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Tech - How To Information. TheINQUIRER publishes daily news, reviews on the latest gadgets and devices, and INQdepth articles for tech buffs and hobbyists. ![]() Itanium - Wikipedia. For more details on the technical architecture, not chip implementations, see IA- 6. Itanium (eye- TAY- nee- əm) is a family of 6. Intelmicroprocessors that implement the Intel Itanium architecture (formerly called IA- 6. Intel markets the processors for enterprise servers and high- performance computing systems. The Itanium architecture originated at Hewlett- Packard (HP), and was later jointly developed by HP and Intel. Itanium (/ aɪ ˈ t eɪ n i ə m / eye-TAY-nee-əm) is a family of 64-bit Intel microprocessors that implement the Intel Itanium architecture (formerly called IA-64).Click on the following links for the driver package readme info./extract/Readme.txt This package supports the following driver models:Intel Play QX3. Intel Corp. stock price, stock quotes and financial overviews from MarketWatch. Great Windows software for all your needs: Antiviruses (Avast Free Antivirus), Web browsers (Google Chrome), Cloud storages (Dropbox), E-mail (Microsoft Office. Z87-A boosts your Intel® Z87 performance using precise digital power delivery and also features convenient PC remote control. From Intel: This download contains the latest driver set for the Intel740 Graphics Accelerator, operating under Windows 95/98. This release resolves DX6.1 missing. Find support information, product highlights, featured content, downloads, and more for Intel® Graphics Drivers. Access resources for Intel® HD Graphics including a list of supported embedded platforms, products, drivers, and operating systems. Itanium- based systems have been produced by HP (the HP Integrity Servers line) and several other manufacturers. In 2. 00. 8, Itanium was the fourth- most deployed microprocessor architecture for enterprise- class systems, behind x. Power Architecture, and SPARC.[1][needs update]In February 2. Intel began releasing the current generation, Kittson, to test customers; in May 2. Intel has announced that it is the last processor, with no successor developed.[3][4]History[edit]. Itanium Server Sales forecast history[5][6]Development: 1. In 1. 98. 9, HP determined that Reduced Instruction Set Computing (RISC) architectures were approaching a processing limit at one instruction per cycle. HP researchers investigated a new architecture, later named Explicitly Parallel Instruction Computing (EPIC), that allows the processor to execute multiple instructions in each clock cycle. EPIC implements a form of very long instruction word (VLIW) architecture, in which a single instruction word contains multiple instructions. With EPIC, the compiler determines in advance which instructions can be executed at the same time, so the microprocessor simply executes the instructions and does not need elaborate mechanisms to determine which instructions to execute in parallel.[7] The goal of this approach is twofold: to enable deeper inspection of the code at compile time to identify additional opportunities for parallel execution, and to simplify processor design and reduce energy consumption by eliminating the need for runtime scheduling circuitry. HP believed that it was no longer cost- effective for individual enterprise systems companies such as itself to develop proprietary microprocessors, so it partnered with Intel in 1. IA- 6. 4 architecture, derived from EPIC. Intel was willing to undertake a very large development effort on IA- 6. HP and Intel initiated a large joint development effort with a goal of delivering the first product, Merced, in 1. During development, Intel, HP, and industry analysts predicted that IA- 6. RISC and complex instruction set computing (CISC) architectures for all general- purpose applications.[8][9]Compaq and Silicon Graphics decided to abandon further development of the Alpha and MIPS architectures respectively in favor of migrating to IA- 6. Several groups developed operating systems for the architecture, including Microsoft Windows, Open. VMS, Linux, and UNIX variants such as HP- UX, Solaris,[1. Tru. 64 UNIX,[1. 0] and Monterey/6. By 1. 99. 7, it was apparent that the IA- 6. Merced began slipping.[1. Technical difficulties included the very high transistor counts needed to support the wide instruction words and the large caches.[citation needed] There were also structural problems within the project, as the two parts of the joint team used different methodologies and had slightly different priorities.