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This molecular epidemiological study was designed to determine the antimalarial drug resistance pattern, and the genetic diversity of malaria isolates collected from a war-altered Federally Administered Tribal Area (FATA), in Pakistan. Clinical isolates were collected from Bajaur, Mohmand, Khyber, Orakzai and Kurram agencies of FATA region between May 2017 and May 2018, and they underwent DNA extraction and amplification. The investigation of gene polymorphisms in drug resistance genes (dhfr, dhps, crt, and mdr1) of Plasmodium falciparum and Plasmodium vivax was carried out by pyrosequencing and Sanger sequencing, respectively. Out of 679 PCR-confirmed malaria samples, 523 (77%) were P. vivax, 121 (18%) P. falciparum, and 35 (5%) had mixed-species infections. All P. falciparum isolates had pfdhfr double mutants (C59R+S108N), while pfdhfr/pfdhps triple mutants (C59R+S108N+A437G) were detected in 11.5% of the samples. About 97.4% of P. falciparum isolates contained pfcrt K76T mutation, while pfmdr1 N86Y and Y184F mutations were present in 18.2% and 10.2% of the samples. P. vivax pvdhfr S58R mutation was present in 24.9% of isolates and the S117N mutation in 36.2%, while no mutation in the pvdhps gene was found. Pvmdr1 F1076L mutation was found in nearly all samples, as it was observed in 98.9% of isolates. No significant anti-folate and chloroquine resistance was observed in P. vivax; however, mutations associated with antifolate-resistance were found, and the chloroquine-resistant gene has been observed in 100% of P. falciparum isolates. Chloroquine and sulphadoxine-pyrimethamine resistance were found to be high in P. falciparum and low in P. vivax. Chloroquine could still be used for P. vivax infection but need to be tested in vivo, whereas a replacement of the artemisinin combination therapy for P. falciparum appears to be justified.

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) predominantly infects the respiratory system, several investigations have shown the involvement of the central nervous system (CNS) along the course of the illness, with encephalitis being one of the symptoms. The objective of this systematic review was to evaluate the characteristics (clinical, neuro-radiological aspects, and laboratory features) and outcomes of encephalitis in COVID-19 patients. PubMed, Scopus, and Google Scholar databases were searched from 1 December 2019 until 21 July 2022 to identify case reports and case series published on COVID-19 associated with encephalitis. The quality of the included studies was assessed by the Joanna Briggs Institute critical appraisal checklists. This systematic review included 79 studies, including 91 COVID-19 patients (52.7% male) experiencing encephalitis, where 85.6% were adults (49.3 ± 20.2 years), and 14.4% were children (11.2 ± 7.6 years). RT-PCR was used to confirm 92.2% of the COVID-19 patients. Encephalitis-related symptoms were present in 78.0% of COVID-19 patients at the time of diagnosis. In these encephalitis patients, seizure (29.5%), confusion (23.2%), headache (20.5%), disorientation (15.2%), and altered mental status (11.6%) were the most frequently reported neurologic manifestations. Looking at the MRI, EEG, and CSF findings, 77.6%, 75.5%, and 64.1% of the patients represented abnormal results. SARS-CoV-2-associated or -mediated encephalitis were the most common type observed (59.3%), followed by autoimmune encephalitis (18.7%). Among the included patients, 66.7% were discharged (37.8% improved and 28.9% fully recovered), whereas 20.0% of the reported COVID-19-positive encephalitis patients died. Based on the quality assessment, 87.4% of the studies were of high quality. Although in COVID-19, encephalitis is not a typical phenomenon, SARS-CoV-2 seems like a neuropathogen affecting the brain even when there are no signs of respiratory illness, causing a high rate of disability and fatality.

