Risk Factors of Wasting-Based Malnutrition in the Flood-Affected Areas of Pakistan: A Cross-Sectional Study.

The current study aimed to find the risk factors of wasting in flood-affected areas of Khyber Pakhtunkhwa, Pakistan. Sociodemographic and anthropometric data was collected. Children living in large family are 2.59 times more likely to be wasted (AOR = 2.59, 95% confidence interval (CI): 1.10, 6.10; p value = .029) and children living in medium size family are 2.23 times more likely to be wasted (AOR = 2.23, 95% CI: 1.03, 4.80; p value = .04) as compared to children in small family size. The study underscores the need for targeted interventions to address the identified risk factors and mitigate the impact of flooding on child nutrition.

Alarming multidrug resistance in Staphylococcus aureus isolated from raw milk of cows with subclinical mastitis: Antibiotic resistance patterns and occurrence of selected resistance genes.

Bovine mastitis is a widespread and costly disease that affects dairy farming globally, characterized by mammary gland inflammation. Bovine intramammary gland infection has been associated with more than 135 different pathogens of which Staphylococcus aureus is the main etiology of sub-clinical mastitis (SCM). The current study was designed to investigate the prevalence, antibiotic resistance pattern, and the presence of antibiotic resistance genes (mecA, tetK, aacA-aphD and blaZ) in S. aureus isolated from the raw milk of cows with subclinical mastitis. A total of 543 milk samples were collected from lactating cows such as Holstein Friesian (n = 79), Sahiwal (n = 175), Cholistani (n = 107), and Red Sindhi (n = 182) from different dairy farms in Pakistan. From the milk samples microscopic slides were prepared and the somatic cell count was assessed to find SCM. To isolate and identify S. aureus, milk was streaked on mannitol salt agar (MSA) plates. Further confirmation was done based on biochemical assays, including gram staining (+ coccus), catalase test (+), and coagulase test (+). All the biochemically confirmed S. aureus isolates were molecularly identified using the thermonuclease (nuc) gene. The antibiotic resistance pattern of all the S. aureus isolates was evaluated through the disc diffusion method. Out of 543 milk samples, 310 (57.09%) were positive for SCM. Among the SCM-positive samples, S. aureus was detected in 30.32% (94/310) samples. Out of 94 isolates, 47 (50%) were determined to be multidrug resistant (MDR). Among these MDR isolates, 11 exhibited resistance to Cefoxitin, and hence were classified as methicillin-resistant Staphylococcus aureus (MRSA). The S. aureus isolates showed the highest resistance to Lincomycin (84.04%) followed by Ampicillin (45.74%), while the least resistance was shown to Sulfamethoxazole/Trimethoprim (3.19%) and Gentamycin (6.38%). Polymerase chain reaction (PCR) analysis revealed that 55.31% of the isolates carried blaZ gene, 46.80% carried tetK gene, 17.02% harbored the mecA gene, whereas, aacA-aphD gene was found in 13.82% samples. Our findings revealed a significant level of contamination of milk with S. aureus and half (50%) of the isolates were MDR. The isolated S. aureus harbored various antibiotic resistance genes responsible for the absorbed phenotypic resistance. The alarmingly high prevalence of MDR S. aureus isolates and MRSA strains in these cases possess a serious risk to public health, emphasizes the urgent need to address this issue to protect both human and animal health in Pakistan.

Determinants of Diarrhea Among Children Aged 1 to 6 Years in Flood-Affected Areas of Pakistan: A Cross-Sectional Study.

