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53. Part II: Caress

Author

White, Hilary, Osborne, Nell, and Butler, Alice

Published
2025

55. Preserved bevacizumab (Avastin®) eye drops for application in multidose containers – an in-vitro characterisation

Author

Ulrike Lessiak, Tania Brandstoetter, Barbara Nell, Klara Klein, Georg Mlynek, Lukas Wimmer, Lisa Scheiblecker, Alexander Tichy, and Andrea Hoelbl-Kovacic

Subjects
Anti-VEGF, Protein aggregation, Cornea, Angiogenesis, Veterinary medicine, SF600-1100
Abstract

Abstract Purpose Monoclonal antibodies have made an immense contribution to the treatment of various human diseases. We aimed at investigating an affordable treatment option for veterinary patients with corneal neovascularization by adding the preservative benzalkonium chloride (BAC) to bevacizumab (Avastin®) for usage in multidose containers. A comprehensive analytical similarity assessment of preserved and unpreserved bevacizumab after dilution and storage was carried out. Methods Diluted and preserved bevacizumab was analysed at different time points for a 4-week period and compared with unpreserved bevacizumab at the same concentrations at each time point. Native-PAGE, immunoblotting and HP-SEC were used to observe aggregation and degradation. DLS provided information about particle size and dispersity. Bevacizumab quantified by ELISA was conducted to determine its biological activity. Dose response curves and cell migration assays were performed to detect possible toxic effects and determine biological activity and efficacy of the drug using HUVECs. Results Native-PAGE, immunoblotting and HP-SEC analysis did not show any changes or degradation products in the presence of BAC and after storage compared to unpreserved bevacizumab. The overlapping intensity-based particle size distribution obtained from DLS showed similarity in all tested groups and homogeneity was maintained. ELISA accurately detected bevacizumab at different concentrations. HUVECs incubated with preserved or unpreserved bevacizumab showed a comparable effect on cell migration. No decrease in cell viability was detected. Conclusion Equivalence tests demonstrated that bevacizumab is stable after dilution, storage and preservation with BAC. Our study shows that preserved bevacizumab applied in mutidose containers can be considered as a cost-effective alternative to the otherwise single-dose treatments.

Published
2025
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56. Systems immunology integrates the complex endotypes of recessive dystrophic epidermolysis bullosa

Author

Nell Hirt, Enzo Manchon, Qian Chen, Clara Delaroque, Aurelien Corneau, Patrice Hemon, Safaa Saker-Delye, Pauline Bataille, Jean-David Bouaziz, Emmanuelle Bourrat, Alain Hovnanian, Helene Le Buanec, Fawzi Aoudjit, Hicham El Costa, Nabila Jabrane-Ferrat, and Reem Al-Daccak

Subjects
Science
Abstract

Abstract Endotypes are characterized by the immunological, inflammatory, metabolic, and remodelling pathways that explain the mechanisms underlying the clinical presentation (phenotype) of a disease. Recessive dystrophic epidermolysis bullosa (RDEB) is a severe blistering disease caused by COL7A1 pathogenic variants. Although underscored by animal studies, the endotypes of human RDEB are poorly understood. To fill this gap, we apply systems immunology approaches using single-cell high-dimensional techniques to capture the signature of peripheral immune cells and the diversity of metabolic profiles in RDEB adults, sampled outside of any opportunistic infection and active cancer. Our study, demonstrates the particular inflammation and immunity characteristics of RDEB adults, with activated / effector T and dysfunctional natural killer cell signatures, concomitant with an overall pro-inflammatory lipid signature. Artificial intelligence prediction models and principal component analysis stress that RDEB is not solely confined to cutaneous issues but has complex systemic endotypes marked by immune dysregulation and hyperinflammation. By characterising the phenotype-endotype association in RDEB adults, our study lays the groundwork for translational interventions that could by lessening inflammation, alleviate the everlasting suffering of RDEB patients, while awaiting curative genetic therapies.

Published
2025
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57. A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation

Author

Xue, Yunzhe, Eletta, Olanrewaju, Ady, Justin W., Patel, Nell M., Bongu, Advaith, and Roshan, Usman

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

As part of their training all medical students and residents have to pass basic surgical tasks such as knot tying, needle-passing, and suturing. Their assessment is typically performed in the operating room by surgical faculty where mistakes and failure by the student increases the operation time and cost. This evaluation is quantitative and has a low margin of error. Simulation has emerged as a cost effective option but it lacks assessment or requires additional expensive hardware for evaluation. Apps that provide training videos on surgical knot trying are available to students but none have evaluation. We propose a cascaded neural network architecture that evaluates a student's performance just from a video of themselves simulating a surgical knot tying task. Our model converts video frame images into feature vectors with a pre-trained deep convolutional network and then models the sequence of frames with a temporal network. We obtained videos of medical students and residents from the Robert Wood Johnson Hospital performing knot tying on a standardized simulation kit. We manually annotated each video and proceeded to do a five-fold cross-validation study on them. Our model achieves a median precision, recall, and F1-score of 0.71, 0.66, and 0.65 respectively in determining the level of knot related tasks of tying and pushing the knot. Our mean precision score averaged across different probability thresholds is 0.8. Both our F1-score and mean precision score are 8% and 30% higher than that of a recently published study for the same problem. We expect the accuracy of our model to further increase as we add more training videos to the model thus making it a practical solution that students can use to evaluate themselves., Comment: To appear in proceedings of 11th IEEE International Conference on Healthcare Informatics (ICHI) 2023

Published
2023

58. Language use predicts symptoms of fragile X-associated tremor/ataxia syndrome in men and women with the FMR1 premutation

Author

Maltman, Nell, Sterling, Audra, Santos, Ellery, and Hagerman, Randi

Subjects
Biological Psychology, Cognitive and Computational Psychology, Psychology, Clinical Research, Neurodegenerative, Women's Health, Fragile X Syndrome, Rare Diseases, Neurosciences, Intellectual and Developmental Disabilities (IDD), Brain Disorders, Humans, Male, Fragile X Mental Retardation Protein, Female, Tremor, Aged, Middle Aged, Ataxia, Aged, 80 and over, Language, Cross-Sectional Studies, Cognition, FMR1, Fragile X-associated tremor/ataxia syndrome, Executive function
Abstract

Fragile X-associated tremor/ataxia syndrome (FXTAS) is an age-related neurodegenerative disorder caused by a premutation of the FMR1 gene on the X chromosome. Despite the pervasive physical and cognitive effects of FXTAS, no studies have examined language in symptomatic males and females, limiting utility as an outcome measure in clinical trials of FXTAS. The goal of this work is to determine (a) the extent to which male and female FMR1 premutation carriers with FXTAS symptoms differ in their language use and (b) whether language production predicts FXTAS symptoms. Thirty-one individuals with the FMR1 premutation (21M, 10F), ages 58-85 years with some symptoms of FXTAS, were recruited from a larger cross-sectional study. Participants completed a five-minute monologic language sample. Language transcripts were assessed for rate of dysfluencies, lexical-semantics, syntax, and speech rate. Multivariable linear and ordinal regressions were used to predict FXTAS-associated symptoms, cognitive functioning, and executive functioning. Males and females did not differ in their language use. Language production predicted FXTAS symptom severity, cognitive functioning, and executive functioning. Language production difficulties may co-occur with FXTAS-associated symptoms and may be a viable outcome measure in future clinical trials, with future research needed.

