An evaluation of Pakistan's food supply and security

Governments prioritize global food insecurity. Food insecurity affects a billion people, with Asia and the Pacific Islands having the highest rates and Sub-Saharan Africa the lowest. Pakistan is one of the worst-hit countries due to a surge in chronically food-insecure people. Pakistan's food crisis persists. Due to improved worldwide methods and statistics on population, food balance sheets, and consumption patterns, Pakistan's PoU for 2017-19 is 12.3%, up from 12.0% the year before. This is helping measure progress on SDG indicator 2.1.1. 26 million individuals cannot fulfill their basic calorie needs, and the number is rising

Interactive Influence of Nutrient Density and Feeding Pattern on Production Performance of Broiler Breeders

Background: In addition to energy and protein, the minerals also play a vital role in the production performance of birds. The present study was conducted to examine the effect of high energy feed and separate calcium feeding on feed cleanup time and production parameters in broiler breeder pullets. Methods: Nine hundred female birds of the same age (26 week) were divided in nine groups having one hundred birds in each group.  Three different dietary treatments were offered. The group A, B and C were given feeds having 2750, 2900, 2950 Kcal ME / kg and 14.5%, 15%, 15.5% CP respectively along with 165, 155 and 150 grams peak feed allowance at 60 % production.  The second and third groups were given 10 g separate calcium source in the evening.  The experiment continued for a period of twelve weeks.Results: The feed intake was significantly lower in group C as compared to A and B. A significantly lower feed cleanup time and higher hatchability percentage was observed in group B compared to groups A and C. The FCR eggs was significantly lower for groups B and C compared to group A.  The FCR chicks was significantly lower in group B and C compared to group A.  The cost of feed to produce chicks was significantly lower for group B compared to group A and C. Feed consumed to produce one chick was higher for group A compared to groups B and C.  The feed cost to produce one chick was highest for group A and lowest for group B.Conclusion: These results suggested that feed B has lowest feed consumption, cost to produce one chick and feed cleanup time while highest hatchability hence it can be used in the broiler breeder industry to decrease the cost of production and increase profitability

An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain

In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for electric vehicles (EVs) in a vehicular energy network (VEN). EVs face two major problems: finding an optimal charging station and calculating the exact amount of energy required to reach the selected charging station. Moreover, in traditional trading approaches, centralized parties are involved in energy trading, which leads to various issues such as increased computational cost, increased computational delay, data tempering and a single point of failure. Furthermore, EVs face various energy challenges, such as imbalanced load supply and fluctuations in voltage level. Therefore, a demand-response (DR) pricing strategy enables EV users to flatten load curves and efficiently adjust electricity usage. In this work, communication between EVs and aggregators is efficiently performed through blockchain. Moreover, a branching concept is involved in the proposed system, which divides EV data into two different branches: a Fraud Chain (F-chain) and an Integrity Chain (I-chain). The proposed branching mechanism helps solve the storage problem and reduces computational time. Moreover, an attacker model is designed to check the robustness of the proposed system against double-spending and replay attacks. Security analysis of the proposed smart contract is also given in this paper. Simulation results show that the proposed work efficiently reduces the charging cost and time in a VEN.publishedVersio

Activity of plant essential oils against antibiotic resistant Enterococcus faecalis isolated from diarrheic children

Activity of plant essential oils and their fractions was evaluated against characterized isolates of antibiotic resistant Enterococcus faecalis recovered from diarrheic children. The isolates were confirmed by polymerase chain reaction (PCR) targeting 16S rRNA gene amplification followed by nucleotide sequencing and accession numbers retrieved were MW349990.1, MW349859.1, MW332122.1, MW356805.1, MW349975.1, MW349988.1, MW356790.1, MW356244.1, MW341593.1 and MW332549.1. These isolates were screened for antibiotic susceptibility to a wide range of antibiotic groups and mean zone of inhibition (ZOI) of all antibiotics were recorded. Antibacterial activity of plant essential oils (n=05) was checked against three antibiotic resistant isolates of E. faecalis. Three plant essential oils having higher ZOI including Cinnamomum verum, Syzygium aromaticum and Nigella sativa were used against resistant E. faecalis isolates to determine minimum inhibitory concentration (MIC). The lowest MIC observed was of S. aromaticum (11.39±3.94 mg mL-1). The S. aromaticum n-hexane plus chloroform fraction displayed higher mean ZOI (16.67±2.51 mm), while the lowest MIC was of n-hexane oil fraction. Based upon gas chromatography-mass spectrometry (GC/MS) analysis, the most effective fatty acid was eugenic acid which is present in higher proportion in both fractions. These fractions of essential oils proved safe for the treatment of antibiotic resistant diarrheic cases of children caused by E. faecalis

Molecular characterization of ochratoxin a producing indigenous Aspergillus strains from poultry feed in Pakistan

