Economic Impact of Climate Change on the Agricultural Sector of Punjab

As back as the Industrial Revolution, anthropogenic activities namely, power generation from fossil fuels and deforestation activities have been continuously increasing the atmospheric concentration of GHGs beyond their natural limits resulting in an enhanced greenhouse effect, vis-à-vis, an increase in global temperature. The rise in temperature could be coupled with changes in rainfall pattern, rise in sea level, and frequency and severity of extreme events namely, cyclones and droughts etc. The sum of all these changes is referred to as climate change. Climate change affects economic development in many ways, especially the agrarian economies have always depended on vagaries of nature and climate. Change in temperature, precipitation averages and extreme climate events can alter yield, income, health, sociology and physical safety. Climate change is a global phenomenon and no country is immune to it. The disappearing of the Himalayan glaciers at a fast pace would increase the probability of extreme water flows, rendering it uncontrolled will bring heavy floods, loss of life, livestock, crops and infrastructural facilities in Pakistan, India, Nepal and Bangladesh. Climate change will affect all sectors of the economy not alone agricultural sector the most as well as health, forests, energy, coastal area, biodiversity and ecology all over the globe. In this connection, it will be pertinent to give the most recent events which have taken place across Asia

Correlation of Uric Acid Levels with Feto-Maternal Outcomes in Hypertensive Disorders in Pregnancy

Objective: To explore the correlation between uric acid levels and feto-maternal outcomes in women with hypertensive disorders of pregnancy. Study Design: Comparative cross-sectional study. Place and Duration of Study: Obstetrics & Gynaecology Department, Combined Military Hospital, Rawalpindi Pakistan, from Feb to Aug 2021. Methodology: In this cross-sectional study, 90 pregnant women with hypertensive disorders having greater than 26 weeks of gestation were included after seeking Ethical Committee approval. Selected parameters were noted on a structured proforma. Results: Among the participants, 38(42.2%) had pregnancy-induced hypertension, 32(35.5%) had pre-eclampsia, 13(14.5%) had chronic hypertension with pre-eclampsia, and 7(7.8%) had eclampsia. Mean Uric acid levels ranged between 363.66±50.45 μmol/L and 451.86±120.62μmol/L, with a significant difference between PIH and eclampsia (p<0.001). Mode of delivery was avaginal, primary cesarean section, and repeat cesarean section in 31(34.4%), 38(42.2%), and 21(23.4%) patients, respectively(p<0.001). Liquor was meconium stained in 49(54.4%) while clear in 41(45.6%) births, with (p<0.001). Early neonatal deaths6(6.7%) participants had significantly higher uric acid levels than no NICU admission 22(24.4%). In maternal outcomes, 83 patients (92.2%) required routine post-operative care, while 7(7.8 %) went to the intensive care unit. Uric acid levels had a negative correlation with gestational age. Conclusion: Maternal uric acid levels differ significantly in different hypertensive disorders of pregnancy and affect the mode of delivery and neonatal outcomes

Preparation, Characterization and Application of Vitamin-E fortified Nanocoatings on Fresh-cut Apples

Fresh-cut apples have a very low shelf life due to high vulnerability to oxidation in open air. The aim of the present work was to prepare enriched nanocoatings to increase not only the shelf life of the fruit, but to add to it nutritive values as well. Hence, four different edible coatings were prepared containing vitamin-E nanoemulsion. Vitamin-E nanoemulsion was successfully prepared by EPI (Emulsion Phase Inversion) method and the particles size distribution was checked by DLS (Dynamic Light Scattering) method. Potassium Sorbate and Calcium Chloride were added, respectively, as antimicrobial and antioxidant agents. In one coating, fresh lemon juice was used in place of ascorbic acid for comparison. To reduce respiration and water vapor permeability, methyl cellulose and stearic acid were added in different ratios to all the four coatings. Prepared coatings were then applied on freshly-cut apple pieces using dip method. Various characterization parameters were performed to analyze the quality of vitamin-E fortified edible nanocoatings such as weight loss, titrateable acidity, total soluble solids, and total phenolics for two weeks. In addition, antimicrobial activity of the prepared edible coatings was done using LBA (Luria Bertani Agar) culture media. All the coatings showed good results but the coating containing fresh lemon juice gave comparatively better results

Modifier genes in microcephaly: A report on WDR62, CEP63, RAD50 and PCNT variants exacerbating disease caused by biallelic mutations of ASPM and CENPJ

