GEOLOCATION DRIVEN REINFORCMENT LEARNING-POWERED IN TRANSIT HEADSET NOISE CANCELLATION MECHANISM

When one is in transit, different kinds of non-stationary noises may arise. Moreover, in different countries non-stationary noise intensity levels may vary significantly from location to location. For example, in a market in India the intensity of noise will be much higher than that found in a market in the United States. Currently, however, artificial intelligence (AI) -driven headsets are trained on a generic noise-related dataset that is used to filter out noise. To address these types of challenges, techniques are presented herein that support an AI-based, state of the art, intelligent, and interactive algorithm that will detect current headset location based on a geolocation tag and invoke the appropriate specialized purposely-built pre-trained flows to cancel or suppress noise

Effect of Bio-degradation and Non Degradable Substances in Environment

Non-Biodegradable substances produce the greenhouse gasses, methane and carbon dioxide. Growing plants and trees on top of a landfill, a process known as ‘Phyto capping\u27, could reduce the production and release of these gasses. In certain parts of the world, it remains the most economical and simplest method of waste disposal. Biodegradation of organic matter in a landfill site occurs most rapidly when water comes into contact with the buried waste. An important step in the drive is to remove environmentally harmful materials from waste streams and drinking water. A synthetic clay known as swelling mica has the ability to separate ions of radium, a radioactive metal, from the water. The finding could have implications for radioactive and hazardous waste disposal, particularly in the cleanup of mill tailings left over from the processing of uranium for the nation\u27s nuclear industry. The tailings contain radium and heavy metals

REAL-TIME INSIGHTS-GUIDED BEFOREHAND CALL STATUS AND QUALITY PREDICTION ALERTS FOR TO-BE-CALLED NUMBER

Based on a number of factors (including the available bandwidth, network issues, or service provider issues), when a call is made that call may or not be successful. Additionally, the quality of a call may also experience a setback due to those factors. Currently, there is no “beforehand” guidance system in place within a call control ecosystem which can alert a user to the probable relevant issues before a call is made. Techniques are presented herein that address that deficiency. Aspects of the presented techniques encompass a Real-time Intelligent Insights Engine as part of a real-time calling solution (within, for example, an online communication and collaboration facility). Such an Insights Engine may monitor various important dimensions of a voice over Internet Protocol (VOIP) deployment and provide a caller with a real-time beforehand prediction, through a recommendation facility, based on a sliding timeframe (comprising, for example, the last n minutes) when a to-be-called number is dialed (but before the call is handed over to the network). Depending upon such a recommendation, a caller may decide the fate of their call accordingly. For example, if the caller still wishes to continue then the call may be placed. Alternatively, the caller may abort (or postpone) the call according to the recommendation

INTELLIGENT AUTO-ACTIVATION OF CLOSED CAPTIONS DURING ONLINE MEETINGS AND CALLS FOR PRODUCTIVE DISCUSSION

During a meeting or a call via a collaboration service (which brings together different capabilities such as video conferencing, online meetings, screen sharing, webinars, Web conferencing, and calling), a closed captions feature enables engaging and productive conversations for hard of hearing users and users with different levels of language proficiency. However, such a feature is by default turned off in collaboration meeting and calling services. Additionally, not all of the participants will be aware of such a feature. Techniques are presented herein that offer a unique cognitive algorithm for the intelligent automatic activation of a live captions feature for struggling participants. The algorithm may, in real time, examine various heuristic, audio, and video patterns (such as a participant’s geolocation, their home language, their accent, their fluency, their facial expression and body language, and optionally the context and intent of their speech) to identify the need for closed captions for the participants. Current meeting and calling solutions do not offer a mechanism to automatically detect the need for live captions. Employing the presented techniques may help promote the use of a closed captions feature and, in turn, enable much more engaging and productive conversations during a meeting or a call

Introduction About Child Health Status in India

Child health is a multifaceted problem which is directly linked to a large extent to mother’s health conditions, safe delivery conditions, socio-economic conditions of the family and the health care system. Over the time, the nation has implemented a number of child-centric programs, the poor health status of women and children in terms of high mortality and morbidity was another health priority in this country. Health facilities like hospitals and health centers were established for providing Maternal and Child Healthcare through antenatal, intra-natal and postnatal services. In addition, a number of special programs and schemes like immunization against vaccine-preventable diseases, nutrition interventions like iron and folic acid distribution and vitamin A supplementation, diarrheal disease control through Oral Rehydration Therapy (ORT), Acute Respiratory Infection (ARI) control program etc. were implemented over the past. In order to, ensure maximum benefit from these programs and to provide services in an integrated manner to these vulnerable groups strong monitoring system required

Determination of quality kinetics, microbiology, and sensory properties of shelf-stable chicken-wing sauce

Introduction: The development of shelf-stable foods is necessary to reduce dependence on refrigeration during their storage and distribution. Current trends in shelf-stable foods have seen a continuous rise in consumer demand that triggers research studies in the formulation, shelf stability, processing, and manufacturing of sauces frequently used by the food service industry. This study evaluated the shelf-life stability of chicken wing sauce with different flavors (hot, lemon pepper, sweet chili, teriyaki, and mild).Methods: All sauce formulations were developed and thermally processed to pasteurize using the hot-fill-and-hold (87.75°C for 5 min) method in a portable container which was then kept at ambient temperature (18.35°C ± 2) for 12 months. The samples were drawn periodically and analyzed for color, rheology, sensory, and microbial load.Results: The study’s findings revealed that sauces with different flavors (hot, lemon pepper, sweet chili, teriyaki, and mild) significantly declined in color and appearance, including viscosity, after ten months of storage. A very similar trend was noticed in textural changes. With the advancement of storage time, textural changes became prominent in lemon pepper and sweet chili sauce compared to hot teriyaki and mild sauces. Microbial analyses indicated the absence of pathogenic organisms, and no microbial activity was observed throughout the storage for up to 12 months. Among all sauces studied in this research project, lemon pepper exhibited a drastic decline in flavor, including some rancidity development after seven months of storage.Discussion: Extension of the shelf life and overall quality of the most commonly used sauces in the food service industry is of paramount importance. A better understanding of the changes in the physicochemical properties of sauces during storage can help food processors understand the expected changes

Nanotechnology Synergised Immunoengineering for Cancer

Novel strategies modulating the immune system yielded enhanced anticancer responses and improved cancer survival. Nevertheless, the success rate of immunotherapy in cancer treatment has been below expectation(s) due to unpredictable efficacy and off-target effects from systemic dosing of immunotherapeutic. As a result, there is an unmet clinical need for improving conventional immunotherapy. Nanotechnology offers several new strategies, multimodality, and multiplex biological targeting advantage to overcome many of these challenges. These efforts enable programming the pharmacodynamics, pharmacokinetics, delivery of immunomodulatory agents/co-delivery of compounds to prime at the tumor sites for improved therapeutic benefits. This review provides an overview of the design and clinical principles of biomaterials driven nanotechnology and their potential use in personalized nanomedicines, vaccines, localized tumor modulation, and delivery strategies for cancer immunotherapy. In this review, we also summarize the latest highlights and recent advances in combinatorial therapies avail in the treatment of cold and complicated tumors. It also presents key steps and parameters implemented for clinical success. Finally, we analyse, discuss, and provide clinical perspectives on the integrated opportunities of nanotechnology and immunology to achieve synergistic and durable responses in cancer treatment