AbstractIn this article, the author argues that living literacies—relational, embodied forms of literacy engagement—are an integral component of literacy engagement and hold the potential to disrupt and reconfigure the power structures embedded within schooled literacy. Drawing on affect theory and rhizomatic theory, the author analyzes youths’ literacy engagement in a seventh‐grade English Language Arts and Reading classroom in a New York City public school. This research addresses how schooled literacy, constructed through a sanctioned educational system, potentially dehumanizes students who diverge from the idealized curricular norm, while a focus on living literacies challenges these limitations. Central to this study is the rhizomatic approach of tracing and mapping to analyze the complexities between imposed schooled literacy engagement and living literacies engagement. The author presents findings through two sections: (1) an analysis of the sanctioning power of schooled literacy and (2) an analysis of living literacies through youths’ in‐class literate engagement. Findings demonstrate how schooled literacy practices become normalized and sanction what types of literacy engagement are valued in the classroom—and, therefore, transfer value to students themselves. However, by mapping assemblaging moments of living literacies, including socially charged interactions and spontaneous peer assistance, findings provide insight into how embodied, interrelational forms of literacy engagement offer opportunities for reconfiguring the sanctions of schooled literacy. The author concludes by discussing implications for policy, practice, and research, advocating for a shift toward more humanizing, interrelational, and embodied forms of literacy engagement in school spaces.

Particle swarm optimization inverse tracing method for mine tunnel fire based on quasi-steady-state heat transfer mechanism

Rapidly locating and assessing fires in coal mines is essential for effective response and minimizing damage. Traditional methods often struggle to swiftly and accurately pinpoint fire locations and statuses. Hence, this study introduces a particle swarm inverse tracing approach based on the quasi-steady-state heat transfer between high-temperature flue gases and mine tunnel walls. This method aims to remotely monitor smoke flow temperatures and gas concentrations to determine fire locations and combustion trends. Validation of the fire source tracing model was conducted through comprehensive tunnel fire experiments and numerical simulations. The particle swarm optimization inverse tracing method yielded a maximum 7.65 % error in fire location determination compared to actual measurements, while accurately matching the measured fire source heat release rate curve. These findings underscore the method’s high precision and reliability, particularly evident during the developmental and stable stages of fire burning.

A pre-vertebrate endodermal origin of calcitonin-producing neuroendocrine cells.

Vertebrate calcitonin-producing cells (C-cells) are neuroendocrine cells that secrete the small peptide hormone calcitonin in response to elevated blood calcium levels. Whereas mouse C-cells reside within the thyroid gland and derive from pharyngeal endoderm, avian C-cells are located within ultimobranchial glands and have been reported to derive from the neural crest. We use a comparative cell lineage tracing approach in a range of vertebrate model systems to resolve the ancestral embryonic origin of vertebrate C-cells. We find, contrary to previous studies, that chick C-cells derive from pharyngeal endoderm, with neural crest-derived cells instead contributing to connective tissue intimately associated with C-cells in the ultimobranchial gland. This endodermal origin of C-cells is conserved in a ray-finned bony fish (zebrafish) and a cartilaginous fish (the little skate, Leucoraja erinacea). Furthermore, we discover putative C-cell homologs within the endodermally-derived pharyngeal epithelium of the ascidian Ciona intestinalis and the amphioxus Branchiostoma lanceolatum, two invertebrate chordates that lack neural crest cells. Our findings point to a conserved endodermal origin of C-cells across vertebrates and to a pre-vertebrate origin of this cell type along the chordate stem.

Correcting mortality estimates among children and youth on antiretroviral therapy in southern Africa: A comparative analysis between a multi-country tracing study and linkage to a health information exchange.

