Variations in genomic epidemiology and in-silico screening of potential phytochemicals to cure Monkeypox

Monkeypox virus (MPXV) is passed on when people encounter infectious animals. Before April 2022, the Monkeypox virus was reported only in South Africa and its surrounding region but now it has been spread all over the world. This Monkeypox virus consumes an incubation period of five to twenty-one days and can be communicated through direct contact, breathing, contaminated towels, bedding, and so on. The Orthopoxvirus variety is a subfamily of the Poxviridae family that incorporates the Monkeypox infection. Their unique property is to suppress the host defense system and to exploit host immunity. Treatment of Monkeypox involves two vaccines named JYNNEOSTM and ACAM2000. Antiviral medications can be considered for serious diseases, immunocompromised patients, pediatrics, pregnant and lactating ladies, complex sores, and when injuries happen close to the mouth, eyes, and privates. This review article gives a basic information ofA48R, a thymidine kinase, which is involved in DNA replication pathways in the Monkeypox virus. The potential drugs for A48R inhibition like NMCT and rutaecarpine are considered good synthetic drugs. The maximum affinity -18 was shown by phytochemical dictamnine, amentoflavone -7.5, citral -7.8, and naringin – 6.6 which can be isolated from different plants.  The purpose of this review article is to describe variations in genomic epidemiology and in-silico screening of potential phytochemicals to cure Monkeypox.Keywords: Monkeypox virus; Orthopoxvirus; Poxviridae; A48R; Phytochemicals

Antidiarrheal and antispasmodic activities of adiantum capillus-veneris are predominantly mediated through ATP-dependent K+ channels activation

The study was tempted to explore the scientific basis for the medicinal use of Adiantum capillus-veneris L. in diarrhea using the in vivo and in vitro assays. The crude extract of dried leaves of A. capillus-veneris exhibited antidiarrheal effect against castor oil-induced diarrhea in mice at 300 and 500 mg/kg, similar to the effect loperamide. It was also found safe up to administered dose of 7 g/kg in mice. In isolated rabbit jejunum, extract of A. capillus-veneris showed a concentration-dependent relaxation of spontaneous and low K+ (25 mM)-induced contractions and had weak inhibitory effect on high K+ (80 mM), similar to the activity pattern of cromakalim, an ATP-dependent K+ channel opener. Interestingly, its inhibitory effect on spontaneous contractions was potentiated in the presence of atropine. These data demonstrates that A. capillus-veneris possesses antidiarrheal and antispasmodic properties mediated possibly through ATP-dependent K+ channels activation, thus providing scientific basis to its folk use in abdominal colic and diarrhea

Policy Input on Human Rights Issues by the Supreme Judiciary in Pakistan: Application of Stage Model of Public Policy

 The researches have revealed the legislature as the policy or law-making body and the executive branch as the policy implementing body whereas the third pillar of the state, the judiciary, is considered as a legal institute working as an arbitrator in all legal matters. However, the increasing pieces of evidence depict that the judiciary not only acts as an arbitrator in all legal controversies but also plays a role in public policymaking and politics. It is one of the official actors that plays its role in policy processes. This paper examines the role of the Supreme Court of Pakistan (SCP) in generating policy input at different stages of policy making. Content and thematic analysis methods have been used on all judicial verdicts given by the SCP on Human Rights Cases (HRCs). The time period ranges from 2009 to 2019. Purposive sampling technique is utilized to draw a sample containing HRCs from the population of judicial verdicts given by SC during the last ten years. The analysis reveals that the Supreme Judiciary provides its policy input and impacts policy process. It has the power to play its significant role in policymaking by giving policy input in problem identification and agenda-setting, policy formulation, policy adoption, and policy evaluation. The policy input given by SCP should be utilized in an effective way to reduce human rights issues and alleviate the infringement of fundamental rights of the citizens of Pakistan

Magnetic resonance imaging findings in patients with schizophrenia

OBJECTIVE: To determine structural abnormalities in the brain of patients with schizophrenia by Magnetic Resonance Imaging (MRI). STUDY DESIGN: Comparative study. PLACE AND DURATION OF STUDY: The Departments of Radiology and Psychiatry, the Aga Khan University Hospital, Karachi, from January 2007 to June 2008. METHODOLOGY: Thirty-three cases of schizophrenia (n=33) and thirty-three age-matched controls, (n=33) were enrolled for this study. Screening Magnetic Resonance Imaging (MRI) of brain was done in order to see structural changes in brain matter. Findings were compared among groups using chi-square and Fisher\u27s exact test with significance at p \u3c 0.05. RESULTS: Among the total of 66 (n=66) MRI films studied for brain abnormalities, brain atrophy, presence of septum pellucidum and enlarged Virchow-Robins spaces were significantly associated with schizophrenia (p \u3c 0.001). There was no significant difference between cases and controls for ventricular dilatation (p=0.5). Sinusitis was mostly associated with controls and well correlated with their symptoms (p \u3c 0.001). CONCLUSION: Brain atrophy was the most commonly seen brain change in the studied sample of patients with schizophrenia. MRI brain can be used to identify structural abnormalities in patients with schizophrenia

Autonomous Underwater Robotic System for Aquaculture Applications

Aquaculture is a thriving food-producing sector producing over half of the global fish consumption. However, these aquafarms pose significant challenges such as biofouling, vegetation, and holes within their net pens and have a profound effect on the efficiency and sustainability of fish production. Currently, divers and/or remotely operated vehicles are deployed for inspecting and maintaining aquafarms; this approach is expensive and requires highly skilled human operators. This work aims to develop a robotic-based automatic net defect detection system for aquaculture net pens oriented to on- ROV processing and real-time detection of different aqua-net defects such as biofouling, vegetation, net holes, and plastic. The proposed system integrates both deep learning-based methods for aqua-net defect detection and feedback control law for the vehicle movement around the aqua-net to obtain a clear sequence of net images and inspect the status of the net via performing the inspection tasks. This work contributes to the area of aquaculture inspection, marine robotics, and deep learning aiming to reduce cost, improve quality, and ease of operation.Comment: arXiv admin note: text overlap with arXiv:2308.1382

Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions

Genome-wide association mapping identifies quantitative trait loci (QTL) that influence the mean differences between the marker genotypes for a given trait. While most loci influence the mean value of a trait, certain loci, known as variance heterogeneity QTL (vQTL) determine the variability of the trait instead of the mean trait value (mQTL). In the present study, we performed a variance heterogeneity genome-wide association study (vGWAS) for grain cadmium (Cd) concentration in bread wheat. We used double generalized linear model and hierarchical generalized linear model to identify vQTL associated with grain Cd. We identified novel vQTL regions on chromosomes 2A and 2B that contribute to the Cd variation and loci that affect both mean and variance heterogeneity (mvQTL) on chromosome 5A. In addition, our results demonstrated the presence of epistatic interactions between vQTL and mvQTL, which could explain variance heterogeneity. Overall, we provide novel insights into the genetic architecture of grain Cd concentration and report the first application of vGWAS in wheat. Moreover, our findings indicated that epistasis is an important mechanism underlying natural variation for grain Cd concentration

A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding

Collecting plant phenotypic data with sufficient resolution (in both space and time) and accuracy represents a long standing challenge in plant science research, and has been a major limiting factor for the effective use of genomic data for crop improvement. This is particularly true in plant breeding where collecting large-scale field-based plant phenotypes can be very labor intensive and costly. In this paper we reported a multi-sensor system for high throughput phenotyping in plant breeding. The system comprised five sensor modules (ultrasonic distance sensors, thermal infrared radiometers, NDVI sensors, portable spectrometers, and RGB web cameras) to measure crop canopy traits from field plots. A GPS was used to geo-reference the sensor measurements. Two environmental sensors (a solar radiation sensor and air temperature/relative humidity sensor) were also integrated into the system to collect simultaneous environmental data. A LabVIEW program was developed to control and synchronize measurements from all sensor modules and stored sensor readings in the host computer. Canopy reflectance spectra (by portable spectrometers) were post processed to extract NDVI and red-edge NDVI spectral indices; and RGB images were post processed to extract canopy green pixel fraction (as a proxy for biomass). The sensor system was tested in a soybean and wheat field trial. The results showed strong correlations among the sensor-based plant traits at both early and late growing season. Significant correlations were also found between the sensor-based traits and final grain yield at the early season (Pearson’s correlation coefficient r ranged from 0.41 to 0.55) and late season (r from 0.55 to 0.70), suggesting the potential use of the sensor system to assist in phenotypic selection for plant breeding. The sensor system performed satisfactorily and robustly in the field tests. It was concluded that the sensor system could be a powerful tool for plant breeders to collect field-based, high throughput plant phenotyping data

Climate Changes and its Impact on the Agriculture Sector in Selected South Asian Countries

This study depicts an inclusive estimation of climate variation and its effects on agriculture sector in theselected South Asian countries (India, Bangladesh, Pakistan, Nepal, Bhutan and Sri-Lanka) over the period of 1990-2014. Agriculture sector plays vigorous role in the economy of selected South Asian states because more than 60%people work in this sector. The rapid growth of industrialization and weather variation causes the raise of thetemperature level by which reduce production of agriculture crops and the people face heavy losses. Therefore, mainobjective of this study is to detect the influence of the global weather variation in agriculture sector of selected SouthAsian countries. Agriculture sector is used as dependent variable. CO2 emission, gross capital formation, labor forceand temperature are used as explanatory variables. Auto regressive distributed lag model is employed to examine theinfluence of climate variation on the agricultural sector. For analysis panel data were collected from selected SouthAsian countries. The existence of the short and long term relationship between dependent and independent variables isalso assessed by this model. Thus, findings show the climate variation has significant effect on the agricultural sector.In a policy recommendation, government should use sector-wise policies and friendly environmental policies whichminimize the negative effect of climate change

Occurrence of HCV genotypes in different age groups of patients from Lahore, Pakistan

Background: Hepatitis C virus is a small, enveloped single stranded, positive sense RNA virus. Different genotypes are distributed in different geographical areas of the world. Determination of HCV genotype is a powerful tool for the treatment of chronic and acute liver disease.Method: The present study was carried out to find the occurrence of different HCV genotypes in the city of Lahore, a populous city of Pakistan from January 2010 to December 2010. Blood sample of patients positive for anti HCV by ELISA as well as HCV by PCR were collected and plasma was separated. HCV viral RNA load was analyzed in these samples using Real Time PCR. Qiagen HCV mini kit for RNA extraction and Qiagen HCV amplification kit for PCR amplification were used. Amplicons were subjected to HCV genotyping using Third Wave Technology.Results: Among 489 patients, 211 (43.1%) patients were males and 278 (56.9%) were females. Occurrence of HCV in the age group of 36-45 years was 32.5 %. Occurrence of HCV genotype 1 was 9.6% (47), genotype 3a was 80.77% (395), genotype 3h was 1.0% (5) , genotype 4 was 4.9% (24), co-infection of genotypes 1 & 2 was 0.2% (01), co-infection of genotypes 1 & 3 was 0.6% (03) and co-infection genotypes 1 & 4 was 0.4% (02).Conclusion: HCV genotype 3a is most prevalent HCV genotype in subjected population during said duration with most infected people from 26 to 35 years of age. Female population is having more of HCV infection as compared to males