Congenital microcephaly is the clinical presentation of significantly reduced head circumference at birth. It manifests as both non-syndromic-microcephaly primary hereditary (MCPH)-and syndromic forms and shows considerable inter- and intrafamilial variability. It has been hypothesized that additional genetic variants may be responsible for this variability, but data are sparse. We have conducted deep phenotyping and genotyping of five Pakistani multiplex families with either MCPH (n = 3) or Seckel syndrome (n = 2). In addition to homozygous causal variants in ASPM or CENPJ, we discovered additional heterozygous modifier variants in WDR62, CEP63, RAD50 and PCNT-genes already known to be associated with neurological disorders. MCPH patients carrying an additional heterozygous modifier variant showed more severe phenotypic features. Likewise, the phenotype of Seckel syndrome caused by a novel CENPJ variant was aggravated to microcephalic osteodysplastic primordial dwarfism type II (MOPDII) in conjunction with an additional PCNT variant. We show that the CENPJ missense variant impairs splicing and decreases protein expression. We also observed centrosome amplification errors in patient cells, which were twofold higher in MOPDII as compared to Seckel cells. Taken together, these observations advocate for consideration of additional variants in related genes for their role in modifying the expressivity of the phenotype and need to be considered in genetic counseling and risk assessment

Ensemble deep learning for brain tumor detection

With the quick evolution of medical technology, the era of big data in medicine is quickly approaching. The analysis and mining of these data significantly influence the prediction, monitoring, diagnosis, and treatment of tumor disorders. Since it has a wide range of traits, a low survival rate, and an aggressive nature, brain tumor is regarded as the deadliest and most devastating disease. Misdiagnosed brain tumors lead to inadequate medical treatment, reducing the patient's life chances. Brain tumor detection is highly challenging due to the capacity to distinguish between aberrant and normal tissues. Effective therapy and long-term survival are made possible for the patient by a correct diagnosis. Despite extensive research, there are still certain limitations in detecting brain tumors because of the unusual distribution pattern of the lesions. Finding a region with a small number of lesions can be difficult because small areas tend to look healthy. It directly reduces the classification accuracy, and extracting and choosing informative features is challenging. A significant role is played by automatically classifying early-stage brain tumors utilizing deep and machine learning approaches. This paper proposes a hybrid deep learning model Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) for classifying and predicting brain tumors through Magnetic Resonance Images (MRI). We experiment on an MRI brain image dataset. First, the data is preprocessed efficiently, and then, the Convolutional Neural Network (CNN) is applied to extract the significant features from images. The proposed model predicts the brain tumor with a significant classification accuracy of 99.1%, a precision of 98.8%, recall of 98.9%, and F1-measure of 99.0%.Qatar National Library and Qatar university internal - grant No. IRCC-2021-01

Groundwater Contamination Study of Faisalabad and Sargodha Metropolitan Cities

The groundwater is one of the most important sources for fulfilling daily needs. Groundwater for drinking purposes is the biggest source in Pakistan, but due to population explosion, the rapid development of industrialization, deforestation, urbanization and unplanned housing schemes on agricultural lands are the major reasons for groundwater contamination and deterioration. The work emphasized evaluating the physicochemical characteristics of the groundwater of the two cities of Punjab, Faisalabad and Sargodha for drinking purposes. Overall thirty samples were collected in triplicate, fifteen from each city, Faisalabad and Sargodha, respectively. Physicochemical parameters, trace elements and microbiological analysis were conducted. The results revealed that the quantities of Magnesium (Mg), Calcium (Ca), Sodium (Na), Chloride (Cl-), and Total Dissolved Solids (TDS) were significantly higher than the permissible limits of WHO in the majority of the samples from Sargodha, while TDS, Total Hardness (TH), were higher in most samples of Faisalabad. The studied trace elements Aluminum (Al), Chromium (Cr), Arsenic (As), Manganese (Mn), Iron (Fe), Cobalt (Co), Nickel (Ni), Copper (Cu), Zinc (Zn), Selenium (Se), Cadmium (Cd), and Lead (Pb) were found under safe limits of WHO except Cr, Cd, Se and Mn in Sargodha city and in Faisalabad Se and Cd were found to be crossing WHO levels in few locations. The samples from Faisalabad were found microbiologically unsafe as compared to Sargodha. Principal component analysis (PCA) revealed that the area's most dominant anion was chloride. Many processes are involved in changing water chemistry, and the water quality was controlled by rock water interaction and evaporation procedures. The study concluded that the area's water was brackish; due to this, the water was found unsuitable for drinking purposes. Therefore, the supply of safe water and water treatment plant installations are highly recommended in these areas