Published
2024

59. Five Guiding Principles for Effective Voluntary Agreements: A Case Study on VAs for Water and Habitat in California’s Bay-Delta Watershed

Author

Marcus, Felicia, Green Nylen, Nell, Owen, Dave, and Kiparsky, Michael

Subjects
Bay-Delta, Bay-Delta watershed, instream flow, voluntary agreements, Water Quality Control Plan
Abstract

California has increasingly emphasized efforts to develop voluntary agreements (VAs) with water users as a means of achieving regulatory goals in certain watersheds. In theory, a VA can combine the protectiveness of a regulatory backstop with the creativity and flexibility of a negotiated deal to produce outcomes as good as, or better than, those achievable through strict application of regulatory requirements alone. However, reality has not always measured up to this ideal. This policy paper uses the Bay-Delta watershed as a case study to inform five principles to guide the appropriate use and evaluation of VAs.

Published
2024

62. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Author

Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, galassi, anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, and Gorgolewski, Krzysztof J.

Subjects
Quantitative Biology - Other Quantitative Biology
Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.

Published
2023
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63. Clark measures on polydiscs associated to product functions and multiplicative embeddings

Author

Jacobsson, Nell

Subjects
Mathematics - Complex Variables, 28A25, 28A35, 32A10, 30J05
Abstract

We study Clark measures on the unit polydisc, giving an overview of recent research and investigating the Clark measures of some new examples of multivariate inner functions. In particular, we study the relationship between Clark measures and multiplication; first by introducing compositions of inner functions and multiplicative embeddings, and then by studying products of one-variable inner functions., Comment: 21 pages, 5 figures

Published
2023

64. CUTE reveals escaping metals in the upper atmosphere of the ultra-hot Jupiter WASP-189b

Author

Sreejith, A. G., France, Kevin, Fossati, Luca, Koskinen, Tommi T., Egan, Arika, Cauley, P. Wilson, Cubillos, Patricio. E., Ambily, S., Huang, Chenliang, Lavvas, 5 Panayotis, Fleming, Brian T., Desert, Jean-Michel, Nell, Nicholas, Petit, Pascal, and Vidotto, Aline

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Ultraviolet observations of Ultra-hot Jupiters (UHJs), exoplanets with temperatures over 2000\,K, provide us with an opportunity to investigate if and how atmospheric escape shapes their upper atmosphere. Near-ultraviolet transit spectroscopy offers a unique tool to study this process owing to the presence of strong metal lines and a bright photospheric continuum as the light source against which the absorbing gas is observed. WASP-189b is one of the hottest planets discovered to date, with a day-side temperature of about 3400\,K orbiting a bright A-type star. We present the first near-ultraviolet observations of WASP-189b, acquired with the Colorado Ultraviolet Transit Experiment ($CUTE$). $CUTE$ is a 6U NASA-funded ultraviolet spectroscopy mission, dedicated to monitoring short-period transiting planets. WASP-189b was one of the $CUTE$ early science targets and was observed during three consecutive transits in March 2022. We present an analysis of the $CUTE$ observations and results demonstrating near-ultraviolet (2500--3300~\AA) broadband transit depth ($1.08^{+0.08}_{-0.08}\%$) of about twice the visual transit depth indicating that the planet has an extended, hot upper atmosphere with a temperature of about 15000\,K and a moderate mass loss rate of about \SI{4e8}{\kg\per\second}. We observe absorption by Mg{\sc ii} lines ($R_p/R_s$ of $0.212^{+0.038}_{-0.061}$) beyond the Roche lobe at $>$4$\sigma$ significance in the transmission spectrum at a resolution of 10~\AA, while at lower resolution (100~\AA), we observe a quasi-continuous absorption signal consistent with a "forest" of low-ionization metal absorption dominated by Fe{\sc ii}. The results suggest an upper atmospheric temperature ($\sim15000$\,K), higher than that predicted by current state-of-the-art hydrodynamic models., Comment: Accepted for publication in The Astrophysical Journal Letters

Published
2023

65. The Radiation Environments of Middle-Aged F-Type Stars

Author

Aguirre, F. Cruz, France, K., Nell, N., Kruczek, N., Fleming, B., Hinton, P. C., Ulrich, S., and Behr, P. R.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Far ultraviolet (FUV) emission lines from dwarf stars are important driving sources of photochemistry in planetary atmospheres. Properly interpreting spectral features of planetary atmospheres critically depends on the emission of its host star. While the spectral energy distributions (SEDs) of K- and M-type stars have been extensively characterized by previous observational programs, the full X-ray to infrared SED of F-type stars has not been assembled to support atmospheric modeling. On the second flight of the Suborbital Imaging Spectrograph for Transition-region Irradiance from Nearby Exoplanet host stars (SISTINE-2) rocket-borne spectrograph, we successfully captured the FUV spectrum of Procyon A (F5 IV-V) and made the first simultaneous observation of several emission features across the FUV bandpass (1010 - 1270 and 1300 - 1565 \r{A}) of any cool star. We combine flight data with stellar models and archival observations to develop the first SED of a mid-F star. We model the response of a modern Earth-like exoplanet's upper atmosphere to the heightened X-ray and extreme ultraviolet radiation within the habitable zone of Procyon A. These models indicate that this planet would not experience significant atmospheric escape. We simulate observations of the Ly$\alpha$ transit signal of this exoplanet with the Hubble Space Telescope (HST) and the Habitable Worlds Observatory (HWO). While marginally detectable with HST, we find that H I Ly$\alpha$ transits of potentially habitable exoplanets orbiting high radial velocity F-type stars could be observed with HWO for targets up to 150 pc away., Comment: 22 Pages, 13 Figures, 3 Tables, to be published in ApJ

Published
2023

66. The Uncontrollability of Preaching: Some Elements of Mystery in the Christmas Sermons of Thabo Makgoba

Author

Ian Nell

Subjects
preaching, mystery, uncontrollability, thabo makgoba, christmas sermons, hartmut rosa, john de gruchy, Practical Theology, BV1-5099
Abstract

When you preach, you know from experience that what happens in the preaching event is uncontrollable and, therefore, full of mystery. The liturgy and the sermon are part of it and are related to something that happens, but we know this ‘something’ is uncontrollable. Investigation and reflection on resonance in preaching are on the trail of the mystery of the sermon as an event. We know that something mysterious happens when we preach that cannot be controlled by the preachers or listeners. In this article, I discuss the concept of uncontrollability in Hartmut Rosa’s scholarly contributions and mystery in the work of John de Gruchy. I then discuss four Christmas sermons of the Archbishop of Cape Town, Thabo Makgoba, in search of the mystery of uncontrollability. In trying to understand preaching that resonates, I ask: How does the preaching event reflect the aspects of uncontrollability and transcendence in Archbishop Makgoba’s sermons? Archbishop Makgoba is known for his thought-provoking sermons that often delve into complex issues. The mystery in his sermons lies in his ability to explore profound spiritual concepts and connect them to everyday life. He uses metaphorical language to convey deeper meanings, leaving room for interpretation and contemplation. The mystery in his sermons also stems from his engagement with the unknown aspects of faith and the divine, encouraging his audience to grapple with the mysteries of existence.

Published
2024
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67. Synthesis and crystal structure of sodium (ethane-1,2-diyl)bis[(3-methoxypropyl)phosphinodithiolate] octahydrate

Author

Bryan P. Nell, David R. Tyler, Lev N. Zakharov, and Dean H. Johnston

Subjects
dithiophosphinate, phosphinodithiolate, crystal structure, Crystallography, QD901-999
Abstract

The title compound, catena-poly[[triaquasodium]-di-μ-aqua-[triaquasodium]-μ-(ethane-1,2-diyl)bis[(3-methoxypropyl)phosphinodithiolato]], [Na2(C10H22O2P2S4)(H2O)8]n, crystallizes in the triclinic space group P1. The dianionic [CH3O(CH2)3P(=S)(S—)CH2CH2P(=S)(S—)(CH2)3OCH3]2− ligand fragments are joined by a dicationic [Na2(H2O)8]2+ cluster that includes the oxygen of the methoxypropyl unit of the ligand to form infinite chains.

