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TECHEM COMPASS: TECHEM COMPASS

Institutional digital repository NTL (National Library of Technology (NTK), Czech Republic) · 2015

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Industrie-Compass = Industrijski-Compass

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ricci-colasanti/COMPASS: COMPASS

Ric Colasanti · Zenodo (CERN European Organization for Nuclear Research) · 2026

# VERSION 1.0 – currently under peer-review #Synthetic populations are increasingly used across research and policy applications, particularly in domains where modelling relies on detailed representations of populations and their spatial distribution. Spatially explicit synthetic populations have gained particular importance for analysing place-based interventions, including urban planning, climate mitigation strategies, and the assessment of health inequalities, all of which often require granular spatial resolutions.Despite their growing relevance, the generation of robust real-world data inputs for such applications remains challenging. Existing approaches—most notably those based on simulated annealing—face limitations in terms of robustness, representativeness, and transparency of uncertainty.To address these challenges, we present COMPASS, an open-source software package for the creation of spatially explicit synthetic populations. COMPASS enables the generation of high-resolution population datasets while (1) ensuring aggregate-level representativeness across multiple scales (e.g. individuals and households), (2) preserving harmonised household and kinship structures, and (3) systematically monitoring uncertainty arising from the population synthesis process.COMPASS is provided as a performance-optimised, multi-platform software framework and is designed for seamless integration with common statistical environments, including R and Python.

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ricci-colasanti/COMPASS: COMPASS PR

Ric Colasanti · Zenodo (CERN European Organization for Nuclear Research) · 2026

VERSION 1.0 – currently under peer-review Synthetic populations are increasingly used across research and policy applications, particularly in domains where modelling relies on detailed representations of populations and their spatial distribution. Spatially explicit synthetic populations have gained particular importance for analysing place-based interventions, including urban planning, climate mitigation strategies, and the assessment of health inequalities, all of which often require granular spatial resolutions. Despite their growing relevance, the generation of robust real-world data inputs for such applications remains challenging. Existing approaches—most notably those based on simulated annealing—face limitations in terms of robustness, representativeness, and transparency of uncertainty. To address these challenges, we present COMPASS, an open-source software package for the creation of spatially explicit synthetic populations. COMPASS enables the generation of high-resolution population datasets while (1) ensuring aggregate-level representativeness across multiple scales (e.g. individuals and households), (2) preserving harmonised household and kinship structures, and (3) systematically monitoring uncertainty arising from the population synthesis process. COMPASS is provided as a performance-optimised, multi-platform software framework and is designed for seamless integration with common statistical environments, including R and Python.

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Industrie-Compass = Pr°umyslový compass

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erahman0008/COMPASS-Med: COMPASS-Med

Eqram Rahman · Zenodo (CERN European Organization for Nuclear Research) · 2025

Full Changelog: https://github.com/erahman0008/COMPASS-Med/commits/V.01

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ricci-colasanti/COMPASS: COMPASS PR

Ric Colasanti · Zenodo (CERN European Organization for Nuclear Research) · 2026

VERSION 1.0 – currently under peer-review Synthetic populations are increasingly used across research and policy applications, particularly in domains where modelling relies on detailed representations of populations and their spatial distribution. Spatially explicit synthetic populations have gained particular importance for analysing place-based interventions, including urban planning, climate mitigation strategies, and the assessment of health inequalities, all of which often require granular spatial resolutions. Despite their growing relevance, the generation of robust real-world data inputs for such applications remains challenging. Existing approaches—most notably those based on simulated annealing—face limitations in terms of robustness, representativeness, and transparency of uncertainty. To address these challenges, we present COMPASS, an open-source software package for the creation of spatially explicit synthetic populations. COMPASS enables the generation of high-resolution population datasets while (1) ensuring aggregate-level representativeness across multiple scales (e.g. individuals and households), (2) preserving harmonised household and kinship structures, and (3) systematically monitoring uncertainty arising from the population synthesis process. COMPASS is provided as a performance-optimised, multi-platform software framework and is designed for seamless integration with common statistical environments, including R and Python.

