Investigating Childhood Stunting and Malnutrition Outcomes in Sukadana and Simpang Hilir, Indonesia

Best of GradCon Award Winner: Poster Presentations - Humanities and Social Sciences Purpose: Infant and child growth is understood as an important indicator of nutritional status and health in populations. Stunting, wasting, and being underweight are the indicators used to measure child growth and reflect nutritional imbalance resulting in undernutrition. The World Health Organization has cited Indonesia as one of five countries that have child stunting higher than both the regional and global averages, making this a priority issue for the government as well as clinics across the country including Alam Sehat Lestari (ASRI) Clinic located in Sukadana, Borneo. The aim of this study is to gain information on the target population to inform a tailored intervention within the capacity and existing programming of the clinic. Methods and Materials: A health assessment survey was implemented in the clinic and in the surrounding community to measure differences in malnutrition outcomes based on household factors, access to quality health care, issues during pregnancy, maternal and child health, breastfeeding and complementary feeding practices, and quality of child diet. Results: Out of a rich variety of results, some factors were associated with higher rates of malnutrition outcomes or were otherwise noteworthy. Rates of stunting and underweight were 32% and 48% respectively in households with smoking exposure in the home compared to 14% and 27% respectively in households with no smoking. There was a difference in rates of stunting and underweight children from mothers who reported having a cough during their pregnancies (31% and 44% respectively) compared to mothers who reported not having a cough (20% and 34% respectively). Additionally, there was a 13% difference in stunting and an 11% difference in wasted and an 11% difference in underweight in children who had a cough in the last month. Although almost all mothers breastfed their child at some point, initiating and maintaining breastfeeding did not always follow best practices. Stunting and underweight were 23% and 15% higher, respectively, in children that received liquids or food other than breastmilk under 6 months compared to those 6 months or older. Additionally, stunting and underweight were 50% and 31% higher, respectively, in children who first received solid foods under 6 months. The majority of mothers did not believe that stunting was an issue in the community or identified specific causes. Mothers also held the belief that a multitude of foods should be avoided during and after pregnancy to prevent convulsions and luge (weak disease). Significance: ASRI Clinic can address childhood stunting and malnutrition outcomes in Sukadana and Simpang Hilir by investing in community education focusing on tobacco cessation, breastfeeding and nutrition. Within the clinic, ASRI can implement policies and procedures to support patients in smoking cessation and best breastfeeding practices. In addition, the clinic can partner with Puskesmas to continue education and monitoring outside of the clinic. Originality: This is the first time that ASRI clinic has investigated malnutrition outcomes in their community and has partnered with the University of Montana to assess a health disparity

The Use of a Functional Electrical Stimulation Bike in an Individual with a Left-sided Stroke: A Case Report

Background: Individuals who have suffered strokes benefit from physical therapy to maximize their function in everyday activities. Research has shown some success using cycling with functional electrical stimulation (FES) as an adjunct treatment in these individuals, but it is not widely used as a standard of care. The purpose of this case report is to describe an example of an individual who received this type of therapy and discuss his experience with the intervention. Case Description: The patient was a 36-year old male who suffered a left-sided stroke. Two weeks later, he was admitted into an inpatient rehabilitation facility. At this time, he required heavy assistance from 1-2 people for all functional mobility. Intervention: After one week of participation in rehabilitation, the patient was set up on a FES bike. This intervention was used 2x/week for 4 weeks in an effort to prime the muscles on his paretic limb. Outcome Measures: The Functional Independence Measure (FIM) was used as the main outcome in this case. The patient had improvements in each of his FIM scores for transfers, walking, and stairs. Discussion: This case report demonstrates that the use of FES cycling is feasible in the acute phase of hemiparesis stroke rehabilitation, even for a patient with significant functional impairments. The intervention was tolerated well, and provided an enjoyable experience for the patient

6LoWPAN in Wireless Sensor Network with IoT in 5G Technology for Network Secure Routing and Energy Efficiency

Today, interconnection and routing protocols must discover the best solution for secure data transformation with a variety of smart devices due to the growing influence of information technology, such as Internet of Things (IoT), in human life. In order to handle routing concerns with regard to new interconnection approaches like the 6LoWPAN protocol, it is required to offer an improved solution. This research propose novel technique in 6LoWPAN network secure routing and energy efficiency (EE) for WSN in IoT application based on 5G technology. Here the energy optimization has been carried out using clustered channel aware least square support vector machine (Cl_CHLSSVM). Then the secure routing has been carried out using fuzzy based Routing Protocol for low-power and Lossy Networks with kernel-particle swarm optimization (Fuz_RPL_KPSO). To serve needs of IoT applications, proposed method is cognizant of both node priorities as well as application priorities. Applications' sending rate allocation is modeled as a constrained optimization issue.Pxperimental analysis is carried out in terms of throughput of 96%, weighted fairness index of 77%, end-to-end delay of 59%, energy consumption of 86%, and buffer dropped packets of 51%

