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Background/Aims: The Citak Sub Ethnic Asmat ethnic group is one of the ethnic groups who still choose to live semi nomadically. Based on the above notes, this study aims to describe the way food is provided and the nutritional status of Asmat ethnic children in Papua Province. Methods: This study is a cross-sectional study, the sample size of 197 people, purposively in 12 Kolofbrasa Papua District villages. Results: The results of the study revealed that the majority of the population of ethnic Citak Asmat sub-ethnic groups were 43.19% and had no permanent employment as much as 35.68%. Farmers in the Kolofbrasa district are farmers moving to move without permanent land. Food supply is daily (sago) for consumption of two to three days. There are no sago trade transactions although these foods are stapled foods, as are other foods. Especially for rice is only obtained through poor rice assistance by the government every three months. The absence of a market as a center for trade in food commodities. Food supply influenced by program social safety net (rice low cost) by government Indonesia. The nutritional status of children were wasting, stunting and underweight respectively 17.3%, 40% and 26.8%. Conclusions: The absence of food trade and market in Kolofbrasa sub district Asmat Papua and also semi nomadic population were at risk of malnutrition for child.

The abysmal state of and challenges in municipal solid waste management (MSWM) in urban India is the motivation of the present study. Urbanization contributes enhanced municipal solid waste (MSW) generation and unscientific handling of MSW degrades the urban environment and causes health hazards. In this paper, an attempt is made to evaluate the major parameters of MSWM, in addition to a comprehensive review of MSW generation, its characterization, collection, and treatment options as practiced in India. The current status of MSWM in Indian states and important cities of India is also reported. The essential conditions for harnessing optimal benefits from the possibilities for public private partnership and challenges thereof and unnoticeable role of rag-pickers are also discussed. The study concludes that installation of decentralized solid waste processing units in metropolitan cities/towns and development of formal recycling industry sector is the need of the hour in developing countries like India.

Background: Stunting is the impaired growth and development of children due to poor nutrition, repeated infection, and inadequate psychological stimulation. This research aims to examine the impact of maternal nutritional literacy (MNL) in increasing the height or score of a stunted child. Design and Methods: This study is a randomized control trial, which uses a sample size of 85 participants, 43 interventions and 42 controls, an 80% stress test and a 95% confidence level. The intervention group of the MNL consists of families with children under the age of five, focused on the mother’s ability to perform breastfeeding, hygiene activities, care, and intervention for 3 months. Result: The status of stunting was determined by the different distribution of stunting before and after the intervention in both the intervention and control groups. There was a decrease of about 9.3% of MNL in the intervention group, while in the control group it decreased by just 2.4% (p<0.05). Conclusions: It can be concluded that MNL has an effect in preventing stunting, and it is recommended that preventive measures should focus more on normal children, while stunted children should be provided with breastfeeding as the core of MNL. Significance for public health Preventing stunting requires an effort based on the family potential, and the nutritional literacy of the maternal is the most appropriate measure in achieving the preventive goals. This article shows that the maternal nutrition literacy interventions are very good in such a way that they become a reference for improving the nutrition and public health.

Almost the entire world, not only China, is currently experiencing the outbreak of a novel coronavirus that causes respiratory disease, severe pneumonia, and even death. The outbreak began in Wuhan, China, in December of 2019 and is currently still ongoing. This novel coronavirus is highly contagious and has resulted in a continuously increasing number of infections and deaths that have already surpassed the SARS-CoV outbreak that occurred in China between 2002 and 2003. It is now officially a pandemic, announced by WHO on the 11th of March. Currently, the 2019 novel coronavirus (SARS-CoV-2) can be identified by virus isolation or viral nucleic acid detection; however, false negatives associated with the nucleic acid detection provide a clinical challenge and thus make the imaging examination crucial. Imaging exams have been a main clinical diagnostic criteria for the 2019 novel coronavirus disease (COVID-19) in China. Imaging features of multiple patchy areas of ground glass opacity and consolidation predominately in the periphery of the lungs are characteristic manifestations on chest CT and extremely helpful in the early detection and diagnosis of this disease, which aids prompt diagnosis and the eventual control of this emerging global health emergency.Key Points• In December 2019, China, an outbreak of pneumonia caused by a novel, highly contagious coronavirus raised grave concerns and posed a huge threat to global public health.• Among the infected patients, characteristic findings on CT imaging include multiple, patchy, ground-glass opacity, crazy-paving pattern, and consolidation shadows, mainly distributed in the peripheral and subpleural areas of both lungs, which are very helpful for the frontline clinicians.• Imaging examination has become the indispensable means not only in the early detection and diagnosis but also in monitoring the clinical course, evaluating the disease severity, and may be presented as an important warning signal preceding the negative RT-PCR test results.

