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July 19, 2026

The Home app’s built-in internet speed test results might be lower than expected for internet connection speeds faster than 500 Mbps. This will be fixed in an upcoming software release. The speed test issue doesn’t impact actual system performance. If you have an internet connection with speeds faster than 500 Mbps, use an alternate speed test app from your phone or computer.
Sonatype Nexus Repository 3.74.0 Pro now supports highly available and resilient deployments in Google Cloud Platform (GCP). This new option leverages Google Kubernetes Engine (GKE) and offers automated failover and fault tolerance, protecting against outages and ensuring continuous uptime.
This solution is ideal for organizations already using GKE or seeking robust high availability within GCP. Detailed deployment instructions and a Helm chart are available. See our GCP resiliency and high availability help documentation for details.
Pro customers can now take advantage of native blob store support on GCP. This allows customers running Nexus Repository on GCP to seamlessly store and manage their build artifacts within Google Cloud Storage.
Nexus Repository 3.74.0 introduces streamlined license management for clustered deployments. Administrators can now install a new license through the UI or REST API on any single node in a clustered deployment, and Nexus Repository will update the entire cluster. Nexus Repository then caches the new license for 7 days so that newly started nodes can automatically compare their existing license with the cached one and self-update if necessary. This eliminates the need to manually update licenses on individual nodes.
You can now define a list of custom region names through a new capability, making them readily available in the region drop-down menu during blob store configuration. This enhancement simplifies the use of S3-compatible storage services across diverse environments and regions. See the blob store configuration help documentation for details.
This release enhances high-availability deployments with support for S3 failover buckets in alternate AWS regions. This feature ensures business continuity by automatically switching to a designated backup bucket if the primary region becomes unavailable. Upon startup, Nexus Repository selects the appropriate bucket based on its operating region.
It’s important to note that Nexus Repository will not automatically set up replication between your S3 buckets. To further strengthen data resilience and ensure your artifacts are synchronized across regions, you’ll need to configure bi-directional replication between your primary and failover buckets using the AWS console API. This should include all artifacts, deletions, and redeployments for a truly robust and fault-tolerant storage solution.
Secrets management for resilient and highly available deployments is now even simpler when you use an external secrets operator. This enhancement streamlines configuration compared to previous methods like secrets store CSI. This update provides a more user-friendly and efficient way to manage sensitive information in your Nexus Repository deployments.
Sonatype Nexus Repository now supports strict base version matching and expanded search criteria for the Conan format. You can now target specific Conan packages by using the baseVersion.strict field in your searches, ensuring you retrieve only the latest revision for a given base version.
Additionally, leverage detailed search fields derived from your conaninfo.txt settings, including architecture, compiler, operating system, and channel. This granular control allows for more efficient and accurate discovery of the Conan components you need.
To further streamline your workflow, recipe revisions are now displayed as subfolders in the UI, allowing you to easily browse and select the desired version. You can also directly access the latest revision and view CONAN_INFO attributes in a clear tabular format. For added convenience, recipe revisions are now sorted by date in the Browse UI.
If you set the –logging.level.com.sonatype=TRACE flag for the database migrator, it will now log the parameters being passed to SQL when there is a failure so that you can tell which asset/component is causing the issue.
Updated Policy-Compliant Component Selection a for npm “next” tag so that when filtering versions in component metadata, the next attribute is correctly updated and does not contain versions that no longer exist in the filtered metadata.
The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Objective: To conduct a systematic review and meta-analysis of cohort studies of body mass index (BMI) and the risk of all cause mortality, and to clarify the shape and the nadir of the dose-response curve, and the influence on the results of confounding from smoking, weight loss associated with disease, and preclinical disease.
Conclusion: Overweight and obesity is associated with increased risk of all cause mortality and the nadir of the curve was observed at BMI 23-24 among never smokers, 22-23 among healthy never smokers, and 20-22 with longer durations of follow-up. The increased risk of mortality observed in underweight people could at least partly be caused by residual confounding from prediagnostic disease. Lack of exclusion of ever smokers, people with prevalent and preclinical disease, and early follow-up could bias the results towards a more U shaped association.
