Data Dictionary (column description) - Gender: Gender of the student (male/female) - EthnicGroup: Ethnic group of the student (group A to E) - ParentEduc: Parent(s) education background (from some_highschool to master's degree) - LunchType: School lunch type (standard or free/reduced) - TestPrep: Test preparation course followed (completed or none) - ParentMaritalStatus: Parent(s) marital status (married/single/widowed/divorced) - PracticeSport: How often the student parctice sport (never/sometimes/regularly)) - IsFirstChild: If the child is first child in the family or not (yes/no) - NrSiblings: Number of siblings the student has (0 to 7) - TransportMeans: Means of transport to school (schoolbus/private) - WklyStudyHours: Weekly self-study hours(less that 5hrs; between 5 and 10hrs; more than 10hrs) - MathScore: math test score(0-100) - ReadingScore: reading test score(0-100) - WritingScore: writing test score(0-100)

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported by the paragraph and abstain from answering. The English version of SQuAD2.0 was machine translated to Slovene, then the translation was manually reviewed and corrected where needed. The data is provided in JSON format and consists of a training set and a validation set.

One method that can help slow the spread of coronaviruses is disinfection with UV light. The Delta and Omicron variants of the COVID-19 virus (SARS-CoV-2) have come to dominate the later stages of the pandemic due to their higher rates of transmission. In this work, it is shown that a 17% higher UV254 dose is required for the disinfection of Delta and Omicron variants when compared to the ancestral strain of SARS-CoV-2. The UV254 disinfection rate constants for SARS-CoV-2 and the Delta and Omicron variants were found to be 1.4 ± 0.3, 1.1 ± 0.2, and 1.1 ± 0.2 cm2/mJ, respectively. The rate constants of Delta and Omicron were statistically different from the ancestral strain of SARS-CoV-2 at the 95% confidence level based on at least three replicate experiments. It is suggested that the reason for this difference is the absence of repeating uracil (U) bases in the genome of the two variants. The UV254 sensitivity of repeating pyrimidine bases is well-established. There are 2.6 and 3.7% fewer uracil triplets (UUU) in the Delta and Omicron variants, respectively, when compared to SARS-CoV-2. This difference in UV254 sensitivity is relevant to a range of UV disinfection applications including upper-room disinfection, air handling equipment, aircraft sanitization, and others.

United States O'Hare Intl Airport: Cargo Handled: Domestic data was reported at 41.712 Ton th in Sep 2018. This records a decrease from the previous number of 45.566 Ton th for Aug 2018. United States O'Hare Intl Airport: Cargo Handled: Domestic data is updated monthly, averaging 43.400 Ton th from Dec 1999 (Median) to Sep 2018, with 226 observations. The data reached an all-time high of 245.065 Ton th in Oct 2003 and a record low of 19.002 Ton th in Dec 1999. United States O'Hare Intl Airport: Cargo Handled: Domestic data remains active status in CEIC and is reported by O'Hare International Airport. The data is categorized under Global Database’s United States – Table US.TA021: Airport Statistics: O'Hare International Airport.

This statistic shows the revenue of the industry “material handling equipment manufacturing“ in New Jersey by segment from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of material handling equipment manufacturing in New Jersey will amount to approximately 576,0 million U.S. Dollars by 2024.

This data set contains estimates of the base rates of 550 food safety-relevant food handling practices in European households. The data are representative for the population of private households in the ten European countries in which the SafeConsume Household Survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK).

Sampling design

In each of the ten EU and EEA countries where the survey was conducted (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, UK), the population under study was defined as the private households in the country. Sampling was based on a stratified random design, with the NUTS2 statistical regions of Europe and the education level of the target respondent as stratum variables. The target sample size was 1000 households per country, with selection probability within each country proportional to stratum size.

Fieldwork

The fieldwork was conducted between December 2018 and April 2019 in ten EU and EEA countries (Denmark, France, Germany, Greece, Hungary, Norway, Portugal, Romania, Spain, United Kingdom). The target respondent in each household was the person with main or shared responsibility for food shopping in the household. The fieldwork was sub-contracted to a professional research provider (Dynata, formerly Research Now SSI). Complete responses were obtained from altogether 9996 households.