Frequent floods can contribute to the spread of various diseases and complications, some of which may result in diarrhea, especially among children. The current study aimed to find the determinants of diarrhea among children aged 1-6 years in flood-affected areas in Khyber Pakhtunkhwa, Pakistan. A cross-sectional study was conducted in flood-affected districts. Data regarding sociodemographic information related to diarrhea and anthropometric data were collected through a validated questionnaire. Logistic regression was used to find the determinants of diarrhea. In the presence of diarrhea, the prevalences found of stunting, wasting, and being underweight were 75.2%, 76.5%, and 74.1%, respectively, which is higher than those in children without diarrhea (stunting, 24.8%; wasting, 23.5%; and being underweight, 25.9%). In bivariate regression, children aged 2-4 years (odds ratio [OR] = 1.65, P < 0.05), large family size (OR = 7.46, P < 0.01), low income (OR = 2.55, < 0.001), bathing in ponds (OR = 3.05, P < 0.05), drinking of untreated water (OR = 3, P < 0.05), flooding (OR = 1.8, P < 0.05), children living in mud houses (OR = 1.5, P < 0.05), and usage of utensils without lids (OR = 1.96, P < 0.001) were significantly associated with occurrence of diarrhea. In multivariate regression, the identified risk factors (P < 0.05) for diarrhea in flood-affected areas included illiterate mothers, flooding, large family size, households without livestock, poor water quality, untreated water, and lack of toilet facilities. In conclusion, addressing the determinants of diarrhea identified in this study is crucial for mitigating the impact of frequent floods on children in flood-affected areas. Moreover, the higher prevalence of malnutrition underscores the urgent need for comprehensive strategies and proper water, sanitation, and hygiene programs to reduce the occurrence and determinants of diarrhea.

Coordination strategies and concept of operations implemented during activation of public health emergency operations center for COVID-19 response in Pakistan.

Public health emergency management systems encountered difficulties in developing countries, especially in Pakistan. The COVID-19 pandemic was extremely challenging for different agencies/departments in Pakistan. Health emergency management depends on a well-established public health emergency operations center that could generate a coordinated response to emergencies. We conducted an assessment of public health emergency response coordination implemented during the COVID-19 at strategic level. This was mix-method qualitative study. Primary data was collected by using a structured questionnaire, and secondary data was collected by desk review. The agencies engaged in pandemic response at the national level in Pakistan were included in the assessment. The overall score of the emergency response coordination system during COVID-19 was 49% for all agencies. We found that agencies faced challenges in leadership, legislation, and financing issues during the pandemic response (44%). None of the agencies had a fully developed framework for joint planning and response system for health emergencies. Roles and responsibilities attached to designated agencies in response were relatively clear (55%) for most of the agencies. Effective public health emergency response is based on multi-departmental coordination, resource mobilization, and clear roles for each agency. Pakistan must proactively address these challenges for pandemic response in future.

Nutritional composition, health benefits and bio-active compounds of chickpea (Cicer arietinum L.).

Chickpea (Cicer arietinum L.), an annual plant of the family Fabaceae is mainly grown in semiarid and temperate regions. Among pulses, cultivated worldwide chickpeas are considered an inexpensive and rich source of protein. Chickpea is a good source of protein and carbohydrate, fiber, and important source of essential minerals and vitamins. The quality of protein is better among other pulses. Consumption of chickpeas is related to beneficial health outcomes. Dietary peptides from the protein of chickpeas gaining more attention. Peptides can be obtained through acid, alkali, and enzymatic hydrolysis. Among all these, enzymatic hydrolysis is considered safe. Various enzymes are used for the production of peptides, i.e., flavorzyme, chymotrypsin, pepsin, alcalase, papain, and trypsin either alone or in combinations. Chickpea hydrolysate and peptides have various bioactivity including angiotensin 1-converting enzyme inhibition, digestive diseases, hypocholesterolemic, CVD, antioxidant activity, type 2 diabetes, anti-inflammatory, antimicrobial, and anticarcinogenic activity. This review summarizes the nutritional composition and bioactivity of hydrolysate and peptides obtained from chickpea protein. The literature shows that chickpea peptides and hydrolysate have various functional activities. But due to the limited research and technology, the sequences of peptides are unknown, due to which it is difficult to conduct the mechanism studies that how these peptides interact. Therefore, emphasis must be given to the optimization of the production of chickpea bioactive peptides, in vivo studies of chickpea bioactivity, and conducting human study trials to check the bioactivity of these peptides and hydrolysate.

Physiological and Germination Responses of Muskmelon (Cucumis melo L.) Seeds to Varying Osmotic Potentials and Cardinal Temperatures via a Hydrothermal Time Model.