[citation needed] Since Merced was the first EPIC processor, the development effort encountered more unanticipated problems than the team was accustomed to. In addition, the EPIC concept depends on compiler capabilities that had never been implemented before, so more research was needed.[citation needed]Intel announced the official name of the processor, Itanium, on October 4, 1. Within hours, the name Itanic had been coined on a Usenet newsgroup, a reference to Titanic, the "unsinkable" ocean liner that sank in 1. Itanic" has since often been used by The Register,[1. Itanium—and the early hype associated with it—would be followed by its relatively quick demise. Itanium (Merced): 2. Itanium (Merced)Itanium processor. Produced. From June 2. June 2. 00. 2Common manufacturer(s)Max. CPUclock rate. 73. MHz to 8. 00 MHz. FSB speeds. 26. 6 MT/s. Instruction set. Itanium. Cores. 1L2 cache. KBL3 cache. 2 or 4 MBSocket(s)Core name(s)By the time Itanium was released in June 2. RISC and CISC processors.[2. Itanium competed at the low- end (primarily four- CPU and smaller systems) with servers based on x. IBM's. POWER architecture and Sun Microsystems' SPARC architecture. Intel repositioned Itanium to focus on high- end business and HPC computing, attempting to duplicate x. The success of this initial processor version was limited to replacing PA- RISC in HP systems, Alpha in Compaq systems and MIPS in SGI systems, though IBM also delivered a supercomputer based on this processor.[2. POWER and SPARC remained strong, while the 3. Only a few thousand systems using the original Merced Itanium processor were sold, due to relatively poor performance, high cost and limited software availability.[2. Recognizing that the lack of software could be a serious problem for the future, Intel made thousands of these early systems available to independent software vendors (ISVs) to stimulate development. HP and Intel brought the next- generation Itanium 2 processor to market a year later. Itanium 2: 2. 00. Itanium 2 (Mc. Kinley)Itanium 2 processor. Produced. From 2. Designed by. Intel. Common manufacturer(s)Max. CPUclock rate. 90. MHz to 2. 5. 3 GHz. Instruction set. Itanium. Cores. 1, 2, 4 or 8. L2 cache. 25. 6 KB on Itanium. KB (D) + 1 MB(I) or 5. KB (I) on (Itanium. L3 cache. 1. 5- 3. MBSocket(s)Core name(s)Mc. Kinley. Madison. Hondo. Deerfield. Montecito. Montvale. Tukwila. Poulson. Intel Itanium 2 9. The Itanium 2 processor was released in 2. The first Itanium 2, code- named Mc. Kinley, was jointly developed by HP and Intel. It relieved many of the performance problems of the original Itanium processor, which were mostly caused by an inefficient memory subsystem. Mc. Kinley contains 2. CMOS process with six layers of aluminium metallization.[2. In 2. 00. 3, AMD released the Opteron, which implements its own 6. AMD6. 4). Opteron gained rapid acceptance in the enterprise server space because it provided an easy upgrade from x. Intel responded by implementing x. Xeon microprocessors in 2. Intel released a new Itanium 2 family member, codenamed Madison, in 2. Madison uses a 1. Itanium processors until Montecito was released in June 2. In March 2. 00. 5, Intel announced that it was working on a new Itanium processor, codenamed Tukwila, to be released in 2. Tukwila would have four processor cores and would replace the Itanium bus with a new Common System Interface, which would also be used by a new Xeon processor.[2. Later that year, Intel revised Tukwila's delivery date to late 2. In November 2. 00. Itanium server manufacturers joined with Intel and a number of software vendors to form the Itanium Solutions Alliance to promote the architecture and accelerate software porting.[2. The Alliance announced that its members would invest $1. Itanium solutions by the end of the decade.[2. In 2. 00. 6, Intel delivered Montecito (marketed as the Itanium 2 9. Intel released the Itanium 2 9. Montvale, in November 2. In May 2. 00. 9, the schedule for Tukwila, its follow- on, was revised again, with release to OEMs planned for the first quarter of 2. Itanium 9. 30. 0 (Tukwila): 2. Intel Itanium 9. 30. CPU LGA. Intel Itanium 9. Socket Intel LGA 1. Intel Itanium 9. 30. The Itanium 9. 30. Tukwila, was released on February 8, 2. The device uses a 6. MB on- die caches, Hyper- Threading technology and integrated memory controllers. It implements double- device data correction, which helps to fix memory errors. 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In the most basic sense, drug design involves the design of molecules that are complementary in shape and charge to the biomolecular target with which they interact and therefore will bind to it. Drug design frequently but not necessarily relies on computer modeling techniques.