The Impact and Transformation of Artificial Intelligence

There is never a lack of fascinating new research in the field of artificial intelligence, and this study is by no means an exhaustive account of the advancements made in the last ten years. There are numerous fields in AI. A lot of the information covered in this study could be applied to the creation of powerful artificial intelligence. It is essential to create a computer that can understand the underlying meanings of the words since this permits more conversational and accurate translation. Exciting studies are being conducted on the use of audio and visual cues to identify human emotions. In particular, this paper provides a thorough overview of recent developments in the field of artificial intelligence and its applications. A beginner to the subject of artificial intelligence is the target audience for this paper. It also serves to remind the researchers of certain previously mentioned challenges. This review article defines artificial intelligence in general and explores its impact on both the present and the future. This review covers the fundamental concepts of artificial intelligence and machine learning

Adverse Childhood Experiences and Other Risk Factors in a Homeless Youth Population

This quantitative research project sought to explore the relationship between ACE score, homelessness, PTSD and substance use in a homeless youth population. 161 participants, age 18-21, participated in the 29 question survey, with 40% of youth indicating they were currently homeless, and 86% indicating they were homeless in the past. Mean ACE score was 4.15, with an average duration of homelessness of 17.7 months. 48% of the population screened positively for PTSD, and 83% indicated they used substances in the last six months with 39% using marijuana daily. ACE score, rates of PSTD and substance use was found to be higher among youth who had been homeless compared to those who hadn’t been homeless. ACE score was also found to be higher in youth who screened positively for PTSD and used substances. Additionally, participants that identified as LGBTQ or female had higher rates of ACEs, PTSD, and sexual abuse than participants that identified as heterosexual or male. Youth identified as “couch hoppers” were found to be more vulnerable than youth accessing shelters, and equally as vulnerable as those youth staying on the street. These findings indicate a high need for mental health services in the homeless youth field, as well as an increased need for shelter space and long term housing solutions to move youth out of homeless. Agencies working with homeless youth should be urged to adopt trauma informed philosophies, and re-evaluate how needs are assessed with regards to youth who are couch hopping or refusing shelter usage

Different Approach to Secure Data with Fog Computing

Fog computing could be a paradigm that extends cloud computing that has become a reality that made-up the method for brand new model of computing. additionally, fog provides application services to finish terminal within the age of network. The inner information stealing attacks in that a user of a system illegitimately poses because the identity of associate other legitimate user which is an arising new challenge to the service supplier wherever cloud service supplier might not be able to defend the information. therefore, to secure the important user�s sensitive data type the offender within the cloud. In this research paper I am proposing a very distinct approach with the assistance of offensive decoy data technology, that is employed for confirming whether or not the data access is permitted wherever abnormal information is detected andthereby confusing the offender with the fake data

Adverse Childhood Experiences and Other Risk Factors in a Homeless Youth Population

This quantitative research project sought to explore the relationship between ACE score, homelessness, PTSD and substance use in a homeless youth population. 161 participants, age 18-21, participated in the 29 question survey, with 40% of youth indicating they were currently homeless, and 86% indicating they were homeless in the past. Mean ACE score was 4.15, with an average duration of homelessness of 17.7 months. 48% of the population screened positively for PTSD, and 83% indicated they used substances in the last six months with 39% using marijuana daily. ACE score, rates of PSTD and substance use was found to be higher among youth who had been homeless compared to those who hadn\u27t been homeless. ACE score was also found to be higher in youth who screened positively for PTSD and used substances. Additionally, participants that identified as LGBTQ or female had higher rates of ACEs, PTSD, and sexual abuse than participants that identified as heterosexual or male. Youth identified as couch hoppers were found to be more vulnerable than youth accessing shelters, and equally as vulnerable as those youth staying on the street. These findings indicate a high need for mental health services in the homeless youth field, as well as an increased need for shelter space and long term housing solutions to move youth out of homeless. Agencies working with homeless youth should be urged to adopt trauma informed philosophies, and re-evaluate how needs are assessed with regards to youth who are couch hopping or refusing shelter usage

A Caputo Boundary Value Problem in Nabla Fractional Calculus

Boundary value problems have long been of interest in the continuous differential equations context. However, with the advent of new areas like Nabla Fractional Calculus, we may consider such problems in new contexts. In this work, we will consider several right focal boundary value problems, involving a Caputo fractional difference operator, in the Nabla Fractional Calculus context. Properties of the Green\u27s functions for each of these boundary value problems will be investigated and, in the case of a particular boundary value problem, used to establish the existence of positive solutions to a nonlinear version of the boundary value problem. Adviser: Allan C. Peterso

IOT based Security System for Auto Identifying Unlawful Activities using Biometric and Aadhar Card

In today’s era, where thefts are consecutively increasing, especially in banks, jewelry shops, stores, ATMs, etc, there is a need to either develop a new system or to improve the existing system, due to which the security in these areas can be enhanced. However, the traditional methods (CCTV cameras, alarm buttons) to handle the security issues in these areas are still available, but they have lots of limitations and drawbacks. So, in order to handle the security issues, this paper describes how the biometric and IoT (Internet of Things) techniques can greatly improve the existing traditional security system. Our proposed system uses biometric authentication using the fingerprint and iris pattern with the strength of IoT sensors, microcontroller and UIDAI aadhar server to enhance the security model and to cut the need of keeping extra employees in monitoring the security system