Contributing Factors to Under-Five Child Malnutrition in Rural Bangladesh

Background and objectives: Bangladesh has the highest malnutrition rates in the world. The main objective of this study is to identify and determine the main factors for child malnutrition among children under the age 5 years in rural Bangladesh. Material and methods: This research was conducted in rural areas at Meherpur district in Bangladesh. Convenience sampling method is used and 85 under 5 child information is collected through a structured questionnaire. The information’s of child’s are gathered from the mothers of the child. Malnourished children is measured by using APLS method and WHO Child Growth Standard Median Index. Binary logistic regression model is used to find out the key factors of malnutrition. Results: It is found that family income, maintain proper diet during pregnancy period, proper diet maintain for children have negative significant (p\u3c0.05) effect on child malnutrition. Conclusion: The magnitude of the child’s malnutrition still is of great concern in Bangladesh. Since, poverty, imbalanced diet during pregnancy period and imbalanced diet for under 5 children influences to malnutrition are significantly associated with high prevalence of malnutrition, so government and people should reduce these factor to reduce malnutrition in rural area of Bangladesh

Applications of Machine Learning for Fake News Detection in Social Networks

The value of online media for getting news is questionable. People seek out and devour news from online media because it is convenient, inexpensive, and widely disseminated. In contrast, it facilitates the widespread distribution of "counterfeit news," or news of lower quality that includes fabricated data. Many people and institutions are negatively impacted by the widespread circulation of false information. As a result, detecting fake news via social media has emerged as a topic of interest for academics. Searching for and reading the news is becoming increasingly convenient as a result of the widespread availability, quick expansion, and widespread dissemination of traditional news outlets and social media. Nowadays, there is a plethora of information that can be found on social media, and it can be difficult to tell what is real and what is not. The distribution costs of releasing news via social media are inexpensive, and anyone can do it. The widespread circulation of false information could have devastating effects on both individuals and communities. Developing a reliable machine learning method for spotting fake news is the focus of this work

Damage identification in a concrete beam using curvature difference ratio

Previous studies utilising changes in mode shape or curvature to locate damage rely on the fact that the greatest change occurs around the defect. However, in concrete beams this fact is undermined due to the nature of the defect as distributed multi-site cracks. In addition, differences in mode shape and curvature as ways to locate the damage is unstable because of occurrence of modal nodes and inflection points. In this paper, one interesting solution to this problem is being tested by establishing a new non-dimensional expression designated the 'Curvature Difference Ratio (CDR)'. This parameter exploits the ratio of differences in curvature of a specific mode shape for a damaged stage and another reference stage. The expression CDR is reasonably used to locate the damage and estimate the dynamic bending stiffness in a successively loaded 6m concrete beam. Results obtained by the proposed technique are tested and validated with a case study results done by Ren and De Roeck [1] also by Maeck and De Roeck [2]. Another contribution of this work is that relating changes in vibration properties to the design bending moment at beam sections as defined in Eurocode 2 specifications [3]. Linking between a beam section condition and the change in vibration data will help to give a better comprehension on the beam condition than the applied load

Gas Hold-Up and Volumetric Liquid-Phase Mass Transfer Coefficient In Solid-Suspended Bubble Columns With Draught Tube

The solid suspended-bubble columns with draught tube are widely used as a threephaseslurry reactor in industrial chemical process such as absorption, biochemicalreactions, coal liquefaction. etc. To design such a column the average gas holdup ( g e )and the volumetric liquid-phase mass transfer coefficient (KLa) should be known. Thisstudy includes the effect of gas velocity, liquid-phase properties, solid-particlesconcentration and the static liquid height on both ( g e ) and (KLa). It was found thatboth ( g e ) and (KLa) increase with increasing gas velocity and decrease with increasingsolid particles concentration, static liquid height, viscosity and surface tension ofliquid-phase

An energy efficient interference-aware routing protocol for underwater WSNs

Interference-aware routing protocol design for underwater wireless sensor networks (UWSNs) is one of the key strategies in reducing packet loss in the highly hostile underwater environment. The reduced interference causes efficient utilization of the limited battery power of the sensor nodes that, in consequence, prolongs the entire network lifetime. In this paper, we propose an energy-efficient interference-aware routing (EEIAR) protocol for UWSNs. A sender node selects the best relay node in its neighborhood with the lowest depth and the least number of neighbors. Combination of the two routing metrics ensures that data packets are forwarded along the least interference paths to reach the final destination. The proposed work is unique in that it does not require the full dimensional localization information of sensor nodes and the network total depth is segmented to identify source, relay and neighbor nodes. Simulation results reveal better performance of the scheme than the counterparts DBR and EEDBR techniques in terms of energy efficiency, packet delivery ratio and end-to-end delay