Published
2024
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69. Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4).

Author

Gavin Jager, David Cornett III, Gavin Glenn, Deniz Aykac, Christi Johnson, Robert Zhang 0002, Ryan Shivers, David S. Bolme, Laura Davies, Scott Dolvin, Nell Barber, Joel Brogan, Nick Burchfield, Carl Dukes, Andrew Duncan, Regina Ferrell, Austin Garrett, Jim Goddard 0001, Jairus Hines, Bart Murphy, Sean Pharris, Brandon Stockwell, Leanne Thompson, and Matt Yohe

Published
2025
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73. Mixed-method evaluation study of a targeted mass drug administration of long-acting anti-malarials among children aged 3 months to 15 years in the Bossangoa sub-prefecture, Ouham, Central African Republic, during the COVID-19 pandemic

Author

Robinson, Eve, Ouabo, Adelaide, Rose, Letitia, van Braak, Felipe, Vyncke, Jorieke, Wright, Roberto, Gray, Nell, Sakama, Narcisse Simon, Aboukar, Emmanuel Joao, Fierte, Methode Mberyo, Woinzoukou, Daniel, Ewers, Linn, Serpande, Christian, Stein, Susanne, Van Boetzelaer, Elburg, Kpahina, Odilon Auguste, Sabe, Sosthene Constant, Rao, Bhargavi, and Kuehne, Anna

Published
2024
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78. H Is for Home: Supporting Foundational Literacy Skills

Author

Duke, Nell K.

Abstract

Teachable moments--opportunities to help children learn foundational reading skills--happen every day within homes and communities. These moments can be used to complement the systematic instruction children should be receiving at school (preschool and early elementary school). This article discusses ways to take advantage of teachable moments.

Published
2023

79. The Colorado Ultraviolet Transit Experiment (CUTE) Mission Overview

Author

France, Kevin, Fleming, Brian, Egan, Arika, Desert, Jean-Michel, Fossati, Luca, Koskinen, Tommi T., Nell, Nicholas, Petit, Pascal, Vidotto, Aline A., Beasley, Matthew, DeCicco, Nicholas, Sreejith, Aickara Gopinathan, Suresh, Ambily, Baumert, Jared, Cauley, P. Wilson, DAngelo, Carolina Villarreal, Hoadley, Keri, Kane, Robert, Kohnert, Richard, Lambert, Julian, and Ulrich, Stefan

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

Atmospheric escape is a fundamental process that affects the structure, composition, and evolution of many planets. The signatures of escape are detectable on close-in, gaseous exoplanets orbiting bright stars, owing to the high levels of extreme-ultraviolet irradiation from their parent stars. The Colorado Ultraviolet Transit Experiment (CUTE) is a CubeSat mission designed to take advantage of the near-ultraviolet stellar brightness distribution to conduct a survey of the extended atmospheres of nearby close-in planets. The CUTE payload is a magnifying NUV (2479~--~3306 Ang) spectrograph fed by a rectangular Cassegrain telescope (206mm x 84mm); the spectrogram is recorded on a back-illuminated, UV-enhanced CCD. The science payload is integrated into a 6U Blue Canyon Technology XB1 bus. CUTE was launched into a polar, low-Earth orbit on 27 September 2021 and has been conducting this transit spectroscopy survey following an on-orbit commissioning period. This paper presents the mission motivation, development path, and demonstrates the potential for small satellites to conduct this type of science by presenting initial on-orbit science observations. The primary science mission is being conducted in 2022~--~2023, with a publicly available data archive coming on line in 2023., Comment: 12 pages, 5 figures, AJ - accepted

Published
2023
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80. The on-orbit performance of the Colorado Ultraviolet Transit Experiment (CUTE) Mission

Author

Egan, Arika, Nell, Nicholas, Suresh, Ambily, France, Kevin, Fleming, Brian, Sreejith, A. G., Lambert, Julian, and DeCicco, Nicholas

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

We present the on-orbit performance of the Colorado Ultraviolet Transit Experiment ($CUTE$). $CUTE$ is a 6U CubeSat that launched on September 27th, 2021 and is obtaining near-ultraviolet (NUV, 2480 A -- 3306 A) transit spectroscopy of short-period exoplanets. The instrument comprises a 20 cm $\times$ 8 cm rectangular Cassegrain telescope, an NUV spectrograph with a holographically ruled aberration-correcting diffraction grating, and a passively cooled, back-illuminated NUV-optimized CCD detector. The telescope feeds the spectrograph through an 18$'$ $\times$ 60$''$ slit. The spacecraft bus is a Blue Canyon Technologies XB1, which has demonstrated $\leq$ 6$''$ jitter in 56% of $CUTE$ science exposures. Following spacecraft commissioning, an on-orbit calibration program was executed to characterize the $CUTE$ instrument's on-orbit performance. The results of this calibration indicate that the effective area of $CUTE$ is $\approx$ 19.0 -- 27.5 cm$^{2}$ and that the average intrinsic resolution element is 2.9 A across the bandpass. This paper describes the measurement of the science instrument performance parameters as well as the thermal and pointing characteristics of the observatory.

Published
2023
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81. One Year Later, Campuses Ban Pro-Palestine Protests 'In All But Name': Quietly rolled out over the summer, college and university policies target the student movement for Palestine

Author

Srinath, Nell

Subjects
Israel-Arab conflicts -- Demonstrations and protests, Student movements -- Laws, regulations and rules, Universities and colleges -- Laws, regulations and rules -- United States, Government regulation, Political science
Abstract

For students at the University of Michigan in Ann Arbor, a die-in is nothing new. In November 2023, one month into Israel's siege and bombardment of the Gaza Strip, a [...]

Published
2024

83. Extragonadal immature teratoma of the uterus

Author

Katherine Jane C. Chua, Maryam Ali, Alice Barr, Rebecca Brooks, and Nell V. Suby

Subjects
Extragonadal malignant immature teratoma, Minimally invasive primary debulking, Chemosensitive germ cell tumor, Gynecology and obstetrics, RG1-991, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: With fewer than 20 cases of extragonadal teratomas since 1929, treatment guidelines remain unclear. Case Presentation: A 27-year-old nulliparous female presented with vaginal bleeding and malodorous discharge. Transvaginal ultrasound and pelvic MRI revealed a 4 cm prolapsing echogenic cervical mass that was FDG avid on PET CT. Biopsy confirmed a grade 1 polypoid immature teratoma arising from either the uterus or cervix. She underwent a total laparoscopic hysterectomy, bilateral salpingectomy, omentectomy, and primary optimal tumor debulking to R0. Bilaterally ovaries appeared grossly normal and were preserved. On final pathology, the patient was staged using FIGO ovarian cancer criteria as Stage IIIA2 grade 2 immature teratoma of the uterus. The patient received three cycles of bleomycin, etoposide, and cisplatin. The patient is 11 months post-surgery and currently undergoing surveillance. Conclusion: Given the rarity of uterine immature teratomas, management of this case was extrapolated from existing recommendations for immature ovarian teratomas. Unlike in prior case reports where surgical approach was via an exploratory laparotomy, our patient underwent optimal debulking via minimally invasive surgery with ovarian preservation and adjuvant chemotherapy. Given the chemosensitive nature of germ cell tumors, further fertility sparing options for extragonadal immature teratoma may be further explored.