The objective of this study is to assess the outcomes of children, adolescents and young adults with HIV reported as lost to follow-up, correct mortality estimates for children, adolescents and young adults with HIV for unascertained outcomes in those loss to follow-up (LTFU) based on tracing and linkage data separately using data from the International epidemiology Databases to Evaluate AIDS in Southern Africa. We included data from two different populations of children, adolescents and young adults with HIV; (1) clinical data from children, adolescents and young adults with HIV aged ≤24 years from Lesotho, Malawi, Mozambique, Zambia and Zimbabwe; (2) clinical data from children, adolescents and young adults with HIV aged ≤14 years from the Western Cape (WC) in South Africa. Outcomes of patients lost to follow-up were available from (1) a tracing study and (2) linkage to a health information exchange. For both populations, we compared six methods for correcting mortality estimates for all children, adolescents and young adults with HIV. We found substantial variations of mortality estimates among children, adolescents and young adults with HIV reported as lost to follow-up versus those retained in care. Ascertained mortality was higher among lost and traceable children, adolescents and young adults with HIV and lower among lost and linkable than those retained in care (mortality: 13.4% [traced] vs. 12.6% [retained-other Southern Africa countries]; 3.4% [linked] vs. 9.4% [retained-WC]). A high proportion of lost to follow-up children, adolescents and young adults with HIV had self-transferred (21.0% and 47.0%) in the traced and linked samples, respectively. The uncorrected method of non-informative censoring yielded the lowest mortality estimates among all methods for both tracing (6.0%) and linkage (4.0%) approaches at 2 years from ART start. Among corrected methods using ascertained data, multiple imputation, incorporating ascertained data (MI(asc.)) and inverse probability weighting with logistic weights were most robust for the tracing approach. In contrast, for the linkage approach, MI(asc.) was the most robust. Our findings emphasise that lost to follow-up is non-ignorable and both tracing and linkage improved outcome ascertainment: tracing identified substantial mortality in those reported as lost to follow-up, whereas linkage did not identify out-of-facility deaths, but showed that a large proportion of those reported as lost to follow-up were self-transfers.

Multiple embryonic sources converge to form the pectoral girdle skeleton in zebrafish

The morphological transformation of the pectoral/shoulder girdle is fundamental to the water-to-land transition in vertebrate evolution. Although previous studies have resolved the embryonic origins of tetrapod shoulder girdles, those of fish pectoral girdles remain uncharacterized, creating a gap in the understanding of girdle transformation mechanisms from fish to tetrapods. Here, we identify the embryonic origins of the zebrafish pectoral girdle, including the cleithrum as an ancestral girdle element lost in extant tetrapods. Our combinatorial approach of photoconversion and genetic lineage tracing demonstrates that cleithrum development combines four adjoining embryonic populations. A comparison of these pectoral girdle progenitors with extinct and extant vertebrates highlights that cleithrum loss, indispensable for neck evolution, is associated with the disappearance of its unique developmental environment at the head/trunk interface. Overall, our study establishes an embryological framework for pectoral/shoulder girdle formation and provides evolutionary trajectories from their origin in water to diversification on land.

SLC45A4 encodes a mitochondrial putrescine transporter that promotes GABA de novo synthesis.

Solute carriers (SLC) are membrane proteins that facilitate the transportation of ions and metabolites across either the plasma membrane or the membrane of intracellular organelles. With more than 450 human genes annotated as SLCs, many of them are still orphan transporters without known biochemical functions. We developed a metabolomic-transcriptomic association analysis, and we found that the expression of SLC45A4 has a strong positive correlation with the cellular level of γ-aminobutyric acid (GABA). Using mass spectrometry and the stable isotope tracing approach, we demonstrated that SLC45A4 promotes GABA de novo synthesis through the Arginine/Ornithine/Putrescine (AOP) pathway. SLC45A4 functions as a putrescine transporter localized to the mitochondrial membrane to facilitate GABA production. Taken together, our results revealed a new biochemical mechanism where SLC45A4 controls GABA production.

Study of deflection angle and shadow in supergravity black hole theory under the influence of non-magnetic plasma medium

In this paper, we examine models of a black hole’s deflection angle in the context of gauged super-gravity, using the black hole’s optical metric. We compute Gaussian curvature and the Gauss-Bonnet theorem of optical metric and also follow the Gibbons-Werner technique to calculate the deflection angle. The spacetime curvature effects are significant and will have extensive implications for gauged supergravity theory. By incorporating the Gaussian curvature of the optical metric over a four-dimensional surface of light dispersion. Further, we examine the deflection angle in the presence of the non-magnetic plasma medium and how the non-magnetic plasma impacts the deflection angle. Furthermore, we show how the photon sphere influences the gauged supergravity and non-magnetized plasma of the black hole shadow, as well as how to generate black hole shadows by employing the ray tracing approach. Finally, we analyze the shadow cast and address plots of both the deflection angle and the shadow to understand the deflection angle functions and the shadow impact in the non-magnetic plasma medium.