NSS 3.74 shared libraries are backwards-compatible with all older NSS 3.x sharedlibraries. A program linked with older NSS 3.x shared libraries will work withthis new version of the shared libraries without recompiling orrelinking. Furthermore, applications that restrict their use of NSS APIs to thefunctions listed in NSS Public Functions will remain compatible with futureversions of the NSS shared libraries.
The HENlo exploit is only compatible with the firmware versions 3.65, 3.68, and 3.74. As a result, lower firmware versions must update to the latest firmware to use the exploit. Updating the firmware is also the easiest method of uninstalling any previous installation of CFW on a used system. cc7c31b456

Economics is a broad field that aims to understand why the world works as it does and how government and other interventions might affect well-being. The field is diverse methodologically, encompassing mathematical modeling, data science, and randomized trials as appropriate. It interacts both with other social sciences, as with political science and psychology in the attempt to better understand government and individual behavior, and with the sciences, as with statistics and computer science in developing data analysis techniques.
Economics studies decision-making at the individual level and the aggregate outcomes that result when individuals, firms, institutions and governments interact. It remains concerned with classic topics, such as the causes of business cycles, the effects of industry regulations, and the consequences of tax policies, but also focuses on the diverse social challenges of the developed and developing world: poverty, education, health, the environment, and inequality.
The department offers several undergraduate programs that prepare students for careers in business, finance, consulting, law and public policy, and for further study. Its doctoral program is frequently ranked as the best in the world.
The requirements allow substantial freedom for students in designing individual programs within economics and in balancing the program with subjects in other disciplines. The ample elective slots let students apply their technical skills to develop a deep understanding of whatever interests them, whether that is poverty in developing countries, international trade, game theory, for example. The department recommends that students interested in graduate work in economics build their technical skills with additional subjects in mathematics and computer science. Students can also complement their studies in the major with subjects in political science, history, and other social sciences.
The major is sufficiently flexible that students can transfer into the major or add it as a second major without having taken courses beyond 14.01 Principles of Microeconomics and 14.02 Principles of Macroeconomics in the first two years. Students typically complete an intermediate micro subject, 14.05 Intermediate Macroeconomics, 14.30 Introduction to Statistical Methods in Economics, and 14.32 Econometric Data Science by the third year. This satisfies the prerequisites for all subjects (including 14.33 Research and Communication in Economics: Topics, Methods, and Implementation) and prepares students for research on their thesis and in other elective subjects.
The SB in Mathematical Economics is designed for students who desire a deeper mathematical foundation and allows them to concentrate in a subset of economics topics. This program is well suited to students interested in mathematical microeconomic theory or econometrics. Students will gain the strong mathematical and theoretical preparation needed for subsequent graduate study in economics.
Students majoring in Mathematical Economics start with the same introductory micro and macro courses as 14-1 majors. They go on to take a program that includes rigorous mathematical training in microeconomic theory and econometrics, and substantial coursework in mathematics, including 18.100x Real Analysis, a choice between 18.06 Linear Algebra or 18.03 Differential Equations, and at least one mathematics seminar.
The Department of Electrical Engineering and Computer Science and the Department of Economics offer a joint curriculum leading to a Bachelor of Science in Computer Science, Economics and Data Science (Course 6-14). The interdisciplinary major provides students a portfolio of skills in economics, computing, and data science that are increasingly valued in both the business world and academia. The economics and computer science disciplines have a substantial overlap both in their reliance on game theory and mathematical modeling techniques and their use of data analytics. The economics side of the program includes subjects in microeconomic theory and econometrics and electives that expose students to how economists in various fields use mathematical models and statistical evidence to think about problems. The computer science side includes a number of subjects that develop complementary knowledge, including the study of algorithms, optimization, and machine learning (which is increasingly integrated with econometrics). The program also includes coursework in several mathematical subjects, including linear algebra, probability, discrete mathematics, and statistics, which can be taken in various departments.