The relation between calcaneus stiffness index as a measure of bone density and body mass index in an Egyptian cohort

Background: Obesity and osteoporosis are two conditions that are associated with morbidity and mortality; there is contradictory evidence regarding this association. Purpose: The aim of the current study was to explore further the association between obesity and calcaneus stiffness index (CSI), as a measure of bone density, in a community-based cross-sectional study in an Egyptian population. Methods: A cross-sectional study was conducted among active subjects, aged ≥20 years old, over one year. CSI was measured by Quantitative ultrasound (QUS), in addition; QUS T-score and Z-score of the non-dominant heel scan were recorded. Results: Two hundred and eighty participants were recruited; 7 subjects were excluded because of Z score more than −2, mean age was 61 (± 11.9) years, and mean BMI was 29.7 (±5.6). Female participants were 77.7%, with mean of age 60.3 (± 11.6); and age range 20–82 years. Male participants were 22.3%, with mean of age 63.6 (± 12.7); and age range 30–80 years. Older subjects (>55 years) had significantly lower CSI and worse T-score than the younger subjects (P < 0.001 for both). In the younger age group, BMI was not significantly associated with CSI, even after adjustment for gender (P= 0.52). However, in the older age group, BMI was significantly associated with stiffness index (P= 0.049, O.R.= 1.73), even after adjustment for gender (P= 0.041, O.R.= 1.7). Conclusion: Compared to young subjects, older subjects (≥55 years) had significantly lower bone strength as measured by CSI, and their BMI was significantly positively associated with bone density. In younger people (<55 years), BMI was not associated with bone strength

Analysis on Wearable Antenna Performance on Different Radiating Elements for GPS Application

This paper presents a study on the performance of self-manufactured electro-textile (SME-T) antenna that was designed at 1.575 GHz based on the allocated spectrum for Global Positioning System (GPS) application. However, due to its known low-conductivity characteristic, the ability of the newly developed material to perform as a good antenna shall be verified. Therefore, the performance of the antennas are compared and studied with respect to established materials such as adhesive copper tape and commercial conductive fabric named SHIELDITTM as the radiating elements. Here, four e-textile antennas having approximately the same size are fabricated and tested. The performance of all antennas, in terms of return loss, radiation pattern, gain, and efficiency; manufactured by using different radiating elements, such as copper, SHIELDITTM and SME-T fabricated on polyester fabric as the substrate are analyzed. The measured return loss and radiation pattern of SME-T antenna has proven that the antenna is well suited for wearable application. The measured antenna gain and efficiency of 0.61 dB and 25.95% are obtained and it is proven that the fabricated SME-T antenna can act as a receiving antenna designed for GPS applications which requires low gain antenna for passive monitoring

Effectiveness of counseling for anxiety and depression in mothers of children ages 0-30 months by community workers in Karachi, Pakistan: a quasi experimental study

<p>Abstract</p> <p>Background</p> <p>The prevalence of anxiety/depression is quite high during the perinatal period but unfortunately its detection and treatment have been less than satisfactory. Moreover, many women are reluctant to take pharmacotherapy for fear of excretion of drugs into their breast milk. This study assesses the effectiveness of counseling from minimally trained community health workers in reducing anxiety/depression, the rate of recurrence and the interval preceding recurrence in women during first two and a half years after childbirth.</p> <p>Methods</p> <p>In a quasi-experimental study, community women from two under-privileged communities were trained in data gathering, teaching healthy child-rearing practices, basic counseling skills, and screening for anxiety/depression by using an indigenously developed questionnaire, the Aga Khan University Anxiety and Depression Scale (AKUADS). The diagnosis was further confirmed by a clinical psychologist using DSM IV criteria. After obtaining consent, 420 women were screened and 102 were identified as having anxiety/depression. Screening was carried out after 1, 2, 6, 12, 18, 24 and 30 months of a live birth. Only 62 out of 102 agreed to be counseled and received eight weekly sessions. AKUADS was re-administered at 4 weeks and 8 weeks after the beginning of counseling; this was followed by the clinical psychologist's interview for confirmation of response. After recovery, screening was continued every 3 months for detection of recurrence throughout the study period. Out of the women who had declined counseling 12 agreed to retake AKUADS after 4 and 8 weeks of diagnosis. Independent samples t-test, chi-square test, Repeated Measures ANOVA and Kaplan Meier technique were used for the analysis.</p> <p>Results</p> <p>A significant decline in level of anxiety/depression was found in both the counseled and the non-counseled groups at 4 and 8 weeks (p-value < 0.001) but the counseled group fared better than the non-counseled for recovery, reduction in the rate of recurrence and increase in the duration before relapse.</p> <p>Conclusions</p> <p>As our results cannot be generalized; further studies need to be carried out, to assess the benefit of incorporating minimal counseling skills in the training of community health workers.</p