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COMPASS‐II: COMPASS Future Programs

Doshita, Norihiro, The COMPASS Collaboration · AIP conference proceedings · 2011

The COMPASS (COmmon Muon and Proton apparatus for Structure and Spectroscopy) experiment started more than 10 years ago and has published many results concerning nucleon structure and hadron spectroscopy. We propose additional measurements for a new fascinating QCD-related studies of nucleon structure and hadron spectroscopy with small modifications of the present apparatus, that includes either an unpolarized or polarized target.

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Compass

Sandra Wilson · The British Museum · 2026

Compass used especially to draw circles on metals and measures aspects of the silver pieces, e.g. the thickness of the silver plate.

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Compass

Nsangou, Steeve, `25 · Scholarly and Creative Works from DePauw University (DePauw University) · 2024

According to the National Center of Education Statistics (NCES), 15.4 million students were enrolled in an undergraduate, degree-earning program during the 2021 academic year (NCES, 2023). By comparison, there are an estimated 1.5 – 1.6 million teachers in post-secondary education (NCES, 2024). Across all types of degree offering institutions (such as private or public colleges), this results in a student-to-teacher ratio ranging from 10:1 and 24:1 (NCES, 2024). This ratio implies that one teacher who may teach at least three courses a semester is responsible for ensuring a quality education and academic success to anywhere between 30 - 72 students (Canyons, 2024). These are 30-to-72 names, final exams, and grades that a professor should ensure success toward. However, this high workload and large pool of people seldom allow teachers to keep up with all students. Compass addresses this problem by providing educators with a data-driven approach to help students succeed academically. Compass aims to give teachers specific insight into their student’s performance – whether strong or weak – and advise the teacher on particular approaches the student can take to improve their performance. It uses data commonly available to teachers to achieve this goal, such as class size, student demographics, quiz/test scores, and letter grades. Its interactive interface and minimal design allow teachers to access academic data at different levels. These scopes include but are not limited to: overall student performance, student performance by class/subject, student performance by assignment type, and individual student performance. With Compass, there is less generalization in feedback and greater accuracy in outlining student success.

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COMPASS

Veersinh Patil · 2019

Pain is an abstract concept which varies from person to person. The current pain measurement techniques rely solely on a patient's tolerance to pain and the ability to communicate the said pain. Hence, there is a need for a comprehensive and objective system to evaluate pain. This need stems from the general difficulty doctors and patients experience when self-reporting their pain levels, as well as cases where the patients may be untruthful or unable to communicate their pain levels. An objective system, one used in parallel with the current subjective methods, may help doctors effectively manage pain and prescribe the correct medication, as well as the appropriate doses. This thesis will study and evaluate the similarities and differences between chronic pain and acute pain through testing various biosensors such as electroencephalogram (EEG), respiration rate (RR), galvanic skin response (GSR), electromyography (EMG), etc. This system of sensors will be tested on approximately thirty subjects here at Northeastern University, and thirty patients with chronic lower back pain at the Brigham's Women's Hospital, pending the approval of the IRB. The patients will be instructed to go through a series of maneuvers and the sensors attached will record the pain level of the subject. From there, the collected data will be analyzed to determine any statistically significant sensors. Along with the above-mentioned points, this thesis focuses on designing and justifying an appropriate apparatus to carry all the equipment in an efficient and functional manner to make the testing, data reading and evaluation as easy and consistent as possible for the user and the patient.