[2] This type of modeling is sometimes referred to as computer- aided drug design. Finally, drug design that relies on the knowledge of the three- dimensional structure of the biomolecular target is known as structure- based drug design.[2] In addition to small molecules, biopharmaceuticals and especially therapeutic antibodies are an increasingly important class of drugs and computational methods for improving the affinity, selectivity, and stability of these protein- based therapeutics have also been developed.[3]The phrase "drug design" is to some extent a misnomer. A more accurate term is ligand design (i. Drug design, often referred to as rational drug design or simply rational design, is the inventive process of finding new medications based on the knowledge of a. Although design techniques for prediction of binding affinity are reasonably successful, there are many other properties, such as bioavailability, metabolic half- life, side effects, etc., that first must be optimized before a ligand can become a safe and efficacious drug. These other characteristics are often difficult to predict with rational design techniques. Nevertheless, due to high attrition rates, especially during clinical phases of drug development, more attention is being focused early in the drug design process on selecting candidate drugs whose physicochemical properties are predicted to result in fewer complications during development and hence more likely to lead to an approved, marketed drug.[5] Furthermore, in vitro experiments complemented with computation methods are increasingly used in early drug discovery to select compounds with more favorable ADME (absorption, distribution, metabolism, and excretion) and toxicological profiles.[6]Drug targets[edit]A biomolecular target (most commonly a protein or nucleic acid) is a key molecule involved in a particular metabolic or signaling pathway that is associated with a specific disease condition or pathology or to the infectivity or survival of a microbialpathogen. Potential drug targets are not necessarily disease causing but must by definition be disease modifying.[7] In some cases, small molecules will be designed to enhance or inhibit the target function in the specific disease modifying pathway. Small molecules (for example receptor agonists, antagonists, inverse agonists, or modulators; enzyme activators or inhibitors; or ion channel openers or blockers)[8] will be designed that are complementary to the binding site of target.[9] Small molecules (drugs) can be designed so as not to affect any other important "off- target" molecules (often referred to as antitargets) since drug interactions with off- target molecules may lead to undesirable side effects.[1. Due to similarities in binding sites, closely related targets identified through sequence homology have the highest chance of cross reactivity and hence highest side effect potential. Most commonly, drugs are organicsmall molecules produced through chemical synthesis, but biopolymer- based drugs (also known as biopharmaceuticals) produced through biological processes are becoming increasingly more common.[1. In addition, m. RNA- based gene silencing technologies may have therapeutic applications.[1. Rational drug discovery[edit]In contrast to traditional methods of drug discovery (known as forward pharmacology), which rely on trial- and- error testing of chemical substances on cultured cells or animals, and matching the apparent effects to treatments, rational drug design (also called reverse pharmacology) begins with a hypothesis that modulation of a specific biological target may have therapeutic value. In order for a biomolecule to be selected as a drug target, two essential pieces of information are required. Current progress in a second generation claudin binder anti claudin antibody for clinical applications. Here, the authors overview recent advances in the creation of. · Keywords: ADME, computer-aided drug design, docking, free energy, high-throughput screening, LBDD, lead optimization, machine learning, pharmacophore, QSAR. This volume offers a broad and interdisciplinary view of modern approaches to drug discovery as used by pharmaceutical companies and research institutes. ![]() ![]() The first is evidence that modulation of the target will be disease modifying. This knowledge may come from, for example, disease linkage studies that show an association between mutations in the biological target and certain disease states.[1. The second is that the target is "druggable". This means that it is capable of binding to a small molecule and that its activity can be modulated by the small molecule.