Diverse Kinds Research Articles

Threats to valuing diverse voices in public debates about disability. A case study from social media*

This study aimed to highlight the threats that use of social media poses to valuing diverse voices and different kinds of expertise about disability in public debates by exploring how disability advocates responded on social media to the evidence presented by researchers to the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability. Data were collected from the social media platform Twitter during the first week of Public Hearing 3 of the Royal Commission in December 2019. Tweets by 48 individuals and 27 representatives of advocacy groups who were not described as academic researchers in their Twitter profile were collected, anonymised, and coded using template analysis techniques. Findings showed that social media commentators were critical of the presence and participation of researchers in the Commission hearings and questioned the legitimacy of their research methods and findings. These commentators stated that researchers should not speak “for” or “about” people with disabilities and rejected evidence that did not resonate with their own individual experience. For the Commission to deliver meaningful recommendations to improve the disability sector, disability policy and the lives of people with disabilities, it is important to value both stories of lived experience and rigorous research evidence. Public discourse that undermines the relationships between researchers and disability self-advocates and advocates may be unhelpful for future collaboration on the development of better policy and practice.

IL2RB Is a Prognostic Biomarker Associated with Immune Infiltrates in Pan-Cancer.

Background Interleukin-2 receptor β (IL2RB) is a receptor protein of interleukin-2. IL2RB is implicated in regulation of T cell-mediated immune response. However, the role of IL2RB in pan-cancer is unknown. The present premise sought to explore the role of IL2RB in tumorigenesis, tumor metabolism, and tumor immunity in pan-cancer. Methods Data were retrieved from multiple data resources including GTEx data resource, CCLE data resource, TCGA data resource, UCSC data resource, and TISIDB web server. These data were adopted to assess the expression, prognosis value, relationship between IL2RB and immune microenvironment, microsatellite instability, immune new antigen, gene mutation, immune modulatory factors immune checkpoint and TMB, and immune or molecular subtypes of IL2RB in various tumors. Estimate analysis and GSEA were conducted to assess the role of IL2RB in pan-cancer. Results Differential analysis illustrated that L2RB was remarkably elevated in pan-cancer, notably in solid tumors compared with normal tissues. Survival analysis indicated that IL2RB was linked to pan-cancer prognosis, and elevated IL2RB contents were remarkably linked to dismal prognosis patients in diverse kinds of cancers. The findings illustrated that IL2RB contents were remarkably linked to tumor immune invasion, tumor microenvironment, TMB, MSI, DNA repair genes, methyl transferases, immune modulatory factors, and immune or molecular subtypes in pan-cancer. IL2RB gene mutation was evident in numerous cancers. The data illustrated that IL2RB contents were remarkably enriched in multiple signaling cascades which modulate tumorigenesis, tumor metabolism along with immunity. Conclusion The findings of the present premise illustrate that IL2RB plays an indispensible role in tumorigenesis, tumor metabolism, and immunity. Therefore, it is a prospective target gene in tumor-target therapy and tumor immune therapy. IL2RB is also a valuable predictive biomarker in most solid tumors.

A Study on the Performance and Implementation of Corporate Social Responsibility Initiatives by Axis Bank Foundation

This paper especially studies two important factors of the CSR initiatives carried out by way of the Axis bank foundation. Primarily this paper focuses upon the diverse kinds and the implementation of CSR activities being completed by means of the Axis bank foundation. After going through the information, it can be without a doubt stated that the Axis bank foundation (ABF) has tremendously performed well in fulfilling and uplifting the underprivileged community present in the rural India. The ABF has implemented and carried out multiple projects in diverse sectors of the society. Moreover, the ABF has reached more than 0.9 million covering 25 states, more than 10,000 villages spread across in India. Based on our analysis we can say that the foundation has performed really well in many vital areas moreover, the ABF has created wonders in major areas. But still further improvements can be done in certain areas by the foundation.

A novel hybrid polymer of PCL/fish gelatin nanofibrous scaffold improves proliferation and differentiation of Wharton's jelly-derived mesenchymal cells into islet-like cells.