This paper discusses the implementation of five key strategies of reducing dwelling time at ports. The five strategies are deregulation of administrative procedures, availability of infrastructure and port facilities, integration of information technology, quality of services, price and incentive strategies. By using partial least squares method and bootstrapping testing, these five variables are a good fit, reliable, and robust as a factor for reducing dwelling time at the port. However, the implementation at Ports in Indonesia still needs to be improved. Four strategies have been running well and they have a significant effect either directly or indirectly on the decrease of dwelling time, namely deregulation of administrative procedures, availability of infrastructure and port facilities, integration of information technology, dan quality of services. While price and incentive have not been maximized to reduce dwelling time at Ports in Indonesia.

This paper discusses the implementation of five key strategies of reducing dwelling time at ports. The five strategies are deregulation of administrative procedures, availability of infrastructure and port facilities, integration of information technology, quality of services, price and incentive strategies. By using partial least squares method and bootstrapping testing, these five variables are a good fit, reliable, and robust as a factor for reducing dwelling time at the port. However, the implementation at Ports in Indonesia still needs to be improved. Four strategies have been running well and they have a significant effect either directly or indirectly on the decrease of dwelling time, namely deregulation of administrative procedures, availability of infrastructure and port facilities, integration of information technology, dan quality of services. While price and incentive have not been maximized to reduce dwelling time at Ports in Indonesia.

Nationally, the prevalence of Diabetes Mellitus (DM) has increased by 0.5%. In 2013, it was approximately 1.5%, rising to 2.0% in 2018. On the other hand, it is known that administering walnut extract can reduce blood sugar levels in diabetic patients. The aim of this study is to determine the effect of walnut consumption on blood sugar levels. The research was conducted experimentally, using a pre-post test control group design. The research sample consisted of mothers with fasting blood sugar levels ≥200 mg/dL and total cholesterol levels ≥200 mg/dL (hyperglycemic and hyperlipidemic). The total sample size was 50 mothers, divided into 2 groups. Samples were selected using simple random sampling. The intervention involved giving 50 grams of walnut (Canarium Indicum L.) daily for 8 weeks to the treatment group. The research was conducted in the working area of the Paccerakang Community Health Center in Makassar City, Indonesia. Statistical analysis was performed using paired T-tests. There was a decrease in fasting blood glucose levels in the treatment group from 244.12 mg/dL to 195.52 mg/dL. In the control group, there was a slight decrease in blood sugar levels from 236.92 mg/dL to 229.96 mg/dL. Paired T-test analysis in the treatment group showed a value of p=0.00, indicating a significant difference in cholesterol levels before and after the intervention in the treatment group. In the control group, the value was p=0.07, indicating no significant difference in cholesterol levels in the control group. Administering 50 grams of walnuts per day for 8 weeks significantly lowered fasting blood sugar levels in hyperlipidemic and hyperglycemic mothers.

Piles of steel slag, a solid waste generated from the iron and steel industry, could be seen due to no utility found for the past century. Steel slag has now gained much attention because of its new applications. The properties of slag greatly influence its use and thus had got varied applications. The chemical composition of steel slag varies as the mineral composition of raw material such as iron ore and limestone varies. This paper reviews the characteristics of steel slag and its usage. The paper reviews recent developments in well-known applications to the steel slag such as aggregate in bituminous mixes, cement ingredient, concrete aggregate, antiskid aggregate, and rail road ballast. This paper also reviews novel uses such as mechanomutable asphalt binders, building material, green artificial reefs, thermal insulator, catalyst and ceramic Ingredient. The review is also done on utilization of solid waste for waste management by the novel methods like landfill daily cover material, sand capping, carbon sequestration, water treatment and solid waste management. Review also shows recovery of pure calcium carbonate and heavy metals from slag, providing opportunity for revenue generation. Steel slag once traded as free to use by steel industries is now sold in the market at some price. Its utilization is of great economic significance as it also contributes to the reduction of solid waste.

The Internet of Things (IoT) has developed a well-defined infrastructure due to commercializing novel technologies. IoT networks enable smart devices to compile environmental information and transmit it to demanding users through an IoT gateway. The explosive increase of IoT users and sensors causes network bottlenecks, leading to significant energy depletion in IoT devices. The wireless network is a robust, empirically significant, and IoT layer based on progressive characteristics. The development of energy-efficient routing protocols for learning purposes is critical due to environmental volatility, unpredictability, and randomness in the wireless network’s weight distribution. To achieve this critical need, learning-based routing systems are emerging as potential candidates due to their high degree of flexibility and accuracy. However, routing becomes more challenging in dynamic IoT networks due to the time-varying characteristics of link connections and access status. Hence, modern learning-based routing systems must be capable of adapting in real-time to network changes. This research presents an intelligent fault detection, energy-efficient, quality-of-service routing technique based on reinforcement learning to find the optimum route with the least amount of end-to-end latency. However, the cluster head selection is dependent on residual energy from the cluster nodes that reduce the entire network’s existence. Consequently, it extends the network’s lifetime, overcomes the data transmission’s energy usage, and improves network robustness. The experimental results indicate that network efficiency has been successfully enhanced by fault-tolerance strategies that include highly trusted computing capabilities, thus decreasing the risk of network failure.