Climatic changes have a direct negative impact on the growth, development, and productivity of crops. The water potential (ψ) and temperature (T) are important limiting factors that influence the rate of seed germination and growth indices. To examine how the germination of seed responds to changes in water potential and temperature, the hydrotime model and hydrothermal model (HTT) have been employed. The HTT calculates the concept of germination time across temperatures, between Tb-To, with alteration, and between Tb-Tc, in supra-optimal ranges. The seeds of Cucumis melo L. were germinated in the laboratory for a hydro-thermal time experiment. Seeds were sown in Petri dishes containing a double-layered filter paper at different osmotic potentials (0, -0.2, -0.4, -0.6, and -0.8 MPa) by providing PEG 6000 (drought stress enhancer) at different temperatures (15, 20, 25, 30, and 35 °C). The controlled replicate was treated with 10 mL of distilled water and the rest with 10 mL of PEG solution. Results indicated that the seed vigor index (SVI-II) was highest at 15 °C with 0 MPa and lowest at 30 °C with -0.2 MPa. However, the highest activity was shown at 15 °C by catalase (CAT) and guaiacol peroxidase (GPX) at (-0.6 MPa), while the lowest values of CAT and GPX were recorded for control at 35 °C with -0.8 MPa at 35 °C, respectively. Germination energy was positively correlated with germination index (GI), germination percentage (G%), germination rate index, seed vigor index-I (SVI-I), mean moisture content (MMC), and root shoot ratio (RSR) and had a negative correlation with mean germination rate, percent moisture content of shoot and root, CAT, superoxide dismutase, peroxidase ascorbate peroxidase, and GPX. In conclusion, thermal and hydrotime models correctly predicted muskmelon germination time in response to varying water potential and temperature. The agronomic attributes were found to be maximum at 30 °C and minimum at 15 °C.

Assessment of Infection Prevention and Control (IPC) Implementation and Strategies Used for IPC Preparedness at Facility Level in Underdeveloped Areas of Pakistan.

Background: During outbreaks of infectious diseases like COVID-19, the healthcare-associated infections (HCAIs) pose a burden on public health system. There are very limited data about infection prevention and control (IPC) implementation in the healthcare facilities of Pakistan. The aim of the study was to conduct assessment with the IPC Assessment Framework (IPCAF) tool in healthcare facilities of the least developed areas. Methods: A cross-sectional survey was conducted in 12 tertiary level healthcare facilities (HCF) located in the least developed provinces of Pakistan. The facilities were selected through multistage cluster random methods. A well-structured questionnaire, the "IPCAF tool", was used for data collection. The IPCAF comprises eight sections with a 100 score of each section, thus with a maximum score of 800. The scores from 0 to 800 of the HCFs were divided into four gradual ratings through IPCAF, ie from inadequate to advanced. Results: The median score of all facilities was 405, with a range from inadequate to advanced. One facility (8.3%) fell into the "inadequate" category with a score of 172.5; 5 (41.6%) facilities achieved "basic" category, another 5 (41.6%) being "intermediate", and only one (8.3%) hospital achieved "advanced" status. Region-wise median score of facilities of GB was 307.5, facilities in AJK scored 342.5, and a score of 520 was found for health facilities in KPK. The components of Education and Training, HCAIs Surveillance, and Multimodal Strategies achieved the lowest scores. Conclusion: Most of the facilities have developed an IPC program with key focal persons and IPC committees, but did not have relevant education and training. IPC core capacities are being implemented. Equitable attention is required on all eight components of IPC in all facilities.

Modeling the effect of climatic conditions and topography on malaria incidence using Poisson regression: a Retrospective study in Bannu, Khyber Pakhtunkhwa, Pakistan.

Background: Malaria has been identified as a crucial vector-borne disease around the globe. The primary aim of this study was to investigate the incidence of malaria in the district of Bannu and its relationship with climatic conditions such as temperature, rainfall, relative humidity, and topography. Methods: Secondary data were obtained from the metrological office and government hospitals across the district for 5 years (2013-2017). A Poisson regression model was applied for the statistical analysis. Results and discussion: The number of reported cases of malaria was 175,198. The regression analysis showed that temperature, relative humidity, and rainfall had a significant association (p < 0.05) with malaria incidence. In addition, the topographic variables were significantly associated (p < 0.05) with malaria incidence in the region. The percent variation in the odds ratio of incidence was 4% for every unit increase in temperature and 2% in humidity. In conclusion, this study indicated that the temperature, humidity, rainfall, and topographic variables were significantly associated with the incidence of malaria. Effective malaria control and interventions integrated with climatic factors must be considered to overcome the disease burden.

Do Hypertensive Disorders of Pregnancy and Abnormal Placentation Mediate the Association between Advanced Maternal Age and Adverse Perinatal Outcomes?

