Most of our work has resulted in scholarly publications. On this page you can review our publications to get an idea about our work.
Nocturnal sleep stability in MSLT-referred hypersomnolence: baseline distributions, test–retest floors and scorer robustness of candidate trial endpoints in a single-laboratory clinical archive
BackSlice: slice-conditioned adaptation of GitHub backports
October, 2026 • Dataset
Anonymous
This archive is the replication package for BackSlice, a multi-language adapter that drafts a GitHub backport. Given an original added-line hunk and the stable file at the same path, BackSlice compute…
This archive is the replication package for BackSlice, a multi-language adapter that drafts a GitHub backport. Given an original added-line hunk and the stable file at the same path, BackSlice computes a semantic slice from pull-request-local abstract-syntax-tree diffs, a stable name index, and optional functional and compilation sets, then returns an adapted hunk and a warning list. Adaptation uses a gated slice-conditioned language model (BackSlice or its fine-tuned variant, BackSlice-FT) or deterministic rules R1–R5. Vanilla and few-shot prompting are baselines that do not see the slice.
The archive contains MIT-licensed source, a README with the directory layout and commands to install and run the project, labeled pull-request CSVs for Ansible, Bitcoin, CPython, Salt, and CMSSW, leave-one-project-out fine-tune JSONL, cached stable-branch name indexes, and the adapter dumps and overlap metrics for copy, rules, vanilla, few-shot, BackSlice, and BackSlice-FT. The evaluation covers 1,048 incompatible hunks. Overlap with the human backport is not a success rate. API tokens and the subject-repository clones are not included. The README explains how to supply tokens and clone Ansible, Bitcoin, CMSSW, CPython, and Salt locally. Author names are omitted for double-anonymous review.
backporting, semantic slicing, pull request, code adaptation, large language models, fine-tuning, GitHub, empirical software engineering
Celestial Narratives in the Age of AI: A Critical Review of Astronomy, Culture, and Language in Contemporary Literature
October, 2026 • Journal article • Linglit Journal
Belay Sitotaw Goshu, Muhammad Ridwan
This review critically examines the intersection of artificial intelligence, astronomy, and cultural narrative in contemporary literature and practice. While no single volume bears the exact title und…
This review critically examines the intersection of artificial intelligence, astronomy, and cultural narrative in contemporary literature and practice. While no single volume bears the exact title under review, the surveyed literature collectively maps a vibrant and contested field. The analysis synthesizes findings across four domains: the quasi-religious sacralization of AI in popular and anthropological discourse; the "stellar turn" in contemporary fiction and poetry, particularly the trope of astro-eisegesis and the poetics of extraterrestrial encounter; the operational transformation of astronomical practice through AI-driven scheduling and machine learning applied to historical star charts; and Indigenous-led interventions that reframe AI as cultural practice governed by training protocols and narrative sovereignty. The review identifies three unresolved tensions: the gap between AI's discursive sacralization and its material infrastructure; the risk that literary cosmopoetics reproduces the anthropocentrism it critiques; and the insufficient theorization of language politics in AI-mediated translation of ancient astronomical records. It argues that the most vital contributions refuse easy synthesis, insisting on the irreducibility of language, protocol, and Country to algorithmic operations. The celestial narrative proper to the AI age is thus not a single story but a contested space: the story of who gets to tell the story of the sky. The review concludes by calling for sustained dialogue across astronomy, literary studies, anthropology, and Indigenous knowledge systems.
artificial intelligence; celestial narrative; cosmopoetics; Indigenous data sovereignty; astronomy
EVALUATING SOCIO-TECHNICAL INTEROPERABILITY, CLINICIAN TRUST, AND DIGITAL EQUITY IN AI INTAKE DEPLOYMENTS: A MULTI-SITE QUALITATIVE STUDY OF US COMMUNITY HEALTH PROVIDERS
December, 2023 • Journal article • INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY RESEARCH & MANAGEMENT (IJETRM)
Open access data on Mosquito Alert participation and sampling effort.
This dataset contains data on participation and sampling effort in the Mosquito Alert citizen science system. It can be used for a…
Open access data on Mosquito Alert participation and sampling effort.
This dataset contains data on participation and sampling effort in the Mosquito Alert citizen science system. It can be used for a variety of purposes, including (a) to adjust estimates of mosquito population densities and human-mosquito encounters based on sampling effort, and (b) to better understand the dynamics of citizen scientists' participation. The data is organized spatially by grids of "sampling cells," drawn at intervals of 0.05 degree and 0.025 degree latitude and longitude, and it is based on optional anonymous background tracks from the Mosquito Alert app. The dataset includes raw track counts aggregated in sampling cells, along with estimates of sampling effort based on a model of participants' propensity to send any report as a function of the time elapsed since they first began participating.
The repository is hosted on both Zenodo and GitHub and contains the following files:
sampling_effort_daily_cellres_025.csv.gz - Daily participation and sampling effort in 0.025 degree sampling cells.
sampling_effort_daily_cellres_025_metadata.json - Metadata for the 0.025 degree sampling cell data.
sampling_effort_daily_cellres_05.csv.gz - daily participation and sampling effort in 0.05 degree sampling cells.
sampling_effort_daily_cellres_05_metadata.json - Metadata for the 0.05 degree sampling cell data.
CITATION.cff - Shows how to cite this dataset.
LICENSE - License for this dataset.
.gitignore - Specifies which files are excluded from the git repository.
README.md - This file.
.github/workflows/auto-release.yml - Script used for automating releases from GitHub.
Juvenile-Onset Huntington's Disease in a 12-Year-Old Girl: A Rare Case Report
October, 2026 • Journal article • Annals of Case Reports and Clinical Studies
Shaun Nevil1*, Amay Wattamwar2, Pratyusha Dutta3, Shreya Gupta4, Kanishka Verma5, Vishvas Ramala GK6, Anton Charles S1 and Chaitra CS7
Huntington Disease (HD) is an autosomal dominant neurodegenerative disorder caused by CAG repeat expansion in the HTT gene. Juvenile Huntington disease (JHD), defined by onset before 20 years, is unco…
Huntington Disease (HD) is an autosomal dominant neurodegenerative disorder caused by CAG repeat expansion in the HTT gene. Juvenile Huntington disease (JHD), defined by onset before 20 years, is uncommon and often differs from adult-onset disease, with cognitive, behavioural, rigidity, ataxia, and epileptic manifestations predominating over chorea. We report a 12-year-old girl presenting with a three-month history of mild bilateral action tremor and a two-month history of declining academic performance, accompanied by irritability and social withdrawal. Neurological examination revealed mild choreiform finger movements, axial hypotonia, subtle saccadic slowing, impaired tandem gait, and mild dysarthria. The Unified Huntington's Disease Rating Scale motor score was 18, while cognitive screening demonstrated deficits in attention and executive function. Genetic testing confirmed a pathogenic HTT CAG expansion of 62 repeats, with 18 repeats on the normal allele, establishing JHD. There was no known family history of HD. Cascade testing of the clinically asymptomatic 54-year-old mother unexpectedly identified a 39-CAG repeat allele within the reduced-penetrance range. The marked intergenerational expansion from 39 to 62 repeats and absence of an apparent family history highlight genetic anticipation and clinically silent parental carriage. Although paternal transmission predominates in JHD, this case demonstrates that substantial maternal transmission can occur. It also highlights the diagnostic importance of recognizing academic and behavioural deterioration as early manifestations of JHD and the role of cascade testing and genetic counselling in apparently sporadic pediatric cases.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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