There’s little more frustrating than having your smartphone run out of charge, not just in emergencies, but anytime. Here are some great items to keep your handheld device charged.
The newest iPhones and Androids have been announced. Whether you have the latest iPhone, a Samsung Galaxy Note 20, or just want to keep your smartphone battery at full capacity, chargers and alternatives are essential. Today’s chargers can fit in a pocket or purse, be solar-powered or wireless, or (the reliable standby) plug-in. Here’s a sampling of what’s available to keep you and your very-relied-upon smartphone charged up and always turned on.
It looks a little like a wireless charger, but this is a super convenient power bank with 10000 mAh, USB C one in/out plug and two outgoing plugs. The manufacturer says it can top up an iPhone8 3.6 times, and a SamsungS8 2.3 times.
It comes with a mesh bag, a charging cable (which feels substantial) and this queer wand-like plug-in thing that’s a flashlight that is so bright, it looks like it could replace a ring-light for evening YouTube video shoots. The very cute paw-shaped blue light reveals how much power remains before it needs to be recharged.
Even if you’re looking for a few charger alternatives, iPhone users should always make sure that one of these is in their arsenal.
This wireless charger boasts “no annoying current sound” with overcharge protection. The 10W Max comes with a QC3.0 and is compatible with iPhone 8 and above, as well as the Galaxy Note 10, Note10 Plus, S10, S9, S8 and others.
The company says the charger was built with “HyperAir technology” and can provide a full charge from 30 to 80 minutes faster than “ordinary wireless chargers.”
It’s two chargers in one! The AUKEY Wireless Power Bank with 18W PD offers both wireless and wired charging. It has 20,000 mAh, a digital readout of the remaining charge, as well as a built-in kickstand. Although it comes with a USB-A to USB-C cable, an adapter is separate.
The Nekteck 45W USB Type C Car Charger is compatible with USB type C, but not micro USBs, although, Necteck said it features a 45W power delivery and 12W USB-A port for iPhone, iPad, MacBook Pro and Air, Galaxy S9/S8, Google Pixel 3XL, among others, and comes with a 3.3-ft USB-C cable. Nekteck said users can plug in “without fail” no matter how the user is holding or inserting the cable.
Nekteck warns this charger is not ideal for Samsung Note10/S10+ PPS devices.
The Apple 20W USB‑C Power Adapter is another must-have for iOS users. This plug-in charges your iPhone at home or the office and is compatible with all USB-C-enabled device. It works best, suggests Apple, when paired with an iPad Pro and iPad Air for optimal charging performance. The fast-charging feature also works with iPhones from the iPhone 8 to the current phones. Charging cables are sold separately.
A bargain at $14, most people can afford putting one in popular rooms throughout the house: Home office, bedroom, bathroom, dining room, kitchen, garage, or even the entry way. This AUKEY charger is compact and features a foldable plug. The white version sells for $0.50 more, inexplicably. Could it be because it more closely resembles an iPhone plug-in charger?
If the nearly 20K reviews (4.5 stars) the Anker PowerCore 5000 Portable Charger has on Amazon, are to be believed, this ultra-compact (10cm tall and 3cm wide), tubular battery may be just the thing if you’re looking to slip it into your pocket or purse. It contains 5000 mAh of power and, Anker notes, is equipped with the proprietary “PowerIQ technology” for “the fastest possible charge to any phone or tablet (up to 2A).” It does not support Qualcomm Quick Charge. In addition to the PowerCore 5000, it includes a travel pouch, a micro-USB cable, a guide, and an 18-month warranty. USB-C cable and Lightning cable for iPhone and iPad sold separately. Blue, white and red versions are $30, the black version is $20
The Anker 30W PowerPort Atom III Slim USB-C Charger is pocket ready–or, at the very least, front shirt pocket or back pants pocket ready. Anker says it’s the companies most slim charger, at 0.63 inches, and that it offers full-speed charging for a MacBook 12 (250% faster than the iPhone XS Max stock charger, 100% faster than the Samsung S10 stock charger, and 150% faster than the iPad Pro 11″ stock charger). It will work with cables for USB-C to lightning, as well as USB-C to C cable and claims a “cooler operation.”
This is a very good (and cool) idea–a wall charger that doubles as a power bank and now comes with USB-A and USB-C ports, with up to 18 watts of power. Since it has a dual function, it is heavier than a traditional wall plug-in or portable charger, and you’ll have to watch that the weight of it may pull downwards, severing its connection or slowing down its charging considerably. Anker claims it will recharge devices to 100% in two hours and 40 minutes.