Background: A tertiary-hospital-based retrospective study (2011-2019) was conducted to determine the mediating role of hypertensive disorders of pregnancy and abnormal placentations between advanced maternal age and adverse neonatal outcomes. Methods: Data from a tertiary-hospital-based retrospective study (n= 23051) was used and conducted regression-based mediation analysis to assess the mediating role of hypertensive disorders of pregnancy and abnormal placentation between the advanced maternal age and adverse neonatal outcomes. Results: After adjusting for confounding factors, the indirect effect of advanced maternal age on preterm births, perinatal mortality, and low birth weight mediated by hypertensive disorders of pregnancy was [aOR 4.95 (95% CI: 4.05, 5.85)], [aOR 2.82 (95% CI: 1.78, 3.86)], and [aOR 5.90 (95% CI: 4.93, 6.87)], respectively. The indirect effect of advanced maternal age on preterm births and low birth weight mediated by abnormal placentation was [aOR 6.83 (95% CI: 5.70, 7.97)] and [aOR 4.18 (95% CI: 3.26, 5.11)]. About, 23%, 37%, and 17% of the effect of advanced maternal age on preterm births, perinatal mortality, and low birth weight was mediated by hypertensive disorders of pregnancy, respectively. Furthermore, abnormal placentation mediates the association between advanced maternal age and preterm births by 18% and low birth weight by 23%. Conclusion: Hypertensive disorders of pregnancy and abnormal placentation partially mediate the association between advanced maternal age and adverse neonatal outcomes.

Changes in adverse pregnancy outcomes in women with advanced maternal age (AMA) after the enactment of China's universal two-child policy.

The universal two-child policy (TCP; 2016) in China has affected many aspects of maternal-neonatal health. A tertiary hospital-based retrospective study (2011-2019) was used to find the association of these policy changes with maternal age and pregnancy outcomes in women with AMA (≥ 35 years) in the Hubei Province, China. The proportion of neonatal births to women with AMA increased by 68.8% from 12.5% in the one-child policy (OCP) period to 21.1% in the universal TCP period [aOR 1.76 (95% CI: 1.60, 1.93)]. In the univariate analysis, the proportion of preterm births (29.4% to 24.1%), low birth weight (LBW) (20.9% to 15.9%), and hypertensive disorders of pregnancy (HDP) (11.5% to 9.2%) significantly (p < 0.05) decreased in women with AMA from the OCP period to universal TCP period. However, the proportion of intrauterine growth restriction (IUGR) (0.2% to 0.7%) and gestational diabetes mellitus (GDM) (1.7% to 15.6%) was significantly (p < 0.05) increased over the policy changes. After adjusting for confounding factors, only the risk of GDM increased [aOR 10.91 (95% CI: 6.05, 19.67)] in women with AMA from the OCP period to the universal TCP period. In conclusion, the risk of GDM increased in women with AMA from the OCP period to the universal TCP period.

Preparedness to Combat Determinants of Underweight-Based Child Malnutrition in Flood-Affected Areas of Pakistan.

AIMS: Floods badly impact the food and nutrition security in developing countries. The role of the government and the impact of floods on the underweight status of children in the affected areas is not clear. We aimed to find the determinants of underweight in flood-affected areas of Khyber Pakhtunkhwa, Pakistan. METHODS: We used a multistage sampling technique and selected 656 households during in the flood-affected areas of Pakistan. Data were collected in the three most affected districts. A validated questionnaire was used to find socioeconomic and demographic information, hygiene, and sanitation information. We used logistic regression to find the determinants of underweight, controlling for confounders. RESULTS: The prevalence of global malnutrition based on underweight was 25.2%. The prevalence of underweight was higher in young age mothers (40.6%), younger age children (71.4%), large family size (28.4%), joint family (27%), and no toilet facility (28.9%). District Nowshera was at high risk of underweight based undernutrition, followed by district Charsadda compared to children belonging to Dera Ismail Khan. The significant risk factor that causes underweight was child lower age (p < 0.01), young age of mothers (p < 0.01), children access to unimproved water sources (p < 0.01), and location (districts) due to environmental and constant flood consequences (p < 0.01). CONCLUSION: In conclusion, risk factors of underweight should be appropriately targeted in the flood-hit areas of Pakistan. Governments should preallocate budgetary resources and enhance the emergency preparedness levels to facilitate the communities with flooding incidents and their aftermath in the shape of child underweight-based malnutrition.

