Cohen-Macaulay permutation graphs

In this article, we characterize Cohen-Macaulay permutation graphs. In particular, we show that a permutation graph is Cohen-Macaulay if and only if it is well-covered and there exists a unique way of partitioning its vertex set into $r$ disjoint maximal cliques, where $r$ is the cardinality of a maximal independent set of the graph. We also provide some sufficient conditions for a comparability graph to be a uniquely partially orderable (UPO) graph.Comment: 8 pages, 2 figures; comments are welcom

Rainfall Prediction with Machine Learning Algorithms

Predicting when and how much rain will fall is a difficult and unpredictable process that has far-reaching consequences for human civilization. Predictions that are both timely and accurate may be used to proactively reduce casualties and property damage. This research provides a series of experiments that employ popular machine learning methods to construct models that predict whether or not it will rain the next day in major Australian cities based on meteorological data for that day. Modelling inputs, modelling approaches, and pre-processing procedures are the focal points of this comparative analysis. The findings compare and contrast the performance of different machine learning methods in making accurate weather predictions using a variety of assessment measures

Do fishes consume plastics? If so, are they always dangerous?

Plastics have tremendous advantages and utility in the present world but its indiscriminate discard creates a pathway to water bodies and eventually forming a threat to aquatic organisms. The large plastics (macro plastics) can degrade and become smaller meso or micro plastics which can be ingested by fishes and invertebrates. Low density plastics (eg. Poly propylene or polyethylene) are dominant in the top layers for a certain period of their entry, may suffer biofouling causing it to sink gradually. High density plastics (PVC, Polyester and polyamides) usually sink to the bottom. Macro, Meso and Micro polymers selected for the study were polypropylene, polyethylene and polyvinyl chlorid

Synthesis of photoactivable Pt(IV) prodrug loaded on NaYF4 based upconversion nanoparticles functionalized with 2-deoxy-D-glucose and its evaluation for targeted cancer therapy

21-30Nano-formulation based on Tm, Yb doped NaYF4 upconversion nanoparticles (UCNPs) functionalized with 2-deoxy-D-glucose have been synthesized to load the photoactivable Pt(IV) prodrug, cis-[PtI2(NH3)2(OCOCH2CH2COOH)2]. The Pt(IV) prodrug has been synthesized by oxidation of cis-[PtI2(NH3)2] to [PtI2(OH)2(NH3)2] and its further treatment with succinic anhydride. It is loaded through ester bond formation between the carboxyl groups of Pt(IV) prodrug with hydroxyl groups of 2-deoxy-D-glucose (2-DG) coated on UCNPs. The cytotoxicity of formulation after exposing to 385 nm UV light and in absence of light is evaluated against MCF-7 cell lines by MTT assay. The results have revealed enhanced cytotoxicity of UV exposed nano-formulation. Additionally, the clonogenic assay has exhibited the decrease in plating efficiency as inferred from decreased surviving fraction around 20% only for UV activated formulation as compared to formulation in dark, as well as merely Pt(IV) prodrug. These results are indicative that more internalization of the formulation inside the cancer cells was achieved due to the presence of 2-DG rendering more efficiency to kill cancer cells

Beneficial impacts of goat milk on the nutritional status and general well-being of human beings: Anecdotal evidence

Goats provide an essential food supply in the form of milk and meat. Goat milk has distinct qualities, but it shares many similarities with human and bovine milk regarding its nutritional and therapeutic benefits. Because of their different compositions, goat and cow milk products could have different tastes, nutrients, and medicinal effects. Modification in composition aid of goat milk determining the viability of goat milk processing methods. Comparatively, goat's milk has higher calcium, magnesium, and phosphorus levels than cow's or human milk but lower vitamin D, B12, and folate levels. Goat milk is safe and healthy for infants, the old, and healing ailments. Capric, caprylic, and capric acid are three fatty acids that have shown promise as potential treatments for various medical issues. Considering the benefits and drawbacks of goat milk over cow milk is essential; goat milk is more digestible, has unique alkalinity, has a better buffering capacity, and has certain medicinal benefits. Acidifying goat milk shrinks fat globules and makes protein friable (with less αs1-casein and more αs2-casein). Goat milk treats malabsorption illnesses because it has more short- and medium-chain triglycerides that give developing children energy. In wealthy countries, goat milk and its products—yoghurt, cheeses, and powdered goods—are popular with connoisseurs and persons with allergies and gastrointestinal issues who need alternative dairy products. A food product category containing fermented goat milk with live probiotic microbes appears promising nutritionally and medicinally. This article presents anecdotal evidence of the therapeutic effects of consuming goat milk for human health and its nutritional value