[1. Once a suitable target has been identified, the target is normally cloned and produced and purified. The purified protein is then used to establish a screening assay. In addition, the three- dimensional structure of the target may be determined. The search for small molecules that bind to the target is begun by screening libraries of potential drug compounds. This may be done by using the screening assay (a "wet screen"). In addition, if the structure of the target is available, a virtual screen may be performed of candidate drugs. Ideally the candidate drug compounds should be "drug- like", that is they should possess properties that are predicted to lead to oral bioavailability, adequate chemical and metabolic stability, and minimal toxic effects.[1. Several methods are available to estimate druglikeness such as Lipinski's Rule of Five and a range of scoring methods such as lipophilic efficiency.[1. Several methods for predicting drug metabolism have also been proposed in the scientific literature.[1. Finding new scaffolds of JAK3 inhibitors in public database: 3D-QSAR models & shape-based screening.Due to the large number of drug properties that must be simultaneously optimized during the design process, multi- objective optimization techniques are sometimes employed.[1. Finally because of the limitations in the current methods for prediction of activity, drug design is still very much reliant on serendipity[1. Computer- aided drug design [edit]The most fundamental goal in drug design is to predict whether a given molecule will bind to a target and if so how strongly. Molecular mechanics or molecular dynamics is most often used to estimate the strength of the intermolecular interaction between the small molecule and its biological target. These methods are also used to predict the conformation of the small molecule and to model conformational changes in the target that may occur when the small molecule binds to it. Semi- empirical, ab initio quantum chemistry methods, or density functional theory are often used to provide optimized parameters for the molecular mechanics calculations and also provide an estimate of the electronic properties (electrostatic potential, polarizability, etc.) of the drug candidate that will influence binding affinity.[2. Molecular mechanics methods may also be used to provide semi- quantitative prediction of the binding affinity. Also, knowledge- based scoring function may be used to provide binding affinity estimates. These methods use linear regression, machine learning, neural nets or other statistical techniques to derive predictive binding affinity equations by fitting experimental affinities to computationally derived interaction energies between the small molecule and the target.[2. Ideally, the computational method will be able to predict affinity before a compound is synthesized and hence in theory only one compound needs to be synthesized, saving enormous time and cost. The reality is that present computational methods are imperfect and provide, at best, only qualitatively accurate estimates of affinity. In practice it still takes several iterations of design, synthesis, and testing before an optimal drug is discovered. Computational methods have accelerated discovery by reducing the number of iterations required and have often provided novel structures.[2. Software and resources for computational medicinal chemistry. Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Frederick, MD 2. USAThe publisher's final edited version of this article is available at Future Med Chem. See other articles in PMC that cite the published article. Abstract. Computer- aided drug design plays a vital role in drug discovery and development and has become an indispensable tool in the pharmaceutical industry. Computational medicinal chemists can take advantage of all kinds of software and resources in the computer- aided drug design field for the purposes of discovering and optimizing biologically active compounds. This article reviews software and other resources related to computer- aided drug design approaches, putting particular emphasis on structure- based drug design, ligand- based drug design, chemical databases and chemoinformatics tools. Drug discovery and development is a very costly and time- consuming process in which every available discipline, including computer- aided drug design (CADD), is utilized in order to achieve the desired results. CADD provides valuable insights into experimental findings and mechanism of action, new suggestions for molecular structures to synthesize, and can help make cost- effective decisions before expensive synthesis is started. Numerous compounds that were discovered and/or optimized using CADD methods have reached the level of clinical studies or have even gained US FDA approval [1,2]. Many CADD techniques are used at various stages of a