Brain-protective mechanisms of autophagy associated circRNAs: Kick starting self-cleaning mode in brain cells via circRNAs as a potential therapeutic approach for neurodegenerative diseases.

Altered autophagy is a hallmark of neurodegeneration but how autophagy is regulated in the brain and dysfunctional autophagy leads to neuronal death has remained cryptic. Being a key cellular waste-recycling and housekeeping system, autophagy is implicated in a range of brain disorders and altering autophagy flux could be an effective therapeutic strategy and has the potential for clinical applications down the road. Tight regulation of proteins and organelles in order to meet the needs of complex neuronal physiology suggests that there is distinct regulatory pattern of neuronal autophagy as compared to non-neuronal cells and nervous system might have its own separate regulator of autophagy. Evidence has shown that circRNAs participates in the biological processes of autophagosome assembly. The regulatory networks between circRNAs, autophagy, and neurodegeneration remains unknown and warrants further investigation. Understanding the interplay between autophagy, circRNAs and neurodegeneration requires a knowledge of the multiple steps and regulatory interactions involved in the autophagy pathway which might provide a valuable resource for the diagnosis and therapy of neurodegenerative diseases. In this review, we aimed to summarize the latest studies on the role of brain-protective mechanisms of autophagy associated circRNAs in neurodegenerative diseases (including Alzheimer's disease, Parkinson's disease, Huntington's disease, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, and Friedreich's ataxia) and how this knowledge can be leveraged for the development of novel therapeutics against them. Autophagy stimulation might be potential one-size-fits-all therapy for neurodegenerative disease as per considerable body of evidence, therefore future research on brain-protective mechanisms of autophagy associated circRNAs will illuminate an important feature of nervous system biology and will open the door to new approaches for treating neurodegenerative diseases.

Risk factors for eating disorders among Chinese and international university students: a comparative cross-sectional study.

OBJECTIVE: The aim of the study was to investigate the prevalence of eating disorders (EDs) and their association with socio-demographic and behavioural factors among university students. METHODS: A cross-sectional study among university students (Chinese and international) in Nanjing, China. We collected the data from 877 students, of which 811 were eligible for this study. They submitted a self-administered questionnaire (Eating Disorder Examination Questionnaire 6 (EDE-Q6) related to socio-demographic, health variables and lifestyle factors. Data were assessed with the help of SPSS software. RESULTS: A total of 401 Chinese and 410 international university students (49.44% vs. 50.55%) participated in this study. Binary logistic regression showed that young female adults of 18~25 years of age had more risk of developing eating disorders. Higher body mass index (BMI), such as overweight and obesity, were more influential risk factors (p < 0.001) for eating disorders. The significant risks (p < 0.001) EDs were found in students who were athletes, physically active, and involved in various extra-curricular activities. Alcohol and smoking were significant risk factors associated with eating disorders. CONCLUSION: The results indicated higher risks of eating disorders followed by objective binge eating and compensatory behaviour. In this scenario, early assessment and treatment are necessary to reduce the burden of eating disorders and to promote good nutritional practices among university students.

Atrous Convolutions and Residual GRU Based Architecture for Matching Power Demand with Supply.

Nowadays, for efficient energy management, local demand-supply matching in power grid is emerging research domain. However, energy demand is increasing day by day in many countries due to rapid growth of the population and most of their work being reliant on electronic devices. This problem has highlighted the significance of effectively matching power demand with supply for optimal energy management. To resolve this issue, we present an intelligent deep learning framework that integrates Atrous Convolutional Layers (ACL) with Residual Gated Recurrent Units (RGRU) to establish balance between the demand and supply. Moreover, it accurately predicts short-term energy and delivers a systematic method of communication between consumers and energy distributors as well. To cope with the varying nature of electricity data, first data acquisition step is performed where data are collected from various sources such as smart meters and solar plants. In the second step a pre-processing method is applied on raw data to normalize and clean the data. Next, the refined data are passed to ACL for spatial feature extraction. Finally, a sequential learning model RGRU is used that learns from complicated patterns for the final output. The proposed model obtains the smallest values of Mean Square Error (MSE) including 0.1753, 0.0001, 0.0177 over IHEPC, KCB, and Solar datasets, respectively, which manifests better performance as compared to existing approaches.

Prevalence of Micronutrient Deficiencies among Preschool and School-Going Children in Flood-Hit Areas of Pakistan.