The objective of the minor is to extend the understanding of economic issues beyond the level of the concentration. This is done through specialized analytical subjects and elective subjects that provide an extensive treatment of economic issues in particular areas.
Under no circumstances may a student complete a minor with fewer than six subjects. Any student who receives permission from the Economics Department to skip 14.01 and/or 14.02 in order to take a higher-level subject must take a replacement subject for each subject that is skipped.
The Department of Economics specifies the following prerequisites for graduate study in economics: one full year of college mathematics and an appreciable number of professional subjects in economics for those qualified students who have majored in fields other than economics. Applicants for admission who have deficiencies in entrance requirements should consult with the department about programs to remedy such deficits.
The Department of Electrical Engineering and Computer Science and the Department of Economics offer a joint curriculum leading to a Master of Engineering in Computer Science, Economics, and Data Science. Computer science and data science provide tools for problem solving, and economics applies those tools to domains where there is rapidly growing intellectual, scholarly, and commercial interest, such as online markets, crowdsourcing platforms, spectrum auctions, financial platforms, crypto currencies, and large-scale matching/allocation systems such as kidney donation and public school choice systems. This joint program prepares students for jobs in economics, management consulting, and finance. Students in the program are full members of both departments, with a single advisor chosen from EECS or Economics based on interests of the student as well as the advisor’s interest and expertise in the 6-14 area.
The Master’s of Engineering in Computer Science, Economics, and Data Science (Course 6-14P) builds on the foundation provided by the Bachelor of Science in Computer Science, Economics, and Data Science (Course 6-14) to provide both advanced classwork and master’s-level thesis work. The student selects (with departmental review and approval) 42 units of advanced graduate subjects, which include two subjects in economics and two subjects in electrical engineering and computer science. A further 24 units of electives are chosen from a restricted departmental list of math electives.
Programs leading to the five-year Master of Engineering degree or to the four-year Bachelor of Science degree can be arranged to be identical through the junior year. At the end of the junior year, students with a strong academic record will be offered the opportunity to continue through the five-year master’s program. A student in the Master of Engineering program must be registered as a graduate student for at least one regular (non-summer) term. To remain in the program and to receive the Master of Engineering degree, students will be expected to maintain a strong academic record. Admission to the Master of Engineering program is open only to undergraduate students who have completed their junior year in the Course 6-14 Bachelor of Science program.
The fifth year of study toward the Master of Engineering degree can be supported by a combination of personal funds, a fellowship, or a graduate assistantship. Assistantships require participation in research or teaching in the department or in one of the associated laboratories. Full-time assistants may register for no more than two scheduled classroom or laboratory subjects during the term, but may receive academic credit for their participation in the teaching or research program. Support through an assistantship may extend the period required to complete the Master of Engineering program by an additional term or two. Support is granted competitively to graduate students and will not be available for all of those admitted to the Master of Engineering program. If provided, department support for Master of Engineering candidates is normally limited to the first three terms as a graduate student unless the Master of Engineering thesis has been completed, the student has served as a teaching assistant, or the student has been admitted to the doctoral program, in which cases a fourth term of support may be permitted.
The Department of Economics offers a Doctor of Philosophy (PhD) in Economics. Students in the doctoral program complete a course of study involving a series of required core subjects in microeconomic theory, macroeconomics, and econometrics; coursework (with a grade of B or better) in two major and two minor fields of study from among those offered by the department; a research paper; and a thesis. The coursework and research paper, completed in the program’s first two years, culminate in a general examination. The four fields of study are chosen from advanced economic theory; computation and statistics (minor field only); econometrics; economic development; finance; industrial organization; international economics; labor economics; monetary economics; organizational economics; political economy; and public economics.
There is no required minimum number of graduate subjects in the department. Students must be in residence for a minimum of two years. However, candidates ordinarily need two full academic years of study to complete the core and field of study requirements, and the doctoral thesis typically requires three to four years of additional research effort.

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