Published
2025
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84. The Autonomous Data Reduction Pipeline for the CUTE Mission

Author

Sreejith, A. G., Fossati, Luca, Ambily, S., Egan, Arika, Nell, Nicholas, France, Kevin, Fleming, Brian T., Haas, Stephanie, Chambliss, Michael, DeCicco, Nicholas, and Steller, Manfred

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Colorado Ultraviolet Transit Experiment (CUTE) is a 6U NASA CubeSat carrying on-board a low-resolution, near-ultraviolet (2479-3306 A) spectrograph. It has a Cassegrain telescope with a rectangular primary to maximize the collecting area, given the shape of the satellite bus, and an aberration correcting grating to improve the image quality, and thus spectral resolution. CUTE, launched on the 27th of September 2021 to a Low Earth Orbit, is designed to monitor transiting extra-solar planets orbiting bright, nearby stars to improve our understanding of planet atmospheric escape and star-planet interaction processes. We present here the CUTE autONomous daTa ReductiOn pipeLine (CONTROL), developed for reducing CUTE data. The pipeline has been structured with a modular approach, which also considers scalability and adaptability to other missions carrying on-board a long-slit spectrograph. The CUTE data simulator has been used to generate synthetic observations used for developing and testing the pipeline functionalities. The pipeline has been tested and updated employing ight data obtained during commissioning and initial science operations of the mission., Comment: Accepted for publication in the Publications of the Astronomical Society of the Pacific

Published
2022
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85. Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset

Author

Cornett III, David, Brogan, Joel, Barber, Nell, Aykac, Deniz, Baird, Seth, Burchfield, Nick, Dukes, Carl, Duncan, Andrew, Ferrell, Regina, Goddard, Jim, Jager, Gavin, Larson, Matt, Murphy, Bart, Johnson, Christi, Shelley, Ian, Srinivas, Nisha, Stockwell, Brandon, Thompson, Leanne, Yohe, Matt, Zhang, Robert, Dolvin, Scott, Santos-Villalobos, Hector J., and Bolme, David S.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models. These datasets, however, typically comprise images scraped from news sites or social media platforms and, therefore, have limited utility in more advanced security, forensics, and military applications. These applications require lower resolution, longer ranges, and elevated viewpoints. To meet these critical needs, we collected and curated the first and second subsets of a large multi-modal biometric dataset designed for use in the research and development (R&D) of biometric recognition technologies under extremely challenging conditions. Thus far, the dataset includes more than 350,000 still images and over 1,300 hours of video footage of approximately 1,000 subjects. To collect this data, we used Nikon DSLR cameras, a variety of commercial surveillance cameras, specialized long-rage R&D cameras, and Group 1 and Group 2 UAV platforms. The goal is to support the development of algorithms capable of accurately recognizing people at ranges up to 1,000 m and from high angles of elevation. These advances will include improvements to the state of the art in face recognition and will support new research in the area of whole-body recognition using methods based on gait and anthropometry. This paper describes methods used to collect and curate the dataset, and the dataset's characteristics at the current stage.

Published
2022

86. Managing Water Scarcity: A Framework for Fair and Effective Water Right Curtailment in California

Author

Green Nylen, Nell, Owen, Dave, Harder, Jennifer, Kiparsky, Michael, and Hanemann, Michael

Subjects
California drought, California State Water Resources Control Board, curtailment, drought, emergency regulations, enforcement, water rights
Abstract

Droughts are becoming more frequent and intense in California. Many California watersheds experience seasonal water scarcity nearly every year. To protect water rights, human health and safety, and the environment from serious harm, California’s State Water Resources Control Board (SWRCB) needs to be able to routinely curtail unlawful water uses. But it has struggled to carry out this basic function, running into resource constraints and technical, legal, and political barriers. This report describes the legal context for and history of curtailments in California. It also recommends actions the SWRCB and State Legislature can take to build a framework for fair and effective curtailment in California.

Published
2023

92. Elektrische Maschinen

Author

Hameyer, Kay, Butterweck, Daniel, Driendl, Niklas, Franck, Marius, Groschup, Benedikt, Jansen, Kevin, Leuning, Nora, Mönninghoff, Sebastian, Nell, Martin, Schröder, Michael, Kampker, Achim, editor, and Heimes, Heiner Hans, editor

Published
2024
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93. Contribution of autosomal rare and de novo variants to sex differences in autism

Author

Aleksic, Branko, Artomov, Mykyta, Barbosa, Mafalda, Benetti, Elisa, Betancur, Catalina, Biscaldi-Schafer, Monica, Børglum, Anders D., Brand, Harrison, Brusco, Alfredo, Buxbaum, Joseph D., Campos, Gabriele, Cardaropoli, Simona, Carli, Diana, Carracedo, Angel, Chan, Marcus C.Y., Chiocchetti, Andreas G., Chung, Brian H.Y., Collins, Brett, Collins, Ryan L., Cook, Edwin H., Coon, Hilary, Costa, Claudia I.S., Cuccaro, Michael L., Cutler, David J., Daly, Mark J., De Rubeis, Silvia, Devlin, Bernie, Doan, Ryan N., Domenici, Enrico, Dong, Shan, Fallerini, Chiara, Fernández-Prieto, Montserrat, Ferrero, Giovanni Battista, Freitag, Christine M., Fu, Jack M., Gargus, J. Jay, Gerges, Sherif, Giorgio, Elisa, Girardi, Ana Cristina, Guter, Stephen, Hansen-Kiss, Emily, Herman, Gail E., Hertz-Picciotto, Irva, Hougaard, David M., Hultman, Christina M., Jacob, Suma, Kaartinen, Miia, Klei, Lambertus, Kolevzon, Alexander, Kushima, Itaru, Lee, So Lun, Lehtimäki, Terho, Liang, Lindsay, Lintas, Carla, Ljungdahl, Alicia, Lo Rizzo, Caterina, Ludena, Yunin, Maciel, Patricia, Mahjani, Behrang, Maltman, Nell, Manara, Marianna, Manoach, Dara S., Meiri, Gal, Menashe, Idan, Miller, Judith, Minshew, Nancy, Mosconi, Matthew, Nguyen, Rachel, Ozaki, Norio, Palotie, Aarno, Parellada, Mara, Passos-Bueno, Maria Rita, Pavinato, Lisa, Peng, Minshi, Pericak-Vance, Margaret, Persico, Antonio M., Pessah, Isaac N., Puura, Kaija, Reichenberg, Abraham, Renieri, Alessandra, Roeder, Kathryn, Sanders, Stephan J., Sandin, Sven, Satterstrom, F. Kyle, Scherer, Stephen W., Schlitt, Sabine, Schmidt, Rebecca J., Schmitt, Lauren, Schneider-Momm, Katja, Siper, Paige M., Sloofman, Laura, Smith, Moyra, Stevens, Christine R., Suren, Pål, Sutcliffe, James S., Sweeney, John A., Talkowski, Michael E., Tassone, Flora, Teufel, Karoline, Trabetti, Elisabetta, Trajkova, Slavica, Trelles, Maria del Pilar, Wamsley, Brie, Wang, Jaqueline Y.T., Weiss, Lauren A., Yu, Mullin H.C., Yuen, Ryan, Adhya, Deep, Allison, Carrie, Ayeung, Bonnie, Bamford, Rosie, Baron-Cohen, Simon, Bethlehem, Richard, Biron-Shental, Tal, Burton, Graham, Cowell, Wendy, Davies, Jonathan, Floris, Dori, Franklin, Alice, Gabis, Lidia, Geschwind, Daniel, Greenberg, David M., Gu, Yuanjun, Havdahl, Alexandra, Heazell, Alexander, Holt, Rosemary, Hurles, Matthew, Khan, Yumnah, Lai, Meng-Chuan, Lancaster, Madeline, Lombardo, Michael, Martin, Hilary, Martinez, Jose Gonzalez, Mill, Jonathan, Koko, Mahmoud, Niakan, Kathy, Pavlinek, Adam, Polit, Lucia Dutan, Radecki, Marcin, Rowitch, David, Sichlinger, Laura, Srivastava, Deepak, Tsompanidis, Alexandros, Uzefovsky, Florina, Warrier, Varun, Weir, Elizabeth, and Zhang, Xinhe