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Compass

Figueiredo, Valdo · HELIN Digital Commons · 2013

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Compass

Julian A. Smith · 2008

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Compass

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Compass

Rob Vollmar · World Literature Today · 2018

WORLDLIT.ORG 27 Compass Mathias Énard Trans. Charlotte Mandell New Directions A t the very time one should be looking ahead to the excellent works in translation the new year will bring, I’ve found myself lingering over a title released in mid-2017, Charlotte Mandell’s English translation of Mathias Énard’s Compass. Upon reading it for the second time (no small feat considering it clocks in at just under five hundred pages), I had the unshakable feeling that this book represented, not just a high-water mark for books in translation for 2017, but a landmark for the times through which we are passing. To be sure, Compass will challenge even the most cultured reader with its dizzying array of historical figures, musical works, and scholarly concerns. Énard knows that he is asking much from the reader and loops his narratives through the most important of these elements enough times that the important ones take on a life of their own, a life made richer by the information we merely read and release. But in exchange for our attention, Compass offers something affirming and even comforting: a counterbalance to our prevailing narrative that the world is ugly and its people are sad. It is an invitation to remember. To remember the long history between the West and the Middle East, filled with human triumphs to counterbalance the national tragedies. To remember that our passions, human or otherwise, can bring deep and rich meaning to our lives, sustain us in our longest nights of the soul. To remember that the quest to know and, ideally, to understand is not a journey often completed in one lifetime but is often reached standing upon the shoulders (and lifework) of equally driven and flawed human beings. To remember the power of great writing to invite us outside of our individual concerns and enter a place where we are reminded that we are not alone. Separated, even by the immeasurable gulf between the self and the other, we’re really not all that different, and that is our hope for the future. Rob Vollmar Book Review Editor editor’s pick Nausis by Eleni Kefala for G. D. It was much easier to tell why it was called the golden grotto than to get into it. . . . It appears to have been used as a cemetery, for rows of tombs have been found here and marble statuettes. We turned over the thin sandy soil . . . and found quantities of ancient broken bits of pottery. They arrive here from everywhere in the middle of the night carrying their earthenware vessels. They cross our sleep above the wave like a coming-of-age celebration. glaukos and telegandros eudamos, timaritos, polykarmos and pythagoras. Navigation names on side walls rocks and roofs written in columns wooden statues. eunomos, kallimachos, aischylos, amphisthenes, lysikrates, nikagoras. They arrive here from everywhere in the middle of the night marble figurines carrying their hope in backpacks. Their boats sink from age on rocks and caves lonely youths children, anonymous and short-sailing. When we rise in the morning they are waiting for us patiently on the beach with folded arms earthenware dolls – alan, sena, muhammad, sahara, jihan, sherin. Around them fragments of ancient vessels. In the depths of the golden cave on the rock a lonely name appears in liquid red clay – nausis. Translation from the Greek By Adam Goldwyn ...

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Compass

University of Pittsburgh Press eBooks · 2017

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COMPASS

Winter, Michael · Zenodo (CERN European Organization for Nuclear Research) · 2025

Codebook and collected data from the COMPASS study module in the Corona Health App

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COMPASS

Chien-Wei Hu, Hewijin Christine Jiau · 2016

Application-oriented assignments are considered as effective after-class practices in programming courses. A good application-oriented assignment will guide students using taught programming concepts as fundamental to accomplish the requirements described in the assignment. However, the instructor has no reference to select requirements which provide linkages to the programming concepts. In this work, COMPASS, the COntext-Monitoring Programming Assignment Suggestion System, is provided. COMPASS preserves knowledge linking from programming concepts to assignment requirements. After transferring programming concepts to correlated assignment requirements, COMPASS further provides application-oriented assignments with these requirements. The instructor can select one of the application-oriented assignments and issue it directly. If more practices are needed, the instructor can also modify the selected application-oriented assignment through the assistance of COMPASS. COMPASS has been applied to programming courses for eight semesters. The results show that the suggested application-oriented assignments do meet the practising targets. Students apply the programming concepts as expected to fulfil the assignment requirements. COMPASS provides verified and formalized guidance to the instructor and acquires effective application-oriented assignments for students.

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Compass

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Compass

Debjyoti Paul, Feifei Li, Murali Krishna Teja et al. · 2017

With the widespread growth of various social network tools and platforms, analyzing and understanding societal response and crowd reaction to important and emerging social issues and events through social media data is increasingly an important problem. However, there are numerous challenges towards realizing this goal effectively and efficiently, due to the unstructured and noisy nature of social media data. The large volume of the underlying data also presents a fundamental challenge. Furthermore, in many application scenarios, it is often interesting, and in some cases critical, to discover patterns and trends based on geographical and/or temporal partitions, and keep track of how they will change overtime.

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