drug- discovery project, and one cannot designate a single ‘best’ computational drug- design technique in general. Hence, computational medicinal chemists should be aware of and willing to take advantage of all kinds of software and resources related to CADD during their routine work, although individually they may focus on, and subsequently become an expert in, the use of just one or a few specific techniques. Ligands (be they inhibitors, activators, agonists, antagonists or substrate analogs) can be identified using conventional hit- identifying methods such as high- throughput screening (HTS) assays or employing various CADD techniques. Because of their respective strengths and weaknesses for drug discovery, HTS and CADD techniques are often seen as complementary to each other [3]. HTS has been used in combination with, or substituted by, CADD techniques, the latter being generally faster, more economical and easier to set up than HTS. In addition, by using CADD techniques, one can attempt to optimize ligands to imbue them with high- binding affinity and good selectivity, as well as acceptable pharmacokinetic properties, the latter not usually being within the scope of HTS. Many of the techniques used in CADD are usually cheaper and faster than most of the experimental assaying methods, therefore large databases of compounds are often tested in silico before they – or, better, subsets of them – are submitted to in vitro testing. Nowadays, drug- design projects often start with hundreds of thousands or even millions of compounds, be they large corporate repositories, catalogs of commercially available screening samples or large virtual libraries. In such a scenario, one of the most valuable tools is so- called virtual screening (VS, also called in silico screening), which is the computational search for molecules with desired biological activities in large computer databases of small molecules that do not even have to physically exist [4]. Depending on the information obtainable at the beginning of the screening campaign about the target and/or existing ligands, VS can be divided into structure- based VS (SBVS) and ligand- based VS (LBVS). In the former, the 3. D structure of a target is utilized; in the latter, established ligands of a known target are taken into account. Advances in parallel hardware and algorithms have enabled even large- scale VS runs to be completed in a reasonable time period. As the number of protein structures of interest to drug discovery has significantly increased, the distinction between ‘structure- based’ and ‘ligand- based’ drug- design methods has become blurred. The judicious use of conventional ligand- based methods, such as 3. D pharmacophore searches, can greatly improve the efficiency and effectiveness of structure- based drug design (SBDD) [5]. Ligand- based search can act as the first stage in an SBVS workflow. In addition, to open more opportunities for hit identification/optimization for a target of interest, it is very common to employ many different design methods, including both SBVS and LBVS (see HIV- 1 integrase as an example [6]). Generally, molecular modeling techniques for drug design and discovery include not only VS methods, but also various other kinds of techniques summarized in Table 1. A large number of molecular modeling programs have been developed over the past three decades, implementing these techniques in both commercial and free software tools. Some of them are widely used in the pharmaceutical and biological industry as well as in academia and in government research laboratories. The extensive applications of these software tools and other resources, such as chemical databases, have made CADD a valuable asset in drug discovery and development. Computer- aided techniques used in drug design and discovery. The intention of this review is to present the readers with a broad overview of the software and resources commonly used in CADD. Given that it is an impossible task to provide all technical details of the background and applications of these software tools and resources, the reader is encouraged to go back to the referenced literature for additional information. Because of their importance in CADD, this review particularly focuses on SBDD, ligand- based drug design, chemical databases and chemoinformatics tools. Comprehensive drug- design software packages. In 1. 97. 