Continuous application of phosphate (P) mineral to soil renders apatite addition during each crop growing season which is of great concern from a sustainable agriculture viewpoint. Use of efficient phosphate solubilizing microbes (PSB) is one of the most effective ways to solubilize this apatite mineral in the soil. The current study targeted hydroxyapatite mines to explore, isolate and characterize efficient P solubilizers to solubilize apatite in the soil. Efficiency of isolated microbes to solubilize rock phosphate (hydroxyapatite) and tri-calcium phosphate (TCP) as well as indole-3-acetic acid (IAA) and 1-aminocyclopropane-1-carboxylate deaminase (ACC) activity were tested. Identification and phylogenetic analysis of bacterial and fungal isolates were carried out by 16S rRNA and internal transcribed spacer (ITS) rDNA sequence analyses, respectively. The isolated bacterial strains were identified as Staphylococcus sp., Bacillus firmus, Bacillus safensis, and Bacillus licheniformis whereas fungal isolates were identified as Penicillium sp. and Penicillium oxalicum. Results showed that the impact of identified strains in combination with three phosphate fertilizers sources (compost, rock phosphate and diammonium phosphate (DAP)) was conspicuous on maize crop grown in pot. Both bacterial and fungal strains increased the P uptake by plants as well as recorded with higher available P in post-harvested soil. Penicillium sp. in combination with compost resulted in maximum P-uptake by plants and post-harvest soil P contents, compared to other combinations of P sources and bio-inoculants. Screening and application of efficient P solubilizers can be a better option to utilize the indigenous phosphate reserves of soil as well as organic amendments for sustainable agriculture.

Unplanned industrialization and improper management of wastes and gases into open surfaces are affecting the agricultural lands causing heavy metal pollution. This study monitored a suburban industrial zone located beside the Dhaka Export Processing Zone (DEPZ) at the Dhaka district in Bangladesh. We studied the heavy metal (Fe, Mn, Cr, Cu, Ni, Co, Zn, Pb, and Cd) concentration in the agricultural soils, plants, and in the atmospheric particulate matter (PM). The soils were found moderately contaminated with Fe, Cu, Ni, Co, and Zn and less contamination with Mn, Cr, Pb, and Cd. The enrichment factor (EF) and pollution load index (PLI) concluded a moderate level of soil pollution in this region. Besides, the plant samples showed an excess level of Cr and a similar level of Cu, Ni, Co, Zn, Pb, and Cd compared with the levels of industrial polluted sites of Bangladesh. The atmospheric PM analysis showed the presence of Fe, Mn, Cu, Ni, Zn, and Pb metals. The EF showed the anthropogenic origin of Mn and Ni in the atmospheric PM. The statistical correlation (r

The COVID-19 being a preconized global pandemic by the World Health Organization needs persuasive immediate research for possible medications. The present study was carried out with a specific aim to computationally evaluate and identify compounds derived from Bacillus species as the plausible inhibitors against 3-chymotrypsin-like main protease (3CLpro) or main protease (MPro), which is a key enzyme in the life-cycle of coronavirus. The compounds were isolated from the crude extracts of Bacillus species. Among the isolated compounds, novel inhibitory leads were identified using in silico techniques. Molecular docking revealed that stigmasterol (-8.3 kcal/mol), chondrillasterol (-7.9 kcal/mol) and hexadecnoic acid (-6.9 kcal/mol)) among others bind in the substrate-binding pocket and also interacted with the catalytic dyad of the 3-CLpro. Further evaluation using 50 ns molecular dynamic simulation and MMPB-GBSA indicated that among the top three docking hits, hexadecanoic acid was found to be the most promising anti-COVID-19 lead against the main protease. Hexadecanoic acid might serve as a potent anti-SARS-CoV-2 compound to combat COVID-19, however, in vitro and in vivo validation and optimization is needed. Communicated by Ramaswamy H. Sarma

Background: Tuberculosis is one of the most frequent and persistent global diseases causing millions of deaths every year. Pakistan lies at number 6 among the 22 most dominant countries, with multidrug resistance up to 15%. Isoniazid-resistant strains of Mycobacterium tuberculosis are gradually rising and seem to be more prevalent in developing countries. Mutations in the katG gene are considered to be responsible for the accusation of isoniazid resistance in M. tuberculosis. Objectives: The current study was designed to investigate the structural and functional associations of KatG gene mutations (S315R and S315T) and multidrug resistance in M. tuberculosis isolates from Karachi, Pakistan. Results: The present study revealed conformational changes in the structure of the KatG enzyme due to observed mutations, which led to induced alterations in isoniazid binding residues at the active site of the KatG enzyme. Furthermore, substantial changes were observed in interaction energy, ligand-receptor energy, electrostatic energy, salvation energy, and ligand-receptor conformational entropy. All these resultant modifications due to S315R and S315T mutations ultimately reduced the flexibility and stability of proteins at isoniazid-binding residues. Conclusions: This deviation in the consistency of protein texture eventually compromises the enzyme activity. It is well expected that the outcomes of the current study would provide a better understanding of the consequences of these mutations and provide a detailed insight into some previously unknown features.