“निर्मल धारा” - तटीय पारिस्थितिक तंत्र के प्रति शुद्ध पानी प्रवाह सुनिश्चित करने की वैज्ञानिक पहल

“निर्मल धारा” - तटीय पारिस्थितिक तंत्र के प्रति शुद्ध पानी प्रवाह सुनिश्चित करने की वैज्ञानिक पह

Potential benefits of Glycyrrhiza glabra (Liquorice) herb, its chemical make-up and significance in safeguarding poultry health: Current scientific knowledge

Positive results have been seen when bioactive components from herbal plants are added to poultry diets. Efficacy in feeding, digestion of nutrients, antioxidant health, immunological indices, and other factors can all be improved with the help of these additives, which in turn increases growth rates and improves poultry welfare. Several researchers have used sophisticated herbal formulae that included Glycyrrhiza glabra (Liquorice) as an ingredient. Epidemic illnesses, mainly in the respiratory, digestive, and immunological systems, pose the greatest threat to the poultry business. Flavonoids and glycyrrhizin are two of the bioactive compounds in Liquorice. The roots of this plant contain glycyrrhizin at concentrations of 1-9%, which has numerous pharmacological benefits, including anti-infectious, antioxidant, antiviral, and anti-inflammatory properties. Liquorice extracts are helpful in the treatment of multiple common illnesses. These include problems with the liver, the lungs, and the immunological system. Adding Liquorice to chicken diets improves their productivity in several ways, including fostering organ growth and stimulating digestion and appetite. Liquorice has many beneficial effects on birds, including helping them grow larger bodies, cleansing their systems, and protecting them from free radicals, bacteria, and inflammation. In this article, we'll look at the chemical make-up of liquorice herb, its role in protecting poultry health, and its recent applications and benefits

A regenerative microchannel device for recording multiple single-unit action potentials in awake, ambulatory animals

Despite significant advances in robotics, commercially advanced prosthetics provide only a small fraction of the functionality of the amputated limb that they are meant to replace. Peripheral nerve interfacing could provide a rich controlling link between the body and these advanced prosthetics in order to increase their overall utility. Here, we report on the development of a fully integrated regenerative microchannel interface with 30 microelectrodes and signal extraction capabilities enabling evaluation in an awake and ambulatory rat animal model. In vitro functional testing validated the capability of the microelectrodes to record neural signals similar in size and nature to those that occur invivo. In vitro dorsal root ganglia cultures revealed striking cytocompatibility of the microchannel interface. Finally, invivo, the microchannel interface was successfully used to record a multitude of single-unit action potentials through 63% of the integrated microelectrodes at the early time point of 3weeks. This marks a significant advance in microchannel interfacing, demonstrating the capability of microchannels to be used for peripheral nerve interfacing

Highly Divergent Mitochondrial ATP Synthase Complexes in Tetrahymena thermophila

Tetrahymena ATP synthase, an evolutionarily divergent protein complex, has a very unusual structure and protein composition including a unique Fo subunit a and at least 13 proteins with no orthologs outside of the ciliate lineage

Challenges of COVID-19 Case Forecasting in the US, 2020–2021

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and government entities led by the Centers for Disease Control and Prevention and the US COVID-19 Forecast Hub (https://covid19forecasthub.org). We evaluated approximately 9.7 million forecasts of weekly state-level COVID-19 cases for predictions 1-4 weeks into the future submitted by 24 teams from August 2020 to December 2021. We assessed coverage of central prediction intervals and weighted interval scores (WIS), adjusting for missing forecasts relative to a baseline forecast, and used a Gaussian generalized estimating equation (GEE) model to evaluate differences in skill across epidemic phases that were defined by the effective reproduction number. Overall, we found high variation in skill across individual models, with ensemble-based forecasts outperforming other approaches. Forecast skill relative to the baseline was generally higher for larger jurisdictions (e.g., states compared to counties). Over time, forecasts generally performed worst in periods of rapid changes in reported cases (either in increasing or decreasing epidemic phases) with 95% prediction interval coverage dropping below 50% during the growth phases of the winter 2020, Delta, and Omicron waves. Ideally, case forecasts could serve as a leading indicator of changes in transmission dynamics. However, while most COVID-19 case forecasts outperformed a naïve baseline model, even the most accurate case forecasts were unreliable in key phases. Further research could improve forecasts of leading indicators, like COVID-19 cases, by leveraging additional real-time data, addressing performance across phases, improving the characterization of forecast confidence, and ensuring that forecasts were coherent across spatial scales. In the meantime, it is critical for forecast users to appreciate current limitations and use a broad set of indicators to inform pandemic-related decision making