9, a company named Tripos was established in St Louis, Missouri, USA. Tripos was the first company to deliver software for scientific computational drug discovery to the pharmaceutical industry. In the intervening three decades, numerous drug- design and simulation- software companies have come (and some gone). Most often they integrate different programs into comprehensive packages, although the individual programs of a package may require separate license keys to be purchased individually. Table 2 lists the most relevant, currently available drug- design packages and their included modules. Generally, a comprehensive drug- design package has a single, easy- to- use client interface (see Figure 1 for examples), from which the user can manipulate and build their models, manage jobs, and visualize and analyze results. The graphical interfaces of three drug- design packages. Commercial software packages for drug design. Among these drug- design packages, Discovery Studio, MOE, the Schrödinger package and SYBYL are those with the most comprehensive tool set. Each of them supplies modules/programs for almost all kinds of CADD techniques listed in Table 1. Besides this, they also provide different assistant tools, workflows and scripting languages to help the users efficiently employing these packages or automate the drug- design procedures. Other packages are more specialized, that is, they focus on a few particular CADD techniques. The commercialization of these drug- design packages and their wide adoption by pharmaceutical industry as well as academia has, on the one hand, spurred the continued development of computational medicinal chemistry, and, on the other hand, supported the growth of these software packages themselves. Chemistry on the computer has become easier than before: designing and optimizing new drug candidates can be accomplished faster and more economically by efficiently employing one or more of these versatile drug- design packages. Song of Myself. Won't you help support Day. Poems? 1. 81. 9- 1. Tabtight professional, free when you need it, VPN service. 1 I celebrate myself, and sing myself, And what I assume you shall assume, For every atom belonging to me as good belongs to you. I loafe and invite my soul.
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Stout as a horse, affectionate, haughty, electrical. I and this mystery here we stand. Clear and sweet is my soul, and clear and sweet is all that is not my soul. Lack one lacks both, and the unseen is proved by the seen. Till that becomes unseen and receives proof in its turn. Showing the best and dividing it from the worst age vexes age. Knowing the perfect fitness and equanimity of things, while they. I am silent, and go bathe and admire myself. Welcome is every organ and attribute of me, and of any man hearty and clean. Not an inch nor a particle of an inch is vile, and none shall be. I am satisfied- -I see, dance, laugh, sing. As the hugging and loving bed- fellow sleeps at my side through the night. Leaving me baskets cover'd with white towels swelling the house with. Shall I postpone my acceptation and realization and scream at my eyes. That they turn from gazing after and down the road. And forthwith cipher and show me to a cent. Exactly the value of one and exactly the value of two, and which is ahead? Trippers and askers surround me. People I meet, the effect upon me of my early life or the ward and. I live in, or the nation. The latest dates, discoveries, inventions, societies, authors old and new. My dinner, dress, associates, looks, compliments, dues. The real or fancied indifference of some man or woman I love. The sickness of one of my folks or of myself, or ill- doing or loss. Battles, the horrors of fratricidal war, the fever of doubtful news. These come to me days and nights and go from me again. But they are not the Me myself. Apart from the pulling and hauling stands what I am. Stands amused, complacent, compassionating, idle, unitary. Looks down, is erect, or bends an arm on an impalpable certain rest. Looking with side- curved head curious what will come next. Both in and out of the game and watching and wondering at it. Backward I see in my own days where I sweated through fog with. I have no mockings or arguments, I witness and wait. I believe in you my soul, the other I am must not abase itself to you. And you must not be abased to the other. Loafe with me on the grass, loose the stop from your throat. Not words, not music or rhyme I want, not custom or lecture, not. Only the lull I like, the hum of your valved voice. I mind how once we lay such a transparent summer morning. How you settled your head athwart my hips and gently turn'd over upon me. And parted the shirt from my bosom- bone, and plunged your tongue. And reach'd till you felt my beard, and reach'd till you held my feet. Swiftly arose and spread around me the peace and knowledge that pass. And I know that the hand of God is the promise of my own. And I know that the spirit of God is the brother of my own. And that all