Career Engine

People\u27s education is so widely available in this age of tough competition that openings for them in jobs are getting harder to find. Companies need people in their fields with a solid educational foundation and maximum years of job experience. Finding people who are talented, intelligent, and competent enough to be given a position at that time is challenging. Companies are working harder than ever to find people who can meet their needs.[1] Thousands of applicants are competing for one job opening. When considering these difficulties, one may come up with a strategy or approach that can help manage and control them while also simplifying the work. The goal of this project is to find that one thing that will not only connect job searchers and employers but also streamline the online application process. Here, the hiring procedure is managed by the system. This project will make it possible for job seekers from various walks of life to apply for a position in the organization for a potentially exciting job opening. Job seekers can utilize the application to update their profile information, competencies, and skill set. When job seeker applies for a position, they create an account and are referred to as the applied user.[1] User will get in touch with the recruiter to get updates if user were qualified. The recruiters, on the other hand, have the opportunity to post any new job openings they may have in their companies, interact with applicants if necessary, and interview qualified applicants. This system will be entirely under the admin\u27s control, with the lone exception of the evaluation procedure, which is company-specific and hence unpredictable. The management of users, roles, and job listings is also included. Although this is a modernized and improved version of the current process or system, it is by no means a novel concept. It\u27s anticipated that this application will go live in the first week of December 2022

Perception of the environmental impact of chemical fertilizer application by vegetable farmers along River Ngadda of Maiduguri, Borno State, Nigeria

There is an increasing global concern on the current agricultural practices that are not sustainable owing to adverse impact of chemical fertilizer application on environment. This study identifies types of fertilizer applied, examined farmers knowledge on fertilizer application and assessed farmers perception of the impact of fertilizer on environment along river Ngadda in Maiduguri, Borno State, Nigeria. Data were collected from both primary and secondary sources. Primary data were generated through field observation and anonymous structured interview questionnaire were used, while the secondary data was obtained from relevant literature. Through purposeful sample, 120 farmers were selected for the study. Findings revealed that farmers applied NPK fertilizer were 31.9%, Urea fertilizer 27.1%, Phosphorus 19.4% and those applied combined Urea and NPK were 21.5%. The study revealed farmers knowledge on fertilizer application, 50.8% have no formal training, 28.3% trained by extension workers and 20.8% were trained by World Food Program. Findings also revealed that 6.0% of the respondents perceived fertilizer pollute air, contribute to climate change were 2.7%, contaminate soil 25.7% while 3.8% perceived fertilizer build-up heavy metals in soil. Those perceived pollute groundwater were 12.0% and causes eutrophication 21.9%. The study concluded that chemical fertilizer increases plant growth and vigor, hence meets the food security of the world, but its continuous use degrades the soil and environmental pollutions. We recommended that opting organic farming and biofertilizers will create a healthy natural environment for the present as well as future generation

Effect of Number of Beaters on the Performance of Household Hammer Mill

A hammer mill with three different hammers having 2, 4 and 6 beaters was developed and evaluated. Maize and guinea corn were crushed at 3 different angular speeds of the hammer rotations (2600 rpm, 3000 rpm and 3400 rpm). Each beater was fixed on the shaft at a time and machine was started. As soon as the machine reached the required speed, 500g of sample was fed into the crushing chamber through the feed hopper. The final product was collected, weighed. Fuel consumed during the operation and the time taken were recorded. The process was replicated 3 times for both maize and guinea corn using the 3 hammers. The result obtained during the evaluation revealed that the average milling efficiency and specific fuel consumption (sfc) for 6 beaters, 4 beaters and 2 beaters were 83.5 % and 3.8 l/h, 72.47 % and 2.07 l/h and 60.19 % and 0.94 l/h respectively. The average milling efficiency and sfc for maize and guinea corn were 72.18 % and 2.45 l/h and 71.93 %, 2.09 l/h respectively. Number of beaters and angular speed of beaters and their interactions significantly affected the milling efficiency at 5 % level. Number of beaters, angular speed of beaters, sample type and their interactions significantly affected the sfc at 5 % level

Online Payment Module

The aim of this project is to deploy the online payment service in Moodle. All the major debit, credit and international card (transactions) can be accepted for payment. Online payment module prepares a web server that takes all types of transactions. This module can be enabled by the site administrator. If it is enabled, students can pay for their classes through online transactions. Administrator can set an individual price for a course if needed. It allows the user to create their own account and add optional account links. This project is important to resolve the issues for students and administrators to have an easy glance at the course registration like selection of their courses, Fee details. This project makes it easy for students to look for the courses and register, one can check the site as a guest and can create his/her own account and can enroll for subjects. One can see the fee details for each course

Unconventional machine learning of genome-wide human cancer data

Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective. While the deluge of genomic information is expected to increase, a bottleneck in conventional high-performance computing is rapidly approaching. Inspired in part by recent advances in physical quantum processors, we evaluated several unconventional machine learning (ML) strategies on actual human tumor data. Here we show for the first time the efficacy of multiple annealing-based ML algorithms for classification of high-dimensional, multi-omics human cancer data from the Cancer Genome Atlas. To assess algorithm performance, we compared these classifiers to a variety of standard ML methods. Our results indicate the feasibility of using annealing-based ML to provide competitive classification of human cancer types and associated molecular subtypes and superior performance with smaller training datasets, thus providing compelling empirical evidence for the potential future application of unconventional computing architectures in the biomedical sciences