Background: Coronavirus disease 2019 (COVID-19) started to spread globally since December 2019 from Wuhan, China. Headache has been observed as one of the clinical manifestations in COVID-19 patients. We aimed to conduct a comprehensive systematic review and meta-analysis to estimate the overall pooled prevalence of headache in COVID-19 patients.Methods: PubMed, Scopus, ScienceDirect, and Google Scholar databases were searched to identify studies published between December 2019 and March 2020. Adult (≥18 years) COVID-19 patients were considered eligible. We used random-effects model to estimate the pooled prevalence with 95% confidence intervals (CIs). Quality assessment was done using the Joanna Briggs Institute critical appraisal tools. This study is registered with PROSPERO (CRD42020182529).Results: We identified 2,055 studies, of which 86 studies (n = 14,275, 49.4% female) were included in the meta-analysis. Overall, the pooled prevalence of headache in COVID-19 patients was 10.1% [95% CI: 8.76–11.49]. There was no significant difference of headache prevalence in severe or critical vs. non-severe (RR: 1.05, p = 0.78), survived (recovered or discharged) vs. non-survived (RR: 1.36, p = 0.23), and ICU vs. non-ICU (RR: 1.06, p = 0.87) COVID-19 patients. We detected 64.0, 34.9, and 1.1% of the included studies as high, moderate, and low quality, respectively.Conclusions: From the first 4-month data of the outbreak, headache was detected in 10.1% of the adult COVID-19 patients.

Wastewater irrigation leads to the deposition of hazardous elements (HE) in irrigated soils which could be accumulated in cultivated vegetables, contaminating the food chain and pose threat to the human population. HE concentrations could be varied in the wastewater-irrigated and background soil and cultivated vegetables with season depending on temperature, humidity, and quantity of irrigation water. For this purpose, soil and vegetable samples were collected in the summer and winter seasons of Peshawar, Pakistan, and analyzed for HE including Cu, Cr, Cd, Co, Zn, Pb, Mn, and Ni. Results revealed that HE contaminations except for Ni in wastewater-irrigated soil and vegetables of both seasons were multifold higher than reference. Between seasons, summer had higher HE contamination in soil and vegetables compared to the winter season. The Cd and Ni concentrations in soil and Pb, Cd, and Cr in vegetables of both seasons exceeded their respective threshold limits set by the Food and Agriculture Organization/World Health Organization. Soil enrichment factors for HE contamination were observed greater than one that could be attributed to wastewater irrigation. Higher values of bioaccumulation factors were found for Cd (1.4), Co (1.8), and Cu (4.0). HE concentrations of vegetables were used for the risk assessment using average daily intake (ADI) and target hazard quotient (THQ). The ADI values of Cd and Pb were observed higher than their respective referenced dose. The THQ values ranged from 0.002–3.86 and 0.02–3.46 for adults and children. Higher THQ values could result in various health problems for the exposed human community.

Unplanned industrialization and improper management of wastes and gases into open surfaces are affecting the agricultural lands causing heavy metal pollution. This study monitored a suburban industrial zone located beside the Dhaka Export Processing Zone (DEPZ) at the Dhaka district in Bangladesh. We studied the heavy metal (Fe, Mn, Cr, Cu, Ni, Co, Zn, Pb, and Cd) concentration in the agricultural soils, plants, and in the atmospheric particulate matter (PM). The soils were found moderately contaminated with Fe, Cu, Ni, Co, and Zn and less contamination with Mn, Cr, Pb, and Cd. The enrichment factor (EF) and pollution load index (PLI) concluded a moderate level of soil pollution in this region. Besides, the plant samples showed an excess level of Cr and a similar level of Cu, Ni, Co, Zn, Pb, and Cd compared with the levels of industrial polluted sites of Bangladesh. The atmospheric PM analysis showed the presence of Fe, Mn, Cu, Ni, Zn, and Pb metals. The EF showed the anthropogenic origin of Mn and Ni in the atmospheric PM. The statistical correlation (r 0.0001) of soil and plant heavy metals showed the possibility of transfer of metals from soil to plant which will cause the increase of pollution intensity. Overall, this agricultural region became an intermediate pollution zone. This study will help the decision-maker become conscious of heavy metal pollution in the suburban regions to monitor agricultural lands from anthropogenic pollution.

