The impact of human resources training and development strategy on crisis management: an analytical study in the general company for food products

The current research aims to test the impact of HR training and development strategy on crisis management, the problem of the research is there an impact of the strategy of training and developing human resources in crisis management in the Iraq Insurance Company? A questionnaire was used to collect data according to the distribution of (80) questionnaires on the research sample. The data were analyzed using the SPSS program, using several statistical tools to test the hypothesis of the research. The research came out with a set of conclusions, one of the most important thinks was that there is an impact of the strategy of training and developing HR in crisis management in the Iraq Insurance Company. The research came out with many suitable recommendations

Impact of Urban Growth on Groundwater Levels using Remote Sensing - Case Study: Erbil City, Kurdistan Region of Iraq

Remote sensing and Geographic Information Systems (GIS) have been broadly used to detect and analyze urban expansion that is one of the most significant issues facing researchers of urban issues. In the current paper, setting out to examine the applicability of remote sensing and GIS to detect urbanization and its effect on quantities of groundwater spatio-temporal data, Landsat image 5-TM and 8-OLI were utilized. The images were classified into urban and non-urban through supervised classification (maximum likelihood logarithm) to provide an urban growth map over a period of ten years. Regression analysis was utilized to identify the relationship between urbanization and groundwater level. In addition, the Markov and the CA- models were used to forecast an urban growth map. The study points out that Erbil city has experienced remarkable changes to its urban areas which have increased by 278% between 2004 and 2014.  In contrast, the level of groundwater has declined by more than 54%. The prediction model result of the CA-Markov also indicated that built up areas would continue to increase by 37% to 64% between 2020 and 2025; the average of groundwater depth therefore will continue to decrease by 23% in 2025, depending on regression analysis. Keywords: groundwater level, urbanization, remote sensing, prediction groundwater depth, regression analysi

Smart management system for monitoring and control of infant baby bed

Step by step the innovation likewise becomes exceptionally quick and the human makes it. Thus, it is imperative to take care of the people to come, a unique consideration ought to be appeared to them particularly indulges. This paper manages plan and usage of intelligent child support framework which is extraordinary blessing to guardians in this century In this work a baby bed with intelligent system was be designed and implemented . many sensors where be used to monitor the baby behavior . the component of this project consist of a smart camera , moisture sensor , sensitive Dc Motor and WiFi system

Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

The evaluation of electrical load estimation is requisitely of any electrical power system. This manner is needed for system obligation, economical distribution and maintenance time of electrical system. In this paper, we propose electrical load estimation method based on fuzzy inference system which gives accurate results for estimated loads in Iraq (Diyala governorateBaaquba city). And it can assist the electrical generation and distribution system that depends on important parameters (temperature, humidity and the speed of the wind). By considering the parameters temperature, humidity and the speed of the wind. These parameters are applied as inputs to the fuzzy logic control system to obtain the normalize estimated load as output by electing membership functions. It is exceptionally valuable to form a choice by taking into consideration these assessed readings that come to from the proposed FIS that displayed in this paper with precision of 0.969 from the real stack request

Smart healthcare system for severity prediction and critical tasks management of COVID-19 patients in IoT-fog computing environments

