A Simple and Efficient Deep Learning-Based Framework for Automatic Fruit Recognition

Accurate detection and recognition of various kinds of fruits and vegetables by using the artificial intelligence (AI) approach always remain a challenging task due to similarity between various types of fruits and challenging environments such as lighting and background variations. Therefore, developing and exploring an expert system for automatic fruits’ recognition is getting more and more important after many successful approaches; however, this technology is still far from being mature. The deep learning-based models have emerged as state-of-the-art techniques for image segmentation and classification and have a lot of promise in challenging domains such as agriculture, where they can deal with the large variability in data better than classical computer vision methods. In this study, we proposed a deep learning-based framework to detect and recognize fruits and vegetables automatically with difficult real-world scenarios. The proposed method might be helpful for the fruit sellers to identify and differentiate various kinds of fruits and vegetables that have similarities. The proposed method has applied deep convolutional neural network (DCNN) to the undertakings of distinguishing natural fruit images of the Gilgit-Baltistan (GB) region as this area is famous for fruits’ production in Pakistan as well as in the world. The experimental outcomes demonstrate that the suggested deep learning algorithm has the effective capability of automatically recognizing the fruit with high accuracy of 96%. This high accuracy exhibits that the proposed approach can meet world application requirements.publishedVersio

Contextual challenges in the implementation of the alliance for maternal and newborn health improvement, prospective cohort study, an experience from rural Pakistan

Introduction: Improving maternal and newborn survival needs robust data on patterns of morbidity and mortality from well-characterized cohorts. It is equally important for researchers to document and understand the contextual challenges of data collection and how they are addressed. Methods: This was a prospective cohort study implemented from December 2012 to August 2014 in Matiari, Pakistan. A total of 11,315 pregnancies were enrolled. Participants were approached at home for sequential data collection through the standard pretested structured questionnaires. Some indicators were sourced through health facility records. Information on field challenges gathered through field diaries and minutes of meetings with field staff. Results: Inaccurate reporting of last menstrual period (LMP) dates caused difficulties in the planning and completion of antenatal data collection visits at scheduled gestational weeks. We documented ultrasound reports wherever available, relied on quickening technique, and implemented a seasonal event calendar to help mothers’ recall their LMP. Health system coordinators of public sector and private healthcare providers were individually approached for maximum data collection. But an unregulated private health system with poor record maintenance and health care providers’ reluctance for cooperation posed a greater challenge in data collection. Conclusions: Within a broader understanding of the health systems and socio-cultural environment, temporal and spatial feasibility of data collection should be considered thoroughly at the early stages of study designing, planning, resource allocation, and implementation. Pre-defined regular and need-based meetings with each tier of data collection teams and study managers help to reinvigorate field execution plans and optimize both quantity and quality of study data

Realizing surface amphiphobicity using 3D printing techniques: A critical move towards manufacturing low-cost reentrant geometries

Amphiphobic surfaces are obtained by lowering the surface energy through changes in surface geometry. These changes can be designed on the surface, thereby altering its wettability, and in turn rendering it amphiphobic. The main geometrical entities behind this phenomenon are reentrant geometries which prevent the solid-liquid interface tension from breaking, thereby resulting in contact angles greater than 90°. The science behind modelling and manufacturing of these reentrant geometries is well established apart from manufacturing them via extrusion-based 3-Dimensional printing processes. This review paper in identifying this gap summarizes various characterization parameters for surface wettability followed by identifying the role of surface reentrant geometries to introduce superamphiphobicity in polymers. The focus of the paper then moves towards achieving amphiphobicity using 3D printing processes where the current state of research is discussed in terms of reentrant profiles and achievement of high static contact angles. Role of the most common yet rarely reported Fused Deposition Modelling technique is discussed in more detail and a preliminary investigation based on characteristics flow and printing parameters used in Fused Deposition Modelling has been presented. The surface amphiphobicity is achieved in a one-step process characterized by high static contact angles with low and high surface tension liquids owing to air entrapment in characteristic layer-by-layer deposition features obtained in Fused Deposition Modelling

Correction to: Novel mutation G324C in WNT1 mapped in a large Pakistani family with severe recessively inherited Osteogenesis Imperfecta

In the original publication of this article [1], there are two errors in the article which the cDNA position of the pathogenic variant WNT1 p.Gly324Cys should be c.970G>T instead of c.1168G>T

