Explore the vast range of titles available.

Because that's exactly what's been missing for a decade now — because systems are duct-taped together with legacy POS in the middle — creating inefficiencies and broken experiences. Unsurprisingly, POS has taken a back seat to all the newer, shinier, pandemic-friendly tools like mobile apps, curbside, SMS, online ordering & third-party delivery, food lockers, temperature readers, drive-thru optimization, AI and voice, robots in the kitchen …. the list goes on and on. If restaurant brands adopt a bunch of new technology through the pandemic and then plan to bolt it on to legacy, non-cloud based POS (a sandy foundation) — the result is going to be very disappointing. Because the large majority of enterprise restaurant chains are still operating on legacy POS platforms sporting client/server architecture with 30-year old monolithic code! [...]your digital ordering hubs and new tech toys all connected to it, providing one consistent flow and data set from a single menu structure? A digital-first POS should have: * Modern and open cloud architecture using a micro-services approach. * API-first philosophy and direct third-party integrations. * One menu management structure with dynamic menu items and stores * One database with integrated code and a common core processing engine. * Centralized reporting and management for the full ordering ecosystem So, let's all do the right thing and focus on what's best for the restaurant operator and the guest not just in the short-term, but also in the near and long term.

Serve your highest-margin menu items Start by taking a good hard look at your P-Mix data to identify your high-margin and best-selling items; then determine which ones have the best staying power? they travel well and stay fresh longest. Side dishes are often high margin, travel well and stay well for days in the refrigerator (i.e., potato/macaroni salad, beans, mashed potatoes, granola and yogurt). [...]please, do not push out any messages that don't take the current crisis into account. Stay positive and adaptable, considering new menu items or combinations that will produce the highest margin, travel best and drive repeat business.

Serve your highest-margin menu items Start by taking a good hard look at your P-Mix data to identify your high-margin and best-selling items; then determine which ones have the best staying power— they travel well and stay fresh longest. Side dishes are often high margin, travel well and stay well for days in the refrigerator (i.e., potato/macaroni salad, beans, mashed potatoes, granola and yogurt). [...]please, do not push out any messages that don't take the current crisis into account. Stay positive and adaptable, considering new menu items or combinations that will produce the highest margin, travel best and drive repeat business.

Living wage campaigns seek to require private businesses that benefit from public money to pay their workers a living wage (usually defined as at least enough to bring a family of four to the federal poverty line, currently $8.20 an hour). Over the years, activists have adapted the living wage phrase to a range of campaigns around working conditions, workers' right to organize and corporate accountability.

Machine learning has been applied in recent years to categorize sleep stages (NREM, REM, and wake) using electroencephalogram (EEG) recordings; however, a well-validated sleep scoring automatic pipeline in rodent research is still not publicly available. Here, we present IntelliSleepScorer, a software package with a graphic user interface to score sleep stages automatically in mice. IntelliSleepScorer uses the light gradient boosting machine (LightGBM) to score sleep stages for each epoch of recordings. We developed LightGBM models using a large cohort of data, which consisted of 5776 h of sleep EEG and electromyogram (EMG) signals across 519 unique recordings from 124 mice. The LightGBM model achieved an overall accuracy of 95.2% and a Cohen’s kappa of 0.91, which outperforms the baseline models such as the logistic regression model (accuracy = 93.3%, kappa = 0.88) and the random forest model (accuracy = 94.3%, kappa = 0.89). The overall performance of the LightGBM model as well as the performance across different sleep stages are on par with that of the human experts. Most importantly, we validated the generalizability of the LightGBM models: (1) The LightGBM model performed well on two publicly available, independent datasets (kappa >  = 0.80), which have different sampling frequency and epoch lengths; (2) The LightGBM model performed well on data recorded at a lower sampling frequency (kappa = 0.90); (3) The performance of the LightGBM model is not affected by the light/dark cycle; and (4) A modified LightGBM model performed well on data containing only one EEG and one EMG electrode (kappa >  = 0.89). Taken together, the LightGBM models offer state-of-the-art performance for automatic sleep stage scoring in mice. Last, we implemented the IntelliSleepScorer software package based on the validated model to provide an out-of-box solution to sleep researchers (available for download at https://sites.broadinstitute.org/pan-lab/resources ).

A growing global health concern, Lyme disease has become the most common tick-borne disease in the United States and Europe. Caused by the bacterial spirochete Borrelia burgdorferi sensu lato (sl), this disease can be debilitating if not treated promptly. Because diagnosis is challenging, prevention remains a priority; however, a previously licensed vaccine is no longer available to the public. Here, we designed a six component vaccine that elicits antibody (Ab) responses against all Borrelia strains that commonly cause Lyme disease in humans. The outer surface protein A (OspA) of Borrelia was fused to a bacterial ferritin to generate self-assembling nanoparticles. OspA-ferritin nanoparticles elicited durable high titer Ab responses to the seven major serotypes in mice and non-human primates at titers higher than a previously licensed vaccine. This response was durable in rhesus macaques for more than 6 months. Vaccination with adjuvanted OspA-ferritin nanoparticles stimulated protective immunity from both B. burgdorferi and B. afzelii infection in a tick-fed murine challenge model. This multivalent Lyme vaccine offers the potential to limit the spread of Lyme disease.

Global climate change can have serious direct effects on animal health and production through heat stress. In Hungary, the number of heat stress days per year (YNHD), i.e., days when the temperature humidity index (THI) is above a specific comfort threshold, has increased in recent years based on observed meteorological data. Between 1973 and 2008, the countrywide average increase in YNHD was 4.1% per year. Climate scenarios based on regional climate models (RCM) were used to predict possible changes in YNHD for the near future (2021-2050) relative to the reference period (1961-1990). This comparison shows that, in Hungary, the 30-year mean of YNHD is expected to increase by between 1 and 27 days, depending on the RCM used. Half of the scenarios investigated in this study predicted that, in large parts of Hungary, YNHD will increase by at least 1 week. However, the increase observed in the past, and that predicted for the near future, is spatially heterogeneous, and areas that currently have large cattle populations are expected to be affected more severely than other regions.

A growing global health concern, Lyme disease has become the most common tick-borne disease in the United States and Europe. Caused by the bacterial spirochete Borrelia burgdorferi sensu lato (sl), this disease can be debilitating if not treated promptly. Because diagnosis is challenging, prevention remains a priority; however, a previously licensed vaccine is no longer available to the public. Here, we designed a six component vaccine that elicits antibody (Ab) responses against all Borrelia strains that commonly cause Lyme disease in humans. The outer surface protein A (OspA) of Borrelia was fused to a bacterial ferritin to generate self-assembling nanoparticles. OspA-ferritin nanoparticles elicited durable high titer Ab responses to the seven major serotypes in mice and non-human primates at titers higher than a previously licensed vaccine. This response was durable in rhesus macaques for more than 6 months. Vaccination with adjuvanted OspA-ferritin nanoparticles stimulated protective immunity from both B. burgdorferi and B. afzelii infection in a tick-fed murine challenge model. This multivalent Lyme vaccine offers the potential to limit the spread of Lyme disease.