Using a different source of stem cells to compensate for the lost beta cells is a promising way to cure diabetic patients. Besides, the best efficiency of insulin-producing cells (IPCs) will appear when we culture them in an environment similar to inside the body. Hence, three-dimensional (3D) culture ameliorates the differentiation of diverse kinds of stem cells into IPCs compared to those differentiated in two-dimensional (2D) culture. In this study, we aim to create an ideal differentiation environment by using PCL/Fish gelatin nanofibrous scaffolds to differentiate Wharton's jelly-derived mesenchymal cells (WJ-MSCs) to IPCs and compare them with a 2D cultured group. The evaluation of cellular, molecular, and functional properties of differentiated cells on the 3D and 2D cultures was investigated by several assays such as electron microscopy, quantitative PCR, immunochemistry, western blotting, and ELISA. The in vitro studies showed that WJ-MSCs differentiated in the 3D culture have strong properties of IPCs such as islet-like cells. The expression of pancreatic-specific genes at both RNA and protein levels showed higher differentiation efficacy of 3D culture. Besides, the results of the ELISA tests demonstrate that in both groups the differentiated cells are functional and secreted C-peptide and insulin in glucose stimulation, but the secretion of C-peptide and insulin in the 3D culture group was higher than those cultured in 2D groups. Our findings showed the use of PCL/Fish gelatin nanofibrous scaffolds with optimized differentiation protocols can promote the differentiation of IPCs from WJ-MSCs compared to the 2D culture group.

Rubrics in evaluation

This research paper designs to show the quintessential importance of the rubrics in evaluation of the learners in the outcome based education. The paper attempts to communicate expectations of quality around a task. Rubrics is an evaluative criterion which can be used to measure expected levels of performance of the learners. Rubrics can make brilliant culmination in the traditional approach to assess learners. It is used to delineate consistent criteria for grading. Outcome based education is flourished with rubrics in evaluation system. Rubrics allows teachers and students alike to evaluate criteria which can be complex and subjective. Scoring rubrics can also provide a basis for self-evaluation, reflection and peer review. It aims at fair assessment, fostering understanding, motivating, indicating a way to proceed with subsequent learning. Rubrics can be classified as holistic, analytic or developmental. Holistic rubric integrates all aspects of the work into a single overall rating of the work. Learners can better be judged and revised by the teachers through rubrics in diverse kinds of evaluation. A rubric measure students work against real life criteria and is referred to as a form of authentic assessment.

Hybridization of 2D Nanomaterials with 3D Graphene Architectures for Electrochemical Energy Storage and Conversion

AbstractSince the discovery of graphene, diverse kinds of 2D nanomaterials have been explored and exhibited great promise for application in electrochemical energy storage and conversion. However, the restacking of 2D nanomaterials severely reduces their exposed active sites and thus impairs their electrochemical performance. Moreover, except for graphene, a large number of 2D nanomaterials normally possess unsatisfactory electrical conductivity. One of the effective strategies to address the aforementioned shortcomings is to hybridize 2D nanomaterials with 3D graphene architectures since large specific surface area and rapid transport pathways for electrons, ions, and mass can be achieved in the obtained hybrid materials. This review summarizes the typical strategies to hybridize 2D nanomaterials with 3D graphene architectures and then highlights the application of these hybrid materials in rechargeable batteries, supercapacitors, and electrocatalytic water splitting. The challenges and future research directions in this research area are also discussed.

Mind the Gap: Reach and Mechanical Diversity of Searcher Shoots in Climbing Plants

Climbing plants need to reach supports and position their leaves for light capture. Vines and lianas develop a large diversity of self-supporting shoots among diverse species and different kinds of attachment. A searcher’s reach is a crucial trait for colonising supports in complex three-dimensional spaces. We explore the reach capacity and diversity of searcher shoots among representative temperate and tropical climbing plants. We investigate the overall range of variation between short- and long-reach searchers; the mechanical and anatomical organisations underlying reach capacities; how searcher architectures are linked to different climbing strategies such as stem twining, tendril climbing, root climbing, and branch-angle-hook climbing. We investigated reach and mechanical and anatomical organisations (stem rigidity and stiffness, stem and tissue geometry) in 29 climbing plant species from temperate and tropical habitats. Searchers show a wide range of maximal reach per species from 0.1 to 2.5 m. Flexural rigidity (EI) at the base of searchers increased with reach length; overall this increase was proportional although some longest-reaching shoots develop proportionally thinner searcher bases with higher stiffness [structural Young’s modulus (Estr)] than shorter-reach shoots. Bases of short-reach searchers rely more on primary tissues compared to long-reach shoots, which rely more on wood production. We identified different mechanical architectures for a given reach capacity across all species. These are linked to different kinds of attachment mechanisms, support foraging, and possibly leaf display. Plants attaching by twining of the main stem showed a wide range of reach capacity. They also developed lighter, more slender, less rigid, but generally relatively stiff (higher Estr) shoots compared with tendril climbers and branch-angle-hook climbers. Differences in the mechanical architecture of searcher shoots in climbing plants are informative for understanding how diverse climbing plant species explore and colonise different kinds of three-dimensional spaces. This is a key feature that distinguishes different habitat preferences. We discuss how such knowledge is not only important for understanding functional biology and ecology of climbing plants but is also of interest for developing new technologies in soft robotics that mimic climbing plants that can navigate through unstructured environments.