Available in black, orange, and red, the Hiluckey Solar Portable Power Bank has 25000mAH, dual USB ports, and is waterproof. It’s designed with a high-efficiency Li-polymer battery and Hiluckey said it can charge most smartphones eight to 10 times, and tablets up to three to four times. It has four solar panels up to 1A input with recharge under direct sunlight, four to five times faster than most other solar chargers, according to the manufacturer. It features two USB outputs to charge two devices simultaneously and comes with a micro USB cable too.
These Microsoft Azure tools can help you unlock the secrets lurking in your business data
How to develop business insights from big data using Microsoft’s Azure Synapse and Azure Data Lakes technologies.
Data lakes are an important part of a modern data analysis environment. Instead of importing all your different data sources into one data warehouse, with the complex task of building import pipelines for relational, non-relational and other data, and of trying to normalise all that data against your choice of keys, you wrap all your data in a single storage environment. On top of that storage pool, you can start to use a new generation of query tools to explore and analyse that data, working with what could be petabytes of data in real time.
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Using data this way makes it easier to work with rapidly changing data, getting insights quickly and building reporting environments that can flag up issues as they arise. By wrapping data in one environment, you can take advantage of common access control mechanisms, applying role-based authentication and authorisation, ensuring that the right person gets access to the right data, without leaking it to the outside world.
Working at scale with Azure Data Lake
Using tools like Azure Active Directory and Azure Data Lake, you can significantly reduce the risk of a breach as it taps into the Microsoft Security Graph, identifying common attack patterns quickly.
Once your data is in an Auzre Data Lake store, then you can start to run your choice of analytics tooling over it, using tools like Azure Databricks, the open-source HDInsight, or Azure’s Synapse Analytics. Working in the cloud makes sense here, as you can take advantage of large-scale Azure VM instances to build in-memory models as well as taking advantage of scalable storage to build elastic storage pools for your data lake contents.
Microsoft recently released a second generation of Data Lake Storage, building on Azure Blobs to add disaster recovery and tiered storage to help you manage and optimise your storage costs. Azure Data Lake Storage is designed to work with gigabits of data throughput. A hierarchical namespace makes working with data easier, using directories to manage your data. And as you’re still using a data lake with many different types of data, there’s still no need for expensive and slow ETL-based transformations.
Analysing data in Azure Synapse
Normally you need separate analytics tooling for different types of data. If you’re building tooling to work with your own data lake, you’re often bringing together data-warehousing applications alongside big data tools, resulting in complex and often convoluted query pipelines that can be hard to document and debug. Any change in the underlying data model can be catastrophic, thanks to fragile custom analysis environments.
Azure now offers an alternative, hybrid analytical environment in the shape of Azure Synapse Analytics, which brings together big data tooling and relational queries in a single environment by mixing SQL with Apache Spark and providing direct connections to Azure data services and to the Power Platform. It’s a combination that allows you to work at global scale while still supporting end-user visualisations and reports, and at the same time providing a platform that supports machine-learning techniques to add support for predictive analytics.
At its heart, Synapse removes the usual barriers between standard SQL queries and big data platforms, using common metadata to work with both its own SQL dialect and Apache Spark on the same data sets, either relational tables or other stores, including CSV and JSON. It has its own import tooling that will import data into and out of data lakes, with a web-based development environment for building and exploring analytical models that go straight from data to visualisations.
Synapse creates a data lake as part of its setup, by default using a second-generation BLOB-based instance. This hosts your data containers, in a hierarchical virtual file system. Once the data lake and associated Synapse workspace are in place, you can use the Azure Portal to open the Synapse Studio web-based development environment.
Building analytical queries in Synapse Studio
Synapse Studio is the heart of Azure Synapse Analytics, where data engineers can build and test models before deploying them in production. SQL pools manage connections to your data, using either serverless or dedicated connections. While developing models, it’s best to use the built-in serverless pool; once you’re ready to go live you can provision a dedicated pool of SQL resources that can be scaled up and down as needed. However, it’s important to remember that you’re paying for those resources even if they’re not in use. You can also set up serverless pools for Apache Spark, helping keep costs to a minimum for hybrid queries. There is some overhead when launching serverless instances, but for building reports as a batch process, that shouldn’t be an issue.
Azure Synapse is fast: building a two-million row table takes just seconds. You can quickly work with any tabular data using familiar SQL queries, using the Studio UI to display results as charts where necessary. That same data can be loaded from your SQL store into Spark, without writing any ETL code for data conversion. All you need to do is create a new Spark notebook, and then create the database and import it from your SQL pool. Data from Spark can be passed back to the SQL pool; allowing you to use Spark to manipulate data sets for further analysis. You can use SQL queries on Spark datasets directly, simplifying what could otherwise be complex programming tasks unifying results from different platforms.