Physicochemical and pathological assessment of groundwater quality from Sargodha, Pakistan using hybrid multi-layer slow sand filter: pre and post treatment analysis

One of the main issues confronting humanity in the twenty-first century is the lack of potable water availability. Around half of the world’s consumers face drinking water scarcity. Industrially rich areas have a high population and high-water contamination risk factors. Modern technologies that are quite effective for water purification, present economical limitations that impede their usefulness in developing countries. Conventional methods involving low energy, low chemical demand, and prevention of water-borne disease are therefore significant for water purification in developing countries like Pakistan. These limitations have led to improvising the conventional method for facile water purification. Herein we report the water purification assembly based on allow sand filtration; involving the raw materials grass, clay, sand, silt, pebbles, gravel and coal/ fly ash carbon to obtain clean and quality-controlled water treatment. Ground water samples collected from various areas of Sargodha city were subjected to the developed design Hybrid Multi-Layer Slow Sand Filter (HMLSSF). Based on pre- and post-treatment water analysis, it was determined that the filtration assembly was quite effective at reducing pH, turbidity, dissolved and suspended solids, hardness, and heavy metals percent removal by 87%, 77.7%, 91.3%, 95.4%, 84.4%, and to promising levels, respectively. Moreover, 99 % biological contamination such as total coliform was also removed by this method

Genetic Investigation of Consanguineous Pakistani Families Segregating Rare Spinocerebellar Disorders

Spinocerebellar disorders are a vast group of rare neurogenetic conditions, generally characterized by overlapping clinical symptoms including progressive cerebellar ataxia, spastic paraparesis, cognitive deficiencies, skeletal/muscular and ocular abnormalities. The objective of the present study is to identify the underlying genetic causes of the rare spinocerebellar disorders in the Pakistani population. Herein, nine consanguineous families presenting different spinocerebellar phenotypes have been investigated using whole exome sequencing. Sanger sequencing was performed for segregation analysis in all the available individuals of each family. The molecular analysis of these families identified six novel pathogenic/likely pathogenic variants; ZFYVE26: c.1093del, SACS: c.1201C&gt;T, BICD2: c.2156A&gt;T, ALS2: c.2171-3T&gt;G, ALS2: c.3145T&gt;A, and B4GALNT1: c.334_335dup, and three already reported pathogenic variants; FA2H: c.159_176del, APTX: c.689T&gt;G, and SETX: c.5308_5311del. The clinical features of all patients in each family are concurrent with the already reported cases. Hence, the current study expands the mutation spectrum of rare spinocerebellar disorders and implies the usefulness of next-generation sequencing in combination with clinical investigation for better diagnosis of these overlapping phenotypes

De novo variants of CSNK2B cause a new intellectual disability-craniodigital syndrome by disrupting the canonical Wnt signaling pathway

CSNK2B encodes for casein kinase II subunit beta (CK2b), the regulatory subunit of casein kinase II (CK2), which is known to mediate diverse cellular pathways. Variants in this gene have been recently identified as a cause of Poirier-Bienvenu neurodevelopmental syndrome (POBINDS), but functional evidence is sparse. Here, we report five unrelated individuals: two of them manifesting POBINDS, while three are identified to segregate a new intellectual disability-craniodigital syndrome (IDCS), distinct from POBINDS. The three IDCS individuals carried two different de novo missense variants affecting the same codon of CSNK2B. Both variants, NP_001311.3; p.Asp32His and NP_001311.3; p.Asp32Asn, lead to an upregulation of CSNK2B expression at transcript and protein level, along with global dysregulation of canonical Wnt signaling. We found impaired interaction of the two key players DVL3 and b-catenin with mutated CK2b. The variants compromise the kinase activity of CK2 as evident by a marked reduction of phosphorylated b-catenin and consequent absence of active b-catenin inside nuclei of the patient-derived lymphoblastoid cell lines (LCLs). In line with these findings, whole-transcriptome profiling of patient-derived LCLs harboring the NP_001311.3; p.Asp32His variant confirmed a marked difference in expression of genes involved in the Wnt signaling pathway. In addition, whole-phosphoproteome analysis of the LCLs of the same subject showed absence of phosphorylation for 313 putative CK2 substrates, enriched in the regulation of nuclear b-catenin and transcription of the target genes. Our findings suggest that discrete variants in CSNK2B cause dominant-negative perturbation of the canonical Wnt signaling pathway, leading to a new craniodigital syndrome distinguishable from POBINDS