Fluctuaciones de la tasa de cambio y economía de Pakistán, análisis de series temporales (1989-2013)

La estabilidad económica se mantiene en la máxima prioridad de cada país, y los investigadores de todo el mundo sugirieron diferentes medidas, al seguir el mismo camino se realizó un estudio para predecir los factores de valoración de la moneda, se recopilaron datos del buró de promoción de exportaciones, banco estatal de Pakistán y ministerio de finanzas por 25 años (1989-2013), mediante el uso de regresión lineal; la valoración de la moneda como variable dependiente, las exportaciones, los cambios en la deuda externa y las reservas totales como variables independientes y concluyeron que solo las exportaciones de Pakistán son un predictor correcto de la valoración de la moneda del país que los encargados de formular políticas deben incorporar en la formación de políticas económicas y el establecimiento los objetivos antes de la política fiscal

Evaluation of solar disinfection of water intervention delivered through lady health workers in reduction of diarrheal episodes in under five children

Background: Solar Water Disinfection (SODIS) is a simple, inexpensive and sustainable means of daily household treatment for drinking and storage of water. Globally, over a billion people lack access to safe drinking water. As many as half million under five children die annually due to diarrheal illnesses. Most of these deaths are concentrated in Africa and South Asia. Unsafe water is one of the most critical risk factors for diarrhoea. Systematic reviews indicate that interventions to improve the microbial quality of drinking water in households are effective at reducing diarrhoea illnesses and thereby contribute significantly in reducing deaths due to communicable diseases in children under 5 years. We evaluated the impact of the SODIS intervention on health outcomes and diarrheal episodes in two districts of Punjab province in Pakistan. Methods: A cross-sectional survey was undertaken to assess the impact of solar water disinfection (SODIS) program in two districts of Punjab province, Pakistan. The program was implemented by the Ministry of Health from April 2010- May 2011 in Faisalabad district. We selected Toba Tek Singh as a comparison district for the survey.Results: Analysis with regression models revealed that children had a lower risk of contracting diarrhoea when they consumed high percentages of safe drinks (SODIS), lived in households with good hygiene, washed hands, and belonged to the richest quintile. Diarrhoea prevalence was 10.1 episodes per child per year in the non-intervention area compared to 5.6 episodes per child per year (\u3c 0.0001) in the intervention area. Similarly the proportion of children with dysentery reported in the intervention was half compared to non-intervention area (6.1% vs. 13.9%). SODIS method for purifying drinking water is acceptable and effective in the developing countries. It should be a part of preventive strategies at health system level to control diarrheal illnesses and reduce under five mortalit

Novel mutation G324C in WNT1 mapped in a large Pakistani family with severe recessively inherited Osteogenesis Imperfecta

Abstract Introduction Osteogenesis imperfecta (OI) is a clinically and genetically heterogeneous disease with skeletal fragility and variable extra-skeletal manifestations. To date several point mutations in 18 different genes causing different types of OI have been identified. Mutations in WNT1 compromise activity of the osteoblasts leading to disturbed bone mass accrual, fragility fractures and progressive skeletal abnormalities. The present study was conducted to determine the underlying genetic cause of an autosomal recessive skeletal dysplasia in a large consanguineous family from Chinute, Pakistan. Materials and methods Blood was collected from 24 individuals of affected family along with clinical data. Homozygosity mapping was performed to confirm consanguinity. SNPs were identified, followed by whole exome and Sanger sequencing. In silico characterization of WNT1 mutation was performed using multiple platforms. Results Nine affected family members exhibited severe bone deformities, recurrent fractures, short stature and low bone mineral density. SNP array data revealed homozygous segments > 1 Mb in length accounting for 2.1–12.7% of the genome in affected individuals and their siblings and a single 6,344,821 bp homozygous region in all affected individuals on chromosome 12q12-q13. This region includes two potential OI candidate genes WNT1 and VDR. We did whole-exome sequencing for both genes in two patients and identified a novel damaging missense mutation in exon 4 of WNT1: c.1168G > T (NM_005430) resulting in p.G324C. Sanger sequencing confirmed segregation of mutation with the disease in family. Conclusion We report a novel mutation responsible for OI and our investigation expands the spectrum of disease-causing WNT1 mutations and the resulting OI phenotypes