Weights

In addition to the SafeConsume Household Survey data, population data from Eurostat (2019) were used to calculate weights. These were calculated with NUTS2 region as the stratification variable and assigned an influence to each observation in each stratum that was proportional to how many households in the population stratum a household in the sample stratum represented. The weights were used in the estimation of all base rates included in the data set.

Transformations

All survey variables were normalised to the [0,1] range before the analysis. Responses to food frequency questions were transformed into the proportion of all meals consumed during a year where the meal contained the respective food item. Responses to questions with 11-point Juster probability scales as the response format were transformed into numerical probabilities. Responses to questions with time (hours, days, weeks) or temperature (C) as response formats were discretised using supervised binning. The thresholds best separating between the bins were chosen on the basis of five-fold cross-validated decision trees. The binned versions of these variables, and all other input variables with multiple categorical response options (either with a check-all-that-apply or forced-choice response format) were transformed into sets of binary features, with a value 1 assigned if the respective response option had been checked, 0 otherwise.

Treatment of missing values

In many cases, a missing value on a feature logically implies that the respective data point should have a value of zero. If, for example, a participant in the SafeConsume Household Survey had indicated that a particular food was not consumed in their household, the participant was not presented with any other questions related to that food, which automatically results in missing values on all features representing the responses to the skipped questions. However, zero consumption would also imply a zero probability that the respective food is consumed undercooked. In such cases, missing values were replaced with a value of 0.

The global mud handling equipment market, valued at $645 million in 2025, is projected to experience steady growth, driven by increasing offshore and onshore drilling activities, particularly in regions with significant oil and gas reserves. The market's Compound Annual Growth Rate (CAGR) of 4.5% from 2025 to 2033 indicates a consistent demand for efficient and environmentally friendly mud handling solutions. This growth is fueled by the adoption of advanced technologies like zero-emission and closed-loop systems, which minimize environmental impact and improve operational efficiency. Stringent environmental regulations across the globe are also pushing the adoption of these advanced systems, further stimulating market growth. The key segments driving growth are offshore applications, which tend to require more sophisticated and robust equipment, and zero-emission systems, reflecting a broader industry trend towards sustainability. Major players like TSC, GN Solids Control, and NOV Rig Technologies are actively involved in developing and supplying innovative mud handling equipment to meet the evolving needs of the oil and gas industry. Competition within the market is moderately intense, with companies focusing on product differentiation, technological advancements, and expansion into new geographical markets. The regional distribution of the market reflects the global distribution of oil and gas exploration and production activities. North America and the Asia-Pacific region are expected to be key contributors to market growth, driven by robust exploration and production in the United States, China, and other key areas. However, the market also faces certain challenges, including fluctuations in oil prices and increasing pressure to reduce operational costs. These factors can influence investment decisions in the sector and, consequently, affect the demand for mud handling equipment. Nevertheless, the long-term outlook remains positive, supported by the continued growth in global energy demand and the need for efficient and sustainable drilling operations. The increasing focus on enhanced oil recovery techniques also contributes to the demand for specialized mud handling equipment, creating further growth opportunities.

Zero Client Market Outlook

The global zero client market size was valued at approximately USD 1.6 billion in 2023 and is projected to grow to USD 3.2 billion by 2032, exhibiting a compound annual growth rate (CAGR) of around 8.1% from 2024 to 2032. This growth is driven by increasing demand for streamlined and efficient computing solutions across various industries. The market is witnessing robust development due to advancements in virtualization technologies, enhanced security needs, and the growing trend of remote workforces requiring efficient data access solutions without the complexities of traditional PC setups.