There is minimal literature regarding micronutrient deficiencies in flood-affected regions. In our study, we aimed to find the prevalence of micronutrient deficiencies (vitamin A, calcium, zinc, iron, and iodine) among preschool and school-age children in flood-hit areas of Khyber Pakhtunkhwa, Pakistan. In this cross-sectional study, a multi-stage sampling technique was used for the selection of 656 households. Serum micronutrient status was detected in the targeted population in the affected districts. The least significant difference test was used with analysis of variance to determine significant differences in nutrient contents in different areas. Of the total respondents, 90.8% of the children were calcium deficient, 88.3% were zinc deficient, 26.7% were iron deficient, 53.5% were vitamin A deficient, and 39.5% were had an iodine deficiency in flood-affected areas. A significant difference (P < 0.05) was found in different age groups of children for zinc (5.7-42.63 µg/dL) and urinary iodine (69.6-85.4 µg/L). The 10- to 12-year-old age group had a lower serum zinc concentration (5.7 µg/dL), whereas the 1- to 3-year-old age group had a lower urinary iodine concentration (69.6 µg/L) than other groups. There was no significant difference (P > 0.05) between male and female children and various age groups for calcium and iron status. Vitamin A levels were significantly (P < 0.05) different among different age groups (high in age group 4-6 years) and districts. Vitamin A concentration was lower in the Nowshera District, whereas serum iron and zinc were lower in the Dera Ismail Khan District. All the important micronutrients in the population of children were deficient in the flood-affected areas of Pakistan. Therefore, policymakers should implement potential prevention strategies, such as food security, school health nutrition, food fortification, nutrition in the first 1,000 golden days, nutrition knowledge, and awareness of the local population, to reduce the burden of micronutrients deficiencies in flood-affected areas.

Movement is Improvement: The Therapeutic Effects of Exercise and General Physical Activity on Glycemic Control in Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Exercise is considered a cornerstone in achieving an optimized blood glucose level and reducing body weight, body mass index (BMI), and waist circumference. This study aimed to investigate and quantitatively summarize the literature regarding the therapeutic effects of exercise and general physical activity on glycemic control. METHODS: A systematic review and meta-analysis of the literature on the therapeutic effects of exercise on glycemic control in patients with type 2 diabetes mellitus (type 2 DM) were conducted using electronic databases. Studies with an exercise intervention lasting more than 8 weeks were included. Both qualitative and quantitative analyses were performed. Qualitative data were presented narratively in table form. Quantitative analysis was performed using a random-effects model with a 95% confidence interval and a significance level of 0.05. The Physiotherapy Evidence Database (PEDro) scale and the Cochrane Risk of Bias 2 (RoB2) tool were used to assess the quality of evidence and the risk of bias. RESULTS: A total of 21,559 articles were identified through different databases. Out of 21559 studies, only 32 randomized controlled trials were deemed eligible for inclusion in this study. The average exercise session was 45.15 min, while the average follow-up duration was 21.94 weeks. The mean exercise frequency according to our findings was 3.25 days/week. Almost all the studies reported decreases in glycated hemoglobin (HbA1c; P < 0.0001), fasting blood glucose (P = 0.03), BMI (P = 0.04), and waist circumference (P = 0.007) after the exercise intervention. CONCLUSION: Exercise plays an important role in optimizing glycemic control and improving quality of life (QoL), BMI, and waist circumference in type 2 DM patients. Exercise could be a safe adjunct therapy to medical treatments in these patients. REGISTRATION: PROSPERO: CRD42020210816.

Risk Factors of Mid-upper Arm Circumference (MUAC) Based Child Malnutrition in the Flood-affected Areas of Pakistan: A Cross-sectional Study.

Low- and middle-income countries are usually at high risk of malnutrition. Not only that but the prevalence of malnutrition is much higher. It is important to evaluate the determinants of malnutrition in flood-affected areas of Pakistan. The present study examined the prevalence and risk factors of MUAC-based child malnutrition in flood-hit regions of Khyber Pakhtunkhwa, Pakistan. Multi-stage sampling was employed to select 656 households. Finally, 298 children of 6-59 months were selected. MUAC, an independent anthropometric parameter, was used to investigate the nutritional status of children. An automated logistic regression model was used to identify the risk factors of MUAC-based malnutrition. The prevalence of MUAC-based malnutrition was found 46%, including 40.5% females and 52.1% males. More than 90% of people had improved water quality and soap hand washing facility. Almost 17% of respondents had no toilet facility. Through automated logistic model, child age, maternal age, family size, income level, mother education, water quality, toilet facility were the significant determinants (P < .05) of MUAC-based undernutrition in flood affecting the area. The findings suggest that MUAC-based malnutrition can be minimized in flood-hit areas by targeting the listed risk factors. Community-based awareness programs regarding guidance on nutrition might be a key to reducing malnutrition in the target areas.