Ochratoxin A (OTA) is nephrocarcinogenic and immunosuppressive toxin and OTA producing molds contaminate the food crops. Isolation and identification of ochratoxin producing fungi was carried out from poultry feed samples (n=120) followed by preliminary confirmation through macroscopic and microscopic characteristics. Purified fungal isolates identified as Aspergillus 1842(91.68%) followed by Penicillium 91 (4.53%), Mucor 52 (2.58), Alternaria 7 (0.35%), Cladosporium 6 (0.29%), Fusarium 4 (0.199%) and unidentified (07). OTA production was confirmed through thin layer chromatography (TLC) followed by high performance liquid chromatography (HPLC). Only 41 isolates (2.22%) out of 1842 Aspergillus isolates were able to produce toxin. At genetic level, characterization was performed through polymerase chain reaction (PCR) using species specific gene primers. From 41 isolates 27, 9 and 5 were characterized as Aspergillus terreus, Aspergillus parasiticus, and Aspergillus ochraceus, respectively. Physical and chemical factors were optimized for OTA production. Under the effect of 37 °C temperature and 7.5 pH of Sabouraud dextrose broth (SDB) medium, higher toxin (969.45±.03 μg/mL) production was observed from ASPO-6 isolate. ASPO-4 isolate produce higher toxin amount in SDB medium with supplementation of maize 5%, wheat 1% and rice 3%. OTA stability was determined by adjusting standard concentration of 100 μg/mL in organic solvents (chloroform, acetonitrile and methanol) and organic solids. Least percentage log reduction in OTA concentration and stability of OTA was observed in opaque vials with chloroform and sucrose and transparent vials with sucrose after 6 months. OTA can be used as indigenous standard for identification of OTA from field samples

Revamping of Chronic Respiratory Diseases in Low- and Middle-Income Countries

Low- and middle-income countries (LMICs) endure an asymmetrically high burden of worldwide disease and death caused by chronic respiratory diseases (CRDs), i.e., asthma, emphysema, bronchiectasis, and post-tuberculosis lung disease (PTLD). CRDs are firmly related with indigence, infectious diseases, and other non-communicable diseases (NCDs) and add to complex multi-disease with great impact on the lives and livelihood of those affected. The pertinence of CRDs to health and demographic wellbeing is relied upon to increment in the long time ahead, as expectations of life rise and the contending dangers of right on time youth mortality and irresistible infections level. The WHO has distinguished the counteraction and control of NCDs as an earnest improvement issue and crucial for the sustainable development goals (SDSs) by 2030. In this review, we center on CRDs in LMICs. We examine the early life roots of CRDs, challenges in their avoidance, identification and administration in LMICs, and the pathways to resolve for accomplish valid widespread wellbeing inclusion

An automated approach to regression testing of web services based on WSDL operation changes

International audienc

Job Stress and Burnout Among University Teachers with Mediating Effect of Social and Gender Support

The core objective of the research was to analyze the association between job stress and burnout among university teachers. It has been observed that stress and burnout is the natural phenomenon present in every working place, particularly among university teachers. Therefore a quantitative survey was conducted to determine whether stress and burnout are related and the impact of social support and gender differences on the relationship. For statistical analysis, teachers from four public universities in Lahore city were taken as samples. Survey questionnaires were distributed among 400 teachers through stratified random sampling. The results show that stress and burnout are positively correlated, but social support can mediate in reducing the stress to burnout relationship. Social support as a moderator plays a vital role in suppressing the pressure build-up among the teachers due to job stress and burnout. This study might be beneficial for teachers in understanding the consequences of stress and the importance of social support from university and family. This study might help retain work-life balance among teachers. &nbsp

Smart energy management system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic flower pollination algorithm

Demand Side Management (DSM) plays a significant role in the smart grid to minimize Electricity Cost (EC). Home Energy Management Systems (HEMSs) have recently been studied and proposed explicitly for HEM. In this paper, we propose a novel nature-inspired hybrid Genetic Flower Pollination Algorithm (GFPA) to minimize cost with an affordable delay in appliance scheduling. Our proposed GFPA algorithm combines elements of the Genetic Algorithm (GA) and Flower Pollination Algorithm (FPA) to create a hybrid approach. To assess the effectiveness of the proposed algorithm, we consider a scalable town consisting of 1, 10, 30, and 50 homes, respectively. The proposed solution finds an optimal scheduling pattern that simultaneously minimizes EC and Peak to Average Ratio (PAR) while maximizing User Comfort (UC). We assume that all homes are homogeneous in terms of appliances and power consumption patterns. Simulation results show that our proposed scheme GFPA performs better when applying Critical Peak Pricing (CPP) signal using different Operational Time Intervals (OTIs) and compared with unscheduled, GA, and FPA-based solutions in terms of reducing cost since they achieve on average 98%, 36%, 23%, and 22%, respectively. Similarly, PAR averages 98%, 36%, 59%, and 55%, respectively. While, UC comparing to GA and FPA, are around 88%, 48%, and 63%, respectively. Our proposed scheme achieves better results by applying Real Time Pricing (RTP) signals and different OTIs. As these schemes, i.e., unscheduled, GA, FPA, and GFPA, achieve cost on average 92%, 50%, 29%, and 28%, respectively. While PAR on average 94%, 39%, 62%, and 56%, and UC for GA, FPA, and GFPA on average 98%, 52%, and 49%, respectively. Overall, our proposed GFPA algorithm offers a more effective solution for minimizing EC with an affordable delay in appliance scheduling while considering PAR and UC