The current study was focused on the usage of bio synthesized zinc oxide nanoparticles to increase the tissue culture efficiency of important forage grass Panicum virgatum. Zinc being a micronutrient enhanced the callogenesis and regeneration efficiency of Panicum virgatum at different concentrations. Here, we synthesized zinc oxide nanoparticles through Cymbopogon citratus leaves extract to evaluate the influence of zinc oxide nanoparticles on the quality of plant regeneration in switchgrass. X-ray diffraction (XRD) and attenuated total reflectance-Fourier transform infrared (ATR-FTIR) validate phase purity of green synthesize Zinc oxide nanoparticles whereas, electron microscopy (SEM) has illustrated the average size of particle 50±4 nm with hexagonal rod like shape. Energy dispersive Xray (EDS) spectra depict major peaks of Zn (92.68%) while minor peaks refer to Oxygen (7.32%). ZnO NPs demonstrate the incredibly promising results against callogenesis. Biosynthesized ZnO NPs at optimum concentration showed very promising effect on plant regeneration ability. Both the explants, seeds and nodes used in study showed dose dependent response and upon high doses exceeding 40 mg/L the results were recorded negative, whereas at 30 mg/L both explants demonstrate 70 % and 76 % regeneration frequency. The results conclude that zinc oxide nanoparticles enhance plant growth and development. Being one of the essential plant nutrients, ZnO has greatly tailored the nutritive properties at nano-scale.

To ensure adequate access to urban facilities, it is important for urban planners to achieve equity in the geographical arrangement of such facilities. For the evaluation of vertical spatial equity in the geographical organization of urban facilities, there is a requirement to examine whether and to what degree the variation in spatial accessibility to urban facilities corresponds to the variation in aspatial accessibility for such facilities. While no studies so far measure vertical spatial equity in accordance with ‘need’ and ‘demand’ based approaches of equity with a focus on both spatial and aspatial accessibility. Therefore, this paper attempts to measure an integrated spatial accessibility index for the evaluation of geographic variation in spatial accessibility to urban facilities, and then, seeks to integrate spatial accessibility and aspatial accessibility in one framework to evaluate vertical spatial equity in the geographical arrangement of urban facilities. This paper measures integrated spatial accessibility index for urban facilities following the concept of 2SFCA method incorporating supply and demand for urban facilities, the travel distance or time that users are willing to cover to reach such facilities, and the interaction of residents across geographic boundaries. Aspatial accessibility to urban facilities is defined through demographic-demand index and social-need index for those facilities. Spearmen correlation coefficient, spatial analysis models (local spatial autocorrelation in this case), and overlay are used to assess the association between spatial accessibility and aspatial accessibility to urban facilities. The results indicate there exists a variation (inequality) in spatial accessibility to urban facilities in the case study area (DCC). Urban facilities are inequitably distributed within DCC, as high-social-need areas and high-demographic-demand areas have low spatial accessibility to such facilities. These areas should be prioritized in distributing urban facilities in the future, and thus, it can help urban planners to achieve an equitable distribution of urban facilities. Keywords: Spatial accessibility, Aspatial accessibility, Spatial equity, Urban facilities, 2SFCA

Brain tumor, a type of cancer, is caused by a genetic mutation of abnormal neuronal cells. However, it cannot be easily diagnosed and depends on the patient’s symptoms which range from hemialgia, seizure, irregular vision, mental shift and many more. The symptoms may vary depending on the region of the tumor. Currently, Magnetic Resonance Imaging (MRI) scan is the foremost means for tumor detection as well as identifying the position and extent of the tumor for surgical procedure. However, the MRIs are needed to be manually checked by a professional to determine the results. We propose a system which is an effective image processing algorithm for detecting and recognizing the tumor from MRI images to obtain the image segmentation of brain bleeding more accurately, making immediate medical treatment possible. In this system, the same problem with different procedures and methods is tested to find the best conjunction through trial and error. Through the combination, the effectiveness and error ratio of the results is engrossed on. This approach is for early detection of brain tumors with high correctness which gives an adequate result by detecting brain tumor properly.