Published
2025
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94. PFMG2025–integrating genomic medicine into the national healthcare system in France

Author

Abadie, Caroline, Abderrahmane, Aldja, Abdous, Ouarda, Abel, Carine, Ackermann, Oanez, Acquaviva, Cécile, Ader, Flavie, Adham, Salma, Adjaoud, Dalila, Afenjar, Alexandra, Aladjidi, Nathalie, Alary, Anne-Sophie, Albarel, Frédérique, Albert, Sabrina, Allard, Lise, Allix, Ingrid, Alunni, Violaine, Amado, Inês F., Amouroux, Cyril, André, Nicolas, Angelini, Chloé, Anheim, Mathieu, Sanfelliz, Ignacio Antolin, Aparicio, Thomas, Arfeuille, Chloé, Arlet, Jean-Benoît, Arnaud, Lionel, Arnaud, Pauline, Arnold, Guilhem, Attie-Bitach, Tania, Aubert-Mucca, Marion, Audo, Isabelle, Audrezet, Marie-Pierre, Auroux, Maxime, Auzanneau, Céline, Ayrignac, Xavier, Ba, Ibrahima, Bachelot, Anne, Bacq, Delphine, Bacrot, Séverine, Bader-Meunier, Brigitte, Baer, Sarah, Baert-Desurmont, Stéphanie, Bal-Theoleyre, Laurence, Balogoun, Ralyath, Baltzinger, Philippe, Banneau, Guillaume, Bar, Claire, Barbet, Audrey, Barcia, Giulia, Barjhoux, Laure, Barlier, Anne, Barlogis, Vincent, Barritault, Marc, Barth, Magalie, Barthod-Malat, Aurore, Baudouin-Cornu, Peggy, Baujat, Geneviève, Baurand, Amandine, Bay, Jacques-Olivier, Beau-Faller, Michèle, Beaudoin, Jean-Christophe, Bellance, Rémi, Bellanné-Chantelot, Christine, Bellera, Carine, Belot, Alexandre, Ben Abdeljelil, Raihane, Ben Sghaier, Rihab, Benadiba, Joy, Benard, Stéphanie, Beneteau, Claire, Benistan, Karelle, Benkerdou, Fouzia, Benkirane, Mehdi, Benoist, Jean-François, Benusiglio, Patrick R., Bergès, Camille, Bergougnoux, Anne, Bernadach, Maureen, Bernard, Emilien, Bernard, Valérie, Bernard, Virginie, Beroug, Dounia, Berrard, Aurélie, Bertherat, Jérôme, Berthet, Pascaline, Berthier, Clotilde, Bertholet-Thomas, Aurélia, Bertocchio, Jean-Philippe, Bertucci, François, Besse, Céline, Besse-Pinot, Elsa, Bessis, Didier, Beuvain, Pauline, Bezieau, Stéphane, Bidart, Marie, Bièche, Ivan, Biehler, Margaux, Bienvenu, Thierry, Bilan, Frédéric, Billon, Clarisse, Binquet, Christine, Bismuth, Elise, Bizaoui, Varoona, Blanc, Pierre, Blanché, Hélène, Blay, Jean-Yves, Bloch, Adrien, Bloch, Gilles, Bloch-Zupan, Agnes, Bocquet, Béatrice, Boedec, Morgane, Boileau, Catherine, Boissinot, Maureen, Boland, Anne, Bolze, Pierre-Adrien, Bonadona, Valérie, Bonastre, Julia, Bonello-Palot, Nathalie, Bonnard, Adeline-Alice, Borie, Raphaël, Botsen, Damien, Bouattour, Mohamed, Bouctot, Marion, Bouhours-Nouet, Natacha, Bouligand, Jérôme, Bouras, Ahmed, Bourgeron, Thomas, Bourges, Jean-Louis, Bourrat, Emmanuelle, Boursier, Guilaine, Bousquet, Guilhem, Bousquet, Philippe-Jean, Boussion, Simon, Boutaud, Lucile, Boutin, Julian, Bouvagnet, Patrice, Bouvattier, Claire, Boyault, Sandrine, Brac de la Perriere, Aude, Brahmi, Mehdi, Brard, Valentine, Brasseur, Mathilde, Brazzalotto, Nadège, Brémond-Gignac, Dominique, Briand-Suleau, Audrey, Briet, Claire, Bringuier, Pierre-Paul, Bris, Céline, Brischoux-Boucher, Elise, Brochard, Karine, Broly, Martin, Brosseau, Laura, Bruel, Ange-Line, Brunelle, Perrine, Bubien, Virginie, Buecher, Bruno, Buffet, Alexandre, Buisson, Adrien, Burglen, Lydie, Des Roziers, Cyril Burin, Burnichon, Nelly, Busa, Tiffany, Cabart, Mathilde, Cabet, Sara, Caille-Benigni, Charlotte, Caillot, Claire, Calvin, Christophe, Cambon-Thomsen, Anne, Cances, Claude, Cantan, Alexandre, Carausu, Liana, Carbasse, Aurélia, Carbonneil, Cédric, Cariou, Bertrand, Caron, Olivier, Carras, Sylvain, Cartalat, Stéphanie, Cassinari, Kévin, Castelle, Martin, Castéra, Laurent, Castinetti, Frédéric, Catteau, Julie, Caumes, Roseline, Caux, Aurélien, Cavaillé, Mathias, Cavé, Hélène, Caye-Eude, Aurélie, Cazeneuve, Cécile, Celse, Tristan, Celton, Noémie, Cenni, Camille, Cévost, Jasmin, Chaabna, Rania, Chabrol, Brigitte, Challet, Ilyas, Chalumeau, Clélia, Chambon, Pascal, Chansavang, Albain, Chanson, Jean-Baptiste, Chapelant, Sébastien, Charbit-Henrion, Fabienne, Charles, Perrine, Charrière, Sybil, Charron, Philippe, Chassaing, Nicolas, Chatron, Nicolas, Chaumette, Boris, Chaussain, Catherine, Chaussenot, Annabelle, Cheillan, David, Chenavier, Olivier, Chesneau, Bertrand, Chevalier, Louise-Marie, Chomienne, Christine, Chougnet, Cécile, Christin-Maitre, Sophie, Chuet, Marine, Clappier, Emmanuelle, Clet, Johanna, Cloteau, Mélanie, Cluzeau, Thomas, Cogan, Guillaume, Cogné, Benjamin, Cohen, Alicia, Cohen, Camille, Cohen-Haguenauer, Odile, Cohen-Solal, Martine, Colas, Chrystelle, Colin, Estelle, Collet, Corinne, Collin-Chavagnac, Delphine, Colliou, Eloïse, Collonge-Rame, Marie-Agnès, Colmard, Maxime, Coopman, Stéphanie, Coppin, Lucie, Coquan, Elodie, Cormier-Daire, Valérie, Corradini, Nadège, Corsini, Carole, Cossée, Mireille, Coste, Thibault, Cotteret, Sophie, Cottet, Rachel, Coubes, Christine, Coulet, Florence, Couque, Nathalie, Couratier, Philippe, Courbebaisse, Marie, Courbette, Olivier, Courdier, Cécile, Coursimault, Juliette, Courtin, Thomas, Courtois, Lucien, Coury, Fabienne, Coutos-Thévenot, Laure, Coutton, Charles, Creveaux, Isabelle, Crickx, Etienne, Crivelli, Louise, Cuggia, Marc, Cuisset, Laurence, Curcio, Hubert, Curie, Aurore, Cusin, Veronica, Da Costa, Noémie, Da Cruz, Lionel, Dahlen, Eric, Dardenne, Antoine, Dauriat, Benjamin, Dausse, Nell, De Becdelièvre, Alix, De Fraipont, Florence, De La Cruz, Elisa, De la Motte Rouge, Thibault, De Montgolfier, Sandrine, De Pauw, Antoine, De Reyniès, Aurélien, De Sainte Agathe, Jean-Madeleine, De Tayrac, Marie, Defachelles, Anne-Sophie, Degaud, Michaël, Deiller, Caroline, Delabesse, Eric, Delachaux, Leslie, Delahaye-Duriez, Andrée, Deleuze, Jean-François, Delhomelle, Hélène, Delmas, Christelle, Delnatte, Capucine, Delorme, Catherine, Delorme, Richard, Demeer, Bénédicte, Demilly, Caroline, Denizeau, Philippe, Denjoy, Isabelle, Denommé-Pichon, Anne-Sophie, Depienne, Christel, Derive, Nicolas, Dervillé, Flora, Portes, Vincent Des, Desguerre, Isabelle, Desnous, Béatrice, Desseignes, Camille, Devillard, Françoise, Deville, Manjula, Dewulf-Pasz, Nelly, Dhaenens, Claire-Marie, Dietrich, Klaus, Dieux, Anne, Diop, Mody, Disse, Emmanuel, Djaber, Samir, Cao, Christine Do, Dollfus, Hélène, Domenach, Louis, Donadieu, Jean, Donadille, Bruno, Dougé, Aurore, Dreyfus, Hélène, Drunat, Séverine, Dubois-Laforgue, Danièle, Dubourg, Christele, Dubucs, Charlotte, Dubus, Jean-Christophe, Duchmann, Matthieu, Ducray, François, Ducrotverdun, Marion, Duffaud, Florence, Duffourd, Yannis, Dufour, William, Duhil de Bénazé, Gwénaelle, Dulac, Yves, Dunand, Olivier, Dunoyer de Segonzac, Denis, Dupain, Célia, Duployez, Nicolas, Dupré, Anaïs, Dupré, Aurélien, Dupuis-Girod, Sophie, Duquet, Romain, Durand, Alice, Durand, Benjamin, Durand-Zaleski, Isabelle, Durando, Xavier, Durr, Alexandra, Eberst, Lauriane, Edery, Patrick, Egloff, Matthieu, El Chehadeh, Salima, El Khattabi, Laïla, Engel, Camille, Entresangle, Mathilde, Espérou, Hélène, Esselin, Florence, Etancelin, Pascaline, Evrevin, Clémence, Ewenczyk, Claire, Eychene, Alain, Eychenne, Thomas, Ezaru, Andra, Fabry, Vincent, Faivre, Laurence, Faoucher, Marie, Faure, Clémentine, Fauré, Julien, Fauret-Amsellem, Anne-Laure, Feigerlova, Eva, Feillet, François, Fenwarth, Laurène, Férec, Claude, Fergelot, Patricia, Ferrari, Anthony, Ferraro-Peyret, Carole, Feugeas, Jean-Paul, Fieschi, Claire, Fievet, Alice, Fila, Marc, Fillatre, Rémi, Filser, Mathilde, Fin, Bertrand, Fiore, Mathieu, Firmin, Nelly, Flandrin-Gresta, Pascale, Flechon, Aude, Fournier, Benjamin, Fragny, Cécile, Francois-Heude, Marie-Céline, Francou, Bruno, Frébourg, Thierry, Fressart, Véronique, Frétigny, Mathilde, Funalot, Benoit, Fusaro, Mathieu, Gaignard, Pauline, Gandjbakhch, Estelle, Ganne, Benjamin, Garde, Aurore, Gatinois, Vincent, Gaucher, Céline, Gaudillat, Léa, Gaulard, Philippe, Gauthier, Lucas, Gay-Bellile, Mathilde, Geneste, Damien, Geneviève, David, Genin, Emmanuelle, Genoux, Sandrine, Geoerger, Birgit, Geoffroy, Véronique, Georget, Mathieu, Gérard, Bénédicte, Gertych, Witold, Halem, Souad Gherbi, Ghorab, Karima, Gille, Romane, Gillet, Charlène, Gillibert-Yvert, Marion, Gilly, Olivier, Gimenez-Roqueplo, Anne-Paule, Giraud, Sophie, Girerd, Barbara, Girodon, François, Glazunova, Olga, Gobert, Delphine, Goizet, Cyril, Gokce-Samar, Zeynep, Golmard, Lisa, Gomez-Roca, Carlos, Gonzales, Emmanuel, Gorce, Magali, Gorenstein, Marie-Clémence, Gorrichon, Kévin, Gottrand, Frédéric, Gouas, Laetitia, Gourdon, Stéphanie, Gourdy, Pierre, Gouronc, Aurélie, Goursaud, Claire, Gousse, Gaëlle, Gouy, Evan, Goze-Martineau, Odile, Gozlan, Diane, Grabli, David, Gras, Margaux, Grelet, Maude, Gressin, Laetitia, Grivel, Nathalie, Grotto, Sarah, Grouthier, Virginie, Grunenwald, Solange, Grunewald, Olivier, Gueguen, Paul, Guérin, Cécile, Guerrot, Anne-Marie, Guey, Stéphanie, Guffon, Nathalie, Guichet, Agnès, Guièze, Romain, Guillaud-Bataille, Marine, Guillemin, Francis, Guillerm, Erell, Guillermin, Yann, Guillet-Pichon, Virginie, Guillou, Isabelle, Guimbaud, Rosine, Guimier, Anne, Guissart, Claire, Guittet, Eric, Guy, Nathalie, Hadchouel, Alice, Abdallah, Hamza Hadj, Hadj-Rabia, Smail, Hadjadj, Samy, Hage-Sleiman, Mehdi, Haioun, Corinne, Halawi, Sara, Hamza, Abderaouf, Hanau, Perrine, Hanna, Nadine, Harbuz, Radu, Hardy, Gaëlle, Hauspie, Carine, Hayette, Sandrine, Heard, Jean-Michel, Heiblig, Maël, Heide, Solveig, Heidet, Laurence, Henry, Marcia, Hentgen, Véronique, Héron, Bénédicte, Héron, Delphine, Hervé, Dominique, Herzig, Anthony, Hirsch, Pierre, Hommais, Antoine, Honnorat, Jérôme, Horta, Edgar, Houdayer, Claude, Houillier, Pascal, Huet, Sarah, Hugot, Jean-Pierre, Huguenin, Yoann, Humbert, Marc, Humbert-Asensio, Marie-Laure, Huot, Laure, Ifrah, Norbert, Illouz, Frédéric, Imbard, Apolline, Imbert-Bouteille, Marion, Isambert, Nicolas, Isidor, Bertrand, Italiano, Antoine, Itzykson, Raphaël, Jaillard, Sylvie, Jamilloux, Yvan, Janin, Alexandre, Januel, Louis, Javelot-Jacquelin, Cécile, Jeanne, Médéric, Jedraszak, Guillaume, Jéru, Isabelle, Jeunemaitre, Xavier, Jeziorski, Eric, Jobic, Florence, Joly, Philippe, Jonard, Laurence, Jondeau, Guillaume, Jones, Natalie, Jouannic, Jean-Marie, Jouinot, Anne, Jouk, Pierre-Simon, Jourdy, Yohann, Jousselin, Kévin, Jouvenceau, Anne, Jubert, Charlotte, Julia, Sophie, Jurquet, Anne-laure, Juven, Aurélien, Kamal, Maud, Kantapareddy, Pascal, Kaphan, Elsa, Karayan-Tapon, Lucie, Kasper, Edwige, Kerbellec, Lara, Keren, Boris, Khalifa, Emmanuel, Van Kien, Philippe Khau, Kheddouci, Sihem, Kientz, Caroline, Kim, Rathana, Knapke, Antjie, Koenig, Michel, isabelle Kone, Konyukh, Marina, Kormann, Raphaël, Kossorotoff, Manoelle, Kuentz, Paul, Kyndt, Florence, L'Haridon, Anaïs, Labrune, Philippe, Lackmy, Marilyn, Lacombe, Didier, Lacroix, Ludovic, Laffargue, Fanny, Lahlou, Ghizlene, Laizet, Yec'han, Lambert, Laetitia, Lamoril, Jérôme, Lamouroux, Audrey, Landais, Emilie, Landman, Samuel, Landry, Elise, Lapillonne, Hélène, Lapointe, Anne-Sophie, Larcher, Lise, Lardeux, Pierre, Largeaud, Laetitia, Larger, Etienne, Larrouquere, Louis, Lasolle, Hélène, Lasseaux, Eulalie, Latypova, Xenia, Laurens, Tiphany, Laurent, Camille, Laurent-Puig, Pierre, Lautrette, Géraldine, Lauvray, Thomas, Lavallart, Benoît, Lavenu-Bombled, Cécile, Laverdure, Noémie, Le Bris, Yannick, Le Chalony, Catherine, Le Du, Nathalie, Le Folgoc, Gaëlle, Le Gac, Gerald, Le Gall, Jessica, Le Guillou, Edouard, Le Guillou, Xavier, Le Guyader, Gwenaël, Le Ray, Maryannick, Le Saux, Olivia, Le Tourneau, Christophe, Lebecque, Benjamin, Lebellec, Loïc, Lebigot, Elise, Leblond, Pierre, Leboulanger, Nicolas, Lebras, Laure, Lebre, Anne-Sophie, Lebreton, Louis, Lecoquierre, François, Lefebvre, Mathilde, Legendre, Marine, Leglise, Camille, Legrand, Clémentine, Lehalle, Daphné, Lejeune, Catherine, Lemaitre, Christine, Leman, Raphaël, Lepage, Mathis, Lermine, Alban, Leroy, Karen, Lesca, Gaëtan, Lesieur-Sebellin, Marion, Letexier, Mélanie, Lethimonnier, Franck, Levaillant, Lucie, Levy, Jonathan, Levy, Yves, Lévy, Pascale, Lhermitte, Ludovic, Linglart, Agnès, Lionnet, Clément, Livon, Doriane, Lode, Laurence, Lodin, Magalie, Lopez, Jonathan, Lopez, Maureen, Lortholary, Alain, Louha, Malek, Louvrier, Camille, Ludwig, Thomas E., Luvet, Auriane, Lyonnet, Stanislas, Makowski, Caroline, Malan, Valérie, Mallaret, Martial, Mallet, Delphine, Mallet, Stéphanie, Malphettes, Marion, Manaud, Nathalie, Mancini, Pierre, Manfredi, Sylvain, Manouvrier, Sylvie, Mansard, Luke, Mansard, Sandrine, Mansour-Hendili, Lamisse, Mansuy, Ludovic, Maquet, Julien, Marçais, Ambroise, Marceau-Renaut, Alice, Marec-Berard, Perrine, Marelli, Cécilia, Marenne, Gaëlle, Marey, Isabelle, Margier, Jennifer, Margot, Henri, Marie, Guillaume, Marin, Victor, Marisa, Laetitia, Marlin, Sandrine, Marquant, Emeline, Marquet, Valentine, Marsili, Luisa, Martin, Amaury, Martinerie, Laetitia, Maruani, Anna, Marzin, Pauline, Massard, Christophe, Masson, Emmanuelle, Mathieu, Flavie, Mathieu, Marion, Mathoulin-Pelissier, Simone, Matthieu, Flore, Mauras, Mathilde, Maureille, Aurélien, Mazel, Benoit, Mazeres, Mary, Leer, Anne