The Nutritional Preponderance and Propensity to COVID-19 in Children

Aims & Objectives: Nutrition plays a very important role in the Immunity and Immunoregulation in children. The risk of acquiring an infection is very high in malnourished and underweight children, which is what we venture out to find out in our study by researching the susceptibility for COVID-19 in children and comparing it with their nutritional status. Materials & Methods: Our Tertiary Childrens hospital had 46 COVID positive children admitted in 2020, the nutritional status analysis, showed that there were four children 8.6% (n=4) in Obese category, 19.5%, nine (n=9) children were Overweight, 17.39 %, 8 children Underweight (n=8) and 25 children were 54.3% well nourished. Results: This case series describes the various features in COVID-19 in children with and without co-morbidities primarily focusing on the nutritional profile. This is the first single centre case series globally on COVID-19. Our cohort showed no significant relation between COVID-19 and the nutritional status. We saw an equal distribution of COVID-19 in children irrespective of their nutritional status at admission. Conclusions: We did not notice any statistical significance in the age group or the nutritional status in children infected with COVID-19

Microplastics in Mollusks: Research Progress, Current Contamination Status, Analysis Approaches, and Future Perspectives

Plastic fragments < 5 mm, known as microplastics (MPs), are ubiquitously present in the marine environment. Research on MPs pollution has gradually shifted from field investigations to laboratory studies. With the rapid growth of plastic consumption and the prevalence of aquaculture products, studies on marine MPs have focused on key marine species, such as mollusks. This review summarizes the recent knowledge including 77 important relevant literatures (from 2010 to 2021) on MPs contamination in mollusks with the objectives of (1) elucidating the current status of MPs pollution levels in mollusks, (2) highlighting the main methods and techniques for separation, extraction, and identification of MPs in soft tissues of bivalves and (3) presenting the current research progress and future directions. The review visually presents some of the important results in graphic form, which shows that the most common polymer plastics in bivalves are polypropylene, polystyrene, and polyethylene, and the shapes were mainly fiber and threadiness, mollusks are more likely to feed smaller MPs, most of the MPs in bivalves are less than 500 μm, and the abundance of MPs in seawater and the abundance of MPs in mollusks have a positive relationship, etc. This review will provide a comprehensive reference for studies of microplastics in marine organisms and the ecological pollution, and also has scientific guiding significance in the research method.

THE STATUS ANALYSIS OF SUSTAINABILITY OF TOURISM DEVELOPMENT GUCI BATU KAPAL BEACH IN MAJA VILLAGE, KALIANDA, SOUTH LAMPUNG

Tourism is an activity that supported with all the facilities at once the tourist activities which gained benefits parties included tourism or visitors, society and local government. Tourism as one of a development sector and driving force of the wheels of economy could not be released the connection with the sustainable development that had been planned by the government. The sustainable tourism development namely a development that could be supported as ecologically, economy worthy, also fair in ethics and social to society. The purpose of this research was to: (1) analyzing the status of tourist sustainability of Guci Batu Kapal beach from five sustainable dimensions (ecology, economy, technology infrastructure, also law and institutional); (2) Identifying factors that influencing sustainable index of Guci Batu Kapal beach tourism. This research was held on February 2021, in Guci Batu Kapal beach, Maja village, Kalianda, South Lampung. The methods that were used for this research was qualitative methods by descriptive research. Analyzing data that used was analyzing multi-dimensional scaling (MDS) with rapfish approach and leverage analysis. The result of this research showed that tourism of Guci Batu Kapal beach had an index score as 21,58 on a sustainable scale 0-100, which mean include in the bad impact (unsustainable) because of the index score was between in index score of 0-25,00. This analysis of Monte-Carlo showed that the index score of tourism Guci Batu Kapal beach sustainability was not that much different with the Rap-beachtour analysis, the difference obtained only for 0,0001-0,00003. The result was quite stable also the mistake in the input could not be avoided.

Left atrial dynamics and congestion status analysis in acute decompensated heart failure based on LVEF categorization