This brief presents an electronic oscillator circuit model mimicking a unique relationship among six genes. Three out of the six genes are employed to synthesize proteins, while the remaining three are their complementary micro-ribonucleic acid (miRNA) genes degrading the messenger-RNA transcripts at the translational level of gene expression. The circuit runs without any external stimulus because the transcription of each gene is controlled by another gene in forming the oscillatory network. A feasibility procedure is also presented, which can be used to fabricate the proposed gene–protein–miRNA electronic oscillator in the biological domain. This research is valuable in designing complex synthetic gene regulatory networks and analyzing their biological behavior.

Systemic lupus erythematosus (SLE) is a systemic autoimmune disease where chronic inflammation and tissue or organ damage is observed. Due to various suspected causes, inadequate levels of vitamin D (a steroid hormone with immunomodulatory effects) has been reported in patients with SLE, however, contradictory.The aim of this systematic review and meta-analysis was to evaluate the serum levels of vitamin D in patients with SLE in compared to healthy controls.PubMed, SCOPUS, ScienceDirect and Google Scholar electronic databases were searched systematically without restricting the languages and year (up to March 2, 2019) and studies were selected based on the inclusion criteria. Mean difference (MD) along with 95% confidence intervals (CI) were used and the analyses were carried out by using a random-effects model. Different subgroup and sensitivity analyses were conducted. Study quality was assessed by the modified Newcastle-Ottawa Scale (NOS) and publication bias was evaluated by a contour-enhanced funnel plot, Begg's and Egger's tests.We included 34 case-control studies (2265 SLE patients and 1846 healthy controls) based on the inclusion criteria. Serum levels of vitamin D was detected significantly lower in the SLE patients than that in the healthy controls (MD: -10.44, 95% CI: -13.85 to -7.03; p .00001). SLE patients from Asia (MD: -13.75, 95% CI: -21.45 to -6.05; p = .0005), South America (MD: -3.16, 95% CI: -4.62 to -1.70; p .0001) and Africa (MD: -16.15, 95% CI: -23.73 to -8.56; p .0001); patients residing below 37° latitude (MD: -11.75, 95% CI: -15.79 to -7.70; p .00001); serum vitamin D during summer season (MD: -7.89, 95% CI: -11.70 to -4.09; p .0001), patients without vitamin D supplementation (MD: -15.57, 95% CI: -19.99 to -11.14; p .00001) or on medications like hydroxychloroquine, corticosteroids or immunosuppressants without vitamin D supplementation (MD: -16.46, 95% CI: -23.86 to -9.05; p .0001) are in higher risk in presenting inadequate serum levels of vitamin D. The results remained statistically significant from different sensitivity analyses which represented the robustness of this meta-analysis. According to the NOS, 91.2% of the studies were considered as of high methodological quality (low risk of bias). No significant publication bias was detected from contour-enhanced and trim and fill funnel plots or Begg's test.Inadequate levels of serum vitamin D is significantly high in patients with SLE compared to healthy subjects, therefore, vitamin D supplementation with regular monitoring should be considered as part of their health management plans.