One of the primary growth factors driving the zero client market is the rising adoption of virtualization technologies across industries such as IT, telecommunications, and education. Organizations are increasingly focusing on reducing hardware costs and enhancing data security, which zero clients effectively address by centralizing computing resources and decreasing endpoint vulnerabilities. As companies become more reliant on cloud services and remote operations, the demand for solutions that offer high security and minimal IT maintenance costs continues to rise. Zero clients, by eliminating the need for a local operating system and storage, present a viable solution for enterprises looking for effective cost management and robust data security.

The education sector is another significant contributor to the growth of the zero client market. Educational institutions are adopting zero client solutions to create efficient and cost-effective computer labs, thereby facilitating better learning experiences. By leveraging zero client architecture, educational institutions can manage and deploy software updates centrally, reducing the need for complex IT infrastructure and support. This not only cuts down on costs but also ensures that all students have access to the same resources and software, promoting an equitable learning environment. Moreover, the simplicity and reliability of zero clients make them an attractive choice for educational settings where technical support resources may be limited.

Furthermore, the healthcare industry's growing need for secure and compliant data handling solutions is propelling the market forward. Zero client devices, being devoid of local storage, minimize data breach risks, which is crucial for healthcare providers handling sensitive patient information. With regulatory requirements such as HIPAA in the United States emphasizing the need for secure data management, healthcare organizations are turning to zero clients to ensure compliance and safeguard patient data. The ability to access centralized data quickly and securely supports enhanced patient care and operational efficiency within the healthcare sector.

Regionally, North America currently dominates the zero client market owing to its technological advancements and high adoption rates of virtualization solutions in enterprises. However, the Asia Pacific region is expected to show the highest growth rate over the forecast period. This growth is attributed to the rapid industrialization in countries like China and India, increasing government digitization initiatives, and a growing IT infrastructure. As these regions continue to develop their technological capabilities, the demand for cost-effective and secure computing solutions like zero clients is expected to surge.

Form Factor Analysis

The zero client market can be segmented based on form factor into standalone and integrated solutions. Standalone zero clients are self-contained units that connect directly to a server or virtual desktop infrastructure. They are preferred in environments where space is a constraint or where there's a need for a dedicated client device. Standalone zero clients offer several advantages, including ease of deployment, reduced energy consumption, and lower heat generation, making them ideal for spaces that require quiet, energy-efficient operations. These devices are often used in call centers, educational institutions, and other environments where multiple endpoints need to be managed centrally.

Integrated zero clients, on the other hand, are embedded into other devices such as monitors or other hardware. This integration offers a streamlined approach to deploying zero client technology, minimizing desk clutter and simplifying the overall setup. For organizations looking for all-in-one solutions that combine computing power with display capabilities, integrated zero clients provide an attractive option. They are particularly popular in industries like healthcare and financi

Sim-to-Real transfer has been invented and widely used. However

Comprehensive dataset of 0 Seafood processing companies in Hungary as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

question answering dataset

Records in 2019.

Comprehensive dataset of 0 Seafood processing companies in Denmark as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 0 Seafood processing companies in Thailand as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 0 Seafood processing companies in Indonesia as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 0 Seafood processing companies in Greece as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Brazil Exports: HS6: Vol: Fixed Capacitors Designed For Use in 50,60 Hz Circuits & Having A Reactive Power-Handling Capacity of >= 0,5 Kvar Power Capacitors data was reported at 25,929.000 kg in Dec 2024. This records a decrease from the previous number of 42,069.000 kg for Nov 2024. Brazil Exports: HS6: Vol: Fixed Capacitors Designed For Use in 50,60 Hz Circuits & Having A Reactive Power-Handling Capacity of >= 0,5 Kvar Power Capacitors data is updated monthly, averaging 55,816.000 kg from Jan 1997 (Median) to Dec 2024, with 336 observations. The data reached an all-time high of 472,852.000 kg in Apr 2013 and a record low of 2,002.000 kg in Apr 1998. Brazil Exports: HS6: Vol: Fixed Capacitors Designed For Use in 50,60 Hz Circuits & Having A Reactive Power-Handling Capacity of >= 0,5 Kvar Power Capacitors data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.HS: 6 Digits: Section 16: Exports: Volume.