Neurological Complications Of Hand, Foot And Mouth Disease In Children: A Review.

BACKGROUND: Hand-Foot-and-Mouth disease (HFMD) is a viral illness commonly seen in young children, characterized by fever, vomiting, ulcerative lesions in oral mucosa, and vesicles on hands and feet. The early symptoms resolve but sometimes, it leads to more harsh neurological complications and even death. Therefore, the objective of this review was set to provide an overview of the symptoms, pathogenic agents, and treatment of neurological complications associated with HFMD. METHODS: We reviewed literature from PubMed and Science Direct covering at least one of our objectives from inception to 4th March 2018. RESULTS: This review represents 6 countries including China, Vietnam, Cambodia, South Korea, Taiwan, and Australia. Fifteen studies with a total of 1043 patients were included. The majority of HFMD cases with neurological complications were reported in China, predominance in boys as compared to girls, with 97% cases under 15 years of age. Meningoencephalitis and brainstem encephalitis contributed 70% of all neurological complications related to HFMD. Human Enterovirus71 genotype C, especially C4a was a causative agent associated with severe complications. Among symptoms, fever, vomiting, myoclonic jerks or seizure, headache, convulsion, and rashes were reported in almost all neurological complications. The common and supportive treatments were the administration of intravenous immunoglobulin and glucocorticoid therapies. CONCLUSIONS: Early detection and appropriate treatment of severe neurological complications can minimize the risk of adverse health outcomes. Evidence based clinical practice guidelines for early detection and treatment would be significant in the management of these devastating neurological complications.

Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model.

In the current technological era, energy-efficient buildings have a significant research body due to increasing concerns about energy consumption and its environmental impact. Designing an appropriate energy-efficient building depends on its layout, such as relative compactness, overall area, height, orientation, and distribution of the glazing area. These factors directly influence the cooling load (CL) and heating load (HL) of residential buildings. An accurate prediction of these load facilitates a better management of energy consumption and enhances the living standards of inhabitants. Most of the traditional machine learning (ML)-based approaches are designed for single-output (SO) prediction, which is a tedious task due to separate training processes for each output with low performance. In addition, these approaches have a high level of nonlinearity between input and output, which need more enhancement in terms of robustness, predictability, and generalization. To tackle these issues, we propose a novel framework based on gated recurrent unit (GRU) that reliably predicts the CL and HL concurrently. To the best of our knowledge, we are the first to propose a multi-output (MO) sequential learning model followed by utility preprocessing under the umbrella of a unified framework. A comprehensive set of ablation studies on ML and deep learning (DL) techniques is done over an energy efficiency dataset, where the proposed model reveals an incredible performance as compared to other existing models.

High-Fat Proteins Drive Dynamic Changes in Gut Microbiota, Hepatic Metabolome, and Endotoxemia-TLR-4-NFκB-Mediated Inflammation in Mice.

The responses of gut microbiota to dietary proteins have been studied previously. However, the effects of dietary proteins supplemented with a high-fat diet (HFD) on the metabolite biomarkers associated with non-alcoholic fatty liver disease (NAFLD) are not well understood. To understand the underlying mechanisms, C57BL/6J mice were fed with either a low-fat diet with casein (LFC) or an HFD with casein (HFC), fish (HFF), or mutton proteins (HFM), and their cecal microbiota and liver metabolites were analyzed. At the phylum level, the HFD group had a relatively higher abundance of Firmicutes compared to the LFC-diet group. At the genus level, the HFF-diet group had the highest abundance of Lactobacillus and Akkermansia compared to the HFC- and HFM-diet groups. Furthermore, mice fed with the HFF diet had significantly reduced levels of hepatic metabolites involved in oxidative stress and bile acid metabolism. Thus, meat proteins in HFD interact in the host to create distinct responses in the gut microbiota and its metabolites.