For professional DJs, by using VirtualDJ instead of the limited software that comes with your controller, you will have the most advanced technology at your fingertips and perform even better mixes.
Virtual Dj 8 Limited Edition
The first version of VirtualDJ appeared on 1 July 2003. VirtualDJ is the successor to AtomixMP3, the first version of which dates from September 2000. The development of AtomixMP3 stopped in December 2003 as soon as its successor VirtualDJ was marketed. VirtualDJ existed in three different versions until 2009: Home Edition (sold in stores), PRO (only available online), and Limited Version (free with certain MIDI controllers). In late 2009, a new version called VirtualDJ Basic went on sale as a budget-friendly alternative to VirtualDJ Pro, without MIDI control. Since May 2014, (the release of version 8 ) 5 licence options are available: Pro Infinity (the full version, one time purchase, free updates), Pro Subscription (same access as Pro Infinity but a monthly subscription charge), Business (same access as Pro Infinity with addition support severices), Home Plus (Hardware control limited to a single device type), Home User (No hardware control other than a 10 minute trial when you start the software) .
The COVID-19 pandemic affected every activity of the Penn MS and Related Disorders Center at the Hospital of the University of Pennsylvania. Clinic visits were initially halted and then switched to a virtual format. Many patients were isolated by stay-at-home orders. As some patients began to return to in-patient clinic visits, providers found that deconditioning related to limited activity had resulted in increased weakness, spasticity, and balance issues, as well as increased pain. Patients also reported increased stress, depression, and anxiety.
To help patients with MS during the pandemic, Penn Center providers decided to offer virtual wellness programs. People with MS are becoming more interested in the concept of wellness,5,6 and there is evidence to suggest that in addition to disease-modifying therapies, lifestyle strategies that support wellness can help mitigate disease-related complications and comorbidities.7
The wellness programs were presented virtually via video conferencing (Zoom or BlueJeans) with links provided in an individual email. When the participants logged on, they could choose to mute their video and/or audio if they wanted to protect their anonymity, but many interacted with the speaker or one another. Patients provided ample messages with positive feedback and requests for different topics. As a result, there were 5 additional programs added to the schedule; in total, there were 17 programs over 6 months. An exercise program was offered 6 times and a mindfulness program was offered 3 times.
A virtual exercise program was offered each month for a total of 6 sessions. Thirty-five patients (81.4%) in the treatment group attended at least 1 session. The programs were presented by a certified personal trainer who also has MS. Her programs were based on NMSS evidence-based exercise and lifestyle physical activity recommendations for patients with MS throughout the disease course.16 She structured the programs so that patients could perform the exercises from a sitting or standing position.
The pandemic provided a perfect opportunity to explore the concept of virtual wellness programs. One researcher found that online opportunities for physical activity for patients with MS were a valued option and recommended that such programs be continued after the pandemic.30 Many of the participants in this study continue to attend the 2 monthly virtual wellness programs that have continued for the patients with MS beyond this study.
This study has several limitations. The study design changed because (1) the researchers could not compare the 2 groups due to lack of randomization, (2) additional programs were added by patient request, and (3) the scope of the analysis was limited to the 6-month end point. Many of the members of the sample were older white females who were highly educated, with most having degrees beyond high school. Therefore, the findings cannot be generalized to a more diverse population. Vaccine availability during the study may have contributed to the improvement of patient well-being.
Computers based on virtual memory, multiuser architecture have recently become economically available to medium sized research groups (about 25 members). These new computers offer advantages to the experimentalist, though acceptance has been sometimes limited. One of the most important advantages of a virtual memory machine is the capability of fast access to arrays having dimensions greater than 64 kbytes. Arrays larger than 64 kbytes were available on some older computers based on physical memory. The access time to the memory beyond 64 kbytes is extremely slow for these systems. Fast access to large arrays is particularly important now where large data sets are required for research systems.
A set of tumor cDNA libraries in which IL-8 is expressed (a subset of the IL-8 tissue cDNA libraries), was generated and is referred to as IL-8-tumor tissue. This virtual tissue consists of 16 cDNA libraries (171,521 cDNA clones) (Table 1 and Additional file 1). An IL-8-tumor gene database was established based on these libraries. The complete list of genes is provided in additional file 3, along with a distribution table based on contig size and Z-score (Table 2). We present here 42 candidate genes with relatively high levels of expression in IL-8-tumor tissue (EST clone count >= 100 and IL-8-tumor Z-score >= 3) (referred to as IL-8-tumor genes, IT-1, IT-2, ..., IT-42) (Table 5). To determine whether these genes are specifically related to IL-8-tumor tissue or whether they are also commonly found in tumors lacking IL-8 expression, the ratio between IL-8-tumor clones and general tumor clones (Ril8tumor) was plotted for IL-8-tumor genes (Figure 2). The Ril8tumor for all IL-8 tumor genes are greater than 38%, which is much higher than the expected background ratio between IL-8-tumor clones (171521, Table 1) and general tumor clones (864428, Table 1). A few of these genes are highly specific to IL-8-tumor tissues. Most notably GW 112, PS1, and KLF2 show Ril8tumor values of 86%, 81% and 76% respectively.
The vast amount of available EST data allows expression analysis based solely on computational methods. It is possible to construct a "virtual tissue" based on the expression pattern of a particular gene or group of genes (e.g. tumor marker genes). It is also possible to group genes by tissue type through combining genes from the same source tissue (e.g. tumor, brain, etc.). In this study we have generated "virtual tissues" based on (a) expression of IL-8 in all tissues and (b) expression of IL-8 in tumor tissues. Next we generated lists of genes that are most highly co-expressed with IL-8 in these two virtual tissues. Since the method is not limited to genes previously correlated with IL-8 expression nor to known genes, we have the opportunity to identify previously overlooked correlations with known or novel genes. In addition, the relative strength of the correlations is measured by a Z-score based on the number of clones representing IL-8 or IL-8-tumor tissue compared with the total number of clones. Assuming that co-expression is related to function, these Z-scores provide a basis for ranking genes according to potential involvement in IL-8's function. This reference database for genes co-expressed with IL-8 can be cross-referenced with other large scale expression analyses, such as microarray experiments, to help decipher the regulation network and the functions of IL-8 and IL-8 co-expressed genes.
The computational expression analysis methods developed here are not limited to the identification of IL-8 related genes, but can also be applied to many other proteins of interest. This method is complementary to other large-scale expression analysis methods (e.g. microarray) in that it is not limited by the physical presence of a gene on microarray, thus it offers an unique approach to discovering potential functional links between genes through expression profiling.
All non-commercial software used in these studies was written in PERL 5.0. Human EST sequence and cDNA library information were retrieved from GenBank (Release 120) and an in-house relational database model (Sybase, SQL Server Release 11.0, CA, Sybase Inc.) was created to mirror the public human EST database (dbEST). The EST sequences were first binned into clusters if they share the same 21 mer tag beginning with ATG or CTG. Next, ESTs in each cluster were assembled into contigs using the PHRAP sequence assembly software (Phil Green, Unpublished). Based on the ESTs corresponding to IL-8 in its cognate contig, we generated a set of cDNA libraries in which IL-8 is represented. This set of libraries is referred to as IL-8 tissue and can be considered as a virtual tissue consisting of 53 cDNA libraries (306,888 cDNA clones) (Table 1 and Additional file 1). We chose contigs consisting of at least 5 EST clones and present in at least 3 IL-8 libraries. The frequency of occurrence (F) and Z-score for all the contigs in these cDNA libraries were calculated as: 2ff7e9595c
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