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One useful feature of Azure Data Lakes using Gen 2 storage is the ability to link to other storage accounts, allowing you to quickly work with other data sources without having to import them into your data lake store. Using Azure Synapse Studio, your queries are stored in notebooks. These notebooks can be added to pipelines to automate analysis. You can set triggers to run an analysis at set intervals, driving Power BI-based dashboards and reports.
There’s a lot to explore with Synapse Studio, and to get the most from it requires plenty of data-engineering experience. It’s not a tool for beginners or for end users: you need to be experienced in both SQL-based data-warehousing techniques and in tools like Apache Spark. However, it’s the combination of those tools and the ability to publish results in desktop analytical tools like Power BI that makes it most useful.
The cost of at-scale data lake analysis will always make it impossible to bring to everyone. But using a single environment to create and share analyses should go a long way towards unlocking the utility of business data.
Moonshots for the Treatment of Aging: Less Incrementalism, More Ambition
There is far too much incrementalism in the present research and development of therapies to treat aging. Much of the field is engaged in mimicking calorie restriction or repurposing existing drugs that were found to increase mouse life span by a few percentage points. This will not meaningfully change the shape of human life, but nonetheless costs just as much as efforts to achieve far more.
If billions of dollars and the efforts of thousands of researchers are to be devoted to initiatives to treat aging, then why not pursue the ambitious goal of rejuvenation and adding decades to healthy life spans? It is just as plausible.
There are just as many starting points and plausible research programs aimed at outright rejuvenation via repair of molecular damage, such as those listed in the SENS approach to aging, as there are aimed at achieving only small benefits in an aged metabolism. The heavy focus on incremental, low yield programs of research and development in the present community is frustrating, and that frustration is felt by many.
As the global population ages, there is increased interest in living longer and improving one’s quality of life in later years. However, studying aging – the decline in body function – is expensive and time-consuming. And despite research success to make model organisms live longer, there still aren’t really any feasible solutions for delaying aging in humans. With space travel, scientists and engineers couldn’t know what it would take to get to the moon. They had to extrapolate from theory and shorter-range tests. Perhaps with aging, we need a similar moonshot philosophy. Like the moon once was, we seem a long way away from provable therapies to increase human healthspan or lifespan. This review therefore focuses on radical proposals. We hope it might stimulate discussion on what we might consider doing significantly differently than ongoing aging research.
A less than encouraging sign for many of the lifespan experiments done in preclinical models, namely in mammals such as mice, is that they have modest effect sizes, often only having statistically significant effects in one of the genders, and often only in specific dietary or housing conditions. Even inhibiting one of the most potent and well-validated aging pathways, the mechanistic target of rapamycin (mTOR) pathway has arguably modest effects on lifespan – a 12-24% increase in mice. This is all to ask, if the mTOR inhibitor rapamycin is one of the potential best-case scenarios and might be predicted to have a modest effect if any (and possibly a detrimental one) in people, should it continue to receive so much focus by the aging community? Note the problems in the aging field with small and inconsistent effects for the leading strategies aren’t specific to rapamycin.
Treating individual aging-related diseases has encountered roadblocks that should also call into question whether we are on the optimal path for human aging. Alzheimer’s is a particularly well-funded and well-researched aging-related topic where there are still huge gaps in our understanding and lack of good treatment options. There has been considerable focus on amyloid beta and tau, but targeting those molecules hasn’t done much for Alzheimer’s so far, leaving many searching for answers. The point is when we spend collectively a long time on something that isn’t working well, such as manipulating a single gene or biological process, it should seem natural to consider conceptually different approaches.
Source: Fight Aging!
Signal Back Up: Users May See Some Errors, Company Says Will Be Fixed in Next Update
Signal said it had restored its services a day after the application faced technical difficulties as it dealt with a flood of new users after rival messaging app WhatsApp announced a controversial change in privacy terms.
Signal users might see errors in some chats as a side effect to the outage, but will be resolved in the next update of the app, the company said in a tweet.
As an unfortunate side effect of this outage, users might see errors in some of their chats. This does not affect your chat’s security, but you may have missed a message from that contact. The next Signal app updates will fix this automatically. Here’s what you can do now…
— Signal (@signalapp) January 17, 2021
The error does not affect the security of the chat, the company added.
The non-profit Signal Foundation based in Silicon Valley, which currently oversees the app, was launched in February 2018 with Brian Acton, who co-founded WhatsApp before selling it to Facebook, providing initial funding of $50 million (roughly Rs. 365 crores).
Signal faced a global outage that began on January 15. Although users could open the app and send messages, nothing was actually delivered.
Signal later sent Gadgets 360 a message with the following statement from its COO Aruna Harder: “We have been adding new servers and extra capacity at a record pace every single day this week, but today exceeded even our most optimistic projections. Millions upon millions of new users are sending a message that privacy matters, and we are working hard to restore service for them as quickly as possible.”
© Thomson Reuters 2021
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