the men ever born are also my brothers, and the women. And that a kelson of the creation is love. And limitless are leaves stiff or drooping in the fields. And brown ants in the little wells beneath them. And mossy scabs of the worm fence, heap'd stones, elder, mullein and. A child said What is the grass? How could I answer the child? I do not know what it is any more than he. I guess it must be the flag of my disposition, out of hopeful green. Or I guess it is the handkerchief of the Lord. A scented gift and remembrancer designedly dropt. Bearing the owner's name someway in the corners, that we may see. Whose? Or I guess the grass is itself a child, the produced babe of the vegetation. Or I guess it is a uniform hieroglyphic. And it means, Sprouting alike in broad zones and narrow zones. Growing among black folks as among white. Kanuck, Tuckahoe, Congressman, Cuff, I give them the same, I. And now it seems to me the beautiful uncut hair of graves. Tenderly will I use you curling grass. It may be you transpire from the breasts of young men. It may be if I had known them I would have loved them. It may be you are from old people, or from offspring taken soon out. And here you are the mothers' laps. This grass is very dark to be from the white heads of old mothers. Darker than the colorless beards of old men. Dark to come from under the faint red roofs of mouths. O I perceive after all so many uttering tongues. And I perceive they do not come from the roofs of mouths for nothing. I wish I could translate the hints about the dead young men and women. And the hints about old men and mothers, and the offspring taken. What do you think has become of the young and old men? And what do you think has become of the women and children? They are alive and well somewhere. The smallest sprout shows there is really no death. And if ever there was it led forward life, and does not wait at the. And ceas'd the moment life appear'd. All goes onward and outward, nothing collapses. And to die is different from what any one supposed, and luckier. Has any one supposed it lucky to be born? I hasten to inform him or her it is just as lucky to die, and I know it. I pass death with the dying and birth with the new- wash'd babe, and. And peruse manifold objects, no two alike and every one good. The earth good and the stars good, and their adjuncts all good. I am not an earth nor an adjunct of an earth. I am the mate and companion of people, all just as immortal and. They do not know how immortal, but I know.). Here’s what you’ll find in his Manfrotto bag, a backpack designed for photographers: iPhone 6; MacBook Pro Retina 15” Nikon D500; Nikkor AF-S 70-200mm F/2.8G ED. ![]() There's a Digital Version of Disneyland's Fastpass System, But It Costs Money to Use It For those who don’t want to run back and forth across the parks to collect paper Fastpass tickets, Disneyland has launched a digital version of the system: Maxpass. For $1. 0 a day (or $7. Disneyland app can make Fastpass reservations on their phones and access Photo. Pass downloads. Is it worth it? Touringplans. com concludes that it’s not much different than getting regular Fastpasses, which are still available to all park guests. · TABEF ROSE MBUGUA KENT TOURS & TRAVEL LTD DIRECTOR www.kenttoursntravel.com Agent Tourism - Flight bookings and issuing tickets - Airport transfers -.Retrouvez toutes les discothèque Marseille et se retrouver dans les plus grandes soirées en discothèque à Marseille. Even more » Account Options. Sign in; Search settings. Statistical Techniques | Statistical Mechanics. For those who don’t want to run back and forth across the parks to collect paper Fastpass tickets, Disneyland has launched a digital version of the system: Maxpass. The 3638323 to 1605548 a 1450464 of 14434154 in 1270284 on 508384 that 503295 is 492114 said 487849 with 423779 at 408185.Why Apple's i. Phone 7 Headphones Don't Work on the Latest Mac. Book. Recently, a new staff member started at Lifehacker. She booted up her brand- new, company- issued Mac. Book Pro, and went to plug in her Ear. Pods to listen to some tunes while she worked. She was met with the same baffling conundrum as other Apple die- hards who rush to procure the latest release: Why the hell can’t you use the i. Phone 7’s Lightning connector headphones with the new Mac. Book Pro? Why Get Lightning Headphones in the First Place? First, some background. In 2. 01. 2, Apple introduced the smaller Lightning port on the i. Phone 5 replacing the 3. While the Lightning port necessitated a new charging cable, the Lightning connector was more compact than its predecessor and one could plug it into i. ![]() OS devices in either direction, making it more convenient. With the i. Phone 7, Apple made the “courageous” decision to force the use of its Lightning- compatible Ear. Pod headphones by removing the 3. Gmail is email that's intuitive, efficient, and useful. 