Mc, Melki, Isabelle, Menassa, Rita, Méneret, Aurélie, Menjard, Julie, Mercier, Anne, Merieau, Elodie, Merlin, Marie-Sophie, Merlio, Jean-Philippe, Meslier, Cécile, Mesnard, Laurent, Mestre-Godin, Sandrine, Metay, Corinne, Meunier, Sandrine, Meyer, Pierre, Michaud, Vincent, Michel-Calemard, Laurence, Mignot, Cyril, Miguet, Marguerite, Millat, Gilles, Mirault, Tristan, Miron de l'Espinay, Albane, Molac, Clémence, Molin, Arnaud, Mondet, Julie, Monin, Faustine, Monin, Pauline, Monneur, Audrey, Monnot, Sophie, Montani, David, Morel, Elodie, Morel, Godelieve, Morel, Valérie, Moretta, Jessica, Morice-Picard, Fanny, Morillon, Lucie, Morin, Carole, Morin-Meschin, Marie-Emmanuelle, Morlat, Philippe, Moshous, Despina, Mouret-Fourme, Emmanuelle, Moussy, Alice, Moutton, Sébastien, Mouzat, Kévin, Muletier, Romane, Muller, Jean, Muller, Marie, Nadaj-Pakleza, Aleksandra, Nambot, Sophie, Nathan, Nadia, Nava, Caroline, Nectoux, Juliette, Netter, Jeanne, Neumann, Florent, Neveu, Julien, Nevière, Zoé, Nguyen, Laetitia, Niclass, Tanguy, Nicolas, Gaël, Nicolas, Laury, Ningarhari, Massih, Nogues, Catherine, Novello, Cécile, Nowak, Frédérique, Odent, Sylvie, Odou, Marie-Françoise, Olaso, Robert, Otmani, Sarah, Ovaert, Caroline, Pacot, Laurence, Pages, Mélanie, Paillard, Catherine, Palmyre, Aurélien, Panagiotakaki, Eleni, Pannard, Myriam, Paoletti, Anne, Papadopoulou, Maria T., Papathanasiou, Matthildi, Paquis, Véronique, Parfait, Béatrice, Paris, Camille, Paris, Clara, Paris, Françoise, Pasmant, Eric, Pasquet, Marlène, Passet, Marie, Pastoret, Cédric, Patat, Olivier, Patay, Léa, Paul, Antoine, Pebrel-Richard, Céline, Peduto, Cristina, Peffault de Latour, Regis, Pegat, Antoine, Pelletier, Annick, Pelletier, Valérie, Pellisson, Fanny, Pennamen, Perrine, Pereira, Victor, Pernin-Grandjean, Julie, Péron, Julien, Perrier, Alexandre, Perrier, Lionel, Perrin, Laurence, Perthus, Isabelle, Petit, Arnaud, Petit, Audrey, Petit, Florence, Petit, François, Petrov, Yuliya, Peyre, Hugo, Philippe, Christophe, Piard, Juliette, Pierre-Noël, Elise, Pierron, Gaëlle, Pimouguet, Clément, Pingault, Véronique, Pinson, Stéphane, Pion, Emmanuelle, Plaisancié, Julie, Planes, Marc, Planté-Bordeneuve, Pauline, Plas, William, Plutino, Morgane, Poignie, Ludivine, Poinsignon, Vianney, Poirée, Marilyne, Pons, Nicolas, Pontier, Bénédicte, Porquet-Bordes, Valérie, Porteret, Camille, Potier, Delphine, Potier, Louis, Pouessel, Damien, Poujade, Laura, Preau, Marie, Preudhomme, Claude, Prieur, Fabienne, Probst, Vincent, Procaccio, Vincent, Prot-Bertoye, Caroline, Prunier, Delphine, Puechberty, Jacques, Pujalte, Mathilde, Qebibo, Leila, Quemener-Redon, Sylvia, Quérée, Isabelle, Quijano-Roy, Susana, Quirin, Nicolas, Racine, Caroline, Raimbault, Sandra, Raimbourg, Judith, Rajaoba, Marine, Rambaud, Thomas, Ramirez, Carole, Ramond, Francis, Ranguin, Kara, Rausell, Antonio, Ravel, Jean-Marie, Ravelli, Claudia, Raverot, Gerald, Ray-Coquard, Isabelle, Raynal, Caroline, Réant, Patricia, Rebours, Vinciane, Redon, Richard, Réguerre, Yves, Reix, Philippe, Renard, Cécile, Renaud, Mathilde, Rendu, John, Renoux, Céline, Rey, Romain, Reynaud, Rachel, Rhinan, Lucie, Riant, Florence, Riccardi, Florence, Richard, Pascale, Ricou, Agathe, Rigalleau, Vincent, Rio, Marlène, Rivière, Axelle, Robelin, Patrick, Robert, Marion, Robert, Thomas, Rohmer, Barbara, Romanet, Pauline, Romoli, Arnaud, Rondeau, Sophie, Rooryck, Caroline, Roquelaure, Bertrand, Rosain, Jérémie, Rossi, Massimiliano, Rossignol, Sylvie, Rothenbuhler, Anya, Rouel, Nadège, Rouillon, Marine, Roux, Anne-Francoise, Roux-Buisson, Nathalie, Rouzier, Cécile, Roze, Emmanuel, Ruaud, Lyse, Ruault, Valentin, Ruysschaert, Claire, Saada, Esma, Saadi - Ait El Mkadem, Samira, Saandi, Thoueiba, Sabour, Niki, Sacconi, Sabrina, Saffroy, Raphaël, Safraou, Hana, Saillour, Virginie, Pierre, Aude Saint, Saint-Martin, Cécile, Saintigny, Pierre, Salaun, Gaëlle, Salgado, David, Salle, Laurence, Samuel, Didier, Sanlaville, Damien, Sapey-Triomphe, Laure, Sarnacki, Sabine, Sarrazin, Elisabeth, Sarret, Catherine, Satre, Véronique, Saugier-Veber, Pascale, Saultier, Paul, Saumet, Laure, Schaefer, Elise, Scheyer, Nicolas, Schiff, Isabelle, Schleiermacher, Gudrun, Schleinitz, Nicolas, Schluth-Bolard, Caroline, Schneider, Anouck, Schwartz, Bertrand, Sebaoun, Jean-Marc, Serey-Gaut, Margaux, Serrier, Hassan, Servais, Aude, Serveaux-Dancer, Marine, Sevenet, Nicolas, Seyve, Antoine, Sibony-Cohen, Alicia, Sicre de Fontbrune, Flore, Sigaudy, Sabine, Sigaux, François, Simaga, Fatoumata, Simmet, Victor, Simon, Pauline, Simon, Sophie, Sirveaux, François, Smol, Thomas, Solé, Guilhem, Soler, Gwendoline, Solignac, Pauline, Soriani, Marie-Hélène, Soubeyran, Isabelle, Soulier, Jean, Spelle, Laurent, Sperelakis-Beedham, Brian, Spinazzi, Marco, Spodenkiewicz, Marta, Spraul, Anne, Squiban, Barbara, Srikaran, Arunya, Steffann, Julie, Stetco, Anamaria, Stoeva, Radka, Stojkovic, Tanya, Stoppa-Lyonnet, Dominique, Suarez, Felipe, Sujobert, Pierre, Svahn, Juliette, Ta, Minh-Chau, Tabet, Anne-Claude, Tachon, Gaëlle, Tallegas, Matthias, Tallet, Anne, Tambourin, Pierre-Edmond, Tandonnet, Julie, 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Vauchel, Vincent, Vaur, Dominique, Velo-Suarez, Lourdes, Venat, Laurence, Vera, Gabriella, Verebi, Camille, Verley, Célia, Verlingue, Loïc, Verny, Christophe, Veronese, Lauren, Verotte, Nelly, Verret, Benjamin, Vial, Yoann, Vialard, Francois, Viari, Alain, Vidailhet, Marie, Vidaud, Dominique, Vidaud, Michel, Vignes, Stéphane, Vigouroux, Clothilde, Villard, Laurent, Villeneuve, Laurent, Villié, Patricia, Villy, Marie-Charlotte, Vinauger, Lara, Vinceneux, Armelle, Vincenot, Anne, Vinciguerra, Christine, Vitobello, Antonio, Vourc'h, Patrick, Vozy, Aurore, Vuillaume-Winter, Marie-Laure, Vuillaumier-Barrot, Sandrine, Wahbi, Karim, Wallet, Cédrick, Walter, Thomas, Walther-Louvier, Ulrike, Watson, Sarah, Waymel, Anne-Christine, Weinhard, Sara, Wicker, Camille, Willems, Marjolaine, Wourms, Justine, Wyrebski, Antoine, Yauy, Kévin, Zaidan, Mohamad, Zaloszyc, Ariane, Zattara, Hélène, Zawadzki, Christophe, and Ziegler, Alban