Valuing beyond economics: A pluralistic evaluation framework for participatory policymaking

The sustainability challenges facing societies call for policies and governance systems that are attuned to the diversity of goods that support and enrich human life via ecological, technical and other kinds of systems, and to the plurality of values that people hold across diverse cultures and belief systems. A pluralistic evaluation framework (PEF) is here presented as a tool for considering diverse kinds of goodness as perceived by diverse stakeholders in the design and evaluation of policies or projects. It arises from considering a suite of aspects of meaning (biotic, economic, aesthetic, etc.) at each of three stages, namely: identifying relevant stakeholders, mapping real-world systems and assessing modes of valuing. This framework, drawing on the philosophical work of Herman Dooyeweerd and Dirk Vollenhoven, offers a joined-up, participatory approach to policymaking. We report pilot trials of the PEF with groups of policymakers at a series of workshops, demonstrating that it provides additional perspectives and unification of core issues and can be used in a wide range of areas of policymaking and project assessment. We also illustrate its potential application to a controversial environmental project and outline how a pluralistic evaluation framework can be used in tandem with existing frameworks.

WET-Induced Layered Organohydrogel as Bioinspired "Sticky-Slippy Skin" for Robust Underwater Oil-Repellency.

Underwater superoleophobic surfaces featuring anti-oil-fouling properties are of great significance in widespread fields. However, their complicated engineering process and weak interfacial adhesion strength with underlying substrates severely hamper these ideal surfaces toward practical applications. Here, a moss-inspired sticky-slippy skin composed of layered organohydrogel is reported through a one-step wetting-enabled-transfer (WET) strategy, which unprecedentedly integrates robust inherent adhesion with durable anti-oil-fouling properties. The sticky organogel layer can be simply attached to various substrates, from metals and plastics to glass, independent of any surface pretreatment. The slippy hydrogel layer enables stable underwater superoleophobicity and ultralow oil adhesion for diverse kinds of oils. The sticky-slippy skin features outstanding comprehensive properties including easy-pasting, anti-swelling/anti-bending, compatibility with commercial adhesives, acid/alkali resistance, environmental friendliness, and substrate universality. The design strategy with integrated functions provides a clue to accelerate the development of bioinspired multifunctional interfacial materials toward real-world applications.

Dynamics of convective slippery constraints on hybrid radiative Sutterby nanofluid flow by Galerkin finite element simulation

Abstract The heat transport and entropy formation of an unsteady Sutterby hybrid nanofluid (SBHNF) are investigated in this work. SBHNF’s flowing and thermal transport properties are investigated by exposing the nanofluid to a slippery hot surface. This analysis includes the influences of solid-shaped nanoparticles, porous materials, radiative flux, and viscous dissipative flow. The Galerkin finite element technique (G-FEM) is used to find self-similar solutions to equations that are then transformed into ODEs using appropriate transformations. This research considers two diverse kinds of nanosolid-particles, copper (Cu) and graphene oxide (GO), using non-Newtonian engine-oil (EO) as the working fluid. In the flowing, energy, skin friction, Nusselt number, and entropy production, important findings for the various variables are visually depicted. The most notable finding of the analysis is that when SBHNF (GO–Cu/EO) is compared to a typical nanofluid (Cu–EO), the thermal transmission rate of SBHNF (GO–Cu/EO) gradually increases. Furthermore, heat transfer is greatest for spherical-shaped nanoparticles and lowest for lamina-shaped nanoparticles. The entropy in the model is increased when the size of the nanoparticles ϕ \phi is increased. The comparable impact is noticed once the radiation flowing N r {N}_{\text{r}} and Deborah number λ \lambda increase.

A Computational Approach to Explaining Bioelectrically Induced Persistent, Stochastic Changes of Axial Polarity in Planarian Regeneration.

Morphogenesis results when cells cooperate to construct a specific anatomical structure. The behavior of such cell swarms exhibits not only robustness but also plasticity with respect to what specific anatomies will be built. Important aspects of evolutionary biology, regenerative medicine, and cancer are impacted by the algorithms by which instructive information guides invariant or stochastic outcomes of such collective activity. Planarian flatworms are an important model system in this field, as flatworms reliably regenerate a primary body axis after diverse kinds of injury. Importantly, the number of heads to which they regenerate is not determined genetically: lines of worms can be produced, which, with no further manipulation, regenerate as two-headed (2H) worms, or as "Cryptic" worms. When cut into pieces, Cryptic worms produce one-headed (1H) and 2H regenerates stochastically. Neural and bioelectric mechanisms have been proposed to explain aspects of the regenerative dataset. However, these models have not been unified and do not explain all of the Cryptic worm data. In this study, we propose a model in which two separate systems (a bioelectric circuit and a neural polarity mechanism) compete to determine the anatomical structure of a regenerate. We show how our model accounts for existing data and provides a consistent synthesis of mechanisms that explain both the robustness of planarian regeneration and its remarkable re-writability toward novel stable and stochastic anatomical states.

The Effect of Feed Supplementation on Cow Milk Productivity and Quality: A Brief Study

Milk and milk products are an important source of food that provides nutritional energy, protein, minerals, and vitamins of high quality. Feed supplementation could be an excellent way to improve nutrient digestibility and absorption in dairy cattle, resulting in higher milk output and productivity by addressing the cow's nutritional needs through a feeding schedule. Whatever improvements in the genetic makeup of local dairy cows, they only account for about 30% of productivity; the remaining 70% depend on nutrition, appropriate supplementary diet, and other factors management. Supplementing diverse kinds of feedstuffs and giving a well-adjusted diet has a major effect on milk yield and productivity, but not on milk quality. However, milk production efficiency affects milk quality because of the efficiency of nutrient absorption as described by the ingestion of dry matter. The ability to maximize milk productivity can be determined by the ingredients formulated in the feed supplement. However, local milking cows are minimal milk outcomes since the shortage of nutritional quality and unavailability of feed, if smallholders use appropriate supplementation of different feeds and improve the nutritive values of feeds for dairy cows, the production, productivity, and quality of milk from dairy cattle should increase as well.

Od tradycji do kreacji – wymiary i losy tożsamości centralnoazjatyckich

From Tradition to Creation: Central Asian Identities and Their FatesAfter the collapse of the USSR, Central Asian states together with their independence got the opportunity of reconsidering and redefinition of the vision of national identity that until then had been created through the foreign power. This article considers diverse levels and kinds of local identities in Central Asia and tries to show in what way the contemporary states create a new national and state identity. In new circumstances, a new identity has to be built but this is very often done with old tools, originating from the former system.To understand these countries today one has to discover the meaning of the Soviet rule in this area, the power of tradition, and a particular fusion between these two factors, which lasted through the long time of the Soviet domination. Especially important in the traditional way of living is a framework of a solidarity group. The analysis of the identity dimensions confirms the special role of tribal ties, which are a fundamental element of social life and political movements in the past and present.

Revealing the Secrets of the English Teacher’s Excellent Proficiency

This study tries to shed light on what makes the English teacher’s proficiency excellent and how these factors help the English teacher achieve excellent proficiency. One female English teacher from a private secondary school participated in this study. Her excellent English proficiency is proven by some proficiency test certificates such as TOEFL and CEFR. Data were garnered through a series of semi-structured interviews based on well-prepared interview guidelines. The principles of data saturation were applied to ensure the credibility of the data. The data analysis was done by employing thematic content analysis. The results suggest that there are four main factors which contribute to the English teacher’s excellent proficiency. These factors include high self-motivation, long learning experience, diverse kinds of exposure, and various kinds of practices. Several affective factors like the feeling of fun, enjoyment, and interest also contribute to the process of language learning and acquisition which lead to excellent English proficiency. Further studies on English proficiency are still encouraged with different methods, settings, and contexts.

Intelligent Feature Subset Selection with Machine Learning Based Detection and Mitigation of DDoS Attacks in 5G Environment

The fifth-generation (5G) technology is anticipated to permit connectivity to billions of devices, called the Internet of Things (IoT). The primary benefit of 5G is that it has maximum bandwidth and can drastically expand service beyond cell phones to standard internet service for conventionally fixed connectivity to homes, offices, factories, etc. But IoT devices will unavoidably be the primary target of diverse kinds of cyberattacks, notably distributed denial of service (DDoS) attacks. Since the conventional DDoS mitigation techniques are ineffective for 5G networks, machine learning (ML) approaches find helpful to accomplish better security. With this motivation, this study resolves the network security issues posed by network devices in the 5G networks and mitigates the harmful effects of DDoS attacks. This paper presents a new pigeon-inspired optimization-based feature selection with optimal functional link neural network (FLNN), PIOFS-OFLNN model for mitigating DDoS attacks in the 5G environment. The proposed PIOFS-OFLNN model aims to detect DDoS attacks with the inclusion of feature selection and classification processes. The proposed PIOFS-OFLNN model incorporates different techniques such as pre-processing, feature selection, classification, and parameter tuning. In addition, the PIOFS algorithm is employed to choose an optimal subset of features from the pre-processed data. Besides, the OFLNN based classification model is applied to determine DDoS attacks where the Rat Swarm Optimizer (RSO) parameter tuning takes place to adjust the parameters involved in the FLNN model optimally. FLNN is a low computational interconnectivity higher cognitive neural network. There are still no hidden layers. FLNN’s input vector is operationally enlarged to produce non-linear remedies. More details can be accessed application of Nature-Inspired Method to Odia Written by hand Number system Recognition. To validate the improved DDoS detection performance of the proposed model, a benchmark dataset is used.

Microalgal‐based remediation of wastewater: A step towards environment protection and management

AbstractThe widespread problem of water pollution is jeopardizing the ecosystem and our health. The contamination of freshwater through anthropogenic activities and its discharge into the ecosystems leads to the generation of wastewater. Wastewater mainly contains nutrient loads and the recent emerging contaminants such as pharmaceutical wastes, drugs, micropollutants, heavy metals, pesticides, phenolic compounds, and dyes have increased and contaminated the aquatic bodies. The existence of these emerging pollutants can cause serious threats to ecosystems and humans. Thus, conventional wastewater treatment was focused on the removal of solid compounds or nutrient loads. However, it could not remove the emerging contaminants and later microalgae that are photosynthetic eukaryotic microorganisms were found to be an efficient and eco‐friendly source for the remediation of diverse kinds of wastewater. Apart from nutrient removal, the algal biomass acts as the efficient feedstock for the generation of bioenergy products. However, limited data have been published regarding the remediation of emerging pollutants through microalgae. Thus, focusing on the recent gaps, the current review provides an overview of the potential of microalgae for the remediation of nutrient loads. Critically deliberate the recent advances and detailed summary of microalgae potential for the remediation of wastewaters containing high nutrient loads especially focused on the remediation of different emerging contaminants. It highlights the advanced approaches used in the microalgae remediation process and provides comprehensive information about the different bioenergy products such as liquid, gaseous, and bioelectricity generated through the utilization of wastewater‐grown microalgae.

Numerical Simulations of Environmental Energy Features in Solar Pump Application by Using Hybrid Nanofluid Flow: Prandtl-Eyring Case

As the primary energy source derived from the sun, solar energy is widely utilized in various technologies, including photovoltaic cells as well as the solar types of energy plates, street lights, and water pumping. This era is about studying solar radiations and a way to active enhancements in solar power pump (SWP) efficacy with the use of solar radiations and nanotechnology. Communication is structured to examine the capability of SWP in terms of transfer of heat using a hybrid nanofluid passing through a parabolic trough surface collector (PTSC) placed inside the pipeline of SWP. Solar radiation has been considered a heat source. The performance in terms of heat transfer of the SWP is scrutinized for various effects like porous media, viscous dissipation, radiative heat flux, and Cattaneo–Christov heat flux (C–CHF). Entropy generation analysis is also conducted for Prandtl – Eyring fluid (P-EF). The simulated momentum and energy equations were solved using the Keller box technique, which is a well-known numerical approach. For this work, Prandtl – Eyring hybrid nanofluid (P-EHNF) has been considered, consisting of double diverse kinds of nanotubes (NT), including single-walled carbon nanotubes (SWCNT) and multi-walled carbon nanotubes (MWCNT) in the rich, viscous fluid of kind Sodium Alginate (SA). The impact of various parameters on velocity, temperature fields, shear stress, coefficient of drag force, and Nusselt number are investigated and demonstrated in graphs and tables. The SWP experience an enhancement in the transfer of heat for amplification of the parameters of thermal radiative flow as well as viscous dissipation. In comparison with conventional nanofluid, hybrid nanofluid performs better in heat transmission. The thermal efficacy of MWCNT/SWCNT-SA over SWCNT-SA got down to a minimal level of 39.9% and peaked at 42.2%.