15 GB of storage, less spam, and mobile access. In short, your 3. Ear. Pods that came with the phone, you bought a new pair of Lightning headphones, or you went wireless with Bluetooth- compatible headphones to listen to music. Using your old 3. Phone 7 is still possible, but requires the 3. Lightning adapter that comes included with the new i. Un libro è un insieme di fogli, stampati oppure manoscritti, delle stesse dimensioni, rilegati insieme in un certo ordine e racchiusi da una copertina. Adaptation script at the Internet Movie Script Database. Telecommuting is pretty easy now. Skype, Slack, and good ol’ Gchat—excuse me, Google Hangouts—make communicating with your colleagues down the hall or around. Blind Side, The script at the Internet Movie Script Database. Recently, a new staff member started at Lifehacker. She booted up her brand-new, company-issued MacBook Pro, and went to plug in her EarPods to listen to some tunes. Phone. That meant carrying around an extra, easy- to- lose little piece of equipment. It’s an example of Apple making design decisions that impact function for the sake of form, a decision the company’s made at many points in its past (for example, its decision to remove the optical drive in its 2. Macs). I admit, I get a wee bit frustrated when trying to remember which cord goes in which slot for all…Read more Removing the 3. By routing audio through the Lightning port, the phone can play higher quality, 2. Headphone manufacturers are also taking advantage of the fact that headphones can draw power from the i. Phone’s Lightning port, adding features like noise cancellation and interference- reducing DACs (digital- to- analog converters) to improve sound quality. But Lightning- only headphones only work on i. OS devices with Lightning ports. To listen to music on anything else, like your computer, or even an older i. Phone, you’ll need to tote around another pair of headphones. There Are No Functional Adapters Yet. Naturally, you might think there’s some sort of workaround, or an adapter that can easily fix this incompatibility issue. After all, Apple makes its own adapters for a variety of older interfaces (for instance, VGA port adapters for mirroring your i. OS device on a monitor). But unlike 3. 5mm headphones, which can be used with an i. Phone 7 via the Apple- made dongle, there’s no way to do the reverse and get Lightning headphones to work with anything that doesn’t have a Lightning port, making my colleague’s new Mac. Book Pro, with its four high- speed, reversible USB- C ports and single 3. We hate to break it to you, but the traditional USB ports you’ve used to connect your cameras,…Read more A dongle does exist to plug Lightning port headphones into a USB- C port, and we tried one, but it still didn’t fix the problem. Lightning- to- USB- C adapters only work when charging or transferring data. Which means no audio support, which means no Ear. Pod- powered desk concerts in your open- plan office. Apple Is Comfortable With User- Hostile Tech. Apple’s Lightning connector is convenient for Apple, but not so much for the rest of us. It’s only available on Apple’s i. OS devices, making switching to, say, an Android device an inconvenient and pricey decision—you’ll need new cables, headphones, docks etc. To play nice with others, Apple should have either left the 3. Phone, or switched to USB- C, which is what every other cell phone manufacturer is doing. And while their move towards incompatibility with other company’s devices isn’t surprising, it does seem a little weird that they’d build this kind of glaring incompatibility into their two most recent devices—the i. Phone 7 and the latest Mac. Book pro. The decision to exclude the Lightning port from its Macs—and not to publicly address the compatibility issues —also runs counter to its history of transition tools. During the company’s switch from Power. PC to Intel processors, it released the Rosetta translator software to keep Power. PC apps running on Intel- powered Macs. When the Mac. Book Air debuted without an optical drive, the company’s external Super. Drive optical drive eased the transition. My theory? The removal of the headphone jack and inclusion of Lightning Ear. Pods is simply a stop- gap to the company’s true goal of forcing you to go wireless and buy Air. Pods or Beats Bluetooth headphones. Considering the options, going wireless might be the answer, though I’d rather get some headphones that, you know, sound good. |
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