Our Work

Esta obra reúne investigaciones desarrolladas por estudiantes y docentes de licenciatura y posgrado, quienes abordan problemáticas actuales relacionadas con la mercadotecnia, el comporta…

Esta obra reúne investigaciones desarrolladas por estudiantes y docentes de licenciatura y posgrado, quienes abordan problemáticas actuales relacionadas con la mercadotecnia, el comportamiento del consumidor, los hábitos de lectura, el emprendimiento, la comunicación y el desarrollo social. Cada capítulo ofrece una perspectiva crítica y reflexiva sobre las transformaciones que experimentan los mercados y la sociedad contemporánea. A través de estas páginas, el lector encontrará no solo datos y análisis, sino también propuestas y reflexiones orientadas a comprender mejor las necesidades, intereses y comportamientos de distintos sectores de la población. Las investigaciones aquí presentadas ponen en el centro a las personas y reconocen la importancia de generar conocimiento con impacto social. Más que una recopilación de estudios, esta obra representa el pensamiento emergente de una nueva generación de investigadores comprometidos con la comprensión y transformación de su entorno, aportando una visión analítica, humana y propositiva ante los desafíos del presente.

Code and data needed to replicate analyses for our accompanying paper.

This is the first full release of Phenofhy, a new package for phenotype analysis in the Our Future Health (OFH) trusted research environment (TRE). See the README.md on GitHub and documentation site f…

This is the first full release of Phenofhy, a new package for phenotype analysis in the Our Future Health (OFH) trusted research environment (TRE). See the README.md on GitHub and documentation site for additional information on OFH, working in a TRE, and using the package.

This paper presents the development of a Hotel Management System with Location-Based Recommendation and Reservation, designed to address challenges associated with hotel discovery, reservation, and pa…

This paper presents the development of a Hotel Management System with Location-Based Recommendation and Reservation, designed to address challenges associated with hotel discovery, reservation, and payment through a centralized web-based platform. The system integrates location-based services to recommend nearby hotels based on users’ specified locations, while providing features for user authentication, real-time room availability, reservation management, and online payment. The system was implemented using HTML, CSS, and JavaScript for the frontend, with Django and Python for the backend and PostgreSQL for database management. The Geoapify API was integrated to support location-based hotel recommendations, while Flutterwave and Paystack were incorporated to facilitate online payment processing. The system was evaluated using 150 simulated searches, achieving a 95% success rate in recommending nearby hotels and a 97% payment success rate. Performance evaluation using Google Lighthouse recorded scores of 92% for Performance, 90% for Accessibility, 95% for SEO, and 98% for Best Practices. The study demonstrates how location-based services can be integrated with hotel reservation and payment functionalities to provide a centralized platform for hotel discovery and booking.

This submission is based on empirical research investigating the global data industry, a fundamental component of the AI model production chain. It specifically addresses the following terms of refere…

This submission is based on empirical research investigating the global data industry, a fundamental component of the AI model production chain. It specifically addresses the following terms of reference:(f) the importance of data sovereignty, and the opportunities presented by narrow, domain-specificAI models trained on Australian data in areas of Australian sectoral expertise;(g) the workforce and skills implications of AI, including the adequacy of Australia’s educationsystem, job creation and displacement, and the effects on the quality and security of jobs;(h) the adoption of AI by Commonwealth departments and agencies to improve services forAustralians, and the transparency and accountability measures that apply to AI use;(k) the risks and harms arising from AI, including fraud and scams, deepfakes and risks to the safetyand wellbeing of children and vulnerable Australians. We propose the following recommendations: 1) Developing evaluation metrics for assessing organisational productivity gains; 2) Restricting the outsourcing of core organisational functions and services and investing in datacontrol; 3) Localising Australia’s critical data workforce and developing long-term career pathways andlegal protection; 4) Workers must always communicate with, and be assessed by, human decision-makers in ahumanity centric workplace;  5) Ensuring transparency with workers regarding how AI is used in the workplace, providingworkers with the option to opt out of AI use, and establishing protections for conscientiousobjectors to AI use.  6) Establishing a Future of AI Made for All in Australia initiative and towards technologicalautonomy; 7) Forming a regulatory environment conducive to co-design approaches in AI development.

