The number of passengers carried by MSC Cruises worldwide slightly increased in 2021 over the previous year, after dropping sharply in 2020 due to the coronavirus (COVID-19) pandemic. Overall, the volume of MSC Cruises' passengers totaled *** thousand in 2021, rising from *** thousand in 2020 but remaining below pre-pandemic figures.

Comprehensive statistics and key metrics for Studio City International Holdings Limited (MSC) including valuation ratios, profitability metrics, and financial data.

From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS_E, English). The dataset was used for: the EMNLP 2015 Workshop submission "Semantically enriched models for modal sense classification" by Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmer the LiLT submission "Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations" by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank. Composition of training and testing used for the classification experiments. The dataset was used for: the EMNLP 2015 Workshop submission "Semantically enriched models for modal sense classification" by submission Mengfei Zhou, Anette Frank,Annemarie Friedrich, and Alexis Palmer the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank. Manually annotated subsection of MASC (English). The dataset was used for the LiLT submission "Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations" by Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank. Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS_G, German). The dataset was used for the RepL4NLP submission "Multilingual Modal Sense Classification using a Convolutional Neural Network" by Ana Marasović and Anette Frank.

In the academic year of 2020/21, about 202,334 Master's degrees were earned in business across the United States, making it the most common master's degree earned. In that same year, another 47,257 Master's degrees were earned in engineering.

In order to encourage academic and related research on gender equality education and improve the academic standards of the above-mentioned topics, the Ministry of Education has formulated the "Key Points for the Ministry of Education to Award Master's and Doctoral Thesis and Journal Papers on Gender Equality Education" for awards.

This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.

Column Descriptions:

• Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.

• University Name: The name of the university offering the master's program.

• Per Year Fees: The tuition fees for the program, usually given in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or for full-time enrollment, respectively.

• About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.

• Program Duration: The duration of the master's program, typically expressed in years or months.

• University Location: The location of the university where the program is offered, including the city and state.

• Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

This dataset contains the Midnight Scanning Club (MSC) data, a dataset focused on the precise characterization of ten individual subjects via collection of large amounts of per-individual data. Each subject underwent twelve separate two-hour scanning sessions. In the first two sessions we collected four T1 images, four T2 images, four MR angiograms, and eight MR venograms. In the last ten sessions we collected five hours of resting-state fMRI data and over five and a half hours of task fMRI data across three different tasks. Participants also underwent extensive neuropsychological testing. These raw data are all provided here.

In addition to the raw data, we also provide several derivatives processed using both a volumetric (Talaraich-space) and a surface-based (fs_LR_32k space) pipeline. Volumetric derivatives include cross-session-average T1 and T2 images linearly registered to atlas (Talaraich) space; as well as resting-state data from each scanning session that has been fully preprocessed, motion-censored, and confound-regressed. Surface pipeline derivatives include cortical surfaces which were segmented from the T1 scans using freesurfer, hand-edited, and registered to fs_LR atlas space; resting-state data from each scanning session that has been fully preprocessed, motion-censored, and confound-regressed in CIFTI format (cortical: fs_LR32k; subcortical: Talaraich); cortical parcellations estimated from the resting-state data; vertex-wise whole-brain networks estimated from the resting-state data; task timecourses in CIFTI (cortical: fs_LR32k; subcortical: Talaraich) space; a selection of task contrast images in CIFTI (cortical: fs_LR32k; subcortical: Talaraich) space; myelin maps estimated from the T1- and T2-weighted anatomical scans; and matrices describing the physical geodesic/euclidean distances between every two points in the cifti image.

Details of this dataset are more fully described in Gordon EM, Laumann TO, Gilmore AW, Newbold DJ, Greene DJ, Berg JJ, Ortega M, Hoyt-Drazen C, Gratton C, Sun H, et al. (2017). Precision Functional Mapping of Individual Human Brains. Neuron 95, 791–807. This manuscript should be cited when publishing work using this data.

Comprehensive statistics and key metrics for MSC Industrial Direct Co., Inc. (MSM) including valuation ratios, profitability metrics, and financial data.