COVID-19 has depleted healthcare systems around the world. Extreme conditions must be defined as soon as possible so that services and treatment can be deployed and intensified. Many biomarkers are being investigated in order to track the patient's condition. Unfortunately, this may interfere with the symptoms of other diseases, making it more difficult for a specialist to diagnose or predict the severity level of the case. This research develops a Smart Healthcare System for Severity Prediction and Critical Tasks Management (SHSSP-CTM) for COVID-19 patients. On the one hand, a machine learning (ML) model is projected to predict the severity of COVID-19 disease. On the other hand, a multi-agent system is proposed to prioritize patients according to the seriousness of the COVID-19 condition and then provide complete network management from the edge to the cloud. Clinical data, including Internet of Medical Things (IoMT) sensors and Electronic Health Record (EHR) data of 78 patients from one hospital in the Wasit Governorate, Iraq, were used in this study. Different data sources are fused to generate new feature pattern. Also, data mining techniques such as normalization and feature selection are applied. Two models, specifically logistic regression (LR) and random forest (RF), are used as baseline severity predictive models. A multi-agent algorithm (MAA), consisting of a personal agent (PA) and fog node agent (FNA), is used to control the prioritization process of COVID-19 patients. The highest prediction result is achieved based on data fusion and selected features, where all examined classifiers observe a significant increase in accuracy. Furthermore, compared with state-of-the-art methods, the RF model showed a high and balanced prediction performance with 86% accuracy, 85.7% F-score, 87.2% precision, and 86% recall. In addition, as compared to the cloud, the MAA showed very significant performance where the resource usage was 66% in the proposed model and 34% in the traditional cloud, the delay was 19% in the proposed model and 81% in the cloud, and the consumed energy was 31% in proposed model and 69% in the cloud. The findings of this study will allow for the early detection of three severity cases, lowering mortality rates.Web of Science2022art. no. 501296

Clinical Laboratory Test And Radiological Methods In Diagnosis Of Orthopedics Condition: Role Of Nurses In Facilitating These Procedures: Review

Despite the fact that the fields of radiological imaging, pathology, and laboratory analysis appear to be very different from one another, the medical diagnostic information that these sources provide has a great deal in common with one another. This information can be utilized effectively by encouraging the sharing of quantitative and qualitative results through the utilization of modern information technology processes. Developing the capacities of informatics to coordinate the analysis of pictures produced by clinical radiological imaging, anatomic cellular and molecular pathology, and data gained from the analysis of biomarkers in the laboratory; this method is based on the development of these capabilities. This skill helps to stimulate the formation of novel "integrated diagnostics" in orthopedic disorders, and nursing plays an important part in the technical aspects of many orthopedic operations

An Overview Of Disinfectant And Antiseptic Techniques And Its Important In Nursing, Dentistry And Operating Theatre

In contemporary Oral and Maxillofacial surgery, intricate surgical and aesthetic treatments are performed, which are accompanied by a higher likelihood of infection complications. Thus, in order to guarantee improved results of the surgical treatments, it is imperative that adequate measures are implemented to reduce the occurrence of related infections. The infection control practices encompass meticulous scrubbing techniques for both the patient and the operator, adherence to specific protocols by the operating personnel during procedures, careful handling of instruments, and the maintenance of an aseptic environment throughout the entire procedure. The primary objective of this chapter is to present details regarding the preoperative, operative, and post-operative protocols that must be followed to enhance the safety of patients having surgical procedures

Novel thiophene Chalcones-Coumarin as acetylcholinesterase inhibitors: Design, synthesis, biological evaluation, molecular docking, ADMET prediction and molecular dynamics simulation

A series of around eight novel chalcone based coumarin derivatives (23a-h) was designed, subjected to in-silico ADMET prediction, synthesized, characterized by IR, NMR, Mass analytical techniques and evaluated as acetylcholinesterase (AChE) inhibitor for the treatment of Alzheimer's disease (AD). The results of predicted ADMET study demonstrated the drug-likeness properties of the titled compounds with developmental challenges in lipophilicity and solubility parameters. The in vitro assessment of the synthesized compounds revealed that all of them showed significant activity (IC50 ranging from 0.42 to 1.296 µM) towards AChE compared to the standard drug, galantamine (IC50 = 1.142 ± 0.027 µM). Among these, compound 23e displayed the most potent inhibitory activity with IC50 value of 0.42 ± 0.019 µM. Cytotoxicity of all compounds was tested on normal human hepatic (THLE-2) cell lines at three different concentrations using the MTT assay, in which none of the compound showed significant toxicity at the highest concentration of 1000 µg/ml compared to the control group. Based on the docking study against AChE, the most active derivative 23e was orientated towards the active site and occupied both catalytic anionic site (CAS) and peripheral anionic site (PAS) of the target enzyme. In-silico studies revealed tested showed better inhibition activity of AChE compared to Butyrylcholinesterase (BuChE). Molecular dynamics simulation explored the stability and dynamic behavior of 23e- AChE complex

Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication