Image modeling for biomedical organs

Nitesh Khullar said Our ML/AI models can analyze vast amounts of alternative data, from social media activity to transaction histories, providing a more complete view of an applicant's financial health

Snyder, D B; Savard, G; Kjarsgaard, B A; Vaillancourt, A; Thurston, P; Ayer, J A; Roots, E. Geochemistry, Geophysics, Geosystems (G3) vol. 22, issue 4, e2020GC009566, 2021 p. 1-20, https://doi.org/10.1029/2020GC009566
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/20210145.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/20210145.jpg" title="Geochemistry, Geophysics, Geosystems (G3) vol. 22, issue 4, e2020GC009566, 2021 p. 1-20, https://doi.org/10.1029/2020GC009566" height="150" border="1" /></a>

Berman, R G; Cutts, J; Davis, W J; Camacho, A; Sanborn-Barrie, M; Smit, M A. Canadian Journal of Earth Sciences vol. 60, no. 5, 2023 p. 1-33, https://doi.org/10.1139/cjes-2022-0147
<a href="https://geoscan.nrcan.gc.ca/images/geoscan/20210354.jpg"><img src="https://geoscan.nrcan.gc.ca/images/geoscan/20210354.jpg" title="Canadian Journal of Earth Sciences vol. 60, no. 5, 2023 p. 1-33, https://doi.org/10.1139/cjes-2022-0147" height="150" border="1" /></a>

Early life: Kathryn Johanna Kuhlmun was born in Concordia, Missouri, to German-American parents. She was born-again at the age of 13 in the Methodist Church of Concordia, and began preaching in the West at the age of sixteen in primarily Baptist Churches. -- Career: Kuhlman traveled extensively around the United States and in many other countries holding "healing crusades" between the 1940s and 1970s. She had a weekly TV program in the 1960s and 1970s called I Believe In Miracles that was aired nationally. The foundation was established in 1954, and its Canadian branch in 1970. Following a 1967 fellowship in Philadelphia, Dr. William A. Nolen conducted a case study of 23 people who claimed to have been cured during her services. Nolen's long term follow-ups concluded there were no cures in those cases. Furthermore, one woman who was said to have been cured of spinal cancer took off her brace and ran across the stage at Kuhlman's command; her spine collapsed the following day and she died four months later. -- By 1970 she moved to Los Angeles conducting faith healing for thousands of people each day as an heir to Aimee Semple McPherson. She became well-known despite, as she told reporters, having no theological training. In 1935, Kathryn met Burroughs Waltrip, an extremely handsome Texas evangelist who was eight years her senior. Despite the fact that he was married with two small boys, they soon found themselves attracted to each other. Shortly after his visit to Denver, Waltrip divorced his wife, left his family and moved to Mason City, Iowa, where he began a revival center called Radio Chapel. Kathryn and her friend and pianist Helen Gulliford came into town to help him raise funds for his ministry. It was shortly after their arrival that the romance between Burroughs and Kathryn became publicly known. -- Burroughs and Kathryn decided to wed. While discussing the matter with some friends, Kathryn had said that she could not "find the will of God in the matter." These and other friends encouraged her not to go through with the marriage, but Kathryn justified it to herself and others by believing that Waltrip's wife had left him, not the other way around. On October 18th, 1938, Kathryn secretly married "Mister," as she liked to call Waltrip, in Mason City. The wedding did not give her new peace about their union, however. After they checked into their hotel that night, Kathryn left and drove over to the hotel where Helen was staying with another friend. She sat with them weeping and admitted that the marriage was a mistake. She decided to get an annulment. -- In 1975, Kuhlman was sued by Paul Bartholomew, her personal administrator, who claimed she kept $1 million in jewelry and $1 million in fine art hidden away and sued her for $430,500 for breach of contract. Two former associates accused her in the lawsuit of diverting funds and illegally removing records, which she denied and said the records were not private. According to Kuhlman, the lawsuit was settled prior to trial. -- Death and legacy: In July 1975 her doctor diagnosed her with a minor heart flareup and she had a relapse in November while in Los Angeles. As a result, she had open heart surgery in Tulsa, Oklahoma from which she died in February 1976. Kathryn Kuhlman is interred in the Forest Lawn Memorial Park Cemetery in Glendale, California. A plaque in her honor is located in the main city park in Concordia, Missouri, a town located in central Missouri on Interstate Highway 70. -- After she died, her will led to controversy. She left $267,500, the bulk of her estate, to three family members and twenty employees. Smaller bequests were given to 19 other employees. According to the Independent Press-Telegram , her employees were disappointed that "she did not leave most of her estate to the foundation as she had done under a previous 1974 will." The Kathryn Kuhlman Foundation has continued, but in 1982 it terminated its nationwide radio broadcasting. She influenced faith healers Benny Hinn and Billy Burke. Hinn has adopted some of her techniques and wrote a book about her. -- Healing: Many accounts of healings were published in her books, which were "ghost-written" by author Jamie Buckingham of Florida, including her autobiography, which was dictated at a hotel in Las Vegas. Buckingham also wrote his own Kuhlman biography that presented an unvarnished account of her life. Many other faith healers, including Benny Hinn, who have been inspired by Kathryn Kuhlman have faced similar suspicions about their methods and practices.

We all must embrace fasting with a willing heart. In addition, we need to nourish our bodies during the fast. Rita provides information about the nutritional value of various fasting foods, whether for children or adults. 

The quality attributes of a software system are, to a large extent, determined by the decisions taken early in the development process. Best practices in software engineering recommend the identification of important quality attributes during the requirements elicitation process, and the specification of software architectures to satisfy these requirements. Over the years the software engineering community has studied the relationship between quality attributes and the use of particular architectural styles and patterns. In this paper we study the relationship between quality attributes and Aspect-Oriented Software Architectures - which apply the principles of Aspect-Oriented Software Development (AOSD) at the architectural level. AOSD focuses on identifying, modeling and composing crosscutting concerns - i.e. concerns that are tangled and/or scattered with other concerns of the application. In this paper we propose to use AO-ADL, an aspect-oriented architectural description language, to specify quality attributes by means of parameterizable, and thus reusable, architectural patterns. We particularly focus on quality attributes that: (1) have major implications on software functionality, requiring the incorporation of explicit functionality at the architectural level; (2) are complex enough as to be modeled by a set of related concerns and the compositions among them, and (3) crosscut domain specific functionality and are related to more than one component in the architecture. We illustrate our approach for usability, a critical quality attribute that satisfies the previous constraints and that requires special attention at the requirements and the architecture design stages.

Feature modeling is an approach to represent commonalities and variabilities among products of a product line. Context-aware applications use context information to provide relevant services and information for their users. One of the challenges to build a context-aware product line is to develop mechanisms to incorporate context information and adaptation knowledge in a feature model. This paper presents UbiFEX, an approach to support feature analysis for context-aware software product lines, which incorporates a modeling notation and a mechanism to verify the consistency of product configuration regarding context variations. Moreover, an experimental study was performed as a preliminary evaluation, and a prototype was developed to enable the application of the proposed approach.

Aim/Purpose: In this research, we examined the influence of the information system (IS) quality dimensions proposed by Wixom and Todd on reading satisfaction of online newspaper readers in Bangladesh, especially the readers’ intention to revisit and recommendations through electronic word-of-mouth (eWOM). Background: We identified the top 50 most visited websites, of which 13 were online newspapers, although their ranking among Bangladesh online newspapers varies from month to month. The literature illustrates that, despite the wide availability of online news portals and the fluctuations in frequency of visits, little is known about the factors that affect the satisfaction, word-of-mouth, and frequency of visits of readers. An understanding of reader satisfaction will help to gain richer insights into the phenomenon of readers’ intention to revisit and recommendation by eWOM. Stakeholders of online newspapers can then focus on those factors to increase visits to their websites, which will help them attract online advertisements from different organisations. Methodology: Data were collected using a structured questionnaire, from 217 people who responded to the survey. We used SmartPLS 3 to analyze the data collected, as it is based on second-generation analysis, which in turn is based on structural equation modeling (SEM). Contribution: This research explores the impacts of technological dimensions on readers’ satisfaction, as most of the previous research has focused on cultural or social dimensions. Findings: The results supported all of the hypothesized relationships between technological dimensions and reader satisfaction with online newspapers, except for one. The first, information, was predicted with accuracy and completeness, while the second object-based belief, system quality, was predicted by its accessibility, flexibility, reliability, and timeliness. Overall, quality factors influencing readers’ satisfaction were shown to lead to word-of-mouth revisit intentions. Our proposed model was empirically tested and has contributed to a nascent body of knowledge about readers’ revisit intentions and eWOM recommendations regarding online newspapers. It was also shown that strong satisfaction leads to higher revisit intention and eWOM. Recommendations for Practitioners: To keep the users satisfied, online newspapers need to focus on improving information quality (IQ) and system quality (SQ). If they do this well, they will be rewarded with higher revisit intention and recommendations by eWOM. Recommendation for Researchers: This study extends Oh’s customer loyalty model by integrating the Wixom-Todd model. This study reinforces an alternative rationale of the construct satisfaction. Future Research: We ignored negative stimulus like technostress, which can have an impact on satisfaction. In future, we will test the relationship between technostress and its impact on online newspaper reading.

Aim/Purpose: In this study, we aim to investigate the impact of an important characteristic of textual reviews – the diversity of the review content on review helpfulness. Background: Consumer-generated reviews are an essential format of online Word-of-Month that help customers reduce uncertainty and information asymmetry. However, not all reviews are equally helpful as reflected by the varying number of helpfulness votes received by reviews. From consumers’ perspective, what kind of content is more effective and useful for making purchase decisions is unclear. Methodology: We use a data set consisting of consumer reviews for laptop products on Amazon from 2014 to 2018. A topic modeling technique is implemented to unveil the hidden topics embedded in the reviews. Based on the extracted topics, we compute the text diversity score of each review. The diversity score measures how diverse the content in a review is compared to other reviews. Contribution: In the literature, studies have examined various factors that can influence review helpfulness. However, studies that emphasized the information value of textual reviews are limited. Our study contributes to the extant literature of online word-of-mouth by establishing the connection between the diversity of the review content and consumer perceived helpfulness. Findings: Empirical results show that text diversity plays an important role in consumers’ evaluation of whether the review is helpful. Reviews that contain more diverse content tend to be more helpful to consumers. Moreover, we find a negative interaction effect between text diversity and the text depth. This result suggests that text depth and text diversity have a substitution effect. When a review contains more in-depth content, the impact of text diversity is weakened. Recommendations for Practitioners: For consumers to quickly find the informative reviews, platforms should incorporate measures such as text diversity in the ranking algorithms to rank consumer reviews. Future Research: Future study can extend the current research by examine the impact of text diversity for experienced goods and compare the results with search goods.

Aim/Purpose: This paper aims to analyze the availability and pricing of perishable farm produce before and during the lockdown restrictions imposed due to Covid-19. This paper also proposes machine learning and deep learning models to help the farmers decide on an appropriate market to sell their farm produce and get a fair price for their product. Background: Developing countries like India have regulated agricultural markets governed by country-specific protective laws like the Essential Commodities Act and the Agricultural Produce Market Committee (APMC) Act. These regulations restrict the sale of agricultural produce to a predefined set of local markets. Covid-19 pandemic led to a lockdown during the first half of 2020 which resulted in supply disruption and demand-supply mismatch of agricultural commodities at these local markets. These demand-supply dynamics led to disruptions in the pricing of the farm produce leading to a lower price realization for farmers. Hence it is essential to analyze the impact of this disruption on the pricing of farm produce at a granular level. Moreover, the farmers need a tool that guides them with the most suitable market/city/town to sell their farm produce to get a fair price. Methodology: One hundred and fifty thousand samples from the agricultural dataset, released by the Government of India, were used to perform statistical analysis and identify the supply disruptions as well as price disruptions of perishable agricultural produce. In addition, more than seventeen thousand samples were used to implement and train machine learning and deep learning models that can predict and guide the farmers about the appropriate market to sell their farm produce. In essence, the paper uses descriptive analytics to analyze the impact of COVID-19 on agricultural produce pricing. The paper explores the usage of prescriptive analytics to recommend an appropriate market to sell agricultural produce. Contribution: Five machine learning models based on Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Random Forest, and Gradient Boosting, and three deep learning models based on Artificial Neural Networks were implemented. The performance of these models was compared using metrics like Precision, Recall, Accuracy, and F1-Score. Findings: Among the five classification models, the Gradient Boosting classifier was the optimal classifier that achieved precision, recall, accuracy, and F1 score of 99%. Out of the three deep learning models, the Adam optimizer-based deep neural network achieved precision, recall, accuracy, and F1 score of 99%. Recommendations for Practitioners: Gradient boosting technique and Adam-based deep learning model should be the preferred choice for analyzing agricultural pricing-related problems. Recommendation for Researchers: Ensemble learning techniques like Random Forest and Gradient boosting perform better than non-Ensemble classification techniques. Hyperparameter tuning is an essential step in developing these models and it improves the performance of the model. Impact on Society: Statistical analysis of the data revealed the true nature of demand and supply and price disruption. This analysis helps to assess the revenue impact borne by the farmers due to Covid-19. The machine learning and deep learning models help the farmers to get a better price for their crops. Though the da-taset used in this paper is related to India, the outcome of this research work applies to many developing countries that have similar regulated markets. Hence farmers from developing countries across the world can benefit from the outcome of this research work. Future Research: The machine learning and deep learning models were implemented and tested for markets in and around Bangalore. The model can be expanded to cover other markets within India.

Aim/Purpose: The last decade has witnessed a tremendous progression in mobile penetration across the world and, most importantly, in developing countries like India. This research aims to investigate and analyze the factors influencing the adoption of mobile payments (M-payments) in the Indian rural population. This, in turn, would bring about positive changes in the lives of people in these countries. Background: A conceptual framework was worked upon using UTAUT as a foundation, which included constructs, namely, facilitating conditions, social influences, performance expectancy, and effort expectancy. The model was further extended by incorporating the awareness construct of m-payments to make it more comprehensive and to understand behavioral intentions and usage behavior for m-payments in rural India. Methodology: A questionnaire-based study was conducted to collect primary data from 410 respondents residing in rural areas in the state of Punjab. Convenience sampling was conducted to collect the data. Structural equation modeling was used to conduct statistical analysis, including exploratory and confirmatory factor analyses. Contribution: A new conceptual model for M-payments adoption in rural India was developed based on the study’s findings. Using the findings of the study, marketers, policymakers, and academicians can gain insight into the factors that motivate the rural population to use M-payments. Findings: The study has found that M-payment Awareness (AW) is the strongest factor within the proposed model for deeper diffusion of M-payments in rural areas in the state of Punjab. Performance expectancy (PE), effort expectancy (EE), social influences (SI), and facilitating conditions (FC) are also positively and significantly related to behavioral intentions for using M-payments among the Indian rural population in the state of Punjab. Recommendations for Practitioners: M-payments are emerging as a new mode of transactions among the Indian masses. The government needs to play a pivotal role in advocating the benefits linked with the usage of M-payments by planning financial literacy and awareness campaigns, promoting transparency and accountability of the intermediaries, and reducing transaction costs of using M-payments. Mobile manufacturing companies should come up with devices that are easy to use and incorporate multilanguage mobile applications, especially for rural areas, as India is a multi-lingual country. A robust regulatory framework will not only shape consumer trust but also prevent privacy breaches. Recommendation for Researchers: It is recommended that a comparative study among different M-payment platforms be conducted by exploring constructs such as usefulness and ease of use. However, the vulnerability of data leakage may result in insecurity and skepticism about its adoption. Impact on Society: India’s rural areas have immense potential for adoption of M-payments. Appropriate policies, awareness drives, and necessary infrastructure will boost faster and smoother adoption of M-payments in rural India to thrive in the digital economy. Future Research: The adapted model can be further tested with moderating factors like age, gender, occupation, and education to understand better the complexities of M-payments, especially in rural areas of India. Additionally, cross-sectional studies could be conducted to evaluate the behavioral intentions of different sections of society.

Nat PAVASANT,Takashi MORITA,Masayuki NUMAO,Ken-ichi FUKUI, Vol.E107-D, No.11, pp.1453-1457
We proposed a procedure to pre-process data used in a vector autoregressive (VAR) modeling of a temporal point process by using kernel density estimation. Vector autoregressive modeling of point-process data, for example, is being used for causality inference. The VAR model discretizes the timeline into small windows, and creates a time series by the presence of events in each window, and then models the presence of an event at the next time step by its history. The problem is that to get a longer history with high temporal resolution required a large number of windows, and thus, model parameters. We proposed the local density estimation procedure, which, instead of using the binary presence as the input to the model, performed kernel density estimation of the event history, and discretized the estimation to be used as the input. This allowed us to reduce the number of model parameters, especially in sparse data. Our experiment on a sparse Poisson process showed that this procedure vastly increases model prediction performance.
Publication Date: 2024/11/01

Ph.D. Dissertation Defense Modeling and Extracting Information about Cybersecurity Events from Text Taneeya Satyapanich 9:30-11:30 Monday, 18 November, 2019, ITE346? People now rely on the Internet to carry out much of their daily activities such as banking, ordering food, and socializing with their family and friends. The technology facilitates our lives, but also comes with […]

The post Defense: Taneeya Satyapanich, Modeling and Extracting Information about Cybersecurity Events from Text appeared first on UMBC ebiquity.

The EUBrazilOpenBio project  announces two new training tools as a part of its e-training Programme aiming at educating and enabling current and potential users of EUBrazilOpenBio to unlock new knowledge and shape effective policy on biodiversity challenges. The new tools cover the following use cases: Ecological Niche Modeling and Cross-mapping.

The EUBrazilOpenBio anytime, anywhere eTraining tools are designed for researchers in the spheres of Biodiversity, Life science, Climate Change, application Developers as well as regulatory authorities and policy decision-makers.

EUBrazilOpenBio is focused on tackling the complexity of biodiversity science such as the diversity of multidisciplinary datasets spanning from climatology to earth sciences by integrating advanced computing resources with data sources across Europe and Brazil.

For more informationand to try out the new tools click here.

 Over the past 15 years, building information modeling has developed into the undeniable future of the architecture and design industry.  

As the construction industry relies more and more on BIM for building projects, there is pressure mounting for the cost estimator to use BIM for takeoffs.

Oak City Remodeling in Raleigh, North Carolina, elevates the home renovation experience with comprehensive services.

While the economy in 2014 is more sluggish than it was a year ago—due to a variety of reasons—there remains hope for those in the industry. 

The selection of building materials from various available alternatives is a critical process affected by many complicated factors. Every single element in a building has a specific function to perform. This necessitates a proper selection of material from the various available alternatives, which generally differ in their quality, performance, and cost. To make the most practical choice, th...

About this role

If you are a technical lead with engineering expertise in CPU microarchitecture, performance-model development, performance analysis, or workload analysis, we would like to talk with you about joining Arm’s highly successful CPU performance architecture team based in Austin.  Our team plays a major role in crafting our next-generation Cortex-A class CPU designs and in enabling Arm partners to use our designs in world-class products. As a senior member of this expert team, you will own substantial and challenging performance projects

• Collaborate with other members of the design team - primarily in Austin - to help design our next-generation CPU microarchitecture
• Lend your expertise across all Performance sub-disciplines: microarchitecture and performance model development, microarchitectural performance analysis, RTL/performance-model correlation, workload analysis, and workload development
• Engage with key partners at an engineering level to understand their future performance requirements, performance sensitivities, and workload expectations
• Help develop the team and be a mentor to engineers
• Interact with customers and other third parties to successfully communicate complex technical ideas, and participate in internal and customer meetings

Marcus of All Trades posted a photo:

The rotating substrate method of crystallite deposition is modeled, allowing computation of effective material coefficients of the layers resulting from the averaging. A worked numerical example particularized to 6mm ZnO is provided.

The axoneme, a microtubule-based array at the center of every cilium, has been the subject of structural investigations for decades, but only recent advances in cryo-EM and cryo-ET have allowed a molecular-level interpretation of the entire complex to be achieved. The unique properties of the nine doublet microtubules and central pair of singlet microtubules that form the axoneme, including the highly decorated tubulin lattice and the docking of massive axonemal complexes, provide opportunities and challenges for sample preparation, 3D reconstruction and atomic modeling. Here, the approaches used for cryo-EM and cryo-ET of axonemes are reviewed, while highlighting the unique opportunities provided by the latest generation of AI-guided tools that are transforming structural biology.

Low-energy electron diffraction patterns contain precise information about the structure of the surface studied. However, retrieving the real space lattice periodicity from complex diffraction patterns is challenging, especially when the modeled patterns originate from superlattices with large unit cells composed of several symmetry-equivalent domains without a simple relation to the substrate. This work presents ProLEED Studio software, built to provide simple, intuitive and precise modeling of low-energy electron diffraction patterns. The interactive graphical user interface allows real-time modeling of experimental diffraction patterns, change of depicted diffraction spot intensities, visualization of different diffraction domains, and manipulation of any lattice points or diffraction spots. The visualization of unit cells, lattice vectors, grids and scale bars as well as the possibility of exporting ready-to-publish models in bitmap and vector formats significantly simplifies the modeling process and publishing of results.

A systematic procedure is introduced for modeling charge-neutral non-polar surfaces of ionic minerals containing polyatomic anions. By integrating distance- and charge-based clustering to identify chemical species within the mineral bulk, our pipeline, PolyCleaver, renders a variety of theoretically viable surface terminations. As a demonstrative example, this approach was applied to forsterite (Mg2SiO4), unveiling a rich interface landscape based on interactions with formaldehyde, a relevant multifaceted molecule, and more particularly in prebiotic chemistry. This high-throughput method, going beyond techniques traditionally applied in the modeling of minerals, offers new insights into the potential catalytic properties of diverse surfaces, enabling a broader exploration of synthetic pathways in complex mineral systems.

Proteins are well known `shapeshifters' which change conformation to function. In crystallography, multiple conformational states are often present within the crystal and the resulting electron-density map. Yet, explicitly incorporating alternative states into models to disentangle multi-conformer ensembles is challenging. We previously reported the tool FLEXR, which, within a few minutes, automatically separates conformational signal from noise and builds the corresponding, often missing, structural features into a multi-conformer model. To make the method widely accessible for routine multi-conformer building as part of the computational toolkit for macromolecular crystallography, we present a graphical user interface (GUI) for FLEXR, designed as a plugin for Coot 1. The GUI implementation seamlessly connects FLEXR models with the existing suite of validation and modeling tools available in Coot. We envision that FLEXR will aid crystallographers by increasing access to a multi-conformer modeling method that will ultimately lead to a better representation of protein conformational heterogeneity in the Protein Data Bank. In turn, deeper insights into the protein conformational landscape may inform biology or provide new opportunities for ligand design. The code is open source and freely available on GitHub at https://github.com/TheFischerLab/FLEXR-GUI.