Extending the Explanatory Scope of Evolutionary Theory: The Origination of Historical Kinds in Biology and Culture

Two welcome extensions of evolutionary thinking have come to prominence over the last thirty years: the so-called “extended evolutionary synthesis” (EES) and debate about biological kinds and individuals. These two agendas have, however, remained orthogonal to one another. The EES has mostly restricted itself to widening the explanations of adaptation offered by the preceding “modern evolutionary synthesis” by including additional mechanisms of inheritance and variation; while discussion of biological kinds has turned toward philosophical questions of essential vs. contingent properties of life forms and realist vs. epistemological approaches to categorization and classification. Here we attempt to broaden the explanatory scope of evolutionary theory by linking these two agendas. We expand on the mechanistic orientation of the EES, using new understandings of networked systems of components in order to engage the distinct intellectual challenge of the origination of historical kinds. With this phrase we designate a subset of natural kinds that acquires, through evolutionary processes, a quasi-independent lineage-history. Such kinds emerge in both biology and culture, and we enlarge the limited number of historical kinds that have thus far been recognized in evolutionary biology in a series of paradigmatic exemplars, from genes and cell types to rituals and music. For each exemplar we discern specific mechanisms by which it arose and persists; comparing these, we suggest a general unity in the ways in which diverse historical kinds originate.

Mechanisms of Formation, Structure, and Dynamics of Lipoprotein Discs Stabilized by Amphiphilic Copolymers: A Comprehensive Review.

Amphiphilic copolymers consisting of alternating hydrophilic and hydrophobic units account for a major recent methodical breakthrough in the investigations of membrane proteins. Styrene–maleic acid (SMA), diisobutylene–maleic acid (DIBMA), and related copolymers have been shown to extract membrane proteins directly from lipid membranes without the need for classical detergents. Within the particular experimental setup, they form disc-shaped nanoparticles with a narrow size distribution, which serve as a suitable platform for diverse kinds of spectroscopy and other biophysical techniques that require relatively small, homogeneous, water-soluble particles of separate membrane proteins in their native lipid environment. In recent years, copolymer-encased nanolipoparticles have been proven as suitable protein carriers for various structural biology applications, including cryo-electron microscopy (cryo-EM), small-angle scattering, and conventional and single-molecule X-ray diffraction experiments. Here, we review the current understanding of how such nanolipoparticles are formed and organized at the molecular level with an emphasis on their chemical diversity and factors affecting their size and solubilization efficiency.

Subcutaneous Low-Density Foreign Bodies Detection via Grating-Based Multimodal X-ray Imaging

Detecting low-density foreign bodies within soft tissues still stands for a serious challenge. Grating-based multimodal X-ray imaging typically has low hardware requirements while simultaneously providing three kinds of imaging information, i.e., absorption, phase-contrast, and dark-field. We aimed to explore the capacity of grating-based multimodal X-ray imaging technology for detecting common foreign bodies within subcutaneous tissues, and to assess the advantages as well as disadvantages of the three kinds of images obtained via grating-based X-ray multimodal technology in relation to diverse kinds of foreign bodies within different tissues. In this study, metal, glass, wood, plastic, graphite, and ceramic foreign bodies were injected into chunks of the pig adipose tissue and chicken thigh muscles. Next, a grating-based multimodal X-ray imaging device developed in our laboratory was used to detect the above foreign bodies within the adipose and muscle tissues. Our results show that grating-based multimodal X-ray imaging clearly revealed the subcutaneous foreign bodies within the adipose and muscle tissues by acquiring complementary absorption, phase-contrast, and dark-field imaging data in a single shot. Grating-based multimodal X-ray imaging has an exciting potential to detect foreign bodies underneath the epidermis.