Background Coronavirus disease 2019 (COVID-19), a pandemic disease caused by the severe acute respiratory syndrome coronavirus 2 started to spread globally since December 2019 from Wuhan, China. Fever has been observed as one of the most common clinical manifestations, although the prevalence and characteristics of fever in adult and paediatric COVID-19 patients is inconclusive. We aimed to conduct a systematic review and meta-analysis to estimate the overall pooled prevalence of fever and chills in addition to fever characteristics (low, medium, and high temperature) in both adult and paediatric COVID-19 patients. Methods The protocol of this systematic review and meta-analysis was registered with PROSPERO (CRD42020176327). PubMed, Scopus, ScienceDirect and Google Scholar databases were searched between 1st December 2019 and 3rd April 2020 without language restrictions. Both adult (≥18 years) and paediatric (I² statistic and Cochran’s Q test. Robustness of the pooled estimates was checked by different subgroups and sensitivity analyses. Results We identified 2055 studies, of which 197 studies (n = 24266) were included in the systematic review and 167 studies with 17142 adults and 373 paediatrics were included in the meta-analysis. Overall, the pooled prevalence of fever in adult and paediatric COVID-19 patients were 79.43% [95% CI: 77.05–81.80, I2 = 95%] and 45.86% [95% CI: 35.24–56.48, I2 = 78%], respectively. Besides, 14.45% [95% CI: 10.59–18.32, I2 = 88%] of the adult COVID-19 patients were accompanied with chills. In adult COVID-19 patients, the prevalence of medium-grade fever (44.33%) was higher compared to low- (38.16%) and high-grade fever (14.71%). In addition, the risk of both low (RR: 2.34, 95% CI: 1.69–3.22, pI2 = 84%) and medium grade fever (RR: 2.79, 95% CI: 2.21–3.51, pI2 = 75%) were significantly higher compared to high-grade fever, however, there was no significant difference between low- and medium-grade fever (RR: 1.17, 95% CI: 0.94–1.44, p = 0.16, I2 = 87%). 88.8% of the included studies were of high-quality. The sensitivity analyses indicated that our findings of fever prevalence for both adult and paediatric patients are reliable and robust. Conclusions The prevalence of fever in adult COVID-19 patients was high, however, 54.14% of paediatric COVID-19 patients did not exhibit fever as an initial clinical feature. Prevalence and risk of low and medium-grade fevers were higher compared to high-grade fever.

The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery are widely used for crop yield analysis. However, the growth metrics derived from the MODIS NDVI or EVI have so far not been explored and applied to crop yield yet. To the best of our knowledge, this study is the first to design NDVI- and EVI-based crop growth metrics, which biometrically capture the status and trend of crop growth and thus could be more powerful for growth yield management. We developed 19 NDVI- and EVI-based growth metrics, respectively, to monitor crop growth and yield, which is based on a time series of MODIS Terra 16-day 250 m data product from 2000 to 2018. Among the NDVI- and EVI-based vegetation growth metrics (VGM), the maximum (VGMmax), the integrated (VGMinteg), the sum of green-up (VGMsumgrn), the 70 days growth stage (VGM70), 85 days growth stage (VGM85), and 98 days growth stage (VGM98), the sum of 85 days growth stage (VGM85total), and the sum of 98 days growth stage (VGM98total) are mentionable. In this study, we implemented these crop growth metrics for soybean crop yield modeling at Mississippi Delta, Mississippi, USA. Soybean is a major crop cultivated in this region that is consisted of a total of 18 counties with similar agricultural cropping patterns. We observed that NDVI- and EVI-based VGMmax, VGM70, VGM85, VGM98total fitted models best with R-Square about 0.95. Using cross-validation of 80% train and 20% test size, we found NDVI-based VGM85 (e.g., normalized mean prediction error (NMPE) = 0.034) and EVI-based VGMmax (NMPE = 0.033) were the best fit linear yield models for this region. Designing novel crop growth indices based on crop phenological and ecological characteristics, this study further showed NDVI- and EVI-based growth metrics for crop growth monitoring and yield modeling. These growth metrics can be applied to other types of crop monitoring in different climate zones.

Chemical synaptic transmission dynamics in the mammalian wetware control the activities of a living creature. During this cascading process, biological information is transferred from one neuron to another (the next) neuron. Many electronic circuits have been designed to implement neural synaptic communication; however, the invention of the memristor has raised the prospect of novel, highly efficient, and miniaturized neural circuit emulation. A novel VLSI circuit emulation of the chemical synaptic process at the biomolecular level (molecular level neuromorphic circuit) has been presented in this paper. Memristors and operational amplifiers in various configurations are key components in this silicon-based emulation. Commencement of deoxyribonucleic acid (DNA) transcription of certain neural gene in the postsynaptic neuron (through Ca+2 ion stimulation) is a major consequence of the synaptic transmission dynamics. Thus, this paper also proposes an integrated circuit model for the postsynaptic neural DNA transcription. A comparison of the silicon-based measured results using the proposed model with experimentally reported biological data justifies the validity of the proposed model. Stochastic aspects are also simulated through Monte Carlo analysis of the circuit model.