Published
2025
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100. Can foreign aid influence the level of industrialization in African countries?

Author

Rex Kweku Awuku Asiama and Kevin Nell

Subjects
Foreign aid, manufacturing, industrialisation, Africa, C23, E60, Finance, HG1-9999, Economic theory. Demography, HB1-3840
Abstract

AbstractCapital inflows, such as foreign aid, can serve as a means to enhance infrastructure development in developing countries. This suggests that foreign aid might have an impact on the level of industrialization in African nations. While existing studies indicate that foreign aid can affect the competitiveness of the manufacturing sector by appreciating the real exchange rate, the veracity of this claim relies on empirical evidence. This paper explores the influence of aid on manufacturing value added using time-series data spanning from 1990 to 2018 for 27 African countries. Employing a panel vector autoregression technique and generating associated impulse response functions, the study scrutinizes the interactions between foreign aid and manufacturing. The analysis is conducted on both the full dataset and subsamples disaggregated based on the income levels of countries. The results indicate that foreign aid acts as a stimulus for manufacturing, primarily through a sustained depreciation of the real exchange rate. This finding holds true for both the overall dataset and the subset of low-income countries. The study attributes this phenomenon to the strategic utilization of aid to enhance infrastructure, leading to a reduction in the price of non-tradables relative to tradables. Consequently, this enhances the profitability and output capacity of the manufacturing sector in African countries. In essence, the results suggest that foreign aid plays a role in influencing or stimulating industrialization in African countries. The study concludes with a discussion on the implications of these findings for industrial policy in African nations.

Published
2024
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