Halima Aden attends the premiere of Netflix's Travis Scott: Look Mom I Can Fly at Barker Hangar on Aug. 27, 2019, in Santa Monica, Calif.; Credit: Rich Fury/Getty Images

For Halima Aden, the decision to walk away from a career as the world's first hijab-wearing supermodel was fairly clear cut. She's felt used for so long, she says — by the modeling industry and by UNICEF, the organization she was photographed by as a child in a refugee camp in Kenya and later served as an ambassador for.

Aden has been featured on the covers of Vogue, Elle and Allure magazines. And she walked the runway for Rihanna's Fenty Beauty and Kanye West's Yeezy.

She tells Morning Edition host Rachel Martin she wanted to be a role model for young girls while being true to herself, but she wasn't accomplishing either. Modeling, she realized, was in "direct conflict" with who she is.

"I'm not a cover girl, I'm Halima from Kakuma," she says. "I want to be the reason why girls have confidence within themselves, not the reason for their insecurity."

Aden was raised in the Kakuma refugee camp in northwestern Kenya. She and her family moved to Minnesota in 2004 when she was 7.

It was there her journey as a model began, competing for Miss Minnesota USA in 2016, seeking a scholarship. She finished in the semifinals, and says from there, modeling "fell from the sky" into her lap.

Interview Highlights

You saw [modeling] not just as a chance to wear gorgeous clothes and to have your photo in magazines but also as a way to help people.

Growing up in America, not seeing representation, not seeing anybody who dressed like me look like me, it did make me feel like, wow, what's wrong with me, you know? And I'm sure if I had if I would have had representation growing up, I would have been so much more confident to wear my hijab, to be myself, to be authentic. But to be that person, to grow up and be on the cover of magazines, I've covered everything from Vogue to Allure, some of the biggest publications in fashion. And yet I still couldn't relate personally to my own image because that's not who I really am. That's not how I really dress. That's not how my hijab really looks. And, you know, fashion, it can be a very creative field, and I completely appreciate that. But my hijab was just getting spread so thin that I knew I had to give it all away, give it up. I'm not a cover girl. I am Halima from Kakuma. I want to be the reason why girls have confidence within themselves, not the reason for their insecurity.

When you say your hijab was being kind of styled out of existence, what passed for a hijab as you were walking down those runways?

Everything. Oh, my goodness. I had jeans at one point on my head as a hijab. I had Gucci pants styled as a turban. It just didn't even make sense, and I felt so far removed from the image itself.

During the pandemic you decided to walk away from fashion and UNICEF. Was it a complicated decision?

I'll be honest with you, the feelings that I've had towards the fashion industry and UNICEF, it was just multiplying as the years went on, so it was just festering. You know, because the fashion industry is very known to use these young girls and boys while their young, age 14 to like 24, I think is the average career of a model. And then they just replace them and move on to a newer model. And same with UNICEF. They've been photographing me and using me since the time I was a baby in a refugee camp. I remember getting those headshots taken and it made me feel, it's very dehumanizing. And so I wanted to show UNICEF, too. How does it feel to be used? It's not a good feeling. And so let's stop using people.

What are you going to do [next]?

For me right now, I don't know what's next. And that's OK. That's OK, because I'm young and I have time to figure it out. And I'm grateful. I'm grateful to the people that I've met. I'm grateful to the agents that I worked with. I'm grateful for the experiences I was able to have these last four years. But at the same time, I just am also grateful that I don't have to do that anymore because it was in direct conflict with who I am as an individual, as a human being.

This content is from Southern California Public Radio. View the original story at SCPR.org.

Matthew Muir lends years of expertise to his work with Jackson Contractor Group

Serving outstanding construction services in Louisville, KY with old-world principles of integrity and honesty.

A Niche Focus Offers Homeowners an Easy Solution to Opening Up Living Spaces

Unlocking the Ideal Approach to Driver's Workspace Design

South Florida's Largest home expo is back in Miami, FL, October 21-23 at the Miami-Dade County Fair & Expo Center. Discover the latest interior and exterior design trends, products, and services to prepare your home for the holidays.

Brace yourself for a design and remodeling extravaganza like no other!