Financial overview and grant giving statistics of Msc Foundation

This is the set of data and scripts underlying the statistical analysis of environmental effects of the MSC Zoe incident in Dutch coastal waters in January 2019. The dataset is self-contained as it is composed of the basic data, the scripts and the markdown documents that generate the report.

In the academic year of 2021/22, about 880,250 students were awarded a Master's degree in the United States. This figure is projected to increase by the academic year of 2031/32, when it is forecasted that 1,000,460 students will be awarded a Master's degree.

The data set represents contextualised population parameter definitions extracted and developed from past NZQA Level 3 Statistics exam questions. and assessment schedules, namely those used for the achievement standards AS90642 and AS91584.The data set was developed by Haozhong Wei as part of his MSc dissertation project, under the supervision of Dr Anna Fergusson and Dr Anne Patel (University of Auckland | Waipapa Taumata Rau).An overview of the variables used in the dataset:1. Year: This variable is the year of the exam.2. Paper: This is the identifier of the paper, e.g., AS90642, indicating the specific exam to which the question belongs.3. Type: This variable indicates the type of data and usually identifies whether the entry is a question or an answer.4. Question part: This variable indicates the specific part number of the problem, e.g., 1a, 1b, 2, etc.5. Text: This is the full text of the question.6. Population parameter: A description of the parameter of the entire text.7. Parameter type: These variables further detail the type of overall parameter, such as ‘single mean’ or ‘single proportion’ or even ‘difference between two means’.

Question Paper Solutions of Mathematical Statistics (MS),Exam Paper,Joint Admission Test for MSc,Competitive Exams

This dataset contains supporting data for the combination of Swarm kinematic orbits which may be conducted using the software tools provided in the linked Github repository. It contains SLR normal point spreadsheets, spreadsheets of statistical analysis of residuals along station-satellite lines of sight, and 'gap' files which describe when data is missing. Together with the software tools, this can be used to automatically combine Swarm kinematic orbits and assess their quality.

In the academic year of 2022, it is expected that 551,460 female and 331,530 male students will earn a Master’s degree in the United States. These figures are a significant increase from the academic year of 1950, when 16,980 female students and 41,220 male students earned a Master’s degree.

What is a Master’s degree?

A Master’s degree is an academic degree granted by universities after finishing a Bachelor’s degree. Master’s degrees focus in on a specific field and are more specialized than a Bachelor’s. A typical Master’s program is about two years long, with the final semester focusing on the thesis. Master’s degree programs are usually harder to get into than Bachelor’s degree programs, due to the rigor of the program. Because these programs are so competitive, those with a Master’s degree are typically paid more than those with a Bachelor’s degree.

Master’s degrees in the United States

The number of master’s degrees granted in the United States has steadily increased since the 1970s and is expected to continue to increase. In 2021, the Master’s degree program with the worst job prospects in the United States by mid-career median pay was counseling, while the program with the best job prospects was a physician's assistant.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for applied mathematics statistics also recvd masters in applied mathematics statistics in the U.S.

Financial overview and grant giving statistics of Music South Corporation Msc

Belgium BE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data was reported at 18.704 % in 2022. This records a decrease from the previous number of 19.239 % for 2021. Belgium BE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 15.900 % from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 19.239 % in 2021 and a record low of 0.000 % in 2012. Belgium BE: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;

Composition of training and testing used for the classification experiments. The dataset was used for:

This is the dataset of the Master thesis titled "An Evaluation of the Merging Interaction between Humans and Interaction-Aware Vehicles". The dataset encompasses the results of 10 experiments conducted as part of the thesis, with each experiment involving 2 participants, resulting in a total of 20 participants. All participants provided informed consent before participating in the experiments. The research protocol was reviewed and approved by the ethical committee of TU Delft.

The experiments were conducted using a virtual reality driving simulator, allowing for the collection of comprehensive data on the interaction between human drivers and interaction-aware vehicles. The dataset includes raw data captured during the experiments, as well as analyzed results derived from the collected data. The data include the raw data from the experiments conducted in the virtual reality driving simulator, the eye-tracking data capturing participants' gaze and attention during the merging interactions and the analyzed results obtained from the collected data.