Background Left atrial (LA) dynamics play a key role in the hemodynamics assessment of heart failure (HF). LA strain analysis by speckle tracking echocardiography (STE) has recently been introduced in clinical practice. In acute decompensated heart failure (ADHF), LA functional deterioration leads to worsening of pulmonary capillary hypertension and congestion, ultimately impacting prognosis. However, how LA size and function behaves in ADHF according to the different HF phenotypes has never been studied. Purpose To evaluate the diverse morphology and dynamics of the LA, along with a thorough congestion analysis, in ADHF patients with HFpEF, HFmrEF and HFrEF. Methods Eighty-five ADHF patients (mean age 75.6±10.4 years, 59% males) were prospectively enrolled within 24–48 hours from admission to the emergency department. In the acute phase all patients underwent a complete transthoracic echocardiography (TTE) and lung ultrasonography (LUS) associated with blood sample and a thorough clinical examination. LA mechanics was assessed with STE, through the evaluation of global peak atrial longitudinal strain (GPALS). Results Out of 85 patients, 51% were classified as HFrEF, 20% as HFmrEF and 29% as HFpEF. At admission, all patients exhibited a comparable degree of congestion, as testified by increased IVC max. diameter (HFpEF 19±7 mm vs HFrEF 20±6.3 mm vs HFmrEF 17±5.3 mm, p=0.167), incremented PASP (HFpEF 39.2±13.5 mmHg vs HFrEF 42±12 mmHg vs HFmrEF 35.3±10.1 mmHg, p=0.15) and a rising number of B-lines on LUS (HFpEF 20±12.8 vs HFrEF 24±17 vs HFmrEF 21±19, p=0.62). Increased NT-proBNP values in the cohort were also noted, with HFrEF exhibiting the highest levels (HFrEF 11747±1069 ng/l vs HFmrEF 6905±811 ng/l vs HFpEF 3918±374 ng/l; p<0.001). When evaluating LA size and dynamics in the different HF phenotypes (HFrEF, HFmrEF and HFpEF respectively) a significant difference among the three subgroups was noted with HFrEF patients exhibiting a greater LA dilation and a higher impairment in terms of LA reservoir function (lowest GPALS/LAVi ratio) compared to HFpEF patients, who showed relatively less enlarged LA chambers and more preserved dynamics. Interestingly, HFmrEF patients expressed the best coupling between LA function and dimension, with significantly reduced LA dimensions and a more preserved LA function compared to HFrEF and HFpEF (LAVi: HFpEF 50.7±16 ml/m2 vs HFrEF 53.9±15 ml/m2 vs HFmrEF 42.8±10.8 ml/m2, p=0.05*; GPALS HFpEF 17±9.1% vs HFrEF 10±4.85% vs HFmrEF 18.3±6.2%, p<0.001*) (Figure 1 and 2). Conclusions ADHF patients exhibit an heterogeneous response in terms of LA size and function according to LVEF categorization. The definition of subjects expressing the worst coupling between LA size and function appears of relevance in order to facilitate risk stratification and identify patients at higher risk of early re-hospitalization. FUNDunding Acknowledgement Type of funding sources: None.

Neural Network Topology Construction and Classroom Interaction Benchmark Graph Based on Big Data Analysis

With the rapid development of artificial intelligence and deep learning in recent years, many universities have put forward the goal of achieving digitalization, intelligent, and education informatization on campus. Throughout the lecture and learning process, the classroom status is an important reference factor to assess students’ acceptance of the course and the quality of lectures. However, at present, classroom status analysis is mainly conducted manually, which can distract teachers’ attention, so it is of great research significance to find a method that can improve the efficiency of classroom status analysis. In this paper, we choose an offline method to analyze the status of a classroom video recording in terms of students’ behavior and attendance in terms of frames, in which student behavior is identified by an improved target detection algorithm and attendance is analyzed by face recognition. By analyzing the structure of the neural network model, an improved neural network model is proposed for its characteristics of a large number of parameters and poor detection of small targets in the basic network. The backbone network is replaced by the improved neural network, and the depth-separable convolutional network is used to reduce the network parameters and increase the computation speed. The information in the deeper feature map is fused upward into the shallow layer to improve the accuracy of small target recognition. Finally, the optimization algorithm is incorporated into the network to optimize the network model and accelerate the model convergence speed. In addition, this paper incorporates the improved behavior recognition method and face recognition method into the system to realize the analysis of the offline classroom status. The system is divided into a teacher side and a management side, where the teacher side is responsible for uploading course recordings and the management side is responsible for randomly analyzing students’ status and attendance at any time, and the combination of the two forms a convenient and comprehensive classroom status analysis system platform. Users can upload classroom videos through the instructor interface and can view the classroom status analysis results of a course at any time by searching randomly in the administration. In this paper, the classroom status is mainly judged by the recognition of students’ behaviors.

SISTEM PENENTUAN PEMBERIAN PINJAMAN DANA PADA KOPERASI SIMPAN PINJAM MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

In providing loans, cooperatives have stages that must be passed before credit is decided to be disbursed. The aim is to facilitate cooperatives in assessing the feasibility of a credit application. The loan eligibility assessment is carried out with many assessment criteria including employment, income, capital/shares, number of dependents, and house status. Analysis of loan eligibility requires the accuracy of a credit analyst in analyzing credit applicants submitted by members. If the credit analysis is not precise, then the provision of credit funds can be difficult and even make a loss. So to determine whether a loan application can be accepted or not, of course, cooperative management has many multi-criteria considerations. In this study, an analysis was carried out using the Simple Additive Weighting method to facilitate the process of making feasibility decisions and eliminating lending to prospective debtors. The results of the study show that the results of the calculation of the determination of lending funds to members of savings and loan cooperatives using the simple additive weighting method can show alternatives that are eligible to receive loans with a preference value >= 60% and also alternatives that are not eligible to receive loans, namely with a preference value of <= 60%.