Two methods for deciding whether the snow a vertically pointing radar detects aloft reaches the ground, released with Roversi et al., Virga hidden within the blind zone of spaceborne radars: implicati…

Two methods for deciding whether the snow a vertically pointing radar detects aloft reaches the ground, released with Roversi et al., Virga hidden within the blind zone of spaceborne radars: implications for surface snowfall estimates in coastal East Antarctica (Atmospheric Chemistry and Physics, submitted).A classification of radar profiles into precipitation, virga and noise, according to whether the echo survives to the lowest gate free of ground clutter. Two continuity criteria reject the near-surface spikes that ground clutter produces and the single-gate returns that carry no vertical structure.A simulation of the lowest observable height of a spaceborne radar, which hides the lower gates of a ground-based record and reports what the blind zone costs in occurrence and in accumulated water equivalent.This is the method rather than the analysis pipeline of the paper: it carries no figure scripts and no intermediate files. Over the four years of the Mario Zucchelli record it reproduces the published accumulation table to within 0.3 %, and the excess at the simulated heights to the rounding of the paper.The classification needs only equivalent reflectivity in dBZ over (time, range), so it applies to any vertically pointing profiler. A reader of the archived files also gets a reader for them, because the published NetCDF stores absolute time as a data variable and orders its dimensions the other way round.One month of the record ships as a worked example, so both command-line scripts run as soon as the package is unpacked.The reflectivity to snowfall rate relations collected in snowreach.zesr are published by others and are included only so that the simulation can return an accumulation. The papers they belong to are named in the code and in the README, and they are what should be cited for the coefficients.Acknowledgement. The package was assembled from the analysis code of the paper with Claude Opus 5.5 (Anthropic), used through Claude Code: it extracted the two methods from a larger working repository, wrote the command-line scripts and the documentation, and checked the result against the published table. The methods are those of the paper, and the decisions about what to release and the verification of the outcome are the author's.

Code for HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone. For instruction on how to run the codes, please refer to https://github.com/yhwang08/HydroDif…

Code for HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone. For instruction on how to run the codes, please refer to https://github.com/yhwang08/HydroDiffusion. Please note that this Zenodo record provides an archived version of the code. Any newer updates or additional documentation will be maintained in the GitHub repository, which should be considered the primary location for the most up-to-date version of the code.

A consensus atlas and nomenclature of spinal cord across species, we have performed 10X Multiome across the entire Macaque and Mouse cord as well as Human cervical and lumbar segments, as well as maca…

A consensus atlas and nomenclature of spinal cord across species, we have performed 10X Multiome across the entire Macaque and Mouse cord as well as Human cervical and lumbar segments, as well as macaque spatial transcriptomics. The manuscript can be found on biorxiv.

Мақолада Ўзбекистоннинг жаҳон иқтисодиётидаги ўрни, миллий иқтисодиётнинг таркибий хусусиятлари, ташқи савдо алоқалари, экспорт салоҳияти, хорижий инвестициялар ва минтақавий иқтисодий ҳамкорлик масал…

Мақолада Ўзбекистоннинг жаҳон иқтисодиётидаги ўрни, миллий иқтисодиётнинг таркибий хусусиятлари, ташқи савдо алоқалари, экспорт салоҳияти, хорижий инвестициялар ва минтақавий иқтисодий ҳамкорлик масалалари таҳлил қилинади. Мамлакатнинг географик жойлашуви, табиий ресурслари, меҳнат салоҳияти ва транспорт-коммуникация имкониятлари унинг халқаро иқтисодий муносабатлардаги иштирокини белгилаб берувчи муҳим омиллар сифатида кўриб чиқилади. Шунингдек, иқтисодиётни диверсификация қилиш, юқори қўшилган қийматли маҳсулотлар ишлаб чиқаришни кенгайтириш ва жаҳон бозорида рақобатбардошликни ошириш йўналишлари асосланади.