Cholesterol-Independent SREBP-1 Maturation Is Linked to ARF1 Inactivation

Lipogenesis requires coordinated expression of genes for fatty acid, phospholipid, and triglyceride synthesis. Transcription factors, such as SREBP-1 (Sterol regulatory element binding protein), may be activated in response to feedback mechanisms linking gene activation to levels of metabolites in the pathways. SREBPs can be regulated in response to membrane cholesterol and we also found that low levels of phosphatidylcholine (a methylated phospholipid) led to SBP-1/SREBP-1 maturation in C. elegans or mammalian models. To identify additional regulatory components, we performed a targeted RNAi screen in C. elegans, finding that both lpin-1/Lipin 1 (which converts phosphatidic acid to diacylglycerol) and arf-1.2/ARF1 (a GTPase regulating Golgi function) were important for low-PC activation of SBP-1/SREBP-1. Mechanistically linking the major hits of our screen, we find that limiting PC synthesis or LPIN1 knockdown in mammalian cells reduces the levels of active GTP-bound ARF1. Thus, changes in distinct lipid ratios may converge on ARF1 to increase SBP-1/SREBP-1 activity

Endothelial Mitogen-Activated Protein Kinase Kinase Kinase Kinase 4 Is Critical for Lymphatic Vascular Development and Function

The molecular mechanisms underlying lymphatic vascular development and function are not well understood. Recent studies have suggested a role for endothelial cell (EC) mitogen-activated protein kinase kinase kinase kinase 4 (Map4k4) in developmental angiogenesis and atherosclerosis. Here, we show that constitutive loss of EC Map4k4 in mice causes postnatal lethality due to chylothorax, suggesting that Map4k4 is required for normal lymphatic vascular function. Mice constitutively lacking EC Map4k4 displayed dilated lymphatic capillaries, insufficient lymphatic valves, and impaired lymphatic flow; furthermore, primary ECs derived from these animals displayed enhanced proliferation compared with controls. Yeast 2-hybrid analyses identified the Ras GTPase-activating protein Rasa1, a known regulator of lymphatic development and lymphatic endothelial cell fate, as a direct interacting partner for Map4k4. Map4k4 silencing in ECs enhanced basal Ras and extracellular signal-regulated kinase (Erk) activities, and primary ECs lacking Map4k4 displayed enhanced lymphatic EC marker expression. Taken together, these results reveal that EC Map4k4 is critical for lymphatic vascular development by regulating EC quiescence and lymphatic EC fate

Genome Evolution and Innovation across the Four Major Lineages of Cryptococcus gattii

We acknowledge the Broad Institute Sequencing Platform and Imperial College London for generating the DNA sequence described here (and R265 Illumina sequences described previously [4]). We thank Sinéad Chapman for coordinating sequencing at the Broad Institute and Margaret Priest for assistance in submitting assemblies to NCBI. This project was supported by the National Human Genome Research Institute, grant no. U54HG003067. R.A.F. is supported by the Wellcome Trust. R.C.M. is supported by the Lister Institute for Preventive Medicine, the Medical Research Council UK, and the European Research Council.Peer reviewedPublisher PD

Lake Imaging and Monitoring Aerial Drone

We describe the development of a BVLOS (Beyond Visual Line-Of-Sight) model aircraft (UAV). The broad design requirements included (i) fuselage capable of accommodating an imaging package or other instrumentation, (ii) suitability for over-lake BVLOS authorization in Switzerland, (iii) capability of land or water take-offs/landing, (iv) at least 90-min flight autonomy, (v) modularity of the imaging package and (vi) real-time IR/RGB imagery. Requirement (i) was to ensure an aircraft amenable to future developments. Requirements (ii)-(iv) were driven by the goal of improving estimates of lake surface energy fluxes, since such fluxes have a major impact on long-term lake temperatures and hence ecological status. Requirement (v), in conjunction with (i), allows the UAV to be adapted to other imaging applications. The real-time imagery requirement (vi) permits modifications of on-going missions to map areas of specific interest as they are detected. The prototype UAV produced to satisfy these characteristics was built on the twin-motor My Twin Dream (MTD) aircraft, which has a 1.8-m wing span airframe and a spacious fuselage. The legal authorization necessitated, where feasible, hardware redundancy as well as installation of a parachute system. Continuous communication between the ground station and UAV is provided by the LTE cellular telephone network. The UAV communication is handled by an on-board Linux computer, which is also responsible for control of the imagery package. The avionics involved modifications of the open-source APM autopilot software and the associated ground control station. A key modification was to support a custom-built emergency recovery system, which is triggered by loss of a heartbeat signal from the autopilot. The MTD airframe was modified to accommodate the system electronics and imaging hardware. Results from test flights over Lake Geneva demonstrate the ability of the aircraft to produce imagery data