Background and Objective:Type 2 diabetes mellitus (T2DM) is a multifactorial metabolic disorder. Pancreatic β-cell dysfunction and insulin resistance are the most common and crucial events of T2DM. Increasing evidence suggests the association of epigenetic modifications with the pathogenesis of T2DM through the changes in important biological processes including pancreatic β- cell differentiation, development and maintenance of normal β-cell function. Insulin sensitivity by the peripheral glucose uptake tissues is also changed by the altered epigenetic mechanisms. In this review, we discussed the major epigenetic alterations and their effects on β-cell function, insulin secretion and insulin resistance in context of T2DM.Methods:We investigated the presently available epigenetic modifications including DNA methylation, posttranslational histone modifications, ATP-dependent chromatin remodeling and non-coding RNAs related to the pathogenesis of T2DM. Published literatures on this topic were searched both on Google Scholar and Pubmed with related keywords and investigated for relevant information.Results:The epigenetic modifications introduce changes in gene expression which are essential for appropriate β-cell development and functions, insulin secretion and sensitivity resulting in the pathogenesis of T2DM. Interestingly, T2DM could also be a prominent reason for the mentioned epigenetic alterations.Conclusion:This review article emphasized on the epigenetic modifications associated with T2DM and discussed the consequences in deterioration of the disease condition.

Background: The purpose of the study was to explore a relationship between serum Selenium level and diabetes. Methods: Analysis of 100 blood samples were carried out, collected from Institute of Medical Sciences (PIMS), Islamabad, Pakistan. All the subjects selected were local inhabitants of Rawalpindi and Islamabad and their serum selenium levels were measured by hydride generation atomic absorption spectrometer. Results: Analysis of the mean serum selenium level in the male and female patients of both type I and II were 169 ± 91 μg/L and 199.25 ± 120 μg/L respectively while mean serum selenium level among males and females of healthy subjects was 245.59 ± 131 μg/L and 239.92 ± 138. Conclusion: Serum Selenium level and Diabetes has an inverse relation.

Regulation of gene expression stages within a cellular creature deals with all the complexities and functionalities of the organism. These genetic information processing activities inside the cell can imitate the specific operations carried out by different combinations of semiconductor devices. Appropriate gene regulation is the basis of correct system biological functionality within all living organisms. Any biochemical aberrations (mutations) in a cell cycle which are not diminished genetically can result in progressive cellular dysfunction. Controlling mutations can be approached by realizing a “silicon mimetic” electronic circuit emulating the gene expression stages. This paper presents an integrated circuit model mimicking the post-transcriptional stages in gene expression regulated by microRNAs and Proteasome. The mRNA degradation by microRNA is modeled using emitter degeneration, while the protein degradation is modeled by a mixed-signal CMOS circuit. The effect of enzymes in the degradation reaction is also explored using a “chemo-inductor.” Probabilistic analysis using Monte Carlo simulations indicates that the proposed staged gene circuit model is also robust in an environment of stochastic biochemical reactions. The model is found to be in close agreement with experimentally reported data.

This paper presents the impact of mean maximum temperature on Chitral river basin situated at Chitral district and high altitude (>6000 m) peaks of the Hindukush range under changing climate in Pakistan. The analysis of Chitral River as one of the tributary of Kabul River—the second largest river of Pakistan—revealed that change in temperature has a profound influence on the snow/glacial melt in comparison to the mean monthly rainfall. This is because the studied river is faded by the snow and glacial melt and receives a lot of snowfall from winter (DecFeb) to pre-monsoon (April-May). In monsoon period (Jul-Sep), 30% of the time the discharge rate remains above the mean while 60% of the time the discharge is less than the mean in the pre-monsoon (April-May) period. It means that 10% of the time the discharge is in reach of 300% to 900% of the mean flow, showing a rise in water yield and river discharge rate due to increase in mean monthly maximum temperature. Due to this significant increase (p < 0.05), the glaciers start melting faster and disappear in early summer, hence, reducing their residency period to convert into ice. This shows the signals of changing climate transfer into hydrological changes in Pakistan. Our findings are important for agriculture, hydropower and water management sectors for future planning especially in dry season for sustainable food security and for operation of ydrological installations in the country.

Nutritional value of vegetables and high prices of meat and meat originated food compel common people to consume plant originated food particularly salad vegetables. Microbial population of vegetable surfaces contains a large number of pathogenic bacteria including members of Enterobactereace like Escherichia coli (E. coli). A survey was conducted in three major markets of Rawalpindi, Pakistan. Tomato, lettuce, cabbage and cucumber samples were collected from three shops of each market. Each vegetable was analysed as unwashed and washed for total coliforms, faecal coliforms and E. coli by FAO (Food Quality Manual). About two hundred and fifty E. coli isolates were preserved, serotyped for presence of O157 serotype. Total coliforms, faecal coliforms and E. coli count exceeded the permissible limits in most samples. The highest Total coliforms were associated with cabbage (3.78 log10 cfu/g). Cucumber was the least contaminated by Total coliforms (2.15 log10 cfu/g). E. coli was detected in tomato, lettuce, cucumber and cabbage. Washed samples showed reduced bacterial population. Seventy six isolates of E. coli were biochemically characterized and serotyped for O157 antigen. A majority of strains could not be identified by serotyping. These findings conclude with high potentially pathogenic microbial load on salad vegetables and urge for preventive action on priority basis.

Glass ceramics of the composition x ZnO·25Fe 2 O 3 ·(40− x )SiO 2 ·25CaO·7P 2 O 5 ·3Na 2 O were prepared by the melt-quench method using oxy-acetylene flame. Glass-powder compacts were sintered at 1100 °C for 3 h and then rapidly cooled at −10 °C. X-ray diffraction (XRD) revealed 3 prominent crystalline phases: ZnFe 2 O 4 , CaSiO 3 and Ca 10 (PO 4 ) 6 (OH) 2 . Vibrating sample magnetometer (VSM) data at 10 KOe and 500 Oe showed that saturation magnetization, coercivity and hence hysteresis area increased with the increase in ZnO content. Nano-sized ZnFe 2 O 4 crystallites were of pseudo-single domain structure and thus coercivity increased with the increase in crystallite size. ZnFe 2 O 4 exhibited ferrimagnetism due to the random distribution of Zn 2+ and Fe 3+ cations at tetrahedral A sites and octahedral B sites. This inversion/random distribution of cations was probably due to the surface effects of nano-ZnFe 2 O 4 and rapid cooling of the material from 1100 °C (thus preserving the high temperature state of the random distribution of cations). Calorimetric measurements were carried out using magnetic induction furnace at 500 Oe magnetic field and 400 KHz frequency. The data showed that maximum specific power loss and temperature increase after 2 min were 26 W/g and 37 °C, respectively for the sample containing 10% ZnO. The samples were immersed in simulated body fluid (SBF) for 3 weeks. Scanning electron microscope (SEM), energy dispersive spectroscopy (EDX) and XRD results confirmed the growth of precipitated hydroxyapatite phase after immersion in SBF, suggesting that the ferrimagnetic glass ceramics were bioactive and could bond to the living tissues in physiological environment.

Gastrointestinal stromal tumors (GISTs) are rare. Nevertheless, some may present with a life-threatening hemorrhage or intestinal obstruction. The aim of this study was to review the various modes of the presentation of GIST, especially hemorrhage and obstruction, and to assess the role of laparoscopic surgery in the management of acute cases and the correlation of such cases with malignant potential.Data were collected from the hospital in the patient records as well as a prospective database. Their presentation, management, histologic features, and follow-up periods were analyzed.Nine cases of GIST were collected. Five (56%) presented with hemorrhage, 3 (33%) with intestinal obstruction, and 1 (11%) with a tender epigastric mass. Six patients had a gastroscopy procedure, and 6 had a computed tomography scan of the abdomen and pelvis. Five (67%) patients underwent a partial gastrectomy (3 laparoscopic and 2 open procedures), 1 had a laparoscopic localized resection of a gastric GIST, and 3 (33%) had a resection and anastomosis of the bowel. All patients presented acutely, and 78% had emergency surgery performed. The laparoscopic approach was attempted in 6 patients (67%), and was successful in 4 (67%). All patients who had a laparoscopic treatment performed had less pain, a quicker recovery, and a shorter hospital stay, as compared to those patients who had open surgery. Five cases were malignant tumors. Immunohistochemistry revealed a positive c-kit and CD34 for all tumors. The median follow-up was 24 months with one recurrence.Our experience showed that GISTs can present acutely and may need immediate surgical intervention. A laparoscopic treatment is safe and practical in experienced hands. Tumor size and hemorrhage at presentation can predict a patient's malignant potential.